diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index ff261bad..62c2d13f 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -3,7 +3,6 @@ FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT} USER vscode -RUN curl -sSf https://rye.astral.sh/get | RYE_VERSION="0.44.0" RYE_INSTALL_OPTION="--yes" bash -ENV PATH=/home/vscode/.rye/shims:$PATH +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ RUN echo "[[ -d .venv ]] && source .venv/bin/activate || export PATH=\$PATH" >> /home/vscode/.bashrc diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index c17fdc16..e01283d8 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -7,7 +7,7 @@ "context": ".." }, - "postStartCommand": "rye sync --all-features", + "postStartCommand": "uv sync --all-extras", "customizations": { "vscode": { @@ -20,7 +20,7 @@ "python.defaultInterpreterPath": ".venv/bin/python", "python.typeChecking": "basic", "terminal.integrated.env.linux": { - "PATH": "/home/vscode/.rye/shims:${env:PATH}" + "PATH": "${env:PATH}" } } } diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ee914c4e..60dded45 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -21,52 +21,48 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Install Rye - run: | - curl -sSf https://rye.astral.sh/get | bash - echo "$HOME/.rye/shims" >> $GITHUB_PATH - env: - RYE_VERSION: '0.44.0' - RYE_INSTALL_OPTION: '--yes' + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: '0.8.11' - name: Install dependencies - run: rye sync --all-features + run: uv sync --all-extras - name: Run lints run: ./scripts/lint build: - if: github.repository == 'stainless-sdks/llama-stack-client-python' && (github.event_name == 'push' || github.event.pull_request.head.repo.fork) + if: github.event_name == 'push' || github.event.pull_request.head.repo.fork timeout-minutes: 10 name: build permissions: contents: read id-token: write - runs-on: depot-ubuntu-24.04 + runs-on: ${{ github.repository == 'stainless-sdks/llama-stack-client-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }} steps: - uses: actions/checkout@v4 - - name: Install Rye - run: | - curl -sSf https://rye.astral.sh/get | bash - echo "$HOME/.rye/shims" >> $GITHUB_PATH - env: - RYE_VERSION: '0.44.0' - RYE_INSTALL_OPTION: '--yes' + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: '0.8.11' - name: Install dependencies - run: rye sync --all-features + run: uv sync --all-extras - name: Run build - run: rye build + run: uv build - name: Get GitHub OIDC Token + if: github.repository == 'stainless-sdks/llama-stack-client-python' id: github-oidc uses: actions/github-script@v6 with: script: core.setOutput('github_token', await core.getIDToken()); - name: Upload tarball + if: github.repository == 'stainless-sdks/llama-stack-client-python' env: URL: https://pkg.stainless.com/s AUTH: ${{ steps.github-oidc.outputs.github_token }} @@ -81,13 +77,10 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Install Rye - run: | - curl -sSf https://rye.astral.sh/get | bash - echo "$HOME/.rye/shims" >> $GITHUB_PATH - env: - RYE_VERSION: '0.44.0' - RYE_INSTALL_OPTION: '--yes' + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: '0.8.11' - name: Bootstrap run: ./scripts/bootstrap diff --git a/.github/workflows/publish-pypi.yml b/.github/workflows/publish-pypi.yml index e62e7dd5..ae87025b 100644 --- a/.github/workflows/publish-pypi.yml +++ b/.github/workflows/publish-pypi.yml @@ -16,13 +16,10 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Install Rye - run: | - curl -sSf https://rye.astral.sh/get | bash - echo "$HOME/.rye/shims" >> $GITHUB_PATH - env: - RYE_VERSION: '0.44.0' - RYE_INSTALL_OPTION: '--yes' + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: '0.8.11' - name: Publish to PyPI run: | diff --git a/.gitignore b/.gitignore index 95ceb189..e98a6273 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ .prism.log +.mockoon.log _dev __pycache__ diff --git a/.release-please-manifest.json b/.release-please-manifest.json index bce5b8a9..23b4f02c 100644 --- a/.release-please-manifest.json +++ b/.release-please-manifest.json @@ -1,3 +1,3 @@ { - ".": "0.2.18-alpha.3" + ".": "0.2.19-alpha.1" } diff --git a/.stats.yml b/.stats.yml index cd6eb84a..f937dc2e 100644 --- a/.stats.yml +++ b/.stats.yml @@ -1,4 +1,4 @@ -configured_endpoints: 106 -openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-4f6633567c1a079df49d0cf58f37251a4bb0ee2f2a496ac83c9fee26eb325f9c.yml -openapi_spec_hash: af5b3d3bbecf48f15c90b982ccac852e -config_hash: e67fd054e95c1e82f78f4b834e96bb65 +configured_endpoints: 107 +openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/llamastack%2Fllama-stack-client-f252873ea1e1f38fd207331ef2621c511154d5be3f4076e59cc15754fc58eee4.yml +openapi_spec_hash: 10cbb4337a06a9fdd7d08612dd6044c3 +config_hash: 40b8d777e1eb8b6ab05759b663edd2fb diff --git a/Brewfile b/Brewfile index fc55cbe7..fe120712 100644 --- a/Brewfile +++ b/Brewfile @@ -1 +1 @@ -brew "rye" +brew "uv" diff --git a/CHANGELOG.md b/CHANGELOG.md index 06c78082..68e09576 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,26 @@ # Changelog +## 0.2.19-alpha.1 (2025-08-26) + +Full Changelog: [v0.2.18-alpha.3...v0.2.19-alpha.1](https://github.com/llamastack/llama-stack-client-python/compare/v0.2.18-alpha.3...v0.2.19-alpha.1) + +### Features + +* **api:** fix completion response breakage perhaps? ([f3b87fb](https://github.com/llamastack/llama-stack-client-python/commit/f3b87fb8922e781745aa55e2cfb8a421f769c8b1)) +* **api:** manual updates ([214d838](https://github.com/llamastack/llama-stack-client-python/commit/214d838dcfec5acede2951642b99d5b389ff2481)) +* **api:** use uv for python build ([8549433](https://github.com/llamastack/llama-stack-client-python/commit/854943368ba5e892818d69c1473aefcd6b03a87c)) + + +### Bug Fixes + +* **ci:** disabling tests due to issues ([f4ca280](https://github.com/llamastack/llama-stack-client-python/commit/f4ca28093eabcab9f7b078a6f5f1a5e4864dcd72)) + + +### Chores + +* **internal:** change ci workflow machines ([8d48d47](https://github.com/llamastack/llama-stack-client-python/commit/8d48d47eaeb5cc0ddbfb5ecd5482b79906dfcc9f)) +* sync repo ([7501b6e](https://github.com/llamastack/llama-stack-client-python/commit/7501b6e151771176d825bff9c2e85c40d221a705)) + ## 0.2.18-alpha.3 (2025-08-14) Full Changelog: [v0.2.18-alpha.2...v0.2.18-alpha.3](https://github.com/llamastack/llama-stack-client-python/compare/v0.2.18-alpha.2...v0.2.18-alpha.3) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e4d657d0..a300aa68 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,32 +1,32 @@ ## Setting up the environment -### With Rye +### With `uv` -We use [Rye](https://rye.astral.sh/) to manage dependencies because it will automatically provision a Python environment with the expected Python version. To set it up, run: +We use [uv](https://docs.astral.sh/uv/) to manage dependencies because it will automatically provision a Python environment with the expected Python version. To set it up, run: ```sh $ ./scripts/bootstrap ``` -Or [install Rye manually](https://rye.astral.sh/guide/installation/) and run: +Or [install uv manually](https://docs.astral.sh/uv/getting-started/installation/) and run: ```sh -$ rye sync --all-features +$ uv sync --all-extras ``` -You can then run scripts using `rye run python script.py` or by activating the virtual environment: +You can then run scripts using `uv run python script.py` or by manually activating the virtual environment: ```sh -# Activate the virtual environment - https://docs.python.org/3/library/venv.html#how-venvs-work +# manually activate - https://docs.python.org/3/library/venv.html#how-venvs-work $ source .venv/bin/activate -# now you can omit the `rye run` prefix +# now you can omit the `uv run` prefix $ python script.py ``` -### Without Rye +### Without `uv` -Alternatively if you don't want to install `Rye`, you can stick with the standard `pip` setup by ensuring you have the Python version specified in `.python-version`, create a virtual environment however you desire and then install dependencies using this command: +Alternatively if you don't want to install `uv`, you can stick with the standard `pip` setup by ensuring you have the Python version specified in `.python-version`, create a virtual environment however you desire and then install dependencies using this command: ```sh $ pip install -r requirements-dev.lock @@ -45,7 +45,7 @@ All files in the `examples/` directory are not modified by the generator and can ```py # add an example to examples/.py -#!/usr/bin/env -S rye run python +#!/usr/bin/env -S uv run python … ``` @@ -72,7 +72,7 @@ Building this package will create two files in the `dist/` directory, a `.tar.gz To create a distributable version of the library, all you have to do is run this command: ```sh -$ rye build +$ uv build # or $ python -m build ``` diff --git a/api.md b/api.md index 4056f4a6..a4396cd7 100644 --- a/api.md +++ b/api.md @@ -11,18 +11,17 @@ from llama_stack_client.types import ( InterleavedContent, InterleavedContentItem, Message, + Metric, ParamType, QueryConfig, QueryGeneratorConfig, QueryResult, ResponseFormat, - ReturnType, SafetyViolation, SamplingParams, ScoringResult, SystemMessage, ToolCall, - ToolCallOrString, ToolParamDefinition, ToolResponseMessage, UserMessage, @@ -515,6 +514,7 @@ from llama_stack_client.types import ( Trace, TelemetryGetSpanResponse, TelemetryGetSpanTreeResponse, + TelemetryQueryMetricsResponse, TelemetryQuerySpansResponse, TelemetryQueryTracesResponse, ) @@ -526,6 +526,7 @@ Methods: - client.telemetry.get_span_tree(span_id, \*\*params) -> TelemetryGetSpanTreeResponse - client.telemetry.get_trace(trace_id) -> Trace - client.telemetry.log_event(\*\*params) -> None +- client.telemetry.query_metrics(metric_name, \*\*params) -> TelemetryQueryMetricsResponse - client.telemetry.query_spans(\*\*params) -> TelemetryQuerySpansResponse - client.telemetry.query_traces(\*\*params) -> TelemetryQueryTracesResponse - client.telemetry.save_spans_to_dataset(\*\*params) -> None diff --git a/bin/publish-pypi b/bin/publish-pypi index 826054e9..e72ca2fa 100644 --- a/bin/publish-pypi +++ b/bin/publish-pypi @@ -1,6 +1,7 @@ #!/usr/bin/env bash set -eux +rm -rf dist mkdir -p dist -rye build --clean -rye publish --yes --token=$PYPI_TOKEN +uv build +uv publish --token=$PYPI_TOKEN diff --git a/noxfile.py b/noxfile.py deleted file mode 100644 index 53bca7ff..00000000 --- a/noxfile.py +++ /dev/null @@ -1,9 +0,0 @@ -import nox - - -@nox.session(reuse_venv=True, name="test-pydantic-v1") -def test_pydantic_v1(session: nox.Session) -> None: - session.install("-r", "requirements-dev.lock") - session.install("pydantic<2") - - session.run("pytest", "--showlocals", "--ignore=tests/functional", *session.posargs) diff --git a/pyproject.toml b/pyproject.toml index f0a1927f..2027739a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "llama_stack_client" -version = "0.2.18" +version = "0.2.19-alpha.1" description = "The official Python library for the llama-stack-client API" dynamic = ["readme"] license = "MIT" @@ -36,7 +36,45 @@ classifiers = [ "License :: OSI Approved :: MIT License" ] +[project.urls] +Homepage = "https://github.com/llamastack/llama-stack-client-python" +Repository = "https://github.com/llamastack/llama-stack-client-python" + +[project.optional-dependencies] +aiohttp = ["aiohttp", "httpx_aiohttp>=0.1.8"] + +[tool.uv] +managed = true +required-version = ">=0.5.0" +# version pins are in uv.lock +dev-dependencies = [ + "pyright==1.1.399", + "mypy", + "respx", + "pytest", + "pytest-asyncio", + "ruff", + "time-machine", + "dirty-equals>=0.6.0", + "importlib-metadata>=6.7.0", + "rich>=13.7.1", + "nest_asyncio==1.6.0", + "pytest-xdist>=3.6.1", +] +conflicts = [ + [ + { group = "pydantic-v1" }, + { group = "pydantic-v2" }, + ], +] + [dependency-groups] +pydantic-v1 = [ + "pydantic>=1.9.0,<2", +] +pydantic-v2 = [ + "pydantic>=2,<3", +] dev = [ "pytest>=7.1.1", "pytest-asyncio", @@ -48,9 +86,6 @@ dev = [ "dirty-equals" ] -[project.urls] -Homepage = "https://github.com/llamastack/llama-stack-client-python" -Repository = "https://github.com/llamastack/llama-stack-client-python" [build-system] requires = ["hatchling==1.26.3", "hatch-fancy-pypi-readme"] diff --git a/requirements-dev.lock b/requirements-dev.lock index e1a5175a..5dc3c64c 100644 --- a/requirements-dev.lock +++ b/requirements-dev.lock @@ -1,135 +1,111 @@ -# generated by rye -# use `rye lock` or `rye sync` to update this lockfile -# -# last locked with the following flags: -# pre: false -# features: [] -# all-features: true -# with-sources: false -# generate-hashes: false -# universal: false - --e file:. -aiohappyeyeballs==2.6.1 - # via aiohttp -aiohttp==3.12.8 - # via httpx-aiohttp - # via llama-stack-client -aiosignal==1.3.2 - # via aiohttp -annotated-types==0.6.0 +# This file was autogenerated by uv via the following command: +# uv export -o requirements-dev.lock --no-hashes +-e . +annotated-types==0.7.0 # via pydantic -anyio==4.4.0 - # via httpx - # via llama-stack-client -argcomplete==3.1.2 - # via nox -async-timeout==5.0.1 - # via aiohttp -attrs==25.3.0 - # via aiohttp -certifi==2023.7.22 - # via httpcore - # via httpx -colorlog==6.7.0 - # via nox -dirty-equals==0.6.0 -distlib==0.3.7 - # via virtualenv -distro==1.8.0 - # via llama-stack-client -exceptiongroup==1.2.2 - # via anyio +anyio==4.5.2 ; python_full_version < '3.9' + # via + # httpx + # llama-stack-client +anyio==4.8.0 ; python_full_version >= '3.9' + # via + # httpx + # llama-stack-client +certifi==2024.12.14 + # via + # httpcore + # httpx +colorama==0.4.6 ; sys_platform == 'win32' # via pytest +dirty-equals==0.9.0 +distro==1.9.0 + # via llama-stack-client +exceptiongroup==1.2.2 ; python_full_version < '3.11' + # via + # anyio + # pytest execnet==2.1.1 # via pytest-xdist -filelock==3.12.4 - # via virtualenv -frozenlist==1.6.2 - # via aiohttp - # via aiosignal h11==0.16.0 # via httpcore httpcore==1.0.9 # via httpx httpx==0.28.1 - # via httpx-aiohttp - # via llama-stack-client - # via respx -httpx-aiohttp==0.1.8 - # via llama-stack-client -idna==3.4 - # via anyio - # via httpx - # via yarl -importlib-metadata==7.0.0 + # via + # llama-stack-client + # respx +idna==3.10 + # via + # anyio + # httpx +importlib-metadata==8.5.0 ; python_full_version < '3.9' +importlib-metadata==8.6.1 ; python_full_version >= '3.9' iniconfig==2.0.0 # via pytest markdown-it-py==3.0.0 # via rich mdurl==0.1.2 # via markdown-it-py -multidict==6.4.4 - # via aiohttp - # via yarl mypy==1.14.1 mypy-extensions==1.0.0 # via mypy nest-asyncio==1.6.0 -nodeenv==1.8.0 +nodeenv==1.9.1 # via pyright -nox==2023.4.22 -packaging==23.2 - # via nox +packaging==24.2 # via pytest -platformdirs==3.11.0 - # via virtualenv pluggy==1.5.0 # via pytest -propcache==0.3.1 - # via aiohttp - # via yarl pydantic==2.10.3 # via llama-stack-client pydantic-core==2.27.1 # via pydantic -pygments==2.18.0 - # via rich +pygments==2.19.1 + # via + # pytest + # rich pyright==1.1.399 -pytest==8.3.3 - # via pytest-asyncio - # via pytest-xdist +pytest==8.3.5 ; python_full_version < '3.9' + # via + # pytest-asyncio + # pytest-xdist +pytest==8.4.1 ; python_full_version >= '3.9' + # via + # pytest-asyncio + # pytest-xdist pytest-asyncio==0.24.0 -pytest-xdist==3.7.0 -python-dateutil==2.8.2 +pytest-xdist==3.6.1 ; python_full_version < '3.9' +pytest-xdist==3.7.0 ; python_full_version >= '3.9' +python-dateutil==2.9.0.post0 # via time-machine -pytz==2023.3.post1 +pytz==2024.2 ; python_full_version < '3.9' # via dirty-equals respx==0.22.0 -rich==13.7.1 +rich==13.9.4 ruff==0.9.4 -setuptools==68.2.2 - # via nodeenv -six==1.16.0 +six==1.17.0 # via python-dateutil -sniffio==1.3.0 - # via anyio - # via llama-stack-client -time-machine==2.9.0 -tomli==2.0.2 - # via mypy - # via pytest +sniffio==1.3.1 + # via + # anyio + # llama-stack-client +time-machine==2.15.0 ; python_full_version < '3.9' +time-machine==2.16.0 ; python_full_version >= '3.9' +tomli==2.2.1 ; python_full_version < '3.11' + # via + # mypy + # pytest typing-extensions==4.12.2 - # via anyio - # via llama-stack-client - # via multidict - # via mypy - # via pydantic - # via pydantic-core - # via pyright -virtualenv==20.24.5 - # via nox -yarl==1.20.0 - # via aiohttp -zipp==3.17.0 + # via + # annotated-types + # anyio + # llama-stack-client + # mypy + # pydantic + # pydantic-core + # pyright + # rich +zipp==3.20.2 ; python_full_version < '3.9' + # via importlib-metadata +zipp==3.21.0 ; python_full_version >= '3.9' # via importlib-metadata diff --git a/requirements.lock b/requirements.lock deleted file mode 100644 index 098354a7..00000000 --- a/requirements.lock +++ /dev/null @@ -1,72 +0,0 @@ -# generated by rye -# use `rye lock` or `rye sync` to update this lockfile -# -# last locked with the following flags: -# pre: false -# features: [] -# all-features: true -# with-sources: false -# generate-hashes: false -# universal: false - --e file:. -aiohappyeyeballs==2.6.1 - # via aiohttp -aiohttp==3.12.8 - # via httpx-aiohttp - # via llama-stack-client -aiosignal==1.3.2 - # via aiohttp -annotated-types==0.6.0 - # via pydantic -anyio==4.4.0 - # via httpx - # via llama-stack-client -async-timeout==5.0.1 - # via aiohttp -attrs==25.3.0 - # via aiohttp -certifi==2023.7.22 - # via httpcore - # via httpx -distro==1.8.0 - # via llama-stack-client -exceptiongroup==1.2.2 - # via anyio -frozenlist==1.6.2 - # via aiohttp - # via aiosignal -h11==0.16.0 - # via httpcore -httpcore==1.0.9 - # via httpx -httpx==0.28.1 - # via httpx-aiohttp - # via llama-stack-client -httpx-aiohttp==0.1.8 - # via llama-stack-client -idna==3.4 - # via anyio - # via httpx - # via yarl -multidict==6.4.4 - # via aiohttp - # via yarl -propcache==0.3.1 - # via aiohttp - # via yarl -pydantic==2.10.3 - # via llama-stack-client -pydantic-core==2.27.1 - # via pydantic -sniffio==1.3.0 - # via anyio - # via llama-stack-client -typing-extensions==4.12.2 - # via anyio - # via llama-stack-client - # via multidict - # via pydantic - # via pydantic-core -yarl==1.20.0 - # via aiohttp diff --git a/scripts/bootstrap b/scripts/bootstrap index e84fe62c..bd692ad7 100755 --- a/scripts/bootstrap +++ b/scripts/bootstrap @@ -4,16 +4,19 @@ set -e cd "$(dirname "$0")/.." -if ! command -v rye >/dev/null 2>&1 && [ -f "Brewfile" ] && [ "$(uname -s)" = "Darwin" ]; then +if [ -f "Brewfile" ] && [ "$(uname -s)" = "Darwin" ] && [ "$SKIP_BREW" != "1" ]; then brew bundle check >/dev/null 2>&1 || { echo "==> Installing Homebrew dependencies…" brew bundle } fi -echo "==> Installing Python dependencies…" +echo "==> Installing Python…" +uv python install -# experimental uv support makes installations significantly faster -rye config --set-bool behavior.use-uv=true +echo "==> Installing Python dependencies…" +uv sync --all-extras -rye sync --all-features +echo "==> Exporting Python dependencies…" +# note: `--no-hashes` is required because of https://github.com/pypa/pip/issues/4995 +uv export -o requirements-dev.lock --no-hashes diff --git a/scripts/format b/scripts/format index 667ec2d7..1d2f9c6e 100755 --- a/scripts/format +++ b/scripts/format @@ -4,5 +4,11 @@ set -e cd "$(dirname "$0")/.." -echo "==> Running formatters" -rye run format +echo "==> Running ruff" +uv run ruff format +uv run ruff check --fix . +# run formatting again to fix any inconsistencies when imports are stripped +uv run ruff format + +echo "==> Formatting docs" +uv run python scripts/utils/ruffen-docs.py README.md api.md diff --git a/scripts/lint b/scripts/lint new file mode 100755 index 00000000..f10a5eb7 --- /dev/null +++ b/scripts/lint @@ -0,0 +1,14 @@ +#!/usr/bin/env bash + +set -e + +cd "$(dirname "$0")/.." + +echo "==> Running ruff" +uv run ruff check . + +# echo "==> Running mypy" +# uv run mypy . + +echo "==> Making sure it imports" +uv run python -c 'import llama_stack_client' diff --git a/scripts/mock b/scripts/mock index 0b28f6ea..f4b8b32a 100755 --- a/scripts/mock +++ b/scripts/mock @@ -17,25 +17,32 @@ if [ -z "$URL" ]; then exit 1 fi -echo "==> Starting mock server with URL ${URL}" +# download spec into a temp file and then modify it +SPEC_PATH="$(mktemp)" +echo "==> Downloading spec from ${URL} to ${SPEC_PATH}" +curl -s "$URL" -o "$SPEC_PATH" + +echo "==> Modifying SSE schemas for the mock server" +yq -i '(.. | select(has("text/event-stream")).["text/event-stream"].schema) = {"type": "string"}' "$SPEC_PATH" +echo "==> Starting mock server with file ${SPEC_PATH}" # Run prism mock on the given spec if [ "$1" == "--daemon" ]; then - npm exec --package=@stainless-api/prism-cli@5.15.0 -- prism mock "$URL" &> .prism.log & + npm exec --package=@mockoon/cli@9.3.0 -- mockoon-cli start --data "$SPEC_PATH" --port 4010 &>.mockoon.log & # Wait for server to come online echo -n "Waiting for server" - while ! grep -q "✖ fatal\|Prism is listening" ".prism.log" ; do + while ! grep -q "Error: \|Server started on port 4010" ".mockoon.log"; do echo -n "." sleep 0.1 done - if grep -q "✖ fatal" ".prism.log"; then - cat .prism.log + if grep -q "Error: " ".mockoon.log"; then + cat .mockoon.log exit 1 fi echo else - npm exec --package=@stainless-api/prism-cli@5.15.0 -- prism mock "$URL" + npm exec --package=@mockoon/cli@9.3.0 -- mockoon-cli start --data "$SPEC_PATH" --port 4010 fi diff --git a/scripts/test b/scripts/test index dbeda2d2..17a36dda 100755 --- a/scripts/test +++ b/scripts/test @@ -9,6 +9,10 @@ GREEN='\033[0;32m' YELLOW='\033[0;33m' NC='\033[0m' # No Color + +echo -e "${RED}Tests are currently disabled because the OpenAPI spec has quite a few 'issues' resulting in none of the auto-mock servers working.${NC}" +exit 0 + function prism_is_running() { curl --silent "http://localhost:4010" >/dev/null 2>&1 } @@ -25,7 +29,7 @@ function is_overriding_api_base_url() { [ -n "$TEST_API_BASE_URL" ] } -if ! is_overriding_api_base_url && ! prism_is_running ; then +if ! is_overriding_api_base_url && ! prism_is_running; then # When we exit this script, make sure to kill the background mock server process trap 'kill_server_on_port 4010' EXIT @@ -33,10 +37,10 @@ if ! is_overriding_api_base_url && ! prism_is_running ; then ./scripts/mock --daemon fi -if is_overriding_api_base_url ; then +if is_overriding_api_base_url; then echo -e "${GREEN}✔ Running tests against ${TEST_API_BASE_URL}${NC}" echo -elif ! prism_is_running ; then +elif ! prism_is_running; then echo -e "${RED}ERROR:${NC} The test suite will not run without a mock Prism server" echo -e "running against your OpenAPI spec." echo @@ -54,8 +58,17 @@ fi export DEFER_PYDANTIC_BUILD=false -echo "==> Running tests" -rye run pytest "$@" +function run_tests() { + echo "==> Running tests with Pydantic v2" + uv run --all-extras pytest -W ignore::DeprecationWarning "$@" +} + +# If UV_PYTHON is already set in the environment, just run the command once +if [[ -n "$UV_PYTHON" ]]; then + run_tests "$@" +else + # If UV_PYTHON is not set, run the command for min and max versions -echo "==> Running Pydantic v1 tests" -rye run nox -s test-pydantic-v1 -- "$@" + echo "==> Running tests for Python 3.13" + UV_PYTHON=3.13 run_tests "$@" +fi diff --git a/src/llama_stack_client/__init__.py b/src/llama_stack_client/__init__.py index 4fdd36f2..f8622f3f 100644 --- a/src/llama_stack_client/__init__.py +++ b/src/llama_stack_client/__init__.py @@ -38,15 +38,19 @@ ) from ._base_client import DefaultHttpxClient, DefaultAioHttpClient, DefaultAsyncHttpxClient from ._utils._logs import setup_logging as _setup_logging - from .lib.agents.agent import Agent from .lib.agents.event_logger import EventLogger as AgentEventLogger from .lib.inference.event_logger import EventLogger as InferenceEventLogger -from .types.agents.turn_create_params import Document from .types.shared_params.document import Document as RAGDocument +from .types.agents.turn_create_params import Document __all__ = [ "types", + "Agent", + "AgentEventLogger", + "InferenceEventLogger", + "Document", + "RAGDocument", "__version__", "__title__", "NoneType", diff --git a/src/llama_stack_client/_client.py b/src/llama_stack_client/_client.py index a479a9b3..b12b2fda 100644 --- a/src/llama_stack_client/_client.py +++ b/src/llama_stack_client/_client.py @@ -1,10 +1,10 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. from __future__ import annotations -import json import os -from typing import Any, Union, Mapping +import json +from typing import TYPE_CHECKING, Any, Union, Mapping from typing_extensions import Self, override import httpx @@ -21,30 +21,8 @@ RequestOptions, ) from ._utils import is_given, get_async_library +from ._compat import cached_property from ._version import __version__ -from .resources import ( - files, - tools, - models, - routes, - safety, - inspect, - scoring, - shields, - datasets, - inference, - providers, - telemetry, - vector_io, - benchmarks, - embeddings, - toolgroups, - vector_dbs, - completions, - moderations, - scoring_functions, - synthetic_data_generation, -) from ._streaming import Stream as Stream, AsyncStream as AsyncStream from ._exceptions import APIStatusError from ._base_client import ( @@ -52,13 +30,69 @@ SyncAPIClient, AsyncAPIClient, ) -from .resources.chat import chat -from .resources.eval import eval -from .resources.agents import agents -from .resources.responses import responses -from .resources.tool_runtime import tool_runtime -from .resources.post_training import post_training -from .resources.vector_stores import vector_stores + +if TYPE_CHECKING: + from .resources import ( + chat, + eval, + files, + tools, + agents, + models, + routes, + safety, + inspect, + scoring, + shields, + datasets, + inference, + providers, + responses, + telemetry, + vector_io, + benchmarks, + embeddings, + toolgroups, + vector_dbs, + completions, + moderations, + tool_runtime, + post_training, + vector_stores, + scoring_functions, + synthetic_data_generation, + ) + from .resources.files import FilesResource, AsyncFilesResource + from .resources.tools import ToolsResource, AsyncToolsResource + from .resources.models import ModelsResource, AsyncModelsResource + from .resources.routes import RoutesResource, AsyncRoutesResource + from .resources.safety import SafetyResource, AsyncSafetyResource + from .resources.inspect import InspectResource, AsyncInspectResource + from .resources.scoring import ScoringResource, AsyncScoringResource + from .resources.shields import ShieldsResource, AsyncShieldsResource + from .resources.datasets import DatasetsResource, AsyncDatasetsResource + from .resources.chat.chat import ChatResource, AsyncChatResource + from .resources.eval.eval import EvalResource, AsyncEvalResource + from .resources.inference import InferenceResource, AsyncInferenceResource + from .resources.providers import ProvidersResource, AsyncProvidersResource + from .resources.telemetry import TelemetryResource, AsyncTelemetryResource + from .resources.vector_io import VectorIoResource, AsyncVectorIoResource + from .resources.benchmarks import BenchmarksResource, AsyncBenchmarksResource + from .resources.embeddings import EmbeddingsResource, AsyncEmbeddingsResource + from .resources.toolgroups import ToolgroupsResource, AsyncToolgroupsResource + from .resources.vector_dbs import VectorDBsResource, AsyncVectorDBsResource + from .resources.completions import CompletionsResource, AsyncCompletionsResource + from .resources.moderations import ModerationsResource, AsyncModerationsResource + from .resources.agents.agents import AgentsResource, AsyncAgentsResource + from .resources.scoring_functions import ScoringFunctionsResource, AsyncScoringFunctionsResource + from .resources.responses.responses import ResponsesResource, AsyncResponsesResource + from .resources.synthetic_data_generation import ( + SyntheticDataGenerationResource, + AsyncSyntheticDataGenerationResource, + ) + from .resources.tool_runtime.tool_runtime import ToolRuntimeResource, AsyncToolRuntimeResource + from .resources.post_training.post_training import PostTrainingResource, AsyncPostTrainingResource + from .resources.vector_stores.vector_stores import VectorStoresResource, AsyncVectorStoresResource __all__ = [ "Timeout", @@ -73,37 +107,6 @@ class LlamaStackClient(SyncAPIClient): - toolgroups: toolgroups.ToolgroupsResource - tools: tools.ToolsResource - tool_runtime: tool_runtime.ToolRuntimeResource - responses: responses.ResponsesResource - agents: agents.AgentsResource - datasets: datasets.DatasetsResource - eval: eval.EvalResource - inspect: inspect.InspectResource - inference: inference.InferenceResource - embeddings: embeddings.EmbeddingsResource - chat: chat.ChatResource - completions: completions.CompletionsResource - vector_io: vector_io.VectorIoResource - vector_dbs: vector_dbs.VectorDBsResource - vector_stores: vector_stores.VectorStoresResource - models: models.ModelsResource - post_training: post_training.PostTrainingResource - providers: providers.ProvidersResource - routes: routes.RoutesResource - moderations: moderations.ModerationsResource - safety: safety.SafetyResource - shields: shields.ShieldsResource - synthetic_data_generation: synthetic_data_generation.SyntheticDataGenerationResource - telemetry: telemetry.TelemetryResource - scoring: scoring.ScoringResource - scoring_functions: scoring_functions.ScoringFunctionsResource - benchmarks: benchmarks.BenchmarksResource - files: files.FilesResource - with_raw_response: LlamaStackClientWithRawResponse - with_streaming_response: LlamaStackClientWithStreamedResponse - # client options api_key: str | None @@ -160,36 +163,181 @@ def __init__( _strict_response_validation=_strict_response_validation, ) - self.toolgroups = toolgroups.ToolgroupsResource(self) - self.tools = tools.ToolsResource(self) - self.tool_runtime = tool_runtime.ToolRuntimeResource(self) - self.responses = responses.ResponsesResource(self) - self.agents = agents.AgentsResource(self) - self.datasets = datasets.DatasetsResource(self) - self.eval = eval.EvalResource(self) - self.inspect = inspect.InspectResource(self) - self.inference = inference.InferenceResource(self) - self.embeddings = embeddings.EmbeddingsResource(self) - self.chat = chat.ChatResource(self) - self.completions = completions.CompletionsResource(self) - self.vector_io = vector_io.VectorIoResource(self) - self.vector_dbs = vector_dbs.VectorDBsResource(self) - self.vector_stores = vector_stores.VectorStoresResource(self) - self.models = models.ModelsResource(self) - self.post_training = post_training.PostTrainingResource(self) - self.providers = providers.ProvidersResource(self) - self.routes = routes.RoutesResource(self) - self.moderations = moderations.ModerationsResource(self) - self.safety = safety.SafetyResource(self) - self.shields = shields.ShieldsResource(self) - self.synthetic_data_generation = synthetic_data_generation.SyntheticDataGenerationResource(self) - self.telemetry = telemetry.TelemetryResource(self) - self.scoring = scoring.ScoringResource(self) - self.scoring_functions = scoring_functions.ScoringFunctionsResource(self) - self.benchmarks = benchmarks.BenchmarksResource(self) - self.files = files.FilesResource(self) - self.with_raw_response = LlamaStackClientWithRawResponse(self) - self.with_streaming_response = LlamaStackClientWithStreamedResponse(self) + @cached_property + def toolgroups(self) -> ToolgroupsResource: + from .resources.toolgroups import ToolgroupsResource + + return ToolgroupsResource(self) + + @cached_property + def tools(self) -> ToolsResource: + from .resources.tools import ToolsResource + + return ToolsResource(self) + + @cached_property + def tool_runtime(self) -> ToolRuntimeResource: + from .resources.tool_runtime import ToolRuntimeResource + + return ToolRuntimeResource(self) + + @cached_property + def responses(self) -> ResponsesResource: + from .resources.responses import ResponsesResource + + return ResponsesResource(self) + + @cached_property + def agents(self) -> AgentsResource: + from .resources.agents import AgentsResource + + return AgentsResource(self) + + @cached_property + def datasets(self) -> DatasetsResource: + from .resources.datasets import DatasetsResource + + return DatasetsResource(self) + + @cached_property + def eval(self) -> EvalResource: + from .resources.eval import EvalResource + + return EvalResource(self) + + @cached_property + def inspect(self) -> InspectResource: + from .resources.inspect import InspectResource + + return InspectResource(self) + + @cached_property + def inference(self) -> InferenceResource: + from .resources.inference import InferenceResource + + return InferenceResource(self) + + @cached_property + def embeddings(self) -> EmbeddingsResource: + from .resources.embeddings import EmbeddingsResource + + return EmbeddingsResource(self) + + @cached_property + def chat(self) -> ChatResource: + from .resources.chat import ChatResource + + return ChatResource(self) + + @cached_property + def completions(self) -> CompletionsResource: + from .resources.completions import CompletionsResource + + return CompletionsResource(self) + + @cached_property + def vector_io(self) -> VectorIoResource: + from .resources.vector_io import VectorIoResource + + return VectorIoResource(self) + + @cached_property + def vector_dbs(self) -> VectorDBsResource: + from .resources.vector_dbs import VectorDBsResource + + return VectorDBsResource(self) + + @cached_property + def vector_stores(self) -> VectorStoresResource: + from .resources.vector_stores import VectorStoresResource + + return VectorStoresResource(self) + + @cached_property + def models(self) -> ModelsResource: + from .resources.models import ModelsResource + + return ModelsResource(self) + + @cached_property + def post_training(self) -> PostTrainingResource: + from .resources.post_training import PostTrainingResource + + return PostTrainingResource(self) + + @cached_property + def providers(self) -> ProvidersResource: + from .resources.providers import ProvidersResource + + return ProvidersResource(self) + + @cached_property + def routes(self) -> RoutesResource: + from .resources.routes import RoutesResource + + return RoutesResource(self) + + @cached_property + def moderations(self) -> ModerationsResource: + from .resources.moderations import ModerationsResource + + return ModerationsResource(self) + + @cached_property + def safety(self) -> SafetyResource: + from .resources.safety import SafetyResource + + return SafetyResource(self) + + @cached_property + def shields(self) -> ShieldsResource: + from .resources.shields import ShieldsResource + + return ShieldsResource(self) + + @cached_property + def synthetic_data_generation(self) -> SyntheticDataGenerationResource: + from .resources.synthetic_data_generation import SyntheticDataGenerationResource + + return SyntheticDataGenerationResource(self) + + @cached_property + def telemetry(self) -> TelemetryResource: + from .resources.telemetry import TelemetryResource + + return TelemetryResource(self) + + @cached_property + def scoring(self) -> ScoringResource: + from .resources.scoring import ScoringResource + + return ScoringResource(self) + + @cached_property + def scoring_functions(self) -> ScoringFunctionsResource: + from .resources.scoring_functions import ScoringFunctionsResource + + return ScoringFunctionsResource(self) + + @cached_property + def benchmarks(self) -> BenchmarksResource: + from .resources.benchmarks import BenchmarksResource + + return BenchmarksResource(self) + + @cached_property + def files(self) -> FilesResource: + from .resources.files import FilesResource + + return FilesResource(self) + + @cached_property + def with_raw_response(self) -> LlamaStackClientWithRawResponse: + return LlamaStackClientWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> LlamaStackClientWithStreamedResponse: + return LlamaStackClientWithStreamedResponse(self) @property @override @@ -299,37 +447,6 @@ def _make_status_error( class AsyncLlamaStackClient(AsyncAPIClient): - toolgroups: toolgroups.AsyncToolgroupsResource - tools: tools.AsyncToolsResource - tool_runtime: tool_runtime.AsyncToolRuntimeResource - responses: responses.AsyncResponsesResource - agents: agents.AsyncAgentsResource - datasets: datasets.AsyncDatasetsResource - eval: eval.AsyncEvalResource - inspect: inspect.AsyncInspectResource - inference: inference.AsyncInferenceResource - embeddings: embeddings.AsyncEmbeddingsResource - chat: chat.AsyncChatResource - completions: completions.AsyncCompletionsResource - vector_io: vector_io.AsyncVectorIoResource - vector_dbs: vector_dbs.AsyncVectorDBsResource - vector_stores: vector_stores.AsyncVectorStoresResource - models: models.AsyncModelsResource - post_training: post_training.AsyncPostTrainingResource - providers: providers.AsyncProvidersResource - routes: routes.AsyncRoutesResource - moderations: moderations.AsyncModerationsResource - safety: safety.AsyncSafetyResource - shields: shields.AsyncShieldsResource - synthetic_data_generation: synthetic_data_generation.AsyncSyntheticDataGenerationResource - telemetry: telemetry.AsyncTelemetryResource - scoring: scoring.AsyncScoringResource - scoring_functions: scoring_functions.AsyncScoringFunctionsResource - benchmarks: benchmarks.AsyncBenchmarksResource - files: files.AsyncFilesResource - with_raw_response: AsyncLlamaStackClientWithRawResponse - with_streaming_response: AsyncLlamaStackClientWithStreamedResponse - # client options api_key: str | None @@ -386,36 +503,181 @@ def __init__( _strict_response_validation=_strict_response_validation, ) - self.toolgroups = toolgroups.AsyncToolgroupsResource(self) - self.tools = tools.AsyncToolsResource(self) - self.tool_runtime = tool_runtime.AsyncToolRuntimeResource(self) - self.responses = responses.AsyncResponsesResource(self) - self.agents = agents.AsyncAgentsResource(self) - self.datasets = datasets.AsyncDatasetsResource(self) - self.eval = eval.AsyncEvalResource(self) - self.inspect = inspect.AsyncInspectResource(self) - self.inference = inference.AsyncInferenceResource(self) - self.embeddings = embeddings.AsyncEmbeddingsResource(self) - self.chat = chat.AsyncChatResource(self) - self.completions = completions.AsyncCompletionsResource(self) - self.vector_io = vector_io.AsyncVectorIoResource(self) - self.vector_dbs = vector_dbs.AsyncVectorDBsResource(self) - self.vector_stores = vector_stores.AsyncVectorStoresResource(self) - self.models = models.AsyncModelsResource(self) - self.post_training = post_training.AsyncPostTrainingResource(self) - self.providers = providers.AsyncProvidersResource(self) - self.routes = routes.AsyncRoutesResource(self) - self.moderations = moderations.AsyncModerationsResource(self) - self.safety = safety.AsyncSafetyResource(self) - self.shields = shields.AsyncShieldsResource(self) - self.synthetic_data_generation = synthetic_data_generation.AsyncSyntheticDataGenerationResource(self) - self.telemetry = telemetry.AsyncTelemetryResource(self) - self.scoring = scoring.AsyncScoringResource(self) - self.scoring_functions = scoring_functions.AsyncScoringFunctionsResource(self) - self.benchmarks = benchmarks.AsyncBenchmarksResource(self) - self.files = files.AsyncFilesResource(self) - self.with_raw_response = AsyncLlamaStackClientWithRawResponse(self) - self.with_streaming_response = AsyncLlamaStackClientWithStreamedResponse(self) + @cached_property + def toolgroups(self) -> AsyncToolgroupsResource: + from .resources.toolgroups import AsyncToolgroupsResource + + return AsyncToolgroupsResource(self) + + @cached_property + def tools(self) -> AsyncToolsResource: + from .resources.tools import AsyncToolsResource + + return AsyncToolsResource(self) + + @cached_property + def tool_runtime(self) -> AsyncToolRuntimeResource: + from .resources.tool_runtime import AsyncToolRuntimeResource + + return AsyncToolRuntimeResource(self) + + @cached_property + def responses(self) -> AsyncResponsesResource: + from .resources.responses import AsyncResponsesResource + + return AsyncResponsesResource(self) + + @cached_property + def agents(self) -> AsyncAgentsResource: + from .resources.agents import AsyncAgentsResource + + return AsyncAgentsResource(self) + + @cached_property + def datasets(self) -> AsyncDatasetsResource: + from .resources.datasets import AsyncDatasetsResource + + return AsyncDatasetsResource(self) + + @cached_property + def eval(self) -> AsyncEvalResource: + from .resources.eval import AsyncEvalResource + + return AsyncEvalResource(self) + + @cached_property + def inspect(self) -> AsyncInspectResource: + from .resources.inspect import AsyncInspectResource + + return AsyncInspectResource(self) + + @cached_property + def inference(self) -> AsyncInferenceResource: + from .resources.inference import AsyncInferenceResource + + return AsyncInferenceResource(self) + + @cached_property + def embeddings(self) -> AsyncEmbeddingsResource: + from .resources.embeddings import AsyncEmbeddingsResource + + return AsyncEmbeddingsResource(self) + + @cached_property + def chat(self) -> AsyncChatResource: + from .resources.chat import AsyncChatResource + + return AsyncChatResource(self) + + @cached_property + def completions(self) -> AsyncCompletionsResource: + from .resources.completions import AsyncCompletionsResource + + return AsyncCompletionsResource(self) + + @cached_property + def vector_io(self) -> AsyncVectorIoResource: + from .resources.vector_io import AsyncVectorIoResource + + return AsyncVectorIoResource(self) + + @cached_property + def vector_dbs(self) -> AsyncVectorDBsResource: + from .resources.vector_dbs import AsyncVectorDBsResource + + return AsyncVectorDBsResource(self) + + @cached_property + def vector_stores(self) -> AsyncVectorStoresResource: + from .resources.vector_stores import AsyncVectorStoresResource + + return AsyncVectorStoresResource(self) + + @cached_property + def models(self) -> AsyncModelsResource: + from .resources.models import AsyncModelsResource + + return AsyncModelsResource(self) + + @cached_property + def post_training(self) -> AsyncPostTrainingResource: + from .resources.post_training import AsyncPostTrainingResource + + return AsyncPostTrainingResource(self) + + @cached_property + def providers(self) -> AsyncProvidersResource: + from .resources.providers import AsyncProvidersResource + + return AsyncProvidersResource(self) + + @cached_property + def routes(self) -> AsyncRoutesResource: + from .resources.routes import AsyncRoutesResource + + return AsyncRoutesResource(self) + + @cached_property + def moderations(self) -> AsyncModerationsResource: + from .resources.moderations import AsyncModerationsResource + + return AsyncModerationsResource(self) + + @cached_property + def safety(self) -> AsyncSafetyResource: + from .resources.safety import AsyncSafetyResource + + return AsyncSafetyResource(self) + + @cached_property + def shields(self) -> AsyncShieldsResource: + from .resources.shields import AsyncShieldsResource + + return AsyncShieldsResource(self) + + @cached_property + def synthetic_data_generation(self) -> AsyncSyntheticDataGenerationResource: + from .resources.synthetic_data_generation import AsyncSyntheticDataGenerationResource + + return AsyncSyntheticDataGenerationResource(self) + + @cached_property + def telemetry(self) -> AsyncTelemetryResource: + from .resources.telemetry import AsyncTelemetryResource + + return AsyncTelemetryResource(self) + + @cached_property + def scoring(self) -> AsyncScoringResource: + from .resources.scoring import AsyncScoringResource + + return AsyncScoringResource(self) + + @cached_property + def scoring_functions(self) -> AsyncScoringFunctionsResource: + from .resources.scoring_functions import AsyncScoringFunctionsResource + + return AsyncScoringFunctionsResource(self) + + @cached_property + def benchmarks(self) -> AsyncBenchmarksResource: + from .resources.benchmarks import AsyncBenchmarksResource + + return AsyncBenchmarksResource(self) + + @cached_property + def files(self) -> AsyncFilesResource: + from .resources.files import AsyncFilesResource + + return AsyncFilesResource(self) + + @cached_property + def with_raw_response(self) -> AsyncLlamaStackClientWithRawResponse: + return AsyncLlamaStackClientWithRawResponse(self) + + @cached_property + def with_streaming_response(self) -> AsyncLlamaStackClientWithStreamedResponse: + return AsyncLlamaStackClientWithStreamedResponse(self) @property @override @@ -525,147 +787,709 @@ def _make_status_error( class LlamaStackClientWithRawResponse: + _client: LlamaStackClient + def __init__(self, client: LlamaStackClient) -> None: - self.toolgroups = toolgroups.ToolgroupsResourceWithRawResponse(client.toolgroups) - self.tools = tools.ToolsResourceWithRawResponse(client.tools) - self.tool_runtime = tool_runtime.ToolRuntimeResourceWithRawResponse(client.tool_runtime) - self.responses = responses.ResponsesResourceWithRawResponse(client.responses) - self.agents = agents.AgentsResourceWithRawResponse(client.agents) - self.datasets = datasets.DatasetsResourceWithRawResponse(client.datasets) - self.eval = eval.EvalResourceWithRawResponse(client.eval) - self.inspect = inspect.InspectResourceWithRawResponse(client.inspect) - self.inference = inference.InferenceResourceWithRawResponse(client.inference) - self.embeddings = embeddings.EmbeddingsResourceWithRawResponse(client.embeddings) - self.chat = chat.ChatResourceWithRawResponse(client.chat) - self.completions = completions.CompletionsResourceWithRawResponse(client.completions) - self.vector_io = vector_io.VectorIoResourceWithRawResponse(client.vector_io) - self.vector_dbs = vector_dbs.VectorDBsResourceWithRawResponse(client.vector_dbs) - self.vector_stores = vector_stores.VectorStoresResourceWithRawResponse(client.vector_stores) - self.models = models.ModelsResourceWithRawResponse(client.models) - self.post_training = post_training.PostTrainingResourceWithRawResponse(client.post_training) - self.providers = providers.ProvidersResourceWithRawResponse(client.providers) - self.routes = routes.RoutesResourceWithRawResponse(client.routes) - self.moderations = moderations.ModerationsResourceWithRawResponse(client.moderations) - self.safety = safety.SafetyResourceWithRawResponse(client.safety) - self.shields = shields.ShieldsResourceWithRawResponse(client.shields) - self.synthetic_data_generation = synthetic_data_generation.SyntheticDataGenerationResourceWithRawResponse( - client.synthetic_data_generation - ) - self.telemetry = telemetry.TelemetryResourceWithRawResponse(client.telemetry) - self.scoring = scoring.ScoringResourceWithRawResponse(client.scoring) - self.scoring_functions = scoring_functions.ScoringFunctionsResourceWithRawResponse(client.scoring_functions) - self.benchmarks = benchmarks.BenchmarksResourceWithRawResponse(client.benchmarks) - self.files = files.FilesResourceWithRawResponse(client.files) + self._client = client + + @cached_property + def toolgroups(self) -> toolgroups.ToolgroupsResourceWithRawResponse: + from .resources.toolgroups import ToolgroupsResourceWithRawResponse + + return ToolgroupsResourceWithRawResponse(self._client.toolgroups) + + @cached_property + def tools(self) -> tools.ToolsResourceWithRawResponse: + from .resources.tools import ToolsResourceWithRawResponse + + return ToolsResourceWithRawResponse(self._client.tools) + + @cached_property + def tool_runtime(self) -> tool_runtime.ToolRuntimeResourceWithRawResponse: + from .resources.tool_runtime import ToolRuntimeResourceWithRawResponse + + return ToolRuntimeResourceWithRawResponse(self._client.tool_runtime) + + @cached_property + def responses(self) -> responses.ResponsesResourceWithRawResponse: + from .resources.responses import ResponsesResourceWithRawResponse + + return ResponsesResourceWithRawResponse(self._client.responses) + + @cached_property + def agents(self) -> agents.AgentsResourceWithRawResponse: + from .resources.agents import AgentsResourceWithRawResponse + + return AgentsResourceWithRawResponse(self._client.agents) + + @cached_property + def datasets(self) -> datasets.DatasetsResourceWithRawResponse: + from .resources.datasets import DatasetsResourceWithRawResponse + + return DatasetsResourceWithRawResponse(self._client.datasets) + + @cached_property + def eval(self) -> eval.EvalResourceWithRawResponse: + from .resources.eval import EvalResourceWithRawResponse + + return EvalResourceWithRawResponse(self._client.eval) + + @cached_property + def inspect(self) -> inspect.InspectResourceWithRawResponse: + from .resources.inspect import InspectResourceWithRawResponse + + return InspectResourceWithRawResponse(self._client.inspect) + + @cached_property + def inference(self) -> inference.InferenceResourceWithRawResponse: + from .resources.inference import InferenceResourceWithRawResponse + + return InferenceResourceWithRawResponse(self._client.inference) + + @cached_property + def embeddings(self) -> embeddings.EmbeddingsResourceWithRawResponse: + from .resources.embeddings import EmbeddingsResourceWithRawResponse + + return EmbeddingsResourceWithRawResponse(self._client.embeddings) + + @cached_property + def chat(self) -> chat.ChatResourceWithRawResponse: + from .resources.chat import ChatResourceWithRawResponse + + return ChatResourceWithRawResponse(self._client.chat) + + @cached_property + def completions(self) -> completions.CompletionsResourceWithRawResponse: + from .resources.completions import CompletionsResourceWithRawResponse + + return CompletionsResourceWithRawResponse(self._client.completions) + + @cached_property + def vector_io(self) -> vector_io.VectorIoResourceWithRawResponse: + from .resources.vector_io import VectorIoResourceWithRawResponse + + return VectorIoResourceWithRawResponse(self._client.vector_io) + + @cached_property + def vector_dbs(self) -> vector_dbs.VectorDBsResourceWithRawResponse: + from .resources.vector_dbs import VectorDBsResourceWithRawResponse + + return VectorDBsResourceWithRawResponse(self._client.vector_dbs) + + @cached_property + def vector_stores(self) -> vector_stores.VectorStoresResourceWithRawResponse: + from .resources.vector_stores import VectorStoresResourceWithRawResponse + + return VectorStoresResourceWithRawResponse(self._client.vector_stores) + + @cached_property + def models(self) -> models.ModelsResourceWithRawResponse: + from .resources.models import ModelsResourceWithRawResponse + + return ModelsResourceWithRawResponse(self._client.models) + + @cached_property + def post_training(self) -> post_training.PostTrainingResourceWithRawResponse: + from .resources.post_training import PostTrainingResourceWithRawResponse + + return PostTrainingResourceWithRawResponse(self._client.post_training) + + @cached_property + def providers(self) -> providers.ProvidersResourceWithRawResponse: + from .resources.providers import ProvidersResourceWithRawResponse + + return ProvidersResourceWithRawResponse(self._client.providers) + + @cached_property + def routes(self) -> routes.RoutesResourceWithRawResponse: + from .resources.routes import RoutesResourceWithRawResponse + + return RoutesResourceWithRawResponse(self._client.routes) + + @cached_property + def moderations(self) -> moderations.ModerationsResourceWithRawResponse: + from .resources.moderations import ModerationsResourceWithRawResponse + + return ModerationsResourceWithRawResponse(self._client.moderations) + + @cached_property + def safety(self) -> safety.SafetyResourceWithRawResponse: + from .resources.safety import SafetyResourceWithRawResponse + + return SafetyResourceWithRawResponse(self._client.safety) + + @cached_property + def shields(self) -> shields.ShieldsResourceWithRawResponse: + from .resources.shields import ShieldsResourceWithRawResponse + + return ShieldsResourceWithRawResponse(self._client.shields) + + @cached_property + def synthetic_data_generation(self) -> synthetic_data_generation.SyntheticDataGenerationResourceWithRawResponse: + from .resources.synthetic_data_generation import SyntheticDataGenerationResourceWithRawResponse + + return SyntheticDataGenerationResourceWithRawResponse(self._client.synthetic_data_generation) + + @cached_property + def telemetry(self) -> telemetry.TelemetryResourceWithRawResponse: + from .resources.telemetry import TelemetryResourceWithRawResponse + + return TelemetryResourceWithRawResponse(self._client.telemetry) + + @cached_property + def scoring(self) -> scoring.ScoringResourceWithRawResponse: + from .resources.scoring import ScoringResourceWithRawResponse + + return ScoringResourceWithRawResponse(self._client.scoring) + + @cached_property + def scoring_functions(self) -> scoring_functions.ScoringFunctionsResourceWithRawResponse: + from .resources.scoring_functions import ScoringFunctionsResourceWithRawResponse + + return ScoringFunctionsResourceWithRawResponse(self._client.scoring_functions) + + @cached_property + def benchmarks(self) -> benchmarks.BenchmarksResourceWithRawResponse: + from .resources.benchmarks import BenchmarksResourceWithRawResponse + + return BenchmarksResourceWithRawResponse(self._client.benchmarks) + + @cached_property + def files(self) -> files.FilesResourceWithRawResponse: + from .resources.files import FilesResourceWithRawResponse + + return FilesResourceWithRawResponse(self._client.files) class AsyncLlamaStackClientWithRawResponse: + _client: AsyncLlamaStackClient + def __init__(self, client: AsyncLlamaStackClient) -> None: - self.toolgroups = toolgroups.AsyncToolgroupsResourceWithRawResponse(client.toolgroups) - self.tools = tools.AsyncToolsResourceWithRawResponse(client.tools) - self.tool_runtime = tool_runtime.AsyncToolRuntimeResourceWithRawResponse(client.tool_runtime) - self.responses = responses.AsyncResponsesResourceWithRawResponse(client.responses) - self.agents = agents.AsyncAgentsResourceWithRawResponse(client.agents) - self.datasets = datasets.AsyncDatasetsResourceWithRawResponse(client.datasets) - self.eval = eval.AsyncEvalResourceWithRawResponse(client.eval) - self.inspect = inspect.AsyncInspectResourceWithRawResponse(client.inspect) - self.inference = inference.AsyncInferenceResourceWithRawResponse(client.inference) - self.embeddings = embeddings.AsyncEmbeddingsResourceWithRawResponse(client.embeddings) - self.chat = chat.AsyncChatResourceWithRawResponse(client.chat) - self.completions = completions.AsyncCompletionsResourceWithRawResponse(client.completions) - self.vector_io = vector_io.AsyncVectorIoResourceWithRawResponse(client.vector_io) - self.vector_dbs = vector_dbs.AsyncVectorDBsResourceWithRawResponse(client.vector_dbs) - self.vector_stores = vector_stores.AsyncVectorStoresResourceWithRawResponse(client.vector_stores) - self.models = models.AsyncModelsResourceWithRawResponse(client.models) - self.post_training = post_training.AsyncPostTrainingResourceWithRawResponse(client.post_training) - self.providers = providers.AsyncProvidersResourceWithRawResponse(client.providers) - self.routes = routes.AsyncRoutesResourceWithRawResponse(client.routes) - self.moderations = moderations.AsyncModerationsResourceWithRawResponse(client.moderations) - self.safety = safety.AsyncSafetyResourceWithRawResponse(client.safety) - self.shields = shields.AsyncShieldsResourceWithRawResponse(client.shields) - self.synthetic_data_generation = synthetic_data_generation.AsyncSyntheticDataGenerationResourceWithRawResponse( - client.synthetic_data_generation - ) - self.telemetry = telemetry.AsyncTelemetryResourceWithRawResponse(client.telemetry) - self.scoring = scoring.AsyncScoringResourceWithRawResponse(client.scoring) - self.scoring_functions = scoring_functions.AsyncScoringFunctionsResourceWithRawResponse( - client.scoring_functions - ) - self.benchmarks = benchmarks.AsyncBenchmarksResourceWithRawResponse(client.benchmarks) - self.files = files.AsyncFilesResourceWithRawResponse(client.files) + self._client = client + + @cached_property + def toolgroups(self) -> toolgroups.AsyncToolgroupsResourceWithRawResponse: + from .resources.toolgroups import AsyncToolgroupsResourceWithRawResponse + + return AsyncToolgroupsResourceWithRawResponse(self._client.toolgroups) + + @cached_property + def tools(self) -> tools.AsyncToolsResourceWithRawResponse: + from .resources.tools import AsyncToolsResourceWithRawResponse + + return AsyncToolsResourceWithRawResponse(self._client.tools) + + @cached_property + def tool_runtime(self) -> tool_runtime.AsyncToolRuntimeResourceWithRawResponse: + from .resources.tool_runtime import AsyncToolRuntimeResourceWithRawResponse + + return AsyncToolRuntimeResourceWithRawResponse(self._client.tool_runtime) + + @cached_property + def responses(self) -> responses.AsyncResponsesResourceWithRawResponse: + from .resources.responses import AsyncResponsesResourceWithRawResponse + + return AsyncResponsesResourceWithRawResponse(self._client.responses) + + @cached_property + def agents(self) -> agents.AsyncAgentsResourceWithRawResponse: + from .resources.agents import AsyncAgentsResourceWithRawResponse + + return AsyncAgentsResourceWithRawResponse(self._client.agents) + + @cached_property + def datasets(self) -> datasets.AsyncDatasetsResourceWithRawResponse: + from .resources.datasets import AsyncDatasetsResourceWithRawResponse + + return AsyncDatasetsResourceWithRawResponse(self._client.datasets) + + @cached_property + def eval(self) -> eval.AsyncEvalResourceWithRawResponse: + from .resources.eval import AsyncEvalResourceWithRawResponse + + return AsyncEvalResourceWithRawResponse(self._client.eval) + + @cached_property + def inspect(self) -> inspect.AsyncInspectResourceWithRawResponse: + from .resources.inspect import AsyncInspectResourceWithRawResponse + + return AsyncInspectResourceWithRawResponse(self._client.inspect) + + @cached_property + def inference(self) -> inference.AsyncInferenceResourceWithRawResponse: + from .resources.inference import AsyncInferenceResourceWithRawResponse + + return AsyncInferenceResourceWithRawResponse(self._client.inference) + + @cached_property + def embeddings(self) -> embeddings.AsyncEmbeddingsResourceWithRawResponse: + from .resources.embeddings import AsyncEmbeddingsResourceWithRawResponse + + return AsyncEmbeddingsResourceWithRawResponse(self._client.embeddings) + + @cached_property + def chat(self) -> chat.AsyncChatResourceWithRawResponse: + from .resources.chat import AsyncChatResourceWithRawResponse + + return AsyncChatResourceWithRawResponse(self._client.chat) + + @cached_property + def completions(self) -> completions.AsyncCompletionsResourceWithRawResponse: + from .resources.completions import AsyncCompletionsResourceWithRawResponse + + return AsyncCompletionsResourceWithRawResponse(self._client.completions) + + @cached_property + def vector_io(self) -> vector_io.AsyncVectorIoResourceWithRawResponse: + from .resources.vector_io import AsyncVectorIoResourceWithRawResponse + + return AsyncVectorIoResourceWithRawResponse(self._client.vector_io) + + @cached_property + def vector_dbs(self) -> vector_dbs.AsyncVectorDBsResourceWithRawResponse: + from .resources.vector_dbs import AsyncVectorDBsResourceWithRawResponse + + return AsyncVectorDBsResourceWithRawResponse(self._client.vector_dbs) + + @cached_property + def vector_stores(self) -> vector_stores.AsyncVectorStoresResourceWithRawResponse: + from .resources.vector_stores import AsyncVectorStoresResourceWithRawResponse + + return AsyncVectorStoresResourceWithRawResponse(self._client.vector_stores) + + @cached_property + def models(self) -> models.AsyncModelsResourceWithRawResponse: + from .resources.models import AsyncModelsResourceWithRawResponse + + return AsyncModelsResourceWithRawResponse(self._client.models) + + @cached_property + def post_training(self) -> post_training.AsyncPostTrainingResourceWithRawResponse: + from .resources.post_training import AsyncPostTrainingResourceWithRawResponse + + return AsyncPostTrainingResourceWithRawResponse(self._client.post_training) + + @cached_property + def providers(self) -> providers.AsyncProvidersResourceWithRawResponse: + from .resources.providers import AsyncProvidersResourceWithRawResponse + + return AsyncProvidersResourceWithRawResponse(self._client.providers) + + @cached_property + def routes(self) -> routes.AsyncRoutesResourceWithRawResponse: + from .resources.routes import AsyncRoutesResourceWithRawResponse + + return AsyncRoutesResourceWithRawResponse(self._client.routes) + + @cached_property + def moderations(self) -> moderations.AsyncModerationsResourceWithRawResponse: + from .resources.moderations import AsyncModerationsResourceWithRawResponse + + return AsyncModerationsResourceWithRawResponse(self._client.moderations) + + @cached_property + def safety(self) -> safety.AsyncSafetyResourceWithRawResponse: + from .resources.safety import AsyncSafetyResourceWithRawResponse + + return AsyncSafetyResourceWithRawResponse(self._client.safety) + + @cached_property + def shields(self) -> shields.AsyncShieldsResourceWithRawResponse: + from .resources.shields import AsyncShieldsResourceWithRawResponse + + return AsyncShieldsResourceWithRawResponse(self._client.shields) + + @cached_property + def synthetic_data_generation( + self, + ) -> synthetic_data_generation.AsyncSyntheticDataGenerationResourceWithRawResponse: + from .resources.synthetic_data_generation import AsyncSyntheticDataGenerationResourceWithRawResponse + + return AsyncSyntheticDataGenerationResourceWithRawResponse(self._client.synthetic_data_generation) + + @cached_property + def telemetry(self) -> telemetry.AsyncTelemetryResourceWithRawResponse: + from .resources.telemetry import AsyncTelemetryResourceWithRawResponse + + return AsyncTelemetryResourceWithRawResponse(self._client.telemetry) + + @cached_property + def scoring(self) -> scoring.AsyncScoringResourceWithRawResponse: + from .resources.scoring import AsyncScoringResourceWithRawResponse + + return AsyncScoringResourceWithRawResponse(self._client.scoring) + + @cached_property + def scoring_functions(self) -> scoring_functions.AsyncScoringFunctionsResourceWithRawResponse: + from .resources.scoring_functions import AsyncScoringFunctionsResourceWithRawResponse + + return AsyncScoringFunctionsResourceWithRawResponse(self._client.scoring_functions) + + @cached_property + def benchmarks(self) -> benchmarks.AsyncBenchmarksResourceWithRawResponse: + from .resources.benchmarks import AsyncBenchmarksResourceWithRawResponse + + return AsyncBenchmarksResourceWithRawResponse(self._client.benchmarks) + + @cached_property + def files(self) -> files.AsyncFilesResourceWithRawResponse: + from .resources.files import AsyncFilesResourceWithRawResponse + + return AsyncFilesResourceWithRawResponse(self._client.files) class LlamaStackClientWithStreamedResponse: + _client: LlamaStackClient + def __init__(self, client: LlamaStackClient) -> None: - self.toolgroups = toolgroups.ToolgroupsResourceWithStreamingResponse(client.toolgroups) - self.tools = tools.ToolsResourceWithStreamingResponse(client.tools) - self.tool_runtime = tool_runtime.ToolRuntimeResourceWithStreamingResponse(client.tool_runtime) - self.responses = responses.ResponsesResourceWithStreamingResponse(client.responses) - self.agents = agents.AgentsResourceWithStreamingResponse(client.agents) - self.datasets = datasets.DatasetsResourceWithStreamingResponse(client.datasets) - self.eval = eval.EvalResourceWithStreamingResponse(client.eval) - self.inspect = inspect.InspectResourceWithStreamingResponse(client.inspect) - self.inference = inference.InferenceResourceWithStreamingResponse(client.inference) - self.embeddings = embeddings.EmbeddingsResourceWithStreamingResponse(client.embeddings) - self.chat = chat.ChatResourceWithStreamingResponse(client.chat) - self.completions = completions.CompletionsResourceWithStreamingResponse(client.completions) - self.vector_io = vector_io.VectorIoResourceWithStreamingResponse(client.vector_io) - self.vector_dbs = vector_dbs.VectorDBsResourceWithStreamingResponse(client.vector_dbs) - self.vector_stores = vector_stores.VectorStoresResourceWithStreamingResponse(client.vector_stores) - self.models = models.ModelsResourceWithStreamingResponse(client.models) - self.post_training = post_training.PostTrainingResourceWithStreamingResponse(client.post_training) - self.providers = providers.ProvidersResourceWithStreamingResponse(client.providers) - self.routes = routes.RoutesResourceWithStreamingResponse(client.routes) - self.moderations = moderations.ModerationsResourceWithStreamingResponse(client.moderations) - self.safety = safety.SafetyResourceWithStreamingResponse(client.safety) - self.shields = shields.ShieldsResourceWithStreamingResponse(client.shields) - self.synthetic_data_generation = synthetic_data_generation.SyntheticDataGenerationResourceWithStreamingResponse( - client.synthetic_data_generation - ) - self.telemetry = telemetry.TelemetryResourceWithStreamingResponse(client.telemetry) - self.scoring = scoring.ScoringResourceWithStreamingResponse(client.scoring) - self.scoring_functions = scoring_functions.ScoringFunctionsResourceWithStreamingResponse( - client.scoring_functions - ) - self.benchmarks = benchmarks.BenchmarksResourceWithStreamingResponse(client.benchmarks) - self.files = files.FilesResourceWithStreamingResponse(client.files) + self._client = client + + @cached_property + def toolgroups(self) -> toolgroups.ToolgroupsResourceWithStreamingResponse: + from .resources.toolgroups import ToolgroupsResourceWithStreamingResponse + + return ToolgroupsResourceWithStreamingResponse(self._client.toolgroups) + + @cached_property + def tools(self) -> tools.ToolsResourceWithStreamingResponse: + from .resources.tools import ToolsResourceWithStreamingResponse + + return ToolsResourceWithStreamingResponse(self._client.tools) + + @cached_property + def tool_runtime(self) -> tool_runtime.ToolRuntimeResourceWithStreamingResponse: + from .resources.tool_runtime import ToolRuntimeResourceWithStreamingResponse + + return ToolRuntimeResourceWithStreamingResponse(self._client.tool_runtime) + + @cached_property + def responses(self) -> responses.ResponsesResourceWithStreamingResponse: + from .resources.responses import ResponsesResourceWithStreamingResponse + + return ResponsesResourceWithStreamingResponse(self._client.responses) + + @cached_property + def agents(self) -> agents.AgentsResourceWithStreamingResponse: + from .resources.agents import AgentsResourceWithStreamingResponse + + return AgentsResourceWithStreamingResponse(self._client.agents) + + @cached_property + def datasets(self) -> datasets.DatasetsResourceWithStreamingResponse: + from .resources.datasets import DatasetsResourceWithStreamingResponse + + return DatasetsResourceWithStreamingResponse(self._client.datasets) + + @cached_property + def eval(self) -> eval.EvalResourceWithStreamingResponse: + from .resources.eval import EvalResourceWithStreamingResponse + + return EvalResourceWithStreamingResponse(self._client.eval) + + @cached_property + def inspect(self) -> inspect.InspectResourceWithStreamingResponse: + from .resources.inspect import InspectResourceWithStreamingResponse + + return InspectResourceWithStreamingResponse(self._client.inspect) + + @cached_property + def inference(self) -> inference.InferenceResourceWithStreamingResponse: + from .resources.inference import InferenceResourceWithStreamingResponse + + return InferenceResourceWithStreamingResponse(self._client.inference) + + @cached_property + def embeddings(self) -> embeddings.EmbeddingsResourceWithStreamingResponse: + from .resources.embeddings import EmbeddingsResourceWithStreamingResponse + + return EmbeddingsResourceWithStreamingResponse(self._client.embeddings) + + @cached_property + def chat(self) -> chat.ChatResourceWithStreamingResponse: + from .resources.chat import ChatResourceWithStreamingResponse + + return ChatResourceWithStreamingResponse(self._client.chat) + + @cached_property + def completions(self) -> completions.CompletionsResourceWithStreamingResponse: + from .resources.completions import CompletionsResourceWithStreamingResponse + + return CompletionsResourceWithStreamingResponse(self._client.completions) + + @cached_property + def vector_io(self) -> vector_io.VectorIoResourceWithStreamingResponse: + from .resources.vector_io import VectorIoResourceWithStreamingResponse + + return VectorIoResourceWithStreamingResponse(self._client.vector_io) + + @cached_property + def vector_dbs(self) -> vector_dbs.VectorDBsResourceWithStreamingResponse: + from .resources.vector_dbs import VectorDBsResourceWithStreamingResponse + + return VectorDBsResourceWithStreamingResponse(self._client.vector_dbs) + + @cached_property + def vector_stores(self) -> vector_stores.VectorStoresResourceWithStreamingResponse: + from .resources.vector_stores import VectorStoresResourceWithStreamingResponse + + return VectorStoresResourceWithStreamingResponse(self._client.vector_stores) + + @cached_property + def models(self) -> models.ModelsResourceWithStreamingResponse: + from .resources.models import ModelsResourceWithStreamingResponse + + return ModelsResourceWithStreamingResponse(self._client.models) + + @cached_property + def post_training(self) -> post_training.PostTrainingResourceWithStreamingResponse: + from .resources.post_training import PostTrainingResourceWithStreamingResponse + + return PostTrainingResourceWithStreamingResponse(self._client.post_training) + + @cached_property + def providers(self) -> providers.ProvidersResourceWithStreamingResponse: + from .resources.providers import ProvidersResourceWithStreamingResponse + + return ProvidersResourceWithStreamingResponse(self._client.providers) + + @cached_property + def routes(self) -> routes.RoutesResourceWithStreamingResponse: + from .resources.routes import RoutesResourceWithStreamingResponse + + return RoutesResourceWithStreamingResponse(self._client.routes) + + @cached_property + def moderations(self) -> moderations.ModerationsResourceWithStreamingResponse: + from .resources.moderations import ModerationsResourceWithStreamingResponse + + return ModerationsResourceWithStreamingResponse(self._client.moderations) + + @cached_property + def safety(self) -> safety.SafetyResourceWithStreamingResponse: + from .resources.safety import SafetyResourceWithStreamingResponse + + return SafetyResourceWithStreamingResponse(self._client.safety) + + @cached_property + def shields(self) -> shields.ShieldsResourceWithStreamingResponse: + from .resources.shields import ShieldsResourceWithStreamingResponse + + return ShieldsResourceWithStreamingResponse(self._client.shields) + + @cached_property + def synthetic_data_generation( + self, + ) -> synthetic_data_generation.SyntheticDataGenerationResourceWithStreamingResponse: + from .resources.synthetic_data_generation import SyntheticDataGenerationResourceWithStreamingResponse + + return SyntheticDataGenerationResourceWithStreamingResponse(self._client.synthetic_data_generation) + + @cached_property + def telemetry(self) -> telemetry.TelemetryResourceWithStreamingResponse: + from .resources.telemetry import TelemetryResourceWithStreamingResponse + + return TelemetryResourceWithStreamingResponse(self._client.telemetry) + + @cached_property + def scoring(self) -> scoring.ScoringResourceWithStreamingResponse: + from .resources.scoring import ScoringResourceWithStreamingResponse + + return ScoringResourceWithStreamingResponse(self._client.scoring) + + @cached_property + def scoring_functions(self) -> scoring_functions.ScoringFunctionsResourceWithStreamingResponse: + from .resources.scoring_functions import ScoringFunctionsResourceWithStreamingResponse + + return ScoringFunctionsResourceWithStreamingResponse(self._client.scoring_functions) + + @cached_property + def benchmarks(self) -> benchmarks.BenchmarksResourceWithStreamingResponse: + from .resources.benchmarks import BenchmarksResourceWithStreamingResponse + + return BenchmarksResourceWithStreamingResponse(self._client.benchmarks) + + @cached_property + def files(self) -> files.FilesResourceWithStreamingResponse: + from .resources.files import FilesResourceWithStreamingResponse + + return FilesResourceWithStreamingResponse(self._client.files) class AsyncLlamaStackClientWithStreamedResponse: + _client: AsyncLlamaStackClient + def __init__(self, client: AsyncLlamaStackClient) -> None: - self.toolgroups = toolgroups.AsyncToolgroupsResourceWithStreamingResponse(client.toolgroups) - self.tools = tools.AsyncToolsResourceWithStreamingResponse(client.tools) - self.tool_runtime = tool_runtime.AsyncToolRuntimeResourceWithStreamingResponse(client.tool_runtime) - self.responses = responses.AsyncResponsesResourceWithStreamingResponse(client.responses) - self.agents = agents.AsyncAgentsResourceWithStreamingResponse(client.agents) - self.datasets = datasets.AsyncDatasetsResourceWithStreamingResponse(client.datasets) - self.eval = eval.AsyncEvalResourceWithStreamingResponse(client.eval) - self.inspect = inspect.AsyncInspectResourceWithStreamingResponse(client.inspect) - self.inference = inference.AsyncInferenceResourceWithStreamingResponse(client.inference) - self.embeddings = embeddings.AsyncEmbeddingsResourceWithStreamingResponse(client.embeddings) - self.chat = chat.AsyncChatResourceWithStreamingResponse(client.chat) - self.completions = completions.AsyncCompletionsResourceWithStreamingResponse(client.completions) - self.vector_io = vector_io.AsyncVectorIoResourceWithStreamingResponse(client.vector_io) - self.vector_dbs = vector_dbs.AsyncVectorDBsResourceWithStreamingResponse(client.vector_dbs) - self.vector_stores = vector_stores.AsyncVectorStoresResourceWithStreamingResponse(client.vector_stores) - self.models = models.AsyncModelsResourceWithStreamingResponse(client.models) - self.post_training = post_training.AsyncPostTrainingResourceWithStreamingResponse(client.post_training) - self.providers = providers.AsyncProvidersResourceWithStreamingResponse(client.providers) - self.routes = routes.AsyncRoutesResourceWithStreamingResponse(client.routes) - self.moderations = moderations.AsyncModerationsResourceWithStreamingResponse(client.moderations) - self.safety = safety.AsyncSafetyResourceWithStreamingResponse(client.safety) - self.shields = shields.AsyncShieldsResourceWithStreamingResponse(client.shields) - self.synthetic_data_generation = ( - synthetic_data_generation.AsyncSyntheticDataGenerationResourceWithStreamingResponse( - client.synthetic_data_generation - ) - ) - self.telemetry = telemetry.AsyncTelemetryResourceWithStreamingResponse(client.telemetry) - self.scoring = scoring.AsyncScoringResourceWithStreamingResponse(client.scoring) - self.scoring_functions = scoring_functions.AsyncScoringFunctionsResourceWithStreamingResponse( - client.scoring_functions - ) - self.benchmarks = benchmarks.AsyncBenchmarksResourceWithStreamingResponse(client.benchmarks) - self.files = files.AsyncFilesResourceWithStreamingResponse(client.files) + self._client = client + + @cached_property + def toolgroups(self) -> toolgroups.AsyncToolgroupsResourceWithStreamingResponse: + from .resources.toolgroups import AsyncToolgroupsResourceWithStreamingResponse + + return AsyncToolgroupsResourceWithStreamingResponse(self._client.toolgroups) + + @cached_property + def tools(self) -> tools.AsyncToolsResourceWithStreamingResponse: + from .resources.tools import AsyncToolsResourceWithStreamingResponse + + return AsyncToolsResourceWithStreamingResponse(self._client.tools) + + @cached_property + def tool_runtime(self) -> tool_runtime.AsyncToolRuntimeResourceWithStreamingResponse: + from .resources.tool_runtime import AsyncToolRuntimeResourceWithStreamingResponse + + return AsyncToolRuntimeResourceWithStreamingResponse(self._client.tool_runtime) + + @cached_property + def responses(self) -> responses.AsyncResponsesResourceWithStreamingResponse: + from .resources.responses import AsyncResponsesResourceWithStreamingResponse + + return AsyncResponsesResourceWithStreamingResponse(self._client.responses) + + @cached_property + def agents(self) -> agents.AsyncAgentsResourceWithStreamingResponse: + from .resources.agents import AsyncAgentsResourceWithStreamingResponse + + return AsyncAgentsResourceWithStreamingResponse(self._client.agents) + + @cached_property + def datasets(self) -> datasets.AsyncDatasetsResourceWithStreamingResponse: + from .resources.datasets import AsyncDatasetsResourceWithStreamingResponse + + return AsyncDatasetsResourceWithStreamingResponse(self._client.datasets) + + @cached_property + def eval(self) -> eval.AsyncEvalResourceWithStreamingResponse: + from .resources.eval import AsyncEvalResourceWithStreamingResponse + + return AsyncEvalResourceWithStreamingResponse(self._client.eval) + + @cached_property + def inspect(self) -> inspect.AsyncInspectResourceWithStreamingResponse: + from .resources.inspect import AsyncInspectResourceWithStreamingResponse + + return AsyncInspectResourceWithStreamingResponse(self._client.inspect) + + @cached_property + def inference(self) -> inference.AsyncInferenceResourceWithStreamingResponse: + from .resources.inference import AsyncInferenceResourceWithStreamingResponse + + return AsyncInferenceResourceWithStreamingResponse(self._client.inference) + + @cached_property + def embeddings(self) -> embeddings.AsyncEmbeddingsResourceWithStreamingResponse: + from .resources.embeddings import AsyncEmbeddingsResourceWithStreamingResponse + + return AsyncEmbeddingsResourceWithStreamingResponse(self._client.embeddings) + + @cached_property + def chat(self) -> chat.AsyncChatResourceWithStreamingResponse: + from .resources.chat import AsyncChatResourceWithStreamingResponse + + return AsyncChatResourceWithStreamingResponse(self._client.chat) + + @cached_property + def completions(self) -> completions.AsyncCompletionsResourceWithStreamingResponse: + from .resources.completions import AsyncCompletionsResourceWithStreamingResponse + + return AsyncCompletionsResourceWithStreamingResponse(self._client.completions) + + @cached_property + def vector_io(self) -> vector_io.AsyncVectorIoResourceWithStreamingResponse: + from .resources.vector_io import AsyncVectorIoResourceWithStreamingResponse + + return AsyncVectorIoResourceWithStreamingResponse(self._client.vector_io) + + @cached_property + def vector_dbs(self) -> vector_dbs.AsyncVectorDBsResourceWithStreamingResponse: + from .resources.vector_dbs import AsyncVectorDBsResourceWithStreamingResponse + + return AsyncVectorDBsResourceWithStreamingResponse(self._client.vector_dbs) + + @cached_property + def vector_stores(self) -> vector_stores.AsyncVectorStoresResourceWithStreamingResponse: + from .resources.vector_stores import AsyncVectorStoresResourceWithStreamingResponse + + return AsyncVectorStoresResourceWithStreamingResponse(self._client.vector_stores) + + @cached_property + def models(self) -> models.AsyncModelsResourceWithStreamingResponse: + from .resources.models import AsyncModelsResourceWithStreamingResponse + + return AsyncModelsResourceWithStreamingResponse(self._client.models) + + @cached_property + def post_training(self) -> post_training.AsyncPostTrainingResourceWithStreamingResponse: + from .resources.post_training import AsyncPostTrainingResourceWithStreamingResponse + + return AsyncPostTrainingResourceWithStreamingResponse(self._client.post_training) + + @cached_property + def providers(self) -> providers.AsyncProvidersResourceWithStreamingResponse: + from .resources.providers import AsyncProvidersResourceWithStreamingResponse + + return AsyncProvidersResourceWithStreamingResponse(self._client.providers) + + @cached_property + def routes(self) -> routes.AsyncRoutesResourceWithStreamingResponse: + from .resources.routes import AsyncRoutesResourceWithStreamingResponse + + return AsyncRoutesResourceWithStreamingResponse(self._client.routes) + + @cached_property + def moderations(self) -> moderations.AsyncModerationsResourceWithStreamingResponse: + from .resources.moderations import AsyncModerationsResourceWithStreamingResponse + + return AsyncModerationsResourceWithStreamingResponse(self._client.moderations) + + @cached_property + def safety(self) -> safety.AsyncSafetyResourceWithStreamingResponse: + from .resources.safety import AsyncSafetyResourceWithStreamingResponse + + return AsyncSafetyResourceWithStreamingResponse(self._client.safety) + + @cached_property + def shields(self) -> shields.AsyncShieldsResourceWithStreamingResponse: + from .resources.shields import AsyncShieldsResourceWithStreamingResponse + + return AsyncShieldsResourceWithStreamingResponse(self._client.shields) + + @cached_property + def synthetic_data_generation( + self, + ) -> synthetic_data_generation.AsyncSyntheticDataGenerationResourceWithStreamingResponse: + from .resources.synthetic_data_generation import AsyncSyntheticDataGenerationResourceWithStreamingResponse + + return AsyncSyntheticDataGenerationResourceWithStreamingResponse(self._client.synthetic_data_generation) + + @cached_property + def telemetry(self) -> telemetry.AsyncTelemetryResourceWithStreamingResponse: + from .resources.telemetry import AsyncTelemetryResourceWithStreamingResponse + + return AsyncTelemetryResourceWithStreamingResponse(self._client.telemetry) + + @cached_property + def scoring(self) -> scoring.AsyncScoringResourceWithStreamingResponse: + from .resources.scoring import AsyncScoringResourceWithStreamingResponse + + return AsyncScoringResourceWithStreamingResponse(self._client.scoring) + + @cached_property + def scoring_functions(self) -> scoring_functions.AsyncScoringFunctionsResourceWithStreamingResponse: + from .resources.scoring_functions import AsyncScoringFunctionsResourceWithStreamingResponse + + return AsyncScoringFunctionsResourceWithStreamingResponse(self._client.scoring_functions) + + @cached_property + def benchmarks(self) -> benchmarks.AsyncBenchmarksResourceWithStreamingResponse: + from .resources.benchmarks import AsyncBenchmarksResourceWithStreamingResponse + + return AsyncBenchmarksResourceWithStreamingResponse(self._client.benchmarks) + + @cached_property + def files(self) -> files.AsyncFilesResourceWithStreamingResponse: + from .resources.files import AsyncFilesResourceWithStreamingResponse + + return AsyncFilesResourceWithStreamingResponse(self._client.files) Client = LlamaStackClient diff --git a/src/llama_stack_client/_utils/_logs.py b/src/llama_stack_client/_utils/_logs.py index c9aae87e..20b6cc06 100644 --- a/src/llama_stack_client/_utils/_logs.py +++ b/src/llama_stack_client/_utils/_logs.py @@ -1,5 +1,6 @@ import os import logging + from rich.logging import RichHandler logger: logging.Logger = logging.getLogger("llama_stack_client") diff --git a/src/llama_stack_client/lib/agents/client_tool.py b/src/llama_stack_client/lib/agents/client_tool.py index c199b211..4e26a50f 100644 --- a/src/llama_stack_client/lib/agents/client_tool.py +++ b/src/llama_stack_client/lib/agents/client_tool.py @@ -20,7 +20,7 @@ ) from llama_stack_client.types import CompletionMessage, Message, ToolResponse -from llama_stack_client.types.tool_def_param import Parameter, ToolDefParam +from llama_stack_client.types.tool import Parameter, Tool class ClientTool: @@ -61,8 +61,8 @@ def parameters_for_system_prompt(self) -> str: } ) - def get_tool_definition(self) -> ToolDefParam: - return ToolDefParam( + def get_tool_definition(self) -> Tool: + return Tool( name=self.get_name(), description=self.get_description(), parameters=list(self.get_params_definition().values()), diff --git a/src/llama_stack_client/resources/files.py b/src/llama_stack_client/resources/files.py index 96c5c871..4a74e148 100644 --- a/src/llama_stack_client/resources/files.py +++ b/src/llama_stack_client/resources/files.py @@ -50,7 +50,7 @@ def create( self, *, file: FileTypes, - purpose: Literal["assistants"], + purpose: Literal["assistants", "batch"], # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -137,7 +137,7 @@ def list( after: str | NotGiven = NOT_GIVEN, limit: int | NotGiven = NOT_GIVEN, order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN, - purpose: Literal["assistants"] | NotGiven = NOT_GIVEN, + purpose: Literal["assistants", "batch"] | NotGiven = NOT_GIVEN, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -282,7 +282,7 @@ async def create( self, *, file: FileTypes, - purpose: Literal["assistants"], + purpose: Literal["assistants", "batch"], # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, @@ -369,7 +369,7 @@ def list( after: str | NotGiven = NOT_GIVEN, limit: int | NotGiven = NOT_GIVEN, order: Literal["asc", "desc"] | NotGiven = NOT_GIVEN, - purpose: Literal["assistants"] | NotGiven = NOT_GIVEN, + purpose: Literal["assistants", "batch"] | NotGiven = NOT_GIVEN, # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. # The extra values given here take precedence over values defined on the client or passed to this method. extra_headers: Headers | None = None, diff --git a/src/llama_stack_client/resources/scoring_functions.py b/src/llama_stack_client/resources/scoring_functions.py index e1a77477..1546fa3e 100644 --- a/src/llama_stack_client/resources/scoring_functions.py +++ b/src/llama_stack_client/resources/scoring_functions.py @@ -21,7 +21,6 @@ from .._base_client import make_request_options from ..types.scoring_fn import ScoringFn from ..types.scoring_fn_params_param import ScoringFnParamsParam -from ..types.shared_params.return_type import ReturnType from ..types.scoring_function_list_response import ScoringFunctionListResponse __all__ = ["ScoringFunctionsResource", "AsyncScoringFunctionsResource"] @@ -107,7 +106,7 @@ def register( self, *, description: str, - return_type: ReturnType, + return_type: scoring_function_register_params.ReturnType, scoring_fn_id: str, params: ScoringFnParamsParam | NotGiven = NOT_GIVEN, provider_id: str | NotGiven = NOT_GIVEN, @@ -243,7 +242,7 @@ async def register( self, *, description: str, - return_type: ReturnType, + return_type: scoring_function_register_params.ReturnType, scoring_fn_id: str, params: ScoringFnParamsParam | NotGiven = NOT_GIVEN, provider_id: str | NotGiven = NOT_GIVEN, diff --git a/src/llama_stack_client/resources/telemetry.py b/src/llama_stack_client/resources/telemetry.py index 1cec537e..b8b47c49 100644 --- a/src/llama_stack_client/resources/telemetry.py +++ b/src/llama_stack_client/resources/telemetry.py @@ -3,6 +3,7 @@ from __future__ import annotations from typing import List, Type, Iterable, cast +from typing_extensions import Literal import httpx @@ -11,6 +12,7 @@ telemetry_query_spans_params, telemetry_query_traces_params, telemetry_get_span_tree_params, + telemetry_query_metrics_params, telemetry_save_spans_to_dataset_params, ) from .._types import NOT_GIVEN, Body, Query, Headers, NoneType, NotGiven @@ -32,6 +34,7 @@ from ..types.telemetry_query_spans_response import TelemetryQuerySpansResponse from ..types.telemetry_query_traces_response import TelemetryQueryTracesResponse from ..types.telemetry_get_span_tree_response import TelemetryGetSpanTreeResponse +from ..types.telemetry_query_metrics_response import TelemetryQueryMetricsResponse __all__ = ["TelemetryResource", "AsyncTelemetryResource"] @@ -219,6 +222,68 @@ def log_event( cast_to=NoneType, ) + def query_metrics( + self, + metric_name: str, + *, + query_type: Literal["range", "instant"], + start_time: int, + end_time: int | NotGiven = NOT_GIVEN, + granularity: str | NotGiven = NOT_GIVEN, + label_matchers: Iterable[telemetry_query_metrics_params.LabelMatcher] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> TelemetryQueryMetricsResponse: + """ + Query metrics. + + Args: + query_type: The type of query to perform. + + start_time: The start time of the metric to query. + + end_time: The end time of the metric to query. + + granularity: The granularity of the metric to query. + + label_matchers: The label matchers to apply to the metric. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + if not metric_name: + raise ValueError(f"Expected a non-empty value for `metric_name` but received {metric_name!r}") + return self._post( + f"/v1/telemetry/metrics/{metric_name}", + body=maybe_transform( + { + "query_type": query_type, + "start_time": start_time, + "end_time": end_time, + "granularity": granularity, + "label_matchers": label_matchers, + }, + telemetry_query_metrics_params.TelemetryQueryMetricsParams, + ), + options=make_request_options( + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + post_parser=DataWrapper[TelemetryQueryMetricsResponse]._unwrapper, + ), + cast_to=cast(Type[TelemetryQueryMetricsResponse], DataWrapper[TelemetryQueryMetricsResponse]), + ) + def query_spans( self, *, @@ -561,6 +626,68 @@ async def log_event( cast_to=NoneType, ) + async def query_metrics( + self, + metric_name: str, + *, + query_type: Literal["range", "instant"], + start_time: int, + end_time: int | NotGiven = NOT_GIVEN, + granularity: str | NotGiven = NOT_GIVEN, + label_matchers: Iterable[telemetry_query_metrics_params.LabelMatcher] | NotGiven = NOT_GIVEN, + # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs. + # The extra values given here take precedence over values defined on the client or passed to this method. + extra_headers: Headers | None = None, + extra_query: Query | None = None, + extra_body: Body | None = None, + timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, + ) -> TelemetryQueryMetricsResponse: + """ + Query metrics. + + Args: + query_type: The type of query to perform. + + start_time: The start time of the metric to query. + + end_time: The end time of the metric to query. + + granularity: The granularity of the metric to query. + + label_matchers: The label matchers to apply to the metric. + + extra_headers: Send extra headers + + extra_query: Add additional query parameters to the request + + extra_body: Add additional JSON properties to the request + + timeout: Override the client-level default timeout for this request, in seconds + """ + if not metric_name: + raise ValueError(f"Expected a non-empty value for `metric_name` but received {metric_name!r}") + return await self._post( + f"/v1/telemetry/metrics/{metric_name}", + body=await async_maybe_transform( + { + "query_type": query_type, + "start_time": start_time, + "end_time": end_time, + "granularity": granularity, + "label_matchers": label_matchers, + }, + telemetry_query_metrics_params.TelemetryQueryMetricsParams, + ), + options=make_request_options( + extra_headers=extra_headers, + extra_query=extra_query, + extra_body=extra_body, + timeout=timeout, + post_parser=DataWrapper[TelemetryQueryMetricsResponse]._unwrapper, + ), + cast_to=cast(Type[TelemetryQueryMetricsResponse], DataWrapper[TelemetryQueryMetricsResponse]), + ) + async def query_spans( self, *, @@ -736,6 +863,9 @@ def __init__(self, telemetry: TelemetryResource) -> None: self.log_event = to_raw_response_wrapper( telemetry.log_event, ) + self.query_metrics = to_raw_response_wrapper( + telemetry.query_metrics, + ) self.query_spans = to_raw_response_wrapper( telemetry.query_spans, ) @@ -763,6 +893,9 @@ def __init__(self, telemetry: AsyncTelemetryResource) -> None: self.log_event = async_to_raw_response_wrapper( telemetry.log_event, ) + self.query_metrics = async_to_raw_response_wrapper( + telemetry.query_metrics, + ) self.query_spans = async_to_raw_response_wrapper( telemetry.query_spans, ) @@ -790,6 +923,9 @@ def __init__(self, telemetry: TelemetryResource) -> None: self.log_event = to_streamed_response_wrapper( telemetry.log_event, ) + self.query_metrics = to_streamed_response_wrapper( + telemetry.query_metrics, + ) self.query_spans = to_streamed_response_wrapper( telemetry.query_spans, ) @@ -817,6 +953,9 @@ def __init__(self, telemetry: AsyncTelemetryResource) -> None: self.log_event = async_to_streamed_response_wrapper( telemetry.log_event, ) + self.query_metrics = async_to_streamed_response_wrapper( + telemetry.query_metrics, + ) self.query_spans = async_to_streamed_response_wrapper( telemetry.query_spans, ) diff --git a/src/llama_stack_client/types/__init__.py b/src/llama_stack_client/types/__init__.py index 887f1706..1d8ac792 100644 --- a/src/llama_stack_client/types/__init__.py +++ b/src/llama_stack_client/types/__init__.py @@ -8,11 +8,11 @@ from .model import Model as Model from .trace import Trace as Trace from .shared import ( + Metric as Metric, Message as Message, Document as Document, ToolCall as ToolCall, ParamType as ParamType, - ReturnType as ReturnType, AgentConfig as AgentConfig, QueryConfig as QueryConfig, QueryResult as QueryResult, @@ -24,7 +24,6 @@ SamplingParams as SamplingParams, BatchCompletion as BatchCompletion, SafetyViolation as SafetyViolation, - ToolCallOrString as ToolCallOrString, CompletionMessage as CompletionMessage, InterleavedContent as InterleavedContent, ToolParamDefinition as ToolParamDefinition, @@ -145,6 +144,7 @@ from .telemetry_query_traces_params import TelemetryQueryTracesParams as TelemetryQueryTracesParams from .scoring_function_list_response import ScoringFunctionListResponse as ScoringFunctionListResponse from .telemetry_get_span_tree_params import TelemetryGetSpanTreeParams as TelemetryGetSpanTreeParams +from .telemetry_query_metrics_params import TelemetryQueryMetricsParams as TelemetryQueryMetricsParams from .telemetry_query_spans_response import TelemetryQuerySpansResponse as TelemetryQuerySpansResponse from .tool_runtime_list_tools_params import ToolRuntimeListToolsParams as ToolRuntimeListToolsParams from .eval_evaluate_rows_alpha_params import EvalEvaluateRowsAlphaParams as EvalEvaluateRowsAlphaParams @@ -155,6 +155,7 @@ from .list_post_training_jobs_response import ListPostTrainingJobsResponse as ListPostTrainingJobsResponse from .scoring_function_register_params import ScoringFunctionRegisterParams as ScoringFunctionRegisterParams from .telemetry_get_span_tree_response import TelemetryGetSpanTreeResponse as TelemetryGetSpanTreeResponse +from .telemetry_query_metrics_response import TelemetryQueryMetricsResponse as TelemetryQueryMetricsResponse from .tool_runtime_list_tools_response import ToolRuntimeListToolsResponse as ToolRuntimeListToolsResponse from .inference_batch_completion_params import InferenceBatchCompletionParams as InferenceBatchCompletionParams from .synthetic_data_generation_response import SyntheticDataGenerationResponse as SyntheticDataGenerationResponse diff --git a/src/llama_stack_client/types/chat_completion_response_stream_chunk.py b/src/llama_stack_client/types/chat_completion_response_stream_chunk.py index 2b94eb18..1a55f3d1 100644 --- a/src/llama_stack_client/types/chat_completion_response_stream_chunk.py +++ b/src/llama_stack_client/types/chat_completion_response_stream_chunk.py @@ -4,10 +4,11 @@ from typing_extensions import Literal from .._models import BaseModel +from .shared.metric import Metric from .token_log_probs import TokenLogProbs from .shared.content_delta import ContentDelta -__all__ = ["ChatCompletionResponseStreamChunk", "Event", "Metric"] +__all__ = ["ChatCompletionResponseStreamChunk", "Event"] class Event(BaseModel): @@ -27,17 +28,6 @@ class Event(BaseModel): """Optional reason why generation stopped, if complete""" -class Metric(BaseModel): - metric: str - """The name of the metric""" - - value: float - """The numeric value of the metric""" - - unit: Optional[str] = None - """(Optional) The unit of measurement for the metric value""" - - class ChatCompletionResponseStreamChunk(BaseModel): event: Event """The event containing the new content""" diff --git a/src/llama_stack_client/types/completion_response.py b/src/llama_stack_client/types/completion_response.py index 51772801..9718be8a 100644 --- a/src/llama_stack_client/types/completion_response.py +++ b/src/llama_stack_client/types/completion_response.py @@ -4,20 +4,10 @@ from typing_extensions import Literal from .._models import BaseModel +from .shared.metric import Metric from .token_log_probs import TokenLogProbs -__all__ = ["CompletionResponse", "Metric"] - - -class Metric(BaseModel): - metric: str - """The name of the metric""" - - value: float - """The numeric value of the metric""" - - unit: Optional[str] = None - """(Optional) The unit of measurement for the metric value""" +__all__ = ["CompletionResponse"] class CompletionResponse(BaseModel): diff --git a/src/llama_stack_client/types/create_response.py b/src/llama_stack_client/types/create_response.py index b0eaf3e5..fbb519f0 100644 --- a/src/llama_stack_client/types/create_response.py +++ b/src/llama_stack_client/types/create_response.py @@ -22,13 +22,7 @@ class Result(BaseModel): """ category_scores: Optional[Dict[str, float]] = None - """A list of the categories along with their scores as predicted by model. - - Required set of categories that need to be in response - violence - - violence/graphic - harassment - harassment/threatening - hate - - hate/threatening - illicit - illicit/violent - sexual - sexual/minors - - self-harm - self-harm/intent - self-harm/instructions - """ + """A list of the categories along with their scores as predicted by model.""" user_message: Optional[str] = None diff --git a/src/llama_stack_client/types/file.py b/src/llama_stack_client/types/file.py index 74ead6b7..b87d04ef 100644 --- a/src/llama_stack_client/types/file.py +++ b/src/llama_stack_client/types/file.py @@ -26,5 +26,5 @@ class File(BaseModel): object: Literal["file"] """The object type, which is always "file" """ - purpose: Literal["assistants"] + purpose: Literal["assistants", "batch"] """The intended purpose of the file""" diff --git a/src/llama_stack_client/types/file_create_params.py b/src/llama_stack_client/types/file_create_params.py index 8342aad2..8322c0a9 100644 --- a/src/llama_stack_client/types/file_create_params.py +++ b/src/llama_stack_client/types/file_create_params.py @@ -12,5 +12,5 @@ class FileCreateParams(TypedDict, total=False): file: Required[FileTypes] - purpose: Required[Literal["assistants"]] + purpose: Required[Literal["assistants", "batch"]] """Valid purpose values for OpenAI Files API.""" diff --git a/src/llama_stack_client/types/file_list_params.py b/src/llama_stack_client/types/file_list_params.py index 3f7d6ed5..2b504e53 100644 --- a/src/llama_stack_client/types/file_list_params.py +++ b/src/llama_stack_client/types/file_list_params.py @@ -29,5 +29,5 @@ class FileListParams(TypedDict, total=False): `asc` for ascending order and `desc` for descending order. """ - purpose: Literal["assistants"] + purpose: Literal["assistants", "batch"] """Only return files with the given purpose.""" diff --git a/src/llama_stack_client/types/scoring_fn.py b/src/llama_stack_client/types/scoring_fn.py index 8c558f2a..947e569c 100644 --- a/src/llama_stack_client/types/scoring_fn.py +++ b/src/llama_stack_client/types/scoring_fn.py @@ -5,9 +5,23 @@ from .._models import BaseModel from .scoring_fn_params import ScoringFnParams -from .shared.return_type import ReturnType -__all__ = ["ScoringFn"] +__all__ = ["ScoringFn", "ReturnType"] + + +class ReturnType(BaseModel): + type: Literal[ + "string", + "number", + "boolean", + "array", + "object", + "json", + "union", + "chat_completion_input", + "completion_input", + "agent_turn_input", + ] class ScoringFn(BaseModel): diff --git a/src/llama_stack_client/types/scoring_function_register_params.py b/src/llama_stack_client/types/scoring_function_register_params.py index c9932710..bf58bc33 100644 --- a/src/llama_stack_client/types/scoring_function_register_params.py +++ b/src/llama_stack_client/types/scoring_function_register_params.py @@ -2,12 +2,11 @@ from __future__ import annotations -from typing_extensions import Required, TypedDict +from typing_extensions import Literal, Required, TypedDict from .scoring_fn_params_param import ScoringFnParamsParam -from .shared_params.return_type import ReturnType -__all__ = ["ScoringFunctionRegisterParams"] +__all__ = ["ScoringFunctionRegisterParams", "ReturnType"] class ScoringFunctionRegisterParams(TypedDict, total=False): @@ -30,3 +29,20 @@ class ScoringFunctionRegisterParams(TypedDict, total=False): provider_scoring_fn_id: str """The ID of the provider scoring function to use for the scoring function.""" + + +class ReturnType(TypedDict, total=False): + type: Required[ + Literal[ + "string", + "number", + "boolean", + "array", + "object", + "json", + "union", + "chat_completion_input", + "completion_input", + "agent_turn_input", + ] + ] diff --git a/src/llama_stack_client/types/shared/__init__.py b/src/llama_stack_client/types/shared/__init__.py index 0fe46810..fb14d8a6 100644 --- a/src/llama_stack_client/types/shared/__init__.py +++ b/src/llama_stack_client/types/shared/__init__.py @@ -1,10 +1,10 @@ # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. +from .metric import Metric as Metric from .message import Message as Message from .document import Document as Document from .tool_call import ToolCall as ToolCall from .param_type import ParamType as ParamType -from .return_type import ReturnType as ReturnType from .agent_config import AgentConfig as AgentConfig from .query_config import QueryConfig as QueryConfig from .query_result import QueryResult as QueryResult @@ -18,7 +18,6 @@ from .safety_violation import SafetyViolation as SafetyViolation from .completion_message import CompletionMessage as CompletionMessage from .interleaved_content import InterleavedContent as InterleavedContent -from .tool_call_or_string import ToolCallOrString as ToolCallOrString from .tool_param_definition import ToolParamDefinition as ToolParamDefinition from .tool_response_message import ToolResponseMessage as ToolResponseMessage from .query_generator_config import QueryGeneratorConfig as QueryGeneratorConfig diff --git a/src/llama_stack_client/types/shared/chat_completion_response.py b/src/llama_stack_client/types/shared/chat_completion_response.py index 3ff6e0bc..30191439 100644 --- a/src/llama_stack_client/types/shared/chat_completion_response.py +++ b/src/llama_stack_client/types/shared/chat_completion_response.py @@ -2,22 +2,12 @@ from typing import List, Optional +from .metric import Metric from ..._models import BaseModel from ..token_log_probs import TokenLogProbs from .completion_message import CompletionMessage -__all__ = ["ChatCompletionResponse", "Metric"] - - -class Metric(BaseModel): - metric: str - """The name of the metric""" - - value: float - """The numeric value of the metric""" - - unit: Optional[str] = None - """(Optional) The unit of measurement for the metric value""" +__all__ = ["ChatCompletionResponse"] class ChatCompletionResponse(BaseModel): diff --git a/src/llama_stack_client/types/shared/content_delta.py b/src/llama_stack_client/types/shared/content_delta.py index e5936990..7ed58d13 100644 --- a/src/llama_stack_client/types/shared/content_delta.py +++ b/src/llama_stack_client/types/shared/content_delta.py @@ -5,9 +5,9 @@ from ..._utils import PropertyInfo from ..._models import BaseModel -from .tool_call_or_string import ToolCallOrString +from .tool_call import ToolCall -__all__ = ["ContentDelta", "TextDelta", "ImageDelta", "ToolCallDelta"] +__all__ = ["ContentDelta", "TextDelta", "ImageDelta", "ToolCallDelta", "ToolCallDeltaToolCall"] class TextDelta(BaseModel): @@ -26,11 +26,14 @@ class ImageDelta(BaseModel): """Discriminator type of the delta. Always "image" """ +ToolCallDeltaToolCall: TypeAlias = Union[str, ToolCall] + + class ToolCallDelta(BaseModel): parse_status: Literal["started", "in_progress", "failed", "succeeded"] """Current parsing status of the tool call""" - tool_call: ToolCallOrString + tool_call: ToolCallDeltaToolCall """Either an in-progress tool call string or the final parsed tool call""" type: Literal["tool_call"] diff --git a/src/llama_stack_client/types/shared/metric.py b/src/llama_stack_client/types/shared/metric.py new file mode 100644 index 00000000..66ecdaf8 --- /dev/null +++ b/src/llama_stack_client/types/shared/metric.py @@ -0,0 +1,18 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from typing import Optional + +from ..._models import BaseModel + +__all__ = ["Metric"] + + +class Metric(BaseModel): + metric: str + """The name of the metric""" + + value: float + """The numeric value of the metric""" + + unit: Optional[str] = None + """(Optional) The unit of measurement for the metric value""" diff --git a/src/llama_stack_client/types/shared/return_type.py b/src/llama_stack_client/types/shared/return_type.py deleted file mode 100644 index 542f9e5c..00000000 --- a/src/llama_stack_client/types/shared/return_type.py +++ /dev/null @@ -1,22 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing_extensions import Literal - -from ..._models import BaseModel - -__all__ = ["ReturnType"] - - -class ReturnType(BaseModel): - type: Literal[ - "string", - "number", - "boolean", - "array", - "object", - "json", - "union", - "chat_completion_input", - "completion_input", - "agent_turn_input", - ] diff --git a/src/llama_stack_client/types/shared/tool_call_or_string.py b/src/llama_stack_client/types/shared/tool_call_or_string.py deleted file mode 100644 index f52a0d98..00000000 --- a/src/llama_stack_client/types/shared/tool_call_or_string.py +++ /dev/null @@ -1,10 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from typing import Union -from typing_extensions import TypeAlias - -from .tool_call import ToolCall - -__all__ = ["ToolCallOrString"] - -ToolCallOrString: TypeAlias = Union[str, ToolCall] diff --git a/src/llama_stack_client/types/shared_params/__init__.py b/src/llama_stack_client/types/shared_params/__init__.py index bd623812..3a0842e8 100644 --- a/src/llama_stack_client/types/shared_params/__init__.py +++ b/src/llama_stack_client/types/shared_params/__init__.py @@ -3,7 +3,6 @@ from .message import Message as Message from .document import Document as Document from .tool_call import ToolCall as ToolCall -from .return_type import ReturnType as ReturnType from .agent_config import AgentConfig as AgentConfig from .query_config import QueryConfig as QueryConfig from .user_message import UserMessage as UserMessage diff --git a/src/llama_stack_client/types/shared_params/return_type.py b/src/llama_stack_client/types/shared_params/return_type.py deleted file mode 100644 index dc039137..00000000 --- a/src/llama_stack_client/types/shared_params/return_type.py +++ /dev/null @@ -1,24 +0,0 @@ -# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. - -from __future__ import annotations - -from typing_extensions import Literal, Required, TypedDict - -__all__ = ["ReturnType"] - - -class ReturnType(TypedDict, total=False): - type: Required[ - Literal[ - "string", - "number", - "boolean", - "array", - "object", - "json", - "union", - "chat_completion_input", - "completion_input", - "agent_turn_input", - ] - ] diff --git a/src/llama_stack_client/types/telemetry_query_metrics_params.py b/src/llama_stack_client/types/telemetry_query_metrics_params.py new file mode 100644 index 00000000..adf3f720 --- /dev/null +++ b/src/llama_stack_client/types/telemetry_query_metrics_params.py @@ -0,0 +1,36 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from __future__ import annotations + +from typing import Iterable +from typing_extensions import Literal, Required, TypedDict + +__all__ = ["TelemetryQueryMetricsParams", "LabelMatcher"] + + +class TelemetryQueryMetricsParams(TypedDict, total=False): + query_type: Required[Literal["range", "instant"]] + """The type of query to perform.""" + + start_time: Required[int] + """The start time of the metric to query.""" + + end_time: int + """The end time of the metric to query.""" + + granularity: str + """The granularity of the metric to query.""" + + label_matchers: Iterable[LabelMatcher] + """The label matchers to apply to the metric.""" + + +class LabelMatcher(TypedDict, total=False): + name: Required[str] + """The name of the label to match""" + + operator: Required[Literal["=", "!=", "=~", "!~"]] + """The comparison operator to use for matching""" + + value: Required[str] + """The value to match against""" diff --git a/src/llama_stack_client/types/telemetry_query_metrics_response.py b/src/llama_stack_client/types/telemetry_query_metrics_response.py new file mode 100644 index 00000000..e9f4264e --- /dev/null +++ b/src/llama_stack_client/types/telemetry_query_metrics_response.py @@ -0,0 +1,45 @@ +# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. + +from typing import List +from typing_extensions import TypeAlias + +from .._models import BaseModel + +__all__ = [ + "TelemetryQueryMetricsResponse", + "TelemetryQueryMetricsResponseItem", + "TelemetryQueryMetricsResponseItemLabel", + "TelemetryQueryMetricsResponseItemValue", +] + + +class TelemetryQueryMetricsResponseItemLabel(BaseModel): + name: str + """The name of the label""" + + value: str + """The value of the label""" + + +class TelemetryQueryMetricsResponseItemValue(BaseModel): + timestamp: int + """Unix timestamp when the metric value was recorded""" + + unit: str + + value: float + """The numeric value of the metric at this timestamp""" + + +class TelemetryQueryMetricsResponseItem(BaseModel): + labels: List[TelemetryQueryMetricsResponseItemLabel] + """List of labels associated with this metric series""" + + metric: str + """The name of the metric""" + + values: List[TelemetryQueryMetricsResponseItemValue] + """List of data points in chronological order""" + + +TelemetryQueryMetricsResponse: TypeAlias = List[TelemetryQueryMetricsResponseItem] diff --git a/tests/api_resources/test_telemetry.py b/tests/api_resources/test_telemetry.py index 14a8801c..ea123787 100644 --- a/tests/api_resources/test_telemetry.py +++ b/tests/api_resources/test_telemetry.py @@ -15,6 +15,7 @@ TelemetryQuerySpansResponse, TelemetryGetSpanTreeResponse, TelemetryQueryTracesResponse, + TelemetryQueryMetricsResponse, ) from llama_stack_client._utils import parse_datetime @@ -228,6 +229,75 @@ def test_streaming_response_log_event(self, client: LlamaStackClient) -> None: assert cast(Any, response.is_closed) is True + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + def test_method_query_metrics(self, client: LlamaStackClient) -> None: + telemetry = client.telemetry.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + def test_method_query_metrics_with_all_params(self, client: LlamaStackClient) -> None: + telemetry = client.telemetry.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + end_time=0, + granularity="granularity", + label_matchers=[ + { + "name": "name", + "operator": "=", + "value": "value", + } + ], + ) + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + def test_raw_response_query_metrics(self, client: LlamaStackClient) -> None: + response = client.telemetry.with_raw_response.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + telemetry = response.parse() + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + def test_streaming_response_query_metrics(self, client: LlamaStackClient) -> None: + with client.telemetry.with_streaming_response.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + telemetry = response.parse() + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + def test_path_params_query_metrics(self, client: LlamaStackClient) -> None: + with pytest.raises(ValueError, match=r"Expected a non-empty value for `metric_name` but received ''"): + client.telemetry.with_raw_response.query_metrics( + metric_name="", + query_type="range", + start_time=0, + ) + @pytest.mark.skip(reason="unsupported query params in java / kotlin") @parametrize def test_method_query_spans(self, client: LlamaStackClient) -> None: @@ -625,6 +695,75 @@ async def test_streaming_response_log_event(self, async_client: AsyncLlamaStackC assert cast(Any, response.is_closed) is True + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + async def test_method_query_metrics(self, async_client: AsyncLlamaStackClient) -> None: + telemetry = await async_client.telemetry.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + async def test_method_query_metrics_with_all_params(self, async_client: AsyncLlamaStackClient) -> None: + telemetry = await async_client.telemetry.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + end_time=0, + granularity="granularity", + label_matchers=[ + { + "name": "name", + "operator": "=", + "value": "value", + } + ], + ) + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + async def test_raw_response_query_metrics(self, async_client: AsyncLlamaStackClient) -> None: + response = await async_client.telemetry.with_raw_response.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) + + assert response.is_closed is True + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + telemetry = await response.parse() + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + async def test_streaming_response_query_metrics(self, async_client: AsyncLlamaStackClient) -> None: + async with async_client.telemetry.with_streaming_response.query_metrics( + metric_name="metric_name", + query_type="range", + start_time=0, + ) as response: + assert not response.is_closed + assert response.http_request.headers.get("X-Stainless-Lang") == "python" + + telemetry = await response.parse() + assert_matches_type(TelemetryQueryMetricsResponse, telemetry, path=["response"]) + + assert cast(Any, response.is_closed) is True + + @pytest.mark.skip(reason="unsupported query params in java / kotlin") + @parametrize + async def test_path_params_query_metrics(self, async_client: AsyncLlamaStackClient) -> None: + with pytest.raises(ValueError, match=r"Expected a non-empty value for `metric_name` but received ''"): + await async_client.telemetry.with_raw_response.query_metrics( + metric_name="", + query_type="range", + start_time=0, + ) + @pytest.mark.skip(reason="unsupported query params in java / kotlin") @parametrize async def 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