From e414c1ee16a5eba3a5093a5dcfd501b2ae65e9f1 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Thu, 25 Sep 2025 14:03:41 -0700 Subject: [PATCH 01/30] feat: OpenAI Agents tracing according to latest genai spec --- .github/ISSUE_TEMPLATE/bug_report.yaml | 8 + .github/ISSUE_TEMPLATE/feature_request.yaml | 8 + .github/component_owners.yml | 85 +- .../src/generate_workflows_lib/lint.yml.j2 | 1 + .../src/generate_workflows_lib/misc.yml.j2 | 1 + .../src/generate_workflows_lib/test.yml.j2 | 1 + .github/workflows/lint_0.yml | 1 + .github/workflows/misc_0.yml | 7 +- .../package-prepare-patch-release.yml | 3 +- .github/workflows/package-prepare-release.yml | 3 +- .github/workflows/package-release.yml | 1 + .github/workflows/test_0.yml | 1 + .github/workflows/test_1.yml | 1 + .github/workflows/test_2.yml | 1 + .pre-commit-config.yaml | 6 + .rstcheck.cfg | 2 + CHANGELOG.md | 41 +- CONTRIBUTING.md | 3 +- _template/README.rst | 4 +- _template/version.py | 2 +- dev-requirements.txt | 2 +- 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util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/__init__.py create mode 100644 util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/completion_hook.py create mode 100644 util/opentelemetry-util-genai/src/opentelemetry/util/genai/completion_hook.py create mode 100644 util/opentelemetry-util-genai/src/opentelemetry/util/genai/environment_variables.py create mode 100644 util/opentelemetry-util-genai/src/opentelemetry/util/genai/types.py create mode 100644 util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py create mode 100644 util/opentelemetry-util-genai/tests/test_completion_hook.py create mode 100644 util/opentelemetry-util-genai/tests/test_fsspec_upload.py create mode 100644 util/opentelemetry-util-genai/tests/test_utils.py diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml index f56dca9ab8..5265ebb3f9 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.yaml +++ b/.github/ISSUE_TEMPLATE/bug_report.yaml @@ -64,3 +64,11 @@ body: options: - "No" - "Yes" + + - type: dropdown + attributes: + label: Tip + description: This element is static, used to render a helpful sub-heading for end-users and community members to help prioritize issues. Please leave as is. + options: + - [React](https://github.blog/news-insights/product-news/add-reactions-to-pull-requests-issues-and-comments/) with 👍 to help prioritize this issue. Please use comments to provide useful context, avoiding `+1` or `me too`, to help us triage it. Learn more [here](https://opentelemetry.io/community/end-user/issue-participation/). + default: 0 diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml index 270409a495..5d62ad35cc 100644 --- a/.github/ISSUE_TEMPLATE/feature_request.yaml +++ b/.github/ISSUE_TEMPLATE/feature_request.yaml @@ -48,3 +48,11 @@ body: options: - "No" - "Yes" + + - type: dropdown + attributes: + label: Tip + description: This element is static, used to render a helpful sub-heading for end-users and community members to help prioritize issues. Please leave as is. + options: + - [React](https://github.blog/news-insights/product-news/add-reactions-to-pull-requests-issues-and-comments/) with 👍 to help prioritize this issue. Please use comments to provide useful context, avoiding `+1` or `me too`, to help us triage it. Learn more [here](https://opentelemetry.io/community/end-user/issue-participation/). + default: 0 diff --git a/.github/component_owners.yml b/.github/component_owners.yml index 1d1e2b00a6..488e2dbfad 100644 --- a/.github/component_owners.yml +++ b/.github/component_owners.yml @@ -1,50 +1,16 @@ components: - docs/instrumentation: - - nemoshlag - - - instrumentation/opentelemetry-instrumentation-aio-pika: - - ofek1weiss + instrumentation/opentelemetry-instrumentation-aiokafka: + - dimastbk - instrumentation/opentelemetry-instrumentation-boto3sqs: - - oxeye-nikolay - - nikosokolik - instrumentation/opentelemetry-instrumentation-asyncclick: - jomcgi - instrumentation/opentelemetry-instrumentation-kafka-python: - - nozik - - instrumentation/opentelemetry-instrumentation-pika: - - oxeye-nikolay - - nikosokolik - - instrumentation/opentelemetry-instrumentation-redis: - - sungwonh - - instrumentation/opentelemetry-instrumentation-remoulade: - - ben-natan - - machine424 - - instrumentation/opentelemetry-instrumentation-confluent-kafka: - - oxeye-dorkolog - - dorkolog - - propagator/opentelemetry-propagator-aws-xray: - - NathanielRN - - sdk-extension/opentelemetry-sdk-extension-aws: - - NathanielRN - - Kausik-A - - srprash - - instrumentation/opentelemetry-instrumentation-tortoiseorm: - - tonybaloney + instrumentation/opentelemetry-instrumentation-asyncio: + - bourbonkk - instrumentation/opentelemetry-instrumentation-tornado: - - shalevr + instrumentation/opentelemetry-instrumentation-pymssql: + - guillaumep instrumentation/opentelemetry-instrumentation-urllib: - shalevr @@ -52,27 +18,6 @@ components: instrumentation/opentelemetry-instrumentation-urllib3: - shalevr - instrumentation/opentelemetry-instrumentation-sqlalchemy: - - shalevr - - instrumentation/opentelemetry-instrumentation-cassandra: - - mattcontinisio - - instrumentation/opentelemetry-instrumentation-asyncio: - - bourbonkk - - instrumentation/opentelemetry-instrumentation-psycopg: - - federicobond - - instrumentation/opentelemetry-instrumentation-pymssql: - - guillaumep - - instrumentation/opentelemetry-instrumentation-aiokafka: - - dimastbk - - processor/opentelemetry-processor-baggage: - - codeboten - instrumentation-genai/: - karthikscale3 - lmolkova @@ -81,3 +26,21 @@ components: - nirga - alizenhom - codefromthecrypt + + processor/opentelemetry-processor-baggage: + - codeboten + + propagator/opentelemetry-propagator-aws-xray: + - jj22ee + + sdk-extension/opentelemetry-sdk-extension-aws: + - srprash + - jj22ee + + util/opentelemetry-util-genai: + - DylanRussell + - keith-decker + + instrumentation-genai/opentelemetry-instrumentation-langchain: + - zhirafovod + - wrisa \ No newline at end of file diff --git a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/lint.yml.j2 b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/lint.yml.j2 index 676ec2915a..47fef24084 100644 --- a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/lint.yml.j2 +++ b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/lint.yml.j2 @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/misc.yml.j2 b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/misc.yml.j2 index 1d4da3b184..4bc5f38e87 100644 --- a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/misc.yml.j2 +++ b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/misc.yml.j2 @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/test.yml.j2 b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/test.yml.j2 index 1ee667cda7..b8f45b840f 100644 --- a/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/test.yml.j2 +++ b/.github/workflows/generate_workflows_lib/src/generate_workflows_lib/test.yml.j2 @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/lint_0.yml b/.github/workflows/lint_0.yml index 1e91d4a4cf..9875fed3f4 100644 --- a/.github/workflows/lint_0.yml +++ b/.github/workflows/lint_0.yml @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/misc_0.yml b/.github/workflows/misc_0.yml index 62674abd40..18a1a499a3 100644 --- a/.github/workflows/misc_0.yml +++ b/.github/workflows/misc_0.yml @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: @@ -156,8 +157,8 @@ jobs: - name: Run tests run: tox -e shellcheck - ruff: - name: ruff + precommit: + name: precommit runs-on: ubuntu-latest timeout-minutes: 30 steps: @@ -173,7 +174,7 @@ jobs: run: pip install tox-uv - name: Run tests - run: tox -e ruff + run: tox -e precommit typecheck: name: typecheck diff --git a/.github/workflows/package-prepare-patch-release.yml b/.github/workflows/package-prepare-patch-release.yml index 3aba3dc60a..4d7dd8176b 100644 --- a/.github/workflows/package-prepare-patch-release.yml +++ b/.github/workflows/package-prepare-patch-release.yml @@ -11,6 +11,7 @@ on: - opentelemetry-instrumentation-openai-v2 - opentelemetry-instrumentation-vertexai - opentelemetry-instrumentation-google-genai + - opentelemetry-util-genai description: 'Package to be released' required: true permissions: @@ -48,7 +49,7 @@ jobs: version=$(./scripts/eachdist.py version --package ${{ inputs.package }}) - version_file=$(find $path -type f -path "*version*.py") + version_file=$(find $path -type f -path "**/version.py") file_count=$(echo "$version_file" | wc -l) if [ "$file_count" -ne 1 ]; then diff --git a/.github/workflows/package-prepare-release.yml b/.github/workflows/package-prepare-release.yml index 2d5a629e16..1849a9405c 100644 --- a/.github/workflows/package-prepare-release.yml +++ b/.github/workflows/package-prepare-release.yml @@ -11,6 +11,7 @@ on: - opentelemetry-instrumentation-openai-v2 - opentelemetry-instrumentation-vertexai - opentelemetry-instrumentation-google-genai + - opentelemetry-util-genai description: 'Package to be released' required: true @@ -60,7 +61,7 @@ jobs: version=${version_dev%.dev} - version_file=$(find $path -type f -path "*version*.py") + version_file=$(find $path -type f -path "**/version.py") file_count=$(echo "$version_file" | wc -l) if [ "$file_count" -ne 1 ]; then diff --git a/.github/workflows/package-release.yml b/.github/workflows/package-release.yml index 3a9705b09b..a5d697244c 100644 --- a/.github/workflows/package-release.yml +++ b/.github/workflows/package-release.yml @@ -11,6 +11,7 @@ on: - opentelemetry-instrumentation-openai-v2 - opentelemetry-instrumentation-vertexai - opentelemetry-instrumentation-google-genai + - opentelemetry-util-genai description: 'Package to be released' required: true permissions: diff --git a/.github/workflows/test_0.yml b/.github/workflows/test_0.yml index 48d96ef937..68694460b6 100644 --- a/.github/workflows/test_0.yml +++ b/.github/workflows/test_0.yml @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/test_1.yml b/.github/workflows/test_1.yml index 0787a3c379..058db6d49b 100644 --- a/.github/workflows/test_1.yml +++ b/.github/workflows/test_1.yml @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.github/workflows/test_2.yml b/.github/workflows/test_2.yml index 4270308bcf..f352a83d53 100644 --- a/.github/workflows/test_2.yml +++ b/.github/workflows/test_2.yml @@ -7,6 +7,7 @@ on: push: branches-ignore: - 'release/*' + - 'otelbot/*' pull_request: permissions: diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 587e1cd8c6..5b9bf9973f 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -13,3 +13,9 @@ repos: rev: 0.6.0 hooks: - id: uv-lock + - repo: https://github.com/rstcheck/rstcheck + rev: 77490ffa33bfc0928975ae3cf904219903db755d # frozen: v6.2.5 + hooks: + - id: rstcheck + additional_dependencies: ['rstcheck[sphinx]'] + args: ["--report-level", "warning"] diff --git a/.rstcheck.cfg b/.rstcheck.cfg new file mode 100644 index 0000000000..afd93e4dc3 --- /dev/null +++ b/.rstcheck.cfg @@ -0,0 +1,2 @@ +[rstcheck] +ignore_directives = automodule diff --git a/CHANGELOG.md b/CHANGELOG.md index 74cae16d1d..b63232109b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -13,17 +13,56 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed +### Added +- `opentelemetry-instrumentation`: botocore: Add support for AWS Secrets Manager semantic convention attribute + ([#3765](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3765)) +- Add `rstcheck` to pre-commit to stop introducing invalid RST + ([#3777](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3777)) + + +## Version 1.37.0/0.58b0 (2025-09-11) + +### Fixed + +- `opentelemetry-instrumentation-fastapi`: Fix middleware ordering to cover all exception handling use cases. + ([#3664](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3664)) +- `opentelemetry-instrumentation-asgi`: Make all user hooks failsafe and record exceptions in hooks. + ([#3664](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3664)) - `opentelemetry-instrumentation-fastapi`: Fix memory leak in `uninstrument_app()` by properly removing apps from the tracking set - ([#3688](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3688) + ([#3688](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3688)) - `opentelemetry-instrumentation-tornado` Fix server (request) duration metric calculation ([#3679](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3679)) +- `opentelemetry-instrumentation-tornado`: Fix to properly skip all server telemetry when URL excluded. + ([#3680](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3680)) - `opentelemetry-instrumentation`: Avoid calls to `context.detach` with `None` token. ([#3673](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3673)) +- `opentelemetry-instrumentation-starlette`/`opentelemetry-instrumentation-fastapi`: Fixes a crash when host-based routing is used + ([#3507](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3507)) +- Fix documentation order of sections and headers for Django, Flask, MySQL, mysqlclient, psycopg, psycopg2, pymysql, sqlalchemy instrumentations. + ([#3719](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3719)) +- `opentelemetry-instrumentation-asgi` Fixed an issue where FastAPI reports IP instead of URL. + ([#3670](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3670)) +- `opentelemetry-instrumentation-httpx`: fix missing metric response attributes when tracing is disabled + ([#3615](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3615)) +- `opentelemetry-instrumentation-fastapi`: Don't pass bounded server_request_hook when using `FastAPIInstrumentor.instrument()` + ([#3701](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3701)) ### Added - `opentelemetry-instrumentation-confluent-kafka` Add support for confluent-kafka <=2.11.0 ([#3685](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3685)) +- `opentelemetry-instrumentation-system-metrics`: Add `cpython.gc.collected_objects` and `cpython.gc.uncollectable_objects` metrics + ([#3666](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3666)) +- `opentelemetry-sdk-extension-aws` Add AWS X-Ray Remote Sampler with initial Rules Poller implementation + ([#3366](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3366)) +- `opentelemetry-instrumentation`: add support for `OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH` to inform opentelemetry-instrument about gevent monkeypatching + ([#3699](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3699)) +- `opentelemetry-instrumentation`: botocore: Add support for AWS Step Functions semantic convention attributes + ([#3737](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3737)) +- `opentelemetry-instrumentation-botocore`: Add support for SNS semantic convention attribute aws.sns.topic.arn + ([#3734](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3734)) +- `opentelemetry-instrumentation`: botocore: upgrade moto package from 5.0.9 to 5.1.11 + ([#3736](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3736)) ## Version 1.36.0/0.57b0 (2025-07-29) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 908e33df4a..ee4ebea01d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -84,8 +84,9 @@ You can run `tox` with the following arguments: * `tox -e lint-some-package` to run lint checks on `some-package` * `tox -e generate-workflows` to run creation of new CI workflows if tox environments have been updated * `tox -e ruff` to run ruff linter and formatter checks against the entire codebase +* `tox -e precommit` to run all `pre-commit` actions -`ruff check` and `ruff format` are executed when `tox -e ruff` is run. We strongly recommend you to configure [pre-commit](https://pre-commit.com/) locally to run `ruff` automatically before each commit by installing it as git hooks. You just need to [install pre-commit](https://pre-commit.com/#install) in your environment: +`ruff check` and `ruff format` are executed when `tox -e ruff` is run. We strongly recommend you to configure [pre-commit](https://pre-commit.com/) locally to run `ruff` and `rstcheck` automatically before each commit by installing it as git hooks. You just need to [install pre-commit](https://pre-commit.com/#install) in your environment: ```console pip install pre-commit -c dev-requirements.txt diff --git a/_template/README.rst b/_template/README.rst index 78226bba43..16e1043988 100644 --- a/_template/README.rst +++ b/_template/README.rst @@ -1,5 +1,5 @@ OpenTelemetry Instrumentation -=========================== +========================================== |pypi| @@ -20,5 +20,5 @@ Installation References ---------- -* `OpenTelemetry / Tracing /.html>`_ +* `OpenTelemetry REPLACE ME/ Tracing `_ * `OpenTelemetry Project `_ diff --git a/_template/version.py b/_template/version.py index 6dcebda201..46aee9202b 100644 --- a/_template/version.py +++ b/_template/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/dev-requirements.txt b/dev-requirements.txt index 28e52c904e..b41f3d7b99 100644 --- a/dev-requirements.txt +++ b/dev-requirements.txt @@ -1,6 +1,6 @@ pylint==3.0.2 httpretty==1.1.4 -pyright==v1.1.396 +pyright==v1.1.404 sphinx==7.1.2 sphinx-rtd-theme==2.0.0rc4 sphinx-autodoc-typehints==1.25.2 diff --git a/docs-requirements.txt b/docs-requirements.txt index cc246fe221..afd03672d0 100644 --- a/docs-requirements.txt +++ b/docs-requirements.txt @@ -9,6 +9,9 @@ pymemcache~=1.3 # Required by conf django>=2.2 +# Require by opentelemetry-util-genai +fsspec>=2025.9.0 + # Required by instrumentation and exporter packages aio_pika~=7.2.0 aiohttp~=3.0 diff --git a/docs/conf.py b/docs/conf.py index e7a7553144..0f45647dc4 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -67,6 +67,12 @@ for f in listdir(resource) if isdir(join(resource, f)) ] +util = "../util" +util_dirs = [ + os.path.abspath("/".join([util, f, "src"])) + for f in listdir(util) + if isdir(join(util, f)) +] sys.path[:0] = ( exp_dirs + instr_dirs @@ -74,6 +80,7 @@ + sdk_ext_dirs + prop_dirs + resource_dirs + + util_dirs ) # -- Project information ----------------------------------------------------- @@ -123,6 +130,7 @@ None, ), "redis": ("https://redis.readthedocs.io/en/latest/", None), + "fsspec": ("https://filesystem-spec.readthedocs.io/en/latest/", None), } # http://www.sphinx-doc.org/en/master/config.html#confval-nitpicky diff --git a/docs/instrumentation-genai/util.rst b/docs/instrumentation-genai/util.rst new file mode 100644 index 0000000000..a2b1635099 --- /dev/null +++ b/docs/instrumentation-genai/util.rst @@ -0,0 +1,31 @@ +OpenTelemetry Python - GenAI Util +================================= + +.. automodule:: opentelemetry.util.genai + :members: + :undoc-members: + :show-inheritance: + +.. automodule:: opentelemetry.util.genai.utils + :members: + :undoc-members: + :show-inheritance: + +.. automodule:: opentelemetry.util.genai.types + :members: + :undoc-members: + :show-inheritance: + +.. automodule:: opentelemetry.util.genai.environment_variables + :members: + :undoc-members: + :show-inheritance: + +.. automodule:: opentelemetry.util.genai.completion_hook + :members: + :undoc-members: + :show-inheritance: + +.. automodule:: opentelemetry.util.genai._fsspec_upload + :members: + :show-inheritance: diff --git a/eachdist.ini b/eachdist.ini index 52d1ef7fb1..72a9bdf63d 100644 --- a/eachdist.ini +++ b/eachdist.ini @@ -16,7 +16,7 @@ sortfirst= ext/* [stable] -version=1.37.0.dev +version=1.38.0.dev packages= opentelemetry-sdk @@ -34,7 +34,7 @@ packages= opentelemetry-api [prerelease] -version=0.58b0.dev +version=0.59b0.dev packages= all diff --git a/exporter/opentelemetry-exporter-prometheus-remote-write/src/opentelemetry/exporter/prometheus_remote_write/version.py b/exporter/opentelemetry-exporter-prometheus-remote-write/src/opentelemetry/exporter/prometheus_remote_write/version.py index 6dcebda201..46aee9202b 100644 --- a/exporter/opentelemetry-exporter-prometheus-remote-write/src/opentelemetry/exporter/prometheus_remote_write/version.py +++ b/exporter/opentelemetry-exporter-prometheus-remote-write/src/opentelemetry/exporter/prometheus_remote_write/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/exporter/opentelemetry-exporter-richconsole/pyproject.toml b/exporter/opentelemetry-exporter-richconsole/pyproject.toml index 614075da34..2242a86bec 100644 --- a/exporter/opentelemetry-exporter-richconsole/pyproject.toml +++ b/exporter/opentelemetry-exporter-richconsole/pyproject.toml @@ -27,7 +27,7 @@ classifiers = [ dependencies = [ "opentelemetry-api ~= 1.12", "opentelemetry-sdk ~= 1.12", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "rich>=10.0.0", ] diff --git a/exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/version.py b/exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/version.py index 6dcebda201..46aee9202b 100644 --- a/exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/version.py +++ b/exporter/opentelemetry-exporter-richconsole/src/opentelemetry/exporter/richconsole/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation-genai/README.md b/instrumentation-genai/README.md index ef9f4ac739..6fb9da7567 100644 --- a/instrumentation-genai/README.md +++ b/instrumentation-genai/README.md @@ -3,6 +3,7 @@ | --------------- | ------------------ | --------------- | -------------- | | [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development | [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development +| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai >= 1.26.0 | Yes | development | [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development | [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development -| [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development \ No newline at end of file +| [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development diff --git a/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/manual/README.rst b/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/manual/README.rst index 182c5fc11a..79301aa5d4 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/manual/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/manual/README.rst @@ -1,5 +1,5 @@ OpenTelemetry Google GenAI SDK Manual Instrumentation Example -============================================ +============================================================= This is an example of how to instrument Google GenAI SDK calls when configuring OpenTelemetry SDK and Instrumentations manually. diff --git a/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/zero-code/README.rst b/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/zero-code/README.rst index a04433c846..0833906275 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/zero-code/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-google-genai/examples/zero-code/README.rst @@ -1,5 +1,5 @@ OpenTelemetry Google GenAI SDK Manual Instrumentation Example -============================================ +============================================================= This is an example of how to instrument Google GenAI SDK calls with zero code changes, using `opentelemetry-instrument`. diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-langchain/CHANGELOG.md index 6209a70d6f..c3d51f9fef 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-langchain/CHANGELOG.md +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/CHANGELOG.md @@ -5,4 +5,7 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## Unreleased \ No newline at end of file +## Unreleased + +- Added span support for genAI langchain llm invocation. + ([#3665](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3665)) \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/NOTICE b/instrumentation-genai/opentelemetry-instrumentation-langchain/NOTICE new file mode 100644 index 0000000000..5e1b009520 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/NOTICE @@ -0,0 +1,3 @@ +This project is inspired by and portions of it are derived from Traceloop OpenLLMetry +(https://github.com/traceloop/openllmetry). +Licensed under the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0). \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/.env b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/.env new file mode 100644 index 0000000000..e34c860897 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/.env @@ -0,0 +1,8 @@ +# Update this with your real OpenAI API key +OPENAI_API_KEY=sk-YOUR_API_KEY + +# Uncomment and change to your OTLP endpoint +# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 +# OTEL_EXPORTER_OTLP_PROTOCOL=grpc + +OTEL_SERVICE_NAME=opentelemetry-python-langchain-manual diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/README.rst b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/README.rst new file mode 100644 index 0000000000..45d67f9acd --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/README.rst @@ -0,0 +1,39 @@ +OpenTelemetry Langcahin Instrumentation Example +=============================================== + +This is an example of how to instrument Langchain when configuring OpenTelemetry SDK and instrumentations manually. + +When `main.py `_ is run, it exports traces to an OTLP-compatible endpoint. +Traces include details such as the span name and other attributes. + +Note: `.env <.env>`_ file configures additional environment variables: +- :code:`OTEL_LOGS_EXPORTER=otlp` to specify exporter type. +- :code:`OPENAI_API_KEY` open AI key for accessing the OpenAI API. +- :code:`OTEL_EXPORTER_OTLP_ENDPOINT` to specify the endpoint for exporting traces (default is http://localhost:4317). + +Setup +----- + +Minimally, update the `.env <.env>`_ file with your :code:`OPENAI_API_KEY`. +An OTLP compatible endpoint should be listening for traces http://localhost:4317. +If not, update :code:`OTEL_EXPORTER_OTLP_ENDPOINT` as well. + +Next, set up a virtual environment like this: + +:: + + python3 -m venv .venv + source .venv/bin/activate + pip install "python-dotenv[cli]" + pip install -r requirements.txt + +Run +--- + +Run the example like this: + +:: + + dotenv run -- python main.py + +You should see the capital of France generated by Langchain ChatOpenAI while traces export to your configured observability tool. diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/main.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/main.py new file mode 100644 index 0000000000..e18f53ff31 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/main.py @@ -0,0 +1,48 @@ +from langchain_core.messages import HumanMessage, SystemMessage +from langchain_openai import ChatOpenAI + +from opentelemetry import trace +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( + OTLPSpanExporter, +) +from opentelemetry.instrumentation.langchain import LangChainInstrumentor +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor + +# Configure tracing +trace.set_tracer_provider(TracerProvider()) +span_processor = BatchSpanProcessor(OTLPSpanExporter()) +trace.get_tracer_provider().add_span_processor(span_processor) + + +def main(): + # Set up instrumentation + LangChainInstrumentor().instrument() + + # ChatOpenAI + llm = ChatOpenAI( + model="gpt-3.5-turbo", + temperature=0.1, + max_tokens=100, + top_p=0.9, + frequency_penalty=0.5, + presence_penalty=0.5, + stop_sequences=["\n", "Human:", "AI:"], + seed=100, + ) + + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + + result = llm.invoke(messages) + + print("LLM output:\n", result) + + # Un-instrument after use + LangChainInstrumentor().uninstrument() + + +if __name__ == "__main__": + main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/requirements.txt new file mode 100644 index 0000000000..0f986b1be0 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/manual/requirements.txt @@ -0,0 +1,7 @@ +langchain==0.3.21 +langchain_openai +opentelemetry-sdk>=1.31.0 +opentelemetry-exporter-otlp-proto-grpc>=1.31.0 + +# Uncomment after lanchain instrumetation is released +# opentelemetry-instrumentation-langchain~=2.0b0.dev \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/.env b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/.env new file mode 100644 index 0000000000..b5f56bb3fd --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/.env @@ -0,0 +1,8 @@ +# Update this with your real OpenAI API key +OPENAI_API_KEY=sk-YOUR_API_KEY + +# Uncomment and change to your OTLP endpoint +# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 +# OTEL_EXPORTER_OTLP_PROTOCOL=grpc + +OTEL_SERVICE_NAME=opentelemetry-python-langchain-zero-code \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/README.rst b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/README.rst new file mode 100644 index 0000000000..368da6807d --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/README.rst @@ -0,0 +1,40 @@ +OpenTelemetry Langchain Zero-Code Instrumentation Example +========================================================= + +This is an example of how to instrument Langchain with zero code changes, +using `opentelemetry-instrument`. + +When `main.py `_ is run, it exports traces to an OTLP-compatible endpoint. +Traces include details such as the span name and other attributes. + +Note: `.env <.env>`_ file configures additional environment variables: +- :code:`OTEL_LOGS_EXPORTER=otlp` to specify exporter type. +- :code:`OPENAI_API_KEY` open AI key for accessing the OpenAI API. +- :code:`OTEL_EXPORTER_OTLP_ENDPOINT` to specify the endpoint for exporting traces (default is http://localhost:4317). + +Setup +----- + +Minimally, update the `.env <.env>`_ file with your :code:`OPENAI_API_KEY`. +An OTLP compatible endpoint should be listening for traces http://localhost:4317. +If not, update :code:`OTEL_EXPORTER_OTLP_ENDPOINT` as well. + +Next, set up a virtual environment like this: + +:: + + python3 -m venv .venv + source .venv/bin/activate + pip install "python-dotenv[cli]" + pip install -r requirements.txt + +Run +--- + +Run the example like this: + +:: + + dotenv run -- opentelemetry-instrument python main.py + +You should see the capital of France generated by Langchain ChatOpenAI while traces export to your configured observability tool. diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/main.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/main.py new file mode 100644 index 0000000000..24ee6db16d --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/main.py @@ -0,0 +1,27 @@ +from langchain_core.messages import HumanMessage, SystemMessage +from langchain_openai import ChatOpenAI + + +def main(): + llm = ChatOpenAI( + model="gpt-3.5-turbo", + temperature=0.1, + max_tokens=100, + top_p=0.9, + frequency_penalty=0.5, + presence_penalty=0.5, + stop_sequences=["\n", "Human:", "AI:"], + seed=100, + ) + + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + + result = llm.invoke(messages).content + print("LLM output:\n", result) + + +if __name__ == "__main__": + main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/requirements.txt new file mode 100644 index 0000000000..63b3f56cf1 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/examples/zero-code/requirements.txt @@ -0,0 +1,8 @@ +langchain==0.3.21 +langchain_openai +opentelemetry-sdk>=1.31.0 +opentelemetry-exporter-otlp-proto-grpc>=1.31.0 +opentelemetry-distro~=0.51b0 + +# Uncomment after lanchain instrumetation is released +# opentelemetry-instrumentation-langchain~=2.0b0.dev diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-langchain/pyproject.toml index 55e24185f2..4f3e88115b 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-langchain/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/pyproject.toml @@ -25,9 +25,9 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-api ~= 1.30", - "opentelemetry-instrumentation ~= 0.51b0", - "opentelemetry-semantic-conventions ~= 0.51b0" + "opentelemetry-api >= 1.31.0", + "opentelemetry-instrumentation ~= 0.57b0", + "opentelemetry-semantic-conventions ~= 0.57b0" ] [project.optional-dependencies] @@ -35,6 +35,9 @@ instruments = [ "langchain >= 0.3.21", ] +[project.entry-points.opentelemetry_instrumentor] +langchain = "opentelemetry.instrumentation.langchain:LangChainInstrumentor" + [project.urls] Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation-genai/opentelemetry-instrumentation-langchain" Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib" diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/__init__.py index e69de29bb2..1b135d883f 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/__init__.py @@ -0,0 +1,122 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Langchain instrumentation supporting `ChatOpenAI` and `ChatBedrock`, it can be enabled by +using ``LangChainInstrumentor``. Other providers/LLMs may be supported in the future and telemetry for them is skipped for now. + +Usage +----- +.. code:: python + from opentelemetry.instrumentation.langchain import LangChainInstrumentor + from langchain_core.messages import HumanMessage, SystemMessage + from langchain_openai import ChatOpenAI + + LangChainInstrumentor().instrument() + llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0, max_tokens=1000) + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + result = llm.invoke(messages) + LangChainInstrumentor().uninstrument() + +API +--- +""" + +from typing import Any, Callable, Collection + +from langchain_core.callbacks import BaseCallbackHandler # type: ignore +from wrapt import wrap_function_wrapper # type: ignore + +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor +from opentelemetry.instrumentation.langchain.callback_handler import ( + OpenTelemetryLangChainCallbackHandler, +) +from opentelemetry.instrumentation.langchain.package import _instruments +from opentelemetry.instrumentation.langchain.version import __version__ +from opentelemetry.instrumentation.utils import unwrap +from opentelemetry.semconv.schemas import Schemas +from opentelemetry.trace import get_tracer + + +class LangChainInstrumentor(BaseInstrumentor): + """ + OpenTelemetry instrumentor for LangChain. + This adds a custom callback handler to the LangChain callback manager + to capture LLM telemetry. + """ + + def __init__( + self, + ): + super().__init__() + + def instrumentation_dependencies(self) -> Collection[str]: + return _instruments + + def _instrument(self, **kwargs: Any): + """ + Enable Langchain instrumentation. + """ + tracer_provider = kwargs.get("tracer_provider") + tracer = get_tracer( + __name__, + __version__, + tracer_provider, + schema_url=Schemas.V1_37_0.value, + ) + + otel_callback_handler = OpenTelemetryLangChainCallbackHandler( + tracer=tracer, + ) + + wrap_function_wrapper( + module="langchain_core.callbacks", + name="BaseCallbackManager.__init__", + wrapper=_BaseCallbackManagerInitWrapper(otel_callback_handler), + ) + + def _uninstrument(self, **kwargs: Any): + """ + Cleanup instrumentation (unwrap). + """ + unwrap("langchain_core.callbacks.base.BaseCallbackManager", "__init__") + + +class _BaseCallbackManagerInitWrapper: + """ + Wrap the BaseCallbackManager __init__ to insert custom callback handler in the manager's handlers list. + """ + + def __init__( + self, callback_handler: OpenTelemetryLangChainCallbackHandler + ): + self._otel_handler = callback_handler + + def __call__( + self, + wrapped: Callable[..., None], + instance: BaseCallbackHandler, # type: ignore + args: tuple[Any, ...], + kwargs: dict[str, Any], + ): + wrapped(*args, **kwargs) + # Ensure our OTel callback is present if not already. + for handler in instance.inheritable_handlers: # type: ignore + if isinstance(handler, type(self._otel_handler)): + break + else: + instance.add_handler(self._otel_handler, inherit=True) # type: ignore diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/callback_handler.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/callback_handler.py new file mode 100644 index 0000000000..138eb311a2 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/callback_handler.py @@ -0,0 +1,224 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import annotations + +from typing import Any +from uuid import UUID + +from langchain_core.callbacks import BaseCallbackHandler # type: ignore +from langchain_core.messages import BaseMessage # type: ignore +from langchain_core.outputs import LLMResult # type: ignore + +from opentelemetry.instrumentation.langchain.span_manager import _SpanManager +from opentelemetry.semconv._incubating.attributes import ( + gen_ai_attributes as GenAI, +) +from opentelemetry.trace import Tracer + + +class OpenTelemetryLangChainCallbackHandler(BaseCallbackHandler): # type: ignore[misc] + """ + A callback handler for LangChain that uses OpenTelemetry to create spans for LLM calls and chains, tools etc,. in future. + """ + + def __init__( + self, + tracer: Tracer, + ) -> None: + super().__init__() # type: ignore + + self.span_manager = _SpanManager( + tracer=tracer, + ) + + def on_chat_model_start( + self, + serialized: dict[str, Any], + messages: list[list[BaseMessage]], # type: ignore + *, + run_id: UUID, + tags: list[str] | None, + parent_run_id: UUID | None, + metadata: dict[str, Any] | None, + **kwargs: Any, + ) -> None: + # Other providers/LLMs may be supported in the future and telemetry for them is skipped for now. + if serialized.get("name") not in ("ChatOpenAI", "ChatBedrock"): + return + + if "invocation_params" in kwargs: + params = ( + kwargs["invocation_params"].get("params") + or kwargs["invocation_params"] + ) + else: + params = kwargs + + request_model = "unknown" + for model_tag in ( + "model_name", # ChatOpenAI + "model_id", # ChatBedrock + ): + if (model := (params or {}).get(model_tag)) is not None: + request_model = model + break + elif (model := (metadata or {}).get(model_tag)) is not None: + request_model = model + break + + # Skip telemetry for unsupported request models + if request_model == "unknown": + return + + span = self.span_manager.create_chat_span( + run_id=run_id, + parent_run_id=parent_run_id, + request_model=request_model, + ) + + if params is not None: + top_p = params.get("top_p") + if top_p is not None: + span.set_attribute(GenAI.GEN_AI_REQUEST_TOP_P, top_p) + frequency_penalty = params.get("frequency_penalty") + if frequency_penalty is not None: + span.set_attribute( + GenAI.GEN_AI_REQUEST_FREQUENCY_PENALTY, frequency_penalty + ) + presence_penalty = params.get("presence_penalty") + if presence_penalty is not None: + span.set_attribute( + GenAI.GEN_AI_REQUEST_PRESENCE_PENALTY, presence_penalty + ) + stop_sequences = params.get("stop") + if stop_sequences is not None: + span.set_attribute( + GenAI.GEN_AI_REQUEST_STOP_SEQUENCES, stop_sequences + ) + seed = params.get("seed") + if seed is not None: + span.set_attribute(GenAI.GEN_AI_REQUEST_SEED, seed) + # ChatOpenAI + temperature = params.get("temperature") + if temperature is not None: + span.set_attribute( + GenAI.GEN_AI_REQUEST_TEMPERATURE, temperature + ) + # ChatOpenAI + max_tokens = params.get("max_completion_tokens") + if max_tokens is not None: + span.set_attribute(GenAI.GEN_AI_REQUEST_MAX_TOKENS, max_tokens) + + if metadata is not None: + provider = metadata.get("ls_provider") + if provider is not None: + span.set_attribute("gen_ai.provider.name", provider) + # ChatBedrock + temperature = metadata.get("ls_temperature") + if temperature is not None: + span.set_attribute( + GenAI.GEN_AI_REQUEST_TEMPERATURE, temperature + ) + # ChatBedrock + max_tokens = metadata.get("ls_max_tokens") + if max_tokens is not None: + span.set_attribute(GenAI.GEN_AI_REQUEST_MAX_TOKENS, max_tokens) + + def on_llm_end( + self, + response: LLMResult, # type: ignore [reportUnknownParameterType] + *, + run_id: UUID, + parent_run_id: UUID | None, + **kwargs: Any, + ) -> None: + span = self.span_manager.get_span(run_id) + + if span is None: + # If the span does not exist, we cannot set attributes or end it + return + + finish_reasons: list[str] = [] + for generation in getattr(response, "generations", []): # type: ignore + for chat_generation in generation: + generation_info = getattr( + chat_generation, "generation_info", None + ) + if generation_info is not None: + finish_reason = generation_info.get( + "finish_reason", "unknown" + ) + if finish_reason is not None: + finish_reasons.append(str(finish_reason)) + if chat_generation.message: + if ( + generation_info is None + and chat_generation.message.response_metadata + ): + finish_reason = ( + chat_generation.message.response_metadata.get( + "stopReason", "unknown" + ) + ) + if finish_reason is not None: + finish_reasons.append(str(finish_reason)) + if chat_generation.message.usage_metadata: + input_tokens = ( + chat_generation.message.usage_metadata.get( + "input_tokens", 0 + ) + ) + output_tokens = ( + chat_generation.message.usage_metadata.get( + "output_tokens", 0 + ) + ) + span.set_attribute( + GenAI.GEN_AI_USAGE_INPUT_TOKENS, input_tokens + ) + span.set_attribute( + GenAI.GEN_AI_USAGE_OUTPUT_TOKENS, output_tokens + ) + + span.set_attribute( + GenAI.GEN_AI_RESPONSE_FINISH_REASONS, finish_reasons + ) + + llm_output = getattr(response, "llm_output", None) # type: ignore + if llm_output is not None: + response_model = llm_output.get("model_name") or llm_output.get( + "model" + ) + if response_model is not None: + span.set_attribute( + GenAI.GEN_AI_RESPONSE_MODEL, str(response_model) + ) + + response_id = llm_output.get("id") + if response_id is not None: + span.set_attribute(GenAI.GEN_AI_RESPONSE_ID, str(response_id)) + + # End the LLM span + self.span_manager.end_span(run_id) + + def on_llm_error( + self, + error: BaseException, + *, + run_id: UUID, + parent_run_id: UUID | None, + **kwargs: Any, + ) -> None: + self.span_manager.handle_error(error, run_id) diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/span_manager.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/span_manager.py new file mode 100644 index 0000000000..636bfc3bc3 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/src/opentelemetry/instrumentation/langchain/span_manager.py @@ -0,0 +1,117 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from dataclasses import dataclass, field +from typing import Dict, List, Optional +from uuid import UUID + +from opentelemetry.semconv._incubating.attributes import ( + gen_ai_attributes as GenAI, +) +from opentelemetry.semconv.attributes import ( + error_attributes as ErrorAttributes, +) +from opentelemetry.trace import Span, SpanKind, Tracer, set_span_in_context +from opentelemetry.trace.status import Status, StatusCode + +__all__ = ["_SpanManager"] + + +@dataclass +class _SpanState: + span: Span + children: List[UUID] = field(default_factory=lambda: list()) + + +class _SpanManager: + def __init__( + self, + tracer: Tracer, + ) -> None: + self._tracer = tracer + + # Map from run_id -> _SpanState, to keep track of spans and parent/child relationships + # TODO: Use weak references or a TTL cache to avoid memory leaks in long-running processes. See #3735 + self.spans: Dict[UUID, _SpanState] = {} + + def _create_span( + self, + run_id: UUID, + parent_run_id: Optional[UUID], + span_name: str, + kind: SpanKind = SpanKind.INTERNAL, + ) -> Span: + if parent_run_id is not None and parent_run_id in self.spans: + parent_state = self.spans[parent_run_id] + parent_span = parent_state.span + ctx = set_span_in_context(parent_span) + span = self._tracer.start_span( + name=span_name, kind=kind, context=ctx + ) + parent_state.children.append(run_id) + else: + # top-level or missing parent + span = self._tracer.start_span(name=span_name, kind=kind) + set_span_in_context(span) + + span_state = _SpanState(span=span) + self.spans[run_id] = span_state + + return span + + def create_chat_span( + self, + run_id: UUID, + parent_run_id: Optional[UUID], + request_model: str, + ) -> Span: + span = self._create_span( + run_id=run_id, + parent_run_id=parent_run_id, + span_name=f"{GenAI.GenAiOperationNameValues.CHAT.value} {request_model}", + kind=SpanKind.CLIENT, + ) + span.set_attribute( + GenAI.GEN_AI_OPERATION_NAME, + GenAI.GenAiOperationNameValues.CHAT.value, + ) + if request_model: + span.set_attribute(GenAI.GEN_AI_REQUEST_MODEL, request_model) + + return span + + def end_span(self, run_id: UUID) -> None: + state = self.spans[run_id] + for child_id in state.children: + child_state = self.spans.get(child_id) + if child_state: + child_state.span.end() + del self.spans[child_id] + state.span.end() + del self.spans[run_id] + + def get_span(self, run_id: UUID) -> Optional[Span]: + state = self.spans.get(run_id) + return state.span if state else None + + def handle_error(self, error: BaseException, run_id: UUID): + span = self.get_span(run_id) + if span is None: + # If the span does not exist, we cannot set the error status + return + span.set_status(Status(StatusCode.ERROR, str(error))) + span.set_attribute( + ErrorAttributes.ERROR_TYPE, type(error).__qualname__ + ) + self.end_span(run_id) diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/cassettes/test_chat_openai_gpt_3_5_turbo_model_llm_call.yaml b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/cassettes/test_chat_openai_gpt_3_5_turbo_model_llm_call.yaml new file mode 100644 index 0000000000..c656b08d8f --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/cassettes/test_chat_openai_gpt_3_5_turbo_model_llm_call.yaml @@ -0,0 +1,157 @@ +interactions: +- request: + body: |- + { + "messages": [ + { + "content": "You are a helpful assistant!", + "role": "system" + }, + { + "content": "What is the capital of France?", + "role": "user" + } + ], + "model": "gpt-3.5-turbo", + "frequency_penalty": 0.5, + "max_completion_tokens": 100, + "presence_penalty": 0.5, + "seed": 100, + "stop": [ + "\n", + "Human:", + "AI:" + ], + "stream": false, + "temperature": 0.1, + "top_p": 0.9 + } + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + authorization: + - Bearer test_openai_api_key + connection: + - keep-alive + content-length: + - '316' + content-type: + - application/json + host: + - api.openai.com + user-agent: + - OpenAI/Python 1.106.1 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - python + x-stainless-os: + - MacOS + x-stainless-package-version: + - 1.106.1 + x-stainless-raw-response: + - 'true' + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.5 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: |- + { + "id": "chatcmpl-CCAQbtjsmG2294sQ6utRc16OQWeol", + "object": "chat.completion", + "created": 1757016057, + "model": "gpt-3.5-turbo-0125", + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": "The capital of France is Paris.", + "refusal": null, + "annotations": [] + }, + "logprobs": null, + "finish_reason": "stop" + } + ], + "usage": { + "prompt_tokens": 24, + "completion_tokens": 7, + "total_tokens": 31, + "prompt_tokens_details": { + "cached_tokens": 0, + "audio_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0, + "audio_tokens": 0, + "accepted_prediction_tokens": 0, + "rejected_prediction_tokens": 0 + } + }, + "service_tier": "default", + "system_fingerprint": null + } + headers: + CF-RAY: + - 97a01376ad4d2af1-LAX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Thu, 04 Sep 2025 20:00:57 GMT + Server: + - cloudflare + Set-Cookie: test_set_cookie + Strict-Transport-Security: + - max-age=31536000; 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Paris is known for its rich history, culture, and landmarks such as the Eiffel Tower, the Louvre Museum, and Notre-Dame Cathedral." + } + ], + "role": "assistant" + } + }, + "stopReason": "end_turn", + "usage": { + "inputTokens": 13, + "outputTokens": 50, + "totalTokens": 63 + } + } + headers: + Connection: + - keep-alive + Content-Length: + - '412' + Content-Type: + - application/json + Date: + - Thu, 04 Sep 2025 20:00:58 GMT + Set-Cookie: test_set_cookie + openai-organization: test_openai_org_id + x-amzn-RequestId: + - 9fd6d377-fc60-4b28-ab3b-a5c723b218c2 + status: + code: 200 + message: OK +version: 1 diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/conftest.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/conftest.py new file mode 100644 index 0000000000..df97ad0492 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/conftest.py @@ -0,0 +1,181 @@ +"""Unit tests configuration module.""" + +import json +import os + +import boto3 +import pytest +import yaml +from langchain_aws import ChatBedrock +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_openai import ChatOpenAI + +from opentelemetry.instrumentation.langchain import LangChainInstrumentor +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import SimpleSpanProcessor +from opentelemetry.sdk.trace.export.in_memory_span_exporter import ( + InMemorySpanExporter, +) + + +@pytest.fixture(scope="function", name="chat_openai_gpt_3_5_turbo_model") +def fixture_chat_openai_gpt_3_5_turbo_model(): + llm = ChatOpenAI( + model="gpt-3.5-turbo", + temperature=0.1, + max_tokens=100, + top_p=0.9, + frequency_penalty=0.5, + presence_penalty=0.5, + stop_sequences=["\n", "Human:", "AI:"], + seed=100, + ) + yield llm + + +@pytest.fixture(scope="function", name="us_amazon_nova_lite_v1_0") +def fixture_us_amazon_nova_lite_v1_0(): + llm_model_value = "us.amazon.nova-lite-v1:0" + llm = ChatBedrock( + model_id=llm_model_value, + client=boto3.client( + "bedrock-runtime", + aws_access_key_id="test_key", + aws_secret_access_key="test_secret", + region_name="us-west-2", + aws_account_id="test_account", + ), + provider="amazon", + temperature=0.1, + max_tokens=100, + ) + yield llm + + +@pytest.fixture(scope="function", name="gemini") +def fixture_gemini(): + llm_model_value = "gemini-2.5-pro" + llm = ChatGoogleGenerativeAI(model=llm_model_value, api_key="test_key") + yield llm + + +@pytest.fixture(scope="function", name="span_exporter") +def fixture_span_exporter(): + exporter = InMemorySpanExporter() + yield exporter + + +@pytest.fixture(scope="function", name="tracer_provider") +def fixture_tracer_provider(span_exporter): + provider = TracerProvider() + provider.add_span_processor(SimpleSpanProcessor(span_exporter)) + return provider + + +@pytest.fixture(scope="function") +def start_instrumentation( + tracer_provider, +): + instrumentor = LangChainInstrumentor() + instrumentor.instrument( + tracer_provider=tracer_provider, + ) + + yield instrumentor + instrumentor.uninstrument() + + +@pytest.fixture(autouse=True) +def environment(): + if not os.getenv("OPENAI_API_KEY"): + os.environ["OPENAI_API_KEY"] = "test_openai_api_key" + + +@pytest.fixture(scope="module") +def vcr_config(): + return { + "filter_headers": [ + ("cookie", "test_cookie"), + ("authorization", "Bearer test_openai_api_key"), + ("openai-organization", "test_openai_org_id"), + ("openai-project", "test_openai_project_id"), + ], + "decode_compressed_response": True, + "before_record_response": scrub_response_headers, + } + + +class LiteralBlockScalar(str): + """Formats the string as a literal block scalar, preserving whitespace and + without interpreting escape characters""" + + +def literal_block_scalar_presenter(dumper, data): + """Represents a scalar string as a literal block, via '|' syntax""" + return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|") + + +yaml.add_representer(LiteralBlockScalar, literal_block_scalar_presenter) + + +def process_string_value(string_value): + """Pretty-prints JSON or returns long strings as a LiteralBlockScalar""" + try: + json_data = json.loads(string_value) + return LiteralBlockScalar(json.dumps(json_data, indent=2)) + except (ValueError, TypeError): + if len(string_value) > 80: + return LiteralBlockScalar(string_value) + return string_value + + +def convert_body_to_literal(data): + """Searches the data for body strings, attempting to pretty-print JSON""" + if isinstance(data, dict): + for key, value in data.items(): + # Handle response body case (e.g., response.body.string) + if key == "body" and isinstance(value, dict) and "string" in value: + value["string"] = process_string_value(value["string"]) + + # Handle request body case (e.g., request.body) + elif key == "body" and isinstance(value, str): + data[key] = process_string_value(value) + + else: + convert_body_to_literal(value) + + elif isinstance(data, list): + for idx, choice in enumerate(data): + data[idx] = convert_body_to_literal(choice) + + return data + + +class PrettyPrintJSONBody: + """This makes request and response body recordings more readable.""" + + @staticmethod + def serialize(cassette_dict): + cassette_dict = convert_body_to_literal(cassette_dict) + return yaml.dump( + cassette_dict, default_flow_style=False, allow_unicode=True + ) + + @staticmethod + def deserialize(cassette_string): + return yaml.load(cassette_string, Loader=yaml.Loader) + + +@pytest.fixture(scope="module", autouse=True) +def fixture_vcr(vcr): + vcr.register_serializer("yaml", PrettyPrintJSONBody) + return vcr + + +def scrub_response_headers(response): + """ + This scrubs sensitive response headers. Note they are case-sensitive! + """ + response["headers"]["openai-organization"] = "test_openai_org_id" + response["headers"]["Set-Cookie"] = "test_set_cookie" + return response diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_llm_call.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_llm_call.py new file mode 100644 index 0000000000..a23d50753b --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_llm_call.py @@ -0,0 +1,166 @@ +from typing import Optional + +import pytest +from langchain_core.messages import HumanMessage, SystemMessage + +from opentelemetry.sdk.trace import ReadableSpan +from opentelemetry.semconv._incubating.attributes import gen_ai_attributes + + +# span_exporter, start_instrumentation, chat_openai_gpt_3_5_turbo_model are coming from fixtures defined in conftest.py +@pytest.mark.vcr() +def test_chat_openai_gpt_3_5_turbo_model_llm_call( + span_exporter, start_instrumentation, chat_openai_gpt_3_5_turbo_model +): + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + + response = chat_openai_gpt_3_5_turbo_model.invoke(messages) + assert response.content == "The capital of France is Paris." + + # verify spans + spans = span_exporter.get_finished_spans() + print(f"spans: {spans}") + for span in spans: + print(f"span: {span}") + print(f"span attributes: {span.attributes}") + assert_openai_completion_attributes(spans[0], response) + + +# span_exporter, start_instrumentation, us_amazon_nova_lite_v1_0 are coming from fixtures defined in conftest.py +@pytest.mark.vcr() +def test_us_amazon_nova_lite_v1_0_bedrock_llm_call( + span_exporter, start_instrumentation, us_amazon_nova_lite_v1_0 +): + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + + result = us_amazon_nova_lite_v1_0.invoke(messages) + + assert result.content.find("The capital of France is Paris") != -1 + + # verify spans + spans = span_exporter.get_finished_spans() + print(f"spans: {spans}") + for span in spans: + print(f"span: {span}") + print(f"span attributes: {span.attributes}") + # TODO: fix the code and ensure the assertions are correct + assert_bedrock_completion_attributes(spans[0], result) + + +# span_exporter, start_instrumentation, gemini are coming from fixtures defined in conftest.py +@pytest.mark.vcr() +def test_gemini(span_exporter, start_instrumentation, gemini): + messages = [ + SystemMessage(content="You are a helpful assistant!"), + HumanMessage(content="What is the capital of France?"), + ] + + result = gemini.invoke(messages) + + assert result.content.find("The capital of France is **Paris**") != -1 + + # verify spans + spans = span_exporter.get_finished_spans() + assert len(spans) == 0 # No spans should be created for gemini as of now + + +def assert_openai_completion_attributes( + span: ReadableSpan, response: Optional +): + assert span.name == "chat gpt-3.5-turbo" + assert span.attributes[gen_ai_attributes.GEN_AI_OPERATION_NAME] == "chat" + assert ( + span.attributes[gen_ai_attributes.GEN_AI_REQUEST_MODEL] + == "gpt-3.5-turbo" + ) + assert ( + span.attributes[gen_ai_attributes.GEN_AI_RESPONSE_MODEL] + == "gpt-3.5-turbo-0125" + ) + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_MAX_TOKENS] == 100 + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_TEMPERATURE] == 0.1 + assert span.attributes["gen_ai.provider.name"] == "openai" + assert gen_ai_attributes.GEN_AI_RESPONSE_ID in span.attributes + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_TOP_P] == 0.9 + assert ( + span.attributes[gen_ai_attributes.GEN_AI_REQUEST_FREQUENCY_PENALTY] + == 0.5 + ) + assert ( + span.attributes[gen_ai_attributes.GEN_AI_REQUEST_PRESENCE_PENALTY] + == 0.5 + ) + stop_sequences = span.attributes.get( + gen_ai_attributes.GEN_AI_REQUEST_STOP_SEQUENCES + ) + assert all(seq in ["\n", "Human:", "AI:"] for seq in stop_sequences) + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_SEED] == 100 + + input_tokens = response.response_metadata.get("token_usage").get( + "prompt_tokens" + ) + if input_tokens: + assert ( + input_tokens + == span.attributes[gen_ai_attributes.GEN_AI_USAGE_INPUT_TOKENS] + ) + else: + assert ( + gen_ai_attributes.GEN_AI_USAGE_INPUT_TOKENS not in span.attributes + ) + + output_tokens = response.response_metadata.get("token_usage").get( + "completion_tokens" + ) + if output_tokens: + assert ( + output_tokens + == span.attributes[gen_ai_attributes.GEN_AI_USAGE_OUTPUT_TOKENS] + ) + else: + assert ( + gen_ai_attributes.GEN_AI_USAGE_OUTPUT_TOKENS not in span.attributes + ) + + +def assert_bedrock_completion_attributes( + span: ReadableSpan, response: Optional +): + assert span.name == "chat us.amazon.nova-lite-v1:0" + assert span.attributes[gen_ai_attributes.GEN_AI_OPERATION_NAME] == "chat" + assert ( + span.attributes[gen_ai_attributes.GEN_AI_REQUEST_MODEL] + == "us.amazon.nova-lite-v1:0" + ) + + assert span.attributes["gen_ai.provider.name"] == "amazon_bedrock" + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_MAX_TOKENS] == 100 + assert span.attributes[gen_ai_attributes.GEN_AI_REQUEST_TEMPERATURE] == 0.1 + + input_tokens = response.usage_metadata.get("input_tokens") + if input_tokens: + assert ( + input_tokens + == span.attributes[gen_ai_attributes.GEN_AI_USAGE_INPUT_TOKENS] + ) + else: + assert ( + gen_ai_attributes.GEN_AI_USAGE_INPUT_TOKENS not in span.attributes + ) + + output_tokens = response.usage_metadata.get("output_tokens") + if output_tokens: + assert ( + output_tokens + == span.attributes[gen_ai_attributes.GEN_AI_USAGE_OUTPUT_TOKENS] + ) + else: + assert ( + gen_ai_attributes.GEN_AI_USAGE_OUTPUT_TOKENS not in span.attributes + ) diff --git a/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_span_manager.py b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_span_manager.py new file mode 100644 index 0000000000..69de5a7146 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-langchain/tests/test_span_manager.py @@ -0,0 +1,100 @@ +import unittest.mock +import uuid + +import pytest + +from opentelemetry.instrumentation.langchain.span_manager import ( + _SpanManager, + _SpanState, +) +from opentelemetry.trace import SpanKind, get_tracer +from opentelemetry.trace.span import Span + + +class TestSpanManager: + @pytest.fixture + def tracer(self): + return get_tracer("test_tracer") + + @pytest.fixture + def handler(self, tracer): + return _SpanManager(tracer=tracer) + + @pytest.mark.parametrize( + "parent_run_id,parent_in_spans", + [ + (None, False), # No parent + (uuid.uuid4(), False), # Parent not in spans + (uuid.uuid4(), True), # Parent in spans + ], + ) + def test_create_span( + self, handler, tracer, parent_run_id, parent_in_spans + ): + # Arrange + run_id = uuid.uuid4() + span_name = "test_span" + kind = SpanKind.INTERNAL + + mock_span = unittest.mock.Mock(spec=Span) + + # Setup parent if needed + if parent_run_id is not None and parent_in_spans: + parent_mock_span = unittest.mock.Mock(spec=Span) + handler.spans[parent_run_id] = _SpanState(span=parent_mock_span) + + with ( + unittest.mock.patch.object( + tracer, "start_span", return_value=mock_span + ) as mock_start_span, + unittest.mock.patch( + "opentelemetry.instrumentation.langchain.span_manager.set_span_in_context" + ) as mock_set_span_in_context, + ): + # Act + result = handler._create_span( + run_id, parent_run_id, span_name, kind + ) + + # Assert + assert result == mock_span + assert run_id in handler.spans + assert handler.spans[run_id].span == mock_span + + # Verify parent-child relationship + if parent_run_id is not None and parent_in_spans: + mock_set_span_in_context.assert_called_once_with( + handler.spans[parent_run_id].span + ) + mock_start_span.assert_called_once_with( + name=span_name, + kind=kind, + context=mock_set_span_in_context.return_value, + ) + assert run_id in handler.spans[parent_run_id].children + else: + mock_start_span.assert_called_once_with( + name=span_name, kind=kind + ) + mock_set_span_in_context.assert_called_once_with(mock_span) + + def test_end_span(self, handler): + # Arrange + run_id = uuid.uuid4() + mock_span = unittest.mock.Mock(spec=Span) + handler.spans[run_id] = _SpanState(span=mock_span) + + # Add a child to verify it's removed + child_run_id = uuid.uuid4() + child_mock_span = unittest.mock.Mock(spec=Span) + handler.spans[child_run_id] = _SpanState(span=child_mock_span) + handler.spans[run_id].children.append(child_run_id) + + # Act + handler.end_span(run_id) + + # Assert + mock_span.end.assert_called_once() + child_mock_span.end.assert_called_once() + assert run_id not in handler.spans + assert child_run_id not in handler.spans diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/.gitignore b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/.gitignore new file mode 100644 index 0000000000..639ef5d194 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/.gitignore @@ -0,0 +1,2 @@ +examples/.env +examples/openai_agents_multi_agent_travel/.env diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/= b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/= new file mode 100644 index 0000000000..e69de29bb2 diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md new file mode 100644 index 0000000000..2e1ed25ff8 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md @@ -0,0 +1,20 @@ +# Changelog + +## Unreleased + +### Added + +- Initial implementation of OpenAI Agents instrumentation +- Support for OpenAI API client tracing in agent frameworks +- Capture of request/response content and metrics +- Configuration options for content capture and metrics collection + +### Changed + +### Deprecated + +### Removed + +### Fixed + +### Security diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/LICENSE b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/LICENSE new file mode 100644 index 0000000000..d483259ea2 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/LICENSE @@ -0,0 +1,201 @@ +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst new file mode 100644 index 0000000000..c8df098d0c --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst @@ -0,0 +1,58 @@ +OpenTelemetry OpenAI Agents Instrumentation +========================================== + +|pypi| + +.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-openai-agents.svg + :target: https://pypi.org/project/opentelemetry-instrumentation-openai-agents/ + +This library allows tracing OpenAI Agents framework requests and logging of messages made by the +`OpenAI Python API library `_ when used with agent frameworks. +It also captures the duration of the operations and the number of tokens used as metrics. + +Installation +------------ + +:: + + pip install opentelemetry-instrumentation-openai-agents + +Dependency note +--------------- + +This instrumentation integrates with the OpenAI Agents framework via the +`openai-agent `_ package. Ensure +``openai-agent>=0.1.0`` is installed in environments where agent events are +emitted; otherwise, the instrumentor will load but skip processor setup. + +Usage +----- + +.. code:: python + + from openai import OpenAI + from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor + + OpenAIAgentsInstrumentor().instrument() + + # Your OpenAI agents code here + client = OpenAI() + +API +--- + +The `opentelemetry-instrumentation-openai-agents` package provides automatic instrumentation for the OpenAI Agents framework. + +Configuration +------------- + +The following environment variables can be used to configure the instrumentation: + +- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT``: Set to ``true`` to capture the content of the requests and responses. Default is ``false``. +- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS``: Set to ``true`` to capture metrics. Default is ``true``. + +References +---------- + +* `OpenTelemetry Project `_ +* `OpenAI Python API Library `_ diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml new file mode 100644 index 0000000000..756979a048 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml @@ -0,0 +1,46 @@ +groups: + - id: event.gen_ai.client.inference.operation.details + name: gen_ai.client.inference.operation.details + type: event + stability: development + brief: > + Describes the details of a GenAI completion request including chat history + and parameters. + note: > + This event is opt-in and could be used to store input and output details + independently from traces. + extends: attributes.gen_ai.inference.client + + - id: event.gen_ai.evaluation.result + name: gen_ai.evaluation.result + type: event + stability: development + brief: > + This event captures the result of evaluating GenAI output for quality, accuracy, or other characteristics. + This event SHOULD be parented to GenAI operation span being evaluated when possible + or set `gen_ai.response.id` when span id is not available. + attributes: + - ref: gen_ai.evaluation.name + requirement_level: required + - ref: gen_ai.evaluation.score.value + requirement_level: + conditionally_required: if applicable + - ref: gen_ai.evaluation.score.label + requirement_level: + conditionally_required: if applicable + - ref: gen_ai.evaluation.explanation + requirement_level: recommended + - ref: gen_ai.response.id + requirement_level: + recommended: when available + note: | + The unique identifier assigned to the specific + completion being evaluated. This attribute helps correlate the evaluation + event with the corresponding operation when span id is not available. + - ref: error.type + requirement_level: + conditionally_required: "if the operation ended in an error" + note: | + The `error.type` SHOULD match the error code returned by the Generative AI Evaluation provider or the client library, + the canonical name of exception that occurred, or another low-cardinality error identifier. + Instrumentations SHOULD document the list of errors they report. \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example new file mode 100644 index 0000000000..e67fa4b66a --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example @@ -0,0 +1,31 @@ +# OpenAI Agents Instrumentation Configuration Example +# =================================================== + +# Copy this file to your project and modify as needed +# Set these environment variables to configure the instrumentation + +# Enable/disable content capture (request/response bodies) +# Default: false + +# Standard OpenTelemetry configuration +# Set your service name +OTEL_SERVICE_NAME=my-openai-agents-service + +# Set your service version +OTEL_SERVICE_VERSION=1.0.0 + +# Set your resource attributes +OTEL_RESOURCE_ATTRIBUTES=service.name=my-openai-agents-service,service.version=1.0.0 + +# Configure exporters (example for OTLP) +# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 +# OTEL_EXPORTER_OTLP_HEADERS=api-key=your-api-key + +# Configure trace exporters +# OTEL_TRACES_EXPORTER=otlp + +# Configure metrics exporters +# OTEL_METRICS_EXPORTER=otlp + +# Configure logs exporters +# OTEL_LOGS_EXPORTER=otlp diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md new file mode 100644 index 0000000000..a65d2fc4aa --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md @@ -0,0 +1,59 @@ +# OpenAI Agents Instrumentation Examples + +This directory contains examples of how to use the OpenAI Agents instrumentation. + +## Files + +- `basic_usage.py` - Basic example showing how to enable and use the instrumentation +- `.env.example` - Example environment variables configuration + +## Basic Usage + +1. Install the package: + ```bash + pip install opentelemetry-instrumentation-openai-agents + ``` + +2. Set up your environment variables (copy `.env.example` to `.env` and modify as needed): + ```bash + cp .env.example .env + ``` + +3. Run the basic example: + ```bash + python basic_usage.py + ``` + +## Configuration + +The instrumentation can be configured using environment variables: + +- `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT` - Enable/disable content capture (default: false) +- `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS` - Enable/disable metrics collection (default: true) + +## Integration with Agent Frameworks + +This instrumentation is designed to work with OpenAI-based agent frameworks. Common use cases include: + +- Multi-agent systems +- Conversational AI applications +- Automated reasoning systems +- Task-oriented agents + +## Observability Features + +The instrumentation provides: + +- **Distributed tracing** - Track requests across agent interactions +- **Metrics collection** - Monitor token usage, latency, and error rates +- **Content capture** - Optional logging of request/response content +- **Error tracking** - Automatic error status recording + +## Security Considerations + +When enabling content capture, be aware that: + +- Request and response content may contain sensitive information +- Content is included in telemetry data +- Ensure your telemetry backend has appropriate security measures +- Consider data retention policies for captured content diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py new file mode 100644 index 0000000000..8d26bab29b --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py @@ -0,0 +1,218 @@ +################################ +# pip install git+https://github.com/singankit/opentelemetry-python-contrib.git@main#subdirectory=instrumentation-genai/opentelemetry-instrumentation-openai-agents +# pip install azure-monitor-opentelemetry openai-agents +################################# + + +from __future__ import annotations as _annotations + +import asyncio + +####################################### +import os +import random +import uuid + +from agents import ( + Agent, + HandoffOutputItem, + ItemHelpers, + MessageOutputItem, + RunContextWrapper, + Runner, + ToolCallItem, + ToolCallOutputItem, + TResponseInputItem, + function_tool, + handoff, + set_default_openai_client, + trace, +) +from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX +from azure.monitor.opentelemetry import configure_azure_monitor +from dotenv import load_dotenv +from openai import AsyncAzureOpenAI +from pydantic import BaseModel + +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) + +load_dotenv() + +configure_azure_monitor( + connection_string=os.environ["APPLICATION_INSIGHTS_CONNECTION_STRING"] +) + +OpenAIAgentsInstrumentor().instrument() + +custom_client = AsyncAzureOpenAI( + azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], + azure_deployment="gpt-4.1-mini", + api_version=os.environ["AZURE_OPENAI_API_VERSION"], + api_key=os.environ["AZURE_OPENAI_API_KEY"], +) + +set_default_openai_client(custom_client, use_for_tracing=False) + +####################################### + + +### CONTEXT + + +class AirlineAgentContext(BaseModel): + passenger_name: str | None = None + confirmation_number: str | None = None + seat_number: str | None = None + flight_number: str | None = None + + +### TOOLS + + +@function_tool( + name_override="faq_lookup_tool", + description_override="Lookup frequently asked questions.", +) +async def faq_lookup_tool(question: str) -> str: + if "bag" in question or "baggage" in question: + return ( + "You are allowed to bring one bag on the plane. " + "It must be under 50 pounds and 22 inches x 14 inches x 9 inches." + ) + elif "seats" in question or "plane" in question: + return ( + "There are 120 seats on the plane. " + "There are 22 business class seats and 98 economy seats. " + "Exit rows are rows 4 and 16. " + "Rows 5-8 are Economy Plus, with extra legroom. " + ) + elif "wifi" in question: + return "We have free wifi on the plane, join Airline-Wifi" + return "I'm sorry, I don't know the answer to that question." + + +@function_tool +async def update_seat( + context: RunContextWrapper[AirlineAgentContext], + confirmation_number: str, + new_seat: str, +) -> str: + """ + Update the seat for a given confirmation number. + + Args: + confirmation_number: The confirmation number for the flight. + new_seat: The new seat to update to. + """ + # Update the context based on the customer's input + context.context.confirmation_number = confirmation_number + context.context.seat_number = new_seat + # Ensure that the flight number has been set by the incoming handoff + assert ( + context.context.flight_number is not None + ), "Flight number is required" + return f"Updated seat to {new_seat} for confirmation number {confirmation_number}" + + +### HOOKS + + +async def on_seat_booking_handoff( + context: RunContextWrapper[AirlineAgentContext], +) -> None: + flight_number = f"FLT-{random.randint(100, 999)}" + context.context.flight_number = flight_number + + +### AGENTS + +faq_agent = Agent[AirlineAgentContext]( + name="FAQ Agent", + handoff_description="A helpful agent that can answer questions about the airline.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are an FAQ agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Identify the last question asked by the customer. + 2. Use the faq lookup tool to answer the question. Do not rely on your own knowledge. + 3. If you cannot answer the question, transfer back to the triage agent.""", + tools=[faq_lookup_tool], +) + +seat_booking_agent = Agent[AirlineAgentContext]( + name="Seat Booking Agent", + handoff_description="A helpful agent that can update a seat on a flight.", + instructions=f"""{RECOMMENDED_PROMPT_PREFIX} + You are a seat booking agent. If you are speaking to a customer, you probably were transferred to from the triage agent. + Use the following routine to support the customer. + # Routine + 1. Ask for their confirmation number. + 2. Ask the customer what their desired seat number is. + 3. Use the update seat tool to update the seat on the flight. + If the customer asks a question that is not related to the routine, transfer back to the triage agent. """, + tools=[update_seat], +) + +triage_agent = Agent[AirlineAgentContext]( + name="Triage Agent", + handoff_description="A triage agent that can delegate a customer's request to the appropriate agent.", + instructions=( + f"{RECOMMENDED_PROMPT_PREFIX} " + "You are a helpful triaging agent. You can use your tools to delegate questions to other appropriate agents." + ), + handoffs=[ + faq_agent, + handoff(agent=seat_booking_agent, on_handoff=on_seat_booking_handoff), + ], +) + +faq_agent.handoffs.append(triage_agent) +seat_booking_agent.handoffs.append(triage_agent) + + +### RUN + + +async def main(): + current_agent: Agent[AirlineAgentContext] = triage_agent + input_items: list[TResponseInputItem] = [] + context = AirlineAgentContext() + + # Normally, each input from the user would be an API request to your app, and you can wrap the request in a trace() + # Here, we'll just use a random UUID for the conversation ID + conversation_id = uuid.uuid4().hex[:16] + + while True: + user_input = input("Enter your message: ") + with trace("Customer service", group_id=conversation_id): + input_items.append({"content": user_input, "role": "user"}) + result = await Runner.run( + current_agent, input_items, context=context + ) + + for new_item in result.new_items: + agent_name = new_item.agent.name + if isinstance(new_item, MessageOutputItem): + print( + f"{agent_name}: {ItemHelpers.text_message_output(new_item)}" + ) + elif isinstance(new_item, HandoffOutputItem): + print( + f"Handed off from {new_item.source_agent.name} to {new_item.target_agent.name}" + ) + elif isinstance(new_item, ToolCallItem): + print(f"{agent_name}: Calling a tool") + elif isinstance(new_item, ToolCallOutputItem): + print(f"{agent_name}: Tool call output: {new_item.output}") + else: + print( + f"{agent_name}: Skipping item: {new_item.__class__.__name__}" + ) + input_items = result.to_input_list() + current_agent = result.last_agent + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py new file mode 100644 index 0000000000..9995d803a6 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py @@ -0,0 +1,267 @@ +"""OpenAI Agents + MCP HTTP example with full GenAI telemetry capture.""" + +from __future__ import annotations + +import asyncio +import logging +import os +from dataclasses import dataclass +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from agents import ( + Agent, + OpenAIChatCompletionsModel, + Runner, + set_tracing_disabled, +) +from agents.mcp.server import MCPServerStreamableHttp +from agents.model_settings import ModelSettings +from dotenv import load_dotenv + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig(level=logging.WARNING) + + +@dataclass +class _ApiConfig: + """Helper describing how to create the OpenAI client.""" + + build_client: Callable[[], openai.AsyncOpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Enable all GenAI capture toggles before instrumentation hooks.""" + + capture_defaults = { + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", + "OTEL_GENAI_CAPTURE_MESSAGES": "true", + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", + "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", + "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", + "OTEL_GENAI_AGENT_NAME": os.getenv( + "OTEL_GENAI_AGENT_NAME", "MCP Hotel Assistant" + ), + "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Agent orchestrator that uses MCP to find hotels matching user criteria", + ), + "OTEL_GENAI_AGENT_ID": os.getenv( + "OTEL_GENAI_AGENT_ID", "mcp-hotel-assistant" + ), + } + for env_key, value in capture_defaults.items(): + os.environ.setdefault(env_key, value) + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Return model/client configuration for the selected API host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AsyncAzureOpenAI: + return openai.AsyncAzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + if host == "ollama": + base_url = os.getenv( + "OLLAMA_BASE_URL", "http://localhost:11434/v1" + ).rstrip("/") + model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") + api_key = os.getenv("OLLAMA_API_KEY", "none") + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="self.hosted", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure the tracer provider and exporters.""" + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "mcp-hotel-finder-service", + "service.namespace": "mcp-orchestration", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found + AzureMonitorTraceExporter, + ) + except ImportError: # pragma: no cover - optional dependency + print( + "Warning: Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + print( + "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " + "Application Insights instead of the console", + ) + + trace.set_tracer_provider(tracer_provider) + + +api_config = _resolve_api_config() +_set_capture_env(api_config.provider, api_config.base_url) +_configure_otel() + +OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() +) + +client = api_config.build_client() + +set_tracing_disabled(False) + +mcp_server = MCPServerStreamableHttp( + name="weather", + params={"url": os.getenv("MCP_SERVER_URL", "http://localhost:8000/mcp/")}, +) + +agent = Agent( + name="Assistant", + instructions="Use the tools to achieve the task", + mcp_servers=[mcp_server], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), + model_settings=ModelSettings(tool_choice="required"), +) + + +def _root_span_name(provider: str) -> str: + return f"mcp_hotel_search[{provider}]" + + +async def main() -> None: + tracer = trace.get_tracer(__name__) + await mcp_server.connect() + try: + with tracer.start_as_current_span( + _root_span_name(api_config.provider) + ) as span: + message = ( + "Find me a hotel in San Francisco for 2 nights starting from 2024-01-01. " + "I need a hotel with free WiFi and a pool." + ) + + span.set_attribute("user.request", message) + span.set_attribute("mcp.server", mcp_server.name) + span.set_attribute("mcp.url", mcp_server.params.get("url")) + span.set_attribute("api.host", os.getenv("API_HOST", "github")) + span.set_attribute("model.name", api_config.model_name) + + try: + result = await Runner.run(starting_agent=agent, input=message) + print(result.final_output) + + span.set_attribute( + "agent.response", + result.final_output[:500] if result.final_output else "", + ) + span.set_attribute("request.success", True) + except Exception as exc: # pragma: no cover - defensive logging + span.record_exception(exc) + span.set_attribute("request.success", False) + raise + finally: + await mcp_server.cleanup() + + +if __name__ == "__main__": + try: + asyncio.run(main()) + finally: + trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py new file mode 100644 index 0000000000..a7d5ca2513 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py @@ -0,0 +1,273 @@ +from __future__ import annotations + +import asyncio +import logging +import os +from dataclasses import dataclass +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from agents import Agent, OpenAIChatCompletionsModel, Runner, function_tool +from agents.extensions.visualization import draw_graph +from dotenv import load_dotenv + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig(level=logging.WARNING) + + +@dataclass +class _ApiConfig: + """Helper structure for creating the OpenAI client.""" + + build_client: Callable[[], openai.AsyncOpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Enable all GenAI capture flags before instrumentation runs.""" + + capture_defaults = { + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", + "OTEL_GENAI_CAPTURE_MESSAGES": "true", + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", + "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", + "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", + "OTEL_GENAI_AGENT_NAME": os.getenv( + "OTEL_GENAI_AGENT_NAME", "Weather Orchestration Service" + ), + "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Multi-agent weather service routing requests to language-specific forecasters", + ), + "OTEL_GENAI_AGENT_ID": os.getenv( + "OTEL_GENAI_AGENT_ID", "weather-orchestrator" + ), + } + for env_key, value in capture_defaults.items(): + os.environ.setdefault(env_key, value) + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Create the Async OpenAI client builder for the configured host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AsyncAzureOpenAI: + return openai.AsyncAzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + if host == "ollama": + base_url = os.getenv( + "OLLAMA_BASE_URL", "http://localhost:11434/v1" + ).rstrip("/") + model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") + api_key = os.getenv("OLLAMA_API_KEY", "none") + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="self.hosted", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure OpenTelemetry exporters and tracer provider.""" + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "multi-agent-weather-service", + "service.namespace": "weather-orchestration", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found + AzureMonitorTraceExporter, + ) + except ImportError: # pragma: no cover - optional dependency + print( + "Warning: Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + print( + "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " + "Application Insights instead of the console", + ) + + trace.set_tracer_provider(tracer_provider) + + +api_config = _resolve_api_config() +_set_capture_env(api_config.provider, api_config.base_url) +_configure_otel() + +OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() +) + +client = api_config.build_client() + + +@function_tool +def get_weather(city: str) -> dict[str, object]: + return { + "city": city, + "temperature": 72, + "description": "Sunny", + } + + +spanish_agent = Agent( + name="Spanish agent", + instructions="You only speak Spanish.", + tools=[get_weather], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + +english_agent = Agent( + name="English agent", + instructions="You only speak English.", + tools=[get_weather], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + +triage_agent = Agent( + name="Triage agent", + instructions="Handoff to the appropriate agent based on the language of the request.", + handoffs=[spanish_agent, english_agent], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + + +def _root_span_name(provider: str) -> str: + return f"weather_service_request[{provider}]" + + +async def main() -> None: + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span( + _root_span_name(api_config.provider) + ) as span: + user_request = ( + "Hola, ¿cómo estás? ¿Puedes darme el clima para San Francisco CA?" + ) + + span.set_attribute("user.request", user_request) + span.set_attribute("api.host", os.getenv("API_HOST", "github")) + span.set_attribute("model.name", api_config.model_name) + + try: + result = await Runner.run(triage_agent, input=user_request) + print(result.final_output) + + span.set_attribute( + "agent.response", + result.final_output[:500] if result.final_output else "", + ) + span.set_attribute("request.success", True) + except Exception as exc: # pragma: no cover - defensive logging + span.record_exception(exc) + span.set_attribute("request.success", False) + raise + + +if __name__ == "__main__": + try: + draw_graph(triage_agent) + asyncio.run(main()) + finally: + trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example new file mode 100644 index 0000000000..7d8e94f0bc --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example @@ -0,0 +1,65 @@ +# ============================= +# OpenAI / Azure OpenAI Config +# ============================= +# Choose EITHER Azure OpenAI OR public OpenAI credentials. + +# --- Azure OpenAI (fill these if using Azure) --- +AZURE_OPENAI_ENDPOINT= +AZURE_OPENAI_API_KEY= +AZURE_OPENAI_DEPLOYMENT=gpt-4.1-mini +AZURE_OPENAI_API_VERSION=2024-08-01-preview + +# --- Public OpenAI (optional alternative) --- +OPENAI_API_KEY= +# Override model if desired (fallback in code is gpt-4o-mini) +OPENAI_MODEL= + +# ============================= +# Application Insights (optional) +# ============================= +# If provided, traces go to Azure Monitor via the connection string. +APPLICATIONINSIGHTS_CONNECTION_STRING= +# Legacy env name also supported +APPLICATION_INSIGHTS_CONNECTION_STRING= + +# ============================= +# OpenTelemetry OTLP Export (optional) +# ============================= +# Provide these to send data to another OTLP backend instead of (or in addition to) console. +# OTEL_EXPORTER_OTLP_ENDPOINT=https://example-otlp-endpoint +# OTEL_EXPORTER_OTLP_HEADERS=api-key=YOUR_KEY + +# ============================= +# Instrumentation Toggles +# ============================= +# Content & tool capture may increase data volume. Set to 'false' to disable. +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT=true +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_TOOL_IO=true +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_TOOL_DEFINITIONS=false +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS=true + +# ============================= +# Enhanced Planner Behavior +# ============================= +# When 1 (default), enhanced.py prompts interactively if the coordinator +# model returns clarifying questions instead of structured TripDetails. +# Set to 0 to force a hard error (useful for CI / non-interactive runs). +INTERACTIVE_TRIP_DETAILS=1 + +# Application Insights Query (Logs API via AAD) +APPLICATION_INSIGHTS_RESOURCE_ID= + +# Azure AD (if using LogsQueryClient) +AZURE_TENANT_ID= +AZURE_CLIENT_ID= +AZURE_CLIENT_SECRET= + +# Evaluation script toggles +EVAL_EMIT_OPERATION_DETAILS=1 +EVAL_EMIT_EVALUATIONS=1 +EVAL_VERIFICATION=1 +EVAL_THRESHOLD=3.0 +EVAL_LOOKBACK_MINS=30 +EVAL_MODEL_DEPLOYMENT= +EVAL_MODEL= +EVAL_MAX_MESSAGE_CHARS=20000 diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md new file mode 100644 index 0000000000..8463a03372 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md @@ -0,0 +1,256 @@ +# Multi-Agent Travel Planning (OpenAI Agents + OpenTelemetry) + +This folder now contains **two** illustrative examples of instrumented multi-agent travel planning using the OpenAI Agents API and OpenTelemetry: + +1. `multi_travel_planner.py` – A concise, faster single-agent orchestration that chains a few simple function tools (geocode / weather / cuisine). Good for a quick look at instrumentation wiring and a minimal trace. +2. `enhanced.py` – A richer, production-style multi‑agent workflow that mirrors a LangGraph style handoff pipeline (Coordinator → Flight → Hotel → Activity → Budget → Plan Synthesizer). It demonstrates structured outputs, tool usage, deterministic handoffs, OpenTelemetry spans, and interactive fallbacks when the model asks clarifying questions. + + +## Why the Enhanced Version? + +`enhanced.py` showcases patterns often needed in real systems: + +* Multiple cooperating specialist agents with explicit handoff definitions. +* Structured extraction via Pydantic (`TripDetails`, `FlightRecommendation`, etc.). +* Automatic tracing of each agent invocation and tool execution via `opentelemetry-instrumentation-openai-agents`. +* A resilient trip detail parsing layer (JSON parsing + heuristic extraction) and an **interactive fallback prompt flow** (so a model asking for missing info doesn’t crash the pipeline). +* Budget analysis + synthesis phase to create a cohesive final plan. +* Per‑agent model instances (can vary temperature / deployment) while retaining a single end‑to‑end workflow trace. + + +## Features Comparison + +| Capability | multi_travel_planner.py | enhanced.py | +|------------|-------------------------|-------------| +| Simple single pass | ✅ | ➖ (multi-step) | +| Deterministic multi-agent chain | ❌ | ✅ | +| Structured Pydantic outputs | Minimal | Extensive | +| Interactive fallback for missing details | ❌ | ✅ | +| Budget computation | ❌ | ✅ | +| Day-by-day itinerary synthesis | ❌ | ✅ | +| Rich span hierarchy | Basic | Deep (per agent + tools) | + + +## Quick Start (Both Scripts) + +```bash +cp .env.example .env # fill in Azure OpenAI endpoint, key, deployment +pip install -r requirements.txt +``` + +Ensure one of these is configured: + +* Azure: `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_DEPLOYMENT` +* or Public OpenAI: `OPENAI_API_KEY` and (optionally) `OPENAI_MODEL` + +Optional OpenTelemetry exporter vars (see `.env.example`): + +* `OTEL_EXPORTER_OTLP_ENDPOINT` +* `OTEL_EXPORTER_OTLP_HEADERS` +* Set instrumentation content capture toggles such as `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT=true` for message/tool IO. + +--- + +## Running the Simple Planner + +```bash +python multi_travel_planner.py --city "Paris" --date 2025-09-10 +``` + +--- + +## Running the Enhanced Multi-Agent Planner + +Interactive mode (default): + +```bash +python enhanced.py +``` + +You will be shown sample requests. Press Enter to accept a sample or paste your own natural language trip description. If the coordinator agent requests clarification (e.g., missing origin or dates), the script will prompt you to enter the missing fields. + +Non-interactive strict mode (fail instead of prompting): + +```bash +export INTERACTIVE_TRIP_DETAILS=0 +python enhanced.py +``` + +### Sample Natural Language Requests + +Copy these into the prompt (or just press Enter to use one automatically): + +* Business: “I need to plan a business trip to London for 3 days from Seattle, hotel near the financial district, efficient flights, budget around $3000.” +* Family: “Plan a family vacation to Paris for 2 adults and 2 children for 10 days next month. Museums, parks, family-friendly activities, about $8000 total.” +* Romantic: “Romantic anniversary trip to Tokyo for a week, luxury hotel, fine dining, up to $6000.” + +--- + +## Interactive Fallback Details (`enhanced.py`) + +If the coordinator LLM answer is a *clarifying question* rather than a structured JSON-like response, the script attempts: + +1. JSON parse (if the model returned JSON). +2. Heuristic extraction (regex for origin/destination/dates/duration/budget/trip type). +3. If still incomplete and `INTERACTIVE_TRIP_DETAILS != 0`, prompt you for the remaining fields. + +Disable this by setting `INTERACTIVE_TRIP_DETAILS=0` to force a hard error (useful in CI or automated evaluations). + +--- + +## Observability + +Both scripts rely on `OpenAIAgentsInstrumentor` which creates spans such as: + +* Root span: workflow invocation (`gen_ai.operation.name=invoke_agent`). +* Child spans: each agent call + each function tool execution (`execute_tool`). +* Attributes: model metadata, tool names, (optionally) message content and structured outputs. + +To view data: + +* Console exporter (default) prints spans to stdout. +* Set OTLP exporter variables to ship to Azure Monitor / another backend. + +--- + +## Extending `enhanced.py` + +Ideas: + +* Add real API-backed tools (live flights, hotels, weather) – instrumentation is unchanged. +* Introduce retry + guardrails (ask the model to reformat invalid structured output before falling back to manual input). +* Cache intermediate tool results for iterative refinement. +* Emit custom span events for milestones (e.g., “flights_selected”, “budget_locked”). + +--- + +## Troubleshooting + +| Issue | Possible Cause | Fix | +|-------|----------------|-----| +| Coordinator asks for origin/dates repeatedly | Insufficient initial prompt detail | Provide explicit origin, destination, ISO dates | +| ValueError about TripDetails in strict mode | Missing required fields & fallback disabled | Remove `INTERACTIVE_TRIP_DETAILS=0` or add details | +| No spans exported externally | OTLP env vars not set | Provide OTLP endpoint + headers or keep console export | +| Model name not found | Wrong deployment/model env | Check `AZURE_OPENAI_DEPLOYMENT` or `OPENAI_MODEL` | + +--- + +## Next Steps + +* Add more specialized tools (exchange rates, safety alerts, local transit). +* Integrate a vector store for preference memory across sessions. +* Emit custom OpenTelemetry events for major planning milestones. +* Package this example as a reusable reference for multi-agent orchestration + observability. + +--- +Happy exploring! Feel free to adapt `enhanced.py` to your own domain—any new agent or tool automatically participates in tracing once it flows through the `Runner` and instrumentation hooks. + +--- + +## Evaluation & Metrics (Trace Post-Processing) + +The script `evaluate_trace_agents.py` lets you retroactively score agent invocations captured in Application Insights (or any backend you forward spans to) and emit structured GenAI evaluation events. It targets spans where `gen_ai.operation.name=invoke_agent`. + +### Capabilities + +* Trace retrieval (REST or LogsQueryClient) for a given trace ID. +* Automatic identification of agent invocation spans. +* Extraction of input/output messages, tool call child spans, and tool definitions. +* Emission of two event types (aligned with draft semantic conventions): + * `gen_ai.client.inference.operation.details` + * `gen_ai.evaluation.result` +* Evaluation metrics (model-based when `azure-ai-evaluation` is installed, otherwise heuristics): + * IntentResolution + * ToolCallAccuracy (only if tool calls/definitions present) + * TaskAdherence +* Verification pass: optional re-query to confirm evaluation events ingestion. +* JSON artifact summarizing scores, averages, and pass rates. + +### Usage + +```bash +python evaluate_trace_agents.py --trace-id +# limit to specific invoke_agent span(s) +python evaluate_trace_agents.py --trace-id --span-id + +# Customize threshold & disable certain emissions +python evaluate_trace_agents.py --trace-id \ + --threshold 3.5 --no-operation-event +``` + +Output: `eval_.json` (unless `--output` supplied) and emitted events. + +### Key Environment Variables + +Query (choose one path): + +* REST: `APP_INSIGHTS_APP_ID`, `APPLICATION_INSIGHTS_API_KEY` +* Logs API (AAD): `APPLICATION_INSIGHTS_RESOURCE_ID`, plus Azure AD creds (tenant/client/secret or managed identity) + +Export / Emission: + +* `APPLICATIONINSIGHTS_CONNECTION_STRING` (or legacy `APPLICATION_INSIGHTS_CONNECTION_STRING`) +* `OTEL_EXPORTER_OTLP_ENDPOINT` (optional additional export) + +Evaluation Toggles / Config: + +* `EVAL_EMIT_OPERATION_DETAILS=1` +* `EVAL_EMIT_EVALUATIONS=1` +* `EVAL_VERIFICATION=1` +* `EVAL_THRESHOLD=3.0` +* `EVAL_LOOKBACK_MINS=30` +* `EVAL_MODEL_DEPLOYMENT` / `EVAL_MODEL` / `AZURE_OPENAI_DEPLOYMENT` +* `EVAL_MAX_MESSAGE_CHARS=20000` + +Azure OpenAI (for model-based evaluators): + +* `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_API_VERSION` + +### Events Emitted + +`gen_ai.client.inference.operation.details` (one per evaluated span, opt-in) + +* Includes request/response model metadata, input/output messages (truncated), system instructions, tool definitions, usage counts. + +`gen_ai.evaluation.result` (one per metric) + +* Attributes: `gen_ai.evaluation.name`, `.score.value`, `.score.label`, `.evaluation.explanation`, optional `gen_ai.response.id`, token usage, and `error.type` if applicable. + +### Heuristic vs Model-Based + +If `azure-ai-evaluation` is absent or Azure OpenAI credentials are missing, the script applies heuristics: + +* IntentResolution (heuristic): overlap of significant query tokens in the response. +* ToolCallAccuracy (heuristic): fraction of tool names mentioned in the final answer. +* TaskAdherence (heuristic): length/coverage based score. + +### Dependency Additions + +Add (if not already present) to `requirements.txt` for evaluation: + +```text +azure-monitor-query +azure-identity +requests +azure-ai-evaluation # optional; enables model-based metrics +``` + +(`opentelemetry-*`, `azure-monitor-opentelemetry-exporter`, and `python-dotenv` are already used by the main examples.) + +### Common Issues + +| Issue | Cause | Resolution | +|-------|-------|-----------| +| No rows returned | Wrong trace ID or outside time window | Increase `--hours`, confirm operation_Id | +| No invoke_agent spans found | Instrumentation disabled or different op name | Verify spans contain `gen_ai.operation.name=invoke_agent` | +| Evaluators fail | Missing Azure OpenAI creds | Set `AZURE_OPENAI_ENDPOINT` & `AZURE_OPENAI_API_KEY` | +| Events not verified | Ingestion delay | Re-run with larger `--hours` or more attempts | + +### Extending Evaluations + +* Add groundedness / factuality evaluators when available. +* Add RAG data source coverage metric (compare citations vs tool/data source IDs). +* Emit aggregate summary event (e.g., average score) for dashboards. +* Integrate pass/fail gating in CI by exiting nonzero when pass rate < threshold. + +--- diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py new file mode 100644 index 0000000000..e528eaa0ab --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py @@ -0,0 +1,1062 @@ +"""Enhanced Multi-Agent Travel Planning System using OpenAI Agents with OpenTelemetry instrumentation.""" + +import asyncio +import json +import os +import urllib.parse +import urllib.request +from datetime import datetime +from typing import Any, Dict, List, Optional +from uuid import uuid4 + +from dotenv import load_dotenv +from openai import AsyncAzureOpenAI, AsyncOpenAI +from pydantic import BaseModel, Field + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.instrumentation.openai_agents.genai_semantic_processor import ( + GenAISemanticProcessor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +try: + from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter +except ImportError: + AzureMonitorTraceExporter = None + +from agents import ( + Agent, + HandoffInputData, + OpenAIChatCompletionsModel, + Runner, + function_tool, + handoff, +) +from agents import ( + trace as agents_trace, +) +from agents.extensions import handoff_filters + +TRACER = trace.get_tracer(__name__) + +# Agent metadata constants +AGENT_VERSION = "1.0.0" +AGENT_SYSTEM_ID = "travel-planner-system" +AGENT_SYSTEM_NAME = "Enhanced Travel Planning System" + + +class TripDetails(BaseModel): + destination: str + origin: str + departure_date: str + return_date: str + travelers: int = Field(default=2, gt=0) + trip_type: str = Field(default="leisure") + budget: Optional[float] = None + preferences: List[str] = Field(default_factory=list) + + +class FlightRecommendation(BaseModel): + airline: str + flight_number: str + departure_time: str + arrival_time: str + price: float + duration: str + + +class HotelRecommendation(BaseModel): + name: str + rating: float + price_per_night: float + location: str + amenities: List[str] + + +class ActivityRecommendation(BaseModel): + name: str + category: str + duration: str + price: float + description: str + + +class BudgetAnalysis(BaseModel): + total_cost: float + per_person_cost: float + flight_cost: float + hotel_cost: float + activity_cost: float + meals_cost: float + miscellaneous: float + budget_category: str + + +class CompleteTravelPlan(BaseModel): + trip_summary: str + flights: List[FlightRecommendation] + hotels: List[HotelRecommendation] + activities: List[ActivityRecommendation] + budget: BudgetAnalysis + day_by_day_itinerary: Dict[str, List[str]] + important_notes: List[str] + + +def _configure_otel(session_id: str) -> GenAISemanticProcessor: + """Configure OpenTelemetry with GenAI semantic processor.""" + conn = os.getenv("APPLICATIONINSIGHTS_CONNECTION_STRING") or os.getenv( + "APPLICATION_INSIGHTS_CONNECTION_STRING" + ) + + resource = Resource.create( + { + "service.name": "openai-agents-enhanced-travel-planner", + "service.version": AGENT_VERSION, + "deployment.environment": os.getenv( + "DEPLOYMENT_ENV", "development" + ), + "service.instance.id": session_id, + "service.namespace": "travel-planning", + } + ) + + tp = TracerProvider(resource=resource) + + if conn and AzureMonitorTraceExporter: + tp.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + else: + tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) + + trace.set_tracer_provider(tp) + + tracer = trace.get_tracer( + "openai-agents-enhanced-travel-planner", + AGENT_VERSION, + schema_url="https://opentelemetry.io/schemas/1.27.0", + ) + + provider = "openai" + base_url = os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1") + + endpoint = os.getenv("AZURE_OPENAI_ENDPOINT", "") + if endpoint: + provider = "azure.ai.inference" + base_url = endpoint.rstrip("/") + for suffix in ("/openai", "/openai/v1", "/openai/v1/"): + if base_url.endswith(suffix): + base_url = base_url[: -len(suffix)] + break + + # Enhanced agent metadata with session-specific ID + agent_id = f"{AGENT_SYSTEM_ID}-{session_id[:8]}" + + genai_processor = GenAISemanticProcessor( + tracer=tracer, + event_logger=None, + system_name=provider, + include_sensitive_data=os.getenv( + "OTEL_GENAI_INCLUDE_SENSITIVE", "false" + ).lower() + == "true", + base_url=base_url, + emit_legacy=os.getenv("OTEL_GENAI_EMIT_LEGACY", "false").lower() + == "true", + agent_name=os.getenv("OTEL_GENAI_AGENT_NAME", AGENT_SYSTEM_NAME), + agent_id=os.getenv("OTEL_GENAI_AGENT_ID", agent_id), + agent_description=os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Multi-agent travel planning system with 6 specialized agents: Travel Coordinator, Flight Specialist, Hotel Specialist, Activity Specialist, Budget Analyst, and Plan Synthesizer", + ), + server_address=None, + server_port=None, + ) + + if os.getenv("ENABLE_GENAI_CAPTURE_ALL", "false").lower() == "true": + os.environ["OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS"] = "true" + os.environ["OTEL_GENAI_CAPTURE_MESSAGES"] = "true" + os.environ["OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS"] = "true" + + if os.getenv("OTEL_GENAI_METRICS_ENABLED", "true").lower() == "true": + os.environ["OTEL_GENAI_METRICS_ENABLED"] = "true" + + return genai_processor + + +def _build_async_client() -> AsyncOpenAI: + endpoint = os.getenv("AZURE_OPENAI_ENDPOINT", "") + key = os.getenv("AZURE_OPENAI_API_KEY") + api_version = os.getenv("AZURE_OPENAI_API_VERSION", "2024-08-01-preview") + public_key = os.getenv("OPENAI_API_KEY") + + if endpoint and key: + endpoint = endpoint.rstrip("/") + for suffix in ("/openai", "/openai/v1", "/openai/v1/"): + if endpoint.endswith(suffix): + endpoint = endpoint[: -len(suffix)] + break + return AsyncAzureOpenAI( + azure_endpoint=endpoint, + api_key=key, + api_version=api_version, + ) + elif public_key: + return AsyncOpenAI(api_key=public_key) + else: + raise SystemExit( + "Set AZURE_OPENAI_* or OPENAI_API_KEY environment variables" + ) + + +def _build_model( + client: AsyncOpenAI, temperature: float = 0.7 +) -> OpenAIChatCompletionsModel: + model_name = ( + os.getenv("AZURE_OPENAI_DEPLOYMENT") + or os.getenv("OPENAI_MODEL") + or "gpt-4o-mini" + ) + return OpenAIChatCompletionsModel( + model=model_name, + openai_client=client, + ) + + +def _http_json(url: str, timeout: float = 5.0) -> Dict[str, Any]: + try: + with urllib.request.urlopen(url, timeout=timeout) as resp: + return json.loads(resp.read().decode("utf-8")) + except Exception: + return {} + + +@function_tool +async def search_flights( + origin: str, + destination: str, + departure_date: str, + return_date: str, + travelers: int = 2, +) -> str: + flights_data = { + ("Seattle", "London"): [ + { + "airline": "British Airways", + "flight": "BA048", + "dep": "13:25", + "arr": "06:50+1", + "price": 875, + }, + { + "airline": "Delta", + "flight": "DL030", + "dep": "15:45", + "arr": "09:10+1", + "price": 925, + }, + { + "airline": "Virgin Atlantic", + "flight": "VS105", + "dep": "09:30", + "arr": "03:00+1", + "price": 810, + }, + ], + ("Seattle", "Paris"): [ + { + "airline": "Air France", + "flight": "AF367", + "dep": "12:40", + "arr": "07:55+1", + "price": 895, + }, + { + "airline": "Delta", + "flight": "DL166", + "dep": "14:20", + "arr": "09:35+1", + "price": 945, + }, + ], + ("Seattle", "Tokyo"): [ + { + "airline": "ANA", + "flight": "NH177", + "dep": "13:20", + "arr": "16:25+1", + "price": 1250, + }, + { + "airline": "Delta", + "flight": "DL167", + "dep": "12:49", + "arr": "15:55+1", + "price": 1320, + }, + ], + } + + key = (origin, destination) + flights = flights_data.get( + key, + [ + { + "airline": "Generic Air", + "flight": "GA001", + "dep": "10:00", + "arr": "22:00", + "price": 750, + } + ], + ) + + result = f"✈️ Found {len(flights)} round-trip flights from {origin} to {destination}:\n\n" + for i, flight in enumerate(flights, 1): + total_price = flight["price"] * travelers * 2 + result += f"{i}. {flight['airline']} {flight['flight']}\n" + result += f" Outbound {departure_date}: Depart {flight['dep']} → Arrive {flight['arr']}\n" + result += f" Return {return_date}: Similar times\n" + result += f" Price: ${total_price:,} total for {travelers} travelers (round-trip)\n\n" + + return result + + +@function_tool +async def search_hotels( + destination: str, check_in: str, check_out: str, travelers: int = 2 +) -> str: + hotels_data = { + "London": [ + { + "name": "The Langham", + "rating": 5, + "price": 450, + "location": "Regent Street", + "amenities": [ + "Spa", + "Fitness Center", + "Restaurant", + "Business Center", + "Concierge", + ], + }, + { + "name": "Premier Inn London County Hall", + "rating": 4, + "price": 155, + "location": "Westminster", + "amenities": [ + "WiFi", + "Restaurant", + "24-hour Reception", + "Air Conditioning", + ], + }, + { + "name": "The Zetter Townhouse", + "rating": 4.5, + "price": 285, + "location": "Marylebone", + "amenities": [ + "Boutique", + "Bar", + "WiFi", + "Room Service", + "Unique Decor", + ], + }, + ], + "Paris": [ + { + "name": "Hôtel Plaza Athénée", + "rating": 5, + "price": 850, + "location": "Avenue Montaigne", + "amenities": [ + "Michelin Restaurant", + "Spa", + "Designer Rooms", + "Eiffel Tower View", + ], + }, + { + "name": "Hotel Malte Opera", + "rating": 4, + "price": 220, + "location": "Opera District", + "amenities": [ + "Central Location", + "WiFi", + "Breakfast", + "Concierge", + ], + }, + ], + "Tokyo": [ + { + "name": "Park Hyatt Tokyo", + "rating": 5, + "price": 680, + "location": "Shinjuku", + "amenities": [ + "City Views", + "Pool", + "Spa", + "Multiple Restaurants", + "Gym", + ], + }, + { + "name": "Hotel Gracery Shinjuku", + "rating": 4, + "price": 180, + "location": "Shinjuku", + "amenities": [ + "Godzilla View", + "Restaurant", + "WiFi", + "Central Location", + ], + }, + ], + } + + hotels = hotels_data.get( + destination, + [ + { + "name": "Standard Hotel", + "rating": 3.5, + "price": 150, + "location": "City Center", + "amenities": ["WiFi", "Breakfast", "24-hour Reception"], + } + ], + ) + + from datetime import datetime + + nights = ( + datetime.fromisoformat(check_out) - datetime.fromisoformat(check_in) + ).days + + result = f"🏨 Found {len(hotels)} hotels in {destination} for {nights} nights:\n\n" + for i, hotel in enumerate(hotels, 1): + total_price = ( + hotel["price"] * nights * (travelers // 2 + travelers % 2) + ) + result += f"{i}. {hotel['name']} ({hotel['rating']}⭐)\n" + result += f" Location: {hotel['location']}\n" + result += ( + f" Price: ${hotel['price']}/night (${total_price:,} total)\n" + ) + result += f" Amenities: {', '.join(hotel['amenities'][:3])}\n\n" + + return result + + +@function_tool +async def search_activities( + destination: str, trip_type: str = "leisure" +) -> str: + activities_data = { + "London": [ + { + "name": "British Museum Tour", + "category": "Cultural", + "duration": "3 hours", + "price": 0, + }, + { + "name": "Tower of London", + "category": "Historical", + "duration": "2-3 hours", + "price": 35, + }, + { + "name": "West End Theater Show", + "category": "Entertainment", + "duration": "2.5 hours", + "price": 85, + }, + { + "name": "Thames River Cruise", + "category": "Sightseeing", + "duration": "1 hour", + "price": 25, + }, + { + "name": "Harry Potter Studio Tour", + "category": "Entertainment", + "duration": "4 hours", + "price": 55, + }, + ], + "Paris": [ + { + "name": "Louvre Museum", + "category": "Cultural", + "duration": "3-4 hours", + "price": 20, + }, + { + "name": "Eiffel Tower Summit", + "category": "Sightseeing", + "duration": "2 hours", + "price": 35, + }, + { + "name": "Seine River Dinner Cruise", + "category": "Dining", + "duration": "2 hours", + "price": 120, + }, + { + "name": "Versailles Day Trip", + "category": "Historical", + "duration": "Full day", + "price": 45, + }, + ], + "Tokyo": [ + { + "name": "Senso-ji Temple", + "category": "Cultural", + "duration": "2 hours", + "price": 0, + }, + { + "name": "Robot Restaurant Show", + "category": "Entertainment", + "duration": "2 hours", + "price": 95, + }, + { + "name": "Mt. Fuji Day Trip", + "category": "Nature", + "duration": "Full day", + "price": 150, + }, + { + "name": "Sushi Making Class", + "category": "Culinary", + "duration": "3 hours", + "price": 85, + }, + ], + } + + activities = activities_data.get( + destination, + [ + { + "name": "City Walking Tour", + "category": "Sightseeing", + "duration": "2 hours", + "price": 30, + } + ], + ) + + if trip_type == "business": + activities = [ + a + for a in activities + if a["category"] in ["Dining", "Entertainment"] + ][:3] + elif trip_type == "family": + activities = [a for a in activities if a["price"] < 100][:4] + elif trip_type == "romantic": + activities = [ + a + for a in activities + if a["category"] in ["Dining", "Sightseeing", "Entertainment"] + ][:3] + + result = f"🎯 Top activities in {destination} for {trip_type} travel:\n\n" + for i, activity in enumerate(activities, 1): + result += f"{i}. {activity['name']}\n" + result += f" Category: {activity['category']} | Duration: {activity['duration']}\n" + result += f" Price: ${activity['price']} per person\n\n" + + return result + + +@function_tool +async def get_weather_forecast(destination: str, date: str) -> str: + weather_patterns = { + "London": { + "temp_high": 18, + "temp_low": 11, + "condition": "Partly cloudy", + "rain_chance": 40, + }, + "Paris": { + "temp_high": 22, + "temp_low": 14, + "condition": "Sunny", + "rain_chance": 20, + }, + "Tokyo": { + "temp_high": 26, + "temp_low": 19, + "condition": "Clear", + "rain_chance": 10, + }, + } + + weather = weather_patterns.get( + destination, + { + "temp_high": 20, + "temp_low": 12, + "condition": "Variable", + "rain_chance": 30, + }, + ) + + result = f"🌤️ Weather forecast for {destination} around {date}:\n" + result += ( + f"High: {weather['temp_high']}°C / Low: {weather['temp_low']}°C\n" + ) + result += f"Conditions: {weather['condition']}\n" + result += f"Chance of rain: {weather['rain_chance']}%" + + return result + + +@function_tool +async def analyze_trip_budget( + flight_cost: float, + hotel_cost: float, + activity_costs: List[float], + travelers: int, + nights: int, +) -> str: + total_activities = sum(activity_costs) * travelers + meal_cost_per_day = 60 + total_meals = meal_cost_per_day * nights * travelers + subtotal = flight_cost + hotel_cost + total_activities + total_meals + miscellaneous = subtotal * 0.15 + grand_total = subtotal + miscellaneous + per_person = grand_total / travelers + + if per_person < 1500: + category = "Budget-Friendly" + emoji = "💰" + elif per_person < 2500: + category = "Moderate" + emoji = "💵" + elif per_person < 4000: + category = "Premium" + emoji = "💎" + else: + category = "Luxury" + emoji = "👑" + + result = f"{emoji} Trip Budget Analysis - {category}\n" + result += "=" * 40 + "\n" + result += f"✈️ Flights: ${flight_cost:,.2f}\n" + result += f"🏨 Hotels ({nights} nights): ${hotel_cost:,.2f}\n" + result += f"🎯 Activities: ${total_activities:,.2f}\n" + result += f"🍽️ Meals: ${total_meals:,.2f}\n" + result += f"💼 Miscellaneous: ${miscellaneous:,.2f}\n" + result += "=" * 40 + "\n" + result += f"💵 Total: ${grand_total:,.2f}\n" + result += f"👤 Per Person: ${per_person:,.2f}\n" + + return result + + +def create_coordinator_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Travel Coordinator", + instructions="""Extract trip details (destination, dates, travelers, budget, preferences) and hand off to Flight Specialist.""", + model=model, + output_type=TripDetails, + ) + # Add metadata as custom attributes + agent.agent_id = f"coordinator-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_flight_specialist_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Flight Specialist", + handoff_description="Hand off to Flight Specialist to search for flights", + instructions="""Search for optimal flights and check weather. Hand off to Hotel Specialist.""", + model=model, + tools=[search_flights, get_weather_forecast], + ) + agent.agent_id = f"flight-specialist-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_hotel_specialist_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Hotel Specialist", + handoff_description="Hand off to Hotel Specialist to find accommodations", + instructions="""Search for suitable hotels. Hand off to Activity Specialist.""", + model=model, + tools=[search_hotels], + ) + agent.agent_id = f"hotel-specialist-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_activity_specialist_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Activity Specialist", + handoff_description="Hand off to Activity Specialist to plan activities", + instructions="""Research activities and attractions. Hand off to Budget Analyst.""", + model=model, + tools=[search_activities, get_weather_forecast], + ) + agent.agent_id = f"activity-specialist-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_budget_analyst_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Budget Analyst", + handoff_description="Hand off to Budget Analyst for cost analysis", + instructions="""Calculate total trip costs. Hand off to Plan Synthesizer.""", + model=model, + tools=[analyze_trip_budget], + ) + agent.agent_id = f"budget-analyst-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_plan_synthesizer_agent( + model: OpenAIChatCompletionsModel, session_id: str +) -> Agent: + agent = Agent( + name="Plan Synthesizer", + handoff_description="Hand off to Plan Synthesizer to create final plan", + instructions="""Create comprehensive travel plan with summary, flights, hotels, activities, budget, and itinerary.""", + model=model, + output_type=str, + ) + agent.agent_id = f"plan-synthesizer-{session_id[:8]}" + agent.agent_version = AGENT_VERSION + return agent + + +def create_handoff_chain(agents: Dict[str, Agent]) -> None: + def preserve_trip_details( + handoff_data: HandoffInputData, + ) -> HandoffInputData: + return handoff_data + + def summarize_for_budget( + handoff_data: HandoffInputData, + ) -> HandoffInputData: + return handoff_filters.remove_all_tools(handoff_data) + + agents["coordinator"].handoffs = [ + handoff( + agents["flight_specialist"], input_filter=preserve_trip_details + ) + ] + agents["flight_specialist"].handoffs = [ + handoff(agents["hotel_specialist"], input_filter=preserve_trip_details) + ] + agents["hotel_specialist"].handoffs = [ + handoff( + agents["activity_specialist"], input_filter=preserve_trip_details + ) + ] + agents["activity_specialist"].handoffs = [ + handoff(agents["budget_analyst"], input_filter=summarize_for_budget) + ] + agents["budget_analyst"].handoffs = [ + handoff(agents["plan_synthesizer"], input_filter=preserve_trip_details) + ] + + +async def run_travel_planning(user_request: str) -> str: + session_id = str(uuid4()) + + # Configure OpenTelemetry with session-specific ID + genai_processor = _configure_otel(session_id) + + # Set additional context via environment variables for this session + os.environ["OTEL_GENAI_CONVERSATION_ID"] = session_id + os.environ["OTEL_GENAI_SESSION_ID"] = session_id + + # Instrument with the GenAI processor + OpenAIAgentsInstrumentor().instrument(trace_processor=genai_processor) + + client = _build_async_client() + + # Create agents with session-specific IDs + agents = { + "coordinator": create_coordinator_agent( + _build_model(client, temperature=0.3), session_id + ), + "flight_specialist": create_flight_specialist_agent( + _build_model(client, temperature=0.5), session_id + ), + "hotel_specialist": create_hotel_specialist_agent( + _build_model(client, temperature=0.5), session_id + ), + "activity_specialist": create_activity_specialist_agent( + _build_model(client, temperature=0.7), session_id + ), + "budget_analyst": create_budget_analyst_agent( + _build_model(client, temperature=0.3), session_id + ), + "plan_synthesizer": create_plan_synthesizer_agent( + _build_model(client, temperature=0.5), session_id + ), + } + + create_handoff_chain(agents) + + with agents_trace(workflow_name=f"travel_planning_{session_id}"): + # Add span attributes for the workflow + with TRACER.start_as_current_span("travel_planning_workflow") as span: + span.set_attribute("workflow.session_id", session_id) + span.set_attribute("workflow.agent_count", len(agents)) + span.set_attribute( + "workflow.user_request", user_request[:200] + ) # Truncate for privacy + + coordinator_result = await Runner.run( + agents["coordinator"], user_request + ) + raw_trip_details = coordinator_result.final_output + + trip_details: Optional[TripDetails] = None + if isinstance(raw_trip_details, TripDetails): + trip_details = raw_trip_details + else: + parsed: Optional[Dict[str, Any]] = None + if isinstance(raw_trip_details, dict): + parsed = raw_trip_details + elif isinstance(raw_trip_details, str): + try: + parsed = json.loads(raw_trip_details) + except Exception: + import re + + text = raw_trip_details + + def _match(pattern: str) -> Optional[str]: + match = re.search( + pattern, text, flags=re.IGNORECASE + ) + if match: + return match.group(1).strip() + return None + + origin = _match( + r"from\s+([A-Za-z\s]+?)(?:\s+to|\.|,|\n)" + ) + destination = _match(r"to\s+([A-Za-z\s]+?)(?:\.|,|\n)") + dep = _match( + r"depart?(?:\s+date)?[:\-]?\s*(\d{4}-\d{2}-\d{2}|[A-Za-z]+\s+\d{1,2})" + ) + ret = _match( + r"return(?:\s+date)?[:\-]?\s*(\d{4}-\d{2}-\d{2}|[A-Za-z]+\s+\d{1,2})" + ) + travelers = _match( + r"(\d+)\s+(?:traveler|people|persons|adults|guests)" + ) + trip_type = _match( + r"(business|leisure|family|romantic|adventure|cultural)" + ) + budget = _match(r"\$?([0-9]{3,6})") + + def _normalize_date( + val: Optional[str], + ) -> Optional[str]: + if not val: + return None + if re.match(r"\d{4}-\d{2}-\d{2}", val): + return val + try: + dt = datetime.strptime( + val + " " + str(datetime.now().year), + "%B %d %Y", + ) + return dt.date().isoformat() + except Exception: + return None + + parsed = {} + if origin: + parsed["origin"] = origin.title() + if destination: + parsed["destination"] = destination.title() + if dep: + parsed["departure_date"] = ( + _normalize_date(dep) or dep + ) + if ret: + parsed["return_date"] = _normalize_date(ret) or ret + if travelers: + parsed["travelers"] = int(travelers) + if trip_type: + parsed["trip_type"] = trip_type.lower() + if budget: + parsed["budget"] = float(budget) + required = { + "origin", + "destination", + "departure_date", + "return_date", + } + if not required.issubset(parsed.keys()): + parsed = None + + if parsed: + try: + trip_details = TripDetails.model_validate(parsed) + except Exception: + trip_details = None + + if not trip_details: + raise ValueError( + f"Failed to extract trip details from: {raw_trip_details}" + ) + + # Add trip details to span + span.set_attribute("trip.destination", trip_details.destination) + span.set_attribute("trip.origin", trip_details.origin) + span.set_attribute("trip.travelers", trip_details.travelers) + span.set_attribute("trip.type", trip_details.trip_type) + + flight_prompt = f"""Find flights: + From: {trip_details.origin} To: {trip_details.destination} + Departure: {trip_details.departure_date} Return: {trip_details.return_date} + Travelers: {trip_details.travelers}""" + + flight_result = await Runner.run( + agents["flight_specialist"], + coordinator_result.to_input_list() + + [{"content": flight_prompt, "role": "user"}], + ) + + hotel_prompt = f"""Find hotels: + Destination: {trip_details.destination} + Check-in: {trip_details.departure_date} Check-out: {trip_details.return_date} + Travelers: {trip_details.travelers} Type: {trip_details.trip_type}""" + + hotel_result = await Runner.run( + agents["hotel_specialist"], + flight_result.to_input_list() + + [{"content": hotel_prompt, "role": "user"}], + ) + + prefs = ( + ", ".join(trip_details.preferences) + if trip_details.preferences + else "General" + ) + activity_prompt = f"""Plan activities: + Destination: {trip_details.destination} Type: {trip_details.trip_type} + Preferences: {prefs} Duration: {trip_details.departure_date} to {trip_details.return_date}""" + + activity_result = await Runner.run( + agents["activity_specialist"], + hotel_result.to_input_list() + + [{"content": activity_prompt, "role": "user"}], + ) + + dep_date = datetime.fromisoformat(trip_details.departure_date) + ret_date = datetime.fromisoformat(trip_details.return_date) + nights = (ret_date - dep_date).days + + budget_prompt = f"""Analyze budget: + Review flight, hotel, and activity costs above. + Travelers: {trip_details.travelers} Nights: {nights}""" + + budget_result = await Runner.run( + agents["budget_analyst"], + activity_result.to_input_list() + + [{"content": budget_prompt, "role": "user"}], + ) + + synthesis_prompt = f"""Create comprehensive travel plan from all findings. + Original request: {user_request} + Include: summary, flights, hotels, itinerary, budget, tips.""" + + final_result = await Runner.run( + agents["plan_synthesizer"], + budget_result.to_input_list() + + [{"content": synthesis_prompt, "role": "user"}], + ) + + span.set_attribute("workflow.status", "completed") + + return final_result.final_output + + +SAMPLE_REQUESTS = { + "business": "Business trip to London for 3 days from Seattle. Near financial district, efficient flights. Budget $3000.", + "family": "Family vacation to Paris for 2 adults and 2 children for 10 days next month. Museums, parks. Budget $8000.", + "romantic": "Romantic anniversary trip to Tokyo for 2 for a week. Luxury accommodations, fine dining. Budget $6000.", +} + + +async def main(): + load_dotenv() + + if not (os.getenv("AZURE_OPENAI_API_KEY") or os.getenv("OPENAI_API_KEY")): + print("Set AZURE_OPENAI_* or OPENAI_API_KEY environment variables") + return + + user_input = input( + "Describe your travel plans (or press Enter for sample): " + ).strip() + + if not user_input: + user_input = SAMPLE_REQUESTS["business"] + + try: + final_plan = await run_travel_planning(user_input) + print("\n" + "=" * 70) + print(final_plan) + print("=" * 70) + except Exception as e: + print(f"Error: {e}") + import traceback + + traceback.print_exc() + finally: + try: + trace.get_tracer_provider().force_flush() + except Exception: + pass + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt new file mode 100644 index 0000000000..13ed87505a --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt @@ -0,0 +1,24 @@ +python-dotenv +openai>=1.40.0 +openai-agents>=0.2.9 +pydantic>=2.7.0 + +# OpenTelemetry core & exporters +opentelemetry-api +opentelemetry-sdk +opentelemetry-exporter-otlp +azure-monitor-opentelemetry-exporter + +# Instrumentation for Agents API (install if published separately) +opentelemetry-instrumentation-openai-agents>=0.1.0 + +# For evaluation script +azure-monitor-query # If using LogsQueryClient mode +azure-identity # AAD auth for LogsQueryClient +requests # REST fallback querying +azure-ai-evaluation # (optional) rich evaluators +azure-monitor-opentelemetry-exporter +opentelemetry-api +opentelemetry-sdk +opentelemetry-exporter-otlp +python-dotenv diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py new file mode 100644 index 0000000000..df6c51a19f --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py @@ -0,0 +1,222 @@ +from __future__ import annotations + +import asyncio +import logging +import os +from dataclasses import dataclass +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from agents import Agent, OpenAIChatCompletionsModel, Runner +from dotenv import load_dotenv + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig(level=logging.WARNING) + + +@dataclass +class _ApiConfig: + """Container describing how to build the LLM client for the run.""" + + build_client: Callable[[], openai.AsyncOpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Opt into every GenAI content/metadata capture toggle.""" + + capture_defaults = { + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", + "OTEL_GENAI_CAPTURE_MESSAGES": "true", + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", + "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", + "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", + "OTEL_GENAI_AGENT_NAME": os.getenv( + "OTEL_GENAI_AGENT_NAME", "Spanish Tutor Agent" + ), + "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Conversational tutor that always replies in Spanish", + ), + "OTEL_GENAI_AGENT_ID": os.getenv( + "OTEL_GENAI_AGENT_ID", "spanish-tutor" + ), + } + for env_key, value in capture_defaults.items(): + os.environ.setdefault(env_key, value) + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Return the client factory/model for the configured API host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AsyncAzureOpenAI: + return openai.AsyncAzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + if host == "ollama": + base_url = os.getenv( + "OLLAMA_BASE_URL", "http://localhost:11434/v1" + ).rstrip("/") + model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") + api_key = os.getenv("OLLAMA_API_KEY", "none") + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="self.hosted", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure OpenTelemetry with Azure Monitor or console export.""" + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "spanish-tutor-app", + "service.namespace": "language-learning", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found + AzureMonitorTraceExporter, + ) + except ImportError: # pragma: no cover - optional dependency + print( + "Warning: Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + print( + "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " + "Application Insights instead of the console", + ) + + trace.set_tracer_provider(tracer_provider) + + +api_config = _resolve_api_config() +_set_capture_env(api_config.provider, api_config.base_url) +_configure_otel() + +# Instrument OpenAI Agents using the configured tracer provider +OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() +) + +client = api_config.build_client() + +agent = Agent( + name="Spanish tutor", + instructions="You are a Spanish tutor. Help the user learn Spanish. ONLY respond in Spanish.", + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + + +def _infer_span_name(provider: str) -> str: + return f"spanish_tutor_session[{provider}]" + + +async def main() -> None: + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span(_infer_span_name(api_config.provider)): + result = await Runner.run(agent, input="hi how are you?") + print(result.final_output) + + +if __name__ == "__main__": + try: + asyncio.run(main()) + finally: + trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py new file mode 100644 index 0000000000..c2c9e710da --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py @@ -0,0 +1,256 @@ +"""Weather lookup chatbot with full GenAI telemetry capture.""" + +from __future__ import annotations + +import logging +import os +from dataclasses import dataclass +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from dotenv import load_dotenv + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig(level=logging.WARNING) + + +@dataclass +class _ApiConfig: + """Helper describing how to construct the OpenAI client.""" + + build_client: Callable[[], openai.OpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Enable all GenAI capture toggles before instrumentation hooks.""" + + capture_defaults = { + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", + "OTEL_GENAI_CAPTURE_MESSAGES": "true", + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", + "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", + "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", + "OTEL_GENAI_AGENT_NAME": os.getenv( + "OTEL_GENAI_AGENT_NAME", "Weather Chatbot" + ), + "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Single-agent weather assistant that demonstrates tool calling", + ), + "OTEL_GENAI_AGENT_ID": os.getenv( + "OTEL_GENAI_AGENT_ID", "weather-chatbot" + ), + } + for key, value in capture_defaults.items(): + os.environ.setdefault(key, value) + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Return synchronous client configuration for the selected host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.OpenAI: + return openai.OpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AzureOpenAI: + return openai.AzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure tracer provider and exporters.""" + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "weather-chatbot-service", + "service.namespace": "weather-lookup", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found + AzureMonitorTraceExporter, + ) + except ImportError: # pragma: no cover - optional dependency + print( + "Warning: Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + print( + "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " + "Application Insights instead of the console", + ) + + trace.set_tracer_provider(tracer_provider) + + +def main() -> None: + api_config = _resolve_api_config() + _set_capture_env(api_config.provider, api_config.base_url) + _configure_otel() + + OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() + ) + + client = api_config.build_client() + + tools = [ + { + "type": "function", + "function": { + "name": "lookup_weather", + "description": "Lookup the weather for a given city name or zip code.", + "parameters": { + "type": "object", + "properties": { + "city_name": { + "type": "string", + "description": "The city name", + }, + "zip_code": { + "type": "string", + "description": "The zip code", + }, + }, + "additionalProperties": False, + }, + }, + } + ] + + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span( + f"weather_lookup_request[{api_config.provider}]" + ) as span: + user_query = "what is the weather in NYC?" + + span.set_attribute("user.query", user_query) + span.set_attribute("api.host", os.getenv("API_HOST", "github")) + span.set_attribute("model.name", api_config.model_name) + span.set_attribute("tool.count", len(tools)) + span.set_attribute( + "tool.names", [t["function"]["name"] for t in tools] + ) + + try: + response = client.chat.completions.create( + model=api_config.model_name, + messages=[ + {"role": "system", "content": "You're a weather chatbot"}, + {"role": "user", "content": user_query}, + ], + tools=tools, + ) + + print( + f"Response from {api_config.model_name} on {os.getenv('API_HOST', 'github')}:\n" + ) + + tool_calls = response.choices[0].message.tool_calls or [] + for index, message in enumerate(tool_calls): + print(message.function.name) + print(message.function.arguments) + span.set_attribute( + f"tool_call.{index}.name", message.function.name + ) + span.set_attribute( + f"tool_call.{index}.arguments", message.function.arguments + ) + span.set_attribute("tool_calls.count", len(tool_calls)) + span.set_attribute("request.success", True) + + except Exception as exc: # pragma: no cover - defensive logging + span.record_exception(exc) + span.set_attribute("request.success", False) + print(f"Error: {exc}") + raise + + trace.get_tracer_provider().shutdown() + + +if __name__ == "__main__": + main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py new file mode 100644 index 0000000000..53a6c1ba3c --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py @@ -0,0 +1,301 @@ +"""Weekend planner example with full GenAI telemetry capture.""" + +from __future__ import annotations + +import asyncio +import logging +import os +import random +from dataclasses import dataclass +from datetime import datetime +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from agents import ( + Agent, + OpenAIChatCompletionsModel, + Runner, + function_tool, + set_tracing_disabled, +) +from dotenv import load_dotenv +from rich.logging import RichHandler + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig( + level=logging.WARNING, + format="%(message)s", + datefmt="[%X]", + handlers=[RichHandler()], +) +logger = logging.getLogger("weekend_planner") + + +@dataclass +class _ApiConfig: + """Helper describing how to create the OpenAI client.""" + + build_client: Callable[[], openai.AsyncOpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Enable all GenAI capture toggles prior to instrumentation.""" + + capture_defaults = { + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", + "OTEL_GENAI_CAPTURE_MESSAGES": "true", + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", + "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", + "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", + "OTEL_GENAI_AGENT_NAME": os.getenv( + "OTEL_GENAI_AGENT_NAME", "Weekend Planner Agent" + ), + "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Assistant that plans weekend activities using weather and events data", + ), + "OTEL_GENAI_AGENT_ID": os.getenv( + "OTEL_GENAI_AGENT_ID", "weekend-planner" + ), + } + for env_key, value in capture_defaults.items(): + os.environ.setdefault(env_key, value) + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Return the client configuration for the requested host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AsyncAzureOpenAI: + return openai.AsyncAzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + if host == "ollama": + base_url = os.getenv( + "OLLAMA_ENDPOINT", "http://localhost:11434/v1" + ).rstrip("/") + model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") + api_key = os.getenv("OLLAMA_API_KEY", "none") + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="self.hosted", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure the tracer provider and exporters.""" + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "weekend-planner-service", + "service.namespace": "leisure-orchestration", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found + AzureMonitorTraceExporter, + ) + except ImportError: # pragma: no cover - optional dependency + print( + "Warning: Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + print( + "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " + "Application Insights instead of the console", + ) + + trace.set_tracer_provider(tracer_provider) + + +api_config = _resolve_api_config() +_set_capture_env(api_config.provider, api_config.base_url) +_configure_otel() + +OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() +) + +client = api_config.build_client() +set_tracing_disabled(False) + + +@function_tool +def get_weather(city: str) -> dict[str, object]: + logger.info("Getting weather for %s", city) + if random.random() < 0.05: + return { + "city": city, + "temperature": 72, + "description": "Sunny", + } + return { + "city": city, + "temperature": 60, + "description": "Rainy", + } + + +@function_tool +def get_activities(city: str, date: str) -> list[dict[str, object]]: + logger.info("Getting activities for %s on %s", city, date) + return [ + {"name": "Hiking", "location": city}, + {"name": "Beach", "location": city}, + {"name": "Museum", "location": city}, + ] + + +@function_tool +def get_current_date() -> str: + """Gets the current date and returns as YYYY-MM-DD.""" + logger.info("Getting current date") + return datetime.now().strftime("%Y-%m-%d") + + +agent = Agent( + name="Weekend Planner", + instructions=( + "You help users plan their weekends and choose the best activities for the given weather. " + "If an activity would be unpleasant in the weather, don't suggest it. Include the date of the weekend in your response." + ), + tools=[get_weather, get_activities, get_current_date], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + + +def _root_span_name(provider: str) -> str: + return f"weekend_planning_session[{provider}]" + + +async def main() -> None: + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span( + _root_span_name(api_config.provider) + ) as span: + user_request = "hii what can I do this weekend in Seattle?" + + span.set_attribute("user.request", user_request) + span.set_attribute("api.host", os.getenv("API_HOST", "github")) + span.set_attribute("model.name", api_config.model_name) + span.set_attribute("agent.name", agent.name) + span.set_attribute("target.city", "Seattle") + + try: + result = await Runner.run(agent, input=user_request) + print(result.final_output) + + span.set_attribute( + "agent.response", + result.final_output[:500] if result.final_output else "", + ) + span.set_attribute("request.success", True) + logger.info("Weekend planning completed successfully") + except Exception as exc: # pragma: no cover - defensive logging + span.record_exception(exc) + span.set_attribute("request.success", False) + logger.error("Error during weekend planning: %s", exc) + raise + + +if __name__ == "__main__": + logger.setLevel(logging.INFO) + try: + asyncio.run(main()) + finally: + trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml new file mode 100644 index 0000000000..4d22a9b4a7 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml @@ -0,0 +1,107 @@ +groups: + - id: metric_attributes.gen_ai + type: attribute_group + brief: 'This group describes GenAI metrics attributes' + attributes: + - ref: server.address + brief: GenAI server address. + requirement_level: recommended + - ref: server.port + brief: GenAI server port. + requirement_level: + conditionally_required: If `server.address` is set. + - ref: gen_ai.response.model + requirement_level: recommended + - ref: gen_ai.request.model + requirement_level: + conditionally_required: If available. + - ref: gen_ai.provider.name + requirement_level: required + - ref: gen_ai.operation.name + requirement_level: required + - id: metric_attributes.gen_ai.server + type: attribute_group + brief: 'This group describes GenAI server metrics attributes' + extends: metric_attributes.gen_ai + attributes: + - ref: error.type + requirement_level: + conditionally_required: "if the operation ended in an error" + note: | + The `error.type` SHOULD match the error code returned by the Generative AI service, + the canonical name of exception that occurred, or another low-cardinality error identifier. + Instrumentations SHOULD document the list of errors they report. + - id: metric_attributes.openai + type: attribute_group + brief: 'This group describes GenAI server metrics attributes' + attributes: + - ref: openai.response.service_tier + requirement_level: recommended + - ref: openai.response.system_fingerprint + requirement_level: recommended + - id: metric.gen_ai.client.token.usage + type: metric + metric_name: gen_ai.client.token.usage + annotations: + code_generation: + metric_value_type: int + brief: 'Number of input and output tokens used.' + instrument: histogram + unit: "{token}" + stability: development + extends: metric_attributes.gen_ai + attributes: + - ref: gen_ai.token.type + requirement_level: required + - id: metric.gen_ai.client.operation.duration + type: metric + metric_name: gen_ai.client.operation.duration + annotations: + code_generation: + metric_value_type: double + brief: 'GenAI operation duration.' + instrument: histogram + unit: "s" + stability: development + extends: metric_attributes.gen_ai + attributes: + - ref: error.type + requirement_level: + conditionally_required: "if the operation ended in an error" + note: | + The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, + the canonical name of exception that occurred, or another low-cardinality error identifier. + Instrumentations SHOULD document the list of errors they report. + - id: metric.gen_ai.server.request.duration + type: metric + metric_name: gen_ai.server.request.duration + annotations: + code_generation: + metric_value_type: double + brief: 'Generative AI server request duration such as time-to-last byte or last output token.' + instrument: histogram + unit: "s" + stability: development + extends: metric_attributes.gen_ai.server + - id: metric.gen_ai.server.time_per_output_token + type: metric + metric_name: gen_ai.server.time_per_output_token + annotations: + code_generation: + metric_value_type: double + brief: 'Time per output token generated after the first token for successful responses.' + instrument: histogram + unit: "s" + stability: development + extends: metric_attributes.gen_ai + - id: metric.gen_ai.server.time_to_first_token + type: metric + metric_name: gen_ai.server.time_to_first_token + annotations: + code_generation: + metric_value_type: double + brief: 'Time to generate first token for successful responses.' + instrument: histogram + unit: "s" + stability: development + extends: metric_attributes.gen_ai \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml new file mode 100644 index 0000000000..20bc4ed0ff --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -0,0 +1,55 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "opentelemetry-instrumentation-openai-agents" +dynamic = ["version"] +description = "OpenTelemetry OpenAI Agents instrumentation" +readme = "README.rst" +license = "Apache-2.0" +requires-python = ">=3.9" +authors = [ + { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" }, +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", +] +dependencies = [ + "opentelemetry-api ~= 1.30", + "opentelemetry-instrumentation ~= 0.51b0", + "opentelemetry-semantic-conventions ~= 0.51b0" +] + +[project.optional-dependencies] +instruments = [ + "openai >= 1.26.0", +] + +[project.entry-points.opentelemetry_instrumentor] +openai_agents = "opentelemetry.instrumentation.openai_agents:OpenAIAgentsInstrumentor" + +[project.urls] +Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation-genai/opentelemetry-instrumentation-openai-agents" +Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib" + +[tool.hatch.version] +path = "src/opentelemetry/instrumentation/openai_agents/version.py" + +[tool.hatch.build.targets.sdist] +include = [ + "/src", + "/tests", +] + +[tool.hatch.build.targets.wheel] +packages = ["src/opentelemetry"] diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml new file mode 100644 index 0000000000..557d50903b --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml @@ -0,0 +1,593 @@ +groups: + - id: registry.gen_ai + type: attribute_group + display_name: GenAI Attributes + brief: > + This document defines the attributes used to describe telemetry in the context of Generative Artificial Intelligence (GenAI) Models requests and responses. + attributes: + - id: gen_ai.provider.name + stability: development + type: + members: + - id: openai + stability: development + value: "openai" + brief: '[OpenAI](https://openai.com/)' + - id: gcp.gen_ai + stability: development + value: "gcp.gen_ai" + brief: "Any Google generative AI endpoint" + note: > + May be used when specific backend is unknown. + - id: gcp.vertex_ai + stability: development + value: "gcp.vertex_ai" + brief: "[Vertex AI](https://cloud.google.com/vertex-ai)" + note: > + Used when accessing the 'aiplatform.googleapis.com' endpoint. + - id: gcp.gemini + stability: development + value: "gcp.gemini" + brief: '[Gemini](https://cloud.google.com/products/gemini)' + note: > + Used when accessing the 'generativelanguage.googleapis.com' endpoint. + Also known as the AI Studio API. + - id: anthropic + stability: development + value: "anthropic" + brief: '[Anthropic](https://www.anthropic.com/)' + - id: cohere + stability: development + value: "cohere" + brief: '[Cohere](https://cohere.com/)' + - id: azure.ai.inference + stability: development + value: "azure.ai.inference" + brief: 'Azure AI Inference' + - id: azure.ai.openai + stability: development + value: "azure.ai.openai" + brief: '[Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/)' + - id: ibm.watsonx.ai + stability: development + value: "ibm.watsonx.ai" + brief: '[IBM Watsonx AI](https://www.ibm.com/products/watsonx-ai)' + - id: aws.bedrock + stability: development + value: "aws.bedrock" + brief: '[AWS Bedrock](https://aws.amazon.com/bedrock)' + - id: perplexity + stability: development + value: "perplexity" + brief: '[Perplexity](https://www.perplexity.ai/)' + - id: x_ai + stability: development + value: "x_ai" + brief: '[xAI](https://x.ai/)' + - id: deepseek + stability: development + value: "deepseek" + brief: '[DeepSeek](https://www.deepseek.com/)' + - id: groq + stability: development + value: "groq" + brief: '[Groq](https://groq.com/)' + - id: mistral_ai + stability: development + value: "mistral_ai" + brief: '[Mistral AI](https://mistral.ai/)' + + brief: The Generative AI provider as identified by the client + or server instrumentation. + note: | + The attribute SHOULD be set based on the instrumentation's best + knowledge and may differ from the actual model provider. + + Multiple providers, including Azure OpenAI, Gemini, and AI hosting platforms + are accessible using the OpenAI REST API and corresponding client libraries, + but may proxy or host models from different providers. + + The `gen_ai.request.model`, `gen_ai.response.model`, and `server.address` + attributes may help identify the actual system in use. + + The `gen_ai.provider.name` attribute acts as a discriminator that + identifies the GenAI telemetry format flavor specific to that provider + within GenAI semantic conventions. + It SHOULD be set consistently with provider-specific attributes and signals. + For example, GenAI spans, metrics, and events related to AWS Bedrock + should have the `gen_ai.provider.name` set to `aws.bedrock` and include + applicable `aws.bedrock.*` attributes and are not expected to include + `openai.*` attributes. + - id: gen_ai.request.model + stability: development + type: string + brief: The name of the GenAI model a request is being made to. + examples: 'gpt-4' + + - id: gen_ai.request.max_tokens + stability: development + type: int + brief: The maximum number of tokens the model generates for a request. + examples: [100] + - id: gen_ai.request.choice.count + stability: development + type: int + brief: The target number of candidate completions to return. + examples: [3] + - id: gen_ai.request.temperature + stability: development + type: double + brief: The temperature setting for the GenAI request. + examples: [0.0] + - id: gen_ai.request.top_p + stability: development + type: double + brief: The top_p sampling setting for the GenAI request. + examples: [1.0] + - id: gen_ai.request.top_k + stability: development + type: double + brief: The top_k sampling setting for the GenAI request. + examples: [1.0] + - id: gen_ai.request.stop_sequences + stability: development + type: string[] + brief: List of sequences that the model will use to stop generating further tokens. + examples: + - [forest, lived] + - id: gen_ai.request.frequency_penalty + stability: development + type: double + brief: The frequency penalty setting for the GenAI request. + examples: [0.1] + - id: gen_ai.request.presence_penalty + stability: development + type: double + brief: The presence penalty setting for the GenAI request. + examples: [0.1] + - id: gen_ai.request.encoding_formats + stability: development + type: string[] + brief: The encoding formats requested in an embeddings operation, if specified. + examples: + - ['base64'] + - ['float', 'binary'] + note: > + In some GenAI systems the encoding formats are called embedding types. + Also, some GenAI systems only accept a single format per request. + - id: gen_ai.request.seed + stability: development + type: int + brief: Requests with same seed value more likely to return same result. + examples: [100] + - id: gen_ai.response.id + stability: development + type: string + brief: The unique identifier for the completion. + examples: ['chatcmpl-123'] + - id: gen_ai.response.model + stability: development + type: string + brief: The name of the model that generated the response. + examples: ['gpt-4-0613'] + - id: gen_ai.response.finish_reasons + stability: development + type: string[] + brief: Array of reasons the model stopped generating tokens, corresponding to each generation received. + examples: + - [stop] + - [stop, length] + - id: gen_ai.usage.input_tokens + stability: development + type: int + brief: The number of tokens used in the GenAI input (prompt). + examples: [100] + - id: gen_ai.usage.output_tokens + stability: development + type: int + brief: The number of tokens used in the GenAI response (completion). + examples: [180] + - id: gen_ai.token.type + stability: development + type: + members: + - id: input + stability: development + value: "input" + brief: 'Input tokens (prompt, input, etc.)' + - id: completion + stability: development + value: "output" + deprecated: + reason: renamed + renamed_to: "output" + brief: 'Output tokens (completion, response, etc.)' + - id: output + stability: development + value: "output" + brief: 'Output tokens (completion, response, etc.)' + brief: The type of token being counted. + examples: ['input', 'output'] + - id: gen_ai.conversation.id + stability: development + type: string + brief: The unique identifier for a conversation (session, thread), used to store and correlate messages within this conversation. + examples: ["conv_5j66UpCpwteGg4YSxUnt7lPY"] + - id: gen_ai.agent.id + stability: development + type: string + brief: The unique identifier of the GenAI agent. + examples: ['asst_5j66UpCpwteGg4YSxUnt7lPY'] + - id: gen_ai.agent.name + stability: development + type: string + brief: Human-readable name of the GenAI agent provided by the application. + examples: ["Math Tutor", "Fiction Writer"] + - id: gen_ai.agent.description + stability: development + type: string + brief: Free-form description of the GenAI agent provided by the application. + examples: ["Helps with math problems", "Generates fiction stories"] + - id: gen_ai.tool.name + stability: development + type: string + brief: Name of the tool utilized by the agent. + examples: ["Flights"] + + - id: gen_ai.tool.call.id + stability: development + type: string + brief: The tool call identifier. + examples: ['call_mszuSIzqtI65i1wAUOE8w5H4'] + - id: gen_ai.tool.description + stability: development + type: string + brief: The tool description. + examples: ["Multiply two numbers"] + - id: gen_ai.tool.type + stability: development + type: string + brief: Type of the tool utilized by the agent + note: > + Extension: A tool executed on the agent-side to directly call external APIs, bridging the gap between the agent and real-world systems. + Agent-side operations involve actions that are performed by the agent on the server or within the agent's controlled environment. + Function: A tool executed on the client-side, where the agent generates parameters for a predefined function, and the client executes the logic. + Client-side operations are actions taken on the user's end or within the client application. + Datastore: A tool used by the agent to access and query structured or unstructured external data for retrieval-augmented tasks or knowledge updates. + examples: ['function', 'extension', 'datastore'] + + - id: gen_ai.tool.call.arguments + stability: development + type: any + brief: Parameters passed to the tool call. + note: | + > [!WARNING] + > This attribute may contain sensitive information. + + It's expected to be an object - in case a serialized string is available + to the instrumentation, the instrumentation SHOULD do the best effort to + deserialize it to an object. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. + examples: + - | + { + "location": "San Francisco?", + "date": "2025-10-01" + } + + - id: gen_ai.tool.call.result + stability: development + type: any + brief: The result returned by the tool call (if any and if execution was successful). + note: | + > [!WARNING] + > This attribute may contain sensitive information. + + It's expected to be an object - in case a serialized string is available + to the instrumentation, the instrumentation SHOULD do the best effort to + deserialize it to an object. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. + + examples: + - | + { + "temperature_range": { + "high": 75, + "low": 60 + }, + "conditions": "sunny" + } + + - id: gen_ai.tool.definitions + stability: development + type: any + brief: The list of source system tool definitions available to the GenAI agent or model. + note: | + The value of this attribute matches source system tool definition format. + + It's expected to be an array of objects where each object represents a tool definition. In case a serialized string is available + to the instrumentation, the instrumentation SHOULD do the best effort to + deserialize it to an array. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. + + Since this attribute could be large, it's NOT RECOMMENDED to populate + it by default. Instrumentations MAY provide a way to enable + populating this attribute. + examples: + - | + [ + { + "type": "function", + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": [ + "celsius", + "fahrenheit" + ] + } + }, + "required": [ + "location", + "unit" + ] + } + } + ] + + - id: gen_ai.data_source.id + stability: development + type: string + brief: The data source identifier. + note: > + Data sources are used by AI agents and RAG applications to store grounding data. + A data source may be an external database, object store, document collection, website, or any other storage system used by the GenAI agent or application. + The `gen_ai.data_source.id` SHOULD match the identifier used by the GenAI system rather than a name specific to the external storage, such as a database or + object store. Semantic conventions referencing `gen_ai.data_source.id` MAY also leverage additional attributes, such as `db.*`, to further identify and describe the data source. + examples: ['H7STPQYOND'] + - id: gen_ai.operation.name + stability: development + type: + members: + - id: chat + value: "chat" + brief: 'Chat completion operation such as [OpenAI Chat API](https://platform.openai.com/docs/api-reference/chat)' + stability: development + - id: generate_content + value: "generate_content" + brief: 'Multimodal content generation operation such as [Gemini Generate Content](https://ai.google.dev/api/generate-content)' + stability: development + - id: text_completion + value: "text_completion" + brief: 'Text completions operation such as [OpenAI Completions API (Legacy)](https://platform.openai.com/docs/api-reference/completions)' + stability: development + - id: embeddings + value: "embeddings" + brief: 'Embeddings operation such as [OpenAI Create embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create)' + stability: development + - id: create_agent + value: "create_agent" + brief: 'Create GenAI agent' + stability: development + - id: invoke_agent + value: "invoke_agent" + brief: 'Invoke GenAI agent' + stability: development + - id: execute_tool + value: "execute_tool" + brief: 'Execute a tool' + stability: development + brief: The name of the operation being performed. + note: > + If one of the predefined values applies, but specific system uses a different name it's RECOMMENDED to document it in the semantic + conventions for specific GenAI system and use system-specific name in the instrumentation. + If a different name is not documented, instrumentation libraries SHOULD use applicable predefined value. + - id: gen_ai.output.type + stability: development + type: + members: + - id: text + value: "text" + brief: 'Plain text' + stability: development + - id: json + value: "json" + brief: 'JSON object with known or unknown schema' + stability: development + - id: image + value: "image" + brief: 'Image' + stability: development + - id: speech + value: "speech" + brief: 'Speech' + stability: development + # we might need to record requested and actual output types on the same span/event + # at some point. In this case, we might need to add a new attribute. + # we may also need to record an array of types if multiple are requested/returned. + brief: Represents the content type requested by the client. + note: > + This attribute SHOULD be used when the client requests output of a + specific type. The model may return zero or more outputs of this type. + + This attribute specifies the output modality and not the actual output format. + For example, if an image is requested, the actual output could be a + URL pointing to an image file. + + Additional output format details may be recorded in the future in the + `gen_ai.output.{type}.*` attributes. + - id: gen_ai.embeddings.dimension.count + stability: development + type: int + brief: The number of dimensions the resulting output embeddings should have. + examples: [512, 1024] + - id: gen_ai.system_instructions + stability: development + type: any + brief: The system message or instructions provided to the GenAI model + separately from the chat history. + note: | + This attribute SHOULD be used when the corresponding provider or API + allows to provide system instructions or messages separately from the + chat history. + + Instructions that are part of the chat history SHOULD be recorded in + `gen_ai.input.messages` attribute instead. + + Instrumentations MUST follow [System instructions JSON schema](/docs/gen-ai/gen-ai-system-instructions.json). + + When recorded on spans, it MAY be recorded as a JSON string if structured + format is not supported and SHOULD be recorded in structured form otherwise. + + Instrumentations MAY provide a way for users to filter or truncate + system instructions. + + > [!Warning] + > This attribute may contain sensitive information. + + See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) + section for more details. + examples: + - | + [ + { + "type": "text", + "content": "You are an Agent that greet users, always use greetings tool to respond" + } + ] + - | + [ + { + "type": "text", + "content": "You are a language translator." + }, + { + "type": "text", + "content": "Your mission is to translate text in English to French." + } + ] + - id: gen_ai.input.messages + stability: development + type: any + brief: > + The chat history provided to the model as an input. + note: | + Instrumentations MUST follow [Input messages JSON schema](/docs/gen-ai/gen-ai-input-messages.json). + When the attribute is recorded on events, it MUST be recorded in structured + form. When recorded on spans, it MAY be recorded as a JSON string if structured + format is not supported and SHOULD be recorded in structured form otherwise. + + Messages MUST be provided in the order they were sent to the model. + Instrumentations MAY provide a way for users to filter or truncate + input messages. + + > [!Warning] + > This attribute is likely to contain sensitive information including user/PII data. + + See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) + section for more details. + examples: + - | + [ + { + "role": "user", + "parts": [ + { + "type": "text", + "content": "Weather in Paris?" + } + ] + }, + { + "role": "assistant", + "parts": [ + { + "type": "tool_call", + "id": "call_VSPygqKTWdrhaFErNvMV18Yl", + "name": "get_weather", + "arguments": { + "location": "Paris" + } + } + ] + }, + { + "role": "tool", + "parts": [ + { + "type": "tool_call_response", + "id": " call_VSPygqKTWdrhaFErNvMV18Yl", + "result": "rainy, 57°F" + } + ] + } + ] + - id: gen_ai.output.messages + stability: development + type: any + brief: Messages returned by the model where each message represents + a specific model response (choice, candidate). + note: | + Instrumentations MUST follow [Output messages JSON schema](/docs/gen-ai/gen-ai-output-messages.json) + + Each message represents a single output choice/candidate generated by + the model. Each message corresponds to exactly one generation + (choice/candidate) and vice versa - one choice cannot be split across + multiple messages or one message cannot contain parts from multiple choices. + + When the attribute is recorded on events, it MUST be recorded in structured + form. When recorded on spans, it MAY be recorded as a JSON string if structured + format is not supported and SHOULD be recorded in structured form otherwise. + + Instrumentations MAY provide a way for users to filter or truncate + output messages. + + > [!Warning] + > This attribute is likely to contain sensitive information including user/PII data. + + See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) + section for more details. + examples: + - | + [ + { + "role": "assistant", + "parts": [ + { + "type": "text", + "content": "The weather in Paris is currently rainy with a temperature of 57°F." + } + ], + "finish_reason": "stop" + } + ] + - id: gen_ai.evaluation.name + stability: development + type: string + brief: The name of the evaluation metric used for the GenAI response. + examples: ["Relevance", "IntentResolution"] + - id: gen_ai.evaluation.score.value + stability: development + type: double + brief: The evaluation score returned by the evaluator. + examples: [4.0] + - id: gen_ai.evaluation.score.label + stability: development + type: string + brief: Human readable label for evaluation. + examples: ["relevant", "not_relevant", "correct", "incorrect", "pass", "fail"] + note: > + This attribute provides a human-readable interpretation of the evaluation score produced by an evaluator. + For example, a score value of 1 could mean "relevant" in one evaluation system and "not relevant" in another, depending on the scoring range and evaluator. + The label SHOULD have low cardinality. + Possible values depend on the evaluation metric and evaluator used; implementations SHOULD document the possible values. + - id: gen_ai.evaluation.explanation + stability: development + type: string + brief: A free-form explanation for the assigned score provided by the evaluator. + examples: ["The response is factually accurate but lacks sufficient detail to fully address the question."] \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml new file mode 100644 index 0000000000..9a914fe5ee --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml @@ -0,0 +1,337 @@ +groups: + - id: attributes.gen_ai.common.client + type: attribute_group + stability: development + brief: > + Common attributes for all GenAI spans. + attributes: + - ref: gen_ai.request.model + requirement_level: + conditionally_required: If available. + note: > + The name of the GenAI model a request is being made to. If the model is supplied by a vendor, + then the value must be the exact name of the model requested. If the model is a fine-tuned + custom model, the value should have a more specific name than the base model that's been fine-tuned. + - ref: gen_ai.operation.name + requirement_level: required + - ref: server.address + brief: GenAI server address. + requirement_level: recommended + - ref: server.port + brief: GenAI server port. + requirement_level: + conditionally_required: If `server.address` is set. + - ref: error.type + requirement_level: + conditionally_required: "if the operation ended in an error" + note: | + The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, + the canonical name of exception that occurred, or another low-cardinality error identifier. + Instrumentations SHOULD document the list of errors they report. + + - id: attributes.gen_ai.inference.client + type: attribute_group + stability: development + brief: > + Describes GenAI inference attributes. + extends: attributes.gen_ai.common.client + attributes: + - ref: gen_ai.request.max_tokens + requirement_level: recommended + - ref: gen_ai.request.choice.count + requirement_level: + conditionally_required: if available, in the request, and !=1 + - ref: gen_ai.request.temperature + requirement_level: recommended + - ref: gen_ai.request.top_p + requirement_level: recommended + - ref: gen_ai.request.stop_sequences + requirement_level: recommended + - ref: gen_ai.request.frequency_penalty + requirement_level: recommended + - ref: gen_ai.request.presence_penalty + requirement_level: recommended + - ref: gen_ai.request.seed + requirement_level: + conditionally_required: if applicable and if the request includes a seed + - ref: gen_ai.output.type + requirement_level: + conditionally_required: when applicable and if the request includes an output format. + - ref: gen_ai.response.id + requirement_level: recommended + - ref: gen_ai.response.model + requirement_level: recommended + note: > + If available. The name of the GenAI model that provided the response. If the model is supplied by a vendor, + then the value must be the exact name of the model actually used. If the model is a + fine-tuned custom model, the value should have a more specific name than the base model that's been fine-tuned. + - ref: gen_ai.response.finish_reasons + requirement_level: recommended + - ref: gen_ai.usage.input_tokens + requirement_level: recommended + - ref: gen_ai.usage.output_tokens + requirement_level: recommended + - ref: gen_ai.conversation.id + requirement_level: + conditionally_required: when available + note: | + Instrumentations SHOULD populate conversation id when they have it readily available + for a given operation, for example: + + - when client framework being instrumented manages conversation history + (see [LlamaIndex chat store](https://docs.llamaindex.ai/en/stable/module_guides/storing/chat_stores/)) + + - when instrumenting GenAI client libraries that maintain conversation on the backend side + (see [AWS Bedrock agent sessions](https://docs.aws.amazon.com/bedrock/latest/userguide/agents-session-state.html), + [OpenAI Assistant threads](https://platform.openai.com/docs/api-reference/threads)) + + Application developers that manage conversation history MAY add conversation id to GenAI and other + spans or logs using custom span or log record processors or hooks provided by instrumentation + libraries. + + - ref: gen_ai.system_instructions + requirement_level: opt_in + - ref: gen_ai.input.messages + requirement_level: opt_in + - ref: gen_ai.output.messages + requirement_level: opt_in + - ref: gen_ai.tool.definitions + requirement_level: opt_in + + - id: span.gen_ai.inference.client + type: span + stability: development + span_kind: client + brief: > + This span represents a client call to Generative AI model or service that generates + a response or requests a tool call based on the input prompt. + note: | + **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. + Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format + and MUST follow the overall [guidelines for span names](https://github.com/open-telemetry/opentelemetry-specification/tree/v1.37.0/specification/trace/api.md#span). + + **Span kind** SHOULD be `CLIENT`and MAY be set to `INTERNAL` on spans representing + call to models running in the same process. It's RECOMMENDED to use `CLIENT` kind + when the GenAI system being instrumented usually runs in a different process than its + client or when the GenAI call happens over instrumented protocol such as HTTP. + extends: attributes.gen_ai.inference.client + attributes: + - ref: gen_ai.provider.name + # TODO: Not adding to common attributes because of https://github.com/open-telemetry/weaver/issues/479 + requirement_level: required + - ref: gen_ai.request.top_k + requirement_level: recommended + + - id: attributes.gen_ai.inference.openai_based + extends: attributes.gen_ai.inference.client + type: attribute_group + stability: development + brief: > + Describes attributes that are common to OpenAI-based Generative AI services. + attributes: + - ref: gen_ai.output.type + note: | + This attribute SHOULD be set to the output type requested by the client: + - `json` for structured outputs with defined or undefined schema + - `image` for image output + - `speech` for speech output + - `text` for plain text output + + The attribute specifies the output modality and not the actual output format. + For example, if an image is requested, the actual output could be a + URL pointing to an image file. + + Additional output format details may be recorded in the future in the + `gen_ai.output.{type}.*` attributes. + + - id: span.openai.inference.client + extends: attributes.gen_ai.inference.openai_based + stability: development + span_kind: client + type: span + brief: > + Semantic Conventions for [OpenAI](https://openai.com/) client spans extend + and override the semantic conventions for [Gen AI Spans](gen-ai-spans.md). + note: | + `gen_ai.provider.name` MUST be set to `"openai"` and SHOULD be provided **at span creation time**. + + **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. + attributes: + - ref: gen_ai.request.model + requirement_level: required + - ref: openai.request.service_tier + requirement_level: + conditionally_required: if the request includes a service_tier and the value is not 'auto' + - ref: openai.response.service_tier + requirement_level: + conditionally_required: if the response was received and includes a service_tier + - ref: openai.response.system_fingerprint + requirement_level: recommended + + - id: span.azure.ai.inference.client + extends: attributes.gen_ai.inference.openai_based + stability: development + type: span + span_kind: client + brief: > + Semantic Conventions for [Azure AI Inference](https://learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-api) + client spans extend and override the semantic conventions for [Gen AI Spans](gen-ai-spans.md). + note: | + `gen_ai.provider.name` MUST be set to `"azure.ai.inference"` and SHOULD be provided **at span creation time**. + + **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}` when the + model name is available and `{gen_ai.operation.name}` otherwise. + attributes: + - ref: azure.resource_provider.namespace + note: > + When `azure.resource_provider.namespace` attribute is populated, it MUST + be set to `Microsoft.CognitiveServices` for all operations performed by Azure AI Inference clients. + examples: ["Microsoft.CognitiveServices"] + - ref: gen_ai.usage.input_tokens + brief: > + The number of prompt tokens as reported in the usage prompt_tokens property of the response. + - ref: gen_ai.usage.output_tokens + brief: > + The number of completion tokens as reported in the usage completion_tokens property of the response. + - ref: server.port + requirement_level: + conditionally_required: If not default (443). + + - id: span.gen_ai.embeddings.client + type: span + span_kind: client + stability: development + brief: > + Describes GenAI embeddings span - a request to a Generative AI model or service + that generates an embeddings based on the input. + + The `gen_ai.operation.name` SHOULD be `embeddings`. + + **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. + extends: attributes.gen_ai.common.client + attributes: + - ref: gen_ai.request.encoding_formats + requirement_level: recommended + - ref: gen_ai.usage.input_tokens + requirement_level: recommended + - ref: gen_ai.embeddings.dimension.count + requirement_level: recommended + + - id: span.gen_ai.create_agent.client + type: span + stability: development + span_kind: client + brief: > + Describes GenAI agent creation and is usually applicable when working + with remote agent services. + note: | + The `gen_ai.operation.name` SHOULD be `create_agent`. + + **Span name** SHOULD be `create_agent {gen_ai.agent.name}`. + Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format. + extends: attributes.gen_ai.common.client + attributes: + - ref: gen_ai.provider.name + requirement_level: required + - ref: gen_ai.agent.id + requirement_level: + conditionally_required: if applicable. + - ref: gen_ai.agent.name + requirement_level: + conditionally_required: If provided by the application. + - ref: gen_ai.agent.description + requirement_level: + conditionally_required: If provided by the application. + - ref: gen_ai.system_instructions + requirement_level: opt_in + note: "" # note is not needed here + + + - id: span.gen_ai.invoke_agent.client + type: span + stability: development + span_kind: client + brief: > + Describes GenAI agent invocation and is usually applicable when working + with remote agent services. + note: | + The `gen_ai.operation.name` SHOULD be `invoke_agent`. + The **span name** SHOULD be `invoke_agent {gen_ai.agent.name}` if `gen_ai.agent.name` is readily available. + When `gen_ai.agent.name` is not available, it SHOULD be `invoke_agent`. + Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format. + extends: attributes.gen_ai.inference.client + attributes: + - ref: gen_ai.provider.name + requirement_level: required + - ref: gen_ai.agent.id + requirement_level: + conditionally_required: if applicable. + - ref: gen_ai.agent.name + requirement_level: + conditionally_required: when available + - ref: gen_ai.agent.description + requirement_level: + conditionally_required: when available + - ref: gen_ai.data_source.id + requirement_level: + conditionally_required: if applicable. + - ref: gen_ai.system_instructions + requirement_level: opt_in + - ref: gen_ai.input.messages + requirement_level: opt_in + - ref: gen_ai.output.messages + requirement_level: opt_in + + + - id: span.gen_ai.execute_tool.internal + type: span + stability: development + span_kind: internal + brief: Describes tool execution span. + note: | + `gen_ai.operation.name` SHOULD be `execute_tool`. + + **Span name** SHOULD be `execute_tool {gen_ai.tool.name}`. + + GenAI instrumentations that are able to instrument tool execution call SHOULD do so. + However, it's common for tools to be executed by the application code. It's recommended + for the application developers to follow this semantic convention for tools invoked + by the application code. + attributes: + - ref: gen_ai.operation.name + requirement_level: required + - ref: gen_ai.tool.name + requirement_level: recommended + - ref: gen_ai.tool.call.id + requirement_level: + recommended: if available + - ref: gen_ai.tool.description + requirement_level: + recommended: if available + - ref: gen_ai.tool.type + requirement_level: + recommended: if available + - ref: gen_ai.tool.call.arguments + requirement_level: opt_in + - ref: gen_ai.tool.call.result + requirement_level: opt_in + - ref: error.type + requirement_level: + conditionally_required: "if the operation ended in an error" + note: | + The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, + the canonical name of exception that occurred, or another low-cardinality error identifier. + Instrumentations SHOULD document the list of errors they report. + + - id: span.aws.bedrock.client + extends: span.gen_ai.inference.client + stability: development + span_kind: client + type: span + brief: > + Describes an AWS Bedrock operation span. + attributes: + - ref: aws.bedrock.guardrail.id + requirement_level: required + - ref: aws.bedrock.knowledge_base.id + requirement_level: recommended \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py new file mode 100644 index 0000000000..c3824af1b2 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -0,0 +1,128 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +OpenAI Agents instrumentation supporting `openai` in agent frameworks. +Enable with ``OpenAIAgentsInstrumentor``. + +.. _openai: https://pypi.org/project/openai/ + +Usage +----- + +.. code:: python + + from openai import OpenAI + from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, + ) + + OpenAIAgentsInstrumentor().instrument() + + # Your OpenAI agents code here + client = OpenAI() + +API +--- + +This instrumentation captures spans for OpenAI API calls made within +agent frameworks. +It provides detailed tracing information including: + +- Request and response content (if configured) +- Token usage metrics +- Model information +- Error handling + +Configuration +------------- + +Environment variables: + +- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT``: ``true`` to + capture request/response content (default ``false``). +- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS``: ``true`` to + capture metrics (default ``true``). +""" + +import logging +from typing import Collection + +from agents.tracing import add_trace_processor + +from opentelemetry._events import get_event_logger +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor +from opentelemetry.instrumentation.openai_agents.constants import ( + GenAIEvaluationAttributes, + GenAIOperationName, + GenAIOutputType, + GenAIProvider, + GenAIToolType, +) +from opentelemetry.instrumentation.openai_agents.package import _instruments +from opentelemetry.semconv.schemas import Schemas +from opentelemetry.trace import get_tracer + +logger = logging.getLogger(__name__) + + +class OpenAIAgentsInstrumentor(BaseInstrumentor): + """An instrumentor for OpenAI Agents frameworks.""" + + def _instrument(self, **kwargs): + """Instruments the OpenAI library for agent frameworks.""" + # TODO: Implement your instrumentation logic here + # This is a stub implementation - add your custom instrumentation code + + tracer_provider = kwargs.get("tracer_provider") + tracer = get_tracer( + __name__, + "", + tracer_provider, + schema_url=Schemas.V1_28_0.value, + ) + event_logger_provider = kwargs.get("event_logger_provider") + event_logger = get_event_logger( + __name__, + "", + schema_url=Schemas.V1_28_0.value, + event_logger_provider=event_logger_provider, + ) + + add_trace_processor( + GenAISemanticProcessor( + tracer=tracer, + event_logger=event_logger, + ) + ) + + # Expose constants via module attributes for convenience + globals().update( + { + "GenAIProvider": GenAIProvider, + "GenAIOperationName": GenAIOperationName, + "GenAIToolType": GenAIToolType, + "GenAIOutputType": GenAIOutputType, + "GenAIEvaluationAttributes": GenAIEvaluationAttributes, + } + ) + + def _uninstrument(self, **kwargs): + """Uninstruments the OpenAI library for agent frameworks.""" + # No-op: optional processor registry may not be present. + return + + def instrumentation_dependencies(self) -> Collection[str]: + """Return list of python packages with versions instrumented.""" + return _instruments diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py new file mode 100644 index 0000000000..8bc8ea56a9 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py @@ -0,0 +1,135 @@ +"""Centralized semantic convention constants for GenAI instrumentation. + +Consolidates provider names, operation names, tool types, output types, +evaluation attributes, and helper maps so other modules can import from +one place. Keeping strings in one module reduces drift as the spec evolves. +""" + +from __future__ import annotations + + +# Provider names (superset for forward compatibility) +class GenAIProvider: + OPENAI = "openai" + GCP_GEN_AI = "gcp.gen_ai" + GCP_VERTEX_AI = "gcp.vertex_ai" + GCP_GEMINI = "gcp.gemini" + ANTHROPIC = "anthropic" + COHERE = "cohere" + AZURE_AI_INFERENCE = "azure.ai.inference" + AZURE_AI_OPENAI = "azure.ai.openai" + IBM_WATSONX_AI = "ibm.watsonx.ai" + AWS_BEDROCK = "aws.bedrock" + PERPLEXITY = "perplexity" + X_AI = "x_ai" + DEEPSEEK = "deepseek" + GROQ = "groq" + MISTRAL_AI = "mistral_ai" + + ALL = { + OPENAI, + GCP_GEN_AI, + GCP_VERTEX_AI, + GCP_GEMINI, + ANTHROPIC, + COHERE, + AZURE_AI_INFERENCE, + AZURE_AI_OPENAI, + IBM_WATSONX_AI, + AWS_BEDROCK, + PERPLEXITY, + X_AI, + DEEPSEEK, + GROQ, + MISTRAL_AI, + } + + +class GenAIOperationName: + CHAT = "chat" + GENERATE_CONTENT = "generate_content" + TEXT_COMPLETION = "text_completion" + EMBEDDINGS = "embeddings" + CREATE_AGENT = "create_agent" + INVOKE_AGENT = "invoke_agent" + EXECUTE_TOOL = "execute_tool" + TRANSCRIPTION = "transcription" + SPEECH = "speech_generation" + GUARDRAIL = "guardrail_check" + HANDOFF = "agent_handoff" + RESPONSE = "response" # internal aggregator in current processor + + # Mapping of span data class (lower) to default op (heuristic) + CLASS_FALLBACK = { + "generationspan": CHAT, + "responsespan": RESPONSE, + "functionspan": EXECUTE_TOOL, + "agentspan": INVOKE_AGENT, + } + + +class GenAIOutputType: + TEXT = "text" + JSON = "json" + IMAGE = "image" + SPEECH = "speech" + # existing custom inference types retained for backward compatibility + + +class GenAIToolType: + FUNCTION = "function" + EXTENSION = "extension" + DATASTORE = "datastore" + + ALL = {FUNCTION, EXTENSION, DATASTORE} + + +class GenAIEvaluationAttributes: + NAME = "gen_ai.evaluation.name" + SCORE_VALUE = "gen_ai.evaluation.score.value" + SCORE_LABEL = "gen_ai.evaluation.score.label" + EXPLANATION = "gen_ai.evaluation.explanation" + + +# Complete list of GenAI semantic convention attribute keys +GEN_AI_PROVIDER_NAME = "gen_ai.provider.name" +GEN_AI_OPERATION_NAME = "gen_ai.operation.name" +GEN_AI_REQUEST_MODEL = "gen_ai.request.model" +GEN_AI_REQUEST_MAX_TOKENS = "gen_ai.request.max_tokens" +GEN_AI_REQUEST_TEMPERATURE = "gen_ai.request.temperature" +GEN_AI_REQUEST_TOP_P = "gen_ai.request.top_p" +GEN_AI_REQUEST_TOP_K = "gen_ai.request.top_k" +GEN_AI_REQUEST_FREQUENCY_PENALTY = "gen_ai.request.frequency_penalty" +GEN_AI_REQUEST_PRESENCE_PENALTY = "gen_ai.request.presence_penalty" +GEN_AI_REQUEST_CHOICE_COUNT = "gen_ai.request.choice.count" +GEN_AI_REQUEST_STOP_SEQUENCES = "gen_ai.request.stop_sequences" +GEN_AI_REQUEST_ENCODING_FORMATS = "gen_ai.request.encoding_formats" +GEN_AI_REQUEST_SEED = "gen_ai.request.seed" +GEN_AI_RESPONSE_ID = "gen_ai.response.id" +GEN_AI_RESPONSE_MODEL = "gen_ai.response.model" +GEN_AI_RESPONSE_FINISH_REASONS = "gen_ai.response.finish_reasons" +GEN_AI_USAGE_INPUT_TOKENS = "gen_ai.usage.input_tokens" +GEN_AI_USAGE_OUTPUT_TOKENS = "gen_ai.usage.output_tokens" +GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens" +GEN_AI_CONVERSATION_ID = "gen_ai.conversation.id" +GEN_AI_AGENT_ID = "gen_ai.agent.id" +GEN_AI_AGENT_NAME = "gen_ai.agent.name" +GEN_AI_AGENT_DESCRIPTION = "gen_ai.agent.description" +GEN_AI_TOOL_NAME = "gen_ai.tool.name" +GEN_AI_TOOL_TYPE = "gen_ai.tool.type" +GEN_AI_TOOL_CALL_ID = "gen_ai.tool.call.id" +GEN_AI_TOOL_DESCRIPTION = "gen_ai.tool.description" +GEN_AI_TOOL_CALL_ARGUMENTS = "gen_ai.tool.call.arguments" +GEN_AI_TOOL_CALL_RESULT = "gen_ai.tool.call.result" +GEN_AI_TOOL_DEFINITIONS = "gen_ai.tool.definitions" +GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS = "gen_ai.orchestrator.agent.definitions" +GEN_AI_OUTPUT_TYPE = "gen_ai.output.type" +GEN_AI_SYSTEM_INSTRUCTIONS = "gen_ai.system_instructions" +GEN_AI_INPUT_MESSAGES = "gen_ai.input.messages" +GEN_AI_OUTPUT_MESSAGES = "gen_ai.output.messages" +GEN_AI_GUARDRAIL_NAME = "gen_ai.guardrail.name" +GEN_AI_GUARDRAIL_TRIGGERED = "gen_ai.guardrail.triggered" +GEN_AI_HANDOFF_FROM_AGENT = "gen_ai.handoff.from_agent" +GEN_AI_HANDOFF_TO_AGENT = "gen_ai.handoff.to_agent" +GEN_AI_EMBEDDINGS_DIMENSION_COUNT = "gen_ai.embeddings.dimension.count" +GEN_AI_DATA_SOURCE_ID = "gen_ai.data_source.id" diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py new file mode 100644 index 0000000000..9780d1cdb6 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py @@ -0,0 +1,142 @@ +"""Event emission helpers for GenAI instrumentation. + +Provides thin wrappers around the OpenTelemetry event logger for +spec-defined GenAI events: + +- gen_ai.client.inference.operation.details +- gen_ai.evaluation.result (helper only; actual evaluation may happen + externally – e.g. offline evaluator script) + +Environment toggles: +- OTEL_GENAI_EMIT_OPERATION_DETAILS (default: true) +- OTEL_GENAI_EMIT_EVALUATION_RESULTS (default: true) +""" + +from __future__ import annotations + +import os +from typing import Any, Dict, Optional + +from opentelemetry._events import Event + +OP_DETAILS_EVENT = "gen_ai.client.inference.operation.details" +EVAL_RESULT_EVENT = "gen_ai.evaluation.result" + +_OP_DETAILS_ENABLED_ENV = "OTEL_GENAI_EMIT_OPERATION_DETAILS" +_EVAL_RESULTS_ENABLED_ENV = "OTEL_GENAI_EMIT_EVALUATION_RESULTS" + +# Attribute allowlist subset to avoid dumping huge blobs blindly. +# (Large content already controlled by capture-content env var.) +_OPERATION_DETAILS_CORE_KEYS = { + "gen_ai.provider.name", + "gen_ai.operation.name", + "gen_ai.request.model", + "gen_ai.response.id", + "gen_ai.response.model", + "gen_ai.usage.input_tokens", + "gen_ai.usage.output_tokens", + "gen_ai.usage.total_tokens", + "gen_ai.output.type", + "gen_ai.system_instructions", + "gen_ai.input.messages", + "gen_ai.output.messages", +} + +_MAX_VALUE_LEN = 4000 # defensive truncation + + +def _enabled(env_name: str, default_true: bool = True) -> bool: + raw = os.getenv(env_name) + if raw is None: + return default_true + return raw.lower() not in {"0", "false", "no"} + + +def emit_operation_details_event( + event_logger, + span_attributes: Dict[str, Any], + otel_span: Optional[Any] = None, +) -> None: + """Emit operation details event with span attributes. + + Args: + event_logger: The event logger instance + span_attributes: Dictionary of span attributes to include + otel_span: Optional OpenTelemetry span for context + """ + if not event_logger: + return + if not _enabled(_OP_DETAILS_ENABLED_ENV, True): + return + + attrs: Dict[str, Any] = {} + for k in _OPERATION_DETAILS_CORE_KEYS: + if k in span_attributes: + v = span_attributes[k] + if isinstance(v, str) and len(v) > _MAX_VALUE_LEN: + v = v[: _MAX_VALUE_LEN - 3] + "..." + attrs[k] = v + + if not attrs: + return + + try: + event_logger.emit( + Event( + name=OP_DETAILS_EVENT, + attributes=attrs, + ) + ) + except Exception: # pragma: no cover - defensive + pass + + +def emit_evaluation_result_event( + event_logger, + *, + name: str, + score_value: Optional[float] = None, + score_label: Optional[str] = None, + explanation: Optional[str] = None, + response_id: Optional[str] = None, + error_type: Optional[str] = None, +) -> None: + """Emit evaluation result event. + + Args: + event_logger: The event logger instance + name: Name of the evaluation metric + score_value: Numeric score value + score_label: Label for the score (e.g., "good", "bad") + explanation: Explanation of the evaluation + response_id: ID of the response being evaluated + error_type: Type of error if evaluation failed + """ + if not event_logger: + return + if not _enabled(_EVAL_RESULTS_ENABLED_ENV, True): + return + + attrs: Dict[str, Any] = {"gen_ai.evaluation.name": name} + if score_value is not None: + attrs["gen_ai.evaluation.score.value"] = float(score_value) + if score_label is not None: + attrs["gen_ai.evaluation.score.label"] = score_label + if explanation: + attrs["gen_ai.evaluation.explanation"] = ( + explanation[:4000] if len(explanation) > 4000 else explanation + ) + if response_id: + attrs["gen_ai.response.id"] = response_id + if error_type: + attrs["error.type"] = error_type + + try: + event_logger.emit( + Event( + name=EVAL_RESULT_EVENT, + attributes=attrs, + ) + ) + except Exception: # pragma: no cover - defensive + pass diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py new file mode 100644 index 0000000000..a9d10c842c --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -0,0 +1,1117 @@ +""" +GenAI Semantic Convention Trace Processor + +This module implements a custom trace processor that enriches spans with +OpenTelemetry GenAI semantic conventions attributes following the +OpenInference processor pattern. It adds standardized attributes for +generative AI operations using iterator-based attribute extraction. + +References: +- OpenTelemetry GenAI Semantic Conventions: + https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/ +- OpenInference Pattern: https://github.com/Arize-ai/openinference +""" + +from __future__ import annotations + +import json +import logging +import os +from datetime import datetime, timezone +from typing import TYPE_CHECKING, Any, Iterator, Optional, Sequence +from urllib.parse import urlparse + +from agents.tracing import Span, Trace, TracingProcessor +from agents.tracing.span_data import ( + AgentSpanData, + FunctionSpanData, + GenerationSpanData, + GuardrailSpanData, + HandoffSpanData, + ResponseSpanData, + SpeechSpanData, + TranscriptionSpanData, +) +from openai.types.responses import ( + ResponseOutputMessage, +) + +from opentelemetry.context import attach, detach +from opentelemetry.metrics import Histogram, get_meter +from opentelemetry.trace import Span as OtelSpan +from opentelemetry.trace import ( + SpanKind, + Status, + StatusCode, + Tracer, + set_span_in_context, +) +from opentelemetry.util.types import AttributeValue + +# Import all semantic convention constants +from .constants import ( + GEN_AI_AGENT_DESCRIPTION, + GEN_AI_AGENT_ID, + GEN_AI_AGENT_NAME, + GEN_AI_CONVERSATION_ID, + GEN_AI_DATA_SOURCE_ID, + GEN_AI_EMBEDDINGS_DIMENSION_COUNT, + GEN_AI_GUARDRAIL_NAME, + GEN_AI_GUARDRAIL_TRIGGERED, + GEN_AI_HANDOFF_FROM_AGENT, + GEN_AI_HANDOFF_TO_AGENT, + GEN_AI_INPUT_MESSAGES, + GEN_AI_OPERATION_NAME, + GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS, + GEN_AI_OUTPUT_MESSAGES, + GEN_AI_OUTPUT_TYPE, + GEN_AI_PROVIDER_NAME, + GEN_AI_REQUEST_CHOICE_COUNT, + GEN_AI_REQUEST_ENCODING_FORMATS, + GEN_AI_REQUEST_FREQUENCY_PENALTY, + GEN_AI_REQUEST_MAX_TOKENS, + GEN_AI_REQUEST_MODEL, + GEN_AI_REQUEST_PRESENCE_PENALTY, + GEN_AI_REQUEST_SEED, + GEN_AI_REQUEST_STOP_SEQUENCES, + GEN_AI_REQUEST_TEMPERATURE, + GEN_AI_REQUEST_TOP_K, + GEN_AI_REQUEST_TOP_P, + GEN_AI_RESPONSE_FINISH_REASONS, + GEN_AI_RESPONSE_ID, + GEN_AI_RESPONSE_MODEL, + GEN_AI_SYSTEM_INSTRUCTIONS, + GEN_AI_TOOL_CALL_ARGUMENTS, + GEN_AI_TOOL_CALL_ID, + GEN_AI_TOOL_CALL_RESULT, + GEN_AI_TOOL_DEFINITIONS, + GEN_AI_TOOL_DESCRIPTION, + GEN_AI_TOOL_NAME, + GEN_AI_TOOL_TYPE, + GEN_AI_USAGE_INPUT_TOKENS, + GEN_AI_USAGE_OUTPUT_TOKENS, + GEN_AI_USAGE_TOTAL_TOKENS, + GenAIOperationName, + GenAIOutputType, +) +from .events import emit_operation_details_event + +# Import utilities and event helpers +from .utils import ( + is_content_enabled, + is_metrics_enabled, + normalize_output_type, + normalize_provider, + should_emit_operation_details, + validate_tool_type, +) + +if TYPE_CHECKING: + pass + +# Legacy attribute names for backward compatibility +GEN_AI_SYSTEM_LEGACY = "gen_ai.system" +GEN_AI_PROMPT_LEGACY = "gen_ai.prompt" +GEN_AI_COMPLETION_LEGACY = "gen_ai.completion" +GEN_AI_TOOL_INPUT_LEGACY = "gen_ai.tool.input" +GEN_AI_TOOL_OUTPUT_LEGACY = "gen_ai.tool.output" + +logger = logging.getLogger(__name__) + + +def _infer_server_attributes(base_url: Optional[str]) -> dict[str, Any]: + """Return server.address / server.port attributes if base_url provided.""" + out: dict[str, Any] = {} + if not base_url: + return out + try: + parsed = urlparse(base_url) + if parsed.hostname: + out["server.address"] = parsed.hostname + if parsed.port: + out["server.port"] = parsed.port + except Exception: + return {} + return out + + +def safe_json_dumps(obj: Any) -> str: + """Safely convert object to JSON string (fallback to str).""" + try: + return json.dumps(obj, ensure_ascii=False) + except (TypeError, ValueError): + return str(obj) + + +def _as_utc_nano(dt: datetime) -> int: + """Convert datetime to UTC nanoseconds timestamp.""" + return int(dt.astimezone(timezone.utc).timestamp() * 1_000_000_000) + + +def _get_span_status(span: Span[Any]) -> Status: + """Get OpenTelemetry span status from agent span.""" + if error := getattr(span, "error", None): + return Status( + status_code=StatusCode.ERROR, + description=f"{error.get('message', '')}: {error.get('data', '')}", + ) + return Status(StatusCode.OK) + + +def get_span_name( + operation_name: str, + model: Optional[str] = None, + agent_name: Optional[str] = None, + tool_name: Optional[str] = None, +) -> str: + """Generate spec-compliant span name based on operation type.""" + if operation_name == GenAIOperationName.CHAT: + return f"chat {model}" if model else "chat" + elif operation_name == GenAIOperationName.TEXT_COMPLETION: + return f"text_completion {model}" if model else "text_completion" + elif operation_name == GenAIOperationName.EMBEDDINGS: + return f"embeddings {model}" if model else "embeddings" + elif operation_name == GenAIOperationName.CREATE_AGENT: + return f"create_agent {agent_name}" if agent_name else "create_agent" + elif operation_name == GenAIOperationName.INVOKE_AGENT: + return f"invoke_agent {agent_name}" if agent_name else "invoke_agent" + elif operation_name == GenAIOperationName.EXECUTE_TOOL: + return f"execute_tool {tool_name}" if tool_name else "execute_tool" + elif operation_name == GenAIOperationName.TRANSCRIPTION: + return f"transcription {model}" if model else "transcription" + elif operation_name == GenAIOperationName.SPEECH: + return f"speech {model}" if model else "speech" + elif operation_name == GenAIOperationName.GUARDRAIL: + return "guardrail" + elif operation_name == GenAIOperationName.HANDOFF: + return f"handoff {agent_name}" if agent_name else "handoff" + return operation_name + + +class GenAISemanticProcessor(TracingProcessor): + """Trace processor adding GenAI semantic convention attributes with metrics.""" + + def __init__( + self, + tracer: Optional[Tracer] = None, + event_logger: Optional[Any] = None, + system_name: str = "openai", + include_sensitive_data: bool = True, + base_url: Optional[str] = None, + emit_legacy: bool = True, + agent_name: Optional[str] = None, + agent_id: Optional[str] = None, + agent_description: Optional[str] = None, + server_address: Optional[str] = None, + server_port: Optional[int] = None, + ): + """Initialize processor with metrics support. + + Args: + tracer: Optional OpenTelemetry tracer + event_logger: Optional event logger for detailed events + system_name: Provider name (openai/azure.ai.inference/etc.) + include_sensitive_data: Include model/tool IO when True + base_url: API endpoint for server.address/port + emit_legacy: Also emit deprecated attribute names + agent_name: Name of the agent (can be overridden by env var) + agent_id: ID of the agent (can be overridden by env var) + agent_description: Description of the agent (can be overridden by env var) + server_address: Server address (can be overridden by env var or base_url) + server_port: Server port (can be overridden by env var or base_url) + """ + self._tracer = tracer + self._event_logger = event_logger + self.system_name = normalize_provider(system_name) or system_name + self.include_sensitive_data = include_sensitive_data + self.base_url = base_url + self.emit_legacy = emit_legacy + + # Agent information - prefer environment variables, then init parameters + self.agent_name = os.getenv("OTEL_GENAI_AGENT_NAME", agent_name) + self.agent_id = os.getenv("OTEL_GENAI_AGENT_ID", agent_id) + self.agent_description = os.getenv( + "OTEL_GENAI_AGENT_DESCRIPTION", agent_description + ) + + # Server information - prefer environment variables, then init parameters, then base_url + self.server_address = os.getenv( + "OTEL_GENAI_SERVER_ADDRESS", server_address + ) + self.server_port = os.getenv("OTEL_GENAI_SERVER_PORT") + if self.server_port: + try: + self.server_port = int(self.server_port) + except ValueError: + self.server_port = None + else: + self.server_port = server_port + + # If server info not provided, try to extract from base_url + if (not self.server_address or not self.server_port) and base_url: + server_attrs = _infer_server_attributes(base_url) + if not self.server_address: + self.server_address = server_attrs.get("server.address") + if not self.server_port: + self.server_port = server_attrs.get("server.port") + + # Span tracking + self._root_spans: dict[str, OtelSpan] = {} + self._otel_spans: dict[str, OtelSpan] = {} + self._tokens: dict[str, object] = {} + + # Metrics configuration + self._metrics_enabled = is_metrics_enabled() + self._meter = None + self._duration_histogram: Optional[Histogram] = None + self._token_usage_histogram: Optional[Histogram] = None + + # Configuration for opt-in attributes + self._capture_system_instructions = ( + os.getenv( + "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS", "false" + ).lower() + == "true" + ) + self._capture_messages = ( + os.getenv("OTEL_GENAI_CAPTURE_MESSAGES", "false").lower() == "true" + ) + self._capture_tool_definitions = ( + os.getenv("OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS", "false").lower() + == "true" + ) + + # Initialize metrics if enabled + if self._metrics_enabled: + self._init_metrics() + + def _get_server_attributes(self) -> dict[str, Any]: + """Get server attributes from configured values.""" + attrs = {} + if self.server_address: + attrs["server.address"] = self.server_address + if self.server_port: + attrs["server.port"] = self.server_port + return attrs + + def _init_metrics(self): + """Initialize metric instruments.""" + self._meter = get_meter( + "opentelemetry.instrumentation.openai_agents", "0.1.0" + ) + + # Operation duration histogram + self._duration_histogram = self._meter.create_histogram( + name="gen_ai.client.operation.duration", + description="GenAI operation duration", + unit="s", + ) + + # Token usage histogram + self._token_usage_histogram = self._meter.create_histogram( + name="gen_ai.client.token.usage", + description="Number of input and output tokens used", + unit="{token}", + ) + + def _record_metrics( + self, span: Span[Any], attributes: dict[str, AttributeValue] + ) -> None: + """Record metrics for the span.""" + if not self._metrics_enabled or not self._duration_histogram: + return + + try: + # Calculate duration + duration = None + if hasattr(span, "started_at") and hasattr(span, "ended_at"): + try: + start = datetime.fromisoformat(span.started_at) + end = datetime.fromisoformat(span.ended_at) + duration = (end - start).total_seconds() + except Exception: + pass + + # Build metric attributes + metric_attrs = { + "gen_ai.provider.name": attributes.get(GEN_AI_PROVIDER_NAME), + "gen_ai.operation.name": attributes.get(GEN_AI_OPERATION_NAME), + "gen_ai.request.model": ( + attributes.get(GEN_AI_REQUEST_MODEL) + or attributes.get(GEN_AI_RESPONSE_MODEL) + ), + "server.address": attributes.get("server.address"), + "server.port": attributes.get("server.port"), + } + + # Add error type if present + if error := getattr(span, "error", None): + error_type = error.get("type") or error.get("name") + if error_type: + metric_attrs["error.type"] = error_type + + # Remove None values + metric_attrs = { + k: v for k, v in metric_attrs.items() if v is not None + } + + # Record duration + if duration is not None: + self._duration_histogram.record(duration, metric_attrs) + + # Record token usage + if self._token_usage_histogram: + input_tokens = attributes.get(GEN_AI_USAGE_INPUT_TOKENS) + if isinstance(input_tokens, (int, float)): + token_attrs = dict(metric_attrs) + token_attrs["gen_ai.token.type"] = "input" + self._token_usage_histogram.record( + input_tokens, token_attrs + ) + + output_tokens = attributes.get(GEN_AI_USAGE_OUTPUT_TOKENS) + if isinstance(output_tokens, (int, float)): + token_attrs = dict(metric_attrs) + token_attrs["gen_ai.token.type"] = "output" + self._token_usage_histogram.record( + output_tokens, token_attrs + ) + + except Exception as e: + logger.debug("Failed to record metrics: %s", e) + + def _collect_system_instructions( + self, messages: Sequence[Any] | None + ) -> list[str]: + """Return list of system/ai role message contents.""" + if not messages: + return [] + out: list[str] = [] + for m in messages: + if not isinstance(m, dict): + continue + role = m.get("role") + if role in {"system", "ai"}: + content = m.get("content") + if content is not None: + out.append(str(content)) + return out + + def _infer_output_type(self, span_data: Any) -> str: + """Infer gen_ai.output.type for multiple span kinds.""" + if isinstance(span_data, FunctionSpanData): + # Tool results are typically JSON + return GenAIOutputType.JSON + if isinstance(span_data, TranscriptionSpanData): + return GenAIOutputType.TEXT + if isinstance(span_data, SpeechSpanData): + return GenAIOutputType.SPEECH + if isinstance(span_data, GuardrailSpanData): + return GenAIOutputType.TEXT + if isinstance(span_data, HandoffSpanData): + return GenAIOutputType.TEXT + + # Check for embeddings operation + if isinstance(span_data, GenerationSpanData): + if hasattr(span_data, "embedding_dimension"): + return ( + GenAIOutputType.TEXT + ) # Embeddings are numeric but represented as text + + # Generation/Response - check output structure + output = getattr(span_data, "output", None) or getattr( + getattr(span_data, "response", None), "output", None + ) + if isinstance(output, Sequence) and output: + first = output[0] + if isinstance(first, dict): + # Check for image/speech indicators + if first.get("type") == "image": + return GenAIOutputType.IMAGE + if first.get("type") == "audio": + return GenAIOutputType.SPEECH + # Check if it's structured JSON + if "type" in first or len(first) > 1: + return GenAIOutputType.JSON + + return GenAIOutputType.TEXT + + def _get_span_kind(self, span_data: Any) -> SpanKind: + """Determine appropriate span kind based on span data type.""" + if isinstance(span_data, FunctionSpanData): + return SpanKind.INTERNAL # Tool execution is internal + if isinstance( + span_data, + ( + GenerationSpanData, + ResponseSpanData, + TranscriptionSpanData, + SpeechSpanData, + ), + ): + return SpanKind.CLIENT # API calls to model providers + if isinstance( + span_data, (AgentSpanData, GuardrailSpanData, HandoffSpanData) + ): + return SpanKind.INTERNAL # Agent operations are internal + return SpanKind.INTERNAL + + def on_trace_start(self, trace: Trace) -> None: + """Create root span when trace starts.""" + if self._tracer: + attributes = { + GEN_AI_PROVIDER_NAME: self.system_name, + } + if self.emit_legacy: + attributes[GEN_AI_SYSTEM_LEGACY] = self.system_name + + # Add configured agent and server attributes + if self.agent_name: + attributes[GEN_AI_AGENT_NAME] = self.agent_name + if self.agent_id: + attributes[GEN_AI_AGENT_ID] = self.agent_id + if self.agent_description: + attributes[GEN_AI_AGENT_DESCRIPTION] = self.agent_description + attributes.update(self._get_server_attributes()) + + otel_span = self._tracer.start_span( + name=trace.name, + attributes=attributes, + kind=SpanKind.SERVER, # Root span is typically server + ) + self._root_spans[trace.trace_id] = otel_span + + def on_trace_end(self, trace: Trace) -> None: + """End root span when trace ends.""" + if root_span := self._root_spans.pop(trace.trace_id, None): + if root_span.is_recording(): + root_span.set_status(Status(StatusCode.OK)) + root_span.end() + self._cleanup_spans_for_trace(trace.trace_id) + + def on_span_start(self, span: Span[Any]) -> None: + """Start child span for agent span.""" + if not self._tracer or not span.started_at: + return + + parent_span = ( + self._otel_spans.get(span.parent_id) + if span.parent_id + else self._root_spans.get(span.trace_id) + ) + context = set_span_in_context(parent_span) if parent_span else None + + # Get operation details for span naming + operation_name = self._get_operation_name(span.span_data) + model = getattr(span.span_data, "model", None) + + # Use configured agent name or get from span data + agent_name = self.agent_name + if not agent_name and isinstance(span.span_data, AgentSpanData): + agent_name = getattr(span.span_data, "name", None) + + tool_name = ( + getattr(span.span_data, "name", None) + if isinstance(span.span_data, FunctionSpanData) + else None + ) + + # Generate spec-compliant span name + span_name = get_span_name(operation_name, model, agent_name, tool_name) + + attributes = { + GEN_AI_PROVIDER_NAME: self.system_name, + GEN_AI_OPERATION_NAME: operation_name, + } + if self.emit_legacy: + attributes[GEN_AI_SYSTEM_LEGACY] = self.system_name + + # Add configured agent and server attributes + if self.agent_name: + attributes[GEN_AI_AGENT_NAME] = self.agent_name + if self.agent_id: + attributes[GEN_AI_AGENT_ID] = self.agent_id + if self.agent_description: + attributes[GEN_AI_AGENT_DESCRIPTION] = self.agent_description + attributes.update(self._get_server_attributes()) + + otel_span = self._tracer.start_span( + name=span_name, + context=context, + attributes=attributes, + kind=self._get_span_kind(span.span_data), + ) + self._otel_spans[span.span_id] = otel_span + self._tokens[span.span_id] = attach(set_span_in_context(otel_span)) + + def on_span_end(self, span: Span[Any]) -> None: + """Finalize span with attributes, events, and metrics.""" + if token := self._tokens.pop(span.span_id, None): + detach(token) + + if not (otel_span := self._otel_spans.pop(span.span_id, None)): + # Log attributes even without OTel span + try: + attributes = dict(self._extract_genai_attributes(span)) + for key, value in attributes.items(): + logger.debug( + "GenAI attr span %s: %s=%s", span.span_id, key, value + ) + except Exception as e: + logger.warning( + "Failed to extract attributes for span %s: %s", + span.span_id, + e, + ) + return + + try: + # Extract and set attributes + attributes: dict[str, AttributeValue] = {} + # Optimize for non-sampled spans to avoid heavy work + if not otel_span.is_recording(): + otel_span.end() + return + for key, value in self._extract_genai_attributes(span): + otel_span.set_attribute(key, value) + attributes[key] = value + + # Emit operation details event if configured + if should_emit_operation_details() and self._event_logger: + emit_operation_details_event( + self._event_logger, attributes, otel_span + ) + + # Set error status if applicable + otel_span.set_status(status=_get_span_status(span)) + if getattr(span, "error", None): + err_obj = span.error + err_type = err_obj.get("type") or err_obj.get("name") + if err_type: + otel_span.set_attribute("error.type", err_type) + + # Record metrics before ending span + self._record_metrics(span, attributes) + + # End the span + otel_span.end() + + except Exception as e: + logger.warning("Failed to enrich span %s: %s", span.span_id, e) + otel_span.set_status(Status(StatusCode.ERROR, str(e))) + otel_span.end() + + def shutdown(self) -> None: + """Clean up resources on shutdown.""" + for span_id, otel_span in list(self._otel_spans.items()): + otel_span.set_status( + Status(StatusCode.ERROR, "Application shutdown") + ) + otel_span.end() + + for trace_id, root_span in list(self._root_spans.items()): + root_span.set_status( + Status(StatusCode.ERROR, "Application shutdown") + ) + root_span.end() + + self._otel_spans.clear() + self._root_spans.clear() + self._tokens.clear() + + def force_flush(self) -> None: + """Force flush (no-op for this processor).""" + pass + + def _get_operation_name(self, span_data: Any) -> str: + """Determine operation name from span data type.""" + if isinstance(span_data, GenerationSpanData): + # Check if it's embeddings + if hasattr(span_data, "embedding_dimension"): + return GenAIOperationName.EMBEDDINGS + # Check if it's chat or completion + if span_data.input: + first_input = span_data.input[0] if span_data.input else None + if isinstance(first_input, dict) and "role" in first_input: + return GenAIOperationName.CHAT + return GenAIOperationName.TEXT_COMPLETION + elif isinstance(span_data, AgentSpanData): + # Could be create_agent or invoke_agent based on context + # Default to invoke_agent (more common) + return GenAIOperationName.INVOKE_AGENT + elif isinstance(span_data, FunctionSpanData): + return GenAIOperationName.EXECUTE_TOOL + elif isinstance(span_data, ResponseSpanData): + return GenAIOperationName.CHAT # Response typically from chat + elif isinstance(span_data, TranscriptionSpanData): + return GenAIOperationName.TRANSCRIPTION + elif isinstance(span_data, SpeechSpanData): + return GenAIOperationName.SPEECH + elif isinstance(span_data, GuardrailSpanData): + return GenAIOperationName.GUARDRAIL + elif isinstance(span_data, HandoffSpanData): + return GenAIOperationName.HANDOFF + return "unknown" + + def _extract_genai_attributes( + self, span: Span[Any] + ) -> Iterator[tuple[str, AttributeValue]]: + """Yield (attr, value) pairs for GenAI semantic conventions.""" + span_data = span.span_data + + # Base attributes + yield GEN_AI_PROVIDER_NAME, self.system_name + if self.emit_legacy: + yield GEN_AI_SYSTEM_LEGACY, self.system_name + + # Add configured agent attributes (always include when set) + if self.agent_name: + yield GEN_AI_AGENT_NAME, self.agent_name + if self.agent_id: + yield GEN_AI_AGENT_ID, self.agent_id + if self.agent_description: + yield GEN_AI_AGENT_DESCRIPTION, self.agent_description + + # Server attributes + for key, value in self._get_server_attributes().items(): + yield key, value + + # Process different span types + if isinstance(span_data, GenerationSpanData): + yield from self._get_attributes_from_generation_span_data( + span_data + ) + elif isinstance(span_data, AgentSpanData): + yield from self._get_attributes_from_agent_span_data(span_data) + elif isinstance(span_data, FunctionSpanData): + yield from self._get_attributes_from_function_span_data(span_data) + elif isinstance(span_data, ResponseSpanData): + yield from self._get_attributes_from_response_span_data(span_data) + elif isinstance(span_data, TranscriptionSpanData): + yield from self._get_attributes_from_transcription_span_data( + span_data + ) + elif isinstance(span_data, SpeechSpanData): + yield from self._get_attributes_from_speech_span_data(span_data) + elif isinstance(span_data, GuardrailSpanData): + yield from self._get_attributes_from_guardrail_span_data(span_data) + elif isinstance(span_data, HandoffSpanData): + yield from self._get_attributes_from_handoff_span_data(span_data) + + def _get_attributes_from_generation_span_data( + self, span_data: GenerationSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from generation span.""" + # Operation name + operation_name = self._get_operation_name(span_data) + yield GEN_AI_OPERATION_NAME, operation_name + + # Model information + if span_data.model: + yield GEN_AI_REQUEST_MODEL, span_data.model + + # Check for embeddings-specific attributes + if hasattr(span_data, "embedding_dimension"): + yield ( + GEN_AI_EMBEDDINGS_DIMENSION_COUNT, + span_data.embedding_dimension, + ) + + # Check for data source + if hasattr(span_data, "data_source_id"): + yield GEN_AI_DATA_SOURCE_ID, span_data.data_source_id + + # Usage information + if span_data.usage: + usage = span_data.usage + if "prompt_tokens" in usage or "input_tokens" in usage: + tokens = usage.get("prompt_tokens") or usage.get( + "input_tokens" + ) + if tokens is not None: + yield GEN_AI_USAGE_INPUT_TOKENS, tokens + if "completion_tokens" in usage or "output_tokens" in usage: + tokens = usage.get("completion_tokens") or usage.get( + "output_tokens" + ) + if tokens is not None: + yield GEN_AI_USAGE_OUTPUT_TOKENS, tokens + if "total_tokens" in usage: + yield GEN_AI_USAGE_TOTAL_TOKENS, usage["total_tokens"] + + # Model configuration + if span_data.model_config: + mc = span_data.model_config + param_map = { + "temperature": GEN_AI_REQUEST_TEMPERATURE, + "top_p": GEN_AI_REQUEST_TOP_P, + "top_k": GEN_AI_REQUEST_TOP_K, + "max_tokens": GEN_AI_REQUEST_MAX_TOKENS, + "presence_penalty": GEN_AI_REQUEST_PRESENCE_PENALTY, + "frequency_penalty": GEN_AI_REQUEST_FREQUENCY_PENALTY, + "seed": GEN_AI_REQUEST_SEED, + "n": GEN_AI_REQUEST_CHOICE_COUNT, + "stop": GEN_AI_REQUEST_STOP_SEQUENCES, + "encoding_formats": GEN_AI_REQUEST_ENCODING_FORMATS, + } + for k, attr in param_map.items(): + if k in mc and mc[k] is not None: + yield attr, mc[k] + + # Sensitive data (opt-in) + if self.include_sensitive_data and is_content_enabled(): + # Input messages (opt-in) + if self._capture_messages and span_data.input: + yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) + if self.emit_legacy: + yield ( + GEN_AI_PROMPT_LEGACY, + safe_json_dumps(span_data.input), + ) + + # System instructions (opt-in) + if self._capture_system_instructions and span_data.input: + sys_instr = self._collect_system_instructions(span_data.input) + if sys_instr: + yield ( + GEN_AI_SYSTEM_INSTRUCTIONS, + safe_json_dumps(sys_instr), + ) + + # Output messages (opt-in) + if self._capture_messages and span_data.output: + yield GEN_AI_OUTPUT_MESSAGES, safe_json_dumps(span_data.output) + if self.emit_legacy: + yield ( + GEN_AI_COMPLETION_LEGACY, + safe_json_dumps(span_data.output), + ) + + # Output type + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_agent_span_data( + self, span_data: AgentSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from agent span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.INVOKE_AGENT + + # Use span data values only if not configured globally + if not self.agent_name and span_data.name: + yield GEN_AI_AGENT_NAME, span_data.name + if ( + not self.agent_id + and hasattr(span_data, "agent_id") + and span_data.agent_id + ): + yield GEN_AI_AGENT_ID, span_data.agent_id + if ( + not self.agent_description + and hasattr(span_data, "description") + and span_data.description + ): + yield GEN_AI_AGENT_DESCRIPTION, span_data.description + if hasattr(span_data, "conversation_id") and span_data.conversation_id: + yield GEN_AI_CONVERSATION_ID, span_data.conversation_id + + # Agent definitions (opt-in) + if self._capture_tool_definitions and hasattr( + span_data, "agent_definitions" + ): + yield ( + GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS, + safe_json_dumps(span_data.agent_definitions), + ) + + # System instructions from agent definitions (opt-in) + if self._capture_system_instructions and hasattr( + span_data, "agent_definitions" + ): + try: + defs = span_data.agent_definitions + if isinstance(defs, (list, tuple)): + collected: list[str] = [] + for d in defs: + if isinstance(d, dict): + msgs = d.get("messages") or d.get( + "system_messages" + ) + if isinstance(msgs, (list, tuple)): + collected.extend( + self._collect_system_instructions(msgs) + ) + if collected: + yield ( + GEN_AI_SYSTEM_INSTRUCTIONS, + safe_json_dumps(collected), + ) + except Exception: + pass + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_function_span_data( + self, span_data: FunctionSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from function/tool span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.EXECUTE_TOOL + + if span_data.name: + yield GEN_AI_TOOL_NAME, span_data.name + + # Tool type - validate and normalize + tool_type = "function" # Default for function spans + if hasattr(span_data, "tool_type"): + tool_type = span_data.tool_type + yield GEN_AI_TOOL_TYPE, validate_tool_type(tool_type) + + if hasattr(span_data, "call_id") and span_data.call_id: + yield GEN_AI_TOOL_CALL_ID, span_data.call_id + if hasattr(span_data, "description") and span_data.description: + yield GEN_AI_TOOL_DESCRIPTION, span_data.description + + # Tool definitions (opt-in) + if self._capture_tool_definitions and hasattr( + span_data, "tool_definitions" + ): + yield ( + GEN_AI_TOOL_DEFINITIONS, + safe_json_dumps(span_data.tool_definitions), + ) + + # Tool input/output (sensitive, opt-in via include_sensitive_data) + if self.include_sensitive_data and is_content_enabled(): + if span_data.input is not None: + arg_val = ( + safe_json_dumps(span_data.input) + if isinstance(span_data.input, (dict, list)) + else str(span_data.input) + ) + yield GEN_AI_TOOL_CALL_ARGUMENTS, arg_val + if self.emit_legacy: + yield GEN_AI_TOOL_INPUT_LEGACY, arg_val + + if span_data.output is not None: + res_val = ( + safe_json_dumps(span_data.output) + if isinstance(span_data.output, (dict, list)) + else str(span_data.output) + ) + yield GEN_AI_TOOL_CALL_RESULT, res_val + if self.emit_legacy: + yield GEN_AI_TOOL_OUTPUT_LEGACY, res_val + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_response_span_data( + self, span_data: ResponseSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from response span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.CHAT + + # Response information + if span_data.response: + if hasattr(span_data.response, "id") and span_data.response.id: + yield GEN_AI_RESPONSE_ID, span_data.response.id + + # Model from response + if ( + hasattr(span_data.response, "model") + and span_data.response.model + ): + yield GEN_AI_RESPONSE_MODEL, span_data.response.model + if not getattr(span_data, "model", None): + yield GEN_AI_REQUEST_MODEL, span_data.response.model + + # Finish reasons + finish_reasons = [] + if ( + hasattr(span_data.response, "output") + and span_data.response.output + ): + for part in span_data.response.output: + fr = getattr(part, "finish_reason", None) + if fr: + finish_reasons.append(fr) + if finish_reasons: + yield GEN_AI_RESPONSE_FINISH_REASONS, finish_reasons + + # Usage from response + if ( + hasattr(span_data.response, "usage") + and span_data.response.usage + ): + usage = span_data.response.usage + if ( + hasattr(usage, "prompt_tokens") + and usage.prompt_tokens is not None + ): + yield GEN_AI_USAGE_INPUT_TOKENS, usage.prompt_tokens + if ( + hasattr(usage, "completion_tokens") + and usage.completion_tokens is not None + ): + yield GEN_AI_USAGE_OUTPUT_TOKENS, usage.completion_tokens + if ( + hasattr(usage, "total_tokens") + and usage.total_tokens is not None + ): + yield GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens + + # Input/output messages (opt-in) + if self.include_sensitive_data and is_content_enabled(): + # Input messages + if self._capture_messages and span_data.input: + yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) + if self.emit_legacy: + yield ( + GEN_AI_PROMPT_LEGACY, + safe_json_dumps(span_data.input), + ) + + # System instructions + if self._capture_system_instructions and span_data.input: + sys_instr = self._collect_system_instructions(span_data.input) + if sys_instr: + yield ( + GEN_AI_SYSTEM_INSTRUCTIONS, + safe_json_dumps(sys_instr), + ) + + # Output messages + if self._capture_messages: + output_messages = getattr( + getattr(span_data, "response", None), "output", None + ) + if output_messages: + collected = [] + for part in output_messages: + if isinstance(part, ResponseOutputMessage): + content = getattr( + getattr(span_data, "response", None), + "output_text", + None, + ) + if content: + collected.append(content) + if collected: + yield ( + GEN_AI_OUTPUT_MESSAGES, + safe_json_dumps(collected), + ) + if self.emit_legacy: + yield ( + GEN_AI_COMPLETION_LEGACY, + safe_json_dumps(collected), + ) + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_transcription_span_data( + self, span_data: TranscriptionSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from transcription span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.TRANSCRIPTION + + if hasattr(span_data, "model") and span_data.model: + yield GEN_AI_REQUEST_MODEL, span_data.model + + # Audio format + if hasattr(span_data, "format") and span_data.format: + yield "gen_ai.audio.input.format", span_data.format + + # Transcript (sensitive, opt-in) + if self.include_sensitive_data and is_content_enabled(): + if self._capture_messages and hasattr(span_data, "transcript"): + yield "gen_ai.transcription.text", span_data.transcript + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_speech_span_data( + self, span_data: SpeechSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from speech span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.SPEECH + + if hasattr(span_data, "model") and span_data.model: + yield GEN_AI_REQUEST_MODEL, span_data.model + + if hasattr(span_data, "voice") and span_data.voice: + yield "gen_ai.speech.voice", span_data.voice + + if hasattr(span_data, "format") and span_data.format: + yield "gen_ai.audio.output.format", span_data.format + + # Input text (sensitive, opt-in) + if self.include_sensitive_data and is_content_enabled(): + if self._capture_messages and hasattr(span_data, "input_text"): + yield "gen_ai.speech.input_text", span_data.input_text + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_guardrail_span_data( + self, span_data: GuardrailSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from guardrail span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.GUARDRAIL + + if span_data.name: + yield GEN_AI_GUARDRAIL_NAME, span_data.name + + yield GEN_AI_GUARDRAIL_TRIGGERED, span_data.triggered + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _get_attributes_from_handoff_span_data( + self, span_data: HandoffSpanData + ) -> Iterator[tuple[str, AttributeValue]]: + """Extract attributes from handoff span.""" + yield GEN_AI_OPERATION_NAME, GenAIOperationName.HANDOFF + + if span_data.from_agent: + yield GEN_AI_HANDOFF_FROM_AGENT, span_data.from_agent + + if span_data.to_agent: + yield GEN_AI_HANDOFF_TO_AGENT, span_data.to_agent + + yield ( + GEN_AI_OUTPUT_TYPE, + normalize_output_type(self._infer_output_type(span_data)), + ) + + def _cleanup_spans_for_trace(self, trace_id: str) -> None: + """Clean up spans for a trace to prevent memory leaks.""" + spans_to_remove = [ + span_id + for span_id in self._otel_spans.keys() + if span_id.startswith(trace_id) + ] + for span_id in spans_to_remove: + if otel_span := self._otel_spans.pop(span_id, None): + otel_span.set_status( + Status( + StatusCode.ERROR, "Trace ended before span completion" + ) + ) + otel_span.end() + self._tokens.pop(span_id, None) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py new file mode 100644 index 0000000000..334f451328 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py @@ -0,0 +1,91 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""Metric instrument definitions for OpenAI Agents GenAI instrumentation. + +We expose a minimal stable set of metrics (development status): + - gen_ai.client.operation.duration (Histogram, seconds) + - gen_ai.client.tokens.input (Counter, tokens) + - gen_ai.client.tokens.output (Counter, tokens) + - gen_ai.client.requests (Counter, requests) + +Helper functions create instruments lazily (idempotent) to avoid side-effects +when metrics are disabled via environment flag. +""" + +from __future__ import annotations + +from typing import Dict + +from opentelemetry import metrics + +METER_NAME = "opentelemetry.instrumentation.openai_agents" + +_METER = None +_INSTRUMENTS: Dict[str, object] = {} + + +def _get_meter(): + global _METER + if _METER is None: + _METER = metrics.get_meter(METER_NAME) + return _METER + + +def get_instruments() -> Dict[str, object]: + """Create (if needed) and return metric instruments.""" + meter = _get_meter() + if "duration" not in _INSTRUMENTS: + _INSTRUMENTS["duration"] = meter.create_histogram( + name="gen_ai.client.operation.duration", + unit="s", + description="Duration of GenAI client operations", + ) + if "requests" not in _INSTRUMENTS: + _INSTRUMENTS["requests"] = meter.create_counter( + name="gen_ai.client.requests", + unit="1", + description="Number of GenAI client operations", + ) + if "tokens_input" not in _INSTRUMENTS: + _INSTRUMENTS["tokens_input"] = meter.create_counter( + name="gen_ai.client.tokens.input", + unit="token", + description="Input (prompt) tokens consumed", + ) + if "tokens_output" not in _INSTRUMENTS: + _INSTRUMENTS["tokens_output"] = meter.create_counter( + name="gen_ai.client.tokens.output", + unit="token", + description="Output (completion) tokens produced", + ) + return _INSTRUMENTS + + +def record_duration(seconds: float, **attrs) -> None: + inst = get_instruments()["duration"] + inst.record(seconds, attributes=attrs) # type: ignore[attr-defined] + + +def record_request(**attrs) -> None: + get_instruments()["requests"].add(1, attributes=attrs) # type: ignore[attr-defined] + + +def record_tokens( + input_tokens: int | None, output_tokens: int | None, **attrs +) -> None: + if input_tokens is not None: + get_instruments()["tokens_input"].add(input_tokens, attributes=attrs) # type: ignore[attr-defined] + if output_tokens is not None: + get_instruments()["tokens_output"].add(output_tokens, attributes=attrs) # type: ignore[attr-defined] diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py new file mode 100644 index 0000000000..ac2a963cd6 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py @@ -0,0 +1,16 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +_instruments = ("openai-agent >= 0.1.0",) +_supports_metrics = True diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py new file mode 100644 index 0000000000..3eed910991 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py @@ -0,0 +1,110 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from os import environ +from typing import Optional + +from .constants import GenAIOutputType, GenAIProvider, GenAIToolType + +_EMIT_OP_DETAILS_ENV = "OTEL_GENAI_EMIT_OPERATION_DETAILS" + + +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT = ( + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT" +) +OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS = ( + "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS" +) + + +def is_content_enabled() -> bool: + """Check if content capture is enabled.""" + capture_content = environ.get( + OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT, "false" + ) + return capture_content.lower() == "true" + + +def is_metrics_enabled() -> bool: + """Check if metrics capture is enabled.""" + capture_metrics = environ.get( + OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS, "true" + ) + return capture_metrics.lower() == "true" + + +def get_agent_operation_name(operation: str) -> str: + """Get the operation name for agent operations.""" + return f"openai_agents.{operation}" + + +def get_agent_span_name(operation: str, model: Optional[str] = None) -> str: + """Get the span name for agent operations.""" + if model: + return f"openai_agents {operation} {model}" + return f"openai_agents {operation}" + + +# ---------------- Normalization / Validation Helpers ---------------- + + +def normalize_provider(provider: Optional[str]) -> Optional[str]: + """Normalize provider name to spec-compliant value.""" + if not provider: + return None + p = provider.strip().lower() + if p in GenAIProvider.ALL: + return p + return provider # passthrough if unknown (forward compat) + + +def validate_tool_type(tool_type: Optional[str]) -> str: + """Validate and normalize tool type.""" + if not tool_type: + return GenAIToolType.FUNCTION # default + t = tool_type.strip().lower() + return t if t in GenAIToolType.ALL else GenAIToolType.FUNCTION + + +def normalize_output_type(output_type: Optional[str]) -> str: + """Normalize output type to spec-compliant value.""" + if not output_type: + return GenAIOutputType.TEXT # default + o = output_type.strip().lower() + base_map = { + "json_object": GenAIOutputType.JSON, + "jsonschema": GenAIOutputType.JSON, + "speech_audio": GenAIOutputType.SPEECH, + "audio_speech": GenAIOutputType.SPEECH, + "image_png": GenAIOutputType.IMAGE, + "function_arguments_json": GenAIOutputType.JSON, + "tool_call": GenAIOutputType.JSON, + "transcription_json": GenAIOutputType.JSON, + } + if o in base_map: + return base_map[o] + if o in { + GenAIOutputType.TEXT, + GenAIOutputType.JSON, + GenAIOutputType.IMAGE, + GenAIOutputType.SPEECH, + }: + return o + return GenAIOutputType.TEXT # default for unknown + + +def should_emit_operation_details() -> bool: + """Check if operation details event should be emitted.""" + raw = environ.get(_EMIT_OP_DETAILS_ENV, "true") + return raw.lower() not in {"0", "false", "no"} diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/version.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/version.py new file mode 100644 index 0000000000..4effd145cb --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/version.py @@ -0,0 +1,15 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +__version__ = "0.1.0.dev" diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py new file mode 100644 index 0000000000..b0a6f42841 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py @@ -0,0 +1,13 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py new file mode 100644 index 0000000000..b254019efe --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py @@ -0,0 +1,72 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +from unittest import mock + +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.test.test_base import TestBase + + +class TestOpenAIAgentsInstrumentor(TestBase): + def setUp(self): + super().setUp() + self.instrumentor = OpenAIAgentsInstrumentor() + + def tearDown(self): + super().tearDown() + self.instrumentor.uninstrument() + + def test_instrument(self): + """Test that the instrumentor can be enabled.""" + self.instrumentor.instrument() + self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) + + def test_uninstrument(self): + """Test that the instrumentor can be disabled.""" + self.instrumentor.instrument() + self.instrumentor.uninstrument() + self.assertFalse(self.instrumentor.is_instrumented_by_opentelemetry) + + def test_instrumentation_dependencies(self): + """Test that instrumentation dependencies are returned.""" + dependencies = self.instrumentor.instrumentation_dependencies() + self.assertIsInstance(dependencies, tuple) + self.assertEqual(dependencies, ("openai-agent >= 0.1.0",)) + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true"}, + ) + def test_capture_content_enabled(self): + """Test that content capture can be enabled via environment variable.""" + self.instrumentor.instrument() + # The test passes if no exception is raised during instrumentation + self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "false"}, + ) + def test_metrics_disabled(self): + """Test that metrics capture can be disabled via environment variable.""" + self.instrumentor.instrument() + # The test passes if no exception is raised during instrumentation + self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) + + +if __name__ == "__main__": + unittest.main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py new file mode 100644 index 0000000000..efa61025fe --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py @@ -0,0 +1,92 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +from unittest import mock + +from opentelemetry.instrumentation.openai_agents.utils import ( + get_agent_operation_name, + get_agent_span_name, + is_content_enabled, + is_metrics_enabled, +) + + +class TestUtils(unittest.TestCase): + def test_get_agent_operation_name(self): + """Test get_agent_operation_name function.""" + result = get_agent_operation_name("chat") + self.assertEqual(result, "openai_agents.chat") + + def test_get_agent_span_name_with_model(self): + """Test get_agent_span_name function with model.""" + result = get_agent_span_name("chat", "gpt-4") + self.assertEqual(result, "openai_agents chat gpt-4") + + def test_get_agent_span_name_without_model(self): + """Test get_agent_span_name function without model.""" + result = get_agent_span_name("chat") + self.assertEqual(result, "openai_agents chat") + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true"}, + ) + def test_is_content_enabled_true(self): + """Test is_content_enabled returns True when env var is 'true'.""" + result = is_content_enabled() + self.assertTrue(result) + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "false"}, + ) + def test_is_content_enabled_false(self): + """Test is_content_enabled returns False when env var is 'false'.""" + result = is_content_enabled() + self.assertFalse(result) + + @mock.patch.dict("os.environ", {}, clear=True) + def test_is_content_enabled_default(self): + """Test is_content_enabled returns False by default.""" + result = is_content_enabled() + self.assertFalse(result) + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true"}, + ) + def test_is_metrics_enabled_true(self): + """Test is_metrics_enabled returns True when env var is 'true'.""" + result = is_metrics_enabled() + self.assertTrue(result) + + @mock.patch.dict( + "os.environ", + {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "false"}, + ) + def test_is_metrics_enabled_false(self): + """Test is_metrics_enabled returns False when env var is 'false'.""" + result = is_metrics_enabled() + self.assertFalse(result) + + @mock.patch.dict("os.environ", {}, clear=True) + def test_is_metrics_enabled_default(self): + """Test is_metrics_enabled returns True by default.""" + result = is_metrics_enabled() + self.assertTrue(result) + + +if __name__ == "__main__": + unittest.main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py index 4b0c121b7a..8a1b57b181 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py @@ -4,10 +4,13 @@ from openai import OpenAI # NOTE: OpenTelemetry Python Logs and Events APIs are in beta -from opentelemetry import _events, _logs, trace +from opentelemetry import _events, _logs, metrics, trace from opentelemetry.exporter.otlp.proto.grpc._log_exporter import ( OTLPLogExporter, ) +from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import ( + OTLPMetricExporter, +) from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( OTLPSpanExporter, ) @@ -15,6 +18,8 @@ from opentelemetry.sdk._events import EventLoggerProvider from opentelemetry.sdk._logs import LoggerProvider from opentelemetry.sdk._logs.export import BatchLogRecordProcessor +from opentelemetry.sdk.metrics import MeterProvider +from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import BatchSpanProcessor @@ -31,6 +36,17 @@ ) _events.set_event_logger_provider(EventLoggerProvider()) +# configure metrics +metrics.set_meter_provider( + MeterProvider( + metric_readers=[ + PeriodicExportingMetricReader( + OTLPMetricExporter(), + ), + ] + ) +) + # instrument OpenAI OpenAIInstrumentor().instrument() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt index a83331bf27..4bde8defc4 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/requirements.txt @@ -1,5 +1,5 @@ openai~=1.57.3 -opentelemetry-sdk~=1.30.0 -opentelemetry-exporter-otlp-proto-grpc~=1.30.0 +opentelemetry-sdk~=1.36.0 +opentelemetry-exporter-otlp-proto-grpc~=1.36.0 opentelemetry-instrumentation-openai-v2~=2.1b0 diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt index 80d03c954d..62a6a6e8b1 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/zero-code/requirements.txt @@ -1,6 +1,6 @@ openai~=1.57.3 -opentelemetry-sdk~=1.30.0 -opentelemetry-exporter-otlp-proto-grpc~=1.30.0 -opentelemetry-distro~=0.51b0 +opentelemetry-sdk~=1.36.0 +opentelemetry-exporter-otlp-proto-grpc~=1.36.0 +opentelemetry-distro~=0.57b0 opentelemetry-instrumentation-openai-v2~=2.1b0 diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-vertexai/CHANGELOG.md index bc7d30c1ba..a46355ba59 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/CHANGELOG.md +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/CHANGELOG.md @@ -7,6 +7,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## Unreleased +- Start making changes to implement the big semantic convention changes made in https://github.com/open-telemetry/semantic-conventions/pull/2179. +Now only a single event (`gen_ai.client.inference.operation.details`) is used to capture Chat History. These changes will be opt-in, +users will need to set the environment variable OTEL_SEMCONV_STABILITY_OPT_IN to `gen_ai_latest_experimental` to see them ([#3386](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3386)). - Implement uninstrument for `opentelemetry-instrumentation-vertexai` ([#3328](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3328)) - VertexAI support for async calling diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/manual/README.rst b/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/manual/README.rst index ab5e7d1c5c..c9cbdc8d2e 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/manual/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/manual/README.rst @@ -1,5 +1,5 @@ OpenTelemetry VertexAI Instrumentation Example -============================================ +============================================== This is an example of how to instrument VertexAI calls when configuring OpenTelemetry SDK and Instrumentations manually. @@ -12,8 +12,8 @@ your VertexAI requests. Note: `.env <.env>`_ file configures additional environment variables: - `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=true` configures -VertexAI instrumentation to capture prompt and completion contents on -events. + VertexAI instrumentation to capture prompt and completion contents on + events. Setup ----- diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/zero-code/README.rst b/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/zero-code/README.rst index 6fe161f82f..19a132d443 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/zero-code/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/examples/zero-code/README.rst @@ -1,5 +1,5 @@ OpenTelemetry VertexAI Instrumentation Example -============================================ +============================================== This is an example of how to instrument VertexAI calls with zero code changes, using `opentelemetry-instrument`. diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/pyproject.toml index 692a338a69..fba9c63667 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/pyproject.toml @@ -25,8 +25,11 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.28", - "opentelemetry-instrumentation ~= 0.49b0", - "opentelemetry-semantic-conventions ~= 0.49b0", + "opentelemetry-instrumentation ~= 0.58b0", + # TODO https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3786: restrict + # version after the first release + "opentelemetry-util-genai", + "opentelemetry-semantic-conventions ~= 0.58b0", ] [project.optional-dependencies] diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/__init__.py index f9fa082014..fd241d1316 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/__init__.py @@ -48,6 +48,11 @@ ) from opentelemetry._events import get_event_logger +from opentelemetry.instrumentation._semconv import ( + _OpenTelemetrySemanticConventionStability, + _OpenTelemetryStabilitySignalType, + _StabilityMode, +) from opentelemetry.instrumentation.instrumentor import BaseInstrumentor from opentelemetry.instrumentation.utils import unwrap from opentelemetry.instrumentation.vertexai.package import _instruments @@ -104,24 +109,49 @@ def instrumentation_dependencies(self) -> Collection[str]: def _instrument(self, **kwargs: Any): """Enable VertexAI instrumentation.""" + sem_conv_opt_in_mode = _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI, + ) tracer_provider = kwargs.get("tracer_provider") + schema = ( + Schemas.V1_28_0.value + if sem_conv_opt_in_mode == _StabilityMode.DEFAULT + else Schemas.V1_36_0.value + ) tracer = get_tracer( __name__, "", tracer_provider, - schema_url=Schemas.V1_28_0.value, + schema_url=schema, ) event_logger_provider = kwargs.get("event_logger_provider") event_logger = get_event_logger( __name__, "", - schema_url=Schemas.V1_28_0.value, + schema_url=schema, event_logger_provider=event_logger_provider, ) - - method_wrappers = MethodWrappers( - tracer, event_logger, is_content_enabled() + sem_conv_opt_in_mode = _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI, ) + if sem_conv_opt_in_mode == _StabilityMode.DEFAULT: + # Type checker now knows sem_conv_opt_in_mode is a Literal[_StabilityMode.DEFAULT] + method_wrappers = MethodWrappers( + tracer, + event_logger, + is_content_enabled(sem_conv_opt_in_mode), + sem_conv_opt_in_mode, + ) + elif sem_conv_opt_in_mode == _StabilityMode.GEN_AI_LATEST_EXPERIMENTAL: + # Type checker now knows it's the other literal + method_wrappers = MethodWrappers( + tracer, + event_logger, + is_content_enabled(sem_conv_opt_in_mode), + sem_conv_opt_in_mode, + ) + else: + raise RuntimeError(f"{sem_conv_opt_in_mode} mode not supported") for client_class, method_name, wrapper in _methods_to_wrap( method_wrappers ): diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/events.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/events.py index 2b7a9369a8..990af83eaf 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/events.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/events.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +# type: ignore[reportUnknownDeprecated] + """ Factories for event types described in https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-events.md#system-event. diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/patch.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/patch.py index 2d24c5d9ad..c35a9a317a 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/patch.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/patch.py @@ -20,12 +20,20 @@ Any, Awaitable, Callable, + Literal, MutableSequence, + Union, + cast, + overload, ) from opentelemetry._events import EventLogger +from opentelemetry.instrumentation._semconv import ( + _StabilityMode, +) from opentelemetry.instrumentation.vertexai.utils import ( GenerateContentParams, + create_operation_details_event, get_genai_request_attributes, get_genai_response_attributes, get_server_attributes, @@ -34,6 +42,7 @@ response_to_events, ) from opentelemetry.trace import SpanKind, Tracer +from opentelemetry.util.genai.types import ContentCapturingMode if TYPE_CHECKING: from google.cloud.aiplatform_v1.services.prediction_service import client @@ -89,17 +98,96 @@ def _extract_params( ) +# For details about GEN_AI_LATEST_EXPERIMENTAL stability mode see +# https://github.com/open-telemetry/semantic-conventions/blob/v1.37.0/docs/gen-ai/gen-ai-agent-spans.md?plain=1#L18-L37 class MethodWrappers: + @overload + def __init__( + self, + tracer: Tracer, + event_logger: EventLogger, + capture_content: ContentCapturingMode, + sem_conv_opt_in_mode: Literal[ + _StabilityMode.GEN_AI_LATEST_EXPERIMENTAL + ], + ) -> None: ... + + @overload + def __init__( + self, + tracer: Tracer, + event_logger: EventLogger, + capture_content: bool, + sem_conv_opt_in_mode: Literal[_StabilityMode.DEFAULT], + ) -> None: ... + def __init__( - self, tracer: Tracer, event_logger: EventLogger, capture_content: bool + self, + tracer: Tracer, + event_logger: EventLogger, + capture_content: Union[bool, ContentCapturingMode], + sem_conv_opt_in_mode: Union[ + Literal[_StabilityMode.DEFAULT], + Literal[_StabilityMode.GEN_AI_LATEST_EXPERIMENTAL], + ], ) -> None: self.tracer = tracer self.event_logger = event_logger self.capture_content = capture_content + self.sem_conv_opt_in_mode = sem_conv_opt_in_mode + + @contextmanager + def _with_new_instrumentation( + self, + capture_content: ContentCapturingMode, + instance: client.PredictionServiceClient + | client_v1beta1.PredictionServiceClient, + args: Any, + kwargs: Any, + ): + params = _extract_params(*args, **kwargs) + api_endpoint: str = instance.api_endpoint # type: ignore[reportUnknownMemberType] + span_attributes = { + **get_genai_request_attributes(False, params), + **get_server_attributes(api_endpoint), + } + + span_name = get_span_name(span_attributes) + + with self.tracer.start_as_current_span( + name=span_name, + kind=SpanKind.CLIENT, + attributes=span_attributes, + ) as span: + + def handle_response( + response: prediction_service.GenerateContentResponse + | prediction_service_v1beta1.GenerateContentResponse + | None, + ) -> None: + if span.is_recording() and response: + # When streaming, this is called multiple times so attributes would be + # overwritten. In practice, it looks the API only returns the interesting + # attributes on the last streamed response. However, I couldn't find + # documentation for this and setting attributes shouldn't be too expensive. + span.set_attributes( + get_genai_response_attributes(response) + ) + self.event_logger.emit( + create_operation_details_event( + api_endpoint=api_endpoint, + params=params, + capture_content=capture_content, + response=response, + ) + ) + + yield handle_response @contextmanager - def _with_instrumentation( + def _with_default_instrumentation( self, + capture_content: bool, instance: client.PredictionServiceClient | client_v1beta1.PredictionServiceClient, args: Any, @@ -108,7 +196,7 @@ def _with_instrumentation( params = _extract_params(*args, **kwargs) api_endpoint: str = instance.api_endpoint # type: ignore[reportUnknownMemberType] span_attributes = { - **get_genai_request_attributes(params), + **get_genai_request_attributes(False, params), **get_server_attributes(api_endpoint), } @@ -120,7 +208,7 @@ def _with_instrumentation( attributes=span_attributes, ) as span: for event in request_to_events( - params=params, capture_content=self.capture_content + params=params, capture_content=capture_content ): self.event_logger.emit(event) @@ -141,7 +229,7 @@ def handle_response( ) for event in response_to_events( - response=response, capture_content=self.capture_content + response=response, capture_content=capture_content ): self.event_logger.emit(event) @@ -162,12 +250,25 @@ def generate_content( prediction_service.GenerateContentResponse | prediction_service_v1beta1.GenerateContentResponse ): - with self._with_instrumentation( - instance, args, kwargs - ) as handle_response: - response = wrapped(*args, **kwargs) - handle_response(response) - return response + if self.sem_conv_opt_in_mode == _StabilityMode.DEFAULT: + capture_content_bool = cast(bool, self.capture_content) + with self._with_default_instrumentation( + capture_content_bool, instance, args, kwargs + ) as handle_response: + response = wrapped(*args, **kwargs) + handle_response(response) + return response + else: + capture_content = cast(ContentCapturingMode, self.capture_content) + with self._with_new_instrumentation( + capture_content, instance, args, kwargs + ) as handle_response: + response = None + try: + response = wrapped(*args, **kwargs) + return response + finally: + handle_response(response) async def agenerate_content( self, @@ -186,9 +287,22 @@ async def agenerate_content( prediction_service.GenerateContentResponse | prediction_service_v1beta1.GenerateContentResponse ): - with self._with_instrumentation( - instance, args, kwargs - ) as handle_response: - response = await wrapped(*args, **kwargs) - handle_response(response) - return response + if self.sem_conv_opt_in_mode == _StabilityMode.DEFAULT: + capture_content_bool = cast(bool, self.capture_content) + with self._with_default_instrumentation( + capture_content_bool, instance, args, kwargs + ) as handle_response: + response = await wrapped(*args, **kwargs) + handle_response(response) + return response + else: + capture_content = cast(ContentCapturingMode, self.capture_content) + with self._with_new_instrumentation( + capture_content, instance, args, kwargs + ) as handle_response: + response = None + try: + response = await wrapped(*args, **kwargs) + return response + finally: + handle_response(response) diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py index b92dfc79eb..c9c370794e 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py @@ -12,27 +12,34 @@ # See the License for the specific language governing permissions and # limitations under the License. +# type: ignore[reportUnknownDeprecated] + from __future__ import annotations import re -from dataclasses import dataclass +from dataclasses import asdict, dataclass from os import environ from typing import ( TYPE_CHECKING, Iterable, + Literal, Mapping, Sequence, + Union, cast, + overload, ) from urllib.parse import urlparse from google.protobuf import json_format from opentelemetry._events import Event +from opentelemetry.instrumentation._semconv import ( + _StabilityMode, +) from opentelemetry.instrumentation.vertexai.events import ( ChoiceMessage, ChoiceToolCall, - FinishReason, assistant_event, choice_event, system_event, @@ -43,6 +50,17 @@ gen_ai_attributes as GenAIAttributes, ) from opentelemetry.semconv.attributes import server_attributes +from opentelemetry.util.genai.types import ( + ContentCapturingMode, + FinishReason, + InputMessage, + MessagePart, + OutputMessage, + Text, + ToolCall, + ToolCallResponse, +) +from opentelemetry.util.genai.utils import get_content_capturing_mode from opentelemetry.util.types import AnyValue, AttributeValue if TYPE_CHECKING: @@ -103,7 +121,8 @@ def get_server_attributes( } -def get_genai_request_attributes( +def get_genai_request_attributes( # pylint: disable=too-many-branches + use_latest_semconvs: bool, params: GenerateContentParams, operation_name: GenAIAttributes.GenAiOperationNameValues = GenAIAttributes.GenAiOperationNameValues.CHAT, ): @@ -111,9 +130,12 @@ def get_genai_request_attributes( generation_config = params.generation_config attributes: dict[str, AttributeValue] = { GenAIAttributes.GEN_AI_OPERATION_NAME: operation_name.value, - GenAIAttributes.GEN_AI_SYSTEM: GenAIAttributes.GenAiSystemValues.VERTEX_AI.value, GenAIAttributes.GEN_AI_REQUEST_MODEL: model, } + if not use_latest_semconvs: + attributes[GenAIAttributes.GEN_AI_SYSTEM] = ( + GenAIAttributes.GenAiSystemValues.VERTEX_AI.value + ) if not generation_config: return attributes @@ -125,6 +147,8 @@ def get_genai_request_attributes( generation_config.temperature ) if "top_p" in generation_config: + # There is also a top_k parameter ( The maximum number of tokens to consider when sampling.), + # but no semconv yet exists for it. attributes[GenAIAttributes.GEN_AI_REQUEST_TOP_P] = ( generation_config.top_p ) @@ -140,16 +164,28 @@ def get_genai_request_attributes( attributes[GenAIAttributes.GEN_AI_REQUEST_FREQUENCY_PENALTY] = ( generation_config.frequency_penalty ) - # Uncomment once GEN_AI_REQUEST_SEED is released in 1.30 - # https://github.com/open-telemetry/semantic-conventions/pull/1710 - # if "seed" in generation_config: - # attributes[GenAIAttributes.GEN_AI_REQUEST_SEED] = ( - # generation_config.seed - # ) if "stop_sequences" in generation_config: attributes[GenAIAttributes.GEN_AI_REQUEST_STOP_SEQUENCES] = ( generation_config.stop_sequences ) + if use_latest_semconvs: + if "seed" in generation_config: + attributes[GenAIAttributes.GEN_AI_REQUEST_SEED] = ( + generation_config.seed + ) + if "candidate_count" in generation_config: + attributes[GenAIAttributes.GEN_AI_REQUEST_CHOICE_COUNT] = ( + generation_config.candidate_count + ) + if "response_mime_type" in generation_config: + if generation_config.response_mime_type == "text/plain": + attributes[GenAIAttributes.GEN_AI_OUTPUT_TYPE] = "text" + elif generation_config.response_mime_type == "application/json": + attributes[GenAIAttributes.GEN_AI_OUTPUT_TYPE] = "json" + else: + attributes[GenAIAttributes.GEN_AI_OUTPUT_TYPE] = ( + generation_config.response_mime_type + ) return attributes @@ -162,8 +198,6 @@ def get_genai_response_attributes( _map_finish_reason(candidate.finish_reason) for candidate in response.candidates ] - # TODO: add gen_ai.response.id once available in the python client - # https://github.com/open-telemetry/opentelemetry-python-contrib/issues/3246 return { GenAIAttributes.GEN_AI_RESPONSE_MODEL: response.model_version, GenAIAttributes.GEN_AI_RESPONSE_FINISH_REASONS: finish_reasons, @@ -186,12 +220,29 @@ def _get_model_name(model: str) -> str: ) -def is_content_enabled() -> bool: - capture_content = environ.get( - OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, "false" - ) +@overload +def is_content_enabled( + mode: Literal[_StabilityMode.GEN_AI_LATEST_EXPERIMENTAL], +) -> ContentCapturingMode: ... - return capture_content.lower() == "true" + +@overload +def is_content_enabled(mode: Literal[_StabilityMode.DEFAULT]) -> bool: ... + + +def is_content_enabled( + mode: Union[ + Literal[_StabilityMode.DEFAULT], + Literal[_StabilityMode.GEN_AI_LATEST_EXPERIMENTAL], + ], +) -> Union[bool, ContentCapturingMode]: + if mode == _StabilityMode.DEFAULT: + capture_content = environ.get( + OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, "false" + ) + + return capture_content.lower() == "true" + return get_content_capturing_mode() def get_span_name(span_attributes: Mapping[str, AttributeValue]) -> str: @@ -240,7 +291,7 @@ def request_to_events( id_=f"{function_response.name}_{idx}", role=content.role, content=json_format.MessageToDict( - function_response._pb.response + function_response._pb.response # type: ignore[reportUnknownMemberType] ) if capture_content else None, @@ -256,6 +307,100 @@ def request_to_events( yield user_event(role=content.role, content=request_content) +def create_operation_details_event( + *, + api_endpoint: str, + response: prediction_service.GenerateContentResponse + | prediction_service_v1beta1.GenerateContentResponse + | None, + params: GenerateContentParams, + capture_content: ContentCapturingMode, +) -> Event: + event = Event(name="gen_ai.client.inference.operation.details") + attributes: dict[str, AnyValue] = { + **get_genai_request_attributes(True, params), + **get_server_attributes(api_endpoint), + **(get_genai_response_attributes(response) if response else {}), + } + event.attributes = attributes + if capture_content in { + ContentCapturingMode.NO_CONTENT, + ContentCapturingMode.SPAN_ONLY, + }: + return event + if params.system_instruction: + attributes[GenAIAttributes.GEN_AI_SYSTEM_INSTRUCTIONS] = [ + { + "type": "text", + "content": "\n".join( + part.text for part in params.system_instruction.parts + ), + } + ] + if params.contents: + attributes[GenAIAttributes.GEN_AI_INPUT_MESSAGES] = [ + asdict(_convert_content_to_message(content)) + for content in params.contents + ] + if response and response.candidates: + attributes[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES] = [ + asdict(x) for x in _convert_response_to_output_messages(response) + ] + return event + + +def _convert_response_to_output_messages( + response: prediction_service.GenerateContentResponse + | prediction_service_v1beta1.GenerateContentResponse, +) -> list[OutputMessage]: + output_messages: list[OutputMessage] = [] + for candidate in response.candidates: + message = _convert_content_to_message(candidate.content) + output_messages.append( + OutputMessage( + finish_reason=_map_finish_reason(candidate.finish_reason), + role=message.role, + parts=message.parts, + ) + ) + return output_messages + + +def _convert_content_to_message( + content: content.Content | content_v1beta1.Content, +) -> InputMessage: + parts: MessagePart = [] + for idx, part in enumerate(content.parts): + if "function_response" in part: + part = part.function_response + parts.append( + ToolCallResponse( + id=f"{part.name}_{idx}", + response=json_format.MessageToDict(part._pb.response), # type: ignore[reportUnknownMemberType] + ) + ) + elif "function_call" in part: + part = part.function_call + parts.append( + ToolCall( + id=f"{part.name}_{idx}", + name=part.name, + arguments=json_format.MessageToDict( + part._pb.args, # type: ignore[reportUnknownMemberType] + ), + ) + ) + elif "text" in part: + parts.append(Text(content=part.text)) + else: + dict_part = type(part).to_dict( # type: ignore[reportUnknownMemberType] + part, always_print_fields_with_no_presence=False + ) + dict_part["type"] = type(part) + parts.append(dict_part) + return InputMessage(role=content.role, parts=parts) + + def response_to_events( *, response: prediction_service.GenerateContentResponse @@ -300,7 +445,7 @@ def _extract_tool_calls( function=ChoiceToolCall.Function( name=part.function_call.name, arguments=json_format.MessageToDict( - part.function_call._pb.args + part.function_call._pb.args # type: ignore[reportUnknownMemberType] ) if capture_content else None, @@ -319,7 +464,9 @@ def _parts_to_any_value( return [ cast( "dict[str, AnyValue]", - type(part).to_dict(part, including_default_value_fields=False), # type: ignore[reportUnknownMemberType] + type(part).to_dict( # type: ignore[reportUnknownMemberType] + part, always_print_fields_with_no_presence=False + ), ) for part in parts ] diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice.yaml index d3dc019ecc..0aaffa5667 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice.yaml @@ -49,7 +49,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -65,7 +65,8 @@ interactions: "args": { "location": "New Delhi" } - } + }, + "thoughtSignature": "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" }, { "functionCall": { @@ -78,17 +79,18 @@ interactions: ] }, "finishReason": 1, - "avgLogprobs": -0.00018152029952034354 + "avgLogprobs": -1.0146095752716064 } ], "usageMetadata": { - "promptTokenCount": 72, + "promptTokenCount": 74, "candidatesTokenCount": 16, - "totalTokenCount": 88, + "totalTokenCount": 290, + "trafficType": 1, "promptTokensDetails": [ { "modality": 1, - "tokenCount": 72 + "tokenCount": 74 } ], "candidatesTokensDetails": [ @@ -96,11 +98,12 @@ interactions: "modality": 1, "tokenCount": 16 } - ] + ], + "thoughtsTokenCount": 200 }, - "modelVersion": "gemini-1.5-flash-002", - "createTime": "2025-02-06T04:26:30.610859Z", - "responseId": "9jmkZ6ukJb382PgPrp7zsQw" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:25.379701Z", + "responseId": "XZCkaLWWF8qm1dkP7rOm6AM" } headers: Content-Type: @@ -112,7 +115,7 @@ interactions: - X-Origin - Referer content-length: - - '1029' + - '2273' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice_no_content.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice_no_content.yaml index 081809e117..b8ab4e086b 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice_no_content.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_function_call_choice_no_content.yaml @@ -49,7 +49,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -65,7 +65,8 @@ interactions: "args": { "location": "New Delhi" } - } + }, + "thoughtSignature": "CvUMAcu98PCpw5XB3NsEMaSIsgMKQrbACcz+SUZ/0Yix+Ha8XBPVSElLdPHCDnwIVhxjuEUB5BY7g1JzVH6akIVmr/14Y4YF7K1ed9ds/c9FdqkrEKVrC8sVYO16/jFhxrBDS7rD8XQHhjVAuf1W1+I8AH4mhuhTqaYEzjvq+Ea0NsiysqxqCyLneKW2nY5QNT0xi/rUEri19FScPfxcCdn7uDcMyvEQaXFiWdyA3jUIfgrh7E42BHv+xj0LGdWQ8FXJNBjFed6qcarpul7yAImSlyoXJxAgnJx53XgvacYUN9Eup9Gh5b8bU2c6q8qFMsggiq15kSUN3udbiu0cAilezHalh/OkctHmyXbmLF9qSwr6ZO9ie7Mm6pJxT3lea6VPXeFsUkgqt9TxRvOITDxMPSeoCLBFbPmCbvICrBcRHfms05SzOq9tyfJCPU43X0ge49dnTceHrRvF3IrK7pFzetpK30xFwbsKISARZHZuK49iUUjexHlH2ePpCrWgKkp0YqbGuamJWtj1F6Lj/nw45O+ke+55WhPAtam2NAX4MYkN/AMCVyemq5sNi8nC+Pc5T1GCsGmBDYyy8fftG2pZlwMfS4Mu2ta4kD92cj4Zt29Mvb0jIF1smWWiLSfiqRCAt41oK5CZRUz4cEqTulOfTY5NqBUHODsqWkxG6Zei90KFGb99itmHvy9j/HNPHLbqccGiIdJTWE52EFlTCXNoIgn9wPXMiLs+ScdgVcfcl4Tq9DoPrezddjEgLknz5dwOefayzNBSR0xVk3nQiPvWkCMJaqCQ2rmVou8yRugAltW2jsImPcoOdSdmMIJ4MA6O4GGNus8PAaov4VJJY33BSRZ+qsdMhndpcxCO4c7ygkRv+3QaxdgYTlxPyiPm6Gi3BbxHoU7pAlO/rEgUUqA3CvuCHObeUCC7Re/lPPL7HJS0sn6iXbQ+xZuQ0yucd664MQYTNOxrw0IL6oZUM4u8APJJbB9MixypSWC9av68O6+nANO7e6hvQTsvBcDezLt54cFoykqGDSzxMXvjCY4Vf0HQYzWMQU/hsv8Xe8f2iHdS2xgpUKfBqoQmduPPU13Z1EdKfGA1fQv6psM4fO4fqIi4SqcXuRZqDA2kzVyqkRR811m9oe/Prje9IytviLoMuRTO37WUxeGyPvE74c64SAb2F9/AGO+BhzFAUEHcFqU1i1YilrbURamlt3ckajCfCNCb/93jw64QaeE8lmVhL7wzgjjSme0lXWqjnY8QTH2bUb5nuapyGZcyNrwFnvK5NNLHgS9opAXN+3pKT/LPAAwTRgGH1w0JiwVPa0lfNHnSPCtTBNU35B8SSEWyln416wKOhh+uaJuB8NxuGaDyTwAgvvvH/7rWMAWmyJj3eS3AXUdjdqfOi3cNb/4H5aWXi4ydt/uLv2X+carFVrmq0dFxTqbSkBt+N2DTVWtI+aQG3OQ6gI7vOj3E82CuB/A6/atONMJ8SwNAgDG4iT4Z2sgDV5csuvNx7ssp/PS06lcziZEZyO8YRem8C/Worda9AT2DvWqRdDmuB1vEuhH7RNBsq8s4NZolgNLD3kI6OdvaFK6bvfuFzdsG4P2Ngw7v6AfQYYVPcz9WgovoLSPOy7UA0baxboSbTwxUqnWnX/AgxDbPIzNXKY2UUAA/nnK3RXHUcW/uKdz4C5i3ECttqBGK8gfSPS61fHCSqrlGYmbjlFHmg2trMbyu9pM4DEWBq57AR9BwL6/Smhv7uRWHnOxg/tHNEH7JOOHy4zW/d3Ni4EyLzE/loxQ3wZPzw2gas9ROMq8Z1ht22g/MUd+sL34fx/0hEIvZ9Tu21wyznCyr6R/mfXK9n75kqpehQ87p87W95HK0cvT8sqnhPrCFbghGWwtd9F1pRUOHrYESqQ63PK3Sgt91PcGu8lYTr/CS7fkAXmdRLXoioXVKP0EjwRFbO7pryHY1nOwZEU4RprNYyJYyVOavxpc8pC+blUIHrANKwTyYVnX7/Vfa3VFAfC/1PcObSeUpbuc+7MzYzltjzZnly8yILKDmulagTxoRQOiKvqCM3fq0OMYiivAs2+Zii4ZR8B+bM87NKkHvF69VJDF+iwwWT9MjXh8Ju0rvtrxds64Xl8/E9Uv+gnRp3VOIcttqsNuCssSnV5Yj7LRS1glUXbIwBJeXSjevjydOuQOYdn8S6s5Sd95g91tc8vpqGGP1" }, { "functionCall": { @@ -78,17 +79,18 @@ interactions: ] }, "finishReason": 1, - "avgLogprobs": -0.00018169169197790325 + "avgLogprobs": -1.5602271556854248 } ], "usageMetadata": { - "promptTokenCount": 72, + "promptTokenCount": 74, "candidatesTokenCount": 16, - "totalTokenCount": 88, + "totalTokenCount": 482, + "trafficType": 1, "promptTokensDetails": [ { "modality": 1, - "tokenCount": 72 + "tokenCount": 74 } ], "candidatesTokensDetails": [ @@ -96,11 +98,12 @@ interactions: "modality": 1, "tokenCount": 16 } - ] + ], + "thoughtsTokenCount": 392 }, - "modelVersion": "gemini-1.5-flash-002", - "createTime": "2025-02-06T04:26:31.346685Z", - "responseId": "9zmkZ72UFZ2nnvgP6p3e-As" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:28.661450Z", + "responseId": "YJCkaMqvKPfQgLUPuoKz8QU" } headers: Content-Type: @@ -112,7 +115,7 @@ interactions: - X-Origin - Referer content-length: - - '1029' + - '3317' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content.yaml index 69856f9308..9873a0e006 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content.yaml @@ -27,7 +27,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -38,20 +38,36 @@ interactions: "role": "model", "parts": [ { - "text": "Okay, I understand. I'm ready for your test. Please proceed.\n" + "text": "This is a test." } ] }, "finishReason": 1, - "avgLogprobs": -0.005692833348324424 + "avgLogprobs": -12.052484893798828 } ], "usageMetadata": { "promptTokenCount": 5, - "candidatesTokenCount": 19, - "totalTokenCount": 24 + "candidatesTokenCount": 5, + "totalTokenCount": 304, + "trafficType": 1, + "promptTokensDetails": [ + { + "modality": 1, + "tokenCount": 5 + } + ], + "candidatesTokensDetails": [ + { + "modality": 1, + "tokenCount": 5 + } + ], + "thoughtsTokenCount": 294 }, - "modelVersion": "gemini-1.5-flash-002" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T15:20:47.464265Z", + "responseId": "T5akaImrHM2Dm9IPlu_Z0QI" } headers: Content-Type: @@ -63,7 +79,7 @@ interactions: - X-Origin - Referer content-length: - - '453' + - '740' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_all_events.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_all_events.yaml index 47c5ce6645..1ca8e3adc7 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_all_events.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_all_events.yaml @@ -51,7 +51,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -62,20 +62,36 @@ interactions: "role": "model", "parts": [ { - "text": "OpenTelemetry, this is a test.\n" + "text": "OpenTelemetry, this is a test." } ] }, "finishReason": 1, - "avgLogprobs": -1.1655389850299496e-06 + "avgLogprobs": -8.984109878540039 } ], "usageMetadata": { "promptTokenCount": 25, - "candidatesTokenCount": 9, - "totalTokenCount": 34 + "candidatesTokenCount": 8, + "totalTokenCount": 439, + "trafficType": 1, + "promptTokensDetails": [ + { + "modality": 1, + "tokenCount": 25 + } + ], + "candidatesTokensDetails": [ + { + "modality": 1, + "tokenCount": 8 + } + ], + "thoughtsTokenCount": 406 }, - "modelVersion": "gemini-1.5-flash-002" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:12.290295Z", + "responseId": "UJCkaPfbEdDxgLUPhardyQg" } headers: Content-Type: @@ -87,7 +103,7 @@ interactions: - X-Origin - Referer content-length: - - '422' + - '757' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_extra_params.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_extra_params.yaml index e6547166bc..b3ab270d3b 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_extra_params.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_extra_params.yaml @@ -39,7 +39,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -47,23 +47,26 @@ interactions: "candidates": [ { "content": { - "role": "model", - "parts": [ - { - "text": "Okay, I understand." - } - ] + "role": "model" }, - "finishReason": 2, - "avgLogprobs": -0.006721805781126022 + "finishReason": 2 } ], "usageMetadata": { "promptTokenCount": 5, - "candidatesTokenCount": 5, - "totalTokenCount": 10 + "totalTokenCount": 9, + "trafficType": 1, + "promptTokensDetails": [ + { + "modality": 1, + "tokenCount": 5 + } + ], + "thoughtsTokenCount": 4 }, - "modelVersion": "gemini-1.5-flash-002" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T15:18:43.287437Z", + "responseId": "05WkaM3FEaGSmecPxYzosQM" } headers: Content-Type: @@ -75,7 +78,7 @@ interactions: - X-Origin - Referer content-length: - - '407' + - '468' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_role.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_role.yaml index dcc40f2fdf..ed7590ba39 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_role.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_role.yaml @@ -27,7 +27,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -49,7 +49,7 @@ interactions: - X-Origin - Referer content-length: - - '416' + - '817' status: code: 400 message: Bad Request diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_temperature.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_temperature.yaml index 600635f9b2..ceb6891d2b 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_temperature.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_invalid_temperature.yaml @@ -30,7 +30,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -52,7 +52,7 @@ interactions: - X-Origin - Referer content-length: - - '809' + - '1472' status: code: 400 message: Bad Request diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_missing_model.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_missing_model.yaml index efe3e152ce..aa4a4e35d0 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_missing_model.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_missing_model.yaml @@ -34,7 +34,7 @@ interactions: { "error": { "code": 404, - "message": "Publisher Model `projects/otel-starter-project/locations/us-central1/publishers/google/models/gemini-does-not-exist` not found.", + "message": "Publisher Model `projects/fake-project/locations/us-central1/publishers/google/models/gemini-does-not-exist` not found.", "status": "NOT_FOUND", "details": [] } @@ -49,7 +49,7 @@ interactions: - X-Origin - Referer content-length: - - '672' + - '1139' status: code: 404 message: Not Found diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_without_events.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_without_events.yaml index 0a71d24512..b9d53bd6d7 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_without_events.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_generate_content_without_events.yaml @@ -27,7 +27,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -38,20 +38,36 @@ interactions: "role": "model", "parts": [ { - "text": "Okay, I understand. I'm ready for your test. Please proceed.\n" + "text": "This is a test." } ] }, "finishReason": 1, - "avgLogprobs": -0.005519990466142956 + "avgLogprobs": -14.465771484375 } ], "usageMetadata": { "promptTokenCount": 5, - "candidatesTokenCount": 19, - "totalTokenCount": 24 + "candidatesTokenCount": 5, + "totalTokenCount": 354, + "trafficType": 1, + "promptTokensDetails": [ + { + "modality": 1, + "tokenCount": 5 + } + ], + "candidatesTokensDetails": [ + { + "modality": 1, + "tokenCount": 5 + } + ], + "thoughtsTokenCount": 344 }, - "modelVersion": "gemini-1.5-flash-002" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T15:18:37.008618Z", + "responseId": "zZWkaKpDipOZ5w__8qRQ" } headers: Content-Type: @@ -63,7 +79,7 @@ interactions: - X-Origin - Referer content-length: - - '453' + - '734' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_preview_generate_content_all_input_events.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_preview_generate_content_all_input_events.yaml index 23c749e6fe..0b66f339b1 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_preview_generate_content_all_input_events.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_preview_generate_content_all_input_events.yaml @@ -51,7 +51,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1beta1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1beta1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -62,18 +62,19 @@ interactions: "role": "model", "parts": [ { - "text": "OpenTelemetry, this is a test.\n" + "text": "OpenTelemetry, this is a test." } ] }, "finishReason": 1, - "avgLogprobs": -1.1655389850299496e-06 + "avgLogprobs": -7.633238792419434 } ], "usageMetadata": { "promptTokenCount": 25, - "candidatesTokenCount": 9, - "totalTokenCount": 34, + "candidatesTokenCount": 8, + "totalTokenCount": 400, + "trafficType": 1, "promptTokensDetails": [ { "modality": 1, @@ -83,13 +84,14 @@ interactions: "candidatesTokensDetails": [ { "modality": 1, - "tokenCount": 9 + "tokenCount": 8 } - ] + ], + "thoughtsTokenCount": 367 }, - "modelVersion": "gemini-1.5-flash-002", - "createTime": "2025-02-03T22:15:35.089616Z", - "responseId": "B0ChZ5C8BbXInvgP19PTyA4" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:21.164378Z", + "responseId": "WZCkaJqECuavgLUP4fGpsQs" } headers: Content-Type: @@ -101,7 +103,7 @@ interactions: - X-Origin - Referer content-length: - - '715' + - '757' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events.yaml index 115c520da1..f98d9ce601 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events.yaml @@ -91,7 +91,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -102,34 +102,37 @@ interactions: "role": "model", "parts": [ { - "text": "The current temperature in New Delhi is 35 degrees Celsius and in San Francisco is 25 degrees Celsius.\n" + "text": "The current temperature in New Delhi is 35\u00b0C, and in San Francisco, it is 25\u00b0C.", + "thoughtSignature": "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" } ] }, "finishReason": 1, - "avgLogprobs": -0.05196272830168406 + "avgLogprobs": -1.1418917729304388 } ], "usageMetadata": { - "promptTokenCount": 126, - "candidatesTokenCount": 24, - "totalTokenCount": 150, + "promptTokenCount": 128, + "candidatesTokenCount": 26, + "totalTokenCount": 846, + "trafficType": 1, "promptTokensDetails": [ { "modality": 1, - "tokenCount": 126 + "tokenCount": 128 } ], "candidatesTokensDetails": [ { "modality": 1, - "tokenCount": 24 + "tokenCount": 26 } - ] + ], + "thoughtsTokenCount": 692 }, - "modelVersion": "gemini-1.5-flash-002", - "createTime": "2025-02-06T04:26:32.376510Z", - "responseId": "-DmkZ779FrGM2PgPtOGmmA8" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:33.172473Z", + "responseId": "ZZCkaLnDCuavgLUP4fGpsQs" } headers: Content-Type: @@ -141,7 +144,7 @@ interactions: - X-Origin - Referer content-length: - - '790' + - '4256' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events_no_content.yaml b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events_no_content.yaml index 0c4ae82f8f..20a8db0761 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events_no_content.yaml +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_tool_events_no_content.yaml @@ -91,7 +91,7 @@ interactions: User-Agent: - python-requests/2.32.3 method: POST - uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint + uri: https://us-central1-aiplatform.googleapis.com/v1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-2.5-pro:generateContent?%24alt=json%3Benum-encoding%3Dint response: body: string: |- @@ -102,34 +102,37 @@ interactions: "role": "model", "parts": [ { - "text": "The current temperature in New Delhi is 35 degrees Celsius and in San Francisco is 25 degrees Celsius.\n" + "text": "The weather in New Delhi is 35\u00b0C and in San Francisco is 25\u00b0C.", + "thoughtSignature": 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} ] }, "finishReason": 1, - "avgLogprobs": -0.05223702887694041 + "avgLogprobs": -1.18875130740079 } ], "usageMetadata": { - "promptTokenCount": 126, - "candidatesTokenCount": 24, - "totalTokenCount": 150, + "promptTokenCount": 128, + "candidatesTokenCount": 22, + "totalTokenCount": 575, + "trafficType": 1, "promptTokensDetails": [ { "modality": 1, - "tokenCount": 126 + "tokenCount": 128 } ], "candidatesTokensDetails": [ { "modality": 1, - "tokenCount": 24 + "tokenCount": 22 } - ] + ], + "thoughtsTokenCount": 425 }, - "modelVersion": "gemini-1.5-flash-002", - "createTime": "2025-02-06T04:26:33.660225Z", - "responseId": "-TmkZ4GmKIH12PgPof-uQQ" + "modelVersion": "gemini-2.5-pro", + "createTime": "2025-08-19T14:55:39.882212Z", + "responseId": "a5CkaKTsNa3hgLUP59n1oQo" } headers: Content-Type: @@ -141,7 +144,7 @@ interactions: - X-Origin - Referer content-length: - - '789' + - '3277' status: code: 200 message: OK diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/conftest.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/conftest.py index fb0956f0b5..c642eebcf4 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/conftest.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/conftest.py @@ -1,18 +1,39 @@ """Unit tests configuration module.""" +import asyncio import json import os import re -from typing import Any, Mapping, MutableMapping +from typing import ( + Any, + Callable, + Generator, + Mapping, + MutableMapping, + Protocol, + TypeVar, +) import pytest import vertexai import yaml +from google.auth.aio.credentials import ( + AnonymousCredentials as AsyncAnonymousCredentials, +) from google.auth.credentials import AnonymousCredentials +from google.cloud.aiplatform.initializer import _set_async_rest_credentials +from typing_extensions import Concatenate, ParamSpec from vcr import VCR from vcr.record_mode import RecordMode from vcr.request import Request +from vertexai.generative_models import ( + GenerativeModel, +) +from opentelemetry.instrumentation._semconv import ( + OTEL_SEMCONV_STABILITY_OPT_IN, + _OpenTelemetrySemanticConventionStability, +) from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor from opentelemetry.instrumentation.vertexai.utils import ( OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, @@ -94,10 +115,13 @@ def vertexai_init(vcr: VCR) -> None: ) -@pytest.fixture +@pytest.fixture(scope="function") def instrument_no_content( - tracer_provider, event_logger_provider, meter_provider + tracer_provider, event_logger_provider, meter_provider, request ): + # Reset global state.. + _OpenTelemetrySemanticConventionStability._initialized = False + os.environ.update({OTEL_SEMCONV_STABILITY_OPT_IN: "stable"}) os.environ.update( {OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT: "False"} ) @@ -115,10 +139,64 @@ def instrument_no_content( instrumentor.uninstrument() -@pytest.fixture -def instrument_with_content( +@pytest.fixture(scope="function") +def instrument_no_content_with_experimental_semconvs( + tracer_provider, event_logger_provider, meter_provider, request +): + # Reset global state.. + _OpenTelemetrySemanticConventionStability._initialized = False + os.environ.update( + {OTEL_SEMCONV_STABILITY_OPT_IN: "gen_ai_latest_experimental"} + ) + os.environ.update( + {OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT: "NO_CONTENT"} + ) + + instrumentor = VertexAIInstrumentor() + instrumentor.instrument( + tracer_provider=tracer_provider, + event_logger_provider=event_logger_provider, + meter_provider=meter_provider, + ) + + yield instrumentor + os.environ.pop(OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, None) + if instrumentor.is_instrumented_by_opentelemetry: + instrumentor.uninstrument() + + +@pytest.fixture(scope="function") +def instrument_with_experimental_semconvs( tracer_provider, event_logger_provider, meter_provider ): + # Reset global state.. + _OpenTelemetrySemanticConventionStability._initialized = False + os.environ.update( + {OTEL_SEMCONV_STABILITY_OPT_IN: "gen_ai_latest_experimental"} + ) + os.environ.update( + {OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT: "SPAN_AND_EVENT"} + ) + instrumentor = VertexAIInstrumentor() + instrumentor.instrument( + tracer_provider=tracer_provider, + event_logger_provider=event_logger_provider, + meter_provider=meter_provider, + ) + + yield instrumentor + os.environ.pop(OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, None) + if instrumentor.is_instrumented_by_opentelemetry: + instrumentor.uninstrument() + + +@pytest.fixture(scope="function") +def instrument_with_content( + tracer_provider, event_logger_provider, meter_provider, request +): + # Reset global state.. + _OpenTelemetrySemanticConventionStability._initialized = False + os.environ.update({OTEL_SEMCONV_STABILITY_OPT_IN: "stable"}) os.environ.update( {OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT: "True"} ) @@ -239,3 +317,53 @@ def deserialize(cassette_string): def fixture_vcr(vcr): vcr.register_serializer("yaml", PrettyPrintJSONBody) return vcr + + +_P = ParamSpec("_P") +_R = TypeVar("_R") + + +def _copy_signature( + func_type: Callable[_P, _R], +) -> Callable[ + [Callable[..., Any]], Callable[Concatenate[GenerativeModel, _P], _R] +]: + return lambda func: func + + +# Type annotation for fixture to make LSP work properly +class GenerateContentFixture(Protocol): + @_copy_signature(GenerativeModel.generate_content) + def __call__(self): ... + + +@pytest.fixture( + name="generate_content", + params=( + pytest.param(False, id="sync"), + pytest.param(True, id="async"), + ), +) +def fixture_generate_content( + request: pytest.FixtureRequest, + vcr: VCR, +) -> Generator[GenerateContentFixture, None, None]: + """This fixture parameterizes tests that use it to test calling both + GenerativeModel.generate_content() and GenerativeModel.generate_content_async(). + """ + is_async: bool = request.param + + if is_async: + # See + # https://github.com/googleapis/python-aiplatform/blob/cb0e5fedbf45cb0531c0b8611fb7fabdd1f57e56/google/cloud/aiplatform/initializer.py#L717-L729 + _set_async_rest_credentials(credentials=AsyncAnonymousCredentials()) + + def wrapper(model: GenerativeModel, *args, **kwargs) -> None: + if is_async: + return asyncio.run(model.generate_content_async(*args, **kwargs)) + return model.generate_content(*args, **kwargs) + + with vcr.use_cassette( + request.node.originalname, allow_playback_repeats=True + ): + yield wrapper diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.latest.txt b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.latest.txt index 51fa72def4..1497f0fc3a 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.latest.txt +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.latest.txt @@ -90,3 +90,4 @@ zipp==3.20.2 -e opentelemetry-instrumentation -e instrumentation-genai/opentelemetry-instrumentation-vertexai[instruments] +-e util/opentelemetry-util-genai diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.oldest.txt b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.oldest.txt index 304a5698c7..b38d74c562 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.oldest.txt +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/requirements.oldest.txt @@ -64,11 +64,12 @@ vcrpy==6.0.2 wrapt==1.16.0 yarl==1.15.2 zipp==3.20.2 - # when updating, also update in pyproject.toml -opentelemetry-api==1.28 -opentelemetry-sdk==1.28 -opentelemetry-semantic-conventions==0.49b0 -opentelemetry-instrumentation==0.49b0 +opentelemetry-api==1.37 +opentelemetry-sdk==1.37 +opentelemetry-semantic-conventions==0.58b0 +opentelemetry-instrumentation==0.58b0 + -e instrumentation-genai/opentelemetry-instrumentation-vertexai[instruments] +-e util/opentelemetry-util-genai diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/shared_test_utils.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/shared_test_utils.py new file mode 100644 index 0000000000..f9c15500d1 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/shared_test_utils.py @@ -0,0 +1,122 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from vertexai.generative_models import ( + Content, + FunctionDeclaration, + GenerativeModel, + Part, + Tool, +) + + +def weather_tool() -> Tool: + # Adapted from https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling#parallel-samples + get_current_weather_func = FunctionDeclaration( + name="get_current_weather", + description="Get the current weather in a given location", + parameters={ + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The location for which to get the weather. " + "It can be a city name, a city name and state, or a zip code. " + "Examples: 'San Francisco', 'San Francisco, CA', '95616', etc.", + }, + }, + }, + ) + return Tool( + function_declarations=[get_current_weather_func], + ) + + +def ask_about_weather(generate_content: callable) -> None: + model = GenerativeModel("gemini-2.5-pro", tools=[weather_tool()]) + # Model will respond asking for function calls + generate_content( + model, + [ + # User asked about weather + Content( + role="user", + parts=[ + Part.from_text( + "Get weather details in New Delhi and San Francisco?" + ), + ], + ), + ], + ) + + +def ask_about_weather_function_response( + generate_content: callable, +) -> None: + model = GenerativeModel("gemini-2.5-pro", tools=[weather_tool()]) + generate_content( + model, + [ + # User asked about weather + Content( + role="user", + parts=[ + Part.from_text( + "Get weather details in New Delhi and San Francisco?" + ), + ], + ), + # Model requests two function calls + Content( + role="model", + parts=[ + Part.from_dict( + { + "function_call": { + "name": "get_current_weather", + "args": {"location": "New Delhi"}, + } + }, + ), + Part.from_dict( + { + "function_call": { + "name": "get_current_weather", + "args": {"location": "San Francisco"}, + } + }, + ), + ], + ), + # User responds with function responses + Content( + role="user", + parts=[ + Part.from_function_response( + name="get_current_weather", + response={ + "content": '{"temperature": 35, "unit": "C"}' + }, + ), + Part.from_function_response( + name="get_current_weather", + response={ + "content": '{"temperature": 25, "unit": "C"}' + }, + ), + ], + ), + ], + ) diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py index 0b80bcb745..81d8f08ba9 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py @@ -1,22 +1,7 @@ from __future__ import annotations -import asyncio -from typing import ( - Any, - Callable, - Generator, - Protocol, - TypeVar, -) - import pytest from google.api_core.exceptions import BadRequest, NotFound -from google.auth.aio.credentials import ( - AnonymousCredentials as AsyncAnonymousCredentials, -) -from google.cloud.aiplatform.initializer import _set_async_rest_credentials -from typing_extensions import Concatenate, ParamSpec -from vcr import VCR from vertexai.generative_models import ( Content, GenerationConfig, @@ -38,39 +23,45 @@ from opentelemetry.trace import StatusCode -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content( span_exporter: InMemorySpanExporter, log_exporter: InMemoryLogExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): - model = GenerativeModel("gemini-1.5-flash-002") + model = GenerativeModel("gemini-2.5-pro") generate_content( model, [ - Content(role="user", parts=[Part.from_text("Say this is a test")]), + Content( + role="user", + parts=[ + Part.from_text("Say this is a test"), + ], + ), ], ) # Emits span spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.response.finish_reasons": ("stop",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", "gen_ai.usage.input_tokens": 5, - "gen_ai.usage.output_tokens": 19, + "gen_ai.usage.output_tokens": 5, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, } - # Emits user and choice events logs = log_exporter.get_finished_logs() + + # Emits user and choice events assert len(logs) == 2 user_log, choice_log = [log_data.log_record for log_data in logs] @@ -98,24 +89,20 @@ def test_generate_content( "finish_reason": "stop", "index": 0, "message": { - "content": [ - { - "text": "Okay, I understand. I'm ready for your test. Please proceed.\n" - } - ], + "content": [{"text": "This is a test."}], "role": "model", }, } -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_without_events( span_exporter: InMemorySpanExporter, log_exporter: InMemoryLogExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_no_content: VertexAIInstrumentor, ): - model = GenerativeModel("gemini-1.5-flash-002") + model = GenerativeModel("gemini-2.5-pro") generate_content( model, [ @@ -126,21 +113,21 @@ def test_generate_content_without_events( # Emits span spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.response.finish_reasons": ("stop",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", "gen_ai.usage.input_tokens": 5, - "gen_ai.usage.output_tokens": 19, + "gen_ai.usage.output_tokens": 5, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, } - # Emits user and choice event without body.content logs = log_exporter.get_finished_logs() + # Emits user and choice event without body.content assert len(logs) == 2 user_log, choice_log = [log_data.log_record for log_data in logs] assert user_log.attributes == { @@ -160,10 +147,10 @@ def test_generate_content_without_events( } -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_empty_model( span_exporter: InMemorySpanExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): model = GenerativeModel("") @@ -193,10 +180,10 @@ def test_generate_content_empty_model( assert_span_error(spans[0]) -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_missing_model( span_exporter: InMemorySpanExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): model = GenerativeModel("gemini-does-not-exist") @@ -226,13 +213,13 @@ def test_generate_content_missing_model( assert_span_error(spans[0]) -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_invalid_temperature( span_exporter: InMemorySpanExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): - model = GenerativeModel("gemini-1.5-flash-002") + model = GenerativeModel("gemini-2.5-pro") try: # Temperature out of range causes error generate_content( @@ -249,10 +236,10 @@ def test_generate_content_invalid_temperature( spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.request.temperature": 1000.0, "gen_ai.system": "vertex_ai", "server.address": "us-central1-aiplatform.googleapis.com", @@ -261,13 +248,13 @@ def test_generate_content_invalid_temperature( assert_span_error(spans[0]) -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_invalid_role( log_exporter: InMemoryLogExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): - model = GenerativeModel("gemini-1.5-flash-002") + model = GenerativeModel("gemini-2.5-pro") try: # Fails because role must be "user" or "model" generate_content( @@ -285,11 +272,12 @@ def test_generate_content_invalid_role( # Emits the faulty content which caused the request to fail logs = log_exporter.get_finished_logs() assert len(logs) == 1 - assert logs[0].log_record.attributes == { + log = logs[0].log_record + assert log.attributes == { "gen_ai.system": "vertex_ai", "event.name": "gen_ai.user.message", } - assert logs[0].log_record.body == { + assert log.body == { "content": [{"text": "Say this is a test"}], "role": "invalid_role", } @@ -299,7 +287,7 @@ def test_generate_content_invalid_role( def test_generate_content_extra_params( span_exporter, instrument_no_content, - generate_content: GenerateContentFixture, + generate_content: callable, ): generation_config = GenerationConfig( top_k=2, @@ -311,7 +299,7 @@ def test_generate_content_extra_params( frequency_penalty=1.0, seed=12345, ) - model = GenerativeModel("gemini-1.5-flash-002") + model = GenerativeModel("gemini-2.5-pro") generate_content( model, [ @@ -326,16 +314,16 @@ def test_generate_content_extra_params( "gen_ai.operation.name": "chat", "gen_ai.request.frequency_penalty": 1.0, "gen_ai.request.max_tokens": 5, - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.request.presence_penalty": -1.5, "gen_ai.request.stop_sequences": ("\n\n\n",), "gen_ai.request.temperature": 0.20000000298023224, "gen_ai.request.top_p": 0.949999988079071, "gen_ai.response.finish_reasons": ("length",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", "gen_ai.usage.input_tokens": 5, - "gen_ai.usage.output_tokens": 5, + "gen_ai.usage.output_tokens": 0, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, } @@ -353,46 +341,46 @@ def assert_span_error(span: ReadableSpan) -> None: assert error_events != [] -@pytest.mark.vcr +@pytest.mark.vcr() def test_generate_content_all_events( log_exporter: InMemoryLogExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): generate_content_all_input_events( GenerativeModel( - "gemini-1.5-flash-002", + "gemini-2.5-pro", system_instruction=Part.from_text( "You are a clever language model" ), ), - generate_content, log_exporter, + instrument_with_content, ) -@pytest.mark.vcr +@pytest.mark.vcr() def test_preview_generate_content_all_input_events( log_exporter: InMemoryLogExporter, - generate_content: GenerateContentFixture, + generate_content: callable, instrument_with_content: VertexAIInstrumentor, ): generate_content_all_input_events( PreviewGenerativeModel( - "gemini-1.5-flash-002", + "gemini-2.5-pro", system_instruction=Part.from_text( "You are a clever language model" ), ), - generate_content, log_exporter, + instrument_with_content, ) def generate_content_all_input_events( model: GenerativeModel | PreviewGenerativeModel, - generate_content: GenerateContentFixture, log_exporter: InMemoryLogExporter, + instrument_with_content: VertexAIInstrumentor, ): model.generate_content( [ @@ -409,6 +397,9 @@ def generate_content_all_input_events( ], ), ], + generation_config=GenerationConfig( + seed=12345, response_mime_type="text/plain" + ), ) # Emits a system event, 2 users events, an assistant event, and the choice (response) event @@ -463,57 +454,7 @@ def generate_content_all_input_events( "finish_reason": "stop", "index": 0, "message": { - "content": [{"text": "OpenTelemetry, this is a test.\n"}], + "content": [{"text": "OpenTelemetry, this is a test."}], "role": "model", }, } - - -_P = ParamSpec("_P") -_R = TypeVar("_R") - - -def _copy_signature( - func_type: Callable[_P, _R], -) -> Callable[ - [Callable[..., Any]], Callable[Concatenate[GenerativeModel, _P], _R] -]: - return lambda func: func - - -# Type annotation for fixture to make LSP work properly -class GenerateContentFixture(Protocol): - @_copy_signature(GenerativeModel.generate_content) - def __call__(self): ... - - -@pytest.fixture( - name="generate_content", - params=( - pytest.param(False, id="sync"), - pytest.param(True, id="async"), - ), -) -def fixture_generate_content( - request: pytest.FixtureRequest, - vcr: VCR, -) -> Generator[GenerateContentFixture, None, None]: - """This fixture parameterizes tests that use it to test calling both - GenerativeModel.generate_content() and GenerativeModel.generate_content_async(). - """ - is_async: bool = request.param - - if is_async: - # See - # https://github.com/googleapis/python-aiplatform/blob/cb0e5fedbf45cb0531c0b8611fb7fabdd1f57e56/google/cloud/aiplatform/initializer.py#L717-L729 - _set_async_rest_credentials(credentials=AsyncAnonymousCredentials()) - - def wrapper(model: GenerativeModel, *args, **kwargs) -> None: - if is_async: - return asyncio.run(model.generate_content_async(*args, **kwargs)) - return model.generate_content(*args, **kwargs) - - with vcr.use_cassette( - request.node.originalname, allow_playback_repeats=True - ): - yield wrapper diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions_experimental.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions_experimental.py new file mode 100644 index 0000000000..f1bc28d5f6 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions_experimental.py @@ -0,0 +1,464 @@ +from __future__ import annotations + +import pytest +from google.api_core.exceptions import BadRequest, NotFound +from vertexai.generative_models import ( + Content, + GenerationConfig, + GenerativeModel, + Part, +) +from vertexai.preview.generative_models import ( + GenerativeModel as PreviewGenerativeModel, +) + +from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor +from opentelemetry.sdk._logs._internal.export.in_memory_log_exporter import ( + InMemoryLogExporter, +) +from opentelemetry.sdk.trace import ReadableSpan +from opentelemetry.sdk.trace.export.in_memory_span_exporter import ( + InMemorySpanExporter, +) +from opentelemetry.trace import StatusCode + + +@pytest.mark.vcr() +def test_generate_content( + span_exporter: InMemorySpanExporter, + log_exporter: InMemoryLogExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("gemini-2.5-pro") + generate_content( + model, + [ + Content( + role="user", + parts=[ + Part.from_text("Say this is a test"), + ], + ), + ], + ) + + # Emits span + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 5, + "gen_ai.usage.output_tokens": 5, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 5, + "gen_ai.usage.output_tokens": 5, + "gen_ai.input.messages": ( + { + "role": "user", + "parts": ({"type": "text", "content": "Say this is a test"},), + }, + ), + "gen_ai.output.messages": ( + { + "role": "model", + "parts": ({"type": "text", "content": "This is a test."},), + "finish_reason": "stop", + }, + ), + } + + +@pytest.mark.vcr() +def test_generate_content_without_events( + span_exporter: InMemorySpanExporter, + log_exporter: InMemoryLogExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("gemini-2.5-pro") + generate_content( + model, + [ + Content(role="user", parts=[Part.from_text("Say this is a test")]), + ], + ) + + # Emits span + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 5, + "gen_ai.usage.output_tokens": 5, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + print(log.attributes) + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 5, + "gen_ai.usage.output_tokens": 5, + "gen_ai.input.messages": ( + { + "role": "user", + "parts": ({"content": "Say this is a test", "type": "text"},), + }, + ), + "gen_ai.output.messages": ( + { + "role": "model", + "parts": ({"content": "This is a test.", "type": "text"},), + "finish_reason": "stop", + }, + ), + } + + +@pytest.mark.vcr() +def test_generate_content_empty_model( + span_exporter: InMemorySpanExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("") + try: + generate_content( + model, + [ + Content( + role="user", parts=[Part.from_text("Say this is a test")] + ) + ], + ) + except ValueError: + pass + + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat" + # Captures invalid params + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "", + "gen_ai.system": "vertex_ai", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + assert_span_error(spans[0]) + + +@pytest.mark.vcr() +def test_generate_content_missing_model( + span_exporter: InMemorySpanExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("gemini-does-not-exist") + try: + generate_content( + model, + [ + Content( + role="user", parts=[Part.from_text("Say this is a test")] + ) + ], + ) + except NotFound: + pass + + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-does-not-exist" + # Captures invalid params + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-does-not-exist", + "gen_ai.system": "vertex_ai", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + assert_span_error(spans[0]) + + +@pytest.mark.vcr() +def test_generate_content_invalid_temperature( + span_exporter: InMemorySpanExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("gemini-2.5-pro") + try: + # Temperature out of range causes error + generate_content( + model, + [ + Content( + role="user", parts=[Part.from_text("Say this is a test")] + ) + ], + generation_config=GenerationConfig(temperature=1000), + ) + except BadRequest: + pass + + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.request.temperature": 1000.0, + "gen_ai.system": "vertex_ai", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + assert_span_error(spans[0]) + + +@pytest.mark.vcr() +def test_generate_content_invalid_role( + log_exporter: InMemoryLogExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model = GenerativeModel("gemini-2.5-pro") + try: + # Fails because role must be "user" or "model" + generate_content( + model, + [ + Content( + role="invalid_role", + parts=[Part.from_text("Say this is a test")], + ) + ], + ) + except BadRequest: + pass + + # Emits the faulty content which caused the request to fail + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.input.messages": ( + { + "role": "invalid_role", + "parts": ({"type": "text", "content": "Say this is a test"},), + }, + ), + } + + +@pytest.mark.vcr() +def test_generate_content_extra_params( + span_exporter, + instrument_no_content_with_experimental_semconvs, + generate_content: callable, +): + generation_config = GenerationConfig( + top_k=2, + top_p=0.95, + temperature=0.2, + stop_sequences=["\n\n\n"], + max_output_tokens=5, + presence_penalty=-1.5, + frequency_penalty=1.0, + seed=12345, + ) + model = GenerativeModel("gemini-2.5-pro") + generate_content( + model, + [ + Content(role="user", parts=[Part.from_text("Say this is a test")]), + ], + generation_config=generation_config, + ) + + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.frequency_penalty": 1.0, + "gen_ai.request.max_tokens": 5, + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.request.presence_penalty": -1.5, + "gen_ai.request.stop_sequences": ("\n\n\n",), + "gen_ai.request.temperature": 0.20000000298023224, + "gen_ai.request.top_p": 0.949999988079071, + "gen_ai.response.finish_reasons": ("length",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 5, + "gen_ai.usage.output_tokens": 0, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + + +def assert_span_error(span: ReadableSpan) -> None: + # Sets error status + assert span.status.status_code == StatusCode.ERROR + + # TODO: check thate error.type is set + # https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-spans.md + + # Records exception event + error_events = [e for e in span.events if e.name == "exception"] + assert error_events != [] + + +@pytest.mark.vcr() +def test_generate_content_all_events( + log_exporter: InMemoryLogExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + generate_content_all_input_events( + GenerativeModel( + "gemini-2.5-pro", + system_instruction=Part.from_text( + "You are a clever language model" + ), + ), + log_exporter, + instrument_with_experimental_semconvs, + ) + + +@pytest.mark.vcr() +def test_preview_generate_content_all_input_events( + log_exporter: InMemoryLogExporter, + generate_content: callable, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + generate_content_all_input_events( + PreviewGenerativeModel( + "gemini-2.5-pro", + system_instruction=Part.from_text( + "You are a clever language model" + ), + ), + log_exporter, + instrument_with_experimental_semconvs, + ) + + +def generate_content_all_input_events( + model: GenerativeModel | PreviewGenerativeModel, + log_exporter: InMemoryLogExporter, + instrument_with_experimental_semconvs: VertexAIInstrumentor, +): + model.generate_content( + [ + Content( + role="user", parts=[Part.from_text("My name is OpenTelemetry")] + ), + Content( + role="model", parts=[Part.from_text("Hello OpenTelemetry!")] + ), + Content( + role="user", + parts=[ + Part.from_text("Address me by name and say this is a test") + ], + ), + ], + generation_config=GenerationConfig( + seed=12345, response_mime_type="text/plain" + ), + ) + # Emits a single log. + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.request.seed": 12345, + "gen_ai.output.type": "text", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 25, + "gen_ai.usage.output_tokens": 8, + "gen_ai.system_instructions": ( + {"type": "text", "content": "You are a clever language model"}, + ), + "gen_ai.input.messages": ( + { + "role": "user", + "parts": ( + { + "type": "text", + "content": "My name is OpenTelemetry", + }, + ), + }, + { + "role": "model", + "parts": ( + {"type": "text", "content": "Hello OpenTelemetry!"}, + ), + }, + { + "role": "user", + "parts": ( + { + "type": "text", + "content": "Address me by name and say this is a test", + }, + ), + }, + ), + "gen_ai.output.messages": ( + { + "role": "model", + "parts": ( + { + "type": "text", + "content": "OpenTelemetry, this is a test.", + }, + ), + "finish_reason": "stop", + }, + ), + } diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling.py index cb8b6ab0df..681f778df1 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling.py +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling.py @@ -1,11 +1,4 @@ import pytest -from vertexai.generative_models import ( - Content, - FunctionDeclaration, - GenerativeModel, - Part, - Tool, -) from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor from opentelemetry.sdk._logs._internal.export.in_memory_log_exporter import ( @@ -14,27 +7,32 @@ from opentelemetry.sdk.trace.export.in_memory_span_exporter import ( InMemorySpanExporter, ) +from tests.shared_test_utils import ( + ask_about_weather, + ask_about_weather_function_response, +) -@pytest.mark.vcr +@pytest.mark.vcr() def test_function_call_choice( span_exporter: InMemorySpanExporter, log_exporter: InMemoryLogExporter, instrument_with_content: VertexAIInstrumentor, + generate_content: callable, ): - ask_about_weather() + ask_about_weather(generate_content) # Emits span spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.response.finish_reasons": ("stop",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", - "gen_ai.usage.input_tokens": 72, + "gen_ai.usage.input_tokens": 74, "gen_ai.usage.output_tokens": 16, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, @@ -100,12 +98,13 @@ def test_function_call_choice( } -@pytest.mark.vcr +@pytest.mark.vcr() def test_function_call_choice_no_content( log_exporter: InMemoryLogExporter, instrument_no_content: VertexAIInstrumentor, + generate_content: callable, ): - ask_about_weather() + ask_about_weather(generate_content) # Emits user and choice events logs = log_exporter.get_finished_logs() @@ -142,32 +141,32 @@ def test_function_call_choice_no_content( } -@pytest.mark.vcr +@pytest.mark.vcr() def test_tool_events( span_exporter: InMemorySpanExporter, log_exporter: InMemoryLogExporter, instrument_with_content: VertexAIInstrumentor, + generate_content: callable, ): - ask_about_weather_function_response() + ask_about_weather_function_response(generate_content) # Emits span spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.response.finish_reasons": ("stop",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", - "gen_ai.usage.input_tokens": 126, - "gen_ai.usage.output_tokens": 24, + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 26, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, } - - # Emits user, assistant, two tool, and choice events logs = log_exporter.get_finished_logs() + # Emits user, assistant, two tool, and choice events assert len(logs) == 5 user_log, assistant_log, tool_log1, tool_log2, choice_log = [ log_data.log_record for log_data in logs @@ -236,7 +235,7 @@ def test_tool_events( "message": { "content": [ { - "text": "The current temperature in New Delhi is 35 degrees Celsius and in San Francisco is 25 degrees Celsius.\n" + "text": "The current temperature in New Delhi is 35°C, and in San Francisco, it is 25°C." } ], "role": "model", @@ -244,32 +243,32 @@ def test_tool_events( } -@pytest.mark.vcr +@pytest.mark.vcr() def test_tool_events_no_content( span_exporter: InMemorySpanExporter, log_exporter: InMemoryLogExporter, instrument_no_content: VertexAIInstrumentor, + generate_content: callable, ): - ask_about_weather_function_response() + ask_about_weather_function_response(generate_content) # Emits span spans = span_exporter.get_finished_spans() assert len(spans) == 1 - assert spans[0].name == "chat gemini-1.5-flash-002" + assert spans[0].name == "chat gemini-2.5-pro" assert dict(spans[0].attributes) == { "gen_ai.operation.name": "chat", - "gen_ai.request.model": "gemini-1.5-flash-002", + "gen_ai.request.model": "gemini-2.5-pro", "gen_ai.response.finish_reasons": ("stop",), - "gen_ai.response.model": "gemini-1.5-flash-002", + "gen_ai.response.model": "gemini-2.5-pro", "gen_ai.system": "vertex_ai", - "gen_ai.usage.input_tokens": 126, - "gen_ai.usage.output_tokens": 24, + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 22, "server.address": "us-central1-aiplatform.googleapis.com", "server.port": 443, } - - # Emits user, assistant, two tool, and choice events logs = log_exporter.get_finished_logs() + # Emits user, assistant, two tool, and choice events assert len(logs) == 5 user_log, assistant_log, tool_log1, tool_log2, choice_log = [ log_data.log_record for log_data in logs @@ -290,13 +289,19 @@ def test_tool_events_no_content( "gen_ai.system": "vertex_ai", "event.name": "gen_ai.tool.message", } - assert tool_log1.body == {"role": "user", "id": "get_current_weather_0"} + assert tool_log1.body == { + "role": "user", + "id": "get_current_weather_0", + } assert tool_log2.attributes == { "gen_ai.system": "vertex_ai", "event.name": "gen_ai.tool.message", } - assert tool_log2.body == {"role": "user", "id": "get_current_weather_1"} + assert tool_log2.body == { + "role": "user", + "id": "get_current_weather_1", + } assert choice_log.attributes == { "gen_ai.system": "vertex_ai", @@ -307,100 +312,3 @@ def test_tool_events_no_content( "index": 0, "message": {"role": "model"}, } - - -def weather_tool() -> Tool: - # Adapted from https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling#parallel-samples - get_current_weather_func = FunctionDeclaration( - name="get_current_weather", - description="Get the current weather in a given location", - parameters={ - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The location for which to get the weather. " - "It can be a city name, a city name and state, or a zip code. " - "Examples: 'San Francisco', 'San Francisco, CA', '95616', etc.", - }, - }, - }, - ) - return Tool( - function_declarations=[get_current_weather_func], - ) - - -def ask_about_weather() -> None: - model = GenerativeModel("gemini-1.5-flash-002", tools=[weather_tool()]) - # Model will respond asking for function calls - model.generate_content( - [ - # User asked about weather - Content( - role="user", - parts=[ - Part.from_text( - "Get weather details in New Delhi and San Francisco?" - ), - ], - ), - ], - ) - - -def ask_about_weather_function_response() -> None: - model = GenerativeModel("gemini-1.5-flash-002", tools=[weather_tool()]) - model.generate_content( - [ - # User asked about weather - Content( - role="user", - parts=[ - Part.from_text( - "Get weather details in New Delhi and San Francisco?" - ), - ], - ), - # Model requests two function calls - Content( - role="model", - parts=[ - Part.from_dict( - { - "function_call": { - "name": "get_current_weather", - "args": {"location": "New Delhi"}, - } - }, - ), - Part.from_dict( - { - "function_call": { - "name": "get_current_weather", - "args": {"location": "San Francisco"}, - } - }, - ), - ], - ), - # User responds with function responses - Content( - role="user", - parts=[ - Part.from_function_response( - name="get_current_weather", - response={ - "content": '{"temperature": 35, "unit": "C"}' - }, - ), - Part.from_function_response( - name="get_current_weather", - response={ - "content": '{"temperature": 25, "unit": "C"}' - }, - ), - ], - ), - ] - ) diff --git a/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling_experimental.py b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling_experimental.py new file mode 100644 index 0000000000..a7b61a09c7 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_function_calling_experimental.py @@ -0,0 +1,246 @@ +import pytest + +from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor +from opentelemetry.sdk._logs._internal.export.in_memory_log_exporter import ( + InMemoryLogExporter, +) +from opentelemetry.sdk.trace.export.in_memory_span_exporter import ( + InMemorySpanExporter, +) +from tests.shared_test_utils import ( + ask_about_weather, + ask_about_weather_function_response, +) + + +@pytest.mark.vcr() +def test_function_call_choice( + span_exporter: InMemorySpanExporter, + log_exporter: InMemoryLogExporter, + instrument_with_experimental_semconvs: VertexAIInstrumentor, + generate_content: callable, +): + ask_about_weather(generate_content) + + # Emits span + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 74, + "gen_ai.usage.output_tokens": 16, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + + # Emits user and choice events + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 74, + "gen_ai.usage.output_tokens": 16, + "gen_ai.input.messages": ( + { + "role": "user", + "parts": ( + { + "type": "text", + "content": "Get weather details in New Delhi and San Francisco?", + }, + ), + }, + ), + "gen_ai.output.messages": ( + { + "role": "model", + "parts": ( + { + "type": "tool_call", + "arguments": {"location": "New Delhi"}, + "name": "get_current_weather", + "id": "get_current_weather_0", + }, + { + "type": "tool_call", + "arguments": {"location": "San Francisco"}, + "name": "get_current_weather", + "id": "get_current_weather_1", + }, + ), + "finish_reason": "stop", + }, + ), + } + + +@pytest.mark.vcr() +def test_function_call_choice_no_content( + log_exporter: InMemoryLogExporter, + instrument_no_content_with_experimental_semconvs: VertexAIInstrumentor, + generate_content: callable, +): + ask_about_weather(generate_content) + + # Emits user and choice events + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 74, + "gen_ai.usage.output_tokens": 16, + } + + +@pytest.mark.vcr() +def test_tool_events( + span_exporter: InMemorySpanExporter, + log_exporter: InMemoryLogExporter, + instrument_with_experimental_semconvs: VertexAIInstrumentor, + generate_content: callable, +): + ask_about_weather_function_response(generate_content) + + # Emits span + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 26, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 26, + "gen_ai.input.messages": ( + { + "role": "user", + "parts": ( + { + "type": "text", + "content": "Get weather details in New Delhi and San Francisco?", + }, + ), + }, + { + "role": "model", + "parts": ( + { + "type": "tool_call", + "arguments": {"location": "New Delhi"}, + "name": "get_current_weather", + "id": "get_current_weather_0", + }, + { + "type": "tool_call", + "arguments": {"location": "San Francisco"}, + "name": "get_current_weather", + "id": "get_current_weather_1", + }, + ), + }, + { + "role": "user", + "parts": ( + { + "type": "tool_call_response", + "response": { + "content": '{"temperature": 35, "unit": "C"}' + }, + "id": "get_current_weather_0", + }, + { + "type": "tool_call_response", + "response": { + "content": '{"temperature": 25, "unit": "C"}' + }, + "id": "get_current_weather_1", + }, + ), + }, + ), + "gen_ai.output.messages": ( + { + "role": "model", + "parts": ( + { + "type": "text", + "content": "The current temperature in New Delhi is 35°C, and in San Francisco, it is 25°C.", + }, + ), + "finish_reason": "stop", + }, + ), + } + + +@pytest.mark.vcr() +def test_tool_events_no_content( + span_exporter: InMemorySpanExporter, + log_exporter: InMemoryLogExporter, + instrument_no_content_with_experimental_semconvs: VertexAIInstrumentor, + generate_content: callable, +): + ask_about_weather_function_response(generate_content) + + # Emits span + spans = span_exporter.get_finished_spans() + assert len(spans) == 1 + assert spans[0].name == "chat gemini-2.5-pro" + assert dict(spans[0].attributes) == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.system": "vertex_ai", + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 22, + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + } + logs = log_exporter.get_finished_logs() + assert len(logs) == 1 + log = logs[0].log_record + assert log.attributes == { + "gen_ai.operation.name": "chat", + "gen_ai.request.model": "gemini-2.5-pro", + "server.address": "us-central1-aiplatform.googleapis.com", + "server.port": 443, + "gen_ai.response.model": "gemini-2.5-pro", + "gen_ai.response.finish_reasons": ("stop",), + "gen_ai.usage.input_tokens": 128, + "gen_ai.usage.output_tokens": 22, + } diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aio-pika/pyproject.toml index 8f9bfd6139..7cb79620c0 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/pyproject.toml @@ -26,7 +26,7 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.5", - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/span_builder.py b/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/span_builder.py index dd5433756c..9fd25747e7 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/span_builder.py +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/span_builder.py @@ -16,13 +16,22 @@ from aio_pika.abc import AbstractChannel, AbstractMessage from opentelemetry.instrumentation.utils import is_instrumentation_enabled +from opentelemetry.semconv._incubating.attributes.messaging_attributes import ( + MESSAGING_MESSAGE_ID, + MESSAGING_OPERATION, + MESSAGING_SYSTEM, +) +from opentelemetry.semconv._incubating.attributes.net_attributes import ( + NET_PEER_NAME, + NET_PEER_PORT, +) from opentelemetry.semconv.trace import ( MessagingOperationValues, SpanAttributes, ) from opentelemetry.trace import Span, SpanKind, Tracer -_DEFAULT_ATTRIBUTES = {SpanAttributes.MESSAGING_SYSTEM: "rabbitmq"} +_DEFAULT_ATTRIBUTES = {MESSAGING_SYSTEM: "rabbitmq"} class SpanBuilder: @@ -44,6 +53,8 @@ def set_operation(self, operation: MessagingOperationValues): def set_destination(self, destination: str): self._destination = destination + # TODO: Update this implementation once the semantic conventions for messaging stabilize + # See: https://github.com/open-telemetry/semantic-conventions/blob/main/docs/registry/attributes/messaging.md self._attributes[SpanAttributes.MESSAGING_DESTINATION] = destination def set_channel(self, channel: AbstractChannel): @@ -61,17 +72,15 @@ def set_channel(self, channel: AbstractChannel): url = connection.url self._attributes.update( { - SpanAttributes.NET_PEER_NAME: url.host, - SpanAttributes.NET_PEER_PORT: url.port or 5672, + NET_PEER_NAME: url.host, + NET_PEER_PORT: url.port or 5672, } ) def set_message(self, message: AbstractMessage): properties = message.properties if properties.message_id: - self._attributes[SpanAttributes.MESSAGING_MESSAGE_ID] = ( - properties.message_id - ) + self._attributes[MESSAGING_MESSAGE_ID] = properties.message_id if properties.correlation_id: self._attributes[SpanAttributes.MESSAGING_CONVERSATION_ID] = ( properties.correlation_id @@ -81,10 +90,10 @@ def build(self) -> Optional[Span]: if not is_instrumentation_enabled(): return None if self._operation: - self._attributes[SpanAttributes.MESSAGING_OPERATION] = ( - self._operation.value - ) + self._attributes[MESSAGING_OPERATION] = self._operation.value else: + # TODO: Update this implementation once the semantic conventions for messaging stabilize + # See: https://github.com/open-telemetry/semantic-conventions/blob/main/docs/registry/attributes/messaging.md self._attributes[SpanAttributes.MESSAGING_TEMP_DESTINATION] = True span = self._tracer.start_span( self._generate_span_name(), diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/version.py b/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/version.py +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/src/opentelemetry/instrumentation/aio_pika/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/consts.py b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/consts.py index 431780ae7b..9be41cc844 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/consts.py +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/consts.py @@ -6,7 +6,7 @@ AIOPIKA_VERSION_INFO = tuple(int(v) for v in aiopika_version.split(".")) MESSAGE_ID = "meesage_id" CORRELATION_ID = "correlation_id" -MESSAGING_SYSTEM = "rabbitmq" +MESSAGING_SYSTEM_VALUE = "rabbitmq" EXCHANGE_NAME = "exchange_name" QUEUE_NAME = "queue_name" ROUTING_KEY = "routing_key" diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_callback_decorator.py b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_callback_decorator.py index 39a7724bfa..8b54c384de 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_callback_decorator.py +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_callback_decorator.py @@ -19,6 +19,15 @@ from opentelemetry.instrumentation.aio_pika.callback_decorator import ( CallbackDecorator, ) +from opentelemetry.semconv._incubating.attributes.messaging_attributes import ( + MESSAGING_MESSAGE_ID, + MESSAGING_OPERATION, + MESSAGING_SYSTEM, +) +from opentelemetry.semconv._incubating.attributes.net_attributes import ( + NET_PEER_NAME, + NET_PEER_PORT, +) from opentelemetry.semconv.trace import SpanAttributes from opentelemetry.trace import SpanKind, get_tracer @@ -30,7 +39,7 @@ EXCHANGE_NAME, MESSAGE, MESSAGE_ID, - MESSAGING_SYSTEM, + MESSAGING_SYSTEM_VALUE, QUEUE_NAME, SERVER_HOST, SERVER_PORT, @@ -40,13 +49,13 @@ @skipIf(AIOPIKA_VERSION_INFO >= (8, 0), "Only for aio_pika 7") class TestInstrumentedQueueAioRmq7(TestCase): EXPECTED_ATTRIBUTES = { - SpanAttributes.MESSAGING_SYSTEM: MESSAGING_SYSTEM, + MESSAGING_SYSTEM: MESSAGING_SYSTEM_VALUE, SpanAttributes.MESSAGING_DESTINATION: EXCHANGE_NAME, - SpanAttributes.NET_PEER_NAME: SERVER_HOST, - SpanAttributes.NET_PEER_PORT: SERVER_PORT, - SpanAttributes.MESSAGING_MESSAGE_ID: MESSAGE_ID, + NET_PEER_NAME: SERVER_HOST, + NET_PEER_PORT: SERVER_PORT, + MESSAGING_MESSAGE_ID: MESSAGE_ID, SpanAttributes.MESSAGING_CONVERSATION_ID: CORRELATION_ID, - SpanAttributes.MESSAGING_OPERATION: "receive", + MESSAGING_OPERATION: "receive", } def setUp(self): @@ -80,13 +89,13 @@ def test_decorate_callback(self): @skipIf(AIOPIKA_VERSION_INFO <= (8, 0), "Only for aio_pika 8") class TestInstrumentedQueueAioRmq8(TestCase): EXPECTED_ATTRIBUTES = { - SpanAttributes.MESSAGING_SYSTEM: MESSAGING_SYSTEM, + MESSAGING_SYSTEM: MESSAGING_SYSTEM_VALUE, SpanAttributes.MESSAGING_DESTINATION: EXCHANGE_NAME, - SpanAttributes.NET_PEER_NAME: SERVER_HOST, - SpanAttributes.NET_PEER_PORT: SERVER_PORT, - SpanAttributes.MESSAGING_MESSAGE_ID: MESSAGE_ID, + NET_PEER_NAME: SERVER_HOST, + NET_PEER_PORT: SERVER_PORT, + MESSAGING_MESSAGE_ID: MESSAGE_ID, SpanAttributes.MESSAGING_CONVERSATION_ID: CORRELATION_ID, - SpanAttributes.MESSAGING_OPERATION: "receive", + MESSAGING_OPERATION: "receive", } def setUp(self): diff --git a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_publish_decorator.py b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_publish_decorator.py index 90a029531d..da5bdb1ad5 100644 --- a/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_publish_decorator.py +++ b/instrumentation/opentelemetry-instrumentation-aio-pika/tests/test_publish_decorator.py @@ -21,6 +21,14 @@ from opentelemetry.instrumentation.aio_pika.publish_decorator import ( PublishDecorator, ) +from opentelemetry.semconv._incubating.attributes.messaging_attributes import ( + MESSAGING_MESSAGE_ID, + MESSAGING_SYSTEM, +) +from opentelemetry.semconv._incubating.attributes.net_attributes import ( + NET_PEER_NAME, + NET_PEER_PORT, +) from opentelemetry.semconv.trace import SpanAttributes from opentelemetry.trace import SpanKind, get_tracer @@ -34,7 +42,7 @@ EXCHANGE_NAME, MESSAGE, MESSAGE_ID, - MESSAGING_SYSTEM, + MESSAGING_SYSTEM_VALUE, ROUTING_KEY, SERVER_HOST, SERVER_PORT, @@ -44,11 +52,11 @@ @skipIf(AIOPIKA_VERSION_INFO >= (8, 0), "Only for aio_pika 7") class TestInstrumentedExchangeAioRmq7(TestCase): EXPECTED_ATTRIBUTES = { - SpanAttributes.MESSAGING_SYSTEM: MESSAGING_SYSTEM, + MESSAGING_SYSTEM: MESSAGING_SYSTEM_VALUE, SpanAttributes.MESSAGING_DESTINATION: f"{EXCHANGE_NAME},{ROUTING_KEY}", - SpanAttributes.NET_PEER_NAME: SERVER_HOST, - SpanAttributes.NET_PEER_PORT: SERVER_PORT, - SpanAttributes.MESSAGING_MESSAGE_ID: MESSAGE_ID, + NET_PEER_NAME: SERVER_HOST, + NET_PEER_PORT: SERVER_PORT, + MESSAGING_MESSAGE_ID: MESSAGE_ID, SpanAttributes.MESSAGING_CONVERSATION_ID: CORRELATION_ID, SpanAttributes.MESSAGING_TEMP_DESTINATION: True, } @@ -123,11 +131,11 @@ def test_publish_works_with_not_recording_span_robust(self): @skipIf(AIOPIKA_VERSION_INFO <= (8, 0), "Only for aio_pika 8") class TestInstrumentedExchangeAioRmq8(TestCase): EXPECTED_ATTRIBUTES = { - SpanAttributes.MESSAGING_SYSTEM: MESSAGING_SYSTEM, + MESSAGING_SYSTEM: MESSAGING_SYSTEM_VALUE, SpanAttributes.MESSAGING_DESTINATION: f"{EXCHANGE_NAME},{ROUTING_KEY}", - SpanAttributes.NET_PEER_NAME: SERVER_HOST, - SpanAttributes.NET_PEER_PORT: SERVER_PORT, - SpanAttributes.MESSAGING_MESSAGE_ID: MESSAGE_ID, + NET_PEER_NAME: SERVER_HOST, + NET_PEER_PORT: SERVER_PORT, + MESSAGING_MESSAGE_ID: MESSAGE_ID, SpanAttributes.MESSAGING_CONVERSATION_ID: CORRELATION_ID, SpanAttributes.MESSAGING_TEMP_DESTINATION: True, } diff --git a/instrumentation/opentelemetry-instrumentation-aiohttp-client/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aiohttp-client/pyproject.toml index b5d8b4aacd..a987b7d721 100644 --- a/instrumentation/opentelemetry-instrumentation-aiohttp-client/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aiohttp-client/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/version.py b/instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/version.py index 68bdb9d4fd..0d18aa3e54 100644 --- a/instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/version.py +++ b/instrumentation/opentelemetry-instrumentation-aiohttp-client/src/opentelemetry/instrumentation/aiohttp_client/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-aiohttp-server/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aiohttp-server/pyproject.toml index 6f55ff6cfe..ada284f631 100644 --- a/instrumentation/opentelemetry-instrumentation-aiohttp-server/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aiohttp-server/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-aiohttp-server/src/opentelemetry/instrumentation/aiohttp_server/version.py b/instrumentation/opentelemetry-instrumentation-aiohttp-server/src/opentelemetry/instrumentation/aiohttp_server/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-aiohttp-server/src/opentelemetry/instrumentation/aiohttp_server/version.py +++ b/instrumentation/opentelemetry-instrumentation-aiohttp-server/src/opentelemetry/instrumentation/aiohttp_server/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-aiokafka/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aiokafka/pyproject.toml index 5e745e2cfa..24b238d43e 100644 --- a/instrumentation/opentelemetry-instrumentation-aiokafka/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aiokafka/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.27", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "typing_extensions ~= 4.1", ] diff --git a/instrumentation/opentelemetry-instrumentation-aiokafka/src/opentelemetry/instrumentation/aiokafka/version.py b/instrumentation/opentelemetry-instrumentation-aiokafka/src/opentelemetry/instrumentation/aiokafka/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-aiokafka/src/opentelemetry/instrumentation/aiokafka/version.py +++ b/instrumentation/opentelemetry-instrumentation-aiokafka/src/opentelemetry/instrumentation/aiokafka/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-aiopg/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aiopg/pyproject.toml index dfd49eff33..9cd6193636 100644 --- a/instrumentation/opentelemetry-instrumentation-aiopg/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aiopg/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-aiopg/src/opentelemetry/instrumentation/aiopg/version.py b/instrumentation/opentelemetry-instrumentation-aiopg/src/opentelemetry/instrumentation/aiopg/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-aiopg/src/opentelemetry/instrumentation/aiopg/version.py +++ b/instrumentation/opentelemetry-instrumentation-aiopg/src/opentelemetry/instrumentation/aiopg/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-asgi/pyproject.toml b/instrumentation/opentelemetry-instrumentation-asgi/pyproject.toml index a2b3737fdc..2f652bf9f9 100644 --- a/instrumentation/opentelemetry-instrumentation-asgi/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-asgi/pyproject.toml @@ -27,9 +27,9 @@ classifiers = [ dependencies = [ "asgiref ~= 3.0", "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/__init__.py b/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/__init__.py index 7e72dbf11f..9df2f4ec58 100644 --- a/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/__init__.py @@ -268,7 +268,7 @@ def client_response_hook(span: Span, scope: Scope, message: dict[str, Any]): HTTP_SERVER_REQUEST_DURATION, ) from opentelemetry.semconv.trace import SpanAttributes -from opentelemetry.trace import set_span_in_context +from opentelemetry.trace import Span, set_span_in_context from opentelemetry.util.http import ( OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SANITIZE_FIELDS, OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SERVER_REQUEST, @@ -445,7 +445,20 @@ def get_host_port_url_tuple(scope): """Returns (host, port, full_url) tuple.""" server = scope.get("server") or ["0.0.0.0", 80] port = server[1] + + host_header = asgi_getter.get(scope, "host") + if host_header: + host_value = host_header[0] + # Ensure host_value is a string, not bytes + if isinstance(host_value, bytes): + host_value = _decode_header_item(host_value) + + url_host = host_value + + else: + url_host = server[0] + (":" + str(port) if str(port) != "80" else "") server_host = server[0] + (":" + str(port) if str(port) != "80" else "") + # using the scope path is enough, see: # - https://asgi.readthedocs.io/en/latest/specs/www.html#http-connection-scope (see: root_path and path) # - https://asgi.readthedocs.io/en/latest/specs/www.html#wsgi-compatibility (see: PATH_INFO) @@ -453,7 +466,7 @@ def get_host_port_url_tuple(scope): # -> that means that the path should contain the root_path already, so prefixing it again is not necessary # - https://wsgi.readthedocs.io/en/latest/definitions.html#envvar-PATH_INFO full_path = scope.get("path", "") - http_url = scope.get("scheme", "http") + "://" + server_host + full_path + http_url = scope.get("scheme", "http") + "://" + url_host + full_path return server_host, port, http_url @@ -646,9 +659,23 @@ def __init__( self.default_span_details = ( default_span_details or get_default_span_details ) - self.server_request_hook = server_request_hook - self.client_request_hook = client_request_hook - self.client_response_hook = client_response_hook + + def failsafe(func): + if func is None: + return None + + @wraps(func) + def wrapper(span: Span, *args, **kwargs): + try: + func(span, *args, **kwargs) + except Exception as exc: # pylint: disable=broad-exception-caught + span.record_exception(exc) + + return wrapper + + self.server_request_hook = failsafe(server_request_hook) + self.client_request_hook = failsafe(client_request_hook) + self.client_response_hook = failsafe(client_response_hook) self.content_length_header = None self._sem_conv_opt_in_mode = sem_conv_opt_in_mode diff --git a/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/version.py b/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/version.py +++ b/instrumentation/opentelemetry-instrumentation-asgi/src/opentelemetry/instrumentation/asgi/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-asgi/tests/test_asgi_middleware.py b/instrumentation/opentelemetry-instrumentation-asgi/tests/test_asgi_middleware.py index b8791cf730..0da3014f5f 100644 --- a/instrumentation/opentelemetry-instrumentation-asgi/tests/test_asgi_middleware.py +++ b/instrumentation/opentelemetry-instrumentation-asgi/tests/test_asgi_middleware.py @@ -277,6 +277,17 @@ async def error_asgi(scope, receive, send): await send({"type": "http.response.body", "body": b"*"}) +class UnhandledException(Exception): + pass + + +def failing_hook(msg): + def hook(*_): + raise UnhandledException(msg) + + return hook + + # pylint: disable=too-many-public-methods class TestAsgiApplication(AsyncAsgiTestBase): def setUp(self): @@ -481,6 +492,12 @@ def validate_outputs( span.instrumentation_scope.name, "opentelemetry.instrumentation.asgi", ) + if "events" in expected: + self.assertEqual(len(span.events), len(expected["events"])) + for event, expected in zip(span.events, expected["events"]): + self.assertEqual(event.name, expected["name"]) + for name, value in expected["attributes"].items(): + self.assertEqual(event.attributes[name], value) async def test_basic_asgi_call(self): """Test that spans are emitted as expected.""" @@ -763,7 +780,10 @@ async def test_host_header(self): def update_expected_server(expected): expected[3]["attributes"].update( - {SpanAttributes.HTTP_SERVER_NAME: hostname.decode("utf8")} + { + SpanAttributes.HTTP_SERVER_NAME: hostname.decode("utf8"), + SpanAttributes.HTTP_URL: f"http://{hostname.decode('utf8')}/", + } ) return expected @@ -780,7 +800,10 @@ async def test_host_header_both_semconv(self): def update_expected_server(expected): expected[3]["attributes"].update( - {SpanAttributes.HTTP_SERVER_NAME: hostname.decode("utf8")} + { + SpanAttributes.HTTP_SERVER_NAME: hostname.decode("utf8"), + SpanAttributes.HTTP_URL: f"http://{hostname.decode('utf8')}/", + } ) return expected @@ -1206,6 +1229,40 @@ def update_expected_hook_results(expected): outputs, modifiers=[update_expected_hook_results] ) + async def test_hook_exceptions(self): + def exception_event(msg): + return { + "name": "exception", + "attributes": { + "exception.type": f"{__name__}.UnhandledException", + "exception.message": msg, + }, + } + + def update_expected_hook_results(expected): + for entry in expected: + if entry["kind"] == trace_api.SpanKind.SERVER: + entry["events"] = [exception_event("server request")] + elif entry["name"] == "GET / http receive": + entry["events"] = [exception_event("client request")] + elif entry["name"] == "GET / http send": + entry["events"] = [exception_event("client response")] + + return expected + + app = otel_asgi.OpenTelemetryMiddleware( + simple_asgi, + server_request_hook=failing_hook("server request"), + client_request_hook=failing_hook("client request"), + client_response_hook=failing_hook("client response"), + ) + self.seed_app(app) + await self.send_default_request() + outputs = await self.get_all_output() + self.validate_outputs( + outputs, modifiers=[update_expected_hook_results] + ) + async def test_asgi_metrics(self): app = otel_asgi.OpenTelemetryMiddleware(simple_asgi) self.seed_app(app) @@ -1677,7 +1734,7 @@ def test_request_attributes(self): SpanAttributes.HTTP_METHOD: "GET", SpanAttributes.HTTP_HOST: "127.0.0.1", SpanAttributes.HTTP_TARGET: "/", - SpanAttributes.HTTP_URL: "http://127.0.0.1/?foo=bar", + SpanAttributes.HTTP_URL: "http://test/?foo=bar", SpanAttributes.NET_HOST_PORT: 80, SpanAttributes.HTTP_SCHEME: "http", SpanAttributes.HTTP_SERVER_NAME: "test", @@ -1730,7 +1787,7 @@ def test_request_attributes_both_semconv(self): SpanAttributes.HTTP_METHOD: "GET", SpanAttributes.HTTP_HOST: "127.0.0.1", SpanAttributes.HTTP_TARGET: "/", - SpanAttributes.HTTP_URL: "http://127.0.0.1/?foo=bar", + SpanAttributes.HTTP_URL: "http://test/?foo=bar", SpanAttributes.NET_HOST_PORT: 80, SpanAttributes.HTTP_SCHEME: "http", SpanAttributes.HTTP_SERVER_NAME: "test", diff --git a/instrumentation/opentelemetry-instrumentation-asyncclick/pyproject.toml b/instrumentation/opentelemetry-instrumentation-asyncclick/pyproject.toml index 835942dfac..9a2d514a4a 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncclick/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-asyncclick/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt ~= 1.0", "typing_extensions ~= 4.12", ] diff --git a/instrumentation/opentelemetry-instrumentation-asyncclick/src/opentelemetry/instrumentation/asyncclick/version.py b/instrumentation/opentelemetry-instrumentation-asyncclick/src/opentelemetry/instrumentation/asyncclick/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncclick/src/opentelemetry/instrumentation/asyncclick/version.py +++ b/instrumentation/opentelemetry-instrumentation-asyncclick/src/opentelemetry/instrumentation/asyncclick/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-asyncio/pyproject.toml b/instrumentation/opentelemetry-instrumentation-asyncio/pyproject.toml index 8205b39196..b42f184326 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncio/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-asyncio/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.14", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-asyncio/src/opentelemetry/instrumentation/asyncio/version.py b/instrumentation/opentelemetry-instrumentation-asyncio/src/opentelemetry/instrumentation/asyncio/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncio/src/opentelemetry/instrumentation/asyncio/version.py +++ b/instrumentation/opentelemetry-instrumentation-asyncio/src/opentelemetry/instrumentation/asyncio/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-asyncpg/pyproject.toml b/instrumentation/opentelemetry-instrumentation-asyncpg/pyproject.toml index 5e857e57d0..0ccb3ae251 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncpg/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-asyncpg/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-asyncpg/src/opentelemetry/instrumentation/asyncpg/version.py b/instrumentation/opentelemetry-instrumentation-asyncpg/src/opentelemetry/instrumentation/asyncpg/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-asyncpg/src/opentelemetry/instrumentation/asyncpg/version.py +++ b/instrumentation/opentelemetry-instrumentation-asyncpg/src/opentelemetry/instrumentation/asyncpg/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-aws-lambda/pyproject.toml b/instrumentation/opentelemetry-instrumentation-aws-lambda/pyproject.toml index bdb48fed88..c68dab8072 100644 --- a/instrumentation/opentelemetry-instrumentation-aws-lambda/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-aws-lambda/pyproject.toml @@ -25,8 +25,8 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "opentelemetry-propagator-aws-xray ~= 1.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-aws-lambda/src/opentelemetry/instrumentation/aws_lambda/version.py b/instrumentation/opentelemetry-instrumentation-aws-lambda/src/opentelemetry/instrumentation/aws_lambda/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-aws-lambda/src/opentelemetry/instrumentation/aws_lambda/version.py +++ b/instrumentation/opentelemetry-instrumentation-aws-lambda/src/opentelemetry/instrumentation/aws_lambda/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-boto/pyproject.toml b/instrumentation/opentelemetry-instrumentation-boto/pyproject.toml index 81f21a1386..942791c739 100644 --- a/instrumentation/opentelemetry-instrumentation-boto/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-boto/pyproject.toml @@ -25,8 +25,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-boto/src/opentelemetry/instrumentation/boto/version.py b/instrumentation/opentelemetry-instrumentation-boto/src/opentelemetry/instrumentation/boto/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-boto/src/opentelemetry/instrumentation/boto/version.py +++ b/instrumentation/opentelemetry-instrumentation-boto/src/opentelemetry/instrumentation/boto/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-boto3sqs/pyproject.toml b/instrumentation/opentelemetry-instrumentation-boto3sqs/pyproject.toml index 7c2d116d00..5208850b32 100644 --- a/instrumentation/opentelemetry-instrumentation-boto3sqs/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-boto3sqs/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-boto3sqs/src/opentelemetry/instrumentation/boto3sqs/version.py b/instrumentation/opentelemetry-instrumentation-boto3sqs/src/opentelemetry/instrumentation/boto3sqs/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-boto3sqs/src/opentelemetry/instrumentation/boto3sqs/version.py +++ b/instrumentation/opentelemetry-instrumentation-boto3sqs/src/opentelemetry/instrumentation/boto3sqs/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-botocore/pyproject.toml b/instrumentation/opentelemetry-instrumentation-botocore/pyproject.toml index c0171970fc..3a2782b116 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-botocore/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.30", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "opentelemetry-propagator-aws-xray ~= 1.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/__init__.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/__init__.py index c1be7ec96f..dd8ba24e9f 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/__init__.py @@ -35,6 +35,10 @@ def loader(): "bedrock-runtime": _lazy_load(".bedrock", "_BedrockRuntimeExtension"), "dynamodb": _lazy_load(".dynamodb", "_DynamoDbExtension"), "lambda": _lazy_load(".lmbd", "_LambdaExtension"), + "secretsmanager": _lazy_load( + ".secretsmanager", "_SecretsManagerExtension" + ), + "stepfunctions": _lazy_load(".sfns", "_StepFunctionsExtension"), "sns": _lazy_load(".sns", "_SnsExtension"), "sqs": _lazy_load(".sqs", "_SqsExtension"), } diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/bedrock_utils.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/bedrock_utils.py index 743827910e..68fae273aa 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/bedrock_utils.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/bedrock_utils.py @@ -117,7 +117,7 @@ def _process_event(self, event): self._content_block["toolUse"]["input"] = json.loads( self._tool_json_input_buf ) - except json.DecodeError: + except json.JSONDecodeError: self._content_block["toolUse"]["input"] = ( self._tool_json_input_buf ) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/secretsmanager.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/secretsmanager.py new file mode 100644 index 0000000000..f1b1d8ba21 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/secretsmanager.py @@ -0,0 +1,45 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from opentelemetry.instrumentation.botocore.extensions.types import ( + _AttributeMapT, + _AwsSdkExtension, + _BotocoreInstrumentorContext, + _BotoResultT, +) +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_SECRETSMANAGER_SECRET_ARN, +) +from opentelemetry.trace.span import Span + + +class _SecretsManagerExtension(_AwsSdkExtension): + def extract_attributes(self, attributes: _AttributeMapT): + """ + SecretId is extracted if a secret ARN, the function extracts the attribute + only if the SecretId parameter is provided as an arn which starts with + `arn:aws:secretsmanager:` + """ + secret_id = self._call_context.params.get("SecretId") + if secret_id and secret_id.startswith("arn:aws:secretsmanager:"): + attributes[AWS_SECRETSMANAGER_SECRET_ARN] = secret_id + + def on_success( + self, + span: Span, + result: _BotoResultT, + instrumentor_context: _BotocoreInstrumentorContext, + ): + secret_arn = result.get("ARN") + if secret_arn: + span.set_attribute(AWS_SECRETSMANAGER_SECRET_ARN, secret_arn) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sfns.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sfns.py new file mode 100644 index 0000000000..ff23ae4763 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sfns.py @@ -0,0 +1,58 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from opentelemetry.instrumentation.botocore.extensions.types import ( + _AttributeMapT, + _AwsSdkExtension, + _BotocoreInstrumentorContext, + _BotoResultT, +) +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_STEP_FUNCTIONS_ACTIVITY_ARN, + AWS_STEP_FUNCTIONS_STATE_MACHINE_ARN, +) +from opentelemetry.trace.span import Span + + +class _StepFunctionsExtension(_AwsSdkExtension): + @staticmethod + def _set_arn_attributes(source, target, setter_func): + """Helper to set ARN attributes if they exist in source.""" + activity_arn = source.get("activityArn") + if activity_arn: + setter_func(target, AWS_STEP_FUNCTIONS_ACTIVITY_ARN, activity_arn) + + state_machine_arn = source.get("stateMachineArn") + if state_machine_arn: + setter_func( + target, AWS_STEP_FUNCTIONS_STATE_MACHINE_ARN, state_machine_arn + ) + + def extract_attributes(self, attributes: _AttributeMapT): + self._set_arn_attributes( + self._call_context.params, + attributes, + lambda target, key, value: target.__setitem__(key, value), + ) + + def on_success( + self, + span: Span, + result: _BotoResultT, + instrumentor_context: _BotocoreInstrumentorContext, + ): + self._set_arn_attributes( + result, + span, + lambda target, key, value: target.set_attribute(key, value), + ) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sns.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sns.py index 3ff42a3fed..fdc0227286 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sns.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/extensions/sns.py @@ -24,6 +24,10 @@ _AwsSdkCallContext, _AwsSdkExtension, _BotocoreInstrumentorContext, + _BotoResultT, +) +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_SNS_TOPIC_ARN, ) from opentelemetry.semconv.trace import ( MessagingDestinationKindValues, @@ -161,6 +165,9 @@ def __init__(self, call_context: _AwsSdkCallContext): def extract_attributes(self, attributes: _AttributeMapT): attributes[SpanAttributes.MESSAGING_SYSTEM] = "aws.sns" + topic_arn = self._call_context.params.get("TopicArn") + if topic_arn: + attributes[AWS_SNS_TOPIC_ARN] = topic_arn if self._op: self._op.extract_attributes(self._call_context, attributes) @@ -170,3 +177,16 @@ def before_service_call( ): if self._op: self._op.before_service_call(self._call_context, span) + + def on_success( + self, + span: Span, + result: _BotoResultT, + instrumentor_context: _BotocoreInstrumentorContext, + ): + if not span.is_recording(): + return + + topic_arn = result.get("TopicArn") + if topic_arn: + span.set_attribute(AWS_SNS_TOPIC_ARN, topic_arn) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/version.py b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/version.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/src/opentelemetry/instrumentation/botocore/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-0.txt b/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-0.txt index 34442c9202..f6243241bd 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-0.txt +++ b/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-0.txt @@ -13,7 +13,7 @@ iniconfig==2.0.0 Jinja2==3.1.6 jmespath==1.0.1 MarkupSafe==2.1.5 -moto==5.0.9 +moto==5.1.11 packaging==24.0 pluggy==1.5.0 py-cpuinfo==9.0.0 diff --git a/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-1.txt b/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-1.txt index a2fa776548..5c7cb24a0c 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-1.txt +++ b/instrumentation/opentelemetry-instrumentation-botocore/test-requirements-1.txt @@ -13,7 +13,7 @@ iniconfig==2.0.0 Jinja2==3.1.6 jmespath==1.0.1 MarkupSafe==2.1.5 -moto==5.0.9 +moto==5.1.11 packaging==24.0 pluggy==1.5.0 py-cpuinfo==9.0.0 diff --git a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_dynamodb.py b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_dynamodb.py index de4fc72153..63e5a47840 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_dynamodb.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_dynamodb.py @@ -439,7 +439,7 @@ def test_scan(self): Limit=42, Select="ALL_ATTRIBUTES", TotalSegments=17, - Segment=21, + Segment=16, ProjectionExpression="PE", ConsistentRead=True, ReturnConsumedCapacity="TOTAL", @@ -448,14 +448,14 @@ def test_scan(self): span = self.assert_span("Scan") self.assert_table_names(span, self.default_table_name) self.assertEqual( - 21, span.attributes[SpanAttributes.AWS_DYNAMODB_SEGMENT] + 16, span.attributes[SpanAttributes.AWS_DYNAMODB_SEGMENT] ) self.assertEqual( 17, span.attributes[SpanAttributes.AWS_DYNAMODB_TOTAL_SEGMENTS] ) - self.assertEqual(1, span.attributes[SpanAttributes.AWS_DYNAMODB_COUNT]) + self.assertEqual(0, span.attributes[SpanAttributes.AWS_DYNAMODB_COUNT]) self.assertEqual( - 1, span.attributes[SpanAttributes.AWS_DYNAMODB_SCANNED_COUNT] + 0, span.attributes[SpanAttributes.AWS_DYNAMODB_SCANNED_COUNT] ) self.assert_attributes_to_get(span, "id", "idl") self.assert_consistent_read(span, True) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_secretsmanager.py b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_secretsmanager.py new file mode 100644 index 0000000000..d2fe8deb91 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_secretsmanager.py @@ -0,0 +1,86 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import botocore.session +from moto import mock_aws + +from opentelemetry.instrumentation.botocore import BotocoreInstrumentor +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_SECRETSMANAGER_SECRET_ARN, +) +from opentelemetry.test.test_base import TestBase + + +class TestSecretsManagerExtension(TestBase): + def setUp(self): + super().setUp() + BotocoreInstrumentor().instrument() + session = botocore.session.get_session() + session.set_credentials( + access_key="access-key", secret_key="secret-key" + ) + self.region = "us-west-2" + self.client = session.create_client( + "secretsmanager", region_name=self.region + ) + + def tearDown(self): + super().tearDown() + BotocoreInstrumentor().uninstrument() + + def create_secret_and_get_arn(self, name: str = "test-secret") -> str: + """ + Create a secret in mocked Secrets Manager and return its ARN. + """ + # Clear spans before creating secret for helper method + self.memory_exporter.clear() + response = self.client.create_secret( + Name=name, SecretString="test-secret-value" + ) + return response["ARN"] + + @mock_aws + def test_tag_resource_with_arn(self): + secret_arn = self.create_secret_and_get_arn() + + self.client.tag_resource( + SecretId=secret_arn, Tags=[{"Key": "Environment", "Value": "Test"}] + ) + + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 2) + span = spans[1] # tag_resource span + self.assertEqual( + span.attributes[AWS_SECRETSMANAGER_SECRET_ARN], + secret_arn, + ) + + @mock_aws + def test_create_secret(self): + secret_name = "test-secret" + response = self.client.create_secret( + Name=secret_name, SecretString="test-secret-value" + ) + secret_arn = response["ARN"] + + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 1) + span = spans[0] # create_secret span + # Should capture ARN from response + self.assertEqual( + span.attributes[AWS_SECRETSMANAGER_SECRET_ARN], + secret_arn, + ) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sfns.py b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sfns.py new file mode 100644 index 0000000000..36b1944af8 --- /dev/null +++ b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sfns.py @@ -0,0 +1,117 @@ +import json + +import botocore.session +from moto import mock_aws + +from opentelemetry.instrumentation.botocore import BotocoreInstrumentor +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_STEP_FUNCTIONS_ACTIVITY_ARN, + AWS_STEP_FUNCTIONS_STATE_MACHINE_ARN, +) +from opentelemetry.test.test_base import TestBase + + +class TestSfnsExtension(TestBase): + def setUp(self): + super().setUp() + BotocoreInstrumentor().instrument() + session = botocore.session.get_session() + session.set_credentials( + access_key="access-key", secret_key="secret-key" + ) + self.region = "us-west-2" + self.client = session.create_client( + "stepfunctions", region_name=self.region + ) + + def tearDown(self): + super().tearDown() + BotocoreInstrumentor().uninstrument() + + SIMPLE_STATE_MACHINE_DEF = { + "Comment": "A simple Hello World example", + "StartAt": "HelloState", + "States": { + "HelloState": { + "Type": "Pass", + "Result": "Hello, Moto!", + "End": True, + } + }, + } + + def create_state_machine_and_get_arn( + self, name: str = "TestStateMachine" + ) -> str: + """ + Create a state machine in mocked Step Functions and return its ARN. + """ + definition_json = json.dumps(self.SIMPLE_STATE_MACHINE_DEF) + role_arn = "arn:aws:iam::123456789012:role/DummyRole" + + response = self.client.create_state_machine( + name=name, + definition=definition_json, + roleArn=role_arn, + ) + return response["stateMachineArn"] + + def create_activity_and_get_arn(self, name: str = "TestActivity") -> str: + """ + Create an activity in mocked Step Functions and return its ARN. + """ + response = self.client.create_activity( + name=name, + ) + return response["activityArn"] + + @mock_aws + def test_sfns_create_state_machine(self): + state_machine_arn = self.create_state_machine_and_get_arn() + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 1) + span = spans[0] + self.assertEqual( + span.attributes[AWS_STEP_FUNCTIONS_STATE_MACHINE_ARN], + state_machine_arn, + ) + + @mock_aws + def test_sfns_describe_state_machine(self): + state_machine_arn = self.create_state_machine_and_get_arn() + self.client.describe_state_machine(stateMachineArn=state_machine_arn) + + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 2) + span = spans[1] + self.assertEqual( + span.attributes[AWS_STEP_FUNCTIONS_STATE_MACHINE_ARN], + state_machine_arn, + ) + + @mock_aws + def test_sfns_create_activity(self): + activity_arn = self.create_activity_and_get_arn() + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 1) + span = spans[0] + self.assertEqual( + span.attributes[AWS_STEP_FUNCTIONS_ACTIVITY_ARN], + activity_arn, + ) + + @mock_aws + def test_sfns_describe_activity(self): + activity_arn = self.create_activity_and_get_arn() + self.client.describe_activity(activityArn=activity_arn) + spans = self.memory_exporter.get_finished_spans() + assert spans + self.assertEqual(len(spans), 2) + span = spans[1] + self.assertEqual( + span.attributes[AWS_STEP_FUNCTIONS_ACTIVITY_ARN], + activity_arn, + ) diff --git a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sns.py b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sns.py index 38bdfc28a3..4cf504bfce 100644 --- a/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sns.py +++ b/instrumentation/opentelemetry-instrumentation-botocore/tests/test_botocore_sns.py @@ -21,6 +21,9 @@ from moto import mock_aws from opentelemetry.instrumentation.botocore import BotocoreInstrumentor +from opentelemetry.semconv._incubating.attributes.aws_attributes import ( + AWS_SNS_TOPIC_ARN, +) from opentelemetry.semconv.trace import ( MessagingDestinationKindValues, SpanAttributes, @@ -151,6 +154,10 @@ def test_publish_injects_span(self): ) span = self.assert_span(f"{self.topic_name} send") + self.assertEqual( + topic_arn, + span.attributes[AWS_SNS_TOPIC_ARN], + ) self.assert_injected_span(message_attrs, span) def test_publish_batch_to_topic(self): @@ -188,6 +195,10 @@ def test_publish_batch_to_topic(self): MessagingDestinationKindValues.TOPIC.value, span.attributes[SpanAttributes.MESSAGING_DESTINATION_KIND], ) + self.assertEqual( + topic_arn, + span.attributes[AWS_SNS_TOPIC_ARN], + ) self.assertEqual( topic_arn, span.attributes[SpanAttributes.MESSAGING_DESTINATION], @@ -199,3 +210,16 @@ def test_publish_batch_to_topic(self): self.assert_injected_span(message1_attrs, span) self.assert_injected_span(message2_attrs, span) + + @mock_aws + def test_create_topic_span(self): + _ = self.client.create_topic(Name=self.topic_name) + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(1, len(spans)) + span = spans[0] + self.assertEqual(SpanKind.CLIENT, span.kind) + self.assertEqual("SNS.CreateTopic", span.name) + self.assertEqual( + self.topic_arn, + span.attributes[AWS_SNS_TOPIC_ARN], + ) diff --git a/instrumentation/opentelemetry-instrumentation-cassandra/pyproject.toml b/instrumentation/opentelemetry-instrumentation-cassandra/pyproject.toml index 24fb7baa4d..559b3f26e6 100644 --- a/instrumentation/opentelemetry-instrumentation-cassandra/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-cassandra/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-cassandra/src/opentelemetry/instrumentation/cassandra/version.py b/instrumentation/opentelemetry-instrumentation-cassandra/src/opentelemetry/instrumentation/cassandra/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-cassandra/src/opentelemetry/instrumentation/cassandra/version.py +++ b/instrumentation/opentelemetry-instrumentation-cassandra/src/opentelemetry/instrumentation/cassandra/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-celery/pyproject.toml b/instrumentation/opentelemetry-instrumentation-celery/pyproject.toml index f09edb1fdd..0b6364c988 100644 --- a/instrumentation/opentelemetry-instrumentation-celery/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-celery/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-celery/src/opentelemetry/instrumentation/celery/version.py b/instrumentation/opentelemetry-instrumentation-celery/src/opentelemetry/instrumentation/celery/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-celery/src/opentelemetry/instrumentation/celery/version.py +++ b/instrumentation/opentelemetry-instrumentation-celery/src/opentelemetry/instrumentation/celery/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-click/pyproject.toml b/instrumentation/opentelemetry-instrumentation-click/pyproject.toml index 025fbf4950..8cc3e91091 100644 --- a/instrumentation/opentelemetry-instrumentation-click/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-click/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-click/src/opentelemetry/instrumentation/click/version.py b/instrumentation/opentelemetry-instrumentation-click/src/opentelemetry/instrumentation/click/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-click/src/opentelemetry/instrumentation/click/version.py +++ b/instrumentation/opentelemetry-instrumentation-click/src/opentelemetry/instrumentation/click/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-confluent-kafka/pyproject.toml b/instrumentation/opentelemetry-instrumentation-confluent-kafka/pyproject.toml index 8c49a8ba05..272caf0025 100644 --- a/instrumentation/opentelemetry-instrumentation-confluent-kafka/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-confluent-kafka/pyproject.toml @@ -25,7 +25,7 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "opentelemetry-api ~= 1.12", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/version.py b/instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/version.py +++ b/instrumentation/opentelemetry-instrumentation-confluent-kafka/src/opentelemetry/instrumentation/confluent_kafka/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-dbapi/pyproject.toml b/instrumentation/opentelemetry-instrumentation-dbapi/pyproject.toml index 7b74467a8f..16ea414faf 100644 --- a/instrumentation/opentelemetry-instrumentation-dbapi/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-dbapi/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-dbapi/src/opentelemetry/instrumentation/dbapi/version.py b/instrumentation/opentelemetry-instrumentation-dbapi/src/opentelemetry/instrumentation/dbapi/version.py index ada995bac7..7de8dd9eca 100644 --- a/instrumentation/opentelemetry-instrumentation-dbapi/src/opentelemetry/instrumentation/dbapi/version.py +++ b/instrumentation/opentelemetry-instrumentation-dbapi/src/opentelemetry/instrumentation/dbapi/version.py @@ -12,6 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" _instruments = tuple() diff --git a/instrumentation/opentelemetry-instrumentation-django/pyproject.toml b/instrumentation/opentelemetry-instrumentation-django/pyproject.toml index 97ecd17dce..5cd7f7fa4f 100644 --- a/instrumentation/opentelemetry-instrumentation-django/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-django/pyproject.toml @@ -26,15 +26,15 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-wsgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-wsgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] asgi = [ - "opentelemetry-instrumentation-asgi == 0.58b0.dev", + "opentelemetry-instrumentation-asgi == 0.59b0.dev", ] instruments = [ "django >= 1.10", diff --git a/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/__init__.py b/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/__init__.py index 7d92aff145..ebc3e08f4d 100644 --- a/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/__init__.py @@ -17,68 +17,6 @@ .. _django: https://pypi.org/project/django/ -SQLCOMMENTER -***************************************** -You can optionally configure Django instrumentation to enable sqlcommenter which enriches -the query with contextual information. - -Usage ------ - -.. code:: python - - from opentelemetry.instrumentation.django import DjangoInstrumentor - - DjangoInstrumentor().instrument(is_sql_commentor_enabled=True) - - -For example, -:: - - Invoking Users().objects.all() will lead to sql query "select * from auth_users" but when SQLCommenter is enabled - the query will get appended with some configurable tags like "select * from auth_users /*metrics=value*/;" - - -SQLCommenter Configurations -*************************** -We can configure the tags to be appended to the sqlquery log by adding below variables to the settings.py - -SQLCOMMENTER_WITH_FRAMEWORK = True(Default) or False - -For example, -:: -Enabling this flag will add django framework and it's version which is /*framework='django%3A2.2.3*/ - -SQLCOMMENTER_WITH_CONTROLLER = True(Default) or False - -For example, -:: -Enabling this flag will add controller name that handles the request /*controller='index'*/ - -SQLCOMMENTER_WITH_ROUTE = True(Default) or False - -For example, -:: -Enabling this flag will add url path that handles the request /*route='polls/'*/ - -SQLCOMMENTER_WITH_APP_NAME = True(Default) or False - -For example, -:: -Enabling this flag will add app name that handles the request /*app_name='polls'*/ - -SQLCOMMENTER_WITH_OPENTELEMETRY = True(Default) or False - -For example, -:: -Enabling this flag will add opentelemetry traceparent /*traceparent='00-fd720cffceba94bbf75940ff3caaf3cc-4fd1a2bdacf56388-01'*/ - -SQLCOMMENTER_WITH_DB_DRIVER = True(Default) or False - -For example, -:: -Enabling this flag will add name of the db driver /*db_driver='django.db.backends.postgresql'*/ - Usage ----- @@ -232,6 +170,65 @@ def response_hook(span, request, response): Note: The environment variable names used to capture HTTP headers are still experimental, and thus are subject to change. +SQLCOMMENTER +***************************************** +You can optionally configure Django instrumentation to enable sqlcommenter which enriches +the query with contextual information. + +.. code:: python + + from opentelemetry.instrumentation.django import DjangoInstrumentor + + DjangoInstrumentor().instrument(is_sql_commentor_enabled=True) + + +For example, +:: + + Invoking Users().objects.all() will lead to sql query "select * from auth_users" but when SQLCommenter is enabled + the query will get appended with some configurable tags like "select * from auth_users /*metrics=value*/;" + + +SQLCommenter Configurations +*************************** +We can configure the tags to be appended to the sqlquery log by adding below variables to the settings.py + +SQLCOMMENTER_WITH_FRAMEWORK = True(Default) or False + +For example, +:: +Enabling this flag will add django framework and it's version which is /*framework='django%3A2.2.3*/ + +SQLCOMMENTER_WITH_CONTROLLER = True(Default) or False + +For example, +:: +Enabling this flag will add controller name that handles the request /*controller='index'*/ + +SQLCOMMENTER_WITH_ROUTE = True(Default) or False + +For example, +:: +Enabling this flag will add url path that handles the request /*route='polls/'*/ + +SQLCOMMENTER_WITH_APP_NAME = True(Default) or False + +For example, +:: +Enabling this flag will add app name that handles the request /*app_name='polls'*/ + +SQLCOMMENTER_WITH_OPENTELEMETRY = True(Default) or False + +For example, +:: +Enabling this flag will add opentelemetry traceparent /*traceparent='00-fd720cffceba94bbf75940ff3caaf3cc-4fd1a2bdacf56388-01'*/ + +SQLCOMMENTER_WITH_DB_DRIVER = True(Default) or False + +For example, +:: +Enabling this flag will add name of the db driver /*db_driver='django.db.backends.postgresql'*/ + API --- diff --git a/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/version.py b/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/version.py +++ b/instrumentation/opentelemetry-instrumentation-django/src/opentelemetry/instrumentation/django/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-django/tests/test_middleware_asgi.py b/instrumentation/opentelemetry-instrumentation-django/tests/test_middleware_asgi.py index d06c9c635c..a527f404b2 100644 --- a/instrumentation/opentelemetry-instrumentation-django/tests/test_middleware_asgi.py +++ b/instrumentation/opentelemetry-instrumentation-django/tests/test_middleware_asgi.py @@ -174,7 +174,7 @@ async def test_templated_route_get(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/route/2020/template/", + "http://testserver/route/2020/template/", ) self.assertEqual( span.attributes[SpanAttributes.HTTP_ROUTE], @@ -219,7 +219,7 @@ async def test_templated_route_get_both_semconv(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/route/2020/template/", + "http://testserver/route/2020/template/", ) self.assertEqual(span.attributes[SpanAttributes.HTTP_SCHEME], "http") self.assertEqual(span.attributes[SpanAttributes.HTTP_STATUS_CODE], 200) @@ -248,7 +248,7 @@ async def test_traced_get(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/traced/", + "http://testserver/traced/", ) self.assertEqual( span.attributes[SpanAttributes.HTTP_ROUTE], "^traced/" @@ -289,7 +289,7 @@ async def test_traced_get_both_semconv(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/traced/", + "http://testserver/traced/", ) self.assertEqual(span.attributes[SpanAttributes.HTTP_SCHEME], "http") self.assertEqual(span.attributes[SpanAttributes.HTTP_STATUS_CODE], 200) @@ -328,7 +328,7 @@ async def test_traced_post(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "POST") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/traced/", + "http://testserver/traced/", ) self.assertEqual( span.attributes[SpanAttributes.HTTP_ROUTE], "^traced/" @@ -369,7 +369,7 @@ async def test_traced_post_both_semconv(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "POST") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/traced/", + "http://testserver/traced/", ) self.assertEqual(span.attributes[SpanAttributes.HTTP_SCHEME], "http") self.assertEqual(span.attributes[SpanAttributes.HTTP_STATUS_CODE], 200) @@ -396,7 +396,7 @@ async def test_error(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/error/", + "http://testserver/error/", ) self.assertEqual(span.attributes[SpanAttributes.HTTP_ROUTE], "^error/") self.assertEqual(span.attributes[SpanAttributes.HTTP_SCHEME], "http") @@ -450,7 +450,7 @@ async def test_error_both_semconv(self): self.assertEqual(span.attributes[SpanAttributes.HTTP_METHOD], "GET") self.assertEqual( span.attributes[SpanAttributes.HTTP_URL], - "http://127.0.0.1/error/", + "http://testserver/error/", ) self.assertEqual(span.attributes[SpanAttributes.HTTP_ROUTE], "^error/") self.assertEqual(span.attributes[SpanAttributes.HTTP_SCHEME], "http") diff --git a/instrumentation/opentelemetry-instrumentation-elasticsearch/pyproject.toml b/instrumentation/opentelemetry-instrumentation-elasticsearch/pyproject.toml index 935e2150d4..a35cd9f551 100644 --- a/instrumentation/opentelemetry-instrumentation-elasticsearch/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-elasticsearch/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-elasticsearch/src/opentelemetry/instrumentation/elasticsearch/version.py b/instrumentation/opentelemetry-instrumentation-elasticsearch/src/opentelemetry/instrumentation/elasticsearch/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-elasticsearch/src/opentelemetry/instrumentation/elasticsearch/version.py +++ b/instrumentation/opentelemetry-instrumentation-elasticsearch/src/opentelemetry/instrumentation/elasticsearch/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-falcon/pyproject.toml b/instrumentation/opentelemetry-instrumentation-falcon/pyproject.toml index 43d29c85d0..1980a7deea 100644 --- a/instrumentation/opentelemetry-instrumentation-falcon/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-falcon/pyproject.toml @@ -26,10 +26,10 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-wsgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-wsgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "packaging >= 20.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-falcon/src/opentelemetry/instrumentation/falcon/version.py b/instrumentation/opentelemetry-instrumentation-falcon/src/opentelemetry/instrumentation/falcon/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-falcon/src/opentelemetry/instrumentation/falcon/version.py +++ b/instrumentation/opentelemetry-instrumentation-falcon/src/opentelemetry/instrumentation/falcon/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-fastapi/pyproject.toml b/instrumentation/opentelemetry-instrumentation-fastapi/pyproject.toml index 88bec68920..9d924d4018 100644 --- a/instrumentation/opentelemetry-instrumentation-fastapi/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-fastapi/pyproject.toml @@ -26,10 +26,10 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-asgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-asgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/__init__.py b/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/__init__.py index 3e39a74a49..97854830c2 100644 --- a/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/__init__.py @@ -185,14 +185,14 @@ def client_response_hook(span: Span, scope: dict[str, Any], message: dict[str, A import functools import logging import types -from typing import Collection, Literal +from typing import Any, Collection, Literal from weakref import WeakSet as _WeakSet import fastapi from starlette.applications import Starlette from starlette.middleware.errors import ServerErrorMiddleware from starlette.routing import Match -from starlette.types import ASGIApp +from starlette.types import ASGIApp, Receive, Scope, Send from opentelemetry.instrumentation._semconv import ( _get_schema_url, @@ -211,7 +211,8 @@ def client_response_hook(span: Span, scope: dict[str, Any], message: dict[str, A from opentelemetry.instrumentation.instrumentor import BaseInstrumentor from opentelemetry.metrics import MeterProvider, get_meter from opentelemetry.semconv.attributes.http_attributes import HTTP_ROUTE -from opentelemetry.trace import TracerProvider, get_tracer +from opentelemetry.trace import TracerProvider, get_current_span, get_tracer +from opentelemetry.trace.status import Status, StatusCode from opentelemetry.util.http import ( get_excluded_urls, parse_excluded_urls, @@ -243,7 +244,7 @@ def instrument_app( http_capture_headers_server_response: list[str] | None = None, http_capture_headers_sanitize_fields: list[str] | None = None, exclude_spans: list[Literal["receive", "send"]] | None = None, - ): + ): # pylint: disable=too-many-locals """Instrument an uninstrumented FastAPI application. Args: @@ -290,17 +291,80 @@ def instrument_app( schema_url=_get_schema_url(sem_conv_opt_in_mode), ) - # Instead of using `app.add_middleware` we monkey patch `build_middleware_stack` to insert our middleware - # as the outermost middleware. - # Otherwise `OpenTelemetryMiddleware` would have unhandled exceptions tearing through it and would not be able - # to faithfully record what is returned to the client since it technically cannot know what `ServerErrorMiddleware` is going to do. - def build_middleware_stack(self: Starlette) -> ASGIApp: - inner_server_error_middleware: ASGIApp = ( # type: ignore + # Define an additional middleware for exception handling + # Normally, `opentelemetry.trace.use_span` covers the recording of + # exceptions into the active span, but `OpenTelemetryMiddleware` + # ends the span too early before the exception can be recorded. + class ExceptionHandlerMiddleware: + def __init__(self, app): + self.app = app + + async def __call__( + self, scope: Scope, receive: Receive, send: Send + ) -> None: + try: + await self.app(scope, receive, send) + except Exception as exc: # pylint: disable=broad-exception-caught + span = get_current_span() + if span.is_recording(): + span.record_exception(exc) + span.set_status( + Status( + status_code=StatusCode.ERROR, + description=f"{type(exc).__name__}: {exc}", + ) + ) + raise + + # For every possible use case of error handling, exception + # handling, trace availability in exception handlers and + # automatic exception recording to work, we need to make a + # series of wrapping and re-wrapping middlewares. + + # First, grab the original middleware stack from Starlette. It + # comprises a stack of + # `ServerErrorMiddleware` -> [user defined middlewares] -> `ExceptionMiddleware` + inner_server_error_middleware: ServerErrorMiddleware = ( # type: ignore self._original_build_middleware_stack() # type: ignore ) + + if not isinstance( + inner_server_error_middleware, ServerErrorMiddleware + ): + # Oops, something changed about how Starlette creates middleware stacks + _logger.error( + "Skipping FastAPI instrumentation due to unexpected middleware stack: expected %s, got %s", + ServerErrorMiddleware.__name__, + type(inner_server_error_middleware), + ) + return inner_server_error_middleware + + # We take [user defined middlewares] -> `ExceptionHandlerMiddleware` + # out of the outermost `ServerErrorMiddleware` and instead pass + # it to our own `ExceptionHandlerMiddleware` + exception_middleware = ExceptionHandlerMiddleware( + inner_server_error_middleware.app + ) + + # Now, we create a new `ServerErrorMiddleware` that wraps + # `ExceptionHandlerMiddleware` but otherwise uses the same + # original `handler` and debug setting. The end result is a + # middleware stack that's identical to the original stack except + # all user middlewares are covered by our + # `ExceptionHandlerMiddleware`. + error_middleware = ServerErrorMiddleware( + app=exception_middleware, + handler=inner_server_error_middleware.handler, + debug=inner_server_error_middleware.debug, + ) + + # Finally, we wrap the stack above in our actual OTEL + # middleware. As a result, an active tracing context exists for + # every use case of user-defined error and exception handlers as + # well as automatic recording of exceptions in active spans. otel_middleware = OpenTelemetryMiddleware( - inner_server_error_middleware, + error_middleware, excluded_urls=excluded_urls, default_span_details=_get_default_span_details, server_request_hook=server_request_hook, @@ -314,23 +378,18 @@ def build_middleware_stack(self: Starlette) -> ASGIApp: http_capture_headers_sanitize_fields=http_capture_headers_sanitize_fields, exclude_spans=exclude_spans, ) - # Wrap in an outer layer of ServerErrorMiddleware so that any exceptions raised in OpenTelemetryMiddleware - # are handled. - # This should not happen unless there is a bug in OpenTelemetryMiddleware, but if there is we don't want that - # to impact the user's application just because we wrapped the middlewares in this order. - if isinstance( - inner_server_error_middleware, ServerErrorMiddleware - ): # usually true - outer_server_error_middleware = ServerErrorMiddleware( - app=otel_middleware, - ) - else: - # Something else seems to have patched things, or maybe Starlette changed. - # Just create a default ServerErrorMiddleware. - outer_server_error_middleware = ServerErrorMiddleware( - app=otel_middleware - ) - return outer_server_error_middleware + + # Ultimately, wrap everything in another default + # `ServerErrorMiddleware` (w/o user handlers) so that any + # exceptions raised in `OpenTelemetryMiddleware` are handled. + # + # This should not happen unless there is a bug in + # OpenTelemetryMiddleware, but if there is we don't want that to + # impact the user's application just because we wrapped the + # middlewares in this order. + return ServerErrorMiddleware( + app=otel_middleware, + ) app._original_build_middleware_stack = app.build_middleware_stack app.build_middleware_stack = types.MethodType( @@ -367,30 +426,9 @@ def uninstrument_app(app: fastapi.FastAPI): def instrumentation_dependencies(self) -> Collection[str]: return _instruments - def _instrument(self, **kwargs): + def _instrument(self, **kwargs: Any): self._original_fastapi = fastapi.FastAPI - _InstrumentedFastAPI._tracer_provider = kwargs.get("tracer_provider") - _InstrumentedFastAPI._server_request_hook = kwargs.get( - "server_request_hook" - ) - _InstrumentedFastAPI._client_request_hook = kwargs.get( - "client_request_hook" - ) - _InstrumentedFastAPI._client_response_hook = kwargs.get( - "client_response_hook" - ) - _InstrumentedFastAPI._http_capture_headers_server_request = kwargs.get( - "http_capture_headers_server_request" - ) - _InstrumentedFastAPI._http_capture_headers_server_response = ( - kwargs.get("http_capture_headers_server_response") - ) - _InstrumentedFastAPI._http_capture_headers_sanitize_fields = ( - kwargs.get("http_capture_headers_sanitize_fields") - ) - _InstrumentedFastAPI._excluded_urls = kwargs.get("excluded_urls") - _InstrumentedFastAPI._meter_provider = kwargs.get("meter_provider") - _InstrumentedFastAPI._exclude_spans = kwargs.get("exclude_spans") + _InstrumentedFastAPI._instrument_kwargs = kwargs fastapi.FastAPI = _InstrumentedFastAPI def _uninstrument(self, **kwargs): @@ -405,35 +443,16 @@ def _uninstrument(self, **kwargs): class _InstrumentedFastAPI(fastapi.FastAPI): - _tracer_provider = None - _meter_provider = None - _excluded_urls = None - _server_request_hook: ServerRequestHook = None - _client_request_hook: ClientRequestHook = None - _client_response_hook: ClientResponseHook = None - _http_capture_headers_server_request: list[str] | None = None - _http_capture_headers_server_response: list[str] | None = None - _http_capture_headers_sanitize_fields: list[str] | None = None - _exclude_spans: list[Literal["receive", "send"]] | None = None + _instrument_kwargs: dict[str, Any] = {} # Track instrumented app instances using weak references to avoid GC leaks - _instrumented_fastapi_apps = _WeakSet() + _instrumented_fastapi_apps: _WeakSet[fastapi.FastAPI] = _WeakSet() _sem_conv_opt_in_mode = _StabilityMode.DEFAULT - def __init__(self, *args, **kwargs): + def __init__(self, *args: Any, **kwargs: Any): super().__init__(*args, **kwargs) FastAPIInstrumentor.instrument_app( - self, - server_request_hook=self._server_request_hook, - client_request_hook=self._client_request_hook, - client_response_hook=self._client_response_hook, - tracer_provider=self._tracer_provider, - meter_provider=self._meter_provider, - excluded_urls=self._excluded_urls, - http_capture_headers_server_request=self._http_capture_headers_server_request, - http_capture_headers_server_response=self._http_capture_headers_server_response, - http_capture_headers_sanitize_fields=self._http_capture_headers_sanitize_fields, - exclude_spans=self._exclude_spans, + self, **_InstrumentedFastAPI._instrument_kwargs ) _InstrumentedFastAPI._instrumented_fastapi_apps.add(self) @@ -457,7 +476,11 @@ def _get_route_details(scope): for starlette_route in app.routes: match, _ = starlette_route.matches(scope) if match == Match.FULL: - route = starlette_route.path + try: + route = starlette_route.path + except AttributeError: + # routes added via host routing won't have a path attribute + route = scope.get("path") break if match == Match.PARTIAL: route = starlette_route.path diff --git a/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/version.py b/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/version.py +++ b/instrumentation/opentelemetry-instrumentation-fastapi/src/opentelemetry/instrumentation/fastapi/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-fastapi/tests/test_fastapi_instrumentation.py b/instrumentation/opentelemetry-instrumentation-fastapi/tests/test_fastapi_instrumentation.py index 0a4fd6c037..a97697f582 100644 --- a/instrumentation/opentelemetry-instrumentation-fastapi/tests/test_fastapi_instrumentation.py +++ b/instrumentation/opentelemetry-instrumentation-fastapi/tests/test_fastapi_instrumentation.py @@ -15,15 +15,18 @@ # pylint: disable=too-many-lines import gc as _gc +import logging import unittest import weakref as _weakref from contextlib import ExitStack from timeit import default_timer +from typing import Any, cast from unittest.mock import Mock, call, patch import fastapi +import pytest from fastapi.middleware.httpsredirect import HTTPSRedirectMiddleware -from fastapi.responses import JSONResponse +from fastapi.responses import JSONResponse, PlainTextResponse from fastapi.testclient import TestClient import opentelemetry.instrumentation.fastapi as otel_fastapi @@ -40,14 +43,13 @@ from opentelemetry.instrumentation.auto_instrumentation._load import ( _load_instrumentors, ) -from opentelemetry.instrumentation.dependencies import ( - DependencyConflict, -) +from opentelemetry.instrumentation.dependencies import DependencyConflict from opentelemetry.sdk.metrics.export import ( HistogramDataPoint, NumberDataPoint, ) from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import ReadableSpan from opentelemetry.semconv._incubating.attributes.http_attributes import ( HTTP_FLAVOR, HTTP_HOST, @@ -61,6 +63,9 @@ from opentelemetry.semconv._incubating.attributes.net_attributes import ( NET_HOST_PORT, ) +from opentelemetry.semconv.attributes.exception_attributes import ( + EXCEPTION_TYPE, +) from opentelemetry.semconv.attributes.http_attributes import ( HTTP_REQUEST_METHOD, HTTP_RESPONSE_STATUS_CODE, @@ -72,6 +77,7 @@ from opentelemetry.semconv.attributes.url_attributes import URL_SCHEME from opentelemetry.test.globals_test import reset_trace_globals from opentelemetry.test.test_base import TestBase +from opentelemetry.trace.status import StatusCode from opentelemetry.util._importlib_metadata import entry_points from opentelemetry.util.http import ( OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SANITIZE_FIELDS, @@ -230,6 +236,7 @@ async def _(): raise UnhandledException("This is an unhandled exception") app.mount("/sub", app=sub_app) + app.host("testserver2", sub_app) return app @@ -302,10 +309,30 @@ def test_sub_app_fastapi_call(self): for span in spans_with_http_attributes: self.assertEqual("/sub/home", span.attributes[HTTP_TARGET]) self.assertEqual( - "https://testserver:443/sub/home", + "https://testserver/sub/home", span.attributes[HTTP_URL], ) + def test_host_fastapi_call(self): + client = TestClient(self._app, base_url="https://testserver2:443") + client.get("/") + spans = self.memory_exporter.get_finished_spans() + + spans_with_http_attributes = [ + span + for span in spans + if (HTTP_URL in span.attributes or HTTP_TARGET in span.attributes) + ] + + self.assertEqual(1, len(spans_with_http_attributes)) + + for span in spans_with_http_attributes: + self.assertEqual("/", span.attributes[HTTP_TARGET]) + self.assertEqual( + "https://testserver2/", + span.attributes[HTTP_URL], + ) + class TestBaseAutoFastAPI(TestBaseFastAPI): @classmethod @@ -360,7 +387,7 @@ def test_sub_app_fastapi_call(self): for span in spans_with_http_attributes: self.assertEqual("/sub/home", span.attributes[HTTP_TARGET]) self.assertEqual( - "https://testserver:443/sub/home", + "https://testserver/sub/home", span.attributes[HTTP_URL], ) @@ -1020,44 +1047,45 @@ async def _(): return app -class TestFastAPIManualInstrumentationHooks(TestBaseManualFastAPI): - _server_request_hook = None - _client_request_hook = None - _client_response_hook = None - - def server_request_hook(self, span, scope): - if self._server_request_hook is not None: - self._server_request_hook(span, scope) - - def client_request_hook(self, receive_span, scope, message): - if self._client_request_hook is not None: - self._client_request_hook(receive_span, scope, message) - - def client_response_hook(self, send_span, scope, message): - if self._client_response_hook is not None: - self._client_response_hook(send_span, scope, message) - - def test_hooks(self): - def server_request_hook(span, scope): +class TestFastAPIManualInstrumentationHooks(TestBaseFastAPI): + def _create_app(self): + def server_request_hook(span: trace.Span, scope: dict[str, Any]): span.update_name("name from server hook") - def client_request_hook(receive_span, scope, message): + def client_request_hook( + receive_span: trace.Span, + scope: dict[str, Any], + message: dict[str, Any], + ): receive_span.update_name("name from client hook") receive_span.set_attribute("attr-from-request-hook", "set") - def client_response_hook(send_span, scope, message): + def client_response_hook( + send_span: trace.Span, + scope: dict[str, Any], + message: dict[str, Any], + ): send_span.update_name("name from response hook") send_span.set_attribute("attr-from-response-hook", "value") - self._server_request_hook = server_request_hook - self._client_request_hook = client_request_hook - self._client_response_hook = client_response_hook + self._instrumentor.instrument( + server_request_hook=server_request_hook, + client_request_hook=client_request_hook, + client_response_hook=client_response_hook, + ) + + app = self._create_fastapi_app() + + return app + def test_hooks(self): self._client.get("/foobar") - spans = self.sorted_spans(self.memory_exporter.get_finished_spans()) - self.assertEqual( - len(spans), 3 - ) # 1 server span and 2 response spans (response start and body) + + spans = cast( + list[ReadableSpan], + self.sorted_spans(self.memory_exporter.get_finished_spans()), + ) + self.assertEqual(len(spans), 3) server_span = spans[2] self.assertEqual(server_span.name, "name from server hook") @@ -1246,7 +1274,7 @@ def test_sub_app_fastapi_call(self): for span in spans_with_http_attributes: self.assertEqual("/sub/home", span.attributes[HTTP_TARGET]) self.assertEqual( - "https://testserver:443/sub/home", + "https://testserver/sub/home", span.attributes[HTTP_URL], ) @@ -1334,7 +1362,7 @@ def test_sub_app_fastapi_call(self): for span in spans_with_http_attributes: self.assertEqual("/sub/home", span.attributes[HTTP_TARGET]) self.assertEqual( - "https://testserver:443/sub/home", + "https://testserver/sub/home", span.attributes[HTTP_URL], ) @@ -1889,3 +1917,507 @@ def test_custom_header_not_present_in_non_recording_span(self): self.assertEqual(200, resp.status_code) span_list = self.memory_exporter.get_finished_spans() self.assertEqual(len(span_list), 0) + + +class TestTraceableExceptionHandling(TestBase): + """Tests to ensure FastAPI exception handlers are only executed once and with a valid context""" + + def setUp(self): + super().setUp() + + self.app = fastapi.FastAPI() + + otel_fastapi.FastAPIInstrumentor().instrument_app( + self.app, exclude_spans=["receive", "send"] + ) + self.client = TestClient(self.app) + self.tracer = self.tracer_provider.get_tracer(__name__) + self.executed = 0 + self.request_trace_id = None + self.error_trace_id = None + + def tearDown(self) -> None: + super().tearDown() + with self.disable_logging(): + otel_fastapi.FastAPIInstrumentor().uninstrument_app(self.app) + + def test_error_handler_context(self): + """OTEL tracing contexts must be available during error handler + execution, and handlers must only be executed once""" + + status_code = 501 + + @self.app.exception_handler(Exception) + async def _(*_): + self.error_trace_id = ( + trace.get_current_span().get_span_context().trace_id + ) + self.executed += 1 + return PlainTextResponse("", status_code) + + @self.app.get("/foobar") + async def _(): + self.request_trace_id = ( + trace.get_current_span().get_span_context().trace_id + ) + raise UnhandledException("Test Exception") + + try: + self.client.get( + "/foobar", + ) + except UnhandledException: + pass + + self.assertIsNotNone(self.request_trace_id) + self.assertEqual(self.request_trace_id, self.error_trace_id) + + spans = self.memory_exporter.get_finished_spans() + + self.assertEqual(len(spans), 1) + span = spans[0] + self.assertEqual(span.name, "GET /foobar") + self.assertEqual(span.attributes.get(HTTP_STATUS_CODE), status_code) + self.assertEqual(span.status.status_code, StatusCode.ERROR) + self.assertEqual(len(span.events), 1) + event = span.events[0] + self.assertEqual(event.name, "exception") + assert event.attributes is not None + self.assertEqual( + event.attributes.get(EXCEPTION_TYPE), + f"{__name__}.UnhandledException", + ) + self.assertEqual(self.executed, 1) + + def test_exception_span_recording(self): + """Exceptions are always recorded in the active span""" + + @self.app.get("/foobar") + async def _(): + raise UnhandledException("Test Exception") + + try: + self.client.get( + "/foobar", + ) + except UnhandledException: + pass + + spans = self.memory_exporter.get_finished_spans() + + self.assertEqual(len(spans), 1) + span = spans[0] + self.assertEqual(span.name, "GET /foobar") + self.assertEqual(span.attributes.get(HTTP_STATUS_CODE), 500) + self.assertEqual(span.status.status_code, StatusCode.ERROR) + self.assertEqual(len(span.events), 1) + event = span.events[0] + self.assertEqual(event.name, "exception") + assert event.attributes is not None + self.assertEqual( + event.attributes.get(EXCEPTION_TYPE), + f"{__name__}.UnhandledException", + ) + + def test_middleware_exceptions(self): + """Exceptions from user middlewares are recorded in the active span""" + + @self.app.get("/foobar") + async def _(): + return PlainTextResponse("Hello World") + + @self.app.middleware("http") + async def _(*_): + raise UnhandledException("Test Exception") + + try: + self.client.get( + "/foobar", + ) + except UnhandledException: + pass + + spans = self.memory_exporter.get_finished_spans() + + self.assertEqual(len(spans), 1) + span = spans[0] + self.assertEqual(span.name, "GET /foobar") + self.assertEqual(span.attributes.get(HTTP_STATUS_CODE), 500) + self.assertEqual(span.status.status_code, StatusCode.ERROR) + self.assertEqual(len(span.events), 1) + event = span.events[0] + self.assertEqual(event.name, "exception") + assert event.attributes is not None + self.assertEqual( + event.attributes.get(EXCEPTION_TYPE), + f"{__name__}.UnhandledException", + ) + + +# pylint: disable=attribute-defined-outside-init +class TestFastAPIFallback(TestBaseFastAPI): + @pytest.fixture(autouse=True) + def inject_fixtures(self, caplog): + self.caplog = caplog + + @staticmethod + def _create_fastapi_app(): + app = TestBaseFastAPI._create_fastapi_app() + + def build_middleware_stack(): + return app.router + + app.build_middleware_stack = build_middleware_stack + return app + + def setUp(self): + super().setUp() + self.client = TestClient(self._app) + + def test_no_instrumentation(self): + self.client.get( + "/foobar", + ) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 0) + + errors = [ + record + for record in self.caplog.get_records("call") + if record.levelno >= logging.ERROR + ] + self.assertEqual(len(errors), 1) + self.assertEqual( + errors[0].getMessage(), + "Skipping FastAPI instrumentation due to unexpected middleware stack: expected ServerErrorMiddleware, got ", + ) + + +class TestFastAPIHostHeaderURL(TestBaseManualFastAPI): + """Test suite for Host header URL functionality in FastAPI instrumentation.""" + + def test_host_header_url_construction(self): + """Test that URLs use Host header value instead of server IP when available.""" + # Test with a custom Host header - should use the domain name + resp = self._client.get( + "/foobar?param=value", headers={"host": "api.mycompany.com"} + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + self.assertEqual(len(spans), 3) + + # Find the server span (the main span, not internal middleware spans) + server_span = None + for span in spans: + if ( + span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ): + server_span = span + break + + self.assertIsNotNone( + server_span, "Server span with HTTP_URL not found" + ) + + # Verify the URL uses the Host header domain instead of testserver + expected_url = "https://api.mycompany.com/foobar?param=value" + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + # Also verify that the server name attribute is set correctly + self.assertEqual( + "api.mycompany.com", server_span.attributes.get("http.server_name") + ) + + def test_host_header_with_port_url_construction(self): + """Test Host header URL construction when host includes port.""" + resp = self._client.get( + "/user/123", headers={"host": "staging.myapp.com:8443"} + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # Should use the host header value with non-standard port included + expected_url = "https://staging.myapp.com:8443/user/123" + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + def test_no_host_header_fallback_behavior(self): + """Test fallback to server name when no Host header is present.""" + # Make request without custom Host header - should use testserver (default TestClient base) + resp = self._client.get("/foobar") + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # Should fallback to testserver (TestClient default, standard port stripped) + expected_url = "https://testserver/foobar" + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + def test_production_scenario_host_header(self): + """Test a realistic production scenario with Host header.""" + # Simulate a production request with public domain in Host header + resp = self._client.get( + "/foobar?limit=10&offset=20", + headers={ + "host": "prod-api.example.com", + "user-agent": "ProductionClient/1.0", + }, + ) + self.assertEqual( + 200, resp.status_code + ) # Valid route should return 200 + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # URL should use the production domain from Host header (AS-IS, no default port) + expected_url = "https://prod-api.example.com/foobar?limit=10&offset=20" + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + # Verify other attributes are still correct + self.assertEqual("GET", server_span.attributes[HTTP_METHOD]) + self.assertEqual("/foobar", server_span.attributes[HTTP_TARGET]) + self.assertEqual( + "prod-api.example.com", + server_span.attributes.get("http.server_name"), + ) + + def test_host_header_with_special_characters(self): + """Test Host header handling with special characters and edge cases.""" + test_cases = [ + ( + "api-v2.test-domain.com", + "https://api-v2.test-domain.com/foobar", + ), + ("localhost", "https://localhost/foobar"), + ( + "192.168.1.100", + "https://192.168.1.100/foobar", + ), # IP address as host + ( + "test.domain.co.uk", + "https://test.domain.co.uk/foobar", + ), # Multiple dots + ] + + for host_value, expected_url in test_cases: + with self.subTest(host=host_value): + # Clear previous spans + self.memory_exporter.clear() + + resp = self._client.get( + "/foobar", headers={"host": host_value} + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + def test_host_header_maintains_span_attributes(self): + """Test that using Host header doesn't break other span attributes.""" + resp = self._client.get( + "/user/testuser?debug=true", + headers={ + "host": "api.testapp.com", + "user-agent": "TestClient/1.0", + }, + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # Verify URL uses Host header + self.assertEqual( + "https://api.testapp.com/user/testuser?debug=true", + server_span.attributes[HTTP_URL], + ) + + # Verify all other attributes are still present and correct + self.assertEqual("GET", server_span.attributes[HTTP_METHOD]) + self.assertEqual("/user/testuser", server_span.attributes[HTTP_TARGET]) + self.assertEqual("https", server_span.attributes[HTTP_SCHEME]) + self.assertEqual( + "api.testapp.com", server_span.attributes.get("http.server_name") + ) + self.assertEqual(200, server_span.attributes[HTTP_STATUS_CODE]) + + # Check that route attribute is still set correctly + if HTTP_ROUTE in server_span.attributes: + self.assertEqual( + "/user/{username}", server_span.attributes[HTTP_ROUTE] + ) + + +class TestFastAPIHostHeaderURLNewSemconv(TestFastAPIHostHeaderURL): + """Test Host header URL functionality with new semantic conventions.""" + + def test_host_header_url_new_semconv(self): + """Test Host header URL construction with new semantic conventions. + + Note: With new semantic conventions, the URL is split into components + (url.scheme, server.address, url.path, etc.) rather than a single http.url. + Host header support may work differently with new semantic conventions. + """ + resp = self._client.get( + "/foobar?test=new_semconv", headers={"host": "newapi.example.com"} + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + # With new semantic conventions, look for the main HTTP span with route information + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and "http.route" in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # Verify we have the new semantic convention attributes + self.assertIn("url.scheme", server_span.attributes) + self.assertIn("server.address", server_span.attributes) + self.assertIn("url.path", server_span.attributes) + self.assertEqual("https", server_span.attributes.get("url.scheme")) + self.assertEqual("/foobar", server_span.attributes.get("url.path")) + + # Current behavior: Host header may not affect server.address in new semantic conventions + # This test documents the current behavior rather than enforcing Host header usage + server_address = server_span.attributes.get("server.address", "") + self.assertIsNotNone( + server_address, "testserver" + ) # Should have some value + + +class TestFastAPIHostHeaderURLBothSemconv(TestFastAPIHostHeaderURL): + """Test Host header URL functionality with both old and new semantic conventions.""" + + def test_host_header_url_both_semconv(self): + """Test Host header URL construction with both semantic conventions enabled.""" + resp = self._client.get( + "/foobar?test=both_semconv", headers={"host": "dual.example.com"} + ) + self.assertEqual(200, resp.status_code) + + spans = self.memory_exporter.get_finished_spans() + server_span = next( + ( + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and HTTP_URL in span.attributes + ), + None, + ) + self.assertIsNotNone(server_span) + + # Should use Host header for URL construction regardless of semantic convention mode + expected_url = "https://dual.example.com/foobar?test=both_semconv" + actual_url = server_span.attributes[HTTP_URL] + self.assertEqual(expected_url, actual_url) + + def test_fastapi_unhandled_exception(self): + """Override inherited test - use the both_semconv version instead.""" + self.skipTest( + "Use test_fastapi_unhandled_exception_both_semconv instead" + ) + + def test_fastapi_unhandled_exception_both_semconv(self): + """If the application has an unhandled error the instrumentation should capture that a 500 response is returned.""" + try: + resp = self._client.get("/error") + assert ( + resp.status_code == 500 + ), resp.content # pragma: no cover, for debugging this test if an exception is _not_ raised + except UnhandledException: + pass + else: + self.fail("Expected UnhandledException") + + spans = self.memory_exporter.get_finished_spans() + # With both semantic conventions enabled, we expect 3 spans: + # 1. Server span (main HTTP span) + # 2. ASGI receive span + # 3. ASGI send span (for error response) + self.assertEqual(len(spans), 3) + + # Find the server span (it should have HTTP attributes) + server_spans = [ + span + for span in spans + if span.kind == trace.SpanKind.SERVER + and hasattr(span, "attributes") + and span.attributes + and HTTP_URL in span.attributes + ] + + self.assertEqual( + len(server_spans), + 1, + "Expected exactly one server span with HTTP_URL", + ) + server_span = server_spans[0] + + # Ensure server_span is not None + assert server_span is not None + + self.assertEqual(server_span.name, "GET /error") diff --git a/instrumentation/opentelemetry-instrumentation-flask/pyproject.toml b/instrumentation/opentelemetry-instrumentation-flask/pyproject.toml index e3029c2745..7a0ccb3725 100644 --- a/instrumentation/opentelemetry-instrumentation-flask/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-flask/pyproject.toml @@ -26,10 +26,10 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-wsgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-wsgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "packaging >= 21.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/__init__.py b/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/__init__.py index 12db5b9a68..9a22383e1b 100644 --- a/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/__init__.py @@ -24,58 +24,6 @@ * The ``http.route`` Span attribute is set so that one can see which URL rule matched a request. -SQLCOMMENTER -***************************************** -You can optionally configure Flask instrumentation to enable sqlcommenter which enriches -the query with contextual information. - -Usage ------ - -.. code:: python - - from opentelemetry.instrumentation.flask import FlaskInstrumentor - - FlaskInstrumentor().instrument(enable_commenter=True, commenter_options={}) - -For example, FlaskInstrumentor when used with SQLAlchemyInstrumentor or Psycopg2Instrumentor, -invoking ``cursor.execute("select * from auth_users")`` will lead to sql query -``select * from auth_users`` but when SQLCommenter is enabled the query will get appended with -some configurable tags like: - -.. code:: - - select * from auth_users /*metrics=value*/;" - -Inorder for the commenter to append flask related tags to sql queries, the commenter needs -to enabled on the respective SQLAlchemyInstrumentor or Psycopg2Instrumentor framework too. - -SQLCommenter Configurations -*************************** -We can configure the tags to be appended to the sqlquery log by adding configuration -inside ``commenter_options={}`` dict. - -For example, enabling this flag will add flask and it's version which -is ``/*flask%%3A2.9.3*/`` to the SQL query as a comment (default is True): - -.. code:: python - - framework = True - -For example, enabling this flag will add route uri ``/*route='/home'*/`` -to the SQL query as a comment (default is True): - -.. code:: python - - route = True - -For example, enabling this flag will add controller name ``/*controller='home_view'*/`` -to the SQL query as a comment (default is True): - -.. code:: python - - controller = True - Usage ----- @@ -241,6 +189,55 @@ def response_hook(span: Span, status: str, response_headers: List): Note: The environment variable names used to capture HTTP headers are still experimental, and thus are subject to change. +SQLCOMMENTER +***************************************** +You can optionally configure Flask instrumentation to enable sqlcommenter which enriches +the query with contextual information. + +.. code:: python + + from opentelemetry.instrumentation.flask import FlaskInstrumentor + + FlaskInstrumentor().instrument(enable_commenter=True, commenter_options={}) + +For example, FlaskInstrumentor when used with SQLAlchemyInstrumentor or Psycopg2Instrumentor, +invoking ``cursor.execute("select * from auth_users")`` will lead to sql query +``select * from auth_users`` but when SQLCommenter is enabled the query will get appended with +some configurable tags like: + +.. code:: + + select * from auth_users /*metrics=value*/;" + +Inorder for the commenter to append flask related tags to sql queries, the commenter needs +to enabled on the respective SQLAlchemyInstrumentor or Psycopg2Instrumentor framework too. + +SQLCommenter Configurations +*************************** +We can configure the tags to be appended to the sqlquery log by adding configuration +inside ``commenter_options={}`` dict. + +For example, enabling this flag will add flask and it's version which +is ``/*flask%%3A2.9.3*/`` to the SQL query as a comment (default is True): + +.. code:: python + + framework = True + +For example, enabling this flag will add route uri ``/*route='/home'*/`` +to the SQL query as a comment (default is True): + +.. code:: python + + route = True + +For example, enabling this flag will add controller name ``/*controller='home_view'*/`` +to the SQL query as a comment (default is True): + +.. code:: python + + controller = True + API --- """ @@ -273,12 +270,14 @@ def response_hook(span: Span, status: str, response_headers: List): ) from opentelemetry.instrumentation.utils import _start_internal_or_server_span from opentelemetry.metrics import get_meter -from opentelemetry.semconv.attributes.http_attributes import HTTP_ROUTE +from opentelemetry.semconv._incubating.attributes.http_attributes import ( + HTTP_ROUTE, + HTTP_TARGET, +) from opentelemetry.semconv.metrics import MetricInstruments from opentelemetry.semconv.metrics.http_metrics import ( HTTP_SERVER_REQUEST_DURATION, ) -from opentelemetry.semconv.trace import SpanAttributes from opentelemetry.util._importlib_metadata import version from opentelemetry.util.http import ( get_excluded_urls, @@ -404,9 +403,7 @@ def _start_response(status, response_headers, *args, **kwargs): if request_route: # http.target to be included in old semantic conventions - duration_attrs_old[SpanAttributes.HTTP_TARGET] = str( - request_route - ) + duration_attrs_old[HTTP_TARGET] = str(request_route) duration_histogram_old.record( max(round(duration_s * 1000), 0), duration_attrs_old @@ -449,7 +446,7 @@ def _before_request(): if flask.request.url_rule: # For 404 that result from no route found, etc, we # don't have a url_rule. - attributes[SpanAttributes.HTTP_ROUTE] = flask.request.url_rule.rule + attributes[HTTP_ROUTE] = flask.request.url_rule.rule span, token = _start_internal_or_server_span( tracer=tracer, span_name=span_name, diff --git a/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/version.py b/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/version.py +++ b/instrumentation/opentelemetry-instrumentation-flask/src/opentelemetry/instrumentation/flask/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-flask/tests/test_programmatic.py b/instrumentation/opentelemetry-instrumentation-flask/tests/test_programmatic.py index afcf750e0e..60f08c7cd2 100644 --- a/instrumentation/opentelemetry-instrumentation-flask/tests/test_programmatic.py +++ b/instrumentation/opentelemetry-instrumentation-flask/tests/test_programmatic.py @@ -40,8 +40,34 @@ NumberDataPoint, ) from opentelemetry.sdk.resources import Resource +from opentelemetry.semconv._incubating.attributes.http_attributes import ( + HTTP_FLAVOR, + HTTP_HOST, + HTTP_METHOD, + HTTP_REQUEST_METHOD, + HTTP_RESPONSE_STATUS_CODE, + HTTP_ROUTE, + HTTP_SCHEME, + HTTP_SERVER_NAME, + HTTP_STATUS_CODE, + HTTP_TARGET, +) +from opentelemetry.semconv._incubating.attributes.net_attributes import ( + NET_HOST_NAME, + NET_HOST_PORT, +) +from opentelemetry.semconv._incubating.attributes.network_attributes import ( + NETWORK_PROTOCOL_VERSION, +) +from opentelemetry.semconv._incubating.attributes.server_attributes import ( + SERVER_ADDRESS, + SERVER_PORT, +) +from opentelemetry.semconv._incubating.attributes.url_attributes import ( + URL_PATH, + URL_SCHEME, +) from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE -from opentelemetry.semconv.trace import SpanAttributes from opentelemetry.test.wsgitestutil import WsgiTestBase from opentelemetry.util.http import ( OTEL_INSTRUMENTATION_HTTP_CAPTURE_HEADERS_SANITIZE_FIELDS, @@ -57,15 +83,15 @@ def expected_attributes(override_attributes): default_attributes = { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_SERVER_NAME: "localhost", - SpanAttributes.HTTP_SCHEME: "http", - SpanAttributes.NET_HOST_PORT: 80, - SpanAttributes.NET_HOST_NAME: "localhost", - SpanAttributes.HTTP_HOST: "localhost", - SpanAttributes.HTTP_TARGET: "/", - SpanAttributes.HTTP_FLAVOR: "1.1", - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_SERVER_NAME: "localhost", + HTTP_SCHEME: "http", + NET_HOST_PORT: 80, + NET_HOST_NAME: "localhost", + HTTP_HOST: "localhost", + HTTP_TARGET: "/", + HTTP_FLAVOR: "1.1", + HTTP_STATUS_CODE: 200, } for key, val in override_attributes.items(): default_attributes[key] = val @@ -74,12 +100,12 @@ def expected_attributes(override_attributes): def expected_attributes_new(override_attributes): default_attributes = { - SpanAttributes.HTTP_REQUEST_METHOD: "GET", - SpanAttributes.SERVER_PORT: 80, - SpanAttributes.SERVER_ADDRESS: "localhost", - SpanAttributes.URL_PATH: "/hello/123", - SpanAttributes.NETWORK_PROTOCOL_VERSION: "1.1", - SpanAttributes.HTTP_RESPONSE_STATUS_CODE: 200, + HTTP_REQUEST_METHOD: "GET", + SERVER_PORT: 80, + SERVER_ADDRESS: "localhost", + URL_PATH: "/hello/123", + NETWORK_PROTOCOL_VERSION: "1.1", + HTTP_RESPONSE_STATUS_CODE: 200, } for key, val in override_attributes.items(): default_attributes[key] = val @@ -220,8 +246,8 @@ def assert_environ(): def test_simple(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_TARGET: "/hello/123", - SpanAttributes.HTTP_ROUTE: "/hello/", + HTTP_TARGET: "/hello/123", + HTTP_ROUTE: "/hello/", } ) self.client.get("/hello/123") @@ -235,8 +261,8 @@ def test_simple(self): def test_simple_new_semconv(self): expected_attrs = expected_attributes_new( { - SpanAttributes.HTTP_ROUTE: "/hello/", - SpanAttributes.URL_SCHEME: "http", + HTTP_ROUTE: "/hello/", + URL_SCHEME: "http", } ) self.client.get("/hello/123") @@ -250,15 +276,15 @@ def test_simple_new_semconv(self): def test_simple_both_semconv(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_TARGET: "/hello/123", - SpanAttributes.HTTP_ROUTE: "/hello/", + HTTP_TARGET: "/hello/123", + HTTP_ROUTE: "/hello/", } ) expected_attrs.update( expected_attributes_new( { - SpanAttributes.HTTP_ROUTE: "/hello/", - SpanAttributes.URL_SCHEME: "http", + HTTP_ROUTE: "/hello/", + URL_SCHEME: "http", } ) ) @@ -301,9 +327,9 @@ def test_not_recording(self): def test_404(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_METHOD: "POST", - SpanAttributes.HTTP_TARGET: "/bye", - SpanAttributes.HTTP_STATUS_CODE: 404, + HTTP_METHOD: "POST", + HTTP_TARGET: "/bye", + HTTP_STATUS_CODE: 404, } ) @@ -319,10 +345,10 @@ def test_404(self): def test_404_new_semconv(self): expected_attrs = expected_attributes_new( { - SpanAttributes.HTTP_REQUEST_METHOD: "POST", - SpanAttributes.HTTP_RESPONSE_STATUS_CODE: 404, - SpanAttributes.URL_PATH: "/bye", - SpanAttributes.URL_SCHEME: "http", + HTTP_REQUEST_METHOD: "POST", + HTTP_RESPONSE_STATUS_CODE: 404, + URL_PATH: "/bye", + URL_SCHEME: "http", } ) @@ -338,18 +364,18 @@ def test_404_new_semconv(self): def test_404_both_semconv(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_METHOD: "POST", - SpanAttributes.HTTP_TARGET: "/bye", - SpanAttributes.HTTP_STATUS_CODE: 404, + HTTP_METHOD: "POST", + HTTP_TARGET: "/bye", + HTTP_STATUS_CODE: 404, } ) expected_attrs.update( expected_attributes_new( { - SpanAttributes.HTTP_REQUEST_METHOD: "POST", - SpanAttributes.HTTP_RESPONSE_STATUS_CODE: 404, - SpanAttributes.URL_PATH: "/bye", - SpanAttributes.URL_SCHEME: "http", + HTTP_REQUEST_METHOD: "POST", + HTTP_RESPONSE_STATUS_CODE: 404, + URL_PATH: "/bye", + URL_SCHEME: "http", } ) ) @@ -366,9 +392,9 @@ def test_404_both_semconv(self): def test_internal_error(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_TARGET: "/hello/500", - SpanAttributes.HTTP_ROUTE: "/hello/", - SpanAttributes.HTTP_STATUS_CODE: 500, + HTTP_TARGET: "/hello/500", + HTTP_ROUTE: "/hello/", + HTTP_STATUS_CODE: 500, } ) resp = self.client.get("/hello/500") @@ -383,11 +409,11 @@ def test_internal_error(self): def test_internal_error_new_semconv(self): expected_attrs = expected_attributes_new( { - SpanAttributes.URL_PATH: "/hello/500", - SpanAttributes.HTTP_ROUTE: "/hello/", - SpanAttributes.HTTP_RESPONSE_STATUS_CODE: 500, + URL_PATH: "/hello/500", + HTTP_ROUTE: "/hello/", + HTTP_RESPONSE_STATUS_CODE: 500, ERROR_TYPE: "500", - SpanAttributes.URL_SCHEME: "http", + URL_SCHEME: "http", } ) resp = self.client.get("/hello/500") @@ -402,18 +428,18 @@ def test_internal_error_new_semconv(self): def test_internal_error_both_semconv(self): expected_attrs = expected_attributes( { - SpanAttributes.HTTP_TARGET: "/hello/500", - SpanAttributes.HTTP_ROUTE: "/hello/", - SpanAttributes.HTTP_STATUS_CODE: 500, + HTTP_TARGET: "/hello/500", + HTTP_ROUTE: "/hello/", + HTTP_STATUS_CODE: 500, } ) expected_attrs.update( expected_attributes_new( { - SpanAttributes.URL_PATH: "/hello/500", - SpanAttributes.HTTP_RESPONSE_STATUS_CODE: 500, + URL_PATH: "/hello/500", + HTTP_RESPONSE_STATUS_CODE: 500, ERROR_TYPE: "500", - SpanAttributes.URL_SCHEME: "http", + URL_SCHEME: "http", } ) ) diff --git a/instrumentation/opentelemetry-instrumentation-grpc/pyproject.toml b/instrumentation/opentelemetry-instrumentation-grpc/pyproject.toml index 95a5d1d3da..d1cdbf5375 100644 --- a/instrumentation/opentelemetry-instrumentation-grpc/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-grpc/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-grpc/src/opentelemetry/instrumentation/grpc/version.py b/instrumentation/opentelemetry-instrumentation-grpc/src/opentelemetry/instrumentation/grpc/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-grpc/src/opentelemetry/instrumentation/grpc/version.py +++ b/instrumentation/opentelemetry-instrumentation-grpc/src/opentelemetry/instrumentation/grpc/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-httpx/pyproject.toml b/instrumentation/opentelemetry-instrumentation-httpx/pyproject.toml index 47234b04d1..3c420acf83 100644 --- a/instrumentation/opentelemetry-instrumentation-httpx/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-httpx/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/__init__.py b/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/__init__.py index d3d73a1e08..c93f9b71c5 100644 --- a/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/__init__.py @@ -417,7 +417,6 @@ def _apply_request_client_attributes_to_span( def _apply_response_client_attributes_to_span( span: Span, - metric_attributes: dict[str, typing.Any], status_code: int, http_version: str, semconv: _StabilityMode, @@ -433,6 +432,30 @@ def _apply_response_client_attributes_to_span( http_status_code = http_status_to_status_code(status_code) span.set_status(http_status_code) + if http_status_code == StatusCode.ERROR and _report_new(semconv): + # http semconv transition: new error.type + span_attributes[ERROR_TYPE] = str(status_code) + + if http_version and _report_new(semconv): + # http semconv transition: http.flavor -> network.protocol.version + _set_http_network_protocol_version( + span_attributes, + http_version.replace("HTTP/", ""), + semconv, + ) + + for key, val in span_attributes.items(): + span.set_attribute(key, val) + + +def _apply_response_client_attributes_to_metrics( + span: Span | None, + metric_attributes: dict[str, typing.Any], + status_code: int, + http_version: str, + semconv: _StabilityMode, +) -> None: + """Apply response attributes to metric attributes.""" # Set HTTP status code in metric attributes _set_status( span, @@ -443,26 +466,12 @@ def _apply_response_client_attributes_to_span( sem_conv_opt_in_mode=semconv, ) - if http_status_code == StatusCode.ERROR and _report_new(semconv): - # http semconv transition: new error.type - span_attributes[ERROR_TYPE] = str(status_code) - if http_version and _report_new(semconv): - # http semconv transition: http.flavor -> network.protocol.version _set_http_network_protocol_version( metric_attributes, http_version.replace("HTTP/", ""), semconv, ) - if _report_new(semconv): - _set_http_network_protocol_version( - span_attributes, - http_version.replace("HTTP/", ""), - semconv, - ) - - for key, val in span_attributes.items(): - span.set_attribute(key, val) class SyncOpenTelemetryTransport(httpx.BaseTransport): @@ -592,11 +601,19 @@ def handle_request( _extract_response(response) ) + # Always apply response attributes to metrics + _apply_response_client_attributes_to_metrics( + span, + metric_attributes, + status_code, + http_version, + self._sem_conv_opt_in_mode, + ) + if span.is_recording(): # apply http client response attributes according to semconv _apply_response_client_attributes_to_span( span, - metric_attributes, status_code, http_version, self._sem_conv_opt_in_mode, @@ -777,11 +794,19 @@ async def handle_async_request( _extract_response(response) ) + # Always apply response attributes to metrics + _apply_response_client_attributes_to_metrics( + span, + metric_attributes, + status_code, + http_version, + self._sem_conv_opt_in_mode, + ) + if span.is_recording(): # apply http client response attributes according to semconv _apply_response_client_attributes_to_span( span, - metric_attributes, status_code, http_version, self._sem_conv_opt_in_mode, @@ -1001,11 +1026,19 @@ def _handle_request_wrapper( # pylint: disable=too-many-locals _extract_response(response) ) + # Always apply response attributes to metrics + _apply_response_client_attributes_to_metrics( + span, + metric_attributes, + status_code, + http_version, + sem_conv_opt_in_mode, + ) + if span.is_recording(): # apply http client response attributes according to semconv _apply_response_client_attributes_to_span( span, - metric_attributes, status_code, http_version, sem_conv_opt_in_mode, @@ -1109,11 +1142,19 @@ async def _handle_async_request_wrapper( # pylint: disable=too-many-locals _extract_response(response) ) + # Always apply response attributes to metrics + _apply_response_client_attributes_to_metrics( + span, + metric_attributes, + status_code, + http_version, + sem_conv_opt_in_mode, + ) + if span.is_recording(): # apply http client response attributes according to semconv _apply_response_client_attributes_to_span( span, - metric_attributes, status_code, http_version, sem_conv_opt_in_mode, diff --git a/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/version.py b/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/version.py +++ b/instrumentation/opentelemetry-instrumentation-httpx/src/opentelemetry/instrumentation/httpx/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-httpx/tests/test_httpx_integration.py b/instrumentation/opentelemetry-instrumentation-httpx/tests/test_httpx_integration.py index 28185b9336..2812aa7a2f 100644 --- a/instrumentation/opentelemetry-instrumentation-httpx/tests/test_httpx_integration.py +++ b/instrumentation/opentelemetry-instrumentation-httpx/tests/test_httpx_integration.py @@ -39,6 +39,18 @@ from opentelemetry.instrumentation.utils import suppress_http_instrumentation from opentelemetry.propagate import get_global_textmap, set_global_textmap from opentelemetry.sdk import resources +from opentelemetry.semconv._incubating.attributes.http_attributes import ( + HTTP_FLAVOR, + HTTP_HOST, + HTTP_METHOD, + HTTP_SCHEME, + HTTP_STATUS_CODE, + HTTP_URL, +) +from opentelemetry.semconv._incubating.attributes.net_attributes import ( + NET_PEER_NAME, + NET_PEER_PORT, +) from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE from opentelemetry.semconv.attributes.http_attributes import ( HTTP_REQUEST_METHOD, @@ -55,7 +67,7 @@ SERVER_PORT, ) from opentelemetry.semconv.attributes.url_attributes import URL_FULL -from opentelemetry.semconv.trace import SpanAttributes +from opentelemetry.semconv.schemas import Schemas from opentelemetry.test.mock_textmap import MockTextMapPropagator from opentelemetry.test.test_base import TestBase from opentelemetry.trace import StatusCode @@ -76,6 +88,7 @@ HTTP_RESPONSE_BODY = "http.response.body" +SCHEMA_URL = Schemas.V1_21_0.value def _is_url_tuple(request: "RequestInfo"): @@ -216,9 +229,9 @@ def test_basic(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 200, }, ) @@ -237,9 +250,9 @@ def test_basic_metrics(self): self.assertEqual( dict(duration_data_point.attributes), { - SpanAttributes.HTTP_STATUS_CODE: 200, - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_SCHEME: "http", + HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_SCHEME: "http", }, ) self.assertEqual(duration_data_point.count, 1) @@ -263,9 +276,9 @@ def test_nonstandard_http_method(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "_OTHER", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 405, + HTTP_METHOD: "_OTHER", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 405, }, ) @@ -282,9 +295,9 @@ def test_nonstandard_http_method(self): self.assertEqual( dict(duration_data_point.attributes), { - SpanAttributes.HTTP_STATUS_CODE: 405, - SpanAttributes.HTTP_METHOD: "_OTHER", - SpanAttributes.HTTP_SCHEME: "http", + HTTP_STATUS_CODE: 405, + HTTP_METHOD: "_OTHER", + HTTP_SCHEME: "http", }, ) @@ -354,7 +367,7 @@ def test_basic_new_semconv(self): self.assertEqual( span.instrumentation_scope.schema_url, - SpanAttributes.SCHEMA_URL, + SCHEMA_URL, ) self.assertEqual( dict(span.attributes), @@ -404,23 +417,23 @@ def test_basic_both_semconv(self): self.assertEqual( span.instrumentation_scope.schema_url, - SpanAttributes.SCHEMA_URL, + SCHEMA_URL, ) self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", + HTTP_METHOD: "GET", HTTP_REQUEST_METHOD: "GET", - SpanAttributes.HTTP_URL: url, + HTTP_URL: url, URL_FULL: url, - SpanAttributes.HTTP_HOST: "mock", + HTTP_HOST: "mock", SERVER_ADDRESS: "mock", NETWORK_PEER_ADDRESS: "mock", - SpanAttributes.NET_PEER_PORT: 8080, - SpanAttributes.HTTP_STATUS_CODE: 200, + NET_PEER_PORT: 8080, + HTTP_STATUS_CODE: 200, HTTP_RESPONSE_STATUS_CODE: 200, - SpanAttributes.HTTP_FLAVOR: "1.1", + HTTP_FLAVOR: "1.1", NETWORK_PROTOCOL_VERSION: "1.1", SERVER_PORT: 8080, NETWORK_PEER_PORT: 8080, @@ -440,13 +453,13 @@ def test_basic_both_semconv(self): self.assertEqual( dict(metrics[0].data.data_points[0].attributes), { - SpanAttributes.HTTP_FLAVOR: "1.1", - SpanAttributes.HTTP_HOST: "mock", - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_SCHEME: "http", - SpanAttributes.NET_PEER_NAME: "mock", - SpanAttributes.NET_PEER_PORT: 8080, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_FLAVOR: "1.1", + HTTP_HOST: "mock", + HTTP_METHOD: "GET", + HTTP_SCHEME: "http", + NET_PEER_NAME: "mock", + NET_PEER_PORT: 8080, + HTTP_STATUS_CODE: 200, }, ) self.assertEqual(metrics[0].name, "http.client.duration") @@ -477,9 +490,7 @@ def test_not_foundbasic(self): self.assertEqual(result.status_code, 404) span = self.assert_span() - self.assertEqual( - span.attributes.get(SpanAttributes.HTTP_STATUS_CODE), 404 - ) + self.assertEqual(span.attributes.get(HTTP_STATUS_CODE), 404) self.assertIs( span.status.status_code, trace.StatusCode.ERROR, @@ -489,9 +500,7 @@ def test_not_foundbasic(self): self.assertEqual(len(metrics), 1) duration_data_point = metrics[0].data.data_points[0] self.assertEqual( - duration_data_point.attributes.get( - SpanAttributes.HTTP_STATUS_CODE - ), + duration_data_point.attributes.get(HTTP_STATUS_CODE), 404, ) @@ -535,9 +544,7 @@ def test_not_foundbasic_both_semconv(self): self.assertEqual(result.status_code, 404) span = self.assert_span() - self.assertEqual( - span.attributes.get(SpanAttributes.HTTP_STATUS_CODE), 404 - ) + self.assertEqual(span.attributes.get(HTTP_STATUS_CODE), 404) self.assertEqual( span.attributes.get(HTTP_RESPONSE_STATUS_CODE), 404 ) @@ -554,7 +561,7 @@ def test_not_foundbasic_both_semconv(self): self.assertEqual( metrics[0] .data.data_points[0] - .attributes.get(SpanAttributes.HTTP_STATUS_CODE), + .attributes.get(HTTP_STATUS_CODE), 404, ) self.assertEqual( @@ -612,9 +619,9 @@ def test_requests_500_error(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 500, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 500, }, ) self.assertEqual(span.status.status_code, StatusCode.ERROR) @@ -689,14 +696,14 @@ def test_requests_timeout_exception_both_semconv(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", + HTTP_METHOD: "GET", HTTP_REQUEST_METHOD: "GET", - SpanAttributes.HTTP_URL: url, + HTTP_URL: url, URL_FULL: url, - SpanAttributes.HTTP_HOST: "mock", + HTTP_HOST: "mock", SERVER_ADDRESS: "mock", NETWORK_PEER_ADDRESS: "mock", - SpanAttributes.NET_PEER_PORT: 8080, + NET_PEER_PORT: 8080, SERVER_PORT: 8080, NETWORK_PEER_PORT: 8080, ERROR_TYPE: "TimeoutException", @@ -722,10 +729,8 @@ def test_invalid_url(self): span = self.assert_span() self.assertEqual(span.name, "POST") - self.assertEqual( - span.attributes[SpanAttributes.HTTP_METHOD], "POST" - ) - self.assertEqual(span.attributes[SpanAttributes.HTTP_URL], url) + self.assertEqual(span.attributes[HTTP_METHOD], "POST") + self.assertEqual(span.attributes[HTTP_URL], url) self.assertEqual(span.status.status_code, StatusCode.ERROR) def test_if_headers_equals_none(self): @@ -790,6 +795,85 @@ def test_custom_meter_provider(self): ) self.assertEqual(data_point.count, 1) + def _run_disabled_tracing_metrics_attributes_test( + self, + url: str, + expected_attributes: dict, + expected_number_of_metrics: int = 1, + ) -> None: + with mock.patch("opentelemetry.trace.INVALID_SPAN") as mock_span: + client = self.create_client( + self.create_transport( + tracer_provider=trace.NoOpTracerProvider() + ) + ) + mock_span.is_recording.return_value = False + self.perform_request(url, client=client) + + self.assertFalse(mock_span.is_recording()) + self.assertTrue(mock_span.is_recording.called) + + metrics = self.assert_metrics( + num_metrics=expected_number_of_metrics + ) + duration_data_point = metrics[0].data.data_points[0] + + self.assertEqual(duration_data_point.count, 1) + self.assertEqual( + dict(duration_data_point.attributes), + expected_attributes, + ) + + def test_metrics_have_response_attributes_with_disabled_tracing( + self, + ) -> None: + """Test that metrics have response attributes when tracing is disabled for old + semantic conventions.""" + self._run_disabled_tracing_metrics_attributes_test( + url="http://mock:8080/status/200", + expected_attributes={ + HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_SCHEME: "http", + }, + expected_number_of_metrics=1, + ) + + def test_metrics_have_response_attributes_with_disabled_tracing_both_semconv( + self, + ) -> None: + """Test that metrics have response attributes when tracing is disabled for both + semantic conventions.""" + self._run_disabled_tracing_metrics_attributes_test( + url="http://mock:8080/status/200", + expected_attributes={ + HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_SCHEME: "http", + HTTP_FLAVOR: "1.1", + HTTP_HOST: "mock", + NET_PEER_NAME: "mock", + NET_PEER_PORT: 8080, + }, + expected_number_of_metrics=2, + ) + + def test_metrics_have_response_attributes_with_disabled_tracing_new_semconv( + self, + ) -> None: + """Test that metrics have response attributes when tracing is disabled with new semantic conventions.""" + self._run_disabled_tracing_metrics_attributes_test( + url="http://mock:8080/status/200", + expected_attributes={ + SERVER_ADDRESS: "mock", + HTTP_REQUEST_METHOD: "GET", + HTTP_RESPONSE_STATUS_CODE: 200, + NETWORK_PROTOCOL_VERSION: "1.1", + SERVER_PORT: 8080, + }, + expected_number_of_metrics=1, + ) + def test_response_hook(self): transport = self.create_transport( tracer_provider=self.tracer_provider, @@ -803,9 +887,9 @@ def test_response_hook(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 200, HTTP_RESPONSE_BODY: "Hello!", }, ) @@ -885,12 +969,8 @@ def test_client_mounts_with_instrumented_transport(self): self.perform_request(self.URL, client=client1) self.perform_request(https_url, client=client2) spans = self.assert_span(num_spans=2) - self.assertEqual( - spans[0].attributes[SpanAttributes.HTTP_URL], self.URL - ) - self.assertEqual( - spans[1].attributes[SpanAttributes.HTTP_URL], https_url - ) + self.assertEqual(spans[0].attributes[HTTP_URL], self.URL) + self.assertEqual(spans[1].attributes[HTTP_URL], https_url) @mock.patch.dict("os.environ", {"NO_PROXY": ""}, clear=True) class BaseInstrumentorTest(BaseTest, metaclass=abc.ABCMeta): @@ -982,9 +1062,9 @@ def test_response_hook(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 200, HTTP_RESPONSE_BODY: "Hello!", }, ) @@ -1003,9 +1083,9 @@ def test_response_hook_sync_async_kwargs(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 200, HTTP_RESPONSE_BODY: "Hello!", }, ) @@ -1108,7 +1188,7 @@ def test_instrumentation_without_client(self): with self.subTest(idx=idx, res=res): self.assertEqual(res.text, "Hello!") self.assertEqual( - spans[idx].attributes[SpanAttributes.HTTP_URL], + spans[idx].attributes[HTTP_URL], self.URL, ) @@ -1306,12 +1386,12 @@ def test_remove_sensitive_params(self): self.perform_request(new_url) span = self.assert_span() - actual_url = span.attributes[SpanAttributes.HTTP_URL] + actual_url = span.attributes[HTTP_URL] if "@" in actual_url: # If credentials are present, they must be redacted self.assertEqual( - span.attributes[SpanAttributes.HTTP_URL], + span.attributes[HTTP_URL], "http://REDACTED:REDACTED@mock/status/200?sig=REDACTED", ) else: @@ -1392,11 +1472,11 @@ def test_remove_sensitive_params(self): self.perform_request(new_url) span = self.assert_span() - actual_url = span.attributes[SpanAttributes.HTTP_URL] + actual_url = span.attributes[HTTP_URL] if "@" in actual_url: self.assertEqual( - span.attributes[SpanAttributes.HTTP_URL], + span.attributes[HTTP_URL], "http://REDACTED:REDACTED@mock/status/200?Signature=REDACTED", ) else: @@ -1509,9 +1589,9 @@ def test_async_response_hook_does_nothing_if_not_coroutine(self): self.assertEqual( dict(span.attributes), { - SpanAttributes.HTTP_METHOD: "GET", - SpanAttributes.HTTP_URL: self.URL, - SpanAttributes.HTTP_STATUS_CODE: 200, + HTTP_METHOD: "GET", + HTTP_URL: self.URL, + HTTP_STATUS_CODE: 200, }, ) diff --git a/instrumentation/opentelemetry-instrumentation-jinja2/pyproject.toml b/instrumentation/opentelemetry-instrumentation-jinja2/pyproject.toml index edf252e88f..7a5f39923a 100644 --- a/instrumentation/opentelemetry-instrumentation-jinja2/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-jinja2/pyproject.toml @@ -26,7 +26,7 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-jinja2/src/opentelemetry/instrumentation/jinja2/version.py b/instrumentation/opentelemetry-instrumentation-jinja2/src/opentelemetry/instrumentation/jinja2/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-jinja2/src/opentelemetry/instrumentation/jinja2/version.py +++ b/instrumentation/opentelemetry-instrumentation-jinja2/src/opentelemetry/instrumentation/jinja2/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-kafka-python/pyproject.toml b/instrumentation/opentelemetry-instrumentation-kafka-python/pyproject.toml index 11a41876b4..c22ffa2211 100644 --- a/instrumentation/opentelemetry-instrumentation-kafka-python/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-kafka-python/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.5", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-kafka-python/src/opentelemetry/instrumentation/kafka/version.py b/instrumentation/opentelemetry-instrumentation-kafka-python/src/opentelemetry/instrumentation/kafka/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-kafka-python/src/opentelemetry/instrumentation/kafka/version.py +++ b/instrumentation/opentelemetry-instrumentation-kafka-python/src/opentelemetry/instrumentation/kafka/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-logging/pyproject.toml b/instrumentation/opentelemetry-instrumentation-logging/pyproject.toml index 4d22d5b2e9..e97bf9c6c6 100644 --- a/instrumentation/opentelemetry-instrumentation-logging/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-logging/pyproject.toml @@ -26,7 +26,7 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-logging/src/opentelemetry/instrumentation/logging/version.py b/instrumentation/opentelemetry-instrumentation-logging/src/opentelemetry/instrumentation/logging/version.py index ada995bac7..7de8dd9eca 100644 --- a/instrumentation/opentelemetry-instrumentation-logging/src/opentelemetry/instrumentation/logging/version.py +++ b/instrumentation/opentelemetry-instrumentation-logging/src/opentelemetry/instrumentation/logging/version.py @@ -12,6 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" _instruments = tuple() diff --git a/instrumentation/opentelemetry-instrumentation-mysql/pyproject.toml b/instrumentation/opentelemetry-instrumentation-mysql/pyproject.toml index 058e76ef93..9bc8ea2da6 100644 --- a/instrumentation/opentelemetry-instrumentation-mysql/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-mysql/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/__init__.py b/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/__init__.py index e967a1a2ea..0d30036707 100644 --- a/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/__init__.py @@ -50,13 +50,13 @@ cursor.close() instrumented_cnx.close() +Configuration +------------- + SQLCOMMENTER ***************************************** You can optionally configure mysql-connector instrumentation to enable sqlcommenter which enriches the query with contextual information. -Usage ------ - .. code:: python import mysql.connector @@ -70,7 +70,6 @@ cursor.close() cnx.close() - For example, :: diff --git a/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/version.py b/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/version.py +++ b/instrumentation/opentelemetry-instrumentation-mysql/src/opentelemetry/instrumentation/mysql/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-mysqlclient/pyproject.toml b/instrumentation/opentelemetry-instrumentation-mysqlclient/pyproject.toml index 4e0e5cfb4e..97b243733a 100644 --- a/instrumentation/opentelemetry-instrumentation-mysqlclient/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-mysqlclient/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/__init__.py b/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/__init__.py index 9e7dade9c9..553d4574aa 100644 --- a/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/__init__.py @@ -36,6 +36,9 @@ cursor.close() cnx.close() +Configuration +------------- + SQLCOMMENTER ***************************************** You can optionally configure MySQLClient instrumentation to enable sqlcommenter which enriches diff --git a/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/version.py b/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/version.py +++ b/instrumentation/opentelemetry-instrumentation-mysqlclient/src/opentelemetry/instrumentation/mysqlclient/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pika/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pika/pyproject.toml index a8ad32cc8e..92d72c2a1b 100644 --- a/instrumentation/opentelemetry-instrumentation-pika/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pika/pyproject.toml @@ -25,7 +25,7 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "opentelemetry-api ~= 1.5", "packaging >= 20.0", "wrapt >= 1.0.0, < 2.0.0", diff --git a/instrumentation/opentelemetry-instrumentation-pika/src/opentelemetry/instrumentation/pika/version.py b/instrumentation/opentelemetry-instrumentation-pika/src/opentelemetry/instrumentation/pika/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pika/src/opentelemetry/instrumentation/pika/version.py +++ b/instrumentation/opentelemetry-instrumentation-pika/src/opentelemetry/instrumentation/pika/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-psycopg/pyproject.toml b/instrumentation/opentelemetry-instrumentation-psycopg/pyproject.toml index f9f5fcae39..9f48989857 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-psycopg/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/__init__.py b/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/__init__.py index ede035e079..d2c4880650 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/__init__.py @@ -18,14 +18,48 @@ .. _Psycopg: http://initd.org/psycopg/ +Usage +----- + +.. code-block:: python + + import psycopg + from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor + + # Call instrument() to wrap all database connections + PsycopgInstrumentor().instrument() + + cnx = psycopg.connect(database='Database') + + cursor = cnx.cursor() + cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") + cursor.execute("INSERT INTO test (testField) VALUES (123)") + cursor.close() + cnx.close() + +.. code-block:: python + + import psycopg + from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor + + # Alternatively, use instrument_connection for an individual connection + cnx = psycopg.connect(database='Database') + instrumented_cnx = PsycopgInstrumentor().instrument_connection(cnx) + cursor = instrumented_cnx.cursor() + cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") + cursor.execute("INSERT INTO test (testField) VALUES (123)") + cursor.close() + instrumented_cnx.close() + + +Configuration +------------- + SQLCOMMENTER ***************************************** You can optionally configure Psycopg instrumentation to enable sqlcommenter which enriches the query with contextual information. -Usage ------ - .. code:: python from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor @@ -93,45 +127,12 @@ enable_attribute_commenter=True, ) - For example, :: Invoking cursor.execute("select * from auth_users") will lead to postgresql query "select * from auth_users" but when SQLCommenter and attribute_commenter are enabled the query will get appended with some configurable tags like "select * from auth_users /*tag=value*/;" for both server query and `db.statement` span attribute. -Usage ------ - -.. code-block:: python - - import psycopg - from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor - - # Call instrument() to wrap all database connections - PsycopgInstrumentor().instrument() - - cnx = psycopg.connect(database='Database') - - cursor = cnx.cursor() - cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") - cursor.execute("INSERT INTO test (testField) VALUES (123)") - cursor.close() - cnx.close() - -.. code-block:: python - - import psycopg - from opentelemetry.instrumentation.psycopg import PsycopgInstrumentor - - # Alternatively, use instrument_connection for an individual connection - cnx = psycopg.connect(database='Database') - instrumented_cnx = PsycopgInstrumentor().instrument_connection(cnx) - cursor = instrumented_cnx.cursor() - cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") - cursor.execute("INSERT INTO test (testField) VALUES (123)") - cursor.close() - instrumented_cnx.close() API --- diff --git a/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/version.py b/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/version.py +++ b/instrumentation/opentelemetry-instrumentation-psycopg/src/opentelemetry/instrumentation/psycopg/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-psycopg2/pyproject.toml b/instrumentation/opentelemetry-instrumentation-psycopg2/pyproject.toml index a67c50f042..b1276c0baf 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg2/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-psycopg2/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py b/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py index d90f894ef2..153d491036 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/__init__.py @@ -18,13 +18,47 @@ .. _Psycopg: http://initd.org/psycopg/ +Usage +----- + +.. code-block:: python + + import psycopg2 + from opentelemetry.instrumentation.psycopg2 import Psycopg2Instrumentor + + # Call instrument() to wrap all database connections + Psycopg2Instrumentor().instrument() + + cnx = psycopg2.connect(database='Database') + + cursor = cnx.cursor() + cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") + cursor.execute("INSERT INTO test (testField) VALUES (123)") + cursor.close() + cnx.close() + +.. code-block:: python + + import psycopg2 + from opentelemetry.instrumentation.psycopg2 import Psycopg2Instrumentor + + # Alternatively, use instrument_connection for an individual connection + cnx = psycopg2.connect(database='Database') + instrumented_cnx = Psycopg2Instrumentor().instrument_connection(cnx) + cursor = instrumented_cnx.cursor() + cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") + cursor.execute("INSERT INTO test (testField) VALUES (123)") + cursor.close() + instrumented_cnx.close() + +Configuration +------------- + SQLCOMMENTER ***************************************** You can optionally configure Psycopg2 instrumentation to enable sqlcommenter which enriches the query with contextual information. -Usage ------ .. code:: python @@ -100,39 +134,6 @@ Invoking cursor.execute("select * from auth_users") will lead to postgresql query "select * from auth_users" but when SQLCommenter and attribute_commenter are enabled the query will get appended with some configurable tags like "select * from auth_users /*tag=value*/;" for both server query and `db.statement` span attribute. -Usage ------ - -.. code-block:: python - - import psycopg2 - from opentelemetry.instrumentation.psycopg2 import Psycopg2Instrumentor - - # Call instrument() to wrap all database connections - Psycopg2Instrumentor().instrument() - - cnx = psycopg2.connect(database='Database') - - cursor = cnx.cursor() - cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") - cursor.execute("INSERT INTO test (testField) VALUES (123)") - cursor.close() - cnx.close() - -.. code-block:: python - - import psycopg2 - from opentelemetry.instrumentation.psycopg2 import Psycopg2Instrumentor - - # Alternatively, use instrument_connection for an individual connection - cnx = psycopg2.connect(database='Database') - instrumented_cnx = Psycopg2Instrumentor().instrument_connection(cnx) - cursor = instrumented_cnx.cursor() - cursor.execute("CREATE TABLE IF NOT EXISTS test (testField INTEGER)") - cursor.execute("INSERT INTO test (testField) VALUES (123)") - cursor.close() - instrumented_cnx.close() - API --- """ diff --git a/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/version.py b/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/version.py +++ b/instrumentation/opentelemetry-instrumentation-psycopg2/src/opentelemetry/instrumentation/psycopg2/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pymemcache/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pymemcache/pyproject.toml index b064674c05..ac3a4a5202 100644 --- a/instrumentation/opentelemetry-instrumentation-pymemcache/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pymemcache/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-pymemcache/src/opentelemetry/instrumentation/pymemcache/version.py b/instrumentation/opentelemetry-instrumentation-pymemcache/src/opentelemetry/instrumentation/pymemcache/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pymemcache/src/opentelemetry/instrumentation/pymemcache/version.py +++ b/instrumentation/opentelemetry-instrumentation-pymemcache/src/opentelemetry/instrumentation/pymemcache/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pymongo/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pymongo/pyproject.toml index 82aebea494..d7448bc9c7 100644 --- a/instrumentation/opentelemetry-instrumentation-pymongo/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pymongo/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-pymongo/src/opentelemetry/instrumentation/pymongo/version.py b/instrumentation/opentelemetry-instrumentation-pymongo/src/opentelemetry/instrumentation/pymongo/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pymongo/src/opentelemetry/instrumentation/pymongo/version.py +++ b/instrumentation/opentelemetry-instrumentation-pymongo/src/opentelemetry/instrumentation/pymongo/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pymssql/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pymssql/pyproject.toml index f75caba29d..5f2f2e708c 100644 --- a/instrumentation/opentelemetry-instrumentation-pymssql/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pymssql/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-pymssql/src/opentelemetry/instrumentation/pymssql/version.py b/instrumentation/opentelemetry-instrumentation-pymssql/src/opentelemetry/instrumentation/pymssql/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pymssql/src/opentelemetry/instrumentation/pymssql/version.py +++ b/instrumentation/opentelemetry-instrumentation-pymssql/src/opentelemetry/instrumentation/pymssql/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pymysql/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pymysql/pyproject.toml index 33b57c6073..f764965270 100644 --- a/instrumentation/opentelemetry-instrumentation-pymysql/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pymysql/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/__init__.py b/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/__init__.py index fca5b88762..2c8951385e 100644 --- a/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/__init__.py @@ -59,14 +59,14 @@ cursor.close() instrumented_cnx.close() +Configuration +------------- + SQLCOMMENTER ***************************************** You can optionally configure PyMySQL instrumentation to enable sqlcommenter which enriches the query with contextual information. -Usage ------ - .. code:: python import pymysql @@ -142,7 +142,6 @@ enable_attribute_commenter=True, ) - For example, :: diff --git a/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/version.py b/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/version.py +++ b/instrumentation/opentelemetry-instrumentation-pymysql/src/opentelemetry/instrumentation/pymysql/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-pyramid/pyproject.toml b/instrumentation/opentelemetry-instrumentation-pyramid/pyproject.toml index edcc3006b9..d7ec726edb 100644 --- a/instrumentation/opentelemetry-instrumentation-pyramid/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-pyramid/pyproject.toml @@ -26,10 +26,10 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-wsgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-wsgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-pyramid/src/opentelemetry/instrumentation/pyramid/version.py b/instrumentation/opentelemetry-instrumentation-pyramid/src/opentelemetry/instrumentation/pyramid/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-pyramid/src/opentelemetry/instrumentation/pyramid/version.py +++ b/instrumentation/opentelemetry-instrumentation-pyramid/src/opentelemetry/instrumentation/pyramid/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-redis/pyproject.toml b/instrumentation/opentelemetry-instrumentation-redis/pyproject.toml index e5561edd4b..08938602ac 100644 --- a/instrumentation/opentelemetry-instrumentation-redis/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-redis/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "wrapt >= 1.12.1", ] diff --git a/instrumentation/opentelemetry-instrumentation-redis/src/opentelemetry/instrumentation/redis/version.py b/instrumentation/opentelemetry-instrumentation-redis/src/opentelemetry/instrumentation/redis/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-redis/src/opentelemetry/instrumentation/redis/version.py +++ b/instrumentation/opentelemetry-instrumentation-redis/src/opentelemetry/instrumentation/redis/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-remoulade/pyproject.toml b/instrumentation/opentelemetry-instrumentation-remoulade/pyproject.toml index f8877b225c..c8cba0f8ba 100644 --- a/instrumentation/opentelemetry-instrumentation-remoulade/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-remoulade/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-remoulade/src/opentelemetry/instrumentation/remoulade/version.py b/instrumentation/opentelemetry-instrumentation-remoulade/src/opentelemetry/instrumentation/remoulade/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-remoulade/src/opentelemetry/instrumentation/remoulade/version.py +++ b/instrumentation/opentelemetry-instrumentation-remoulade/src/opentelemetry/instrumentation/remoulade/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-requests/pyproject.toml b/instrumentation/opentelemetry-instrumentation-requests/pyproject.toml index 4ea77ee127..6dbc7df2c6 100644 --- a/instrumentation/opentelemetry-instrumentation-requests/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-requests/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-requests/src/opentelemetry/instrumentation/requests/version.py b/instrumentation/opentelemetry-instrumentation-requests/src/opentelemetry/instrumentation/requests/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-requests/src/opentelemetry/instrumentation/requests/version.py +++ b/instrumentation/opentelemetry-instrumentation-requests/src/opentelemetry/instrumentation/requests/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-sqlalchemy/pyproject.toml b/instrumentation/opentelemetry-instrumentation-sqlalchemy/pyproject.toml index 3d2eefc5b9..80ac7eda78 100644 --- a/instrumentation/opentelemetry-instrumentation-sqlalchemy/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-sqlalchemy/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", "packaging >= 21.0", "wrapt >= 1.11.2", ] diff --git a/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/__init__.py b/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/__init__.py index a76dd927a6..772a65d83f 100644 --- a/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/__init__.py @@ -22,14 +22,42 @@ .. _sqlalchemy: https://pypi.org/project/sqlalchemy/ +Usage +----- +.. code:: python + + from sqlalchemy import create_engine + + from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor + import sqlalchemy + + engine = create_engine("sqlite:///:memory:") + SQLAlchemyInstrumentor().instrument( + engine=engine, + ) + +.. code:: python + + # of the async variant of SQLAlchemy + + from sqlalchemy.ext.asyncio import create_async_engine + + from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor + import sqlalchemy + + engine = create_async_engine("sqlite+aiosqlite:///:memory:") + SQLAlchemyInstrumentor().instrument( + engine=engine.sync_engine + ) + +Configuration +------------- + SQLCOMMENTER **************************************** You can optionally configure SQLAlchemy instrumentation to enable sqlcommenter which enriches the query with contextual information. -Usage ------ - .. code:: python from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor @@ -88,35 +116,6 @@ Warning: capture of sqlcomment in ``db.statement`` may have high cardinality without platform normalization. See `Semantic Conventions for database spans `_ for more information. - -Usage ------ -.. code:: python - - from sqlalchemy import create_engine - - from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor - import sqlalchemy - - engine = create_engine("sqlite:///:memory:") - SQLAlchemyInstrumentor().instrument( - engine=engine, - ) - -.. code:: python - - # of the async variant of SQLAlchemy - - from sqlalchemy.ext.asyncio import create_async_engine - - from opentelemetry.instrumentation.sqlalchemy import SQLAlchemyInstrumentor - import sqlalchemy - - engine = create_async_engine("sqlite+aiosqlite:///:memory:") - SQLAlchemyInstrumentor().instrument( - engine=engine.sync_engine - ) - API --- """ diff --git a/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/version.py b/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/version.py +++ b/instrumentation/opentelemetry-instrumentation-sqlalchemy/src/opentelemetry/instrumentation/sqlalchemy/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-sqlite3/pyproject.toml b/instrumentation/opentelemetry-instrumentation-sqlite3/pyproject.toml index 6d6ec70685..a58909b418 100644 --- a/instrumentation/opentelemetry-instrumentation-sqlite3/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-sqlite3/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-dbapi == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-dbapi == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-sqlite3/src/opentelemetry/instrumentation/sqlite3/version.py b/instrumentation/opentelemetry-instrumentation-sqlite3/src/opentelemetry/instrumentation/sqlite3/version.py index ada995bac7..7de8dd9eca 100644 --- a/instrumentation/opentelemetry-instrumentation-sqlite3/src/opentelemetry/instrumentation/sqlite3/version.py +++ b/instrumentation/opentelemetry-instrumentation-sqlite3/src/opentelemetry/instrumentation/sqlite3/version.py @@ -12,6 +12,6 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" _instruments = tuple() diff --git a/instrumentation/opentelemetry-instrumentation-starlette/pyproject.toml b/instrumentation/opentelemetry-instrumentation-starlette/pyproject.toml index e3d07348f6..3ac7e86986 100644 --- a/instrumentation/opentelemetry-instrumentation-starlette/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-starlette/pyproject.toml @@ -26,10 +26,10 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-instrumentation-asgi == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-instrumentation-asgi == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/__init__.py b/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/__init__.py index 3a88582ecf..93f2424323 100644 --- a/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/__init__.py @@ -354,7 +354,11 @@ def _get_route_details(scope: dict[str, Any]) -> str | None: for starlette_route in app.routes: match, _ = starlette_route.matches(scope) if match == Match.FULL: - route = starlette_route.path + try: + route = starlette_route.path + except AttributeError: + # routes added via host routing won't have a path attribute + route = scope.get("path") break if match == Match.PARTIAL: route = starlette_route.path diff --git a/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/version.py b/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/version.py +++ b/instrumentation/opentelemetry-instrumentation-starlette/src/opentelemetry/instrumentation/starlette/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-starlette/tests/test_starlette_instrumentation.py b/instrumentation/opentelemetry-instrumentation-starlette/tests/test_starlette_instrumentation.py index 17f79073a6..8c326e83ba 100644 --- a/instrumentation/opentelemetry-instrumentation-starlette/tests/test_starlette_instrumentation.py +++ b/instrumentation/opentelemetry-instrumentation-starlette/tests/test_starlette_instrumentation.py @@ -18,7 +18,7 @@ from starlette import applications from starlette.responses import PlainTextResponse -from starlette.routing import Mount, Route +from starlette.routing import Host, Mount, Route from starlette.testclient import TestClient from starlette.websockets import WebSocket @@ -140,6 +140,24 @@ def test_sub_app_starlette_call(self): span.attributes[HTTP_URL], ) + def test_host_starlette_call(self): + client = TestClient(self._app, base_url="http://testserver2") + client.get("/home") + spans = self.memory_exporter.get_finished_spans() + + spans_with_http_attributes = [ + span + for span in spans + if (HTTP_URL in span.attributes or HTTP_TARGET in span.attributes) + ] + + for span in spans_with_http_attributes: + self.assertEqual("/home", span.attributes[HTTP_TARGET]) + self.assertEqual( + "http://testserver2/home", + span.attributes[HTTP_URL], + ) + def test_starlette_route_attribute_added(self): """Ensure that starlette routes are used as the span name.""" self._client.get("/user/123") @@ -294,6 +312,7 @@ def sub_home(_): Route("/user/{username}", home), Route("/healthzz", health), Mount("/sub", app=sub_app), + Host("testserver2", sub_app), ], ) diff --git a/instrumentation/opentelemetry-instrumentation-system-metrics/pyproject.toml b/instrumentation/opentelemetry-instrumentation-system-metrics/pyproject.toml index 2eb831bf07..19529fd43d 100644 --- a/instrumentation/opentelemetry-instrumentation-system-metrics/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-system-metrics/pyproject.toml @@ -25,7 +25,7 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "opentelemetry-api ~= 1.11", "psutil >= 5.9.0, < 8", ] diff --git a/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/__init__.py b/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/__init__.py index 77fcb4e443..b77ff12f64 100644 --- a/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/__init__.py @@ -11,6 +11,8 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. +# pylint: disable=too-many-lines + """ Instrument to report system (CPU, memory, network) and process (CPU, memory, garbage collection) metrics. By default, the @@ -45,6 +47,8 @@ "process.runtime.cpu.time": ["user", "system"], "process.runtime.gc_count": None, "cpython.gc.collections": None, + "cpython.gc.collected_objects": None, + "cpython.gc.uncollectable_objects": None, "process.runtime.thread_count": None, "process.runtime.cpu.utilization": None, "process.runtime.context_switches": ["involuntary", "voluntary"], @@ -138,6 +142,8 @@ "process.runtime.cpu.time": ["user", "system"], "process.runtime.gc_count": None, "cpython.gc.collections": None, + "cpython.gc.collected_objects": None, + "cpython.gc.uncollectable_objects": None, "process.runtime.thread_count": None, "process.runtime.cpu.utilization": None, "process.runtime.context_switches": ["involuntary", "voluntary"], @@ -199,6 +205,8 @@ def __init__( self._runtime_cpu_time_labels = self._labels.copy() self._runtime_gc_count_labels = self._labels.copy() self._runtime_gc_collections_labels = self._labels.copy() + self._runtime_gc_collected_objects_labels = self._labels.copy() + self._runtime_gc_uncollectable_objects_labels = self._labels.copy() self._runtime_thread_count_labels = self._labels.copy() self._runtime_cpu_utilization_labels = self._labels.copy() self._runtime_context_switches_labels = self._labels.copy() @@ -486,6 +494,32 @@ def _instrument(self, **kwargs: Any): unit="{collection}", ) + if "cpython.gc.collected_objects" in self._config: + if self._python_implementation == "pypy": + _logger.warning( + "The cpython.gc.collected_objects metric won't be collected because the interpreter is PyPy" + ) + else: + self._meter.create_observable_counter( + name="cpython.gc.collected_objects", + callbacks=[self._get_runtime_gc_collected_objects], + description="The total number of objects collected since interpreter start.", + unit="{object}", + ) + + if "cpython.gc.uncollectable_objects" in self._config: + if self._python_implementation == "pypy": + _logger.warning( + "The cpython.gc.uncollectable_objects metric won't be collected because the interpreter is PyPy" + ) + else: + self._meter.create_observable_counter( + name="cpython.gc.uncollectable_objects", + callbacks=[self._get_runtime_gc_uncollectable_objects], + description="The total number of uncollectable objects found since interpreter start.", + unit="{object}", + ) + if "process.runtime.thread_count" in self._config: self._meter.create_observable_up_down_counter( name=f"process.runtime.{self._python_implementation}.thread_count", @@ -911,6 +945,32 @@ def _get_runtime_gc_collections( stat["collections"], self._runtime_gc_collections_labels.copy() ) + def _get_runtime_gc_collected_objects( + self, options: CallbackOptions + ) -> Iterable[Observation]: + """Observer callback for garbage collection collected objects""" + for index, stat in enumerate(gc.get_stats()): + self._runtime_gc_collected_objects_labels["generation"] = str( + index + ) + yield Observation( + stat["collected"], + self._runtime_gc_collected_objects_labels.copy(), + ) + + def _get_runtime_gc_uncollectable_objects( + self, options: CallbackOptions + ) -> Iterable[Observation]: + """Observer callback for garbage collection uncollectable objects""" + for index, stat in enumerate(gc.get_stats()): + self._runtime_gc_uncollectable_objects_labels["generation"] = str( + index + ) + yield Observation( + stat["uncollectable"], + self._runtime_gc_uncollectable_objects_labels.copy(), + ) + def _get_runtime_thread_count( self, options: CallbackOptions ) -> Iterable[Observation]: diff --git a/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/version.py b/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/version.py +++ b/instrumentation/opentelemetry-instrumentation-system-metrics/src/opentelemetry/instrumentation/system_metrics/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-system-metrics/tests/test_system_metrics.py b/instrumentation/opentelemetry-instrumentation-system-metrics/tests/test_system_metrics.py index 47c309de2e..b71c307758 100644 --- a/instrumentation/opentelemetry-instrumentation-system-metrics/tests/test_system_metrics.py +++ b/instrumentation/opentelemetry-instrumentation-system-metrics/tests/test_system_metrics.py @@ -139,6 +139,12 @@ def test_system_metrics_instrument(self): observer_names.append( "cpython.gc.collections", ) + observer_names.append( + "cpython.gc.collected_objects", + ) + observer_names.append( + "cpython.gc.uncollectable_objects", + ) if sys.platform != "darwin": observer_names.append("system.network.connections") @@ -983,6 +989,54 @@ def test_runtime_get_gc_collections(self, mock_gc_get_stats): expected_gc_collections, ) + @mock.patch("gc.get_stats") + @skipIf( + python_implementation().lower() == "pypy", "not supported for pypy" + ) + def test_runtime_get_gc_collected_objects(self, mock_gc_get_stats): + mock_gc_get_stats.configure_mock( + **{ + "return_value": [ + {"collections": 10, "collected": 100, "uncollectable": 1}, + {"collections": 20, "collected": 200, "uncollectable": 2}, + {"collections": 30, "collected": 300, "uncollectable": 3}, + ] + } + ) + expected_gc_collected_objects = [ + _SystemMetricsResult({"generation": "0"}, 100), + _SystemMetricsResult({"generation": "1"}, 200), + _SystemMetricsResult({"generation": "2"}, 300), + ] + self._test_metrics( + "cpython.gc.collected_objects", + expected_gc_collected_objects, + ) + + @mock.patch("gc.get_stats") + @skipIf( + python_implementation().lower() == "pypy", "not supported for pypy" + ) + def test_runtime_get_gc_uncollectable_objects(self, mock_gc_get_stats): + mock_gc_get_stats.configure_mock( + **{ + "return_value": [ + {"collections": 10, "collected": 100, "uncollectable": 1}, + {"collections": 20, "collected": 200, "uncollectable": 2}, + {"collections": 30, "collected": 300, "uncollectable": 3}, + ] + } + ) + expected_gc_uncollectable_objects = [ + _SystemMetricsResult({"generation": "0"}, 1), + _SystemMetricsResult({"generation": "1"}, 2), + _SystemMetricsResult({"generation": "2"}, 3), + ] + self._test_metrics( + "cpython.gc.uncollectable_objects", + expected_gc_uncollectable_objects, + ) + @mock.patch("psutil.Process.num_ctx_switches") def test_runtime_context_switches(self, mock_process_num_ctx_switches): PCtxSwitches = namedtuple("PCtxSwitches", ["voluntary", "involuntary"]) diff --git a/instrumentation/opentelemetry-instrumentation-threading/pyproject.toml b/instrumentation/opentelemetry-instrumentation-threading/pyproject.toml index 8db3d93a64..955f2ae7fb 100644 --- a/instrumentation/opentelemetry-instrumentation-threading/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-threading/pyproject.toml @@ -26,7 +26,7 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-threading/src/opentelemetry/instrumentation/threading/version.py b/instrumentation/opentelemetry-instrumentation-threading/src/opentelemetry/instrumentation/threading/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-threading/src/opentelemetry/instrumentation/threading/version.py +++ b/instrumentation/opentelemetry-instrumentation-threading/src/opentelemetry/instrumentation/threading/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-tornado/pyproject.toml b/instrumentation/opentelemetry-instrumentation-tornado/pyproject.toml index 7d0939652d..fe4e67d64c 100644 --- a/instrumentation/opentelemetry-instrumentation-tornado/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-tornado/pyproject.toml @@ -25,9 +25,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/__init__.py b/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/__init__.py index e79117a8d0..bdccb33edb 100644 --- a/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/__init__.py +++ b/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/__init__.py @@ -403,11 +403,14 @@ def _wrap(cls, method_name, wrapper): def _prepare( tracer, server_histograms, request_hook, func, handler, args, kwargs ): - otel_handler_state = {_START_TIME: default_timer()} + request = handler.request + otel_handler_state = { + _START_TIME: default_timer(), + "exclude_request": _excluded_urls.url_disabled(request.uri), + } setattr(handler, _HANDLER_STATE_KEY, otel_handler_state) - request = handler.request - if _excluded_urls.url_disabled(request.uri): + if otel_handler_state["exclude_request"]: return func(*args, **kwargs) _record_prepare_metrics(server_histograms, handler) @@ -625,6 +628,8 @@ def _record_prepare_metrics(server_histograms, handler): def _record_on_finish_metrics(server_histograms, handler, error=None): otel_handler_state = getattr(handler, _HANDLER_STATE_KEY, None) or {} + if otel_handler_state.get("exclude_request"): + return start_time = otel_handler_state.get(_START_TIME, None) or default_timer() elapsed_time = round((default_timer() - start_time) * 1000) diff --git a/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/version.py b/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/version.py +++ b/instrumentation/opentelemetry-instrumentation-tornado/src/opentelemetry/instrumentation/tornado/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-tornado/tests/test_metrics_instrumentation.py b/instrumentation/opentelemetry-instrumentation-tornado/tests/test_metrics_instrumentation.py index 2afa05a20a..859c38a05e 100644 --- a/instrumentation/opentelemetry-instrumentation-tornado/tests/test_metrics_instrumentation.py +++ b/instrumentation/opentelemetry-instrumentation-tornado/tests/test_metrics_instrumentation.py @@ -252,3 +252,16 @@ def test_metric_uninstrument(self): for point in list(metric.data.data_points): if isinstance(point, HistogramDataPoint): self.assertEqual(point.count, 1) + + def test_exclude_lists(self): + def test_excluded(path): + self.fetch(path) + + # Verify no server metrics written (only client ones should exist) + metrics = self.get_sorted_metrics() + for metric in metrics: + self.assertTrue("http.server" not in metric.name, metric) + self.assertEqual(len(metrics), 3, metrics) + + test_excluded("/healthz") + test_excluded("/ping") diff --git a/instrumentation/opentelemetry-instrumentation-tortoiseorm/pyproject.toml b/instrumentation/opentelemetry-instrumentation-tortoiseorm/pyproject.toml index b145ef6045..4f9a5f142e 100644 --- a/instrumentation/opentelemetry-instrumentation-tortoiseorm/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-tortoiseorm/pyproject.toml @@ -26,8 +26,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-tortoiseorm/src/opentelemetry/instrumentation/tortoiseorm/version.py b/instrumentation/opentelemetry-instrumentation-tortoiseorm/src/opentelemetry/instrumentation/tortoiseorm/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-tortoiseorm/src/opentelemetry/instrumentation/tortoiseorm/version.py +++ b/instrumentation/opentelemetry-instrumentation-tortoiseorm/src/opentelemetry/instrumentation/tortoiseorm/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-urllib/README.rst b/instrumentation/opentelemetry-instrumentation-urllib/README.rst index f673fb07f9..514dbf2814 100644 --- a/instrumentation/opentelemetry-instrumentation-urllib/README.rst +++ b/instrumentation/opentelemetry-instrumentation-urllib/README.rst @@ -37,7 +37,7 @@ The hooks can be configured as follows: # `request_obj` is an instance of urllib.request.Request # `response` is an instance of http.client.HTTPResponse - def response_hook(span, request_obj, response) + def response_hook(span, request_obj, response): pass URLLibInstrumentor().instrument( diff --git a/instrumentation/opentelemetry-instrumentation-urllib/pyproject.toml b/instrumentation/opentelemetry-instrumentation-urllib/pyproject.toml index eaa36fdb22..0fed885f32 100644 --- a/instrumentation/opentelemetry-instrumentation-urllib/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-urllib/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-urllib/src/opentelemetry/instrumentation/urllib/version.py b/instrumentation/opentelemetry-instrumentation-urllib/src/opentelemetry/instrumentation/urllib/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-urllib/src/opentelemetry/instrumentation/urllib/version.py +++ b/instrumentation/opentelemetry-instrumentation-urllib/src/opentelemetry/instrumentation/urllib/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-urllib3/pyproject.toml b/instrumentation/opentelemetry-instrumentation-urllib3/pyproject.toml index 6e544f3f9d..58bb768a06 100644 --- a/instrumentation/opentelemetry-instrumentation-urllib3/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-urllib3/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", "wrapt >= 1.0.0, < 2.0.0", ] diff --git a/instrumentation/opentelemetry-instrumentation-urllib3/src/opentelemetry/instrumentation/urllib3/version.py b/instrumentation/opentelemetry-instrumentation-urllib3/src/opentelemetry/instrumentation/urllib3/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-urllib3/src/opentelemetry/instrumentation/urllib3/version.py +++ b/instrumentation/opentelemetry-instrumentation-urllib3/src/opentelemetry/instrumentation/urllib3/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/instrumentation/opentelemetry-instrumentation-wsgi/pyproject.toml b/instrumentation/opentelemetry-instrumentation-wsgi/pyproject.toml index 2fb03db03e..fc21557c4b 100644 --- a/instrumentation/opentelemetry-instrumentation-wsgi/pyproject.toml +++ b/instrumentation/opentelemetry-instrumentation-wsgi/pyproject.toml @@ -26,9 +26,9 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", - "opentelemetry-semantic-conventions == 0.58b0.dev", - "opentelemetry-util-http == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", + "opentelemetry-semantic-conventions == 0.59b0.dev", + "opentelemetry-util-http == 0.59b0.dev", ] [project.optional-dependencies] diff --git a/instrumentation/opentelemetry-instrumentation-wsgi/src/opentelemetry/instrumentation/wsgi/version.py b/instrumentation/opentelemetry-instrumentation-wsgi/src/opentelemetry/instrumentation/wsgi/version.py index 6dcebda201..46aee9202b 100644 --- a/instrumentation/opentelemetry-instrumentation-wsgi/src/opentelemetry/instrumentation/wsgi/version.py +++ b/instrumentation/opentelemetry-instrumentation-wsgi/src/opentelemetry/instrumentation/wsgi/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/opentelemetry-contrib-instrumentations/pyproject.toml b/opentelemetry-contrib-instrumentations/pyproject.toml index 9f40ebfac3..40c9893c37 100644 --- a/opentelemetry-contrib-instrumentations/pyproject.toml +++ b/opentelemetry-contrib-instrumentations/pyproject.toml @@ -29,57 +29,57 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-instrumentation-aio-pika==0.58b0.dev", - "opentelemetry-instrumentation-aiohttp-client==0.58b0.dev", - "opentelemetry-instrumentation-aiohttp-server==0.58b0.dev", - "opentelemetry-instrumentation-aiokafka==0.58b0.dev", - "opentelemetry-instrumentation-aiopg==0.58b0.dev", - "opentelemetry-instrumentation-asgi==0.58b0.dev", - "opentelemetry-instrumentation-asyncclick==0.58b0.dev", - "opentelemetry-instrumentation-asyncio==0.58b0.dev", - "opentelemetry-instrumentation-asyncpg==0.58b0.dev", - "opentelemetry-instrumentation-aws-lambda==0.58b0.dev", - "opentelemetry-instrumentation-boto==0.58b0.dev", - "opentelemetry-instrumentation-boto3sqs==0.58b0.dev", - "opentelemetry-instrumentation-botocore==0.58b0.dev", - "opentelemetry-instrumentation-cassandra==0.58b0.dev", - "opentelemetry-instrumentation-celery==0.58b0.dev", - "opentelemetry-instrumentation-click==0.58b0.dev", - "opentelemetry-instrumentation-confluent-kafka==0.58b0.dev", - "opentelemetry-instrumentation-dbapi==0.58b0.dev", - "opentelemetry-instrumentation-django==0.58b0.dev", - "opentelemetry-instrumentation-elasticsearch==0.58b0.dev", - "opentelemetry-instrumentation-falcon==0.58b0.dev", - "opentelemetry-instrumentation-fastapi==0.58b0.dev", - "opentelemetry-instrumentation-flask==0.58b0.dev", - "opentelemetry-instrumentation-grpc==0.58b0.dev", - "opentelemetry-instrumentation-httpx==0.58b0.dev", - "opentelemetry-instrumentation-jinja2==0.58b0.dev", - "opentelemetry-instrumentation-kafka-python==0.58b0.dev", - "opentelemetry-instrumentation-logging==0.58b0.dev", - "opentelemetry-instrumentation-mysql==0.58b0.dev", - "opentelemetry-instrumentation-mysqlclient==0.58b0.dev", - "opentelemetry-instrumentation-pika==0.58b0.dev", - "opentelemetry-instrumentation-psycopg==0.58b0.dev", - "opentelemetry-instrumentation-psycopg2==0.58b0.dev", - "opentelemetry-instrumentation-pymemcache==0.58b0.dev", - "opentelemetry-instrumentation-pymongo==0.58b0.dev", - "opentelemetry-instrumentation-pymssql==0.58b0.dev", - "opentelemetry-instrumentation-pymysql==0.58b0.dev", - "opentelemetry-instrumentation-pyramid==0.58b0.dev", - "opentelemetry-instrumentation-redis==0.58b0.dev", - "opentelemetry-instrumentation-remoulade==0.58b0.dev", - "opentelemetry-instrumentation-requests==0.58b0.dev", - "opentelemetry-instrumentation-sqlalchemy==0.58b0.dev", - "opentelemetry-instrumentation-sqlite3==0.58b0.dev", - "opentelemetry-instrumentation-starlette==0.58b0.dev", - "opentelemetry-instrumentation-system-metrics==0.58b0.dev", - "opentelemetry-instrumentation-threading==0.58b0.dev", - "opentelemetry-instrumentation-tornado==0.58b0.dev", - "opentelemetry-instrumentation-tortoiseorm==0.58b0.dev", - "opentelemetry-instrumentation-urllib==0.58b0.dev", - "opentelemetry-instrumentation-urllib3==0.58b0.dev", - "opentelemetry-instrumentation-wsgi==0.58b0.dev", + "opentelemetry-instrumentation-aio-pika==0.59b0.dev", + "opentelemetry-instrumentation-aiohttp-client==0.59b0.dev", + "opentelemetry-instrumentation-aiohttp-server==0.59b0.dev", + "opentelemetry-instrumentation-aiokafka==0.59b0.dev", + "opentelemetry-instrumentation-aiopg==0.59b0.dev", + "opentelemetry-instrumentation-asgi==0.59b0.dev", + "opentelemetry-instrumentation-asyncclick==0.59b0.dev", + "opentelemetry-instrumentation-asyncio==0.59b0.dev", + "opentelemetry-instrumentation-asyncpg==0.59b0.dev", + "opentelemetry-instrumentation-aws-lambda==0.59b0.dev", + "opentelemetry-instrumentation-boto==0.59b0.dev", + "opentelemetry-instrumentation-boto3sqs==0.59b0.dev", + "opentelemetry-instrumentation-botocore==0.59b0.dev", + "opentelemetry-instrumentation-cassandra==0.59b0.dev", + "opentelemetry-instrumentation-celery==0.59b0.dev", + "opentelemetry-instrumentation-click==0.59b0.dev", + "opentelemetry-instrumentation-confluent-kafka==0.59b0.dev", + "opentelemetry-instrumentation-dbapi==0.59b0.dev", + "opentelemetry-instrumentation-django==0.59b0.dev", + "opentelemetry-instrumentation-elasticsearch==0.59b0.dev", + "opentelemetry-instrumentation-falcon==0.59b0.dev", + "opentelemetry-instrumentation-fastapi==0.59b0.dev", + "opentelemetry-instrumentation-flask==0.59b0.dev", + "opentelemetry-instrumentation-grpc==0.59b0.dev", + "opentelemetry-instrumentation-httpx==0.59b0.dev", + "opentelemetry-instrumentation-jinja2==0.59b0.dev", + "opentelemetry-instrumentation-kafka-python==0.59b0.dev", + "opentelemetry-instrumentation-logging==0.59b0.dev", + "opentelemetry-instrumentation-mysql==0.59b0.dev", + "opentelemetry-instrumentation-mysqlclient==0.59b0.dev", + "opentelemetry-instrumentation-pika==0.59b0.dev", + "opentelemetry-instrumentation-psycopg==0.59b0.dev", + "opentelemetry-instrumentation-psycopg2==0.59b0.dev", + "opentelemetry-instrumentation-pymemcache==0.59b0.dev", + "opentelemetry-instrumentation-pymongo==0.59b0.dev", + "opentelemetry-instrumentation-pymssql==0.59b0.dev", + "opentelemetry-instrumentation-pymysql==0.59b0.dev", + "opentelemetry-instrumentation-pyramid==0.59b0.dev", + "opentelemetry-instrumentation-redis==0.59b0.dev", + "opentelemetry-instrumentation-remoulade==0.59b0.dev", + "opentelemetry-instrumentation-requests==0.59b0.dev", + "opentelemetry-instrumentation-sqlalchemy==0.59b0.dev", + "opentelemetry-instrumentation-sqlite3==0.59b0.dev", + "opentelemetry-instrumentation-starlette==0.59b0.dev", + "opentelemetry-instrumentation-system-metrics==0.59b0.dev", + "opentelemetry-instrumentation-threading==0.59b0.dev", + "opentelemetry-instrumentation-tornado==0.59b0.dev", + "opentelemetry-instrumentation-tortoiseorm==0.59b0.dev", + "opentelemetry-instrumentation-urllib==0.59b0.dev", + "opentelemetry-instrumentation-urllib3==0.59b0.dev", + "opentelemetry-instrumentation-wsgi==0.59b0.dev", ] [project.urls] diff --git a/opentelemetry-contrib-instrumentations/src/opentelemetry/contrib-instrumentations/version.py b/opentelemetry-contrib-instrumentations/src/opentelemetry/contrib-instrumentations/version.py index 6dcebda201..46aee9202b 100644 --- a/opentelemetry-contrib-instrumentations/src/opentelemetry/contrib-instrumentations/version.py +++ b/opentelemetry-contrib-instrumentations/src/opentelemetry/contrib-instrumentations/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/opentelemetry-distro/pyproject.toml b/opentelemetry-distro/pyproject.toml index a03bc35b6b..ad29a2d015 100644 --- a/opentelemetry-distro/pyproject.toml +++ b/opentelemetry-distro/pyproject.toml @@ -27,13 +27,13 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.12", - "opentelemetry-instrumentation == 0.58b0.dev", + "opentelemetry-instrumentation == 0.59b0.dev", "opentelemetry-sdk ~= 1.13", ] [project.optional-dependencies] otlp = [ - "opentelemetry-exporter-otlp == 1.37.0.dev", + "opentelemetry-exporter-otlp == 1.38.0.dev", ] [project.entry-points.opentelemetry_configurator] diff --git a/opentelemetry-distro/src/opentelemetry/distro/version.py b/opentelemetry-distro/src/opentelemetry/distro/version.py index 6dcebda201..46aee9202b 100644 --- a/opentelemetry-distro/src/opentelemetry/distro/version.py +++ b/opentelemetry-distro/src/opentelemetry/distro/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/opentelemetry-instrumentation/README.rst b/opentelemetry-instrumentation/README.rst index c8731fda2e..a342aa188c 100644 --- a/opentelemetry-instrumentation/README.rst +++ b/opentelemetry-instrumentation/README.rst @@ -104,7 +104,13 @@ check `here = 1.0.0, < 2.0.0", "packaging >= 18.0", ] diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/_semconv.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/_semconv.py index c443fcbfdd..1b1748e206 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/_semconv.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/_semconv.py @@ -162,9 +162,10 @@ OTEL_SEMCONV_STABILITY_OPT_IN = "OTEL_SEMCONV_STABILITY_OPT_IN" -class _OpenTelemetryStabilitySignalType: +class _OpenTelemetryStabilitySignalType(Enum): HTTP = "http" DATABASE = "database" + GEN_AI = "gen_ai" class _StabilityMode(Enum): @@ -173,6 +174,7 @@ class _StabilityMode(Enum): HTTP_DUP = "http/dup" DATABASE = "database" DATABASE_DUP = "database/dup" + GEN_AI_LATEST_EXPERIMENTAL = "gen_ai_latest_experimental" def _report_new(mode: _StabilityMode): @@ -195,7 +197,7 @@ def _initialize(cls): return # Users can pass in comma delimited string for opt-in options - # Only values for http and database stability are supported for now + # Only values for http, gen ai, and database stability are supported for now opt_in = os.environ.get(OTEL_SEMCONV_STABILITY_OPT_IN) if not opt_in: @@ -203,6 +205,7 @@ def _initialize(cls): cls._OTEL_SEMCONV_STABILITY_SIGNAL_MAPPING = { _OpenTelemetryStabilitySignalType.HTTP: _StabilityMode.DEFAULT, _OpenTelemetryStabilitySignalType.DATABASE: _StabilityMode.DEFAULT, + _OpenTelemetryStabilitySignalType.GEN_AI: _StabilityMode.DEFAULT, } cls._initialized = True return @@ -215,6 +218,14 @@ def _initialize(cls): opt_in_list, _StabilityMode.HTTP, _StabilityMode.HTTP_DUP ) + cls._OTEL_SEMCONV_STABILITY_SIGNAL_MAPPING[ + _OpenTelemetryStabilitySignalType.GEN_AI + ] = cls._filter_mode( + opt_in_list, + _StabilityMode.DEFAULT, + _StabilityMode.GEN_AI_LATEST_EXPERIMENTAL, + ) + cls._OTEL_SEMCONV_STABILITY_SIGNAL_MAPPING[ _OpenTelemetryStabilitySignalType.DATABASE ] = cls._filter_mode( @@ -222,7 +233,6 @@ def _initialize(cls): _StabilityMode.DATABASE, _StabilityMode.DATABASE_DUP, ) - cls._initialized = True @staticmethod diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/__init__.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/__init__.py index 8571d0e5a2..1c87d2c327 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/__init__.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/auto_instrumentation/__init__.py @@ -12,6 +12,8 @@ # See the License for the specific language governing permissions and # limitations under the License. +from __future__ import annotations + from argparse import REMAINDER, ArgumentParser from logging import getLogger from os import environ, execl, getcwd @@ -24,6 +26,9 @@ _load_distro, _load_instrumentors, ) +from opentelemetry.instrumentation.environment_variables import ( + OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH, +) from opentelemetry.instrumentation.utils import _python_path_without_directory from opentelemetry.instrumentation.version import __version__ from opentelemetry.util._importlib_metadata import entry_points @@ -130,6 +135,30 @@ def initialize(*, swallow_exceptions: bool = True) -> None: environ["PYTHONPATH"], dirname(abspath(__file__)), pathsep ) + # handle optional gevent monkey patching. This is done via environment variables so it may be used from the + # opentelemetry operator + gevent_patch: str | None = environ.get( + OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH + ) + if gevent_patch is not None: + if gevent_patch != "patch_all": + _logger.error( + "%s value must be `patch_all`", + OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH, + ) + else: + try: + # pylint: disable=import-outside-toplevel + from gevent import monkey + + getattr(monkey, gevent_patch)() + except ImportError: + _logger.exception( + "Failed to monkey patch with gevent because gevent is not available" + ) + if not swallow_exceptions: + raise + try: distro = _load_distro() distro.configure() diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py index fe408f8a58..c017bed38e 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py @@ -16,6 +16,10 @@ # RUN `python scripts/generate_instrumentation_bootstrap.py` TO REGENERATE. libraries = [ + { + "library": "openai >= 1.26.0", + "instrumentation": "opentelemetry-instrumentation-openai-agents==0.1.0.dev", + }, { "library": "openai >= 1.26.0", "instrumentation": "opentelemetry-instrumentation-openai-v2", @@ -26,199 +30,199 @@ }, { "library": "aio_pika >= 7.2.0, < 10.0.0", - "instrumentation": "opentelemetry-instrumentation-aio-pika==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-aio-pika==0.59b0.dev", }, { "library": "aiohttp ~= 3.0", - "instrumentation": "opentelemetry-instrumentation-aiohttp-client==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-aiohttp-client==0.59b0.dev", }, { "library": "aiohttp ~= 3.0", - "instrumentation": "opentelemetry-instrumentation-aiohttp-server==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-aiohttp-server==0.59b0.dev", }, { "library": "aiokafka >= 0.8, < 1.0", - "instrumentation": "opentelemetry-instrumentation-aiokafka==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-aiokafka==0.59b0.dev", }, { "library": "aiopg >= 0.13.0, < 2.0.0", - "instrumentation": "opentelemetry-instrumentation-aiopg==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-aiopg==0.59b0.dev", }, { "library": "asgiref ~= 3.0", - "instrumentation": "opentelemetry-instrumentation-asgi==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-asgi==0.59b0.dev", }, { "library": "asyncclick ~= 8.0", - "instrumentation": "opentelemetry-instrumentation-asyncclick==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-asyncclick==0.59b0.dev", }, { "library": "asyncpg >= 0.12.0", - "instrumentation": "opentelemetry-instrumentation-asyncpg==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-asyncpg==0.59b0.dev", }, { "library": "boto~=2.0", - "instrumentation": "opentelemetry-instrumentation-boto==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-boto==0.59b0.dev", }, { "library": "boto3 ~= 1.0", - "instrumentation": "opentelemetry-instrumentation-boto3sqs==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-boto3sqs==0.59b0.dev", }, { "library": "botocore ~= 1.0", - "instrumentation": "opentelemetry-instrumentation-botocore==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-botocore==0.59b0.dev", }, { "library": "cassandra-driver ~= 3.25", - "instrumentation": "opentelemetry-instrumentation-cassandra==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-cassandra==0.59b0.dev", }, { "library": "scylla-driver ~= 3.25", - "instrumentation": "opentelemetry-instrumentation-cassandra==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-cassandra==0.59b0.dev", }, { "library": "celery >= 4.0, < 6.0", - "instrumentation": "opentelemetry-instrumentation-celery==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-celery==0.59b0.dev", }, { "library": "click >= 8.1.3, < 9.0.0", - "instrumentation": "opentelemetry-instrumentation-click==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-click==0.59b0.dev", }, { "library": "confluent-kafka >= 1.8.2, <= 2.11.0", - "instrumentation": "opentelemetry-instrumentation-confluent-kafka==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-confluent-kafka==0.59b0.dev", }, { "library": "django >= 1.10", - "instrumentation": "opentelemetry-instrumentation-django==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-django==0.59b0.dev", }, { "library": "elasticsearch >= 6.0", - "instrumentation": "opentelemetry-instrumentation-elasticsearch==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-elasticsearch==0.59b0.dev", }, { "library": "falcon >= 1.4.1, < 5.0.0", - "instrumentation": "opentelemetry-instrumentation-falcon==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-falcon==0.59b0.dev", }, { "library": "fastapi ~= 0.92", - "instrumentation": "opentelemetry-instrumentation-fastapi==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-fastapi==0.59b0.dev", }, { "library": "flask >= 1.0", - "instrumentation": "opentelemetry-instrumentation-flask==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-flask==0.59b0.dev", }, { "library": "grpcio >= 1.42.0", - "instrumentation": "opentelemetry-instrumentation-grpc==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-grpc==0.59b0.dev", }, { "library": "httpx >= 0.18.0", - "instrumentation": "opentelemetry-instrumentation-httpx==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-httpx==0.59b0.dev", }, { "library": "jinja2 >= 2.7, < 4.0", - "instrumentation": "opentelemetry-instrumentation-jinja2==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-jinja2==0.59b0.dev", }, { "library": "kafka-python >= 2.0, < 3.0", - "instrumentation": "opentelemetry-instrumentation-kafka-python==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-kafka-python==0.59b0.dev", }, { "library": "kafka-python-ng >= 2.0, < 3.0", - "instrumentation": "opentelemetry-instrumentation-kafka-python==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-kafka-python==0.59b0.dev", }, { "library": "mysql-connector-python >= 8.0, < 10.0", - "instrumentation": "opentelemetry-instrumentation-mysql==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-mysql==0.59b0.dev", }, { "library": "mysqlclient < 3", - "instrumentation": "opentelemetry-instrumentation-mysqlclient==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-mysqlclient==0.59b0.dev", }, { "library": "pika >= 0.12.0", - "instrumentation": "opentelemetry-instrumentation-pika==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pika==0.59b0.dev", }, { "library": "psycopg >= 3.1.0", - "instrumentation": "opentelemetry-instrumentation-psycopg==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-psycopg==0.59b0.dev", }, { "library": "psycopg2 >= 2.7.3.1", - "instrumentation": "opentelemetry-instrumentation-psycopg2==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-psycopg2==0.59b0.dev", }, { "library": "psycopg2-binary >= 2.7.3.1", - "instrumentation": "opentelemetry-instrumentation-psycopg2==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-psycopg2==0.59b0.dev", }, { "library": "pymemcache >= 1.3.5, < 5", - "instrumentation": "opentelemetry-instrumentation-pymemcache==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pymemcache==0.59b0.dev", }, { "library": "pymongo >= 3.1, < 5.0", - "instrumentation": "opentelemetry-instrumentation-pymongo==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pymongo==0.59b0.dev", }, { "library": "pymssql >= 2.1.5, < 3", - "instrumentation": "opentelemetry-instrumentation-pymssql==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pymssql==0.59b0.dev", }, { "library": "PyMySQL < 2", - "instrumentation": "opentelemetry-instrumentation-pymysql==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pymysql==0.59b0.dev", }, { "library": "pyramid >= 1.7", - "instrumentation": "opentelemetry-instrumentation-pyramid==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-pyramid==0.59b0.dev", }, { "library": "redis >= 2.6", - "instrumentation": "opentelemetry-instrumentation-redis==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-redis==0.59b0.dev", }, { "library": "remoulade >= 0.50", - "instrumentation": "opentelemetry-instrumentation-remoulade==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-remoulade==0.59b0.dev", }, { "library": "requests ~= 2.0", - "instrumentation": "opentelemetry-instrumentation-requests==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-requests==0.59b0.dev", }, { "library": "sqlalchemy >= 1.0.0, < 2.1.0", - "instrumentation": "opentelemetry-instrumentation-sqlalchemy==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-sqlalchemy==0.59b0.dev", }, { "library": "starlette >= 0.13", - "instrumentation": "opentelemetry-instrumentation-starlette==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-starlette==0.59b0.dev", }, { "library": "psutil >= 5", - "instrumentation": "opentelemetry-instrumentation-system-metrics==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-system-metrics==0.59b0.dev", }, { "library": "tornado >= 5.1.1", - "instrumentation": "opentelemetry-instrumentation-tornado==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-tornado==0.59b0.dev", }, { "library": "tortoise-orm >= 0.17.0", - "instrumentation": "opentelemetry-instrumentation-tortoiseorm==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-tortoiseorm==0.59b0.dev", }, { "library": "pydantic >= 1.10.2", - "instrumentation": "opentelemetry-instrumentation-tortoiseorm==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-tortoiseorm==0.59b0.dev", }, { "library": "urllib3 >= 1.0.0, < 3.0.0", - "instrumentation": "opentelemetry-instrumentation-urllib3==0.58b0.dev", + "instrumentation": "opentelemetry-instrumentation-urllib3==0.59b0.dev", }, ] default_instrumentations = [ - "opentelemetry-instrumentation-asyncio==0.58b0.dev", - "opentelemetry-instrumentation-dbapi==0.58b0.dev", - "opentelemetry-instrumentation-logging==0.58b0.dev", - "opentelemetry-instrumentation-sqlite3==0.58b0.dev", - "opentelemetry-instrumentation-threading==0.58b0.dev", - "opentelemetry-instrumentation-urllib==0.58b0.dev", - "opentelemetry-instrumentation-wsgi==0.58b0.dev", + "opentelemetry-instrumentation-asyncio==0.59b0.dev", + "opentelemetry-instrumentation-dbapi==0.59b0.dev", + "opentelemetry-instrumentation-logging==0.59b0.dev", + "opentelemetry-instrumentation-sqlite3==0.59b0.dev", + "opentelemetry-instrumentation-threading==0.59b0.dev", + "opentelemetry-instrumentation-urllib==0.59b0.dev", + "opentelemetry-instrumentation-wsgi==0.59b0.dev", ] diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/environment_variables.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/environment_variables.py index 7886779632..ee95bb3587 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/environment_variables.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/environment_variables.py @@ -26,3 +26,10 @@ """ .. envvar:: OTEL_PYTHON_CONFIGURATOR """ + +OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH = ( + "OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH" +) +""" +.. envvar:: OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH +""" diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/version.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/version.py index 6dcebda201..46aee9202b 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/version.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/opentelemetry-instrumentation/test-requirements.txt b/opentelemetry-instrumentation/test-requirements.txt index 943a45c8f4..58c09a950b 100644 --- a/opentelemetry-instrumentation/test-requirements.txt +++ b/opentelemetry-instrumentation/test-requirements.txt @@ -1,5 +1,6 @@ asgiref==3.8.1 Deprecated==1.2.14 +gevent==25.5.1 iniconfig==2.0.0 packaging==24.0 pluggy==1.5.0 diff --git a/opentelemetry-instrumentation/tests/auto_instrumentation/test_initialize.py b/opentelemetry-instrumentation/tests/auto_instrumentation/test_initialize.py index 715da0d2f6..c2bf7116d9 100644 --- a/opentelemetry-instrumentation/tests/auto_instrumentation/test_initialize.py +++ b/opentelemetry-instrumentation/tests/auto_instrumentation/test_initialize.py @@ -72,3 +72,30 @@ def test_reraises_exceptions(self, load_distro_mock, logger_mock): ) self.assertEqual("inner exception", str(em.exception)) + + @patch.dict( + "os.environ", + { + "OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH": "patch_foo" + }, + ) + @patch("opentelemetry.instrumentation.auto_instrumentation._logger") + def test_handles_invalid_gevent_monkeypatch(self, logger_mock): + # pylint:disable=no-self-use + auto_instrumentation.initialize() + logger_mock.error.assert_called_once_with( + "%s value must be `patch_all`", + "OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH", + ) + + @patch.dict( + "os.environ", + { + "OTEL_PYTHON_AUTO_INSTRUMENTATION_EXPERIMENTAL_GEVENT_PATCH": "patch_all" + }, + ) + @patch("opentelemetry.instrumentation.auto_instrumentation._logger") + def test_handles_patch_all_gevent_monkeypatch(self, logger_mock): + # pylint:disable=no-self-use + auto_instrumentation.initialize() + logger_mock.error.assert_not_called() diff --git a/opentelemetry-instrumentation/tests/test_semconv.py b/opentelemetry-instrumentation/tests/test_semconv.py index 6a56efcc37..98befb32b7 100644 --- a/opentelemetry-instrumentation/tests/test_semconv.py +++ b/opentelemetry-instrumentation/tests/test_semconv.py @@ -54,6 +54,12 @@ def test_default_mode(self): ), _StabilityMode.DEFAULT, ) + self.assertEqual( + _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI + ), + _StabilityMode.DEFAULT, + ) @stability_mode("http") def test_http_stable_mode(self): @@ -91,7 +97,16 @@ def test_database_dup_mode(self): _StabilityMode.DATABASE_DUP, ) - @stability_mode("database,http") + @stability_mode("gen_ai_latest_experimental") + def test_genai_latest_experimental(self): + self.assertEqual( + _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI + ), + _StabilityMode.GEN_AI_LATEST_EXPERIMENTAL, + ) + + @stability_mode("database,http,gen_ai_latest_experimental") def test_multiple_stability_database_http_modes(self): self.assertEqual( _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( @@ -105,6 +120,12 @@ def test_multiple_stability_database_http_modes(self): ), _StabilityMode.HTTP, ) + self.assertEqual( + _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI + ), + _StabilityMode.GEN_AI_LATEST_EXPERIMENTAL, + ) @stability_mode("database,http/dup") def test_multiple_stability_database_http_dup_modes(self): diff --git a/processor/opentelemetry-processor-baggage/src/opentelemetry/processor/baggage/version.py b/processor/opentelemetry-processor-baggage/src/opentelemetry/processor/baggage/version.py index 6dcebda201..46aee9202b 100644 --- a/processor/opentelemetry-processor-baggage/src/opentelemetry/processor/baggage/version.py +++ b/processor/opentelemetry-processor-baggage/src/opentelemetry/processor/baggage/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/propagator/opentelemetry-propagator-ot-trace/src/opentelemetry/propagators/ot_trace/version.py b/propagator/opentelemetry-propagator-ot-trace/src/opentelemetry/propagators/ot_trace/version.py index 6dcebda201..46aee9202b 100644 --- a/propagator/opentelemetry-propagator-ot-trace/src/opentelemetry/propagators/ot_trace/version.py +++ b/propagator/opentelemetry-propagator-ot-trace/src/opentelemetry/propagators/ot_trace/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/pyproject.toml b/pyproject.toml index 6397c0f4da..822379765d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,6 +64,7 @@ dependencies = [ "opentelemetry-propagator-ot-trace", "opentelemetry-propagator-aws-xray", "opentelemetry-util-http", + "opentelemetry-util-genai", "opentelemetry-instrumentation-vertexai[instruments]", "opentelemetry-instrumentation-openai-v2[instruments]", ] @@ -134,6 +135,7 @@ opentelemetry-instrumentation-wsgi = { workspace = true } opentelemetry-propagator-ot-trace = { workspace = true } opentelemetry-propagator-aws-xray = { workspace = true } opentelemetry-util-http = { workspace = true } +opentelemetry-util-genai = { workspace = true } opentelemetry-instrumentation-vertexai = { workspace = true } opentelemetry-instrumentation-openai-v2 = { workspace = true } @@ -145,7 +147,7 @@ members = [ "exporter/*", "opentelemetry-instrumentation", "propagator/*", - "util/opentelemetry-util-http", + "util/*", ] [tool.ruff] diff --git a/resource/opentelemetry-resource-detector-containerid/src/opentelemetry/resource/detector/containerid/version.py b/resource/opentelemetry-resource-detector-containerid/src/opentelemetry/resource/detector/containerid/version.py index 6dcebda201..46aee9202b 100644 --- a/resource/opentelemetry-resource-detector-containerid/src/opentelemetry/resource/detector/containerid/version.py +++ b/resource/opentelemetry-resource-detector-containerid/src/opentelemetry/resource/detector/containerid/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/scripts/build.sh b/scripts/build.sh index f6fc9d3d60..c652e399b6 100755 --- a/scripts/build.sh +++ b/scripts/build.sh @@ -32,7 +32,7 @@ DISTDIR=dist cd $DISTDIR for x in * ; do # FIXME: Remove this once opentelemetry-resource-detector-azure package goes 1.X - if echo "$x" | grep -Eq "^opentelemetry_resource_detector_azure.*(\.tar\.gz|\.whl)$"; then + if echo "$x" | grep -Eq "^opentelemetry_(resource_detector_azure|util_genai).*(\.tar\.gz|\.whl)$"; then echo "Skipping $x because of manual upload by Azure maintainers." rm $x # NOTE: We filter beta vs 1.0 package at this point because we can read the diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/pyproject.toml b/sdk-extension/opentelemetry-sdk-extension-aws/pyproject.toml index 629194ce34..1dc8a2d68b 100644 --- a/sdk-extension/opentelemetry-sdk-extension-aws/pyproject.toml +++ b/sdk-extension/opentelemetry-sdk-extension-aws/pyproject.toml @@ -25,7 +25,11 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-sdk ~= 1.12", + "opentelemetry-api ~= 1.23", + "opentelemetry-sdk ~= 1.23", + "opentelemetry-instrumentation ~= 0.44b0", + "opentelemetry-semantic-conventions ~= 0.44b0", + "requests ~= 2.28", ] [project.entry-points.opentelemetry_id_generator] @@ -38,6 +42,10 @@ aws_eks = "opentelemetry.sdk.extension.aws.resource.eks:AwsEksResourceDetector" aws_elastic_beanstalk = "opentelemetry.sdk.extension.aws.resource.beanstalk:AwsBeanstalkResourceDetector" aws_lambda = "opentelemetry.sdk.extension.aws.resource._lambda:AwsLambdaResourceDetector" +# TODO: Uncomment this when Sampler implementation is complete +# [project.entry-points.opentelemetry_sampler] +# aws_xray_remote_sampler = "opentelemetry.sdk.extension.aws.trace.sampler:AwsXRayRemoteSampler" + [project.urls] Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/sdk-extension/opentelemetry-sdk-extension-aws" Repository = "https://github.com/open-telemetry/opentelemetry-python-contrib" diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/__init__.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/__init__.py new file mode 100644 index 0000000000..623122fc28 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/__init__.py @@ -0,0 +1,20 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler.aws_xray_remote_sampler import ( + _AwsXRayRemoteSampler, +) + +__all__ = ["_AwsXRayRemoteSampler"] diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_aws_xray_sampling_client.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_aws_xray_sampling_client.py new file mode 100644 index 0000000000..a78da34a64 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_aws_xray_sampling_client.py @@ -0,0 +1,143 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + +import json +from logging import getLogger +from typing import List + +import requests + +# pylint: disable=no-name-in-module +from opentelemetry.instrumentation.utils import suppress_instrumentation +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_rule import ( + _SamplingRule, +) +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_target import ( + _SamplingTargetResponse, +) + +_logger = getLogger(__name__) +DEFAULT_SAMPLING_PROXY_ENDPOINT = "http://127.0.0.1:2000" + + +class _AwsXRaySamplingClient: + def __init__( + self, + endpoint: str = DEFAULT_SAMPLING_PROXY_ENDPOINT, + log_level: str | None = None, + ): + # Override default log level + if log_level is not None: + _logger.setLevel(log_level) + + self.__get_sampling_rules_endpoint = endpoint + "/GetSamplingRules" + self.__get_sampling_targets_endpoint = endpoint + "/SamplingTargets" + + self.__session = requests.Session() + + def get_sampling_rules(self) -> List[_SamplingRule]: + sampling_rules: List["_SamplingRule"] = [] + headers = {"content-type": "application/json"} + + with suppress_instrumentation(): + try: + xray_response = self.__session.post( + url=self.__get_sampling_rules_endpoint, + headers=headers, + timeout=20, + ) + sampling_rules_response = xray_response.json() + if ( + sampling_rules_response is None + or "SamplingRuleRecords" not in sampling_rules_response + ): + _logger.error( + "SamplingRuleRecords is missing in getSamplingRules response: %s", + sampling_rules_response, + ) + return [] + sampling_rules_records = sampling_rules_response[ + "SamplingRuleRecords" + ] + for record in sampling_rules_records: + if "SamplingRule" not in record: + _logger.error( + "SamplingRule is missing in SamplingRuleRecord" + ) + else: + sampling_rules.append( + _SamplingRule(**record["SamplingRule"]) + ) + + except requests.exceptions.RequestException as req_err: + _logger.error("Request error occurred: %s", req_err) + except json.JSONDecodeError as json_err: + _logger.error("Error in decoding JSON response: %s", json_err) + # pylint: disable=broad-exception-caught + except Exception as err: + _logger.error( + "Error occurred when attempting to fetch rules: %s", err + ) + + return sampling_rules + + def get_sampling_targets( + self, statistics: List["dict[str, str | float | int]"] + ) -> _SamplingTargetResponse: + sampling_targets_response = _SamplingTargetResponse( + LastRuleModification=None, + SamplingTargetDocuments=None, + UnprocessedStatistics=None, + ) + headers = {"content-type": "application/json"} + + with suppress_instrumentation(): + try: + xray_response = self.__session.post( + url=self.__get_sampling_targets_endpoint, + headers=headers, + timeout=20, + json={"SamplingStatisticsDocuments": statistics}, + ) + xray_response_json = xray_response.json() + if ( + xray_response_json is None + or "SamplingTargetDocuments" not in xray_response_json + or "LastRuleModification" not in xray_response_json + ): + _logger.debug( + "getSamplingTargets response is invalid. Unable to update targets." + ) + return sampling_targets_response + + sampling_targets_response = _SamplingTargetResponse( + **xray_response_json + ) + except requests.exceptions.RequestException as req_err: + _logger.debug("Request error occurred: %s", req_err) + except json.JSONDecodeError as json_err: + _logger.debug("Error in decoding JSON response: %s", json_err) + # pylint: disable=broad-exception-caught + except Exception as err: + _logger.debug( + "Error occurred when attempting to fetch targets: %s", err + ) + + return sampling_targets_response diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_clock.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_clock.py new file mode 100644 index 0000000000..3d1d7e2d7c --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_clock.py @@ -0,0 +1,37 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import datetime + + +class _Clock: + def __init__(self): + self.__datetime = datetime.datetime + + def now(self) -> datetime.datetime: + return self.__datetime.now() + + # pylint: disable=no-self-use + def from_timestamp(self, timestamp: float) -> datetime.datetime: + return datetime.datetime.fromtimestamp(timestamp) + + def time_delta(self, seconds: float) -> datetime.timedelta: + return datetime.timedelta(seconds=seconds) + + def max(self) -> datetime.datetime: + return datetime.datetime.max diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule.py new file mode 100644 index 0000000000..fd99b2a87f --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule.py @@ -0,0 +1,80 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + + +# Disable snake_case naming style so this class can match the sampling rules response from X-Ray +# pylint: disable=invalid-name +class _SamplingRule: + def __init__( + self, + Attributes: dict[str, str] | None = None, + FixedRate: float | None = None, + HTTPMethod: str | None = None, + Host: str | None = None, + Priority: int | None = None, + ReservoirSize: int | None = None, + ResourceARN: str | None = None, + RuleARN: str | None = None, + RuleName: str | None = None, + ServiceName: str | None = None, + ServiceType: str | None = None, + URLPath: str | None = None, + Version: int | None = None, + ): + self.Attributes = Attributes if Attributes is not None else {} + self.FixedRate = FixedRate if FixedRate is not None else 0.0 + self.HTTPMethod = HTTPMethod if HTTPMethod is not None else "" + self.Host = Host if Host is not None else "" + # Default to value with lower priority than default rule + self.Priority = Priority if Priority is not None else 10001 + self.ReservoirSize = ReservoirSize if ReservoirSize is not None else 0 + self.ResourceARN = ResourceARN if ResourceARN is not None else "" + self.RuleARN = RuleARN if RuleARN is not None else "" + self.RuleName = RuleName if RuleName is not None else "" + self.ServiceName = ServiceName if ServiceName is not None else "" + self.ServiceType = ServiceType if ServiceType is not None else "" + self.URLPath = URLPath if URLPath is not None else "" + self.Version = Version if Version is not None else 0 + + def __lt__(self, other: "_SamplingRule") -> bool: + if self.Priority == other.Priority: + # String order priority example: + # "A","Abc","a","ab","abc","abcdef" + return self.RuleName < other.RuleName + return self.Priority < other.Priority + + def __eq__(self, other: object) -> bool: + if not isinstance(other, _SamplingRule): + return False + return ( + self.FixedRate == other.FixedRate + and self.HTTPMethod == other.HTTPMethod + and self.Host == other.Host + and self.Priority == other.Priority + and self.ReservoirSize == other.ReservoirSize + and self.ResourceARN == other.ResourceARN + and self.RuleARN == other.RuleARN + and self.RuleName == other.RuleName + and self.ServiceName == other.ServiceName + and self.ServiceType == other.ServiceType + and self.URLPath == other.URLPath + and self.Version == other.Version + and self.Attributes == other.Attributes + ) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule_applier.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule_applier.py new file mode 100644 index 0000000000..332b274de2 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_rule_applier.py @@ -0,0 +1,47 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._clock import _Clock +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_rule import ( + _SamplingRule, +) +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_statistics_document import ( + _SamplingStatisticsDocument, +) +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_target import ( + _SamplingTarget, +) + + +class _SamplingRuleApplier: + def __init__( + self, + sampling_rule: _SamplingRule, + client_id: str, + clock: _Clock, + statistics: _SamplingStatisticsDocument | None = None, + target: _SamplingTarget | None = None, + ): + self.__client_id = client_id # pylint: disable=W0238 + self._clock = clock + self.sampling_rule = sampling_rule + + # (TODO) Just store Sampling Rules for now, rest of implementation for later diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_statistics_document.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_statistics_document.py new file mode 100644 index 0000000000..f34ddd10b5 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_statistics_document.py @@ -0,0 +1,50 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._clock import _Clock + + +# Disable snake_case naming style so this class can match the statistics document response from X-Ray +# pylint: disable=invalid-name +class _SamplingStatisticsDocument: + def __init__( + self, + clientID: str, + ruleName: str, + RequestCount: int = 0, + BorrowCount: int = 0, + SampleCount: int = 0, + ): + self.ClientID = clientID + self.RuleName = ruleName + self.Timestamp = None + + self.RequestCount = RequestCount + self.BorrowCount = BorrowCount + self.SampleCount = SampleCount + + def snapshot(self, clock: _Clock): + return { + "ClientID": self.ClientID, + "RuleName": self.RuleName, + "Timestamp": clock.now().timestamp(), + "RequestCount": self.RequestCount, + "BorrowCount": self.BorrowCount, + "SampleCount": self.SampleCount, + } diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_target.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_target.py new file mode 100644 index 0000000000..f7c2e445f6 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/_sampling_target.py @@ -0,0 +1,86 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + +from logging import getLogger +from typing import List + +_logger = getLogger(__name__) + + +# Disable snake_case naming style so this class can match the sampling rules response from X-Ray +# pylint: disable=invalid-name +class _SamplingTarget: + def __init__( + self, + FixedRate: float | None = None, + Interval: int | None = None, + ReservoirQuota: int | None = None, + ReservoirQuotaTTL: float | None = None, + RuleName: str | None = None, + ): + self.FixedRate = FixedRate if FixedRate is not None else 0.0 + self.Interval = Interval # can be None + self.ReservoirQuota = ReservoirQuota # can be None + self.ReservoirQuotaTTL = ReservoirQuotaTTL # can be None + self.RuleName = RuleName if RuleName is not None else "" + + +class _UnprocessedStatistics: + def __init__( + self, + ErrorCode: str | None = None, + Message: str | None = None, + RuleName: str | None = None, + ): + self.ErrorCode = ErrorCode if ErrorCode is not None else "" + self.Message = Message if ErrorCode is not None else "" + self.RuleName = RuleName if ErrorCode is not None else "" + + +class _SamplingTargetResponse: + def __init__( + self, + LastRuleModification: float | None, + SamplingTargetDocuments: List[_SamplingTarget] | None = None, + UnprocessedStatistics: List[_UnprocessedStatistics] | None = None, + ): + self.LastRuleModification: float = ( + LastRuleModification if LastRuleModification is not None else 0.0 + ) + + self.SamplingTargetDocuments: List[_SamplingTarget] = [] + if SamplingTargetDocuments is not None: + for document in SamplingTargetDocuments: + try: + self.SamplingTargetDocuments.append( + _SamplingTarget(**document) + ) + except TypeError as e: + _logger.debug("TypeError occurred: %s", e) + + self.UnprocessedStatistics: List[_UnprocessedStatistics] = [] + if UnprocessedStatistics is not None: + for unprocessed in UnprocessedStatistics: + try: + self.UnprocessedStatistics.append( + _UnprocessedStatistics(**unprocessed) + ) + except TypeError as e: + _logger.debug("TypeError occurred: %s", e) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/aws_xray_remote_sampler.py b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/aws_xray_remote_sampler.py new file mode 100644 index 0000000000..0f34a83be3 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/src/opentelemetry/sdk/extension/aws/trace/sampler/aws_xray_remote_sampler.py @@ -0,0 +1,200 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from __future__ import annotations + +import random +from logging import getLogger +from threading import Timer +from typing import Sequence + +from typing_extensions import override + +# pylint: disable=no-name-in-module +from opentelemetry.context import Context +from opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client import ( + DEFAULT_SAMPLING_PROXY_ENDPOINT, + _AwsXRaySamplingClient, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace.sampling import ( + Decision, + ParentBased, + Sampler, + SamplingResult, +) +from opentelemetry.trace import Link, SpanKind +from opentelemetry.trace.span import TraceState +from opentelemetry.util.types import Attributes + +_logger = getLogger(__name__) + +DEFAULT_RULES_POLLING_INTERVAL_SECONDS = 300 + + +# WORK IN PROGRESS +# TODO: Rename to AwsXRayRemoteSampler when the implementation is complete and is ready to use +# +# Wrapper class to ensure that all XRay Sampler Functionality in _InternalAwsXRayRemoteSampler +# uses ParentBased logic to respect the parent span's sampling decision +class _AwsXRayRemoteSampler(Sampler): + def __init__( + self, + resource: Resource, + endpoint: str | None = None, + polling_interval: int | None = None, + log_level: str | None = None, + ): + self._root = ParentBased( + _InternalAwsXRayRemoteSampler( + resource=resource, + endpoint=endpoint, + polling_interval=polling_interval, + log_level=log_level, + ) + ) + + @override + def should_sample( + self, + parent_context: Context | None, + trace_id: int, + name: str, + kind: SpanKind | None = None, + attributes: Attributes | None = None, + links: Sequence["Link"] | None = None, + trace_state: TraceState | None = None, + ) -> "SamplingResult": + return self._root.should_sample( + parent_context, + trace_id, + name, + kind=kind, + attributes=attributes, + links=links, + trace_state=trace_state, + ) + + # pylint: disable=no-self-use + @override + def get_description(self) -> str: + return f"AwsXRayRemoteSampler{{root:{self._root.get_description()}}}" + + +# WORK IN PROGRESS +# +# _InternalAwsXRayRemoteSampler contains all core XRay Sampler Functionality, +# however it is NOT Parent-based (e.g. Sample logic runs for each span) +# Not intended for external use, use Parent-based `AwsXRayRemoteSampler` instead. +class _InternalAwsXRayRemoteSampler(Sampler): + """ + Remote Sampler for OpenTelemetry that gets sampling configurations from AWS X-Ray + + Args: + resource: OpenTelemetry Resource (Required) + endpoint: proxy endpoint for AWS X-Ray Sampling (Optional) + polling_interval: Polling interval for getSamplingRules call (Optional) + log_level: custom log level configuration for remote sampler (Optional) + """ + + def __init__( + self, + resource: Resource, + endpoint: str | None = None, + polling_interval: int | None = None, + log_level: str | None = None, + ): + # Override default log level + if log_level is not None: + _logger.setLevel(log_level) + + if endpoint is None: + _logger.info( + "`endpoint` is `None`. Defaulting to %s", + DEFAULT_SAMPLING_PROXY_ENDPOINT, + ) + endpoint = DEFAULT_SAMPLING_PROXY_ENDPOINT + if polling_interval is None or polling_interval < 10: + _logger.info( + "`polling_interval` is `None` or too small. Defaulting to %s", + DEFAULT_RULES_POLLING_INTERVAL_SECONDS, + ) + polling_interval = DEFAULT_RULES_POLLING_INTERVAL_SECONDS + + self.__xray_client = _AwsXRaySamplingClient( + endpoint, log_level=log_level + ) + + self.__polling_interval = polling_interval + self.__rule_polling_jitter = random.uniform(0.0, 5.0) + + if resource is not None: + self.__resource = resource # pylint: disable=W0238 + else: + _logger.warning( + "OTel Resource provided is `None`. Defaulting to empty resource" + ) + self.__resource = Resource.get_empty() # pylint: disable=W0238 + + # Schedule the next rule poll now + # Python Timers only run once, so they need to be recreated for every poll + self._rules_timer = Timer(0, self.__start_sampling_rule_poller) + self._rules_timer.daemon = True # Ensures that when the main thread exits, the Timer threads are killed + self._rules_timer.start() + + # (TODO) set up the target poller to go off once after the default interval. Subsequent polls may use new intervals. + + # pylint: disable=no-self-use + @override + def should_sample( + self, + parent_context: Context | None, + trace_id: int, + name: str, + kind: SpanKind | None = None, + attributes: Attributes | None = None, + links: Sequence["Link"] | None = None, + trace_state: TraceState | None = None, + ) -> "SamplingResult": + return SamplingResult( + decision=Decision.DROP, + attributes=attributes, + trace_state=trace_state, + ) + + # pylint: disable=no-self-use + @override + def get_description(self) -> str: + description = ( + "_InternalAwsXRayRemoteSampler{remote sampling with AWS X-Ray}" + ) + return description + + def __get_and_update_sampling_rules(self) -> None: + sampling_rules = self.__xray_client.get_sampling_rules() # pylint: disable=W0612 # noqa: F841 + # (TODO) update rules cache with sampling rules + + def __start_sampling_rule_poller(self) -> None: + self.__get_and_update_sampling_rules() + # Schedule the next sampling rule poll + self._rules_timer = Timer( + self.__polling_interval + self.__rule_polling_jitter, + self.__start_sampling_rule_poller, + ) + self._rules_timer.daemon = True + self._rules_timer.start() diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-0.txt b/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-0.txt index 0861269324..e5986b6ada 100644 --- a/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-0.txt +++ b/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-0.txt @@ -6,10 +6,12 @@ pluggy==1.5.0 py-cpuinfo==9.0.0 pytest==7.4.4 pytest-benchmark==4.0.0 +requests==2.32.3 tomli==2.0.1 typing_extensions==4.12.2 wrapt==1.16.0 zipp==3.19.2 -opentelemetry-sdk==1.12 # when updating, also update in pyproject.toml +opentelemetry-api==1.23 # when updating, also update in pyproject.toml +opentelemetry-sdk==1.23 # when updating, also update in pyproject.toml -e sdk-extension/opentelemetry-sdk-extension-aws diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-1.txt b/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-1.txt index 222c3f1b67..997a373383 100644 --- a/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-1.txt +++ b/sdk-extension/opentelemetry-sdk-extension-aws/test-requirements-1.txt @@ -6,6 +6,7 @@ pluggy==1.5.0 py-cpuinfo==9.0.0 pytest==7.4.4 pytest-benchmark==4.0.0 +requests==2.32.3 tomli==2.0.1 typing_extensions==4.12.2 wrapt==1.16.0 diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/__init__.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/_mock_clock.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/_mock_clock.py new file mode 100644 index 0000000000..0229f03b42 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/_mock_clock.py @@ -0,0 +1,37 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import datetime + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._clock import _Clock + + +class MockClock(_Clock): + def __init__(self, dt: datetime.datetime = datetime.datetime.now()): + self.time_now = dt + super() + + def now(self) -> datetime.datetime: + return self.time_now + + def add_time(self, seconds: float) -> None: + self.time_now += self.time_delta(seconds) + + def set_time(self, dt: datetime.datetime) -> None: + self.time_now = dt diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample-2.json b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample-2.json new file mode 100644 index 0000000000..6bf24ebac9 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample-2.json @@ -0,0 +1,48 @@ +{ + "NextToken": null, + "SamplingRuleRecords": [ + { + "CreatedAt": 1.676038494E9, + "ModifiedAt": 1.676038494E9, + "SamplingRule": { + "Attributes": { + "foo": "bar", + "abc": "1234" + }, + "FixedRate": 0.05, + "HTTPMethod": "*", + "Host": "*", + "Priority": 10000, + "ReservoirSize": 100, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-east-1:999999999999:sampling-rule/Default", + "RuleName": "Default", + "ServiceName": "*", + "ServiceType": "*", + "URLPath": "*", + "Version": 1 + } + }, + { + "CreatedAt": 1.67799933E9, + "ModifiedAt": 1.67799933E9, + "SamplingRule": { + "Attributes": { + "abc": "1234" + }, + "FixedRate": 0.11, + "HTTPMethod": "*", + "Host": "*", + "Priority": 20, + "ReservoirSize": 1, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + "RuleName": "test", + "ServiceName": "*", + "ServiceType": "*", + "URLPath": "*", + "Version": 1 + } + } + ] +} \ No newline at end of file diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample.json b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample.json new file mode 100644 index 0000000000..a0d3c5ba21 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-rules-response-sample.json @@ -0,0 +1,65 @@ +{ + "NextToken": null, + "SamplingRuleRecords": [ + { + "CreatedAt": 1.67799933E9, + "ModifiedAt": 1.67799933E9, + "SamplingRule": { + "Attributes": { + "foo": "bar", + "doo": "baz" + }, + "FixedRate": 0.05, + "HTTPMethod": "*", + "Host": "*", + "Priority": 1000, + "ReservoirSize": 10, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-west-2:123456789000:sampling-rule/Rule1", + "RuleName": "Rule1", + "ServiceName": "*", + "ServiceType": "AWS::Foo::Bar", + "URLPath": "*", + "Version": 1 + } + }, + { + "CreatedAt": 0.0, + "ModifiedAt": 1.611564245E9, + "SamplingRule": { + "Attributes": {}, + "FixedRate": 0.05, + "HTTPMethod": "*", + "Host": "*", + "Priority": 10000, + "ReservoirSize": 1, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-west-2:123456789000:sampling-rule/Default", + "RuleName": "Default", + "ServiceName": "*", + "ServiceType": "*", + "URLPath": "*", + "Version": 1 + } + }, + { + "CreatedAt": 1.676038494E9, + "ModifiedAt": 1.676038494E9, + "SamplingRule": { + "Attributes": {}, + "FixedRate": 0.2, + "HTTPMethod": "GET", + "Host": "*", + "Priority": 1, + "ReservoirSize": 10, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-west-2:123456789000:sampling-rule/Rule2", + "RuleName": "Rule2", + "ServiceName": "FooBar", + "ServiceType": "*", + "URLPath": "/foo/bar", + "Version": 1 + } + } + ] +} \ No newline at end of file diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-targets-response-sample.json b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-targets-response-sample.json new file mode 100644 index 0000000000..498fe1505b --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/get-sampling-targets-response-sample.json @@ -0,0 +1,20 @@ +{ + "LastRuleModification": 1707551387.0, + "SamplingTargetDocuments": [ + { + "FixedRate": 0.10, + "Interval": 10, + "ReservoirQuota": 30, + "ReservoirQuotaTTL": 1707764006.0, + "RuleName": "test" + }, + { + "FixedRate": 0.05, + "Interval": 10, + "ReservoirQuota": 0, + "ReservoirQuotaTTL": 1707764006.0, + "RuleName": "Default" + } + ], + "UnprocessedStatistics": [] +} \ No newline at end of file diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-rules-response-sample.json b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-rules-response-sample.json new file mode 100644 index 0000000000..a5c0d2cb5b --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-rules-response-sample.json @@ -0,0 +1,45 @@ +{ + "NextToken": null, + "SamplingRuleRecords": [ + { + "CreatedAt": 1.676038494E9, + "ModifiedAt": 1.676038494E9, + "SamplingRule": { + "Attributes": {}, + "FixedRate": 1.0, + "HTTPMethod": "*", + "Host": "*", + "Priority": 10000, + "ReservoirSize": 0, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-east-1:999999999999:sampling-rule/Default", + "RuleName": "Default", + "ServiceName": "*", + "ServiceType": "*", + "URLPath": "*", + "Version": 1 + } + }, + { + "CreatedAt": 1.67799933E9, + "ModifiedAt": 1.67799933E9, + "SamplingRule": { + "Attributes": { + "abc": "1234" + }, + "FixedRate": 0, + "HTTPMethod": "*", + "Host": "*", + "Priority": 20, + "ReservoirSize": 0, + "ResourceARN": "*", + "RuleARN": "arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + "RuleName": "test", + "ServiceName": "*", + "ServiceType": "*", + "URLPath": "*", + "Version": 1 + } + } + ] +} \ No newline at end of file diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-targets-response-sample.json b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-targets-response-sample.json new file mode 100644 index 0000000000..244bf0d06b --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/data/test-remote-sampler_sampling-targets-response-sample.json @@ -0,0 +1,20 @@ +{ + "LastRuleModification": 1707551387.0, + "SamplingTargetDocuments": [ + { + "FixedRate": 0.0, + "Interval": 100000, + "ReservoirQuota": 100000, + "ReservoirQuotaTTL": 9999999999.0, + "RuleName": "test" + }, + { + "FixedRate": 0.0, + "Interval": 1000, + "ReservoirQuota": 100, + "ReservoirQuotaTTL": 9999999999.0, + "RuleName": "Default" + } + ], + "UnprocessedStatistics": [] +} \ No newline at end of file diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_remote_sampler.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_remote_sampler.py new file mode 100644 index 0000000000..2eb236b3cd --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_remote_sampler.py @@ -0,0 +1,204 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import os +from logging import DEBUG +from unittest import TestCase +from unittest.mock import patch + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler.aws_xray_remote_sampler import ( + _AwsXRayRemoteSampler, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace.sampling import Decision + +TEST_DIR = os.path.dirname(os.path.realpath(__file__)) +DATA_DIR = os.path.join(TEST_DIR, "data") + + +def create_spans( + sampled_array, thread_id, span_attributes, remote_sampler, number_of_spans +): + sampled = 0 + for _ in range(0, number_of_spans): + if ( + remote_sampler.should_sample( + None, 0, "name", attributes=span_attributes + ).decision + != Decision.DROP + ): + sampled += 1 + sampled_array[thread_id] = sampled + + +def mocked_requests_get(*args, **kwargs): + class MockResponse: + def __init__(self, json_data, status_code): + self.json_data = json_data + self.status_code = status_code + + def json(self): + return self.json_data + + if kwargs["url"] == "http://127.0.0.1:2000/GetSamplingRules": + with open( + f"{DATA_DIR}/test-remote-sampler_sampling-rules-response-sample.json", + encoding="UTF-8", + ) as file: + sample_response = json.load(file) + file.close() + return MockResponse(sample_response, 200) + if kwargs["url"] == "http://127.0.0.1:2000/SamplingTargets": + with open( + f"{DATA_DIR}/test-remote-sampler_sampling-targets-response-sample.json", + encoding="UTF-8", + ) as file: + sample_response = json.load(file) + file.close() + return MockResponse(sample_response, 200) + return MockResponse(None, 404) + + +class TestAwsXRayRemoteSampler(TestCase): + def setUp(self): + self.rs = None + + def tearDown(self): + # Clean up timers + if self.rs is not None: + self.rs._root._root._rules_timer.cancel() + + @patch( + "opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client._AwsXRaySamplingClient.get_sampling_rules", + return_value=None, + ) + def test_create_remote_sampler_with_empty_resource( + self, mocked_get_sampling_rules + ): + self.rs = _AwsXRayRemoteSampler(resource=Resource.get_empty()) + self.assertIsNotNone(self.rs._root._root._rules_timer) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__polling_interval, + 300, + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__xray_client + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource + ) + + @patch( + "opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client._AwsXRaySamplingClient.get_sampling_rules", + return_value=None, + ) + def test_create_remote_sampler_with_populated_resource( + self, mocked_get_sampling_rules + ): + self.rs = _AwsXRayRemoteSampler( + resource=Resource.create( + { + "service.name": "test-service-name", + "cloud.platform": "test-cloud-platform", + } + ) + ) + self.assertIsNotNone(self.rs._root._root._rules_timer) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__polling_interval, + 300, + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__xray_client + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource + ) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource.attributes[ + "service.name" + ], + "test-service-name", + ) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource.attributes[ + "cloud.platform" + ], + "test-cloud-platform", + ) + + @patch( + "opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client._AwsXRaySamplingClient.get_sampling_rules", + return_value=None, + ) + def test_create_remote_sampler_with_all_fields_populated( + self, mocked_get_sampling_rules + ): + self.rs = _AwsXRayRemoteSampler( + resource=Resource.create( + { + "service.name": "test-service-name", + "cloud.platform": "test-cloud-platform", + } + ), + endpoint="http://abc.com", + polling_interval=120, + log_level=DEBUG, + ) + self.assertIsNotNone(self.rs._root._root._rules_timer) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__polling_interval, + 120, + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__xray_client + ) + self.assertIsNotNone( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource + ) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__xray_client._AwsXRaySamplingClient__get_sampling_rules_endpoint, + "http://abc.com/GetSamplingRules", + ) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource.attributes[ + "service.name" + ], + "test-service-name", + ) + self.assertEqual( + self.rs._root._root._InternalAwsXRayRemoteSampler__resource.attributes[ + "cloud.platform" + ], + "test-cloud-platform", + ) + + @patch( + "opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client._AwsXRaySamplingClient.get_sampling_rules", + return_value=None, + ) + def test_get_description(self, mocked_get_sampling_rules) -> str: + self.rs: _AwsXRayRemoteSampler = _AwsXRayRemoteSampler( + resource=Resource.create({"service.name": "dummy_name"}) + ) + self.assertEqual( + self.rs.get_description(), + "AwsXRayRemoteSampler{root:ParentBased{root:_InternalAwsXRayRemoteSampler{remote sampling with AWS X-Ray},remoteParentSampled:AlwaysOnSampler,remoteParentNotSampled:AlwaysOffSampler,localParentSampled:AlwaysOnSampler,localParentNotSampled:AlwaysOffSampler}}", # noqa: E501 + ) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_sampling_client.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_sampling_client.py new file mode 100644 index 0000000000..53c8abc312 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_aws_xray_sampling_client.py @@ -0,0 +1,227 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import json +import os +from logging import getLogger +from unittest import TestCase +from unittest.mock import patch + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client import ( + _AwsXRaySamplingClient, +) + +SAMPLING_CLIENT_LOGGER_NAME = ( + "opentelemetry.sdk.extension.aws.trace.sampler._aws_xray_sampling_client" +) +_sampling_client_logger = getLogger(SAMPLING_CLIENT_LOGGER_NAME) + +TEST_DIR = os.path.dirname(os.path.realpath(__file__)) +DATA_DIR = os.path.join(TEST_DIR, "data") + + +class TestAwsXRaySamplingClient(TestCase): + @patch("requests.Session.post") + def test_get_no_sampling_rules(self, mock_post=None): + mock_post.return_value.configure_mock( + **{"json.return_value": {"SamplingRuleRecords": []}} + ) + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + sampling_rules = client.get_sampling_rules() + self.assertTrue(len(sampling_rules) == 0) + + @patch("requests.Session.post") + def test_get_invalid_responses(self, mock_post=None): + mock_post.return_value.configure_mock(**{"json.return_value": {}}) + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + with self.assertLogs(_sampling_client_logger, level="ERROR"): + sampling_rules = client.get_sampling_rules() + self.assertTrue(len(sampling_rules) == 0) + + @patch("requests.Session.post") + def test_get_sampling_rule_missing_in_records(self, mock_post=None): + mock_post.return_value.configure_mock( + **{"json.return_value": {"SamplingRuleRecords": [{}]}} + ) + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + with self.assertLogs(_sampling_client_logger, level="ERROR"): + sampling_rules = client.get_sampling_rules() + self.assertTrue(len(sampling_rules) == 0) + + @patch("requests.Session.post") + def test_default_values_used_when_missing_properties_in_sampling_rule( + self, mock_post=None + ): + mock_post.return_value.configure_mock( + **{ + "json.return_value": { + "SamplingRuleRecords": [{"SamplingRule": {}}] + } + } + ) + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + sampling_rules = client.get_sampling_rules() + self.assertTrue(len(sampling_rules) == 1) + + sampling_rule = sampling_rules[0] + self.assertEqual(sampling_rule.Attributes, {}) + self.assertEqual(sampling_rule.FixedRate, 0.0) + self.assertEqual(sampling_rule.HTTPMethod, "") + self.assertEqual(sampling_rule.Host, "") + self.assertEqual(sampling_rule.Priority, 10001) + self.assertEqual(sampling_rule.ReservoirSize, 0) + self.assertEqual(sampling_rule.ResourceARN, "") + self.assertEqual(sampling_rule.RuleARN, "") + self.assertEqual(sampling_rule.RuleName, "") + self.assertEqual(sampling_rule.ServiceName, "") + self.assertEqual(sampling_rule.ServiceType, "") + self.assertEqual(sampling_rule.URLPath, "") + self.assertEqual(sampling_rule.Version, 0) + + @patch("requests.Session.post") + def test_get_correct_number_of_sampling_rules(self, mock_post=None): + sampling_records = [] + with open( + f"{DATA_DIR}/get-sampling-rules-response-sample.json", + encoding="UTF-8", + ) as file: + sample_response = json.load(file) + sampling_records = sample_response["SamplingRuleRecords"] + mock_post.return_value.configure_mock( + **{"json.return_value": sample_response} + ) + file.close() + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + sampling_rules = client.get_sampling_rules() + self.assertEqual(len(sampling_rules), 3) + self.assertEqual(len(sampling_rules), len(sampling_records)) + self.validate_match_sampling_rules_properties_with_records( + sampling_rules, sampling_records + ) + + def validate_match_sampling_rules_properties_with_records( + self, sampling_rules, sampling_records + ): + for _, (sampling_rule, sampling_record) in enumerate( + zip(sampling_rules, sampling_records) + ): + self.assertIsNotNone(sampling_rule.Attributes) + self.assertEqual( + sampling_rule.Attributes, + sampling_record["SamplingRule"]["Attributes"], + ) + self.assertIsNotNone(sampling_rule.FixedRate) + self.assertEqual( + sampling_rule.FixedRate, + sampling_record["SamplingRule"]["FixedRate"], + ) + self.assertIsNotNone(sampling_rule.HTTPMethod) + self.assertEqual( + sampling_rule.HTTPMethod, + sampling_record["SamplingRule"]["HTTPMethod"], + ) + self.assertIsNotNone(sampling_rule.Host) + self.assertEqual( + sampling_rule.Host, sampling_record["SamplingRule"]["Host"] + ) + self.assertIsNotNone(sampling_rule.Priority) + self.assertEqual( + sampling_rule.Priority, + sampling_record["SamplingRule"]["Priority"], + ) + self.assertIsNotNone(sampling_rule.ReservoirSize) + self.assertEqual( + sampling_rule.ReservoirSize, + sampling_record["SamplingRule"]["ReservoirSize"], + ) + self.assertIsNotNone(sampling_rule.ResourceARN) + self.assertEqual( + sampling_rule.ResourceARN, + sampling_record["SamplingRule"]["ResourceARN"], + ) + self.assertIsNotNone(sampling_rule.RuleARN) + self.assertEqual( + sampling_rule.RuleARN, + sampling_record["SamplingRule"]["RuleARN"], + ) + self.assertIsNotNone(sampling_rule.RuleName) + self.assertEqual( + sampling_rule.RuleName, + sampling_record["SamplingRule"]["RuleName"], + ) + self.assertIsNotNone(sampling_rule.ServiceName) + self.assertEqual( + sampling_rule.ServiceName, + sampling_record["SamplingRule"]["ServiceName"], + ) + self.assertIsNotNone(sampling_rule.ServiceType) + self.assertEqual( + sampling_rule.ServiceType, + sampling_record["SamplingRule"]["ServiceType"], + ) + self.assertIsNotNone(sampling_rule.URLPath) + self.assertEqual( + sampling_rule.URLPath, + sampling_record["SamplingRule"]["URLPath"], + ) + self.assertIsNotNone(sampling_rule.Version) + self.assertEqual( + sampling_rule.Version, + sampling_record["SamplingRule"]["Version"], + ) + + @patch("requests.Session.post") + def test_get_sampling_targets(self, mock_post=None): + with open( + f"{DATA_DIR}/get-sampling-targets-response-sample.json", + encoding="UTF-8", + ) as file: + sample_response = json.load(file) + mock_post.return_value.configure_mock( + **{"json.return_value": sample_response} + ) + file.close() + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + sampling_targets_response = client.get_sampling_targets(statistics=[]) + self.assertEqual( + len(sampling_targets_response.SamplingTargetDocuments), 2 + ) + self.assertEqual( + len(sampling_targets_response.UnprocessedStatistics), 0 + ) + self.assertEqual( + sampling_targets_response.LastRuleModification, 1707551387.0 + ) + + @patch("requests.Session.post") + def test_get_invalid_sampling_targets(self, mock_post=None): + mock_post.return_value.configure_mock( + **{ + "json.return_value": { + "LastRuleModification": None, + "SamplingTargetDocuments": None, + "UnprocessedStatistics": None, + } + } + ) + client = _AwsXRaySamplingClient("http://127.0.0.1:2000") + sampling_targets_response = client.get_sampling_targets(statistics=[]) + self.assertEqual(sampling_targets_response.SamplingTargetDocuments, []) + self.assertEqual(sampling_targets_response.UnprocessedStatistics, []) + self.assertEqual(sampling_targets_response.LastRuleModification, 0.0) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_clock.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_clock.py new file mode 100644 index 0000000000..803b35c650 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_clock.py @@ -0,0 +1,34 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from unittest import TestCase + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._clock import _Clock + + +class TestClock(TestCase): + def test_from_timestamp(self): + pass + + def test_time_delta(self): + clock = _Clock() + dt = clock.from_timestamp(1707551387.0) + delta = clock.time_delta(3600) + new_dt = dt + delta + self.assertTrue(new_dt.timestamp() - dt.timestamp() == 3600) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule.py new file mode 100644 index 0000000000..1cb4f1f865 --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule.py @@ -0,0 +1,106 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from unittest import TestCase + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_rule import ( + _SamplingRule, +) + + +class TestSamplingRule(TestCase): + def test_sampling_rule_ordering(self): + rule1 = _SamplingRule(Priority=1, RuleName="abcdef", Version=1) + rule2 = _SamplingRule(Priority=100, RuleName="A", Version=1) + rule3 = _SamplingRule(Priority=100, RuleName="Abc", Version=1) + rule4 = _SamplingRule(Priority=100, RuleName="ab", Version=1) + rule5 = _SamplingRule(Priority=100, RuleName="abc", Version=1) + rule6 = _SamplingRule(Priority=200, RuleName="abcdef", Version=1) + + self.assertTrue(rule1 < rule2 < rule3 < rule4 < rule5 < rule6) + + def test_sampling_rule_equality(self): + sampling_rule = _SamplingRule( + Attributes={"abc": "123", "def": "4?6", "ghi": "*89"}, + FixedRate=0.11, + HTTPMethod="GET", + Host="localhost", + Priority=20, + ReservoirSize=1, + ResourceARN="*", + RuleARN="arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + RuleName="test", + ServiceName="myServiceName", + ServiceType="AWS::EKS::Container", + URLPath="/helloworld", + Version=1, + ) + + sampling_rule_attr_unordered = _SamplingRule( + Attributes={"ghi": "*89", "abc": "123", "def": "4?6"}, + FixedRate=0.11, + HTTPMethod="GET", + Host="localhost", + Priority=20, + ReservoirSize=1, + ResourceARN="*", + RuleARN="arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + RuleName="test", + ServiceName="myServiceName", + ServiceType="AWS::EKS::Container", + URLPath="/helloworld", + Version=1, + ) + + self.assertTrue(sampling_rule == sampling_rule_attr_unordered) + + sampling_rule_updated = _SamplingRule( + Attributes={"ghi": "*89", "abc": "123", "def": "4?6"}, + FixedRate=0.11, + HTTPMethod="GET", + Host="localhost", + Priority=20, + ReservoirSize=1, + ResourceARN="*", + RuleARN="arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + RuleName="test", + ServiceName="myServiceName", + ServiceType="AWS::EKS::Container", + URLPath="/helloworld_new", + Version=1, + ) + + sampling_rule_updated_2 = _SamplingRule( + Attributes={"abc": "128", "def": "4?6", "ghi": "*89"}, + FixedRate=0.11, + HTTPMethod="GET", + Host="localhost", + Priority=20, + ReservoirSize=1, + ResourceARN="*", + RuleARN="arn:aws:xray:us-east-1:999999999999:sampling-rule/test", + RuleName="test", + ServiceName="myServiceName", + ServiceType="AWS::EKS::Container", + URLPath="/helloworld", + Version=1, + ) + + self.assertFalse(sampling_rule == sampling_rule_updated) + self.assertFalse(sampling_rule == sampling_rule_updated_2) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule_applier.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule_applier.py new file mode 100644 index 0000000000..1097301b9a --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_rule_applier.py @@ -0,0 +1,26 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +from unittest import TestCase + +TEST_DIR = os.path.dirname(os.path.realpath(__file__)) +DATA_DIR = os.path.join(TEST_DIR, "data") + +CLIENT_ID = "12345678901234567890abcd" + + +# pylint: disable=no-member +class TestSamplingRuleApplier(TestCase): + pass diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_statistics_document.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_statistics_document.py new file mode 100644 index 0000000000..f2f7a82f0b --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_statistics_document.py @@ -0,0 +1,55 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +import datetime +from unittest import TestCase + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_statistics_document import ( + _SamplingStatisticsDocument, +) + +from ._mock_clock import MockClock + + +class TestSamplingStatisticsDocument(TestCase): + def test_sampling_statistics_document_inputs(self): + statistics = _SamplingStatisticsDocument("", "") + self.assertEqual(statistics.ClientID, "") + self.assertEqual(statistics.RuleName, "") + self.assertEqual(statistics.BorrowCount, 0) + self.assertEqual(statistics.SampleCount, 0) + self.assertEqual(statistics.RequestCount, 0) + + statistics = _SamplingStatisticsDocument( + "client_id", "rule_name", 1, 2, 3 + ) + self.assertEqual(statistics.ClientID, "client_id") + self.assertEqual(statistics.RuleName, "rule_name") + self.assertEqual(statistics.RequestCount, 1) + self.assertEqual(statistics.BorrowCount, 2) + self.assertEqual(statistics.SampleCount, 3) + + clock = MockClock(datetime.datetime.fromtimestamp(1707551387.0)) + snapshot = statistics.snapshot(clock) + self.assertEqual(snapshot.get("ClientID"), "client_id") + self.assertEqual(snapshot.get("RuleName"), "rule_name") + self.assertEqual(snapshot.get("Timestamp"), 1707551387.0) + self.assertEqual(snapshot.get("RequestCount"), 1) + self.assertEqual(snapshot.get("BorrowCount"), 2) + self.assertEqual(snapshot.get("SampleCount"), 3) diff --git a/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_target.py b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_target.py new file mode 100644 index 0000000000..055aea19ed --- /dev/null +++ b/sdk-extension/opentelemetry-sdk-extension-aws/tests/trace/sampler/test_sampling_target.py @@ -0,0 +1,65 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Includes work from: +# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. +# SPDX-License-Identifier: Apache-2.0 + +from unittest import TestCase + +# pylint: disable=no-name-in-module +from opentelemetry.sdk.extension.aws.trace.sampler._sampling_target import ( + _SamplingTargetResponse, +) + + +class TestSamplingTarget(TestCase): + def test_sampling_target_response_with_none_inputs(self): + target_response = _SamplingTargetResponse(None, None, None) + self.assertEqual(target_response.LastRuleModification, 0.0) + self.assertEqual(target_response.SamplingTargetDocuments, []) + self.assertEqual(target_response.UnprocessedStatistics, []) + + def test_sampling_target_response_with_invalid_inputs(self): + target_response = _SamplingTargetResponse(1.0, [{}], [{}]) + self.assertEqual(target_response.LastRuleModification, 1.0) + self.assertEqual(len(target_response.SamplingTargetDocuments), 1) + self.assertEqual( + target_response.SamplingTargetDocuments[0].FixedRate, 0 + ) + self.assertEqual( + target_response.SamplingTargetDocuments[0].Interval, None + ) + self.assertEqual( + target_response.SamplingTargetDocuments[0].ReservoirQuota, None + ) + self.assertEqual( + target_response.SamplingTargetDocuments[0].ReservoirQuotaTTL, None + ) + self.assertEqual( + target_response.SamplingTargetDocuments[0].RuleName, "" + ) + + self.assertEqual(len(target_response.UnprocessedStatistics), 1) + self.assertEqual( + target_response.UnprocessedStatistics[0].ErrorCode, "" + ) + self.assertEqual(target_response.UnprocessedStatistics[0].Message, "") + self.assertEqual(target_response.UnprocessedStatistics[0].RuleName, "") + + target_response = _SamplingTargetResponse( + 1.0, [{"foo": "bar"}], [{"dog": "cat"}] + ) + self.assertEqual(len(target_response.SamplingTargetDocuments), 0) + self.assertEqual(len(target_response.UnprocessedStatistics), 0) diff --git a/tox.ini b/tox.ini index 379735d408..854c3e7884 100644 --- a/tox.ini +++ b/tox.ini @@ -429,7 +429,7 @@ envlist = generate generate-workflows shellcheck - ruff + precommit typecheck [testenv] @@ -728,6 +728,7 @@ deps = ; FIXME: add coverage testing allowlist_externals = sh + pytest setenv = ; override CORE_REPO_SHA via env variable when testing other branches/commits than main @@ -1023,6 +1024,7 @@ allowlist_externals = {toxinidir}/scripts/generate_instrumentation_bootstrap.py {toxinidir}/scripts/generate_instrumentation_readme.py {toxinidir}/scripts/generate_instrumentation_metapackage.py + pytest commands = {toxinidir}/scripts/generate_instrumentation_bootstrap.py @@ -1045,7 +1047,7 @@ commands_pre = commands = sh -c "find {toxinidir} -name \*.sh | xargs shellcheck --severity=warning" -[testenv:ruff] +[testenv:{precommit,ruff}] basepython: python3 deps = -c {toxinidir}/dev-requirements.txt @@ -1060,7 +1062,7 @@ deps = {[testenv]test_deps} {toxinidir}/opentelemetry-instrumentation {toxinidir}/util/opentelemetry-util-http - {toxinidir}/util/opentelemetry-util-genai + {toxinidir}/util/opentelemetry-util-genai[fsspec] {toxinidir}/instrumentation-genai/opentelemetry-instrumentation-vertexai[instruments] {toxinidir}/instrumentation-genai/opentelemetry-instrumentation-google-genai[instruments] {toxinidir}/instrumentation/opentelemetry-instrumentation-aiokafka[instruments] diff --git a/util/opentelemetry-util-genai/CHANGELOG.md b/util/opentelemetry-util-genai/CHANGELOG.md index 6209a70d6f..f56cd5e100 100644 --- a/util/opentelemetry-util-genai/CHANGELOG.md +++ b/util/opentelemetry-util-genai/CHANGELOG.md @@ -5,4 +5,19 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## Unreleased \ No newline at end of file +## Unreleased + +## Version 0.1b0 (2025-09-24) + +- Add completion hook to genai utils to implement semconv v1.37. + + Includes a hook implementation using + [`fsspec`](https://filesystem-spec.readthedocs.io/en/latest/) to support uploading to various + pluggable backends. + + ([#3780](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3780)) + ([#3752](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3752)) + ([#3759](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3759)) + ([#3763](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3763)) +- Add a utility to parse the `OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT` environment variable. + Add `gen_ai_latest_experimental` as a new value to the Sem Conv stability flag ([#3716](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3716)). diff --git a/util/opentelemetry-util-genai/README.rst b/util/opentelemetry-util-genai/README.rst index 711ebf97bc..4c10b7d36b 100644 --- a/util/opentelemetry-util-genai/README.rst +++ b/util/opentelemetry-util-genai/README.rst @@ -1,5 +1,5 @@ OpenTelemetry Util for GenAI -======================= +============================ The GenAI Utils package will include boilerplate and helpers to standardize instrumentation for Generative AI. diff --git a/util/opentelemetry-util-genai/pyproject.toml b/util/opentelemetry-util-genai/pyproject.toml index 280da37d58..2c21acd9a7 100644 --- a/util/opentelemetry-util-genai/pyproject.toml +++ b/util/opentelemetry-util-genai/pyproject.toml @@ -30,10 +30,12 @@ dependencies = [ "opentelemetry-api>=1.31.0", ] +[project.entry-points.opentelemetry_genai_completion_hook] +fsspec_upload = "opentelemetry.util.genai._fsspec_upload:fsspec_completion_upload_hook" + [project.optional-dependencies] -test = [ - "pytest>=7.0.0", -] +test = ["pytest>=7.0.0"] +fsspec = ["fsspec>=2025.9.0"] [project.urls] Homepage = "https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/util/opentelemetry-util-genai" diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/__init__.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/__init__.py new file mode 100644 index 0000000000..2dd571caf8 --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/__init__.py @@ -0,0 +1,42 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import annotations + +from os import environ + +from opentelemetry.util.genai.completion_hook import ( + CompletionHook, + _NoOpCompletionHook, +) +from opentelemetry.util.genai.environment_variables import ( + OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH, +) + + +def fsspec_completion_upload_hook() -> CompletionHook: + # If fsspec is not installed the hook will be a no-op. + try: + # pylint: disable=import-outside-toplevel + from opentelemetry.util.genai._fsspec_upload.completion_hook import ( + FsspecUploadCompletionHook, + ) + except ImportError: + return _NoOpCompletionHook() + + base_path = environ.get(OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH) + if not base_path: + return _NoOpCompletionHook() + + return FsspecUploadCompletionHook(base_path=base_path) diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/completion_hook.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/completion_hook.py new file mode 100644 index 0000000000..56d7b0dcd6 --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/_fsspec_upload/completion_hook.py @@ -0,0 +1,235 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from __future__ import annotations + +import json +import logging +import posixpath +import threading +from base64 import b64encode +from concurrent.futures import Future, ThreadPoolExecutor +from contextlib import ExitStack +from dataclasses import asdict, dataclass +from functools import partial +from time import time +from typing import Any, Callable, Final, Literal, TextIO, cast +from uuid import uuid4 + +import fsspec + +from opentelemetry._logs import LogRecord +from opentelemetry.semconv._incubating.attributes import gen_ai_attributes +from opentelemetry.trace import Span +from opentelemetry.util.genai import types +from opentelemetry.util.genai.completion_hook import CompletionHook + +GEN_AI_INPUT_MESSAGES_REF: Final = ( + gen_ai_attributes.GEN_AI_INPUT_MESSAGES + "_ref" +) +GEN_AI_OUTPUT_MESSAGES_REF: Final = ( + gen_ai_attributes.GEN_AI_OUTPUT_MESSAGES + "_ref" +) +GEN_AI_SYSTEM_INSTRUCTIONS_REF: Final = ( + gen_ai_attributes.GEN_AI_SYSTEM_INSTRUCTIONS + "_ref" +) + + +_logger = logging.getLogger(__name__) + + +@dataclass +class Completion: + inputs: list[types.InputMessage] + outputs: list[types.OutputMessage] + system_instruction: list[types.MessagePart] + + +@dataclass +class CompletionRefs: + inputs_ref: str + outputs_ref: str + system_instruction_ref: str + + +JsonEncodeable = list[dict[str, Any]] + +# mapping of upload path to function computing upload data dict +UploadData = dict[str, Callable[[], JsonEncodeable]] + + +def fsspec_open(urlpath: str, mode: Literal["w"]) -> TextIO: + """typed wrapper around `fsspec.open`""" + return cast(TextIO, fsspec.open(urlpath, mode)) # pyright: ignore[reportUnknownMemberType] + + +class FsspecUploadCompletionHook(CompletionHook): + """An completion hook using ``fsspec`` to upload to external storage + + This function can be used as the + :func:`~opentelemetry.util.genai.completion_hook.load_completion_hook` implementation by + setting :envvar:`OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK` to ``fsspec_upload``. + :envvar:`OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH` must be configured to specify the + base path for uploads. + + Both the ``fsspec`` and ``opentelemetry-sdk`` packages should be installed, or a no-op + implementation will be used instead. You can use ``opentelemetry-util-genai[fsspec]`` + as a requirement to achieve this. + """ + + def __init__( + self, + *, + base_path: str, + max_size: int = 20, + ) -> None: + self._base_path = base_path + self._max_size = max_size + + # Use a ThreadPoolExecutor for its queueing and thread management. The semaphore + # limits the number of queued tasks. If the queue is full, data will be dropped. + self._executor = ThreadPoolExecutor(max_workers=max_size) + self._semaphore = threading.BoundedSemaphore(max_size) + + def _submit_all(self, upload_data: UploadData) -> None: + def done(future: Future[None]) -> None: + try: + future.result() + except Exception: # pylint: disable=broad-except + _logger.exception("fsspec uploader failed") + finally: + self._semaphore.release() + + for path, json_encodeable in upload_data.items(): + # could not acquire, drop data + if not self._semaphore.acquire(blocking=False): # pylint: disable=consider-using-with + _logger.warning( + "fsspec upload queue is full, dropping upload %s", + path, + ) + continue + + try: + fut = self._executor.submit( + self._do_upload, path, json_encodeable + ) + fut.add_done_callback(done) + except RuntimeError: + _logger.info( + "attempting to upload file after FsspecUploadCompletionHook.shutdown() was already called" + ) + self._semaphore.release() + + def _calculate_ref_path(self) -> CompletionRefs: + # TODO: experimental with using the trace_id and span_id, or fetching + # gen_ai.response.id from the active span. + + uuid_str = str(uuid4()) + return CompletionRefs( + inputs_ref=posixpath.join( + self._base_path, f"{uuid_str}_inputs.json" + ), + outputs_ref=posixpath.join( + self._base_path, f"{uuid_str}_outputs.json" + ), + system_instruction_ref=posixpath.join( + self._base_path, f"{uuid_str}_system_instruction.json" + ), + ) + + @staticmethod + def _do_upload( + path: str, json_encodeable: Callable[[], JsonEncodeable] + ) -> None: + with fsspec_open(path, "w") as file: + json.dump( + json_encodeable(), + file, + separators=(",", ":"), + cls=Base64JsonEncoder, + ) + + def on_completion( + self, + *, + inputs: list[types.InputMessage], + outputs: list[types.OutputMessage], + system_instruction: list[types.MessagePart], + span: Span | None = None, + log_record: LogRecord | None = None, + **kwargs: Any, + ) -> None: + completion = Completion( + inputs=inputs, + outputs=outputs, + system_instruction=system_instruction, + ) + # generate the paths to upload to + ref_names = self._calculate_ref_path() + + def to_dict( + dataclass_list: list[types.InputMessage] + | list[types.OutputMessage] + | list[types.MessagePart], + ) -> JsonEncodeable: + return [asdict(dc) for dc in dataclass_list] + + self._submit_all( + { + # Use partial to defer as much as possible to the background threads + ref_names.inputs_ref: partial(to_dict, completion.inputs), + ref_names.outputs_ref: partial(to_dict, completion.outputs), + ref_names.system_instruction_ref: partial( + to_dict, completion.system_instruction + ), + }, + ) + + # stamp the refs on telemetry + references = { + GEN_AI_INPUT_MESSAGES_REF: ref_names.inputs_ref, + GEN_AI_OUTPUT_MESSAGES_REF: ref_names.outputs_ref, + GEN_AI_SYSTEM_INSTRUCTIONS_REF: ref_names.system_instruction_ref, + } + if span: + span.set_attributes(references) + if log_record: + log_record.attributes = { + **(log_record.attributes or {}), + **references, + } + + def shutdown(self, *, timeout_sec: float = 10.0) -> None: + deadline = time() + timeout_sec + + # Wait for all tasks to finish to flush the queue + with ExitStack() as stack: + for _ in range(self._max_size): + remaining = deadline - time() + if not self._semaphore.acquire(timeout=remaining): # pylint: disable=consider-using-with + # Couldn't finish flushing all uploads before timeout + break + + stack.callback(self._semaphore.release) + + # Queue is flushed and blocked, start shutdown + self._executor.shutdown(wait=False) + + +class Base64JsonEncoder(json.JSONEncoder): + def default(self, o: Any) -> Any: + if isinstance(o, bytes): + return b64encode(o).decode() + return super().default(o) diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/completion_hook.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/completion_hook.py new file mode 100644 index 0000000000..76d199ce84 --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/completion_hook.py @@ -0,0 +1,123 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""This module defines the generic hooks for GenAI content completion + +The hooks are specified as part of semconv in `Uploading content to external storage +`__. + +This module defines the `CompletionHook` type that custom implementations should implement, and a +`load_completion_hook` function to load it from an entry point. +""" + +from __future__ import annotations + +import logging +from os import environ +from typing import Any, Protocol, cast, runtime_checkable + +from opentelemetry._logs import LogRecord +from opentelemetry.trace import Span +from opentelemetry.util._importlib_metadata import ( + entry_points, # pyright: ignore[reportUnknownVariableType] +) +from opentelemetry.util.genai import types +from opentelemetry.util.genai.environment_variables import ( + OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK, +) + +_logger = logging.getLogger(__name__) + + +@runtime_checkable +class CompletionHook(Protocol): + """A hook to be called on completion of a GenAI operation. + + This is the interface for a hook that can be + used to capture GenAI content on completion. The hook is a + callable that takes the inputs, outputs, and system instruction of a + GenAI interaction, as well as the span and log record associated with + it. + + The hook can be used to upload the content to any external storage, + such as a database, a file system, or a cloud storage service. + + The span and log_record arguments should be provided based on the content capturing mode + :func:`~opentelemetry.util.genai.utils.get_content_capturing_mode`. + + Args: + inputs: The inputs of the GenAI interaction. + outputs: The outputs of the GenAI interaction. + system_instruction: The system instruction of the GenAI + interaction. + span: The span associated with the GenAI interaction. + log_record: The event log associated with the GenAI + interaction. + """ + + def on_completion( + self, + *, + inputs: list[types.InputMessage], + outputs: list[types.OutputMessage], + system_instruction: list[types.MessagePart], + span: Span | None = None, + log_record: LogRecord | None = None, + ) -> None: ... + + +class _NoOpCompletionHook(CompletionHook): + def on_completion(self, **kwargs: Any) -> None: + return None + + +def load_completion_hook() -> CompletionHook: + """Load the completion hook from entry point or return a noop implementation + + This function loads an completion hook from the entry point group + ``opentelemetry_genai_completion_hook`` with name coming from + :envvar:`OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK`. If one can't be found, returns a no-op + implementation. + """ + hook_name = environ.get(OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK, None) + if not hook_name: + return _NoOpCompletionHook() + + for entry_point in entry_points( # pyright: ignore[reportUnknownVariableType] + group="opentelemetry_genai_completion_hook" + ): + name = cast(str, entry_point.name) # pyright: ignore[reportUnknownMemberType] + try: + if hook_name != name: + continue + + hook = entry_point.load()() # pyright: ignore[reportUnknownVariableType, reportUnknownMemberType] + if not isinstance(hook, CompletionHook): + _logger.debug( + "%s is not a valid CompletionHook. Using noop", name + ) + continue + + _logger.debug("Using CompletionHook %s", name) + return hook + + except Exception: # pylint: disable=broad-except + _logger.exception( + "CompletionHook %s configuration failed. Using noop", name + ) + + return _NoOpCompletionHook() + + +__all__ = ["CompletionHook", "load_completion_hook"] diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/environment_variables.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/environment_variables.py new file mode 100644 index 0000000000..0ff089d82a --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/environment_variables.py @@ -0,0 +1,45 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT = ( + "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT" +) + +OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK = ( + "OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK" +) +""" +.. envvar:: OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK +""" + +OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH = ( + "OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH" +) +""" +.. envvar:: OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH + +An :func:`fsspec.open` compatible URI/path for uploading prompts and responses. Can be a local +path like ``/path/to/prompts`` or a cloud storage URI such as ``gs://my_bucket``. For more +information, see + +* `Instantiate a file-system + `_ for supported values and how to + install support for additional backend implementations. +* `Configuration + `_ for + configuring a backend with environment variables. +* `URL Chaining + `_ for advanced + use cases. +""" diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/types.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/types.py new file mode 100644 index 0000000000..569e7e7e00 --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/types.py @@ -0,0 +1,71 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from dataclasses import dataclass +from enum import Enum +from typing import Any, Literal, Optional, Union + + +class ContentCapturingMode(Enum): + # Do not capture content (default). + NO_CONTENT = 0 + # Only capture content in spans. + SPAN_ONLY = 1 + # Only capture content in events. + EVENT_ONLY = 2 + # Capture content in both spans and events. + SPAN_AND_EVENT = 3 + + +@dataclass() +class ToolCall: + arguments: Any + name: str + id: Optional[str] + type: Literal["tool_call"] = "tool_call" + + +@dataclass() +class ToolCallResponse: + response: Any + id: Optional[str] + type: Literal["tool_call_response"] = "tool_call_response" + + +FinishReason = Literal[ + "content_filter", "error", "length", "stop", "tool_calls" +] + + +@dataclass() +class Text: + content: str + type: Literal["text"] = "text" + + +MessagePart = Union[Text, ToolCall, ToolCallResponse, Any] + + +@dataclass() +class InputMessage: + role: str + parts: list[MessagePart] + + +@dataclass() +class OutputMessage: + role: str + parts: list[MessagePart] + finish_reason: Union[str, FinishReason] diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py new file mode 100644 index 0000000000..91cb9221f1 --- /dev/null +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/utils.py @@ -0,0 +1,56 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +import os + +from opentelemetry.instrumentation._semconv import ( + _OpenTelemetrySemanticConventionStability, + _OpenTelemetryStabilitySignalType, + _StabilityMode, +) +from opentelemetry.util.genai.environment_variables import ( + OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, +) +from opentelemetry.util.genai.types import ContentCapturingMode + +logger = logging.getLogger(__name__) + + +def get_content_capturing_mode() -> ContentCapturingMode: + """This function should not be called when GEN_AI stability mode is set to DEFAULT. + + When the GEN_AI stability mode is DEFAULT this function will raise a ValueError -- see the code below.""" + envvar = os.environ.get(OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT) + if ( + _OpenTelemetrySemanticConventionStability._get_opentelemetry_stability_opt_in_mode( + _OpenTelemetryStabilitySignalType.GEN_AI, + ) + == _StabilityMode.DEFAULT + ): + raise ValueError( + "This function should never be called when StabilityMode is default." + ) + if not envvar: + return ContentCapturingMode.NO_CONTENT + try: + return ContentCapturingMode[envvar.upper()] + except KeyError: + logger.warning( + "%s is not a valid option for `%s` environment variable. Must be one of %s. Defaulting to `NO_CONTENT`.", + envvar, + OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, + ", ".join(e.name for e in ContentCapturingMode), + ) + return ContentCapturingMode.NO_CONTENT diff --git a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/version.py b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/version.py index e7bf4a48eb..29e61950cc 100644 --- a/util/opentelemetry-util-genai/src/opentelemetry/util/genai/version.py +++ b/util/opentelemetry-util-genai/src/opentelemetry/util/genai/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.1b0.dev" +__version__ = "0.2b0.dev" diff --git a/util/opentelemetry-util-genai/test-requirements.txt b/util/opentelemetry-util-genai/test-requirements.txt index 91d59f42f5..34a1ad14a2 100644 --- a/util/opentelemetry-util-genai/test-requirements.txt +++ b/util/opentelemetry-util-genai/test-requirements.txt @@ -1,2 +1,3 @@ pytest==7.4.4 --e opentelemetry-instrumentation \ No newline at end of file +fsspec==2025.9.0 +-e opentelemetry-instrumentation diff --git a/util/opentelemetry-util-genai/tests/test_completion_hook.py b/util/opentelemetry-util-genai/tests/test_completion_hook.py new file mode 100644 index 0000000000..619441b2ae --- /dev/null +++ b/util/opentelemetry-util-genai/tests/test_completion_hook.py @@ -0,0 +1,101 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import logging +from dataclasses import dataclass +from typing import Any, Callable +from unittest import TestCase +from unittest.mock import Mock, patch + +from opentelemetry.util.genai.completion_hook import ( + CompletionHook, + _NoOpCompletionHook, + load_completion_hook, +) +from opentelemetry.util.genai.environment_variables import ( + OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK, +) + + +class FakeCompletionHook(CompletionHook): + def on_completion(self, **kwargs: Any): + pass + + +class InvalidCompletionHook: + pass + + +@dataclass +class FakeEntryPoint: + name: str + load: Callable[[], type[CompletionHook]] + + +class TestCompletionHook(TestCase): + @patch.dict("os.environ", {}) + def test_load_completion_hook_noop(self): + self.assertIsInstance(load_completion_hook(), _NoOpCompletionHook) + + @patch( + "opentelemetry.util.genai.completion_hook.entry_points", + ) + @patch.dict( + "os.environ", {OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK: "my-hook"} + ) + def test_load_completion_hook_custom(self, mock_entry_points: Mock): + mock_entry_points.return_value = [ + FakeEntryPoint("my-hook", lambda: FakeCompletionHook) + ] + + self.assertIsInstance(load_completion_hook(), FakeCompletionHook) + + @patch("opentelemetry.util.genai.completion_hook.entry_points") + @patch.dict( + "os.environ", {OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK: "my-hook"} + ) + def test_load_completion_hook_invalid(self, mock_entry_points: Mock): + mock_entry_points.return_value = [ + FakeEntryPoint("my-hook", lambda: InvalidCompletionHook) + ] + + with self.assertLogs(level=logging.DEBUG) as logs: + self.assertIsInstance(load_completion_hook(), _NoOpCompletionHook) + self.assertEqual(len(logs.output), 1) + self.assertIn( + "is not a valid CompletionHook. Using noop", logs.output[0] + ) + + @patch("opentelemetry.util.genai.completion_hook.entry_points") + @patch.dict( + "os.environ", {OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK: "my-hook"} + ) + def test_load_completion_hook_error(self, mock_entry_points: Mock): + def load(): + raise RuntimeError("error") + + mock_entry_points.return_value = [FakeEntryPoint("my-hook", load)] + + self.assertIsInstance(load_completion_hook(), _NoOpCompletionHook) + + @patch("opentelemetry.util.genai.completion_hook.entry_points") + @patch.dict( + "os.environ", {OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK: "my-hook"} + ) + def test_load_completion_hook_not_found(self, mock_entry_points: Mock): + mock_entry_points.return_value = [ + FakeEntryPoint("other-hook", lambda: FakeCompletionHook) + ] + + self.assertIsInstance(load_completion_hook(), _NoOpCompletionHook) diff --git a/util/opentelemetry-util-genai/tests/test_fsspec_upload.py b/util/opentelemetry-util-genai/tests/test_fsspec_upload.py new file mode 100644 index 0000000000..96c76d8458 --- /dev/null +++ b/util/opentelemetry-util-genai/tests/test_fsspec_upload.py @@ -0,0 +1,320 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +# pylint: disable=import-outside-toplevel,no-name-in-module +import importlib +import logging +import sys +import threading +from contextlib import contextmanager +from dataclasses import asdict +from typing import Any +from unittest import TestCase +from unittest.mock import MagicMock, patch + +import fsspec + +from opentelemetry._logs import LogRecord +from opentelemetry.test.test_base import TestBase +from opentelemetry.util.genai import types +from opentelemetry.util.genai._fsspec_upload.completion_hook import ( + FsspecUploadCompletionHook, +) +from opentelemetry.util.genai.completion_hook import ( + _NoOpCompletionHook, + load_completion_hook, +) + +# Use MemoryFileSystem for testing +# https://filesystem-spec.readthedocs.io/en/latest/api.html#fsspec.implementations.memory.MemoryFileSystem +BASE_PATH = "memory://" + + +@patch.dict( + "os.environ", + { + "OTEL_INSTRUMENTATION_GENAI_COMPLETION_HOOK": "fsspec_upload", + "OTEL_INSTRUMENTATION_GENAI_UPLOAD_BASE_PATH": BASE_PATH, + }, + clear=True, +) +class TestFsspecEntryPoint(TestCase): + def test_fsspec_entry_point(self): + self.assertIsInstance( + load_completion_hook(), FsspecUploadCompletionHook + ) + + def test_fsspec_entry_point_no_fsspec(self): + """Tests that the a no-op uploader is used when fsspec is not installed""" + + from opentelemetry.util.genai import _fsspec_upload + + # Simulate fsspec imports failing + with patch.dict( + sys.modules, + {"opentelemetry.util.genai._fsspec_upload.completion_hook": None}, + ): + importlib.reload(_fsspec_upload) + self.assertIsInstance(load_completion_hook(), _NoOpCompletionHook) + + +MAXSIZE = 5 +FAKE_INPUTS = [ + types.InputMessage( + role="user", + parts=[types.Text(content="What is the capital of France?")], + ), +] +FAKE_OUTPUTS = [ + types.OutputMessage( + role="assistant", + parts=[types.Text(content="Paris")], + finish_reason="stop", + ), +] +FAKE_SYSTEM_INSTRUCTION = [types.Text(content="You are a helpful assistant.")] + + +class ThreadSafeMagicMock(MagicMock): + def __init__(self, *args, **kwargs) -> None: + self.__dict__["_lock"] = threading.Lock() + super().__init__(*args, **kwargs) + + def _increment_mock_call(self, /, *args, **kwargs): + with self.__dict__["_lock"]: + super()._increment_mock_call(*args, **kwargs) + + +class TestFsspecUploadCompletionHook(TestCase): + def setUp(self): + self._fsspec_patcher = patch( + "opentelemetry.util.genai._fsspec_upload.completion_hook.fsspec" + ) + self.mock_fsspec = self._fsspec_patcher.start() + self.mock_fsspec.open = ThreadSafeMagicMock() + + self.hook = FsspecUploadCompletionHook( + base_path=BASE_PATH, + max_size=MAXSIZE, + ) + + def tearDown(self) -> None: + self.hook.shutdown() + self._fsspec_patcher.stop() + + @contextmanager + def block_upload(self): + unblock_upload = threading.Event() + + def blocked_upload(*args: Any): + unblock_upload.wait() + return MagicMock() + + try: + self.mock_fsspec.open.side_effect = blocked_upload + yield + finally: + unblock_upload.set() + + def test_shutdown_no_items(self): + self.hook.shutdown() + + def test_upload_then_shutdown(self): + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + # all items should be consumed + self.hook.shutdown() + + self.assertEqual( + self.mock_fsspec.open.call_count, + 3, + "should have uploaded 3 files", + ) + + def test_upload_blocked(self): + with self.block_upload(): + # fill the queue + for _ in range(MAXSIZE): + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + + self.assertLessEqual( + self.mock_fsspec.open.call_count, + MAXSIZE, + f"uploader should only be called {MAXSIZE=} times", + ) + + with self.assertLogs(level=logging.WARNING) as logs: + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + + self.assertIn( + "fsspec upload queue is full, dropping upload", logs.output[0] + ) + + def test_shutdown_timeout(self): + with self.block_upload(): + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + + # shutdown should timeout and return even though there are still items in the queue + self.hook.shutdown(timeout_sec=0.01) + + def test_failed_upload_logs(self): + self.mock_fsspec.open.side_effect = RuntimeError("failed to upload") + + with self.assertLogs(level=logging.ERROR) as logs: + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + self.hook.shutdown() + + self.assertIn("fsspec uploader failed", logs.output[0]) + + def test_upload_after_shutdown_logs(self): + self.hook.shutdown() + with self.assertLogs(level=logging.INFO) as logs: + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + ) + self.assertEqual(len(logs.output), 3) + self.assertIn( + "attempting to upload file after FsspecUploadCompletionHook.shutdown() was already called", + logs.output[0], + ) + + +class FsspecUploaderTest(TestCase): + def test_upload(self): + FsspecUploadCompletionHook._do_upload( + "memory://my_path", + lambda: [asdict(fake_input) for fake_input in FAKE_INPUTS], + ) + + with fsspec.open("memory://my_path", "r") as file: + self.assertEqual( + file.read(), + '[{"role":"user","parts":[{"content":"What is the capital of France?","type":"text"}]}]', + ) + + +class TestFsspecUploadCompletionHookIntegration(TestBase): + def setUp(self): + super().setUp() + self.hook = FsspecUploadCompletionHook(base_path=BASE_PATH) + + def tearDown(self): + super().tearDown() + self.hook.shutdown() + + def assert_fsspec_equal(self, path: str, value: str) -> None: + with fsspec.open(path, "r") as file: + self.assertEqual(file.read(), value) + + def test_upload_completions(self): + tracer = self.tracer_provider.get_tracer(__name__) + log_record = LogRecord() + + with tracer.start_as_current_span("chat mymodel") as span: + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + span=span, + log_record=log_record, + ) + self.hook.shutdown() + + finished_spans = self.get_finished_spans() + self.assertEqual(len(finished_spans), 1) + span = finished_spans[0] + + # span attributes, log attributes, and log body have refs + for attributes in [ + span.attributes, + log_record.attributes, + ]: + for ref_key in [ + "gen_ai.input.messages_ref", + "gen_ai.output.messages_ref", + "gen_ai.system_instructions_ref", + ]: + self.assertIn(ref_key, attributes) + + self.assert_fsspec_equal( + span.attributes["gen_ai.input.messages_ref"], + '[{"role":"user","parts":[{"content":"What is the capital of France?","type":"text"}]}]', + ) + self.assert_fsspec_equal( + span.attributes["gen_ai.output.messages_ref"], + '[{"role":"assistant","parts":[{"content":"Paris","type":"text"}],"finish_reason":"stop"}]', + ) + self.assert_fsspec_equal( + span.attributes["gen_ai.system_instructions_ref"], + '[{"content":"You are a helpful assistant.","type":"text"}]', + ) + + def test_stamps_empty_log(self): + log_record = LogRecord() + self.hook.on_completion( + inputs=FAKE_INPUTS, + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + log_record=log_record, + ) + + # stamp on both body and attributes + self.assertIn("gen_ai.input.messages_ref", log_record.attributes) + self.assertIn("gen_ai.output.messages_ref", log_record.attributes) + self.assertIn("gen_ai.system_instructions_ref", log_record.attributes) + + def test_upload_bytes(self) -> None: + log_record = LogRecord() + self.hook.on_completion( + inputs=[ + types.InputMessage( + role="user", + parts=[ + types.Text(content="What is the capital of France?"), + {"type": "generic_bytes", "bytes": b"hello"}, + ], + ) + ], + outputs=FAKE_OUTPUTS, + system_instruction=FAKE_SYSTEM_INSTRUCTION, + log_record=log_record, + ) + self.hook.shutdown() + + self.assert_fsspec_equal( + log_record.attributes["gen_ai.input.messages_ref"], + '[{"role":"user","parts":[{"content":"What is the capital of France?","type":"text"},{"type":"generic_bytes","bytes":"aGVsbG8="}]}]', + ) diff --git a/util/opentelemetry-util-genai/tests/test_utils.py b/util/opentelemetry-util-genai/tests/test_utils.py new file mode 100644 index 0000000000..675b6eba5f --- /dev/null +++ b/util/opentelemetry-util-genai/tests/test_utils.py @@ -0,0 +1,83 @@ +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import unittest +from unittest.mock import patch + +from opentelemetry.instrumentation._semconv import ( + OTEL_SEMCONV_STABILITY_OPT_IN, + _OpenTelemetrySemanticConventionStability, +) +from opentelemetry.util.genai.environment_variables import ( + OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT, +) +from opentelemetry.util.genai.types import ContentCapturingMode +from opentelemetry.util.genai.utils import get_content_capturing_mode + + +def patch_env_vars(stability_mode, content_capturing): + def decorator(test_case): + @patch.dict( + os.environ, + { + OTEL_SEMCONV_STABILITY_OPT_IN: stability_mode, + OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT: content_capturing, + }, + ) + def wrapper(*args, **kwargs): + # Reset state. + _OpenTelemetrySemanticConventionStability._initialized = False + _OpenTelemetrySemanticConventionStability._initialize() + return test_case(*args, **kwargs) + + return wrapper + + return decorator + + +class TestVersion(unittest.TestCase): + @patch_env_vars( + stability_mode="gen_ai_latest_experimental", + content_capturing="SPAN_ONLY", + ) + def test_get_content_capturing_mode_parses_valid_envvar(self): # pylint: disable=no-self-use + assert get_content_capturing_mode() == ContentCapturingMode.SPAN_ONLY + + @patch_env_vars( + stability_mode="gen_ai_latest_experimental", content_capturing="" + ) + def test_empty_content_capturing_envvar(self): # pylint: disable=no-self-use + assert get_content_capturing_mode() == ContentCapturingMode.NO_CONTENT + + @patch_env_vars(stability_mode="default", content_capturing="True") + def test_get_content_capturing_mode_raises_exception_when_semconv_stability_default( + self, + ): # pylint: disable=no-self-use + with self.assertRaises(ValueError): + get_content_capturing_mode() + + @patch_env_vars( + stability_mode="gen_ai_latest_experimental", + content_capturing="INVALID_VALUE", + ) + def test_get_content_capturing_mode_raises_exception_on_invalid_envvar( + self, + ): # pylint: disable=no-self-use + with self.assertLogs(level="WARNING") as cm: + assert ( + get_content_capturing_mode() == ContentCapturingMode.NO_CONTENT + ) + self.assertEqual(len(cm.output), 1) + self.assertIn("INVALID_VALUE is not a valid option for ", cm.output[0]) diff --git a/util/opentelemetry-util-http/src/opentelemetry/util/http/version.py b/util/opentelemetry-util-http/src/opentelemetry/util/http/version.py index 6dcebda201..46aee9202b 100644 --- a/util/opentelemetry-util-http/src/opentelemetry/util/http/version.py +++ b/util/opentelemetry-util-http/src/opentelemetry/util/http/version.py @@ -12,4 +12,4 @@ # See the License for the specific language governing permissions and # limitations under the License. -__version__ = "0.58b0.dev" +__version__ = "0.59b0.dev" diff --git a/uv.lock b/uv.lock index 99b7a51738..7d46cd4836 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 1 +revision = 3 requires-python = ">=3.9" resolution-markers = [ "python_full_version >= '3.13'", @@ -73,6 +73,7 @@ members = [ "opentelemetry-propagator-aws-xray", "opentelemetry-propagator-ot-trace", 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07:59:39 -0700 Subject: [PATCH 03/30] Add missing import --- .../opentelemetry/instrumentation/openai_agents/__init__.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py index c3824af1b2..d7df1f3cd0 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -70,6 +70,9 @@ GenAIProvider, GenAIToolType, ) +from opentelemetry.instrumentation.openai_agents.genai_semantic_processor import ( + GenAISemanticProcessor, +) from opentelemetry.instrumentation.openai_agents.package import _instruments from opentelemetry.semconv.schemas import Schemas from opentelemetry.trace import get_tracer From 4bfbcd35731be225e63f01ef21171d3aa0239d38 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 08:00:35 -0700 Subject: [PATCH 04/30] Re-add readme after tox generate --- instrumentation-genai/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/instrumentation-genai/README.md b/instrumentation-genai/README.md index 464ba0237e..63307b08c2 100644 --- a/instrumentation-genai/README.md +++ b/instrumentation-genai/README.md @@ -1,9 +1,9 @@ | Instrumentation | Supported Packages | Metrics support | Semconv status | | --------------- | ------------------ | --------------- | -------------- | -| [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development | -| [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development | -| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agent >= 0.1.0 | Yes | development | -| [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development | -| [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development | -| [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development | +| [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development +| [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development +| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agent >= 0.1.0 | Yes | development +| [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development +| [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development +| [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development \ No newline at end of file From 51bd1780e30ed3c7f940658b150e4a874e1a0069 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 11:01:52 -0700 Subject: [PATCH 05/30] Delete instrumentation-genai/opentelemetry-instrumentation-openai-agents/= delete unnecessary file --- .../opentelemetry-instrumentation-openai-agents/= | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/= diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/= b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/= deleted file mode 100644 index e69de29bb2..0000000000 From 327acf80213c85993cec5645b9967a1a410c5d8f Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 11:02:11 -0700 Subject: [PATCH 06/30] Delete instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml delete unnecessary file --- .../events.yaml | 46 ------------------- 1 file changed, 46 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml deleted file mode 100644 index 756979a048..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/events.yaml +++ /dev/null @@ -1,46 +0,0 @@ -groups: - - id: event.gen_ai.client.inference.operation.details - name: gen_ai.client.inference.operation.details - type: event - stability: development - brief: > - Describes the details of a GenAI completion request including chat history - and parameters. - note: > - This event is opt-in and could be used to store input and output details - independently from traces. - extends: attributes.gen_ai.inference.client - - - id: event.gen_ai.evaluation.result - name: gen_ai.evaluation.result - type: event - stability: development - brief: > - This event captures the result of evaluating GenAI output for quality, accuracy, or other characteristics. - This event SHOULD be parented to GenAI operation span being evaluated when possible - or set `gen_ai.response.id` when span id is not available. - attributes: - - ref: gen_ai.evaluation.name - requirement_level: required - - ref: gen_ai.evaluation.score.value - requirement_level: - conditionally_required: if applicable - - ref: gen_ai.evaluation.score.label - requirement_level: - conditionally_required: if applicable - - ref: gen_ai.evaluation.explanation - requirement_level: recommended - - ref: gen_ai.response.id - requirement_level: - recommended: when available - note: | - The unique identifier assigned to the specific - completion being evaluated. This attribute helps correlate the evaluation - event with the corresponding operation when span id is not available. - - ref: error.type - requirement_level: - conditionally_required: "if the operation ended in an error" - note: | - The `error.type` SHOULD match the error code returned by the Generative AI Evaluation provider or the client library, - the canonical name of exception that occurred, or another low-cardinality error identifier. - Instrumentations SHOULD document the list of errors they report. \ No newline at end of file From 69262d6cdbc3e0de324d2bfba7e04e16932d372b Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 11:02:28 -0700 Subject: [PATCH 07/30] Delete instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml delete unnecessary file --- .../metrics.yaml | 107 ------------------ 1 file changed, 107 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml deleted file mode 100644 index 4d22a9b4a7..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/metrics.yaml +++ /dev/null @@ -1,107 +0,0 @@ -groups: - - id: metric_attributes.gen_ai - type: attribute_group - brief: 'This group describes GenAI metrics attributes' - attributes: - - ref: server.address - brief: GenAI server address. - requirement_level: recommended - - ref: server.port - brief: GenAI server port. - requirement_level: - conditionally_required: If `server.address` is set. - - ref: gen_ai.response.model - requirement_level: recommended - - ref: gen_ai.request.model - requirement_level: - conditionally_required: If available. - - ref: gen_ai.provider.name - requirement_level: required - - ref: gen_ai.operation.name - requirement_level: required - - id: metric_attributes.gen_ai.server - type: attribute_group - brief: 'This group describes GenAI server metrics attributes' - extends: metric_attributes.gen_ai - attributes: - - ref: error.type - requirement_level: - conditionally_required: "if the operation ended in an error" - note: | - The `error.type` SHOULD match the error code returned by the Generative AI service, - the canonical name of exception that occurred, or another low-cardinality error identifier. - Instrumentations SHOULD document the list of errors they report. - - id: metric_attributes.openai - type: attribute_group - brief: 'This group describes GenAI server metrics attributes' - attributes: - - ref: openai.response.service_tier - requirement_level: recommended - - ref: openai.response.system_fingerprint - requirement_level: recommended - - id: metric.gen_ai.client.token.usage - type: metric - metric_name: gen_ai.client.token.usage - annotations: - code_generation: - metric_value_type: int - brief: 'Number of input and output tokens used.' - instrument: histogram - unit: "{token}" - stability: development - extends: metric_attributes.gen_ai - attributes: - - ref: gen_ai.token.type - requirement_level: required - - id: metric.gen_ai.client.operation.duration - type: metric - metric_name: gen_ai.client.operation.duration - annotations: - code_generation: - metric_value_type: double - brief: 'GenAI operation duration.' - instrument: histogram - unit: "s" - stability: development - extends: metric_attributes.gen_ai - attributes: - - ref: error.type - requirement_level: - conditionally_required: "if the operation ended in an error" - note: | - The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, - the canonical name of exception that occurred, or another low-cardinality error identifier. - Instrumentations SHOULD document the list of errors they report. - - id: metric.gen_ai.server.request.duration - type: metric - metric_name: gen_ai.server.request.duration - annotations: - code_generation: - metric_value_type: double - brief: 'Generative AI server request duration such as time-to-last byte or last output token.' - instrument: histogram - unit: "s" - stability: development - extends: metric_attributes.gen_ai.server - - id: metric.gen_ai.server.time_per_output_token - type: metric - metric_name: gen_ai.server.time_per_output_token - annotations: - code_generation: - metric_value_type: double - brief: 'Time per output token generated after the first token for successful responses.' - instrument: histogram - unit: "s" - stability: development - extends: metric_attributes.gen_ai - - id: metric.gen_ai.server.time_to_first_token - type: metric - metric_name: gen_ai.server.time_to_first_token - annotations: - code_generation: - metric_value_type: double - brief: 'Time to generate first token for successful responses.' - instrument: histogram - unit: "s" - stability: development - extends: metric_attributes.gen_ai \ No newline at end of file From d8b67f17d4832e87d02f9c37d67da84db22ed9ef Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 11:02:44 -0700 Subject: [PATCH 08/30] Delete instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml delete unnecessary file --- .../registry.yaml | 593 ------------------ 1 file changed, 593 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml deleted file mode 100644 index 557d50903b..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/registry.yaml +++ /dev/null @@ -1,593 +0,0 @@ -groups: - - id: registry.gen_ai - type: attribute_group - display_name: GenAI Attributes - brief: > - This document defines the attributes used to describe telemetry in the context of Generative Artificial Intelligence (GenAI) Models requests and responses. - attributes: - - id: gen_ai.provider.name - stability: development - type: - members: - - id: openai - stability: development - value: "openai" - brief: '[OpenAI](https://openai.com/)' - - id: gcp.gen_ai - stability: development - value: "gcp.gen_ai" - brief: "Any Google generative AI endpoint" - note: > - May be used when specific backend is unknown. - - id: gcp.vertex_ai - stability: development - value: "gcp.vertex_ai" - brief: "[Vertex AI](https://cloud.google.com/vertex-ai)" - note: > - Used when accessing the 'aiplatform.googleapis.com' endpoint. - - id: gcp.gemini - stability: development - value: "gcp.gemini" - brief: '[Gemini](https://cloud.google.com/products/gemini)' - note: > - Used when accessing the 'generativelanguage.googleapis.com' endpoint. - Also known as the AI Studio API. - - id: anthropic - stability: development - value: "anthropic" - brief: '[Anthropic](https://www.anthropic.com/)' - - id: cohere - stability: development - value: "cohere" - brief: '[Cohere](https://cohere.com/)' - - id: azure.ai.inference - stability: development - value: "azure.ai.inference" - brief: 'Azure AI Inference' - - id: azure.ai.openai - stability: development - value: "azure.ai.openai" - brief: '[Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service/)' - - id: ibm.watsonx.ai - stability: development - value: "ibm.watsonx.ai" - brief: '[IBM Watsonx AI](https://www.ibm.com/products/watsonx-ai)' - - id: aws.bedrock - stability: development - value: "aws.bedrock" - brief: '[AWS Bedrock](https://aws.amazon.com/bedrock)' - - id: perplexity - stability: development - value: "perplexity" - brief: '[Perplexity](https://www.perplexity.ai/)' - - id: x_ai - stability: development - value: "x_ai" - brief: '[xAI](https://x.ai/)' - - id: deepseek - stability: development - value: "deepseek" - brief: '[DeepSeek](https://www.deepseek.com/)' - - id: groq - stability: development - value: "groq" - brief: '[Groq](https://groq.com/)' - - id: mistral_ai - stability: development - value: "mistral_ai" - brief: '[Mistral AI](https://mistral.ai/)' - - brief: The Generative AI provider as identified by the client - or server instrumentation. - note: | - The attribute SHOULD be set based on the instrumentation's best - knowledge and may differ from the actual model provider. - - Multiple providers, including Azure OpenAI, Gemini, and AI hosting platforms - are accessible using the OpenAI REST API and corresponding client libraries, - but may proxy or host models from different providers. - - The `gen_ai.request.model`, `gen_ai.response.model`, and `server.address` - attributes may help identify the actual system in use. - - The `gen_ai.provider.name` attribute acts as a discriminator that - identifies the GenAI telemetry format flavor specific to that provider - within GenAI semantic conventions. - It SHOULD be set consistently with provider-specific attributes and signals. - For example, GenAI spans, metrics, and events related to AWS Bedrock - should have the `gen_ai.provider.name` set to `aws.bedrock` and include - applicable `aws.bedrock.*` attributes and are not expected to include - `openai.*` attributes. - - id: gen_ai.request.model - stability: development - type: string - brief: The name of the GenAI model a request is being made to. - examples: 'gpt-4' - - - id: gen_ai.request.max_tokens - stability: development - type: int - brief: The maximum number of tokens the model generates for a request. - examples: [100] - - id: gen_ai.request.choice.count - stability: development - type: int - brief: The target number of candidate completions to return. - examples: [3] - - id: gen_ai.request.temperature - stability: development - type: double - brief: The temperature setting for the GenAI request. - examples: [0.0] - - id: gen_ai.request.top_p - stability: development - type: double - brief: The top_p sampling setting for the GenAI request. - examples: [1.0] - - id: gen_ai.request.top_k - stability: development - type: double - brief: The top_k sampling setting for the GenAI request. - examples: [1.0] - - id: gen_ai.request.stop_sequences - stability: development - type: string[] - brief: List of sequences that the model will use to stop generating further tokens. - examples: - - [forest, lived] - - id: gen_ai.request.frequency_penalty - stability: development - type: double - brief: The frequency penalty setting for the GenAI request. - examples: [0.1] - - id: gen_ai.request.presence_penalty - stability: development - type: double - brief: The presence penalty setting for the GenAI request. - examples: [0.1] - - id: gen_ai.request.encoding_formats - stability: development - type: string[] - brief: The encoding formats requested in an embeddings operation, if specified. - examples: - - ['base64'] - - ['float', 'binary'] - note: > - In some GenAI systems the encoding formats are called embedding types. - Also, some GenAI systems only accept a single format per request. - - id: gen_ai.request.seed - stability: development - type: int - brief: Requests with same seed value more likely to return same result. - examples: [100] - - id: gen_ai.response.id - stability: development - type: string - brief: The unique identifier for the completion. - examples: ['chatcmpl-123'] - - id: gen_ai.response.model - stability: development - type: string - brief: The name of the model that generated the response. - examples: ['gpt-4-0613'] - - id: gen_ai.response.finish_reasons - stability: development - type: string[] - brief: Array of reasons the model stopped generating tokens, corresponding to each generation received. - examples: - - [stop] - - [stop, length] - - id: gen_ai.usage.input_tokens - stability: development - type: int - brief: The number of tokens used in the GenAI input (prompt). - examples: [100] - - id: gen_ai.usage.output_tokens - stability: development - type: int - brief: The number of tokens used in the GenAI response (completion). - examples: [180] - - id: gen_ai.token.type - stability: development - type: - members: - - id: input - stability: development - value: "input" - brief: 'Input tokens (prompt, input, etc.)' - - id: completion - stability: development - value: "output" - deprecated: - reason: renamed - renamed_to: "output" - brief: 'Output tokens (completion, response, etc.)' - - id: output - stability: development - value: "output" - brief: 'Output tokens (completion, response, etc.)' - brief: The type of token being counted. - examples: ['input', 'output'] - - id: gen_ai.conversation.id - stability: development - type: string - brief: The unique identifier for a conversation (session, thread), used to store and correlate messages within this conversation. - examples: ["conv_5j66UpCpwteGg4YSxUnt7lPY"] - - id: gen_ai.agent.id - stability: development - type: string - brief: The unique identifier of the GenAI agent. - examples: ['asst_5j66UpCpwteGg4YSxUnt7lPY'] - - id: gen_ai.agent.name - stability: development - type: string - brief: Human-readable name of the GenAI agent provided by the application. - examples: ["Math Tutor", "Fiction Writer"] - - id: gen_ai.agent.description - stability: development - type: string - brief: Free-form description of the GenAI agent provided by the application. - examples: ["Helps with math problems", "Generates fiction stories"] - - id: gen_ai.tool.name - stability: development - type: string - brief: Name of the tool utilized by the agent. - examples: ["Flights"] - - - id: gen_ai.tool.call.id - stability: development - type: string - brief: The tool call identifier. - examples: ['call_mszuSIzqtI65i1wAUOE8w5H4'] - - id: gen_ai.tool.description - stability: development - type: string - brief: The tool description. - examples: ["Multiply two numbers"] - - id: gen_ai.tool.type - stability: development - type: string - brief: Type of the tool utilized by the agent - note: > - Extension: A tool executed on the agent-side to directly call external APIs, bridging the gap between the agent and real-world systems. - Agent-side operations involve actions that are performed by the agent on the server or within the agent's controlled environment. - Function: A tool executed on the client-side, where the agent generates parameters for a predefined function, and the client executes the logic. - Client-side operations are actions taken on the user's end or within the client application. - Datastore: A tool used by the agent to access and query structured or unstructured external data for retrieval-augmented tasks or knowledge updates. - examples: ['function', 'extension', 'datastore'] - - - id: gen_ai.tool.call.arguments - stability: development - type: any - brief: Parameters passed to the tool call. - note: | - > [!WARNING] - > This attribute may contain sensitive information. - - It's expected to be an object - in case a serialized string is available - to the instrumentation, the instrumentation SHOULD do the best effort to - deserialize it to an object. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. - examples: - - | - { - "location": "San Francisco?", - "date": "2025-10-01" - } - - - id: gen_ai.tool.call.result - stability: development - type: any - brief: The result returned by the tool call (if any and if execution was successful). - note: | - > [!WARNING] - > This attribute may contain sensitive information. - - It's expected to be an object - in case a serialized string is available - to the instrumentation, the instrumentation SHOULD do the best effort to - deserialize it to an object. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. - - examples: - - | - { - "temperature_range": { - "high": 75, - "low": 60 - }, - "conditions": "sunny" - } - - - id: gen_ai.tool.definitions - stability: development - type: any - brief: The list of source system tool definitions available to the GenAI agent or model. - note: | - The value of this attribute matches source system tool definition format. - - It's expected to be an array of objects where each object represents a tool definition. In case a serialized string is available - to the instrumentation, the instrumentation SHOULD do the best effort to - deserialize it to an array. When recorded on spans, it MAY be recorded as a JSON string if structured format is not supported and SHOULD be recorded in structured form otherwise. - - Since this attribute could be large, it's NOT RECOMMENDED to populate - it by default. Instrumentations MAY provide a way to enable - populating this attribute. - examples: - - | - [ - { - "type": "function", - "name": "get_current_weather", - "description": "Get the current weather in a given location", - "parameters": { - "type": "object", - "properties": { - "location": { - "type": "string", - "description": "The city and state, e.g. San Francisco, CA" - }, - "unit": { - "type": "string", - "enum": [ - "celsius", - "fahrenheit" - ] - } - }, - "required": [ - "location", - "unit" - ] - } - } - ] - - - id: gen_ai.data_source.id - stability: development - type: string - brief: The data source identifier. - note: > - Data sources are used by AI agents and RAG applications to store grounding data. - A data source may be an external database, object store, document collection, website, or any other storage system used by the GenAI agent or application. - The `gen_ai.data_source.id` SHOULD match the identifier used by the GenAI system rather than a name specific to the external storage, such as a database or - object store. Semantic conventions referencing `gen_ai.data_source.id` MAY also leverage additional attributes, such as `db.*`, to further identify and describe the data source. - examples: ['H7STPQYOND'] - - id: gen_ai.operation.name - stability: development - type: - members: - - id: chat - value: "chat" - brief: 'Chat completion operation such as [OpenAI Chat API](https://platform.openai.com/docs/api-reference/chat)' - stability: development - - id: generate_content - value: "generate_content" - brief: 'Multimodal content generation operation such as [Gemini Generate Content](https://ai.google.dev/api/generate-content)' - stability: development - - id: text_completion - value: "text_completion" - brief: 'Text completions operation such as [OpenAI Completions API (Legacy)](https://platform.openai.com/docs/api-reference/completions)' - stability: development - - id: embeddings - value: "embeddings" - brief: 'Embeddings operation such as [OpenAI Create embeddings API](https://platform.openai.com/docs/api-reference/embeddings/create)' - stability: development - - id: create_agent - value: "create_agent" - brief: 'Create GenAI agent' - stability: development - - id: invoke_agent - value: "invoke_agent" - brief: 'Invoke GenAI agent' - stability: development - - id: execute_tool - value: "execute_tool" - brief: 'Execute a tool' - stability: development - brief: The name of the operation being performed. - note: > - If one of the predefined values applies, but specific system uses a different name it's RECOMMENDED to document it in the semantic - conventions for specific GenAI system and use system-specific name in the instrumentation. - If a different name is not documented, instrumentation libraries SHOULD use applicable predefined value. - - id: gen_ai.output.type - stability: development - type: - members: - - id: text - value: "text" - brief: 'Plain text' - stability: development - - id: json - value: "json" - brief: 'JSON object with known or unknown schema' - stability: development - - id: image - value: "image" - brief: 'Image' - stability: development - - id: speech - value: "speech" - brief: 'Speech' - stability: development - # we might need to record requested and actual output types on the same span/event - # at some point. In this case, we might need to add a new attribute. - # we may also need to record an array of types if multiple are requested/returned. - brief: Represents the content type requested by the client. - note: > - This attribute SHOULD be used when the client requests output of a - specific type. The model may return zero or more outputs of this type. - - This attribute specifies the output modality and not the actual output format. - For example, if an image is requested, the actual output could be a - URL pointing to an image file. - - Additional output format details may be recorded in the future in the - `gen_ai.output.{type}.*` attributes. - - id: gen_ai.embeddings.dimension.count - stability: development - type: int - brief: The number of dimensions the resulting output embeddings should have. - examples: [512, 1024] - - id: gen_ai.system_instructions - stability: development - type: any - brief: The system message or instructions provided to the GenAI model - separately from the chat history. - note: | - This attribute SHOULD be used when the corresponding provider or API - allows to provide system instructions or messages separately from the - chat history. - - Instructions that are part of the chat history SHOULD be recorded in - `gen_ai.input.messages` attribute instead. - - Instrumentations MUST follow [System instructions JSON schema](/docs/gen-ai/gen-ai-system-instructions.json). - - When recorded on spans, it MAY be recorded as a JSON string if structured - format is not supported and SHOULD be recorded in structured form otherwise. - - Instrumentations MAY provide a way for users to filter or truncate - system instructions. - - > [!Warning] - > This attribute may contain sensitive information. - - See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) - section for more details. - examples: - - | - [ - { - "type": "text", - "content": "You are an Agent that greet users, always use greetings tool to respond" - } - ] - - | - [ - { - "type": "text", - "content": "You are a language translator." - }, - { - "type": "text", - "content": "Your mission is to translate text in English to French." - } - ] - - id: gen_ai.input.messages - stability: development - type: any - brief: > - The chat history provided to the model as an input. - note: | - Instrumentations MUST follow [Input messages JSON schema](/docs/gen-ai/gen-ai-input-messages.json). - When the attribute is recorded on events, it MUST be recorded in structured - form. When recorded on spans, it MAY be recorded as a JSON string if structured - format is not supported and SHOULD be recorded in structured form otherwise. - - Messages MUST be provided in the order they were sent to the model. - Instrumentations MAY provide a way for users to filter or truncate - input messages. - - > [!Warning] - > This attribute is likely to contain sensitive information including user/PII data. - - See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) - section for more details. - examples: - - | - [ - { - "role": "user", - "parts": [ - { - "type": "text", - "content": "Weather in Paris?" - } - ] - }, - { - "role": "assistant", - "parts": [ - { - "type": "tool_call", - "id": "call_VSPygqKTWdrhaFErNvMV18Yl", - "name": "get_weather", - "arguments": { - "location": "Paris" - } - } - ] - }, - { - "role": "tool", - "parts": [ - { - "type": "tool_call_response", - "id": " call_VSPygqKTWdrhaFErNvMV18Yl", - "result": "rainy, 57°F" - } - ] - } - ] - - id: gen_ai.output.messages - stability: development - type: any - brief: Messages returned by the model where each message represents - a specific model response (choice, candidate). - note: | - Instrumentations MUST follow [Output messages JSON schema](/docs/gen-ai/gen-ai-output-messages.json) - - Each message represents a single output choice/candidate generated by - the model. Each message corresponds to exactly one generation - (choice/candidate) and vice versa - one choice cannot be split across - multiple messages or one message cannot contain parts from multiple choices. - - When the attribute is recorded on events, it MUST be recorded in structured - form. When recorded on spans, it MAY be recorded as a JSON string if structured - format is not supported and SHOULD be recorded in structured form otherwise. - - Instrumentations MAY provide a way for users to filter or truncate - output messages. - - > [!Warning] - > This attribute is likely to contain sensitive information including user/PII data. - - See [Recording content on attributes](/docs/gen-ai/gen-ai-spans.md#recording-content-on-attributes) - section for more details. - examples: - - | - [ - { - "role": "assistant", - "parts": [ - { - "type": "text", - "content": "The weather in Paris is currently rainy with a temperature of 57°F." - } - ], - "finish_reason": "stop" - } - ] - - id: gen_ai.evaluation.name - stability: development - type: string - brief: The name of the evaluation metric used for the GenAI response. - examples: ["Relevance", "IntentResolution"] - - id: gen_ai.evaluation.score.value - stability: development - type: double - brief: The evaluation score returned by the evaluator. - examples: [4.0] - - id: gen_ai.evaluation.score.label - stability: development - type: string - brief: Human readable label for evaluation. - examples: ["relevant", "not_relevant", "correct", "incorrect", "pass", "fail"] - note: > - This attribute provides a human-readable interpretation of the evaluation score produced by an evaluator. - For example, a score value of 1 could mean "relevant" in one evaluation system and "not relevant" in another, depending on the scoring range and evaluator. - The label SHOULD have low cardinality. - Possible values depend on the evaluation metric and evaluator used; implementations SHOULD document the possible values. - - id: gen_ai.evaluation.explanation - stability: development - type: string - brief: A free-form explanation for the assigned score provided by the evaluator. - examples: ["The response is factually accurate but lacks sufficient detail to fully address the question."] \ No newline at end of file From 61f01cb9eb9643ce9a075ce0df06a1becd9d3b05 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 11:08:36 -0700 Subject: [PATCH 09/30] Delete instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml remove unncessary file --- .../spans.yaml | 337 ------------------ 1 file changed, 337 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml deleted file mode 100644 index 9a914fe5ee..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/spans.yaml +++ /dev/null @@ -1,337 +0,0 @@ -groups: - - id: attributes.gen_ai.common.client - type: attribute_group - stability: development - brief: > - Common attributes for all GenAI spans. - attributes: - - ref: gen_ai.request.model - requirement_level: - conditionally_required: If available. - note: > - The name of the GenAI model a request is being made to. If the model is supplied by a vendor, - then the value must be the exact name of the model requested. If the model is a fine-tuned - custom model, the value should have a more specific name than the base model that's been fine-tuned. - - ref: gen_ai.operation.name - requirement_level: required - - ref: server.address - brief: GenAI server address. - requirement_level: recommended - - ref: server.port - brief: GenAI server port. - requirement_level: - conditionally_required: If `server.address` is set. - - ref: error.type - requirement_level: - conditionally_required: "if the operation ended in an error" - note: | - The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, - the canonical name of exception that occurred, or another low-cardinality error identifier. - Instrumentations SHOULD document the list of errors they report. - - - id: attributes.gen_ai.inference.client - type: attribute_group - stability: development - brief: > - Describes GenAI inference attributes. - extends: attributes.gen_ai.common.client - attributes: - - ref: gen_ai.request.max_tokens - requirement_level: recommended - - ref: gen_ai.request.choice.count - requirement_level: - conditionally_required: if available, in the request, and !=1 - - ref: gen_ai.request.temperature - requirement_level: recommended - - ref: gen_ai.request.top_p - requirement_level: recommended - - ref: gen_ai.request.stop_sequences - requirement_level: recommended - - ref: gen_ai.request.frequency_penalty - requirement_level: recommended - - ref: gen_ai.request.presence_penalty - requirement_level: recommended - - ref: gen_ai.request.seed - requirement_level: - conditionally_required: if applicable and if the request includes a seed - - ref: gen_ai.output.type - requirement_level: - conditionally_required: when applicable and if the request includes an output format. - - ref: gen_ai.response.id - requirement_level: recommended - - ref: gen_ai.response.model - requirement_level: recommended - note: > - If available. The name of the GenAI model that provided the response. If the model is supplied by a vendor, - then the value must be the exact name of the model actually used. If the model is a - fine-tuned custom model, the value should have a more specific name than the base model that's been fine-tuned. - - ref: gen_ai.response.finish_reasons - requirement_level: recommended - - ref: gen_ai.usage.input_tokens - requirement_level: recommended - - ref: gen_ai.usage.output_tokens - requirement_level: recommended - - ref: gen_ai.conversation.id - requirement_level: - conditionally_required: when available - note: | - Instrumentations SHOULD populate conversation id when they have it readily available - for a given operation, for example: - - - when client framework being instrumented manages conversation history - (see [LlamaIndex chat store](https://docs.llamaindex.ai/en/stable/module_guides/storing/chat_stores/)) - - - when instrumenting GenAI client libraries that maintain conversation on the backend side - (see [AWS Bedrock agent sessions](https://docs.aws.amazon.com/bedrock/latest/userguide/agents-session-state.html), - [OpenAI Assistant threads](https://platform.openai.com/docs/api-reference/threads)) - - Application developers that manage conversation history MAY add conversation id to GenAI and other - spans or logs using custom span or log record processors or hooks provided by instrumentation - libraries. - - - ref: gen_ai.system_instructions - requirement_level: opt_in - - ref: gen_ai.input.messages - requirement_level: opt_in - - ref: gen_ai.output.messages - requirement_level: opt_in - - ref: gen_ai.tool.definitions - requirement_level: opt_in - - - id: span.gen_ai.inference.client - type: span - stability: development - span_kind: client - brief: > - This span represents a client call to Generative AI model or service that generates - a response or requests a tool call based on the input prompt. - note: | - **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. - Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format - and MUST follow the overall [guidelines for span names](https://github.com/open-telemetry/opentelemetry-specification/tree/v1.37.0/specification/trace/api.md#span). - - **Span kind** SHOULD be `CLIENT`and MAY be set to `INTERNAL` on spans representing - call to models running in the same process. It's RECOMMENDED to use `CLIENT` kind - when the GenAI system being instrumented usually runs in a different process than its - client or when the GenAI call happens over instrumented protocol such as HTTP. - extends: attributes.gen_ai.inference.client - attributes: - - ref: gen_ai.provider.name - # TODO: Not adding to common attributes because of https://github.com/open-telemetry/weaver/issues/479 - requirement_level: required - - ref: gen_ai.request.top_k - requirement_level: recommended - - - id: attributes.gen_ai.inference.openai_based - extends: attributes.gen_ai.inference.client - type: attribute_group - stability: development - brief: > - Describes attributes that are common to OpenAI-based Generative AI services. - attributes: - - ref: gen_ai.output.type - note: | - This attribute SHOULD be set to the output type requested by the client: - - `json` for structured outputs with defined or undefined schema - - `image` for image output - - `speech` for speech output - - `text` for plain text output - - The attribute specifies the output modality and not the actual output format. - For example, if an image is requested, the actual output could be a - URL pointing to an image file. - - Additional output format details may be recorded in the future in the - `gen_ai.output.{type}.*` attributes. - - - id: span.openai.inference.client - extends: attributes.gen_ai.inference.openai_based - stability: development - span_kind: client - type: span - brief: > - Semantic Conventions for [OpenAI](https://openai.com/) client spans extend - and override the semantic conventions for [Gen AI Spans](gen-ai-spans.md). - note: | - `gen_ai.provider.name` MUST be set to `"openai"` and SHOULD be provided **at span creation time**. - - **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. - attributes: - - ref: gen_ai.request.model - requirement_level: required - - ref: openai.request.service_tier - requirement_level: - conditionally_required: if the request includes a service_tier and the value is not 'auto' - - ref: openai.response.service_tier - requirement_level: - conditionally_required: if the response was received and includes a service_tier - - ref: openai.response.system_fingerprint - requirement_level: recommended - - - id: span.azure.ai.inference.client - extends: attributes.gen_ai.inference.openai_based - stability: development - type: span - span_kind: client - brief: > - Semantic Conventions for [Azure AI Inference](https://learn.microsoft.com/azure/ai-studio/reference/reference-model-inference-api) - client spans extend and override the semantic conventions for [Gen AI Spans](gen-ai-spans.md). - note: | - `gen_ai.provider.name` MUST be set to `"azure.ai.inference"` and SHOULD be provided **at span creation time**. - - **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}` when the - model name is available and `{gen_ai.operation.name}` otherwise. - attributes: - - ref: azure.resource_provider.namespace - note: > - When `azure.resource_provider.namespace` attribute is populated, it MUST - be set to `Microsoft.CognitiveServices` for all operations performed by Azure AI Inference clients. - examples: ["Microsoft.CognitiveServices"] - - ref: gen_ai.usage.input_tokens - brief: > - The number of prompt tokens as reported in the usage prompt_tokens property of the response. - - ref: gen_ai.usage.output_tokens - brief: > - The number of completion tokens as reported in the usage completion_tokens property of the response. - - ref: server.port - requirement_level: - conditionally_required: If not default (443). - - - id: span.gen_ai.embeddings.client - type: span - span_kind: client - stability: development - brief: > - Describes GenAI embeddings span - a request to a Generative AI model or service - that generates an embeddings based on the input. - - The `gen_ai.operation.name` SHOULD be `embeddings`. - - **Span name** SHOULD be `{gen_ai.operation.name} {gen_ai.request.model}`. - extends: attributes.gen_ai.common.client - attributes: - - ref: gen_ai.request.encoding_formats - requirement_level: recommended - - ref: gen_ai.usage.input_tokens - requirement_level: recommended - - ref: gen_ai.embeddings.dimension.count - requirement_level: recommended - - - id: span.gen_ai.create_agent.client - type: span - stability: development - span_kind: client - brief: > - Describes GenAI agent creation and is usually applicable when working - with remote agent services. - note: | - The `gen_ai.operation.name` SHOULD be `create_agent`. - - **Span name** SHOULD be `create_agent {gen_ai.agent.name}`. - Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format. - extends: attributes.gen_ai.common.client - attributes: - - ref: gen_ai.provider.name - requirement_level: required - - ref: gen_ai.agent.id - requirement_level: - conditionally_required: if applicable. - - ref: gen_ai.agent.name - requirement_level: - conditionally_required: If provided by the application. - - ref: gen_ai.agent.description - requirement_level: - conditionally_required: If provided by the application. - - ref: gen_ai.system_instructions - requirement_level: opt_in - note: "" # note is not needed here - - - - id: span.gen_ai.invoke_agent.client - type: span - stability: development - span_kind: client - brief: > - Describes GenAI agent invocation and is usually applicable when working - with remote agent services. - note: | - The `gen_ai.operation.name` SHOULD be `invoke_agent`. - The **span name** SHOULD be `invoke_agent {gen_ai.agent.name}` if `gen_ai.agent.name` is readily available. - When `gen_ai.agent.name` is not available, it SHOULD be `invoke_agent`. - Semantic conventions for individual GenAI systems and frameworks MAY specify different span name format. - extends: attributes.gen_ai.inference.client - attributes: - - ref: gen_ai.provider.name - requirement_level: required - - ref: gen_ai.agent.id - requirement_level: - conditionally_required: if applicable. - - ref: gen_ai.agent.name - requirement_level: - conditionally_required: when available - - ref: gen_ai.agent.description - requirement_level: - conditionally_required: when available - - ref: gen_ai.data_source.id - requirement_level: - conditionally_required: if applicable. - - ref: gen_ai.system_instructions - requirement_level: opt_in - - ref: gen_ai.input.messages - requirement_level: opt_in - - ref: gen_ai.output.messages - requirement_level: opt_in - - - - id: span.gen_ai.execute_tool.internal - type: span - stability: development - span_kind: internal - brief: Describes tool execution span. - note: | - `gen_ai.operation.name` SHOULD be `execute_tool`. - - **Span name** SHOULD be `execute_tool {gen_ai.tool.name}`. - - GenAI instrumentations that are able to instrument tool execution call SHOULD do so. - However, it's common for tools to be executed by the application code. It's recommended - for the application developers to follow this semantic convention for tools invoked - by the application code. - attributes: - - ref: gen_ai.operation.name - requirement_level: required - - ref: gen_ai.tool.name - requirement_level: recommended - - ref: gen_ai.tool.call.id - requirement_level: - recommended: if available - - ref: gen_ai.tool.description - requirement_level: - recommended: if available - - ref: gen_ai.tool.type - requirement_level: - recommended: if available - - ref: gen_ai.tool.call.arguments - requirement_level: opt_in - - ref: gen_ai.tool.call.result - requirement_level: opt_in - - ref: error.type - requirement_level: - conditionally_required: "if the operation ended in an error" - note: | - The `error.type` SHOULD match the error code returned by the Generative AI provider or the client library, - the canonical name of exception that occurred, or another low-cardinality error identifier. - Instrumentations SHOULD document the list of errors they report. - - - id: span.aws.bedrock.client - extends: span.gen_ai.inference.client - stability: development - span_kind: client - type: span - brief: > - Describes an AWS Bedrock operation span. - attributes: - - ref: aws.bedrock.guardrail.id - requirement_level: required - - ref: aws.bedrock.knowledge_base.id - requirement_level: recommended \ No newline at end of file From 7137cab4872fdc75a28dd2944470960e9f12ab0a Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 12:13:55 -0700 Subject: [PATCH 10/30] Basic example and move the original one as quickstart --- .../examples/README.md | 3 +- .../examples/basic_usage.py | 6 -- .../examples/quickstart.py | 71 +++++++++++++++++++ 3 files changed, 73 insertions(+), 7 deletions(-) create mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md index a65d2fc4aa..87d0676c44 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md @@ -4,6 +4,7 @@ This directory contains examples of how to use the OpenAI Agents instrumentation ## Files +- `quickstart.py` - Minimal OpenTelemetry setup and OpenAI chat sample using `OpenAIAgentsInstrumentor` - `basic_usage.py` - Basic example showing how to enable and use the instrumentation - `.env.example` - Example environment variables configuration @@ -21,7 +22,7 @@ This directory contains examples of how to use the OpenAI Agents instrumentation 3. Run the basic example: ```bash - python basic_usage.py + python examples/quickstart.py ``` ## Configuration diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py index 8d26bab29b..a93f0f1a40 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py @@ -1,9 +1,3 @@ -################################ -# pip install git+https://github.com/singankit/opentelemetry-python-contrib.git@main#subdirectory=instrumentation-genai/opentelemetry-instrumentation-openai-agents -# pip install azure-monitor-opentelemetry openai-agents -################################# - - from __future__ import annotations as _annotations import asyncio diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py new file mode 100644 index 0000000000..138a57e7e6 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py @@ -0,0 +1,71 @@ +# pylint: skip-file +import os + +from openai import OpenAI + +# NOTE: OpenTelemetry Python Logs and Events APIs are in beta +from opentelemetry import _events, _logs, metrics, trace +from opentelemetry.exporter.otlp.proto.grpc._log_exporter import ( + OTLPLogExporter, +) +from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import ( + OTLPMetricExporter, +) +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( + OTLPSpanExporter, +) +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk._events import EventLoggerProvider +from opentelemetry.sdk._logs import LoggerProvider +from opentelemetry.sdk._logs.export import BatchLogRecordProcessor +from opentelemetry.sdk.metrics import MeterProvider +from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor + +# configure tracing +trace.set_tracer_provider(TracerProvider()) +trace.get_tracer_provider().add_span_processor( + BatchSpanProcessor(OTLPSpanExporter()) +) + +# configure logging and events +_logs.set_logger_provider(LoggerProvider()) +_logs.get_logger_provider().add_log_record_processor( + BatchLogRecordProcessor(OTLPLogExporter()) +) +_events.set_event_logger_provider(EventLoggerProvider()) + +# configure metrics +metrics.set_meter_provider( + MeterProvider( + metric_readers=[ + PeriodicExportingMetricReader( + OTLPMetricExporter(), + ), + ] + ) +) + +# instrument OpenAI with new instrumentor +OpenAIAgentsInstrumentor().instrument() + + +def main(): + client = OpenAI() + chat_completion = client.chat.completions.create( + model=os.getenv("CHAT_MODEL", "gpt-4o-mini"), + messages=[ + { + "role": "user", + "content": "Write a short poem on OpenTelemetry.", + }, + ], + ) + print(chat_completion.choices[0].message.content) + + +if __name__ == "__main__": + main() From a14881a1e65e766e8ba5f626d846bb5f9365abcb Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 12:15:59 -0700 Subject: [PATCH 11/30] Update changelog --- .../opentelemetry-instrumentation-openai-agents/CHANGELOG.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md index 2e1ed25ff8..d986784ce7 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md @@ -4,10 +4,7 @@ ### Added -- Initial implementation of OpenAI Agents instrumentation -- Support for OpenAI API client tracing in agent frameworks -- Capture of request/response content and metrics -- Configuration options for content capture and metrics collection +- Initial implementation of OpenAI Agents instrumentation ([#3762](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3762)) ### Changed From 2f625647222ac3bcb6e4d8d1308a16782a963acc Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 13:42:52 -0700 Subject: [PATCH 12/30] Remove env vars that are not a part of semantic convention --- .../README.rst | 10 ++-- .../instrumentation/openai_agents/__init__.py | 8 +-- .../instrumentation/openai_agents/events.py | 21 +------ .../openai_agents/genai_semantic_processor.py | 59 ++++++++----------- .../instrumentation/openai_agents/utils.py | 33 ----------- 5 files changed, 32 insertions(+), 99 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst index c8df098d0c..fcb40ed7fc 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst @@ -1,5 +1,5 @@ OpenTelemetry OpenAI Agents Instrumentation -========================================== +=========================================== |pypi| @@ -44,12 +44,10 @@ API The `opentelemetry-instrumentation-openai-agents` package provides automatic instrumentation for the OpenAI Agents framework. Configuration -------------- +-------------- -The following environment variables can be used to configure the instrumentation: - -- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT``: Set to ``true`` to capture the content of the requests and responses. Default is ``false``. -- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS``: Set to ``true`` to capture metrics. Default is ``true``. +This instrumentation captures content, metrics, and events by default with no additional configuration required. +If you are installing and setting up this tracing library, the assumption is you want full capture. References ---------- diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py index d7df1f3cd0..8012ac0318 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -48,12 +48,8 @@ Configuration ------------- -Environment variables: - -- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT``: ``true`` to - capture request/response content (default ``false``). -- ``OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS``: ``true`` to - capture metrics (default ``true``). +Content, metrics, and events are captured by default with no environment configuration. +This library assumes full capture is desired when installed. """ import logging diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py index 9780d1cdb6..cc0764920d 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py @@ -7,14 +7,11 @@ - gen_ai.evaluation.result (helper only; actual evaluation may happen externally – e.g. offline evaluator script) -Environment toggles: -- OTEL_GENAI_EMIT_OPERATION_DETAILS (default: true) -- OTEL_GENAI_EMIT_EVALUATION_RESULTS (default: true) +All GenAI events are emitted by default. """ from __future__ import annotations -import os from typing import Any, Dict, Optional from opentelemetry._events import Event @@ -22,9 +19,6 @@ OP_DETAILS_EVENT = "gen_ai.client.inference.operation.details" EVAL_RESULT_EVENT = "gen_ai.evaluation.result" -_OP_DETAILS_ENABLED_ENV = "OTEL_GENAI_EMIT_OPERATION_DETAILS" -_EVAL_RESULTS_ENABLED_ENV = "OTEL_GENAI_EMIT_EVALUATION_RESULTS" - # Attribute allowlist subset to avoid dumping huge blobs blindly. # (Large content already controlled by capture-content env var.) _OPERATION_DETAILS_CORE_KEYS = { @@ -45,13 +39,6 @@ _MAX_VALUE_LEN = 4000 # defensive truncation -def _enabled(env_name: str, default_true: bool = True) -> bool: - raw = os.getenv(env_name) - if raw is None: - return default_true - return raw.lower() not in {"0", "false", "no"} - - def emit_operation_details_event( event_logger, span_attributes: Dict[str, Any], @@ -66,8 +53,7 @@ def emit_operation_details_event( """ if not event_logger: return - if not _enabled(_OP_DETAILS_ENABLED_ENV, True): - return + # Always enabled attrs: Dict[str, Any] = {} for k in _OPERATION_DETAILS_CORE_KEYS: @@ -114,8 +100,7 @@ def emit_evaluation_result_event( """ if not event_logger: return - if not _enabled(_EVAL_RESULTS_ENABLED_ENV, True): - return + # Always enabled attrs: Dict[str, Any] = {"gen_ai.evaluation.name": name} if score_value is not None: diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index a9d10c842c..e6fa8a6c6f 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -98,11 +98,8 @@ # Import utilities and event helpers from .utils import ( - is_content_enabled, - is_metrics_enabled, normalize_output_type, normalize_provider, - should_emit_operation_details, validate_tool_type, ) @@ -260,26 +257,16 @@ def __init__( self._otel_spans: dict[str, OtelSpan] = {} self._tokens: dict[str, object] = {} - # Metrics configuration - self._metrics_enabled = is_metrics_enabled() + # Metrics configuration (always enabled) + self._metrics_enabled = True self._meter = None self._duration_histogram: Optional[Histogram] = None self._token_usage_histogram: Optional[Histogram] = None - # Configuration for opt-in attributes - self._capture_system_instructions = ( - os.getenv( - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS", "false" - ).lower() - == "true" - ) - self._capture_messages = ( - os.getenv("OTEL_GENAI_CAPTURE_MESSAGES", "false").lower() == "true" - ) - self._capture_tool_definitions = ( - os.getenv("OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS", "false").lower() - == "true" - ) + # Configuration for attribute capture (always enabled) + self._capture_system_instructions = True + self._capture_messages = True + self._capture_tool_definitions = True # Initialize metrics if enabled if self._metrics_enabled: @@ -577,7 +564,7 @@ def on_span_end(self, span: Span[Any]) -> None: attributes[key] = value # Emit operation details event if configured - if should_emit_operation_details() and self._event_logger: + if self._event_logger: emit_operation_details_event( self._event_logger, attributes, otel_span ) @@ -758,9 +745,9 @@ def _get_attributes_from_generation_span_data( if k in mc and mc[k] is not None: yield attr, mc[k] - # Sensitive data (opt-in) - if self.include_sensitive_data and is_content_enabled(): - # Input messages (opt-in) + # Sensitive data capture + if self.include_sensitive_data: + # Input messages if self._capture_messages and span_data.input: yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) if self.emit_legacy: @@ -769,7 +756,7 @@ def _get_attributes_from_generation_span_data( safe_json_dumps(span_data.input), ) - # System instructions (opt-in) + # System instructions if self._capture_system_instructions and span_data.input: sys_instr = self._collect_system_instructions(span_data.input) if sys_instr: @@ -778,7 +765,7 @@ def _get_attributes_from_generation_span_data( safe_json_dumps(sys_instr), ) - # Output messages (opt-in) + # Output messages if self._capture_messages and span_data.output: yield GEN_AI_OUTPUT_MESSAGES, safe_json_dumps(span_data.output) if self.emit_legacy: @@ -817,7 +804,7 @@ def _get_attributes_from_agent_span_data( if hasattr(span_data, "conversation_id") and span_data.conversation_id: yield GEN_AI_CONVERSATION_ID, span_data.conversation_id - # Agent definitions (opt-in) + # Agent definitions if self._capture_tool_definitions and hasattr( span_data, "agent_definitions" ): @@ -826,7 +813,7 @@ def _get_attributes_from_agent_span_data( safe_json_dumps(span_data.agent_definitions), ) - # System instructions from agent definitions (opt-in) + # System instructions from agent definitions if self._capture_system_instructions and hasattr( span_data, "agent_definitions" ): @@ -876,7 +863,7 @@ def _get_attributes_from_function_span_data( if hasattr(span_data, "description") and span_data.description: yield GEN_AI_TOOL_DESCRIPTION, span_data.description - # Tool definitions (opt-in) + # Tool definitions if self._capture_tool_definitions and hasattr( span_data, "tool_definitions" ): @@ -885,8 +872,8 @@ def _get_attributes_from_function_span_data( safe_json_dumps(span_data.tool_definitions), ) - # Tool input/output (sensitive, opt-in via include_sensitive_data) - if self.include_sensitive_data and is_content_enabled(): + # Tool input/output (sensitive) + if self.include_sensitive_data: if span_data.input is not None: arg_val = ( safe_json_dumps(span_data.input) @@ -967,8 +954,8 @@ def _get_attributes_from_response_span_data( ): yield GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens - # Input/output messages (opt-in) - if self.include_sensitive_data and is_content_enabled(): + # Input/output messages + if self.include_sensitive_data: # Input messages if self._capture_messages and span_data.input: yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) @@ -1032,8 +1019,8 @@ def _get_attributes_from_transcription_span_data( if hasattr(span_data, "format") and span_data.format: yield "gen_ai.audio.input.format", span_data.format - # Transcript (sensitive, opt-in) - if self.include_sensitive_data and is_content_enabled(): + # Transcript (sensitive) + if self.include_sensitive_data: if self._capture_messages and hasattr(span_data, "transcript"): yield "gen_ai.transcription.text", span_data.transcript @@ -1057,8 +1044,8 @@ def _get_attributes_from_speech_span_data( if hasattr(span_data, "format") and span_data.format: yield "gen_ai.audio.output.format", span_data.format - # Input text (sensitive, opt-in) - if self.include_sensitive_data and is_content_enabled(): + # Input text (sensitive) + if self.include_sensitive_data: if self._capture_messages and hasattr(span_data, "input_text"): yield "gen_ai.speech.input_text", span_data.input_text diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py index 3eed910991..63e1005aa9 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py @@ -12,37 +12,10 @@ # See the License for the specific language governing permissions and # limitations under the License. -from os import environ from typing import Optional from .constants import GenAIOutputType, GenAIProvider, GenAIToolType -_EMIT_OP_DETAILS_ENV = "OTEL_GENAI_EMIT_OPERATION_DETAILS" - - -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT = ( - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT" -) -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS = ( - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS" -) - - -def is_content_enabled() -> bool: - """Check if content capture is enabled.""" - capture_content = environ.get( - OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT, "false" - ) - return capture_content.lower() == "true" - - -def is_metrics_enabled() -> bool: - """Check if metrics capture is enabled.""" - capture_metrics = environ.get( - OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS, "true" - ) - return capture_metrics.lower() == "true" - def get_agent_operation_name(operation: str) -> str: """Get the operation name for agent operations.""" @@ -102,9 +75,3 @@ def normalize_output_type(output_type: Optional[str]) -> str: }: return o return GenAIOutputType.TEXT # default for unknown - - -def should_emit_operation_details() -> bool: - """Check if operation details event should be emitted.""" - raw = environ.get(_EMIT_OP_DETAILS_ENV, "true") - return raw.lower() not in {"0", "false", "no"} From 2f59dd7c206a672b90c6bd9f1c1a6f3f4f503d32 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 14:17:44 -0700 Subject: [PATCH 13/30] Using the right openai-agents --- .../opentelemetry-instrumentation-openai-agents/README.rst | 4 ++-- .../openai_agents_multi_agent_travel/requirements.txt | 2 +- .../pyproject.toml | 2 +- .../opentelemetry/instrumentation/openai_agents/package.py | 2 +- .../tests/test_openai_agents.py | 2 +- 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst index fcb40ed7fc..957bb81e4c 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst @@ -21,8 +21,8 @@ Dependency note --------------- This instrumentation integrates with the OpenAI Agents framework via the -`openai-agent `_ package. Ensure -``openai-agent>=0.1.0`` is installed in environments where agent events are +`openai-agents `_ package. Ensure +``openai-agents>=0.3.2`` is installed in environments where agent events are emitted; otherwise, the instrumentor will load but skip processor setup. Usage diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt index 13ed87505a..87bb185bad 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt @@ -1,6 +1,6 @@ python-dotenv openai>=1.40.0 -openai-agents>=0.2.9 +openai-agents>=0.3.2 pydantic>=2.7.0 # OpenTelemetry core & exporters diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml index 20bc4ed0ff..006ccd2a09 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -32,7 +32,7 @@ dependencies = [ [project.optional-dependencies] instruments = [ - "openai >= 1.26.0", + "openai-agents >= 0.3.2", ] [project.entry-points.opentelemetry_instrumentor] diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py index ac2a963cd6..639c635596 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py @@ -12,5 +12,5 @@ # See the License for the specific language governing permissions and # limitations under the License. -_instruments = ("openai-agent >= 0.1.0",) +_instruments = ("openai-agents >= 0.3.2",) _supports_metrics = True diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py index b254019efe..fea5f93c35 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py @@ -45,7 +45,7 @@ def test_instrumentation_dependencies(self): """Test that instrumentation dependencies are returned.""" dependencies = self.instrumentor.instrumentation_dependencies() self.assertIsInstance(dependencies, tuple) - self.assertEqual(dependencies, ("openai-agent >= 0.1.0",)) + self.assertEqual(dependencies, ("openai-agents >= 0.3.2",)) @mock.patch.dict( "os.environ", From a38ebc811a3fa2e0b2955fa19d13cdbb7f09853e Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 14:30:24 -0700 Subject: [PATCH 14/30] more updates to readme --- .../opentelemetry-instrumentation-openai-agents/README.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst index 957bb81e4c..54ca2bfec2 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst @@ -6,9 +6,9 @@ OpenTelemetry OpenAI Agents Instrumentation .. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-openai-agents.svg :target: https://pypi.org/project/opentelemetry-instrumentation-openai-agents/ -This library allows tracing OpenAI Agents framework requests and logging of messages made by the -`OpenAI Python API library `_ when used with agent frameworks. -It also captures the duration of the operations and the number of tokens used as metrics. +This library instruments the `OpenAI Agents framework `_ +to trace requests and log messages flowing through agents. It also captures operation duration and +token usage as metrics. Installation ------------ From 5c473326392250ccb9dd3fb5c50690baf64033b0 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 14:32:20 -0700 Subject: [PATCH 15/30] remove ununsed env vars --- .../openai_agents/genai_semantic_processor.py | 26 +++++-------------- 1 file changed, 7 insertions(+), 19 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index e6fa8a6c6f..881de7be88 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -16,7 +16,6 @@ import json import logging -import os from datetime import datetime, timezone from typing import TYPE_CHECKING, Any, Iterator, Optional, Sequence from urllib.parse import urlparse @@ -224,25 +223,14 @@ def __init__( self.base_url = base_url self.emit_legacy = emit_legacy - # Agent information - prefer environment variables, then init parameters - self.agent_name = os.getenv("OTEL_GENAI_AGENT_NAME", agent_name) - self.agent_id = os.getenv("OTEL_GENAI_AGENT_ID", agent_id) - self.agent_description = os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", agent_description - ) + # Agent information - use init parameters or defaults + self.agent_name = agent_name or "agent" + self.agent_id = agent_id or "unknown" + self.agent_description = agent_description or "instrumented agent" - # Server information - prefer environment variables, then init parameters, then base_url - self.server_address = os.getenv( - "OTEL_GENAI_SERVER_ADDRESS", server_address - ) - self.server_port = os.getenv("OTEL_GENAI_SERVER_PORT") - if self.server_port: - try: - self.server_port = int(self.server_port) - except ValueError: - self.server_port = None - else: - self.server_port = server_port + # Server information - use init parameters, then base_url inference + self.server_address = server_address + self.server_port = server_port # If server info not provided, try to extract from base_url if (not self.server_address or not self.server_port) and base_url: From 303c1ff65b5e53a91b6a7a8e5c64b2845b7187c5 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Fri, 26 Sep 2025 14:43:25 -0700 Subject: [PATCH 16/30] More explicit __all__ --- .../instrumentation/openai_agents/__init__.py | 23 ++++++++----------- 1 file changed, 9 insertions(+), 14 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py index 8012ac0318..8630aff5ad 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -73,6 +73,15 @@ from opentelemetry.semconv.schemas import Schemas from opentelemetry.trace import get_tracer +__all__ = [ + "OpenAIAgentsInstrumentor", + "GenAIProvider", + "GenAIOperationName", + "GenAIToolType", + "GenAIOutputType", + "GenAIEvaluationAttributes", +] + logger = logging.getLogger(__name__) @@ -81,9 +90,6 @@ class OpenAIAgentsInstrumentor(BaseInstrumentor): def _instrument(self, **kwargs): """Instruments the OpenAI library for agent frameworks.""" - # TODO: Implement your instrumentation logic here - # This is a stub implementation - add your custom instrumentation code - tracer_provider = kwargs.get("tracer_provider") tracer = get_tracer( __name__, @@ -106,17 +112,6 @@ def _instrument(self, **kwargs): ) ) - # Expose constants via module attributes for convenience - globals().update( - { - "GenAIProvider": GenAIProvider, - "GenAIOperationName": GenAIOperationName, - "GenAIToolType": GenAIToolType, - "GenAIOutputType": GenAIOutputType, - "GenAIEvaluationAttributes": GenAIEvaluationAttributes, - } - ) - def _uninstrument(self, **kwargs): """Uninstruments the OpenAI library for agent frameworks.""" # No-op: optional processor registry may not be present. From 1c4ced3a5535b906297caed12fafd611d6b10999 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Mon, 29 Sep 2025 13:40:56 -0700 Subject: [PATCH 17/30] examples: reorganize samples and collectors; remove azure monitor from most; add enhanced_travel_planner and trace_collectors; update README --- .../examples/README.md | 14 +- .../examples/basic_usage.py | 4 - ...enhanced.py => enhanced_travel_planner.py} | 71 ++--- .../examples/mcp_hotel_capture_all.py | 87 +---- .../multi_agent_weather_capture_all.py | 273 ---------------- .../examples/spanish_tutor_capture_all.py | 222 ------------- .../examples/trace_collectors.py | 86 +++++ .../examples/weather_lookup_capture_all.py | 256 --------------- .../examples/weekend_planner_capture_all.py | 301 ------------------ 9 files changed, 121 insertions(+), 1193 deletions(-) rename instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/{openai_agents_multi_agent_travel/enhanced.py => enhanced_travel_planner.py} (95%) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py create mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md index 87d0676c44..fb2b3b9732 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md @@ -4,9 +4,12 @@ This directory contains examples of how to use the OpenAI Agents instrumentation ## Files -- `quickstart.py` - Minimal OpenTelemetry setup and OpenAI chat sample using `OpenAIAgentsInstrumentor` -- `basic_usage.py` - Basic example showing how to enable and use the instrumentation -- `.env.example` - Example environment variables configuration +- `quickstart.py` - Minimal OpenTelemetry setup and OpenAI chat sample. +- `basic_usage.py` - Tool-calling airline demo (no Azure Monitor). +- `mcp_hotel_capture_all.py` - MCP HTTP hotel finder sample (no Azure Monitor). +- `enhanced_travel_planner.py` - Complex orchestration travel planner (console exporter). +- `trace_collectors.py` - Showcase of Console, OTLP gRPC/HTTP, and Azure Monitor exporters. +- `.env.example` - Example environment variables configuration. ## Basic Usage @@ -27,10 +30,7 @@ This directory contains examples of how to use the OpenAI Agents instrumentation ## Configuration -The instrumentation can be configured using environment variables: - -- `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT` - Enable/disable content capture (default: false) -- `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS` - Enable/disable metrics collection (default: true) +Content, metrics, and events are captured by default. ## Integration with Agent Frameworks diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py index a93f0f1a40..97931ea437 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py @@ -23,7 +23,6 @@ trace, ) from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX -from azure.monitor.opentelemetry import configure_azure_monitor from dotenv import load_dotenv from openai import AsyncAzureOpenAI from pydantic import BaseModel @@ -34,9 +33,6 @@ load_dotenv() -configure_azure_monitor( - connection_string=os.environ["APPLICATION_INSIGHTS_CONNECTION_STRING"] -) OpenAIAgentsInstrumentor().instrument() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py similarity index 95% rename from instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py rename to instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py index e528eaa0ab..65e0f9090d 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/enhanced.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py @@ -9,6 +9,19 @@ from typing import Any, Dict, List, Optional from uuid import uuid4 +# Azure Monitor exporter removed for this sample +from agents import ( + Agent, + HandoffInputData, + OpenAIChatCompletionsModel, + Runner, + function_tool, + handoff, +) +from agents import ( + trace as agents_trace, +) +from agents.extensions import handoff_filters from dotenv import load_dotenv from openai import AsyncAzureOpenAI, AsyncOpenAI from pydantic import BaseModel, Field @@ -27,24 +40,6 @@ ConsoleSpanExporter, ) -try: - from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter -except ImportError: - AzureMonitorTraceExporter = None - -from agents import ( - Agent, - HandoffInputData, - OpenAIChatCompletionsModel, - Runner, - function_tool, - handoff, -) -from agents import ( - trace as agents_trace, -) -from agents.extensions import handoff_filters - TRACER = trace.get_tracer(__name__) # Agent metadata constants @@ -112,10 +107,6 @@ class CompleteTravelPlan(BaseModel): def _configure_otel(session_id: str) -> GenAISemanticProcessor: """Configure OpenTelemetry with GenAI semantic processor.""" - conn = os.getenv("APPLICATIONINSIGHTS_CONNECTION_STRING") or os.getenv( - "APPLICATION_INSIGHTS_CONNECTION_STRING" - ) - resource = Resource.create( { "service.name": "openai-agents-enhanced-travel-planner", @@ -129,15 +120,7 @@ def _configure_otel(session_id: str) -> GenAISemanticProcessor: ) tp = TracerProvider(resource=resource) - - if conn and AzureMonitorTraceExporter: - tp.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - else: - tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) + tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) trace.set_tracer_provider(tp) @@ -166,31 +149,19 @@ def _configure_otel(session_id: str) -> GenAISemanticProcessor: tracer=tracer, event_logger=None, system_name=provider, - include_sensitive_data=os.getenv( - "OTEL_GENAI_INCLUDE_SENSITIVE", "false" - ).lower() - == "true", + include_sensitive_data=True, base_url=base_url, - emit_legacy=os.getenv("OTEL_GENAI_EMIT_LEGACY", "false").lower() - == "true", - agent_name=os.getenv("OTEL_GENAI_AGENT_NAME", AGENT_SYSTEM_NAME), - agent_id=os.getenv("OTEL_GENAI_AGENT_ID", agent_id), - agent_description=os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Multi-agent travel planning system with 6 specialized agents: Travel Coordinator, Flight Specialist, Hotel Specialist, Activity Specialist, Budget Analyst, and Plan Synthesizer", + emit_legacy=False, + agent_name=AGENT_SYSTEM_NAME, + agent_id=agent_id, + agent_description=( + "Multi-agent travel planning system with specialized agents: " + "Coordinator, Flight Specialist, Hotel Specialist, Activity Specialist, Budget Analyst, and Plan Synthesizer" ), server_address=None, server_port=None, ) - if os.getenv("ENABLE_GENAI_CAPTURE_ALL", "false").lower() == "true": - os.environ["OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS"] = "true" - os.environ["OTEL_GENAI_CAPTURE_MESSAGES"] = "true" - os.environ["OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS"] = "true" - - if os.getenv("OTEL_GENAI_METRICS_ENABLED", "true").lower() == "true": - os.environ["OTEL_GENAI_METRICS_ENABLED"] = "true" - return genai_processor diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py index 9995d803a6..97c6573986 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py @@ -7,7 +7,6 @@ import os from dataclasses import dataclass from typing import Callable -from urllib.parse import urlparse import azure.identity import openai @@ -48,34 +47,8 @@ class _ApiConfig: def _set_capture_env(provider: str, base_url: str) -> None: - """Enable all GenAI capture toggles before instrumentation hooks.""" - - capture_defaults = { - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", - "OTEL_GENAI_CAPTURE_MESSAGES": "true", - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", - "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", - "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", - "OTEL_GENAI_AGENT_NAME": os.getenv( - "OTEL_GENAI_AGENT_NAME", "MCP Hotel Assistant" - ), - "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Agent orchestrator that uses MCP to find hotels matching user criteria", - ), - "OTEL_GENAI_AGENT_ID": os.getenv( - "OTEL_GENAI_AGENT_ID", "mcp-hotel-assistant" - ), - } - for env_key, value in capture_defaults.items(): - os.environ.setdefault(env_key, value) - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + """Deprecated: capture is always on; keep for backward compatibility.""" + return def _resolve_api_config() -> _ApiConfig: @@ -126,30 +99,13 @@ def _build_client() -> openai.AsyncAzureOpenAI: provider="azure.ai.openai", ) - if host == "ollama": - base_url = os.getenv( - "OLLAMA_BASE_URL", "http://localhost:11434/v1" - ).rstrip("/") - model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") - api_key = os.getenv("OLLAMA_API_KEY", "none") - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="self.hosted", - ) + # Removed ollama path to simplify sample raise ValueError(f"Unsupported API_HOST '{host}'") def _configure_otel() -> None: - """Configure the tracer provider and exporters.""" - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + """Configure tracer provider with console exporter (no Azure Monitor).""" resource = Resource.create( { "service.name": "mcp-hotel-finder-service", @@ -157,39 +113,10 @@ def _configure_otel() -> None: "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), } ) - tracer_provider = TracerProvider(resource=resource) - - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found - AzureMonitorTraceExporter, - ) - except ImportError: # pragma: no cover - optional dependency - print( - "Warning: Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - print( - "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " - "Application Insights instead of the console", - ) - + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) trace.set_tracer_provider(tracer_provider) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py deleted file mode 100644 index a7d5ca2513..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/multi_agent_weather_capture_all.py +++ /dev/null @@ -1,273 +0,0 @@ -from __future__ import annotations - -import asyncio -import logging -import os -from dataclasses import dataclass -from typing import Callable -from urllib.parse import urlparse - -import azure.identity -import openai -from agents import Agent, OpenAIChatCompletionsModel, Runner, function_tool -from agents.extensions.visualization import draw_graph -from dotenv import load_dotenv - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig(level=logging.WARNING) - - -@dataclass -class _ApiConfig: - """Helper structure for creating the OpenAI client.""" - - build_client: Callable[[], openai.AsyncOpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Enable all GenAI capture flags before instrumentation runs.""" - - capture_defaults = { - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", - "OTEL_GENAI_CAPTURE_MESSAGES": "true", - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", - "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", - "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", - "OTEL_GENAI_AGENT_NAME": os.getenv( - "OTEL_GENAI_AGENT_NAME", "Weather Orchestration Service" - ), - "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Multi-agent weather service routing requests to language-specific forecasters", - ), - "OTEL_GENAI_AGENT_ID": os.getenv( - "OTEL_GENAI_AGENT_ID", "weather-orchestrator" - ), - } - for env_key, value in capture_defaults.items(): - os.environ.setdefault(env_key, value) - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) - - -def _resolve_api_config() -> _ApiConfig: - """Create the Async OpenAI client builder for the configured host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AsyncAzureOpenAI: - return openai.AsyncAzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - if host == "ollama": - base_url = os.getenv( - "OLLAMA_BASE_URL", "http://localhost:11434/v1" - ).rstrip("/") - model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") - api_key = os.getenv("OLLAMA_API_KEY", "none") - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="self.hosted", - ) - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure OpenTelemetry exporters and tracer provider.""" - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - resource = Resource.create( - { - "service.name": "multi-agent-weather-service", - "service.namespace": "weather-orchestration", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - - tracer_provider = TracerProvider(resource=resource) - - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found - AzureMonitorTraceExporter, - ) - except ImportError: # pragma: no cover - optional dependency - print( - "Warning: Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - print( - "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " - "Application Insights instead of the console", - ) - - trace.set_tracer_provider(tracer_provider) - - -api_config = _resolve_api_config() -_set_capture_env(api_config.provider, api_config.base_url) -_configure_otel() - -OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() -) - -client = api_config.build_client() - - -@function_tool -def get_weather(city: str) -> dict[str, object]: - return { - "city": city, - "temperature": 72, - "description": "Sunny", - } - - -spanish_agent = Agent( - name="Spanish agent", - instructions="You only speak Spanish.", - tools=[get_weather], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - -english_agent = Agent( - name="English agent", - instructions="You only speak English.", - tools=[get_weather], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - -triage_agent = Agent( - name="Triage agent", - instructions="Handoff to the appropriate agent based on the language of the request.", - handoffs=[spanish_agent, english_agent], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - - -def _root_span_name(provider: str) -> str: - return f"weather_service_request[{provider}]" - - -async def main() -> None: - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span( - _root_span_name(api_config.provider) - ) as span: - user_request = ( - "Hola, ¿cómo estás? ¿Puedes darme el clima para San Francisco CA?" - ) - - span.set_attribute("user.request", user_request) - span.set_attribute("api.host", os.getenv("API_HOST", "github")) - span.set_attribute("model.name", api_config.model_name) - - try: - result = await Runner.run(triage_agent, input=user_request) - print(result.final_output) - - span.set_attribute( - "agent.response", - result.final_output[:500] if result.final_output else "", - ) - span.set_attribute("request.success", True) - except Exception as exc: # pragma: no cover - defensive logging - span.record_exception(exc) - span.set_attribute("request.success", False) - raise - - -if __name__ == "__main__": - try: - draw_graph(triage_agent) - asyncio.run(main()) - finally: - trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py deleted file mode 100644 index df6c51a19f..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/spanish_tutor_capture_all.py +++ /dev/null @@ -1,222 +0,0 @@ -from __future__ import annotations - -import asyncio -import logging -import os -from dataclasses import dataclass -from typing import Callable -from urllib.parse import urlparse - -import azure.identity -import openai -from agents import Agent, OpenAIChatCompletionsModel, Runner -from dotenv import load_dotenv - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig(level=logging.WARNING) - - -@dataclass -class _ApiConfig: - """Container describing how to build the LLM client for the run.""" - - build_client: Callable[[], openai.AsyncOpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Opt into every GenAI content/metadata capture toggle.""" - - capture_defaults = { - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", - "OTEL_GENAI_CAPTURE_MESSAGES": "true", - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", - "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", - "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", - "OTEL_GENAI_AGENT_NAME": os.getenv( - "OTEL_GENAI_AGENT_NAME", "Spanish Tutor Agent" - ), - "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Conversational tutor that always replies in Spanish", - ), - "OTEL_GENAI_AGENT_ID": os.getenv( - "OTEL_GENAI_AGENT_ID", "spanish-tutor" - ), - } - for env_key, value in capture_defaults.items(): - os.environ.setdefault(env_key, value) - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) - - -def _resolve_api_config() -> _ApiConfig: - """Return the client factory/model for the configured API host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AsyncAzureOpenAI: - return openai.AsyncAzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - if host == "ollama": - base_url = os.getenv( - "OLLAMA_BASE_URL", "http://localhost:11434/v1" - ).rstrip("/") - model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") - api_key = os.getenv("OLLAMA_API_KEY", "none") - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="self.hosted", - ) - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure OpenTelemetry with Azure Monitor or console export.""" - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - resource = Resource.create( - { - "service.name": "spanish-tutor-app", - "service.namespace": "language-learning", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - - tracer_provider = TracerProvider(resource=resource) - - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found - AzureMonitorTraceExporter, - ) - except ImportError: # pragma: no cover - optional dependency - print( - "Warning: Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - print( - "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " - "Application Insights instead of the console", - ) - - trace.set_tracer_provider(tracer_provider) - - -api_config = _resolve_api_config() -_set_capture_env(api_config.provider, api_config.base_url) -_configure_otel() - -# Instrument OpenAI Agents using the configured tracer provider -OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() -) - -client = api_config.build_client() - -agent = Agent( - name="Spanish tutor", - instructions="You are a Spanish tutor. Help the user learn Spanish. ONLY respond in Spanish.", - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - - -def _infer_span_name(provider: str) -> str: - return f"spanish_tutor_session[{provider}]" - - -async def main() -> None: - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span(_infer_span_name(api_config.provider)): - result = await Runner.run(agent, input="hi how are you?") - print(result.final_output) - - -if __name__ == "__main__": - try: - asyncio.run(main()) - finally: - trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py new file mode 100644 index 0000000000..a85558e49a --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py @@ -0,0 +1,86 @@ +"""Trace collectors showcase: Console, OTLP gRPC/HTTP, Azure Monitor. + +Run with appropriate env vars: +- OTLP_GRPC_ENDPOINT (e.g., http://localhost:4317) +- OTLP_HTTP_ENDPOINT (e.g., http://localhost:4318/v1/traces) +- APPLICATION_INSIGHTS_CONNECTION_STRING +""" + +import os + +from opentelemetry import trace +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( + OTLPSpanExporter as OTLPGrpcSpanExporter, +) +from opentelemetry.exporter.otlp.proto.http.trace_exporter import ( + OTLPSpanExporter as OTLPHttpSpanExporter, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + + +def configure_trace_collectors() -> None: + resource = Resource.create( + { + "service.name": "openai-agents-trace-collectors", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + tp = TracerProvider(resource=resource) + + # Console + tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) + + # OTLP gRPC + otlp_grpc_endpoint = os.getenv("OTLP_GRPC_ENDPOINT") + if otlp_grpc_endpoint: + tp.add_span_processor( + BatchSpanProcessor( + OTLPGrpcSpanExporter(endpoint=otlp_grpc_endpoint) + ) + ) + + # OTLP HTTP + otlp_http_endpoint = os.getenv("OTLP_HTTP_ENDPOINT") + if otlp_http_endpoint: + tp.add_span_processor( + BatchSpanProcessor( + OTLPHttpSpanExporter(endpoint=otlp_http_endpoint) + ) + ) + + # Azure Monitor + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( + AzureMonitorTraceExporter, + ) + except ImportError: + print( + "Azure Monitor exporter not installed. " + "Install: pip install azure-monitor-opentelemetry-exporter", + ) + else: + tp.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + + trace.set_tracer_provider(tp) + + +def main(): + configure_trace_collectors() + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span("trace-collectors-demo"): + print("Trace collectors configured and demo span emitted.") + + +if __name__ == "__main__": + main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py deleted file mode 100644 index c2c9e710da..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weather_lookup_capture_all.py +++ /dev/null @@ -1,256 +0,0 @@ -"""Weather lookup chatbot with full GenAI telemetry capture.""" - -from __future__ import annotations - -import logging -import os -from dataclasses import dataclass -from typing import Callable -from urllib.parse import urlparse - -import azure.identity -import openai -from dotenv import load_dotenv - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig(level=logging.WARNING) - - -@dataclass -class _ApiConfig: - """Helper describing how to construct the OpenAI client.""" - - build_client: Callable[[], openai.OpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Enable all GenAI capture toggles before instrumentation hooks.""" - - capture_defaults = { - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", - "OTEL_GENAI_CAPTURE_MESSAGES": "true", - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", - "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", - "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", - "OTEL_GENAI_AGENT_NAME": os.getenv( - "OTEL_GENAI_AGENT_NAME", "Weather Chatbot" - ), - "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Single-agent weather assistant that demonstrates tool calling", - ), - "OTEL_GENAI_AGENT_ID": os.getenv( - "OTEL_GENAI_AGENT_ID", "weather-chatbot" - ), - } - for key, value in capture_defaults.items(): - os.environ.setdefault(key, value) - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) - - -def _resolve_api_config() -> _ApiConfig: - """Return synchronous client configuration for the selected host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.OpenAI: - return openai.OpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AzureOpenAI: - return openai.AzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure tracer provider and exporters.""" - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - resource = Resource.create( - { - "service.name": "weather-chatbot-service", - "service.namespace": "weather-lookup", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - - tracer_provider = TracerProvider(resource=resource) - - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found - AzureMonitorTraceExporter, - ) - except ImportError: # pragma: no cover - optional dependency - print( - "Warning: Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - print( - "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " - "Application Insights instead of the console", - ) - - trace.set_tracer_provider(tracer_provider) - - -def main() -> None: - api_config = _resolve_api_config() - _set_capture_env(api_config.provider, api_config.base_url) - _configure_otel() - - OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() - ) - - client = api_config.build_client() - - tools = [ - { - "type": "function", - "function": { - "name": "lookup_weather", - "description": "Lookup the weather for a given city name or zip code.", - "parameters": { - "type": "object", - "properties": { - "city_name": { - "type": "string", - "description": "The city name", - }, - "zip_code": { - "type": "string", - "description": "The zip code", - }, - }, - "additionalProperties": False, - }, - }, - } - ] - - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span( - f"weather_lookup_request[{api_config.provider}]" - ) as span: - user_query = "what is the weather in NYC?" - - span.set_attribute("user.query", user_query) - span.set_attribute("api.host", os.getenv("API_HOST", "github")) - span.set_attribute("model.name", api_config.model_name) - span.set_attribute("tool.count", len(tools)) - span.set_attribute( - "tool.names", [t["function"]["name"] for t in tools] - ) - - try: - response = client.chat.completions.create( - model=api_config.model_name, - messages=[ - {"role": "system", "content": "You're a weather chatbot"}, - {"role": "user", "content": user_query}, - ], - tools=tools, - ) - - print( - f"Response from {api_config.model_name} on {os.getenv('API_HOST', 'github')}:\n" - ) - - tool_calls = response.choices[0].message.tool_calls or [] - for index, message in enumerate(tool_calls): - print(message.function.name) - print(message.function.arguments) - span.set_attribute( - f"tool_call.{index}.name", message.function.name - ) - span.set_attribute( - f"tool_call.{index}.arguments", message.function.arguments - ) - span.set_attribute("tool_calls.count", len(tool_calls)) - span.set_attribute("request.success", True) - - except Exception as exc: # pragma: no cover - defensive logging - span.record_exception(exc) - span.set_attribute("request.success", False) - print(f"Error: {exc}") - raise - - trace.get_tracer_provider().shutdown() - - -if __name__ == "__main__": - main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py deleted file mode 100644 index 53a6c1ba3c..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_capture_all.py +++ /dev/null @@ -1,301 +0,0 @@ -"""Weekend planner example with full GenAI telemetry capture.""" - -from __future__ import annotations - -import asyncio -import logging -import os -import random -from dataclasses import dataclass -from datetime import datetime -from typing import Callable -from urllib.parse import urlparse - -import azure.identity -import openai -from agents import ( - Agent, - OpenAIChatCompletionsModel, - Runner, - function_tool, - set_tracing_disabled, -) -from dotenv import load_dotenv -from rich.logging import RichHandler - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig( - level=logging.WARNING, - format="%(message)s", - datefmt="[%X]", - handlers=[RichHandler()], -) -logger = logging.getLogger("weekend_planner") - - -@dataclass -class _ApiConfig: - """Helper describing how to create the OpenAI client.""" - - build_client: Callable[[], openai.AsyncOpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Enable all GenAI capture toggles prior to instrumentation.""" - - capture_defaults = { - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true", - "OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true", - "OTEL_GENAI_CAPTURE_MESSAGES": "true", - "OTEL_GENAI_CAPTURE_SYSTEM_INSTRUCTIONS": "true", - "OTEL_GENAI_CAPTURE_TOOL_DEFINITIONS": "true", - "OTEL_GENAI_EMIT_OPERATION_DETAILS": "true", - "OTEL_GENAI_AGENT_NAME": os.getenv( - "OTEL_GENAI_AGENT_NAME", "Weekend Planner Agent" - ), - "OTEL_GENAI_AGENT_DESCRIPTION": os.getenv( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Assistant that plans weekend activities using weather and events data", - ), - "OTEL_GENAI_AGENT_ID": os.getenv( - "OTEL_GENAI_AGENT_ID", "weekend-planner" - ), - } - for env_key, value in capture_defaults.items(): - os.environ.setdefault(env_key, value) - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) - - -def _resolve_api_config() -> _ApiConfig: - """Return the client configuration for the requested host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AsyncAzureOpenAI: - return openai.AsyncAzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - if host == "ollama": - base_url = os.getenv( - "OLLAMA_ENDPOINT", "http://localhost:11434/v1" - ).rstrip("/") - model_name = os.getenv("OLLAMA_MODEL", "llama3.1:latest") - api_key = os.getenv("OLLAMA_API_KEY", "none") - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="self.hosted", - ) - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure the tracer provider and exporters.""" - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - resource = Resource.create( - { - "service.name": "weekend-planner-service", - "service.namespace": "leisure-orchestration", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - - tracer_provider = TracerProvider(resource=resource) - - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( # type: ignore import-not-found - AzureMonitorTraceExporter, - ) - except ImportError: # pragma: no cover - optional dependency - print( - "Warning: Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - print( - "[otel] Set APPLICATION_INSIGHTS_CONNECTION_STRING to export to " - "Application Insights instead of the console", - ) - - trace.set_tracer_provider(tracer_provider) - - -api_config = _resolve_api_config() -_set_capture_env(api_config.provider, api_config.base_url) -_configure_otel() - -OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() -) - -client = api_config.build_client() -set_tracing_disabled(False) - - -@function_tool -def get_weather(city: str) -> dict[str, object]: - logger.info("Getting weather for %s", city) - if random.random() < 0.05: - return { - "city": city, - "temperature": 72, - "description": "Sunny", - } - return { - "city": city, - "temperature": 60, - "description": "Rainy", - } - - -@function_tool -def get_activities(city: str, date: str) -> list[dict[str, object]]: - logger.info("Getting activities for %s on %s", city, date) - return [ - {"name": "Hiking", "location": city}, - {"name": "Beach", "location": city}, - {"name": "Museum", "location": city}, - ] - - -@function_tool -def get_current_date() -> str: - """Gets the current date and returns as YYYY-MM-DD.""" - logger.info("Getting current date") - return datetime.now().strftime("%Y-%m-%d") - - -agent = Agent( - name="Weekend Planner", - instructions=( - "You help users plan their weekends and choose the best activities for the given weather. " - "If an activity would be unpleasant in the weather, don't suggest it. Include the date of the weekend in your response." - ), - tools=[get_weather, get_activities, get_current_date], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - - -def _root_span_name(provider: str) -> str: - return f"weekend_planning_session[{provider}]" - - -async def main() -> None: - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span( - _root_span_name(api_config.provider) - ) as span: - user_request = "hii what can I do this weekend in Seattle?" - - span.set_attribute("user.request", user_request) - span.set_attribute("api.host", os.getenv("API_HOST", "github")) - span.set_attribute("model.name", api_config.model_name) - span.set_attribute("agent.name", agent.name) - span.set_attribute("target.city", "Seattle") - - try: - result = await Runner.run(agent, input=user_request) - print(result.final_output) - - span.set_attribute( - "agent.response", - result.final_output[:500] if result.final_output else "", - ) - span.set_attribute("request.success", True) - logger.info("Weekend planning completed successfully") - except Exception as exc: # pragma: no cover - defensive logging - span.record_exception(exc) - span.set_attribute("request.success", False) - logger.error("Error during weekend planning: %s", exc) - raise - - -if __name__ == "__main__": - logger.setLevel(logging.INFO) - try: - asyncio.run(main()) - finally: - trace.get_tracer_provider().shutdown() From 353fdb05e81c0d5581e4918a39aa0842fdb5dd6b Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 30 Sep 2025 08:16:48 -0700 Subject: [PATCH 18/30] GenAI: emit system_instructions as typed text objects; add redaction mode returning [{"type":"text","content":"readacted"}] when sensitive capture disabled; add TODO to restore processors on uninstrument --- .../instrumentation/openai_agents/__init__.py | 1 + .../openai_agents/genai_semantic_processor.py | 72 ++++++++++++++++--- 2 files changed, 65 insertions(+), 8 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py index 8630aff5ad..026b61aae0 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -115,6 +115,7 @@ def _instrument(self, **kwargs): def _uninstrument(self, **kwargs): """Uninstruments the OpenAI library for agent frameworks.""" # No-op: optional processor registry may not be present. + # TODO: maintain the old list of processors and restore it upon _uninstrument. return def instrumentation_dependencies(self) -> Collection[str]: diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index 881de7be88..d7302f1ea4 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -357,21 +357,67 @@ def _record_metrics( def _collect_system_instructions( self, messages: Sequence[Any] | None - ) -> list[str]: - """Return list of system/ai role message contents.""" + ) -> list[dict[str, str]]: + """Return system/ai role instructions as typed text objects. + + Enforces format: [{"type": "text", "content": "..."}]. + Handles message content that may be a string, list of parts, + or a dict with text/content fields. + """ if not messages: return [] - out: list[str] = [] + out: list[dict[str, str]] = [] for m in messages: if not isinstance(m, dict): continue role = m.get("role") if role in {"system", "ai"}: content = m.get("content") - if content is not None: - out.append(str(content)) + out.extend(self._normalize_to_text_parts(content)) return out + def _normalize_to_text_parts(self, content: Any) -> list[dict[str, str]]: + """Normalize arbitrary content into typed text parts. + + - String -> [{type: text, content: }] + - List/Tuple -> map each item to a text part (string/dict supported) + - Dict -> use 'text' or 'content' field when available; else str(dict) + - Other -> str(value) + """ + parts: list[dict[str, str]] = [] + if content is None: + return parts + if isinstance(content, str): + parts.append({"type": "text", "content": content}) + return parts + if isinstance(content, (list, tuple)): + for item in content: + if isinstance(item, str): + parts.append({"type": "text", "content": item}) + elif isinstance(item, dict): + txt = item.get("text") or item.get("content") + if isinstance(txt, str) and txt: + parts.append({"type": "text", "content": txt}) + else: + parts.append({"type": "text", "content": str(item)}) + else: + parts.append({"type": "text", "content": str(item)}) + return parts + if isinstance(content, dict): + txt = content.get("text") or content.get("content") + if isinstance(txt, str) and txt: + parts.append({"type": "text", "content": txt}) + else: + parts.append({"type": "text", "content": str(content)}) + return parts + # Fallback for other types + parts.append({"type": "text", "content": str(content)}) + return parts + + def _redacted_text_parts(self) -> list[dict[str, str]]: + """Return a single redacted text part for system instructions.""" + return [{"type": "text", "content": "readacted"}] + def _infer_output_type(self, span_data: Any) -> str: """Infer gen_ai.output.type for multiple span kinds.""" if isinstance(span_data, FunctionSpanData): @@ -746,7 +792,12 @@ def _get_attributes_from_generation_span_data( # System instructions if self._capture_system_instructions and span_data.input: - sys_instr = self._collect_system_instructions(span_data.input) + if self.include_sensitive_data: + sys_instr = self._collect_system_instructions( + span_data.input + ) + else: + sys_instr = self._redacted_text_parts() if sys_instr: yield ( GEN_AI_SYSTEM_INSTRUCTIONS, @@ -808,7 +859,7 @@ def _get_attributes_from_agent_span_data( try: defs = span_data.agent_definitions if isinstance(defs, (list, tuple)): - collected: list[str] = [] + collected: list[dict[str, str]] = [] for d in defs: if isinstance(d, dict): msgs = d.get("messages") or d.get( @@ -955,7 +1006,12 @@ def _get_attributes_from_response_span_data( # System instructions if self._capture_system_instructions and span_data.input: - sys_instr = self._collect_system_instructions(span_data.input) + if self.include_sensitive_data: + sys_instr = self._collect_system_instructions( + span_data.input + ) + else: + sys_instr = self._redacted_text_parts() if sys_instr: yield ( GEN_AI_SYSTEM_INSTRUCTIONS, From 8a90db1e45ef81e7446ebb3f389d67048a3b4b07 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 30 Sep 2025 08:29:35 -0700 Subject: [PATCH 19/30] Apply ruff-format after normalization changes --- .../openai_agents/genai_semantic_processor.py | 228 ++++++++++++++---- 1 file changed, 185 insertions(+), 43 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index d7302f1ea4..7c662ca227 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -105,12 +105,7 @@ if TYPE_CHECKING: pass -# Legacy attribute names for backward compatibility -GEN_AI_SYSTEM_LEGACY = "gen_ai.system" -GEN_AI_PROMPT_LEGACY = "gen_ai.prompt" -GEN_AI_COMPLETION_LEGACY = "gen_ai.completion" -GEN_AI_TOOL_INPUT_LEGACY = "gen_ai.tool.input" -GEN_AI_TOOL_OUTPUT_LEGACY = "gen_ai.tool.output" +# Legacy attributes removed logger = logging.getLogger(__name__) @@ -221,7 +216,8 @@ def __init__( self.system_name = normalize_provider(system_name) or system_name self.include_sensitive_data = include_sensitive_data self.base_url = base_url - self.emit_legacy = emit_legacy + # Legacy emission removed; parameter retained for compatibility but unused + self.emit_legacy = False # Agent information - use init parameters or defaults self.agent_name = agent_name or "agent" @@ -418,6 +414,171 @@ def _redacted_text_parts(self) -> list[dict[str, str]]: """Return a single redacted text part for system instructions.""" return [{"type": "text", "content": "readacted"}] + def _normalize_messages_to_role_parts( + self, messages: Sequence[Any] | None + ) -> list[dict[str, Any]]: + """Normalize input messages to enforced role+parts schema. + + Each message becomes: {"role": , "parts": [ {"type": ..., ...} ]} + Redaction: when include_sensitive_data is False, replace text content, + tool_call arguments, and tool_call_response result with "readacted". + """ + if not messages: + return [] + normalized: list[dict[str, Any]] = [] + for m in messages: + if not isinstance(m, dict): + # Fallback: treat as user text + normalized.append( + { + "role": "user", + "parts": [ + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else str(m), + } + ], + } + ) + continue + + role = m.get("role") or "user" + parts: list[dict[str, Any]] = [] + + # Existing parts array + if isinstance(m.get("parts"), (list, tuple)): + for p in m["parts"]: + if isinstance(p, dict): + ptype = p.get("type") or "text" + newp: dict[str, Any] = {"type": ptype} + if ptype == "text": + txt = p.get("content") or p.get("text") + newp["content"] = ( + "readacted" + if not self.include_sensitive_data + else (txt if isinstance(txt, str) else str(p)) + ) + elif ptype == "tool_call": + newp["id"] = p.get("id") + newp["name"] = p.get("name") + args = p.get("arguments") + newp["arguments"] = ( + "readacted" + if not self.include_sensitive_data + else args + ) + elif ptype == "tool_call_response": + newp["id"] = p.get("id") or m.get("tool_call_id") + result = p.get("result") or p.get("content") + newp["result"] = ( + "readacted" + if not self.include_sensitive_data + else result + ) + else: + newp["content"] = ( + "readacted" + if not self.include_sensitive_data + else str(p) + ) + parts.append(newp) + else: + parts.append( + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else str(p), + } + ) + + # OpenAI content + content = m.get("content") + if isinstance(content, str): + parts.append( + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else content, + } + ) + elif isinstance(content, (list, tuple)): + for item in content: + if isinstance(item, dict): + itype = item.get("type") or "text" + if itype == "text": + txt = item.get("text") or item.get("content") + parts.append( + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else ( + txt + if isinstance(txt, str) + else str(item) + ), + } + ) + else: + # Fallback for other part types + parts.append( + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else str(item), + } + ) + else: + parts.append( + { + "type": "text", + "content": "readacted" + if not self.include_sensitive_data + else str(item), + } + ) + + # Assistant tool_calls + if role == "assistant" and isinstance( + m.get("tool_calls"), (list, tuple) + ): + for tc in m["tool_calls"]: + if not isinstance(tc, dict): + continue + p = {"type": "tool_call"} + p["id"] = tc.get("id") + fn = tc.get("function") or {} + if isinstance(fn, dict): + p["name"] = fn.get("name") + args = fn.get("arguments") + p["arguments"] = ( + "readacted" + if not self.include_sensitive_data + else args + ) + parts.append(p) + + # Tool call response + if role in {"tool", "function"}: + p = {"type": "tool_call_response"} + p["id"] = m.get("tool_call_id") or m.get("id") + result = m.get("result") or m.get("content") + p["result"] = ( + "readacted" if not self.include_sensitive_data else result + ) + parts.append(p) + + normalized.append( + {"role": role, "parts": parts or self._redacted_text_parts()} + ) + + return normalized + def _infer_output_type(self, span_data: Any) -> str: """Infer gen_ai.output.type for multiple span kinds.""" if isinstance(span_data, FunctionSpanData): @@ -483,8 +644,7 @@ def on_trace_start(self, trace: Trace) -> None: attributes = { GEN_AI_PROVIDER_NAME: self.system_name, } - if self.emit_legacy: - attributes[GEN_AI_SYSTEM_LEGACY] = self.system_name + # Legacy emission removed # Add configured agent and server attributes if self.agent_name: @@ -544,8 +704,7 @@ def on_span_start(self, span: Span[Any]) -> None: GEN_AI_PROVIDER_NAME: self.system_name, GEN_AI_OPERATION_NAME: operation_name, } - if self.emit_legacy: - attributes[GEN_AI_SYSTEM_LEGACY] = self.system_name + # Legacy emission removed # Add configured agent and server attributes if self.agent_name: @@ -682,8 +841,7 @@ def _extract_genai_attributes( # Base attributes yield GEN_AI_PROVIDER_NAME, self.system_name - if self.emit_legacy: - yield GEN_AI_SYSTEM_LEGACY, self.system_name + # Legacy emission removed # Add configured agent attributes (always include when set) if self.agent_name: @@ -781,14 +939,12 @@ def _get_attributes_from_generation_span_data( # Sensitive data capture if self.include_sensitive_data: - # Input messages + # Input messages (normalized to role+parts) if self._capture_messages and span_data.input: - yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) - if self.emit_legacy: - yield ( - GEN_AI_PROMPT_LEGACY, - safe_json_dumps(span_data.input), - ) + normalized_in = self._normalize_messages_to_role_parts( + span_data.input + ) + yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(normalized_in) # System instructions if self._capture_system_instructions and span_data.input: @@ -804,14 +960,9 @@ def _get_attributes_from_generation_span_data( safe_json_dumps(sys_instr), ) - # Output messages + # Output messages (leave as-is; not normalized here) if self._capture_messages and span_data.output: yield GEN_AI_OUTPUT_MESSAGES, safe_json_dumps(span_data.output) - if self.emit_legacy: - yield ( - GEN_AI_COMPLETION_LEGACY, - safe_json_dumps(span_data.output), - ) # Output type yield ( @@ -920,8 +1071,7 @@ def _get_attributes_from_function_span_data( else str(span_data.input) ) yield GEN_AI_TOOL_CALL_ARGUMENTS, arg_val - if self.emit_legacy: - yield GEN_AI_TOOL_INPUT_LEGACY, arg_val + # Legacy emission removed if span_data.output is not None: res_val = ( @@ -930,8 +1080,7 @@ def _get_attributes_from_function_span_data( else str(span_data.output) ) yield GEN_AI_TOOL_CALL_RESULT, res_val - if self.emit_legacy: - yield GEN_AI_TOOL_OUTPUT_LEGACY, res_val + # Legacy emission removed yield ( GEN_AI_OUTPUT_TYPE, @@ -995,14 +1144,12 @@ def _get_attributes_from_response_span_data( # Input/output messages if self.include_sensitive_data: - # Input messages + # Input messages (normalized to role+parts) if self._capture_messages and span_data.input: - yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(span_data.input) - if self.emit_legacy: - yield ( - GEN_AI_PROMPT_LEGACY, - safe_json_dumps(span_data.input), - ) + normalized_in = self._normalize_messages_to_role_parts( + span_data.input + ) + yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(normalized_in) # System instructions if self._capture_system_instructions and span_data.input: @@ -1018,7 +1165,7 @@ def _get_attributes_from_response_span_data( safe_json_dumps(sys_instr), ) - # Output messages + # Output messages (leave as-is; not normalized here) if self._capture_messages: output_messages = getattr( getattr(span_data, "response", None), "output", None @@ -1039,11 +1186,6 @@ def _get_attributes_from_response_span_data( GEN_AI_OUTPUT_MESSAGES, safe_json_dumps(collected), ) - if self.emit_legacy: - yield ( - GEN_AI_COMPLETION_LEGACY, - safe_json_dumps(collected), - ) yield ( GEN_AI_OUTPUT_TYPE, From 91ee492427ed7c23e06066b846051c9205435e6c Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 30 Sep 2025 08:32:54 -0700 Subject: [PATCH 20/30] Fix ruff errors: remove unused variable; run ruff-format --- .../openai_agents/genai_semantic_processor.py | 121 ++++++++++++++---- 1 file changed, 96 insertions(+), 25 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index 7c662ca227..14eb6d7c2c 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -31,9 +31,6 @@ SpeechSpanData, TranscriptionSpanData, ) -from openai.types.responses import ( - ResponseOutputMessage, -) from opentelemetry.context import attach, detach from opentelemetry.metrics import Histogram, get_meter @@ -579,6 +576,81 @@ def _normalize_messages_to_role_parts( return normalized + def _normalize_output_messages_to_role_parts( + self, span_data: Any + ) -> list[dict[str, Any]]: + """Normalize output messages to enforced role+parts schema. + + Produces: [{"role": "assistant", "parts": [{"type": "text", "content": "..."}], + optional "finish_reason": "..." }] + """ + messages: list[dict[str, Any]] = [] + parts: list[dict[str, Any]] = [] + finish_reason: Optional[str] = None + + # Response span: prefer consolidated output_text + response = getattr(span_data, "response", None) + if response is not None: + # Collect text content + output_text = getattr(response, "output_text", None) + if isinstance(output_text, str) and output_text: + parts.append({"type": "text", "content": output_text}) + else: + output = getattr(response, "output", None) + if isinstance(output, Sequence): + for item in output: + # ResponseOutputMessage may have a string representation + txt = getattr(item, "content", None) + if isinstance(txt, str) and txt: + parts.append({"type": "text", "content": txt}) + else: + # Fallback: stringified + parts.append( + {"type": "text", "content": str(item)} + ) + # Capture finish_reason from parts when present + fr = getattr(item, "finish_reason", None) + if isinstance(fr, str) and not finish_reason: + finish_reason = fr + + # Generation span: use span_data.output + if not parts: + output = getattr(span_data, "output", None) + if isinstance(output, Sequence): + for item in output: + if isinstance(item, dict): + if item.get("type") == "text": + txt = item.get("content") or item.get("text") + if isinstance(txt, str) and txt: + parts.append({"type": "text", "content": txt}) + elif "content" in item and isinstance( + item["content"], str + ): + parts.append( + {"type": "text", "content": item["content"]} + ) + else: + parts.append( + {"type": "text", "content": str(item)} + ) + if not finish_reason and isinstance( + item.get("finish_reason"), str + ): + finish_reason = item.get("finish_reason") + elif isinstance(item, str): + parts.append({"type": "text", "content": item}) + else: + parts.append({"type": "text", "content": str(item)}) + + # Build assistant message + msg: dict[str, Any] = {"role": "assistant", "parts": parts} + if finish_reason: + msg["finish_reason"] = finish_reason + # Only include if there is content + if parts: + messages.append(msg) + return messages + def _infer_output_type(self, span_data: Any) -> str: """Infer gen_ai.output.type for multiple span kinds.""" if isinstance(span_data, FunctionSpanData): @@ -960,9 +1032,18 @@ def _get_attributes_from_generation_span_data( safe_json_dumps(sys_instr), ) - # Output messages (leave as-is; not normalized here) - if self._capture_messages and span_data.output: - yield GEN_AI_OUTPUT_MESSAGES, safe_json_dumps(span_data.output) + # Output messages (normalized to role+parts) + if self._capture_messages and ( + span_data.output or getattr(span_data, "response", None) + ): + normalized_out = self._normalize_output_messages_to_role_parts( + span_data + ) + if normalized_out: + yield ( + GEN_AI_OUTPUT_MESSAGES, + safe_json_dumps(normalized_out), + ) # Output type yield ( @@ -1165,27 +1246,17 @@ def _get_attributes_from_response_span_data( safe_json_dumps(sys_instr), ) - # Output messages (leave as-is; not normalized here) + # Output messages (normalized to role+parts) if self._capture_messages: - output_messages = getattr( - getattr(span_data, "response", None), "output", None + # normalized from span_data response/output + normalized_out = self._normalize_output_messages_to_role_parts( + span_data ) - if output_messages: - collected = [] - for part in output_messages: - if isinstance(part, ResponseOutputMessage): - content = getattr( - getattr(span_data, "response", None), - "output_text", - None, - ) - if content: - collected.append(content) - if collected: - yield ( - GEN_AI_OUTPUT_MESSAGES, - safe_json_dumps(collected), - ) + if normalized_out: + yield ( + GEN_AI_OUTPUT_MESSAGES, + safe_json_dumps(normalized_out), + ) yield ( GEN_AI_OUTPUT_TYPE, From dd2fd58925f3c015728c10d075d00581b4eec7dc Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 30 Sep 2025 08:35:52 -0700 Subject: [PATCH 21/30] GenAI: redact output message text when include_sensitive_data is False in normalized output schema --- .../openai_agents/genai_semantic_processor.py | 82 +++++++++++++++++-- 1 file changed, 74 insertions(+), 8 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py index 14eb6d7c2c..78b629670c 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py @@ -594,7 +594,16 @@ def _normalize_output_messages_to_role_parts( # Collect text content output_text = getattr(response, "output_text", None) if isinstance(output_text, str) and output_text: - parts.append({"type": "text", "content": output_text}) + parts.append( + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else output_text + ), + } + ) else: output = getattr(response, "output", None) if isinstance(output, Sequence): @@ -602,11 +611,27 @@ def _normalize_output_messages_to_role_parts( # ResponseOutputMessage may have a string representation txt = getattr(item, "content", None) if isinstance(txt, str) and txt: - parts.append({"type": "text", "content": txt}) + parts.append( + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else txt + ), + } + ) else: # Fallback: stringified parts.append( - {"type": "text", "content": str(item)} + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else str(item) + ), + } ) # Capture finish_reason from parts when present fr = getattr(item, "finish_reason", None) @@ -622,25 +647,66 @@ def _normalize_output_messages_to_role_parts( if item.get("type") == "text": txt = item.get("content") or item.get("text") if isinstance(txt, str) and txt: - parts.append({"type": "text", "content": txt}) + parts.append( + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else txt + ), + } + ) elif "content" in item and isinstance( item["content"], str ): parts.append( - {"type": "text", "content": item["content"]} + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else item["content"] + ), + } ) else: parts.append( - {"type": "text", "content": str(item)} + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else str(item) + ), + } ) if not finish_reason and isinstance( item.get("finish_reason"), str ): finish_reason = item.get("finish_reason") elif isinstance(item, str): - parts.append({"type": "text", "content": item}) + parts.append( + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else item + ), + } + ) else: - parts.append({"type": "text", "content": str(item)}) + parts.append( + { + "type": "text", + "content": ( + "readacted" + if not self.include_sensitive_data + else str(item) + ), + } + ) # Build assistant message msg: dict[str, Any] = {"role": "assistant", "parts": parts} From bce0b4e77a3779be0aa7bbb9cf5921075aa83b76 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Thu, 2 Oct 2025 14:21:13 -0700 Subject: [PATCH 22/30] feat(openai-agents): add GenAI attribute constants (attributes-only branch) --- .../CHANGELOG.md | 17 - .../README.rst | 56 - .../examples/.env.example | 31 - .../examples/README.md | 60 - .../examples/basic_usage.py | 208 --- .../examples/enhanced_travel_planner.py | 1033 ------------ .../examples/mcp_hotel_capture_all.py | 194 --- .../.env.example | 65 - .../README.md | 256 --- .../requirements.txt | 24 - .../examples/quickstart.py | 71 - .../examples/trace_collectors.py | 86 - .../examples/weekend_planner_appinsights.py | 280 ++++ .../pyproject.toml | 12 +- .../instrumentation/openai_agents/__init__.py | 102 +- .../openai_agents/constants.py | 72 +- .../instrumentation/openai_agents/events.py | 127 -- .../openai_agents/genai_semantic_processor.py | 1427 ----------------- .../openai_agents/instruments.py | 91 -- .../instrumentation/openai_agents/package.py | 2 +- .../instrumentation/openai_agents/utils.py | 77 - .../tests/__init__.py | 13 - .../tests/test_openai_agents.py | 72 - .../tests/test_utils.py | 92 -- 24 files changed, 322 insertions(+), 4146 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py create mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md deleted file mode 100644 index d986784ce7..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md +++ /dev/null @@ -1,17 +0,0 @@ -# Changelog - -## Unreleased - -### Added - -- Initial implementation of OpenAI Agents instrumentation ([#3762](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3762)) - -### Changed - -### Deprecated - -### Removed - -### Fixed - -### Security diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst deleted file mode 100644 index 54ca2bfec2..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/README.rst +++ /dev/null @@ -1,56 +0,0 @@ -OpenTelemetry OpenAI Agents Instrumentation -=========================================== - -|pypi| - -.. |pypi| image:: https://badge.fury.io/py/opentelemetry-instrumentation-openai-agents.svg - :target: https://pypi.org/project/opentelemetry-instrumentation-openai-agents/ - -This library instruments the `OpenAI Agents framework `_ -to trace requests and log messages flowing through agents. It also captures operation duration and -token usage as metrics. - -Installation ------------- - -:: - - pip install opentelemetry-instrumentation-openai-agents - -Dependency note ---------------- - -This instrumentation integrates with the OpenAI Agents framework via the -`openai-agents `_ package. Ensure -``openai-agents>=0.3.2`` is installed in environments where agent events are -emitted; otherwise, the instrumentor will load but skip processor setup. - -Usage ------ - -.. code:: python - - from openai import OpenAI - from opentelemetry.instrumentation.openai_agents import OpenAIAgentsInstrumentor - - OpenAIAgentsInstrumentor().instrument() - - # Your OpenAI agents code here - client = OpenAI() - -API ---- - -The `opentelemetry-instrumentation-openai-agents` package provides automatic instrumentation for the OpenAI Agents framework. - -Configuration --------------- - -This instrumentation captures content, metrics, and events by default with no additional configuration required. -If you are installing and setting up this tracing library, the assumption is you want full capture. - -References ----------- - -* `OpenTelemetry Project `_ -* `OpenAI Python API Library `_ diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example deleted file mode 100644 index e67fa4b66a..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/.env.example +++ /dev/null @@ -1,31 +0,0 @@ -# OpenAI Agents Instrumentation Configuration Example -# =================================================== - -# Copy this file to your project and modify as needed -# Set these environment variables to configure the instrumentation - -# Enable/disable content capture (request/response bodies) -# Default: false - -# Standard OpenTelemetry configuration -# Set your service name -OTEL_SERVICE_NAME=my-openai-agents-service - -# Set your service version -OTEL_SERVICE_VERSION=1.0.0 - -# Set your resource attributes -OTEL_RESOURCE_ATTRIBUTES=service.name=my-openai-agents-service,service.version=1.0.0 - -# Configure exporters (example for OTLP) -# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 -# OTEL_EXPORTER_OTLP_HEADERS=api-key=your-api-key - -# Configure trace exporters -# OTEL_TRACES_EXPORTER=otlp - -# Configure metrics exporters -# OTEL_METRICS_EXPORTER=otlp - -# Configure logs exporters -# OTEL_LOGS_EXPORTER=otlp diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md deleted file mode 100644 index fb2b3b9732..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/README.md +++ /dev/null @@ -1,60 +0,0 @@ -# OpenAI Agents Instrumentation Examples - -This directory contains examples of how to use the OpenAI Agents instrumentation. - -## Files - -- `quickstart.py` - Minimal OpenTelemetry setup and OpenAI chat sample. -- `basic_usage.py` - Tool-calling airline demo (no Azure Monitor). -- `mcp_hotel_capture_all.py` - MCP HTTP hotel finder sample (no Azure Monitor). -- `enhanced_travel_planner.py` - Complex orchestration travel planner (console exporter). -- `trace_collectors.py` - Showcase of Console, OTLP gRPC/HTTP, and Azure Monitor exporters. -- `.env.example` - Example environment variables configuration. - -## Basic Usage - -1. Install the package: - ```bash - pip install opentelemetry-instrumentation-openai-agents - ``` - -2. Set up your environment variables (copy `.env.example` to `.env` and modify as needed): - ```bash - cp .env.example .env - ``` - -3. Run the basic example: - ```bash - python examples/quickstart.py - ``` - -## Configuration - -Content, metrics, and events are captured by default. - -## Integration with Agent Frameworks - -This instrumentation is designed to work with OpenAI-based agent frameworks. Common use cases include: - -- Multi-agent systems -- Conversational AI applications -- Automated reasoning systems -- Task-oriented agents - -## Observability Features - -The instrumentation provides: - -- **Distributed tracing** - Track requests across agent interactions -- **Metrics collection** - Monitor token usage, latency, and error rates -- **Content capture** - Optional logging of request/response content -- **Error tracking** - Automatic error status recording - -## Security Considerations - -When enabling content capture, be aware that: - -- Request and response content may contain sensitive information -- Content is included in telemetry data -- Ensure your telemetry backend has appropriate security measures -- Consider data retention policies for captured content diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py deleted file mode 100644 index 97931ea437..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/basic_usage.py +++ /dev/null @@ -1,208 +0,0 @@ -from __future__ import annotations as _annotations - -import asyncio - -####################################### -import os -import random -import uuid - -from agents import ( - Agent, - HandoffOutputItem, - ItemHelpers, - MessageOutputItem, - RunContextWrapper, - Runner, - ToolCallItem, - ToolCallOutputItem, - TResponseInputItem, - function_tool, - handoff, - set_default_openai_client, - trace, -) -from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX -from dotenv import load_dotenv -from openai import AsyncAzureOpenAI -from pydantic import BaseModel - -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) - -load_dotenv() - - -OpenAIAgentsInstrumentor().instrument() - -custom_client = AsyncAzureOpenAI( - azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"], - azure_deployment="gpt-4.1-mini", - api_version=os.environ["AZURE_OPENAI_API_VERSION"], - api_key=os.environ["AZURE_OPENAI_API_KEY"], -) - -set_default_openai_client(custom_client, use_for_tracing=False) - -####################################### - - -### CONTEXT - - -class AirlineAgentContext(BaseModel): - passenger_name: str | None = None - confirmation_number: str | None = None - seat_number: str | None = None - flight_number: str | None = None - - -### TOOLS - - -@function_tool( - name_override="faq_lookup_tool", - description_override="Lookup frequently asked questions.", -) -async def faq_lookup_tool(question: str) -> str: - if "bag" in question or "baggage" in question: - return ( - "You are allowed to bring one bag on the plane. " - "It must be under 50 pounds and 22 inches x 14 inches x 9 inches." - ) - elif "seats" in question or "plane" in question: - return ( - "There are 120 seats on the plane. " - "There are 22 business class seats and 98 economy seats. " - "Exit rows are rows 4 and 16. " - "Rows 5-8 are Economy Plus, with extra legroom. " - ) - elif "wifi" in question: - return "We have free wifi on the plane, join Airline-Wifi" - return "I'm sorry, I don't know the answer to that question." - - -@function_tool -async def update_seat( - context: RunContextWrapper[AirlineAgentContext], - confirmation_number: str, - new_seat: str, -) -> str: - """ - Update the seat for a given confirmation number. - - Args: - confirmation_number: The confirmation number for the flight. - new_seat: The new seat to update to. - """ - # Update the context based on the customer's input - context.context.confirmation_number = confirmation_number - context.context.seat_number = new_seat - # Ensure that the flight number has been set by the incoming handoff - assert ( - context.context.flight_number is not None - ), "Flight number is required" - return f"Updated seat to {new_seat} for confirmation number {confirmation_number}" - - -### HOOKS - - -async def on_seat_booking_handoff( - context: RunContextWrapper[AirlineAgentContext], -) -> None: - flight_number = f"FLT-{random.randint(100, 999)}" - context.context.flight_number = flight_number - - -### AGENTS - -faq_agent = Agent[AirlineAgentContext]( - name="FAQ Agent", - handoff_description="A helpful agent that can answer questions about the airline.", - instructions=f"""{RECOMMENDED_PROMPT_PREFIX} - You are an FAQ agent. If you are speaking to a customer, you probably were transferred to from the triage agent. - Use the following routine to support the customer. - # Routine - 1. Identify the last question asked by the customer. - 2. Use the faq lookup tool to answer the question. Do not rely on your own knowledge. - 3. If you cannot answer the question, transfer back to the triage agent.""", - tools=[faq_lookup_tool], -) - -seat_booking_agent = Agent[AirlineAgentContext]( - name="Seat Booking Agent", - handoff_description="A helpful agent that can update a seat on a flight.", - instructions=f"""{RECOMMENDED_PROMPT_PREFIX} - You are a seat booking agent. If you are speaking to a customer, you probably were transferred to from the triage agent. - Use the following routine to support the customer. - # Routine - 1. Ask for their confirmation number. - 2. Ask the customer what their desired seat number is. - 3. Use the update seat tool to update the seat on the flight. - If the customer asks a question that is not related to the routine, transfer back to the triage agent. """, - tools=[update_seat], -) - -triage_agent = Agent[AirlineAgentContext]( - name="Triage Agent", - handoff_description="A triage agent that can delegate a customer's request to the appropriate agent.", - instructions=( - f"{RECOMMENDED_PROMPT_PREFIX} " - "You are a helpful triaging agent. You can use your tools to delegate questions to other appropriate agents." - ), - handoffs=[ - faq_agent, - handoff(agent=seat_booking_agent, on_handoff=on_seat_booking_handoff), - ], -) - -faq_agent.handoffs.append(triage_agent) -seat_booking_agent.handoffs.append(triage_agent) - - -### RUN - - -async def main(): - current_agent: Agent[AirlineAgentContext] = triage_agent - input_items: list[TResponseInputItem] = [] - context = AirlineAgentContext() - - # Normally, each input from the user would be an API request to your app, and you can wrap the request in a trace() - # Here, we'll just use a random UUID for the conversation ID - conversation_id = uuid.uuid4().hex[:16] - - while True: - user_input = input("Enter your message: ") - with trace("Customer service", group_id=conversation_id): - input_items.append({"content": user_input, "role": "user"}) - result = await Runner.run( - current_agent, input_items, context=context - ) - - for new_item in result.new_items: - agent_name = new_item.agent.name - if isinstance(new_item, MessageOutputItem): - print( - f"{agent_name}: {ItemHelpers.text_message_output(new_item)}" - ) - elif isinstance(new_item, HandoffOutputItem): - print( - f"Handed off from {new_item.source_agent.name} to {new_item.target_agent.name}" - ) - elif isinstance(new_item, ToolCallItem): - print(f"{agent_name}: Calling a tool") - elif isinstance(new_item, ToolCallOutputItem): - print(f"{agent_name}: Tool call output: {new_item.output}") - else: - print( - f"{agent_name}: Skipping item: {new_item.__class__.__name__}" - ) - input_items = result.to_input_list() - current_agent = result.last_agent - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py deleted file mode 100644 index 65e0f9090d..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/enhanced_travel_planner.py +++ /dev/null @@ -1,1033 +0,0 @@ -"""Enhanced Multi-Agent Travel Planning System using OpenAI Agents with OpenTelemetry instrumentation.""" - -import asyncio -import json -import os -import urllib.parse -import urllib.request -from datetime import datetime -from typing import Any, Dict, List, Optional -from uuid import uuid4 - -# Azure Monitor exporter removed for this sample -from agents import ( - Agent, - HandoffInputData, - OpenAIChatCompletionsModel, - Runner, - function_tool, - handoff, -) -from agents import ( - trace as agents_trace, -) -from agents.extensions import handoff_filters -from dotenv import load_dotenv -from openai import AsyncAzureOpenAI, AsyncOpenAI -from pydantic import BaseModel, Field - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.instrumentation.openai_agents.genai_semantic_processor import ( - GenAISemanticProcessor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -TRACER = trace.get_tracer(__name__) - -# Agent metadata constants -AGENT_VERSION = "1.0.0" -AGENT_SYSTEM_ID = "travel-planner-system" -AGENT_SYSTEM_NAME = "Enhanced Travel Planning System" - - -class TripDetails(BaseModel): - destination: str - origin: str - departure_date: str - return_date: str - travelers: int = Field(default=2, gt=0) - trip_type: str = Field(default="leisure") - budget: Optional[float] = None - preferences: List[str] = Field(default_factory=list) - - -class FlightRecommendation(BaseModel): - airline: str - flight_number: str - departure_time: str - arrival_time: str - price: float - duration: str - - -class HotelRecommendation(BaseModel): - name: str - rating: float - price_per_night: float - location: str - amenities: List[str] - - -class ActivityRecommendation(BaseModel): - name: str - category: str - duration: str - price: float - description: str - - -class BudgetAnalysis(BaseModel): - total_cost: float - per_person_cost: float - flight_cost: float - hotel_cost: float - activity_cost: float - meals_cost: float - miscellaneous: float - budget_category: str - - -class CompleteTravelPlan(BaseModel): - trip_summary: str - flights: List[FlightRecommendation] - hotels: List[HotelRecommendation] - activities: List[ActivityRecommendation] - budget: BudgetAnalysis - day_by_day_itinerary: Dict[str, List[str]] - important_notes: List[str] - - -def _configure_otel(session_id: str) -> GenAISemanticProcessor: - """Configure OpenTelemetry with GenAI semantic processor.""" - resource = Resource.create( - { - "service.name": "openai-agents-enhanced-travel-planner", - "service.version": AGENT_VERSION, - "deployment.environment": os.getenv( - "DEPLOYMENT_ENV", "development" - ), - "service.instance.id": session_id, - "service.namespace": "travel-planning", - } - ) - - tp = TracerProvider(resource=resource) - tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) - - trace.set_tracer_provider(tp) - - tracer = trace.get_tracer( - "openai-agents-enhanced-travel-planner", - AGENT_VERSION, - schema_url="https://opentelemetry.io/schemas/1.27.0", - ) - - provider = "openai" - base_url = os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1") - - endpoint = os.getenv("AZURE_OPENAI_ENDPOINT", "") - if endpoint: - provider = "azure.ai.inference" - base_url = endpoint.rstrip("/") - for suffix in ("/openai", "/openai/v1", "/openai/v1/"): - if base_url.endswith(suffix): - base_url = base_url[: -len(suffix)] - break - - # Enhanced agent metadata with session-specific ID - agent_id = f"{AGENT_SYSTEM_ID}-{session_id[:8]}" - - genai_processor = GenAISemanticProcessor( - tracer=tracer, - event_logger=None, - system_name=provider, - include_sensitive_data=True, - base_url=base_url, - emit_legacy=False, - agent_name=AGENT_SYSTEM_NAME, - agent_id=agent_id, - agent_description=( - "Multi-agent travel planning system with specialized agents: " - "Coordinator, Flight Specialist, Hotel Specialist, Activity Specialist, Budget Analyst, and Plan Synthesizer" - ), - server_address=None, - server_port=None, - ) - - return genai_processor - - -def _build_async_client() -> AsyncOpenAI: - endpoint = os.getenv("AZURE_OPENAI_ENDPOINT", "") - key = os.getenv("AZURE_OPENAI_API_KEY") - api_version = os.getenv("AZURE_OPENAI_API_VERSION", "2024-08-01-preview") - public_key = os.getenv("OPENAI_API_KEY") - - if endpoint and key: - endpoint = endpoint.rstrip("/") - for suffix in ("/openai", "/openai/v1", "/openai/v1/"): - if endpoint.endswith(suffix): - endpoint = endpoint[: -len(suffix)] - break - return AsyncAzureOpenAI( - azure_endpoint=endpoint, - api_key=key, - api_version=api_version, - ) - elif public_key: - return AsyncOpenAI(api_key=public_key) - else: - raise SystemExit( - "Set AZURE_OPENAI_* or OPENAI_API_KEY environment variables" - ) - - -def _build_model( - client: AsyncOpenAI, temperature: float = 0.7 -) -> OpenAIChatCompletionsModel: - model_name = ( - os.getenv("AZURE_OPENAI_DEPLOYMENT") - or os.getenv("OPENAI_MODEL") - or "gpt-4o-mini" - ) - return OpenAIChatCompletionsModel( - model=model_name, - openai_client=client, - ) - - -def _http_json(url: str, timeout: float = 5.0) -> Dict[str, Any]: - try: - with urllib.request.urlopen(url, timeout=timeout) as resp: - return json.loads(resp.read().decode("utf-8")) - except Exception: - return {} - - -@function_tool -async def search_flights( - origin: str, - destination: str, - departure_date: str, - return_date: str, - travelers: int = 2, -) -> str: - flights_data = { - ("Seattle", "London"): [ - { - "airline": "British Airways", - "flight": "BA048", - "dep": "13:25", - "arr": "06:50+1", - "price": 875, - }, - { - "airline": "Delta", - "flight": "DL030", - "dep": "15:45", - "arr": "09:10+1", - "price": 925, - }, - { - "airline": "Virgin Atlantic", - "flight": "VS105", - "dep": "09:30", - "arr": "03:00+1", - "price": 810, - }, - ], - ("Seattle", "Paris"): [ - { - "airline": "Air France", - "flight": "AF367", - "dep": "12:40", - "arr": "07:55+1", - "price": 895, - }, - { - "airline": "Delta", - "flight": "DL166", - "dep": "14:20", - "arr": "09:35+1", - "price": 945, - }, - ], - ("Seattle", "Tokyo"): [ - { - "airline": "ANA", - "flight": "NH177", - "dep": "13:20", - "arr": "16:25+1", - "price": 1250, - }, - { - "airline": "Delta", - "flight": "DL167", - "dep": "12:49", - "arr": "15:55+1", - "price": 1320, - }, - ], - } - - key = (origin, destination) - flights = flights_data.get( - key, - [ - { - "airline": "Generic Air", - "flight": "GA001", - "dep": "10:00", - "arr": "22:00", - "price": 750, - } - ], - ) - - result = f"✈️ Found {len(flights)} round-trip flights from {origin} to {destination}:\n\n" - for i, flight in enumerate(flights, 1): - total_price = flight["price"] * travelers * 2 - result += f"{i}. {flight['airline']} {flight['flight']}\n" - result += f" Outbound {departure_date}: Depart {flight['dep']} → Arrive {flight['arr']}\n" - result += f" Return {return_date}: Similar times\n" - result += f" Price: ${total_price:,} total for {travelers} travelers (round-trip)\n\n" - - return result - - -@function_tool -async def search_hotels( - destination: str, check_in: str, check_out: str, travelers: int = 2 -) -> str: - hotels_data = { - "London": [ - { - "name": "The Langham", - "rating": 5, - "price": 450, - "location": "Regent Street", - "amenities": [ - "Spa", - "Fitness Center", - "Restaurant", - "Business Center", - "Concierge", - ], - }, - { - "name": "Premier Inn London County Hall", - "rating": 4, - "price": 155, - "location": "Westminster", - "amenities": [ - "WiFi", - "Restaurant", - "24-hour Reception", - "Air Conditioning", - ], - }, - { - "name": "The Zetter Townhouse", - "rating": 4.5, - "price": 285, - "location": "Marylebone", - "amenities": [ - "Boutique", - "Bar", - "WiFi", - "Room Service", - "Unique Decor", - ], - }, - ], - "Paris": [ - { - "name": "Hôtel Plaza Athénée", - "rating": 5, - "price": 850, - "location": "Avenue Montaigne", - "amenities": [ - "Michelin Restaurant", - "Spa", - "Designer Rooms", - "Eiffel Tower View", - ], - }, - { - "name": "Hotel Malte Opera", - "rating": 4, - "price": 220, - "location": "Opera District", - "amenities": [ - "Central Location", - "WiFi", - "Breakfast", - "Concierge", - ], - }, - ], - "Tokyo": [ - { - "name": "Park Hyatt Tokyo", - "rating": 5, - "price": 680, - "location": "Shinjuku", - "amenities": [ - "City Views", - "Pool", - "Spa", - "Multiple Restaurants", - "Gym", - ], - }, - { - "name": "Hotel Gracery Shinjuku", - "rating": 4, - "price": 180, - "location": "Shinjuku", - "amenities": [ - "Godzilla View", - "Restaurant", - "WiFi", - "Central Location", - ], - }, - ], - } - - hotels = hotels_data.get( - destination, - [ - { - "name": "Standard Hotel", - "rating": 3.5, - "price": 150, - "location": "City Center", - "amenities": ["WiFi", "Breakfast", "24-hour Reception"], - } - ], - ) - - from datetime import datetime - - nights = ( - datetime.fromisoformat(check_out) - datetime.fromisoformat(check_in) - ).days - - result = f"🏨 Found {len(hotels)} hotels in {destination} for {nights} nights:\n\n" - for i, hotel in enumerate(hotels, 1): - total_price = ( - hotel["price"] * nights * (travelers // 2 + travelers % 2) - ) - result += f"{i}. {hotel['name']} ({hotel['rating']}⭐)\n" - result += f" Location: {hotel['location']}\n" - result += ( - f" Price: ${hotel['price']}/night (${total_price:,} total)\n" - ) - result += f" Amenities: {', '.join(hotel['amenities'][:3])}\n\n" - - return result - - -@function_tool -async def search_activities( - destination: str, trip_type: str = "leisure" -) -> str: - activities_data = { - "London": [ - { - "name": "British Museum Tour", - "category": "Cultural", - "duration": "3 hours", - "price": 0, - }, - { - "name": "Tower of London", - "category": "Historical", - "duration": "2-3 hours", - "price": 35, - }, - { - "name": "West End Theater Show", - "category": "Entertainment", - "duration": "2.5 hours", - "price": 85, - }, - { - "name": "Thames River Cruise", - "category": "Sightseeing", - "duration": "1 hour", - "price": 25, - }, - { - "name": "Harry Potter Studio Tour", - "category": "Entertainment", - "duration": "4 hours", - "price": 55, - }, - ], - "Paris": [ - { - "name": "Louvre Museum", - "category": "Cultural", - "duration": "3-4 hours", - "price": 20, - }, - { - "name": "Eiffel Tower Summit", - "category": "Sightseeing", - "duration": "2 hours", - "price": 35, - }, - { - "name": "Seine River Dinner Cruise", - "category": "Dining", - "duration": "2 hours", - "price": 120, - }, - { - "name": "Versailles Day Trip", - "category": "Historical", - "duration": "Full day", - "price": 45, - }, - ], - "Tokyo": [ - { - "name": "Senso-ji Temple", - "category": "Cultural", - "duration": "2 hours", - "price": 0, - }, - { - "name": "Robot Restaurant Show", - "category": "Entertainment", - "duration": "2 hours", - "price": 95, - }, - { - "name": "Mt. Fuji Day Trip", - "category": "Nature", - "duration": "Full day", - "price": 150, - }, - { - "name": "Sushi Making Class", - "category": "Culinary", - "duration": "3 hours", - "price": 85, - }, - ], - } - - activities = activities_data.get( - destination, - [ - { - "name": "City Walking Tour", - "category": "Sightseeing", - "duration": "2 hours", - "price": 30, - } - ], - ) - - if trip_type == "business": - activities = [ - a - for a in activities - if a["category"] in ["Dining", "Entertainment"] - ][:3] - elif trip_type == "family": - activities = [a for a in activities if a["price"] < 100][:4] - elif trip_type == "romantic": - activities = [ - a - for a in activities - if a["category"] in ["Dining", "Sightseeing", "Entertainment"] - ][:3] - - result = f"🎯 Top activities in {destination} for {trip_type} travel:\n\n" - for i, activity in enumerate(activities, 1): - result += f"{i}. {activity['name']}\n" - result += f" Category: {activity['category']} | Duration: {activity['duration']}\n" - result += f" Price: ${activity['price']} per person\n\n" - - return result - - -@function_tool -async def get_weather_forecast(destination: str, date: str) -> str: - weather_patterns = { - "London": { - "temp_high": 18, - "temp_low": 11, - "condition": "Partly cloudy", - "rain_chance": 40, - }, - "Paris": { - "temp_high": 22, - "temp_low": 14, - "condition": "Sunny", - "rain_chance": 20, - }, - "Tokyo": { - "temp_high": 26, - "temp_low": 19, - "condition": "Clear", - "rain_chance": 10, - }, - } - - weather = weather_patterns.get( - destination, - { - "temp_high": 20, - "temp_low": 12, - "condition": "Variable", - "rain_chance": 30, - }, - ) - - result = f"🌤️ Weather forecast for {destination} around {date}:\n" - result += ( - f"High: {weather['temp_high']}°C / Low: {weather['temp_low']}°C\n" - ) - result += f"Conditions: {weather['condition']}\n" - result += f"Chance of rain: {weather['rain_chance']}%" - - return result - - -@function_tool -async def analyze_trip_budget( - flight_cost: float, - hotel_cost: float, - activity_costs: List[float], - travelers: int, - nights: int, -) -> str: - total_activities = sum(activity_costs) * travelers - meal_cost_per_day = 60 - total_meals = meal_cost_per_day * nights * travelers - subtotal = flight_cost + hotel_cost + total_activities + total_meals - miscellaneous = subtotal * 0.15 - grand_total = subtotal + miscellaneous - per_person = grand_total / travelers - - if per_person < 1500: - category = "Budget-Friendly" - emoji = "💰" - elif per_person < 2500: - category = "Moderate" - emoji = "💵" - elif per_person < 4000: - category = "Premium" - emoji = "💎" - else: - category = "Luxury" - emoji = "👑" - - result = f"{emoji} Trip Budget Analysis - {category}\n" - result += "=" * 40 + "\n" - result += f"✈️ Flights: ${flight_cost:,.2f}\n" - result += f"🏨 Hotels ({nights} nights): ${hotel_cost:,.2f}\n" - result += f"🎯 Activities: ${total_activities:,.2f}\n" - result += f"🍽️ Meals: ${total_meals:,.2f}\n" - result += f"💼 Miscellaneous: ${miscellaneous:,.2f}\n" - result += "=" * 40 + "\n" - result += f"💵 Total: ${grand_total:,.2f}\n" - result += f"👤 Per Person: ${per_person:,.2f}\n" - - return result - - -def create_coordinator_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Travel Coordinator", - instructions="""Extract trip details (destination, dates, travelers, budget, preferences) and hand off to Flight Specialist.""", - model=model, - output_type=TripDetails, - ) - # Add metadata as custom attributes - agent.agent_id = f"coordinator-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_flight_specialist_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Flight Specialist", - handoff_description="Hand off to Flight Specialist to search for flights", - instructions="""Search for optimal flights and check weather. Hand off to Hotel Specialist.""", - model=model, - tools=[search_flights, get_weather_forecast], - ) - agent.agent_id = f"flight-specialist-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_hotel_specialist_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Hotel Specialist", - handoff_description="Hand off to Hotel Specialist to find accommodations", - instructions="""Search for suitable hotels. Hand off to Activity Specialist.""", - model=model, - tools=[search_hotels], - ) - agent.agent_id = f"hotel-specialist-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_activity_specialist_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Activity Specialist", - handoff_description="Hand off to Activity Specialist to plan activities", - instructions="""Research activities and attractions. Hand off to Budget Analyst.""", - model=model, - tools=[search_activities, get_weather_forecast], - ) - agent.agent_id = f"activity-specialist-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_budget_analyst_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Budget Analyst", - handoff_description="Hand off to Budget Analyst for cost analysis", - instructions="""Calculate total trip costs. Hand off to Plan Synthesizer.""", - model=model, - tools=[analyze_trip_budget], - ) - agent.agent_id = f"budget-analyst-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_plan_synthesizer_agent( - model: OpenAIChatCompletionsModel, session_id: str -) -> Agent: - agent = Agent( - name="Plan Synthesizer", - handoff_description="Hand off to Plan Synthesizer to create final plan", - instructions="""Create comprehensive travel plan with summary, flights, hotels, activities, budget, and itinerary.""", - model=model, - output_type=str, - ) - agent.agent_id = f"plan-synthesizer-{session_id[:8]}" - agent.agent_version = AGENT_VERSION - return agent - - -def create_handoff_chain(agents: Dict[str, Agent]) -> None: - def preserve_trip_details( - handoff_data: HandoffInputData, - ) -> HandoffInputData: - return handoff_data - - def summarize_for_budget( - handoff_data: HandoffInputData, - ) -> HandoffInputData: - return handoff_filters.remove_all_tools(handoff_data) - - agents["coordinator"].handoffs = [ - handoff( - agents["flight_specialist"], input_filter=preserve_trip_details - ) - ] - agents["flight_specialist"].handoffs = [ - handoff(agents["hotel_specialist"], input_filter=preserve_trip_details) - ] - agents["hotel_specialist"].handoffs = [ - handoff( - agents["activity_specialist"], input_filter=preserve_trip_details - ) - ] - agents["activity_specialist"].handoffs = [ - handoff(agents["budget_analyst"], input_filter=summarize_for_budget) - ] - agents["budget_analyst"].handoffs = [ - handoff(agents["plan_synthesizer"], input_filter=preserve_trip_details) - ] - - -async def run_travel_planning(user_request: str) -> str: - session_id = str(uuid4()) - - # Configure OpenTelemetry with session-specific ID - genai_processor = _configure_otel(session_id) - - # Set additional context via environment variables for this session - os.environ["OTEL_GENAI_CONVERSATION_ID"] = session_id - os.environ["OTEL_GENAI_SESSION_ID"] = session_id - - # Instrument with the GenAI processor - OpenAIAgentsInstrumentor().instrument(trace_processor=genai_processor) - - client = _build_async_client() - - # Create agents with session-specific IDs - agents = { - "coordinator": create_coordinator_agent( - _build_model(client, temperature=0.3), session_id - ), - "flight_specialist": create_flight_specialist_agent( - _build_model(client, temperature=0.5), session_id - ), - "hotel_specialist": create_hotel_specialist_agent( - _build_model(client, temperature=0.5), session_id - ), - "activity_specialist": create_activity_specialist_agent( - _build_model(client, temperature=0.7), session_id - ), - "budget_analyst": create_budget_analyst_agent( - _build_model(client, temperature=0.3), session_id - ), - "plan_synthesizer": create_plan_synthesizer_agent( - _build_model(client, temperature=0.5), session_id - ), - } - - create_handoff_chain(agents) - - with agents_trace(workflow_name=f"travel_planning_{session_id}"): - # Add span attributes for the workflow - with TRACER.start_as_current_span("travel_planning_workflow") as span: - span.set_attribute("workflow.session_id", session_id) - span.set_attribute("workflow.agent_count", len(agents)) - span.set_attribute( - "workflow.user_request", user_request[:200] - ) # Truncate for privacy - - coordinator_result = await Runner.run( - agents["coordinator"], user_request - ) - raw_trip_details = coordinator_result.final_output - - trip_details: Optional[TripDetails] = None - if isinstance(raw_trip_details, TripDetails): - trip_details = raw_trip_details - else: - parsed: Optional[Dict[str, Any]] = None - if isinstance(raw_trip_details, dict): - parsed = raw_trip_details - elif isinstance(raw_trip_details, str): - try: - parsed = json.loads(raw_trip_details) - except Exception: - import re - - text = raw_trip_details - - def _match(pattern: str) -> Optional[str]: - match = re.search( - pattern, text, flags=re.IGNORECASE - ) - if match: - return match.group(1).strip() - return None - - origin = _match( - r"from\s+([A-Za-z\s]+?)(?:\s+to|\.|,|\n)" - ) - destination = _match(r"to\s+([A-Za-z\s]+?)(?:\.|,|\n)") - dep = _match( - r"depart?(?:\s+date)?[:\-]?\s*(\d{4}-\d{2}-\d{2}|[A-Za-z]+\s+\d{1,2})" - ) - ret = _match( - r"return(?:\s+date)?[:\-]?\s*(\d{4}-\d{2}-\d{2}|[A-Za-z]+\s+\d{1,2})" - ) - travelers = _match( - r"(\d+)\s+(?:traveler|people|persons|adults|guests)" - ) - trip_type = _match( - r"(business|leisure|family|romantic|adventure|cultural)" - ) - budget = _match(r"\$?([0-9]{3,6})") - - def _normalize_date( - val: Optional[str], - ) -> Optional[str]: - if not val: - return None - if re.match(r"\d{4}-\d{2}-\d{2}", val): - return val - try: - dt = datetime.strptime( - val + " " + str(datetime.now().year), - "%B %d %Y", - ) - return dt.date().isoformat() - except Exception: - return None - - parsed = {} - if origin: - parsed["origin"] = origin.title() - if destination: - parsed["destination"] = destination.title() - if dep: - parsed["departure_date"] = ( - _normalize_date(dep) or dep - ) - if ret: - parsed["return_date"] = _normalize_date(ret) or ret - if travelers: - parsed["travelers"] = int(travelers) - if trip_type: - parsed["trip_type"] = trip_type.lower() - if budget: - parsed["budget"] = float(budget) - required = { - "origin", - "destination", - "departure_date", - "return_date", - } - if not required.issubset(parsed.keys()): - parsed = None - - if parsed: - try: - trip_details = TripDetails.model_validate(parsed) - except Exception: - trip_details = None - - if not trip_details: - raise ValueError( - f"Failed to extract trip details from: {raw_trip_details}" - ) - - # Add trip details to span - span.set_attribute("trip.destination", trip_details.destination) - span.set_attribute("trip.origin", trip_details.origin) - span.set_attribute("trip.travelers", trip_details.travelers) - span.set_attribute("trip.type", trip_details.trip_type) - - flight_prompt = f"""Find flights: - From: {trip_details.origin} To: {trip_details.destination} - Departure: {trip_details.departure_date} Return: {trip_details.return_date} - Travelers: {trip_details.travelers}""" - - flight_result = await Runner.run( - agents["flight_specialist"], - coordinator_result.to_input_list() - + [{"content": flight_prompt, "role": "user"}], - ) - - hotel_prompt = f"""Find hotels: - Destination: {trip_details.destination} - Check-in: {trip_details.departure_date} Check-out: {trip_details.return_date} - Travelers: {trip_details.travelers} Type: {trip_details.trip_type}""" - - hotel_result = await Runner.run( - agents["hotel_specialist"], - flight_result.to_input_list() - + [{"content": hotel_prompt, "role": "user"}], - ) - - prefs = ( - ", ".join(trip_details.preferences) - if trip_details.preferences - else "General" - ) - activity_prompt = f"""Plan activities: - Destination: {trip_details.destination} Type: {trip_details.trip_type} - Preferences: {prefs} Duration: {trip_details.departure_date} to {trip_details.return_date}""" - - activity_result = await Runner.run( - agents["activity_specialist"], - hotel_result.to_input_list() - + [{"content": activity_prompt, "role": "user"}], - ) - - dep_date = datetime.fromisoformat(trip_details.departure_date) - ret_date = datetime.fromisoformat(trip_details.return_date) - nights = (ret_date - dep_date).days - - budget_prompt = f"""Analyze budget: - Review flight, hotel, and activity costs above. - Travelers: {trip_details.travelers} Nights: {nights}""" - - budget_result = await Runner.run( - agents["budget_analyst"], - activity_result.to_input_list() - + [{"content": budget_prompt, "role": "user"}], - ) - - synthesis_prompt = f"""Create comprehensive travel plan from all findings. - Original request: {user_request} - Include: summary, flights, hotels, itinerary, budget, tips.""" - - final_result = await Runner.run( - agents["plan_synthesizer"], - budget_result.to_input_list() - + [{"content": synthesis_prompt, "role": "user"}], - ) - - span.set_attribute("workflow.status", "completed") - - return final_result.final_output - - -SAMPLE_REQUESTS = { - "business": "Business trip to London for 3 days from Seattle. Near financial district, efficient flights. Budget $3000.", - "family": "Family vacation to Paris for 2 adults and 2 children for 10 days next month. Museums, parks. Budget $8000.", - "romantic": "Romantic anniversary trip to Tokyo for 2 for a week. Luxury accommodations, fine dining. Budget $6000.", -} - - -async def main(): - load_dotenv() - - if not (os.getenv("AZURE_OPENAI_API_KEY") or os.getenv("OPENAI_API_KEY")): - print("Set AZURE_OPENAI_* or OPENAI_API_KEY environment variables") - return - - user_input = input( - "Describe your travel plans (or press Enter for sample): " - ).strip() - - if not user_input: - user_input = SAMPLE_REQUESTS["business"] - - try: - final_plan = await run_travel_planning(user_input) - print("\n" + "=" * 70) - print(final_plan) - print("=" * 70) - except Exception as e: - print(f"Error: {e}") - import traceback - - traceback.print_exc() - finally: - try: - trace.get_tracer_provider().force_flush() - except Exception: - pass - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py deleted file mode 100644 index 97c6573986..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/mcp_hotel_capture_all.py +++ /dev/null @@ -1,194 +0,0 @@ -"""OpenAI Agents + MCP HTTP example with full GenAI telemetry capture.""" - -from __future__ import annotations - -import asyncio -import logging -import os -from dataclasses import dataclass -from typing import Callable - -import azure.identity -import openai -from agents import ( - Agent, - OpenAIChatCompletionsModel, - Runner, - set_tracing_disabled, -) -from agents.mcp.server import MCPServerStreamableHttp -from agents.model_settings import ModelSettings -from dotenv import load_dotenv - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig(level=logging.WARNING) - - -@dataclass -class _ApiConfig: - """Helper describing how to create the OpenAI client.""" - - build_client: Callable[[], openai.AsyncOpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Deprecated: capture is always on; keep for backward compatibility.""" - return - - -def _resolve_api_config() -> _ApiConfig: - """Return model/client configuration for the selected API host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AsyncAzureOpenAI: - return openai.AsyncAzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - # Removed ollama path to simplify sample - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure tracer provider with console exporter (no Azure Monitor).""" - resource = Resource.create( - { - "service.name": "mcp-hotel-finder-service", - "service.namespace": "mcp-orchestration", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - tracer_provider = TracerProvider(resource=resource) - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - trace.set_tracer_provider(tracer_provider) - - -api_config = _resolve_api_config() -_set_capture_env(api_config.provider, api_config.base_url) -_configure_otel() - -OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() -) - -client = api_config.build_client() - -set_tracing_disabled(False) - -mcp_server = MCPServerStreamableHttp( - name="weather", - params={"url": os.getenv("MCP_SERVER_URL", "http://localhost:8000/mcp/")}, -) - -agent = Agent( - name="Assistant", - instructions="Use the tools to achieve the task", - mcp_servers=[mcp_server], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), - model_settings=ModelSettings(tool_choice="required"), -) - - -def _root_span_name(provider: str) -> str: - return f"mcp_hotel_search[{provider}]" - - -async def main() -> None: - tracer = trace.get_tracer(__name__) - await mcp_server.connect() - try: - with tracer.start_as_current_span( - _root_span_name(api_config.provider) - ) as span: - message = ( - "Find me a hotel in San Francisco for 2 nights starting from 2024-01-01. " - "I need a hotel with free WiFi and a pool." - ) - - span.set_attribute("user.request", message) - span.set_attribute("mcp.server", mcp_server.name) - span.set_attribute("mcp.url", mcp_server.params.get("url")) - span.set_attribute("api.host", os.getenv("API_HOST", "github")) - span.set_attribute("model.name", api_config.model_name) - - try: - result = await Runner.run(starting_agent=agent, input=message) - print(result.final_output) - - span.set_attribute( - "agent.response", - result.final_output[:500] if result.final_output else "", - ) - span.set_attribute("request.success", True) - except Exception as exc: # pragma: no cover - defensive logging - span.record_exception(exc) - span.set_attribute("request.success", False) - raise - finally: - await mcp_server.cleanup() - - -if __name__ == "__main__": - try: - asyncio.run(main()) - finally: - trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example deleted file mode 100644 index 7d8e94f0bc..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/.env.example +++ /dev/null @@ -1,65 +0,0 @@ -# ============================= -# OpenAI / Azure OpenAI Config -# ============================= -# Choose EITHER Azure OpenAI OR public OpenAI credentials. - -# --- Azure OpenAI (fill these if using Azure) --- -AZURE_OPENAI_ENDPOINT= -AZURE_OPENAI_API_KEY= -AZURE_OPENAI_DEPLOYMENT=gpt-4.1-mini -AZURE_OPENAI_API_VERSION=2024-08-01-preview - -# --- Public OpenAI (optional alternative) --- -OPENAI_API_KEY= -# Override model if desired (fallback in code is gpt-4o-mini) -OPENAI_MODEL= - -# ============================= -# Application Insights (optional) -# ============================= -# If provided, traces go to Azure Monitor via the connection string. -APPLICATIONINSIGHTS_CONNECTION_STRING= -# Legacy env name also supported -APPLICATION_INSIGHTS_CONNECTION_STRING= - -# ============================= -# OpenTelemetry OTLP Export (optional) -# ============================= -# Provide these to send data to another OTLP backend instead of (or in addition to) console. -# OTEL_EXPORTER_OTLP_ENDPOINT=https://example-otlp-endpoint -# OTEL_EXPORTER_OTLP_HEADERS=api-key=YOUR_KEY - -# ============================= -# Instrumentation Toggles -# ============================= -# Content & tool capture may increase data volume. Set to 'false' to disable. -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT=true -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_TOOL_IO=true -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_TOOL_DEFINITIONS=false -OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS=true - -# ============================= -# Enhanced Planner Behavior -# ============================= -# When 1 (default), enhanced.py prompts interactively if the coordinator -# model returns clarifying questions instead of structured TripDetails. -# Set to 0 to force a hard error (useful for CI / non-interactive runs). -INTERACTIVE_TRIP_DETAILS=1 - -# Application Insights Query (Logs API via AAD) -APPLICATION_INSIGHTS_RESOURCE_ID= - -# Azure AD (if using LogsQueryClient) -AZURE_TENANT_ID= -AZURE_CLIENT_ID= -AZURE_CLIENT_SECRET= - -# Evaluation script toggles -EVAL_EMIT_OPERATION_DETAILS=1 -EVAL_EMIT_EVALUATIONS=1 -EVAL_VERIFICATION=1 -EVAL_THRESHOLD=3.0 -EVAL_LOOKBACK_MINS=30 -EVAL_MODEL_DEPLOYMENT= -EVAL_MODEL= -EVAL_MAX_MESSAGE_CHARS=20000 diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md deleted file mode 100644 index 8463a03372..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/README.md +++ /dev/null @@ -1,256 +0,0 @@ -# Multi-Agent Travel Planning (OpenAI Agents + OpenTelemetry) - -This folder now contains **two** illustrative examples of instrumented multi-agent travel planning using the OpenAI Agents API and OpenTelemetry: - -1. `multi_travel_planner.py` – A concise, faster single-agent orchestration that chains a few simple function tools (geocode / weather / cuisine). Good for a quick look at instrumentation wiring and a minimal trace. -2. `enhanced.py` – A richer, production-style multi‑agent workflow that mirrors a LangGraph style handoff pipeline (Coordinator → Flight → Hotel → Activity → Budget → Plan Synthesizer). It demonstrates structured outputs, tool usage, deterministic handoffs, OpenTelemetry spans, and interactive fallbacks when the model asks clarifying questions. - - -## Why the Enhanced Version? - -`enhanced.py` showcases patterns often needed in real systems: - -* Multiple cooperating specialist agents with explicit handoff definitions. -* Structured extraction via Pydantic (`TripDetails`, `FlightRecommendation`, etc.). -* Automatic tracing of each agent invocation and tool execution via `opentelemetry-instrumentation-openai-agents`. -* A resilient trip detail parsing layer (JSON parsing + heuristic extraction) and an **interactive fallback prompt flow** (so a model asking for missing info doesn’t crash the pipeline). -* Budget analysis + synthesis phase to create a cohesive final plan. -* Per‑agent model instances (can vary temperature / deployment) while retaining a single end‑to‑end workflow trace. - - -## Features Comparison - -| Capability | multi_travel_planner.py | enhanced.py | -|------------|-------------------------|-------------| -| Simple single pass | ✅ | ➖ (multi-step) | -| Deterministic multi-agent chain | ❌ | ✅ | -| Structured Pydantic outputs | Minimal | Extensive | -| Interactive fallback for missing details | ❌ | ✅ | -| Budget computation | ❌ | ✅ | -| Day-by-day itinerary synthesis | ❌ | ✅ | -| Rich span hierarchy | Basic | Deep (per agent + tools) | - - -## Quick Start (Both Scripts) - -```bash -cp .env.example .env # fill in Azure OpenAI endpoint, key, deployment -pip install -r requirements.txt -``` - -Ensure one of these is configured: - -* Azure: `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_DEPLOYMENT` -* or Public OpenAI: `OPENAI_API_KEY` and (optionally) `OPENAI_MODEL` - -Optional OpenTelemetry exporter vars (see `.env.example`): - -* `OTEL_EXPORTER_OTLP_ENDPOINT` -* `OTEL_EXPORTER_OTLP_HEADERS` -* Set instrumentation content capture toggles such as `OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT=true` for message/tool IO. - ---- - -## Running the Simple Planner - -```bash -python multi_travel_planner.py --city "Paris" --date 2025-09-10 -``` - ---- - -## Running the Enhanced Multi-Agent Planner - -Interactive mode (default): - -```bash -python enhanced.py -``` - -You will be shown sample requests. Press Enter to accept a sample or paste your own natural language trip description. If the coordinator agent requests clarification (e.g., missing origin or dates), the script will prompt you to enter the missing fields. - -Non-interactive strict mode (fail instead of prompting): - -```bash -export INTERACTIVE_TRIP_DETAILS=0 -python enhanced.py -``` - -### Sample Natural Language Requests - -Copy these into the prompt (or just press Enter to use one automatically): - -* Business: “I need to plan a business trip to London for 3 days from Seattle, hotel near the financial district, efficient flights, budget around $3000.” -* Family: “Plan a family vacation to Paris for 2 adults and 2 children for 10 days next month. Museums, parks, family-friendly activities, about $8000 total.” -* Romantic: “Romantic anniversary trip to Tokyo for a week, luxury hotel, fine dining, up to $6000.” - ---- - -## Interactive Fallback Details (`enhanced.py`) - -If the coordinator LLM answer is a *clarifying question* rather than a structured JSON-like response, the script attempts: - -1. JSON parse (if the model returned JSON). -2. Heuristic extraction (regex for origin/destination/dates/duration/budget/trip type). -3. If still incomplete and `INTERACTIVE_TRIP_DETAILS != 0`, prompt you for the remaining fields. - -Disable this by setting `INTERACTIVE_TRIP_DETAILS=0` to force a hard error (useful in CI or automated evaluations). - ---- - -## Observability - -Both scripts rely on `OpenAIAgentsInstrumentor` which creates spans such as: - -* Root span: workflow invocation (`gen_ai.operation.name=invoke_agent`). -* Child spans: each agent call + each function tool execution (`execute_tool`). -* Attributes: model metadata, tool names, (optionally) message content and structured outputs. - -To view data: - -* Console exporter (default) prints spans to stdout. -* Set OTLP exporter variables to ship to Azure Monitor / another backend. - ---- - -## Extending `enhanced.py` - -Ideas: - -* Add real API-backed tools (live flights, hotels, weather) – instrumentation is unchanged. -* Introduce retry + guardrails (ask the model to reformat invalid structured output before falling back to manual input). -* Cache intermediate tool results for iterative refinement. -* Emit custom span events for milestones (e.g., “flights_selected”, “budget_locked”). - ---- - -## Troubleshooting - -| Issue | Possible Cause | Fix | -|-------|----------------|-----| -| Coordinator asks for origin/dates repeatedly | Insufficient initial prompt detail | Provide explicit origin, destination, ISO dates | -| ValueError about TripDetails in strict mode | Missing required fields & fallback disabled | Remove `INTERACTIVE_TRIP_DETAILS=0` or add details | -| No spans exported externally | OTLP env vars not set | Provide OTLP endpoint + headers or keep console export | -| Model name not found | Wrong deployment/model env | Check `AZURE_OPENAI_DEPLOYMENT` or `OPENAI_MODEL` | - ---- - -## Next Steps - -* Add more specialized tools (exchange rates, safety alerts, local transit). -* Integrate a vector store for preference memory across sessions. -* Emit custom OpenTelemetry events for major planning milestones. -* Package this example as a reusable reference for multi-agent orchestration + observability. - ---- -Happy exploring! Feel free to adapt `enhanced.py` to your own domain—any new agent or tool automatically participates in tracing once it flows through the `Runner` and instrumentation hooks. - ---- - -## Evaluation & Metrics (Trace Post-Processing) - -The script `evaluate_trace_agents.py` lets you retroactively score agent invocations captured in Application Insights (or any backend you forward spans to) and emit structured GenAI evaluation events. It targets spans where `gen_ai.operation.name=invoke_agent`. - -### Capabilities - -* Trace retrieval (REST or LogsQueryClient) for a given trace ID. -* Automatic identification of agent invocation spans. -* Extraction of input/output messages, tool call child spans, and tool definitions. -* Emission of two event types (aligned with draft semantic conventions): - * `gen_ai.client.inference.operation.details` - * `gen_ai.evaluation.result` -* Evaluation metrics (model-based when `azure-ai-evaluation` is installed, otherwise heuristics): - * IntentResolution - * ToolCallAccuracy (only if tool calls/definitions present) - * TaskAdherence -* Verification pass: optional re-query to confirm evaluation events ingestion. -* JSON artifact summarizing scores, averages, and pass rates. - -### Usage - -```bash -python evaluate_trace_agents.py --trace-id -# limit to specific invoke_agent span(s) -python evaluate_trace_agents.py --trace-id --span-id - -# Customize threshold & disable certain emissions -python evaluate_trace_agents.py --trace-id \ - --threshold 3.5 --no-operation-event -``` - -Output: `eval_.json` (unless `--output` supplied) and emitted events. - -### Key Environment Variables - -Query (choose one path): - -* REST: `APP_INSIGHTS_APP_ID`, `APPLICATION_INSIGHTS_API_KEY` -* Logs API (AAD): `APPLICATION_INSIGHTS_RESOURCE_ID`, plus Azure AD creds (tenant/client/secret or managed identity) - -Export / Emission: - -* `APPLICATIONINSIGHTS_CONNECTION_STRING` (or legacy `APPLICATION_INSIGHTS_CONNECTION_STRING`) -* `OTEL_EXPORTER_OTLP_ENDPOINT` (optional additional export) - -Evaluation Toggles / Config: - -* `EVAL_EMIT_OPERATION_DETAILS=1` -* `EVAL_EMIT_EVALUATIONS=1` -* `EVAL_VERIFICATION=1` -* `EVAL_THRESHOLD=3.0` -* `EVAL_LOOKBACK_MINS=30` -* `EVAL_MODEL_DEPLOYMENT` / `EVAL_MODEL` / `AZURE_OPENAI_DEPLOYMENT` -* `EVAL_MAX_MESSAGE_CHARS=20000` - -Azure OpenAI (for model-based evaluators): - -* `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_API_KEY`, `AZURE_OPENAI_API_VERSION` - -### Events Emitted - -`gen_ai.client.inference.operation.details` (one per evaluated span, opt-in) - -* Includes request/response model metadata, input/output messages (truncated), system instructions, tool definitions, usage counts. - -`gen_ai.evaluation.result` (one per metric) - -* Attributes: `gen_ai.evaluation.name`, `.score.value`, `.score.label`, `.evaluation.explanation`, optional `gen_ai.response.id`, token usage, and `error.type` if applicable. - -### Heuristic vs Model-Based - -If `azure-ai-evaluation` is absent or Azure OpenAI credentials are missing, the script applies heuristics: - -* IntentResolution (heuristic): overlap of significant query tokens in the response. -* ToolCallAccuracy (heuristic): fraction of tool names mentioned in the final answer. -* TaskAdherence (heuristic): length/coverage based score. - -### Dependency Additions - -Add (if not already present) to `requirements.txt` for evaluation: - -```text -azure-monitor-query -azure-identity -requests -azure-ai-evaluation # optional; enables model-based metrics -``` - -(`opentelemetry-*`, `azure-monitor-opentelemetry-exporter`, and `python-dotenv` are already used by the main examples.) - -### Common Issues - -| Issue | Cause | Resolution | -|-------|-------|-----------| -| No rows returned | Wrong trace ID or outside time window | Increase `--hours`, confirm operation_Id | -| No invoke_agent spans found | Instrumentation disabled or different op name | Verify spans contain `gen_ai.operation.name=invoke_agent` | -| Evaluators fail | Missing Azure OpenAI creds | Set `AZURE_OPENAI_ENDPOINT` & `AZURE_OPENAI_API_KEY` | -| Events not verified | Ingestion delay | Re-run with larger `--hours` or more attempts | - -### Extending Evaluations - -* Add groundedness / factuality evaluators when available. -* Add RAG data source coverage metric (compare citations vs tool/data source IDs). -* Emit aggregate summary event (e.g., average score) for dashboards. -* Integrate pass/fail gating in CI by exiting nonzero when pass rate < threshold. - ---- diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt deleted file mode 100644 index 87bb185bad..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/openai_agents_multi_agent_travel/requirements.txt +++ /dev/null @@ -1,24 +0,0 @@ -python-dotenv -openai>=1.40.0 -openai-agents>=0.3.2 -pydantic>=2.7.0 - -# OpenTelemetry core & exporters -opentelemetry-api -opentelemetry-sdk -opentelemetry-exporter-otlp -azure-monitor-opentelemetry-exporter - -# Instrumentation for Agents API (install if published separately) -opentelemetry-instrumentation-openai-agents>=0.1.0 - -# For evaluation script -azure-monitor-query # If using LogsQueryClient mode -azure-identity # AAD auth for LogsQueryClient -requests # REST fallback querying -azure-ai-evaluation # (optional) rich evaluators -azure-monitor-opentelemetry-exporter -opentelemetry-api -opentelemetry-sdk -opentelemetry-exporter-otlp -python-dotenv diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py deleted file mode 100644 index 138a57e7e6..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/quickstart.py +++ /dev/null @@ -1,71 +0,0 @@ -# pylint: skip-file -import os - -from openai import OpenAI - -# NOTE: OpenTelemetry Python Logs and Events APIs are in beta -from opentelemetry import _events, _logs, metrics, trace -from opentelemetry.exporter.otlp.proto.grpc._log_exporter import ( - OTLPLogExporter, -) -from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import ( - OTLPMetricExporter, -) -from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( - OTLPSpanExporter, -) -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk._events import EventLoggerProvider -from opentelemetry.sdk._logs import LoggerProvider -from opentelemetry.sdk._logs.export import BatchLogRecordProcessor -from opentelemetry.sdk.metrics import MeterProvider -from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import BatchSpanProcessor - -# configure tracing -trace.set_tracer_provider(TracerProvider()) -trace.get_tracer_provider().add_span_processor( - BatchSpanProcessor(OTLPSpanExporter()) -) - -# configure logging and events -_logs.set_logger_provider(LoggerProvider()) -_logs.get_logger_provider().add_log_record_processor( - BatchLogRecordProcessor(OTLPLogExporter()) -) -_events.set_event_logger_provider(EventLoggerProvider()) - -# configure metrics -metrics.set_meter_provider( - MeterProvider( - metric_readers=[ - PeriodicExportingMetricReader( - OTLPMetricExporter(), - ), - ] - ) -) - -# instrument OpenAI with new instrumentor -OpenAIAgentsInstrumentor().instrument() - - -def main(): - client = OpenAI() - chat_completion = client.chat.completions.create( - model=os.getenv("CHAT_MODEL", "gpt-4o-mini"), - messages=[ - { - "role": "user", - "content": "Write a short poem on OpenTelemetry.", - }, - ], - ) - print(chat_completion.choices[0].message.content) - - -if __name__ == "__main__": - main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py deleted file mode 100644 index a85558e49a..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/trace_collectors.py +++ /dev/null @@ -1,86 +0,0 @@ -"""Trace collectors showcase: Console, OTLP gRPC/HTTP, Azure Monitor. - -Run with appropriate env vars: -- OTLP_GRPC_ENDPOINT (e.g., http://localhost:4317) -- OTLP_HTTP_ENDPOINT (e.g., http://localhost:4318/v1/traces) -- APPLICATION_INSIGHTS_CONNECTION_STRING -""" - -import os - -from opentelemetry import trace -from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import ( - OTLPSpanExporter as OTLPGrpcSpanExporter, -) -from opentelemetry.exporter.otlp.proto.http.trace_exporter import ( - OTLPSpanExporter as OTLPHttpSpanExporter, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - - -def configure_trace_collectors() -> None: - resource = Resource.create( - { - "service.name": "openai-agents-trace-collectors", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - tp = TracerProvider(resource=resource) - - # Console - tp.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter())) - - # OTLP gRPC - otlp_grpc_endpoint = os.getenv("OTLP_GRPC_ENDPOINT") - if otlp_grpc_endpoint: - tp.add_span_processor( - BatchSpanProcessor( - OTLPGrpcSpanExporter(endpoint=otlp_grpc_endpoint) - ) - ) - - # OTLP HTTP - otlp_http_endpoint = os.getenv("OTLP_HTTP_ENDPOINT") - if otlp_http_endpoint: - tp.add_span_processor( - BatchSpanProcessor( - OTLPHttpSpanExporter(endpoint=otlp_http_endpoint) - ) - ) - - # Azure Monitor - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( - AzureMonitorTraceExporter, - ) - except ImportError: - print( - "Azure Monitor exporter not installed. " - "Install: pip install azure-monitor-opentelemetry-exporter", - ) - else: - tp.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - - trace.set_tracer_provider(tp) - - -def main(): - configure_trace_collectors() - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span("trace-collectors-demo"): - print("Trace collectors configured and demo span emitted.") - - -if __name__ == "__main__": - main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py new file mode 100644 index 0000000000..7c9553cde4 --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py @@ -0,0 +1,280 @@ +"""Weekend planner with OpenAI Agents + OpenTelemetry traces to Azure Application Insights. + +Prereqs: +- pip install openai openai-agents opentelemetry-sdk azure-monitor-opentelemetry-exporter python-dotenv rich +- Set APPLICATION_INSIGHTS_CONNECTION_STRING in your environment +- For GitHub Models: set GITHUB_TOKEN (and optionally GITHUB_OPENAI_BASE_URL, GITHUB_MODEL) +- For Azure OpenAI: set AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_VERSION, AZURE_OPENAI_CHAT_DEPLOYMENT +""" + +from __future__ import annotations + +import asyncio +import logging +import os +import random +from dataclasses import dataclass +from datetime import datetime +from typing import Callable +from urllib.parse import urlparse + +import azure.identity +import openai +from agents import ( + Agent, + OpenAIChatCompletionsModel, + Runner, + function_tool, + set_tracing_disabled, +) +from dotenv import load_dotenv +from rich.logging import RichHandler + +from opentelemetry import trace +from opentelemetry.instrumentation.openai_agents import ( + OpenAIAgentsInstrumentor, +) +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import ( + BatchSpanProcessor, + ConsoleSpanExporter, +) + +load_dotenv(override=True) + +logging.basicConfig( + level=logging.WARNING, + format="%(message)s", + datefmt="[%X]", + handlers=[RichHandler()], +) +logger = logging.getLogger("weekend_planner") + + +@dataclass +class _ApiConfig: + """Helper describing how to create the OpenAI client.""" + + build_client: Callable[[], openai.AsyncOpenAI] + model_name: str + base_url: str + provider: str + + +def _set_capture_env(provider: str, base_url: str) -> None: + """Set GenAI capture context (optional; capture defaults to enabled).""" + os.environ.setdefault("OTEL_GENAI_AGENT_NAME", "Weekend Planner Agent") + os.environ.setdefault( + "OTEL_GENAI_AGENT_DESCRIPTION", + "Assistant that plans weekend activities using weather and events data", + ) + os.environ.setdefault("OTEL_GENAI_AGENT_ID", "weekend-planner") + + parsed = urlparse(base_url) + if parsed.hostname: + os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) + if parsed.port: + os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) + + +def _resolve_api_config() -> _ApiConfig: + """Return the client configuration for the requested host.""" + + host = os.getenv("API_HOST", "github").lower() + + if host == "github": + base_url = os.getenv( + "GITHUB_OPENAI_BASE_URL", + "https://models.inference.ai.azure.com", + ).rstrip("/") + model_name = os.getenv("GITHUB_MODEL", "gpt-4o") + api_key = os.environ["GITHUB_TOKEN"] + + def _build_client() -> openai.AsyncOpenAI: + return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) + + return _ApiConfig( + build_client=_build_client, + model_name=model_name, + base_url=base_url, + provider="azure.ai.inference", + ) + + if host == "azure": + endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") + api_version = os.environ["AZURE_OPENAI_VERSION"] + deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] + + credential = azure.identity.DefaultAzureCredential() + token_provider = azure.identity.get_bearer_token_provider( + credential, + "https://cognitiveservices.azure.com/.default", + ) + + def _build_client() -> openai.AsyncAzureOpenAI: + return openai.AsyncAzureOpenAI( + api_version=api_version, + azure_endpoint=endpoint, + azure_ad_token_provider=token_provider, + ) + + return _ApiConfig( + build_client=_build_client, + model_name=deployment, + base_url=endpoint, + provider="azure.ai.openai", + ) + + raise ValueError(f"Unsupported API_HOST '{host}'") + + +def _configure_otel() -> None: + """Configure tracer provider to export to both Console and Azure Monitor. + + - Always adds ConsoleSpanExporter for local visibility. + - Adds AzureMonitorTraceExporter when APPLICATION_INSIGHTS_CONNECTION_STRING is set + and the azure-monitor-opentelemetry-exporter package is installed. + """ + + conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") + resource = Resource.create( + { + "service.name": "weekend-planner-service", + "service.namespace": "leisure-orchestration", + "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), + } + ) + + tracer_provider = TracerProvider(resource=resource) + + # Always enable console exporter + tracer_provider.add_span_processor( + BatchSpanProcessor(ConsoleSpanExporter()) + ) + print("[otel] Console span exporter configured") + + # Optionally add Azure Monitor exporter + if conn: + try: + from azure.monitor.opentelemetry.exporter import ( + AzureMonitorTraceExporter, + ) + except ImportError: + print( + "[otel] Azure Monitor exporter not installed. " + "Install with: pip install azure-monitor-opentelemetry-exporter", + ) + else: + tracer_provider.add_span_processor( + BatchSpanProcessor( + AzureMonitorTraceExporter.from_connection_string(conn) + ) + ) + print("[otel] Azure Monitor trace exporter configured") + else: + print( + "[otel] APPLICATION_INSIGHTS_CONNECTION_STRING not set; skipping Azure Monitor" + ) + + trace.set_tracer_provider(tracer_provider) + + +api_config = _resolve_api_config() +_set_capture_env(api_config.provider, api_config.base_url) +_configure_otel() + +OpenAIAgentsInstrumentor().instrument( + tracer_provider=trace.get_tracer_provider() +) + +client = api_config.build_client() +set_tracing_disabled(False) + + +@function_tool +def get_weather(city: str) -> dict[str, object]: + logger.info("Getting weather for %s", city) + if random.random() < 0.05: + return { + "city": city, + "temperature": 72, + "description": "Sunny", + } + return { + "city": city, + "temperature": 60, + "description": "Rainy", + } + + +@function_tool +def get_activities(city: str, date: str) -> list[dict[str, object]]: + logger.info("Getting activities for %s on %s", city, date) + return [ + {"name": "Hiking", "location": city}, + {"name": "Beach", "location": city}, + {"name": "Museum", "location": city}, + ] + + +@function_tool +def get_current_date() -> str: + """Gets the current date and returns as YYYY-MM-DD.""" + logger.info("Getting current date") + return datetime.now().strftime("%Y-%m-%d") + + +agent = Agent( + name="Weekend Planner", + instructions=( + "You help users plan their weekends and choose the best activities for the given weather. " + "If an activity would be unpleasant in the weather, don't suggest it. Include the date of the weekend in your response." + ), + tools=[get_weather, get_activities, get_current_date], + model=OpenAIChatCompletionsModel( + model=api_config.model_name, openai_client=client + ), +) + + +def _root_span_name(provider: str) -> str: + return f"weekend_planning_session[{provider}]" + + +async def main() -> None: + tracer = trace.get_tracer(__name__) + with tracer.start_as_current_span( + _root_span_name(api_config.provider) + ) as span: + user_request = "What can I do this weekend in Seattle?" + + span.set_attribute("user.request", user_request) + span.set_attribute("api.host", os.getenv("API_HOST", "github")) + span.set_attribute("model.name", api_config.model_name) + span.set_attribute("agent.name", agent.name) + span.set_attribute("target.city", "Seattle") + + try: + result = await Runner.run(agent, input=user_request) + print(result.final_output) + + span.set_attribute( + "agent.response", + result.final_output[:500] if result.final_output else "", + ) + span.set_attribute("request.success", True) + logger.info("Weekend planning completed successfully") + except Exception as exc: + span.record_exception(exc) + span.set_attribute("request.success", False) + logger.error("Error during weekend planning: %s", exc) + raise + + +if __name__ == "__main__": + logger.setLevel(logging.INFO) + try: + asyncio.run(main()) + finally: + trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml index 006ccd2a09..100db101ce 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -5,15 +5,14 @@ build-backend = "hatchling.build" [project] name = "opentelemetry-instrumentation-openai-agents" dynamic = ["version"] -description = "OpenTelemetry OpenAI Agents instrumentation" -readme = "README.rst" +description = "OpenTelemetry OpenAI Agents instrumentation (barebones)" license = "Apache-2.0" requires-python = ">=3.9" authors = [ { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" }, ] classifiers = [ - "Development Status :: 4 - Beta", + "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", @@ -27,12 +26,6 @@ classifiers = [ dependencies = [ "opentelemetry-api ~= 1.30", "opentelemetry-instrumentation ~= 0.51b0", - "opentelemetry-semantic-conventions ~= 0.51b0" -] - -[project.optional-dependencies] -instruments = [ - "openai-agents >= 0.3.2", ] [project.entry-points.opentelemetry_instrumentor] @@ -48,7 +41,6 @@ path = "src/opentelemetry/instrumentation/openai_agents/version.py" [tool.hatch.build.targets.sdist] include = [ "/src", - "/tests", ] [tool.hatch.build.targets.wheel] diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py index 026b61aae0..6cf9599b64 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/__init__.py @@ -12,112 +12,34 @@ # See the License for the specific language governing permissions and # limitations under the License. -""" -OpenAI Agents instrumentation supporting `openai` in agent frameworks. -Enable with ``OpenAIAgentsInstrumentor``. - -.. _openai: https://pypi.org/project/openai/ - -Usage ------ - -.. code:: python - - from openai import OpenAI - from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, - ) - - OpenAIAgentsInstrumentor().instrument() - - # Your OpenAI agents code here - client = OpenAI() - -API ---- +"""Barebones OpenAI Agents instrumentation package. -This instrumentation captures spans for OpenAI API calls made within -agent frameworks. -It provides detailed tracing information including: - -- Request and response content (if configured) -- Token usage metrics -- Model information -- Error handling - -Configuration -------------- - -Content, metrics, and events are captured by default with no environment configuration. -This library assumes full capture is desired when installed. +This branch provides only the minimal package skeleton: +- Instrumentor class stub +- Version module +- Packaging metadata/entry point """ -import logging from typing import Collection -from agents.tracing import add_trace_processor - -from opentelemetry._events import get_event_logger from opentelemetry.instrumentation.instrumentor import BaseInstrumentor -from opentelemetry.instrumentation.openai_agents.constants import ( - GenAIEvaluationAttributes, - GenAIOperationName, - GenAIOutputType, - GenAIProvider, - GenAIToolType, -) -from opentelemetry.instrumentation.openai_agents.genai_semantic_processor import ( - GenAISemanticProcessor, -) -from opentelemetry.instrumentation.openai_agents.package import _instruments -from opentelemetry.semconv.schemas import Schemas -from opentelemetry.trace import get_tracer + +from .package import _instruments +from .version import __version__ # noqa: F401 __all__ = [ "OpenAIAgentsInstrumentor", - "GenAIProvider", - "GenAIOperationName", - "GenAIToolType", - "GenAIOutputType", - "GenAIEvaluationAttributes", ] -logger = logging.getLogger(__name__) - class OpenAIAgentsInstrumentor(BaseInstrumentor): - """An instrumentor for OpenAI Agents frameworks.""" + """Minimal instrumentor stub (no-op).""" - def _instrument(self, **kwargs): - """Instruments the OpenAI library for agent frameworks.""" - tracer_provider = kwargs.get("tracer_provider") - tracer = get_tracer( - __name__, - "", - tracer_provider, - schema_url=Schemas.V1_28_0.value, - ) - event_logger_provider = kwargs.get("event_logger_provider") - event_logger = get_event_logger( - __name__, - "", - schema_url=Schemas.V1_28_0.value, - event_logger_provider=event_logger_provider, - ) - - add_trace_processor( - GenAISemanticProcessor( - tracer=tracer, - event_logger=event_logger, - ) - ) + def _instrument(self, **kwargs) -> None: # pragma: no cover - stub + return - def _uninstrument(self, **kwargs): - """Uninstruments the OpenAI library for agent frameworks.""" - # No-op: optional processor registry may not be present. - # TODO: maintain the old list of processors and restore it upon _uninstrument. + def _uninstrument(self, **kwargs) -> None: # pragma: no cover - stub return def instrumentation_dependencies(self) -> Collection[str]: - """Return list of python packages with versions instrumented.""" return _instruments diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py index 8bc8ea56a9..37f429cf99 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py @@ -1,48 +1,41 @@ -"""Centralized semantic convention constants for GenAI instrumentation. - -Consolidates provider names, operation names, tool types, output types, -evaluation attributes, and helper maps so other modules can import from -one place. Keeping strings in one module reduces drift as the spec evolves. +# Copyright The OpenTelemetry Authors +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +"""GenAI semantic attribute constants and enums (attributes-only). + +This module centralizes the attribute keys and common enum-like values +used by GenAI instrumentation so they can be referenced consistently. """ from __future__ import annotations -# Provider names (superset for forward compatibility) class GenAIProvider: OPENAI = "openai" - GCP_GEN_AI = "gcp.gen_ai" - GCP_VERTEX_AI = "gcp.vertex_ai" - GCP_GEMINI = "gcp.gemini" + AZURE_AI_OPENAI = "azure.ai.openai" + AZURE_AI_INFERENCE = "azure.ai.inference" ANTHROPIC = "anthropic" COHERE = "cohere" - AZURE_AI_INFERENCE = "azure.ai.inference" - AZURE_AI_OPENAI = "azure.ai.openai" - IBM_WATSONX_AI = "ibm.watsonx.ai" AWS_BEDROCK = "aws.bedrock" + GCP_VERTEX_AI = "gcp.vertex_ai" + GCP_GEMINI = "gcp.gemini" + IBM_WATSONX_AI = "ibm.watsonx.ai" + MISTRAL_AI = "mistral_ai" + GROQ = "groq" PERPLEXITY = "perplexity" X_AI = "x_ai" DEEPSEEK = "deepseek" - GROQ = "groq" - MISTRAL_AI = "mistral_ai" - - ALL = { - OPENAI, - GCP_GEN_AI, - GCP_VERTEX_AI, - GCP_GEMINI, - ANTHROPIC, - COHERE, - AZURE_AI_INFERENCE, - AZURE_AI_OPENAI, - IBM_WATSONX_AI, - AWS_BEDROCK, - PERPLEXITY, - X_AI, - DEEPSEEK, - GROQ, - MISTRAL_AI, - } class GenAIOperationName: @@ -57,15 +50,7 @@ class GenAIOperationName: SPEECH = "speech_generation" GUARDRAIL = "guardrail_check" HANDOFF = "agent_handoff" - RESPONSE = "response" # internal aggregator in current processor - - # Mapping of span data class (lower) to default op (heuristic) - CLASS_FALLBACK = { - "generationspan": CHAT, - "responsespan": RESPONSE, - "functionspan": EXECUTE_TOOL, - "agentspan": INVOKE_AGENT, - } + RESPONSE = "response" class GenAIOutputType: @@ -73,7 +58,6 @@ class GenAIOutputType: JSON = "json" IMAGE = "image" SPEECH = "speech" - # existing custom inference types retained for backward compatibility class GenAIToolType: @@ -81,8 +65,6 @@ class GenAIToolType: EXTENSION = "extension" DATASTORE = "datastore" - ALL = {FUNCTION, EXTENSION, DATASTORE} - class GenAIEvaluationAttributes: NAME = "gen_ai.evaluation.name" @@ -91,7 +73,7 @@ class GenAIEvaluationAttributes: EXPLANATION = "gen_ai.evaluation.explanation" -# Complete list of GenAI semantic convention attribute keys +# Attribute keys GEN_AI_PROVIDER_NAME = "gen_ai.provider.name" GEN_AI_OPERATION_NAME = "gen_ai.operation.name" GEN_AI_REQUEST_MODEL = "gen_ai.request.model" diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py deleted file mode 100644 index cc0764920d..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/events.py +++ /dev/null @@ -1,127 +0,0 @@ -"""Event emission helpers for GenAI instrumentation. - -Provides thin wrappers around the OpenTelemetry event logger for -spec-defined GenAI events: - -- gen_ai.client.inference.operation.details -- gen_ai.evaluation.result (helper only; actual evaluation may happen - externally – e.g. offline evaluator script) - -All GenAI events are emitted by default. -""" - -from __future__ import annotations - -from typing import Any, Dict, Optional - -from opentelemetry._events import Event - -OP_DETAILS_EVENT = "gen_ai.client.inference.operation.details" -EVAL_RESULT_EVENT = "gen_ai.evaluation.result" - -# Attribute allowlist subset to avoid dumping huge blobs blindly. -# (Large content already controlled by capture-content env var.) -_OPERATION_DETAILS_CORE_KEYS = { - "gen_ai.provider.name", - "gen_ai.operation.name", - "gen_ai.request.model", - "gen_ai.response.id", - "gen_ai.response.model", - "gen_ai.usage.input_tokens", - "gen_ai.usage.output_tokens", - "gen_ai.usage.total_tokens", - "gen_ai.output.type", - "gen_ai.system_instructions", - "gen_ai.input.messages", - "gen_ai.output.messages", -} - -_MAX_VALUE_LEN = 4000 # defensive truncation - - -def emit_operation_details_event( - event_logger, - span_attributes: Dict[str, Any], - otel_span: Optional[Any] = None, -) -> None: - """Emit operation details event with span attributes. - - Args: - event_logger: The event logger instance - span_attributes: Dictionary of span attributes to include - otel_span: Optional OpenTelemetry span for context - """ - if not event_logger: - return - # Always enabled - - attrs: Dict[str, Any] = {} - for k in _OPERATION_DETAILS_CORE_KEYS: - if k in span_attributes: - v = span_attributes[k] - if isinstance(v, str) and len(v) > _MAX_VALUE_LEN: - v = v[: _MAX_VALUE_LEN - 3] + "..." - attrs[k] = v - - if not attrs: - return - - try: - event_logger.emit( - Event( - name=OP_DETAILS_EVENT, - attributes=attrs, - ) - ) - except Exception: # pragma: no cover - defensive - pass - - -def emit_evaluation_result_event( - event_logger, - *, - name: str, - score_value: Optional[float] = None, - score_label: Optional[str] = None, - explanation: Optional[str] = None, - response_id: Optional[str] = None, - error_type: Optional[str] = None, -) -> None: - """Emit evaluation result event. - - Args: - event_logger: The event logger instance - name: Name of the evaluation metric - score_value: Numeric score value - score_label: Label for the score (e.g., "good", "bad") - explanation: Explanation of the evaluation - response_id: ID of the response being evaluated - error_type: Type of error if evaluation failed - """ - if not event_logger: - return - # Always enabled - - attrs: Dict[str, Any] = {"gen_ai.evaluation.name": name} - if score_value is not None: - attrs["gen_ai.evaluation.score.value"] = float(score_value) - if score_label is not None: - attrs["gen_ai.evaluation.score.label"] = score_label - if explanation: - attrs["gen_ai.evaluation.explanation"] = ( - explanation[:4000] if len(explanation) > 4000 else explanation - ) - if response_id: - attrs["gen_ai.response.id"] = response_id - if error_type: - attrs["error.type"] = error_type - - try: - event_logger.emit( - Event( - name=EVAL_RESULT_EVENT, - attributes=attrs, - ) - ) - except Exception: # pragma: no cover - defensive - pass diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py deleted file mode 100644 index 78b629670c..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/genai_semantic_processor.py +++ /dev/null @@ -1,1427 +0,0 @@ -""" -GenAI Semantic Convention Trace Processor - -This module implements a custom trace processor that enriches spans with -OpenTelemetry GenAI semantic conventions attributes following the -OpenInference processor pattern. It adds standardized attributes for -generative AI operations using iterator-based attribute extraction. - -References: -- OpenTelemetry GenAI Semantic Conventions: - https://opentelemetry.io/docs/specs/semconv/gen-ai/gen-ai-spans/ -- OpenInference Pattern: https://github.com/Arize-ai/openinference -""" - -from __future__ import annotations - -import json -import logging -from datetime import datetime, timezone -from typing import TYPE_CHECKING, Any, Iterator, Optional, Sequence -from urllib.parse import urlparse - -from agents.tracing import Span, Trace, TracingProcessor -from agents.tracing.span_data import ( - AgentSpanData, - FunctionSpanData, - GenerationSpanData, - GuardrailSpanData, - HandoffSpanData, - ResponseSpanData, - SpeechSpanData, - TranscriptionSpanData, -) - -from opentelemetry.context import attach, detach -from opentelemetry.metrics import Histogram, get_meter -from opentelemetry.trace import Span as OtelSpan -from opentelemetry.trace import ( - SpanKind, - Status, - StatusCode, - Tracer, - set_span_in_context, -) -from opentelemetry.util.types import AttributeValue - -# Import all semantic convention constants -from .constants import ( - GEN_AI_AGENT_DESCRIPTION, - GEN_AI_AGENT_ID, - GEN_AI_AGENT_NAME, - GEN_AI_CONVERSATION_ID, - GEN_AI_DATA_SOURCE_ID, - GEN_AI_EMBEDDINGS_DIMENSION_COUNT, - GEN_AI_GUARDRAIL_NAME, - GEN_AI_GUARDRAIL_TRIGGERED, - GEN_AI_HANDOFF_FROM_AGENT, - GEN_AI_HANDOFF_TO_AGENT, - GEN_AI_INPUT_MESSAGES, - GEN_AI_OPERATION_NAME, - GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS, - GEN_AI_OUTPUT_MESSAGES, - GEN_AI_OUTPUT_TYPE, - GEN_AI_PROVIDER_NAME, - GEN_AI_REQUEST_CHOICE_COUNT, - GEN_AI_REQUEST_ENCODING_FORMATS, - GEN_AI_REQUEST_FREQUENCY_PENALTY, - GEN_AI_REQUEST_MAX_TOKENS, - GEN_AI_REQUEST_MODEL, - GEN_AI_REQUEST_PRESENCE_PENALTY, - GEN_AI_REQUEST_SEED, - GEN_AI_REQUEST_STOP_SEQUENCES, - GEN_AI_REQUEST_TEMPERATURE, - GEN_AI_REQUEST_TOP_K, - GEN_AI_REQUEST_TOP_P, - GEN_AI_RESPONSE_FINISH_REASONS, - GEN_AI_RESPONSE_ID, - GEN_AI_RESPONSE_MODEL, - GEN_AI_SYSTEM_INSTRUCTIONS, - GEN_AI_TOOL_CALL_ARGUMENTS, - GEN_AI_TOOL_CALL_ID, - GEN_AI_TOOL_CALL_RESULT, - GEN_AI_TOOL_DEFINITIONS, - GEN_AI_TOOL_DESCRIPTION, - GEN_AI_TOOL_NAME, - GEN_AI_TOOL_TYPE, - GEN_AI_USAGE_INPUT_TOKENS, - GEN_AI_USAGE_OUTPUT_TOKENS, - GEN_AI_USAGE_TOTAL_TOKENS, - GenAIOperationName, - GenAIOutputType, -) -from .events import emit_operation_details_event - -# Import utilities and event helpers -from .utils import ( - normalize_output_type, - normalize_provider, - validate_tool_type, -) - -if TYPE_CHECKING: - pass - -# Legacy attributes removed - -logger = logging.getLogger(__name__) - - -def _infer_server_attributes(base_url: Optional[str]) -> dict[str, Any]: - """Return server.address / server.port attributes if base_url provided.""" - out: dict[str, Any] = {} - if not base_url: - return out - try: - parsed = urlparse(base_url) - if parsed.hostname: - out["server.address"] = parsed.hostname - if parsed.port: - out["server.port"] = parsed.port - except Exception: - return {} - return out - - -def safe_json_dumps(obj: Any) -> str: - """Safely convert object to JSON string (fallback to str).""" - try: - return json.dumps(obj, ensure_ascii=False) - except (TypeError, ValueError): - return str(obj) - - -def _as_utc_nano(dt: datetime) -> int: - """Convert datetime to UTC nanoseconds timestamp.""" - return int(dt.astimezone(timezone.utc).timestamp() * 1_000_000_000) - - -def _get_span_status(span: Span[Any]) -> Status: - """Get OpenTelemetry span status from agent span.""" - if error := getattr(span, "error", None): - return Status( - status_code=StatusCode.ERROR, - description=f"{error.get('message', '')}: {error.get('data', '')}", - ) - return Status(StatusCode.OK) - - -def get_span_name( - operation_name: str, - model: Optional[str] = None, - agent_name: Optional[str] = None, - tool_name: Optional[str] = None, -) -> str: - """Generate spec-compliant span name based on operation type.""" - if operation_name == GenAIOperationName.CHAT: - return f"chat {model}" if model else "chat" - elif operation_name == GenAIOperationName.TEXT_COMPLETION: - return f"text_completion {model}" if model else "text_completion" - elif operation_name == GenAIOperationName.EMBEDDINGS: - return f"embeddings {model}" if model else "embeddings" - elif operation_name == GenAIOperationName.CREATE_AGENT: - return f"create_agent {agent_name}" if agent_name else "create_agent" - elif operation_name == GenAIOperationName.INVOKE_AGENT: - return f"invoke_agent {agent_name}" if agent_name else "invoke_agent" - elif operation_name == GenAIOperationName.EXECUTE_TOOL: - return f"execute_tool {tool_name}" if tool_name else "execute_tool" - elif operation_name == GenAIOperationName.TRANSCRIPTION: - return f"transcription {model}" if model else "transcription" - elif operation_name == GenAIOperationName.SPEECH: - return f"speech {model}" if model else "speech" - elif operation_name == GenAIOperationName.GUARDRAIL: - return "guardrail" - elif operation_name == GenAIOperationName.HANDOFF: - return f"handoff {agent_name}" if agent_name else "handoff" - return operation_name - - -class GenAISemanticProcessor(TracingProcessor): - """Trace processor adding GenAI semantic convention attributes with metrics.""" - - def __init__( - self, - tracer: Optional[Tracer] = None, - event_logger: Optional[Any] = None, - system_name: str = "openai", - include_sensitive_data: bool = True, - base_url: Optional[str] = None, - emit_legacy: bool = True, - agent_name: Optional[str] = None, - agent_id: Optional[str] = None, - agent_description: Optional[str] = None, - server_address: Optional[str] = None, - server_port: Optional[int] = None, - ): - """Initialize processor with metrics support. - - Args: - tracer: Optional OpenTelemetry tracer - event_logger: Optional event logger for detailed events - system_name: Provider name (openai/azure.ai.inference/etc.) - include_sensitive_data: Include model/tool IO when True - base_url: API endpoint for server.address/port - emit_legacy: Also emit deprecated attribute names - agent_name: Name of the agent (can be overridden by env var) - agent_id: ID of the agent (can be overridden by env var) - agent_description: Description of the agent (can be overridden by env var) - server_address: Server address (can be overridden by env var or base_url) - server_port: Server port (can be overridden by env var or base_url) - """ - self._tracer = tracer - self._event_logger = event_logger - self.system_name = normalize_provider(system_name) or system_name - self.include_sensitive_data = include_sensitive_data - self.base_url = base_url - # Legacy emission removed; parameter retained for compatibility but unused - self.emit_legacy = False - - # Agent information - use init parameters or defaults - self.agent_name = agent_name or "agent" - self.agent_id = agent_id or "unknown" - self.agent_description = agent_description or "instrumented agent" - - # Server information - use init parameters, then base_url inference - self.server_address = server_address - self.server_port = server_port - - # If server info not provided, try to extract from base_url - if (not self.server_address or not self.server_port) and base_url: - server_attrs = _infer_server_attributes(base_url) - if not self.server_address: - self.server_address = server_attrs.get("server.address") - if not self.server_port: - self.server_port = server_attrs.get("server.port") - - # Span tracking - self._root_spans: dict[str, OtelSpan] = {} - self._otel_spans: dict[str, OtelSpan] = {} - self._tokens: dict[str, object] = {} - - # Metrics configuration (always enabled) - self._metrics_enabled = True - self._meter = None - self._duration_histogram: Optional[Histogram] = None - self._token_usage_histogram: Optional[Histogram] = None - - # Configuration for attribute capture (always enabled) - self._capture_system_instructions = True - self._capture_messages = True - self._capture_tool_definitions = True - - # Initialize metrics if enabled - if self._metrics_enabled: - self._init_metrics() - - def _get_server_attributes(self) -> dict[str, Any]: - """Get server attributes from configured values.""" - attrs = {} - if self.server_address: - attrs["server.address"] = self.server_address - if self.server_port: - attrs["server.port"] = self.server_port - return attrs - - def _init_metrics(self): - """Initialize metric instruments.""" - self._meter = get_meter( - "opentelemetry.instrumentation.openai_agents", "0.1.0" - ) - - # Operation duration histogram - self._duration_histogram = self._meter.create_histogram( - name="gen_ai.client.operation.duration", - description="GenAI operation duration", - unit="s", - ) - - # Token usage histogram - self._token_usage_histogram = self._meter.create_histogram( - name="gen_ai.client.token.usage", - description="Number of input and output tokens used", - unit="{token}", - ) - - def _record_metrics( - self, span: Span[Any], attributes: dict[str, AttributeValue] - ) -> None: - """Record metrics for the span.""" - if not self._metrics_enabled or not self._duration_histogram: - return - - try: - # Calculate duration - duration = None - if hasattr(span, "started_at") and hasattr(span, "ended_at"): - try: - start = datetime.fromisoformat(span.started_at) - end = datetime.fromisoformat(span.ended_at) - duration = (end - start).total_seconds() - except Exception: - pass - - # Build metric attributes - metric_attrs = { - "gen_ai.provider.name": attributes.get(GEN_AI_PROVIDER_NAME), - "gen_ai.operation.name": attributes.get(GEN_AI_OPERATION_NAME), - "gen_ai.request.model": ( - attributes.get(GEN_AI_REQUEST_MODEL) - or attributes.get(GEN_AI_RESPONSE_MODEL) - ), - "server.address": attributes.get("server.address"), - "server.port": attributes.get("server.port"), - } - - # Add error type if present - if error := getattr(span, "error", None): - error_type = error.get("type") or error.get("name") - if error_type: - metric_attrs["error.type"] = error_type - - # Remove None values - metric_attrs = { - k: v for k, v in metric_attrs.items() if v is not None - } - - # Record duration - if duration is not None: - self._duration_histogram.record(duration, metric_attrs) - - # Record token usage - if self._token_usage_histogram: - input_tokens = attributes.get(GEN_AI_USAGE_INPUT_TOKENS) - if isinstance(input_tokens, (int, float)): - token_attrs = dict(metric_attrs) - token_attrs["gen_ai.token.type"] = "input" - self._token_usage_histogram.record( - input_tokens, token_attrs - ) - - output_tokens = attributes.get(GEN_AI_USAGE_OUTPUT_TOKENS) - if isinstance(output_tokens, (int, float)): - token_attrs = dict(metric_attrs) - token_attrs["gen_ai.token.type"] = "output" - self._token_usage_histogram.record( - output_tokens, token_attrs - ) - - except Exception as e: - logger.debug("Failed to record metrics: %s", e) - - def _collect_system_instructions( - self, messages: Sequence[Any] | None - ) -> list[dict[str, str]]: - """Return system/ai role instructions as typed text objects. - - Enforces format: [{"type": "text", "content": "..."}]. - Handles message content that may be a string, list of parts, - or a dict with text/content fields. - """ - if not messages: - return [] - out: list[dict[str, str]] = [] - for m in messages: - if not isinstance(m, dict): - continue - role = m.get("role") - if role in {"system", "ai"}: - content = m.get("content") - out.extend(self._normalize_to_text_parts(content)) - return out - - def _normalize_to_text_parts(self, content: Any) -> list[dict[str, str]]: - """Normalize arbitrary content into typed text parts. - - - String -> [{type: text, content: }] - - List/Tuple -> map each item to a text part (string/dict supported) - - Dict -> use 'text' or 'content' field when available; else str(dict) - - Other -> str(value) - """ - parts: list[dict[str, str]] = [] - if content is None: - return parts - if isinstance(content, str): - parts.append({"type": "text", "content": content}) - return parts - if isinstance(content, (list, tuple)): - for item in content: - if isinstance(item, str): - parts.append({"type": "text", "content": item}) - elif isinstance(item, dict): - txt = item.get("text") or item.get("content") - if isinstance(txt, str) and txt: - parts.append({"type": "text", "content": txt}) - else: - parts.append({"type": "text", "content": str(item)}) - else: - parts.append({"type": "text", "content": str(item)}) - return parts - if isinstance(content, dict): - txt = content.get("text") or content.get("content") - if isinstance(txt, str) and txt: - parts.append({"type": "text", "content": txt}) - else: - parts.append({"type": "text", "content": str(content)}) - return parts - # Fallback for other types - parts.append({"type": "text", "content": str(content)}) - return parts - - def _redacted_text_parts(self) -> list[dict[str, str]]: - """Return a single redacted text part for system instructions.""" - return [{"type": "text", "content": "readacted"}] - - def _normalize_messages_to_role_parts( - self, messages: Sequence[Any] | None - ) -> list[dict[str, Any]]: - """Normalize input messages to enforced role+parts schema. - - Each message becomes: {"role": , "parts": [ {"type": ..., ...} ]} - Redaction: when include_sensitive_data is False, replace text content, - tool_call arguments, and tool_call_response result with "readacted". - """ - if not messages: - return [] - normalized: list[dict[str, Any]] = [] - for m in messages: - if not isinstance(m, dict): - # Fallback: treat as user text - normalized.append( - { - "role": "user", - "parts": [ - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else str(m), - } - ], - } - ) - continue - - role = m.get("role") or "user" - parts: list[dict[str, Any]] = [] - - # Existing parts array - if isinstance(m.get("parts"), (list, tuple)): - for p in m["parts"]: - if isinstance(p, dict): - ptype = p.get("type") or "text" - newp: dict[str, Any] = {"type": ptype} - if ptype == "text": - txt = p.get("content") or p.get("text") - newp["content"] = ( - "readacted" - if not self.include_sensitive_data - else (txt if isinstance(txt, str) else str(p)) - ) - elif ptype == "tool_call": - newp["id"] = p.get("id") - newp["name"] = p.get("name") - args = p.get("arguments") - newp["arguments"] = ( - "readacted" - if not self.include_sensitive_data - else args - ) - elif ptype == "tool_call_response": - newp["id"] = p.get("id") or m.get("tool_call_id") - result = p.get("result") or p.get("content") - newp["result"] = ( - "readacted" - if not self.include_sensitive_data - else result - ) - else: - newp["content"] = ( - "readacted" - if not self.include_sensitive_data - else str(p) - ) - parts.append(newp) - else: - parts.append( - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else str(p), - } - ) - - # OpenAI content - content = m.get("content") - if isinstance(content, str): - parts.append( - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else content, - } - ) - elif isinstance(content, (list, tuple)): - for item in content: - if isinstance(item, dict): - itype = item.get("type") or "text" - if itype == "text": - txt = item.get("text") or item.get("content") - parts.append( - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else ( - txt - if isinstance(txt, str) - else str(item) - ), - } - ) - else: - # Fallback for other part types - parts.append( - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else str(item), - } - ) - else: - parts.append( - { - "type": "text", - "content": "readacted" - if not self.include_sensitive_data - else str(item), - } - ) - - # Assistant tool_calls - if role == "assistant" and isinstance( - m.get("tool_calls"), (list, tuple) - ): - for tc in m["tool_calls"]: - if not isinstance(tc, dict): - continue - p = {"type": "tool_call"} - p["id"] = tc.get("id") - fn = tc.get("function") or {} - if isinstance(fn, dict): - p["name"] = fn.get("name") - args = fn.get("arguments") - p["arguments"] = ( - "readacted" - if not self.include_sensitive_data - else args - ) - parts.append(p) - - # Tool call response - if role in {"tool", "function"}: - p = {"type": "tool_call_response"} - p["id"] = m.get("tool_call_id") or m.get("id") - result = m.get("result") or m.get("content") - p["result"] = ( - "readacted" if not self.include_sensitive_data else result - ) - parts.append(p) - - normalized.append( - {"role": role, "parts": parts or self._redacted_text_parts()} - ) - - return normalized - - def _normalize_output_messages_to_role_parts( - self, span_data: Any - ) -> list[dict[str, Any]]: - """Normalize output messages to enforced role+parts schema. - - Produces: [{"role": "assistant", "parts": [{"type": "text", "content": "..."}], - optional "finish_reason": "..." }] - """ - messages: list[dict[str, Any]] = [] - parts: list[dict[str, Any]] = [] - finish_reason: Optional[str] = None - - # Response span: prefer consolidated output_text - response = getattr(span_data, "response", None) - if response is not None: - # Collect text content - output_text = getattr(response, "output_text", None) - if isinstance(output_text, str) and output_text: - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else output_text - ), - } - ) - else: - output = getattr(response, "output", None) - if isinstance(output, Sequence): - for item in output: - # ResponseOutputMessage may have a string representation - txt = getattr(item, "content", None) - if isinstance(txt, str) and txt: - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else txt - ), - } - ) - else: - # Fallback: stringified - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else str(item) - ), - } - ) - # Capture finish_reason from parts when present - fr = getattr(item, "finish_reason", None) - if isinstance(fr, str) and not finish_reason: - finish_reason = fr - - # Generation span: use span_data.output - if not parts: - output = getattr(span_data, "output", None) - if isinstance(output, Sequence): - for item in output: - if isinstance(item, dict): - if item.get("type") == "text": - txt = item.get("content") or item.get("text") - if isinstance(txt, str) and txt: - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else txt - ), - } - ) - elif "content" in item and isinstance( - item["content"], str - ): - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else item["content"] - ), - } - ) - else: - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else str(item) - ), - } - ) - if not finish_reason and isinstance( - item.get("finish_reason"), str - ): - finish_reason = item.get("finish_reason") - elif isinstance(item, str): - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else item - ), - } - ) - else: - parts.append( - { - "type": "text", - "content": ( - "readacted" - if not self.include_sensitive_data - else str(item) - ), - } - ) - - # Build assistant message - msg: dict[str, Any] = {"role": "assistant", "parts": parts} - if finish_reason: - msg["finish_reason"] = finish_reason - # Only include if there is content - if parts: - messages.append(msg) - return messages - - def _infer_output_type(self, span_data: Any) -> str: - """Infer gen_ai.output.type for multiple span kinds.""" - if isinstance(span_data, FunctionSpanData): - # Tool results are typically JSON - return GenAIOutputType.JSON - if isinstance(span_data, TranscriptionSpanData): - return GenAIOutputType.TEXT - if isinstance(span_data, SpeechSpanData): - return GenAIOutputType.SPEECH - if isinstance(span_data, GuardrailSpanData): - return GenAIOutputType.TEXT - if isinstance(span_data, HandoffSpanData): - return GenAIOutputType.TEXT - - # Check for embeddings operation - if isinstance(span_data, GenerationSpanData): - if hasattr(span_data, "embedding_dimension"): - return ( - GenAIOutputType.TEXT - ) # Embeddings are numeric but represented as text - - # Generation/Response - check output structure - output = getattr(span_data, "output", None) or getattr( - getattr(span_data, "response", None), "output", None - ) - if isinstance(output, Sequence) and output: - first = output[0] - if isinstance(first, dict): - # Check for image/speech indicators - if first.get("type") == "image": - return GenAIOutputType.IMAGE - if first.get("type") == "audio": - return GenAIOutputType.SPEECH - # Check if it's structured JSON - if "type" in first or len(first) > 1: - return GenAIOutputType.JSON - - return GenAIOutputType.TEXT - - def _get_span_kind(self, span_data: Any) -> SpanKind: - """Determine appropriate span kind based on span data type.""" - if isinstance(span_data, FunctionSpanData): - return SpanKind.INTERNAL # Tool execution is internal - if isinstance( - span_data, - ( - GenerationSpanData, - ResponseSpanData, - TranscriptionSpanData, - SpeechSpanData, - ), - ): - return SpanKind.CLIENT # API calls to model providers - if isinstance( - span_data, (AgentSpanData, GuardrailSpanData, HandoffSpanData) - ): - return SpanKind.INTERNAL # Agent operations are internal - return SpanKind.INTERNAL - - def on_trace_start(self, trace: Trace) -> None: - """Create root span when trace starts.""" - if self._tracer: - attributes = { - GEN_AI_PROVIDER_NAME: self.system_name, - } - # Legacy emission removed - - # Add configured agent and server attributes - if self.agent_name: - attributes[GEN_AI_AGENT_NAME] = self.agent_name - if self.agent_id: - attributes[GEN_AI_AGENT_ID] = self.agent_id - if self.agent_description: - attributes[GEN_AI_AGENT_DESCRIPTION] = self.agent_description - attributes.update(self._get_server_attributes()) - - otel_span = self._tracer.start_span( - name=trace.name, - attributes=attributes, - kind=SpanKind.SERVER, # Root span is typically server - ) - self._root_spans[trace.trace_id] = otel_span - - def on_trace_end(self, trace: Trace) -> None: - """End root span when trace ends.""" - if root_span := self._root_spans.pop(trace.trace_id, None): - if root_span.is_recording(): - root_span.set_status(Status(StatusCode.OK)) - root_span.end() - self._cleanup_spans_for_trace(trace.trace_id) - - def on_span_start(self, span: Span[Any]) -> None: - """Start child span for agent span.""" - if not self._tracer or not span.started_at: - return - - parent_span = ( - self._otel_spans.get(span.parent_id) - if span.parent_id - else self._root_spans.get(span.trace_id) - ) - context = set_span_in_context(parent_span) if parent_span else None - - # Get operation details for span naming - operation_name = self._get_operation_name(span.span_data) - model = getattr(span.span_data, "model", None) - - # Use configured agent name or get from span data - agent_name = self.agent_name - if not agent_name and isinstance(span.span_data, AgentSpanData): - agent_name = getattr(span.span_data, "name", None) - - tool_name = ( - getattr(span.span_data, "name", None) - if isinstance(span.span_data, FunctionSpanData) - else None - ) - - # Generate spec-compliant span name - span_name = get_span_name(operation_name, model, agent_name, tool_name) - - attributes = { - GEN_AI_PROVIDER_NAME: self.system_name, - GEN_AI_OPERATION_NAME: operation_name, - } - # Legacy emission removed - - # Add configured agent and server attributes - if self.agent_name: - attributes[GEN_AI_AGENT_NAME] = self.agent_name - if self.agent_id: - attributes[GEN_AI_AGENT_ID] = self.agent_id - if self.agent_description: - attributes[GEN_AI_AGENT_DESCRIPTION] = self.agent_description - attributes.update(self._get_server_attributes()) - - otel_span = self._tracer.start_span( - name=span_name, - context=context, - attributes=attributes, - kind=self._get_span_kind(span.span_data), - ) - self._otel_spans[span.span_id] = otel_span - self._tokens[span.span_id] = attach(set_span_in_context(otel_span)) - - def on_span_end(self, span: Span[Any]) -> None: - """Finalize span with attributes, events, and metrics.""" - if token := self._tokens.pop(span.span_id, None): - detach(token) - - if not (otel_span := self._otel_spans.pop(span.span_id, None)): - # Log attributes even without OTel span - try: - attributes = dict(self._extract_genai_attributes(span)) - for key, value in attributes.items(): - logger.debug( - "GenAI attr span %s: %s=%s", span.span_id, key, value - ) - except Exception as e: - logger.warning( - "Failed to extract attributes for span %s: %s", - span.span_id, - e, - ) - return - - try: - # Extract and set attributes - attributes: dict[str, AttributeValue] = {} - # Optimize for non-sampled spans to avoid heavy work - if not otel_span.is_recording(): - otel_span.end() - return - for key, value in self._extract_genai_attributes(span): - otel_span.set_attribute(key, value) - attributes[key] = value - - # Emit operation details event if configured - if self._event_logger: - emit_operation_details_event( - self._event_logger, attributes, otel_span - ) - - # Set error status if applicable - otel_span.set_status(status=_get_span_status(span)) - if getattr(span, "error", None): - err_obj = span.error - err_type = err_obj.get("type") or err_obj.get("name") - if err_type: - otel_span.set_attribute("error.type", err_type) - - # Record metrics before ending span - self._record_metrics(span, attributes) - - # End the span - otel_span.end() - - except Exception as e: - logger.warning("Failed to enrich span %s: %s", span.span_id, e) - otel_span.set_status(Status(StatusCode.ERROR, str(e))) - otel_span.end() - - def shutdown(self) -> None: - """Clean up resources on shutdown.""" - for span_id, otel_span in list(self._otel_spans.items()): - otel_span.set_status( - Status(StatusCode.ERROR, "Application shutdown") - ) - otel_span.end() - - for trace_id, root_span in list(self._root_spans.items()): - root_span.set_status( - Status(StatusCode.ERROR, "Application shutdown") - ) - root_span.end() - - self._otel_spans.clear() - self._root_spans.clear() - self._tokens.clear() - - def force_flush(self) -> None: - """Force flush (no-op for this processor).""" - pass - - def _get_operation_name(self, span_data: Any) -> str: - """Determine operation name from span data type.""" - if isinstance(span_data, GenerationSpanData): - # Check if it's embeddings - if hasattr(span_data, "embedding_dimension"): - return GenAIOperationName.EMBEDDINGS - # Check if it's chat or completion - if span_data.input: - first_input = span_data.input[0] if span_data.input else None - if isinstance(first_input, dict) and "role" in first_input: - return GenAIOperationName.CHAT - return GenAIOperationName.TEXT_COMPLETION - elif isinstance(span_data, AgentSpanData): - # Could be create_agent or invoke_agent based on context - # Default to invoke_agent (more common) - return GenAIOperationName.INVOKE_AGENT - elif isinstance(span_data, FunctionSpanData): - return GenAIOperationName.EXECUTE_TOOL - elif isinstance(span_data, ResponseSpanData): - return GenAIOperationName.CHAT # Response typically from chat - elif isinstance(span_data, TranscriptionSpanData): - return GenAIOperationName.TRANSCRIPTION - elif isinstance(span_data, SpeechSpanData): - return GenAIOperationName.SPEECH - elif isinstance(span_data, GuardrailSpanData): - return GenAIOperationName.GUARDRAIL - elif isinstance(span_data, HandoffSpanData): - return GenAIOperationName.HANDOFF - return "unknown" - - def _extract_genai_attributes( - self, span: Span[Any] - ) -> Iterator[tuple[str, AttributeValue]]: - """Yield (attr, value) pairs for GenAI semantic conventions.""" - span_data = span.span_data - - # Base attributes - yield GEN_AI_PROVIDER_NAME, self.system_name - # Legacy emission removed - - # Add configured agent attributes (always include when set) - if self.agent_name: - yield GEN_AI_AGENT_NAME, self.agent_name - if self.agent_id: - yield GEN_AI_AGENT_ID, self.agent_id - if self.agent_description: - yield GEN_AI_AGENT_DESCRIPTION, self.agent_description - - # Server attributes - for key, value in self._get_server_attributes().items(): - yield key, value - - # Process different span types - if isinstance(span_data, GenerationSpanData): - yield from self._get_attributes_from_generation_span_data( - span_data - ) - elif isinstance(span_data, AgentSpanData): - yield from self._get_attributes_from_agent_span_data(span_data) - elif isinstance(span_data, FunctionSpanData): - yield from self._get_attributes_from_function_span_data(span_data) - elif isinstance(span_data, ResponseSpanData): - yield from self._get_attributes_from_response_span_data(span_data) - elif isinstance(span_data, TranscriptionSpanData): - yield from self._get_attributes_from_transcription_span_data( - span_data - ) - elif isinstance(span_data, SpeechSpanData): - yield from self._get_attributes_from_speech_span_data(span_data) - elif isinstance(span_data, GuardrailSpanData): - yield from self._get_attributes_from_guardrail_span_data(span_data) - elif isinstance(span_data, HandoffSpanData): - yield from self._get_attributes_from_handoff_span_data(span_data) - - def _get_attributes_from_generation_span_data( - self, span_data: GenerationSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from generation span.""" - # Operation name - operation_name = self._get_operation_name(span_data) - yield GEN_AI_OPERATION_NAME, operation_name - - # Model information - if span_data.model: - yield GEN_AI_REQUEST_MODEL, span_data.model - - # Check for embeddings-specific attributes - if hasattr(span_data, "embedding_dimension"): - yield ( - GEN_AI_EMBEDDINGS_DIMENSION_COUNT, - span_data.embedding_dimension, - ) - - # Check for data source - if hasattr(span_data, "data_source_id"): - yield GEN_AI_DATA_SOURCE_ID, span_data.data_source_id - - # Usage information - if span_data.usage: - usage = span_data.usage - if "prompt_tokens" in usage or "input_tokens" in usage: - tokens = usage.get("prompt_tokens") or usage.get( - "input_tokens" - ) - if tokens is not None: - yield GEN_AI_USAGE_INPUT_TOKENS, tokens - if "completion_tokens" in usage or "output_tokens" in usage: - tokens = usage.get("completion_tokens") or usage.get( - "output_tokens" - ) - if tokens is not None: - yield GEN_AI_USAGE_OUTPUT_TOKENS, tokens - if "total_tokens" in usage: - yield GEN_AI_USAGE_TOTAL_TOKENS, usage["total_tokens"] - - # Model configuration - if span_data.model_config: - mc = span_data.model_config - param_map = { - "temperature": GEN_AI_REQUEST_TEMPERATURE, - "top_p": GEN_AI_REQUEST_TOP_P, - "top_k": GEN_AI_REQUEST_TOP_K, - "max_tokens": GEN_AI_REQUEST_MAX_TOKENS, - "presence_penalty": GEN_AI_REQUEST_PRESENCE_PENALTY, - "frequency_penalty": GEN_AI_REQUEST_FREQUENCY_PENALTY, - "seed": GEN_AI_REQUEST_SEED, - "n": GEN_AI_REQUEST_CHOICE_COUNT, - "stop": GEN_AI_REQUEST_STOP_SEQUENCES, - "encoding_formats": GEN_AI_REQUEST_ENCODING_FORMATS, - } - for k, attr in param_map.items(): - if k in mc and mc[k] is not None: - yield attr, mc[k] - - # Sensitive data capture - if self.include_sensitive_data: - # Input messages (normalized to role+parts) - if self._capture_messages and span_data.input: - normalized_in = self._normalize_messages_to_role_parts( - span_data.input - ) - yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(normalized_in) - - # System instructions - if self._capture_system_instructions and span_data.input: - if self.include_sensitive_data: - sys_instr = self._collect_system_instructions( - span_data.input - ) - else: - sys_instr = self._redacted_text_parts() - if sys_instr: - yield ( - GEN_AI_SYSTEM_INSTRUCTIONS, - safe_json_dumps(sys_instr), - ) - - # Output messages (normalized to role+parts) - if self._capture_messages and ( - span_data.output or getattr(span_data, "response", None) - ): - normalized_out = self._normalize_output_messages_to_role_parts( - span_data - ) - if normalized_out: - yield ( - GEN_AI_OUTPUT_MESSAGES, - safe_json_dumps(normalized_out), - ) - - # Output type - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_agent_span_data( - self, span_data: AgentSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from agent span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.INVOKE_AGENT - - # Use span data values only if not configured globally - if not self.agent_name and span_data.name: - yield GEN_AI_AGENT_NAME, span_data.name - if ( - not self.agent_id - and hasattr(span_data, "agent_id") - and span_data.agent_id - ): - yield GEN_AI_AGENT_ID, span_data.agent_id - if ( - not self.agent_description - and hasattr(span_data, "description") - and span_data.description - ): - yield GEN_AI_AGENT_DESCRIPTION, span_data.description - if hasattr(span_data, "conversation_id") and span_data.conversation_id: - yield GEN_AI_CONVERSATION_ID, span_data.conversation_id - - # Agent definitions - if self._capture_tool_definitions and hasattr( - span_data, "agent_definitions" - ): - yield ( - GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS, - safe_json_dumps(span_data.agent_definitions), - ) - - # System instructions from agent definitions - if self._capture_system_instructions and hasattr( - span_data, "agent_definitions" - ): - try: - defs = span_data.agent_definitions - if isinstance(defs, (list, tuple)): - collected: list[dict[str, str]] = [] - for d in defs: - if isinstance(d, dict): - msgs = d.get("messages") or d.get( - "system_messages" - ) - if isinstance(msgs, (list, tuple)): - collected.extend( - self._collect_system_instructions(msgs) - ) - if collected: - yield ( - GEN_AI_SYSTEM_INSTRUCTIONS, - safe_json_dumps(collected), - ) - except Exception: - pass - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_function_span_data( - self, span_data: FunctionSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from function/tool span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.EXECUTE_TOOL - - if span_data.name: - yield GEN_AI_TOOL_NAME, span_data.name - - # Tool type - validate and normalize - tool_type = "function" # Default for function spans - if hasattr(span_data, "tool_type"): - tool_type = span_data.tool_type - yield GEN_AI_TOOL_TYPE, validate_tool_type(tool_type) - - if hasattr(span_data, "call_id") and span_data.call_id: - yield GEN_AI_TOOL_CALL_ID, span_data.call_id - if hasattr(span_data, "description") and span_data.description: - yield GEN_AI_TOOL_DESCRIPTION, span_data.description - - # Tool definitions - if self._capture_tool_definitions and hasattr( - span_data, "tool_definitions" - ): - yield ( - GEN_AI_TOOL_DEFINITIONS, - safe_json_dumps(span_data.tool_definitions), - ) - - # Tool input/output (sensitive) - if self.include_sensitive_data: - if span_data.input is not None: - arg_val = ( - safe_json_dumps(span_data.input) - if isinstance(span_data.input, (dict, list)) - else str(span_data.input) - ) - yield GEN_AI_TOOL_CALL_ARGUMENTS, arg_val - # Legacy emission removed - - if span_data.output is not None: - res_val = ( - safe_json_dumps(span_data.output) - if isinstance(span_data.output, (dict, list)) - else str(span_data.output) - ) - yield GEN_AI_TOOL_CALL_RESULT, res_val - # Legacy emission removed - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_response_span_data( - self, span_data: ResponseSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from response span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.CHAT - - # Response information - if span_data.response: - if hasattr(span_data.response, "id") and span_data.response.id: - yield GEN_AI_RESPONSE_ID, span_data.response.id - - # Model from response - if ( - hasattr(span_data.response, "model") - and span_data.response.model - ): - yield GEN_AI_RESPONSE_MODEL, span_data.response.model - if not getattr(span_data, "model", None): - yield GEN_AI_REQUEST_MODEL, span_data.response.model - - # Finish reasons - finish_reasons = [] - if ( - hasattr(span_data.response, "output") - and span_data.response.output - ): - for part in span_data.response.output: - fr = getattr(part, "finish_reason", None) - if fr: - finish_reasons.append(fr) - if finish_reasons: - yield GEN_AI_RESPONSE_FINISH_REASONS, finish_reasons - - # Usage from response - if ( - hasattr(span_data.response, "usage") - and span_data.response.usage - ): - usage = span_data.response.usage - if ( - hasattr(usage, "prompt_tokens") - and usage.prompt_tokens is not None - ): - yield GEN_AI_USAGE_INPUT_TOKENS, usage.prompt_tokens - if ( - hasattr(usage, "completion_tokens") - and usage.completion_tokens is not None - ): - yield GEN_AI_USAGE_OUTPUT_TOKENS, usage.completion_tokens - if ( - hasattr(usage, "total_tokens") - and usage.total_tokens is not None - ): - yield GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens - - # Input/output messages - if self.include_sensitive_data: - # Input messages (normalized to role+parts) - if self._capture_messages and span_data.input: - normalized_in = self._normalize_messages_to_role_parts( - span_data.input - ) - yield GEN_AI_INPUT_MESSAGES, safe_json_dumps(normalized_in) - - # System instructions - if self._capture_system_instructions and span_data.input: - if self.include_sensitive_data: - sys_instr = self._collect_system_instructions( - span_data.input - ) - else: - sys_instr = self._redacted_text_parts() - if sys_instr: - yield ( - GEN_AI_SYSTEM_INSTRUCTIONS, - safe_json_dumps(sys_instr), - ) - - # Output messages (normalized to role+parts) - if self._capture_messages: - # normalized from span_data response/output - normalized_out = self._normalize_output_messages_to_role_parts( - span_data - ) - if normalized_out: - yield ( - GEN_AI_OUTPUT_MESSAGES, - safe_json_dumps(normalized_out), - ) - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_transcription_span_data( - self, span_data: TranscriptionSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from transcription span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.TRANSCRIPTION - - if hasattr(span_data, "model") and span_data.model: - yield GEN_AI_REQUEST_MODEL, span_data.model - - # Audio format - if hasattr(span_data, "format") and span_data.format: - yield "gen_ai.audio.input.format", span_data.format - - # Transcript (sensitive) - if self.include_sensitive_data: - if self._capture_messages and hasattr(span_data, "transcript"): - yield "gen_ai.transcription.text", span_data.transcript - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_speech_span_data( - self, span_data: SpeechSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from speech span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.SPEECH - - if hasattr(span_data, "model") and span_data.model: - yield GEN_AI_REQUEST_MODEL, span_data.model - - if hasattr(span_data, "voice") and span_data.voice: - yield "gen_ai.speech.voice", span_data.voice - - if hasattr(span_data, "format") and span_data.format: - yield "gen_ai.audio.output.format", span_data.format - - # Input text (sensitive) - if self.include_sensitive_data: - if self._capture_messages and hasattr(span_data, "input_text"): - yield "gen_ai.speech.input_text", span_data.input_text - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_guardrail_span_data( - self, span_data: GuardrailSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from guardrail span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.GUARDRAIL - - if span_data.name: - yield GEN_AI_GUARDRAIL_NAME, span_data.name - - yield GEN_AI_GUARDRAIL_TRIGGERED, span_data.triggered - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _get_attributes_from_handoff_span_data( - self, span_data: HandoffSpanData - ) -> Iterator[tuple[str, AttributeValue]]: - """Extract attributes from handoff span.""" - yield GEN_AI_OPERATION_NAME, GenAIOperationName.HANDOFF - - if span_data.from_agent: - yield GEN_AI_HANDOFF_FROM_AGENT, span_data.from_agent - - if span_data.to_agent: - yield GEN_AI_HANDOFF_TO_AGENT, span_data.to_agent - - yield ( - GEN_AI_OUTPUT_TYPE, - normalize_output_type(self._infer_output_type(span_data)), - ) - - def _cleanup_spans_for_trace(self, trace_id: str) -> None: - """Clean up spans for a trace to prevent memory leaks.""" - spans_to_remove = [ - span_id - for span_id in self._otel_spans.keys() - if span_id.startswith(trace_id) - ] - for span_id in spans_to_remove: - if otel_span := self._otel_spans.pop(span_id, None): - otel_span.set_status( - Status( - StatusCode.ERROR, "Trace ended before span completion" - ) - ) - otel_span.end() - self._tokens.pop(span_id, None) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py deleted file mode 100644 index 334f451328..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/instruments.py +++ /dev/null @@ -1,91 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""Metric instrument definitions for OpenAI Agents GenAI instrumentation. - -We expose a minimal stable set of metrics (development status): - - gen_ai.client.operation.duration (Histogram, seconds) - - gen_ai.client.tokens.input (Counter, tokens) - - gen_ai.client.tokens.output (Counter, tokens) - - gen_ai.client.requests (Counter, requests) - -Helper functions create instruments lazily (idempotent) to avoid side-effects -when metrics are disabled via environment flag. -""" - -from __future__ import annotations - -from typing import Dict - -from opentelemetry import metrics - -METER_NAME = "opentelemetry.instrumentation.openai_agents" - -_METER = None -_INSTRUMENTS: Dict[str, object] = {} - - -def _get_meter(): - global _METER - if _METER is None: - _METER = metrics.get_meter(METER_NAME) - return _METER - - -def get_instruments() -> Dict[str, object]: - """Create (if needed) and return metric instruments.""" - meter = _get_meter() - if "duration" not in _INSTRUMENTS: - _INSTRUMENTS["duration"] = meter.create_histogram( - name="gen_ai.client.operation.duration", - unit="s", - description="Duration of GenAI client operations", - ) - if "requests" not in _INSTRUMENTS: - _INSTRUMENTS["requests"] = meter.create_counter( - name="gen_ai.client.requests", - unit="1", - description="Number of GenAI client operations", - ) - if "tokens_input" not in _INSTRUMENTS: - _INSTRUMENTS["tokens_input"] = meter.create_counter( - name="gen_ai.client.tokens.input", - unit="token", - description="Input (prompt) tokens consumed", - ) - if "tokens_output" not in _INSTRUMENTS: - _INSTRUMENTS["tokens_output"] = meter.create_counter( - name="gen_ai.client.tokens.output", - unit="token", - description="Output (completion) tokens produced", - ) - return _INSTRUMENTS - - -def record_duration(seconds: float, **attrs) -> None: - inst = get_instruments()["duration"] - inst.record(seconds, attributes=attrs) # type: ignore[attr-defined] - - -def record_request(**attrs) -> None: - get_instruments()["requests"].add(1, attributes=attrs) # type: ignore[attr-defined] - - -def record_tokens( - input_tokens: int | None, output_tokens: int | None, **attrs -) -> None: - if input_tokens is not None: - get_instruments()["tokens_input"].add(input_tokens, attributes=attrs) # type: ignore[attr-defined] - if output_tokens is not None: - get_instruments()["tokens_output"].add(output_tokens, attributes=attrs) # type: ignore[attr-defined] diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py index 639c635596..7264efed5a 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py @@ -13,4 +13,4 @@ # limitations under the License. _instruments = ("openai-agents >= 0.3.2",) -_supports_metrics = True +_supports_metrics = False diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py deleted file mode 100644 index 63e1005aa9..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/utils.py +++ /dev/null @@ -1,77 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from typing import Optional - -from .constants import GenAIOutputType, GenAIProvider, GenAIToolType - - -def get_agent_operation_name(operation: str) -> str: - """Get the operation name for agent operations.""" - return f"openai_agents.{operation}" - - -def get_agent_span_name(operation: str, model: Optional[str] = None) -> str: - """Get the span name for agent operations.""" - if model: - return f"openai_agents {operation} {model}" - return f"openai_agents {operation}" - - -# ---------------- Normalization / Validation Helpers ---------------- - - -def normalize_provider(provider: Optional[str]) -> Optional[str]: - """Normalize provider name to spec-compliant value.""" - if not provider: - return None - p = provider.strip().lower() - if p in GenAIProvider.ALL: - return p - return provider # passthrough if unknown (forward compat) - - -def validate_tool_type(tool_type: Optional[str]) -> str: - """Validate and normalize tool type.""" - if not tool_type: - return GenAIToolType.FUNCTION # default - t = tool_type.strip().lower() - return t if t in GenAIToolType.ALL else GenAIToolType.FUNCTION - - -def normalize_output_type(output_type: Optional[str]) -> str: - """Normalize output type to spec-compliant value.""" - if not output_type: - return GenAIOutputType.TEXT # default - o = output_type.strip().lower() - base_map = { - "json_object": GenAIOutputType.JSON, - "jsonschema": GenAIOutputType.JSON, - "speech_audio": GenAIOutputType.SPEECH, - "audio_speech": GenAIOutputType.SPEECH, - "image_png": GenAIOutputType.IMAGE, - "function_arguments_json": GenAIOutputType.JSON, - "tool_call": GenAIOutputType.JSON, - "transcription_json": GenAIOutputType.JSON, - } - if o in base_map: - return base_map[o] - if o in { - GenAIOutputType.TEXT, - GenAIOutputType.JSON, - GenAIOutputType.IMAGE, - GenAIOutputType.SPEECH, - }: - return o - return GenAIOutputType.TEXT # default for unknown diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py deleted file mode 100644 index b0a6f42841..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py deleted file mode 100644 index fea5f93c35..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_openai_agents.py +++ /dev/null @@ -1,72 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import unittest -from unittest import mock - -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.test.test_base import TestBase - - -class TestOpenAIAgentsInstrumentor(TestBase): - def setUp(self): - super().setUp() - self.instrumentor = OpenAIAgentsInstrumentor() - - def tearDown(self): - super().tearDown() - self.instrumentor.uninstrument() - - def test_instrument(self): - """Test that the instrumentor can be enabled.""" - self.instrumentor.instrument() - self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) - - def test_uninstrument(self): - """Test that the instrumentor can be disabled.""" - self.instrumentor.instrument() - self.instrumentor.uninstrument() - self.assertFalse(self.instrumentor.is_instrumented_by_opentelemetry) - - def test_instrumentation_dependencies(self): - """Test that instrumentation dependencies are returned.""" - dependencies = self.instrumentor.instrumentation_dependencies() - self.assertIsInstance(dependencies, tuple) - self.assertEqual(dependencies, ("openai-agents >= 0.3.2",)) - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true"}, - ) - def test_capture_content_enabled(self): - """Test that content capture can be enabled via environment variable.""" - self.instrumentor.instrument() - # The test passes if no exception is raised during instrumentation - self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "false"}, - ) - def test_metrics_disabled(self): - """Test that metrics capture can be disabled via environment variable.""" - self.instrumentor.instrument() - # The test passes if no exception is raised during instrumentation - self.assertTrue(self.instrumentor.is_instrumented_by_opentelemetry) - - -if __name__ == "__main__": - unittest.main() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py deleted file mode 100644 index efa61025fe..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/tests/test_utils.py +++ /dev/null @@ -1,92 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -import unittest -from unittest import mock - -from opentelemetry.instrumentation.openai_agents.utils import ( - get_agent_operation_name, - get_agent_span_name, - is_content_enabled, - is_metrics_enabled, -) - - -class TestUtils(unittest.TestCase): - def test_get_agent_operation_name(self): - """Test get_agent_operation_name function.""" - result = get_agent_operation_name("chat") - self.assertEqual(result, "openai_agents.chat") - - def test_get_agent_span_name_with_model(self): - """Test get_agent_span_name function with model.""" - result = get_agent_span_name("chat", "gpt-4") - self.assertEqual(result, "openai_agents chat gpt-4") - - def test_get_agent_span_name_without_model(self): - """Test get_agent_span_name function without model.""" - result = get_agent_span_name("chat") - self.assertEqual(result, "openai_agents chat") - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "true"}, - ) - def test_is_content_enabled_true(self): - """Test is_content_enabled returns True when env var is 'true'.""" - result = is_content_enabled() - self.assertTrue(result) - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_CONTENT": "false"}, - ) - def test_is_content_enabled_false(self): - """Test is_content_enabled returns False when env var is 'false'.""" - result = is_content_enabled() - self.assertFalse(result) - - @mock.patch.dict("os.environ", {}, clear=True) - def test_is_content_enabled_default(self): - """Test is_content_enabled returns False by default.""" - result = is_content_enabled() - self.assertFalse(result) - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "true"}, - ) - def test_is_metrics_enabled_true(self): - """Test is_metrics_enabled returns True when env var is 'true'.""" - result = is_metrics_enabled() - self.assertTrue(result) - - @mock.patch.dict( - "os.environ", - {"OTEL_INSTRUMENTATION_OPENAI_AGENTS_CAPTURE_METRICS": "false"}, - ) - def test_is_metrics_enabled_false(self): - """Test is_metrics_enabled returns False when env var is 'false'.""" - result = is_metrics_enabled() - self.assertFalse(result) - - @mock.patch.dict("os.environ", {}, clear=True) - def test_is_metrics_enabled_default(self): - """Test is_metrics_enabled returns True by default.""" - result = is_metrics_enabled() - self.assertTrue(result) - - -if __name__ == "__main__": - unittest.main() From 63910a48f91e149482dea4e5ee1e3a3b64ba3686 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Thu, 2 Oct 2025 14:22:08 -0700 Subject: [PATCH 23/30] chore(openai-agents): barebones skeleton (no constants/events/metrics) --- .../examples/weekend_planner_appinsights.py | 280 ------------------ .../openai_agents/constants.py | 117 -------- 2 files changed, 397 deletions(-) delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py delete mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py deleted file mode 100644 index 7c9553cde4..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/examples/weekend_planner_appinsights.py +++ /dev/null @@ -1,280 +0,0 @@ -"""Weekend planner with OpenAI Agents + OpenTelemetry traces to Azure Application Insights. - -Prereqs: -- pip install openai openai-agents opentelemetry-sdk azure-monitor-opentelemetry-exporter python-dotenv rich -- Set APPLICATION_INSIGHTS_CONNECTION_STRING in your environment -- For GitHub Models: set GITHUB_TOKEN (and optionally GITHUB_OPENAI_BASE_URL, GITHUB_MODEL) -- For Azure OpenAI: set AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_VERSION, AZURE_OPENAI_CHAT_DEPLOYMENT -""" - -from __future__ import annotations - -import asyncio -import logging -import os -import random -from dataclasses import dataclass -from datetime import datetime -from typing import Callable -from urllib.parse import urlparse - -import azure.identity -import openai -from agents import ( - Agent, - OpenAIChatCompletionsModel, - Runner, - function_tool, - set_tracing_disabled, -) -from dotenv import load_dotenv -from rich.logging import RichHandler - -from opentelemetry import trace -from opentelemetry.instrumentation.openai_agents import ( - OpenAIAgentsInstrumentor, -) -from opentelemetry.sdk.resources import Resource -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import ( - BatchSpanProcessor, - ConsoleSpanExporter, -) - -load_dotenv(override=True) - -logging.basicConfig( - level=logging.WARNING, - format="%(message)s", - datefmt="[%X]", - handlers=[RichHandler()], -) -logger = logging.getLogger("weekend_planner") - - -@dataclass -class _ApiConfig: - """Helper describing how to create the OpenAI client.""" - - build_client: Callable[[], openai.AsyncOpenAI] - model_name: str - base_url: str - provider: str - - -def _set_capture_env(provider: str, base_url: str) -> None: - """Set GenAI capture context (optional; capture defaults to enabled).""" - os.environ.setdefault("OTEL_GENAI_AGENT_NAME", "Weekend Planner Agent") - os.environ.setdefault( - "OTEL_GENAI_AGENT_DESCRIPTION", - "Assistant that plans weekend activities using weather and events data", - ) - os.environ.setdefault("OTEL_GENAI_AGENT_ID", "weekend-planner") - - parsed = urlparse(base_url) - if parsed.hostname: - os.environ.setdefault("OTEL_GENAI_SERVER_ADDRESS", parsed.hostname) - if parsed.port: - os.environ.setdefault("OTEL_GENAI_SERVER_PORT", str(parsed.port)) - - -def _resolve_api_config() -> _ApiConfig: - """Return the client configuration for the requested host.""" - - host = os.getenv("API_HOST", "github").lower() - - if host == "github": - base_url = os.getenv( - "GITHUB_OPENAI_BASE_URL", - "https://models.inference.ai.azure.com", - ).rstrip("/") - model_name = os.getenv("GITHUB_MODEL", "gpt-4o") - api_key = os.environ["GITHUB_TOKEN"] - - def _build_client() -> openai.AsyncOpenAI: - return openai.AsyncOpenAI(base_url=base_url, api_key=api_key) - - return _ApiConfig( - build_client=_build_client, - model_name=model_name, - base_url=base_url, - provider="azure.ai.inference", - ) - - if host == "azure": - endpoint = os.environ["AZURE_OPENAI_ENDPOINT"].rstrip("/") - api_version = os.environ["AZURE_OPENAI_VERSION"] - deployment = os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"] - - credential = azure.identity.DefaultAzureCredential() - token_provider = azure.identity.get_bearer_token_provider( - credential, - "https://cognitiveservices.azure.com/.default", - ) - - def _build_client() -> openai.AsyncAzureOpenAI: - return openai.AsyncAzureOpenAI( - api_version=api_version, - azure_endpoint=endpoint, - azure_ad_token_provider=token_provider, - ) - - return _ApiConfig( - build_client=_build_client, - model_name=deployment, - base_url=endpoint, - provider="azure.ai.openai", - ) - - raise ValueError(f"Unsupported API_HOST '{host}'") - - -def _configure_otel() -> None: - """Configure tracer provider to export to both Console and Azure Monitor. - - - Always adds ConsoleSpanExporter for local visibility. - - Adds AzureMonitorTraceExporter when APPLICATION_INSIGHTS_CONNECTION_STRING is set - and the azure-monitor-opentelemetry-exporter package is installed. - """ - - conn = os.getenv("APPLICATION_INSIGHTS_CONNECTION_STRING") - resource = Resource.create( - { - "service.name": "weekend-planner-service", - "service.namespace": "leisure-orchestration", - "service.version": os.getenv("SERVICE_VERSION", "1.0.0"), - } - ) - - tracer_provider = TracerProvider(resource=resource) - - # Always enable console exporter - tracer_provider.add_span_processor( - BatchSpanProcessor(ConsoleSpanExporter()) - ) - print("[otel] Console span exporter configured") - - # Optionally add Azure Monitor exporter - if conn: - try: - from azure.monitor.opentelemetry.exporter import ( - AzureMonitorTraceExporter, - ) - except ImportError: - print( - "[otel] Azure Monitor exporter not installed. " - "Install with: pip install azure-monitor-opentelemetry-exporter", - ) - else: - tracer_provider.add_span_processor( - BatchSpanProcessor( - AzureMonitorTraceExporter.from_connection_string(conn) - ) - ) - print("[otel] Azure Monitor trace exporter configured") - else: - print( - "[otel] APPLICATION_INSIGHTS_CONNECTION_STRING not set; skipping Azure Monitor" - ) - - trace.set_tracer_provider(tracer_provider) - - -api_config = _resolve_api_config() -_set_capture_env(api_config.provider, api_config.base_url) -_configure_otel() - -OpenAIAgentsInstrumentor().instrument( - tracer_provider=trace.get_tracer_provider() -) - -client = api_config.build_client() -set_tracing_disabled(False) - - -@function_tool -def get_weather(city: str) -> dict[str, object]: - logger.info("Getting weather for %s", city) - if random.random() < 0.05: - return { - "city": city, - "temperature": 72, - "description": "Sunny", - } - return { - "city": city, - "temperature": 60, - "description": "Rainy", - } - - -@function_tool -def get_activities(city: str, date: str) -> list[dict[str, object]]: - logger.info("Getting activities for %s on %s", city, date) - return [ - {"name": "Hiking", "location": city}, - {"name": "Beach", "location": city}, - {"name": "Museum", "location": city}, - ] - - -@function_tool -def get_current_date() -> str: - """Gets the current date and returns as YYYY-MM-DD.""" - logger.info("Getting current date") - return datetime.now().strftime("%Y-%m-%d") - - -agent = Agent( - name="Weekend Planner", - instructions=( - "You help users plan their weekends and choose the best activities for the given weather. " - "If an activity would be unpleasant in the weather, don't suggest it. Include the date of the weekend in your response." - ), - tools=[get_weather, get_activities, get_current_date], - model=OpenAIChatCompletionsModel( - model=api_config.model_name, openai_client=client - ), -) - - -def _root_span_name(provider: str) -> str: - return f"weekend_planning_session[{provider}]" - - -async def main() -> None: - tracer = trace.get_tracer(__name__) - with tracer.start_as_current_span( - _root_span_name(api_config.provider) - ) as span: - user_request = "What can I do this weekend in Seattle?" - - span.set_attribute("user.request", user_request) - span.set_attribute("api.host", os.getenv("API_HOST", "github")) - span.set_attribute("model.name", api_config.model_name) - span.set_attribute("agent.name", agent.name) - span.set_attribute("target.city", "Seattle") - - try: - result = await Runner.run(agent, input=user_request) - print(result.final_output) - - span.set_attribute( - "agent.response", - result.final_output[:500] if result.final_output else "", - ) - span.set_attribute("request.success", True) - logger.info("Weekend planning completed successfully") - except Exception as exc: - span.record_exception(exc) - span.set_attribute("request.success", False) - logger.error("Error during weekend planning: %s", exc) - raise - - -if __name__ == "__main__": - logger.setLevel(logging.INFO) - try: - asyncio.run(main()) - finally: - trace.get_tracer_provider().shutdown() diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py deleted file mode 100644 index 37f429cf99..0000000000 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/constants.py +++ /dev/null @@ -1,117 +0,0 @@ -# Copyright The OpenTelemetry Authors -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -"""GenAI semantic attribute constants and enums (attributes-only). - -This module centralizes the attribute keys and common enum-like values -used by GenAI instrumentation so they can be referenced consistently. -""" - -from __future__ import annotations - - -class GenAIProvider: - OPENAI = "openai" - AZURE_AI_OPENAI = "azure.ai.openai" - AZURE_AI_INFERENCE = "azure.ai.inference" - ANTHROPIC = "anthropic" - COHERE = "cohere" - AWS_BEDROCK = "aws.bedrock" - GCP_VERTEX_AI = "gcp.vertex_ai" - GCP_GEMINI = "gcp.gemini" - IBM_WATSONX_AI = "ibm.watsonx.ai" - MISTRAL_AI = "mistral_ai" - GROQ = "groq" - PERPLEXITY = "perplexity" - X_AI = "x_ai" - DEEPSEEK = "deepseek" - - -class GenAIOperationName: - CHAT = "chat" - GENERATE_CONTENT = "generate_content" - TEXT_COMPLETION = "text_completion" - EMBEDDINGS = "embeddings" - CREATE_AGENT = "create_agent" - INVOKE_AGENT = "invoke_agent" - EXECUTE_TOOL = "execute_tool" - TRANSCRIPTION = "transcription" - SPEECH = "speech_generation" - GUARDRAIL = "guardrail_check" - HANDOFF = "agent_handoff" - RESPONSE = "response" - - -class GenAIOutputType: - TEXT = "text" - JSON = "json" - IMAGE = "image" - SPEECH = "speech" - - -class GenAIToolType: - FUNCTION = "function" - EXTENSION = "extension" - DATASTORE = "datastore" - - -class GenAIEvaluationAttributes: - NAME = "gen_ai.evaluation.name" - SCORE_VALUE = "gen_ai.evaluation.score.value" - SCORE_LABEL = "gen_ai.evaluation.score.label" - EXPLANATION = "gen_ai.evaluation.explanation" - - -# Attribute keys -GEN_AI_PROVIDER_NAME = "gen_ai.provider.name" -GEN_AI_OPERATION_NAME = "gen_ai.operation.name" -GEN_AI_REQUEST_MODEL = "gen_ai.request.model" -GEN_AI_REQUEST_MAX_TOKENS = "gen_ai.request.max_tokens" -GEN_AI_REQUEST_TEMPERATURE = "gen_ai.request.temperature" -GEN_AI_REQUEST_TOP_P = "gen_ai.request.top_p" -GEN_AI_REQUEST_TOP_K = "gen_ai.request.top_k" -GEN_AI_REQUEST_FREQUENCY_PENALTY = "gen_ai.request.frequency_penalty" -GEN_AI_REQUEST_PRESENCE_PENALTY = "gen_ai.request.presence_penalty" -GEN_AI_REQUEST_CHOICE_COUNT = "gen_ai.request.choice.count" -GEN_AI_REQUEST_STOP_SEQUENCES = "gen_ai.request.stop_sequences" -GEN_AI_REQUEST_ENCODING_FORMATS = "gen_ai.request.encoding_formats" -GEN_AI_REQUEST_SEED = "gen_ai.request.seed" -GEN_AI_RESPONSE_ID = "gen_ai.response.id" -GEN_AI_RESPONSE_MODEL = "gen_ai.response.model" -GEN_AI_RESPONSE_FINISH_REASONS = "gen_ai.response.finish_reasons" -GEN_AI_USAGE_INPUT_TOKENS = "gen_ai.usage.input_tokens" -GEN_AI_USAGE_OUTPUT_TOKENS = "gen_ai.usage.output_tokens" -GEN_AI_USAGE_TOTAL_TOKENS = "gen_ai.usage.total_tokens" -GEN_AI_CONVERSATION_ID = "gen_ai.conversation.id" -GEN_AI_AGENT_ID = "gen_ai.agent.id" -GEN_AI_AGENT_NAME = "gen_ai.agent.name" -GEN_AI_AGENT_DESCRIPTION = "gen_ai.agent.description" -GEN_AI_TOOL_NAME = "gen_ai.tool.name" -GEN_AI_TOOL_TYPE = "gen_ai.tool.type" -GEN_AI_TOOL_CALL_ID = "gen_ai.tool.call.id" -GEN_AI_TOOL_DESCRIPTION = "gen_ai.tool.description" -GEN_AI_TOOL_CALL_ARGUMENTS = "gen_ai.tool.call.arguments" -GEN_AI_TOOL_CALL_RESULT = "gen_ai.tool.call.result" -GEN_AI_TOOL_DEFINITIONS = "gen_ai.tool.definitions" -GEN_AI_ORCHESTRATOR_AGENT_DEFINITIONS = "gen_ai.orchestrator.agent.definitions" -GEN_AI_OUTPUT_TYPE = "gen_ai.output.type" -GEN_AI_SYSTEM_INSTRUCTIONS = "gen_ai.system_instructions" -GEN_AI_INPUT_MESSAGES = "gen_ai.input.messages" -GEN_AI_OUTPUT_MESSAGES = "gen_ai.output.messages" -GEN_AI_GUARDRAIL_NAME = "gen_ai.guardrail.name" -GEN_AI_GUARDRAIL_TRIGGERED = "gen_ai.guardrail.triggered" -GEN_AI_HANDOFF_FROM_AGENT = "gen_ai.handoff.from_agent" -GEN_AI_HANDOFF_TO_AGENT = "gen_ai.handoff.to_agent" -GEN_AI_EMBEDDINGS_DIMENSION_COUNT = "gen_ai.embeddings.dimension.count" -GEN_AI_DATA_SOURCE_ID = "gen_ai.data_source.id" From 4838e7990b018ce046072a1cebad6f26a727b06e Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Thu, 2 Oct 2025 15:13:30 -0700 Subject: [PATCH 24/30] chore(bootstrap): require openai-agents>=0.3.2 for openai-agents instrumentation (barebones) --- .../src/opentelemetry/instrumentation/bootstrap_gen.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py index c017bed38e..94a1945036 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py @@ -17,7 +17,7 @@ libraries = [ { - "library": "openai >= 1.26.0", + "library": "openai-agents >= 0.3.2", "instrumentation": "opentelemetry-instrumentation-openai-agents==0.1.0.dev", }, { From c36517bee55cbaf1dd877166de659c23e5dacb90 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Mon, 6 Oct 2025 09:48:09 -0700 Subject: [PATCH 25/30] docs(openai-agents): add CHANGELOG.md to barebones package --- .../CHANGELOG.md | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md new file mode 100644 index 0000000000..f01a53155a --- /dev/null +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/CHANGELOG.md @@ -0,0 +1,11 @@ +# Changelog + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## Unreleased + +- Initial barebones package skeleton: minimal instrumentor stub, version module, + and packaging metadata/entry point. From e043766e49ec88ea389d33dc2ac0452342583f46 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Mon, 6 Oct 2025 10:07:25 -0700 Subject: [PATCH 26/30] Tox errors --- instrumentation-genai/README.md | 2 +- .../pyproject.toml | 6 ++++++ .../src/opentelemetry/instrumentation/bootstrap_gen.py | 2 +- 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/instrumentation-genai/README.md b/instrumentation-genai/README.md index 63307b08c2..81eb054dfb 100644 --- a/instrumentation-genai/README.md +++ b/instrumentation-genai/README.md @@ -3,7 +3,7 @@ | --------------- | ------------------ | --------------- | -------------- | | [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development | [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development -| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agent >= 0.1.0 | Yes | development +| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agents >= 0.3.2 | No | development | [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development | [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development | [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml index 100db101ce..5c3baf7261 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -26,6 +26,12 @@ classifiers = [ dependencies = [ "opentelemetry-api ~= 1.30", "opentelemetry-instrumentation ~= 0.51b0", + "opentelemetry-semantic-conventions ~= 0.51b0" +] + +[project.optional-dependencies] +instruments = [ + "openai-agents >= 0.3.3", ] [project.entry-points.opentelemetry_instrumentor] diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py index 94a1945036..b7190d6217 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py @@ -17,7 +17,7 @@ libraries = [ { - "library": "openai-agents >= 0.3.2", + "library": "openai-agents >= 0.3.3", "instrumentation": "opentelemetry-instrumentation-openai-agents==0.1.0.dev", }, { From 101a7dae699ea2ca0697c8830714ba719c6901a7 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Mon, 6 Oct 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version = "8.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" }, + { name = "h11", marker = "python_full_version >= '3.10'" }, + { name = "typing-extensions", marker = "python_full_version == '3.10.*'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/71/57/1616c8274c3442d802621abf5deb230771c7a0fec9414cb6763900eb3868/uvicorn-0.37.0.tar.gz", hash = "sha256:4115c8add6d3fd536c8ee77f0e14a7fd2ebba939fed9b02583a97f80648f9e13", size = 80367 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/85/cd/584a2ceb5532af99dd09e50919e3615ba99aa127e9850eafe5f31ddfdb9a/uvicorn-0.37.0-py3-none-any.whl", hash = "sha256:913b2b88672343739927ce381ff9e2ad62541f9f8289664fa1d1d3803fa2ce6c", size = 67976 }, +] + [[package]] name = "validators" version = "0.35.0" From e3aa37d765bdb272a163049c734f72125aa07ee6 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Mon, 6 Oct 2025 14:38:52 -0700 Subject: [PATCH 28/30] update deps --- .../pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml index 5c3baf7261..bcde96663c 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -25,8 +25,8 @@ classifiers = [ ] dependencies = [ "opentelemetry-api ~= 1.30", - "opentelemetry-instrumentation ~= 0.51b0", - "opentelemetry-semantic-conventions ~= 0.51b0" + "opentelemetry-instrumentation >= 0.58b0", + "opentelemetry-semantic-conventions >= 0.58b0" ] [project.optional-dependencies] From 4274345eda7eed015ca45286a412da158c49b6a3 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 7 Oct 2025 06:36:28 -0700 Subject: [PATCH 29/30] Updates according to comments. --- instrumentation-genai/README.md | 2 +- .../opentelemetry/instrumentation/openai_agents/package.py | 2 +- .../src/opentelemetry/instrumentation/bootstrap_gen.py | 4 ---- scripts/generate_instrumentation_bootstrap.py | 4 ++++ 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/instrumentation-genai/README.md b/instrumentation-genai/README.md index 81eb054dfb..0db61b1bcd 100644 --- a/instrumentation-genai/README.md +++ b/instrumentation-genai/README.md @@ -3,7 +3,7 @@ | --------------- | ------------------ | --------------- | -------------- | | [opentelemetry-instrumentation-google-genai](./opentelemetry-instrumentation-google-genai) | google-genai >= 1.0.0 | No | development | [opentelemetry-instrumentation-langchain](./opentelemetry-instrumentation-langchain) | langchain >= 0.3.21 | No | development -| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agents >= 0.3.2 | No | development +| [opentelemetry-instrumentation-openai-agents](./opentelemetry-instrumentation-openai-agents) | openai-agents >= 0.3.3 | No | development | [opentelemetry-instrumentation-openai-v2](./opentelemetry-instrumentation-openai-v2) | openai >= 1.26.0 | Yes | development | [opentelemetry-instrumentation-vertexai](./opentelemetry-instrumentation-vertexai) | google-cloud-aiplatform >= 1.64 | No | development | [opentelemetry-instrumentation-weaviate](./opentelemetry-instrumentation-weaviate) | weaviate-client >= 3.0.0,<5.0.0 | No | development \ No newline at end of file diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py index 7264efed5a..18bd3f6a22 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/src/opentelemetry/instrumentation/openai_agents/package.py @@ -12,5 +12,5 @@ # See the License for the specific language governing permissions and # limitations under the License. -_instruments = ("openai-agents >= 0.3.2",) +_instruments = ("openai-agents >= 0.3.3",) _supports_metrics = False diff --git a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py index b7190d6217..fae84a772a 100644 --- a/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py +++ b/opentelemetry-instrumentation/src/opentelemetry/instrumentation/bootstrap_gen.py @@ -16,10 +16,6 @@ # RUN `python scripts/generate_instrumentation_bootstrap.py` TO REGENERATE. libraries = [ - { - "library": "openai-agents >= 0.3.3", - "instrumentation": "opentelemetry-instrumentation-openai-agents==0.1.0.dev", - }, { "library": "openai >= 1.26.0", "instrumentation": "opentelemetry-instrumentation-openai-v2", diff --git a/scripts/generate_instrumentation_bootstrap.py b/scripts/generate_instrumentation_bootstrap.py index 23d5ba172e..0732463fc3 100755 --- a/scripts/generate_instrumentation_bootstrap.py +++ b/scripts/generate_instrumentation_bootstrap.py @@ -72,6 +72,10 @@ # development. This filter will get removed once it is further along in its # development lifecycle and ready to be included by default. "opentelemetry-instrumentation-weaviate", + # OpenAI Agents instrumentation is currently excluded because it is still in early + # development. This filter will get removed once it is further along in its + # development lifecycle and ready to be included by default. + "opentelemetry-instrumentation-openai-agents", ] # Static version specifiers for instrumentations that are released independently From 804ad64af127f83dd72af0922ba86e628b18a564 Mon Sep 17 00:00:00 2001 From: Nagkumar Arkalgud Date: Tue, 7 Oct 2025 10:04:58 -0700 Subject: [PATCH 30/30] update pyproject to address comment --- .../opentelemetry-instrumentation-openai-agents/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml index bcde96663c..43bd4b3a5c 100644 --- a/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml +++ b/instrumentation-genai/opentelemetry-instrumentation-openai-agents/pyproject.toml @@ -24,7 +24,7 @@ classifiers = [ "Programming Language :: Python :: 3.13", ] dependencies = [ - "opentelemetry-api ~= 1.30", + "opentelemetry-api >= 1.37", "opentelemetry-instrumentation >= 0.58b0", "opentelemetry-semantic-conventions >= 0.58b0" ]