diff --git a/.craft.yml b/.craft.yml index ea98f2d402..7c5debbc33 100644 --- a/.craft.yml +++ b/.craft.yml @@ -1,4 +1,5 @@ -minVersion: 2.17.0 +minVersion: 2.21.1 +preReleaseCommand: bash scripts/bump-version.sh targets: - name: pypi includeNames: /^sentry[_\-]sdk.*$/ @@ -30,5 +31,12 @@ targets: license: MIT - name: sentry-pypi internalPypiRepo: getsentry/pypi -changelog: CHANGELOG.md -changelogPolicy: auto +artifactProvider: + name: github + config: + artifacts: + CI: + - 'artifact-*' +changelog: + filePath: CHANGELOG.md + policy: auto diff --git a/.github/release.yml b/.github/release.yml index 4383f70e7d..42c8c0179e 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -5,33 +5,37 @@ changelog: authors: - dependabot categories: + - title: Breaking Changes 🛠 + commit_patterns: + - "^(?\\w+(?:\\((?[^)]+)\\))?!:\\s*)" + semver: major - title: New Features ✨ labels: - "Changelog: Feature" commit_patterns: - - "^feat\\b" + - "^(?feat(?:\\((?[^)]+)\\))?!?:\\s*)" semver: minor - title: Bug Fixes 🐛 labels: - "Changelog: Bugfix" commit_patterns: - - "^(fix|bugfix)\\b" + - "^(?(?:fix|bugfix)(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch - title: Deprecations 🏗️ labels: - "Changelog: Deprecation" commit_patterns: - - "deprecat" # deprecation, deprecated + - "^(?deprecat(?:ion|ed|e)(?:\\((?[^)]+)\\))?!?:?\\s*)" semver: patch - title: Documentation 📚 labels: - "Changelog: Docs" commit_patterns: - - "^docs?\\b" + - "^(?docs?(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch - title: Internal Changes 🔧 labels: - "Changelog: Internal" commit_patterns: - - "^(build|ref|chore|ci|tests?)\\b" + - "^(?(?:build|refactor|meta|chore|ci|ref|perf|tests?)(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c3fc1ae316..90b3b1c3a7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -61,8 +61,6 @@ jobs: path: | dist/* if-no-files-found: 'error' - # since this artifact will be merged, compression is not necessary - compression-level: '0' docs: name: Build SDK API Doc @@ -85,17 +83,3 @@ jobs: path: | docs/_build/gh-pages.zip if-no-files-found: 'error' - # since this artifact will be merged, compression is not necessary - compression-level: '0' - - merge: - name: Create Release Artifact - runs-on: ubuntu-latest - needs: [build_lambda_layer, docs] - steps: - - uses: actions/upload-artifact/merge@v6 - with: - # Craft expects release assets from github to be a single artifact named after the sha. - name: ${{ github.sha }} - pattern: artifact-* - delete-merged: true diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index d640b39e0a..fe56354e7d 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -31,7 +31,7 @@ jobs: token: ${{ steps.token.outputs.token }} fetch-depth: 0 - name: Prepare release - uses: getsentry/craft@fd370d4d54bec9ff07f909d88a3c4aec6f0ba22b # v2 + uses: getsentry/craft@beea4aba589c66381258cbd131c5551ae8245b82 # v2 env: GITHUB_TOKEN: ${{ steps.token.outputs.token }} with: diff --git a/.github/workflows/test-integrations-agents.yml b/.github/workflows/test-integrations-agents.yml index 2ca67de7a0..a05649a5f0 100644 --- a/.github/workflows/test-integrations-agents.yml +++ b/.github/workflows/test-integrations-agents.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -69,21 +72,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Agents tests passed diff --git a/.github/workflows/test-integrations-ai-workflow.yml b/.github/workflows/test-integrations-ai-workflow.yml index d8ca4dff84..7cd4cb86df 100644 --- a/.github/workflows/test-integrations-ai-workflow.yml +++ b/.github/workflows/test-integrations-ai-workflow.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -73,21 +76,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All AI Workflow tests passed diff --git a/.github/workflows/test-integrations-ai.yml b/.github/workflows/test-integrations-ai.yml index 380acee799..0b305a3775 100644 --- a/.github/workflows/test-integrations-ai.yml +++ b/.github/workflows/test-integrations-ai.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -89,21 +92,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All AI tests passed diff --git a/.github/workflows/test-integrations-cloud.yml b/.github/workflows/test-integrations-cloud.yml index d3a2526ff7..d57034d4e3 100644 --- a/.github/workflows/test-integrations-cloud.yml +++ b/.github/workflows/test-integrations-cloud.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -85,21 +88,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Cloud tests passed diff --git a/.github/workflows/test-integrations-common.yml b/.github/workflows/test-integrations-common.yml index 244c336e8f..9b333435bd 100644 --- a/.github/workflows/test-integrations-common.yml +++ b/.github/workflows/test-integrations-common.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -65,21 +68,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Common tests passed diff --git a/.github/workflows/test-integrations-dbs.yml b/.github/workflows/test-integrations-dbs.yml index d565203253..c27d728b98 100644 --- a/.github/workflows/test-integrations-dbs.yml +++ b/.github/workflows/test-integrations-dbs.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -63,7 +66,7 @@ jobs: python-version: ${{ matrix.python-version }} allow-prereleases: true - name: "Setup ClickHouse Server" - uses: getsentry/action-clickhouse-in-ci@v1.6 + uses: getsentry/action-clickhouse-in-ci@v1.7 - name: Setup Test Env run: | pip install "coverage[toml]" tox @@ -105,21 +108,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All DBs tests passed diff --git a/.github/workflows/test-integrations-flags.yml b/.github/workflows/test-integrations-flags.yml index c571a14877..dded26658a 100644 --- a/.github/workflows/test-integrations-flags.yml +++ b/.github/workflows/test-integrations-flags.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -77,21 +80,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Flags tests passed diff --git a/.github/workflows/test-integrations-gevent.yml b/.github/workflows/test-integrations-gevent.yml index be01d7297e..525140dfa7 100644 --- a/.github/workflows/test-integrations-gevent.yml +++ b/.github/workflows/test-integrations-gevent.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -65,21 +68,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Gevent tests passed diff --git a/.github/workflows/test-integrations-graphql.yml b/.github/workflows/test-integrations-graphql.yml index 20429390e8..322a95ff54 100644 --- a/.github/workflows/test-integrations-graphql.yml +++ b/.github/workflows/test-integrations-graphql.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -77,21 +80,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All GraphQL tests passed diff --git a/.github/workflows/test-integrations-mcp.yml b/.github/workflows/test-integrations-mcp.yml index 4496773d3a..4b576a897f 100644 --- a/.github/workflows/test-integrations-mcp.yml +++ b/.github/workflows/test-integrations-mcp.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -69,21 +72,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All MCP tests passed diff --git a/.github/workflows/test-integrations-misc.yml b/.github/workflows/test-integrations-misc.yml index efba0f670c..021d6cda79 100644 --- a/.github/workflows/test-integrations-misc.yml +++ b/.github/workflows/test-integrations-misc.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -97,21 +100,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Misc tests passed diff --git a/.github/workflows/test-integrations-network.yml b/.github/workflows/test-integrations-network.yml index c36cd348f8..ee4579f50f 100644 --- a/.github/workflows/test-integrations-network.yml +++ b/.github/workflows/test-integrations-network.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -73,21 +76,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Network tests passed diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml index ead4ab0617..bab5ddf335 100644 --- a/.github/workflows/test-integrations-tasks.yml +++ b/.github/workflows/test-integrations-tasks.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -100,21 +103,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Tasks tests passed diff --git a/.github/workflows/test-integrations-web-1.yml b/.github/workflows/test-integrations-web-1.yml index 599c524f0e..82632632e7 100644 --- a/.github/workflows/test-integrations-web-1.yml +++ b/.github/workflows/test-integrations-web-1.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -95,21 +98,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Web 1 tests passed diff --git a/.github/workflows/test-integrations-web-2.yml b/.github/workflows/test-integrations-web-2.yml index 4911d319ea..9dec6bff24 100644 --- a/.github/workflows/test-integrations-web-2.yml +++ b/.github/workflows/test-integrations-web-2.yml @@ -17,6 +17,9 @@ concurrency: cancel-in-progress: true permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: ${{ github.sha }} CACHED_BUILD_PATHS: | @@ -101,21 +104,13 @@ jobs: run: | coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: ${{ !cancelled() }} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: ${{ secrets.CODECOV_TOKEN }} + token: ${{ secrets.GITHUB_TOKEN }} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - name: Upload test results to Codecov - if: ${{ !cancelled() }} - uses: codecov/test-results-action@v1 - with: - token: ${{ secrets.CODECOV_TOKEN }} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true check_required_tests: name: All Web 2 tests passed diff --git a/CHANGELOG.md b/CHANGELOG.md index 7840cfa595..6dbc3bab9c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,98 @@ # Changelog +## 2.53.0 + +### Bug Fixes 🐛 + +#### Openai Agents + +- Patch `execute_final_output()` functions following library refactor by @alexander-alderman-webb in [#5453](https://github.com/getsentry/sentry-python/pull/5453) +- Patch `execute_handoffs()` functions following library refactor by @alexander-alderman-webb in [#5452](https://github.com/getsentry/sentry-python/pull/5452) +- Patch `run_single_turn_streamed()` functions following library refactor by @alexander-alderman-webb in [#5451](https://github.com/getsentry/sentry-python/pull/5451) +- Patch `run_single_turn()` functions following library refactor by @alexander-alderman-webb in [#5450](https://github.com/getsentry/sentry-python/pull/5450) +- Patch models functions following library refactor by @alexander-alderman-webb in [#5449](https://github.com/getsentry/sentry-python/pull/5449) +- Patch tool functions following library refactor by @alexander-alderman-webb in [#5445](https://github.com/getsentry/sentry-python/pull/5445) + +#### Other + +- Close the connection we're reading driver_type from by @sentrivana in [#5427](https://github.com/getsentry/sentry-python/pull/5427) + +### Documentation 📚 + +- Document `openai-agents` control-flow by @alexander-alderman-webb in [#5447](https://github.com/getsentry/sentry-python/pull/5447) + +### Internal Changes 🔧 + +#### Openai Agents + +- New tool field and library error log by @alexander-alderman-webb in [#5454](https://github.com/getsentry/sentry-python/pull/5454) +- Avoid calling SDK-internal functions by @alexander-alderman-webb in [#5437](https://github.com/getsentry/sentry-python/pull/5437) + +#### Other + +- Improve Craft config with title stripping and artifact filtering by @BYK in [#5444](https://github.com/getsentry/sentry-python/pull/5444) +- Use fixed clickhouse action, remove aws-sam-cli dependency by @sentrivana in [#5457](https://github.com/getsentry/sentry-python/pull/5457) +- Remove references to unsupported attribute types by @alexander-alderman-webb in [#5425](https://github.com/getsentry/sentry-python/pull/5425) +- Pin setuptools for linting and chalice tests by @alexander-alderman-webb in [#5438](https://github.com/getsentry/sentry-python/pull/5438) + +## 2.52.0 + +### New Features ✨ + +#### Other + +- feat(integration): add `gen_ai.conversation.id` if available by @constantinius in [#5307](https://github.com/getsentry/sentry-python/pull/5307) + +### Bug Fixes 🐛 + +#### Google Genai + +- fix(google-genai): Token reporting by @alexander-alderman-webb in [#5404](https://github.com/getsentry/sentry-python/pull/5404) +- fix(google-genai): deactivate google genai when langchain is used by @shellmayr in [#5389](https://github.com/getsentry/sentry-python/pull/5389) + +#### Mcp + +- fix(mcp): Nest MCP spans under HTTP transactions by @alexander-alderman-webb in [#5292](https://github.com/getsentry/sentry-python/pull/5292) +- fix(mcp): Handle all awaitable return types by @alexander-alderman-webb in [#5415](https://github.com/getsentry/sentry-python/pull/5415) + +#### Other + +- fix(anthropic): Token reporting by @alexander-alderman-webb in [#5403](https://github.com/getsentry/sentry-python/pull/5403) +- fix(arq): handle settings_cls passed as keyword argument by @nc9 in [#5393](https://github.com/getsentry/sentry-python/pull/5393) +- fix(dramatiq): cleanup isolated scope and transaction when message is skipped by @frankie567 in [#5346](https://github.com/getsentry/sentry-python/pull/5346) +- fix(openai): Token reporting by @alexander-alderman-webb in [#5406](https://github.com/getsentry/sentry-python/pull/5406) +- fix(openai-agents): Inject propagation headers for `HostedMCPTool` when streaming by @alexander-alderman-webb in [#5405](https://github.com/getsentry/sentry-python/pull/5405) +- fix: Fix list attribute type by @sentrivana in [#5417](https://github.com/getsentry/sentry-python/pull/5417) +- fix: Adapt to new packaging in toxgen by @sentrivana in [#5382](https://github.com/getsentry/sentry-python/pull/5382) + +### Internal Changes 🔧 + +#### Fastmcp + +- test(fastmcp): Wrap prompt in `Message` by @alexander-alderman-webb in [#5411](https://github.com/getsentry/sentry-python/pull/5411) +- test(fastmcp): Remove `test_fastmcp_without_request_context()` by @alexander-alderman-webb in [#5412](https://github.com/getsentry/sentry-python/pull/5412) +- test(fastmcp): Use `AsyncClient` for SSE by @alexander-alderman-webb in [#5400](https://github.com/getsentry/sentry-python/pull/5400) +- test(fastmcp): Use `TestClient` for Streamable HTTP by @alexander-alderman-webb in [#5384](https://github.com/getsentry/sentry-python/pull/5384) +- test(fastmcp): Simulate stdio transport with memory streams by @alexander-alderman-webb in [#5333](https://github.com/getsentry/sentry-python/pull/5333) + +#### Mcp + +- test(mcp): Use `AsyncClient` for SSE by @alexander-alderman-webb in [#5396](https://github.com/getsentry/sentry-python/pull/5396) +- test(mcp): Use `TestClient` for Streamable HTTP by @alexander-alderman-webb in [#5383](https://github.com/getsentry/sentry-python/pull/5383) +- test(mcp): Remove unused stdio helpers by @alexander-alderman-webb in [#5409](https://github.com/getsentry/sentry-python/pull/5409) +- test(mcp): Simulate stdio transport with memory streams by @alexander-alderman-webb in [#5329](https://github.com/getsentry/sentry-python/pull/5329) + +#### Other + +- ci: Fix lint step by @sentrivana in [#5418](https://github.com/getsentry/sentry-python/pull/5418) +- ci: 🤖 Update test matrix with new releases (02/02) by @github-actions in [#5413](https://github.com/getsentry/sentry-python/pull/5413) +- ci: Update tox and pin packaging version for tox by @alexander-alderman-webb in [#5381](https://github.com/getsentry/sentry-python/pull/5381) +- ci: migration to the new codecov action by @MathurAditya724 in [#5392](https://github.com/getsentry/sentry-python/pull/5392) + +### Other + +- Revert "feat(ai): Add original input length meta attribute (#5375)" by @alexander-alderman-webb in [#5419](https://github.com/getsentry/sentry-python/pull/5419) + ## 2.51.0 ### New Features ✨ diff --git a/codecov.yml b/codecov.yml index b7abcf8c86..4cb22edee8 100644 --- a/codecov.yml +++ b/codecov.yml @@ -10,18 +10,7 @@ ignore: - "tests" - "sentry_sdk/_types.py" -# Read more here: https://docs.codecov.com/docs/pull-request-comments -comment: - after_n_builds: 99 - layout: 'diff, files' - # Update, if comment exists. Otherwise post new. - behavior: default - # Comments will only post when coverage changes. Furthermore, if a comment - # already exists, and a newer commit results in no coverage change for the - # entire pull, the comment will be deleted. - require_changes: true - require_base: true # must have a base report to post - require_head: true # must have a head report to post +comment: true github_checks: annotations: false diff --git a/docs/conf.py b/docs/conf.py index 2049969d4c..d74a0c4d38 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -31,7 +31,7 @@ copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year) author = "Sentry Team and Contributors" -release = "2.51.0" +release = "2.53.0" version = ".".join(release.split(".")[:2]) # The short X.Y version. diff --git a/requirements-linting.txt b/requirements-linting.txt index 56c26df8de..84f846021a 100644 --- a/requirements-linting.txt +++ b/requirements-linting.txt @@ -18,3 +18,4 @@ statsig UnleashClient typer strawberry-graphql +setuptools<82 diff --git a/scripts/bump-version.sh b/scripts/bump-version.sh index 7d4a817cf6..c2153043fd 100755 --- a/scripts/bump-version.sh +++ b/scripts/bump-version.sh @@ -9,11 +9,8 @@ fi SCRIPT_DIR="$( dirname "$0" )" cd $SCRIPT_DIR/.. -OLD_VERSION="${1}" -NEW_VERSION="${2}" - -echo "Current version: $OLD_VERSION" -echo "Bumping version: $NEW_VERSION" +echo "Current version: $CRAFT_OLD_VERSION" +echo "Bumping version: $CRAFT_NEW_VERSION" function replace() { ! grep "$2" $3 @@ -21,6 +18,6 @@ function replace() { grep "$2" $3 # verify that replacement was successful } -replace "version=\"$OLD_VERSION\"" "version=\"$NEW_VERSION\"" ./setup.py -replace "VERSION = \"$OLD_VERSION\"" "VERSION = \"$NEW_VERSION\"" ./sentry_sdk/consts.py -replace "release = \"$OLD_VERSION\"" "release = \"$NEW_VERSION\"" ./docs/conf.py +replace "version=\"$CRAFT_OLD_VERSION\"" "version=\"$CRAFT_NEW_VERSION\"" ./setup.py +replace "VERSION = \"$CRAFT_OLD_VERSION\"" "VERSION = \"$CRAFT_NEW_VERSION\"" ./sentry_sdk/consts.py +replace "release = \"$CRAFT_OLD_VERSION\"" "release = \"$CRAFT_NEW_VERSION\"" ./docs/conf.py diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index 37d3a6a64d..c6921754b4 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -74,7 +74,7 @@ "chalice": { "package": "chalice", "deps": { - "*": ["pytest-chalice"], + "*": ["pytest-chalice", "setuptools<82"], }, "num_versions": 2, }, diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 383089b3f0..17ec3c78da 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ b/scripts/populate_tox/package_dependencies.jsonl @@ -1,33 +1,37 @@ -{"name": "anthropic", "version": "0.76.0", "dependencies": [{"download_info": {"url": "https://files.pythonhosted.org/packages/e5/70/7b0fd9c1a738f59d3babe2b4212031c34ab7d0fda4ffef15b58a55c5bcea/anthropic-0.76.0-py3-none-any.whl"}}, {"download_info": {"url": 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It's convenient to be able to set + # attributes on a Version in toxgen, but we can't because the class now + # defines __slots__. By rewrapping Version in this custom class, we get + # around that. + pass + + @dataclass(order=True) class ThreadedVersion: version: Version @@ -218,7 +226,7 @@ def _save_to_package_dependencies_cache( def _prefilter_releases( integration: str, releases: dict[str, dict], -) -> tuple[list[Version], Optional[Version]]: +) -> tuple[list[PackageVersion], Optional[PackageVersion]]: """ Filter `releases`, removing releases that are for sure unsupported. @@ -238,7 +246,7 @@ def _prefilter_releases( min_supported = _MIN_VERSIONS.get(integration_name) if min_supported is not None: - min_supported = Version(".".join(map(str, min_supported))) + min_supported = PackageVersion(".".join(map(str, min_supported))) else: print( f" {integration} doesn't have a minimum version defined in " @@ -291,10 +299,10 @@ def _prefilter_releases( ): # Don't save all patch versions of a release, just the newest one if version.micro > saved_version.micro: - filtered_releases[i] = version + filtered_releases[i] = PackageVersion(str(version)) break else: - filtered_releases.append(version) + filtered_releases.append(PackageVersion(str(version))) filtered_releases.sort() @@ -302,14 +310,14 @@ def _prefilter_releases( # than the last released version); if not, don't consider it if last_prerelease is not None: if not filtered_releases or last_prerelease > filtered_releases[-1]: - return filtered_releases, last_prerelease + return filtered_releases, PackageVersion(str(last_prerelease)) return filtered_releases, None def get_supported_releases( integration: str, pypi_data: dict -) -> tuple[list[Version], Optional[Version]]: +) -> tuple[list[PackageVersion], Optional[PackageVersion]]: """ Get a list of releases that are currently supported by the SDK. @@ -331,7 +339,7 @@ def get_supported_releases( pypi_data["releases"], ) - def _supports_lowest(release: Version) -> bool: + def _supports_lowest(release: PackageVersion) -> bool: time.sleep(PYPI_COOLDOWN) # don't DoS PYPI pypi_data = fetch_release(package, release) @@ -782,7 +790,7 @@ def _compare_min_version_with_defined( def _add_python_versions_to_release( - integration: str, package: str, release: Version + integration: str, package: str, release: PackageVersion ) -> None: release_pypi_data = fetch_release(package, release) if release_pypi_data is None: diff --git a/scripts/populate_tox/releases.jsonl b/scripts/populate_tox/releases.jsonl index ca1ac401c4..be7c80d4c1 100644 --- a/scripts/populate_tox/releases.jsonl +++ b/scripts/populate_tox/releases.jsonl @@ -5,9 +5,9 @@ {"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Web Environment", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", 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{"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "sdist", "filename": "uuid_utils-0.14.0.tar.gz"}]} diff --git a/scripts/populate_tox/requirements.txt b/scripts/populate_tox/requirements.txt index 0402fac5ab..77f67f24d2 100644 --- a/scripts/populate_tox/requirements.txt +++ b/scripts/populate_tox/requirements.txt @@ -1,3 +1,3 @@ jinja2 -packaging +packaging<26.0 requests diff --git a/scripts/populate_tox/tox.jinja b/scripts/populate_tox/tox.jinja index 7e49c2156d..e623c43e89 100755 --- a/scripts/populate_tox/tox.jinja +++ b/scripts/populate_tox/tox.jinja @@ -112,7 +112,6 @@ deps = # AWS Lambda aws_lambda: aws-cdk-lib - aws_lambda: aws-sam-cli aws_lambda: boto3 aws_lambda: fastapi aws_lambda: requests diff --git a/scripts/split_tox_gh_actions/templates/base.jinja b/scripts/split_tox_gh_actions/templates/base.jinja index 8d618d228c..c3bc528a7c 100644 --- a/scripts/split_tox_gh_actions/templates/base.jinja +++ b/scripts/split_tox_gh_actions/templates/base.jinja @@ -23,6 +23,9 @@ concurrency: permissions: contents: read + actions: read + pull-requests: write + statuses: write env: BUILD_CACHE_KEY: {% raw %}${{ github.sha }}{% endraw %} diff --git a/scripts/split_tox_gh_actions/templates/test_group.jinja b/scripts/split_tox_gh_actions/templates/test_group.jinja index 3e1ab30290..bec1a0f835 100644 --- a/scripts/split_tox_gh_actions/templates/test_group.jinja +++ b/scripts/split_tox_gh_actions/templates/test_group.jinja @@ -42,7 +42,7 @@ # Use Docker container only for Python 3.6 {% raw %}container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}{% endraw %} steps: - - uses: actions/checkout@v6.0.1 + - uses: actions/checkout@v6.0.2 - uses: actions/setup-python@v6 {% raw %}if: ${{ matrix.python-version != '3.6' }}{% endraw %} with: @@ -51,7 +51,7 @@ {% if needs_clickhouse %} - name: "Setup ClickHouse Server" - uses: getsentry/action-clickhouse-in-ci@v1.6 + uses: getsentry/action-clickhouse-in-ci@v1.7 {% endif %} {% if needs_redis %} @@ -94,20 +94,11 @@ coverage combine .coverage-sentry-* coverage xml - - name: Upload coverage to Codecov + - name: Parse and Upload Coverage if: {% raw %}${{ !cancelled() }}{% endraw %} - uses: codecov/codecov-action@v5.5.2 + uses: getsentry/codecov-action@main with: - token: {% raw %}${{ secrets.CODECOV_TOKEN }}{% endraw %} + token: {% raw %}${{ secrets.GITHUB_TOKEN }}{% endraw %} files: coverage.xml - # make sure no plugins alter our coverage reports - plugins: noop - verbose: true - - - name: Upload test results to Codecov - if: {% raw %}${{ !cancelled() }}{% endraw %} - uses: codecov/test-results-action@v1 - with: - token: {% raw %}${{ secrets.CODECOV_TOKEN }}{% endraw %} - files: .junitxml + junit-xml-pattern: .junitxml verbose: true diff --git a/sentry_sdk/_span_batcher.py b/sentry_sdk/_span_batcher.py new file mode 100644 index 0000000000..947eca3806 --- /dev/null +++ b/sentry_sdk/_span_batcher.py @@ -0,0 +1,128 @@ +import threading +from collections import defaultdict +from datetime import datetime, timezone +from typing import TYPE_CHECKING + +from sentry_sdk._batcher import Batcher +from sentry_sdk.consts import SPANSTATUS +from sentry_sdk.envelope import Envelope, Item, PayloadRef +from sentry_sdk.utils import format_timestamp, serialize_attribute, safe_repr + +if TYPE_CHECKING: + from typing import Any, Callable, Optional + from sentry_sdk.traces import StreamedSpan + from sentry_sdk._types import SerializedAttributeValue + + +class SpanBatcher(Batcher["StreamedSpan"]): + # TODO[span-first]: size-based flushes + # TODO[span-first]: adjust flush/drop defaults + MAX_BEFORE_FLUSH = 1000 + MAX_BEFORE_DROP = 5000 + FLUSH_WAIT_TIME = 5.0 + + TYPE = "span" + CONTENT_TYPE = "application/vnd.sentry.items.span.v2+json" + + def __init__( + self, + capture_func: "Callable[[Envelope], None]", + record_lost_func: "Callable[..., None]", + ) -> None: + # Spans from different traces cannot be emitted in the same envelope + # since the envelope contains a shared trace header. That's why we bucket + # by trace_id, so that we can then send the buckets each in its own + # envelope. + # trace_id -> span buffer + self._span_buffer: dict[str, list["StreamedSpan"]] = defaultdict(list) + self._capture_func = capture_func + self._record_lost_func = record_lost_func + self._running = True + self._lock = threading.Lock() + + self._flush_event: "threading.Event" = threading.Event() + + self._flusher: "Optional[threading.Thread]" = None + self._flusher_pid: "Optional[int]" = None + + def get_size(self) -> int: + # caller is responsible for locking before checking this + return sum(len(buffer) for buffer in self._span_buffer.values()) + + def add(self, span: "StreamedSpan") -> None: + if not self._ensure_thread() or self._flusher is None: + return None + + with self._lock: + size = self.get_size() + if size >= self.MAX_BEFORE_DROP: + self._record_lost_func( + reason="queue_overflow", + data_category="span", + quantity=1, + ) + return None + + self._span_buffer[span.trace_id].append(span) + if size + 1 >= self.MAX_BEFORE_FLUSH: + self._flush_event.set() + + @staticmethod + def _to_transport_format(item: "StreamedSpan") -> "Any": + # TODO[span-first] + res: "dict[str, Any]" = { + "span_id": item.span_id, + "name": item._name, + "status": item._status, + } + + if item._attributes: + res["attributes"] = { + k: serialize_attribute(v) for (k, v) in item._attributes.items() + } + + return res + + def _flush(self) -> None: + with self._lock: + if len(self._span_buffer) == 0: + return None + + envelopes = [] + for trace_id, spans in self._span_buffer.items(): + if spans: + # TODO[span-first] + # dsc = spans[0].dynamic_sampling_context() + dsc = None + + envelope = Envelope( + headers={ + "sent_at": format_timestamp(datetime.now(timezone.utc)), + "trace": dsc, + } + ) + + envelope.add_item( + Item( + type="span", + content_type="application/vnd.sentry.items.span.v2+json", + headers={ + "item_count": len(spans), + }, + payload=PayloadRef( + json={ + "items": [ + self._to_transport_format(span) + for span in spans + ] + } + ), + ) + ) + + envelopes.append(envelope) + + self._span_buffer.clear() + + for envelope in envelopes: + self._capture_func(envelope) diff --git a/sentry_sdk/_types.py b/sentry_sdk/_types.py index ecb8abcd10..e5f791fdf0 100644 --- a/sentry_sdk/_types.py +++ b/sentry_sdk/_types.py @@ -241,10 +241,7 @@ class SDKInfo(TypedDict): "boolean", "double", "integer", - "string[]", - "boolean[]", - "double[]", - "integer[]", + "array", ], "value": AttributeValue, }, diff --git a/sentry_sdk/ai/_openai_completions_api.py b/sentry_sdk/ai/_openai_completions_api.py index 8150925b21..2902af304b 100644 --- a/sentry_sdk/ai/_openai_completions_api.py +++ b/sentry_sdk/ai/_openai_completions_api.py @@ -4,10 +4,12 @@ if TYPE_CHECKING: from sentry_sdk._types import TextPart + from typing import Union from openai.types.chat import ( ChatCompletionMessageParam, ChatCompletionSystemMessageParam, + ChatCompletionContentPartParam, ) @@ -24,6 +26,25 @@ def _get_system_instructions( return [message for message in messages if _is_system_instruction(message)] +def _get_text_items( + content: "Union[str, Iterable[ChatCompletionContentPartParam]]", +) -> "list[str]": + if isinstance(content, str): + return [content] + + if not isinstance(content, Iterable): + return [] + + text_items = [] + for part in content: + if isinstance(part, dict) and part.get("type") == "text": + text = part.get("text", None) + if text is not None: + text_items.append(text) + + return text_items + + def _transform_system_instructions( system_instructions: "list[ChatCompletionSystemMessageParam]", ) -> "list[TextPart]": @@ -34,15 +55,12 @@ def _transform_system_instructions( continue content = instruction.get("content") + if content is None: + continue - if isinstance(content, str): - instruction_text_parts.append({"type": "text", "content": content}) - - elif isinstance(content, list): - for part in content: - if isinstance(part, dict) and part.get("type") == "text": - text = part.get("text", None) - if text is not None: - instruction_text_parts.append({"type": "text", "content": text}) + text_parts: "list[TextPart]" = [ + {"type": "text", "content": text} for text in _get_text_items(content) + ] + instruction_text_parts += text_parts return instruction_text_parts diff --git a/sentry_sdk/ai/utils.py b/sentry_sdk/ai/utils.py index 684b7323da..5acc501172 100644 --- a/sentry_sdk/ai/utils.py +++ b/sentry_sdk/ai/utils.py @@ -14,7 +14,6 @@ import sentry_sdk from sentry_sdk.utils import logger -from sentry_sdk.consts import SPANDATA MAX_GEN_AI_MESSAGE_BYTES = 20_000 # 20KB # Maximum characters when only a single message is left after bytes truncation @@ -699,8 +698,6 @@ def truncate_and_annotate_messages( if len(messages) > 1: scope._gen_ai_original_message_count[span.span_id] = len(messages) - span.set_data(SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH, len(messages)) - return [truncated_message] diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py index fb14d8e36a..f540a49f35 100644 --- a/sentry_sdk/client.py +++ b/sentry_sdk/client.py @@ -11,6 +11,7 @@ import sentry_sdk from sentry_sdk._compat import PY37, check_uwsgi_thread_support from sentry_sdk._metrics_batcher import MetricsBatcher +from sentry_sdk._span_batcher import SpanBatcher from sentry_sdk.utils import ( AnnotatedValue, ContextVar, @@ -31,6 +32,7 @@ ) from sentry_sdk.serializer import serialize from sentry_sdk.tracing import trace +from sentry_sdk.tracing_utils import has_span_streaming_enabled from sentry_sdk.transport import BaseHttpTransport, make_transport from sentry_sdk.consts import ( SPANDATA, @@ -67,6 +69,7 @@ from sentry_sdk.scope import Scope from sentry_sdk.session import Session from sentry_sdk.spotlight import SpotlightClient + from sentry_sdk.traces import StreamedSpan from sentry_sdk.transport import Transport, Item from sentry_sdk._log_batcher import LogBatcher from sentry_sdk._metrics_batcher import MetricsBatcher @@ -188,6 +191,7 @@ def __init__(self, options: "Optional[Dict[str, Any]]" = None) -> None: self.monitor: "Optional[Monitor]" = None self.log_batcher: "Optional[LogBatcher]" = None self.metrics_batcher: "Optional[MetricsBatcher]" = None + self.span_batcher: "Optional[SpanBatcher]" = None self.integrations: "dict[str, Integration]" = {} def __getstate__(self, *args: "Any", **kwargs: "Any") -> "Any": @@ -224,6 +228,9 @@ def _capture_log(self, log: "Log", scope: "Scope") -> None: def _capture_metric(self, metric: "Metric", scope: "Scope") -> None: pass + def _capture_span(self, span: "StreamedSpan", scope: "Scope") -> None: + pass + def capture_session(self, *args: "Any", **kwargs: "Any") -> None: return None @@ -399,6 +406,13 @@ def _record_lost_event( record_lost_func=_record_lost_event, ) + self.span_batcher = None + if has_span_streaming_enabled(self.options): + self.span_batcher = SpanBatcher( + capture_func=_capture_envelope, + record_lost_func=_record_lost_event, + ) + max_request_body_size = ("always", "never", "small", "medium") if self.options["max_request_body_size"] not in max_request_body_size: raise ValueError( @@ -457,6 +471,8 @@ def _record_lost_event( if ( self.monitor or self.log_batcher + or self.metrics_batcher + or self.span_batcher or has_profiling_enabled(self.options) or isinstance(self.transport, BaseHttpTransport) ): @@ -909,7 +925,10 @@ def capture_event( return return_value def _capture_telemetry( - self, telemetry: "Optional[Union[Log, Metric]]", ty: str, scope: "Scope" + self, + telemetry: "Optional[Union[Log, Metric, StreamedSpan]]", + ty: str, + scope: "Scope", ) -> None: # Capture attributes-based telemetry (logs, metrics, spansV2) if telemetry is None: @@ -934,6 +953,8 @@ def _capture_telemetry( batcher = self.log_batcher elif ty == "metric": batcher = self.metrics_batcher # type: ignore + elif ty == "span": + batcher = self.span_batcher # type: ignore if batcher is not None: batcher.add(telemetry) # type: ignore @@ -944,6 +965,9 @@ def _capture_log(self, log: "Optional[Log]", scope: "Scope") -> None: def _capture_metric(self, metric: "Optional[Metric]", scope: "Scope") -> None: self._capture_telemetry(metric, "metric", scope) + def _capture_span(self, span: "Optional[StreamedSpan]", scope: "Scope") -> None: + self._capture_telemetry(span, "span", scope) + def capture_session( self, session: "Session", @@ -993,6 +1017,8 @@ def close( self.log_batcher.kill() if self.metrics_batcher is not None: self.metrics_batcher.kill() + if self.span_batcher is not None: + self.span_batcher.kill() if self.monitor: self.monitor.kill() self.transport.kill() @@ -1018,6 +1044,8 @@ def flush( self.log_batcher.flush() if self.metrics_batcher is not None: self.metrics_batcher.flush() + if self.span_batcher is not None: + self.span_batcher.flush() self.transport.flush(timeout=timeout, callback=callback) def __enter__(self) -> "_Client": diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index f794754b05..e54e42625c 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -82,6 +82,7 @@ class CompressionAlgo(Enum): "before_send_log": Optional[Callable[[Log, Hint], Optional[Log]]], "enable_metrics": Optional[bool], "before_send_metric": Optional[Callable[[Metric, Hint], Optional[Metric]]], + "trace_lifecycle": Optional[Literal["static", "stream"]], }, total=False, ) @@ -464,6 +465,12 @@ class SPANDATA: Example: "ResearchAssistant" """ + GEN_AI_CONVERSATION_ID = "gen_ai.conversation.id" + """ + The unique identifier for the conversation/thread with the AI model. + Example: "conv_abc123" + """ + GEN_AI_CHOICE = "gen_ai.choice" """ The model's response message. @@ -869,14 +876,6 @@ class SPANDATA: Example: "a1b2c3d4e5f6" """ - META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH = ( - "sentry.sdk_meta.gen_ai.input.messages.original_length" - ) - """ - The original number of input non-system instruction messages, before SDK trimming. - Example: 4 - """ - class SPANSTATUS: """ @@ -1491,4 +1490,4 @@ def _get_default_options() -> "dict[str, Any]": del _get_default_options -VERSION = "2.51.0" +VERSION = "2.53.0" diff --git a/sentry_sdk/integrations/__init__.py b/sentry_sdk/integrations/__init__.py index 9c76dfe471..dd12a6011f 100644 --- a/sentry_sdk/integrations/__init__.py +++ b/sentry_sdk/integrations/__init__.py @@ -167,7 +167,7 @@ def iter_default_integrations( _INTEGRATION_DEACTIVATES = { - "langchain": {"openai", "anthropic"}, + "langchain": {"openai", "anthropic", "google_genai"}, "openai_agents": {"openai"}, "pydantic_ai": {"openai", "anthropic"}, } diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py index 74ac71a399..b131e3381d 100644 --- a/sentry_sdk/integrations/anthropic.py +++ b/sentry_sdk/integrations/anthropic.py @@ -50,6 +50,13 @@ from sentry_sdk._types import TextPart +class _RecordedUsage: + output_tokens: int = 0 + input_tokens: int = 0 + cache_write_input_tokens: "Optional[int]" = 0 + cache_read_input_tokens: "Optional[int]" = 0 + + class AnthropicIntegration(Integration): identifier = "anthropic" origin = f"auto.ai.{identifier}" @@ -112,31 +119,15 @@ def _get_token_usage(result: "Messages") -> "tuple[int, int, int, int]": def _collect_ai_data( event: "MessageStreamEvent", model: "str | None", - input_tokens: int, - output_tokens: int, - cache_read_input_tokens: int, - cache_write_input_tokens: int, + usage: "_RecordedUsage", content_blocks: "list[str]", -) -> "tuple[str | None, int, int, int, int, list[str]]": +) -> "tuple[str | None, _RecordedUsage, list[str]]": """ Collect model information, token usage, and collect content blocks from the AI streaming response. """ with capture_internal_exceptions(): if hasattr(event, "type"): - if event.type == "message_start": - usage = event.message.usage - input_tokens += usage.input_tokens - output_tokens += usage.output_tokens - if hasattr(usage, "cache_read_input_tokens") and isinstance( - usage.cache_read_input_tokens, int - ): - cache_read_input_tokens += usage.cache_read_input_tokens - if hasattr(usage, "cache_creation_input_tokens") and isinstance( - usage.cache_creation_input_tokens, int - ): - cache_write_input_tokens += usage.cache_creation_input_tokens - model = event.message.model or model - elif event.type == "content_block_start": + if event.type == "content_block_start": pass elif event.type == "content_block_delta": if hasattr(event.delta, "text"): @@ -145,15 +136,60 @@ def _collect_ai_data( content_blocks.append(event.delta.partial_json) elif event.type == "content_block_stop": pass - elif event.type == "message_delta": - output_tokens += event.usage.output_tokens + + # Token counting logic mirrors anthropic SDK, which also extracts already accumulated tokens. + # https://github.com/anthropics/anthropic-sdk-python/blob/9c485f6966e10ae0ea9eabb3a921d2ea8145a25b/src/anthropic/lib/streaming/_messages.py#L433-L518 + if event.type == "message_start": + model = event.message.model or model + + incoming_usage = event.message.usage + usage.output_tokens = incoming_usage.output_tokens + usage.input_tokens = incoming_usage.input_tokens + + usage.cache_write_input_tokens = getattr( + incoming_usage, "cache_creation_input_tokens", None + ) + usage.cache_read_input_tokens = getattr( + incoming_usage, "cache_read_input_tokens", None + ) + + return ( + model, + usage, + content_blocks, + ) + + # Counterintuitive, but message_delta contains cumulative token counts :) + if event.type == "message_delta": + usage.output_tokens = event.usage.output_tokens + + # Update other usage fields if they exist in the event + input_tokens = getattr(event.usage, "input_tokens", None) + if input_tokens is not None: + usage.input_tokens = input_tokens + + cache_creation_input_tokens = getattr( + event.usage, "cache_creation_input_tokens", None + ) + if cache_creation_input_tokens is not None: + usage.cache_write_input_tokens = cache_creation_input_tokens + + cache_read_input_tokens = getattr( + event.usage, "cache_read_input_tokens", None + ) + if cache_read_input_tokens is not None: + usage.cache_read_input_tokens = cache_read_input_tokens + # TODO: Record event.usage.server_tool_use + + return ( + model, + usage, + content_blocks, + ) return ( model, - input_tokens, - output_tokens, - cache_read_input_tokens, - cache_write_input_tokens, + usage, content_blocks, ) @@ -414,27 +450,18 @@ def _sentry_patched_create_common(f: "Any", *args: "Any", **kwargs: "Any") -> "A def new_iterator() -> "Iterator[MessageStreamEvent]": model = None - input_tokens = 0 - output_tokens = 0 - cache_read_input_tokens = 0 - cache_write_input_tokens = 0 + usage = _RecordedUsage() content_blocks: "list[str]" = [] for event in old_iterator: ( model, - input_tokens, - output_tokens, - cache_read_input_tokens, - cache_write_input_tokens, + usage, content_blocks, ) = _collect_ai_data( event, model, - input_tokens, - output_tokens, - cache_read_input_tokens, - cache_write_input_tokens, + usage, content_blocks, ) yield event @@ -443,37 +470,28 @@ def new_iterator() -> "Iterator[MessageStreamEvent]": span=span, integration=integration, model=model, - input_tokens=input_tokens, - output_tokens=output_tokens, - cache_read_input_tokens=cache_read_input_tokens, - cache_write_input_tokens=cache_write_input_tokens, + input_tokens=usage.input_tokens, + output_tokens=usage.output_tokens, + cache_read_input_tokens=usage.cache_read_input_tokens, + cache_write_input_tokens=usage.cache_write_input_tokens, content_blocks=[{"text": "".join(content_blocks), "type": "text"}], finish_span=True, ) async def new_iterator_async() -> "AsyncIterator[MessageStreamEvent]": model = None - input_tokens = 0 - output_tokens = 0 - cache_read_input_tokens = 0 - cache_write_input_tokens = 0 + usage = _RecordedUsage() content_blocks: "list[str]" = [] async for event in old_iterator: ( model, - input_tokens, - output_tokens, - cache_read_input_tokens, - cache_write_input_tokens, + usage, content_blocks, ) = _collect_ai_data( event, model, - input_tokens, - output_tokens, - cache_read_input_tokens, - cache_write_input_tokens, + usage, content_blocks, ) yield event @@ -482,10 +500,10 @@ async def new_iterator_async() -> "AsyncIterator[MessageStreamEvent]": span=span, integration=integration, model=model, - input_tokens=input_tokens, - output_tokens=output_tokens, - cache_read_input_tokens=cache_read_input_tokens, - cache_write_input_tokens=cache_write_input_tokens, + input_tokens=usage.input_tokens, + output_tokens=usage.output_tokens, + cache_read_input_tokens=usage.cache_read_input_tokens, + cache_write_input_tokens=usage.cache_write_input_tokens, content_blocks=[{"text": "".join(content_blocks), "type": "text"}], finish_span=True, ) diff --git a/sentry_sdk/integrations/arq.py b/sentry_sdk/integrations/arq.py index ee8aa393cf..35c0a9c6f0 100644 --- a/sentry_sdk/integrations/arq.py +++ b/sentry_sdk/integrations/arq.py @@ -185,7 +185,7 @@ def patch_create_worker() -> None: @ensure_integration_enabled(ArqIntegration, old_create_worker) def _sentry_create_worker(*args: "Any", **kwargs: "Any") -> "Worker": - settings_cls = args[0] + settings_cls = args[0] if args else kwargs.get("settings_cls") if isinstance(settings_cls, dict): if "functions" in settings_cls: @@ -200,13 +200,14 @@ def _sentry_create_worker(*args: "Any", **kwargs: "Any") -> "Worker": ] if hasattr(settings_cls, "functions"): - settings_cls.functions = [ - _get_arq_function(func) for func in settings_cls.functions + settings_cls.functions = [ # type: ignore[union-attr] + _get_arq_function(func) + for func in settings_cls.functions # type: ignore[union-attr] ] if hasattr(settings_cls, "cron_jobs"): - settings_cls.cron_jobs = [ + settings_cls.cron_jobs = [ # type: ignore[union-attr] _get_arq_cron_job(cron_job) - for cron_job in (settings_cls.cron_jobs or []) + for cron_job in (settings_cls.cron_jobs or []) # type: ignore[union-attr] ] if "functions" in kwargs: diff --git a/sentry_sdk/integrations/celery/__init__.py b/sentry_sdk/integrations/celery/__init__.py index 2baf250ae3..1b1eb4f380 100644 --- a/sentry_sdk/integrations/celery/__init__.py +++ b/sentry_sdk/integrations/celery/__init__.py @@ -392,10 +392,11 @@ def _inner(*args: "Any", **kwargs: "Any") -> "Any": ) with capture_internal_exceptions(): - span.set_data( - SPANDATA.MESSAGING_SYSTEM, - task.app.connection().transport.driver_type, - ) + with task.app.connection() as conn: + span.set_data( + SPANDATA.MESSAGING_SYSTEM, + conn.transport.driver_type, + ) return f(*args, **kwargs) except Exception: diff --git a/sentry_sdk/integrations/dramatiq.py b/sentry_sdk/integrations/dramatiq.py index ae87de7525..f954d4fb98 100644 --- a/sentry_sdk/integrations/dramatiq.py +++ b/sentry_sdk/integrations/dramatiq.py @@ -188,6 +188,8 @@ def after_process_message( transaction.__exit__(type(exception), exception, None) scope_manager.__exit__(type(exception), exception, None) + after_skip_message = after_process_message + def _make_message_event_processor( message: "Message[R]", integration: "DramatiqIntegration" diff --git a/sentry_sdk/integrations/google_genai/streaming.py b/sentry_sdk/integrations/google_genai/streaming.py index 5bd8890d02..8649ce2ac0 100644 --- a/sentry_sdk/integrations/google_genai/streaming.py +++ b/sentry_sdk/integrations/google_genai/streaming.py @@ -1,10 +1,4 @@ -from typing import ( - TYPE_CHECKING, - Any, - List, - TypedDict, - Optional, -) +from typing import TYPE_CHECKING, Any, List, TypedDict, Optional, Union from sentry_sdk.ai.utils import set_data_normalized from sentry_sdk.consts import SPANDATA @@ -31,7 +25,21 @@ class AccumulatedResponse(TypedDict): text: str finish_reasons: "List[str]" tool_calls: "List[dict[str, Any]]" - usage_metadata: "UsageData" + usage_metadata: "Optional[UsageData]" + + +def element_wise_usage_max(self: "UsageData", other: "UsageData") -> "UsageData": + return UsageData( + input_tokens=max(self["input_tokens"], other["input_tokens"]), + output_tokens=max(self["output_tokens"], other["output_tokens"]), + input_tokens_cached=max( + self["input_tokens_cached"], other["input_tokens_cached"] + ), + output_tokens_reasoning=max( + self["output_tokens_reasoning"], other["output_tokens_reasoning"] + ), + total_tokens=max(self["total_tokens"], other["total_tokens"]), + ) def accumulate_streaming_response( @@ -41,11 +49,7 @@ def accumulate_streaming_response( accumulated_text = [] finish_reasons = [] tool_calls = [] - total_input_tokens = 0 - total_output_tokens = 0 - total_tokens = 0 - total_cached_tokens = 0 - total_reasoning_tokens = 0 + usage_data = None response_id = None model = None @@ -68,25 +72,21 @@ def accumulate_streaming_response( if extracted_tool_calls: tool_calls.extend(extracted_tool_calls) - # Accumulate token usage - extracted_usage_data = extract_usage_data(chunk) - total_input_tokens += extracted_usage_data["input_tokens"] - total_output_tokens += extracted_usage_data["output_tokens"] - total_cached_tokens += extracted_usage_data["input_tokens_cached"] - total_reasoning_tokens += extracted_usage_data["output_tokens_reasoning"] - total_tokens += extracted_usage_data["total_tokens"] + # Use last possible chunk, in case of interruption, and + # gracefully handle missing intermediate tokens by taking maximum + # with previous token reporting. + chunk_usage_data = extract_usage_data(chunk) + usage_data = ( + chunk_usage_data + if usage_data is None + else element_wise_usage_max(usage_data, chunk_usage_data) + ) accumulated_response = AccumulatedResponse( text="".join(accumulated_text), finish_reasons=finish_reasons, tool_calls=tool_calls, - usage_metadata=UsageData( - input_tokens=total_input_tokens, - output_tokens=total_output_tokens, - input_tokens_cached=total_cached_tokens, - output_tokens_reasoning=total_reasoning_tokens, - total_tokens=total_tokens, - ), + usage_metadata=usage_data, id=response_id, model=model, ) @@ -126,6 +126,9 @@ def set_span_data_for_streaming_response( if accumulated_response.get("model"): span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, accumulated_response["model"]) + if accumulated_response["usage_metadata"] is None: + return + if accumulated_response["usage_metadata"]["input_tokens"]: span.set_data( SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, diff --git a/sentry_sdk/integrations/mcp.py b/sentry_sdk/integrations/mcp.py index 47fda272b7..58f9cd94e9 100644 --- a/sentry_sdk/integrations/mcp.py +++ b/sentry_sdk/integrations/mcp.py @@ -17,10 +17,12 @@ from sentry_sdk.integrations import Integration, DidNotEnable from sentry_sdk.utils import safe_serialize from sentry_sdk.scope import should_send_default_pii +from sentry_sdk.integrations._wsgi_common import nullcontext try: from mcp.server.lowlevel import Server # type: ignore[import-not-found] from mcp.server.lowlevel.server import request_ctx # type: ignore[import-not-found] + from mcp.server.streamable_http import StreamableHTTPServerTransport # type: ignore[import-not-found] except ImportError: raise DidNotEnable("MCP SDK not installed") @@ -31,7 +33,9 @@ if TYPE_CHECKING: - from typing import Any, Callable, Optional + from typing import Any, Callable, Optional, Tuple, ContextManager + + from starlette.types import Receive, Scope, Send # type: ignore[import-not-found] class MCPIntegration(Integration): @@ -54,11 +58,34 @@ def setup_once() -> None: Patches MCP server classes to instrument handler execution. """ _patch_lowlevel_server() + _patch_handle_request() if FastMCP is not None: _patch_fastmcp() +def _get_active_http_scopes() -> ( + "Optional[Tuple[Optional[sentry_sdk.Scope], Optional[sentry_sdk.Scope]]]" +): + try: + ctx = request_ctx.get() + except LookupError: + return None + + if ( + ctx is None + or not hasattr(ctx, "request") + or ctx.request is None + or "state" not in ctx.request.scope + ): + return None + + return ( + ctx.request.scope["state"].get("sentry_sdk.isolation_scope"), + ctx.request.scope["state"].get("sentry_sdk.current_scope"), + ) + + def _get_request_context_data() -> "tuple[Optional[str], Optional[str], str]": """ Extract request ID, session ID, and MCP transport type from the request context. @@ -352,19 +379,20 @@ def _prepare_handler_data( ) -async def _async_handler_wrapper( +async def _handler_wrapper( handler_type: str, func: "Callable[..., Any]", original_args: "tuple[Any, ...]", original_kwargs: "Optional[dict[str, Any]]" = None, self: "Optional[Any]" = None, + force_await: bool = True, ) -> "Any": """ - Async wrapper for MCP handlers. + Wrapper for MCP handlers. Args: handler_type: "tool", "prompt", or "resource" - func: The async handler function to wrap + func: The handler function to wrap original_args: Original arguments passed to the handler original_kwargs: Original keyword arguments passed to the handler self: Optional instance for bound methods @@ -381,157 +409,85 @@ async def _async_handler_wrapper( result_data_key, ) = _prepare_handler_data(handler_type, original_args, original_kwargs) - # Start span and execute - with get_start_span_function()( - op=OP.MCP_SERVER, - name=span_name, - origin=MCPIntegration.origin, - ) as span: - # Get request ID, session ID, and transport from context - request_id, session_id, mcp_transport = _get_request_context_data() - - # Set input span data - _set_span_input_data( - span, - handler_name, - span_data_key, - mcp_method_name, - arguments, - request_id, - session_id, - mcp_transport, - ) - - # For resources, extract and set protocol - if handler_type == "resource": - if original_args: - uri = original_args[0] - else: - uri = original_kwargs.get("uri") - - protocol = None - if hasattr(uri, "scheme"): - protocol = uri.scheme - elif handler_name and "://" in handler_name: - protocol = handler_name.split("://")[0] - if protocol: - span.set_data(SPANDATA.MCP_RESOURCE_PROTOCOL, protocol) + scopes = _get_active_http_scopes() - try: - # Execute the async handler - if self is not None: - original_args = (self, *original_args) - result = await func(*original_args, **original_kwargs) - except Exception as e: - # Set error flag for tools - if handler_type == "tool": - span.set_data(SPANDATA.MCP_TOOL_RESULT_IS_ERROR, True) - sentry_sdk.capture_exception(e) - raise - - _set_span_output_data(span, result, result_data_key, handler_type) - return result + isolation_scope_context: "ContextManager[Any]" + current_scope_context: "ContextManager[Any]" + if scopes is None: + isolation_scope_context = nullcontext() + current_scope_context = nullcontext() + else: + isolation_scope, current_scope = scopes -def _sync_handler_wrapper( - handler_type: str, func: "Callable[..., Any]", original_args: "tuple[Any, ...]" -) -> "Any": - """ - Sync wrapper for MCP handlers. - - Args: - handler_type: "tool", "prompt", or "resource" - func: The sync handler function to wrap - original_args: Original arguments passed to the handler - """ - ( - handler_name, - arguments, - span_data_key, - span_name, - mcp_method_name, - result_data_key, - ) = _prepare_handler_data(handler_type, original_args) - - # Start span and execute - with get_start_span_function()( - op=OP.MCP_SERVER, - name=span_name, - origin=MCPIntegration.origin, - ) as span: - # Get request ID, session ID, and transport from context - request_id, session_id, mcp_transport = _get_request_context_data() - - # Set input span data - _set_span_input_data( - span, - handler_name, - span_data_key, - mcp_method_name, - arguments, - request_id, - session_id, - mcp_transport, + isolation_scope_context = ( + nullcontext() + if isolation_scope is None + else sentry_sdk.scope.use_isolation_scope(isolation_scope) + ) + current_scope_context = ( + nullcontext() + if current_scope is None + else sentry_sdk.scope.use_scope(current_scope) ) - # For resources, extract and set protocol - if handler_type == "resource": - uri = original_args[0] - protocol = None - if hasattr(uri, "scheme"): - protocol = uri.scheme - elif handler_name and "://" in handler_name: - protocol = handler_name.split("://")[0] - if protocol: - span.set_data(SPANDATA.MCP_RESOURCE_PROTOCOL, protocol) - - try: - # Execute the sync handler - result = func(*original_args) - except Exception as e: - # Set error flag for tools - if handler_type == "tool": - span.set_data(SPANDATA.MCP_TOOL_RESULT_IS_ERROR, True) - sentry_sdk.capture_exception(e) - raise - - _set_span_output_data(span, result, result_data_key, handler_type) - return result - - -def _create_instrumented_handler( - handler_type: str, func: "Callable[..., Any]" -) -> "Callable[..., Any]": - """ - Create an instrumented version of a handler function (async or sync). - - This function wraps the user's handler with a runtime wrapper that will create - Sentry spans and capture metrics when the handler is actually called. - - The wrapper preserves the async/sync nature of the original function, which is - critical for Python's async/await to work correctly. - - Args: - handler_type: "tool", "prompt", or "resource" - determines span configuration - func: The handler function to instrument (async or sync) - - Returns: - A wrapped version of func that creates Sentry spans on execution - """ - if inspect.iscoroutinefunction(func): - - @wraps(func) - async def async_wrapper(*args: "Any") -> "Any": - return await _async_handler_wrapper(handler_type, func, args) - - return async_wrapper - else: + # Get request ID, session ID, and transport from context + request_id, session_id, mcp_transport = _get_request_context_data() - @wraps(func) - def sync_wrapper(*args: "Any") -> "Any": - return _sync_handler_wrapper(handler_type, func, args) + # Start span and execute + with isolation_scope_context: + with current_scope_context: + with get_start_span_function()( + op=OP.MCP_SERVER, + name=span_name, + origin=MCPIntegration.origin, + ) as span: + # Set input span data + _set_span_input_data( + span, + handler_name, + span_data_key, + mcp_method_name, + arguments, + request_id, + session_id, + mcp_transport, + ) + + # For resources, extract and set protocol + if handler_type == "resource": + if original_args: + uri = original_args[0] + else: + uri = original_kwargs.get("uri") + + protocol = None + if hasattr(uri, "scheme"): + protocol = uri.scheme + elif handler_name and "://" in handler_name: + protocol = handler_name.split("://")[0] + if protocol: + span.set_data(SPANDATA.MCP_RESOURCE_PROTOCOL, protocol) + + try: + # Execute the async handler + if self is not None: + original_args = (self, *original_args) + + result = func(*original_args, **original_kwargs) + if force_await or inspect.isawaitable(result): + result = await result + + except Exception as e: + # Set error flag for tools + if handler_type == "tool": + span.set_data(SPANDATA.MCP_TOOL_RESULT_IS_ERROR, True) + sentry_sdk.capture_exception(e) + raise + + _set_span_output_data(span, result, result_data_key, handler_type) - return sync_wrapper + return result def _create_instrumented_decorator( @@ -547,8 +503,7 @@ def _create_instrumented_decorator( Sentry instrumentation into the handler registration flow. The returned decorator will: 1. Receive the user's handler function - 2. Wrap it with instrumentation via _create_instrumented_handler - 3. Pass the instrumented version to the original MCP decorator + 2. Pass the instrumented version to the original MCP decorator This ensures that when the handler is called at runtime, it's already wrapped with Sentry spans and metrics collection. @@ -564,12 +519,12 @@ def _create_instrumented_decorator( """ def instrumented_decorator(func: "Callable[..., Any]") -> "Callable[..., Any]": - # First wrap the handler with instrumentation - instrumented_func = _create_instrumented_handler(handler_type, func) + @wraps(func) + async def wrapper(*args: "Any") -> "Any": + return await _handler_wrapper(handler_type, func, args, force_await=False) + # Then register it with the original MCP decorator - return original_decorator(*decorator_args, **decorator_kwargs)( - instrumented_func - ) + return original_decorator(*decorator_args, **decorator_kwargs)(wrapper) return instrumented_decorator @@ -618,6 +573,25 @@ def patched_read_resource( Server.read_resource = patched_read_resource +def _patch_handle_request() -> None: + original_handle_request = StreamableHTTPServerTransport.handle_request + + @wraps(original_handle_request) + async def patched_handle_request( + self: "StreamableHTTPServerTransport", + scope: "Scope", + receive: "Receive", + send: "Send", + ) -> None: + scope.setdefault("state", {})["sentry_sdk.isolation_scope"] = ( + sentry_sdk.get_isolation_scope() + ) + scope["state"]["sentry_sdk.current_scope"] = sentry_sdk.get_current_scope() + await original_handle_request(self, scope, receive, send) + + StreamableHTTPServerTransport.handle_request = patched_handle_request + + def _patch_fastmcp() -> None: """ Patches the standalone fastmcp package's FastMCP class. @@ -634,7 +608,7 @@ def _patch_fastmcp() -> None: async def patched_get_prompt_mcp( self: "Any", *args: "Any", **kwargs: "Any" ) -> "Any": - return await _async_handler_wrapper( + return await _handler_wrapper( "prompt", original_get_prompt_mcp, args, @@ -651,7 +625,7 @@ async def patched_get_prompt_mcp( async def patched_read_resource_mcp( self: "Any", *args: "Any", **kwargs: "Any" ) -> "Any": - return await _async_handler_wrapper( + return await _handler_wrapper( "resource", original_read_resource_mcp, args, diff --git a/sentry_sdk/integrations/openai.py b/sentry_sdk/integrations/openai.py index 081744bfd5..863f146a51 100644 --- a/sentry_sdk/integrations/openai.py +++ b/sentry_sdk/integrations/openai.py @@ -17,6 +17,7 @@ _is_system_instruction as _is_system_instruction_completions, _get_system_instructions as _get_system_instructions_completions, _transform_system_instructions, + _get_text_items, ) from sentry_sdk.ai._openai_responses_api import ( _is_system_instruction as _is_system_instruction_responses, @@ -181,10 +182,17 @@ def _calculate_token_usage( # Manually count tokens if input_tokens == 0: for message in messages or []: - if isinstance(message, dict) and "content" in message: - input_tokens += count_tokens(message["content"]) - elif isinstance(message, str): + if isinstance(message, str): input_tokens += count_tokens(message) + continue + elif isinstance(message, dict): + message_content = message.get("content") + if message_content is None: + continue + # Deliberate use of Completions function for both Completions and Responses input format. + text_items = _get_text_items(message_content) + input_tokens += sum(count_tokens(text) for text in text_items) + continue if output_tokens == 0: if streaming_message_responses is not None: diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index deb136de01..4d778676ac 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -1,11 +1,17 @@ from sentry_sdk.integrations import DidNotEnable, Integration +from sentry_sdk.utils import parse_version + +from functools import wraps from .patches import ( - _create_get_model_wrapper, - _create_get_all_tools_wrapper, + _get_model, + _get_all_tools, + _run_single_turn, + _run_single_turn_streamed, + _execute_handoffs, _create_run_wrapper, _create_run_streamed_wrapper, - _patch_agent_run, + _execute_final_output, _patch_error_tracing, ) @@ -17,11 +23,30 @@ # after it, even if we don't use it. import agents from agents.run import DEFAULT_AGENT_RUNNER + from agents.run import AgentRunner + from agents.version import __version__ as OPENAI_AGENTS_VERSION except ImportError: raise DidNotEnable("OpenAI Agents not installed") +try: + # AgentRunner methods moved in v0.8 + # https://github.com/openai/openai-agents-python/commit/3ce7c24d349b77bb750062b7e0e856d9ff48a5d5#diff-7470b3a5c5cbe2fcbb2703dc24f326f45a5819d853be2b1f395d122d278cd911 + from agents.run_internal import run_loop, turn_preparation, turn_resolution +except ImportError: + run_loop = None + turn_preparation = None + turn_resolution = None + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from typing import Any + + from agents.run_internal.run_steps import SingleStepResult + + def _patch_runner() -> None: # Create the root span for one full agent run (including eventual handoffs) # Note agents.run.DEFAULT_AGENT_RUNNER.run_sync is a wrapper around @@ -35,28 +60,184 @@ def _patch_runner() -> None: agents.run.DEFAULT_AGENT_RUNNER.run_streamed ) - # Creating the actual spans for each agent run (works for both streaming and non-streaming). - _patch_agent_run() - - -def _patch_model() -> None: - agents.run.AgentRunner._get_model = classmethod( - _create_get_model_wrapper(agents.run.AgentRunner._get_model), - ) +class OpenAIAgentsIntegration(Integration): + """ + NOTE: With version 0.8.0, the class methods below have been refactored to functions. + - `AgentRunner._get_model()` -> `agents.run_internal.turn_preparation.get_model()` + - `AgentRunner._get_all_tools()` -> `agents.run_internal.turn_preparation.get_all_tools()` + - `AgentRunner._run_single_turn()` -> `agents.run_internal.run_loop.run_single_turn()` + - `RunImpl.execute_handoffs()` -> `agents.run_internal.turn_resolution.execute_handoffs()` + - `RunImpl.execute_final_output()` -> `agents.run_internal.turn_resolution.execute_final_output()` -def _patch_tools() -> None: - agents.run.AgentRunner._get_all_tools = classmethod( - _create_get_all_tools_wrapper(agents.run.AgentRunner._get_all_tools), - ) + Typical interaction with the library: + 1. The user creates an Agent instance with configuration, including system instructions sent to every Responses API call. + 2. The user passes the agent instance to a Runner with `run()` and `run_streamed()` methods. The latter can be used to incrementally receive progress. + - `Runner.run()` and `Runner.run_streamed()` are thin wrappers for `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()`. + - `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()` are patched in `_patch_runner()` with `_create_run_wrapper()` and `_create_run_streamed_wrapper()`, respectively. + 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. + - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `patches._get_model()`. + - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. + - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patches._run_single_turn()` and `patches._run_single_turn_streamed()`. + 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patches._execute_final_output()`. + Local tools are run based on the return value from the Responses API as a post-API call step in the above loop. + Hosted MCP Tools are run as part of the Responses API call, and involve OpenAI reaching out to an external MCP server. + An agent can handoff to another agent, also directed by the return value of the Responses API and run post-API call in the loop. + Handoffs are a way to switch agent-wide configuration. + - Handoffs are executed by calling `RunImpl.execute_handoffs()`. The method is patched with `patches._execute_handoffs()` + """ -class OpenAIAgentsIntegration(Integration): identifier = "openai_agents" @staticmethod def setup_once() -> None: _patch_error_tracing() - _patch_tools() - _patch_model() _patch_runner() + + library_version = parse_version(OPENAI_AGENTS_VERSION) + if library_version is not None and library_version >= ( + 0, + 8, + ): + + @wraps(run_loop.get_all_tools) + async def new_wrapped_get_all_tools( + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", + ) -> "list[agents.Tool]": + return await _get_all_tools( + run_loop.get_all_tools, agent, context_wrapper + ) + + agents.run.get_all_tools = new_wrapped_get_all_tools + + @wraps(turn_preparation.get_model) + def new_wrapped_get_model( + agent: "agents.Agent", run_config: "agents.RunConfig" + ) -> "agents.Model": + return _get_model(turn_preparation.get_model, agent, run_config) + + agents.run_internal.run_loop.get_model = new_wrapped_get_model + + @wraps(run_loop.run_single_turn) + async def new_wrapped_run_single_turn( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn(run_loop.run_single_turn, *args, **kwargs) + + agents.run.run_single_turn = new_wrapped_run_single_turn + + @wraps(run_loop.run_single_turn_streamed) + async def new_wrapped_run_single_turn_streamed( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn_streamed( + run_loop.run_single_turn_streamed, *args, **kwargs + ) + + agents.run.run_single_turn_streamed = new_wrapped_run_single_turn_streamed + + original_execute_handoffs = turn_resolution.execute_handoffs + + @wraps(original_execute_handoffs) + async def new_wrapped_execute_handoffs( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_handoffs( + original_execute_handoffs, *args, **kwargs + ) + + agents.run_internal.turn_resolution.execute_handoffs = ( + new_wrapped_execute_handoffs + ) + + original_execute_final_output = turn_resolution.execute_final_output + + @wraps(turn_resolution.execute_final_output) + async def new_wrapped_final_output( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_final_output( + original_execute_final_output, *args, **kwargs + ) + + agents.run_internal.turn_resolution.execute_final_output = ( + new_wrapped_final_output + ) + + return + + original_get_all_tools = AgentRunner._get_all_tools + + @wraps(AgentRunner._get_all_tools.__func__) + async def old_wrapped_get_all_tools( + cls: "agents.Runner", + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", + ) -> "list[agents.Tool]": + return await _get_all_tools(original_get_all_tools, agent, context_wrapper) + + agents.run.AgentRunner._get_all_tools = classmethod(old_wrapped_get_all_tools) + + original_get_model = AgentRunner._get_model + + @wraps(AgentRunner._get_model.__func__) + def old_wrapped_get_model( + cls: "agents.Runner", agent: "agents.Agent", run_config: "agents.RunConfig" + ) -> "agents.Model": + return _get_model(original_get_model, agent, run_config) + + agents.run.AgentRunner._get_model = classmethod(old_wrapped_get_model) + + original_run_single_turn = AgentRunner._run_single_turn + + @wraps(AgentRunner._run_single_turn.__func__) + async def old_wrapped_run_single_turn( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn(original_run_single_turn, *args, **kwargs) + + agents.run.AgentRunner._run_single_turn = classmethod( + old_wrapped_run_single_turn + ) + + original_run_single_turn_streamed = AgentRunner._run_single_turn_streamed + + @wraps(AgentRunner._run_single_turn_streamed.__func__) + async def old_wrapped_run_single_turn_streamed( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn_streamed( + original_run_single_turn_streamed, *args, **kwargs + ) + + agents.run.AgentRunner._run_single_turn_streamed = classmethod( + old_wrapped_run_single_turn_streamed + ) + + original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs + + @wraps(agents._run_impl.RunImpl.execute_handoffs.__func__) + async def old_wrapped_execute_handoffs( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_handoffs(original_execute_handoffs, *args, **kwargs) + + agents._run_impl.RunImpl.execute_handoffs = classmethod( + old_wrapped_execute_handoffs + ) + + original_execute_final_output = agents._run_impl.RunImpl.execute_final_output + + @wraps(agents._run_impl.RunImpl.execute_final_output.__func__) + async def old_wrapped_final_output( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_final_output( + original_execute_final_output, *args, **kwargs + ) + + agents._run_impl.RunImpl.execute_final_output = classmethod( + old_wrapped_final_output + ) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index b53ca79e19..e3be2776b3 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,5 +1,10 @@ -from .models import _create_get_model_wrapper # noqa: F401 -from .tools import _create_get_all_tools_wrapper # noqa: F401 +from .models import _get_model # noqa: F401 +from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 -from .agent_run import _patch_agent_run # noqa: F401 +from .agent_run import ( + _run_single_turn, + _run_single_turn_streamed, + _execute_handoffs, + _execute_final_output, +) # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index eeb821d42a..a828532ab3 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -14,233 +14,218 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any, Optional + from typing import Any, Optional, Callable, Awaitable from sentry_sdk.tracing import Span + from agents.run_internal.run_steps import SingleStepResult + try: import agents except ImportError: raise DidNotEnable("OpenAI Agents not installed") -def _patch_agent_run() -> None: +def _has_active_agent_span(context_wrapper: "agents.RunContextWrapper") -> bool: + """Check if there's an active agent span for this context""" + return getattr(context_wrapper, "_sentry_current_agent", None) is not None + + +def _get_current_agent( + context_wrapper: "agents.RunContextWrapper", +) -> "Optional[agents.Agent]": + """Get the current agent from context wrapper""" + return getattr(context_wrapper, "_sentry_current_agent", None) + + +def _close_streaming_workflow_span(agent: "Optional[agents.Agent]") -> None: + """Close the workflow span for streaming executions if it exists.""" + if agent and hasattr(agent, "_sentry_workflow_span"): + workflow_span = agent._sentry_workflow_span + workflow_span.__exit__(*sys.exc_info()) + delattr(agent, "_sentry_workflow_span") + + +def _maybe_start_agent_span( + context_wrapper: "agents.RunContextWrapper", + agent: "agents.Agent", + should_run_agent_start_hooks: bool, + span_kwargs: "dict[str, Any]", + is_streaming: bool = False, +) -> "Optional[Span]": """ - Patches AgentRunner methods to create agent invocation spans. - This directly patches the execution flow to track when agents start and stop. + Start an agent invocation span if conditions are met. + Handles ending any existing span for a different agent. + + Returns the new span if started, or the existing span if conditions aren't met. """ + if not (should_run_agent_start_hooks and agent and context_wrapper): + return getattr(context_wrapper, "_sentry_agent_span", None) - # Store original methods - original_run_single_turn = agents.run.AgentRunner._run_single_turn - original_run_single_turn_streamed = agents.run.AgentRunner._run_single_turn_streamed - original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs - original_execute_final_output = agents._run_impl.RunImpl.execute_final_output - - def _has_active_agent_span(context_wrapper: "agents.RunContextWrapper") -> bool: - """Check if there's an active agent span for this context""" - return getattr(context_wrapper, "_sentry_current_agent", None) is not None - - def _get_current_agent( - context_wrapper: "agents.RunContextWrapper", - ) -> "Optional[agents.Agent]": - """Get the current agent from context wrapper""" - return getattr(context_wrapper, "_sentry_current_agent", None) - - def _close_streaming_workflow_span(agent: "Optional[agents.Agent]") -> None: - """Close the workflow span for streaming executions if it exists.""" - if agent and hasattr(agent, "_sentry_workflow_span"): - workflow_span = agent._sentry_workflow_span - workflow_span.__exit__(*sys.exc_info()) - delattr(agent, "_sentry_workflow_span") - - def _maybe_start_agent_span( - context_wrapper: "agents.RunContextWrapper", - agent: "agents.Agent", - should_run_agent_start_hooks: bool, - span_kwargs: "dict[str, Any]", - is_streaming: bool = False, - ) -> "Optional[Span]": - """ - Start an agent invocation span if conditions are met. - Handles ending any existing span for a different agent. - - Returns the new span if started, or the existing span if conditions aren't met. - """ - if not (should_run_agent_start_hooks and agent and context_wrapper): - return getattr(context_wrapper, "_sentry_agent_span", None) - - # End any existing span for a different agent - if _has_active_agent_span(context_wrapper): - current_agent = _get_current_agent(context_wrapper) - if current_agent and current_agent != agent: - end_invoke_agent_span(context_wrapper, current_agent) - - # Store the agent on the context wrapper so we can access it later - context_wrapper._sentry_current_agent = agent - span = invoke_agent_span(context_wrapper, agent, span_kwargs) - context_wrapper._sentry_agent_span = span - agent._sentry_agent_span = span - - if is_streaming: - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - - return span - - @wraps( - original_run_single_turn.__func__ - if hasattr(original_run_single_turn, "__func__") - else original_run_single_turn - ) - async def patched_run_single_turn( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """Patched _run_single_turn that creates agent invocation spans""" - agent = kwargs.get("agent") - context_wrapper = kwargs.get("context_wrapper") - should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks", False) - - span = _maybe_start_agent_span( - context_wrapper, agent, should_run_agent_start_hooks, kwargs - ) - - try: - result = await original_run_single_turn(*args, **kwargs) - except Exception as exc: - if span is not None and span.timestamp is None: - _record_exception_on_span(span, exc) - end_invoke_agent_span(context_wrapper, agent) - reraise(*sys.exc_info()) + # End any existing span for a different agent + if _has_active_agent_span(context_wrapper): + current_agent = _get_current_agent(context_wrapper) + if current_agent and current_agent != agent: + end_invoke_agent_span(context_wrapper, current_agent) - return result + # Store the agent on the context wrapper so we can access it later + context_wrapper._sentry_current_agent = agent + span = invoke_agent_span(context_wrapper, agent, span_kwargs) + context_wrapper._sentry_agent_span = span + agent._sentry_agent_span = span - @wraps( - original_execute_handoffs.__func__ - if hasattr(original_execute_handoffs, "__func__") - else original_execute_handoffs - ) - async def patched_execute_handoffs( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """Patched execute_handoffs that creates handoff spans and ends agent span for handoffs""" - - context_wrapper = kwargs.get("context_wrapper") - run_handoffs = kwargs.get("run_handoffs") - agent = kwargs.get("agent") - - # Create Sentry handoff span for the first handoff (agents library only processes the first one) - if run_handoffs: - first_handoff = run_handoffs[0] - handoff_agent_name = first_handoff.handoff.agent_name - handoff_span(context_wrapper, agent, handoff_agent_name) - - # Call original method with all parameters - try: - result = await original_execute_handoffs(*args, **kwargs) - except Exception: - exc_info = sys.exc_info() - with capture_internal_exceptions(): - _close_streaming_workflow_span(agent) - reraise(*exc_info) - finally: - # End span for current agent after handoff processing is complete - if agent and context_wrapper and _has_active_agent_span(context_wrapper): - end_invoke_agent_span(context_wrapper, agent) + if is_streaming: + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) + + return span - return result - @wraps( - original_execute_final_output.__func__ - if hasattr(original_execute_final_output, "__func__") - else original_execute_final_output +async def _run_single_turn( + original_run_single_turn: "Callable[..., Awaitable[SingleStepResult]]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched _run_single_turn that + - creates agent invocation spans if there is no already active agent invocation span. + - ends the agent invocation span if and only if an exception is raised in `_run_single_turn()`. + """ + agent = kwargs.get("agent") + context_wrapper = kwargs.get("context_wrapper") + should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks", False) + + span = _maybe_start_agent_span( + context_wrapper, agent, should_run_agent_start_hooks, kwargs ) - async def patched_execute_final_output( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """Patched execute_final_output that ends agent span for final outputs""" - - agent = kwargs.get("agent") - context_wrapper = kwargs.get("context_wrapper") - final_output = kwargs.get("final_output") - - try: - result = await original_execute_final_output(*args, **kwargs) - finally: - with capture_internal_exceptions(): - if ( - agent - and context_wrapper - and _has_active_agent_span(context_wrapper) - ): - end_invoke_agent_span(context_wrapper, agent, final_output) - # For streaming, close the workflow span (non-streaming uses context manager in _create_run_wrapper) - _close_streaming_workflow_span(agent) - - return result - - @wraps( - original_run_single_turn_streamed.__func__ - if hasattr(original_run_single_turn_streamed, "__func__") - else original_run_single_turn_streamed + + try: + result = await original_run_single_turn(*args, **kwargs) + except Exception as exc: + if span is not None and span.timestamp is None: + _record_exception_on_span(span, exc) + end_invoke_agent_span(context_wrapper, agent) + reraise(*sys.exc_info()) + + return result + + +async def _run_single_turn_streamed( + original_run_single_turn_streamed: "Callable[..., Awaitable[SingleStepResult]]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched _run_single_turn_streamed that + - creates agent invocation spans for streaming if there is no already active agent invocation span. + - ends the agent invocation span if and only if `_run_single_turn_streamed()` raises an exception. + + Note: Unlike _run_single_turn which uses keyword-only arguments (*,), + _run_single_turn_streamed uses positional arguments. The call signature is: + _run_single_turn_streamed( + streamed_result, # args[0] + agent, # args[1] + hooks, # args[2] + context_wrapper, # args[3] + run_config, # args[4] + should_run_agent_start_hooks, # args[5] + tool_use_tracker, # args[6] + all_tools, # args[7] + server_conversation_tracker, # args[8] (optional) ) - async def patched_run_single_turn_streamed( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """Patched _run_single_turn_streamed that creates agent invocation spans for streaming. - - Note: Unlike _run_single_turn which uses keyword-only arguments (*,), - _run_single_turn_streamed uses positional arguments. The call signature is: - _run_single_turn_streamed( - streamed_result, # args[0] - agent, # args[1] - hooks, # args[2] - context_wrapper, # args[3] - run_config, # args[4] - should_run_agent_start_hooks, # args[5] - tool_use_tracker, # args[6] - all_tools, # args[7] - server_conversation_tracker, # args[8] (optional) - ) - """ - streamed_result = args[0] if len(args) > 0 else kwargs.get("streamed_result") - agent = args[1] if len(args) > 1 else kwargs.get("agent") - context_wrapper = args[3] if len(args) > 3 else kwargs.get("context_wrapper") - should_run_agent_start_hooks = bool( - args[5] - if len(args) > 5 - else kwargs.get("should_run_agent_start_hooks", False) - ) - - span_kwargs: "dict[str, Any]" = {} - if streamed_result and hasattr(streamed_result, "input"): - span_kwargs["original_input"] = streamed_result.input - - span = _maybe_start_agent_span( - context_wrapper, - agent, - should_run_agent_start_hooks, - span_kwargs, - is_streaming=True, - ) - - try: - result = await original_run_single_turn_streamed(*args, **kwargs) - except Exception as exc: - exc_info = sys.exc_info() - with capture_internal_exceptions(): - if span is not None and span.timestamp is None: - _record_exception_on_span(span, exc) - end_invoke_agent_span(context_wrapper, agent) - _close_streaming_workflow_span(agent) - reraise(*exc_info) - - return result - - # Apply patches - agents.run.AgentRunner._run_single_turn = classmethod(patched_run_single_turn) - agents.run.AgentRunner._run_single_turn_streamed = classmethod( - patched_run_single_turn_streamed + """ + streamed_result = args[0] if len(args) > 0 else kwargs.get("streamed_result") + agent = args[1] if len(args) > 1 else kwargs.get("agent") + context_wrapper = args[3] if len(args) > 3 else kwargs.get("context_wrapper") + should_run_agent_start_hooks = bool( + args[5] if len(args) > 5 else kwargs.get("should_run_agent_start_hooks", False) ) - agents._run_impl.RunImpl.execute_handoffs = classmethod(patched_execute_handoffs) - agents._run_impl.RunImpl.execute_final_output = classmethod( - patched_execute_final_output + + span_kwargs: "dict[str, Any]" = {} + if streamed_result and hasattr(streamed_result, "input"): + span_kwargs["original_input"] = streamed_result.input + + span = _maybe_start_agent_span( + context_wrapper, + agent, + should_run_agent_start_hooks, + span_kwargs, + is_streaming=True, ) + + try: + result = await original_run_single_turn_streamed(*args, **kwargs) + except Exception as exc: + exc_info = sys.exc_info() + with capture_internal_exceptions(): + if span is not None and span.timestamp is None: + _record_exception_on_span(span, exc) + end_invoke_agent_span(context_wrapper, agent) + _close_streaming_workflow_span(agent) + reraise(*exc_info) + + return result + + +async def _execute_handoffs( + original_execute_handoffs: "Callable[..., SingleStepResult]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched execute_handoffs that + - creates and manages handoff spans. + - ends the agent invocation span. + - ends the workflow span if the response is streamed and an exception is raised in `execute_handoffs()`. + """ + + context_wrapper = kwargs.get("context_wrapper") + run_handoffs = kwargs.get("run_handoffs") + agent = kwargs.get("agent") + + # Create Sentry handoff span for the first handoff (agents library only processes the first one) + if run_handoffs: + first_handoff = run_handoffs[0] + handoff_agent_name = first_handoff.handoff.agent_name + handoff_span(context_wrapper, agent, handoff_agent_name) + + # Call original method with all parameters + try: + result = await original_execute_handoffs(*args, **kwargs) + except Exception: + exc_info = sys.exc_info() + with capture_internal_exceptions(): + _close_streaming_workflow_span(agent) + reraise(*exc_info) + finally: + # End span for current agent after handoff processing is complete + if agent and context_wrapper and _has_active_agent_span(context_wrapper): + end_invoke_agent_span(context_wrapper, agent) + + return result + + +async def _execute_final_output( + original_execute_final_output: "Callable[..., SingleStepResult]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched execute_final_output that + - ends the agent invocation span. + - ends the workflow span if the response is streamed. + """ + + agent = kwargs.get("agent") + context_wrapper = kwargs.get("context_wrapper") + final_output = kwargs.get("final_output") + + try: + result = await original_execute_final_output(*args, **kwargs) + finally: + with capture_internal_exceptions(): + if agent and context_wrapper and _has_active_agent_span(context_wrapper): + end_invoke_agent_span(context_wrapper, agent, final_output) + # For streaming, close the workflow span (non-streaming uses context manager in _create_run_wrapper) + _close_streaming_workflow_span(agent) + + return result diff --git a/sentry_sdk/integrations/openai_agents/patches/models.py b/sentry_sdk/integrations/openai_agents/patches/models.py index 9b57a55f1f..6b5dceef97 100644 --- a/sentry_sdk/integrations/openai_agents/patches/models.py +++ b/sentry_sdk/integrations/openai_agents/patches/models.py @@ -66,120 +66,128 @@ def _inject_trace_propagation_headers( headers[key] = value -def _create_get_model_wrapper( - original_get_model: "Callable[..., Any]", -) -> "Callable[..., Any]": +def _get_model( + original_get_model: "Callable[..., agents.Model]", + agent: "agents.Agent", + run_config: "agents.RunConfig", +) -> "agents.Model": """ - Wraps the agents.Runner._get_model method to wrap the get_response method of the model to create a AI client span. + Responsible for + - creating and managing AI client spans. + - adding trace propagation headers to tools with type HostedMCPTool. + - setting the response model on agent invocation spans. """ + # copy the model to double patching its methods. We use copy on purpose here (instead of deepcopy) + # because we only patch its direct methods, all underlying data can remain unchanged. + model = copy.copy(original_get_model(agent, run_config)) + + # Capture the request model name for spans (agent.model can be None when using defaults) + request_model_name = model.model if hasattr(model, "model") else str(model) + agent._sentry_request_model = request_model_name + + # Wrap _fetch_response if it exists (for OpenAI models) to capture response model + if hasattr(model, "_fetch_response"): + original_fetch_response = model._fetch_response + + @wraps(original_fetch_response) + async def wrapped_fetch_response(*args: "Any", **kwargs: "Any") -> "Any": + response = await original_fetch_response(*args, **kwargs) + if hasattr(response, "model") and response.model: + agent._sentry_response_model = str(response.model) + return response + + model._fetch_response = wrapped_fetch_response + + original_get_response = model.get_response + + @wraps(original_get_response) + async def wrapped_get_response(*args: "Any", **kwargs: "Any") -> "Any": + mcp_tools = kwargs.get("tools") + hosted_tools = [] + if mcp_tools is not None: + hosted_tools = [ + tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) + ] + + with ai_client_span(agent, kwargs) as span: + for hosted_tool in hosted_tools: + _inject_trace_propagation_headers(hosted_tool, span=span) + + result = await original_get_response(*args, **kwargs) + + # Get response model captured from _fetch_response and clean up + response_model = getattr(agent, "_sentry_response_model", None) + if response_model: + delattr(agent, "_sentry_response_model") + + _set_response_model_on_agent_span(agent, response_model) + update_ai_client_span(span, result, response_model, agent) + + return result + + model.get_response = wrapped_get_response + + # Also wrap stream_response for streaming support + if hasattr(model, "stream_response"): + original_stream_response = model.stream_response + + @wraps(original_stream_response) + async def wrapped_stream_response(*args: "Any", **kwargs: "Any") -> "Any": + # Uses explicit try/finally instead of context manager to ensure cleanup + # even if the consumer abandons the stream (GeneratorExit). + span_kwargs = dict(kwargs) + if len(args) > 0: + span_kwargs["system_instructions"] = args[0] + if len(args) > 1: + span_kwargs["input"] = args[1] - @wraps( - original_get_model.__func__ - if hasattr(original_get_model, "__func__") - else original_get_model - ) - def wrapped_get_model( - cls: "agents.Runner", agent: "agents.Agent", run_config: "agents.RunConfig" - ) -> "agents.Model": - # copy the model to double patching its methods. We use copy on purpose here (instead of deepcopy) - # because we only patch its direct methods, all underlying data can remain unchanged. - model = copy.copy(original_get_model(agent, run_config)) - - # Capture the request model name for spans (agent.model can be None when using defaults) - request_model_name = model.model if hasattr(model, "model") else str(model) - agent._sentry_request_model = request_model_name - - # Wrap _fetch_response if it exists (for OpenAI models) to capture response model - if hasattr(model, "_fetch_response"): - original_fetch_response = model._fetch_response - - @wraps(original_fetch_response) - async def wrapped_fetch_response(*args: "Any", **kwargs: "Any") -> "Any": - response = await original_fetch_response(*args, **kwargs) - if hasattr(response, "model") and response.model: - agent._sentry_response_model = str(response.model) - return response - - model._fetch_response = wrapped_fetch_response - - original_get_response = model.get_response - - @wraps(original_get_response) - async def wrapped_get_response(*args: "Any", **kwargs: "Any") -> "Any": - mcp_tools = kwargs.get("tools") hosted_tools = [] - if mcp_tools is not None: - hosted_tools = [ - tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) - ] + if len(args) > 3: + mcp_tools = args[3] - with ai_client_span(agent, kwargs) as span: + if mcp_tools is not None: + hosted_tools = [ + tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) + ] + + with ai_client_span(agent, span_kwargs) as span: for hosted_tool in hosted_tools: _inject_trace_propagation_headers(hosted_tool, span=span) - result = await original_get_response(*args, **kwargs) - - # Get response model captured from _fetch_response and clean up - response_model = getattr(agent, "_sentry_response_model", None) - if response_model: - delattr(agent, "_sentry_response_model") - - _set_response_model_on_agent_span(agent, response_model) - update_ai_client_span(span, result, response_model) - - return result - - model.get_response = wrapped_get_response - - # Also wrap stream_response for streaming support - if hasattr(model, "stream_response"): - original_stream_response = model.stream_response - - @wraps(original_stream_response) - async def wrapped_stream_response(*args: "Any", **kwargs: "Any") -> "Any": - # Uses explicit try/finally instead of context manager to ensure cleanup - # even if the consumer abandons the stream (GeneratorExit). - span_kwargs = dict(kwargs) - if len(args) > 0: - span_kwargs["system_instructions"] = args[0] - if len(args) > 1: - span_kwargs["input"] = args[1] - - with ai_client_span(agent, span_kwargs) as span: - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - - streaming_response = None - ttft_recorded = False - # Capture start time locally to avoid race conditions with concurrent requests - start_time = time.perf_counter() - - async for event in original_stream_response(*args, **kwargs): - # Detect first content token (text delta event) - if not ttft_recorded and hasattr(event, "delta"): - ttft = time.perf_counter() - start_time - span.set_data( - SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN, ttft - ) - ttft_recorded = True - - # Capture the full response from ResponseCompletedEvent - if hasattr(event, "response"): - streaming_response = event.response - yield event - - # Update span with response data (usage, output, model) - if streaming_response: - response_model = ( - str(streaming_response.model) - if hasattr(streaming_response, "model") - and streaming_response.model - else None - ) - _set_response_model_on_agent_span(agent, response_model) - update_ai_client_span(span, streaming_response) - - model.stream_response = wrapped_stream_response + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - return model + streaming_response = None + ttft_recorded = False + # Capture start time locally to avoid race conditions with concurrent requests + start_time = time.perf_counter() - return wrapped_get_model + async for event in original_stream_response(*args, **kwargs): + # Detect first content token (text delta event) + if not ttft_recorded and hasattr(event, "delta"): + ttft = time.perf_counter() - start_time + span.set_data( + SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN, ttft + ) + ttft_recorded = True + + # Capture the full response from ResponseCompletedEvent + if hasattr(event, "response"): + streaming_response = event.response + yield event + + # Update span with response data (usage, output, model) + if streaming_response: + response_model = ( + str(streaming_response.model) + if hasattr(streaming_response, "model") + and streaming_response.model + else None + ) + _set_response_model_on_agent_span(agent, response_model) + update_ai_client_span( + span, streaming_response, response_model, agent + ) + + model.stream_response = wrapped_stream_response + + return model diff --git a/sentry_sdk/integrations/openai_agents/patches/runner.py b/sentry_sdk/integrations/openai_agents/patches/runner.py index fd3bc284e9..78c055890e 100644 --- a/sentry_sdk/integrations/openai_agents/patches/runner.py +++ b/sentry_sdk/integrations/openai_agents/patches/runner.py @@ -2,6 +2,7 @@ from functools import wraps import sentry_sdk +from sentry_sdk.consts import SPANDATA from sentry_sdk.integrations import DidNotEnable from sentry_sdk.utils import capture_internal_exceptions, reraise @@ -21,7 +22,9 @@ def _create_run_wrapper(original_func: "Callable[..., Any]") -> "Callable[..., Any]": """ - Wraps the agents.Runner.run methods to create a root span for the agent workflow runs. + Wraps the agents.Runner.run methods to + - create and manage a root span for the agent workflow runs. + - end the agent invocation span if an `AgentsException` is raised in `run()`. Note agents.Runner.run_sync() is a wrapper around agents.Runner.run(), so it does not need to be wrapped separately. @@ -34,7 +37,16 @@ async def wrapper(*args: "Any", **kwargs: "Any") -> "Any": with sentry_sdk.isolation_scope(): # Clone agent because agent invocation spans are attached per run. agent = args[0].clone() - with agent_workflow_span(agent): + + with agent_workflow_span(agent) as workflow_span: + # Set conversation ID on workflow span early so it's captured even on errors + conversation_id = kwargs.get("conversation_id") + if conversation_id: + agent._sentry_conversation_id = conversation_id + workflow_span.set_data( + SPANDATA.GEN_AI_CONVERSATION_ID, conversation_id + ) + args = (agent, *args[1:]) try: run_result = await original_func(*args, **kwargs) @@ -75,7 +87,9 @@ def _create_run_streamed_wrapper( original_func: "Callable[..., Any]", ) -> "Callable[..., Any]": """ - Wraps the agents.Runner.run_streamed method to create a root span for streaming agent workflow runs. + Wraps the agents.Runner.run_streamed method to + - create a root span for streaming agent workflow runs. + - end the workflow span if and only if the response stream is consumed or cancelled. Unlike run(), run_streamed() returns immediately with a RunResultStreaming object while execution continues in a background task. The workflow span must stay open @@ -91,10 +105,19 @@ def wrapper(*args: "Any", **kwargs: "Any") -> "Any": # Clone agent because agent invocation spans are attached per run. agent = args[0].clone() + # Capture conversation_id from kwargs if provided + conversation_id = kwargs.get("conversation_id") + if conversation_id: + agent._sentry_conversation_id = conversation_id + # Start workflow span immediately (before run_streamed returns) workflow_span = agent_workflow_span(agent) workflow_span.__enter__() + # Set conversation ID on workflow span early so it's captured even on errors + if conversation_id: + workflow_span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conversation_id) + # Store span on agent for cleanup agent._sentry_workflow_span = workflow_span diff --git a/sentry_sdk/integrations/openai_agents/patches/tools.py b/sentry_sdk/integrations/openai_agents/patches/tools.py index d14a3019aa..e13dfcbab2 100644 --- a/sentry_sdk/integrations/openai_agents/patches/tools.py +++ b/sentry_sdk/integrations/openai_agents/patches/tools.py @@ -7,7 +7,7 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any, Callable + from typing import Any, Callable, Awaitable try: import agents @@ -15,68 +15,57 @@ raise DidNotEnable("OpenAI Agents not installed") -def _create_get_all_tools_wrapper( - original_get_all_tools: "Callable[..., Any]", -) -> "Callable[..., Any]": +async def _get_all_tools( + original_get_all_tools: "Callable[..., Awaitable[list[agents.Tool]]]", + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", +) -> "list[agents.Tool]": """ - Wraps the agents.Runner._get_all_tools method of the Runner class to wrap all function tools with Sentry instrumentation. + Responsible for creating and managing `gen_ai.execute_tool` spans. """ - - @wraps( - original_get_all_tools.__func__ - if hasattr(original_get_all_tools, "__func__") - else original_get_all_tools - ) - async def wrapped_get_all_tools( - cls: "agents.Runner", - agent: "agents.Agent", - context_wrapper: "agents.RunContextWrapper", - ) -> "list[agents.Tool]": - # Get the original tools - tools = await original_get_all_tools(agent, context_wrapper) - - wrapped_tools = [] - for tool in tools: - # Wrap only the function tools (for now) - if tool.__class__.__name__ != "FunctionTool": - wrapped_tools.append(tool) - continue - - # Create a new FunctionTool with our wrapped invoke method - original_on_invoke = tool.on_invoke_tool - - def create_wrapped_invoke( - current_tool: "agents.Tool", current_on_invoke: "Callable[..., Any]" - ) -> "Callable[..., Any]": - @wraps(current_on_invoke) - async def sentry_wrapped_on_invoke_tool( - *args: "Any", **kwargs: "Any" - ) -> "Any": - with execute_tool_span(current_tool, *args, **kwargs) as span: - # We can not capture exceptions in tool execution here because - # `_on_invoke_tool` is swallowing the exception here: - # https://github.com/openai/openai-agents-python/blob/main/src/agents/tool.py#L409-L422 - # And because function_tool is a decorator with `default_tool_error_function` set as a default parameter - # I was unable to monkey patch it because those are evaluated at module import time - # and the SDK is too late to patch it. I was also unable to patch `_on_invoke_tool_impl` - # because it is nested inside this import time code. As if they made it hard to patch on purpose... - result = await current_on_invoke(*args, **kwargs) - update_execute_tool_span(span, agent, current_tool, result) - - return result - - return sentry_wrapped_on_invoke_tool - - wrapped_tool = agents.FunctionTool( - name=tool.name, - description=tool.description, - params_json_schema=tool.params_json_schema, - on_invoke_tool=create_wrapped_invoke(tool, original_on_invoke), - strict_json_schema=tool.strict_json_schema, - is_enabled=tool.is_enabled, - ) - wrapped_tools.append(wrapped_tool) - - return wrapped_tools - - return wrapped_get_all_tools + # Get the original tools + tools = await original_get_all_tools(agent, context_wrapper) + + wrapped_tools = [] + for tool in tools: + # Wrap only the function tools (for now) + if tool.__class__.__name__ != "FunctionTool": + wrapped_tools.append(tool) + continue + + # Create a new FunctionTool with our wrapped invoke method + original_on_invoke = tool.on_invoke_tool + + def create_wrapped_invoke( + current_tool: "agents.Tool", current_on_invoke: "Callable[..., Any]" + ) -> "Callable[..., Any]": + @wraps(current_on_invoke) + async def sentry_wrapped_on_invoke_tool( + *args: "Any", **kwargs: "Any" + ) -> "Any": + with execute_tool_span(current_tool, *args, **kwargs) as span: + # We can not capture exceptions in tool execution here because + # `_on_invoke_tool` is swallowing the exception here: + # https://github.com/openai/openai-agents-python/blob/main/src/agents/tool.py#L409-L422 + # And because function_tool is a decorator with `default_tool_error_function` set as a default parameter + # I was unable to monkey patch it because those are evaluated at module import time + # and the SDK is too late to patch it. I was also unable to patch `_on_invoke_tool_impl` + # because it is nested inside this import time code. As if they made it hard to patch on purpose... + result = await current_on_invoke(*args, **kwargs) + update_execute_tool_span(span, agent, current_tool, result) + + return result + + return sentry_wrapped_on_invoke_tool + + wrapped_tool = agents.FunctionTool( + name=tool.name, + description=tool.description, + params_json_schema=tool.params_json_schema, + on_invoke_tool=create_wrapped_invoke(tool, original_on_invoke), + strict_json_schema=tool.strict_json_schema, + is_enabled=tool.is_enabled, + ) + wrapped_tools.append(wrapped_tool) + + return wrapped_tools diff --git a/sentry_sdk/integrations/openai_agents/spans/ai_client.py b/sentry_sdk/integrations/openai_agents/spans/ai_client.py index c099f133f4..57244a6992 100644 --- a/sentry_sdk/integrations/openai_agents/spans/ai_client.py +++ b/sentry_sdk/integrations/openai_agents/spans/ai_client.py @@ -46,6 +46,7 @@ def update_ai_client_span( span: "sentry_sdk.tracing.Span", response: "Any", response_model: "Optional[str]" = None, + agent: "Optional[Agent]" = None, ) -> None: """Update AI client span with response data (works for streaming and non-streaming).""" if hasattr(response, "usage") and response.usage: @@ -59,3 +60,9 @@ def update_ai_client_span( span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model) elif hasattr(response, "model") and response.model: span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, str(response.model)) + + # Set conversation ID from agent if available + if agent: + conv_id = getattr(agent, "_sentry_conversation_id", None) + if conv_id: + span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id) diff --git a/sentry_sdk/integrations/openai_agents/spans/execute_tool.py b/sentry_sdk/integrations/openai_agents/spans/execute_tool.py index aa89da1610..e12dce4e3e 100644 --- a/sentry_sdk/integrations/openai_agents/spans/execute_tool.py +++ b/sentry_sdk/integrations/openai_agents/spans/execute_tool.py @@ -51,3 +51,8 @@ def update_execute_tool_span( if should_send_default_pii(): span.set_data(SPANDATA.GEN_AI_TOOL_OUTPUT, result) + + # Add conversation ID from agent + conv_id = getattr(agent, "_sentry_conversation_id", None) + if conv_id: + span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id) diff --git a/sentry_sdk/integrations/openai_agents/spans/handoff.py b/sentry_sdk/integrations/openai_agents/spans/handoff.py index c514505b17..e4e02e9ec4 100644 --- a/sentry_sdk/integrations/openai_agents/spans/handoff.py +++ b/sentry_sdk/integrations/openai_agents/spans/handoff.py @@ -18,3 +18,8 @@ def handoff_span( origin=SPAN_ORIGIN, ) as span: span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "handoff") + + # Add conversation ID from agent + conv_id = getattr(from_agent, "_sentry_conversation_id", None) + if conv_id: + span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id) diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py index c3a3a04dc9..27f9fdab25 100644 --- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py +++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py @@ -95,6 +95,11 @@ def update_invoke_agent_span( span, SPANDATA.GEN_AI_RESPONSE_TEXT, output, unpack=False ) + # Add conversation ID from agent + conv_id = getattr(agent, "_sentry_conversation_id", None) + if conv_id: + span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id) + span.__exit__(None, None, None) delattr(context, "_sentry_agent_span") diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py index acd82a57ef..3bc51c1af0 100644 --- a/sentry_sdk/scope.py +++ b/sentry_sdk/scope.py @@ -29,9 +29,11 @@ from sentry_sdk.tracing_utils import ( Baggage, has_tracing_enabled, + has_span_streaming_enabled, normalize_incoming_data, PropagationContext, ) +from sentry_sdk.traces import StreamedSpan from sentry_sdk.tracing import ( BAGGAGE_HEADER_NAME, SENTRY_TRACE_HEADER_NAME, @@ -1278,6 +1280,17 @@ def _capture_metric(self, metric: "Optional[Metric]") -> None: client._capture_metric(metric, scope=merged_scope) + def _capture_span(self, span: "Optional[StreamedSpan]") -> None: + if span is None: + return + + client = self.get_client() + if not has_span_streaming_enabled(client.options): + return + + merged_scope = self._merge_scopes() + client._capture_span(span, scope=merged_scope) + def capture_message( self, message: str, @@ -1522,16 +1535,25 @@ def _apply_flags_to_event( ) def _apply_scope_attributes_to_telemetry( - self, telemetry: "Union[Log, Metric]" + self, telemetry: "Union[Log, Metric, StreamedSpan]" ) -> None: + # TODO: turn Logs, Metrics into actual classes + if isinstance(telemetry, dict): + attributes = telemetry["attributes"] + else: + attributes = telemetry._attributes + for attribute, value in self._attributes.items(): - if attribute not in telemetry["attributes"]: - telemetry["attributes"][attribute] = value + if attribute not in attributes: + attributes[attribute] = value def _apply_user_attributes_to_telemetry( - self, telemetry: "Union[Log, Metric]" + self, telemetry: "Union[Log, Metric, StreamedSpan]" ) -> None: - attributes = telemetry["attributes"] + if isinstance(telemetry, dict): + attributes = telemetry["attributes"] + else: + attributes = telemetry._attributes if not should_send_default_pii() or self._user is None: return @@ -1651,16 +1673,19 @@ def apply_to_event( return event @_disable_capture - def apply_to_telemetry(self, telemetry: "Union[Log, Metric]") -> None: + def apply_to_telemetry(self, telemetry: "Union[Log, Metric, StreamedSpan]") -> None: # Attributes-based events and telemetry go through here (logs, metrics, # spansV2) - trace_context = self.get_trace_context() - trace_id = trace_context.get("trace_id") - if telemetry.get("trace_id") is None: - telemetry["trace_id"] = trace_id or "00000000-0000-0000-0000-000000000000" - span_id = trace_context.get("span_id") - if telemetry.get("span_id") is None and span_id: - telemetry["span_id"] = span_id + if not isinstance(telemetry, StreamedSpan): + trace_context = self.get_trace_context() + trace_id = trace_context.get("trace_id") + if telemetry.get("trace_id") is None: + telemetry["trace_id"] = ( + trace_id or "00000000-0000-0000-0000-000000000000" + ) + span_id = trace_context.get("span_id") + if telemetry.get("span_id") is None and span_id: + telemetry["span_id"] = span_id self._apply_scope_attributes_to_telemetry(telemetry) self._apply_user_attributes_to_telemetry(telemetry) diff --git a/sentry_sdk/traces.py b/sentry_sdk/traces.py new file mode 100644 index 0000000000..531a06b1fd --- /dev/null +++ b/sentry_sdk/traces.py @@ -0,0 +1,174 @@ +""" +The API in this file is only meant to be used in span streaming mode. + +You can enable span streaming mode via +sentry_sdk.init(_experiments={"trace_lifecycle": "stream"}). +""" + +import uuid +from enum import Enum +from typing import TYPE_CHECKING + +from sentry_sdk.consts import SPANDATA +from sentry_sdk.utils import format_attribute + +if TYPE_CHECKING: + from typing import Optional, Union + from sentry_sdk._types import Attributes, AttributeValue + + +FLAGS_CAPACITY = 10 + + +class SpanStatus(str, Enum): + OK = "ok" + ERROR = "error" + + def __str__(self) -> str: + return self.value + + +# Segment source, see +# https://getsentry.github.io/sentry-conventions/generated/attributes/sentry.html#sentryspansource +class SegmentSource(str, Enum): + COMPONENT = "component" + CUSTOM = "custom" + ROUTE = "route" + TASK = "task" + URL = "url" + VIEW = "view" + + def __str__(self) -> str: + return self.value + + +# These are typically high cardinality and the server hates them +LOW_QUALITY_SEGMENT_SOURCES = [ + SegmentSource.URL, +] + + +SOURCE_FOR_STYLE = { + "endpoint": SegmentSource.COMPONENT, + "function_name": SegmentSource.COMPONENT, + "handler_name": SegmentSource.COMPONENT, + "method_and_path_pattern": SegmentSource.ROUTE, + "path": SegmentSource.URL, + "route_name": SegmentSource.COMPONENT, + "route_pattern": SegmentSource.ROUTE, + "uri_template": SegmentSource.ROUTE, + "url": SegmentSource.ROUTE, +} + + +class StreamedSpan: + """ + A span holds timing information of a block of code. + + Spans can have multiple child spans thus forming a span tree. + + This is the Span First span implementation. The original transaction-based + span implementation lives in tracing.Span. + """ + + __slots__ = ( + "_name", + "_attributes", + "_span_id", + "_trace_id", + "_status", + "_flags", + ) + + def __init__( + self, + *, + name: str, + attributes: "Optional[Attributes]" = None, + trace_id: "Optional[str]" = None, + ): + self._name: str = name + self._attributes: "Attributes" = {} + if attributes: + for attribute, value in attributes.items(): + self.set_attribute(attribute, value) + + self._span_id: "Optional[str]" = None + self._trace_id: "Optional[str]" = trace_id + + self.set_status(SpanStatus.OK) + self.set_source(SegmentSource.CUSTOM) + + self._flags: dict[str, bool] = {} + + def get_attributes(self) -> "Attributes": + return self._attributes + + def set_attribute(self, key: str, value: "AttributeValue") -> None: + self._attributes[key] = format_attribute(value) + + def set_attributes(self, attributes: "Attributes") -> None: + for key, value in attributes.items(): + self.set_attribute(key, value) + + def remove_attribute(self, key: str) -> None: + try: + del self._attributes[key] + except KeyError: + pass + + def get_status(self) -> "Union[SpanStatus, str]": + if self._status in {s.value for s in SpanStatus}: + return SpanStatus(self._status) + + return self._status + + def set_status(self, status: "Union[SpanStatus, str]") -> None: + if isinstance(status, Enum): + status = status.value + + self._status = status + + def set_http_status(self, http_status: int) -> None: + self.set_attribute(SPANDATA.HTTP_STATUS_CODE, http_status) + + if http_status >= 400: + self.set_status(SpanStatus.ERROR) + else: + self.set_status(SpanStatus.OK) + + def get_name(self) -> str: + return self._name + + def set_name(self, name: str) -> None: + self._name = name + + def set_flag(self, flag: str, result: bool) -> None: + if len(self._flags) < FLAGS_CAPACITY: + self._flags[flag] = result + + def set_op(self, op: str) -> None: + self.set_attribute("sentry.op", op) + + def set_origin(self, origin: str) -> None: + self.set_attribute("sentry.origin", origin) + + def set_source(self, source: "Union[str, SegmentSource]") -> None: + if isinstance(source, Enum): + source = source.value + + self.set_attribute("sentry.span.source", source) + + @property + def span_id(self) -> str: + if not self._span_id: + self._span_id = uuid.uuid4().hex[16:] + + return self._span_id + + @property + def trace_id(self) -> str: + if not self._trace_id: + self._trace_id = uuid.uuid4().hex + + return self._trace_id diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index 742582423b..c1d6c44535 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -106,6 +106,13 @@ def has_tracing_enabled(options: "Optional[Dict[str, Any]]") -> bool: ) +def has_span_streaming_enabled(options: "Optional[dict[str, Any]]") -> bool: + if options is None: + return False + + return (options.get("_experiments") or {}).get("trace_lifecycle") == "stream" + + @contextlib.contextmanager def record_sql_queries( cursor: "Any", diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py index 2fbca486de..29827db44e 100644 --- a/sentry_sdk/utils.py +++ b/sentry_sdk/utils.py @@ -2062,23 +2062,15 @@ def format_attribute(val: "Any") -> "AttributeValue": if isinstance(val, (bool, int, float, str)): return val - # Only lists of elements of a single type are supported - list_types: 'dict[type, Literal["string[]", "integer[]", "double[]", "boolean[]"]]' = { - str: "string[]", - int: "integer[]", - float: "double[]", - bool: "boolean[]", - } - if isinstance(val, (list, tuple)) and not val: return [] elif isinstance(val, list): ty = type(val[0]) - if ty in list_types and all(type(v) is ty for v in val): + if ty in (str, int, float, bool) and all(type(v) is ty for v in val): return copy.deepcopy(val) elif isinstance(val, tuple): ty = type(val[0]) - if ty in list_types and all(type(v) is ty for v in val): + if ty in (str, int, float, bool) and all(type(v) is ty for v in val): return list(val) return safe_repr(val) @@ -2097,19 +2089,12 @@ def serialize_attribute(val: "AttributeValue") -> "SerializedAttributeValue": if isinstance(val, list): if not val: - return {"value": [], "type": "string[]"} + return {"value": [], "type": "array"} # Only lists of elements of a single type are supported - list_types: 'dict[type, Literal["string[]", "integer[]", "double[]", "boolean[]"]]' = { - str: "string[]", - int: "integer[]", - float: "double[]", - bool: "boolean[]", - } - ty = type(val[0]) - if ty in list_types and all(type(v) is ty for v in val): - return {"value": val, "type": list_types[ty]} + if ty in (int, str, bool, float) and all(type(v) is ty for v in val): + return {"value": val, "type": "array"} # Coerce to string if we don't know what to do with the value. This should # never happen as we pre-format early in format_attribute, but let's be safe. diff --git a/setup.py b/setup.py index ef682c95b3..5bd3c4ae01 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def get_file_text(file_name): setup( name="sentry-sdk", - version="2.51.0", + version="2.53.0", author="Sentry Team and Contributors", author_email="hello@sentry.io", url="https://github.com/getsentry/sentry-python", diff --git a/tests/conftest.py b/tests/conftest.py index dea36f8bda..d6240e17eb 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,5 +1,7 @@ import json import os +import asyncio +from urllib.parse import urlparse, parse_qs import socket import warnings import brotli @@ -16,6 +18,12 @@ from werkzeug.wrappers import Request, Response import jsonschema +try: + from starlette.testclient import TestClient + # Catch RuntimeError to prevent the following exception in aws_lambda tests. + # RuntimeError: The starlette.testclient module requires the httpx package to be installed. +except (ImportError, RuntimeError): + TestClient = None try: import gevent @@ -45,9 +53,40 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Optional + from typing import Any, Callable, MutableMapping, Optional from collections.abc import Iterator +try: + from anyio import create_memory_object_stream, create_task_group, EndOfStream + from mcp.types import ( + JSONRPCMessage, + JSONRPCNotification, + JSONRPCRequest, + ) + from mcp.shared.message import SessionMessage + from httpx import ( + ASGITransport, + Request as HttpxRequest, + Response as HttpxResponse, + AsyncByteStream, + AsyncClient, + ) +except ImportError: + create_memory_object_stream = None + create_task_group = None + EndOfStream = None + + JSONRPCMessage = None + JSONRPCNotification = None + JSONRPCRequest = None + SessionMessage = None + + ASGITransport = None + HttpxRequest = None + HttpxResponse = None + AsyncByteStream = None + AsyncClient = None + SENTRY_EVENT_SCHEMA = "./checkouts/data-schemas/relay/event.schema.json" @@ -592,6 +631,379 @@ def suppress_deprecation_warnings(): yield +@pytest.fixture +def get_initialization_payload(): + def inner(request_id: str): + return SessionMessage( # type: ignore + message=JSONRPCMessage( # type: ignore + root=JSONRPCRequest( # type: ignore + jsonrpc="2.0", + id=request_id, + method="initialize", + params={ + "protocolVersion": "2025-11-25", + "capabilities": {}, + "clientInfo": {"name": "test-client", "version": "1.0.0"}, + }, + ) + ) + ) + + return inner + + +@pytest.fixture +def get_initialized_notification_payload(): + def inner(): + return SessionMessage( # type: ignore + message=JSONRPCMessage( # type: ignore + root=JSONRPCNotification( # type: ignore + jsonrpc="2.0", + method="notifications/initialized", + ) + ) + ) + + return inner + + +@pytest.fixture +def get_mcp_command_payload(): + def inner(method: str, params, request_id: str): + return SessionMessage( # type: ignore + message=JSONRPCMessage( # type: ignore + root=JSONRPCRequest( # type: ignore + jsonrpc="2.0", + id=request_id, + method=method, + params=params, + ) + ) + ) + + return inner + + +@pytest.fixture +def stdio( + get_initialization_payload, + get_initialized_notification_payload, + get_mcp_command_payload, +): + async def inner(server, method: str, params, request_id: str | None = None): + if request_id is None: + request_id = "1" + + read_stream_writer, read_stream = create_memory_object_stream(0) # type: ignore + write_stream, write_stream_reader = create_memory_object_stream(0) # type: ignore + + result = {} + + async def run_server(): + await server.run( + read_stream, write_stream, server.create_initialization_options() + ) + + async def simulate_client(tg, result): + init_request = get_initialization_payload("1") + await read_stream_writer.send(init_request) + + await write_stream_reader.receive() + + initialized_notification = get_initialized_notification_payload() + await read_stream_writer.send(initialized_notification) + + request = get_mcp_command_payload( + method, params=params, request_id=request_id + ) + await read_stream_writer.send(request) + + result["response"] = await write_stream_reader.receive() + + tg.cancel_scope.cancel() + + async with create_task_group() as tg: # type: ignore + tg.start_soon(run_server) + tg.start_soon(simulate_client, tg, result) + + return result["response"] + + return inner + + +@pytest.fixture() +def json_rpc(): + def inner(app, method: str, params, request_id: str): + with TestClient(app) as client: # type: ignore + init_response = client.post( + "/mcp/", + headers={ + "Accept": "application/json, text/event-stream", + "Content-Type": "application/json", + }, + json={ + "jsonrpc": "2.0", + "method": "initialize", + "params": { + "clientInfo": {"name": "test-client", "version": "1.0"}, + "protocolVersion": "2025-11-25", + "capabilities": {}, + }, + "id": request_id, + }, + ) + + session_id = init_response.headers["mcp-session-id"] + + # Notification response is mandatory. + # https://modelcontextprotocol.io/specification/2025-11-25/basic/lifecycle + client.post( + "/mcp/", + headers={ + "Accept": "application/json, text/event-stream", + "Content-Type": "application/json", + "mcp-session-id": session_id, + }, + json={ + "jsonrpc": "2.0", + "method": "notifications/initialized", + "params": {}, + }, + ) + + response = client.post( + "/mcp/", + headers={ + "Accept": "application/json, text/event-stream", + "Content-Type": "application/json", + "mcp-session-id": session_id, + }, + json={ + "jsonrpc": "2.0", + "method": method, + "params": params, + "id": request_id, + }, + ) + + return session_id, response + + return inner + + +@pytest.fixture() +def select_mcp_transactions(): + def inner(events): + return [ + event + for event in events + if event["type"] == "transaction" + and event["contexts"]["trace"]["op"] == "mcp.server" + ] + + return inner + + +@pytest.fixture() +def select_transactions_with_mcp_spans(): + def inner(events, method_name): + return [ + transaction + for transaction in events + if transaction["type"] == "transaction" + and any( + span["data"].get("mcp.method.name") == method_name + for span in transaction.get("spans", []) + ) + ] + + return inner + + +@pytest.fixture() +def json_rpc_sse(): + class StreamingASGITransport(ASGITransport): + """ + Simple transport whose only purpose is to keep GET request alive in SSE connections, allowing + tests involving SSE interactions to run in-process. + """ + + def __init__( + self, + app: "Callable", + keep_sse_alive: "asyncio.Event", + ) -> None: + self.keep_sse_alive = keep_sse_alive + super().__init__(app) + + async def handle_async_request( + self, request: "HttpxRequest" + ) -> "HttpxResponse": + scope = { + "type": "http", + "method": request.method, + "headers": [(k.lower(), v) for (k, v) in request.headers.raw], + "path": request.url.path, + "query_string": request.url.query, + } + + is_streaming_sse = scope["method"] == "GET" and scope["path"] == "/sse" + if not is_streaming_sse: + return await super().handle_async_request(request) + + request_body = b"" + if request.content: + request_body = await request.aread() + + body_sender, body_receiver = create_memory_object_stream[bytes](0) # type: ignore + + async def receive() -> "dict[str, Any]": + if self.keep_sse_alive.is_set(): + return {"type": "http.disconnect"} + + await self.keep_sse_alive.wait() # Keep alive :) + return { + "type": "http.request", + "body": request_body, + "more_body": False, + } + + async def send(message: "MutableMapping[str, Any]") -> None: + if message["type"] == "http.response.body": + body = message.get("body", b"") + more_body = message.get("more_body", False) + + if body == b"" and not more_body: + return + + if body: + await body_sender.send(body) + + if not more_body: + await body_sender.aclose() + + async def run_app(): + await self.app(scope, receive, send) + + class StreamingBodyStream(AsyncByteStream): # type: ignore + def __init__(self, receiver): + self.receiver = receiver + + async def __aiter__(self): + try: + async for chunk in self.receiver: + yield chunk + except EndOfStream: # type: ignore + pass + + stream = StreamingBodyStream(body_receiver) + response = HttpxResponse(status_code=200, headers=[], stream=stream) # type: ignore + + asyncio.create_task(run_app()) + return response + + def parse_sse_data_package(sse_chunk): + sse_text = sse_chunk.decode("utf-8") + json_str = sse_text.split("data: ")[1] + return json.loads(json_str) + + async def inner( + app, method: str, params, request_id: str, keep_sse_alive: "asyncio.Event" + ): + context = {} + + stream_complete = asyncio.Event() + endpoint_parsed = asyncio.Event() + + # https://github.com/Kludex/starlette/issues/104#issuecomment-729087925 + async with AsyncClient( # type: ignore + transport=StreamingASGITransport(app=app, keep_sse_alive=keep_sse_alive), + base_url="http://test", + ) as client: + + async def parse_stream(): + async with client.stream("GET", "/sse") as stream: + # Read directly from stream.stream instead of aiter_bytes() + async for chunk in stream.stream: + if b"event: endpoint" in chunk: + sse_text = chunk.decode("utf-8") + url = sse_text.split("data: ")[1] + + parsed = urlparse(url) + query_params = parse_qs(parsed.query) + context["session_id"] = query_params["session_id"][0] + endpoint_parsed.set() + continue + + if b"event: message" in chunk and b"structuredContent" in chunk: + context["response"] = parse_sse_data_package(chunk) + break + elif ( + "result" in parse_sse_data_package(chunk) + and "content" in parse_sse_data_package(chunk)["result"] + ): + context["response"] = parse_sse_data_package(chunk) + break + + stream_complete.set() + + task = asyncio.create_task(parse_stream()) + await endpoint_parsed.wait() + + await client.post( + f"/messages/?session_id={context['session_id']}", + headers={ + "Content-Type": "application/json", + }, + json={ + "jsonrpc": "2.0", + "method": "initialize", + "params": { + "clientInfo": {"name": "test-client", "version": "1.0"}, + "protocolVersion": "2025-11-25", + "capabilities": {}, + }, + "id": request_id, + }, + ) + + # Notification response is mandatory. + # https://modelcontextprotocol.io/specification/2025-11-25/basic/lifecycle + await client.post( + f"/messages/?session_id={context['session_id']}", + headers={ + "Content-Type": "application/json", + "mcp-session-id": context["session_id"], + }, + json={ + "jsonrpc": "2.0", + "method": "notifications/initialized", + "params": {}, + }, + ) + + await client.post( + f"/messages/?session_id={context['session_id']}", + headers={ + "Content-Type": "application/json", + "mcp-session-id": context["session_id"], + }, + json={ + "jsonrpc": "2.0", + "method": method, + "params": params, + "id": request_id, + }, + ) + + await stream_complete.wait() + keep_sse_alive.set() + + return task, context["session_id"], context["response"] + + return inner + + class MockServerRequestHandler(BaseHTTPRequestHandler): def do_GET(self): # noqa: N802 # Process an HTTP GET request and return a response. diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py index 84d773e129..49164adf32 100644 --- a/tests/integrations/anthropic/test_anthropic.py +++ b/tests/integrations/anthropic/test_anthropic.py @@ -49,6 +49,7 @@ async def __call__(self, *args, **kwargs): _set_output_data, _collect_ai_data, _transform_anthropic_content_block, + _RecordedUsage, ) from sentry_sdk.ai.utils import transform_content_part, transform_message_content from sentry_sdk.utils import package_version @@ -307,8 +308,8 @@ def test_streaming_create_message( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True @@ -412,8 +413,8 @@ async def test_streaming_create_message_async( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True @@ -546,8 +547,8 @@ def test_streaming_create_message_with_input_json_delta( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 366 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 51 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 417 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 41 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 407 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True @@ -688,8 +689,8 @@ async def test_streaming_create_message_with_input_json_delta_async( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 366 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 51 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 417 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 41 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 407 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True @@ -849,18 +850,19 @@ def test_collect_ai_data_with_input_json_delta(): type="content_block_delta", ) model = None - input_tokens = 10 - output_tokens = 20 + + usage = _RecordedUsage() + usage.output_tokens = 20 + usage.input_tokens = 10 + content_blocks = [] - model, new_input_tokens, new_output_tokens, _, _, new_content_blocks = ( - _collect_ai_data( - event, model, input_tokens, output_tokens, 0, 0, content_blocks - ) + model, new_usage, new_content_blocks = _collect_ai_data( + event, model, usage, content_blocks ) assert model is None - assert new_input_tokens == input_tokens - assert new_output_tokens == output_tokens + assert new_usage.input_tokens == usage.input_tokens + assert new_usage.output_tokens == usage.output_tokens assert new_content_blocks == ["test"] @@ -1010,7 +1012,6 @@ def test_anthropic_message_truncation(sentry_init, capture_events): assert len(parsed_messages) == 1 assert "small message 5" in str(parsed_messages[0]) - assert chat_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 5 assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 @@ -1062,7 +1063,6 @@ async def test_anthropic_message_truncation_async(sentry_init, capture_events): assert len(parsed_messages) == 1 assert "small message 5" in str(parsed_messages[0]) - assert chat_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 5 assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 @@ -1345,8 +1345,8 @@ def test_streaming_create_message_with_system_prompt( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True @@ -1465,8 +1465,8 @@ async def test_streaming_create_message_with_system_prompt_async( assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 - assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 - assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 20 assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True diff --git a/tests/integrations/arq/test_arq.py b/tests/integrations/arq/test_arq.py index d8b7e715f2..177f047101 100644 --- a/tests/integrations/arq/test_arq.py +++ b/tests/integrations/arq/test_arq.py @@ -131,9 +131,58 @@ def inner( return inner +@pytest.fixture +def init_arq_with_kwarg_settings(sentry_init): + """Test fixture that passes settings_cls as keyword argument only.""" + + def inner( + cls_functions=None, + cls_cron_jobs=None, + kw_functions=None, + kw_cron_jobs=None, + allow_abort_jobs_=False, + ): + cls_functions = cls_functions or [] + cls_cron_jobs = cls_cron_jobs or [] + + kwargs = {} + if kw_functions is not None: + kwargs["functions"] = kw_functions + if kw_cron_jobs is not None: + kwargs["cron_jobs"] = kw_cron_jobs + + sentry_init( + integrations=[ArqIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + server = FakeRedis() + pool = ArqRedis(pool_or_conn=server.connection_pool) + + class WorkerSettings: + functions = cls_functions + cron_jobs = cls_cron_jobs + redis_pool = pool + allow_abort_jobs = allow_abort_jobs_ + + if not WorkerSettings.functions: + del WorkerSettings.functions + if not WorkerSettings.cron_jobs: + del WorkerSettings.cron_jobs + + # Pass settings_cls as keyword argument (not positional) + worker = arq.worker.create_worker(settings_cls=WorkerSettings, **kwargs) + + return pool, worker + + return inner + + @pytest.mark.asyncio @pytest.mark.parametrize( - "init_arq_settings", ["init_arq", "init_arq_with_dict_settings"] + "init_arq_settings", + ["init_arq", "init_arq_with_dict_settings", "init_arq_with_kwarg_settings"], ) async def test_job_result(init_arq_settings, request): async def increase(ctx, num): diff --git a/tests/integrations/dramatiq/test_dramatiq.py b/tests/integrations/dramatiq/test_dramatiq.py index 3860ee61d9..a9d3966839 100644 --- a/tests/integrations/dramatiq/test_dramatiq.py +++ b/tests/integrations/dramatiq/test_dramatiq.py @@ -1,15 +1,16 @@ -import pytest import uuid import dramatiq +import pytest from dramatiq.brokers.stub import StubBroker +from dramatiq.middleware import Middleware, SkipMessage import sentry_sdk -from sentry_sdk.tracing import TransactionSource from sentry_sdk import start_transaction from sentry_sdk.consts import SPANSTATUS from sentry_sdk.integrations.dramatiq import DramatiqIntegration from sentry_sdk.integrations.logging import ignore_logger +from sentry_sdk.tracing import Transaction, TransactionSource ignore_logger("dramatiq.worker.WorkerThread") @@ -386,3 +387,28 @@ def dummy_actor(): worker.join() assert events == [] + + +@pytest.mark.parametrize("broker", [1.0], indirect=True) +def test_that_skip_message_cleans_up_scope_and_transaction( + broker, worker, capture_events +): + transactions: list[Transaction] = [] + + class SkipMessageMiddleware(Middleware): + def before_process_message(self, broker, message): + transactions.append(sentry_sdk.get_current_scope().transaction) + raise SkipMessage() + + broker.add_middleware(SkipMessageMiddleware()) + + @dramatiq.actor(max_retries=0) + def skipped_actor(): ... + + skipped_actor.send() + + broker.join(skipped_actor.queue_name) + worker.join() + + (transaction,) = transactions + assert transaction.timestamp is not None diff --git a/tests/integrations/fastmcp/test_fastmcp.py b/tests/integrations/fastmcp/test_fastmcp.py index 17f49b8b40..bcfd9a62d1 100644 --- a/tests/integrations/fastmcp/test_fastmcp.py +++ b/tests/integrations/fastmcp/test_fastmcp.py @@ -21,6 +21,7 @@ accurate testing of the integration's behavior in real MCP Server scenarios. """ +import anyio import asyncio import json import pytest @@ -39,6 +40,19 @@ async def __call__(self, *args, **kwargs): from sentry_sdk.consts import SPANDATA, OP from sentry_sdk.integrations.mcp import MCPIntegration +from mcp.server.sse import SseServerTransport +from mcp.server.streamable_http_manager import StreamableHTTPSessionManager + +try: + from fastmcp.prompts import Message +except ImportError: + Message = None + + +from starlette.responses import Response +from starlette.routing import Mount, Route +from starlette.applications import Starlette + # Try to import both FastMCP implementations try: from mcp.server.fastmcp import FastMCP as MCPFastMCP @@ -71,6 +85,10 @@ async def __call__(self, *args, **kwargs): GetPromptRequest = None ReadResourceRequest = None +try: + from fastmcp import __version__ as FASTMCP_VERSION +except ImportError: + FASTMCP_VERSION = None # Collect available FastMCP implementations for parametrization fastmcp_implementations = [] @@ -245,46 +263,19 @@ def reset_request_ctx(): pass -class MockRequestContext: - """Mock MCP request context""" - - def __init__(self, request_id=None, session_id=None, transport="stdio"): - self.request_id = request_id - if transport in ("http", "sse"): - self.request = MockHTTPRequest(session_id, transport) - else: - self.request = None - - -class MockHTTPRequest: - """Mock HTTP request for SSE/StreamableHTTP transport""" - - def __init__(self, session_id=None, transport="http"): - self.headers = {} - self.query_params = {} - - if transport == "sse": - # SSE transport uses query parameter - if session_id: - self.query_params["session_id"] = session_id - else: - # StreamableHTTP transport uses header - if session_id: - self.headers["mcp-session-id"] = session_id - - # ============================================================================= # Tool Handler Tests - Verifying Sentry Integration # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (True, False), (False, True), (False, False)], ) -def test_fastmcp_tool_sync( - sentry_init, capture_events, FastMCP, send_default_pii, include_prompts +async def test_fastmcp_tool_sync( + sentry_init, capture_events, FastMCP, send_default_pii, include_prompts, stdio ): """Test that FastMCP synchronous tool handlers create proper spans""" sentry_init( @@ -296,11 +287,6 @@ def test_fastmcp_tool_sync( mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-123", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def add_numbers(a: int, b: int) -> dict: """Add two numbers together""" @@ -308,9 +294,20 @@ def add_numbers(a: int, b: int) -> dict: with start_transaction(name="fastmcp tx"): # Call through MCP protocol to trigger instrumentation - result = call_tool_through_mcp(mcp, "add_numbers", {"a": 10, "b": 5}) + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "add_numbers", + "arguments": {"a": 10, "b": 5}, + }, + request_id="req-123", + ) - assert result == {"result": 15, "operation": "addition"} + assert json.loads(result.message.root.result["content"][0]["text"]) == { + "result": 15, + "operation": "addition", + } (tx,) = events assert tx["type"] == "transaction" @@ -340,7 +337,13 @@ def add_numbers(a: int, b: int) -> dict: [(True, True), (True, False), (False, True), (False, False)], ) async def test_fastmcp_tool_async( - sentry_init, capture_events, FastMCP, send_default_pii, include_prompts + sentry_init, + capture_events, + FastMCP, + send_default_pii, + include_prompts, + json_rpc, + select_transactions_with_mcp_spans, ): """Test that FastMCP async tool handlers create proper spans""" sentry_init( @@ -352,31 +355,44 @@ async def test_fastmcp_tool_async( mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext( - request_id="req-456", session_id="session-789", transport="http" - ) - request_ctx.set(mock_ctx) + session_manager = StreamableHTTPSessionManager( + app=mcp._mcp_server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), + ) @mcp.tool() async def multiply_numbers(x: int, y: int) -> dict: """Multiply two numbers together""" return {"result": x * y, "operation": "multiplication"} - with start_transaction(name="fastmcp tx"): - result = await call_tool_through_mcp_async( - mcp, "multiply_numbers", {"x": 7, "y": 6} - ) + session_id, result = json_rpc( + app, + method="tools/call", + params={ + "name": "multiply_numbers", + "arguments": {"x": 7, "y": 6}, + }, + request_id="req-456", + ) - assert result == {"result": 42, "operation": "multiplication"} + assert json.loads(result.json()["result"]["content"][0]["text"]) == { + "result": 42, + "operation": "multiplication", + } - (tx,) = events - assert tx["type"] == "transaction" + transactions = select_transactions_with_mcp_spans(events, method_name="tools/call") + assert len(transactions) == 1 + tx = transactions[0] assert len(tx["spans"]) == 1 - - # Verify span structure span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER assert span["origin"] == "auto.ai.mcp" assert span["description"] == "tools/call multiply_numbers" @@ -384,7 +400,7 @@ async def multiply_numbers(x: int, y: int) -> dict: assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call" assert span["data"][SPANDATA.MCP_TRANSPORT] == "http" assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-456" - assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-789" + assert span["data"][SPANDATA.MCP_SESSION_ID] == session_id # Check PII-sensitive data if send_default_pii and include_prompts: @@ -393,8 +409,9 @@ async def multiply_numbers(x: int, y: int) -> dict: assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"] +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_tool_with_error(sentry_init, capture_events, FastMCP): +async def test_fastmcp_tool_with_error(sentry_init, capture_events, FastMCP, stdio): """Test that FastMCP tool handler errors are captured properly""" sentry_init( integrations=[MCPIntegration()], @@ -404,26 +421,23 @@ def test_fastmcp_tool_with_error(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-error", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def failing_tool(value: int) -> int: """A tool that always fails""" raise ValueError("Tool execution failed") with start_transaction(name="fastmcp tx"): - # MCP protocol may raise the error or return it as an error result - try: - result = call_tool_through_mcp(mcp, "failing_tool", {"value": 42}) - # If no exception raised, check if result indicates error - if hasattr(result, "isError"): - assert result.isError is True - except ValueError: - # Error was raised as expected - pass + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "failing_tool", + "arguments": {"value": 42}, + }, + request_id="req-error", + ) + # If no exception raised, check if result indicates error + assert result.message.root.result["isError"] is True # Should have transaction and error events assert len(events) >= 1 @@ -443,8 +457,9 @@ def failing_tool(value: int) -> int: assert tool_spans[0]["data"][SPANDATA.MCP_TOOL_RESULT_IS_ERROR] is True +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_multiple_tools(sentry_init, capture_events, FastMCP): +async def test_fastmcp_multiple_tools(sentry_init, capture_events, FastMCP, stdio): """Test that multiple FastMCP tool calls create multiple spans""" sentry_init( integrations=[MCPIntegration()], @@ -454,11 +469,6 @@ def test_fastmcp_multiple_tools(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-multi", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def tool_one(x: int) -> int: """First tool""" @@ -475,13 +485,43 @@ def tool_three(z: int) -> int: return z - 5 with start_transaction(name="fastmcp tx"): - result1 = call_tool_through_mcp(mcp, "tool_one", {"x": 5}) - result2 = call_tool_through_mcp(mcp, "tool_two", {"y": result1["result"]}) - result3 = call_tool_through_mcp(mcp, "tool_three", {"z": result2["result"]}) + result1 = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "tool_one", + "arguments": {"x": 5}, + }, + request_id="req-multi", + ) - assert result1["result"] == 10 - assert result2["result"] == 20 - assert result3["result"] == 15 + result2 = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "tool_two", + "arguments": { + "y": int(result1.message.root.result["content"][0]["text"]) + }, + }, + request_id="req-multi", + ) + + result3 = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "tool_three", + "arguments": { + "z": int(result2.message.root.result["content"][0]["text"]) + }, + }, + request_id="req-multi", + ) + + assert result1.message.root.result["content"][0]["text"] == "10" + assert result2.message.root.result["content"][0]["text"] == "20" + assert result3.message.root.result["content"][0]["text"] == "15" (tx,) = events assert tx["type"] == "transaction" @@ -494,8 +534,11 @@ def tool_three(z: int) -> int: assert tool_spans[2]["data"][SPANDATA.MCP_TOOL_NAME] == "tool_three" +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_tool_with_complex_return(sentry_init, capture_events, FastMCP): +async def test_fastmcp_tool_with_complex_return( + sentry_init, capture_events, FastMCP, stdio +): """Test FastMCP tool with complex nested return value""" sentry_init( integrations=[MCPIntegration(include_prompts=True)], @@ -506,11 +549,6 @@ def test_fastmcp_tool_with_complex_return(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-complex", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def get_user_data(user_id: int) -> dict: """Get complex user data""" @@ -522,11 +560,22 @@ def get_user_data(user_id: int) -> dict: } with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "get_user_data", {"user_id": 123}) + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "get_user_data", + "arguments": {"user_id": 123}, + }, + request_id="req-complex", + ) - assert result["id"] == 123 - assert result["name"] == "Alice" - assert result["nested"]["preferences"]["theme"] == "dark" + assert json.loads(result.message.root.result["content"][0]["text"]) == { + "id": 123, + "name": "Alice", + "nested": {"preferences": {"theme": "dark", "notifications": True}}, + "tags": ["admin", "verified"], + } (tx,) = events assert tx["type"] == "transaction" @@ -545,13 +594,14 @@ def get_user_data(user_id: int) -> dict: # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (False, False)], ) -def test_fastmcp_prompt_sync( - sentry_init, capture_events, FastMCP, send_default_pii, include_prompts +async def test_fastmcp_prompt_sync( + sentry_init, capture_events, FastMCP, send_default_pii, include_prompts, stdio ): """Test that FastMCP synchronous prompt handlers create proper spans""" sentry_init( @@ -563,38 +613,41 @@ def test_fastmcp_prompt_sync( mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-prompt", transport="stdio") - request_ctx.set(mock_ctx) - # Try to register a prompt handler (may not be supported in all versions) if hasattr(mcp, "prompt"): @mcp.prompt() def code_help_prompt(language: str): """Get help for a programming language""" - return [ - { - "role": "user", - "content": { - "type": "text", - "text": f"Tell me about {language}", - }, - } - ] + message = { + "role": "user", + "content": { + "type": "text", + "text": f"Tell me about {language}", + }, + } + + if FASTMCP_VERSION is not None and FASTMCP_VERSION.startswith("3"): + message = Message(message) + + return [message] with start_transaction(name="fastmcp tx"): - try: - result = call_prompt_through_mcp( - mcp, "code_help_prompt", {"language": "python"} - ) - except AttributeError: - # Prompt handler not supported in this version - pytest.skip("Prompt handlers not supported in this FastMCP version") + result = await stdio( + mcp._mcp_server, + method="prompts/get", + params={ + "name": "code_help_prompt", + "arguments": {"language": "python"}, + }, + request_id="req-prompt", + ) - assert result.messages[0].role == "user" - assert "python" in result.messages[0].content.text.lower() + assert result.message.root.result["messages"][0]["role"] == "user" + assert ( + "python" + in result.message.root.result["messages"][0]["content"]["text"].lower() + ) (tx,) = events assert tx["type"] == "transaction" @@ -616,7 +669,13 @@ def code_help_prompt(language: str): @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) @pytest.mark.asyncio -async def test_fastmcp_prompt_async(sentry_init, capture_events, FastMCP): +async def test_fastmcp_prompt_async( + sentry_init, + capture_events, + FastMCP, + json_rpc, + select_transactions_with_mcp_spans, +): """Test that FastMCP async prompt handlers create proper spans""" sentry_init( integrations=[MCPIntegration()], @@ -626,12 +685,17 @@ async def test_fastmcp_prompt_async(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext( - request_id="req-async-prompt", session_id="session-abc", transport="http" - ) - request_ctx.set(mock_ctx) + session_manager = StreamableHTTPSessionManager( + app=mcp._mcp_server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), + ) # Try to register an async prompt handler if hasattr(mcp, "prompt"): @@ -639,33 +703,41 @@ async def test_fastmcp_prompt_async(sentry_init, capture_events, FastMCP): @mcp.prompt() async def async_prompt(topic: str): """Get async prompt for a topic""" - return [ - { - "role": "user", - "content": {"type": "text", "text": f"What is {topic}?"}, + message1 = { + "role": "user", + "content": {"type": "text", "text": f"What is {topic}?"}, + } + + message2 = { + "role": "assistant", + "content": { + "type": "text", + "text": "Let me explain that", }, - { - "role": "assistant", - "content": { - "type": "text", - "text": "Let me explain that", - }, - }, - ] - - with start_transaction(name="fastmcp tx"): - try: - result = await call_prompt_through_mcp_async( - mcp, "async_prompt", {"topic": "MCP"} - ) - except AttributeError: - # Prompt handler not supported in this version - pytest.skip("Prompt handlers not supported in this FastMCP version") + } + + if FASTMCP_VERSION is not None and FASTMCP_VERSION.startswith("3"): + message1 = Message(message1) + message2 = Message(message2) + + return [message1, message2] + + _, result = json_rpc( + app, + method="prompts/get", + params={ + "name": "async_prompt", + "arguments": {"topic": "MCP"}, + }, + request_id="req-async-prompt", + ) - assert len(result.messages) == 2 + assert len(result.json()["result"]["messages"]) == 2 - (tx,) = events - assert tx["type"] == "transaction" + transactions = select_transactions_with_mcp_spans( + events, method_name="prompts/get" + ) + assert len(transactions) == 1 # ============================================================================= @@ -673,8 +745,9 @@ async def async_prompt(topic: str): # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_resource_sync(sentry_init, capture_events, FastMCP): +async def test_fastmcp_resource_sync(sentry_init, capture_events, FastMCP, stdio): """Test that FastMCP synchronous resource handlers create proper spans""" sentry_init( integrations=[MCPIntegration()], @@ -684,11 +757,6 @@ def test_fastmcp_resource_sync(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-resource", transport="stdio") - request_ctx.set(mock_ctx) - # Try to register a resource handler try: if hasattr(mcp, "resource"): @@ -700,7 +768,14 @@ def read_file(path: str): with start_transaction(name="fastmcp tx"): try: - result = call_resource_through_mcp(mcp, "file:///test.txt") + result = await stdio( + mcp._mcp_server, + method="resources/read", + params={ + "uri": "file:///test.txt", + }, + request_id="req-resource", + ) except ValueError as e: # Older FastMCP versions may not support this URI pattern if "Unknown resource" in str(e): @@ -710,7 +785,7 @@ def read_file(path: str): raise # Resource content is returned as-is - assert "file contents" in result.contents[0].text + assert "file contents" in result.message.root.result["contents"][0]["text"] (tx,) = events assert tx["type"] == "transaction" @@ -729,7 +804,13 @@ def read_file(path: str): @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) @pytest.mark.asyncio -async def test_fastmcp_resource_async(sentry_init, capture_events, FastMCP): +async def test_fastmcp_resource_async( + sentry_init, + capture_events, + FastMCP, + json_rpc, + select_transactions_with_mcp_spans, +): """Test that FastMCP async resource handlers create proper spans""" sentry_init( integrations=[MCPIntegration()], @@ -739,12 +820,17 @@ async def test_fastmcp_resource_async(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext( - request_id="req-async-resource", session_id="session-res", transport="http" - ) - request_ctx.set(mock_ctx) + session_manager = StreamableHTTPSessionManager( + app=mcp._mcp_server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), + ) # Try to register an async resource handler try: @@ -755,28 +841,33 @@ async def read_url(resource: str): """Read a URL resource""" return "resource data" - with start_transaction(name="fastmcp tx"): - try: - result = await call_resource_through_mcp_async( - mcp, "https://example.com/resource" - ) - except ValueError as e: - # Older FastMCP versions may not support this URI pattern - if "Unknown resource" in str(e): - pytest.skip( - f"Resource URI not supported in this FastMCP version: {e}" - ) - raise - - assert "resource data" in result.contents[0].text - - (tx,) = events - assert tx["type"] == "transaction" - - # Verify span was created - resource_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] - assert len(resource_spans) == 1 - assert resource_spans[0]["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "https" + _, result = json_rpc( + app, + method="resources/read", + params={ + "uri": "https://example.com/resource", + }, + request_id="req-async-resource", + ) + # Older FastMCP versions may not support this URI pattern + if ( + "error" in result.json() + and "Unknown resource" in result.json()["error"]["message"] + ): + pytest.skip("Resource URI not supported in this FastMCP version.") + return + + assert "resource data" in result.json()["result"]["contents"][0]["text"] + + transactions = select_transactions_with_mcp_spans( + events, method_name="resources/read" + ) + assert len(transactions) == 1 + tx = transactions[0] + assert len(tx["spans"]) == 1 + span = tx["spans"][0] + + assert span["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "https" except (AttributeError, TypeError): # Resource handler not supported in this version pytest.skip("Resource handlers not supported in this FastMCP version") @@ -787,8 +878,9 @@ async def read_url(resource: str): # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_span_origin(sentry_init, capture_events, FastMCP): +async def test_fastmcp_span_origin(sentry_init, capture_events, FastMCP, stdio): """Test that FastMCP span origin is set correctly""" sentry_init( integrations=[MCPIntegration()], @@ -798,18 +890,21 @@ def test_fastmcp_span_origin(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-origin", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def test_tool(value: int) -> int: """Test tool for origin checking""" return value * 2 with start_transaction(name="fastmcp tx"): - call_tool_through_mcp(mcp, "test_tool", {"value": 21}) + await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "test_tool", + "arguments": {"value": 21}, + }, + request_id="req-origin", + ) (tx,) = events @@ -821,43 +916,16 @@ def test_tool(value: int) -> int: assert mcp_spans[0]["origin"] == "auto.ai.mcp" -@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_without_request_context(sentry_init, capture_events, FastMCP): - """Test FastMCP handling when no request context is available""" - sentry_init( - integrations=[MCPIntegration()], - traces_sample_rate=1.0, - ) - events = capture_events() - - mcp = FastMCP("Test Server") - - # Clear request context - if request_ctx is not None: - request_ctx.set(None) - - @mcp.tool() - def test_tool_no_ctx(x: int) -> dict: - """Test tool without context""" - return {"result": x + 1} - - with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "test_tool_no_ctx", {"x": 99}) - - assert result == {"result": 100} - - # Should still create transaction even if context is missing - (tx,) = events - assert tx["type"] == "transaction" - - # ============================================================================= # Transport Detection Tests # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_sse_transport(sentry_init, capture_events, FastMCP): +async def test_fastmcp_sse_transport( + sentry_init, capture_events, FastMCP, json_rpc_sse +): """Test that FastMCP correctly detects SSE transport""" sentry_init( integrations=[MCPIntegration()], @@ -866,25 +934,66 @@ def test_fastmcp_sse_transport(sentry_init, capture_events, FastMCP): events = capture_events() mcp = FastMCP("Test Server") + sse = SseServerTransport("/messages/") - # Set up mock request context with SSE transport - if request_ctx is not None: - mock_ctx = MockRequestContext( - request_id="req-sse", session_id="session-sse-123", transport="sse" - ) - request_ctx.set(mock_ctx) + sse_connection_closed = asyncio.Event() + + async def handle_sse(request): + async with sse.connect_sse( + request.scope, request.receive, request._send + ) as streams: + async with anyio.create_task_group() as tg: + + async def run_server(): + await mcp._mcp_server.run( + streams[0], + streams[1], + mcp._mcp_server.create_initialization_options(), + ) + + tg.start_soon(run_server) + + sse_connection_closed.set() + return Response() + + app = Starlette( + routes=[ + Route("/sse", endpoint=handle_sse, methods=["GET"]), + Mount("/messages/", app=sse.handle_post_message), + ], + ) @mcp.tool() def sse_tool(value: str) -> dict: """Tool for SSE transport test""" return {"message": f"Received: {value}"} - with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "sse_tool", {"value": "hello"}) + keep_sse_alive = asyncio.Event() + app_task, _, result = await json_rpc_sse( + app, + method="tools/call", + params={ + "name": "sse_tool", + "arguments": {"value": "hello"}, + }, + request_id="req-sse", + keep_sse_alive=keep_sse_alive, + ) - assert result == {"message": "Received: hello"} + await sse_connection_closed.wait() + await app_task - (tx,) = events + assert json.loads(result["result"]["content"][0]["text"]) == { + "message": "Received: hello" + } + + transactions = [ + event + for event in events + if event["type"] == "transaction" and event["transaction"] == "/sse" + ] + assert len(transactions) == 1 + tx = transactions[0] # Find MCP spans mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] @@ -895,7 +1004,13 @@ def sse_tool(value: str) -> dict: @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_http_transport(sentry_init, capture_events, FastMCP): +def test_fastmcp_http_transport( + sentry_init, + capture_events, + FastMCP, + json_rpc, + select_transactions_with_mcp_spans, +): """Test that FastMCP correctly detects HTTP transport""" sentry_init( integrations=[MCPIntegration()], @@ -905,35 +1020,50 @@ def test_fastmcp_http_transport(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context with HTTP transport - if request_ctx is not None: - mock_ctx = MockRequestContext( - request_id="req-http", session_id="session-http-456", transport="http" - ) - request_ctx.set(mock_ctx) + session_manager = StreamableHTTPSessionManager( + app=mcp._mcp_server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), + ) @mcp.tool() def http_tool(data: str) -> dict: """Tool for HTTP transport test""" return {"processed": data.upper()} - with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "http_tool", {"data": "test"}) + _, result = json_rpc( + app, + method="tools/call", + params={ + "name": "http_tool", + "arguments": {"data": "test"}, + }, + request_id="req-http", + ) - assert result == {"processed": "TEST"} + assert json.loads(result.json()["result"]["content"][0]["text"]) == { + "processed": "TEST" + } - (tx,) = events + transactions = select_transactions_with_mcp_spans(events, method_name="tools/call") + assert len(transactions) == 1 + tx = transactions[0] + assert len(tx["spans"]) == 1 + span = tx["spans"][0] - # Find MCP spans - mcp_spans = [s for s in tx["spans"] if s["op"] == OP.MCP_SERVER] - assert len(mcp_spans) >= 1 - span = mcp_spans[0] # Check that HTTP transport is detected assert span["data"].get(SPANDATA.MCP_TRANSPORT) == "http" +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_stdio_transport(sentry_init, capture_events, FastMCP): +async def test_fastmcp_stdio_transport(sentry_init, capture_events, FastMCP, stdio): """Test that FastMCP correctly detects stdio transport""" sentry_init( integrations=[MCPIntegration()], @@ -943,20 +1073,25 @@ def test_fastmcp_stdio_transport(sentry_init, capture_events, FastMCP): mcp = FastMCP("Test Server") - # Set up mock request context with stdio transport - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-stdio", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def stdio_tool(n: int) -> dict: """Tool for stdio transport test""" return {"squared": n * n} with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "stdio_tool", {"n": 7}) + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "stdio_tool", + "arguments": {"n": 7}, + }, + request_id="req-stdio", + ) - assert result == {"squared": 49} + assert json.loads(result.message.root.result["content"][0]["text"]) == { + "squared": 49 + } (tx,) = events @@ -1000,10 +1135,11 @@ def package_specific_tool(x: int) -> int: assert tx["type"] == "transaction" +@pytest.mark.asyncio @pytest.mark.skipif( not HAS_STANDALONE_FASTMCP, reason="standalone fastmcp not installed" ) -def test_standalone_fastmcp_specific_features(sentry_init, capture_events): +async def test_standalone_fastmcp_specific_features(sentry_init, capture_events, stdio): """Test features specific to standalone fastmcp package""" sentry_init( integrations=[MCPIntegration()], @@ -1021,12 +1157,19 @@ def standalone_specific_tool(message: str) -> dict: return {"echo": message, "length": len(message)} with start_transaction(name="standalone fastmcp tx"): - result = call_tool_through_mcp( - mcp, "standalone_specific_tool", {"message": "Hello FastMCP"} + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "standalone_specific_tool", + "arguments": {"message": "Hello FastMCP"}, + }, ) - assert result["echo"] == "Hello FastMCP" - assert result["length"] == 13 + assert json.loads(result.message.root.result["content"][0]["text"]) == { + "echo": "Hello FastMCP", + "length": 13, + } (tx,) = events assert tx["type"] == "transaction" @@ -1037,8 +1180,11 @@ def standalone_specific_tool(message: str) -> dict: # ============================================================================= +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_tool_with_no_arguments(sentry_init, capture_events, FastMCP): +async def test_fastmcp_tool_with_no_arguments( + sentry_init, capture_events, FastMCP, stdio +): """Test FastMCP tool with no arguments""" sentry_init( integrations=[MCPIntegration()], @@ -1054,16 +1200,26 @@ def no_args_tool() -> str: return "success" with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "no_args_tool", {}) + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "no_args_tool", + "arguments": {}, + }, + ) - assert result["result"] == "success" + assert result.message.root.result["content"][0]["text"] == "success" (tx,) = events assert tx["type"] == "transaction" +@pytest.mark.asyncio @pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) -def test_fastmcp_tool_with_none_return(sentry_init, capture_events, FastMCP): +async def test_fastmcp_tool_with_none_return( + sentry_init, capture_events, FastMCP, stdio +): """Test FastMCP tool that returns None""" sentry_init( integrations=[MCPIntegration()], @@ -1079,18 +1235,33 @@ def none_return_tool(action: str) -> None: pass with start_transaction(name="fastmcp tx"): - result = call_tool_through_mcp(mcp, "none_return_tool", {"action": "log"}) + result = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "none_return_tool", + "arguments": {"action": "log"}, + }, + ) - # Helper function normalizes to {"result": value} format - assert result["result"] is None + if ( + isinstance(mcp, StandaloneFastMCP) and FASTMCP_VERSION is not None + ) or isinstance(mcp, MCPFastMCP): + assert len(result.message.root.result["content"]) == 0 + else: + assert result.message.root.result["content"] == [ + {"type": "text", "text": "None"} + ] (tx,) = events assert tx["type"] == "transaction" -@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) @pytest.mark.asyncio -async def test_fastmcp_mixed_sync_async_tools(sentry_init, capture_events, FastMCP): +@pytest.mark.parametrize("FastMCP", fastmcp_implementations, ids=fastmcp_ids) +async def test_fastmcp_mixed_sync_async_tools( + sentry_init, capture_events, FastMCP, stdio +): """Test mixing sync and async tools in FastMCP""" sentry_init( integrations=[MCPIntegration()], @@ -1100,11 +1271,6 @@ async def test_fastmcp_mixed_sync_async_tools(sentry_init, capture_events, FastM mcp = FastMCP("Test Server") - # Set up mock request context - if request_ctx is not None: - mock_ctx = MockRequestContext(request_id="req-mixed", transport="stdio") - request_ctx.set(mock_ctx) - @mcp.tool() def sync_add(a: int, b: int) -> int: """Sync addition""" @@ -1117,13 +1283,27 @@ async def async_multiply(x: int, y: int) -> int: with start_transaction(name="fastmcp tx"): # Use async version for both since we're in an async context - result1 = await call_tool_through_mcp_async(mcp, "sync_add", {"a": 3, "b": 4}) - result2 = await call_tool_through_mcp_async( - mcp, "async_multiply", {"x": 5, "y": 6} + result1 = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "sync_add", + "arguments": {"a": 3, "b": 4}, + }, + request_id="req-mixed", + ) + result2 = await stdio( + mcp._mcp_server, + method="tools/call", + params={ + "name": "async_multiply", + "arguments": {"x": 5, "y": 6}, + }, + request_id="req-mixed", ) - assert result1["result"] == 7 - assert result2["result"] == 30 + assert result1.message.root.result["content"][0]["text"] == "7" + assert result2.message.root.result["content"][0]["text"] == "30" (tx,) = events assert tx["type"] == "transaction" diff --git a/tests/integrations/google_genai/test_google_genai.py b/tests/integrations/google_genai/test_google_genai.py index 37ba50420f..7448dd630a 100644 --- a/tests/integrations/google_genai/test_google_genai.py +++ b/tests/integrations/google_genai/test_google_genai.py @@ -452,13 +452,13 @@ def test_streaming_generate_content(sentry_init, capture_events, mock_genai_clie "usageMetadata": { "promptTokenCount": 10, "candidatesTokenCount": 2, - "totalTokenCount": 12, # Not set in intermediate chunks + "totalTokenCount": 12, }, "responseId": "response-id-stream-123", "modelVersion": "gemini-1.5-flash", } - # Chunk 2: Second part of text with more usage metadata + # Chunk 2: Second part of text with intermediate usage metadata chunk2_json = { "candidates": [ { @@ -545,25 +545,18 @@ def test_streaming_generate_content(sentry_init, capture_events, mock_genai_clie assert chat_span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == "STOP" assert invoke_span["data"][SPANDATA.GEN_AI_RESPONSE_FINISH_REASONS] == "STOP" - # Verify token counts - should reflect accumulated values - # Input tokens: max of all chunks = 10 - assert chat_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 30 - assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 30 + assert chat_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 + assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 - # Output tokens: candidates (2 + 3 + 7 = 12) + reasoning (3) = 15 - # Note: output_tokens includes both candidates and reasoning tokens - assert chat_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 15 - assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 15 + assert chat_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 + assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 10 - # Total tokens: from the last chunk - assert chat_span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 50 - assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 50 + assert chat_span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 25 + assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 25 - # Cached tokens: max of all chunks = 5 assert chat_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHED] == 5 assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS_CACHED] == 5 - # Reasoning tokens: sum of thoughts_token_count = 3 assert chat_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS_REASONING] == 3 assert invoke_span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS_REASONING] == 3 @@ -990,7 +983,6 @@ def test_google_genai_message_truncation( assert parsed_messages[0]["role"] == "user" assert small_content in parsed_messages[0]["content"] - assert invoke_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 2 assert ( event["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 2 ) diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index 58cc16cdd7..8a8d646113 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -1070,8 +1070,6 @@ def test_langchain_message_truncation(sentry_init, capture_events): assert isinstance(parsed_messages, list) assert len(parsed_messages) == 1 assert "small message 5" in str(parsed_messages[0]) - - assert llm_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 5 assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 diff --git a/tests/integrations/langgraph/test_langgraph.py b/tests/integrations/langgraph/test_langgraph.py index 9ccd84309f..2a385d8a78 100644 --- a/tests/integrations/langgraph/test_langgraph.py +++ b/tests/integrations/langgraph/test_langgraph.py @@ -1384,6 +1384,4 @@ def original_invoke(self, *args, **kwargs): assert isinstance(parsed_messages, list) assert len(parsed_messages) == 1 assert "small message 5" in str(parsed_messages[0]) - - assert invoke_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 5 assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 06772342ab..ef129c6cfd 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -754,8 +754,6 @@ def test_litellm_message_truncation(sentry_init, capture_events): assert isinstance(parsed_messages, list) assert len(parsed_messages) == 1 assert "small message 5" in str(parsed_messages[0]) - - assert chat_span["data"][SPANDATA.META_GEN_AI_ORIGINAL_INPUT_MESSAGES_LENGTH] == 5 assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 diff --git a/tests/integrations/mcp/test_mcp.py b/tests/integrations/mcp/test_mcp.py index 4415467cd7..37d07e8ce4 100644 --- a/tests/integrations/mcp/test_mcp.py +++ b/tests/integrations/mcp/test_mcp.py @@ -15,6 +15,9 @@ that the integration properly instruments MCP handlers with Sentry spans. """ +import anyio +import asyncio + import pytest import json from unittest import mock @@ -30,6 +33,8 @@ async def __call__(self, *args, **kwargs): from mcp.server.lowlevel import Server from mcp.server.lowlevel.server import request_ctx +from mcp.types import GetPromptResult, PromptMessage, TextContent +from mcp.server.lowlevel.helper_types import ReadResourceContents try: from mcp.server.lowlevel.server import request_ctx @@ -40,6 +45,12 @@ async def __call__(self, *args, **kwargs): from sentry_sdk.consts import SPANDATA, OP from sentry_sdk.integrations.mcp import MCPIntegration +from mcp.server.sse import SseServerTransport +from mcp.server.streamable_http_manager import StreamableHTTPSessionManager +from starlette.routing import Mount, Route +from starlette.applications import Starlette +from starlette.responses import Response + @pytest.fixture(autouse=True) def reset_request_ctx(): @@ -60,47 +71,6 @@ def reset_request_ctx(): pass -# Mock MCP types and structures -class MockURI: - """Mock URI object for resource testing""" - - def __init__(self, uri_string): - self.scheme = uri_string.split("://")[0] if "://" in uri_string else "" - self.path = uri_string.split("://")[1] if "://" in uri_string else uri_string - self._uri_string = uri_string - - def __str__(self): - return self._uri_string - - -class MockRequestContext: - """Mock MCP request context""" - - def __init__(self, request_id=None, session_id=None, transport="stdio"): - self.request_id = request_id - if transport in ("http", "sse"): - self.request = MockHTTPRequest(session_id, transport) - else: - self.request = None - - -class MockHTTPRequest: - """Mock HTTP request for SSE/StreamableHTTP transport""" - - def __init__(self, session_id=None, transport="http"): - self.headers = {} - self.query_params = {} - - if transport == "sse": - # SSE transport uses query parameter - if session_id: - self.query_params["session_id"] = session_id - else: - # StreamableHTTP transport uses header - if session_id: - self.headers["mcp-session-id"] = session_id - - class MockTextContent: """Mock TextContent object""" @@ -108,21 +78,6 @@ def __init__(self, text): self.text = text -class MockPromptMessage: - """Mock PromptMessage object""" - - def __init__(self, role, content_text): - self.role = role - self.content = MockTextContent(content_text) - - -class MockGetPromptResult: - """Mock GetPromptResult object""" - - def __init__(self, messages): - self.messages = messages - - def test_integration_patches_server(sentry_init): """Test that MCPIntegration patches the Server class""" # Get original methods before integration @@ -141,12 +96,13 @@ def test_integration_patches_server(sentry_init): assert Server.read_resource is not original_read_resource +@pytest.mark.asyncio @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (True, False), (False, True), (False, False)], ) -def test_tool_handler_sync( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_tool_handler_stdio( + sentry_init, capture_events, send_default_pii, include_prompts, stdio ): """Test that synchronous tool handlers create proper spans""" sentry_init( @@ -158,19 +114,25 @@ def test_tool_handler_sync( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-123", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() - def test_tool(tool_name, arguments): + async def test_tool(tool_name, arguments): return {"result": "success", "value": 42} with start_transaction(name="mcp tx"): - # Call the tool handler - result = test_tool("calculate", {"x": 10, "y": 5}) + result = await stdio( + server, + method="tools/call", + params={ + "name": "calculate", + "arguments": {"x": 10, "y": 5}, + }, + request_id="req-123", + ) - assert result == {"result": "success", "value": 42} + assert result.message.root.result["content"][0]["text"] == json.dumps( + {"result": "success", "value": 42}, + indent=2, + ) (tx,) = events assert tx["type"] == "transaction" @@ -208,8 +170,13 @@ def test_tool(tool_name, arguments): "send_default_pii, include_prompts", [(True, True), (True, False), (False, True), (False, False)], ) -async def test_tool_handler_async( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_tool_handler_streamable_http( + sentry_init, + capture_events, + send_default_pii, + include_prompts, + json_rpc, + select_transactions_with_mcp_spans, ): """Test that async tool handlers create proper spans""" sentry_init( @@ -221,26 +188,49 @@ async def test_tool_handler_async( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext( - request_id="req-456", session_id="session-789", transport="http" + session_manager = StreamableHTTPSessionManager( + app=server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), ) - request_ctx.set(mock_ctx) @server.call_tool() async def test_tool_async(tool_name, arguments): - return {"status": "completed"} - - with start_transaction(name="mcp tx"): - result = await test_tool_async("process", {"data": "test"}) + return [ + TextContent( + type="text", + text=json.dumps({"status": "completed"}), + ) + ] - assert result == {"status": "completed"} + session_id, result = json_rpc( + app, + method="tools/call", + params={ + "name": "process", + "arguments": { + "data": "test", + }, + }, + request_id="req-456", + ) + assert result.json()["result"]["content"][0]["text"] == json.dumps( + {"status": "completed"} + ) - (tx,) = events + transactions = select_transactions_with_mcp_spans(events, method_name="tools/call") + assert len(transactions) == 1 + tx = transactions[0] assert tx["type"] == "transaction" assert len(tx["spans"]) == 1 - span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER assert span["description"] == "tools/call process" assert span["origin"] == "auto.ai.mcp" @@ -250,19 +240,23 @@ async def test_tool_async(tool_name, arguments): assert span["data"][SPANDATA.MCP_METHOD_NAME] == "tools/call" assert span["data"][SPANDATA.MCP_TRANSPORT] == "http" assert span["data"][SPANDATA.MCP_REQUEST_ID] == "req-456" - assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-789" + assert span["data"][SPANDATA.MCP_SESSION_ID] == session_id assert span["data"]["mcp.request.argument.data"] == '"test"' # Check PII-sensitive data if send_default_pii and include_prompts: + # TODO: Investigate why tool result is double-serialized. assert span["data"][SPANDATA.MCP_TOOL_RESULT_CONTENT] == json.dumps( - {"status": "completed"} + json.dumps( + {"status": "completed"}, + ) ) else: assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"] -def test_tool_handler_with_error(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_tool_handler_with_error(sentry_init, capture_events, stdio): """Test that tool handler errors are captured properly""" sentry_init( integrations=[MCPIntegration()], @@ -272,17 +266,24 @@ def test_tool_handler_with_error(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-error", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def failing_tool(tool_name, arguments): raise ValueError("Tool execution failed") with start_transaction(name="mcp tx"): - with pytest.raises(ValueError): - failing_tool("bad_tool", {}) + result = await stdio( + server, + method="tools/call", + params={ + "name": "bad_tool", + "arguments": {}, + }, + request_id="req-error", + ) + + assert ( + result.message.root.result["content"][0]["text"] == "Tool execution failed" + ) # Should have error event and transaction assert len(events) == 2 @@ -304,12 +305,13 @@ def failing_tool(tool_name, arguments): assert span["tags"]["status"] == "internal_error" +@pytest.mark.asyncio @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (True, False), (False, True), (False, False)], ) -def test_prompt_handler_sync( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_prompt_handler_stdio( + sentry_init, capture_events, send_default_pii, include_prompts, stdio ): """Test that synchronous prompt handlers create proper spans""" sentry_init( @@ -321,19 +323,34 @@ def test_prompt_handler_sync( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-prompt", transport="stdio") - request_ctx.set(mock_ctx) - @server.get_prompt() - def test_prompt(name, arguments): - return MockGetPromptResult([MockPromptMessage("user", "Tell me about Python")]) + async def test_prompt(name, arguments): + return GetPromptResult( + description="A helpful test prompt", + messages=[ + PromptMessage( + role="user", + content=TextContent(type="text", text="Tell me about Python"), + ), + ], + ) with start_transaction(name="mcp tx"): - result = test_prompt("code_help", {"language": "python"}) + result = await stdio( + server, + method="prompts/get", + params={ + "name": "code_help", + "arguments": {"language": "python"}, + }, + request_id="req-prompt", + ) - assert result.messages[0].role == "user" - assert result.messages[0].content.text == "Tell me about Python" + assert result.message.root.result["messages"][0]["role"] == "user" + assert ( + result.message.root.result["messages"][0]["content"]["text"] + == "Tell me about Python" + ) (tx,) = events assert tx["type"] == "transaction" @@ -372,8 +389,13 @@ def test_prompt(name, arguments): "send_default_pii, include_prompts", [(True, True), (True, False), (False, True), (False, False)], ) -async def test_prompt_handler_async( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_prompt_handler_streamable_http( + sentry_init, + capture_events, + send_default_pii, + include_prompts, + json_rpc, + select_transactions_with_mcp_spans, ): """Test that async prompt handlers create proper spans""" sentry_init( @@ -385,42 +407,70 @@ async def test_prompt_handler_async( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext( - request_id="req-async-prompt", session_id="session-abc", transport="http" + session_manager = StreamableHTTPSessionManager( + app=server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), ) - request_ctx.set(mock_ctx) @server.get_prompt() async def test_prompt_async(name, arguments): - return MockGetPromptResult( - [ - MockPromptMessage("system", "You are a helpful assistant"), - MockPromptMessage("user", "What is MCP?"), - ] + return GetPromptResult( + description="A helpful test prompt", + messages=[ + PromptMessage( + role="user", + content=TextContent( + type="text", text="You are a helpful assistant" + ), + ), + PromptMessage( + role="user", content=TextContent(type="text", text="What is MCP?") + ), + ], ) - with start_transaction(name="mcp tx"): - result = await test_prompt_async("mcp_info", {}) - - assert len(result.messages) == 2 + _, result = json_rpc( + app, + method="prompts/get", + params={ + "name": "mcp_info", + "arguments": {}, + }, + request_id="req-async-prompt", + ) + assert len(result.json()["result"]["messages"]) == 2 - (tx,) = events + transactions = select_transactions_with_mcp_spans(events, method_name="prompts/get") + assert len(transactions) == 1 + tx = transactions[0] assert tx["type"] == "transaction" assert len(tx["spans"]) == 1 - span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER assert span["description"] == "prompts/get mcp_info" # For multi-message prompts, count is always captured assert span["data"][SPANDATA.MCP_PROMPT_RESULT_MESSAGE_COUNT] == 2 # Role/content are never captured for multi-message prompts (even with PII) - assert SPANDATA.MCP_PROMPT_RESULT_MESSAGE_ROLE not in span["data"] - assert SPANDATA.MCP_PROMPT_RESULT_MESSAGE_CONTENT not in span["data"] + assert ( + SPANDATA.MCP_PROMPT_RESULT_MESSAGE_ROLE not in tx["contexts"]["trace"]["data"] + ) + assert ( + SPANDATA.MCP_PROMPT_RESULT_MESSAGE_CONTENT + not in tx["contexts"]["trace"]["data"] + ) -def test_prompt_handler_with_error(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_prompt_handler_with_error(sentry_init, capture_events, stdio): """Test that prompt handler errors are captured""" sentry_init( integrations=[MCPIntegration()], @@ -430,17 +480,22 @@ def test_prompt_handler_with_error(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-error-prompt", transport="stdio") - request_ctx.set(mock_ctx) - @server.get_prompt() - def failing_prompt(name, arguments): + async def failing_prompt(name, arguments): raise RuntimeError("Prompt not found") with start_transaction(name="mcp tx"): - with pytest.raises(RuntimeError): - failing_prompt("missing_prompt", {}) + response = await stdio( + server, + method="prompts/get", + params={ + "name": "code_help", + "arguments": {"language": "python"}, + }, + request_id="req-error-prompt", + ) + + assert response.message.root.error.message == "Prompt not found" # Should have error event and transaction assert len(events) == 2 @@ -450,7 +505,8 @@ def failing_prompt(name, arguments): assert error_event["exception"]["values"][0]["type"] == "RuntimeError" -def test_resource_handler_sync(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_resource_handler_stdio(sentry_init, capture_events, stdio): """Test that synchronous resource handlers create proper spans""" sentry_init( integrations=[MCPIntegration()], @@ -460,19 +516,27 @@ def test_resource_handler_sync(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-resource", transport="stdio") - request_ctx.set(mock_ctx) - @server.read_resource() - def test_resource(uri): - return {"content": "file contents", "mime_type": "text/plain"} + async def test_resource(uri): + return [ + ReadResourceContents( + content=json.dumps({"content": "file contents"}), mime_type="text/plain" + ) + ] with start_transaction(name="mcp tx"): - uri = MockURI("file:///path/to/file.txt") - result = test_resource(uri) + result = await stdio( + server, + method="resources/read", + params={ + "uri": "file:///path/to/file.txt", + }, + request_id="req-resource", + ) - assert result["content"] == "file contents" + assert result.message.root.result["contents"][0]["text"] == json.dumps( + {"content": "file contents"}, + ) (tx,) = events assert tx["type"] == "transaction" @@ -494,7 +558,12 @@ def test_resource(uri): @pytest.mark.asyncio -async def test_resource_handler_async(sentry_init, capture_events): +async def test_resource_handler_streamble_http( + sentry_init, + capture_events, + json_rpc, + select_transactions_with_mcp_spans, +): """Test that async resource handlers create proper spans""" sentry_init( integrations=[MCPIntegration()], @@ -504,36 +573,58 @@ async def test_resource_handler_async(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext( - request_id="req-async-resource", session_id="session-res", transport="http" + session_manager = StreamableHTTPSessionManager( + app=server, + json_response=True, + ) + + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), ) - request_ctx.set(mock_ctx) @server.read_resource() async def test_resource_async(uri): - return {"data": "resource data"} + return [ + ReadResourceContents( + content=json.dumps({"data": "resource data"}), mime_type="text/plain" + ) + ] - with start_transaction(name="mcp tx"): - uri = MockURI("https://example.com/resource") - result = await test_resource_async(uri) + session_id, result = json_rpc( + app, + method="resources/read", + params={ + "uri": "https://example.com/resource", + }, + request_id="req-async-resource", + ) - assert result["data"] == "resource data" + assert result.json()["result"]["contents"][0]["text"] == json.dumps( + {"data": "resource data"} + ) - (tx,) = events + transactions = select_transactions_with_mcp_spans( + events, method_name="resources/read" + ) + assert len(transactions) == 1 + tx = transactions[0] assert tx["type"] == "transaction" assert len(tx["spans"]) == 1 - span = tx["spans"][0] + assert span["op"] == OP.MCP_SERVER assert span["description"] == "resources/read https://example.com/resource" assert span["data"][SPANDATA.MCP_RESOURCE_URI] == "https://example.com/resource" assert span["data"][SPANDATA.MCP_RESOURCE_PROTOCOL] == "https" - assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-res" + assert span["data"][SPANDATA.MCP_SESSION_ID] == session_id -def test_resource_handler_with_error(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_resource_handler_with_error(sentry_init, capture_events, stdio): """Test that resource handler errors are captured""" sentry_init( integrations=[MCPIntegration()], @@ -543,18 +634,19 @@ def test_resource_handler_with_error(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-error-resource", transport="stdio") - request_ctx.set(mock_ctx) - @server.read_resource() def failing_resource(uri): raise FileNotFoundError("Resource not found") with start_transaction(name="mcp tx"): - with pytest.raises(FileNotFoundError): - uri = MockURI("file:///missing.txt") - failing_resource(uri) + await stdio( + server, + method="resources/read", + params={ + "uri": "file:///missing.txt", + }, + request_id="req-error-resource", + ) # Should have error event and transaction assert len(events) == 2 @@ -564,12 +656,13 @@ def failing_resource(uri): assert error_event["exception"]["values"][0]["type"] == "FileNotFoundError" +@pytest.mark.asyncio @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (False, False)], ) -def test_tool_result_extraction_tuple( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_tool_result_extraction_tuple( + sentry_init, capture_events, send_default_pii, include_prompts, stdio ): """Test extraction of tool results from tuple format (UnstructuredContent, StructuredContent)""" sentry_init( @@ -581,10 +674,6 @@ def test_tool_result_extraction_tuple( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-tuple", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def test_tool_tuple(tool_name, arguments): # Return CombinationContent: (UnstructuredContent, StructuredContent) @@ -593,7 +682,15 @@ def test_tool_tuple(tool_name, arguments): return (unstructured, structured) with start_transaction(name="mcp tx"): - test_tool_tuple("combo_tool", {}) + await stdio( + server, + method="tools/call", + params={ + "name": "calculate", + "arguments": {}, + }, + request_id="req-tuple", + ) (tx,) = events span = tx["spans"][0] @@ -612,12 +709,13 @@ def test_tool_tuple(tool_name, arguments): assert SPANDATA.MCP_TOOL_RESULT_CONTENT_COUNT not in span["data"] +@pytest.mark.asyncio @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (False, False)], ) -def test_tool_result_extraction_unstructured( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_tool_result_extraction_unstructured( + sentry_init, capture_events, send_default_pii, include_prompts, stdio ): """Test extraction of tool results from UnstructuredContent (list of content blocks)""" sentry_init( @@ -629,10 +727,6 @@ def test_tool_result_extraction_unstructured( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-unstructured", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def test_tool_unstructured(tool_name, arguments): # Return UnstructuredContent as list of content blocks @@ -642,7 +736,15 @@ def test_tool_unstructured(tool_name, arguments): ] with start_transaction(name="mcp tx"): - test_tool_unstructured("text_tool", {}) + await stdio( + server, + method="tools/call", + params={ + "name": "text_tool", + "arguments": {}, + }, + request_id="req-unstructured", + ) (tx,) = events span = tx["spans"][0] @@ -656,44 +758,8 @@ def test_tool_unstructured(tool_name, arguments): assert SPANDATA.MCP_TOOL_RESULT_CONTENT not in span["data"] -def test_request_context_no_context(sentry_init, capture_events): - """Test handling when no request context is available""" - sentry_init( - integrations=[MCPIntegration()], - traces_sample_rate=1.0, - ) - events = capture_events() - - server = Server("test-server") - - # Clear request context (simulating no context available) - # This will cause a LookupError when trying to get context - request_ctx.set(None) - - @server.call_tool() - def test_tool_no_ctx(tool_name, arguments): - return {"result": "ok"} - - with start_transaction(name="mcp tx"): - # This should work even without request context - try: - test_tool_no_ctx("tool", {}) - except LookupError: - # If it raises LookupError, that's expected when context is truly missing - pass - - # Should still create span even if context is missing - (tx,) = events - span = tx["spans"][0] - - # Transport defaults to "pipe" when no context - assert span["data"][SPANDATA.MCP_TRANSPORT] == "stdio" - # Request ID and Session ID should not be present - assert SPANDATA.MCP_REQUEST_ID not in span["data"] - assert SPANDATA.MCP_SESSION_ID not in span["data"] - - -def test_span_origin(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_span_origin(sentry_init, capture_events, stdio): """Test that span origin is set correctly""" sentry_init( integrations=[MCPIntegration()], @@ -703,16 +769,20 @@ def test_span_origin(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-origin", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def test_tool(tool_name, arguments): return {"result": "test"} with start_transaction(name="mcp tx"): - test_tool("origin_test", {}) + await stdio( + server, + method="tools/call", + params={ + "name": "calculate", + "arguments": {"x": 10, "y": 5}, + }, + request_id="req-origin", + ) (tx,) = events @@ -720,7 +790,8 @@ def test_tool(tool_name, arguments): assert tx["spans"][0]["origin"] == "auto.ai.mcp" -def test_multiple_handlers(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_multiple_handlers(sentry_init, capture_events, stdio): """Test that multiple handler calls create multiple spans""" sentry_init( integrations=[MCPIntegration()], @@ -730,10 +801,6 @@ def test_multiple_handlers(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-multi", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def tool1(tool_name, arguments): return {"result": "tool1"} @@ -744,12 +811,45 @@ def tool2(tool_name, arguments): @server.get_prompt() def prompt1(name, arguments): - return MockGetPromptResult([MockPromptMessage("user", "Test prompt")]) + return GetPromptResult( + description="A test prompt", + messages=[ + PromptMessage( + role="user", content=TextContent(type="text", text="Test prompt") + ) + ], + ) with start_transaction(name="mcp tx"): - tool1("tool_a", {}) - tool2("tool_b", {}) - prompt1("prompt_a", {}) + await stdio( + server, + method="tools/call", + params={ + "name": "tool_a", + "arguments": {}, + }, + request_id="req-multi", + ) + + await stdio( + server, + method="tools/call", + params={ + "name": "tool_b", + "arguments": {}, + }, + request_id="req-multi", + ) + + await stdio( + server, + method="prompts/get", + params={ + "name": "prompt_a", + "arguments": {}, + }, + request_id="req-multi", + ) (tx,) = events assert tx["type"] == "transaction" @@ -765,12 +865,13 @@ def prompt1(name, arguments): assert "prompts/get prompt_a" in span_descriptions +@pytest.mark.asyncio @pytest.mark.parametrize( "send_default_pii, include_prompts", [(True, True), (False, False)], ) -def test_prompt_with_dict_result( - sentry_init, capture_events, send_default_pii, include_prompts +async def test_prompt_with_dict_result( + sentry_init, capture_events, send_default_pii, include_prompts, stdio ): """Test prompt handler with dict result instead of GetPromptResult object""" sentry_init( @@ -782,10 +883,6 @@ def test_prompt_with_dict_result( server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-dict-prompt", transport="stdio") - request_ctx.set(mock_ctx) - @server.get_prompt() def test_prompt_dict(name, arguments): # Return dict format instead of GetPromptResult object @@ -796,7 +893,15 @@ def test_prompt_dict(name, arguments): } with start_transaction(name="mcp tx"): - test_prompt_dict("dict_prompt", {}) + await stdio( + server, + method="prompts/get", + params={ + "name": "dict_prompt", + "arguments": {}, + }, + request_id="req-dict-prompt", + ) (tx,) = events span = tx["spans"][0] @@ -816,37 +921,8 @@ def test_prompt_dict(name, arguments): assert SPANDATA.MCP_PROMPT_RESULT_MESSAGE_CONTENT not in span["data"] -def test_resource_without_protocol(sentry_init, capture_events): - """Test resource handler with URI without protocol scheme""" - sentry_init( - integrations=[MCPIntegration()], - traces_sample_rate=1.0, - ) - events = capture_events() - - server = Server("test-server") - - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-no-proto", transport="stdio") - request_ctx.set(mock_ctx) - - @server.read_resource() - def test_resource(uri): - return {"data": "test"} - - with start_transaction(name="mcp tx"): - # URI without protocol - test_resource("simple-path") - - (tx,) = events - span = tx["spans"][0] - - assert span["data"][SPANDATA.MCP_RESOURCE_URI] == "simple-path" - # No protocol should be set - assert SPANDATA.MCP_RESOURCE_PROTOCOL not in span["data"] - - -def test_tool_with_complex_arguments(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_tool_with_complex_arguments(sentry_init, capture_events, stdio): """Test tool handler with complex nested arguments""" sentry_init( integrations=[MCPIntegration()], @@ -856,10 +932,6 @@ def test_tool_with_complex_arguments(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-complex", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() def test_tool_complex(tool_name, arguments): return {"processed": True} @@ -870,7 +942,15 @@ def test_tool_complex(tool_name, arguments): "string": "test", "number": 42, } - test_tool_complex("complex_tool", complex_args) + await stdio( + server, + method="tools/call", + params={ + "name": "complex_tool", + "arguments": complex_args, + }, + request_id="req-complex", + ) (tx,) = events span = tx["spans"][0] @@ -884,8 +964,8 @@ def test_tool_complex(tool_name, arguments): @pytest.mark.asyncio -async def test_async_handlers_mixed(sentry_init, capture_events): - """Test mixing sync and async handlers in the same transaction""" +async def test_sse_transport_detection(sentry_init, capture_events, json_rpc_sse): + """Test that SSE transport is correctly detected via query parameter""" sentry_init( integrations=[MCPIntegration()], traces_sample_rate=1.0, @@ -893,68 +973,75 @@ async def test_async_handlers_mixed(sentry_init, capture_events): events = capture_events() server = Server("test-server") + sse = SseServerTransport("/messages/") - # Set up mock request context - mock_ctx = MockRequestContext(request_id="req-mixed", transport="stdio") - request_ctx.set(mock_ctx) - - @server.call_tool() - def sync_tool(tool_name, arguments): - return {"type": "sync"} + sse_connection_closed = asyncio.Event() - @server.call_tool() - async def async_tool(tool_name, arguments): - return {"type": "async"} + async def handle_sse(request): + async with sse.connect_sse( + request.scope, request.receive, request._send + ) as streams: + async with anyio.create_task_group() as tg: - with start_transaction(name="mcp tx"): - sync_result = sync_tool("sync", {}) - async_result = await async_tool("async", {}) + async def run_server(): + await server.run( + streams[0], streams[1], server.create_initialization_options() + ) - assert sync_result["type"] == "sync" - assert async_result["type"] == "async" + tg.start_soon(run_server) - (tx,) = events - assert len(tx["spans"]) == 2 - - # Both should be instrumented correctly - assert all(span["op"] == OP.MCP_SERVER for span in tx["spans"]) - - -def test_sse_transport_detection(sentry_init, capture_events): - """Test that SSE transport is correctly detected via query parameter""" - sentry_init( - integrations=[MCPIntegration()], - traces_sample_rate=1.0, - ) - events = capture_events() - - server = Server("test-server") + sse_connection_closed.set() + return Response() - # Set up mock request context with SSE transport - mock_ctx = MockRequestContext( - request_id="req-sse", session_id="session-sse-123", transport="sse" + app = Starlette( + routes=[ + Route("/sse", endpoint=handle_sse, methods=["GET"]), + Mount("/messages/", app=sse.handle_post_message), + ], ) - request_ctx.set(mock_ctx) @server.call_tool() - def test_tool(tool_name, arguments): + async def test_tool(tool_name, arguments): return {"result": "success"} - with start_transaction(name="mcp tx"): - result = test_tool("sse_tool", {}) + keep_sse_alive = asyncio.Event() + app_task, session_id, result = await json_rpc_sse( + app, + method="tools/call", + params={ + "name": "sse_tool", + "arguments": {}, + }, + request_id="req-sse", + keep_sse_alive=keep_sse_alive, + ) - assert result == {"result": "success"} + await sse_connection_closed.wait() + await app_task - (tx,) = events + assert result["result"]["structuredContent"] == {"result": "success"} + + transactions = [ + event + for event in events + if event["type"] == "transaction" and event["transaction"] == "/sse" + ] + assert len(transactions) == 1 + tx = transactions[0] span = tx["spans"][0] # Check that SSE transport is detected assert span["data"][SPANDATA.MCP_TRANSPORT] == "sse" assert span["data"][SPANDATA.NETWORK_TRANSPORT] == "tcp" - assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-sse-123" + assert span["data"][SPANDATA.MCP_SESSION_ID] == session_id -def test_streamable_http_transport_detection(sentry_init, capture_events): +def test_streamable_http_transport_detection( + sentry_init, + capture_events, + json_rpc, + select_transactions_with_mcp_spans, +): """Test that StreamableHTTP transport is correctly detected via header""" sentry_init( integrations=[MCPIntegration()], @@ -964,31 +1051,55 @@ def test_streamable_http_transport_detection(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context with StreamableHTTP transport - mock_ctx = MockRequestContext( - request_id="req-http", session_id="session-http-456", transport="http" + session_manager = StreamableHTTPSessionManager( + app=server, + json_response=True, ) - request_ctx.set(mock_ctx) - @server.call_tool() - def test_tool(tool_name, arguments): - return {"result": "success"} + app = Starlette( + routes=[ + Mount("/mcp", app=session_manager.handle_request), + ], + lifespan=lambda app: session_manager.run(), + ) - with start_transaction(name="mcp tx"): - result = test_tool("http_tool", {}) + @server.call_tool() + async def test_tool(tool_name, arguments): + return [ + TextContent( + type="text", + text=json.dumps({"status": "success"}), + ) + ] - assert result == {"result": "success"} + session_id, result = json_rpc( + app, + method="tools/call", + params={ + "name": "http_tool", + "arguments": {}, + }, + request_id="req-http", + ) + assert result.json()["result"]["content"][0]["text"] == json.dumps( + {"status": "success"} + ) - (tx,) = events + transactions = select_transactions_with_mcp_spans(events, method_name="tools/call") + assert len(transactions) == 1 + tx = transactions[0] + assert tx["type"] == "transaction" + assert len(tx["spans"]) == 1 span = tx["spans"][0] # Check that HTTP transport is detected assert span["data"][SPANDATA.MCP_TRANSPORT] == "http" assert span["data"][SPANDATA.NETWORK_TRANSPORT] == "tcp" - assert span["data"][SPANDATA.MCP_SESSION_ID] == "session-http-456" + assert span["data"][SPANDATA.MCP_SESSION_ID] == session_id -def test_stdio_transport_detection(sentry_init, capture_events): +@pytest.mark.asyncio +async def test_stdio_transport_detection(sentry_init, capture_events, stdio): """Test that stdio transport is correctly detected when no HTTP request""" sentry_init( integrations=[MCPIntegration()], @@ -998,18 +1109,22 @@ def test_stdio_transport_detection(sentry_init, capture_events): server = Server("test-server") - # Set up mock request context with stdio transport (no HTTP request) - mock_ctx = MockRequestContext(request_id="req-stdio", transport="stdio") - request_ctx.set(mock_ctx) - @server.call_tool() - def test_tool(tool_name, arguments): + async def test_tool(tool_name, arguments): return {"result": "success"} with start_transaction(name="mcp tx"): - result = test_tool("stdio_tool", {}) + result = await stdio( + server, + method="tools/call", + params={ + "name": "stdio_tool", + "arguments": {}, + }, + request_id="req-stdio", + ) - assert result == {"result": "success"} + assert result.message.root.result["structuredContent"] == {"result": "success"} (tx,) = events span = tx["spans"][0] diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py index 3581a14bd7..094b659b2c 100644 --- a/tests/integrations/openai/test_openai.py +++ b/tests/integrations/openai/test_openai.py @@ -621,8 +621,8 @@ def test_streaming_chat_completion(sentry_init, capture_events, messages, reques assert span["data"]["gen_ai.usage.total_tokens"] == 9 else: assert span["data"]["gen_ai.usage.output_tokens"] == 2 - assert span["data"]["gen_ai.usage.input_tokens"] == 1 - assert span["data"]["gen_ai.usage.total_tokens"] == 3 + assert span["data"]["gen_ai.usage.input_tokens"] == 12 + assert span["data"]["gen_ai.usage.total_tokens"] == 14 except ImportError: pass # if tiktoken is not installed, we can't guarantee token usage will be calculated properly @@ -865,8 +865,8 @@ async def test_streaming_chat_completion_async( assert span["data"]["gen_ai.usage.total_tokens"] == 9 else: assert span["data"]["gen_ai.usage.output_tokens"] == 2 - assert span["data"]["gen_ai.usage.input_tokens"] == 1 - assert span["data"]["gen_ai.usage.total_tokens"] == 3 + assert span["data"]["gen_ai.usage.input_tokens"] == 12 + assert span["data"]["gen_ai.usage.total_tokens"] == 14 except ImportError: pass # if tiktoken is not installed, we can't guarantee token usage will be calculated properly @@ -1607,7 +1607,6 @@ def test_ai_client_span_responses_api( "gen_ai.usage.total_tokens": 30, "gen_ai.request.model": "gpt-4o", "gen_ai.response.text": "the model response", - "sentry.sdk_meta.gen_ai.input.messages.original_length": 1, "thread.id": mock.ANY, "thread.name": mock.ANY, } @@ -1911,7 +1910,6 @@ async def test_ai_client_span_responses_async_api( "gen_ai.usage.output_tokens.reasoning": 8, "gen_ai.usage.total_tokens": 30, "gen_ai.response.text": "the model response", - "sentry.sdk_meta.gen_ai.input.messages.original_length": 1, "thread.id": mock.ANY, "thread.name": mock.ANY, } @@ -2179,7 +2177,6 @@ async def test_ai_client_span_streaming_responses_async_api( "gen_ai.usage.total_tokens": 30, "gen_ai.request.model": "gpt-4o", "gen_ai.response.text": "the model response", - "sentry.sdk_meta.gen_ai.input.messages.original_length": 1, "thread.id": mock.ANY, "thread.name": mock.ANY, } diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index 4bf212b8f3..d88394ad0b 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -4,10 +4,12 @@ from unittest.mock import MagicMock, patch import os import json +import logging import sentry_sdk from sentry_sdk import start_span from sentry_sdk.consts import SPANDATA +from sentry_sdk.integrations.logging import LoggingIntegration from sentry_sdk.integrations.openai_agents import OpenAIAgentsIntegration from sentry_sdk.integrations.openai_agents.utils import _set_input_data, safe_serialize from sentry_sdk.utils import parse_version @@ -35,7 +37,13 @@ from agents.exceptions import MaxTurnsExceeded, ModelBehaviorError from agents.version import __version__ as OPENAI_AGENTS_VERSION -from openai.types.responses import Response, ResponseUsage +from openai.types.responses import ( + ResponseCreatedEvent, + ResponseTextDeltaEvent, + ResponseCompletedEvent, + Response, + ResponseUsage, +) from openai.types.responses.response_usage import ( InputTokensDetails, OutputTokensDetails, @@ -80,6 +88,140 @@ ) +async def EXAMPLE_STREAMED_RESPONSE(*args, **kwargs): + yield ResponseCreatedEvent( + response=Response( + id="chat-id", + output=[], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + ), + type="response.created", + sequence_number=0, + ) + + yield ResponseCompletedEvent( + response=Response( + id="chat-id", + output=[ + ResponseOutputMessage( + id="message-id", + content=[ + ResponseOutputText( + annotations=[], + text="the model response", + type="output_text", + ), + ], + role="assistant", + status="completed", + type="message", + ), + ], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + usage=ResponseUsage( + input_tokens=20, + input_tokens_details=InputTokensDetails( + cached_tokens=5, + ), + output_tokens=10, + output_tokens_details=OutputTokensDetails( + reasoning_tokens=8, + ), + total_tokens=30, + ), + ), + type="response.completed", + sequence_number=1, + ) + + +async def EXAMPLE_STREAMED_RESPONSE_WITH_DELTA(*args, **kwargs): + yield ResponseCreatedEvent( + response=Response( + id="chat-id", + output=[], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + ), + type="response.created", + sequence_number=0, + ) + + yield ResponseTextDeltaEvent( + type="response.output_text.delta", + item_id="message-id", + output_index=0, + content_index=0, + delta="Hello", + logprobs=[], + sequence_number=1, + ) + + yield ResponseTextDeltaEvent( + type="response.output_text.delta", + item_id="message-id", + output_index=0, + content_index=0, + delta=" world!", + logprobs=[], + sequence_number=2, + ) + + yield ResponseCompletedEvent( + response=Response( + id="chat-id", + output=[ + ResponseOutputMessage( + id="message-id", + content=[ + ResponseOutputText( + annotations=[], + text="Hello world!", + type="output_text", + ), + ], + role="assistant", + status="completed", + type="message", + ), + ], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + usage=ResponseUsage( + input_tokens=20, + input_tokens_details=InputTokensDetails( + cached_tokens=5, + ), + output_tokens=10, + output_tokens_details=OutputTokensDetails( + reasoning_tokens=8, + ), + total_tokens=30, + ), + ), + type="response.completed", + sequence_number=3, + ) + + @pytest.fixture def mock_usage(): return Usage( @@ -1056,6 +1198,12 @@ def simple_test_tool(message: str) -> str: {"tool_input_guardrails": None, "tool_output_guardrails": None} ) + if parse_version(OPENAI_AGENTS_VERSION) >= ( + 0, + 8, + ): + available_tools[0]["needs_approval"] = False + available_tools = safe_serialize(available_tools) assert transaction["transaction"] == "test_agent workflow" @@ -1172,6 +1320,90 @@ def simple_test_tool(message: str) -> str: assert ai_client_span2["data"]["gen_ai.usage.total_tokens"] == 25 +@pytest.mark.asyncio +async def test_hosted_mcp_tool_propagation_header_streamed(sentry_init, test_agent): + """ + Test responses API is given trace propagation headers with HostedMCPTool. + """ + + hosted_tool = HostedMCPTool( + tool_config={ + "type": "mcp", + "server_label": "test_server", + "server_url": "http://example.com/", + "headers": { + "baggage": "custom=data", + }, + }, + ) + + client = AsyncOpenAI(api_key="z") + client.responses._post = AsyncMock(return_value=EXAMPLE_RESPONSE) + + model = OpenAIResponsesModel(model="gpt-4", openai_client=client) + + agent_with_tool = test_agent.clone( + tools=[hosted_tool], + model=model, + ) + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + release="d08ebdb9309e1b004c6f52202de58a09c2268e42", + ) + + with patch.object( + model._client.responses, + "create", + side_effect=EXAMPLE_STREAMED_RESPONSE, + ) as create, mock.patch( + "sentry_sdk.tracing_utils.Random.randrange", return_value=500000 + ): + with sentry_sdk.start_transaction( + name="/interactions/other-dogs/new-dog", + op="greeting.sniff", + trace_id="01234567890123456789012345678901", + ) as transaction: + result = agents.Runner.run_streamed( + agent_with_tool, + "Please use the simple test tool", + run_config=test_run_config, + ) + + async for event in result.stream_events(): + pass + + ai_client_span = transaction._span_recorder.spans[-1] + + args, kwargs = create.call_args + + assert "tools" in kwargs + assert len(kwargs["tools"]) == 1 + hosted_mcp_tool = kwargs["tools"][0] + + assert hosted_mcp_tool["headers"][ + "sentry-trace" + ] == "{trace_id}-{parent_span_id}-{sampled}".format( + trace_id=transaction.trace_id, + parent_span_id=ai_client_span.span_id, + sampled=1, + ) + + expected_outgoing_baggage = ( + "custom=data," + "sentry-trace_id=01234567890123456789012345678901," + "sentry-sample_rand=0.500000," + "sentry-environment=production," + "sentry-release=d08ebdb9309e1b004c6f52202de58a09c2268e42," + "sentry-transaction=/interactions/other-dogs/new-dog," + "sentry-sample_rate=1.0," + "sentry-sampled=true" + ) + + assert hosted_mcp_tool["headers"]["baggage"] == expected_outgoing_baggage + + @pytest.mark.asyncio async def test_hosted_mcp_tool_propagation_headers(sentry_init, test_agent): """ @@ -1337,7 +1569,10 @@ async def test_error_handling(sentry_init, capture_events, test_agent): mock_get_response.side_effect = Exception("Model Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, ) @@ -1385,7 +1620,10 @@ async def test_error_captures_input_data(sentry_init, capture_events, test_agent mock_get_response.side_effect = Exception("API Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, send_default_pii=True, ) @@ -1430,7 +1668,10 @@ async def test_span_status_error(sentry_init, capture_events, test_agent): mock_get_response.side_effect = ValueError("Model Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, ) @@ -2545,27 +2786,6 @@ def test_openai_agents_message_truncation(sentry_init, capture_events): assert "small message 5" in str(parsed_messages[0]) -def test_streaming_patches_applied(sentry_init): - """ - Test that the streaming patches are applied correctly. - """ - sentry_init( - integrations=[OpenAIAgentsIntegration()], - traces_sample_rate=1.0, - ) - - # Verify that run_streamed is patched (will have __wrapped__ attribute if patched) - import agents - - # Check that the method exists and has been modified - assert hasattr(agents.run.DEFAULT_AGENT_RUNNER, "run_streamed") - assert hasattr(agents.run.AgentRunner, "_run_single_turn_streamed") - - # Verify the patches were applied by checking for our wrapper - run_streamed_func = agents.run.DEFAULT_AGENT_RUNNER.run_streamed - assert run_streamed_func is not None - - @pytest.mark.asyncio async def test_streaming_span_update_captures_response_data( sentry_init, test_agent, mock_usage @@ -2630,8 +2850,13 @@ async def test_streaming_ttft_on_chat_span(sentry_init, test_agent): Events WITHOUT delta (like ResponseCompletedEvent, ResponseCreatedEvent, etc.) should NOT trigger TTFT. """ - from sentry_sdk.integrations.openai_agents.patches.models import ( - _create_get_model_wrapper, + client = AsyncOpenAI(api_key="z") + client.responses._post = AsyncMock(return_value=EXAMPLE_RESPONSE) + + model = OpenAIResponsesModel(model="gpt-4", openai_client=client) + + agent_with_tool = test_agent.clone( + model=model, ) sentry_init( @@ -2639,74 +2864,220 @@ async def test_streaming_ttft_on_chat_span(sentry_init, test_agent): traces_sample_rate=1.0, ) - # Create a mock model with stream_response and get_response - class MockModel: - model = "gpt-4" - - async def get_response(self, *args, **kwargs): - # Not used in this test, but required by the wrapper - pass - - async def stream_response(self, *args, **kwargs): - # First event: ResponseCreatedEvent (no delta - should NOT trigger TTFT) - created_event = MagicMock(spec=["type", "sequence_number"]) - created_event.type = "response.created" - yield created_event - - # Simulate server-side processing delay before first token - await asyncio.sleep(0.05) # 50ms delay - - # Second event: ResponseTextDeltaEvent (HAS delta - triggers TTFT) - text_delta_event = MagicMock(spec=["delta", "type", "content_index"]) - text_delta_event.delta = "Hello" - text_delta_event.type = "response.output_text.delta" - yield text_delta_event - - # Third event: more text content (also has delta, but TTFT already recorded) - text_delta_event2 = MagicMock(spec=["delta", "type", "content_index"]) - text_delta_event2.delta = " world!" - text_delta_event2.type = "response.output_text.delta" - yield text_delta_event2 - - # Final event: ResponseCompletedEvent (has response, no delta) - completed_event = MagicMock(spec=["response", "type", "sequence_number"]) - completed_event.response = MagicMock() - completed_event.response.model = "gpt-4" - completed_event.response.usage = Usage( - requests=1, - input_tokens=10, - output_tokens=5, - total_tokens=15, - ) - completed_event.response.output = [] - yield completed_event - - # Create a mock original _get_model that returns our mock model - def mock_get_model(agent, run_config): - return MockModel() - - # Wrap it with our integration wrapper - wrapped_get_model = _create_get_model_wrapper(mock_get_model) - - with sentry_sdk.start_transaction(name="test_ttft", sampled=True) as transaction: - # Get the wrapped model (this applies the stream_response wrapper) - wrapped_model = wrapped_get_model(None, test_agent, MagicMock()) - - # Call the wrapped stream_response and consume all events - async for _event in wrapped_model.stream_response(): - pass - - # Verify TTFT is recorded on the chat span (must be inside transaction context) - chat_spans = [ - s for s in transaction._span_recorder.spans if s.op == "gen_ai.chat" - ] - assert len(chat_spans) >= 1 - chat_span = chat_spans[0] + with patch.object( + model._client.responses, + "create", + side_effect=EXAMPLE_STREAMED_RESPONSE_WITH_DELTA, + ) as _: + with sentry_sdk.start_transaction( + name="test_ttft", sampled=True + ) as transaction: + result = agents.Runner.run_streamed( + agent_with_tool, + "Please use the simple test tool", + run_config=test_run_config, + ) + + async for event in result.stream_events(): + pass + + # Verify TTFT is recorded on the chat span (must be inside transaction context) + chat_spans = [ + s for s in transaction._span_recorder.spans if s.op == "gen_ai.chat" + ] + assert len(chat_spans) >= 1 + chat_span = chat_spans[0] + + assert SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN in chat_span._data + assert chat_span._data.get(SPANDATA.GEN_AI_RESPONSE_STREAMING) is True + + +@pytest.mark.skipif( + parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0), + reason="conversation_id support requires openai-agents >= 0.4.0", +) +@pytest.mark.asyncio +async def test_conversation_id_on_all_spans( + sentry_init, capture_events, test_agent, mock_model_response +): + """ + Test that gen_ai.conversation.id is set on all AI-related spans when passed to Runner.run(). + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + mock_get_response.return_value = mock_model_response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + result = await agents.Runner.run( + test_agent, + "Test input", + run_config=test_run_config, + conversation_id="conv_test_123", + ) - assert SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN in chat_span._data - ttft_value = chat_span._data[SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN] - # TTFT should be at least 40ms (our simulated delay minus some variance) but reasonable - assert 0.04 < ttft_value < 1.0, f"TTFT {ttft_value} should be around 50ms" + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span, ai_client_span = spans + + # Verify workflow span (transaction) has conversation_id + assert ( + transaction["contexts"]["trace"]["data"]["gen_ai.conversation.id"] + == "conv_test_123" + ) + + # Verify invoke_agent span has conversation_id + assert invoke_agent_span["data"]["gen_ai.conversation.id"] == "conv_test_123" + + # Verify ai_client span has conversation_id + assert ai_client_span["data"]["gen_ai.conversation.id"] == "conv_test_123" + + +@pytest.mark.skipif( + parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0), + reason="conversation_id support requires openai-agents >= 0.4.0", +) +@pytest.mark.asyncio +async def test_conversation_id_on_tool_span(sentry_init, capture_events, test_agent): + """ + Test that gen_ai.conversation.id is set on tool execution spans when passed to Runner.run(). + """ + + @agents.function_tool + def simple_tool(message: str) -> str: + """A simple tool""" + return f"Result: {message}" + + agent_with_tool = test_agent.clone(tools=[simple_tool]) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + tool_call = ResponseFunctionToolCall( + id="call_123", + call_id="call_123", + name="simple_tool", + type="function_call", + arguments='{"message": "hello"}', + ) + + tool_response = ModelResponse( + output=[tool_call], + usage=Usage( + requests=1, input_tokens=10, output_tokens=5, total_tokens=15 + ), + response_id="resp_tool_456", + ) - # Verify streaming flag is set - assert chat_span._data.get(SPANDATA.GEN_AI_RESPONSE_STREAMING) is True + final_response = ModelResponse( + output=[ + ResponseOutputMessage( + id="msg_final", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Done", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ], + usage=Usage( + requests=1, input_tokens=15, output_tokens=10, total_tokens=25 + ), + response_id="resp_final_789", + ) + + mock_get_response.side_effect = [tool_response, final_response] + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + await agents.Runner.run( + agent_with_tool, + "Use the tool", + run_config=test_run_config, + conversation_id="conv_tool_test_456", + ) + + (transaction,) = events + spans = transaction["spans"] + + # Find the tool span + tool_span = None + for span in spans: + if span.get("description", "").startswith("execute_tool"): + tool_span = span + break + + assert tool_span is not None + # Tool span should have the conversation_id passed to Runner.run() + assert tool_span["data"]["gen_ai.conversation.id"] == "conv_tool_test_456" + + # Workflow span (transaction) should have the same conversation_id + assert ( + transaction["contexts"]["trace"]["data"]["gen_ai.conversation.id"] + == "conv_tool_test_456" + ) + + +@pytest.mark.skipif( + parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0), + reason="conversation_id support requires openai-agents >= 0.4.0", +) +@pytest.mark.asyncio +async def test_no_conversation_id_when_not_provided( + sentry_init, capture_events, test_agent, mock_model_response +): + """ + Test that gen_ai.conversation.id is not set when not passed to Runner.run(). + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + mock_get_response.return_value = mock_model_response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + # Don't pass conversation_id + result = await agents.Runner.run( + test_agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span, ai_client_span = spans + + # Verify conversation_id is NOT set on any spans + assert "gen_ai.conversation.id" not in transaction["contexts"]["trace"].get( + "data", {} + ) + assert "gen_ai.conversation.id" not in invoke_agent_span.get("data", {}) + assert "gen_ai.conversation.id" not in ai_client_span.get("data", {}) diff --git a/tests/test_ai_integration_deactivation.py b/tests/test_ai_integration_deactivation.py index dc8aef6be8..b02b64c6ee 100644 --- a/tests/test_ai_integration_deactivation.py +++ b/tests/test_ai_integration_deactivation.py @@ -57,6 +57,7 @@ def test_integration_deactivates_map_exists(): assert "langchain" in _INTEGRATION_DEACTIVATES assert "openai" in _INTEGRATION_DEACTIVATES["langchain"] assert "anthropic" in _INTEGRATION_DEACTIVATES["langchain"] + assert "google_genai" in _INTEGRATION_DEACTIVATES["langchain"] assert "openai_agents" in _INTEGRATION_DEACTIVATES assert "openai" in _INTEGRATION_DEACTIVATES["openai_agents"] assert "pydantic_ai" in _INTEGRATION_DEACTIVATES diff --git a/tests/test_api.py b/tests/test_api.py index acc33cdf4c..bd6b245841 100644 --- a/tests/test_api.py +++ b/tests/test_api.py @@ -22,6 +22,7 @@ ) from sentry_sdk.client import Client, NonRecordingClient +from tests.conftest import TestTransportWithOptions def test_get_current_span(): @@ -96,6 +97,21 @@ def test_baggage_with_tracing_enabled(sentry_init): assert re.match(expected_baggage_re, get_baggage()) +def test_baggage_with_dsn(sentry_init): + sentry_init( + dsn="http://97333d956c9e40989a0139756c121c34@sentry-x.sentry-y.s.c.local/976543210", + traces_sample_rate=1.0, + release="2.0.0", + environment="dev", + transport=TestTransportWithOptions, + ) + with start_transaction() as transaction: + expected_baggage_re = r"^sentry-trace_id={},sentry-sample_rand=0\.\d{{6}},sentry-environment=dev,sentry-release=2\.0\.0,sentry-public_key=97333d956c9e40989a0139756c121c34,sentry-sample_rate=1\.0,sentry-sampled={}$".format( + transaction.trace_id, "true" if transaction.sampled else "false" + ) + assert re.match(expected_baggage_re, get_baggage()) + + def test_continue_trace(sentry_init): sentry_init() diff --git a/tests/test_client.py b/tests/test_client.py index 043c7c6ae5..96ebcf1790 100644 --- a/tests/test_client.py +++ b/tests/test_client.py @@ -1295,7 +1295,9 @@ def raise_exception(self) -> None: ), # If sampler returns invalid value, we should still send the event IssuesSamplerTestConfig( - sampler_function=lambda *_: "This is an invalid return value for the sampler", + sampler_function=lambda *_: ( + "This is an invalid return value for the sampler" + ), expected_events=1, ), ), diff --git a/tests/test_logs.py b/tests/test_logs.py index 386e22658e..d9c8a79f8c 100644 --- a/tests/test_logs.py +++ b/tests/test_logs.py @@ -692,11 +692,11 @@ def test_log_array_attributes(sentry_init, capture_envelopes): assert serialized_attributes["string_list"] == { "value": ["value1", "value2"], - "type": "string[]", + "type": "array", } assert serialized_attributes["int_tuple"] == { "value": [3, 2, 1, 4], - "type": "integer[]", + "type": "array", } assert serialized_attributes["inhomogeneous_tuple"] == { "value": "(3, 2.0, 1, 4)", @@ -705,11 +705,11 @@ def test_log_array_attributes(sentry_init, capture_envelopes): assert serialized_attributes["float_list"] == { "value": [3.0, 3.5, 4.2], - "type": "double[]", + "type": "array", } assert serialized_attributes["bool_tuple"] == { "value": [False, False, True], - "type": "boolean[]", + "type": "array", } assert serialized_attributes["inhomogeneous_list"] == { "value": "[3.2, True, None]", diff --git a/tests/test_metrics.py b/tests/test_metrics.py index 185c1c594d..ada50d645d 100644 --- a/tests/test_metrics.py +++ b/tests/test_metrics.py @@ -425,11 +425,11 @@ def test_log_array_attributes(sentry_init, capture_envelopes): assert serialized_attributes["string_list.attribute"] == { "value": ["value1", "value2"], - "type": "string[]", + "type": "array", } assert serialized_attributes["int_tuple.attribute"] == { "value": [3, 2, 1, 4], - "type": "integer[]", + "type": "array", } assert serialized_attributes["inhomogeneous_tuple.attribute"] == { "value": "(3, 2.0, 1, 4)", @@ -438,11 +438,11 @@ def test_log_array_attributes(sentry_init, capture_envelopes): assert serialized_attributes["float_list.attribute"] == { "value": [3.0, 3.5, 4.2], - "type": "double[]", + "type": "array", } assert serialized_attributes["bool_tuple.attribute"] == { "value": [False, False, True], - "type": "boolean[]", + "type": "array", } assert serialized_attributes["inhomogeneous_list.attribute"] == { "value": "[3.2, True, None]", diff --git a/tox.ini b/tox.ini index 2116c41871..ce90c9c91b 100644 --- a/tox.ini +++ b/tox.ini @@ -57,80 +57,81 @@ envlist = # ~~~ MCP ~~~ {py3.10,py3.12,py3.13}-mcp-v1.15.0 - {py3.10,py3.12,py3.13}-mcp-v1.18.0 - {py3.10,py3.12,py3.13}-mcp-v1.21.2 - {py3.10,py3.12,py3.13}-mcp-v1.25.0 + {py3.10,py3.12,py3.13}-mcp-v1.19.0 + {py3.10,py3.12,py3.13}-mcp-v1.23.3 + {py3.10,py3.12,py3.13}-mcp-v1.26.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.14.3 + {py3.10,py3.12,py3.13}-fastmcp-v2.14.5 + {py3.10,py3.12,py3.13}-fastmcp-v3.0.0rc1 # ~~~ Agents ~~~ {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 - {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 - {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 - {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.8 + {py3.10,py3.12,py3.13}-openai_agents-v0.3.3 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.9 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.8.4 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.15.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.30.1 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.44.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.19.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.38.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.58.0 # ~~~ AI Workflow ~~~ {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.2.6 + {py3.10,py3.13,py3.14}-langchain-base-v1.2.10 {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.6 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.10 {py3.9,py3.13,py3.14}-langgraph-v0.6.11 - {py3.10,py3.12,py3.13}-langgraph-v1.0.6 + {py3.10,py3.12,py3.13}-langgraph-v1.0.8 # ~~~ AI ~~~ {py3.8,py3.11,py3.12}-anthropic-v0.16.0 - {py3.8,py3.11,py3.12}-anthropic-v0.36.2 - {py3.8,py3.11,py3.12}-anthropic-v0.56.0 - {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.76.0 + {py3.8,py3.11,py3.12}-anthropic-v0.37.1 + {py3.8,py3.12,py3.13}-anthropic-v0.58.2 + {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.79.0 {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 {py3.9,py3.11,py3.12}-cohere-v5.15.0 - {py3.9,py3.11,py3.12}-cohere-v5.20.1 + {py3.9,py3.13,py3.14}-cohere-v5.20.5 {py3.9,py3.12,py3.13}-google_genai-v1.29.0 - {py3.9,py3.12,py3.13}-google_genai-v1.39.1 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.49.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.59.0 + {py3.9,py3.12,py3.13}-google_genai-v1.40.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.63.0 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 - {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.3.2 + {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.2 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.4.1 {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 {py3.9,py3.12,py3.13}-litellm-v1.79.3 - {py3.9,py3.12,py3.13}-litellm-v1.81.0 + {py3.9,py3.12,py3.13}-litellm-v1.81.11 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.15.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.20.0 {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1 {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.15.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.20.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.30 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.48 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -153,33 +154,35 @@ envlist = {py3.7,py3.10,py3.11}-redis-v4.6.0 {py3.8,py3.11,py3.12}-redis-v5.3.1 {py3.9,py3.12,py3.13}-redis-v6.4.0 - {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.0 + {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.1 {py3.6}-redis_py_cluster_legacy-v1.3.6 {py3.6,py3.7,py3.8}-redis_py_cluster_legacy-v2.1.3 {py3.6,py3.8,py3.9}-sqlalchemy-v1.2.19 {py3.6,py3.11,py3.12}-sqlalchemy-v1.4.54 - {py3.7,py3.12,py3.13}-sqlalchemy-v2.0.45 + {py3.7,py3.12,py3.13}-sqlalchemy-v2.0.46 + {py3.10,py3.13,py3.14,py3.14t}-sqlalchemy-v2.1.0b1 # ~~~ Flags ~~~ {py3.8,py3.12,py3.13}-launchdarkly-v9.8.1 - {py3.9,py3.13,py3.14,py3.14t}-launchdarkly-v9.14.1 + {py3.10,py3.13,py3.14,py3.14t}-launchdarkly-v9.15.0 {py3.8,py3.13,py3.14,py3.14t}-openfeature-v0.7.5 {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.4 {py3.7,py3.13,py3.14}-statsig-v0.55.3 - {py3.7,py3.13,py3.14}-statsig-v0.67.0 + {py3.7,py3.13,py3.14}-statsig-v0.69.0 {py3.8,py3.12,py3.13}-unleash-v6.0.1 - {py3.8,py3.12,py3.13}-unleash-v6.4.1 + {py3.8,py3.12,py3.13}-unleash-v6.5.2 # ~~~ GraphQL ~~~ {py3.8,py3.10,py3.11}-ariadne-v0.20.1 - {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.27.0 + {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.28.0 + {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.28.1rc1 {py3.6,py3.9,py3.10}-gql-v3.4.1 {py3.9,py3.12,py3.13}-gql-v4.0.0 @@ -189,15 +192,14 @@ envlist = {py3.8,py3.12,py3.13}-graphene-v3.4.3 {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.289.0 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.291.3 # ~~~ Network ~~~ {py3.7,py3.8}-grpc-v1.32.0 {py3.7,py3.9,py3.10}-grpc-v1.47.5 {py3.7,py3.11,py3.12}-grpc-v1.62.3 - {py3.9,py3.13,py3.14}-grpc-v1.76.0 - {py3.9,py3.13,py3.14}-grpc-v1.78.0rc2 + {py3.9,py3.13,py3.14}-grpc-v1.78.0 {py3.6,py3.8,py3.9}-httpx-v0.16.1 {py3.6,py3.9,py3.10}-httpx-v0.20.0 @@ -210,11 +212,10 @@ envlist = # ~~~ Tasks ~~~ {py3.7,py3.9,py3.10}-arq-v0.23 - {py3.8,py3.11,py3.12}-arq-v0.26.3 + {py3.9,py3.12,py3.13}-arq-v0.27.0 {py3.7}-beam-v2.14.0 - {py3.10,py3.12,py3.13}-beam-v2.70.0 - {py3.10,py3.12,py3.13}-beam-v2.71.0rc3 + {py3.10,py3.12,py3.13}-beam-v2.71.0 {py3.6,py3.7,py3.8}-celery-v4.4.7 {py3.9,py3.12,py3.13}-celery-v5.6.2 @@ -242,9 +243,9 @@ envlist = {py3.6,py3.7}-django-v1.11.29 {py3.6,py3.8,py3.9}-django-v2.2.28 {py3.6,py3.9,py3.10}-django-v3.2.25 - {py3.8,py3.11,py3.12}-django-v4.2.27 - {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.10 - {py3.12,py3.13,py3.14,py3.14t}-django-v6.0.1 + {py3.8,py3.11,py3.12}-django-v4.2.28 + {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.11 + {py3.12,py3.13,py3.14,py3.14t}-django-v6.0.2 {py3.6,py3.7,py3.8}-flask-v1.1.4 {py3.8,py3.13,py3.14,py3.14t}-flask-v2.3.3 @@ -256,9 +257,9 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-starlette-v0.52.1 {py3.6,py3.9,py3.10}-fastapi-v0.79.1 - {py3.7,py3.10,py3.11}-fastapi-v0.95.2 - {py3.8,py3.11,py3.12}-fastapi-v0.111.1 - {py3.9,py3.13,py3.14,py3.14t}-fastapi-v0.128.0 + {py3.7,py3.10,py3.11}-fastapi-v0.96.1 + {py3.8,py3.11,py3.12}-fastapi-v0.113.0 + {py3.10,py3.13,py3.14,py3.14t}-fastapi-v0.129.0 # ~~~ Web 2 ~~~ @@ -276,9 +277,9 @@ envlist = {py3.9,py3.11,py3.12}-falcon-v4.2.0 {py3.8,py3.10,py3.11}-litestar-v2.0.1 - {py3.8,py3.11,py3.12}-litestar-v2.6.4 - {py3.8,py3.11,py3.12}-litestar-v2.12.1 - {py3.8,py3.12,py3.13}-litestar-v2.19.0 + {py3.8,py3.11,py3.12}-litestar-v2.7.2 + {py3.8,py3.12,py3.13}-litestar-v2.14.0 + {py3.8,py3.12,py3.13}-litestar-v2.20.0 {py3.6}-pyramid-v1.8.6 {py3.6,py3.8,py3.9}-pyramid-v1.10.8 @@ -309,10 +310,10 @@ envlist = {py3.6}-trytond-v4.8.18 {py3.6,py3.7,py3.8}-trytond-v5.8.16 {py3.8,py3.10,py3.11}-trytond-v6.8.17 - {py3.9,py3.12,py3.13}-trytond-v7.8.3 + {py3.9,py3.12,py3.13}-trytond-v7.8.4 {py3.7,py3.12,py3.13}-typer-v0.15.4 - {py3.9,py3.13,py3.14,py3.14t}-typer-v0.21.1 + {py3.9,py3.13,py3.14,py3.14t}-typer-v0.23.1 @@ -362,7 +363,6 @@ deps = # AWS Lambda aws_lambda: aws-cdk-lib - aws_lambda: aws-sam-cli aws_lambda: boto3 aws_lambda: fastapi aws_lambda: requests @@ -382,99 +382,100 @@ deps = # ~~~ MCP ~~~ mcp-v1.15.0: mcp==1.15.0 - mcp-v1.18.0: mcp==1.18.0 - mcp-v1.21.2: mcp==1.21.2 - mcp-v1.25.0: mcp==1.25.0 + mcp-v1.19.0: mcp==1.19.0 + mcp-v1.23.3: mcp==1.23.3 + mcp-v1.26.0: mcp==1.26.0 mcp: pytest-asyncio fastmcp-v0.1.0: fastmcp==0.1.0 fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.14.3: fastmcp==2.14.3 + fastmcp-v2.14.5: fastmcp==2.14.5 + fastmcp-v3.0.0rc1: fastmcp==3.0.0rc1 fastmcp: pytest-asyncio # ~~~ Agents ~~~ openai_agents-v0.0.19: openai-agents==0.0.19 - openai_agents-v0.2.11: openai-agents==0.2.11 - openai_agents-v0.4.2: openai-agents==0.4.2 - openai_agents-v0.6.8: openai-agents==0.6.8 + openai_agents-v0.3.3: openai-agents==0.3.3 + openai_agents-v0.6.9: openai-agents==0.6.9 + openai_agents-v0.8.4: openai-agents==0.8.4 openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.15.0: pydantic-ai==1.15.0 - pydantic_ai-v1.30.1: pydantic-ai==1.30.1 - pydantic_ai-v1.44.0: pydantic-ai==1.44.0 + pydantic_ai-v1.19.0: pydantic-ai==1.19.0 + pydantic_ai-v1.38.0: pydantic-ai==1.38.0 + pydantic_ai-v1.58.0: pydantic-ai==1.58.0 pydantic_ai: pytest-asyncio # ~~~ AI Workflow ~~~ langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.2.6: langchain==1.2.6 + langchain-base-v1.2.10: langchain==1.2.10 langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.2.6: langchain-community - langchain-base-v1.2.6: langchain-classic + langchain-base-v1.2.10: langchain-community + langchain-base-v1.2.10: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.2.6: langchain==1.2.6 + langchain-notiktoken-v1.2.10: langchain==1.2.10 langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.2.6: langchain-community - langchain-notiktoken-v1.2.6: langchain-classic + langchain-notiktoken-v1.2.10: langchain-community + langchain-notiktoken-v1.2.10: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 - langgraph-v1.0.6: langgraph==1.0.6 + langgraph-v1.0.8: langgraph==1.0.8 # ~~~ AI ~~~ anthropic-v0.16.0: anthropic==0.16.0 - anthropic-v0.36.2: anthropic==0.36.2 - anthropic-v0.56.0: anthropic==0.56.0 - anthropic-v0.76.0: anthropic==0.76.0 + anthropic-v0.37.1: anthropic==0.37.1 + anthropic-v0.58.2: anthropic==0.58.2 + anthropic-v0.79.0: anthropic==0.79.0 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 - anthropic-v0.36.2: httpx<0.28.0 + anthropic-v0.37.1: httpx<0.28.0 cohere-v5.4.0: cohere==5.4.0 cohere-v5.10.0: cohere==5.10.0 cohere-v5.15.0: cohere==5.15.0 - cohere-v5.20.1: cohere==5.20.1 + cohere-v5.20.5: cohere==5.20.5 google_genai-v1.29.0: google-genai==1.29.0 - google_genai-v1.39.1: google-genai==1.39.1 - google_genai-v1.49.0: google-genai==1.49.0 - google_genai-v1.59.0: google-genai==1.59.0 + google_genai-v1.40.0: google-genai==1.40.0 + google_genai-v1.51.0: google-genai==1.51.0 + google_genai-v1.63.0: google-genai==1.63.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 - huggingface_hub-v0.36.0: huggingface_hub==0.36.0 - huggingface_hub-v1.3.2: huggingface_hub==1.3.2 + huggingface_hub-v0.36.2: huggingface_hub==0.36.2 + huggingface_hub-v1.4.1: huggingface_hub==1.4.1 huggingface_hub: responses huggingface_hub: pytest-httpx litellm-v1.77.7: litellm==1.77.7 litellm-v1.78.7: litellm==1.78.7 litellm-v1.79.3: litellm==1.79.3 - litellm-v1.81.0: litellm==1.81.0 + litellm-v1.81.11: litellm==1.81.11 openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 - openai-base-v2.15.0: openai==2.15.0 + openai-base-v2.20.0: openai==2.20.0 openai-base: pytest-asyncio openai-base: tiktoken openai-base-v1.0.1: httpx<0.28 openai-notiktoken-v1.0.1: openai==1.0.1 openai-notiktoken-v1.109.1: openai==1.109.1 - openai-notiktoken-v2.15.0: openai==2.15.0 + openai-notiktoken-v2.20.0: openai==2.20.0 openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 @@ -483,12 +484,13 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.42.30: boto3==1.42.30 + boto3-v1.42.48: boto3==1.42.48 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 chalice-v1.32.0: chalice==1.32.0 chalice: pytest-chalice + chalice: setuptools<82 # ~~~ DBs ~~~ @@ -510,7 +512,7 @@ deps = redis-v4.6.0: redis==4.6.0 redis-v5.3.1: redis==5.3.1 redis-v6.4.0: redis==6.4.0 - redis-v7.1.0: redis==7.1.0 + redis-v7.1.1: redis==7.1.1 redis: fakeredis!=1.7.4 redis: pytest<8.0.0 redis-v4.6.0: fakeredis<2.31.0 @@ -522,27 +524,29 @@ deps = sqlalchemy-v1.2.19: sqlalchemy==1.2.19 sqlalchemy-v1.4.54: sqlalchemy==1.4.54 - sqlalchemy-v2.0.45: sqlalchemy==2.0.45 + sqlalchemy-v2.0.46: sqlalchemy==2.0.46 + sqlalchemy-v2.1.0b1: sqlalchemy==2.1.0b1 # ~~~ Flags ~~~ launchdarkly-v9.8.1: launchdarkly-server-sdk==9.8.1 - launchdarkly-v9.14.1: launchdarkly-server-sdk==9.14.1 + launchdarkly-v9.15.0: launchdarkly-server-sdk==9.15.0 openfeature-v0.7.5: openfeature-sdk==0.7.5 openfeature-v0.8.4: openfeature-sdk==0.8.4 statsig-v0.55.3: statsig==0.55.3 - statsig-v0.67.0: statsig==0.67.0 + statsig-v0.69.0: statsig==0.69.0 statsig: typing_extensions unleash-v6.0.1: UnleashClient==6.0.1 - unleash-v6.4.1: UnleashClient==6.4.1 + unleash-v6.5.2: UnleashClient==6.5.2 # ~~~ GraphQL ~~~ ariadne-v0.20.1: ariadne==0.20.1 - ariadne-v0.27.0: ariadne==0.27.0 + ariadne-v0.28.0: ariadne==0.28.0 + ariadne-v0.28.1rc1: ariadne==0.28.1rc1 ariadne: fastapi ariadne: flask ariadne: httpx @@ -560,7 +564,7 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.289.0: strawberry-graphql[fastapi,flask]==0.289.0 + strawberry-v0.291.3: strawberry-graphql[fastapi,flask]==0.291.3 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -569,8 +573,7 @@ deps = grpc-v1.32.0: grpcio==1.32.0 grpc-v1.47.5: grpcio==1.47.5 grpc-v1.62.3: grpcio==1.62.3 - grpc-v1.76.0: grpcio==1.76.0 - grpc-v1.78.0rc2: grpcio==1.78.0rc2 + grpc-v1.78.0: grpcio==1.78.0 grpc: protobuf grpc: mypy-protobuf grpc: types-protobuf @@ -592,15 +595,14 @@ deps = # ~~~ Tasks ~~~ arq-v0.23: arq==0.23 - arq-v0.26.3: arq==0.26.3 + arq-v0.27.0: arq==0.27.0 arq: async-timeout arq: pytest-asyncio arq: fakeredis>=2.2.0,<2.8 arq-v0.23: pydantic<2 beam-v2.14.0: apache-beam==2.14.0 - beam-v2.70.0: apache-beam==2.70.0 - beam-v2.71.0rc3: apache-beam==2.71.0rc3 + beam-v2.71.0: apache-beam==2.71.0 beam: dill celery-v4.4.7: celery==4.4.7 @@ -637,23 +639,23 @@ deps = django-v1.11.29: django==1.11.29 django-v2.2.28: django==2.2.28 django-v3.2.25: django==3.2.25 - django-v4.2.27: django==4.2.27 - django-v5.2.10: django==5.2.10 - django-v6.0.1: django==6.0.1 + django-v4.2.28: django==4.2.28 + django-v5.2.11: django==5.2.11 + django-v6.0.2: django==6.0.2 django: psycopg2-binary django: djangorestframework django: pytest-django django: Werkzeug django-v2.2.28: channels[daphne] django-v3.2.25: channels[daphne] - django-v4.2.27: channels[daphne] - django-v5.2.10: channels[daphne] - django-v6.0.1: channels[daphne] + django-v4.2.28: channels[daphne] + django-v5.2.11: channels[daphne] + django-v6.0.2: channels[daphne] django-v2.2.28: six django-v3.2.25: pytest-asyncio - django-v4.2.27: pytest-asyncio - django-v5.2.10: pytest-asyncio - django-v6.0.1: pytest-asyncio + django-v4.2.28: pytest-asyncio + django-v5.2.11: pytest-asyncio + django-v6.0.2: pytest-asyncio django-v1.11.29: djangorestframework>=3.0,<4.0 django-v1.11.29: Werkzeug<2.1.0 django-v2.2.28: djangorestframework>=3.0,<4.0 @@ -687,16 +689,16 @@ deps = {py3.6}-starlette: aiocontextvars fastapi-v0.79.1: fastapi==0.79.1 - fastapi-v0.95.2: fastapi==0.95.2 - fastapi-v0.111.1: fastapi==0.111.1 - fastapi-v0.128.0: fastapi==0.128.0 + fastapi-v0.96.1: fastapi==0.96.1 + fastapi-v0.113.0: fastapi==0.113.0 + fastapi-v0.129.0: fastapi==0.129.0 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart fastapi: requests fastapi: anyio<4 fastapi-v0.79.1: httpx<0.28.0 - fastapi-v0.95.2: httpx<0.28.0 + fastapi-v0.96.1: httpx<0.28.0 {py3.6}-fastapi: aiocontextvars @@ -719,16 +721,15 @@ deps = falcon-v4.2.0: falcon==4.2.0 litestar-v2.0.1: litestar==2.0.1 - litestar-v2.6.4: litestar==2.6.4 - litestar-v2.12.1: litestar==2.12.1 - litestar-v2.19.0: litestar==2.19.0 + litestar-v2.7.2: litestar==2.7.2 + litestar-v2.14.0: litestar==2.14.0 + litestar-v2.20.0: litestar==2.20.0 litestar: pytest-asyncio litestar: python-multipart litestar: requests litestar: cryptography litestar: sniffio litestar-v2.0.1: httpx<0.28 - litestar-v2.6.4: httpx<0.28 pyramid-v1.8.6: pyramid==1.8.6 pyramid-v1.10.8: pyramid==1.10.8 @@ -784,13 +785,13 @@ deps = trytond-v4.8.18: trytond==4.8.18 trytond-v5.8.16: trytond==5.8.16 trytond-v6.8.17: trytond==6.8.17 - trytond-v7.8.3: trytond==7.8.3 + trytond-v7.8.4: trytond==7.8.4 trytond: werkzeug trytond-v4.6.22: werkzeug<1.0 trytond-v4.8.18: werkzeug<1.0 typer-v0.15.4: typer==0.15.4 - typer-v0.21.1: typer==0.21.1 + typer-v0.23.1: typer==0.23.1