feat(api): update API spec from langfuse/langfuse 25e6ad9

[langfuse-bot]

Important

Update API spec to add input/output schema validation fields and refine metadata type in dataset and score request classes.

• API Specification Update:
  • Add input_schema and expected_output_schema to Dataset in dataset.py for input and output validation.
  • Add input_schema and expected_output_schema to CreateDatasetRequest in create_dataset_request.py for input and output validation.
• Type Refinement:
  • Change metadata type to typing.Dict[str, typing.Any] in CreateScoreRequest in create_score_request.py for more specific typing.

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Greptile Overview

Updated On: 2025-11-06 17:35:58 UTC

Greptile Summary

This PR adds JSON Schema validation support for datasets and improves type safety for score metadata.

Key Changes:

• Added input_schema and expected_output_schema optional fields to Dataset and CreateDatasetRequest for validating dataset item inputs and expected outputs
• Added allow_population_by_field_name and populate_by_name to pydantic Config in CreateDatasetRequest to support both snake_case and camelCase field names
• Changed metadata type in CreateScoreRequest from typing.Any to typing.Dict[str, typing.Any] for better type safety

Impact:

• These are backward-compatible additions (all new fields are optional)
• Schema validation will apply to both new and existing dataset items when configured
• The metadata type refinement provides better type checking without breaking existing functionality

Confidence Score: 5/5

• This PR is safe to merge with minimal risk
• Score reflects that this is an auto-generated API client update with backward-compatible changes: all new fields are optional, type refinements are narrowing (more specific), and pydantic config additions are purely additive
• No files require special attention

Important Files Changed

File Analysis

Filename	Score	Overview
langfuse/api/resources/commons/types/dataset.py	5/5	Added input_schema and expected_output_schema fields for JSON Schema validation
langfuse/api/resources/datasets/types/create_dataset_request.py	5/5	Added schema validation fields and pydantic config for field aliasing
langfuse/api/resources/score/types/create_score_request.py	5/5	Refined metadata type from typing.Any to typing.Dict[str, typing.Any]

Sequence Diagram

sequenceDiagram
    participant Client
    participant CreateDatasetRequest
    participant Dataset
    participant API
    
    Client->>CreateDatasetRequest: Create dataset with schemas
    Note over CreateDatasetRequest: inputSchema (optional)<br/>expectedOutputSchema (optional)<br/>name, description, metadata
    CreateDatasetRequest->>API: POST /datasets
    Note over API: Validate schema fields<br/>Apply to new & existing items
    API->>Dataset: Return dataset object
    Note over Dataset: Contains inputSchema<br/>expectedOutputSchema<br/>for validation
    Dataset->>Client: Dataset with schemas
    
    Client->>API: Create/Update dataset items
    Note over API: Validate items against<br/>inputSchema & expectedOutputSchema
    API->>Client: Validated items

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