From 29a8d07c7975c2b91fe3b688e7e56fe093bda5b9 Mon Sep 17 00:00:00 2001 From: Cristian Pufu Date: Sat, 21 Feb 2026 11:49:58 +0200 Subject: [PATCH] fix: remove auto generated files from samples --- .gitignore | 8 + .../.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 549 --- samples/RAG-quiz-generator/AGENTS.md | 21 - samples/RAG-quiz-generator/CLAUDE.md | 1 - samples/RAG-quiz-generator/bindings.json | 46 +- samples/RAG-quiz-generator/entry-points.json | 1310 ------ samples/RAG-quiz-generator/pyproject.toml | 6 +- samples/RAG-quiz-generator/uipath.json | 1 - samples/RAG-quiz-generator/uv.lock | 3301 ---------------- .../.agent/CLI_REFERENCE.md | 231 -- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 668 ---- samples/bring-your-own-model/AGENTS.md | 21 - samples/bring-your-own-model/CLAUDE.md | 1 - samples/bring-your-own-model/bindings.json | 2 +- .../bring-your-own-model/entry-points.json | 72 - samples/bring-your-own-model/pyproject.toml | 8 +- samples/bring-your-own-model/uv.lock | 2873 -------------- .../calculator-agent/.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../calculator-agent/.agent/SDK_REFERENCE.md | 549 --- samples/calculator-agent/AGENTS.md | 21 - samples/calculator-agent/CLAUDE.md | 1 - samples/calculator-agent/bindings.json | 4 - samples/calculator-agent/entry-points.json | 84 - samples/calculator-agent/pyproject.toml | 6 +- samples/calculator-agent/uv.lock | 2953 -------------- samples/chat-agent/.agent/CLI_REFERENCE.md | 618 --- .../chat-agent/.agent/REQUIRED_STRUCTURE.md | 92 - samples/chat-agent/.agent/SDK_REFERENCE.md | 668 ---- samples/chat-agent/AGENTS.md | 21 - samples/chat-agent/CLAUDE.md | 1 - samples/chat-agent/bindings.json | 4 - samples/chat-agent/entry-points.json | 2204 ----------- samples/chat-agent/pyproject.toml | 6 +- samples/chat-agent/uv.lock | 3042 -------------- .../chat-hitl-agent/.agent/CLI_REFERENCE.md | 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| 21 - samples/company-research-agent/CLAUDE.md | 1 - samples/company-research-agent/bindings.json | 4 - .../company-research-agent/entry-points.json | 106 - samples/company-research-agent/pyproject.toml | 6 +- samples/company-research-agent/uv.lock | 3032 -------------- samples/debug-agent/.agent/CLI_REFERENCE.md | 618 --- .../debug-agent/.agent/REQUIRED_STRUCTURE.md | 92 - samples/debug-agent/.agent/SDK_REFERENCE.md | 668 ---- samples/debug-agent/AGENTS.md | 21 - samples/debug-agent/CLAUDE.md | 1 - samples/debug-agent/bindings.json | 4 - samples/debug-agent/entry-points.json | 237 -- samples/debug-agent/pyproject.toml | 6 +- samples/debug-agent/uv.lock | 2972 -------------- .../.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 643 --- .../AGENTS.md | 21 - .../CLAUDE.md | 1 - .../bindings.json | 4 - .../entry-points.json | 125 - .../pyproject.toml | 6 +- .../debug-parallel-interrupts-agents/uv.lock | 2949 -------------- .../.agent/CLI_REFERENCE.md | 618 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 686 ---- samples/deepagent-storage-buckets/AGENTS.md | 21 - samples/deepagent-storage-buckets/CLAUDE.md | 1 - .../deepagent-storage-buckets/bindings.json | 4 - .../entry-points.json | 2334 ----------- .../deepagent-storage-buckets/pyproject.toml | 6 +- samples/deepagent-storage-buckets/uv.lock | 3177 --------------- .../.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 549 --- .../email-organizer-agent/.vscode/launch.json | 16 - samples/email-organizer-agent/AGENTS.md | 21 - samples/email-organizer-agent/CLAUDE.md | 1 - samples/email-organizer-agent/bindings.json | 4 - .../email-organizer-agent/entry-points.json | 157 - samples/email-organizer-agent/pyproject.toml | 6 +- samples/email-organizer-agent/uv.lock | 3270 --------------- .../hitl-inbox-server/.agent/CLI_REFERENCE.md | 565 --- .../.agent/REQUIRED_STRUCTURE.md | 64 - 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+- .../uv.lock | 3315 ---------------- .../.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 549 --- samples/oauth-external-apps-agent/AGENTS.md | 21 - samples/oauth-external-apps-agent/CLAUDE.md | 1 - .../oauth-external-apps-agent/bindings.json | 4 - .../entry-points.json | 82 - .../oauth-external-apps-agent/pyproject.toml | 6 +- samples/oauth-external-apps-agent/uv.lock | 3064 --------------- .../retrieval-chain/.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 64 - .../retrieval-chain/.agent/SDK_REFERENCE.md | 549 --- samples/retrieval-chain/AGENTS.md | 21 - samples/retrieval-chain/CLAUDE.md | 1 - samples/retrieval-chain/bindings.json | 4 - samples/retrieval-chain/entry-points.json | 5 - samples/retrieval-chain/pyproject.toml | 6 +- samples/retrieval-chain/uv.lock | 2630 ------------- .../simple-deepagent/.agent/CLI_REFERENCE.md | 618 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../simple-deepagent/.agent/SDK_REFERENCE.md | 686 ---- samples/simple-deepagent/AGENTS.md | 21 - samples/simple-deepagent/CLAUDE.md | 1 - samples/simple-deepagent/bindings.json | 4 - samples/simple-deepagent/entry-points.json | 2334 ----------- samples/simple-deepagent/pyproject.toml | 6 +- samples/simple-deepagent/uv.lock | 3177 --------------- .../simple-local-mcp/.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../simple-local-mcp/.agent/SDK_REFERENCE.md | 549 --- samples/simple-local-mcp/AGENTS.md | 21 - samples/simple-local-mcp/CLAUDE.md | 1 - samples/simple-local-mcp/bindings.json | 4 - samples/simple-local-mcp/entry-points.json | 2192 ----------- samples/simple-local-mcp/pyproject.toml | 6 +- samples/simple-local-mcp/uv.lock | 3001 -------------- .../simple-remote-mcp/.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../simple-remote-mcp/.agent/SDK_REFERENCE.md | 549 --- samples/simple-remote-mcp/AGENTS.md | 21 - samples/simple-remote-mcp/CLAUDE.md | 1 - samples/simple-remote-mcp/bindings.json | 4 - samples/simple-remote-mcp/entry-points.json | 2172 ---------- samples/simple-remote-mcp/pyproject.toml | 6 +- samples/simple-remote-mcp/uv.lock | 3006 -------------- .../.agent/CLI_REFERENCE.md | 560 --- .../.agent/REQUIRED_STRUCTURE.md | 92 - .../.agent/SDK_REFERENCE.md | 549 --- samples/ticket-classification/AGENTS.md | 21 - samples/ticket-classification/CLAUDE.md | 1 - samples/ticket-classification/bindings.json | 4 - .../ticket-classification/entry-points.json | 115 - samples/ticket-classification/pyproject.toml | 6 +- samples/ticket-classification/uv.lock | 3139 --------------- .../entry-points.json | 224 -- .../pyproject.toml | 6 +- samples/tool-calling-suspend-resume/uv.lock | 2972 -------------- 189 files changed, 118 insertions(+), 113080 deletions(-) delete mode 100644 samples/RAG-quiz-generator/.agent/CLI_REFERENCE.md delete mode 100644 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+samples/**/.claude/ +samples/**/.agent/ +samples/**/.vscode/ +samples/**/entry-points.json +samples/**/uv.lock diff --git a/samples/RAG-quiz-generator/.agent/CLI_REFERENCE.md b/samples/RAG-quiz-generator/.agent/CLI_REFERENCE.md deleted file mode 100644 index e6d38342b..000000000 --- a/samples/RAG-quiz-generator/.agent/CLI_REFERENCE.md +++ /dev/null @@ -1,560 +0,0 @@ -## CLI Commands Reference - -The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/RAG-quiz-generator/.agent/REQUIRED_STRUCTURE.md b/samples/RAG-quiz-generator/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/RAG-quiz-generator/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/RAG-quiz-generator/.agent/SDK_REFERENCE.md b/samples/RAG-quiz-generator/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/RAG-quiz-generator/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/RAG-quiz-generator/AGENTS.md b/samples/RAG-quiz-generator/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/RAG-quiz-generator/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/RAG-quiz-generator/CLAUDE.md b/samples/RAG-quiz-generator/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/RAG-quiz-generator/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/RAG-quiz-generator/bindings.json b/samples/RAG-quiz-generator/bindings.json index 83deffb54..cd886b4dc 100644 --- a/samples/RAG-quiz-generator/bindings.json +++ b/samples/RAG-quiz-generator/bindings.json @@ -1,26 +1,26 @@ { - "version": "2.0", - "resources": [ - { - "resource": "index", - "key": "state.index_name.state.index_folder_path", - "value": { - "name": { - "defaultValue": "state.index_name", - "isExpression": true, - "displayName": "Name" - }, - "folderPath": { - "defaultValue": "state.index_folder_path", - "isExpression": true, - "displayName": "Folder Path" - } - }, - "metadata": { - "ActivityName": "add_to_index_async", - "BindingsVersion": "2.2", - "DisplayLabel": "FullName" - } + "version": "2.0", + "resources": [ + { + "resource": "index", + "key": "state.index_name.state.index_folder_path", + "value": { + "name": { + "defaultValue": "state.index_name", + "isExpression": true, + "displayName": "Name" + }, + "folderPath": { + "defaultValue": "state.index_folder_path", + "isExpression": true, + "displayName": "Folder Path" } - ] + }, + "metadata": { + "ActivityName": "add_to_index_async", + "BindingsVersion": "2.2", + "DisplayLabel": "FullName" + } + } + ] } \ No newline at end of file diff --git a/samples/RAG-quiz-generator/entry-points.json b/samples/RAG-quiz-generator/entry-points.json deleted file mode 100644 index 7f8de8df5..000000000 --- a/samples/RAG-quiz-generator/entry-points.json +++ /dev/null @@ -1,1310 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "researcher-RAG-agent", - "uniqueId": "2d2d22c7-5be0-458a-8e3b-825d587a7456", - "type": "agent", - "input": { - "type": "object", - "properties": { - "search_instructions": { - "title": "Search Instructions", - "type": "string" - }, - "index_name": { - "title": "Index Name", - "type": "string" - }, - "index_folder_path": { - "title": "Index Folder Path", - "type": "string" - } - }, - "required": [ - "search_instructions", - "index_name", - "index_folder_path" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "default": null, - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "research", - "name": "research", - "type": "Node", - "subgraph": null - }, - { - "id": "add_data_to_context_grounding_index", - "name": "add_data_to_context_grounding_index", - "type": "Node", - "subgraph": null - }, - { - "id": "prepare_input", - "name": "prepare_input", - "type": "Node", - "subgraph": null - }, - { - "id": "create_file_name", - "name": "create_file_name", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "prepare_input", - "label": null - }, - { - "source": "create_file_name", - "target": "research", - "label": null - }, - { - "source": "prepare_input", - "target": "create_file_name", - "label": null - }, - { - "source": "research", - "target": "add_data_to_context_grounding_index", - "label": null - }, - { - "source": "add_data_to_context_grounding_index", - "target": "__end__", - "label": null - } - ] - } - }, - { - "filePath": "quiz-generator-RAG-agent", - "uniqueId": "d7986c81-c3f5-4d9b-a195-3f3f0ed5d1c3", - "type": "agent", - "input": { - "type": "object", - "properties": { - "quiz_topic": { - "title": "Quiz Topic", - "type": "string" - }, - "index_name": { - "title": "Index Name", - "type": "string" - }, - "index_folder_path": { - "title": "Index Folder Path", - "type": "string" - } - }, - "required": [ - "quiz_topic", - "index_name", - "index_folder_path" - ] - }, - "output": { - "type": "object", - "properties": { - "quiz": { - "properties": { - "quiz_items": { - "description": "A list of quiz items", - "items": { - "properties": { - "question": { - "description": "One quiz question", - "title": "Question", - "type": "string" - }, - "difficulty": { - "description": "How difficult is the question", - "maximum": 1.0, - "minimum": 0.0, - "title": "Difficulty", - "type": "number" - }, - "answer": { - "description": "The expected answer to the question", - "title": "Answer", - "type": "string" - } - }, - "required": [ - "question", - "difficulty", - "answer" - ], - "title": "QuizItem", - "type": "object" - }, - "title": "Quiz Items", - "type": "array" - } - }, - "required": [ - "quiz_items" - ], - "title": "Quiz", - "type": "object" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "invoke_researcher", - "name": "invoke_researcher", - "type": "Node", - "subgraph": null - }, - { - "id": "create_quiz", - "name": "create_quiz", - "type": "Node", - "subgraph": null - }, - { - "id": "return_quiz", - "name": "return_quiz", - "type": "Node", - "subgraph": null - }, - { - "id": "prepare_input", - "name": "prepare_input", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "prepare_input", - "label": null - }, - { - "source": "create_quiz", - "target": "invoke_researcher", - "label": null - }, - { - "source": "create_quiz", - "target": "return_quiz", - "label": null - }, - { - "source": "invoke_researcher", - "target": "create_quiz", - "label": null - }, - { - "source": "prepare_input", - "target": "create_quiz", - "label": null - }, - { - "source": "return_quiz", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/RAG-quiz-generator/pyproject.toml b/samples/RAG-quiz-generator/pyproject.toml index 8fc657571..0f1abaeb5 100644 --- a/samples/RAG-quiz-generator/pyproject.toml +++ b/samples/RAG-quiz-generator/pyproject.toml @@ -9,12 +9,12 @@ dependencies = [ "langchain-anthropic>=1.2.0", "langchain-experimental>=0.4.0", "langchain-tavily>=0.2.13", - "uipath-langchain>=0.2.0, <0.3.0", - "uipath>=2.3.0, <2.4.0", + "uipath-langchain", + "uipath", ] requires-python = ">=3.11" [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/RAG-quiz-generator/uipath.json b/samples/RAG-quiz-generator/uipath.json deleted file mode 100644 index 9e26dfeeb..000000000 --- a/samples/RAG-quiz-generator/uipath.json +++ /dev/null @@ -1 +0,0 @@ -{} \ No newline at end of file diff --git a/samples/RAG-quiz-generator/uv.lock b/samples/RAG-quiz-generator/uv.lock deleted file mode 100644 index 69846899e..000000000 --- a/samples/RAG-quiz-generator/uv.lock +++ /dev/null @@ -1,3301 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - diff --git a/samples/bring-your-own-model/.agent/REQUIRED_STRUCTURE.md b/samples/bring-your-own-model/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/bring-your-own-model/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/bring-your-own-model/.agent/SDK_REFERENCE.md b/samples/bring-your-own-model/.agent/SDK_REFERENCE.md deleted file mode 100644 index 637a26db1..000000000 --- a/samples/bring-your-own-model/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,668 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/bring-your-own-model/AGENTS.md b/samples/bring-your-own-model/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/bring-your-own-model/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/bring-your-own-model/CLAUDE.md b/samples/bring-your-own-model/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/bring-your-own-model/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/bring-your-own-model/bindings.json b/samples/bring-your-own-model/bindings.json index fd2795ccc..20ff97d31 100644 --- a/samples/bring-your-own-model/bindings.json +++ b/samples/bring-your-own-model/bindings.json @@ -19,4 +19,4 @@ } } ] -} +} \ No newline at end of file diff --git a/samples/bring-your-own-model/entry-points.json b/samples/bring-your-own-model/entry-points.json deleted file mode 100644 index 19065870b..000000000 --- a/samples/bring-your-own-model/entry-points.json +++ /dev/null @@ -1,72 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "6405008a-ced9-4775-bc0d-e69500034020", - "type": "agent", - "input": { - "type": "object", - "properties": { - "topic": { - "title": "Topic", - "type": "string" - } - }, - "required": [ - "topic" - ] - }, - "output": { - "type": "object", - "properties": { - "report": { - "title": "Report", - "type": "string" - } - }, - "required": [ - "report" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "generate_report", - "name": "generate_report", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "generate_report", - "label": null - }, - { - "source": "generate_report", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/bring-your-own-model/pyproject.toml b/samples/bring-your-own-model/pyproject.toml index ddedecbee..57a3fec19 100644 --- a/samples/bring-your-own-model/pyproject.toml +++ b/samples/bring-your-own-model/pyproject.toml @@ -4,6 +4,12 @@ version = "0.0.1" description = "bring-your-own-model" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] dependencies = [ - "uipath-langchain>=0.4.24", + "uipath", + "uipath-langchain", ] requires-python = ">=3.11" + +[dependency-groups] +dev = [ + "uipath-dev", +] diff --git a/samples/bring-your-own-model/uv.lock b/samples/bring-your-own-model/uv.lock deleted file mode 100644 index de566d550..000000000 --- a/samples/bring-your-own-model/uv.lock +++ /dev/null @@ -1,2873 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" - -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } -wheels = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/calculator-agent/.agent/REQUIRED_STRUCTURE.md b/samples/calculator-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/calculator-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/calculator-agent/.agent/SDK_REFERENCE.md b/samples/calculator-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/calculator-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/calculator-agent/AGENTS.md b/samples/calculator-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/calculator-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/calculator-agent/CLAUDE.md b/samples/calculator-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/calculator-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/calculator-agent/bindings.json b/samples/calculator-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/calculator-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/calculator-agent/entry-points.json b/samples/calculator-agent/entry-points.json deleted file mode 100644 index 458ca93d9..000000000 --- a/samples/calculator-agent/entry-points.json +++ /dev/null @@ -1,84 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "bf66f611-5167-47e3-a33f-c057a2d0dece", - "type": "agent", - "input": { - "type": "object", - "properties": { - "a": { - "title": "A", - "type": "number" - }, - "b": { - "title": "B", - "type": "number" - }, - "operator": { - "enum": [ - "+", - "-", - "*", - "/" - ], - "title": "Operator", - "type": "string" - } - }, - "required": [ - "a", - "b", - "operator" - ] - }, - "output": { - "type": "object", - "properties": { - "result": { - "default": null, - "title": "Result", - "type": "number" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "calculate", - "name": "calculate", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "calculate", - "label": null - }, - { - "source": "calculate", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/calculator-agent/pyproject.toml b/samples/calculator-agent/pyproject.toml index 1fe128b65..1e415f10b 100644 --- a/samples/calculator-agent/pyproject.toml +++ b/samples/calculator-agent/pyproject.toml @@ -5,11 +5,11 @@ description = "Calculator Agent" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] requires-python = ">=3.11" dependencies = [ - "uipath-langchain>=0.2.0, <0.3.0", - "uipath>=2.3.0, <2.4.0", + "uipath", + "uipath-langchain", ] [dependency-groups] dev = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/chat-agent/.agent/REQUIRED_STRUCTURE.md b/samples/chat-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/chat-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/chat-agent/.agent/SDK_REFERENCE.md b/samples/chat-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 637a26db1..000000000 --- a/samples/chat-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,668 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/chat-agent/AGENTS.md b/samples/chat-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/chat-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/chat-agent/CLAUDE.md b/samples/chat-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/chat-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/chat-agent/bindings.json b/samples/chat-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/chat-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/chat-agent/entry-points.json b/samples/chat-agent/entry-points.json deleted file mode 100644 index 2285b81cc..000000000 --- a/samples/chat-agent/entry-points.json +++ /dev/null @@ -1,2204 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "334c2a56-6db0-44d1-8f38-565b16b30a56", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "title": "Structured Response" - } - }, - "required": [ - "messages" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "tavily_search" - ], - "tool_count": 1 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/chat-agent/pyproject.toml b/samples/chat-agent/pyproject.toml index ee621f7a4..820e6e26f 100644 --- a/samples/chat-agent/pyproject.toml +++ b/samples/chat-agent/pyproject.toml @@ -9,12 +9,12 @@ dependencies = [ "langchain-anthropic>=1.2.0", "tavily-python>=0.7.13", "langchain-tavily>=0.2.13", - "uipath-langchain>=0.4.15, <0.5.0", - "uipath>=2.5.20, <2.6.0", + "uipath-langchain", + "uipath", ] [dependency-groups] dev = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/chat-hitl-agent/.agent/REQUIRED_STRUCTURE.md b/samples/chat-hitl-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/chat-hitl-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/chat-hitl-agent/.agent/SDK_REFERENCE.md b/samples/chat-hitl-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 637a26db1..000000000 --- a/samples/chat-hitl-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,668 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/chat-hitl-agent/AGENTS.md b/samples/chat-hitl-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/chat-hitl-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/chat-hitl-agent/CLAUDE.md b/samples/chat-hitl-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/chat-hitl-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/chat-hitl-agent/bindings.json b/samples/chat-hitl-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/chat-hitl-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/chat-hitl-agent/entry-points.json b/samples/chat-hitl-agent/entry-points.json deleted file mode 100644 index 5b0503467..000000000 --- a/samples/chat-hitl-agent/entry-points.json +++ /dev/null @@ -1,2221 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "275f770c-a0bc-4dd7-b2f4-3841762d6e90", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "title": "Structured Response" - } - }, - "required": [ - "messages" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "tavily_search" - ], - "tool_count": 1 - } - }, - { - "id": "HumanInTheLoopMiddleware.after_model", - "name": "HumanInTheLoopMiddleware.after_model", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "HumanInTheLoopMiddleware.after_model", - "target": "__end__", - "label": null - }, - { - "source": "HumanInTheLoopMiddleware.after_model", - "target": "model", - "label": null - }, - { - "source": "HumanInTheLoopMiddleware.after_model", - "target": "tools", - "label": null - }, - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "HumanInTheLoopMiddleware.after_model", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/chat-hitl-agent/pyproject.toml b/samples/chat-hitl-agent/pyproject.toml index 74874d037..f4da9b26f 100644 --- a/samples/chat-hitl-agent/pyproject.toml +++ b/samples/chat-hitl-agent/pyproject.toml @@ -9,10 +9,11 @@ dependencies = [ "langchain-anthropic>=1.2.0", "tavily-python>=0.7.13", "langchain-tavily>=0.2.13", - "uipath-langchain>=0.5.61, <0.6.0" + "uipath", + "uipath-langchain" ] [dependency-groups] dev = [ - "uipath-dev>=0.0.19", + "uipath-dev", ] diff --git a/samples/chat-hitl-agent/uv.lock b/samples/chat-hitl-agent/uv.lock deleted file mode 100644 index bbfe5ec56..000000000 --- a/samples/chat-hitl-agent/uv.lock +++ /dev/null @@ -1,3042 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", -] - -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } -wheels = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/chat-uipath-agent/.agent/REQUIRED_STRUCTURE.md b/samples/chat-uipath-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/chat-uipath-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/chat-uipath-agent/.agent/SDK_REFERENCE.md b/samples/chat-uipath-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 637a26db1..000000000 --- a/samples/chat-uipath-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,668 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/chat-uipath-agent/AGENTS.md b/samples/chat-uipath-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/chat-uipath-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/chat-uipath-agent/CLAUDE.md b/samples/chat-uipath-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/chat-uipath-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/chat-uipath-agent/bindings.json b/samples/chat-uipath-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/chat-uipath-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/chat-uipath-agent/entry-points.json b/samples/chat-uipath-agent/entry-points.json deleted file mode 100644 index a4b5eafd3..000000000 --- a/samples/chat-uipath-agent/entry-points.json +++ /dev/null @@ -1,2203 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "52ffde91-f018-458d-b5a8-78d62a513df1", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "title": "Structured Response" - } - }, - "required": [ - "messages" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "gpt-4o-mini-2024-07-18" - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "duckduckgo_results_json" - ], - "tool_count": 1 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/chat-uipath-agent/pyproject.toml b/samples/chat-uipath-agent/pyproject.toml index da0a15a47..b673c89ac 100644 --- a/samples/chat-uipath-agent/pyproject.toml +++ b/samples/chat-uipath-agent/pyproject.toml @@ -8,12 +8,12 @@ dependencies = [ "langgraph>=1.0.4", "langchain-community>=0.3.21", "ddgs>=9.6.1", - "uipath-langchain>=0.4.15, <0.5.0", - "uipath>=2.5.20, <2.6.0", + "uipath-langchain", + "uipath", ] [dependency-groups] dev = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/company-research-agent/.agent/REQUIRED_STRUCTURE.md b/samples/company-research-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/company-research-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/company-research-agent/.agent/SDK_REFERENCE.md b/samples/company-research-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/company-research-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/company-research-agent/AGENTS.md b/samples/company-research-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/company-research-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/company-research-agent/CLAUDE.md b/samples/company-research-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/company-research-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/company-research-agent/bindings.json b/samples/company-research-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/company-research-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/company-research-agent/entry-points.json b/samples/company-research-agent/entry-points.json deleted file mode 100644 index c2e32912b..000000000 --- a/samples/company-research-agent/entry-points.json +++ /dev/null @@ -1,106 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "4458ea1e-0046-43b5-9e36-cd2936163513", - "type": "agent", - "input": { - "type": "object", - "properties": { - "company_name": { - "title": "Company Name", - "type": "string" - } - }, - "required": [ - "company_name" - ] - }, - "output": { - "type": "object", - "properties": { - "response": { - "default": null, - "title": "Response", - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - }, - { - "id": "researcher:__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "researcher:model", - "name": "model", - "type": "Node", - "subgraph": null - }, - { - "id": "researcher:tools", - "name": "tools", - "type": "Node", - "subgraph": null - }, - { - "id": "researcher:__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "researcher:__start__", - "label": null - }, - { - "source": "researcher:__end__", - "target": "__end__", - "label": null - }, - { - "source": "researcher:__start__", - "target": "researcher:model", - "label": null - }, - { - "source": "researcher:model", - "target": "researcher:__end__", - "label": null - }, - { - "source": "researcher:model", - "target": "researcher:tools", - "label": null - }, - { - "source": "researcher:tools", - "target": "researcher:model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/company-research-agent/pyproject.toml b/samples/company-research-agent/pyproject.toml index 8fa002ded..32ea790f7 100644 --- a/samples/company-research-agent/pyproject.toml +++ b/samples/company-research-agent/pyproject.toml @@ -9,11 +9,11 @@ dependencies = [ "langchain-anthropic>=1.2.0", "tavily-python>=0.7.13", "langchain-tavily>=0.2.13", - "uipath-langchain>=0.2.0, <0.3.0", - "uipath>=2.3.0, <2.4.0", + "uipath-langchain", + "uipath", ] [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/company-research-agent/uv.lock b/samples/company-research-agent/uv.lock deleted file mode 100644 index 1f743ae90..000000000 --- a/samples/company-research-agent/uv.lock +++ /dev/null @@ -1,3032 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", -] - -[[package]] -name = "aiohappyeyeballs" -version = "2.6.1" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } -wheels = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/debug-agent/.agent/REQUIRED_STRUCTURE.md b/samples/debug-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/debug-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/debug-agent/.agent/SDK_REFERENCE.md b/samples/debug-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 637a26db1..000000000 --- a/samples/debug-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,668 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/debug-agent/AGENTS.md b/samples/debug-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/debug-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/debug-agent/CLAUDE.md b/samples/debug-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/debug-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/debug-agent/bindings.json b/samples/debug-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/debug-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/debug-agent/entry-points.json b/samples/debug-agent/entry-points.json deleted file mode 100644 index d1a77b0fa..000000000 --- a/samples/debug-agent/entry-points.json +++ /dev/null @@ -1,237 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "ceb1905f-e941-4552-9501-795ab94e26c9", - "type": "agent", - "input": { - "type": "object", - "properties": { - "ticket_id": { - "title": "Ticket Id", - "type": "string" - }, - "customer_message": { - "title": "Customer Message", - "type": "string" - }, - "customer_tier": { - "default": "standard", - "title": "Customer Tier", - "type": "string" - } - }, - "required": [ - "ticket_id", - "customer_message" - ] - }, - "output": { - "type": "object", - "properties": { - "ticket_id": { - "title": "Ticket Id", - "type": "string" - }, - "category": { - "enum": [ - "technical", - "billing", - "general", - "complaint" - ], - "title": "TicketCategory", - "type": "string" - }, - "priority": { - "enum": [ - "low", - "medium", - "high", - "critical" - ], - "title": "TicketPriority", - "type": "string" - }, - "assigned_department": { - "title": "Assigned Department", - "type": "string" - }, - "requires_escalation": { - "title": "Requires Escalation", - "type": "boolean" - }, - "estimated_resolution_time": { - "title": "Estimated Resolution Time", - "type": "integer" - }, - "response_template": { - "title": "Response Template", - "type": "string" - } - }, - "required": [ - "ticket_id", - "category", - "priority", - "assigned_department", - "requires_escalation", - "estimated_resolution_time", - "response_template" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "analyze_sentiment", - "name": "analyze_sentiment", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "classify_category", - "name": "classify_category", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "check_urgency", - "name": "check_urgency", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "determine_priority", - "name": "determine_priority", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "check_escalation", - "name": "check_escalation", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "route_to_department", - "name": "route_to_department", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "escalate_to_manager", - "name": "escalate_to_manager", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "assign_standard_queue", - "name": "assign_standard_queue", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "generate_response", - "name": "generate_response", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "finalize_ticket", - "name": "finalize_ticket", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "analyze_sentiment", - "label": null - }, - { - "source": "analyze_sentiment", - "target": "classify_category", - "label": null - }, - { - "source": "assign_standard_queue", - "target": "generate_response", - "label": null - }, - { - "source": "check_escalation", - "target": "route_to_department", - "label": null - }, - { - "source": "check_urgency", - "target": "determine_priority", - "label": null - }, - { - "source": "classify_category", - "target": "check_urgency", - "label": null - }, - { - "source": "determine_priority", - "target": "check_escalation", - "label": null - }, - { - "source": "escalate_to_manager", - "target": "generate_response", - "label": null - }, - { - "source": "generate_response", - "target": "finalize_ticket", - "label": null - }, - { - "source": "route_to_department", - "target": "assign_standard_queue", - "label": null - }, - { - "source": "route_to_department", - "target": "escalate_to_manager", - "label": null - }, - { - "source": "finalize_ticket", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/debug-agent/pyproject.toml b/samples/debug-agent/pyproject.toml index 342ed60ee..412a90a87 100644 --- a/samples/debug-agent/pyproject.toml +++ b/samples/debug-agent/pyproject.toml @@ -5,12 +5,12 @@ description = "Debug Agent" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] requires-python = ">=3.11" dependencies = [ - "uipath-langchain>=0.4.15, <0.5.0", - "uipath>=2.5.20, <2.6.0", + "uipath-langchain", + "uipath", ] [dependency-groups] dev = [ - "uipath-dev>=0.0.19", + "uipath-dev", ] diff --git a/samples/debug-agent/uv.lock b/samples/debug-agent/uv.lock deleted file mode 100644 index 6db6ef7ac..000000000 --- a/samples/debug-agent/uv.lock +++ /dev/null @@ -1,2972 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/debug-parallel-interrupts-agents/.agent/REQUIRED_STRUCTURE.md b/samples/debug-parallel-interrupts-agents/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/debug-parallel-interrupts-agents/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/debug-parallel-interrupts-agents/.agent/SDK_REFERENCE.md b/samples/debug-parallel-interrupts-agents/.agent/SDK_REFERENCE.md deleted file mode 100644 index 558f7d8b2..000000000 --- a/samples/debug-parallel-interrupts-agents/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,643 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/debug-parallel-interrupts-agents/AGENTS.md b/samples/debug-parallel-interrupts-agents/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/debug-parallel-interrupts-agents/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/debug-parallel-interrupts-agents/CLAUDE.md b/samples/debug-parallel-interrupts-agents/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/debug-parallel-interrupts-agents/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/debug-parallel-interrupts-agents/bindings.json b/samples/debug-parallel-interrupts-agents/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/debug-parallel-interrupts-agents/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/debug-parallel-interrupts-agents/entry-points.json b/samples/debug-parallel-interrupts-agents/entry-points.json deleted file mode 100644 index 639cfefbd..000000000 --- a/samples/debug-parallel-interrupts-agents/entry-points.json +++ /dev/null @@ -1,125 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "cb08200e-af49-438d-830c-8b6fcacecc76", - "type": "agent", - "input": { - "type": "object", - "properties": { - "branch_a_first_result": { - "type": "string" - }, - "branch_a_second_result": { - "type": "string" - }, - "branch_b_first_result": { - "type": "string" - }, - "branch_b_second_result": { - "type": "string" - } - }, - "required": [] - }, - "output": { - "type": "object", - "properties": { - "branch_a_first_result": { - "type": "string" - }, - "branch_a_second_result": { - "type": "string" - }, - "branch_b_first_result": { - "type": "string" - }, - "branch_b_second_result": { - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "branch_a_first", - "name": "branch_a_first", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "branch_a_second", - "name": "branch_a_second", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "branch_b_first", - "name": "branch_b_first", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "branch_b_second", - "name": "branch_b_second", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "branch_a_first", - "label": null - }, - { - "source": "__start__", - "target": "branch_b_first", - "label": null - }, - { - "source": "branch_a_first", - "target": "branch_a_second", - "label": null - }, - { - "source": "branch_b_first", - "target": "branch_b_second", - "label": null - }, - { - "source": "branch_a_second", - "target": "__end__", - "label": null - }, - { - "source": "branch_b_second", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/debug-parallel-interrupts-agents/pyproject.toml b/samples/debug-parallel-interrupts-agents/pyproject.toml index e68297220..6bcf5e8b9 100644 --- a/samples/debug-parallel-interrupts-agents/pyproject.toml +++ b/samples/debug-parallel-interrupts-agents/pyproject.toml @@ -5,12 +5,12 @@ description = "Debug Agent" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] requires-python = ">=3.11" dependencies = [ - "uipath-langchain>=0.2.0, <0.3.0", - "uipath>=2.3.0, <2.4.0", + "uipath-langchain", + "uipath", ] [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/debug-parallel-interrupts-agents/uv.lock b/samples/debug-parallel-interrupts-agents/uv.lock deleted file mode 100644 index 4806401cb..000000000 --- a/samples/debug-parallel-interrupts-agents/uv.lock +++ /dev/null @@ -1,2949 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/deepagent-storage-buckets/.agent/REQUIRED_STRUCTURE.md b/samples/deepagent-storage-buckets/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/deepagent-storage-buckets/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/deepagent-storage-buckets/.agent/SDK_REFERENCE.md b/samples/deepagent-storage-buckets/.agent/SDK_REFERENCE.md deleted file mode 100644 index 45e12636a..000000000 --- a/samples/deepagent-storage-buckets/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,686 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index_async(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/deepagent-storage-buckets/AGENTS.md b/samples/deepagent-storage-buckets/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/deepagent-storage-buckets/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/deepagent-storage-buckets/CLAUDE.md b/samples/deepagent-storage-buckets/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/deepagent-storage-buckets/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/deepagent-storage-buckets/bindings.json b/samples/deepagent-storage-buckets/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/deepagent-storage-buckets/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/deepagent-storage-buckets/entry-points.json b/samples/deepagent-storage-buckets/entry-points.json deleted file mode 100644 index 08d2c2a01..000000000 --- a/samples/deepagent-storage-buckets/entry-points.json +++ /dev/null @@ -1,2334 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "a73409e9-1978-4873-bf9f-457c1b1b201d", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk` objects (e.g., via `AIMessageChunk.__add__`), all\nstring attributes are concatenated. Chunks are only merged if their values of\n`index` are equal and not `None`.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "files": { - "additionalProperties": { - "description": "Data structure for storing file contents with metadata.", - "properties": { - "content": { - "items": { - "type": "string" - }, - "title": "Content", - "type": "array" - }, - "created_at": { - "title": "Created At", - "type": "string" - }, - "modified_at": { - "title": "Modified At", - "type": "string" - } - }, - "required": [ - "content", - "created_at", - "modified_at" - ], - "title": "FileData", - "type": "object" - }, - "title": "Files", - "type": "object" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk` objects (e.g., via `AIMessageChunk.__add__`), all\nstring attributes are concatenated. Chunks are only merged if their values of\n`index` are equal and not `None`.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "title": "Structured Response" - }, - "todos": { - "items": { - "description": "A single todo item with content and status.", - "properties": { - "content": { - "title": "Content", - "type": "string" - }, - "status": { - "enum": [ - "pending", - "in_progress", - "completed" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "status" - ], - "title": "Todo", - "type": "object" - }, - "title": "Todos", - "type": "array" - }, - "files": { - "additionalProperties": { - "description": "Data structure for storing file contents with metadata.", - "properties": { - "content": { - "items": { - "type": "string" - }, - "title": "Content", - "type": "array" - }, - "created_at": { - "title": "Created At", - "type": "string" - }, - "modified_at": { - "title": "Modified At", - "type": "string" - } - }, - "required": [ - "content", - "created_at", - "modified_at" - ], - "title": "FileData", - "type": "object" - }, - "title": "Files", - "type": "object" - } - }, - "required": [ - "messages" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-haiku-4-5", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "write_todos", - "ls", - "read_file", - "write_file", - "edit_file", - "glob", - "grep", - "execute", - "task", - "tavily_search" - ], - "tool_count": 10 - } - }, - { - "id": "TodoListMiddleware.after_model", - "name": "TodoListMiddleware.after_model", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "SummarizationMiddleware.before_model", - "name": "SummarizationMiddleware.before_model", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "PatchToolCallsMiddleware.before_agent", - "name": "PatchToolCallsMiddleware.before_agent", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "PatchToolCallsMiddleware.before_agent", - "target": "SummarizationMiddleware.before_model", - "label": null - }, - { - "source": "SummarizationMiddleware.before_model", - "target": "model", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "SummarizationMiddleware.before_model", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "__end__", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "tools", - "label": null - }, - { - "source": "__start__", - "target": "PatchToolCallsMiddleware.before_agent", - "label": null - }, - { - "source": "model", - "target": "TodoListMiddleware.after_model", - "label": null - }, - { - "source": "tools", - "target": "SummarizationMiddleware.before_model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/deepagent-storage-buckets/pyproject.toml b/samples/deepagent-storage-buckets/pyproject.toml index 8176c536c..3e44e43de 100644 --- a/samples/deepagent-storage-buckets/pyproject.toml +++ b/samples/deepagent-storage-buckets/pyproject.toml @@ -10,11 +10,11 @@ dependencies = [ "langchain-tavily>=0.2.17", "langgraph>=1.0.7", "tavily-python>=0.7.21", - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/email-organizer-agent/.agent/REQUIRED_STRUCTURE.md b/samples/email-organizer-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/email-organizer-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/email-organizer-agent/.agent/SDK_REFERENCE.md b/samples/email-organizer-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/email-organizer-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/email-organizer-agent/.vscode/launch.json b/samples/email-organizer-agent/.vscode/launch.json deleted file mode 100644 index e0fca4e45..000000000 --- a/samples/email-organizer-agent/.vscode/launch.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - // Use IntelliSense to learn about possible attributes. - // Hover to view descriptions of existing attributes. - // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 - "version": "0.2.0", - "configurations": [ - { - "name": "Python Debugger: Current File", - "type": "debugpy", - "request": "launch", - "program": "./src/email-organizer/main.py", - "console": "integratedTerminal", - "cwd": "${workspaceFolder}" - } - ] -} \ No newline at end of file diff --git a/samples/email-organizer-agent/AGENTS.md b/samples/email-organizer-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/email-organizer-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/email-organizer-agent/CLAUDE.md b/samples/email-organizer-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/email-organizer-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/email-organizer-agent/bindings.json b/samples/email-organizer-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/email-organizer-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/email-organizer-agent/entry-points.json b/samples/email-organizer-agent/entry-points.json deleted file mode 100644 index f09c55b43..000000000 --- a/samples/email-organizer-agent/entry-points.json +++ /dev/null @@ -1,157 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "ca53044a-4eb3-415e-bbcd-945ecaadb7c8", - "type": "agent", - "input": { - "type": "object", - "properties": { - "max_emails": { - "title": "Max Emails", - "type": "integer" - }, - "max_rules": { - "title": "Max Rules", - "type": "integer" - }, - "assignee": { - "type": "string" - } - }, - "required": [ - "max_emails", - "max_rules" - ] - }, - "output": { - "type": "object", - "properties": { - "success": { - "default": null, - "title": "Success", - "type": "boolean" - }, - "rules_created": { - "default": null, - "title": "Rules Created", - "type": "integer" - }, - "message": { - "default": null, - "title": "Message", - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "get_token", - "name": "get_token", - "type": "Node", - "subgraph": null - }, - { - "id": "fetch_emails", - "name": "fetch_emails", - "type": "Node", - "subgraph": null - }, - { - "id": "fetch_folders", - "name": "fetch_folders", - "type": "Node", - "subgraph": null - }, - { - "id": "fetch_rules", - "name": "fetch_rules", - "type": "Node", - "subgraph": null - }, - { - "id": "llm_analysis", - "name": "llm_analysis", - "type": "Node", - "subgraph": null - }, - { - "id": "wait_for_approval", - "name": "wait_for_approval", - "type": "Node", - "subgraph": null - }, - { - "id": "create_rules", - "name": "create_rules", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "get_token", - "label": null - }, - { - "source": "fetch_emails", - "target": "fetch_folders", - "label": null - }, - { - "source": "fetch_folders", - "target": "fetch_rules", - "label": null - }, - { - "source": "fetch_rules", - "target": "llm_analysis", - "label": null - }, - { - "source": "get_token", - "target": "fetch_emails", - "label": null - }, - { - "source": "llm_analysis", - "target": "wait_for_approval", - "label": null - }, - { - "source": "wait_for_approval", - "target": "__end__", - "label": "END" - }, - { - "source": "wait_for_approval", - "target": "create_rules", - "label": null - }, - { - "source": "create_rules", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/email-organizer-agent/pyproject.toml b/samples/email-organizer-agent/pyproject.toml index c35343542..80f5968e9 100644 --- a/samples/email-organizer-agent/pyproject.toml +++ b/samples/email-organizer-agent/pyproject.toml @@ -8,11 +8,11 @@ dependencies = [ "langgraph>=1.0.4", "langchain-anthropic>=1.2.0", "langchain-community>=0.4.1", - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Create uipath.json with input/output schemas and bindings. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--infer-bindings` | flag | false | Infer bindings from the script. | -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/hitl-inbox-server/.agent/REQUIRED_STRUCTURE.md b/samples/hitl-inbox-server/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51bf..000000000 --- a/samples/hitl-inbox-server/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/samples/hitl-inbox-server/.agent/SDK_REFERENCE.md b/samples/hitl-inbox-server/.agent/SDK_REFERENCE.md deleted file mode 100644 index 8f01ae07b..000000000 --- a/samples/hitl-inbox-server/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,480 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Actions - -Actions service - -```python -# Creates a new action synchronously. -sdk.actions.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, app_version: Optional[int]=1, assignee: Optional[str]=None) -> uipath.models.actions.Action - -# Creates a new action asynchronously. -sdk.actions.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, app_version: Optional[int]=1, assignee: Optional[str]=None) -> uipath.models.actions.Action - -# Retrieves an action by its key synchronously. -sdk.actions.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.models.actions.Action - -# Retrieves an action by its key asynchronously. -sdk.actions.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.models.actions.Action - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.assets.UserAsset | uipath.models.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.assets.UserAsset | uipath.models.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.models.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.models.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.models.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.models.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API (Studio-compatible). -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Iterator[uipath.models.buckets.BucketFile] - -# Async version of get_files(). -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.AsyncIterator[uipath.models.buckets.BucketFile] - -# List buckets with auto-pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None) -> typing.Iterator[uipath.models.buckets.Bucket] - -# Async version of list() with auto-pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None) -> typing.AsyncIterator[uipath.models.buckets.Bucket] - -# List files in a bucket. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Iterator[uipath.models.buckets.BucketFile] - -# List files in a bucket asynchronously. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.AsyncIterator[uipath.models.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.models.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.models.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.models.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.models.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.models.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.models.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.models.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.models.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.models.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.models.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Dict[str, Any], description: Optional[str]=None, cron_expression: Optional[str]=None, time_zone_id: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Dict[str, Any], description: Optional[str]=None, cron_expression: Optional[str]=None, time_zone_id: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.models.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.models.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.models.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.models.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.models.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.models.context_grounding.ContextGroundingQueryResponse] - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(tag: str, project_name: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> typing.List[uipath.models.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(tag: str, project_name: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> typing.List[uipath.models.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.models.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.models.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.models.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.models.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.models.documents.ClassificationResult]=None, project_type: Optional[uipath.models.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.models.documents.ExtractionResponse, uipath.models.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.models.documents.ClassificationResult]=None, project_type: Optional[uipath.models.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.models.documents.ExtractionResponse, uipath.models.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.models.documents.ValidateClassificationAction) -> typing.List[uipath.models.documents.ClassificationResult] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.models.documents.ValidateClassificationAction) -> typing.List[uipath.models.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.models.documents.ValidateExtractionAction) -> typing.Union[uipath.models.documents.ExtractionResponse, uipath.models.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.models.documents.ValidateExtractionAction) -> typing.Union[uipath.models.documents.ExtractionResponse, uipath.models.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.models.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.models.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.models.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.models.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.models.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.models.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.models.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.models.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.models.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.models.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.models.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.models.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.models.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.models.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.models.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.models.llm_gateway.AutoToolChoice, uipath.models.llm_gateway.RequiredToolChoice, uipath.models.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.models.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.models.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.models.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.models.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.models.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.models.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.models.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.models.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.models.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - diff --git a/samples/hitl-inbox-server/AGENTS.md b/samples/hitl-inbox-server/AGENTS.md deleted file mode 100644 index b83142f0f..000000000 --- a/samples/hitl-inbox-server/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/hitl-inbox-server/CLAUDE.md b/samples/hitl-inbox-server/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/hitl-inbox-server/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/hitl-inbox-server/bindings.json b/samples/hitl-inbox-server/bindings.json index e61869a89..bc63ba901 100644 --- a/samples/hitl-inbox-server/bindings.json +++ b/samples/hitl-inbox-server/bindings.json @@ -1,21 +1,21 @@ { - "version": "2.0", - "resources": [ - { - "resource": "process", - "key": "open_deep_research", - "value": { - "name": { - "defaultValue": "open_deep_research", - "isExpression": false, - "displayName": "Name" - } - }, - "metadata": { - "ActivityName": "invoke_async", - "BindingsVersion": "2.2", - "DisplayLabel": "FullName" - } + "version": "2.0", + "resources": [ + { + "resource": "process", + "key": "open_deep_research", + "value": { + "name": { + "defaultValue": "open_deep_research", + "isExpression": false, + "displayName": "Name" } - ] + }, + "metadata": { + "ActivityName": "invoke_async", + "BindingsVersion": "2.2", + "DisplayLabel": "FullName" + } + } + ] } \ No newline at end of file diff --git a/samples/hitl-inbox-server/entry-points.json b/samples/hitl-inbox-server/entry-points.json deleted file mode 100644 index 2a6cae14c..000000000 --- a/samples/hitl-inbox-server/entry-points.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - 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-### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.constants import START, END -from langgraph.graph import StateGraph -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/multi-agent-planner-researcher-coder-distributed/.agent/REQUIRED_STRUCTURE.md b/samples/multi-agent-planner-researcher-coder-distributed/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/multi-agent-planner-researcher-coder-distributed/.agent/SDK_REFERENCE.md b/samples/multi-agent-planner-researcher-coder-distributed/.agent/SDK_REFERENCE.md deleted file mode 100644 index 499faab42..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,619 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/multi-agent-planner-researcher-coder-distributed/AGENTS.md b/samples/multi-agent-planner-researcher-coder-distributed/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/multi-agent-planner-researcher-coder-distributed/CLAUDE.md b/samples/multi-agent-planner-researcher-coder-distributed/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/multi-agent-planner-researcher-coder-distributed/bindings.json b/samples/multi-agent-planner-researcher-coder-distributed/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/multi-agent-planner-researcher-coder-distributed/entry-points.json b/samples/multi-agent-planner-researcher-coder-distributed/entry-points.json deleted file mode 100644 index 0139fce8f..000000000 --- a/samples/multi-agent-planner-researcher-coder-distributed/entry-points.json +++ /dev/null @@ -1,2488 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "planner", - "uniqueId": "612002c9-74ee-4b66-b262-0dd0a524f3c8", - "type": "agent", - "input": { - "type": "object", - "properties": { - "question": { - "title": "Question", - "type": "string" - } - }, - "required": [ - "question" - ] - }, - "output": { - "type": "object", - "properties": { - "answer": { - "default": null, - "title": "Answer", - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "input", - "name": "input", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "planner_agent", - "name": "planner_agent", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "router", - "name": "router", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "invoke_agent", - "name": "invoke_agent", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "output", - "name": "output", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "input", - "label": null - }, - { - "source": "input", - "target": "router", - "label": null - }, - { - "source": "invoke_agent", - "target": "router", - "label": null - }, - { - "source": "planner_agent", - "target": "router", - "label": null - }, - { - "source": "router", - "target": "invoke_agent", - "label": null - }, - { - "source": "router", - "target": "output", - "label": "__end__" - }, - { - "source": "router", - "target": "planner_agent", - "label": null - }, - { - "source": "output", - "target": "__end__", - "label": null - } - ] - } - }, - { - "filePath": "researcher", - "uniqueId": "84adaea3-48d6-4e92-a095-2e4f9d4f60eb", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "answer": { - "default": null, - "title": "Answer", - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "researcher", - "name": "researcher", - "type": "node", - "subgraph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "tavily_search" - ], - "tool_count": 1 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - }, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "researcher", - "label": null - }, - { - "source": "researcher", - "target": "__end__", - "label": null - } - ] - } - }, - { - "filePath": "coder", - "uniqueId": "ecd1a7d1-3348-4d86-9cfe-69408e575d87", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/multi-agent-supervisor-researcher-coder/.agent/REQUIRED_STRUCTURE.md b/samples/multi-agent-supervisor-researcher-coder/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/multi-agent-supervisor-researcher-coder/.agent/SDK_REFERENCE.md b/samples/multi-agent-supervisor-researcher-coder/.agent/SDK_REFERENCE.md deleted file mode 100644 index 499faab42..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,619 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/multi-agent-supervisor-researcher-coder/AGENTS.md b/samples/multi-agent-supervisor-researcher-coder/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/multi-agent-supervisor-researcher-coder/CLAUDE.md b/samples/multi-agent-supervisor-researcher-coder/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/multi-agent-supervisor-researcher-coder/bindings.json b/samples/multi-agent-supervisor-researcher-coder/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/multi-agent-supervisor-researcher-coder/entry-points.json b/samples/multi-agent-supervisor-researcher-coder/entry-points.json deleted file mode 100644 index 14fc7817d..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/entry-points.json +++ /dev/null @@ -1,254 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "3252b086-675a-4d9d-a549-e99fa6f7cd2d", - "type": "agent", - "input": { - "type": "object", - "properties": { - "question": { - "title": "Question", - "type": "string" - } - }, - "required": [ - "question" - ] - }, - "output": { - "type": "object", - "properties": { - "answer": { - "default": null, - "title": "Answer", - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "input", - "name": "input", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "supervisor", - "name": "supervisor", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "researcher", - "name": "researcher", - "type": "node", - "subgraph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "tavily_search" - ], - "tool_count": 1 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - }, - "metadata": {} - }, - { - "id": "coder", - "name": "coder", - "type": "node", - "subgraph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-3-7-sonnet-latest", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "python_repl_tool" - ], - "tool_count": 1 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - }, - "metadata": {} - }, - { - "id": "output", - "name": "output", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "__start__", - "target": "input", - "label": null - }, - { - "source": "coder", - "target": "supervisor", - "label": null - }, - { - "source": "input", - "target": "supervisor", - "label": null - }, - { - "source": "researcher", - "target": "supervisor", - "label": null - }, - { - "source": "supervisor", - "target": "coder", - "label": null - }, - { - "source": "supervisor", - "target": "output", - "label": "__end__" - }, - { - "source": "supervisor", - "target": "researcher", - "label": null - }, - { - "source": "output", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/multi-agent-supervisor-researcher-coder/pyproject.toml b/samples/multi-agent-supervisor-researcher-coder/pyproject.toml index f7b16325e..03cf377ea 100644 --- a/samples/multi-agent-supervisor-researcher-coder/pyproject.toml +++ b/samples/multi-agent-supervisor-researcher-coder/pyproject.toml @@ -10,11 +10,11 @@ dependencies = [ "langchain-experimental>=0.4.0", "tavily-python>=0.7.13", "langchain-tavily>=0.2.13", - "uipath>=2.3.0, <2.4.0", - "uipath-langchain>=0.2.0, <0.3.0", + "uipath", + "uipath-langchain", ] [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/multi-agent-supervisor-researcher-coder/uv.lock b/samples/multi-agent-supervisor-researcher-coder/uv.lock deleted file mode 100644 index 3763cdce1..000000000 --- a/samples/multi-agent-supervisor-researcher-coder/uv.lock +++ /dev/null @@ -1,3315 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/oauth-external-apps-agent/.agent/REQUIRED_STRUCTURE.md b/samples/oauth-external-apps-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/oauth-external-apps-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/oauth-external-apps-agent/.agent/SDK_REFERENCE.md b/samples/oauth-external-apps-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/oauth-external-apps-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/oauth-external-apps-agent/AGENTS.md b/samples/oauth-external-apps-agent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/oauth-external-apps-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/oauth-external-apps-agent/CLAUDE.md b/samples/oauth-external-apps-agent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/oauth-external-apps-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/oauth-external-apps-agent/bindings.json b/samples/oauth-external-apps-agent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/oauth-external-apps-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/oauth-external-apps-agent/entry-points.json b/samples/oauth-external-apps-agent/entry-points.json deleted file mode 100644 index 10b4ce161..000000000 --- a/samples/oauth-external-apps-agent/entry-points.json +++ /dev/null @@ -1,82 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "cb508fac-2d57-4430-90f1-1c6f689ce197", - "type": "agent", - "input": { - "type": "object", - "properties": { - "task": { - "title": "Task", - "type": "string" - } - }, - "required": [ - "task" - ] - }, - "output": { - "type": "object", - "properties": { - "result": { - "type": "string" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "fetch_new_access_token", - "name": "fetch_new_access_token", - "type": "Node", - "subgraph": null - }, - { - "id": "connect_to_mcp", - "name": "connect_to_mcp", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "connect_to_mcp", - "label": null - }, - { - "source": "__start__", - "target": "fetch_new_access_token", - "label": null - }, - { - "source": "fetch_new_access_token", - "target": "connect_to_mcp", - "label": null - }, - { - "source": "connect_to_mcp", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/oauth-external-apps-agent/pyproject.toml b/samples/oauth-external-apps-agent/pyproject.toml index cf79db70e..e02acf22f 100644 --- a/samples/oauth-external-apps-agent/pyproject.toml +++ b/samples/oauth-external-apps-agent/pyproject.toml @@ -11,12 +11,12 @@ dependencies = [ "anthropic>=0.57.1", "langchain-mcp-adapters>=0.1.14", "mypy>=1.17.1", - "uipath>=2.3.0, <2.4.0", - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/retrieval-chain/.agent/REQUIRED_STRUCTURE.md b/samples/retrieval-chain/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51bf..000000000 --- a/samples/retrieval-chain/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/samples/retrieval-chain/.agent/SDK_REFERENCE.md b/samples/retrieval-chain/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/retrieval-chain/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/retrieval-chain/AGENTS.md b/samples/retrieval-chain/AGENTS.md deleted file mode 100644 index b83142f0f..000000000 --- a/samples/retrieval-chain/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/retrieval-chain/CLAUDE.md b/samples/retrieval-chain/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/retrieval-chain/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/retrieval-chain/bindings.json b/samples/retrieval-chain/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/retrieval-chain/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/retrieval-chain/entry-points.json b/samples/retrieval-chain/entry-points.json deleted file mode 100644 index 3748de53a..000000000 --- a/samples/retrieval-chain/entry-points.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [] -} \ No newline at end of file diff --git a/samples/retrieval-chain/pyproject.toml b/samples/retrieval-chain/pyproject.toml index 5c704b5a9..c02a14e23 100644 --- a/samples/retrieval-chain/pyproject.toml +++ b/samples/retrieval-chain/pyproject.toml @@ -4,12 +4,12 @@ version = "0.0.1" description = "Sample retrieval chain using UiPath Context Grounding API" authors = [{ name = "John Doe", email = "john.doe@myemail.com" }] dependencies = [ - "uipath-langchain>=0.2.0, <0.3.0", - "uipath>=2.3.0, <2.4.0", + "uipath-langchain", + "uipath", ] requires-python = ">=3.11" [dependency-groups] dev = [ - 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All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/simple-deepagent/.agent/REQUIRED_STRUCTURE.md b/samples/simple-deepagent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index a8d245123..000000000 --- a/samples/simple-deepagent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4.1-mini-2025-04-14", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/simple-deepagent/.agent/SDK_REFERENCE.md b/samples/simple-deepagent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 45e12636a..000000000 --- a/samples/simple-deepagent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,686 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index_async(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/simple-deepagent/AGENTS.md b/samples/simple-deepagent/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/simple-deepagent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/simple-deepagent/CLAUDE.md b/samples/simple-deepagent/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/simple-deepagent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/simple-deepagent/bindings.json b/samples/simple-deepagent/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/simple-deepagent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/simple-deepagent/entry-points.json b/samples/simple-deepagent/entry-points.json deleted file mode 100644 index 08d2c2a01..000000000 --- a/samples/simple-deepagent/entry-points.json +++ /dev/null @@ -1,2334 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "a73409e9-1978-4873-bf9f-457c1b1b201d", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk` objects (e.g., via `AIMessageChunk.__add__`), all\nstring attributes are concatenated. Chunks are only merged if their values of\n`index` are equal and not `None`.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "files": { - "additionalProperties": { - "description": "Data structure for storing file contents with metadata.", - "properties": { - "content": { - "items": { - "type": "string" - }, - "title": "Content", - "type": "array" - }, - "created_at": { - "title": "Created At", - "type": "string" - }, - "modified_at": { - "title": "Modified At", - "type": "string" - } - }, - "required": [ - "content", - "created_at", - "modified_at" - ], - "title": "FileData", - "type": "object" - }, - "title": "Files", - "type": "object" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\n`tool_call_id` is used to associate the tool call request with the tool call\nresponse. Useful in situations where a chat model is able to request multiple tool\ncalls in parallel.\n\nExample:\n A `ToolMessage` representing a result of `42` from a tool call with id\n\n ```python\n from langchain_core.messages import ToolMessage\n\n ToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n ```\n\nExample:\n A `ToolMessage` where only part of the tool output is sent to the model\n and the full output is passed in to artifact.\n\n ```python\n from langchain_core.messages import ToolMessage\n\n tool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n }\n\n ToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n )\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.\n\n!!! note \"Factory function\"\n\n `tool_call` may also be used as a factory to create a `ToolCall`. Benefits\n include:\n\n * Required arguments strictly validated at creation time", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk` objects (e.g., via `AIMessageChunk.__add__`), all\nstring attributes are concatenated. Chunks are only merged if their values of\n`index` are equal and not `None`.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "title": "Structured Response" - }, - "todos": { - "items": { - "description": "A single todo item with content and status.", - "properties": { - "content": { - "title": "Content", - "type": "string" - }, - "status": { - "enum": [ - "pending", - "in_progress", - "completed" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "status" - ], - "title": "Todo", - "type": "object" - }, - "title": "Todos", - "type": "array" - }, - "files": { - "additionalProperties": { - "description": "Data structure for storing file contents with metadata.", - "properties": { - "content": { - "items": { - "type": "string" - }, - "title": "Content", - "type": "array" - }, - "created_at": { - "title": "Created At", - "type": "string" - }, - "modified_at": { - "title": "Modified At", - "type": "string" - } - }, - "required": [ - "content", - "created_at", - "modified_at" - ], - "title": "FileData", - "type": "object" - }, - "title": "Files", - "type": "object" - } - }, - "required": [ - "messages" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": {} - }, - { - "id": "model", - "name": "model", - "type": "model", - "subgraph": null, - "metadata": { - "model_name": "claude-haiku-4-5", - "max_tokens": 64000 - } - }, - { - "id": "tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "write_todos", - "ls", - "read_file", - "write_file", - "edit_file", - "glob", - "grep", - "execute", - "task", - "tavily_search" - ], - "tool_count": 10 - } - }, - { - "id": "TodoListMiddleware.after_model", - "name": "TodoListMiddleware.after_model", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "SummarizationMiddleware.before_model", - "name": "SummarizationMiddleware.before_model", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "PatchToolCallsMiddleware.before_agent", - "name": "PatchToolCallsMiddleware.before_agent", - "type": "node", - "subgraph": null, - "metadata": {} - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": {} - } - ], - "edges": [ - { - "source": "PatchToolCallsMiddleware.before_agent", - "target": "SummarizationMiddleware.before_model", - "label": null - }, - { - "source": "SummarizationMiddleware.before_model", - "target": "model", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "SummarizationMiddleware.before_model", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "__end__", - "label": null - }, - { - "source": "TodoListMiddleware.after_model", - "target": "tools", - "label": null - }, - { - "source": "__start__", - "target": "PatchToolCallsMiddleware.before_agent", - "label": null - }, - { - "source": "model", - "target": "TodoListMiddleware.after_model", - "label": null - }, - { - "source": "tools", - "target": "SummarizationMiddleware.before_model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/simple-deepagent/pyproject.toml b/samples/simple-deepagent/pyproject.toml index e86a8cf13..e82ea56f0 100644 --- a/samples/simple-deepagent/pyproject.toml +++ b/samples/simple-deepagent/pyproject.toml @@ -10,11 +10,11 @@ dependencies = [ "langchain-tavily>=0.2.17", "langgraph>=1.0.7", "tavily-python>=0.7.21", - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/simple-local-mcp/.agent/REQUIRED_STRUCTURE.md b/samples/simple-local-mcp/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/simple-local-mcp/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/simple-local-mcp/.agent/SDK_REFERENCE.md b/samples/simple-local-mcp/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/simple-local-mcp/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/simple-local-mcp/AGENTS.md b/samples/simple-local-mcp/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/simple-local-mcp/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/simple-local-mcp/CLAUDE.md b/samples/simple-local-mcp/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/simple-local-mcp/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/simple-local-mcp/bindings.json b/samples/simple-local-mcp/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/simple-local-mcp/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/simple-local-mcp/entry-points.json b/samples/simple-local-mcp/entry-points.json deleted file mode 100644 index 02c4a92fd..000000000 --- a/samples/simple-local-mcp/entry-points.json +++ /dev/null @@ -1,2192 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "25359821-b310-46fb-b4b2-59064f37613b", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "default": null, - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - }, - "structured_response": { - "default": null, - "title": "Structured Response" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "model", - "name": "model", - "type": "Node", - "subgraph": null - }, - { - "id": "tools", - "name": "tools", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "model", - "label": null - }, - { - "source": "model", - "target": "__end__", - "label": null - }, - { - "source": "model", - "target": "tools", - "label": null - }, - { - "source": "tools", - "target": "model", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/simple-local-mcp/pyproject.toml b/samples/simple-local-mcp/pyproject.toml index a41870033..99de5aa9d 100644 --- a/samples/simple-local-mcp/pyproject.toml +++ b/samples/simple-local-mcp/pyproject.toml @@ -7,13 +7,13 @@ dependencies = [ "langchain-anthropic>=1.2.0", "langchain-mcp-adapters>=0.1.14", "mcp>=1.15.0", - "uipath>=2.3.0, <2.4.0", - "uipath-langchain>=0.2.0, <0.3.0", + "uipath", + "uipath-langchain", ] requires-python = ">=3.11" [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/simple-local-mcp/uv.lock b/samples/simple-local-mcp/uv.lock deleted file mode 100644 index 3347bdc1c..000000000 --- a/samples/simple-local-mcp/uv.lock +++ /dev/null @@ -1,3001 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/simple-remote-mcp/.agent/REQUIRED_STRUCTURE.md b/samples/simple-remote-mcp/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/simple-remote-mcp/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/simple-remote-mcp/.agent/SDK_REFERENCE.md b/samples/simple-remote-mcp/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/simple-remote-mcp/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/simple-remote-mcp/AGENTS.md b/samples/simple-remote-mcp/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/simple-remote-mcp/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/simple-remote-mcp/CLAUDE.md b/samples/simple-remote-mcp/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/simple-remote-mcp/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/simple-remote-mcp/bindings.json b/samples/simple-remote-mcp/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/simple-remote-mcp/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/simple-remote-mcp/entry-points.json b/samples/simple-remote-mcp/entry-points.json deleted file mode 100644 index 1232ae2ae..000000000 --- a/samples/simple-remote-mcp/entry-points.json +++ /dev/null @@ -1,2172 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "c4dc7759-0b21-42bf-91a8-7c8f877d47d5", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "messages": { - "default": null, - "items": { - "oneOf": [ - { - "additionalProperties": true, - "description": "Message from an AI.\n\nAn `AIMessage` is returned from a chat model as a response to a prompt.\n\nThis message represents the output of the model and consists of both\nthe raw output as returned by the model and standardized fields\n(e.g., tool calls, usage metadata) added by the LangChain framework.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ai", - "default": "ai", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - } - }, - "required": [ - "content" - ], - "title": "AIMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message from the user.\n\nA `HumanMessage` is a message that is passed in from a user to the model.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Instantiate a chat model and invoke it with the messages\n model = ...\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "human", - "default": "human", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message that can be assigned an arbitrary speaker (i.e. role).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "chat", - "default": "chat", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for priming AI behavior.\n\nThe system message is usually passed in as the first of a sequence\nof input messages.\n\nExample:\n ```python\n from langchain_core.messages import HumanMessage, SystemMessage\n\n messages = [\n SystemMessage(content=\"You are a helpful assistant! Your name is Bob.\"),\n HumanMessage(content=\"What is your name?\"),\n ]\n\n # Define a chat model and invoke it with the messages\n print(model.invoke(messages))\n ```", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "system", - "default": "system", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`FunctionMessage` are an older version of the `ToolMessage` schema, and\ndo not contain the `tool_call_id` field.\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "function", - "default": "function", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message for passing the result of executing a tool back to a model.\n\n`ToolMessage` objects contain the result of a tool invocation. Typically, the result\nis encoded inside the `content` field.\n\nExample: A `ToolMessage` representing a result of `42` from a tool call with id\n\n```python\nfrom langchain_core.messages import ToolMessage\n\nToolMessage(content=\"42\", tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\")\n```\n\nExample: A `ToolMessage` where only part of the tool output is sent to the model\nand the full output is passed in to artifact.\n\n```python\nfrom langchain_core.messages import ToolMessage\n\ntool_output = {\n \"stdout\": \"From the graph we can see that the correlation between \"\n \"x and y is ...\",\n \"stderr\": None,\n \"artifacts\": {\"type\": \"image\", \"base64_data\": \"/9j/4gIcSU...\"},\n}\n\nToolMessage(\n content=tool_output[\"stdout\"],\n artifact=tool_output,\n tool_call_id=\"call_Jja7J89XsjrOLA5r!MEOW!SL\",\n)\n```\n\nThe `tool_call_id` field is used to associate the tool call request with the\ntool call response. Useful in situations where a chat model is able\nto request multiple tool calls in parallel.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "tool", - "default": "tool", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessage", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Message chunk from an AI (yielded when streaming).", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "AIMessageChunk", - "default": "AIMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Represents an AI's request to call a tool.\n\nExample:\n ```python\n {\"name\": \"foo\", \"args\": {\"a\": 1}, \"id\": \"123\"}\n ```\n\n This represents a request to call the tool named `'foo'` with arguments\n `{\"a\": 1}` and an identifier of `'123'`.", - "properties": { - "name": { - "title": "Name", - "type": "string" - }, - "args": { - "additionalProperties": true, - "title": "Args", - "type": "object" - }, - "id": { - "type": "string" - }, - "type": { - "const": "tool_call", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id" - ], - "title": "ToolCall", - "type": "object" - }, - "title": "Tool Calls", - "type": "array" - }, - "invalid_tool_calls": { - "default": [], - "items": { - "additionalProperties": true, - "description": "Allowance for errors made by LLM.\n\nHere we add an `error` key to surface errors made during generation\n(e.g., invalid JSON arguments.)", - "properties": { - "type": { - "const": "invalid_tool_call", - "title": "Type", - "type": "string" - }, - "id": { - "type": "string" - }, - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "error": { - "type": "string" - }, - "index": { - "anyOf": [ - { - "type": "integer" - }, - { - "type": "string" - } - ], - "title": "Index" - }, - "extras": { - "additionalProperties": true, - "title": "Extras", - "type": "object" - } - }, - "required": [ - "type", - "id", - "name", - "args", - "error" - ], - "title": "InvalidToolCall", - "type": "object" - }, - "title": "Invalid Tool Calls", - "type": "array" - }, - "usage_metadata": { - "additionalProperties": true, - "description": "Usage metadata for a message, such as token counts.\n\nThis is a standard representation of token usage that is consistent across models.\n\nExample:\n ```python\n {\n \"input_tokens\": 350,\n \"output_tokens\": 240,\n \"total_tokens\": 590,\n \"input_token_details\": {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n },\n \"output_token_details\": {\n \"audio\": 10,\n \"reasoning\": 200,\n },\n }\n ```\n\n!!! warning \"Behavior changed in `langchain-core` 0.3.9\"\n Added `input_token_details` and `output_token_details`.\n\n!!! note \"LangSmith SDK\"\n The LangSmith SDK also has a `UsageMetadata` class. While the two share fields,\n LangSmith's `UsageMetadata` has additional fields to capture cost information\n used by the LangSmith platform.", - "properties": { - "input_tokens": { - "title": "Input Tokens", - "type": "integer" - }, - "output_tokens": { - "title": "Output Tokens", - "type": "integer" - }, - "total_tokens": { - "title": "Total Tokens", - "type": "integer" - }, - "input_token_details": { - "additionalProperties": true, - "description": "Breakdown of input token counts.\n\nDoes *not* need to sum to full input token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"cache_creation\": 200,\n \"cache_read\": 100,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "cache_creation": { - "title": "Cache Creation", - "type": "integer" - }, - "cache_read": { - "title": "Cache Read", - "type": "integer" - } - }, - "title": "InputTokenDetails", - "type": "object" - }, - "output_token_details": { - "additionalProperties": true, - "description": "Breakdown of output token counts.\n\nDoes *not* need to sum to full output token count. Does *not* need to have all keys.\n\nExample:\n ```python\n {\n \"audio\": 10,\n \"reasoning\": 200,\n }\n ```\n\nMay also hold extra provider-specific keys.\n\n!!! version-added \"Added in `langchain-core` 0.3.9\"", - "properties": { - "audio": { - "title": "Audio", - "type": "integer" - }, - "reasoning": { - "title": "Reasoning", - "type": "integer" - } - }, - "title": "OutputTokenDetails", - "type": "object" - } - }, - "required": [ - "input_tokens", - "output_tokens", - "total_tokens" - ], - "title": "UsageMetadata", - "type": "object" - }, - "tool_call_chunks": { - "default": [], - "items": { - "additionalProperties": true, - "description": "A chunk of a tool call (yielded when streaming).\n\nWhen merging `ToolCallChunk`s (e.g., via `AIMessageChunk.__add__`),\nall string attributes are concatenated. Chunks are only merged if their\nvalues of `index` are equal and not None.\n\nExample:\n```python\nleft_chunks = [ToolCallChunk(name=\"foo\", args='{\"a\":', index=0)]\nright_chunks = [ToolCallChunk(name=None, args=\"1}\", index=0)]\n\n(\n AIMessageChunk(content=\"\", tool_call_chunks=left_chunks)\n + AIMessageChunk(content=\"\", tool_call_chunks=right_chunks)\n).tool_call_chunks == [ToolCallChunk(name=\"foo\", args='{\"a\":1}', index=0)]\n```", - "properties": { - "name": { - "type": "string" - }, - "args": { - "type": "string" - }, - "id": { - "type": "string" - }, - "index": { - "type": "integer" - }, - "type": { - "const": "tool_call_chunk", - "title": "Type", - "type": "string" - } - }, - "required": [ - "name", - "args", - "id", - "index" - ], - "title": "ToolCallChunk", - "type": "object" - }, - "title": "Tool Call Chunks", - "type": "array" - }, - "chunk_position": { - "const": "last", - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "AIMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Human Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "HumanMessageChunk", - "default": "HumanMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "HumanMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Chat Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ChatMessageChunk", - "default": "ChatMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "role": { - "title": "Role", - "type": "string" - } - }, - "required": [ - "content", - "role" - ], - "title": "ChatMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "System Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "SystemMessageChunk", - "default": "SystemMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content" - ], - "title": "SystemMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Function Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "FunctionMessageChunk", - "default": "FunctionMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "title": "Name", - "type": "string" - }, - "id": { - "type": "string" - } - }, - "required": [ - "content", - "name" - ], - "title": "FunctionMessageChunk", - "type": "object" - }, - { - "additionalProperties": true, - "description": "Tool Message chunk.", - "properties": { - "content": { - "anyOf": [ - { - "type": "string" - }, - { - "items": { - "anyOf": [ - { - "type": "string" - }, - { - "additionalProperties": true, - "type": "object" - } - ] - }, - "type": "array" - } - ], - "title": "Content" - }, - "additional_kwargs": { - "additionalProperties": true, - "title": "Additional Kwargs", - "type": "object" - }, - "response_metadata": { - "additionalProperties": true, - "title": "Response Metadata", - "type": "object" - }, - "type": { - "const": "ToolMessageChunk", - "default": "ToolMessageChunk", - "title": "Type", - "type": "string" - }, - "name": { - "type": "string" - }, - "id": { - "type": "string" - }, - "tool_call_id": { - "title": "Tool Call Id", - "type": "string" - }, - "artifact": { - "default": null, - "title": "Artifact" - }, - "status": { - "default": "success", - "enum": [ - "success", - "error" - ], - "title": "Status", - "type": "string" - } - }, - "required": [ - "content", - "tool_call_id" - ], - "title": "ToolMessageChunk", - "type": "object" - } - ] - }, - "title": "Messages", - "type": "array" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "mcp_client", - "name": "mcp_client", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "mcp_client", - "label": null - }, - { - "source": "mcp_client", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/simple-remote-mcp/pyproject.toml b/samples/simple-remote-mcp/pyproject.toml index 975a8afd9..c43f76114 100644 --- a/samples/simple-remote-mcp/pyproject.toml +++ b/samples/simple-remote-mcp/pyproject.toml @@ -10,12 +10,12 @@ dependencies = [ "python-dotenv>=1.0.0", "anthropic>=0.57.1", "langchain-mcp-adapters>=0.1.14", - "uipath>=2.3.0, <2.4.0", - "uipath-langchain>=0.2.0, <0.3.0", + "uipath", + "uipath-langchain", ] requires-python = ">=3.11" [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/simple-remote-mcp/uv.lock b/samples/simple-remote-mcp/uv.lock deleted file mode 100644 index 8b4cc806a..000000000 --- a/samples/simple-remote-mcp/uv.lock +++ /dev/null @@ -1,3006 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", -] - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/samples/ticket-classification/.agent/REQUIRED_STRUCTURE.md b/samples/ticket-classification/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index d568f4240..000000000 --- a/samples/ticket-classification/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,92 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these three Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class State(BaseModel): - """Define the agent's internal state that flows between nodes""" - # Add your state fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### Required LLM Initialization - -Unless the user explicitly requests a different LLM provider, always use `UiPathChat`: - -```python -from uipath_langchain.chat import UiPathChat - -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) -``` - -**Alternative LLMs** (only use if explicitly requested): -- `ChatOpenAI` from `langchain_openai` -- `ChatAnthropic` from `langchain_anthropic` -- Other LangChain-compatible LLMs - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from langchain_core.messages import SystemMessage, HumanMessage -from langgraph.graph import START, StateGraph, END -from uipath_langchain.chat import UiPathChat -from pydantic import BaseModel - -# 1. Define Input, State, and Output models -class Input(BaseModel): - field: str - -class State(BaseModel): - field: str - result: str = "" - -class Output(BaseModel): - result: str - -# 2. Initialize UiPathChat LLM -llm = UiPathChat(model="gpt-4o-2024-08-06", temperature=0.7) - -# 3. Define agent nodes (async functions) -async def process_node(state: State) -> State: - response = await llm.ainvoke([HumanMessage(state.field)]) - return State(field=state.field, result=response.content) - -async def output_node(state: State) -> Output: - return Output(result=state.result) - -# 4. Build the graph -builder = StateGraph(State, input=Input, output=Output) -builder.add_node("process", process_node) -builder.add_node("output", output_node) -builder.add_edge(START, "process") -builder.add_edge("process", "output") -builder.add_edge("output", END) - -# 5. Compile the graph -graph = builder.compile() -``` - -**Key Rules**: -1. Always use async/await for all node functions -2. All nodes (except output) must accept and return `State` -3. The final output node must return `Output` -4. Use `StateGraph(State, input=Input, output=Output)` for initialization -5. Always compile with `graph = builder.compile()` diff --git a/samples/ticket-classification/.agent/SDK_REFERENCE.md b/samples/ticket-classification/.agent/SDK_REFERENCE.md deleted file mode 100644 index 290f680c4..000000000 --- a/samples/ticket-classification/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,549 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> str - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath._services.documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath._services.documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath._services.documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath._services.documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in the Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: Union[List[Dict[str, str]], List[tuple[str, str]]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: Optional[float]=1, top_k: Optional[int]=None, tools: Optional[List[uipath.platform.llm_gateway.llm_gateway.ToolDefinition]]=None, tool_choice: Union[uipath.platform.llm_gateway.llm_gateway.AutoToolChoice, uipath.platform.llm_gateway.llm_gateway.RequiredToolChoice, uipath.platform.llm_gateway.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: List[Dict[str, str]], model: str="gpt-4o-mini-2024-07-18", max_tokens: int=4096, temperature: float=0, response_format: Union[Dict[str, Any], type[pydantic.main.BaseModel], NoneType]=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: Optional[str]=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="") -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/samples/ticket-classification/AGENTS.md b/samples/ticket-classification/AGENTS.md deleted file mode 100644 index c1f02680a..000000000 --- a/samples/ticket-classification/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using LangGraph and the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, State, Output), LLM initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/samples/ticket-classification/CLAUDE.md b/samples/ticket-classification/CLAUDE.md deleted file mode 100644 index eef4bd20c..000000000 --- a/samples/ticket-classification/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/samples/ticket-classification/bindings.json b/samples/ticket-classification/bindings.json deleted file mode 100644 index 5dd5a0fd8..000000000 --- a/samples/ticket-classification/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/samples/ticket-classification/entry-points.json b/samples/ticket-classification/entry-points.json deleted file mode 100644 index b19414b7b..000000000 --- a/samples/ticket-classification/entry-points.json +++ /dev/null @@ -1,115 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "84b9231d-4561-4c1c-a7cb-a6f548432f17", - "type": "agent", - "input": { - "type": "object", - "properties": { - "message": { - "title": "Message", - "type": "string" - }, - "ticket_id": { - "title": "Ticket Id", - "type": "string" - }, - "assignee": { - "type": "string" - } - }, - "required": [ - "message", - "ticket_id" - ] - }, - "output": { - "type": "object", - "properties": { - "label": { - "type": "string" - }, - "confidence": { - "type": "number" - } - }, - "required": [] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "Node", - "subgraph": null - }, - { - "id": "prepare_input", - "name": "prepare_input", - "type": "Node", - "subgraph": null - }, - { - "id": "classify", - "name": "classify", - "type": "Node", - "subgraph": null - }, - { - "id": "human_approval_node", - "name": "human_approval_node", - "type": "Node", - "subgraph": null - }, - { - "id": "notify_team", - "name": "notify_team", - "type": "Node", - "subgraph": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "Node", - "subgraph": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "prepare_input", - "label": null - }, - { - "source": "classify", - "target": "human_approval_node", - "label": null - }, - { - "source": "human_approval_node", - "target": "classify", - "label": null - }, - { - "source": "human_approval_node", - "target": "notify_team", - "label": null - }, - { - "source": "prepare_input", - "target": "classify", - "label": null - }, - { - "source": "notify_team", - "target": "__end__", - "label": null - } - ] - } - } - ] -} \ No newline at end of file diff --git a/samples/ticket-classification/pyproject.toml b/samples/ticket-classification/pyproject.toml index c609ee456..4ea586398 100644 --- a/samples/ticket-classification/pyproject.toml +++ b/samples/ticket-classification/pyproject.toml @@ -13,12 +13,12 @@ dependencies = [ "aiohttp>=3.11.12", "typing-extensions>=4.12.2", "ipython>=8.32.0", - "uipath>=2.3.0, <2.4.0", - "uipath-langchain>=0.2.0, <0.3.0", + "uipath", + "uipath-langchain", ] requires-python = ">=3.11" [dependency-groups] dev = [ - "uipath-dev>=0.0.14", + "uipath-dev", ] diff --git a/samples/ticket-classification/uv.lock b/samples/ticket-classification/uv.lock deleted file mode 100644 index fba2bd841..000000000 --- a/samples/ticket-classification/uv.lock +++ /dev/null @@ -1,3139 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.11" -resolution-markers = [ - "python_full_version >= '3.13'", - "python_full_version < '3.13'", -] - 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