From 48ddf8cc50d244b6e32f1e013436a1b19d527176 Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Thu, 20 Nov 2025 09:54:15 +0100 Subject: [PATCH 01/51] ci: Update tox (#5122) ### Description Regenerating tox because we need to update the config for the langchain test suite in https://github.com/getsentry/sentry-python/pull/5120 and I don't want to pull in lots of unrelated changes on the feature branch. Dramatiq 2.0 has been released and our tests fail on it. Excluding it for now, we will follow up in https://github.com/getsentry/sentry-python/issues/5123. #### Issues #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- scripts/populate_tox/config.py | 2 + .../populate_tox/package_dependencies.jsonl | 20 +++-- scripts/populate_tox/releases.jsonl | 39 ++++---- tox.ini | 88 +++++++++---------- 4 files changed, 78 insertions(+), 71 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index edf09b4344..7e1438ac4b 100644 --- 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"bdist_wheel", "filename": "tornado-6.0.4-cp37-cp37m-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.0.4-cp38-cp38-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.0.4-cp38-cp38-win_amd64.whl"}, {"packagetype": "sdist", "filename": "tornado-6.0.4.tar.gz"}]} {"info": {"classifiers": ["License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy"], "name": "tornado", "requires_python": ">=3.9", "version": "6.5.2", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-musllinux_1_2_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-musllinux_1_2_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.2-cp39-abi3-win_arm64.whl"}, {"packagetype": "sdist", "filename": "tornado-6.5.2.tar.gz"}]} {"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: No Input/Output (Daemon)", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License (GPL)", "Natural Language :: English", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Spanish", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": null, "version": "1.2.10", "yanked": false}, "urls": [{"packagetype": "sdist", "filename": "trytond-1.2.10.tar.gz"}]} diff --git a/tox.ini b/tox.ini index 1cf0d1fef8..da0961eb8d 100644 --- a/tox.ini +++ b/tox.ini @@ -56,7 +56,7 @@ envlist = {py3.8,py3.11,py3.12}-anthropic-v0.16.0 {py3.8,py3.11,py3.12}-anthropic-v0.35.0 {py3.8,py3.11,py3.12}-anthropic-v0.54.0 - {py3.9,py3.12,py3.13}-anthropic-v0.73.0 + {py3.9,py3.12,py3.13}-anthropic-v0.74.1 {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 @@ -66,7 +66,7 @@ envlist = {py3.9,py3.12,py3.13}-google_genai-v1.29.0 {py3.9,py3.12,py3.13}-google_genai-v1.36.0 {py3.9,py3.12,py3.13}-google_genai-v1.43.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.50.1 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 @@ -74,11 +74,11 @@ envlist = {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.0.7 + {py3.10,py3.13,py3.14}-langchain-base-v1.0.8 {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.7 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.8 {py3.9,py3.13,py3.14}-langgraph-v0.6.11 {py3.10,py3.12,py3.13}-langgraph-v1.0.3 @@ -91,20 +91,20 @@ envlist = {py3.10,py3.12,py3.13}-mcp-v1.15.0 {py3.10,py3.12,py3.13}-mcp-v1.17.0 {py3.10,py3.12,py3.13}-mcp-v1.19.0 - {py3.10,py3.12,py3.13}-mcp-v1.21.1 + {py3.10,py3.12,py3.13}-mcp-v1.21.2 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.13.0 + {py3.10,py3.12,py3.13}-fastmcp-v2.13.1 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 - {py3.9,py3.12,py3.13}-openai-base-v2.8.0 + {py3.9,py3.12,py3.13}-openai-base-v2.8.1 {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1 {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 - {py3.9,py3.12,py3.13}-openai-notiktoken-v2.8.0 + {py3.9,py3.12,py3.13}-openai-notiktoken-v2.8.1 {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 @@ -112,16 +112,16 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.5.1 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.6.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.12.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.18.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.7.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.14.1 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.20.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 - {py3.6,py3.9,py3.10}-boto3-v1.20.54 - {py3.7,py3.11,py3.12}-boto3-v1.28.85 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.40.74 + {py3.6,py3.9,py3.10}-boto3-v1.21.46 + {py3.7,py3.11,py3.12}-boto3-v1.33.13 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.41.0 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -144,7 +144,7 @@ envlist = {py3.7,py3.10,py3.11}-redis-v4.6.0 {py3.8,py3.11,py3.12}-redis-v5.3.1 {py3.9,py3.12,py3.13}-redis-v6.4.0 - {py3.9,py3.12,py3.13}-redis-v7.0.1 + {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.0 {py3.6}-redis_py_cluster_legacy-v1.3.6 {py3.6,py3.7,py3.8}-redis_py_cluster_legacy-v2.1.3 @@ -156,7 +156,7 @@ envlist = # ~~~ Flags ~~~ {py3.8,py3.12,py3.13}-launchdarkly-v9.8.1 - {py3.9,py3.13,py3.14,py3.14t}-launchdarkly-v9.12.3 + {py3.9,py3.13,py3.14,py3.14t}-launchdarkly-v9.13.1 {py3.8,py3.13,py3.14,py3.14t}-openfeature-v0.7.5 {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.3 @@ -180,7 +180,7 @@ envlist = {py3.8,py3.12,py3.13}-graphene-v3.4.3 {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.285.0 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.286.0 # ~~~ Network ~~~ @@ -234,7 +234,7 @@ envlist = {py3.6,py3.9,py3.10}-django-v3.2.25 {py3.8,py3.11,py3.12}-django-v4.2.26 {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.8 - {py3.12,py3.13,py3.14,py3.14t}-django-v6.0b1 + {py3.12,py3.13,py3.14,py3.14t}-django-v6.0rc1 {py3.6,py3.7,py3.8}-flask-v1.1.4 {py3.8,py3.13,py3.14,py3.14t}-flask-v2.3.3 @@ -248,7 +248,7 @@ envlist = {py3.6,py3.9,py3.10}-fastapi-v0.79.1 {py3.7,py3.10,py3.11}-fastapi-v0.93.0 {py3.8,py3.10,py3.11}-fastapi-v0.107.0 - {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.2 + {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.3 # ~~~ Web 2 ~~~ @@ -374,7 +374,7 @@ deps = anthropic-v0.16.0: anthropic==0.16.0 anthropic-v0.35.0: anthropic==0.35.0 anthropic-v0.54.0: anthropic==0.54.0 - anthropic-v0.73.0: anthropic==0.73.0 + anthropic-v0.74.1: anthropic==0.74.1 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 anthropic-v0.35.0: httpx<0.28.0 @@ -387,7 +387,7 @@ deps = google_genai-v1.29.0: google-genai==1.29.0 google_genai-v1.36.0: google-genai==1.36.0 google_genai-v1.43.0: google-genai==1.43.0 - google_genai-v1.50.1: google-genai==1.50.1 + google_genai-v1.51.0: google-genai==1.51.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 @@ -398,22 +398,22 @@ deps = langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.0.7: langchain==1.0.7 + langchain-base-v1.0.8: langchain==1.0.8 langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.0.7: langchain-community - langchain-base-v1.0.7: langchain-classic + langchain-base-v1.0.8: langchain-community + langchain-base-v1.0.8: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.0.7: langchain==1.0.7 + langchain-notiktoken-v1.0.8: langchain==1.0.8 langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.0.7: langchain-community - langchain-notiktoken-v1.0.7: langchain-classic + langchain-notiktoken-v1.0.8: langchain-community + langchain-notiktoken-v1.0.8: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 langgraph-v1.0.3: langgraph==1.0.3 @@ -426,25 +426,25 @@ deps = mcp-v1.15.0: mcp==1.15.0 mcp-v1.17.0: mcp==1.17.0 mcp-v1.19.0: mcp==1.19.0 - mcp-v1.21.1: mcp==1.21.1 + mcp-v1.21.2: mcp==1.21.2 mcp: pytest-asyncio fastmcp-v0.1.0: fastmcp==0.1.0 fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.13.0: fastmcp==2.13.0 + fastmcp-v2.13.1: fastmcp==2.13.1 fastmcp: pytest-asyncio openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 - openai-base-v2.8.0: openai==2.8.0 + openai-base-v2.8.1: openai==2.8.1 openai-base: pytest-asyncio openai-base: tiktoken openai-base-v1.0.1: httpx<0.28 openai-notiktoken-v1.0.1: openai==1.0.1 openai-notiktoken-v1.109.1: openai==1.109.1 - openai-notiktoken-v2.8.0: openai==2.8.0 + openai-notiktoken-v2.8.1: openai==2.8.1 openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 @@ -455,17 +455,17 @@ deps = openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.6.0: pydantic-ai==1.6.0 - pydantic_ai-v1.12.0: pydantic-ai==1.12.0 - pydantic_ai-v1.18.0: pydantic-ai==1.18.0 + pydantic_ai-v1.7.0: pydantic-ai==1.7.0 + pydantic_ai-v1.14.1: pydantic-ai==1.14.1 + pydantic_ai-v1.20.0: pydantic-ai==1.20.0 pydantic_ai: pytest-asyncio # ~~~ Cloud ~~~ boto3-v1.12.49: boto3==1.12.49 - boto3-v1.20.54: boto3==1.20.54 - boto3-v1.28.85: boto3==1.28.85 - boto3-v1.40.74: boto3==1.40.74 + boto3-v1.21.46: boto3==1.21.46 + boto3-v1.33.13: boto3==1.33.13 + boto3-v1.41.0: boto3==1.41.0 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -492,7 +492,7 @@ deps = redis-v4.6.0: redis==4.6.0 redis-v5.3.1: redis==5.3.1 redis-v6.4.0: redis==6.4.0 - redis-v7.0.1: redis==7.0.1 + redis-v7.1.0: redis==7.1.0 redis: fakeredis!=1.7.4 redis: pytest<8.0.0 redis-v4.6.0: fakeredis<2.31.0 @@ -509,7 +509,7 @@ deps = # ~~~ Flags ~~~ launchdarkly-v9.8.1: launchdarkly-server-sdk==9.8.1 - launchdarkly-v9.12.3: launchdarkly-server-sdk==9.12.3 + launchdarkly-v9.13.1: launchdarkly-server-sdk==9.13.1 openfeature-v0.7.5: openfeature-sdk==0.7.5 openfeature-v0.8.3: openfeature-sdk==0.8.3 @@ -542,7 +542,7 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.285.0: strawberry-graphql[fastapi,flask]==0.285.0 + strawberry-v0.286.0: strawberry-graphql[fastapi,flask]==0.286.0 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -620,7 +620,7 @@ deps = django-v3.2.25: django==3.2.25 django-v4.2.26: django==4.2.26 django-v5.2.8: django==5.2.8 - django-v6.0b1: django==6.0b1 + django-v6.0rc1: django==6.0rc1 django: psycopg2-binary django: djangorestframework django: pytest-django @@ -629,12 +629,12 @@ deps = django-v3.2.25: channels[daphne] django-v4.2.26: channels[daphne] django-v5.2.8: channels[daphne] - django-v6.0b1: channels[daphne] + django-v6.0rc1: channels[daphne] django-v2.2.28: six django-v3.2.25: pytest-asyncio django-v4.2.26: pytest-asyncio django-v5.2.8: pytest-asyncio - django-v6.0b1: pytest-asyncio + django-v6.0rc1: pytest-asyncio django-v1.11.29: djangorestframework>=3.0,<4.0 django-v1.11.29: Werkzeug<2.1.0 django-v2.2.28: djangorestframework>=3.0,<4.0 @@ -670,7 +670,7 @@ deps = fastapi-v0.79.1: fastapi==0.79.1 fastapi-v0.93.0: fastapi==0.93.0 fastapi-v0.107.0: fastapi==0.107.0 - fastapi-v0.121.2: fastapi==0.121.2 + fastapi-v0.121.3: fastapi==0.121.3 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart From 145773bd2ce698e174fa75a3607f7390dfb958d7 Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Thu, 20 Nov 2025 11:11:43 +0100 Subject: [PATCH 02/51] fix(integrations): improve embeddings support for openai (#5121) ### Description Use "gen_ai.embeddings.input" instead of "gen_ai.request.messages" when doing embeddings. #### Issues Closes https://linear.app/getsentry/issue/TET-1462/fix-embedding-support-for-openai #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- sentry_sdk/consts.py | 6 ++++++ sentry_sdk/integrations/openai.py | 12 +++++++++--- tests/integrations/openai/test_openai.py | 8 ++++---- 3 files changed, 19 insertions(+), 7 deletions(-) diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 641d095ca6..a3d328274c 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -465,6 +465,12 @@ class SPANDATA: Example: "The weather in Paris is rainy and overcast, with temperatures around 57°F" """ + GEN_AI_EMBEDDINGS_INPUT = "gen_ai.embeddings.input" + """ + The input to the embeddings operation. + Example: "Hello!" + """ + GEN_AI_OPERATION_NAME = "gen_ai.operation.name" """ The name of the operation being performed. diff --git a/sentry_sdk/integrations/openai.py b/sentry_sdk/integrations/openai.py index 549b3504a6..40064e5c72 100644 --- a/sentry_sdk/integrations/openai.py +++ b/sentry_sdk/integrations/openai.py @@ -195,9 +195,15 @@ def _set_input_data(span, kwargs, operation, integration): scope = sentry_sdk.get_current_scope() messages_data = truncate_and_annotate_messages(normalized_messages, span, scope) if messages_data is not None: - set_data_normalized( - span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False - ) + # Use appropriate field based on operation type + if operation == "embeddings": + set_data_normalized( + span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, messages_data, unpack=False + ) + else: + set_data_normalized( + span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False + ) # Input attributes: Common set_data_normalized(span, SPANDATA.GEN_AI_SYSTEM, "openai") diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py index ccef4f336e..febec5a80d 100644 --- a/tests/integrations/openai/test_openai.py +++ b/tests/integrations/openai/test_openai.py @@ -501,9 +501,9 @@ def test_embeddings_create( span = tx["spans"][0] assert span["op"] == "gen_ai.embeddings" if send_default_pii and include_prompts: - assert "hello" in span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] + assert "hello" in span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] else: - assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"] assert span["data"]["gen_ai.usage.input_tokens"] == 20 assert span["data"]["gen_ai.usage.total_tokens"] == 30 @@ -549,9 +549,9 @@ async def test_embeddings_create_async( span = tx["spans"][0] assert span["op"] == "gen_ai.embeddings" if send_default_pii and include_prompts: - assert "hello" in span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] + assert "hello" in span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] else: - assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"] assert span["data"]["gen_ai.usage.input_tokens"] == 20 assert span["data"]["gen_ai.usage.total_tokens"] == 30 From 7d91ce728e314e06fbad8a3e527583e5bc79ee5a Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Thu, 20 Nov 2025 14:17:08 +0100 Subject: [PATCH 03/51] feat: add instrumentation to embedding functions for various backends (#5120) ### Description Wrap the backends OpenAIEmbeddings, AzureOpenAIEmbeddings, VertexAIEmbeddings, BedrockEmbeddings, CohereEmbeddings, MistralAIEmbeddings, HuggingFaceEmbeddings, OllamaEmbeddings and their embed_documents, embed_query, aembed_documents, aembed_query methods to properly instrument embeddings #### Issues Closes https://linear.app/getsentry/issue/TET-1460/add-embedding-support-for-langchain #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- scripts/populate_tox/config.py | 4 +- sentry_sdk/integrations/langchain.py | 154 +++++ .../integrations/langchain/test_langchain.py | 650 ++++++++++++++++++ tox.ini | 2 + 4 files changed, 808 insertions(+), 2 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index 7e1438ac4b..6770c0b1cb 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -201,7 +201,7 @@ "package": "langchain", "integration_name": "langchain", "deps": { - "*": ["openai", "tiktoken", "langchain-openai"], + "*": ["pytest-asyncio", "openai", "tiktoken", "langchain-openai"], "<=0.1": ["httpx<0.28.0"], ">=0.3": ["langchain-community"], ">=1.0": ["langchain-classic"], @@ -214,7 +214,7 @@ "package": "langchain", "integration_name": "langchain", "deps": { - "*": ["openai", "langchain-openai"], + "*": ["pytest-asyncio", "openai", "langchain-openai"], "<=0.1": ["httpx<0.28.0"], ">=0.3": ["langchain-community"], ">=1.0": ["langchain-classic"], diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py index 8cb98bde0b..1d3646f1c3 100644 --- a/sentry_sdk/integrations/langchain.py +++ b/sentry_sdk/integrations/langchain.py @@ -63,6 +63,48 @@ AgentExecutor = None +# Conditional imports for embeddings providers +try: + from langchain_openai import OpenAIEmbeddings # type: ignore[import-not-found] +except ImportError: + OpenAIEmbeddings = None + +try: + from langchain_openai import AzureOpenAIEmbeddings +except ImportError: + AzureOpenAIEmbeddings = None + +try: + from langchain_google_vertexai import VertexAIEmbeddings # type: ignore[import-not-found] +except ImportError: + VertexAIEmbeddings = None + +try: + from langchain_aws import BedrockEmbeddings # type: ignore[import-not-found] +except ImportError: + BedrockEmbeddings = None + +try: + from langchain_cohere import CohereEmbeddings # type: ignore[import-not-found] +except ImportError: + CohereEmbeddings = None + +try: + from langchain_mistralai import MistralAIEmbeddings # type: ignore[import-not-found] +except ImportError: + MistralAIEmbeddings = None + +try: + from langchain_huggingface import HuggingFaceEmbeddings # type: ignore[import-not-found] +except ImportError: + HuggingFaceEmbeddings = None + +try: + from langchain_ollama import OllamaEmbeddings # type: ignore[import-not-found] +except ImportError: + OllamaEmbeddings = None + + DATA_FIELDS = { "frequency_penalty": SPANDATA.GEN_AI_REQUEST_FREQUENCY_PENALTY, "function_call": SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS, @@ -140,6 +182,16 @@ def setup_once(): AgentExecutor.invoke = _wrap_agent_executor_invoke(AgentExecutor.invoke) AgentExecutor.stream = _wrap_agent_executor_stream(AgentExecutor.stream) + # Patch embeddings providers + _patch_embeddings_provider(OpenAIEmbeddings) + _patch_embeddings_provider(AzureOpenAIEmbeddings) + _patch_embeddings_provider(VertexAIEmbeddings) + _patch_embeddings_provider(BedrockEmbeddings) + _patch_embeddings_provider(CohereEmbeddings) + _patch_embeddings_provider(MistralAIEmbeddings) + _patch_embeddings_provider(HuggingFaceEmbeddings) + _patch_embeddings_provider(OllamaEmbeddings) + class WatchedSpan: span = None # type: Span @@ -976,3 +1028,105 @@ async def new_iterator_async(): return result return new_stream + + +def _patch_embeddings_provider(provider_class): + # type: (Any) -> None + """Patch an embeddings provider class with monitoring wrappers.""" + if provider_class is None: + return + + if hasattr(provider_class, "embed_documents"): + provider_class.embed_documents = _wrap_embedding_method( + provider_class.embed_documents + ) + if hasattr(provider_class, "embed_query"): + provider_class.embed_query = _wrap_embedding_method(provider_class.embed_query) + if hasattr(provider_class, "aembed_documents"): + provider_class.aembed_documents = _wrap_async_embedding_method( + provider_class.aembed_documents + ) + if hasattr(provider_class, "aembed_query"): + provider_class.aembed_query = _wrap_async_embedding_method( + provider_class.aembed_query + ) + + +def _wrap_embedding_method(f): + # type: (Callable[..., Any]) -> Callable[..., Any] + """Wrap sync embedding methods (embed_documents and embed_query).""" + + @wraps(f) + def new_embedding_method(self, *args, **kwargs): + # type: (Any, Any, Any) -> Any + integration = sentry_sdk.get_client().get_integration(LangchainIntegration) + if integration is None: + return f(self, *args, **kwargs) + + model_name = getattr(self, "model", None) or getattr(self, "model_name", None) + with sentry_sdk.start_span( + op=OP.GEN_AI_EMBEDDINGS, + name=f"embeddings {model_name}" if model_name else "embeddings", + origin=LangchainIntegration.origin, + ) as span: + span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings") + if model_name: + span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name) + + # Capture input if PII is allowed + if ( + should_send_default_pii() + and integration.include_prompts + and len(args) > 0 + ): + input_data = args[0] + # Normalize to list format + texts = input_data if isinstance(input_data, list) else [input_data] + set_data_normalized( + span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, texts, unpack=False + ) + + result = f(self, *args, **kwargs) + return result + + return new_embedding_method + + +def _wrap_async_embedding_method(f): + # type: (Callable[..., Any]) -> Callable[..., Any] + """Wrap async embedding methods (aembed_documents and aembed_query).""" + + @wraps(f) + async def new_async_embedding_method(self, *args, **kwargs): + # type: (Any, Any, Any) -> Any + integration = sentry_sdk.get_client().get_integration(LangchainIntegration) + if integration is None: + return await f(self, *args, **kwargs) + + model_name = getattr(self, "model", None) or getattr(self, "model_name", None) + with sentry_sdk.start_span( + op=OP.GEN_AI_EMBEDDINGS, + name=f"embeddings {model_name}" if model_name else "embeddings", + origin=LangchainIntegration.origin, + ) as span: + span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings") + if model_name: + span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name) + + # Capture input if PII is allowed + if ( + should_send_default_pii() + and integration.include_prompts + and len(args) > 0 + ): + input_data = args[0] + # Normalize to list format + texts = input_data if isinstance(input_data, list) else [input_data] + set_data_normalized( + span, SPANDATA.GEN_AI_EMBEDDINGS_INPUT, texts, unpack=False + ) + + result = await f(self, *args, **kwargs) + return result + + return new_async_embedding_method diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index c3625a4157..59e9d719e4 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -20,6 +20,7 @@ from langchain_core.runnables import RunnableConfig from langchain_core.language_models.chat_models import BaseChatModel +import sentry_sdk from sentry_sdk import start_transaction from sentry_sdk.integrations.langchain import ( LangchainIntegration, @@ -1035,3 +1036,652 @@ def test_langchain_message_truncation(sentry_init, capture_events): assert "small message 4" in str(parsed_messages[0]) assert "small message 5" in str(parsed_messages[1]) assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +def test_langchain_embeddings_sync( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that sync embedding methods (embed_documents, embed_query) are properly traced.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + # Mock the actual API call + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ) as mock_embed_documents: + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run to ensure our mock is wrapped + LangchainIntegration.setup_once() + + with start_transaction(name="test_embeddings"): + # Test embed_documents + result = embeddings.embed_documents(["Hello world", "Test document"]) + + assert len(result) == 2 + mock_embed_documents.assert_called_once() + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings span + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 1 + + embeddings_span = embeddings_spans[0] + assert embeddings_span["description"] == "embeddings text-embedding-ada-002" + assert embeddings_span["origin"] == "auto.ai.langchain" + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + + # Check if input is captured based on PII settings + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"] + input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + # Could be serialized as string + if isinstance(input_data, str): + assert "Hello world" in input_data + assert "Test document" in input_data + else: + assert "Hello world" in input_data + assert "Test document" in input_data + else: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {}) + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (False, False), + ], +) +def test_langchain_embeddings_embed_query( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that embed_query method is properly traced.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + # Mock the actual API call + with mock.patch.object( + OpenAIEmbeddings, + "embed_query", + wraps=lambda self, text: [0.1, 0.2, 0.3], + ) as mock_embed_query: + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run to ensure our mock is wrapped + LangchainIntegration.setup_once() + + with start_transaction(name="test_embeddings_query"): + result = embeddings.embed_query("What is the capital of France?") + + assert len(result) == 3 + mock_embed_query.assert_called_once() + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings span + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 1 + + embeddings_span = embeddings_spans[0] + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + + # Check if input is captured based on PII settings + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"] + input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + # Could be serialized as string + if isinstance(input_data, str): + assert "What is the capital of France?" in input_data + else: + assert "What is the capital of France?" in input_data + else: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {}) + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (False, False), + ], +) +@pytest.mark.asyncio +async def test_langchain_embeddings_async( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that async embedding methods (aembed_documents, aembed_query) are properly traced.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + async def mock_aembed_documents(self, texts): + return [[0.1, 0.2, 0.3] for _ in texts] + + # Mock the actual API call + with mock.patch.object( + OpenAIEmbeddings, + "aembed_documents", + wraps=mock_aembed_documents, + ) as mock_aembed: + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run to ensure our mock is wrapped + LangchainIntegration.setup_once() + + with start_transaction(name="test_async_embeddings"): + result = await embeddings.aembed_documents( + ["Async hello", "Async test document"] + ) + + assert len(result) == 2 + mock_aembed.assert_called_once() + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings span + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 1 + + embeddings_span = embeddings_spans[0] + assert embeddings_span["description"] == "embeddings text-embedding-ada-002" + assert embeddings_span["origin"] == "auto.ai.langchain" + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + + # Check if input is captured based on PII settings + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"] + input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + # Could be serialized as string + if isinstance(input_data, str): + assert "Async hello" in input_data or "Async test document" in input_data + else: + assert "Async hello" in input_data or "Async test document" in input_data + else: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embeddings_span.get("data", {}) + + +@pytest.mark.asyncio +async def test_langchain_embeddings_aembed_query(sentry_init, capture_events): + """Test that aembed_query method is properly traced.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + async def mock_aembed_query(self, text): + return [0.1, 0.2, 0.3] + + # Mock the actual API call + with mock.patch.object( + OpenAIEmbeddings, + "aembed_query", + wraps=mock_aembed_query, + ) as mock_aembed: + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run to ensure our mock is wrapped + LangchainIntegration.setup_once() + + with start_transaction(name="test_async_embeddings_query"): + result = await embeddings.aembed_query("Async query test") + + assert len(result) == 3 + mock_aembed.assert_called_once() + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings span + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 1 + + embeddings_span = embeddings_spans[0] + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + assert embeddings_span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + + # Check if input is captured + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in embeddings_span["data"] + input_data = embeddings_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + # Could be serialized as string + if isinstance(input_data, str): + assert "Async query test" in input_data + else: + assert "Async query test" in input_data + + +def test_langchain_embeddings_no_model_name(sentry_init, capture_events): + """Test embeddings when model name is not available.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=False)], + traces_sample_rate=1.0, + ) + events = capture_events() + + # Mock the actual API call and remove model attribute + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ): + embeddings = OpenAIEmbeddings(openai_api_key="test-key") + # Remove model attribute to test fallback + delattr(embeddings, "model") + if hasattr(embeddings, "model_name"): + delattr(embeddings, "model_name") + + # Force setup to re-run to ensure our mock is wrapped + LangchainIntegration.setup_once() + + with start_transaction(name="test_embeddings_no_model"): + embeddings.embed_documents(["Test"]) + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings span + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 1 + + embeddings_span = embeddings_spans[0] + assert embeddings_span["description"] == "embeddings" + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + # Model name should not be set if not available + assert ( + "gen_ai.request.model" not in embeddings_span["data"] + or embeddings_span["data"]["gen_ai.request.model"] is None + ) + + +def test_langchain_embeddings_integration_disabled(sentry_init, capture_events): + """Test that embeddings are not traced when integration is disabled.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + # Initialize without LangchainIntegration + sentry_init(traces_sample_rate=1.0) + events = capture_events() + + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + return_value=[[0.1, 0.2, 0.3]], + ): + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + with start_transaction(name="test_embeddings_disabled"): + embeddings.embed_documents(["Test"]) + + # Check that no embeddings spans were created + if events: + tx = events[0] + embeddings_spans = [ + span + for span in tx.get("spans", []) + if span.get("op") == "gen_ai.embeddings" + ] + # Should be empty since integration is disabled + assert len(embeddings_spans) == 0 + + +def test_langchain_embeddings_multiple_providers(sentry_init, capture_events): + """Test that embeddings work with different providers.""" + try: + from langchain_openai import OpenAIEmbeddings, AzureOpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock both providers + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ), mock.patch.object( + AzureOpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.4, 0.5, 0.6] for _ in texts], + ): + openai_embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + azure_embeddings = AzureOpenAIEmbeddings( + model="text-embedding-ada-002", + azure_endpoint="https://test.openai.azure.com/", + openai_api_key="test-key", + ) + + # Force setup to re-run + LangchainIntegration.setup_once() + + with start_transaction(name="test_multiple_providers"): + openai_embeddings.embed_documents(["OpenAI test"]) + azure_embeddings.embed_documents(["Azure test"]) + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings spans + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + # Should have 2 spans, one for each provider + assert len(embeddings_spans) == 2 + + # Verify both spans have proper data + for span in embeddings_spans: + assert span["data"]["gen_ai.operation.name"] == "embeddings" + assert span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"] + + +def test_langchain_embeddings_error_handling(sentry_init, capture_events): + """Test that errors in embeddings are properly captured.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock the API call to raise an error + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + side_effect=ValueError("API error"), + ): + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run + LangchainIntegration.setup_once() + + with start_transaction(name="test_embeddings_error"): + with pytest.raises(ValueError): + embeddings.embed_documents(["Test"]) + + # The error should be captured + assert len(events) >= 1 + # We should have both the transaction and potentially an error event + [e for e in events if e.get("level") == "error"] + # Note: errors might not be auto-captured depending on SDK settings, + # but the span should still be created + + +def test_langchain_embeddings_multiple_calls(sentry_init, capture_events): + """Test that multiple embeddings calls within a transaction are all traced.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock the actual API calls + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ), mock.patch.object( + OpenAIEmbeddings, + "embed_query", + wraps=lambda self, text: [0.4, 0.5, 0.6], + ): + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run + LangchainIntegration.setup_once() + + with start_transaction(name="test_multiple_embeddings"): + # Call embed_documents + embeddings.embed_documents(["First batch", "Second batch"]) + # Call embed_query + embeddings.embed_query("Single query") + # Call embed_documents again + embeddings.embed_documents(["Third batch"]) + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings spans - should have 3 (2 embed_documents + 1 embed_query) + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 3 + + # Verify all spans have proper data + for span in embeddings_spans: + assert span["data"]["gen_ai.operation.name"] == "embeddings" + assert span["data"]["gen_ai.request.model"] == "text-embedding-ada-002" + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"] + + # Verify the input data is different for each span + input_data_list = [ + span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] for span in embeddings_spans + ] + # They should all be different (different inputs) + assert len(set(str(data) for data in input_data_list)) == 3 + + +def test_langchain_embeddings_span_hierarchy(sentry_init, capture_events): + """Test that embeddings spans are properly nested within parent spans.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock the actual API call + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ): + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run + LangchainIntegration.setup_once() + + with start_transaction(name="test_span_hierarchy"): + with sentry_sdk.start_span(op="custom", name="custom operation"): + embeddings.embed_documents(["Test within custom span"]) + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find all spans + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + custom_spans = [span for span in tx.get("spans", []) if span.get("op") == "custom"] + + assert len(embeddings_spans) == 1 + assert len(custom_spans) == 1 + + # Both spans should exist + embeddings_span = embeddings_spans[0] + custom_span = custom_spans[0] + + assert embeddings_span["data"]["gen_ai.operation.name"] == "embeddings" + assert custom_span["description"] == "custom operation" + + +def test_langchain_embeddings_with_list_and_string_inputs(sentry_init, capture_events): + """Test that embeddings correctly handle both list and string inputs.""" + try: + from langchain_openai import OpenAIEmbeddings + except ImportError: + pytest.skip("langchain_openai not installed") + + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock the actual API calls + with mock.patch.object( + OpenAIEmbeddings, + "embed_documents", + wraps=lambda self, texts: [[0.1, 0.2, 0.3] for _ in texts], + ), mock.patch.object( + OpenAIEmbeddings, + "embed_query", + wraps=lambda self, text: [0.4, 0.5, 0.6], + ): + embeddings = OpenAIEmbeddings( + model="text-embedding-ada-002", openai_api_key="test-key" + ) + + # Force setup to re-run + LangchainIntegration.setup_once() + + with start_transaction(name="test_input_types"): + # embed_documents takes a list + embeddings.embed_documents(["List item 1", "List item 2", "List item 3"]) + # embed_query takes a string + embeddings.embed_query("Single string query") + + # Check captured events + assert len(events) >= 1 + tx = events[0] + assert tx["type"] == "transaction" + + # Find embeddings spans + embeddings_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.embeddings" + ] + assert len(embeddings_spans) == 2 + + # Both should have input data captured as lists + for span in embeddings_spans: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT in span["data"] + input_data = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + # Input should be normalized to list format + if isinstance(input_data, str): + # If serialized, should contain the input text + assert "List item" in input_data or "Single string query" in input_data, ( + f"Expected input text in serialized data: {input_data}" + ) diff --git a/tox.ini b/tox.ini index da0961eb8d..d9077773f5 100644 --- a/tox.ini +++ b/tox.ini @@ -399,6 +399,7 @@ deps = langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 langchain-base-v1.0.8: langchain==1.0.8 + langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai @@ -409,6 +410,7 @@ deps = langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 langchain-notiktoken-v1.0.8: langchain==1.0.8 + langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community From c63e8d8a18cb39de321d6aea8b3fe1aaeee96f2e Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Thu, 20 Nov 2025 14:51:08 +0100 Subject: [PATCH 04/51] test(dramatiq): Expect exceptions when re-raised (#5125) Parametrize `dramatiq` tests on the `fail_fast` parameter of `StubBroker.join`. The default value is flipped to `True` in version 2.0.0 of `dramatiq`. See https://dramatiq.io/changelog.html. Closes https://github.com/getsentry/sentry-python/issues/5123 --- scripts/populate_tox/config.py | 1 - .../populate_tox/package_dependencies.jsonl | 1 + scripts/populate_tox/releases.jsonl | 2 +- tests/integrations/dramatiq/test_dramatiq.py | 156 +++++++++++++++--- tox.ini | 4 +- 5 files changed, 137 insertions(+), 27 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index 6770c0b1cb..2c5d343034 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -109,7 +109,6 @@ "dramatiq": { "package": "dramatiq", "num_versions": 2, - "include": "!=2.0.0", }, "falcon": { "package": "falcon", diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 9816996102..6eea84e16b 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ b/scripts/populate_tox/package_dependencies.jsonl @@ -1,6 +1,7 @@ {"name": "boto3", "version": "1.41.0", "dependencies": [{"download_info": 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capture_events() @dramatiq.actor(max_retries=0) @@ -45,7 +52,11 @@ def dummy_actor(x, y): dummy_actor.send(1, 2) dummy_actor.send(1, 0) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() (event,) = events @@ -54,15 +65,19 @@ def dummy_actor(x, y): @pytest.mark.parametrize( - "broker,expected_span_status", + "broker,expected_span_status,fail_fast", [ - (1.0, SPANSTATUS.INTERNAL_ERROR), - (1.0, SPANSTATUS.OK), + (1.0, SPANSTATUS.INTERNAL_ERROR, False), + (1.0, SPANSTATUS.OK, False), + (1.0, SPANSTATUS.INTERNAL_ERROR, True), + (1.0, SPANSTATUS.OK, True), ], - ids=["error", "success"], + ids=["error", "success", "error_fail_fast", "success_fail_fast"], indirect=["broker"], ) -def test_task_transaction(broker, worker, capture_events, expected_span_status): +def test_task_transaction( + broker, worker, capture_events, expected_span_status, fail_fast +): events = capture_events() task_fails = expected_span_status == SPANSTATUS.INTERNAL_ERROR @@ -71,7 +86,13 @@ def dummy_actor(x, y): return x / y dummy_actor.send(1, int(not task_fails)) - broker.join(dummy_actor.queue_name) + + if expected_span_status == SPANSTATUS.INTERNAL_ERROR and fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + worker.join() if task_fails: @@ -106,7 +127,16 @@ def propagated_trace_task(): assert events[0]["contexts"]["trace"]["trace_id"] == outer_transaction.trace_id -def test_that_dramatiq_message_id_is_set_as_extra(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_dramatiq_message_id_is_set_as_extra( + broker, worker, capture_events, fail_fast +): events = capture_events() @dramatiq.actor(max_retries=0) @@ -115,7 +145,11 @@ def dummy_actor(x, y): return x / y dummy_actor.send(1, 0) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() event_message, event_error = events @@ -129,7 +163,14 @@ def dummy_actor(x, y): assert all(uuid.UUID(msg_id) and isinstance(msg_id, str) for msg_id in msg_ids) -def test_that_local_variables_are_captured(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_local_variables_are_captured(broker, worker, capture_events, fail_fast): events = capture_events() @dramatiq.actor(max_retries=0) @@ -139,7 +180,11 @@ def dummy_actor(x, y): dummy_actor.send(1, 2) dummy_actor.send(1, 0) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() (event,) = events @@ -168,7 +213,14 @@ def dummy_actor(): assert event["transaction"] == "dummy_actor" -def test_that_sub_actor_errors_are_captured(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_sub_actor_errors_are_captured(broker, worker, capture_events, fail_fast): events = capture_events() @dramatiq.actor(max_retries=0) @@ -181,7 +233,11 @@ def sub_actor(x, y): dummy_actor.send(1, 2) dummy_actor.send(1, 0) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() (event,) = events @@ -191,7 +247,14 @@ def sub_actor(x, y): assert exception["type"] == "ZeroDivisionError" -def test_that_multiple_errors_are_captured(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_multiple_errors_are_captured(broker, worker, capture_events, fail_fast): events = capture_events() @dramatiq.actor(max_retries=0) @@ -199,11 +262,19 @@ def dummy_actor(x, y): return x / y dummy_actor.send(1, 0) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() dummy_actor.send(1, None) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() event1, event2 = events @@ -217,7 +288,16 @@ def dummy_actor(x, y): assert exception["type"] == "TypeError" -def test_that_message_data_is_added_as_request(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_message_data_is_added_as_request( + broker, worker, capture_events, fail_fast +): events = capture_events() @dramatiq.actor(max_retries=0) @@ -231,7 +311,11 @@ def dummy_actor(x, y): ), max_retries=0, ) - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ZeroDivisionError): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() (event,) = events @@ -247,7 +331,16 @@ def dummy_actor(x, y): assert isinstance(request_data["message_timestamp"], int) -def test_that_expected_exceptions_are_not_captured(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_expected_exceptions_are_not_captured( + broker, worker, capture_events, fail_fast +): events = capture_events() class ExpectedException(Exception): @@ -258,13 +351,26 @@ def dummy_actor(): raise ExpectedException dummy_actor.send() - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(ExpectedException): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() assert events == [] -def test_that_retry_exceptions_are_not_captured(broker, worker, capture_events): +@pytest.mark.parametrize( + "fail_fast", + [ + False, + True, + ], +) +def test_that_retry_exceptions_are_not_captured( + broker, worker, capture_events, fail_fast +): events = capture_events() @dramatiq.actor(max_retries=2) @@ -272,7 +378,11 @@ def dummy_actor(): raise dramatiq.errors.Retry("Retrying", delay=100) dummy_actor.send() - broker.join(dummy_actor.queue_name) + if fail_fast: + with pytest.raises(dramatiq.errors.Retry): + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) + else: + broker.join(dummy_actor.queue_name, fail_fast=fail_fast) worker.join() assert events == [] diff --git a/tox.ini b/tox.ini index d9077773f5..30ac3ae676 100644 --- a/tox.ini +++ b/tox.ini @@ -210,7 +210,7 @@ envlist = {py3.9,py3.12,py3.13}-celery-v5.6.0rc1 {py3.6,py3.7}-dramatiq-v1.9.0 - {py3.9,py3.12,py3.13}-dramatiq-v1.18.0 + {py3.10,py3.13,py3.14,py3.14t}-dramatiq-v2.0.0 {py3.6,py3.7}-huey-v2.1.3 {py3.6,py3.11,py3.12}-huey-v2.5.4 @@ -593,7 +593,7 @@ deps = {py3.7}-celery: importlib-metadata<5.0 dramatiq-v1.9.0: dramatiq==1.9.0 - dramatiq-v1.18.0: dramatiq==1.18.0 + dramatiq-v2.0.0: dramatiq==2.0.0 huey-v2.1.3: huey==2.1.3 huey-v2.5.4: huey==2.5.4 From 0e6e80888296e2c907b399b375639ec7f662a2f6 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Thu, 20 Nov 2025 15:16:11 +0100 Subject: [PATCH 05/51] test(openai-agents): Remove `MagicMock` from mocked `ModelResponse` (#5126) Remove the `function` property from tool calls in mocked model responses. `openai-agents` commit `a776d80` broke our test suite because instances of `ResponseFunctionToolCall` are now serialized inside `openai-agents`. As we attach a non-serializable `MagicMock` as the `function` attribute to the instances, our test suite faced an unhandled exception starting with `openai-agents` version 0.6.0. The model `ResponseFunctionToolCall` does not declare a function field. Closes https://github.com/getsentry/sentry-python/issues/5124 --- scripts/populate_tox/config.py | 1 - .../populate_tox/package_dependencies.jsonl | 2 +- scripts/populate_tox/releases.jsonl | 2 +- .../openai_agents/test_openai_agents.py | 23 ++----------------- tox.ini | 4 ++-- 5 files changed, 6 insertions(+), 26 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index 2c5d343034..b8b497b01b 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -285,7 +285,6 @@ "*": ["pytest-asyncio"], }, "python": ">=3.10", - "include": "!=0.6.0,!=0.6.1", }, "openfeature": { "package": "openfeature-sdk", diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 6eea84e16b..da29caea2a 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ b/scripts/populate_tox/package_dependencies.jsonl @@ -13,7 +13,7 @@ {"name": "langchain", "version": "1.0.8", "dependencies": 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], usage=mock_usage, @@ -377,9 +374,6 @@ def simple_test_tool(message: str) -> str: name="simple_test_tool", type="function_call", arguments='{"message": "hello"}', - function=MagicMock( - name="simple_test_tool", arguments='{"message": "hello"}' - ), ) # First response with tool call @@ -507,11 +501,7 @@ def simple_test_tool(message: str) -> str: assert ai_client_span1["data"]["gen_ai.usage.output_tokens"] == 5 assert ai_client_span1["data"]["gen_ai.usage.output_tokens.reasoning"] == 0 assert ai_client_span1["data"]["gen_ai.usage.total_tokens"] == 15 - assert re.sub( - r"SerializationIterator\(.*\)", - "NOT_CHECKED", - ai_client_span1["data"]["gen_ai.response.tool_calls"], - ) == safe_serialize( + assert ai_client_span1["data"]["gen_ai.response.tool_calls"] == safe_serialize( [ { "arguments": '{"message": "hello"}', @@ -520,7 +510,6 @@ def simple_test_tool(message: str) -> str: "type": "function_call", "id": "call_123", "status": None, - "function": "NOT_CHECKED", } ] ) @@ -559,11 +548,7 @@ def simple_test_tool(message: str) -> str: == available_tools ) assert ai_client_span2["data"]["gen_ai.request.max_tokens"] == 100 - assert re.sub( - r"SerializationIterator\(.*\)", - "NOT_CHECKED", - ai_client_span2["data"]["gen_ai.request.messages"], - ) == safe_serialize( + assert ai_client_span2["data"]["gen_ai.request.messages"] == safe_serialize( [ { "role": "system", @@ -586,7 +571,6 @@ def simple_test_tool(message: str) -> str: "name": "simple_test_tool", "type": "function_call", "id": "call_123", - "function": "NOT_CHECKED", } ], }, @@ -1165,9 +1149,6 @@ def failing_tool(message: str) -> str: name="failing_tool", type="function_call", arguments='{"message": "test"}', - function=MagicMock( - name="failing_tool", arguments='{"message": "test"}' - ), ) # First response with tool call diff --git a/tox.ini b/tox.ini index 30ac3ae676..12ca0bde63 100644 --- a/tox.ini +++ b/tox.ini @@ -109,7 +109,7 @@ envlist = {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 - {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.5.1 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.1 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 {py3.10,py3.12,py3.13}-pydantic_ai-v1.7.0 @@ -453,7 +453,7 @@ deps = openai_agents-v0.0.19: openai-agents==0.0.19 openai_agents-v0.2.11: openai-agents==0.2.11 openai_agents-v0.4.2: openai-agents==0.4.2 - openai_agents-v0.5.1: openai-agents==0.5.1 + openai_agents-v0.6.1: openai-agents==0.6.1 openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 From 8596f894907c488925eb3e1b9eb07c3219eef65c Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Fri, 21 Nov 2025 11:51:35 +0100 Subject: [PATCH 06/51] fix(integrations): enhance input handling for embeddings in LiteLLM integration (#5127) #### Issues Closes https://linear.app/getsentry/issue/TET-1461/fix-embedding-support-for-litellm --- sentry_sdk/integrations/litellm.py | 43 ++++- tests/integrations/litellm/test_litellm.py | 198 ++++++++++++++++++--- 2 files changed, 207 insertions(+), 34 deletions(-) diff --git a/sentry_sdk/integrations/litellm.py b/sentry_sdk/integrations/litellm.py index 43661e2432..35fb1b1048 100644 --- a/sentry_sdk/integrations/litellm.py +++ b/sentry_sdk/integrations/litellm.py @@ -77,15 +77,40 @@ def _input_callback(kwargs): set_data_normalized(span, SPANDATA.GEN_AI_SYSTEM, provider) set_data_normalized(span, SPANDATA.GEN_AI_OPERATION_NAME, operation) - # Record messages if allowed - messages = kwargs.get("messages", []) - if messages and should_send_default_pii() and integration.include_prompts: - scope = sentry_sdk.get_current_scope() - messages_data = truncate_and_annotate_messages(messages, span, scope) - if messages_data is not None: - set_data_normalized( - span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages_data, unpack=False - ) + # Record input/messages if allowed + if should_send_default_pii() and integration.include_prompts: + if operation == "embeddings": + # For embeddings, look for the 'input' parameter + embedding_input = kwargs.get("input") + if embedding_input: + scope = sentry_sdk.get_current_scope() + # Normalize to list format + input_list = ( + embedding_input + if isinstance(embedding_input, list) + else [embedding_input] + ) + messages_data = truncate_and_annotate_messages(input_list, span, scope) + if messages_data is not None: + set_data_normalized( + span, + SPANDATA.GEN_AI_EMBEDDINGS_INPUT, + messages_data, + unpack=False, + ) + else: + # For chat, look for the 'messages' parameter + messages = kwargs.get("messages", []) + if messages: + scope = sentry_sdk.get_current_scope() + messages_data = truncate_and_annotate_messages(messages, span, scope) + if messages_data is not None: + set_data_normalized( + span, + SPANDATA.GEN_AI_REQUEST_MESSAGES, + messages_data, + unpack=False, + ) # Record other parameters params = { diff --git a/tests/integrations/litellm/test_litellm.py b/tests/integrations/litellm/test_litellm.py index 8e1ad21254..1b925fb61f 100644 --- a/tests/integrations/litellm/test_litellm.py +++ b/tests/integrations/litellm/test_litellm.py @@ -1,5 +1,6 @@ import json import pytest +import time from unittest import mock from datetime import datetime @@ -17,6 +18,7 @@ async def __call__(self, *args, **kwargs): except ImportError: pytest.skip("litellm not installed", allow_module_level=True) +import sentry_sdk from sentry_sdk import start_transaction from sentry_sdk.consts import OP, SPANDATA from sentry_sdk.integrations.litellm import ( @@ -31,6 +33,36 @@ async def __call__(self, *args, **kwargs): LITELLM_VERSION = package_version("litellm") +@pytest.fixture +def clear_litellm_cache(): + """ + Clear litellm's client cache and reset integration state to ensure test isolation. + + The LiteLLM integration uses setup_once() which only runs once per Python process. + This fixture ensures the integration is properly re-initialized for each test. + """ + + # Stop all existing mocks + mock.patch.stopall() + + # Clear client cache + if ( + hasattr(litellm, "in_memory_llm_clients_cache") + and litellm.in_memory_llm_clients_cache + ): + litellm.in_memory_llm_clients_cache.flush_cache() + + yield + + # Clean up after test as well + mock.patch.stopall() + if ( + hasattr(litellm, "in_memory_llm_clients_cache") + and litellm.in_memory_llm_clients_cache + ): + litellm.in_memory_llm_clients_cache.flush_cache() + + # Mock response objects class MockMessage: def __init__(self, role="assistant", content="Test response"): @@ -87,6 +119,21 @@ def __init__(self, model="text-embedding-ada-002", data=None, usage=None): ) self.object = "list" + def model_dump(self): + return { + "model": self.model, + "data": [ + {"embedding": d.embedding, "index": d.index, "object": d.object} + for d in self.data + ], + "usage": { + "prompt_tokens": self.usage.prompt_tokens, + "completion_tokens": self.usage.completion_tokens, + "total_tokens": self.usage.total_tokens, + }, + "object": self.object, + } + @pytest.mark.parametrize( "send_default_pii, include_prompts", @@ -201,7 +248,13 @@ def test_streaming_chat_completion( assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True -def test_embeddings_create(sentry_init, capture_events): +def test_embeddings_create(sentry_init, capture_events, clear_litellm_cache): + """ + Test that litellm.embedding() calls are properly instrumented. + + This test calls the actual litellm.embedding() function (not just callbacks) + to ensure proper integration testing. + """ sentry_init( integrations=[LiteLLMIntegration(include_prompts=True)], traces_sample_rate=1.0, @@ -209,36 +262,131 @@ def test_embeddings_create(sentry_init, capture_events): ) events = capture_events() - messages = [{"role": "user", "content": "Some text to test embeddings"}] mock_response = MockEmbeddingResponse() - with start_transaction(name="litellm test"): - kwargs = { - "model": "text-embedding-ada-002", - "input": "Hello!", - "messages": messages, - "call_type": "embedding", - } + # Mock within the test to ensure proper ordering with cache clearing + with mock.patch( + "litellm.openai_chat_completions.make_sync_openai_embedding_request" + ) as mock_http: + # The function returns (headers, response) + mock_http.return_value = ({}, mock_response) + + with start_transaction(name="litellm test"): + response = litellm.embedding( + model="text-embedding-ada-002", + input="Hello, world!", + api_key="test-key", # Provide a fake API key to avoid authentication errors + ) + # Allow time for callbacks to complete (they may run in separate threads) + time.sleep(0.1) + + # Response is processed by litellm, so just check it exists + assert response is not None + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_EMBEDDINGS + assert span["description"] == "embeddings text-embedding-ada-002" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" + assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5 + assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "text-embedding-ada-002" + # Check that embeddings input is captured (it's JSON serialized) + embeddings_input = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + assert json.loads(embeddings_input) == ["Hello, world!"] + + +def test_embeddings_create_with_list_input( + sentry_init, capture_events, clear_litellm_cache +): + """Test embedding with list input.""" + sentry_init( + integrations=[LiteLLMIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() - _input_callback(kwargs) - _success_callback( - kwargs, - mock_response, - datetime.now(), - datetime.now(), - ) + mock_response = MockEmbeddingResponse() - assert len(events) == 1 - (event,) = events + # Mock within the test to ensure proper ordering with cache clearing + with mock.patch( + "litellm.openai_chat_completions.make_sync_openai_embedding_request" + ) as mock_http: + # The function returns (headers, response) + mock_http.return_value = ({}, mock_response) + + with start_transaction(name="litellm test"): + response = litellm.embedding( + model="text-embedding-ada-002", + input=["First text", "Second text", "Third text"], + api_key="test-key", # Provide a fake API key to avoid authentication errors + ) + # Allow time for callbacks to complete (they may run in separate threads) + time.sleep(0.1) + + # Response is processed by litellm, so just check it exists + assert response is not None + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_EMBEDDINGS + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" + # Check that list of embeddings input is captured (it's JSON serialized) + embeddings_input = span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT] + assert json.loads(embeddings_input) == [ + "First text", + "Second text", + "Third text", + ] + + +def test_embeddings_no_pii(sentry_init, capture_events, clear_litellm_cache): + """Test that PII is not captured when disabled.""" + sentry_init( + integrations=[LiteLLMIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=False, # PII disabled + ) + events = capture_events() - assert event["type"] == "transaction" - assert len(event["spans"]) == 1 - (span,) = event["spans"] + mock_response = MockEmbeddingResponse() + + # Mock within the test to ensure proper ordering with cache clearing + with mock.patch( + "litellm.openai_chat_completions.make_sync_openai_embedding_request" + ) as mock_http: + # The function returns (headers, response) + mock_http.return_value = ({}, mock_response) + + with start_transaction(name="litellm test"): + response = litellm.embedding( + model="text-embedding-ada-002", + input="Hello, world!", + api_key="test-key", # Provide a fake API key to avoid authentication errors + ) + # Allow time for callbacks to complete (they may run in separate threads) + time.sleep(0.1) + + # Response is processed by litellm, so just check it exists + assert response is not None + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert len(event["spans"]) == 1 + (span,) = event["spans"] - assert span["op"] == OP.GEN_AI_EMBEDDINGS - assert span["description"] == "embeddings text-embedding-ada-002" - assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" - assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5 + assert span["op"] == OP.GEN_AI_EMBEDDINGS + # Check that embeddings input is NOT captured when PII is disabled + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in span["data"] def test_exception_handling(sentry_init, capture_events): From f945e382eeef31ad68738a0b6aef80119484ffbc Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Fri, 21 Nov 2025 13:26:04 +0100 Subject: [PATCH 07/51] Fix openai-agents import (#5132) ### Description "agents" is too generic a name, and we're using it to determine whether someone has openai-agents installed. #### Issues Closes https://github.com/getsentry/sentry-python/issues/5129 #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- sentry_sdk/integrations/openai_agents/__init__.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 7e2dee0f66..1f138b5e65 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -9,7 +9,13 @@ ) try: + # "agents" is too generic. If someone has an agents.py file in their project + # or another package that's importable via "agents", no ImportError would not + # be thrown and the integration would enable itself even if openai-agents is + # not installed. That's why we're adding the second, more specific import + # after it, even if we don't use it. import agents + from agents.run import DEFAULT_AGENT_RUNNER except ImportError: raise DidNotEnable("OpenAI Agents not installed") From fb18c2164e054dfcf11c86b392c45a19a0630112 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 21 Nov 2025 15:24:03 +0100 Subject: [PATCH 08/51] fix(pydantic-ai): Make imports defensive to avoid `ModuleNotFoundError` (#5135) Closes https://github.com/getsentry/sentry-python/issues/5134 --- sentry_sdk/integrations/pydantic_ai/patches/agent_run.py | 7 ++++++- .../integrations/pydantic_ai/patches/graph_nodes.py | 7 ++++++- .../integrations/pydantic_ai/patches/model_request.py | 7 ++++++- sentry_sdk/integrations/pydantic_ai/patches/tools.py | 8 ++++++-- 4 files changed, 24 insertions(+), 5 deletions(-) diff --git a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py index 5b58d8f128..daa2da112c 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py @@ -1,12 +1,17 @@ from functools import wraps import sentry_sdk +from sentry_sdk.integrations import DidNotEnable from ..spans import invoke_agent_span, update_invoke_agent_span from ..utils import _capture_exception, pop_agent, push_agent from typing import TYPE_CHECKING -from pydantic_ai.agent import Agent # type: ignore + +try: + from pydantic_ai.agent import Agent # type: ignore +except ImportError: + raise DidNotEnable("pydantic-ai not installed") if TYPE_CHECKING: from typing import Any, Callable, Optional diff --git a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py index e10770d357..6de4c3e80a 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/graph_nodes.py @@ -2,12 +2,17 @@ from functools import wraps import sentry_sdk +from sentry_sdk.integrations import DidNotEnable from ..spans import ( ai_client_span, update_ai_client_span, ) -from pydantic_ai._agent_graph import ModelRequestNode # type: ignore + +try: + from pydantic_ai._agent_graph import ModelRequestNode # type: ignore +except ImportError: + raise DidNotEnable("pydantic-ai not installed") from typing import TYPE_CHECKING diff --git a/sentry_sdk/integrations/pydantic_ai/patches/model_request.py b/sentry_sdk/integrations/pydantic_ai/patches/model_request.py index f4676654cd..f33a031b07 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/model_request.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/model_request.py @@ -1,7 +1,12 @@ from functools import wraps from typing import TYPE_CHECKING -from pydantic_ai import models # type: ignore +from sentry_sdk.integrations import DidNotEnable + +try: + from pydantic_ai import models # type: ignore +except ImportError: + raise DidNotEnable("pydantic-ai not installed") from ..spans import ai_client_span, update_ai_client_span diff --git a/sentry_sdk/integrations/pydantic_ai/patches/tools.py b/sentry_sdk/integrations/pydantic_ai/patches/tools.py index 1940be811f..e3872a5bbc 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/tools.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/tools.py @@ -1,7 +1,6 @@ from functools import wraps -from pydantic_ai._tool_manager import ToolManager # type: ignore - +from sentry_sdk.integrations import DidNotEnable import sentry_sdk from ..spans import execute_tool_span, update_execute_tool_span @@ -22,6 +21,11 @@ except ImportError: HAS_MCP = False +try: + from pydantic_ai._tool_manager import ToolManager # type: ignore +except ImportError: + raise DidNotEnable("pydantic-ai not installed") + def _patch_tool_execution(): # type: () -> None From c0c28b842d2ef3eb2e876bb40594ce8130b3bacd Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 24 Nov 2025 09:21:20 +0100 Subject: [PATCH 09/51] build(deps): bump supercharge/redis-github-action from 1.8.0 to 1.8.1 (#5138) Bumps [supercharge/redis-github-action](https://github.com/supercharge/redis-github-action) from 1.8.0 to 1.8.1.
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1.8.1

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1.8.1 - 2025-11-12

Fixed

  • change Docker tag from docker:stable to docker:latest
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  • bc274cb prepare readme for 1.8.1
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  • 9c3a1cd Merge pull request #29 from supercharge/28-with-the-docker-v29-release-this-a...
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  • f7760cc [FIX] - Correct '--rm' argument placement in docker run (#26)
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/test-integrations-tasks.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml index d9f713177a..02ce1443c4 100644 --- a/.github/workflows/test-integrations-tasks.yml +++ b/.github/workflows/test-integrations-tasks.yml @@ -45,7 +45,7 @@ jobs: python-version: ${{ matrix.python-version }} allow-prereleases: true - name: Start Redis - uses: supercharge/redis-github-action@1.8.0 + uses: supercharge/redis-github-action@1.8.1 - name: Install Java uses: actions/setup-java@v5 with: From b8d6a57d7861eb2420fc591083f70c2d0f477379 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 24 Nov 2025 09:21:34 +0100 Subject: [PATCH 10/51] build(deps): bump actions/create-github-app-token from 2.1.4 to 2.2.0 (#5137) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [actions/create-github-app-token](https://github.com/actions/create-github-app-token) from 2.1.4 to 2.2.0.
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v2.2.0

2.2.0 (2025-11-21)

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  • deps: bump glob from 10.4.5 to 10.5.0 (#305) (5480f43)
  • deps: bump p-retry from 6.2.1 to 7.1.0 (#294) (dce3be8)
  • deps: bump the production-dependencies group with 2 updates (#292) (55e2a4b)

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  • 7e473ef build(release): 2.2.0 [skip ci]
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  • d90aa53 feat: update permission inputs (#296)
  • 55e2a4b fix(deps): bump the production-dependencies group with 2 updates (#292)
  • cc6f999 ci(test): trigger on merge_group (#308)
  • 40fa6b5 build(deps-dev): bump @​sinonjs/fake-timers from 14.0.0 to 15.0.0 (#295)
  • 396e502 build(deps): bump actions/checkout from 5 to 6 (#306)
  • f48f2eb build(deps): bump stefanzweifel/git-auto-commit-action from 6.0.1 to 7.0.0 (#...
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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/release.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 68aeebf2b7..17d953b52a 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -20,7 +20,7 @@ jobs: steps: - name: Get auth token id: token - uses: actions/create-github-app-token@67018539274d69449ef7c02e8e71183d1719ab42 # v2.1.4 + uses: actions/create-github-app-token@7e473efe3cb98aa54f8d4bac15400b15fad77d94 # v2.2.0 with: app-id: ${{ vars.SENTRY_RELEASE_BOT_CLIENT_ID }} private-key: ${{ secrets.SENTRY_RELEASE_BOT_PRIVATE_KEY }} From cf165e332b765b5ce657e09388fae454c1e63e54 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 24 Nov 2025 09:23:32 +0100 Subject: [PATCH 11/51] build(deps): bump actions/checkout from 5.0.0 to 6.0.0 (#5136) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [actions/checkout](https://github.com/actions/checkout) from 5.0.0 to 6.0.0.
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v6.0.0

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v6-beta

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Updated persist-credentials to store the credentials under $RUNNER_TEMP instead of directly in the local git config.

This requires a minimum Actions Runner version of v2.329.0 to access the persisted credentials for Docker container action scenarios.

v5.0.1

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- .github/workflows/ci.yml | 6 +++--- .github/workflows/codeql-analysis.yml | 2 +- .github/workflows/release.yml | 2 +- .github/workflows/test-integrations-ai.yml | 2 +- .github/workflows/test-integrations-cloud.yml | 2 +- .github/workflows/test-integrations-common.yml | 2 +- .github/workflows/test-integrations-dbs.yml | 2 +- .github/workflows/test-integrations-flags.yml | 2 +- .github/workflows/test-integrations-gevent.yml | 2 +- .github/workflows/test-integrations-graphql.yml | 2 +- .github/workflows/test-integrations-misc.yml | 2 +- .github/workflows/test-integrations-network.yml | 2 +- .github/workflows/test-integrations-tasks.yml | 2 +- .github/workflows/test-integrations-web-1.yml | 2 +- .github/workflows/test-integrations-web-2.yml | 2 +- .github/workflows/update-tox.yml | 2 +- 16 files changed, 18 insertions(+), 18 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 9ad1e9b66d..7694a417dc 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -24,7 +24,7 @@ jobs: timeout-minutes: 10 steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 with: python-version: 3.14 @@ -39,7 +39,7 @@ jobs: timeout-minutes: 10 steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 with: python-version: 3.12 @@ -70,7 +70,7 @@ jobs: timeout-minutes: 10 steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 with: python-version: 3.12 diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml index de0b8217da..1771fff811 100644 --- a/.github/workflows/codeql-analysis.yml +++ b/.github/workflows/codeql-analysis.yml @@ -48,7 +48,7 @@ jobs: steps: - name: Checkout repository - uses: actions/checkout@v5.0.0 + uses: actions/checkout@v6.0.0 # Initializes the CodeQL tools for scanning. - name: Initialize CodeQL diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 17d953b52a..00465c16c9 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -24,7 +24,7 @@ jobs: with: app-id: ${{ vars.SENTRY_RELEASE_BOT_CLIENT_ID }} private-key: ${{ secrets.SENTRY_RELEASE_BOT_PRIVATE_KEY }} - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 with: token: ${{ steps.token.outputs.token }} fetch-depth: 0 diff --git a/.github/workflows/test-integrations-ai.yml b/.github/workflows/test-integrations-ai.yml index a9a6abead3..de25fb3e84 100644 --- a/.github/workflows/test-integrations-ai.yml +++ b/.github/workflows/test-integrations-ai.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-cloud.yml b/.github/workflows/test-integrations-cloud.yml index 00323b44e8..6d95aef350 100644 --- a/.github/workflows/test-integrations-cloud.yml +++ b/.github/workflows/test-integrations-cloud.yml @@ -42,7 +42,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-common.yml b/.github/workflows/test-integrations-common.yml index 5ac65c327f..716d21c695 100644 --- a/.github/workflows/test-integrations-common.yml +++ b/.github/workflows/test-integrations-common.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-dbs.yml b/.github/workflows/test-integrations-dbs.yml index 01f00d5673..cdea7916bf 100644 --- a/.github/workflows/test-integrations-dbs.yml +++ b/.github/workflows/test-integrations-dbs.yml @@ -56,7 +56,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-flags.yml b/.github/workflows/test-integrations-flags.yml index 0f232aeb29..b13ac20d6f 100644 --- a/.github/workflows/test-integrations-flags.yml +++ b/.github/workflows/test-integrations-flags.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-gevent.yml b/.github/workflows/test-integrations-gevent.yml index 998a3c0974..5a607a700c 100644 --- a/.github/workflows/test-integrations-gevent.yml +++ b/.github/workflows/test-integrations-gevent.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-graphql.yml b/.github/workflows/test-integrations-graphql.yml index 9504e84a6f..6bfb57209f 100644 --- a/.github/workflows/test-integrations-graphql.yml +++ b/.github/workflows/test-integrations-graphql.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-misc.yml b/.github/workflows/test-integrations-misc.yml index 3819d24b06..606429dcfd 100644 --- a/.github/workflows/test-integrations-misc.yml +++ b/.github/workflows/test-integrations-misc.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-network.yml b/.github/workflows/test-integrations-network.yml index 170f407b31..78a8600ad6 100644 --- a/.github/workflows/test-integrations-network.yml +++ b/.github/workflows/test-integrations-network.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml index 02ce1443c4..edc1bc4868 100644 --- a/.github/workflows/test-integrations-tasks.yml +++ b/.github/workflows/test-integrations-tasks.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-web-1.yml b/.github/workflows/test-integrations-web-1.yml index 9bbc57d079..dca0278535 100644 --- a/.github/workflows/test-integrations-web-1.yml +++ b/.github/workflows/test-integrations-web-1.yml @@ -56,7 +56,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/test-integrations-web-2.yml b/.github/workflows/test-integrations-web-2.yml index 8907c9a29d..cfe3f86a9e 100644 --- a/.github/workflows/test-integrations-web-2.yml +++ b/.github/workflows/test-integrations-web-2.yml @@ -38,7 +38,7 @@ jobs: # Use Docker container only for Python 3.6 container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 if: ${{ matrix.python-version != '3.6' }} with: diff --git a/.github/workflows/update-tox.yml b/.github/workflows/update-tox.yml index ebb62a44c2..7d1565271a 100644 --- a/.github/workflows/update-tox.yml +++ b/.github/workflows/update-tox.yml @@ -23,7 +23,7 @@ jobs: python-version: 3.14t - name: Checkout repo - uses: actions/checkout@v5.0.0 + uses: actions/checkout@v6.0.0 with: token: ${{ secrets.GITHUB_TOKEN }} From ca19d6300f53178e77e77ded477a91338ad9be09 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Mon, 24 Nov 2025 09:42:22 +0100 Subject: [PATCH 12/51] feat: Preserve metadata on wrapped coroutines (#5105) Copy metadata when wrapping coroutines in the patched `asyncio` task factory. Uses the `functools.update_wrapper()` function that is also used internally by `functools.wraps()`. Unlike when wrapping functions, less metadata is available on coroutines, so `_wrap_coroutine()` is equivalent to `functools.wraps()` but copies fewer attributes. As `functools.update_wrapper()` checks for the existence of properties first, copying metadata will not result in an `AttributeError` if metadata is not available. See https://docs.python.org/3/library/functools.html#functools.update_wrapper. The SDK no longer overwrites coroutine metadata included in destroyed errors as reported in https://github.com/getsentry/sentry-python/issues/5072. --- sentry_sdk/integrations/asyncio.py | 17 ++++++++++++++++- tests/integrations/asyncio/test_asyncio.py | 11 ++++++++++- 2 files changed, 26 insertions(+), 2 deletions(-) diff --git a/sentry_sdk/integrations/asyncio.py b/sentry_sdk/integrations/asyncio.py index 66742fe6e4..a652edc280 100644 --- a/sentry_sdk/integrations/asyncio.py +++ b/sentry_sdk/integrations/asyncio.py @@ -1,4 +1,5 @@ import sys +import functools import sentry_sdk from sentry_sdk.consts import OP @@ -14,11 +15,13 @@ from typing import cast, TYPE_CHECKING if TYPE_CHECKING: - from typing import Any + from typing import Any, Callable, TypeVar from collections.abc import Coroutine from sentry_sdk._types import ExcInfo + T = TypeVar("T", bound=Callable[..., Any]) + def get_name(coro): # type: (Any) -> str @@ -29,6 +32,17 @@ def get_name(coro): ) +def _wrap_coroutine(wrapped): + # type: (Coroutine[Any, Any, Any]) -> Callable[[T], T] + # Only __name__ and __qualname__ are copied from function to coroutine in CPython + return functools.partial( + functools.update_wrapper, + wrapped=wrapped, # type: ignore + assigned=("__name__", "__qualname__"), + updated=(), + ) + + def patch_asyncio(): # type: () -> None orig_task_factory = None @@ -39,6 +53,7 @@ def patch_asyncio(): def _sentry_task_factory(loop, coro, **kwargs): # type: (asyncio.AbstractEventLoop, Coroutine[Any, Any, Any], Any) -> asyncio.Future[Any] + @_wrap_coroutine(coro) async def _task_with_sentry_span_creation(): # type: () -> Any result = None diff --git a/tests/integrations/asyncio/test_asyncio.py b/tests/integrations/asyncio/test_asyncio.py index 66113746bf..11b60fb0e1 100644 --- a/tests/integrations/asyncio/test_asyncio.py +++ b/tests/integrations/asyncio/test_asyncio.py @@ -67,7 +67,16 @@ async def test_create_task( with sentry_sdk.start_transaction(name="test_transaction_for_create_task"): with sentry_sdk.start_span(op="root", name="not so important"): - tasks = [asyncio.create_task(foo()), asyncio.create_task(bar())] + foo_task = asyncio.create_task(foo()) + bar_task = asyncio.create_task(bar()) + + if hasattr(foo_task.get_coro(), "__name__"): + assert foo_task.get_coro().__name__ == "foo" + if hasattr(bar_task.get_coro(), "__name__"): + assert bar_task.get_coro().__name__ == "bar" + + tasks = [foo_task, bar_task] + await asyncio.wait(tasks, return_when=asyncio.FIRST_EXCEPTION) sentry_sdk.flush() From 23abfe299675a32dc7354e72aee8890918659479 Mon Sep 17 00:00:00 2001 From: getsentry-bot Date: Mon, 24 Nov 2025 08:44:18 +0000 Subject: [PATCH 13/51] release: 2.46.0 --- CHANGELOG.md | 17 +++++++++++++++++ docs/conf.py | 2 +- sentry_sdk/consts.py | 2 +- setup.py | 2 +- 4 files changed, 20 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 848ffdd17d..f14446e90f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,22 @@ # Changelog +## 2.46.0 + +### Various fixes & improvements + +- feat: Preserve metadata on wrapped coroutines (#5105) by @alexander-alderman-webb +- build(deps): bump actions/checkout from 5.0.0 to 6.0.0 (#5136) by @dependabot +- build(deps): bump actions/create-github-app-token from 2.1.4 to 2.2.0 (#5137) by @dependabot +- build(deps): bump supercharge/redis-github-action from 1.8.0 to 1.8.1 (#5138) by @dependabot +- fix(pydantic-ai): Make imports defensive to avoid `ModuleNotFoundError` (#5135) by @alexander-alderman-webb +- Fix openai-agents import (#5132) by @sentrivana +- fix(integrations): enhance input handling for embeddings in LiteLLM integration (#5127) by @constantinius +- test(openai-agents): Remove `MagicMock` from mocked `ModelResponse` (#5126) by @alexander-alderman-webb +- test(dramatiq): Expect exceptions when re-raised (#5125) by @alexander-alderman-webb +- feat: add instrumentation to embedding functions for various backends (#5120) by @constantinius +- fix(integrations): improve embeddings support for openai (#5121) by @constantinius +- ci: Update tox (#5122) by @sentrivana + ## 2.45.0 ### Various fixes & improvements diff --git a/docs/conf.py b/docs/conf.py index 7ab902cb38..c2f17285c2 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -31,7 +31,7 @@ copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year) author = "Sentry Team and Contributors" -release = "2.45.0" +release = "2.46.0" version = ".".join(release.split(".")[:2]) # The short X.Y version. diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index a3d328274c..ebc46b92b1 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -1448,4 +1448,4 @@ def _get_default_options(): del _get_default_options -VERSION = "2.45.0" +VERSION = "2.46.0" diff --git a/setup.py b/setup.py index cde3741d32..6711e676f1 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def get_file_text(file_name): setup( name="sentry-sdk", - version="2.45.0", + version="2.46.0", author="Sentry Team and Contributors", author_email="hello@sentry.io", url="https://github.com/getsentry/sentry-python", From d3375bc37b08f0bb203689d77ea81fea6511eda4 Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Mon, 24 Nov 2025 09:47:25 +0100 Subject: [PATCH 14/51] Update CHANGELOG.md --- CHANGELOG.md | 20 ++++++++------------ 1 file changed, 8 insertions(+), 12 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index f14446e90f..80497ccd04 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,18 +4,14 @@ ### Various fixes & improvements -- feat: Preserve metadata on wrapped coroutines (#5105) by @alexander-alderman-webb -- build(deps): bump actions/checkout from 5.0.0 to 6.0.0 (#5136) by @dependabot -- build(deps): bump actions/create-github-app-token from 2.1.4 to 2.2.0 (#5137) by @dependabot -- build(deps): bump supercharge/redis-github-action from 1.8.0 to 1.8.1 (#5138) by @dependabot -- fix(pydantic-ai): Make imports defensive to avoid `ModuleNotFoundError` (#5135) by @alexander-alderman-webb -- Fix openai-agents import (#5132) by @sentrivana -- fix(integrations): enhance input handling for embeddings in LiteLLM integration (#5127) by @constantinius -- test(openai-agents): Remove `MagicMock` from mocked `ModelResponse` (#5126) by @alexander-alderman-webb -- test(dramatiq): Expect exceptions when re-raised (#5125) by @alexander-alderman-webb -- feat: add instrumentation to embedding functions for various backends (#5120) by @constantinius -- fix(integrations): improve embeddings support for openai (#5121) by @constantinius -- ci: Update tox (#5122) by @sentrivana +- Preserve metadata on wrapped coroutines (#5105) by @alexander-alderman-webb +- Make imports defensive to avoid `ModuleNotFoundError` in Pydantic AI integration (#5135) by @alexander-alderman-webb +- Fix OpenAI agents integration mistakenly enabling itself (#5132) by @sentrivana +- Add instrumentation to embedding functions for various backends (#5120) by @constantinius +- Improve embeddings support for OpenAI (#5121) by @constantinius +- Enhance input handling for embeddings in LiteLLM integration (#5127) by @constantinius +- Expect exceptions when re-raised (#5125) by @alexander-alderman-webb +- Remove `MagicMock` from mocked `ModelResponse` (#5126) by @alexander-alderman-webb ## 2.45.0 From 5215727c37f2845f91b1898ec3bbd609f8ec42a0 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Mon, 24 Nov 2025 10:29:38 +0100 Subject: [PATCH 15/51] ci: Update test matrix with new releases (11/24) (#5139) Update our test matrix with new releases of integrated frameworks and libraries. ## How it works - Scan PyPI for all supported releases of all frameworks we have a dedicated test suite for. - Pick a representative sample of releases to run our test suite against. We always test the latest and oldest supported version. - Update [tox.ini](https://github.com/getsentry/sentry-python/blob/master/tox.ini) with the new releases. --- .github/workflows/test-integrations-tasks.yml | 2 +- scripts/populate_tox/config.py | 5 +- .../populate_tox/package_dependencies.jsonl | 9 ++-- scripts/populate_tox/releases.jsonl | 28 +++++----- tox.ini | 52 +++++++++---------- 5 files changed, 52 insertions(+), 44 deletions(-) diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml index edc1bc4868..ff565e27e5 100644 --- a/.github/workflows/test-integrations-tasks.yml +++ b/.github/workflows/test-integrations-tasks.yml @@ -29,7 +29,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13"] + python-version: ["3.6","3.7","3.8","3.9","3.10","3.11","3.12","3.13","3.14","3.14t"] # python3.6 reached EOL and is no longer being supported on # new versions of hosted runners on Github Actions # ubuntu-20.04 is the last version that supported python3.6 diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index b8b497b01b..0277d0a3cd 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -329,7 +329,10 @@ }, "ray": { "package": "ray", - "python": ">=3.9", + "python": { + ">0.0,<2.52.0": ">=3.9", + ">=2.52.0": ">=3.10", + }, "num_versions": 2, }, "redis": { diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index da29caea2a..a315d18e60 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ b/scripts/populate_tox/package_dependencies.jsonl @@ -1,4 +1,4 @@ -{"name": "boto3", "version": "1.41.0", "dependencies": [{"download_info": {"url": "https://files.pythonhosted.org/packages/32/35/5f4b70f20188614a485b26e80369b9fa260a06fb0ae328153d7fc647619f/boto3-1.41.0-py3-none-any.whl"}}, {"download_info": {"url": 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"Natural Language :: Spanish", "Natural Language :: Turkish", "Natural Language :: Ukrainian", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.9", "version": "7.6.10", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-7.6.10-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-7.6.10.tar.gz"}]} +{"info": {"classifiers": ["Development Status :: 5 - Production/Stable", "Environment :: Console", "Environment :: No Input/Output (Daemon)", "Framework :: Tryton", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Natural Language :: Bulgarian", "Natural Language :: Catalan", "Natural Language :: Chinese (Simplified)", "Natural Language :: Czech", "Natural Language :: Dutch", "Natural Language :: English", "Natural Language :: Finnish", "Natural Language :: French", "Natural Language :: German", "Natural Language :: Hungarian", "Natural Language :: Indonesian", "Natural Language :: Italian", "Natural Language :: Persian", "Natural Language :: Polish", "Natural Language :: Portuguese (Brazilian)", "Natural Language :: Romanian", "Natural Language :: Russian", "Natural Language :: Slovenian", "Natural Language :: Spanish", "Natural Language :: Turkish", "Natural Language :: Ukrainian", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Software Development :: Libraries :: Application Frameworks"], "name": "trytond", "requires_python": ">=3.9", "version": "7.6.11", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "trytond-7.6.11-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "trytond-7.6.11.tar.gz"}]} {"info": {"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules", "Typing :: Typed"], "name": "typer", "requires_python": ">=3.7", "version": "0.15.4", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.15.4-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.15.4.tar.gz"}]} {"info": {"classifiers": ["Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules", "Typing :: Typed"], "name": "typer", "requires_python": ">=3.8", "version": "0.20.0", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.20.0-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.20.0.tar.gz"}]} diff --git a/tox.ini b/tox.ini index 12ca0bde63..cf911a56a8 100644 --- a/tox.ini +++ b/tox.ini @@ -64,13 +64,13 @@ envlist = {py3.9,py3.11,py3.12}-cohere-v5.20.0 {py3.9,py3.12,py3.13}-google_genai-v1.29.0 - {py3.9,py3.12,py3.13}-google_genai-v1.36.0 - {py3.9,py3.12,py3.13}-google_genai-v1.43.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0 + {py3.9,py3.12,py3.13}-google_genai-v1.37.0 + {py3.9,py3.13,py3.14,py3.14t}-google_genai-v1.45.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.52.0 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.4 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.5 {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 @@ -86,12 +86,12 @@ envlist = {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 {py3.9,py3.12,py3.13}-litellm-v1.79.3 - {py3.9,py3.12,py3.13}-litellm-v1.80.0 + {py3.9,py3.12,py3.13}-litellm-v1.80.5 {py3.10,py3.12,py3.13}-mcp-v1.15.0 {py3.10,py3.12,py3.13}-mcp-v1.17.0 {py3.10,py3.12,py3.13}-mcp-v1.19.0 - {py3.10,py3.12,py3.13}-mcp-v1.21.2 + {py3.10,py3.12,py3.13}-mcp-v1.22.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 @@ -114,14 +114,14 @@ envlist = {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 {py3.10,py3.12,py3.13}-pydantic_ai-v1.7.0 {py3.10,py3.12,py3.13}-pydantic_ai-v1.14.1 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.20.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.22.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.41.0 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.41.2 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -180,7 +180,7 @@ envlist = {py3.8,py3.12,py3.13}-graphene-v3.4.3 {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.286.0 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.287.0 # ~~~ Network ~~~ @@ -207,7 +207,7 @@ envlist = {py3.6,py3.7,py3.8}-celery-v4.4.7 {py3.8,py3.12,py3.13}-celery-v5.5.3 - {py3.9,py3.12,py3.13}-celery-v5.6.0rc1 + {py3.9,py3.12,py3.13}-celery-v5.6.0rc2 {py3.6,py3.7}-dramatiq-v1.9.0 {py3.10,py3.13,py3.14,py3.14t}-dramatiq-v2.0.0 @@ -216,12 +216,12 @@ envlist = {py3.6,py3.11,py3.12}-huey-v2.5.4 {py3.9,py3.10}-ray-v2.7.2 - {py3.9,py3.12,py3.13}-ray-v2.51.1 + {py3.10,py3.12,py3.13}-ray-v2.52.0 {py3.6}-rq-v0.8.2 {py3.6,py3.7}-rq-v0.13.0 {py3.7,py3.11,py3.12}-rq-v1.16.2 - {py3.9,py3.12,py3.13}-rq-v2.6.0 + {py3.9,py3.12,py3.13}-rq-v2.6.1 {py3.8,py3.9}-spark-v3.0.3 {py3.8,py3.10,py3.11}-spark-v3.5.7 @@ -299,7 +299,7 @@ envlist = {py3.6}-trytond-v4.8.18 {py3.6,py3.7,py3.8}-trytond-v5.8.16 {py3.8,py3.10,py3.11}-trytond-v6.8.17 - {py3.9,py3.12,py3.13}-trytond-v7.6.10 + {py3.9,py3.12,py3.13}-trytond-v7.6.11 {py3.7,py3.12,py3.13}-typer-v0.15.4 {py3.8,py3.13,py3.14,py3.14t}-typer-v0.20.0 @@ -385,14 +385,14 @@ deps = cohere-v5.20.0: cohere==5.20.0 google_genai-v1.29.0: google-genai==1.29.0 - google_genai-v1.36.0: google-genai==1.36.0 - google_genai-v1.43.0: google-genai==1.43.0 - google_genai-v1.51.0: google-genai==1.51.0 + google_genai-v1.37.0: google-genai==1.37.0 + google_genai-v1.45.0: google-genai==1.45.0 + google_genai-v1.52.0: google-genai==1.52.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 huggingface_hub-v0.36.0: huggingface_hub==0.36.0 - huggingface_hub-v1.1.4: huggingface_hub==1.1.4 + huggingface_hub-v1.1.5: huggingface_hub==1.1.5 huggingface_hub: responses huggingface_hub: pytest-httpx @@ -423,12 +423,12 @@ deps = litellm-v1.77.7: litellm==1.77.7 litellm-v1.78.7: litellm==1.78.7 litellm-v1.79.3: litellm==1.79.3 - litellm-v1.80.0: litellm==1.80.0 + litellm-v1.80.5: litellm==1.80.5 mcp-v1.15.0: mcp==1.15.0 mcp-v1.17.0: mcp==1.17.0 mcp-v1.19.0: mcp==1.19.0 - mcp-v1.21.2: mcp==1.21.2 + mcp-v1.22.0: mcp==1.22.0 mcp: pytest-asyncio fastmcp-v0.1.0: fastmcp==0.1.0 @@ -459,7 +459,7 @@ deps = pydantic_ai-v1.0.18: pydantic-ai==1.0.18 pydantic_ai-v1.7.0: pydantic-ai==1.7.0 pydantic_ai-v1.14.1: pydantic-ai==1.14.1 - pydantic_ai-v1.20.0: pydantic-ai==1.20.0 + pydantic_ai-v1.22.0: pydantic-ai==1.22.0 pydantic_ai: pytest-asyncio @@ -467,7 +467,7 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.41.0: boto3==1.41.0 + boto3-v1.41.2: boto3==1.41.2 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -544,7 +544,7 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.286.0: strawberry-graphql[fastapi,flask]==0.286.0 + strawberry-v0.287.0: strawberry-graphql[fastapi,flask]==0.287.0 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -587,7 +587,7 @@ deps = celery-v4.4.7: celery==4.4.7 celery-v5.5.3: celery==5.5.3 - celery-v5.6.0rc1: celery==5.6.0rc1 + celery-v5.6.0rc2: celery==5.6.0rc2 celery: newrelic<10.17.0 celery: redis {py3.7}-celery: importlib-metadata<5.0 @@ -599,12 +599,12 @@ deps = huey-v2.5.4: huey==2.5.4 ray-v2.7.2: ray==2.7.2 - ray-v2.51.1: ray==2.51.1 + ray-v2.52.0: ray==2.52.0 rq-v0.8.2: rq==0.8.2 rq-v0.13.0: rq==0.13.0 rq-v1.16.2: rq==1.16.2 - rq-v2.6.0: rq==2.6.0 + rq-v2.6.1: rq==2.6.1 rq: fakeredis<2.28.0 rq-v0.8.2: fakeredis<1.0 rq-v0.8.2: redis<3.2.2 @@ -767,7 +767,7 @@ deps = trytond-v4.8.18: trytond==4.8.18 trytond-v5.8.16: trytond==5.8.16 trytond-v6.8.17: trytond==6.8.17 - trytond-v7.6.10: trytond==7.6.10 + trytond-v7.6.11: trytond==7.6.11 trytond: werkzeug trytond-v4.6.22: werkzeug<1.0 trytond-v4.8.18: werkzeug<1.0 From 3c32bb42c6964d6c015f83098446dda9434af810 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Mon, 24 Nov 2025 15:55:26 +0100 Subject: [PATCH 16/51] Rename setup_otlp_exporter to setup_otlp_traces_exporter (#5142) See https://github.com/getsentry/sentry-docs/pull/15548#discussion_r2547534359 --- sentry_sdk/integrations/otlp.py | 10 +++++----- tests/integrations/otlp/test_otlp.py | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/sentry_sdk/integrations/otlp.py b/sentry_sdk/integrations/otlp.py index 7fa705b832..046ce916f6 100644 --- a/sentry_sdk/integrations/otlp.py +++ b/sentry_sdk/integrations/otlp.py @@ -33,7 +33,7 @@ def otel_propagation_context(): return (trace.format_trace_id(ctx.trace_id), trace.format_span_id(ctx.span_id)) -def setup_otlp_exporter(dsn=None): +def setup_otlp_traces_exporter(dsn=None): # type: (Optional[str]) -> None tracer_provider = trace.get_tracer_provider() @@ -58,9 +58,9 @@ def setup_otlp_exporter(dsn=None): class OTLPIntegration(Integration): identifier = "otlp" - def __init__(self, setup_otlp_exporter=True, setup_propagator=True): + def __init__(self, setup_otlp_traces_exporter=True, setup_propagator=True): # type: (bool, bool) -> None - self.setup_otlp_exporter = setup_otlp_exporter + self.setup_otlp_traces_exporter = setup_otlp_traces_exporter self.setup_propagator = setup_propagator @staticmethod @@ -71,10 +71,10 @@ def setup_once(): def setup_once_with_options(self, options=None): # type: (Optional[Dict[str, Any]]) -> None - if self.setup_otlp_exporter: + if self.setup_otlp_traces_exporter: logger.debug("[OTLP] Setting up OTLP exporter") dsn = options.get("dsn") if options else None # type: Optional[str] - setup_otlp_exporter(dsn) + setup_otlp_traces_exporter(dsn) if self.setup_propagator: logger.debug("[OTLP] Setting up propagator for distributed tracing") diff --git a/tests/integrations/otlp/test_otlp.py b/tests/integrations/otlp/test_otlp.py index 8806080be7..0f431fb2f4 100644 --- a/tests/integrations/otlp/test_otlp.py +++ b/tests/integrations/otlp/test_otlp.py @@ -97,7 +97,7 @@ def test_does_not_setup_exporter_when_disabled(sentry_init): sentry_init( dsn="https://mysecret@bla.ingest.sentry.io/12312012", - integrations=[OTLPIntegration(setup_otlp_exporter=False)], + integrations=[OTLPIntegration(setup_otlp_traces_exporter=False)], ) tracer_provider = get_tracer_provider() From e068db6b8331979fda39a42e58744cd04ac7e60a Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Tue, 25 Nov 2025 09:10:39 +0100 Subject: [PATCH 17/51] feat(django): Instrument database commits (#5100) Add spans for SQL commits issued when Django calls `commit()` on a PEP-249 database connection. Commit spans are generated for `transaction.atomic` blocks and for manual `transction.commit()` calls when auto-commit is disabled. Tests cover both cases, for SQLite and PostgreSQL, respectively. --- sentry_sdk/consts.py | 4 + sentry_sdk/integrations/django/__init__.py | 28 +- tests/integrations/django/myapp/urls.py | 10 + tests/integrations/django/myapp/views.py | 27 ++ .../django/test_db_transactions.py | 454 ++++++++++++++++++ 5 files changed, 520 insertions(+), 3 deletions(-) create mode 100644 tests/integrations/django/test_db_transactions.py diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index ebc46b92b1..339c516508 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -114,6 +114,10 @@ class INSTRUMENTER: OTEL = "otel" +class SPANNAME: + DB_COMMIT = "COMMIT" + + class SPANDATA: """ Additional information describing the type of the span. diff --git a/sentry_sdk/integrations/django/__init__.py b/sentry_sdk/integrations/django/__init__.py index 2041598fa0..95a4fbae9f 100644 --- a/sentry_sdk/integrations/django/__init__.py +++ b/sentry_sdk/integrations/django/__init__.py @@ -5,7 +5,7 @@ from importlib import import_module import sentry_sdk -from sentry_sdk.consts import OP, SPANDATA +from sentry_sdk.consts import OP, SPANDATA, SPANNAME from sentry_sdk.scope import add_global_event_processor, should_send_default_pii from sentry_sdk.serializer import add_global_repr_processor, add_repr_sequence_type from sentry_sdk.tracing import SOURCE_FOR_STYLE, TransactionSource @@ -132,6 +132,7 @@ def __init__( middleware_spans=True, # type: bool signals_spans=True, # type: bool cache_spans=False, # type: bool + db_transaction_spans=False, # type: bool signals_denylist=None, # type: Optional[list[signals.Signal]] http_methods_to_capture=DEFAULT_HTTP_METHODS_TO_CAPTURE, # type: tuple[str, ...] ): @@ -148,6 +149,7 @@ def __init__( self.signals_denylist = signals_denylist or [] self.cache_spans = cache_spans + self.db_transaction_spans = db_transaction_spans self.http_methods_to_capture = tuple(map(str.upper, http_methods_to_capture)) @@ -633,6 +635,7 @@ def install_sql_hook(): real_execute = CursorWrapper.execute real_executemany = CursorWrapper.executemany real_connect = BaseDatabaseWrapper.connect + real_commit = BaseDatabaseWrapper._commit except AttributeError: # This won't work on Django versions < 1.6 return @@ -690,18 +693,37 @@ def connect(self): _set_db_data(span, self) return real_connect(self) + def _commit(self): + # type: (BaseDatabaseWrapper) -> None + integration = sentry_sdk.get_client().get_integration(DjangoIntegration) + + if integration is None or not integration.db_transaction_spans: + return real_commit(self) + + with sentry_sdk.start_span( + op=OP.DB, + name=SPANNAME.DB_COMMIT, + origin=DjangoIntegration.origin_db, + ) as span: + _set_db_data(span, self, SPANNAME.DB_COMMIT) + return real_commit(self) + CursorWrapper.execute = execute CursorWrapper.executemany = executemany BaseDatabaseWrapper.connect = connect + BaseDatabaseWrapper._commit = _commit ignore_logger("django.db.backends") -def _set_db_data(span, cursor_or_db): - # type: (Span, Any) -> None +def _set_db_data(span, cursor_or_db, db_operation=None): + # type: (Span, Any, Optional[str]) -> None db = cursor_or_db.db if hasattr(cursor_or_db, "db") else cursor_or_db vendor = db.vendor span.set_data(SPANDATA.DB_SYSTEM, vendor) + if db_operation is not None: + span.set_data(SPANDATA.DB_OPERATION, db_operation) + # Some custom backends override `__getattr__`, making it look like `cursor_or_db` # actually has a `connection` and the `connection` has a `get_dsn_parameters` # attribute, only to throw an error once you actually want to call it. diff --git a/tests/integrations/django/myapp/urls.py b/tests/integrations/django/myapp/urls.py index fbc9e6032e..2d39228524 100644 --- a/tests/integrations/django/myapp/urls.py +++ b/tests/integrations/django/myapp/urls.py @@ -61,6 +61,16 @@ def path(path, *args, **kwargs): path("template-test4", views.template_test4, name="template_test4"), path("postgres-select", views.postgres_select, name="postgres_select"), path("postgres-select-slow", views.postgres_select_orm, name="postgres_select_orm"), + path( + "postgres-insert-no-autocommit", + views.postgres_insert_orm_no_autocommit, + name="postgres_insert_orm_no_autocommit", + ), + path( + "postgres-insert-atomic", + views.postgres_insert_orm_atomic, + name="postgres_insert_orm_atomic", + ), path( "postgres-select-slow-from-supplement", helper_views.postgres_select_orm, diff --git a/tests/integrations/django/myapp/views.py b/tests/integrations/django/myapp/views.py index 9c14bc27d7..4787e631f3 100644 --- a/tests/integrations/django/myapp/views.py +++ b/tests/integrations/django/myapp/views.py @@ -2,6 +2,7 @@ import json import threading +from django.db import transaction from django.contrib.auth import login from django.contrib.auth.models import User from django.core.exceptions import PermissionDenied @@ -246,6 +247,32 @@ def postgres_select_orm(request, *args, **kwargs): return HttpResponse("ok {}".format(user)) +@csrf_exempt +def postgres_insert_orm_no_autocommit(request, *args, **kwargs): + transaction.set_autocommit(False, using="postgres") + try: + user = User.objects.db_manager("postgres").create_user( + username="user1", + ) + transaction.commit(using="postgres") + except Exception: + transaction.rollback(using="postgres") + transaction.set_autocommit(True, using="postgres") + raise + + transaction.set_autocommit(True, using="postgres") + return HttpResponse("ok {}".format(user)) + + +@csrf_exempt +def postgres_insert_orm_atomic(request, *args, **kwargs): + with transaction.atomic(using="postgres"): + user = User.objects.db_manager("postgres").create_user( + username="user1", + ) + return HttpResponse("ok {}".format(user)) + + @csrf_exempt def permission_denied_exc(*args, **kwargs): raise PermissionDenied("bye") diff --git a/tests/integrations/django/test_db_transactions.py b/tests/integrations/django/test_db_transactions.py new file mode 100644 index 0000000000..f2a1495b43 --- /dev/null +++ b/tests/integrations/django/test_db_transactions.py @@ -0,0 +1,454 @@ +import os +import pytest +import itertools +from datetime import datetime + +from django.db import connections +from django.contrib.auth.models import User + +try: + from django.urls import reverse +except ImportError: + from django.core.urlresolvers import reverse + +from werkzeug.test import Client + +from sentry_sdk import start_transaction +from sentry_sdk.consts import SPANDATA, SPANNAME +from sentry_sdk.integrations.django import DjangoIntegration + +from tests.integrations.django.utils import pytest_mark_django_db_decorator +from tests.integrations.django.myapp.wsgi import application + + +@pytest.fixture +def client(): + return Client(application) + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_transaction_spans_disabled_no_autocommit( + sentry_init, client, capture_events +): + sentry_init( + integrations=[DjangoIntegration()], + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_no_autocommit")) + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + + transaction.set_autocommit(False) + cursor.executemany(query, query_list) + transaction.commit() + transaction.set_autocommit(True) + + (postgres_spans, sqlite_spans) = events + + # Ensure operation is persisted + assert User.objects.using("postgres").exists() + + assert postgres_spans["contexts"]["trace"]["origin"] == "auto.http.django" + assert sqlite_spans["contexts"]["trace"]["origin"] == "manual" + + commit_spans = [ + span + for span in itertools.chain(postgres_spans["spans"], sqlite_spans["spans"]) + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 0 + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_transaction_spans_disabled_atomic(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration()], + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_atomic")) + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + with transaction.atomic(): + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + cursor.executemany(query, query_list) + + (postgres_spans, sqlite_spans) = events + + # Ensure operation is persisted + assert User.objects.using("postgres").exists() + + assert postgres_spans["contexts"]["trace"]["origin"] == "auto.http.django" + assert sqlite_spans["contexts"]["trace"]["origin"] == "manual" + + commit_spans = [ + span + for span in itertools.chain(postgres_spans["spans"], sqlite_spans["spans"]) + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 0 + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_no_autocommit_execute(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_no_autocommit")) + + (event,) = events + + # Ensure operation is persisted + assert User.objects.using("postgres").exists() + + assert event["contexts"]["trace"]["origin"] == "auto.http.django" + + commit_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 1 + commit_span = commit_spans[0] + assert commit_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert commit_span["data"].get(SPANDATA.DB_SYSTEM) == "postgresql" + conn_params = connections["postgres"].get_connection_params() + assert commit_span["data"].get(SPANDATA.DB_NAME) is not None + assert commit_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + assert commit_span["data"].get(SPANDATA.SERVER_ADDRESS) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_HOST", "localhost" + ) + assert commit_span["data"].get(SPANDATA.SERVER_PORT) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_PORT", "5432" + ) + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + assert len(insert_spans) == 1 + insert_span = insert_spans[0] + + # Verify query and commit statements are siblings + assert commit_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_no_autocommit_executemany(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + traces_sample_rate=1.0, + ) + + events = capture_events() + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + + transaction.set_autocommit(False) + cursor.executemany(query, query_list) + transaction.commit() + transaction.set_autocommit(True) + + (event,) = events + + # Ensure operation is persisted + assert User.objects.exists() + + assert event["contexts"]["trace"]["origin"] == "manual" + assert event["spans"][0]["origin"] == "auto.db.django" + + commit_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 1 + commit_span = commit_spans[0] + assert commit_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert commit_span["data"].get(SPANDATA.DB_SYSTEM) == "sqlite" + conn_params = connection.get_connection_params() + assert commit_span["data"].get(SPANDATA.DB_NAME) is not None + assert commit_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + + # Verify queries and commit statements are siblings + for insert_span in insert_spans: + assert commit_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_execute(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_atomic")) + + (event,) = events + + # Ensure operation is persisted + assert User.objects.using("postgres").exists() + + assert event["contexts"]["trace"]["origin"] == "auto.http.django" + + commit_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 1 + commit_span = commit_spans[0] + assert commit_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert commit_span["data"].get(SPANDATA.DB_SYSTEM) == "postgresql" + conn_params = connections["postgres"].get_connection_params() + assert commit_span["data"].get(SPANDATA.DB_NAME) is not None + assert commit_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + assert commit_span["data"].get(SPANDATA.SERVER_ADDRESS) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_HOST", "localhost" + ) + assert commit_span["data"].get(SPANDATA.SERVER_PORT) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_PORT", "5432" + ) + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + assert len(insert_spans) == 1 + insert_span = insert_spans[0] + + # Verify query and commit statements are siblings + assert commit_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_executemany(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + send_default_pii=True, + traces_sample_rate=1.0, + ) + + events = capture_events() + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + with transaction.atomic(): + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + cursor.executemany(query, query_list) + + (event,) = events + + # Ensure operation is persisted + assert User.objects.exists() + + assert event["contexts"]["trace"]["origin"] == "manual" + + commit_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + ] + assert len(commit_spans) == 1 + commit_span = commit_spans[0] + assert commit_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert commit_span["data"].get(SPANDATA.DB_SYSTEM) == "sqlite" + conn_params = connection.get_connection_params() + assert commit_span["data"].get(SPANDATA.DB_NAME) is not None + assert commit_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + + # Verify queries and commit statements are siblings + for insert_span in insert_spans: + assert commit_span["parent_span_id"] == insert_span["parent_span_id"] From 5de66e208d041b5ac06150533e52dede3a3e3c07 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Tue, 25 Nov 2025 09:31:44 +0100 Subject: [PATCH 18/51] feat(django): Instrument database rollbacks (#5115) Add spans for SQL rollbacks issued when Django calls `rollback()` on a PEP-249 database connection. Rollback spans are generated for `transaction.atomic` blocks and for manual `transaction.rollback()` calls when auto-commit is disabled. Tests cover both cases, for SQLite and PostgreSQL, respectively. --- sentry_sdk/consts.py | 1 + sentry_sdk/integrations/django/__init__.py | 17 + tests/integrations/django/myapp/urls.py | 15 + tests/integrations/django/myapp/views.py | 41 ++ .../django/test_db_transactions.py | 539 +++++++++++++++++- 5 files changed, 605 insertions(+), 8 deletions(-) diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 339c516508..6faff402d2 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -116,6 +116,7 @@ class INSTRUMENTER: class SPANNAME: DB_COMMIT = "COMMIT" + DB_ROLLBACK = "ROLLBACK" class SPANDATA: diff --git a/sentry_sdk/integrations/django/__init__.py b/sentry_sdk/integrations/django/__init__.py index 95a4fbae9f..c18a03a38c 100644 --- a/sentry_sdk/integrations/django/__init__.py +++ b/sentry_sdk/integrations/django/__init__.py @@ -636,6 +636,7 @@ def install_sql_hook(): real_executemany = CursorWrapper.executemany real_connect = BaseDatabaseWrapper.connect real_commit = BaseDatabaseWrapper._commit + real_rollback = BaseDatabaseWrapper._rollback except AttributeError: # This won't work on Django versions < 1.6 return @@ -708,10 +709,26 @@ def _commit(self): _set_db_data(span, self, SPANNAME.DB_COMMIT) return real_commit(self) + def _rollback(self): + # type: (BaseDatabaseWrapper) -> None + integration = sentry_sdk.get_client().get_integration(DjangoIntegration) + + if integration is None or not integration.db_transaction_spans: + return real_rollback(self) + + with sentry_sdk.start_span( + op=OP.DB, + name=SPANNAME.DB_ROLLBACK, + origin=DjangoIntegration.origin_db, + ) as span: + _set_db_data(span, self, SPANNAME.DB_ROLLBACK) + return real_rollback(self) + CursorWrapper.execute = execute CursorWrapper.executemany = executemany BaseDatabaseWrapper.connect = connect BaseDatabaseWrapper._commit = _commit + BaseDatabaseWrapper._rollback = _rollback ignore_logger("django.db.backends") diff --git a/tests/integrations/django/myapp/urls.py b/tests/integrations/django/myapp/urls.py index 2d39228524..26d5a1bf2c 100644 --- a/tests/integrations/django/myapp/urls.py +++ b/tests/integrations/django/myapp/urls.py @@ -66,11 +66,26 @@ def path(path, *args, **kwargs): views.postgres_insert_orm_no_autocommit, name="postgres_insert_orm_no_autocommit", ), + path( + "postgres-insert-no-autocommit-rollback", + views.postgres_insert_orm_no_autocommit_rollback, + name="postgres_insert_orm_no_autocommit_rollback", + ), path( "postgres-insert-atomic", views.postgres_insert_orm_atomic, name="postgres_insert_orm_atomic", ), + path( + "postgres-insert-atomic-rollback", + views.postgres_insert_orm_atomic_rollback, + name="postgres_insert_orm_atomic_rollback", + ), + path( + "postgres-insert-atomic-exception", + views.postgres_insert_orm_atomic_exception, + name="postgres_insert_orm_atomic_exception", + ), path( "postgres-select-slow-from-supplement", helper_views.postgres_select_orm, diff --git a/tests/integrations/django/myapp/views.py b/tests/integrations/django/myapp/views.py index 4787e631f3..6d199a3740 100644 --- a/tests/integrations/django/myapp/views.py +++ b/tests/integrations/django/myapp/views.py @@ -264,6 +264,23 @@ def postgres_insert_orm_no_autocommit(request, *args, **kwargs): return HttpResponse("ok {}".format(user)) +@csrf_exempt +def postgres_insert_orm_no_autocommit_rollback(request, *args, **kwargs): + transaction.set_autocommit(False, using="postgres") + try: + user = User.objects.db_manager("postgres").create_user( + username="user1", + ) + transaction.rollback(using="postgres") + except Exception: + transaction.rollback(using="postgres") + transaction.set_autocommit(True, using="postgres") + raise + + transaction.set_autocommit(True, using="postgres") + return HttpResponse("ok {}".format(user)) + + @csrf_exempt def postgres_insert_orm_atomic(request, *args, **kwargs): with transaction.atomic(using="postgres"): @@ -273,6 +290,30 @@ def postgres_insert_orm_atomic(request, *args, **kwargs): return HttpResponse("ok {}".format(user)) +@csrf_exempt +def postgres_insert_orm_atomic_rollback(request, *args, **kwargs): + with transaction.atomic(using="postgres"): + user = User.objects.db_manager("postgres").create_user( + username="user1", + ) + transaction.set_rollback(True, using="postgres") + return HttpResponse("ok {}".format(user)) + + +@csrf_exempt +def postgres_insert_orm_atomic_exception(request, *args, **kwargs): + try: + with transaction.atomic(using="postgres"): + user = User.objects.db_manager("postgres").create_user( + username="user1", + ) + transaction.set_rollback(True, using="postgres") + 1 / 0 + except ZeroDivisionError: + pass + return HttpResponse("ok {}".format(user)) + + @csrf_exempt def permission_denied_exc(*args, **kwargs): raise PermissionDenied("bye") diff --git a/tests/integrations/django/test_db_transactions.py b/tests/integrations/django/test_db_transactions.py index f2a1495b43..2750397b0e 100644 --- a/tests/integrations/django/test_db_transactions.py +++ b/tests/integrations/django/test_db_transactions.py @@ -44,6 +44,7 @@ def test_db_transaction_spans_disabled_no_autocommit( events = capture_events() + client.get(reverse("postgres_insert_orm_no_autocommit_rollback")) client.get(reverse("postgres_insert_orm_no_autocommit")) with start_transaction(name="test_transaction"): @@ -81,23 +82,71 @@ def test_db_transaction_spans_disabled_no_autocommit( ), ) + transaction.set_autocommit(False) + cursor.executemany(query, query_list) + transaction.rollback() + transaction.set_autocommit(True) + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + transaction.set_autocommit(False) cursor.executemany(query, query_list) transaction.commit() transaction.set_autocommit(True) - (postgres_spans, sqlite_spans) = events + (postgres_rollback, postgres_commit, sqlite_rollback, sqlite_commit) = events # Ensure operation is persisted assert User.objects.using("postgres").exists() - assert postgres_spans["contexts"]["trace"]["origin"] == "auto.http.django" - assert sqlite_spans["contexts"]["trace"]["origin"] == "manual" + assert postgres_rollback["contexts"]["trace"]["origin"] == "auto.http.django" + assert postgres_commit["contexts"]["trace"]["origin"] == "auto.http.django" + assert sqlite_rollback["contexts"]["trace"]["origin"] == "manual" + assert sqlite_commit["contexts"]["trace"]["origin"] == "manual" commit_spans = [ span - for span in itertools.chain(postgres_spans["spans"], sqlite_spans["spans"]) + for span in itertools.chain( + postgres_rollback["spans"], + postgres_commit["spans"], + sqlite_rollback["spans"], + sqlite_commit["spans"], + ) if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + or span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK ] assert len(commit_spans) == 0 @@ -118,6 +167,7 @@ def test_db_transaction_spans_disabled_atomic(sentry_init, client, capture_event events = capture_events() + client.get(reverse("postgres_insert_orm_atomic_rollback")) client.get(reverse("postgres_insert_orm_atomic")) with start_transaction(name="test_transaction"): @@ -137,6 +187,44 @@ def test_db_transaction_spans_disabled_atomic(sentry_init, client, capture_event is_active, date_joined ) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + cursor.executemany(query, query_list) + transaction.set_rollback(True) + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + with transaction.atomic(): + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" query_list = ( @@ -157,18 +245,26 @@ def test_db_transaction_spans_disabled_atomic(sentry_init, client, capture_event ) cursor.executemany(query, query_list) - (postgres_spans, sqlite_spans) = events + (postgres_rollback, postgres_commit, sqlite_rollback, sqlite_commit) = events # Ensure operation is persisted assert User.objects.using("postgres").exists() - assert postgres_spans["contexts"]["trace"]["origin"] == "auto.http.django" - assert sqlite_spans["contexts"]["trace"]["origin"] == "manual" + assert postgres_rollback["contexts"]["trace"]["origin"] == "auto.http.django" + assert postgres_commit["contexts"]["trace"]["origin"] == "auto.http.django" + assert sqlite_rollback["contexts"]["trace"]["origin"] == "manual" + assert sqlite_commit["contexts"]["trace"]["origin"] == "manual" commit_spans = [ span - for span in itertools.chain(postgres_spans["spans"], sqlite_spans["spans"]) + for span in itertools.chain( + postgres_rollback["spans"], + postgres_commit["spans"], + sqlite_rollback["spans"], + sqlite_commit["spans"], + ) if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_COMMIT + or span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK ] assert len(commit_spans) == 0 @@ -315,6 +411,148 @@ def test_db_no_autocommit_executemany(sentry_init, client, capture_events): assert commit_span["parent_span_id"] == insert_span["parent_span_id"] +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_no_autocommit_rollback_execute(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_no_autocommit_rollback")) + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.using("postgres").exists() + + assert event["contexts"]["trace"]["origin"] == "auto.http.django" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "postgresql" + conn_params = connections["postgres"].get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + assert rollback_span["data"].get(SPANDATA.SERVER_ADDRESS) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_HOST", "localhost" + ) + assert rollback_span["data"].get(SPANDATA.SERVER_PORT) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_PORT", "5432" + ) + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + assert len(insert_spans) == 1 + insert_span = insert_spans[0] + + # Verify query and rollback statements are siblings + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_no_autocommit_rollback_executemany(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + traces_sample_rate=1.0, + ) + + events = capture_events() + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + + transaction.set_autocommit(False) + cursor.executemany(query, query_list) + transaction.rollback() + transaction.set_autocommit(True) + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.exists() + + assert event["contexts"]["trace"]["origin"] == "manual" + assert event["spans"][0]["origin"] == "auto.db.django" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "sqlite" + conn_params = connection.get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + + # Verify queries and rollback statements are siblings + for insert_span in insert_spans: + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] + + @pytest.mark.forked @pytest_mark_django_db_decorator(transaction=True) def test_db_atomic_execute(sentry_init, client, capture_events): @@ -452,3 +690,288 @@ def test_db_atomic_executemany(sentry_init, client, capture_events): # Verify queries and commit statements are siblings for insert_span in insert_spans: assert commit_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_rollback_execute(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + send_default_pii=True, + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_atomic_rollback")) + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.using("postgres").exists() + + assert event["contexts"]["trace"]["origin"] == "auto.http.django" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "postgresql" + conn_params = connections["postgres"].get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + assert rollback_span["data"].get(SPANDATA.SERVER_ADDRESS) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_HOST", "localhost" + ) + assert rollback_span["data"].get(SPANDATA.SERVER_PORT) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_PORT", "5432" + ) + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + assert len(insert_spans) == 1 + insert_span = insert_spans[0] + + # Verify query and rollback statements are siblings + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_rollback_executemany(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + send_default_pii=True, + traces_sample_rate=1.0, + ) + + events = capture_events() + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + with transaction.atomic(): + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + cursor.executemany(query, query_list) + transaction.set_rollback(True) + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.exists() + + assert event["contexts"]["trace"]["origin"] == "manual" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "sqlite" + conn_params = connection.get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + + # Verify queries and rollback statements are siblings + for insert_span in insert_spans: + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_execute_exception(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + send_default_pii=True, + traces_sample_rate=1.0, + ) + + if "postgres" not in connections: + pytest.skip("postgres tests disabled") + + # trigger Django to open a new connection by marking the existing one as None. + connections["postgres"].connection = None + + events = capture_events() + + client.get(reverse("postgres_insert_orm_atomic_exception")) + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.using("postgres").exists() + + assert event["contexts"]["trace"]["origin"] == "auto.http.django" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "postgresql" + conn_params = connections["postgres"].get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + assert rollback_span["data"].get(SPANDATA.SERVER_ADDRESS) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_HOST", "localhost" + ) + assert rollback_span["data"].get(SPANDATA.SERVER_PORT) == os.environ.get( + "SENTRY_PYTHON_TEST_POSTGRES_PORT", "5432" + ) + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + assert len(insert_spans) == 1 + insert_span = insert_spans[0] + + # Verify query and rollback statements are siblings + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] + + +@pytest.mark.forked +@pytest_mark_django_db_decorator(transaction=True) +def test_db_atomic_executemany_exception(sentry_init, client, capture_events): + sentry_init( + integrations=[DjangoIntegration(db_transaction_spans=True)], + send_default_pii=True, + traces_sample_rate=1.0, + ) + + events = capture_events() + + with start_transaction(name="test_transaction"): + from django.db import connection, transaction + + try: + with transaction.atomic(): + cursor = connection.cursor() + + query = """INSERT INTO auth_user ( + password, + is_superuser, + username, + first_name, + last_name, + email, + is_staff, + is_active, + date_joined +) +VALUES ('password', false, %s, %s, %s, %s, false, true, %s);""" + + query_list = ( + ( + "user1", + "John", + "Doe", + "user1@example.com", + datetime(1970, 1, 1), + ), + ( + "user2", + "Max", + "Mustermann", + "user2@example.com", + datetime(1970, 1, 1), + ), + ) + cursor.executemany(query, query_list) + 1 / 0 + except ZeroDivisionError: + pass + + (event,) = events + + # Ensure operation is rolled back + assert not User.objects.exists() + + assert event["contexts"]["trace"]["origin"] == "manual" + + rollback_spans = [ + span + for span in event["spans"] + if span["data"].get(SPANDATA.DB_OPERATION) == SPANNAME.DB_ROLLBACK + ] + assert len(rollback_spans) == 1 + rollback_span = rollback_spans[0] + assert rollback_span["origin"] == "auto.db.django" + + # Verify other database attributes + assert rollback_span["data"].get(SPANDATA.DB_SYSTEM) == "sqlite" + conn_params = connection.get_connection_params() + assert rollback_span["data"].get(SPANDATA.DB_NAME) is not None + assert rollback_span["data"].get(SPANDATA.DB_NAME) == conn_params.get( + "database" + ) or conn_params.get("dbname") + + insert_spans = [ + span for span in event["spans"] if span["description"].startswith("INSERT INTO") + ] + + # Verify queries and rollback statements are siblings + for insert_span in insert_spans: + assert rollback_span["parent_span_id"] == insert_span["parent_span_id"] From eb98edf1190560f5ff0400595ae19b0f4547e190 Mon Sep 17 00:00:00 2001 From: Sergii Kalinchuk Date: Tue, 25 Nov 2025 10:59:11 +0200 Subject: [PATCH 19/51] fix(ai): Handle Pydantic model classes in _normalize_data (#5143) ### Description Previously, `_normalize_data()` would attempt to call `model_dump()` on Pydantic model classes (types) when they were passed as arguments, which would fail. This commonly occurs when model classes are used in schema definitions, such as when passing response format schemas to AI SDKs. This change adds an `inspect.isclass()` check to detect when a class type is passed instead of an instance. For classes, we now return a string representation `""` instead of attempting to call `model_dump()`. **Changes:** - Added `inspect` import to `sentry_sdk/ai/utils.py` - Added class type detection in `_normalize_data()` before calling `model_dump()` - Added comprehensive test coverage for both class types and instances in `tests/utils/test_general.py` **Behavior:** - Pydantic model **instances**: Still normalized via `model_dump()` (existing behavior) - Pydantic model **classes**: Now serialized as `""` (new behavior) - Mixed data structures: Classes within dicts/lists are properly handled #### Issues --------- Co-authored-by: Ivana Kellyer --- sentry_sdk/ai/utils.py | 6 ++++++ tests/utils/test_general.py | 27 +++++++++++++++++++++++++++ 2 files changed, 33 insertions(+) diff --git a/sentry_sdk/ai/utils.py b/sentry_sdk/ai/utils.py index 06c9a23604..9a1853110f 100644 --- a/sentry_sdk/ai/utils.py +++ b/sentry_sdk/ai/utils.py @@ -1,3 +1,4 @@ +import inspect import json from collections import deque from typing import TYPE_CHECKING @@ -38,6 +39,11 @@ def _normalize_data(data, unpack=True): # type: (Any, bool) -> Any # convert pydantic data (e.g. OpenAI v1+) to json compatible format if hasattr(data, "model_dump"): + # Check if it's a class (type) rather than an instance + # Model classes can be passed as arguments (e.g., for schema definitions) + if inspect.isclass(data): + return f"" + try: return _normalize_data(data.model_dump(), unpack=unpack) except Exception as e: diff --git a/tests/utils/test_general.py b/tests/utils/test_general.py index 03182495de..04e82b8c5c 100644 --- a/tests/utils/test_general.py +++ b/tests/utils/test_general.py @@ -2,6 +2,7 @@ import os import pytest +from sentry_sdk.ai.utils import _normalize_data from sentry_sdk.utils import ( @@ -621,3 +622,29 @@ def test_failed_base64_conversion(input): ) def test_strip_string(input, max_length, result): assert strip_string(input, max_length) == result + + +def test_normalize_data_with_pydantic_class(): + """Test that _normalize_data handles Pydantic model classes""" + + class TestClass: + name: str = None + + def __init__(self, name: str): + self.name = name + + def model_dump(self): + return {"name": self.name} + + # Test with class (should NOT call model_dump()) + result = _normalize_data(TestClass) + assert result == "" + + # Test with instance (should call model_dump()) + instance = TestClass(name="test") + result = _normalize_data(instance) + assert result == {"name": "test"} + + # Test with dict containing class + result = _normalize_data({"schema": TestClass, "count": 5}) + assert result == {"schema": "", "count": 5} From 7e06f3f6f42567f1b3410d0622424241daca5c6b Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Tue, 25 Nov 2025 16:11:55 +0100 Subject: [PATCH 20/51] feat: Add an initial changelog config (#5145) ### Description Craft will support generating changelogs from PR labels in https://github.com/getsentry/craft/pull/628. Add an initial config for our repo. #### Issues #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- .github/release.yml | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 .github/release.yml diff --git a/.github/release.yml b/.github/release.yml new file mode 100644 index 0000000000..f17b69c0d1 --- /dev/null +++ b/.github/release.yml @@ -0,0 +1,26 @@ +changelog: + exclude: + labels: + - skip-changelog + authors: + - dependabot + categories: + - title: New Features ✨ + labels: + - "Changelog: Feature" + - Feature + - Improvement + - New Integration + - title: Bug Fixes 🐛 + labels: + - "Changelog: Bugfix" + - Bug + - title: Documentation 📚 + labels: + - "Changelog: Docs" + - Docs + - "Component: Docs" + - title: Internal Changes 🔧 + labels: + - "Changelog: Internal" + - Quality Improvement From adab5acea4f4fbd88ec7ae15c0f4d7c4a51fb699 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Tue, 25 Nov 2025 16:48:16 +0100 Subject: [PATCH 21/51] Remove unsupported SPANSTATUS.(ERROR|UNSET) (#5146) ### Description The new `ERROR` and `UNSET` statuses introduced in #4820 are [not supported by relay](https://github.com/getsentry/relay/blob/8e6c963cdd79dc9ba2bebc21518a3553f70feeb3/relay-base-schema/src/spans.rs#L19-L94) and caused a regression. #### Issues * resolves: #5060 * resolves: PY-1961 --- sentry_sdk/consts.py | 4 +--- sentry_sdk/integrations/anthropic.py | 4 ++-- sentry_sdk/integrations/google_genai/__init__.py | 8 ++++---- .../integrations/openai_agents/spans/execute_tool.py | 2 +- sentry_sdk/integrations/openai_agents/utils.py | 2 +- sentry_sdk/tracing.py | 3 +-- sentry_sdk/tracing_utils.py | 8 ++++---- tests/integrations/anthropic/test_anthropic.py | 12 ++++++------ tests/integrations/cohere/test_cohere.py | 4 ++-- .../huggingface_hub/test_huggingface_hub.py | 6 +++--- tests/integrations/langchain/test_langchain.py | 4 ++-- tests/integrations/openai/test_openai.py | 4 ++-- .../integrations/openai_agents/test_openai_agents.py | 10 +++++----- 13 files changed, 34 insertions(+), 37 deletions(-) diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 6faff402d2..3d719401fe 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -864,12 +864,11 @@ class SPANSTATUS: CANCELLED = "cancelled" DATA_LOSS = "data_loss" DEADLINE_EXCEEDED = "deadline_exceeded" - ERROR = "error" # OTel status code: https://opentelemetry.io/docs/concepts/signals/traces/#span-status FAILED_PRECONDITION = "failed_precondition" INTERNAL_ERROR = "internal_error" INVALID_ARGUMENT = "invalid_argument" NOT_FOUND = "not_found" - OK = "ok" # HTTP 200 and OTel status code: https://opentelemetry.io/docs/concepts/signals/traces/#span-status + OK = "ok" OUT_OF_RANGE = "out_of_range" PERMISSION_DENIED = "permission_denied" RESOURCE_EXHAUSTED = "resource_exhausted" @@ -877,7 +876,6 @@ class SPANSTATUS: UNAVAILABLE = "unavailable" UNIMPLEMENTED = "unimplemented" UNKNOWN_ERROR = "unknown_error" - UNSET = "unset" # OTel status code: https://opentelemetry.io/docs/concepts/signals/traces/#span-status class OP: diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py index e252ab2424..232b6aab83 100644 --- a/sentry_sdk/integrations/anthropic.py +++ b/sentry_sdk/integrations/anthropic.py @@ -381,7 +381,7 @@ def _sentry_patched_create_sync(*args, **kwargs): return _execute_sync(f, *args, **kwargs) finally: span = sentry_sdk.get_current_span() - if span is not None and span.status == SPANSTATUS.ERROR: + if span is not None and span.status == SPANSTATUS.INTERNAL_ERROR: with capture_internal_exceptions(): span.__exit__(None, None, None) @@ -420,7 +420,7 @@ async def _sentry_patched_create_async(*args, **kwargs): return await _execute_async(f, *args, **kwargs) finally: span = sentry_sdk.get_current_span() - if span is not None and span.status == SPANSTATUS.ERROR: + if span is not None and span.status == SPANSTATUS.INTERNAL_ERROR: with capture_internal_exceptions(): span.__exit__(None, None, None) diff --git a/sentry_sdk/integrations/google_genai/__init__.py b/sentry_sdk/integrations/google_genai/__init__.py index 8f2d5df477..7f7873a119 100644 --- a/sentry_sdk/integrations/google_genai/__init__.py +++ b/sentry_sdk/integrations/google_genai/__init__.py @@ -107,7 +107,7 @@ def new_iterator(): yield chunk except Exception as exc: _capture_exception(exc) - chat_span.set_status(SPANSTATUS.ERROR) + chat_span.set_status(SPANSTATUS.INTERNAL_ERROR) raise finally: # Accumulate all chunks and set final response data on spans @@ -181,7 +181,7 @@ async def new_async_iterator(): yield chunk except Exception as exc: _capture_exception(exc) - chat_span.set_status(SPANSTATUS.ERROR) + chat_span.set_status(SPANSTATUS.INTERNAL_ERROR) raise finally: # Accumulate all chunks and set final response data on spans @@ -244,7 +244,7 @@ def new_generate_content(self, *args, **kwargs): response = f(self, *args, **kwargs) except Exception as exc: _capture_exception(exc) - chat_span.set_status(SPANSTATUS.ERROR) + chat_span.set_status(SPANSTATUS.INTERNAL_ERROR) raise set_span_data_for_response(chat_span, integration, response) @@ -290,7 +290,7 @@ async def new_async_generate_content(self, *args, **kwargs): response = await f(self, *args, **kwargs) except Exception as exc: _capture_exception(exc) - chat_span.set_status(SPANSTATUS.ERROR) + chat_span.set_status(SPANSTATUS.INTERNAL_ERROR) raise set_span_data_for_response(chat_span, integration, response) diff --git a/sentry_sdk/integrations/openai_agents/spans/execute_tool.py b/sentry_sdk/integrations/openai_agents/spans/execute_tool.py index ad70762cd0..5f9e4cb340 100644 --- a/sentry_sdk/integrations/openai_agents/spans/execute_tool.py +++ b/sentry_sdk/integrations/openai_agents/spans/execute_tool.py @@ -42,7 +42,7 @@ def update_execute_tool_span(span, agent, tool, result): if isinstance(result, str) and result.startswith( "An error occurred while running the tool" ): - span.set_status(SPANSTATUS.ERROR) + span.set_status(SPANSTATUS.INTERNAL_ERROR) if should_send_default_pii(): span.set_data(SPANDATA.GEN_AI_TOOL_OUTPUT, result) diff --git a/sentry_sdk/integrations/openai_agents/utils.py b/sentry_sdk/integrations/openai_agents/utils.py index 125ff1175b..cc7c38553e 100644 --- a/sentry_sdk/integrations/openai_agents/utils.py +++ b/sentry_sdk/integrations/openai_agents/utils.py @@ -196,4 +196,4 @@ def _create_mcp_execute_tool_spans(span, result): SPANDATA.GEN_AI_TOOL_OUTPUT, output.output ) if output.error: - execute_tool_span.set_status(SPANSTATUS.ERROR) + execute_tool_span.set_status(SPANSTATUS.INTERNAL_ERROR) diff --git a/sentry_sdk/tracing.py b/sentry_sdk/tracing.py index 0d652e490a..7369afb420 100644 --- a/sentry_sdk/tracing.py +++ b/sentry_sdk/tracing.py @@ -408,8 +408,7 @@ def __enter__(self): def __exit__(self, ty, value, tb): # type: (Optional[Any], Optional[Any], Optional[Any]) -> None if value is not None and should_be_treated_as_error(ty, value): - if self.status != SPANSTATUS.ERROR: - self.set_status(SPANSTATUS.INTERNAL_ERROR) + self.set_status(SPANSTATUS.INTERNAL_ERROR) with capture_internal_exceptions(): scope, old_span = self._context_manager_state diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index 6506cca266..a71e0c3b2b 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -933,14 +933,14 @@ def get_current_span(scope=None): def set_span_errored(span=None): # type: (Optional[Span]) -> None """ - Set the status of the current or given span to ERROR. - Also sets the status of the transaction (root span) to ERROR. + Set the status of the current or given span to INTERNAL_ERROR. + Also sets the status of the transaction (root span) to INTERNAL_ERROR. """ span = span or get_current_span() if span is not None: - span.set_status(SPANSTATUS.ERROR) + span.set_status(SPANSTATUS.INTERNAL_ERROR) if span.containing_transaction is not None: - span.containing_transaction.set_status(SPANSTATUS.ERROR) + span.containing_transaction.set_status(SPANSTATUS.INTERNAL_ERROR) def _generate_sample_rand( diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py index f7c2d7e8a7..d4941ad0f4 100644 --- a/tests/integrations/anthropic/test_anthropic.py +++ b/tests/integrations/anthropic/test_anthropic.py @@ -701,7 +701,7 @@ def test_exception_message_create(sentry_init, capture_events): (event, transaction) = events assert event["level"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" def test_span_status_error(sentry_init, capture_events): @@ -722,8 +722,8 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.asyncio @@ -745,8 +745,8 @@ async def test_span_status_error_async(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.asyncio @@ -767,7 +767,7 @@ async def test_exception_message_create_async(sentry_init, capture_events): (event, transaction) = events assert event["level"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" def test_span_origin(sentry_init, capture_events): diff --git a/tests/integrations/cohere/test_cohere.py b/tests/integrations/cohere/test_cohere.py index a97d2befae..3d9ed0722e 100644 --- a/tests/integrations/cohere/test_cohere.py +++ b/tests/integrations/cohere/test_cohere.py @@ -181,8 +181,8 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.parametrize( diff --git a/tests/integrations/huggingface_hub/test_huggingface_hub.py b/tests/integrations/huggingface_hub/test_huggingface_hub.py index ffeb6acbb5..e15c75cb6a 100644 --- a/tests/integrations/huggingface_hub/test_huggingface_hub.py +++ b/tests/integrations/huggingface_hub/test_huggingface_hub.py @@ -792,7 +792,7 @@ def test_chat_completion_api_error( assert span["op"] == "gen_ai.chat" assert span["description"] == "chat test-model" assert span["origin"] == "auto.ai.huggingface_hub" - assert span.get("tags", {}).get("status") == "error" + assert span.get("tags", {}).get("status") == "internal_error" assert ( error["contexts"]["trace"]["trace_id"] @@ -835,9 +835,9 @@ def test_span_status_error(sentry_init, capture_events, mock_hf_api_with_errors) assert sp["op"] == "http.client" assert span is not None - assert span["tags"]["status"] == "error" + assert span["tags"]["status"] == "internal_error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.httpx_mock(assert_all_requests_were_expected=False) diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index 59e9d719e4..d0d4e62941 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -347,8 +347,8 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" def test_span_origin(sentry_init, capture_events): diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py index febec5a80d..604480702f 100644 --- a/tests/integrations/openai/test_openai.py +++ b/tests/integrations/openai/test_openai.py @@ -440,8 +440,8 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.asyncio diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index 6ff29271c3..46197ae855 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -724,8 +724,8 @@ async def test_span_status_error(sentry_init, capture_events, test_agent): (error, transaction) = events assert error["level"] == "error" - assert transaction["spans"][0]["tags"]["status"] == "error" - assert transaction["contexts"]["trace"]["status"] == "error" + assert transaction["spans"][0]["tags"]["status"] == "internal_error" + assert transaction["contexts"]["trace"]["status"] == "internal_error" @pytest.mark.asyncio @@ -827,7 +827,7 @@ async def test_mcp_tool_execution_spans(sentry_init, capture_events, test_agent) ) # Verify no error status since error was None - assert mcp_tool_span.get("tags", {}).get("status") != "error" + assert mcp_tool_span.get("tags", {}).get("status") != "internal_error" @pytest.mark.asyncio @@ -927,7 +927,7 @@ async def test_mcp_tool_execution_with_error(sentry_init, capture_events, test_a assert mcp_tool_span["data"]["gen_ai.tool.output"] is None # Verify error status was set - assert mcp_tool_span["tags"]["status"] == "error" + assert mcp_tool_span["tags"]["status"] == "internal_error" @pytest.mark.asyncio @@ -1218,4 +1218,4 @@ def failing_tool(message: str) -> str: # Verify error status was set (this is the key test for our patch) # The span should be marked as error because the tool execution failed - assert execute_tool_span["tags"]["status"] == "error" + assert execute_tool_span["tags"]["status"] == "internal_error" From 7b7ea33fb0c1102d66f313aa50659e859dd86fff Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Wed, 26 Nov 2025 09:00:45 +0100 Subject: [PATCH 22/51] ci: Split up Test AI workflow (#5148) Split off test suites from the Test AI workflow, resulting in three new workflows. Test MCP runs MCP related tests, Test Agents runs tests for agent frameworks, and Test AI Workflow runs `langchain` and `langgraph` tests. --- .../workflows/test-integrations-agents.yml | 98 +++++++++++++++++ .../test-integrations-ai-workflow.yml | 102 ++++++++++++++++++ .github/workflows/test-integrations-ai.yml | 28 ----- .github/workflows/test-integrations-mcp.yml | 98 +++++++++++++++++ .../split_tox_gh_actions.py | 20 ++-- .../templates/test_group.jinja | 4 +- 6 files changed, 313 insertions(+), 37 deletions(-) create mode 100644 .github/workflows/test-integrations-agents.yml create mode 100644 .github/workflows/test-integrations-ai-workflow.yml create mode 100644 .github/workflows/test-integrations-mcp.yml diff --git a/.github/workflows/test-integrations-agents.yml b/.github/workflows/test-integrations-agents.yml new file mode 100644 index 0000000000..5a7f7a057b --- /dev/null +++ b/.github/workflows/test-integrations-agents.yml @@ -0,0 +1,98 @@ +# Do not edit this YAML file. This file is generated automatically by executing +# python scripts/split_tox_gh_actions/split_tox_gh_actions.py +# The template responsible for it is in +# scripts/split_tox_gh_actions/templates/base.jinja +name: Test Agents +on: + push: + branches: + - master + - release/** + - major/** + pull_request: +# Cancel in progress workflows on pull_requests. +# https://docs.github.com/en/actions/using-jobs/using-concurrency#example-using-a-fallback-value +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} + cancel-in-progress: true +permissions: + contents: read +env: + BUILD_CACHE_KEY: ${{ github.sha }} + CACHED_BUILD_PATHS: | + ${{ github.workspace }}/dist-serverless +jobs: + test-agents: + name: Agents + timeout-minutes: 30 + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + python-version: ["3.10","3.11","3.12","3.13","3.14","3.14t"] + # python3.6 reached EOL and is no longer being supported on + # new versions of hosted runners on Github Actions + # ubuntu-20.04 is the last version that supported python3.6 + # see https://github.com/actions/setup-python/issues/544#issuecomment-1332535877 + os: [ubuntu-22.04] + # Use Docker container only for Python 3.6 + container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} + steps: + - uses: actions/checkout@v6.0.0 + - uses: actions/setup-python@v6 + if: ${{ matrix.python-version != '3.6' }} + with: + python-version: ${{ matrix.python-version }} + allow-prereleases: true + - name: Setup Test Env + run: | + pip install "coverage[toml]" tox + - name: Erase coverage + run: | + coverage erase + - name: Test openai_agents + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-openai_agents" + - name: Test pydantic_ai + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-pydantic_ai" + - name: Generate coverage XML (Python 3.6) + if: ${{ !cancelled() && matrix.python-version == '3.6' }} + run: | + export COVERAGE_RCFILE=.coveragerc36 + coverage combine .coverage-sentry-* + coverage xml --ignore-errors + - name: Generate coverage XML + if: ${{ !cancelled() && matrix.python-version != '3.6' }} + run: | + coverage combine .coverage-sentry-* + coverage xml + - name: Upload coverage to Codecov + if: ${{ !cancelled() }} + uses: codecov/codecov-action@v5.5.1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: coverage.xml + # make sure no plugins alter our coverage reports + plugins: noop + verbose: true + - name: Upload test results to Codecov + if: ${{ !cancelled() }} + uses: codecov/test-results-action@v1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: .junitxml + verbose: true + check_required_tests: + name: All Agents tests passed + needs: test-agents + # Always run this, even if a dependent job failed + if: always() + runs-on: ubuntu-22.04 + steps: + - name: Check for failures + if: needs.test-agents.result != 'success' + run: | + echo "One of the dependent jobs has failed. You may need to re-run it." && exit 1 diff --git a/.github/workflows/test-integrations-ai-workflow.yml b/.github/workflows/test-integrations-ai-workflow.yml new file mode 100644 index 0000000000..cc7aaef9ad --- /dev/null +++ b/.github/workflows/test-integrations-ai-workflow.yml @@ -0,0 +1,102 @@ +# Do not edit this YAML file. This file is generated automatically by executing +# python scripts/split_tox_gh_actions/split_tox_gh_actions.py +# The template responsible for it is in +# scripts/split_tox_gh_actions/templates/base.jinja +name: Test AI Workflow +on: + push: + branches: + - master + - release/** + - major/** + pull_request: +# Cancel in progress workflows on pull_requests. +# https://docs.github.com/en/actions/using-jobs/using-concurrency#example-using-a-fallback-value +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} + cancel-in-progress: true +permissions: + contents: read +env: + BUILD_CACHE_KEY: ${{ github.sha }} + CACHED_BUILD_PATHS: | + ${{ github.workspace }}/dist-serverless +jobs: + test-ai_workflow: + name: AI Workflow + timeout-minutes: 30 + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + python-version: ["3.9","3.10","3.11","3.12","3.13","3.14"] + # python3.6 reached EOL and is no longer being supported on + # new versions of hosted runners on Github Actions + # ubuntu-20.04 is the last version that supported python3.6 + # see https://github.com/actions/setup-python/issues/544#issuecomment-1332535877 + os: [ubuntu-22.04] + # Use Docker container only for Python 3.6 + container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} + steps: + - uses: actions/checkout@v6.0.0 + - uses: actions/setup-python@v6 + if: ${{ matrix.python-version != '3.6' }} + with: + python-version: ${{ matrix.python-version }} + allow-prereleases: true + - name: Setup Test Env + run: | + pip install "coverage[toml]" tox + - name: Erase coverage + run: | + coverage erase + - name: Test langchain-base + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-langchain-base" + - name: Test langchain-notiktoken + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-langchain-notiktoken" + - name: Test langgraph + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-langgraph" + - name: Generate coverage XML (Python 3.6) + if: ${{ !cancelled() && matrix.python-version == '3.6' }} + run: | + export COVERAGE_RCFILE=.coveragerc36 + coverage combine .coverage-sentry-* + coverage xml --ignore-errors + - name: Generate coverage XML + if: ${{ !cancelled() && matrix.python-version != '3.6' }} + run: | + coverage combine .coverage-sentry-* + coverage xml + - name: Upload coverage to Codecov + if: ${{ !cancelled() }} + uses: codecov/codecov-action@v5.5.1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: coverage.xml + # make sure no plugins alter our coverage reports + plugins: noop + verbose: true + - name: Upload test results to Codecov + if: ${{ !cancelled() }} + uses: codecov/test-results-action@v1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: .junitxml + verbose: true + check_required_tests: + name: All AI Workflow tests passed + needs: test-ai_workflow + # Always run this, even if a dependent job failed + if: always() + runs-on: ubuntu-22.04 + steps: + - name: Check for failures + if: needs.test-ai_workflow.result != 'success' + run: | + echo "One of the dependent jobs has failed. You may need to re-run it." && exit 1 diff --git a/.github/workflows/test-integrations-ai.yml b/.github/workflows/test-integrations-ai.yml index de25fb3e84..84884397a0 100644 --- a/.github/workflows/test-integrations-ai.yml +++ b/.github/workflows/test-integrations-ai.yml @@ -66,30 +66,10 @@ jobs: run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-huggingface_hub" - - name: Test langchain-base - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-langchain-base" - - name: Test langchain-notiktoken - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-langchain-notiktoken" - - name: Test langgraph - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-langgraph" - name: Test litellm run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-litellm" - - name: Test mcp - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-mcp" - - name: Test fastmcp - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-fastmcp" - name: Test openai-base run: | set -x # print commands that are executed @@ -98,14 +78,6 @@ jobs: run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-openai-notiktoken" - - name: Test openai_agents - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-openai_agents" - - name: Test pydantic_ai - run: | - set -x # print commands that are executed - ./scripts/runtox.sh "py${{ matrix.python-version }}-pydantic_ai" - name: Generate coverage XML (Python 3.6) if: ${{ !cancelled() && matrix.python-version == '3.6' }} run: | diff --git a/.github/workflows/test-integrations-mcp.yml b/.github/workflows/test-integrations-mcp.yml new file mode 100644 index 0000000000..3758beda17 --- /dev/null +++ b/.github/workflows/test-integrations-mcp.yml @@ -0,0 +1,98 @@ +# Do not edit this YAML file. This file is generated automatically by executing +# python scripts/split_tox_gh_actions/split_tox_gh_actions.py +# The template responsible for it is in +# scripts/split_tox_gh_actions/templates/base.jinja +name: Test MCP +on: + push: + branches: + - master + - release/** + - major/** + pull_request: +# Cancel in progress workflows on pull_requests. +# https://docs.github.com/en/actions/using-jobs/using-concurrency#example-using-a-fallback-value +concurrency: + group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }} + cancel-in-progress: true +permissions: + contents: read +env: + BUILD_CACHE_KEY: ${{ github.sha }} + CACHED_BUILD_PATHS: | + ${{ github.workspace }}/dist-serverless +jobs: + test-mcp: + name: MCP + timeout-minutes: 30 + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + python-version: ["3.10","3.12","3.13","3.14","3.14t"] + # python3.6 reached EOL and is no longer being supported on + # new versions of hosted runners on Github Actions + # ubuntu-20.04 is the last version that supported python3.6 + # see https://github.com/actions/setup-python/issues/544#issuecomment-1332535877 + os: [ubuntu-22.04] + # Use Docker container only for Python 3.6 + container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }} + steps: + - uses: actions/checkout@v6.0.0 + - uses: actions/setup-python@v6 + if: ${{ matrix.python-version != '3.6' }} + with: + python-version: ${{ matrix.python-version }} + allow-prereleases: true + - name: Setup Test Env + run: | + pip install "coverage[toml]" tox + - name: Erase coverage + run: | + coverage erase + - name: Test mcp + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-mcp" + - name: Test fastmcp + run: | + set -x # print commands that are executed + ./scripts/runtox.sh "py${{ matrix.python-version }}-fastmcp" + - name: Generate coverage XML (Python 3.6) + if: ${{ !cancelled() && matrix.python-version == '3.6' }} + run: | + export COVERAGE_RCFILE=.coveragerc36 + coverage combine .coverage-sentry-* + coverage xml --ignore-errors + - name: Generate coverage XML + if: ${{ !cancelled() && matrix.python-version != '3.6' }} + run: | + coverage combine .coverage-sentry-* + coverage xml + - name: Upload coverage to Codecov + if: ${{ !cancelled() }} + uses: codecov/codecov-action@v5.5.1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: coverage.xml + # make sure no plugins alter our coverage reports + plugins: noop + verbose: true + - name: Upload test results to Codecov + if: ${{ !cancelled() }} + uses: codecov/test-results-action@v1 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: .junitxml + verbose: true + check_required_tests: + name: All MCP tests passed + needs: test-mcp + # Always run this, even if a dependent job failed + if: always() + runs-on: ubuntu-22.04 + steps: + - name: Check for failures + if: needs.test-mcp.result != 'success' + run: | + echo "One of the dependent jobs has failed. You may need to re-run it." && exit 1 diff --git a/scripts/split_tox_gh_actions/split_tox_gh_actions.py b/scripts/split_tox_gh_actions/split_tox_gh_actions.py index 291452dea0..a8a2ab26af 100755 --- a/scripts/split_tox_gh_actions/split_tox_gh_actions.py +++ b/scripts/split_tox_gh_actions/split_tox_gh_actions.py @@ -69,21 +69,27 @@ "Common": [ "common", ], + "MCP": [ + "mcp", + "fastmcp", + ], + "Agents": [ + "openai_agents", + "pydantic_ai", + ], + "AI Workflow": [ + "langchain-base", + "langchain-notiktoken", + "langgraph", + ], "AI": [ "anthropic", "cohere", "google_genai", "huggingface_hub", - "langchain-base", - "langchain-notiktoken", - "langgraph", "litellm", - "mcp", - "fastmcp", "openai-base", "openai-notiktoken", - "openai_agents", - "pydantic_ai", ], "Cloud": [ "aws_lambda", diff --git a/scripts/split_tox_gh_actions/templates/test_group.jinja b/scripts/split_tox_gh_actions/templates/test_group.jinja index 59369265b3..10ef7cfec3 100644 --- a/scripts/split_tox_gh_actions/templates/test_group.jinja +++ b/scripts/split_tox_gh_actions/templates/test_group.jinja @@ -42,7 +42,7 @@ # Use Docker container only for Python 3.6 {% raw %}container: ${{ matrix.python-version == '3.6' && 'python:3.6' || null }}{% endraw %} steps: - - uses: actions/checkout@v5.0.0 + - uses: actions/checkout@v6.0.0 - uses: actions/setup-python@v6 {% raw %}if: ${{ matrix.python-version != '3.6' }}{% endraw %} with: @@ -56,7 +56,7 @@ {% if needs_redis %} - name: Start Redis - uses: supercharge/redis-github-action@1.8.0 + uses: supercharge/redis-github-action@1.8.1 {% endif %} {% if needs_java %} From c720febf2e592b3a8316041f612d8c56dd3afe05 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Wed, 26 Nov 2025 13:01:34 +0100 Subject: [PATCH 23/51] Add back span status (#5147) ### Description For some reason since Performance was implemented ages ago, we were not sending the `span.status` field at all. Add it back since we are moving to a Span-First world and Agent Monitoring also expects span statuses to be correct for some product features. Some other notes regarding the status mess: * the transaction status is added to the `trace_context` - this is fine * the span status is also added as a tag, this should be removed in a major since it's redundant * `set_http_status` further adds another tag called `http.status_code`, remove this in the major too #### Issues * resolves: #5059 * resolves: PY-1960 --- sentry_sdk/tracing.py | 4 +++- tests/integrations/anthropic/test_anthropic.py | 2 ++ tests/integrations/cohere/test_cohere.py | 1 + tests/integrations/huggingface_hub/test_huggingface_hub.py | 2 ++ tests/integrations/langchain/test_langchain.py | 1 + tests/integrations/langgraph/test_langgraph.py | 2 ++ tests/integrations/mcp/test_mcp.py | 1 + tests/integrations/openai/test_openai.py | 1 + tests/integrations/openai_agents/test_openai_agents.py | 6 ++++++ tests/integrations/pymongo/test_pymongo.py | 3 +++ tests/tracing/test_integration_tests.py | 4 ++++ 11 files changed, 26 insertions(+), 1 deletion(-) diff --git a/sentry_sdk/tracing.py b/sentry_sdk/tracing.py index 7369afb420..f0d24ddb39 100644 --- a/sentry_sdk/tracing.py +++ b/sentry_sdk/tracing.py @@ -666,7 +666,7 @@ def set_http_status(self, http_status): # type: (int) -> None self.set_tag( "http.status_code", str(http_status) - ) # we keep this for backwards compatibility + ) # TODO-neel remove in major, we keep this for backwards compatibility self.set_data(SPANDATA.HTTP_STATUS_CODE, http_status) self.set_status(get_span_status_from_http_code(http_status)) @@ -729,6 +729,8 @@ def to_json(self): } # type: Dict[str, Any] if self.status: + rv["status"] = self.status + # TODO-neel remove redundant tag in major self._tags["status"] = self.status if len(self._measurements) > 0: diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py index d4941ad0f4..1fe2ff5d28 100644 --- a/tests/integrations/anthropic/test_anthropic.py +++ b/tests/integrations/anthropic/test_anthropic.py @@ -722,6 +722,7 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" @@ -745,6 +746,7 @@ async def test_span_status_error_async(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" diff --git a/tests/integrations/cohere/test_cohere.py b/tests/integrations/cohere/test_cohere.py index 3d9ed0722e..9ff56ed697 100644 --- a/tests/integrations/cohere/test_cohere.py +++ b/tests/integrations/cohere/test_cohere.py @@ -181,6 +181,7 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" diff --git a/tests/integrations/huggingface_hub/test_huggingface_hub.py b/tests/integrations/huggingface_hub/test_huggingface_hub.py index e15c75cb6a..f0af26395a 100644 --- a/tests/integrations/huggingface_hub/test_huggingface_hub.py +++ b/tests/integrations/huggingface_hub/test_huggingface_hub.py @@ -792,6 +792,7 @@ def test_chat_completion_api_error( assert span["op"] == "gen_ai.chat" assert span["description"] == "chat test-model" assert span["origin"] == "auto.ai.huggingface_hub" + assert span["status"] == "internal_error" assert span.get("tags", {}).get("status") == "internal_error" assert ( @@ -835,6 +836,7 @@ def test_span_status_error(sentry_init, capture_events, mock_hf_api_with_errors) assert sp["op"] == "http.client" assert span is not None + assert span["status"] == "internal_error" assert span["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index d0d4e62941..9f74e5f47c 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -347,6 +347,7 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" diff --git a/tests/integrations/langgraph/test_langgraph.py b/tests/integrations/langgraph/test_langgraph.py index 7cb86a5b03..df574dd2c3 100644 --- a/tests/integrations/langgraph/test_langgraph.py +++ b/tests/integrations/langgraph/test_langgraph.py @@ -403,6 +403,7 @@ def original_invoke(self, *args, **kwargs): assert len(invoke_spans) == 1 invoke_span = invoke_spans[0] + assert invoke_span.get("status") == "internal_error" assert invoke_span.get("tags", {}).get("status") == "internal_error" @@ -436,6 +437,7 @@ async def run_error_test(): assert len(invoke_spans) == 1 invoke_span = invoke_spans[0] + assert invoke_span.get("status") == "internal_error" assert invoke_span.get("tags", {}).get("status") == "internal_error" diff --git a/tests/integrations/mcp/test_mcp.py b/tests/integrations/mcp/test_mcp.py index 508aea5a3a..4415467cd7 100644 --- a/tests/integrations/mcp/test_mcp.py +++ b/tests/integrations/mcp/test_mcp.py @@ -300,6 +300,7 @@ def failing_tool(tool_name, arguments): # Error flag should be set for tools assert span["data"][SPANDATA.MCP_TOOL_RESULT_IS_ERROR] is True + assert span["status"] == "internal_error" assert span["tags"]["status"] == "internal_error" diff --git a/tests/integrations/openai/test_openai.py b/tests/integrations/openai/test_openai.py index 604480702f..814289c887 100644 --- a/tests/integrations/openai/test_openai.py +++ b/tests/integrations/openai/test_openai.py @@ -440,6 +440,7 @@ def test_span_status_error(sentry_init, capture_events): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index 46197ae855..dd216d8a90 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -645,6 +645,7 @@ async def test_error_handling(sentry_init, capture_events, test_agent): assert ai_client_span["description"] == "chat gpt-4" assert ai_client_span["origin"] == "auto.ai.openai_agents" + assert ai_client_span["status"] == "internal_error" assert ai_client_span["tags"]["status"] == "internal_error" @@ -685,6 +686,7 @@ async def test_error_captures_input_data(sentry_init, capture_events, test_agent ai_client_span = [s for s in spans if s["op"] == "gen_ai.chat"][0] assert ai_client_span["description"] == "chat gpt-4" + assert ai_client_span["status"] == "internal_error" assert ai_client_span["tags"]["status"] == "internal_error" assert "gen_ai.request.messages" in ai_client_span["data"] @@ -724,6 +726,7 @@ async def test_span_status_error(sentry_init, capture_events, test_agent): (error, transaction) = events assert error["level"] == "error" + assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" @@ -827,6 +830,7 @@ async def test_mcp_tool_execution_spans(sentry_init, capture_events, test_agent) ) # Verify no error status since error was None + assert mcp_tool_span.get("status") != "internal_error" assert mcp_tool_span.get("tags", {}).get("status") != "internal_error" @@ -927,6 +931,7 @@ async def test_mcp_tool_execution_with_error(sentry_init, capture_events, test_a assert mcp_tool_span["data"]["gen_ai.tool.output"] is None # Verify error status was set + assert mcp_tool_span["status"] == "internal_error" assert mcp_tool_span["tags"]["status"] == "internal_error" @@ -1218,4 +1223,5 @@ def failing_tool(message: str) -> str: # Verify error status was set (this is the key test for our patch) # The span should be marked as error because the tool execution failed + assert execute_tool_span["status"] == "internal_error" assert execute_tool_span["tags"]["status"] == "internal_error" diff --git a/tests/integrations/pymongo/test_pymongo.py b/tests/integrations/pymongo/test_pymongo.py index 7e6556f85a..0669f73c30 100644 --- a/tests/integrations/pymongo/test_pymongo.py +++ b/tests/integrations/pymongo/test_pymongo.py @@ -99,8 +99,11 @@ def test_transactions(sentry_init, capture_events, mongo_server, with_pii): and "4" not in insert_fail["description"] ) + assert find["status"] == "ok" assert find["tags"]["status"] == "ok" + assert insert_success["status"] == "ok" assert insert_success["tags"]["status"] == "ok" + assert insert_fail["status"] == "internal_error" assert insert_fail["tags"]["status"] == "internal_error" diff --git a/tests/tracing/test_integration_tests.py b/tests/tracing/test_integration_tests.py index 8b5659b694..e0ff123b0d 100644 --- a/tests/tracing/test_integration_tests.py +++ b/tests/tracing/test_integration_tests.py @@ -40,9 +40,11 @@ def test_basic(sentry_init, capture_events, sample_rate): span1, span2 = event["spans"] parent_span = event + assert span1["status"] == "internal_error" assert span1["tags"]["status"] == "internal_error" assert span1["op"] == "foo" assert span1["description"] == "foodesc" + assert "status" not in span2 assert "status" not in span2.get("tags", {}) assert span2["op"] == "bar" assert span2["description"] == "bardesc" @@ -332,6 +334,7 @@ def test_non_error_exceptions( event = events[0] span = event["spans"][0] + assert "status" not in span assert "status" not in span.get("tags", {}) assert "status" not in event["tags"] assert event["contexts"]["trace"]["status"] == "ok" @@ -357,6 +360,7 @@ def test_good_sysexit_doesnt_fail_transaction( event = events[0] span = event["spans"][0] + assert "status" not in span assert "status" not in span.get("tags", {}) assert "status" not in event["tags"] assert event["contexts"]["trace"]["status"] == "ok" From ab0103e37d0c5f37206d50c937a83370a338108f Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Wed, 26 Nov 2025 13:52:59 +0100 Subject: [PATCH 24/51] feat(logs): Record discarded log bytes (#5144) Report the size of discarded logs in bytes as part of client reports, based on the specification added in commit 5819cdd of `sentry-docs`. The reported size is based on the log format submitted to the transport. The bytes representation returned by `PayloadRef.get_bytes()` is used to calculate the size in bytes. In all common code paths, the representation is a compact utf-8 encoding of the log item payload. --- sentry_sdk/_log_batcher.py | 12 ++++ sentry_sdk/_types.py | 1 + sentry_sdk/client.py | 4 +- sentry_sdk/transport.py | 5 ++ tests/test_logs.py | 63 +++++++++++++++++- tests/test_transport.py | 128 +++++++++++++++++++++++++++++++++++-- 6 files changed, 203 insertions(+), 10 deletions(-) diff --git a/sentry_sdk/_log_batcher.py b/sentry_sdk/_log_batcher.py index f7f6c80565..6d793aceb7 100644 --- a/sentry_sdk/_log_batcher.py +++ b/sentry_sdk/_log_batcher.py @@ -83,9 +83,21 @@ def add( with self._lock: if len(self._log_buffer) >= self.MAX_LOGS_BEFORE_DROP: + # Construct log envelope item without sending it to report lost bytes + log_item = Item( + type="log", + content_type="application/vnd.sentry.items.log+json", + headers={ + "item_count": 1, + }, + payload=PayloadRef( + json={"items": [LogBatcher._log_to_transport_format(log)]} + ), + ) self._record_lost_func( reason="queue_overflow", data_category="log_item", + item=log_item, quantity=1, ) return None diff --git a/sentry_sdk/_types.py b/sentry_sdk/_types.py index 66ed7df4f7..0426bf7a93 100644 --- a/sentry_sdk/_types.py +++ b/sentry_sdk/_types.py @@ -294,6 +294,7 @@ class SDKInfo(TypedDict): "monitor", "span", "log_item", + "log_byte", "trace_metric", ] SessionStatus = Literal["ok", "exited", "crashed", "abnormal"] diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py index 928fc3ea8b..fa17dbe18c 100644 --- a/sentry_sdk/client.py +++ b/sentry_sdk/client.py @@ -67,7 +67,7 @@ from sentry_sdk.scope import Scope from sentry_sdk.session import Session from sentry_sdk.spotlight import SpotlightClient - from sentry_sdk.transport import Transport + from sentry_sdk.transport import Transport, Item from sentry_sdk._log_batcher import LogBatcher from sentry_sdk._metrics_batcher import MetricsBatcher @@ -360,6 +360,7 @@ def _capture_envelope(envelope): def _record_lost_event( reason, # type: str data_category, # type: EventDataCategory + item=None, # type: Optional[Item] quantity=1, # type: int ): # type: (...) -> None @@ -367,6 +368,7 @@ def _record_lost_event( self.transport.record_lost_event( reason=reason, data_category=data_category, + item=item, quantity=quantity, ) diff --git a/sentry_sdk/transport.py b/sentry_sdk/transport.py index 645bfead19..78e4cd21c6 100644 --- a/sentry_sdk/transport.py +++ b/sentry_sdk/transport.py @@ -266,6 +266,11 @@ def record_lost_event( ) self.record_lost_event(reason, "span", quantity=span_count) + elif data_category == "log_item" and item: + # Also record size of lost logs in bytes + bytes_size = len(item.get_bytes()) + self.record_lost_event(reason, "log_byte", quantity=bytes_size) + elif data_category == "attachment": # quantity of 0 is actually 1 as we do not want to count # empty attachments as actually empty. diff --git a/tests/test_logs.py b/tests/test_logs.py index 6c0a9b14f9..15baa9328b 100644 --- a/tests/test_logs.py +++ b/tests/test_logs.py @@ -4,11 +4,12 @@ import time from typing import List, Any, Mapping, Union import pytest +from unittest import mock import sentry_sdk import sentry_sdk.logger from sentry_sdk import get_client -from sentry_sdk.envelope import Envelope +from sentry_sdk.envelope import Envelope, Item, PayloadRef from sentry_sdk.types import Log from sentry_sdk.consts import SPANDATA, VERSION @@ -450,7 +451,7 @@ def test_logs_with_literal_braces( @minimum_python_37 def test_batcher_drops_logs(sentry_init, monkeypatch): - sentry_init(enable_logs=True) + sentry_init(enable_logs=True, server_name="test-server", release="1.0.0") client = sentry_sdk.get_client() def no_op_flush(): @@ -469,5 +470,61 @@ def record_lost_event(reason, data_category=None, item=None, *, quantity=1): sentry_sdk.logger.info("This is a 'info' log...") assert len(lost_event_calls) == 5 + for lost_event_call in lost_event_calls: - assert lost_event_call == ("queue_overflow", "log_item", None, 1) + reason, data_category, item, quantity = lost_event_call + + assert reason == "queue_overflow" + assert data_category == "log_item" + assert quantity == 1 + + assert item.type == "log" + assert item.headers == { + "type": "log", + "item_count": 1, + "content_type": "application/vnd.sentry.items.log+json", + } + assert item.payload.json == { + "items": [ + { + "body": "This is a 'info' log...", + "level": "info", + "timestamp": mock.ANY, + "trace_id": mock.ANY, + "attributes": { + "sentry.environment": { + "type": "string", + "value": "production", + }, + "sentry.release": { + "type": "string", + "value": "1.0.0", + }, + "sentry.sdk.name": { + "type": "string", + "value": mock.ANY, + }, + "sentry.sdk.version": { + "type": "string", + "value": VERSION, + }, + "sentry.severity_number": { + "type": "integer", + "value": 9, + }, + "sentry.severity_text": { + "type": "string", + "value": "info", + }, + "sentry.trace.parent_span_id": { + "type": "string", + "value": mock.ANY, + }, + "server.address": { + "type": "string", + "value": "test-server", + }, + }, + } + ] + } diff --git a/tests/test_transport.py b/tests/test_transport.py index 804105b010..fc64a1e53c 100644 --- a/tests/test_transport.py +++ b/tests/test_transport.py @@ -25,7 +25,7 @@ Hub, ) from sentry_sdk._compat import PY37, PY38 -from sentry_sdk.envelope import Envelope, Item, parse_json +from sentry_sdk.envelope import Envelope, Item, parse_json, PayloadRef from sentry_sdk.transport import ( KEEP_ALIVE_SOCKET_OPTIONS, _parse_rate_limits, @@ -591,7 +591,110 @@ def test_complex_limits_without_data_category( @pytest.mark.parametrize("response_code", [200, 429]) -def test_log_item_limits(capturing_server, response_code, make_client): +@pytest.mark.parametrize( + "item", + [ + Item(payload=b"{}", type="log"), + Item( + type="log", + content_type="application/vnd.sentry.items.log+json", + headers={ + "item_count": 2, + }, + payload=PayloadRef( + json={ + "items": [ + { + "body": "This is a 'info' log...", + "level": "info", + "timestamp": datetime( + 2025, 1, 1, tzinfo=timezone.utc + ).timestamp(), + "trace_id": "00000000-0000-0000-0000-000000000000", + "attributes": { + "sentry.environment": { + "value": "production", + "type": "string", + }, + "sentry.release": { + "value": "1.0.0", + "type": "string", + }, + "sentry.sdk.name": { + "value": "sentry.python", + "type": "string", + }, + "sentry.sdk.version": { + "value": "2.45.0", + "type": "string", + }, + "sentry.severity_number": { + "value": 9, + "type": "integer", + }, + "sentry.severity_text": { + "value": "info", + "type": "string", + }, + "server.address": { + "value": "test-server", + "type": "string", + }, + }, + }, + { + "body": "The recorded value was '2.0'", + "level": "warn", + "timestamp": datetime( + 2025, 1, 1, tzinfo=timezone.utc + ).timestamp(), + "trace_id": "00000000-0000-0000-0000-000000000000", + "attributes": { + "sentry.message.parameter.float_var": { + "value": 2.0, + "type": "double", + }, + "sentry.message.template": { + "value": "The recorded value was '{float_var}'", + "type": "string", + }, + "sentry.sdk.name": { + "value": "sentry.python", + "type": "string", + }, + "sentry.sdk.version": { + "value": "2.45.0", + "type": "string", + }, + "server.address": { + "value": "test-server", + "type": "string", + }, + "sentry.environment": { + "value": "production", + "type": "string", + }, + "sentry.release": { + "value": "1.0.0", + "type": "string", + }, + "sentry.severity_number": { + "value": 13, + "type": "integer", + }, + "sentry.severity_text": { + "value": "warn", + "type": "string", + }, + }, + }, + ] + } + ), + ), + ], +) +def test_log_item_limits(capturing_server, response_code, item, make_client): client = make_client() capturing_server.respond_with( code=response_code, @@ -601,7 +704,7 @@ def test_log_item_limits(capturing_server, response_code, make_client): ) envelope = Envelope() - envelope.add_item(Item(payload=b"{}", type="log")) + envelope.add_item(item) client.transport.capture_envelope(envelope) client.flush() @@ -622,9 +725,22 @@ def test_log_item_limits(capturing_server, response_code, make_client): envelope = capturing_server.captured[1].envelope assert envelope.items[0].type == "client_report" report = parse_json(envelope.items[0].get_bytes()) - assert report["discarded_events"] == [ - {"category": "log_item", "reason": "ratelimit_backoff", "quantity": 1}, - ] + + assert { + "category": "log_item", + "reason": "ratelimit_backoff", + "quantity": 1, + } in report["discarded_events"] + + expected_lost_bytes = 1243 + if item.payload.bytes == b"{}": + expected_lost_bytes = 2 + + assert { + "category": "log_byte", + "reason": "ratelimit_backoff", + "quantity": expected_lost_bytes, + } in report["discarded_events"] def test_hub_cls_backwards_compat(): From 80ba8fb09f723d474c4981ca121785d3cf7ffff5 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Wed, 26 Nov 2025 14:45:32 +0100 Subject: [PATCH 25/51] Cleanup PropagationContext.from_incoming_data (#5155) ### Description I'm cleaning up the `PropagationContext`/`continue_trace` flow like I did on `potel-base`. The early return now makes sure that the `incoming_data` only matters when we have a `sentry-trace` first and foremost and avoids the multiple `PropagationContext` instantiations. --- sentry_sdk/tracing_utils.py | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index a71e0c3b2b..d044711ce1 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -444,26 +444,23 @@ def __init__( @classmethod def from_incoming_data(cls, incoming_data): # type: (Dict[str, Any]) -> Optional[PropagationContext] - propagation_context = None - normalized_data = normalize_incoming_data(incoming_data) + + sentry_trace_header = normalized_data.get(SENTRY_TRACE_HEADER_NAME) + sentrytrace_data = extract_sentrytrace_data(sentry_trace_header) + if sentrytrace_data is None: + return None + + propagation_context = PropagationContext() + propagation_context.update(sentrytrace_data) + baggage_header = normalized_data.get(BAGGAGE_HEADER_NAME) if baggage_header: - propagation_context = PropagationContext() propagation_context.dynamic_sampling_context = Baggage.from_incoming_header( baggage_header ).dynamic_sampling_context() - sentry_trace_header = normalized_data.get(SENTRY_TRACE_HEADER_NAME) - if sentry_trace_header: - sentrytrace_data = extract_sentrytrace_data(sentry_trace_header) - if sentrytrace_data is not None: - if propagation_context is None: - propagation_context = PropagationContext() - propagation_context.update(sentrytrace_data) - - if propagation_context is not None: - propagation_context._fill_sample_rand() + propagation_context._fill_sample_rand() return propagation_context From 027aa6ea8790f5832b1aba0640fecf3d970451c9 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Wed, 26 Nov 2025 15:41:16 +0100 Subject: [PATCH 26/51] Make PropagationContext hold baggage instead of dynamic_sampling_context (#5156) ### Description The `Transaction.continue_from_headers` and the `Transaction` constructor take a `Baggage` object so this was inconsistent with how I originally designed the baggage handling and created spaghetti loops between the two concepts. --- sentry_sdk/scope.py | 18 ++++---------- sentry_sdk/tracing_utils.py | 48 ++++++++++++++++++++----------------- 2 files changed, 31 insertions(+), 35 deletions(-) diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py index 8e55add770..14b6fdfa4c 100644 --- a/sentry_sdk/scope.py +++ b/sentry_sdk/scope.py @@ -530,9 +530,7 @@ def get_dynamic_sampling_context(self): baggage = self.get_baggage() if baggage is not None: - self._propagation_context.dynamic_sampling_context = ( - baggage.dynamic_sampling_context() - ) + self._propagation_context.baggage = baggage return self._propagation_context.dynamic_sampling_context @@ -573,13 +571,7 @@ def get_baggage(self, *args, **kwargs): # If this scope has a propagation context, return baggage from there if self._propagation_context is not None: - dynamic_sampling_context = ( - self._propagation_context.dynamic_sampling_context - ) - if dynamic_sampling_context is None: - return Baggage.from_options(self) - else: - return Baggage(dynamic_sampling_context) + return self._propagation_context.baggage or Baggage.from_options(self) # Fall back to isolation scope's baggage. It always has one return self.get_isolation_scope().get_baggage() @@ -1099,9 +1091,9 @@ def start_transaction( if transaction.sample_rate is not None: propagation_context = self.get_active_propagation_context() if propagation_context: - dsc = propagation_context.dynamic_sampling_context - if dsc is not None: - dsc["sample_rate"] = str(transaction.sample_rate) + baggage = propagation_context.baggage + if baggage is not None: + baggage.sentry_items["sample_rate"] = str(transaction.sample_rate) if transaction._baggage: transaction._baggage.sentry_items["sample_rate"] = str( transaction.sample_rate diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index d044711ce1..472bd6bbdd 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -411,7 +411,7 @@ class PropagationContext: "_span_id", "parent_span_id", "parent_sampled", - "dynamic_sampling_context", + "baggage", ) def __init__( @@ -421,6 +421,7 @@ def __init__( parent_span_id=None, # type: Optional[str] parent_sampled=None, # type: Optional[bool] dynamic_sampling_context=None, # type: Optional[Dict[str, str]] + baggage=None, # type: Optional[Baggage] ): # type: (...) -> None self._trace_id = trace_id @@ -438,8 +439,12 @@ def __init__( Important when the parent span originated in an upstream service, because we want to sample the whole trace, or nothing from the trace.""" - self.dynamic_sampling_context = dynamic_sampling_context - """Data that is used for dynamic sampling decisions.""" + self.baggage = baggage + """Parsed baggage header that is used for dynamic sampling decisions.""" + + """DEPRECATED this only exists for backwards compat of constructor.""" + if baggage is None and dynamic_sampling_context is not None: + self.baggage = Baggage(dynamic_sampling_context) @classmethod def from_incoming_data(cls, incoming_data): @@ -456,9 +461,7 @@ def from_incoming_data(cls, incoming_data): baggage_header = normalized_data.get(BAGGAGE_HEADER_NAME) if baggage_header: - propagation_context.dynamic_sampling_context = Baggage.from_incoming_header( - baggage_header - ).dynamic_sampling_context() + propagation_context.baggage = Baggage.from_incoming_header(baggage_header) propagation_context._fill_sample_rand() @@ -493,6 +496,11 @@ def span_id(self, value): # type: (str) -> None self._span_id = value + @property + def dynamic_sampling_context(self): + # type: () -> Optional[Dict[str, Any]] + return self.baggage.dynamic_sampling_context() if self.baggage else None + def update(self, other_dict): # type: (Dict[str, Any]) -> None """ @@ -506,20 +514,20 @@ def update(self, other_dict): def __repr__(self): # type: (...) -> str - return "".format( + return "".format( self._trace_id, self._span_id, self.parent_span_id, self.parent_sampled, - self.dynamic_sampling_context, + self.baggage, ) def _fill_sample_rand(self): # type: () -> None """ - Ensure that there is a valid sample_rand value in the dynamic_sampling_context. + Ensure that there is a valid sample_rand value in the baggage. - If there is a valid sample_rand value in the dynamic_sampling_context, we keep it. + If there is a valid sample_rand value in the baggage, we keep it. Otherwise, we generate a sample_rand value according to the following: - If we have a parent_sampled value and a sample_rate in the DSC, we compute @@ -532,23 +540,19 @@ def _fill_sample_rand(self): The sample_rand is deterministically generated from the trace_id, if present. - This function does nothing if there is no dynamic_sampling_context. + This function does nothing if there is no baggage. """ - if self.dynamic_sampling_context is None: + if self.baggage is None: return - sample_rand = try_convert( - float, self.dynamic_sampling_context.get("sample_rand") - ) + sample_rand = try_convert(float, self.baggage.sentry_items.get("sample_rand")) if sample_rand is not None and 0 <= sample_rand < 1: # sample_rand is present and valid, so don't overwrite it return # Get the sample rate and compute the transformation that will map the random value # to the desired range: [0, 1), [0, sample_rate), or [sample_rate, 1). - sample_rate = try_convert( - float, self.dynamic_sampling_context.get("sample_rate") - ) + sample_rate = try_convert(float, self.baggage.sentry_items.get("sample_rate")) lower, upper = _sample_rand_range(self.parent_sampled, sample_rate) try: @@ -564,15 +568,15 @@ def _fill_sample_rand(self): ) return - self.dynamic_sampling_context["sample_rand"] = f"{sample_rand:.6f}" # noqa: E231 + self.baggage.sentry_items["sample_rand"] = f"{sample_rand:.6f}" # noqa: E231 def _sample_rand(self): # type: () -> Optional[str] - """Convenience method to get the sample_rand value from the dynamic_sampling_context.""" - if self.dynamic_sampling_context is None: + """Convenience method to get the sample_rand value from the baggage.""" + if self.baggage is None: return None - return self.dynamic_sampling_context.get("sample_rand") + return self.baggage.sentry_items.get("sample_rand") class Baggage: From 972c2d7558c278afd2d90f1e5e5cd1a2f32e036c Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Wed, 26 Nov 2025 17:43:03 +0100 Subject: [PATCH 27/51] feat(integrations): add support for embed_content methods in GoogleGenAI integration (#5128) #### Issues Closes https://linear.app/getsentry/issue/TET-1464/add-embedding-support-for-google-genai --- .../integrations/google_genai/__init__.py | 75 +++ sentry_sdk/integrations/google_genai/utils.py | 68 +++ .../google_genai/test_google_genai.py | 464 ++++++++++++++++++ 3 files changed, 607 insertions(+) diff --git a/sentry_sdk/integrations/google_genai/__init__.py b/sentry_sdk/integrations/google_genai/__init__.py index 7f7873a119..ee71895b9b 100644 --- a/sentry_sdk/integrations/google_genai/__init__.py +++ b/sentry_sdk/integrations/google_genai/__init__.py @@ -26,6 +26,9 @@ set_span_data_for_response, _capture_exception, prepare_generate_content_args, + prepare_embed_content_args, + set_span_data_for_embed_request, + set_span_data_for_embed_response, ) from .streaming import ( set_span_data_for_streaming_response, @@ -49,6 +52,7 @@ def setup_once(): Models.generate_content_stream = _wrap_generate_content_stream( Models.generate_content_stream ) + Models.embed_content = _wrap_embed_content(Models.embed_content) # Patch async methods AsyncModels.generate_content = _wrap_async_generate_content( @@ -57,6 +61,7 @@ def setup_once(): AsyncModels.generate_content_stream = _wrap_async_generate_content_stream( AsyncModels.generate_content_stream ) + AsyncModels.embed_content = _wrap_async_embed_content(AsyncModels.embed_content) def _wrap_generate_content_stream(f): @@ -299,3 +304,73 @@ async def new_async_generate_content(self, *args, **kwargs): return response return new_async_generate_content + + +def _wrap_embed_content(f): + # type: (Callable[..., Any]) -> Callable[..., Any] + @wraps(f) + def new_embed_content(self, *args, **kwargs): + # type: (Any, Any, Any) -> Any + integration = sentry_sdk.get_client().get_integration(GoogleGenAIIntegration) + if integration is None: + return f(self, *args, **kwargs) + + model_name, contents = prepare_embed_content_args(args, kwargs) + + with sentry_sdk.start_span( + op=OP.GEN_AI_EMBEDDINGS, + name=f"embeddings {model_name}", + origin=ORIGIN, + ) as span: + span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings") + span.set_data(SPANDATA.GEN_AI_SYSTEM, GEN_AI_SYSTEM) + span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name) + set_span_data_for_embed_request(span, integration, contents, kwargs) + + try: + response = f(self, *args, **kwargs) + except Exception as exc: + _capture_exception(exc) + span.set_status(SPANSTATUS.INTERNAL_ERROR) + raise + + set_span_data_for_embed_response(span, integration, response) + + return response + + return new_embed_content + + +def _wrap_async_embed_content(f): + # type: (Callable[..., Any]) -> Callable[..., Any] + @wraps(f) + async def new_async_embed_content(self, *args, **kwargs): + # type: (Any, Any, Any) -> Any + integration = sentry_sdk.get_client().get_integration(GoogleGenAIIntegration) + if integration is None: + return await f(self, *args, **kwargs) + + model_name, contents = prepare_embed_content_args(args, kwargs) + + with sentry_sdk.start_span( + op=OP.GEN_AI_EMBEDDINGS, + name=f"embeddings {model_name}", + origin=ORIGIN, + ) as span: + span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "embeddings") + span.set_data(SPANDATA.GEN_AI_SYSTEM, GEN_AI_SYSTEM) + span.set_data(SPANDATA.GEN_AI_REQUEST_MODEL, model_name) + set_span_data_for_embed_request(span, integration, contents, kwargs) + + try: + response = await f(self, *args, **kwargs) + except Exception as exc: + _capture_exception(exc) + span.set_status(SPANSTATUS.INTERNAL_ERROR) + raise + + set_span_data_for_embed_response(span, integration, response) + + return response + + return new_async_embed_content diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py index a28c9cc47c..0507b4fa00 100644 --- a/sentry_sdk/integrations/google_genai/utils.py +++ b/sentry_sdk/integrations/google_genai/utils.py @@ -36,6 +36,7 @@ ContentListUnion, Tool, Model, + EmbedContentResponse, ) @@ -574,3 +575,70 @@ def prepare_generate_content_args(args, kwargs): kwargs["config"] = wrapped_config return model, contents, model_name + + +def prepare_embed_content_args(args, kwargs): + # type: (tuple[Any, ...], dict[str, Any]) -> tuple[str, Any] + """Extract and prepare common arguments for embed_content methods. + + Returns: + tuple: (model_name, contents) + """ + model = kwargs.get("model", "unknown") + contents = kwargs.get("contents") + model_name = get_model_name(model) + + return model_name, contents + + +def set_span_data_for_embed_request(span, integration, contents, kwargs): + # type: (Span, Any, Any, dict[str, Any]) -> None + """Set span data for embedding request.""" + # Include input contents if PII is allowed + if should_send_default_pii() and integration.include_prompts: + if contents: + # For embeddings, contents is typically a list of strings/texts + input_texts = [] + + # Handle various content formats + if isinstance(contents, str): + input_texts = [contents] + elif isinstance(contents, list): + for item in contents: + text = extract_contents_text(item) + if text: + input_texts.append(text) + else: + text = extract_contents_text(contents) + if text: + input_texts = [text] + + if input_texts: + set_data_normalized( + span, + SPANDATA.GEN_AI_EMBEDDINGS_INPUT, + input_texts, + unpack=False, + ) + + +def set_span_data_for_embed_response(span, integration, response): + # type: (Span, Any, EmbedContentResponse) -> None + """Set span data for embedding response.""" + if not response: + return + + # Extract token counts from embeddings statistics (Vertex AI only) + # Each embedding has its own statistics with token_count + if hasattr(response, "embeddings") and response.embeddings: + total_tokens = 0 + + for embedding in response.embeddings: + if hasattr(embedding, "statistics") and embedding.statistics: + token_count = getattr(embedding.statistics, "token_count", None) + if token_count is not None: + total_tokens += int(token_count) + + # Set token count if we found any + if total_tokens > 0: + span.set_data(SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, total_tokens) diff --git a/tests/integrations/google_genai/test_google_genai.py b/tests/integrations/google_genai/test_google_genai.py index 268d7fbca9..a49822f3d4 100644 --- a/tests/integrations/google_genai/test_google_genai.py +++ b/tests/integrations/google_genai/test_google_genai.py @@ -953,3 +953,467 @@ def test_google_genai_message_truncation( assert ( event["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 2 ) + + +# Sample embed content API response JSON +EXAMPLE_EMBED_RESPONSE_JSON = { + "embeddings": [ + { + "values": [0.1, 0.2, 0.3, 0.4, 0.5], # Simplified embedding vector + "statistics": { + "tokenCount": 10, + "truncated": False, + }, + }, + { + "values": [0.2, 0.3, 0.4, 0.5, 0.6], + "statistics": { + "tokenCount": 15, + "truncated": False, + }, + }, + ], + "metadata": { + "billableCharacterCount": 42, + }, +} + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +def test_embed_content( + sentry_init, capture_events, send_default_pii, include_prompts, mock_genai_client +): + sentry_init( + integrations=[GoogleGenAIIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + # Mock the HTTP response at the _api_client.request() level + mock_http_response = create_mock_http_response(EXAMPLE_EMBED_RESPONSE_JSON) + + with mock.patch.object( + mock_genai_client._api_client, + "request", + return_value=mock_http_response, + ): + with start_transaction(name="google_genai_embeddings"): + mock_genai_client.models.embed_content( + model="text-embedding-004", + contents=[ + "What is your name?", + "What is your favorite color?", + ], + ) + + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "google_genai_embeddings" + + # Should have 1 span for embeddings + assert len(event["spans"]) == 1 + (embed_span,) = event["spans"] + + # Check embeddings span + assert embed_span["op"] == OP.GEN_AI_EMBEDDINGS + assert embed_span["description"] == "embeddings text-embedding-004" + assert embed_span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" + assert embed_span["data"][SPANDATA.GEN_AI_SYSTEM] == "gcp.gemini" + assert embed_span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "text-embedding-004" + + # Check input texts if PII is allowed + if send_default_pii and include_prompts: + input_texts = json.loads(embed_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]) + assert input_texts == [ + "What is your name?", + "What is your favorite color?", + ] + else: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embed_span["data"] + + # Check usage data (sum of token counts from statistics: 10 + 15 = 25) + # Note: Only available in newer versions with ContentEmbeddingStatistics + if SPANDATA.GEN_AI_USAGE_INPUT_TOKENS in embed_span["data"]: + assert embed_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 25 + + +def test_embed_content_string_input(sentry_init, capture_events, mock_genai_client): + """Test embed_content with a single string instead of list.""" + sentry_init( + integrations=[GoogleGenAIIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock response with single embedding + single_embed_response = { + "embeddings": [ + { + "values": [0.1, 0.2, 0.3], + "statistics": { + "tokenCount": 5, + "truncated": False, + }, + }, + ], + "metadata": { + "billableCharacterCount": 10, + }, + } + mock_http_response = create_mock_http_response(single_embed_response) + + with mock.patch.object( + mock_genai_client._api_client, "request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings"): + mock_genai_client.models.embed_content( + model="text-embedding-004", + contents="Single text input", + ) + + (event,) = events + (embed_span,) = event["spans"] + + # Check that single string is handled correctly + input_texts = json.loads(embed_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]) + assert input_texts == ["Single text input"] + # Should use token_count from statistics (5), not billable_character_count (10) + # Note: Only available in newer versions with ContentEmbeddingStatistics + if SPANDATA.GEN_AI_USAGE_INPUT_TOKENS in embed_span["data"]: + assert embed_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5 + + +def test_embed_content_error_handling(sentry_init, capture_events, mock_genai_client): + """Test error handling in embed_content.""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + # Mock an error at the HTTP level + with mock.patch.object( + mock_genai_client._api_client, + "request", + side_effect=Exception("Embedding API Error"), + ): + with start_transaction(name="google_genai_embeddings"): + with pytest.raises(Exception, match="Embedding API Error"): + mock_genai_client.models.embed_content( + model="text-embedding-004", + contents=["This will fail"], + ) + + # Should have both transaction and error events + assert len(events) == 2 + error_event, _ = events + + assert error_event["level"] == "error" + assert error_event["exception"]["values"][0]["type"] == "Exception" + assert error_event["exception"]["values"][0]["value"] == "Embedding API Error" + assert error_event["exception"]["values"][0]["mechanism"]["type"] == "google_genai" + + +def test_embed_content_without_statistics( + sentry_init, capture_events, mock_genai_client +): + """Test embed_content response without statistics (older package versions).""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + # Response without statistics (typical for older google-genai versions) + # Embeddings exist but don't have the statistics field + old_version_response = { + "embeddings": [ + { + "values": [0.1, 0.2, 0.3], + }, + { + "values": [0.2, 0.3, 0.4], + }, + ], + } + mock_http_response = create_mock_http_response(old_version_response) + + with mock.patch.object( + mock_genai_client._api_client, "request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings"): + mock_genai_client.models.embed_content( + model="text-embedding-004", + contents=["Test without statistics", "Another test"], + ) + + (event,) = events + (embed_span,) = event["spans"] + + # No usage tokens since there are no statistics in older versions + # This is expected and the integration should handle it gracefully + assert SPANDATA.GEN_AI_USAGE_INPUT_TOKENS not in embed_span["data"] + + +def test_embed_content_span_origin(sentry_init, capture_events, mock_genai_client): + """Test that embed_content spans have correct origin.""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mock_http_response = create_mock_http_response(EXAMPLE_EMBED_RESPONSE_JSON) + + with mock.patch.object( + mock_genai_client._api_client, "request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings"): + mock_genai_client.models.embed_content( + model="text-embedding-004", + contents=["Test origin"], + ) + + (event,) = events + + assert event["contexts"]["trace"]["origin"] == "manual" + for span in event["spans"]: + assert span["origin"] == "auto.ai.google_genai" + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +async def test_async_embed_content( + sentry_init, capture_events, send_default_pii, include_prompts, mock_genai_client +): + """Test async embed_content method.""" + sentry_init( + integrations=[GoogleGenAIIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + + # Mock the async HTTP response + mock_http_response = create_mock_http_response(EXAMPLE_EMBED_RESPONSE_JSON) + + with mock.patch.object( + mock_genai_client._api_client, + "async_request", + return_value=mock_http_response, + ): + with start_transaction(name="google_genai_embeddings_async"): + await mock_genai_client.aio.models.embed_content( + model="text-embedding-004", + contents=[ + "What is your name?", + "What is your favorite color?", + ], + ) + + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "google_genai_embeddings_async" + + # Should have 1 span for embeddings + assert len(event["spans"]) == 1 + (embed_span,) = event["spans"] + + # Check embeddings span + assert embed_span["op"] == OP.GEN_AI_EMBEDDINGS + assert embed_span["description"] == "embeddings text-embedding-004" + assert embed_span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "embeddings" + assert embed_span["data"][SPANDATA.GEN_AI_SYSTEM] == "gcp.gemini" + assert embed_span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "text-embedding-004" + + # Check input texts if PII is allowed + if send_default_pii and include_prompts: + input_texts = json.loads(embed_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]) + assert input_texts == [ + "What is your name?", + "What is your favorite color?", + ] + else: + assert SPANDATA.GEN_AI_EMBEDDINGS_INPUT not in embed_span["data"] + + # Check usage data (sum of token counts from statistics: 10 + 15 = 25) + # Note: Only available in newer versions with ContentEmbeddingStatistics + if SPANDATA.GEN_AI_USAGE_INPUT_TOKENS in embed_span["data"]: + assert embed_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 25 + + +@pytest.mark.asyncio +async def test_async_embed_content_string_input( + sentry_init, capture_events, mock_genai_client +): + """Test async embed_content with a single string instead of list.""" + sentry_init( + integrations=[GoogleGenAIIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + # Mock response with single embedding + single_embed_response = { + "embeddings": [ + { + "values": [0.1, 0.2, 0.3], + "statistics": { + "tokenCount": 5, + "truncated": False, + }, + }, + ], + "metadata": { + "billableCharacterCount": 10, + }, + } + mock_http_response = create_mock_http_response(single_embed_response) + + with mock.patch.object( + mock_genai_client._api_client, "async_request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings_async"): + await mock_genai_client.aio.models.embed_content( + model="text-embedding-004", + contents="Single text input", + ) + + (event,) = events + (embed_span,) = event["spans"] + + # Check that single string is handled correctly + input_texts = json.loads(embed_span["data"][SPANDATA.GEN_AI_EMBEDDINGS_INPUT]) + assert input_texts == ["Single text input"] + # Should use token_count from statistics (5), not billable_character_count (10) + # Note: Only available in newer versions with ContentEmbeddingStatistics + if SPANDATA.GEN_AI_USAGE_INPUT_TOKENS in embed_span["data"]: + assert embed_span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 5 + + +@pytest.mark.asyncio +async def test_async_embed_content_error_handling( + sentry_init, capture_events, mock_genai_client +): + """Test error handling in async embed_content.""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + # Mock an error at the HTTP level + with mock.patch.object( + mock_genai_client._api_client, + "async_request", + side_effect=Exception("Async Embedding API Error"), + ): + with start_transaction(name="google_genai_embeddings_async"): + with pytest.raises(Exception, match="Async Embedding API Error"): + await mock_genai_client.aio.models.embed_content( + model="text-embedding-004", + contents=["This will fail"], + ) + + # Should have both transaction and error events + assert len(events) == 2 + error_event, _ = events + + assert error_event["level"] == "error" + assert error_event["exception"]["values"][0]["type"] == "Exception" + assert error_event["exception"]["values"][0]["value"] == "Async Embedding API Error" + assert error_event["exception"]["values"][0]["mechanism"]["type"] == "google_genai" + + +@pytest.mark.asyncio +async def test_async_embed_content_without_statistics( + sentry_init, capture_events, mock_genai_client +): + """Test async embed_content response without statistics (older package versions).""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + # Response without statistics (typical for older google-genai versions) + # Embeddings exist but don't have the statistics field + old_version_response = { + "embeddings": [ + { + "values": [0.1, 0.2, 0.3], + }, + { + "values": [0.2, 0.3, 0.4], + }, + ], + } + mock_http_response = create_mock_http_response(old_version_response) + + with mock.patch.object( + mock_genai_client._api_client, "async_request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings_async"): + await mock_genai_client.aio.models.embed_content( + model="text-embedding-004", + contents=["Test without statistics", "Another test"], + ) + + (event,) = events + (embed_span,) = event["spans"] + + # No usage tokens since there are no statistics in older versions + # This is expected and the integration should handle it gracefully + assert SPANDATA.GEN_AI_USAGE_INPUT_TOKENS not in embed_span["data"] + + +@pytest.mark.asyncio +async def test_async_embed_content_span_origin( + sentry_init, capture_events, mock_genai_client +): + """Test that async embed_content spans have correct origin.""" + sentry_init( + integrations=[GoogleGenAIIntegration()], + traces_sample_rate=1.0, + ) + events = capture_events() + + mock_http_response = create_mock_http_response(EXAMPLE_EMBED_RESPONSE_JSON) + + with mock.patch.object( + mock_genai_client._api_client, "async_request", return_value=mock_http_response + ): + with start_transaction(name="google_genai_embeddings_async"): + await mock_genai_client.aio.models.embed_content( + model="text-embedding-004", + contents=["Test origin"], + ) + + (event,) = events + + assert event["contexts"]["trace"]["origin"] == "manual" + for span in event["spans"]: + assert span["origin"] == "auto.ai.google_genai" From c3d389ebf0d95e2bc9799c7789a6c48a651f0892 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Thu, 27 Nov 2025 10:05:09 +0100 Subject: [PATCH 28/51] Simplify continue_trace to reuse propagation_context values (#5158) ### Description We are already parsing both `sentry-trace` and `baggage` headers and filling in `sample_rand` while constructing the `propagation_context`. We don't need the redundant logic in `Transaction.continue_from_headers` anymore. --- sentry_sdk/scope.py | 34 ++++++++++++++++------------------ 1 file changed, 16 insertions(+), 18 deletions(-) diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py index 14b6fdfa4c..2038dc4501 100644 --- a/sentry_sdk/scope.py +++ b/sentry_sdk/scope.py @@ -1186,28 +1186,26 @@ def continue_trace( """ self.generate_propagation_context(environ_or_headers) - # When we generate the propagation context, the sample_rand value is set - # if missing or invalid (we use the original value if it's valid). - # We want the transaction to use the same sample_rand value. Due to duplicated - # propagation logic in the transaction, we pass it in to avoid recomputing it - # in the transaction. - # TYPE SAFETY: self.generate_propagation_context() ensures that self._propagation_context - # is not None. - sample_rand = typing.cast( - PropagationContext, self._propagation_context - )._sample_rand() - - transaction = Transaction.continue_from_headers( - normalize_incoming_data(environ_or_headers), - _sample_rand=sample_rand, + # generate_propagation_context ensures that the propagation_context is not None. + propagation_context = typing.cast(PropagationContext, self._propagation_context) + + optional_kwargs = {} + if name: + optional_kwargs["name"] = name + if source: + optional_kwargs["source"] = source + + return Transaction( op=op, origin=origin, - name=name, - source=source, + baggage=propagation_context.baggage, + parent_sampled=propagation_context.parent_sampled, + trace_id=propagation_context.trace_id, + parent_span_id=propagation_context.parent_span_id, + same_process_as_parent=False, + **optional_kwargs, ) - return transaction - def capture_event(self, event, hint=None, scope=None, **scope_kwargs): # type: (Event, Optional[Hint], Optional[Scope], Any) -> Optional[str] """ From a06c9f0362f744de674c9d1cdf0a46517dd54c73 Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Thu, 27 Nov 2025 10:51:29 +0100 Subject: [PATCH 29/51] feat(integration): pydantic-ai: properly report token usage and response model for invoke_agent spans (#5153) #### Issues Closes https://linear.app/getsentry/issue/TET-1458/py-pydantic-ai-attributes-missing --- .../pydantic_ai/patches/agent_run.py | 15 +++---- .../pydantic_ai/spans/ai_client.py | 17 +------ .../pydantic_ai/spans/invoke_agent.py | 32 ++++++++++++- .../integrations/pydantic_ai/spans/utils.py | 34 ++++++++++++++ .../pydantic_ai/test_pydantic_ai.py | 45 +++++++++++++++++++ 5 files changed, 115 insertions(+), 28 deletions(-) create mode 100644 sentry_sdk/integrations/pydantic_ai/spans/utils.py diff --git a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py index daa2da112c..cceb11fc90 100644 --- a/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py +++ b/sentry_sdk/integrations/pydantic_ai/patches/agent_run.py @@ -71,13 +71,9 @@ async def __aexit__(self, exc_type, exc_val, exc_tb): # Exit the original context manager first await self.original_ctx_manager.__aexit__(exc_type, exc_val, exc_tb) - # Update span with output if successful - if exc_type is None and self._result and hasattr(self._result, "output"): - output = ( - self._result.output if hasattr(self._result, "output") else None - ) - if self._span is not None: - update_invoke_agent_span(self._span, output) + # Update span with result if successful + if exc_type is None and self._result and self._span is not None: + update_invoke_agent_span(self._span, self._result) finally: # Pop agent from contextvar stack pop_agent() @@ -123,9 +119,8 @@ async def wrapper(self, *args, **kwargs): try: result = await original_func(self, *args, **kwargs) - # Update span with output - output = result.output if hasattr(result, "output") else None - update_invoke_agent_span(span, output) + # Update span with result + update_invoke_agent_span(span, result) return result except Exception as exc: diff --git a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py index a2bd0272d4..b3749b16c9 100644 --- a/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py +++ b/sentry_sdk/integrations/pydantic_ai/spans/ai_client.py @@ -13,6 +13,7 @@ get_current_agent, get_is_streaming, ) +from .utils import _set_usage_data from typing import TYPE_CHECKING @@ -39,22 +40,6 @@ ThinkingPart = None -def _set_usage_data(span, usage): - # type: (sentry_sdk.tracing.Span, RequestUsage) -> None - """Set token usage data on a span.""" - if usage is None: - return - - if hasattr(usage, "input_tokens") and usage.input_tokens is not None: - span.set_data(SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens) - - if hasattr(usage, "output_tokens") and usage.output_tokens is not None: - span.set_data(SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens) - - if hasattr(usage, "total_tokens") and usage.total_tokens is not None: - span.set_data(SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens) - - def _set_input_messages(span, messages): # type: (sentry_sdk.tracing.Span, Any) -> None """Set input messages data on a span.""" diff --git a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py index f5e22fb346..ee451b7e6b 100644 --- a/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py +++ b/sentry_sdk/integrations/pydantic_ai/spans/invoke_agent.py @@ -9,6 +9,7 @@ _set_model_data, _should_send_prompts, ) +from .utils import _set_usage_data from typing import TYPE_CHECKING @@ -103,10 +104,37 @@ def invoke_agent_span(user_prompt, agent, model, model_settings, is_streaming=Fa return span -def update_invoke_agent_span(span, output): +def update_invoke_agent_span(span, result): # type: (sentry_sdk.tracing.Span, Any) -> None """Update and close the invoke agent span.""" - if span and _should_send_prompts() and output: + if not span or not result: + return + + # Extract output from result + output = getattr(result, "output", None) + + # Set response text if prompts are enabled + if _should_send_prompts() and output: set_data_normalized( span, SPANDATA.GEN_AI_RESPONSE_TEXT, str(output), unpack=False ) + + # Set token usage data if available + if hasattr(result, "usage") and callable(result.usage): + try: + usage = result.usage() + if usage: + _set_usage_data(span, usage) + except Exception: + # If usage() call fails, continue without setting usage data + pass + + # Set model name from response if available + if hasattr(result, "response"): + try: + response = result.response + if hasattr(response, "model_name") and response.model_name: + span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, response.model_name) + except Exception: + # If response access fails, continue without setting model name + pass diff --git a/sentry_sdk/integrations/pydantic_ai/spans/utils.py b/sentry_sdk/integrations/pydantic_ai/spans/utils.py new file mode 100644 index 0000000000..f5251622de --- /dev/null +++ b/sentry_sdk/integrations/pydantic_ai/spans/utils.py @@ -0,0 +1,34 @@ +"""Utility functions for PydanticAI span instrumentation.""" + +import sentry_sdk +from sentry_sdk.consts import SPANDATA + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from typing import Union + from pydantic_ai.usage import RequestUsage, RunUsage # type: ignore + + +def _set_usage_data(span, usage): + # type: (sentry_sdk.tracing.Span, Union[RequestUsage, RunUsage]) -> None + """Set token usage data on a span. + + This function works with both RequestUsage (single request) and + RunUsage (agent run) objects from pydantic_ai. + + Args: + span: The Sentry span to set data on. + usage: RequestUsage or RunUsage object containing token usage information. + """ + if usage is None: + return + + if hasattr(usage, "input_tokens") and usage.input_tokens is not None: + span.set_data(SPANDATA.GEN_AI_USAGE_INPUT_TOKENS, usage.input_tokens) + + if hasattr(usage, "output_tokens") and usage.output_tokens is not None: + span.set_data(SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS, usage.output_tokens) + + if hasattr(usage, "total_tokens") and usage.total_tokens is not None: + span.set_data(SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS, usage.total_tokens) diff --git a/tests/integrations/pydantic_ai/test_pydantic_ai.py b/tests/integrations/pydantic_ai/test_pydantic_ai.py index 394979bb5e..7f81769407 100644 --- a/tests/integrations/pydantic_ai/test_pydantic_ai.py +++ b/tests/integrations/pydantic_ai/test_pydantic_ai.py @@ -76,6 +76,51 @@ async def test_agent_run_async(sentry_init, capture_events, test_agent): assert "gen_ai.usage.output_tokens" in chat_span["data"] +@pytest.mark.asyncio +async def test_agent_run_async_usage_data(sentry_init, capture_events, test_agent): + """ + Test that the invoke_agent span includes token usage and model data. + """ + sentry_init( + integrations=[PydanticAIIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await test_agent.run("Test input") + + assert result is not None + assert result.output is not None + + (transaction,) = events + + # Verify transaction (the transaction IS the invoke_agent span) + assert transaction["transaction"] == "invoke_agent test_agent" + + # The invoke_agent span should have token usage data + trace_data = transaction["contexts"]["trace"].get("data", {}) + assert "gen_ai.usage.input_tokens" in trace_data, ( + "Missing input_tokens on invoke_agent span" + ) + assert "gen_ai.usage.output_tokens" in trace_data, ( + "Missing output_tokens on invoke_agent span" + ) + assert "gen_ai.usage.total_tokens" in trace_data, ( + "Missing total_tokens on invoke_agent span" + ) + assert "gen_ai.response.model" in trace_data, ( + "Missing response.model on invoke_agent span" + ) + + # Verify the values are reasonable + assert trace_data["gen_ai.usage.input_tokens"] > 0 + assert trace_data["gen_ai.usage.output_tokens"] > 0 + assert trace_data["gen_ai.usage.total_tokens"] > 0 + assert trace_data["gen_ai.response.model"] == "test" # Test model name + + def test_agent_run_sync(sentry_init, capture_events, test_agent): """ Test that the integration creates spans for sync agent runs. From 4e44da6d19813c6a77239c86f6d5a97f3ae8fa1f Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Thu, 27 Nov 2025 11:09:00 +0100 Subject: [PATCH 30/51] Add deprecations to changelog categories (#5162) ### Description #### Issues #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- .github/release.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/release.yml b/.github/release.yml index f17b69c0d1..21e093324e 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -15,6 +15,9 @@ changelog: labels: - "Changelog: Bugfix" - Bug + - title: Deprecations 🏗️ + labels: + - "Changelog: Deprecation" - title: Documentation 📚 labels: - "Changelog: Docs" From b528f3273e2ff01e34d282d92d022ac499189940 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Thu, 27 Nov 2025 11:09:33 +0100 Subject: [PATCH 31/51] Deprecate continue_from_headers (#5160) ### Description `continue_trace` should be the only recommended way of continuing upstream traces now. --- sentry_sdk/integrations/grpc/aio/server.py | 2 +- sentry_sdk/integrations/grpc/server.py | 2 +- sentry_sdk/tracing.py | 23 ++++++---------------- tests/integrations/stdlib/test_httplib.py | 10 +++++----- tests/tracing/test_integration_tests.py | 21 +++++++++----------- tests/tracing/test_sampling.py | 8 ++++---- 6 files changed, 26 insertions(+), 40 deletions(-) diff --git a/sentry_sdk/integrations/grpc/aio/server.py b/sentry_sdk/integrations/grpc/aio/server.py index 381c63103e..7a9eca7671 100644 --- a/sentry_sdk/integrations/grpc/aio/server.py +++ b/sentry_sdk/integrations/grpc/aio/server.py @@ -44,7 +44,7 @@ async def wrapped(request, context): return await handler(request, context) # What if the headers are empty? - transaction = Transaction.continue_from_headers( + transaction = sentry_sdk.continue_trace( dict(context.invocation_metadata()), op=OP.GRPC_SERVER, name=name, diff --git a/sentry_sdk/integrations/grpc/server.py b/sentry_sdk/integrations/grpc/server.py index 0d2792d1b7..cce7e99d27 100644 --- a/sentry_sdk/integrations/grpc/server.py +++ b/sentry_sdk/integrations/grpc/server.py @@ -38,7 +38,7 @@ def behavior(request, context): if name: metadata = dict(context.invocation_metadata()) - transaction = Transaction.continue_from_headers( + transaction = sentry_sdk.continue_trace( metadata, op=OP.GRPC_SERVER, name=name, diff --git a/sentry_sdk/tracing.py b/sentry_sdk/tracing.py index f0d24ddb39..5a9a053418 100644 --- a/sentry_sdk/tracing.py +++ b/sentry_sdk/tracing.py @@ -478,6 +478,8 @@ def continue_from_environ( ): # type: (...) -> Transaction """ + DEPRECATED: Use :py:meth:`sentry_sdk.continue_trace`. + Create a Transaction with the given params, then add in data pulled from the ``sentry-trace`` and ``baggage`` headers from the environ (if any) before returning the Transaction. @@ -489,11 +491,6 @@ def continue_from_environ( :param environ: The ASGI/WSGI environ to pull information from. """ - if cls is Span: - logger.warning( - "Deprecated: use Transaction.continue_from_environ " - "instead of Span.continue_from_environ." - ) return Transaction.continue_from_headers(EnvironHeaders(environ), **kwargs) @classmethod @@ -506,6 +503,8 @@ def continue_from_headers( ): # type: (...) -> Transaction """ + DEPRECATED: Use :py:meth:`sentry_sdk.continue_trace`. + Create a transaction with the given params (including any data pulled from the ``sentry-trace`` and ``baggage`` headers). @@ -513,12 +512,7 @@ def continue_from_headers( :param _sample_rand: If provided, we override the sample_rand value from the incoming headers with this value. (internal use only) """ - # TODO move this to the Transaction class - if cls is Span: - logger.warning( - "Deprecated: use Transaction.continue_from_headers " - "instead of Span.continue_from_headers." - ) + logger.warning("Deprecated: use sentry_sdk.continue_trace instead.") # TODO-neel move away from this kwargs stuff, it's confusing and opaque # make more explicit @@ -572,16 +566,11 @@ def from_traceparent( ): # type: (...) -> Optional[Transaction] """ - DEPRECATED: Use :py:meth:`sentry_sdk.tracing.Span.continue_from_headers`. + DEPRECATED: Use :py:meth:`sentry_sdk.continue_trace`. Create a ``Transaction`` with the given params, then add in data pulled from the given ``sentry-trace`` header value before returning the ``Transaction``. """ - logger.warning( - "Deprecated: Use Transaction.continue_from_headers(headers, **kwargs) " - "instead of from_traceparent(traceparent, **kwargs)" - ) - if not traceparent: return None diff --git a/tests/integrations/stdlib/test_httplib.py b/tests/integrations/stdlib/test_httplib.py index acb115c6d4..588c3b34f4 100644 --- a/tests/integrations/stdlib/test_httplib.py +++ b/tests/integrations/stdlib/test_httplib.py @@ -8,9 +8,8 @@ import pytest -from sentry_sdk import capture_message, start_transaction +from sentry_sdk import capture_message, start_transaction, continue_trace from sentry_sdk.consts import MATCH_ALL, SPANDATA -from sentry_sdk.tracing import Transaction from sentry_sdk.integrations.stdlib import StdlibIntegration from tests.conftest import ApproxDict, create_mock_http_server @@ -187,6 +186,7 @@ def test_outgoing_trace_headers(sentry_init, monkeypatch): sentry_init(traces_sample_rate=1.0) headers = { + "sentry-trace": "771a43a4192642f0b136d5159a501700-1234567890abcdef-1", "baggage": ( "other-vendor-value-1=foo;bar;baz, sentry-trace_id=771a43a4192642f0b136d5159a501700, " "sentry-public_key=49d0f7386ad645858ae85020e393bef3, sentry-sample_rate=0.01337, " @@ -194,7 +194,7 @@ def test_outgoing_trace_headers(sentry_init, monkeypatch): ), } - transaction = Transaction.continue_from_headers(headers) + transaction = continue_trace(headers) with start_transaction( transaction=transaction, @@ -239,7 +239,7 @@ def test_outgoing_trace_headers_head_sdk(sentry_init, monkeypatch): sentry_init(traces_sample_rate=0.5, release="foo") with mock.patch("sentry_sdk.tracing_utils.Random.randrange", return_value=250000): - transaction = Transaction.continue_from_headers({}) + transaction = continue_trace({}) with start_transaction(transaction=transaction, name="Head SDK tx") as transaction: HTTPSConnection("www.squirrelchasers.com").request("GET", "/top-chasers") @@ -351,7 +351,7 @@ def test_option_trace_propagation_targets( ) } - transaction = Transaction.continue_from_headers(headers) + transaction = continue_trace(headers) with start_transaction( transaction=transaction, diff --git a/tests/tracing/test_integration_tests.py b/tests/tracing/test_integration_tests.py index e0ff123b0d..0bd5548980 100644 --- a/tests/tracing/test_integration_tests.py +++ b/tests/tracing/test_integration_tests.py @@ -11,10 +11,10 @@ capture_message, start_span, start_transaction, + continue_trace, ) from sentry_sdk.consts import SPANSTATUS from sentry_sdk.transport import Transport -from sentry_sdk.tracing import Transaction @pytest.mark.parametrize("sample_rate", [0.0, 1.0]) @@ -57,9 +57,7 @@ def test_basic(sentry_init, capture_events, sample_rate): @pytest.mark.parametrize("parent_sampled", [True, False, None]) @pytest.mark.parametrize("sample_rate", [0.0, 1.0]) -def test_continue_from_headers( - sentry_init, capture_envelopes, parent_sampled, sample_rate -): +def test_continue_trace(sentry_init, capture_envelopes, parent_sampled, sample_rate): """ Ensure data is actually passed along via headers, and that they are read correctly. @@ -79,11 +77,12 @@ def test_continue_from_headers( "sentry-trace_id=771a43a4192642f0b136d5159a501700, " "sentry-public_key=49d0f7386ad645858ae85020e393bef3, " "sentry-sample_rate=0.01337, sentry-user_id=Amelie, " + "sentry-sample_rand=0.250000, " "other-vendor-value-2=foo;bar;" ) # child transaction, to prove that we can read 'sentry-trace' header data correctly - child_transaction = Transaction.continue_from_headers(headers, name="WRONG") + child_transaction = continue_trace(headers, name="WRONG") assert child_transaction is not None assert child_transaction.parent_sampled == parent_sampled assert child_transaction.trace_id == old_span.trace_id @@ -98,6 +97,7 @@ def test_continue_from_headers( "public_key": "49d0f7386ad645858ae85020e393bef3", "trace_id": "771a43a4192642f0b136d5159a501700", "user_id": "Amelie", + "sample_rand": "0.250000", "sample_rate": "0.01337", } @@ -143,6 +143,7 @@ def test_continue_from_headers( "public_key": "49d0f7386ad645858ae85020e393bef3", "trace_id": "771a43a4192642f0b136d5159a501700", "user_id": "Amelie", + "sample_rand": "0.250000", "sample_rate": expected_sample_rate, } @@ -172,14 +173,10 @@ def test_dynamic_sampling_head_sdk_creates_dsc( # make sure transaction is sampled for both cases with mock.patch("sentry_sdk.tracing_utils.Random.randrange", return_value=250000): - transaction = Transaction.continue_from_headers({}, name="Head SDK tx") + transaction = continue_trace({}, name="Head SDK tx") - # will create empty mutable baggage baggage = transaction._baggage - assert baggage - assert baggage.mutable - assert baggage.sentry_items == {} - assert baggage.third_party_items == "" + assert baggage is None with start_transaction(transaction): with start_span(op="foo", name="foodesc"): @@ -291,7 +288,7 @@ def capture_event(self, event): def test_trace_propagation_meta_head_sdk(sentry_init): sentry_init(traces_sample_rate=1.0, release="foo") - transaction = Transaction.continue_from_headers({}, name="Head SDK tx") + transaction = continue_trace({}, name="Head SDK tx") meta = None span = None diff --git a/tests/tracing/test_sampling.py b/tests/tracing/test_sampling.py index 63da5a1399..c0f307ecf7 100644 --- a/tests/tracing/test_sampling.py +++ b/tests/tracing/test_sampling.py @@ -5,8 +5,7 @@ import pytest import sentry_sdk -from sentry_sdk import start_span, start_transaction, capture_exception -from sentry_sdk.tracing import Transaction +from sentry_sdk import start_span, start_transaction, capture_exception, continue_trace from sentry_sdk.tracing_utils import Baggage from sentry_sdk.utils import logger @@ -196,8 +195,9 @@ def test_passes_parent_sampling_decision_in_sampling_context( ) ) - transaction = Transaction.continue_from_headers( - headers={"sentry-trace": sentry_trace_header}, name="dogpark" + transaction = sentry_sdk.continue_trace( + {"sentry-trace": sentry_trace_header}, + name="dogpark", ) def mock_set_initial_sampling_decision(_, sampling_context): From a76280bc3060d277e6ce749ff8c4ffab5b8ed12f Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Thu, 27 Nov 2025 11:50:08 +0100 Subject: [PATCH 32/51] ci: Add auto-label GH action (#5163) ### Description Add a GH action that auto-labels PRs based on title. If a PR is opened or edited, the action: - reads the existing labels - if there already is a Changelog label, it terminates early to not overwrite whatever the developer chose - if there is no Changelog label, it reads the PR title and matches it against a map of common patterns - if it matches, the label is added - if there is no match, it doesn't add a label #### Issues #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- .github/release.yml | 5 +++ .github/workflows/pr-labeler.yml | 72 ++++++++++++++++++++++++++++++++ 2 files changed, 77 insertions(+) create mode 100644 .github/workflows/pr-labeler.yml diff --git a/.github/release.yml b/.github/release.yml index 21e093324e..72e8208ad1 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -1,3 +1,8 @@ +# This configuration is used by Craft to categorize changelog entries based on +# PR labels. To avoid some manual work, there is a PR labeling GitHub action in +# .github/workflows/pr-labeler.yml that adds a changelog label to PRs based on +# the title. + changelog: exclude: labels: diff --git a/.github/workflows/pr-labeler.yml b/.github/workflows/pr-labeler.yml new file mode 100644 index 0000000000..c489de30d4 --- /dev/null +++ b/.github/workflows/pr-labeler.yml @@ -0,0 +1,72 @@ +# This action adds changelog labels to PRs that are then used by the release +# notes generator in Craft. The configuration for which labels map to what +# changelog categories can be found in .github/release.yml. + +name: Label PR for Changelog + +on: + pull_request: + types: [opened, edited] + +permissions: + pull-requests: write + +jobs: + label: + runs-on: ubuntu-latest + steps: + - name: Add changelog label + uses: actions/github-script@v7 + with: + script: | + const title = context.payload.pull_request.title.toLowerCase(); + const prNumber = context.payload.pull_request.number; + + // Get current labels + const { data: currentLabels } = await github.rest.issues.listLabelsOnIssue({ + owner: context.repo.owner, + repo: context.repo.repo, + issue_number: prNumber, + }); + + // Check if a Changelog label already exists + const hasChangelogLabel = currentLabels.some(label => + label.name.startsWith('Changelog:') || label.name === 'skip-changelog' + ); + + if (hasChangelogLabel) { + console.log('PR already has a Changelog label, skipping'); + return; + } + + // Determine which label to apply + let newLabel = null; + + if (title.includes('deprecate')) { + newLabel = 'Changelog: Deprecation'; + } else if (title.startsWith('feat')) { + newLabel = 'Changelog: Feature'; + } else if (title.startsWith('fix') || title.startsWith('bugfix')) { + newLabel = 'Changelog: Bugfix'; + } else if (title.startsWith('docs')) { + newLabel = 'Changelog: Docs'; + } else if (title.startsWith('ref') || title.startsWith('test')) { + newLabel = 'Changelog: Internal'; + } else if (title.startsWith('ci') || title.startsWith('build')) { + newLabel = 'skip-changelog'; + } + + // Apply the new label if one was determined + if (newLabel) { + await github.rest.issues.addLabels({ + owner: context.repo.owner, + repo: context.repo.repo, + issue_number: prNumber, + labels: [newLabel], + }); + + console.log(`Applied label: ${newLabel}`); + } else { + console.log('No matching label pattern found in PR title, please add manually'); + } + From 828e513e566b69a5fcced2bb261b85f5031bb4b3 Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Thu, 27 Nov 2025 13:39:59 +0100 Subject: [PATCH 33/51] fix(integrations): add the system prompt to the `gen_ai.request.messages` attribute (#5161) --- sentry_sdk/integrations/anthropic.py | 33 +- .../integrations/anthropic/test_anthropic.py | 433 ++++++++++++++++++ 2 files changed, 462 insertions(+), 4 deletions(-) diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py index 232b6aab83..553e703b62 100644 --- a/sentry_sdk/integrations/anthropic.py +++ b/sentry_sdk/integrations/anthropic.py @@ -1,9 +1,11 @@ +from collections.abc import Iterable from functools import wraps from typing import TYPE_CHECKING import sentry_sdk from sentry_sdk.ai.monitoring import record_token_usage from sentry_sdk.ai.utils import ( + GEN_AI_ALLOWED_MESSAGE_ROLES, set_data_normalized, normalize_message_roles, truncate_and_annotate_messages, @@ -39,7 +41,7 @@ raise DidNotEnable("Anthropic not installed") if TYPE_CHECKING: - from typing import Any, AsyncIterator, Iterator + from typing import Any, AsyncIterator, Iterator, List, Optional, Union from sentry_sdk.tracing import Span @@ -122,6 +124,7 @@ def _set_input_data(span, kwargs, integration): """ Set input data for the span based on the provided keyword arguments for the anthropic message creation. """ + system_prompt = kwargs.get("system") messages = kwargs.get("messages") if ( messages is not None @@ -130,9 +133,31 @@ def _set_input_data(span, kwargs, integration): and integration.include_prompts ): normalized_messages = [] + if system_prompt: + system_prompt_content = None # type: Optional[Union[str, List[dict[str, Any]]]] + if isinstance(system_prompt, str): + system_prompt_content = system_prompt + elif isinstance(system_prompt, Iterable): + system_prompt_content = [] + for item in system_prompt: + if ( + isinstance(item, dict) + and item.get("type") == "text" + and item.get("text") + ): + system_prompt_content.append(item.copy()) + + if system_prompt_content: + normalized_messages.append( + { + "role": GEN_AI_ALLOWED_MESSAGE_ROLES.SYSTEM, + "content": system_prompt_content, + } + ) + for message in messages: if ( - message.get("role") == "user" + message.get("role") == GEN_AI_ALLOWED_MESSAGE_ROLES.USER and "content" in message and isinstance(message["content"], (list, tuple)) ): @@ -140,8 +165,8 @@ def _set_input_data(span, kwargs, integration): if item.get("type") == "tool_result": normalized_messages.append( { - "role": "tool", - "content": { + "role": GEN_AI_ALLOWED_MESSAGE_ROLES.TOOL, + "content": { # type: ignore[dict-item] "tool_use_id": item.get("tool_use_id"), "output": item.get("content"), }, diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py index 1fe2ff5d28..c1d449f892 100644 --- a/tests/integrations/anthropic/test_anthropic.py +++ b/tests/integrations/anthropic/test_anthropic.py @@ -996,3 +996,436 @@ def test_anthropic_message_truncation(sentry_init, capture_events): assert "small message 4" in str(parsed_messages[0]) assert "small message 5" in str(parsed_messages[1]) assert tx["_meta"]["spans"]["0"]["data"]["gen_ai.request.messages"][""]["len"] == 5 + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +def test_nonstreaming_create_message_with_system_prompt( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES.""" + sentry_init( + integrations=[AnthropicIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + client = Anthropic(api_key="z") + client.messages._post = mock.Mock(return_value=EXAMPLE_MESSAGE) + + messages = [ + { + "role": "user", + "content": "Hello, Claude", + } + ] + + with start_transaction(name="anthropic"): + response = client.messages.create( + max_tokens=1024, + messages=messages, + model="model", + system="You are a helpful assistant.", + ) + + assert response == EXAMPLE_MESSAGE + usage = response.usage + + assert usage.input_tokens == 10 + assert usage.output_tokens == 20 + + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "anthropic" + + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_CHAT + assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" + + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] + stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) + assert len(stored_messages) == 2 + # System message should be first + assert stored_messages[0]["role"] == "system" + assert stored_messages[0]["content"] == "You are a helpful assistant." + # User message should be second + assert stored_messages[1]["role"] == "user" + assert stored_messages[1]["content"] == "Hello, Claude" + assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi, I'm Claude." + else: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] + + assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30 + assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +async def test_nonstreaming_create_message_with_system_prompt_async( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that system prompts are properly captured in GEN_AI_REQUEST_MESSAGES (async).""" + sentry_init( + integrations=[AnthropicIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + client = AsyncAnthropic(api_key="z") + client.messages._post = AsyncMock(return_value=EXAMPLE_MESSAGE) + + messages = [ + { + "role": "user", + "content": "Hello, Claude", + } + ] + + with start_transaction(name="anthropic"): + response = await client.messages.create( + max_tokens=1024, + messages=messages, + model="model", + system="You are a helpful assistant.", + ) + + assert response == EXAMPLE_MESSAGE + usage = response.usage + + assert usage.input_tokens == 10 + assert usage.output_tokens == 20 + + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "anthropic" + + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_CHAT + assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" + + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] + stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) + assert len(stored_messages) == 2 + # System message should be first + assert stored_messages[0]["role"] == "system" + assert stored_messages[0]["content"] == "You are a helpful assistant." + # User message should be second + assert stored_messages[1]["role"] == "user" + assert stored_messages[1]["content"] == "Hello, Claude" + assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi, I'm Claude." + else: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] + + assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 20 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 30 + assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is False + + +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +def test_streaming_create_message_with_system_prompt( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that system prompts are properly captured in streaming mode.""" + client = Anthropic(api_key="z") + returned_stream = Stream(cast_to=None, response=None, client=client) + returned_stream._iterator = [ + MessageStartEvent( + message=EXAMPLE_MESSAGE, + type="message_start", + ), + ContentBlockStartEvent( + type="content_block_start", + index=0, + content_block=TextBlock(type="text", text=""), + ), + ContentBlockDeltaEvent( + delta=TextDelta(text="Hi", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockDeltaEvent( + delta=TextDelta(text="!", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockDeltaEvent( + delta=TextDelta(text=" I'm Claude!", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockStopEvent(type="content_block_stop", index=0), + MessageDeltaEvent( + delta=Delta(), + usage=MessageDeltaUsage(output_tokens=10), + type="message_delta", + ), + ] + + sentry_init( + integrations=[AnthropicIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + client.messages._post = mock.Mock(return_value=returned_stream) + + messages = [ + { + "role": "user", + "content": "Hello, Claude", + } + ] + + with start_transaction(name="anthropic"): + message = client.messages.create( + max_tokens=1024, + messages=messages, + model="model", + stream=True, + system="You are a helpful assistant.", + ) + + for _ in message: + pass + + assert message == returned_stream + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "anthropic" + + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_CHAT + assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" + + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] + stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) + assert len(stored_messages) == 2 + # System message should be first + assert stored_messages[0]["role"] == "system" + assert stored_messages[0]["content"] == "You are a helpful assistant." + # User message should be second + assert stored_messages[1]["role"] == "user" + assert stored_messages[1]["content"] == "Hello, Claude" + assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!" + + else: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] + + assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "send_default_pii, include_prompts", + [ + (True, True), + (True, False), + (False, True), + (False, False), + ], +) +async def test_streaming_create_message_with_system_prompt_async( + sentry_init, capture_events, send_default_pii, include_prompts +): + """Test that system prompts are properly captured in streaming mode (async).""" + client = AsyncAnthropic(api_key="z") + returned_stream = AsyncStream(cast_to=None, response=None, client=client) + returned_stream._iterator = async_iterator( + [ + MessageStartEvent( + message=EXAMPLE_MESSAGE, + type="message_start", + ), + ContentBlockStartEvent( + type="content_block_start", + index=0, + content_block=TextBlock(type="text", text=""), + ), + ContentBlockDeltaEvent( + delta=TextDelta(text="Hi", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockDeltaEvent( + delta=TextDelta(text="!", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockDeltaEvent( + delta=TextDelta(text=" I'm Claude!", type="text_delta"), + index=0, + type="content_block_delta", + ), + ContentBlockStopEvent(type="content_block_stop", index=0), + MessageDeltaEvent( + delta=Delta(), + usage=MessageDeltaUsage(output_tokens=10), + type="message_delta", + ), + ] + ) + + sentry_init( + integrations=[AnthropicIntegration(include_prompts=include_prompts)], + traces_sample_rate=1.0, + send_default_pii=send_default_pii, + ) + events = capture_events() + client.messages._post = AsyncMock(return_value=returned_stream) + + messages = [ + { + "role": "user", + "content": "Hello, Claude", + } + ] + + with start_transaction(name="anthropic"): + message = await client.messages.create( + max_tokens=1024, + messages=messages, + model="model", + stream=True, + system="You are a helpful assistant.", + ) + + async for _ in message: + pass + + assert message == returned_stream + assert len(events) == 1 + (event,) = events + + assert event["type"] == "transaction" + assert event["transaction"] == "anthropic" + + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert span["op"] == OP.GEN_AI_CHAT + assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" + + if send_default_pii and include_prompts: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] + stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) + assert len(stored_messages) == 2 + # System message should be first + assert stored_messages[0]["role"] == "system" + assert stored_messages[0]["content"] == "You are a helpful assistant." + # User message should be second + assert stored_messages[1]["role"] == "user" + assert stored_messages[1]["content"] == "Hello, Claude" + assert span["data"][SPANDATA.GEN_AI_RESPONSE_TEXT] == "Hi! I'm Claude!" + + else: + assert SPANDATA.GEN_AI_REQUEST_MESSAGES not in span["data"] + assert SPANDATA.GEN_AI_RESPONSE_TEXT not in span["data"] + + assert span["data"][SPANDATA.GEN_AI_USAGE_INPUT_TOKENS] == 10 + assert span["data"][SPANDATA.GEN_AI_USAGE_OUTPUT_TOKENS] == 30 + assert span["data"][SPANDATA.GEN_AI_USAGE_TOTAL_TOKENS] == 40 + assert span["data"][SPANDATA.GEN_AI_RESPONSE_STREAMING] is True + + +def test_system_prompt_with_complex_structure(sentry_init, capture_events): + """Test that complex system prompt structures (list of text blocks) are properly captured.""" + sentry_init( + integrations=[AnthropicIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + client = Anthropic(api_key="z") + client.messages._post = mock.Mock(return_value=EXAMPLE_MESSAGE) + + # System prompt as list of text blocks + system_prompt = [ + {"type": "text", "text": "You are a helpful assistant."}, + {"type": "text", "text": "Be concise and clear."}, + ] + + messages = [ + { + "role": "user", + "content": "Hello", + } + ] + + with start_transaction(name="anthropic"): + response = client.messages.create( + max_tokens=1024, messages=messages, model="model", system=system_prompt + ) + + assert response == EXAMPLE_MESSAGE + assert len(events) == 1 + (event,) = events + + assert len(event["spans"]) == 1 + (span,) = event["spans"] + + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] + stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) + + # Should have system message first, then user message + assert len(stored_messages) == 2 + assert stored_messages[0]["role"] == "system" + # System content should be a list of text blocks + assert isinstance(stored_messages[0]["content"], list) + assert len(stored_messages[0]["content"]) == 2 + assert stored_messages[0]["content"][0]["type"] == "text" + assert stored_messages[0]["content"][0]["text"] == "You are a helpful assistant." + assert stored_messages[0]["content"][1]["type"] == "text" + assert stored_messages[0]["content"][1]["text"] == "Be concise and clear." + assert stored_messages[1]["role"] == "user" + assert stored_messages[1]["content"] == "Hello" From 5fc28a1c748868cb9015c0b8c8ce8f27bcec4536 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Thu, 27 Nov 2025 17:09:16 +0100 Subject: [PATCH 34/51] Add org_id support (#5166) ### Description implement part 1 of https://develop.sentry.dev/sdk/telemetry/traces/#stricttracecontinuation * Parse `org_id` in `Dsn` constructor * Expose`parsed_dsn` property on `Client` and use it in some places to avoid parsing `Dsn` again * New explicit init option `org_id` that overrides the `org_id` from the `parsed_dsn` if provided * Add `org_id` onto populated DSC as head SDK #### Issues * part of: #5066 * part of: PY-1963 --- sentry_sdk/client.py | 12 +++ sentry_sdk/consts.py | 5 ++ .../opentelemetry/span_processor.py | 14 +--- sentry_sdk/tracing_utils.py | 12 ++- sentry_sdk/transport.py | 2 +- sentry_sdk/utils.py | 12 ++- .../opentelemetry/test_span_processor.py | 3 +- tests/test_dsc.py | 73 +++++++++++++++++-- tests/utils/test_general.py | 12 +++ 9 files changed, 119 insertions(+), 26 deletions(-) diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py index fa17dbe18c..c831675314 100644 --- a/sentry_sdk/client.py +++ b/sentry_sdk/client.py @@ -70,6 +70,7 @@ from sentry_sdk.transport import Transport, Item from sentry_sdk._log_batcher import LogBatcher from sentry_sdk._metrics_batcher import MetricsBatcher + from sentry_sdk.utils import Dsn I = TypeVar("I", bound=Integration) # noqa: E741 @@ -201,6 +202,11 @@ def dsn(self): # type: () -> Optional[str] return None + @property + def parsed_dsn(self): + # type: () -> Optional[Dsn] + return None + def should_send_default_pii(self): # type: () -> bool return False @@ -512,6 +518,12 @@ def dsn(self): """Returns the configured DSN as string.""" return self.options["dsn"] + @property + def parsed_dsn(self): + # type: () -> Optional[Dsn] + """Returns the configured parsed DSN object.""" + return self.transport.parsed_dsn if self.transport else None + def _prepare_event( self, event, # type: Event diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 3d719401fe..efda932943 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -1023,6 +1023,7 @@ def __init__( trace_ignore_status_codes=frozenset(), # type: AbstractSet[int] enable_metrics=True, # type: bool before_send_metric=None, # type: Optional[Callable[[Metric, Hint], Optional[Metric]]] + org_id=None, # type: Optional[str] ): # type: (...) -> None """Initialize the Sentry SDK with the given parameters. All parameters described here can be used in a call to `sentry_sdk.init()`. @@ -1426,6 +1427,10 @@ def __init__( If `trace_ignore_status_codes` is not provided, requests with any status code may be traced. + :param org_id: An optional organization ID. The SDK will try to extract if from the DSN in most cases + but you can provide it explicitly for self-hosted and Relay setups. This value is used for + trace propagation and for features like `strict_trace_continuation`. + :param _experiments: """ pass diff --git a/sentry_sdk/integrations/opentelemetry/span_processor.py b/sentry_sdk/integrations/opentelemetry/span_processor.py index e00562a509..32142b640b 100644 --- a/sentry_sdk/integrations/opentelemetry/span_processor.py +++ b/sentry_sdk/integrations/opentelemetry/span_processor.py @@ -23,7 +23,6 @@ ) from sentry_sdk.scope import add_global_event_processor from sentry_sdk.tracing import Transaction, Span as SentrySpan -from sentry_sdk.utils import Dsn from urllib3.util import parse_url as urlparse @@ -113,12 +112,7 @@ def on_start(self, otel_span, parent_context=None): # type: (OTelSpan, Optional[context_api.Context]) -> None client = get_client() - if not client.dsn: - return - - try: - _ = Dsn(client.dsn) - except Exception: + if not client.parsed_dsn: return if client.options["instrumenter"] != INSTRUMENTER.OTEL: @@ -233,10 +227,8 @@ def _is_sentry_span(self, otel_span): otel_span_url = otel_span.attributes.get(SpanAttributes.HTTP_URL) otel_span_url = cast("Optional[str]", otel_span_url) - dsn_url = None - client = get_client() - if client.dsn: - dsn_url = Dsn(client.dsn).netloc + parsed_dsn = get_client().parsed_dsn + dsn_url = parsed_dsn.netloc if parsed_dsn else None if otel_span_url and dsn_url and dsn_url in otel_span_url: return True diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index 472bd6bbdd..9d92b53be4 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -664,8 +664,10 @@ def from_options(cls, scope): if options.get("release"): sentry_items["release"] = options["release"] - if options.get("dsn"): - sentry_items["public_key"] = Dsn(options["dsn"]).public_key + if client.parsed_dsn: + sentry_items["public_key"] = client.parsed_dsn.public_key + if client.parsed_dsn.org_id: + sentry_items["org_id"] = client.parsed_dsn.org_id if options.get("traces_sample_rate"): sentry_items["sample_rate"] = str(options["traces_sample_rate"]) @@ -696,8 +698,10 @@ def populate_from_transaction(cls, transaction): if options.get("release"): sentry_items["release"] = options["release"] - if options.get("dsn"): - sentry_items["public_key"] = Dsn(options["dsn"]).public_key + if client.parsed_dsn: + sentry_items["public_key"] = client.parsed_dsn.public_key + if client.parsed_dsn.org_id: + sentry_items["org_id"] = client.parsed_dsn.org_id if ( transaction.name diff --git a/sentry_sdk/transport.py b/sentry_sdk/transport.py index 78e4cd21c6..07274e9278 100644 --- a/sentry_sdk/transport.py +++ b/sentry_sdk/transport.py @@ -70,7 +70,7 @@ def __init__(self, options=None): # type: (Self, Optional[Dict[str, Any]]) -> None self.options = options if options and options["dsn"] is not None and options["dsn"]: - self.parsed_dsn = Dsn(options["dsn"]) + self.parsed_dsn = Dsn(options["dsn"], options.get("org_id")) else: self.parsed_dsn = None diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py index d6dd5c29b2..aeb622ec8a 100644 --- a/sentry_sdk/utils.py +++ b/sentry_sdk/utils.py @@ -294,8 +294,10 @@ class BadDsn(ValueError): class Dsn: """Represents a DSN.""" - def __init__(self, value): - # type: (Union[Dsn, str]) -> None + ORG_ID_REGEX = re.compile(r"^o(\d+)\.") + + def __init__(self, value, org_id=None): + # type: (Union[Dsn, str], Optional[str]) -> None if isinstance(value, Dsn): self.__dict__ = dict(value.__dict__) return @@ -310,6 +312,12 @@ def __init__(self, value): self.host = parts.hostname + if org_id is not None: + self.org_id = org_id # type: Optional[str] + else: + org_id_match = Dsn.ORG_ID_REGEX.match(self.host) + self.org_id = org_id_match.group(1) if org_id_match else None + if parts.port is None: self.port = self.scheme == "https" and 443 or 80 # type: int else: diff --git a/tests/integrations/opentelemetry/test_span_processor.py b/tests/integrations/opentelemetry/test_span_processor.py index cbee14f4d6..af5cbdd3fb 100644 --- a/tests/integrations/opentelemetry/test_span_processor.py +++ b/tests/integrations/opentelemetry/test_span_processor.py @@ -11,6 +11,7 @@ SentrySpanProcessor, link_trace_context_to_error_event, ) +from sentry_sdk.utils import Dsn from sentry_sdk.tracing import Span, Transaction from sentry_sdk.tracing_utils import extract_sentrytrace_data @@ -23,7 +24,7 @@ def test_is_sentry_span(): client = MagicMock() client.options = {"instrumenter": "otel"} - client.dsn = "https://1234567890abcdef@o123456.ingest.sentry.io/123456" + client.parsed_dsn = Dsn("https://1234567890abcdef@o123456.ingest.sentry.io/123456") sentry_sdk.get_global_scope().set_client(client) assert not span_processor._is_sentry_span(otel_span) diff --git a/tests/test_dsc.py b/tests/test_dsc.py index 6097af7f95..e5ac0af30e 100644 --- a/tests/test_dsc.py +++ b/tests/test_dsc.py @@ -13,7 +13,19 @@ import pytest import sentry_sdk -import sentry_sdk.client +from sentry_sdk.transport import Transport +from sentry_sdk.envelope import Envelope + + +class TransportWithOptions(Transport): + """conftest.TestTransport does not pass in the options so we need this here""" + + def __init__(self, options=None): + Transport.__init__(self, options) + + def capture_envelope(self, _: Envelope) -> None: + """No-op capture_envelope for tests""" + pass def test_dsc_head_of_trace(sentry_init, capture_envelopes): @@ -22,10 +34,11 @@ def test_dsc_head_of_trace(sentry_init, capture_envelopes): and sends a transaction event to Sentry. """ sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, + transport=TransportWithOptions, ) envelopes = capture_envelopes() @@ -45,6 +58,10 @@ def test_dsc_head_of_trace(sentry_init, capture_envelopes): assert type(envelope_trace_header["public_key"]) == str assert envelope_trace_header["public_key"] == "mysecret" + assert "org_id" in envelope_trace_header + assert type(envelope_trace_header["org_id"]) == str + assert envelope_trace_header["org_id"] == "1234" + assert "sample_rate" in envelope_trace_header assert type(envelope_trace_header["sample_rate"]) == str assert envelope_trace_header["sample_rate"] == "1.0" @@ -66,16 +83,46 @@ def test_dsc_head_of_trace(sentry_init, capture_envelopes): assert envelope_trace_header["transaction"] == "foo" +def test_dsc_head_of_trace_uses_custom_org_id(sentry_init, capture_envelopes): + """ + Our service is the head of the trace (it starts a new trace) + and sends a transaction event to Sentry. + """ + sentry_init( + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", + org_id="9999", + release="myapp@0.0.1", + environment="canary", + traces_sample_rate=1.0, + transport=TransportWithOptions, + ) + envelopes = capture_envelopes() + + # We start a new transaction + with sentry_sdk.start_transaction(name="foo"): + pass + + assert len(envelopes) == 1 + + transaction_envelope = envelopes[0] + envelope_trace_header = transaction_envelope.headers["trace"] + + assert "org_id" in envelope_trace_header + assert type(envelope_trace_header["org_id"]) == str + assert envelope_trace_header["org_id"] == "9999" + + def test_dsc_continuation_of_trace(sentry_init, capture_envelopes): """ Another service calls our service and passes tracing information to us. Our service is continuing the trace and sends a transaction event to Sentry. """ sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, + transport=TransportWithOptions, ) envelopes = capture_envelopes() @@ -149,10 +196,11 @@ def my_traces_sampler(sampling_context): return 0.25 sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", traces_sampler=my_traces_sampler, + transport=TransportWithOptions, ) envelopes = capture_envelopes() @@ -219,9 +267,10 @@ def test_dsc_issue(sentry_init, capture_envelopes): Our service is a standalone service that does not have tracing enabled. Just uses Sentry for error reporting. """ sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", + transport=TransportWithOptions, ) envelopes = capture_envelopes() @@ -244,6 +293,10 @@ def test_dsc_issue(sentry_init, capture_envelopes): assert type(envelope_trace_header["public_key"]) == str assert envelope_trace_header["public_key"] == "mysecret" + assert "org_id" in envelope_trace_header + assert type(envelope_trace_header["org_id"]) == str + assert envelope_trace_header["org_id"] == "1234" + assert "sample_rate" not in envelope_trace_header assert "sampled" not in envelope_trace_header @@ -265,10 +318,11 @@ def test_dsc_issue_with_tracing(sentry_init, capture_envelopes): Envelopes containing errors also have the same DSC than the transaction envelopes. """ sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, + transport=TransportWithOptions, ) envelopes = capture_envelopes() @@ -294,6 +348,10 @@ def test_dsc_issue_with_tracing(sentry_init, capture_envelopes): assert type(envelope_trace_header["public_key"]) == str assert envelope_trace_header["public_key"] == "mysecret" + assert "org_id" in envelope_trace_header + assert type(envelope_trace_header["org_id"]) == str + assert envelope_trace_header["org_id"] == "1234" + assert "sample_rate" in envelope_trace_header assert envelope_trace_header["sample_rate"] == "1.0" assert type(envelope_trace_header["sample_rate"]) == str @@ -332,10 +390,11 @@ def test_dsc_issue_twp(sentry_init, capture_envelopes, traces_sample_rate): (This test would be service B in this scenario) """ sentry_init( - dsn="https://mysecret@bla.ingest.sentry.io/12312012", + dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", traces_sample_rate=traces_sample_rate, + transport=TransportWithOptions, ) envelopes = capture_envelopes() diff --git a/tests/utils/test_general.py b/tests/utils/test_general.py index 04e82b8c5c..6a06abe68a 100644 --- a/tests/utils/test_general.py +++ b/tests/utils/test_general.py @@ -119,6 +119,18 @@ def test_parse_dsn_paths(given, expected_envelope): assert auth.get_api_url(EndpointType.ENVELOPE) == expected_envelope +@pytest.mark.parametrize( + "given,expected", + [ + ("https://foobar@sentry.io/123", None), + ("https://foobar@o1234.ingest.sentry.io/123", "1234"), + ], +) +def test_parse_dsn_org_id(given, expected): + dsn = Dsn(given) + assert dsn.org_id == expected + + @pytest.mark.parametrize( "dsn", [ From 176c7d4b9638a072a426cd06135f8e94ffbd5fb6 Mon Sep 17 00:00:00 2001 From: Simon Hellmayr Date: Fri, 28 Nov 2025 10:22:35 +0100 Subject: [PATCH 35/51] fix(langchain): add gen_ai.response.model to chat spans (#5159) --- sentry_sdk/integrations/langchain.py | 4 +- .../integrations/langchain/test_langchain.py | 61 +++++++++++++++++++ 2 files changed, 64 insertions(+), 1 deletion(-) diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py index 1d3646f1c3..dca470b749 100644 --- a/sentry_sdk/integrations/langchain.py +++ b/sentry_sdk/integrations/langchain.py @@ -443,7 +443,9 @@ def on_llm_end(self, response, *, run_id, **kwargs): if generation is not None: try: - response_model = generation.generation_info.get("model_name") + response_model = generation.message.response_metadata.get( + "model_name" + ) if response_model is not None: span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model) except AttributeError: diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py index 9f74e5f47c..114e819bfb 100644 --- a/tests/integrations/langchain/test_langchain.py +++ b/tests/integrations/langchain/test_langchain.py @@ -1686,3 +1686,64 @@ def test_langchain_embeddings_with_list_and_string_inputs(sentry_init, capture_e assert "List item" in input_data or "Single string query" in input_data, ( f"Expected input text in serialized data: {input_data}" ) + + +@pytest.mark.parametrize( + "response_metadata_model,expected_model", + [ + ("gpt-3.5-turbo", "gpt-3.5-turbo"), + (None, None), + ], +) +def test_langchain_response_model_extraction( + sentry_init, + capture_events, + response_metadata_model, + expected_model, +): + sentry_init( + integrations=[LangchainIntegration(include_prompts=True)], + traces_sample_rate=1.0, + send_default_pii=True, + ) + events = capture_events() + + callback = SentryLangchainCallback(max_span_map_size=100, include_prompts=True) + + run_id = "test-response-model-uuid" + serialized = {"_type": "openai-chat", "model_name": "gpt-3.5-turbo"} + prompts = ["Test prompt"] + + with start_transaction(): + callback.on_llm_start( + serialized=serialized, + prompts=prompts, + run_id=run_id, + invocation_params={"model": "gpt-3.5-turbo"}, + ) + + response_metadata = {"model_name": response_metadata_model} + message = AIMessageChunk( + content="Test response", response_metadata=response_metadata + ) + + generation = Mock(text="Test response", message=message) + response = Mock(generations=[[generation]]) + callback.on_llm_end(response=response, run_id=run_id) + + assert len(events) > 0 + tx = events[0] + assert tx["type"] == "transaction" + + llm_spans = [ + span for span in tx.get("spans", []) if span.get("op") == "gen_ai.pipeline" + ] + assert len(llm_spans) > 0 + + llm_span = llm_spans[0] + + if expected_model is not None: + assert SPANDATA.GEN_AI_RESPONSE_MODEL in llm_span["data"] + assert llm_span["data"][SPANDATA.GEN_AI_RESPONSE_MODEL] == expected_model + else: + assert SPANDATA.GEN_AI_RESPONSE_MODEL not in llm_span.get("data", {}) From 71afdf99f5cb821b1253e6644ea755003ca41427 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 07:34:55 +0000 Subject: [PATCH 36/51] =?UTF-8?q?ci:=20=F0=9F=A4=96=20Update=20test=20matr?= =?UTF-8?q?ix=20with=20new=20releases=20(12/01)=20(#5173)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Update our test matrix with new releases of integrated frameworks and libraries. ## How it works - Scan PyPI for all supported releases of all frameworks we have a dedicated test suite for. - Pick a representative sample of releases to run our test suite against. We always test the latest and oldest supported version. - Update [tox.ini](https://github.com/getsentry/sentry-python/blob/master/tox.ini) with the new releases. ## Action required - If CI passes on this PR, it's safe to approve and merge. It means our integrations can handle new versions of frameworks that got pulled in. - If CI doesn't pass on this PR, this points to an incompatibility of either our integration or our test setup with a new version of a framework. - Check what the failures look like and either fix them, or update the [test config](https://github.com/getsentry/sentry-python/blob/master/scripts/populate_tox/config.py) and rerun [scripts/generate-test-files.sh](https://github.com/getsentry/sentry-python/blob/master/scripts/generate-test-files.sh). See [scripts/populate_tox/README.md](https://github.com/getsentry/sentry-python/blob/master/scripts/populate_tox/README.md) for what configuration options are available. _____________________ _🤖 This PR was automatically created using [a GitHub action](https://github.com/getsentry/sentry-python/blob/master/.github/workflows/update-tox.yml)._ --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Ivana Kellyer --- scripts/populate_tox/config.py | 8 +- .../populate_tox/package_dependencies.jsonl | 8 +- scripts/populate_tox/releases.jsonl | 43 ++-- tox.ini | 239 +++++++++--------- 4 files changed, 157 insertions(+), 141 deletions(-) diff --git a/scripts/populate_tox/config.py b/scripts/populate_tox/config.py index 0277d0a3cd..9d5e97846b 100644 --- a/scripts/populate_tox/config.py +++ b/scripts/populate_tox/config.py @@ -235,7 +235,13 @@ "litestar": { "package": "litestar", "deps": { - "*": ["pytest-asyncio", 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2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6"], "name": "redis", "requires_python": "", "version": "2.10.6", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "redis-2.10.6-py2.py3-none-any.whl"}, {"packagetype": "sdist", "filename": "redis-2.10.6.tar.gz"}]} diff --git a/tox.ini b/tox.ini index cf911a56a8..25e85b9d01 100644 --- a/tox.ini +++ b/tox.ini @@ -52,11 +52,48 @@ envlist = # === Integrations - Auto-generated === # These come from the populate_tox.py script. + # ~~~ MCP ~~~ + {py3.10,py3.12,py3.13}-mcp-v1.15.0 + {py3.10,py3.12,py3.13}-mcp-v1.17.0 + {py3.10,py3.12,py3.13}-mcp-v1.19.0 + {py3.10,py3.12,py3.13}-mcp-v1.22.0 + + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 + {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 + {py3.10,py3.12,py3.13}-fastmcp-v2.13.1 + + + # ~~~ Agents ~~~ + {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 + {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 + {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.1 + + {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.8.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.16.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.25.1 + + + # ~~~ AI Workflow ~~~ + {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 + {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 + {py3.10,py3.13,py3.14}-langchain-base-v1.1.0 + + {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 + {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.1.0 + + {py3.9,py3.13,py3.14}-langgraph-v0.6.11 + {py3.10,py3.12,py3.13}-langgraph-v1.0.4 + + # ~~~ AI ~~~ {py3.8,py3.11,py3.12}-anthropic-v0.16.0 - {py3.8,py3.11,py3.12}-anthropic-v0.35.0 - {py3.8,py3.11,py3.12}-anthropic-v0.54.0 - {py3.9,py3.12,py3.13}-anthropic-v0.74.1 + {py3.8,py3.11,py3.12}-anthropic-v0.36.2 + {py3.8,py3.11,py3.12}-anthropic-v0.56.0 + {py3.9,py3.12,py3.13}-anthropic-v0.75.0 {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 @@ -70,33 +107,12 @@ envlist = {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.5 - - {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 - {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.0.8 - - {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 - {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.0.8 - - {py3.9,py3.13,py3.14}-langgraph-v0.6.11 - {py3.10,py3.12,py3.13}-langgraph-v1.0.3 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.6 {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 {py3.9,py3.12,py3.13}-litellm-v1.79.3 - {py3.9,py3.12,py3.13}-litellm-v1.80.5 - - {py3.10,py3.12,py3.13}-mcp-v1.15.0 - {py3.10,py3.12,py3.13}-mcp-v1.17.0 - {py3.10,py3.12,py3.13}-mcp-v1.19.0 - {py3.10,py3.12,py3.13}-mcp-v1.22.0 - - {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 - {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 - {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.13.1 + {py3.9,py3.12,py3.13}-litellm-v1.80.7 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 @@ -106,22 +122,12 @@ envlist = {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 {py3.9,py3.12,py3.13}-openai-notiktoken-v2.8.1 - {py3.10,py3.11,py3.12}-openai_agents-v0.0.19 - {py3.10,py3.12,py3.13}-openai_agents-v0.2.11 - {py3.10,py3.12,py3.13}-openai_agents-v0.4.2 - {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.1 - - {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.7.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.14.1 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.22.0 - # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.41.2 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.0 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -129,9 +135,9 @@ envlist = # ~~~ DBs ~~~ {py3.7,py3.8,py3.9}-asyncpg-v0.23.0 - {py3.7,py3.9,py3.10}-asyncpg-v0.25.0 - {py3.7,py3.9,py3.10}-asyncpg-v0.27.0 - {py3.8,py3.11,py3.12}-asyncpg-v0.30.0 + {py3.7,py3.9,py3.10}-asyncpg-v0.26.0 + {py3.8,py3.11,py3.12}-asyncpg-v0.29.0 + {py3.9,py3.13,py3.14,py3.14t}-asyncpg-v0.31.0 {py3.9,py3.13,py3.14}-clickhouse_driver-v0.2.10 @@ -165,7 +171,7 @@ envlist = {py3.7,py3.13,py3.14}-statsig-v0.66.1 {py3.8,py3.12,py3.13}-unleash-v6.0.1 - {py3.8,py3.12,py3.13}-unleash-v6.4.0 + {py3.8,py3.12,py3.13}-unleash-v6.4.1 # ~~~ GraphQL ~~~ @@ -206,8 +212,7 @@ envlist = {py3.9,py3.12,py3.13}-beam-v2.69.0 {py3.6,py3.7,py3.8}-celery-v4.4.7 - {py3.8,py3.12,py3.13}-celery-v5.5.3 - {py3.9,py3.12,py3.13}-celery-v5.6.0rc2 + {py3.9,py3.12,py3.13}-celery-v5.6.0 {py3.6,py3.7}-dramatiq-v1.9.0 {py3.10,py3.13,py3.14,py3.14t}-dramatiq-v2.0.0 @@ -216,7 +221,7 @@ envlist = {py3.6,py3.11,py3.12}-huey-v2.5.4 {py3.9,py3.10}-ray-v2.7.2 - {py3.10,py3.12,py3.13}-ray-v2.52.0 + {py3.10,py3.12,py3.13}-ray-v2.52.1 {py3.6}-rq-v0.8.2 {py3.6,py3.7}-rq-v0.13.0 @@ -246,9 +251,9 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-starlette-v0.50.0 {py3.6,py3.9,py3.10}-fastapi-v0.79.1 - {py3.7,py3.10,py3.11}-fastapi-v0.93.0 - {py3.8,py3.10,py3.11}-fastapi-v0.107.0 - {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.121.3 + {py3.7,py3.10,py3.11}-fastapi-v0.94.1 + {py3.8,py3.11,py3.12}-fastapi-v0.109.2 + {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.123.0 # ~~~ Web 2 ~~~ @@ -370,72 +375,90 @@ deps = # === Integrations - Auto-generated === # These come from the populate_tox.py script. - # ~~~ AI ~~~ - anthropic-v0.16.0: anthropic==0.16.0 - anthropic-v0.35.0: anthropic==0.35.0 - anthropic-v0.54.0: anthropic==0.54.0 - anthropic-v0.74.1: anthropic==0.74.1 - anthropic: pytest-asyncio - anthropic-v0.16.0: httpx<0.28.0 - anthropic-v0.35.0: httpx<0.28.0 + # ~~~ MCP ~~~ + mcp-v1.15.0: mcp==1.15.0 + mcp-v1.17.0: mcp==1.17.0 + mcp-v1.19.0: mcp==1.19.0 + mcp-v1.22.0: mcp==1.22.0 + mcp: pytest-asyncio - cohere-v5.4.0: cohere==5.4.0 - cohere-v5.10.0: cohere==5.10.0 - cohere-v5.15.0: cohere==5.15.0 - cohere-v5.20.0: cohere==5.20.0 + fastmcp-v0.1.0: fastmcp==0.1.0 + fastmcp-v0.4.1: fastmcp==0.4.1 + fastmcp-v1.0: fastmcp==1.0 + fastmcp-v2.13.1: fastmcp==2.13.1 + fastmcp: pytest-asyncio - google_genai-v1.29.0: google-genai==1.29.0 - google_genai-v1.37.0: google-genai==1.37.0 - google_genai-v1.45.0: google-genai==1.45.0 - google_genai-v1.52.0: google-genai==1.52.0 - google_genai: pytest-asyncio - huggingface_hub-v0.24.7: huggingface_hub==0.24.7 - huggingface_hub-v0.36.0: huggingface_hub==0.36.0 - huggingface_hub-v1.1.5: huggingface_hub==1.1.5 - huggingface_hub: responses - huggingface_hub: pytest-httpx + # ~~~ Agents ~~~ + openai_agents-v0.0.19: openai-agents==0.0.19 + openai_agents-v0.2.11: openai-agents==0.2.11 + openai_agents-v0.4.2: openai-agents==0.4.2 + openai_agents-v0.6.1: openai-agents==0.6.1 + openai_agents: pytest-asyncio + + pydantic_ai-v1.0.18: pydantic-ai==1.0.18 + pydantic_ai-v1.8.0: pydantic-ai==1.8.0 + pydantic_ai-v1.16.0: pydantic-ai==1.16.0 + pydantic_ai-v1.25.1: pydantic-ai==1.25.1 + pydantic_ai: pytest-asyncio + + # ~~~ AI Workflow ~~~ langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.0.8: langchain==1.0.8 + langchain-base-v1.1.0: langchain==1.1.0 langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.0.8: langchain-community - langchain-base-v1.0.8: langchain-classic + langchain-base-v1.1.0: langchain-community + langchain-base-v1.1.0: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.0.8: langchain==1.0.8 + langchain-notiktoken-v1.1.0: langchain==1.1.0 langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.0.8: langchain-community - langchain-notiktoken-v1.0.8: langchain-classic + langchain-notiktoken-v1.1.0: langchain-community + langchain-notiktoken-v1.1.0: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 - langgraph-v1.0.3: langgraph==1.0.3 + langgraph-v1.0.4: langgraph==1.0.4 + + + # ~~~ AI ~~~ + anthropic-v0.16.0: anthropic==0.16.0 + anthropic-v0.36.2: anthropic==0.36.2 + anthropic-v0.56.0: anthropic==0.56.0 + anthropic-v0.75.0: anthropic==0.75.0 + anthropic: pytest-asyncio + anthropic-v0.16.0: httpx<0.28.0 + anthropic-v0.36.2: httpx<0.28.0 + + cohere-v5.4.0: cohere==5.4.0 + cohere-v5.10.0: cohere==5.10.0 + cohere-v5.15.0: cohere==5.15.0 + cohere-v5.20.0: cohere==5.20.0 + + google_genai-v1.29.0: google-genai==1.29.0 + google_genai-v1.37.0: google-genai==1.37.0 + google_genai-v1.45.0: google-genai==1.45.0 + google_genai-v1.52.0: google-genai==1.52.0 + google_genai: pytest-asyncio + + huggingface_hub-v0.24.7: huggingface_hub==0.24.7 + huggingface_hub-v0.36.0: huggingface_hub==0.36.0 + huggingface_hub-v1.1.6: huggingface_hub==1.1.6 + huggingface_hub: responses + huggingface_hub: pytest-httpx litellm-v1.77.7: litellm==1.77.7 litellm-v1.78.7: litellm==1.78.7 litellm-v1.79.3: litellm==1.79.3 - litellm-v1.80.5: litellm==1.80.5 - - mcp-v1.15.0: mcp==1.15.0 - mcp-v1.17.0: mcp==1.17.0 - mcp-v1.19.0: mcp==1.19.0 - mcp-v1.22.0: mcp==1.22.0 - mcp: pytest-asyncio - - fastmcp-v0.1.0: fastmcp==0.1.0 - fastmcp-v0.4.1: fastmcp==0.4.1 - fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.13.1: fastmcp==2.13.1 - fastmcp: pytest-asyncio + litellm-v1.80.7: litellm==1.80.7 openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 @@ -450,24 +473,12 @@ deps = openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 - openai_agents-v0.0.19: openai-agents==0.0.19 - openai_agents-v0.2.11: openai-agents==0.2.11 - openai_agents-v0.4.2: openai-agents==0.4.2 - openai_agents-v0.6.1: openai-agents==0.6.1 - openai_agents: pytest-asyncio - - pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.7.0: pydantic-ai==1.7.0 - pydantic_ai-v1.14.1: pydantic-ai==1.14.1 - pydantic_ai-v1.22.0: pydantic-ai==1.22.0 - pydantic_ai: pytest-asyncio - # ~~~ Cloud ~~~ boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.41.2: boto3==1.41.2 + boto3-v1.42.0: boto3==1.42.0 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -477,9 +488,9 @@ deps = # ~~~ DBs ~~~ asyncpg-v0.23.0: asyncpg==0.23.0 - asyncpg-v0.25.0: asyncpg==0.25.0 - asyncpg-v0.27.0: asyncpg==0.27.0 - asyncpg-v0.30.0: asyncpg==0.30.0 + asyncpg-v0.26.0: asyncpg==0.26.0 + asyncpg-v0.29.0: asyncpg==0.29.0 + asyncpg-v0.31.0: asyncpg==0.31.0 asyncpg: pytest-asyncio clickhouse_driver-v0.2.10: clickhouse-driver==0.2.10 @@ -521,7 +532,7 @@ deps = statsig: typing_extensions unleash-v6.0.1: UnleashClient==6.0.1 - unleash-v6.4.0: UnleashClient==6.4.0 + unleash-v6.4.1: UnleashClient==6.4.1 # ~~~ GraphQL ~~~ @@ -586,8 +597,7 @@ deps = beam: dill celery-v4.4.7: celery==4.4.7 - celery-v5.5.3: celery==5.5.3 - celery-v5.6.0rc2: celery==5.6.0rc2 + celery-v5.6.0: celery==5.6.0 celery: newrelic<10.17.0 celery: redis {py3.7}-celery: importlib-metadata<5.0 @@ -599,7 +609,7 @@ deps = huey-v2.5.4: huey==2.5.4 ray-v2.7.2: ray==2.7.2 - ray-v2.52.0: ray==2.52.0 + ray-v2.52.1: ray==2.52.1 rq-v0.8.2: rq==0.8.2 rq-v0.13.0: rq==0.13.0 @@ -670,17 +680,17 @@ deps = {py3.6}-starlette: aiocontextvars fastapi-v0.79.1: fastapi==0.79.1 - fastapi-v0.93.0: fastapi==0.93.0 - fastapi-v0.107.0: fastapi==0.107.0 - fastapi-v0.121.3: fastapi==0.121.3 + fastapi-v0.94.1: fastapi==0.94.1 + fastapi-v0.109.2: fastapi==0.109.2 + fastapi-v0.123.0: fastapi==0.123.0 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart fastapi: requests fastapi: anyio<4 fastapi-v0.79.1: httpx<0.28.0 - fastapi-v0.93.0: httpx<0.28.0 - fastapi-v0.107.0: httpx<0.28.0 + fastapi-v0.94.1: httpx<0.28.0 + fastapi-v0.109.2: httpx<0.28.0 {py3.6}-fastapi: aiocontextvars @@ -710,6 +720,7 @@ deps = litestar: python-multipart litestar: requests litestar: cryptography + litestar: sniffio litestar-v2.0.1: httpx<0.28 litestar-v2.6.4: httpx<0.28 From de0263fac130a2c147636af4fdb90a22f1657b4c Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Mon, 1 Dec 2025 09:30:48 +0100 Subject: [PATCH 37/51] fix(integrations): do not exit early when config is not passed as it is not required and prohibits setting `gen_ai.request.messages` (#5167) #### Issues Closes https://linear.app/getsentry/issue/TET-1454/py-google-genai-request-messages-missing --- sentry_sdk/integrations/google_genai/utils.py | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/sentry_sdk/integrations/google_genai/utils.py b/sentry_sdk/integrations/google_genai/utils.py index 0507b4fa00..bda5822bb4 100644 --- a/sentry_sdk/integrations/google_genai/utils.py +++ b/sentry_sdk/integrations/google_genai/utils.py @@ -442,19 +442,14 @@ def set_span_data_for_request(span, integration, model, contents, kwargs): if kwargs.get("stream", False): span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - config = kwargs.get("config") - - if config is None: - return - - config = cast(GenerateContentConfig, config) + config = kwargs.get("config") # type: Optional[GenerateContentConfig] # Set input messages/prompts if PII is allowed if should_send_default_pii() and integration.include_prompts: messages = [] # Add system instruction if present - if hasattr(config, "system_instruction"): + if config and hasattr(config, "system_instruction"): system_instruction = config.system_instruction if system_instruction: system_text = extract_contents_text(system_instruction) @@ -496,7 +491,7 @@ def set_span_data_for_request(span, integration, model, contents, kwargs): span.set_data(span_key, value) # Set tools if available - if hasattr(config, "tools"): + if config is not None and hasattr(config, "tools"): tools = config.tools if tools: formatted_tools = _format_tools_for_span(tools) From b772c7b5286896aba77e263510f14c1839367d43 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 10:32:37 +0000 Subject: [PATCH 38/51] build(deps): bump supercharge/redis-github-action from 1.8.1 to 2 (#5172) Bumps [supercharge/redis-github-action](https://github.com/supercharge/redis-github-action) from 1.8.1 to 2.
Changelog

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Commits
  • 87f27ff update Node.js version in example
  • d994034 prepare 2.0.0 release
  • ffd8939 Merge pull request #30 from supercharge/remove-container-on-exit
  • c8b7e34 Merge branch 'main' into remove-container-on-exit
  • 90c206d refinements
  • See full diff in compare view

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--------- Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Ivana Kellyer --- .github/workflows/test-integrations-tasks.yml | 2 +- scripts/split_tox_gh_actions/templates/test_group.jinja | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test-integrations-tasks.yml b/.github/workflows/test-integrations-tasks.yml index ff565e27e5..1ad8f25cc6 100644 --- a/.github/workflows/test-integrations-tasks.yml +++ b/.github/workflows/test-integrations-tasks.yml @@ -45,7 +45,7 @@ jobs: python-version: ${{ matrix.python-version }} allow-prereleases: true - name: Start Redis - uses: supercharge/redis-github-action@1.8.1 + uses: supercharge/redis-github-action@v2 - name: Install Java uses: actions/setup-java@v5 with: diff --git a/scripts/split_tox_gh_actions/templates/test_group.jinja b/scripts/split_tox_gh_actions/templates/test_group.jinja index 10ef7cfec3..60bb79de24 100644 --- a/scripts/split_tox_gh_actions/templates/test_group.jinja +++ b/scripts/split_tox_gh_actions/templates/test_group.jinja @@ -56,7 +56,7 @@ {% if needs_redis %} - name: Start Redis - uses: supercharge/redis-github-action@1.8.1 + uses: supercharge/redis-github-action@2 {% endif %} {% if needs_java %} From 254f6189c033a2aae35c608893124ca1d27a7331 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 1 Dec 2025 10:34:27 +0000 Subject: [PATCH 39/51] build(deps): bump actions/github-script from 7 to 8 (#5171) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps [actions/github-script](https://github.com/actions/github-script) from 7 to 8.
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v8.0.0

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⚠️ Minimum Compatible Runner Version

v2.327.1
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Full Changelog: https://github.com/actions/github-script/compare/v7.1.0...v8.0.0

v7.1.0

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... (truncated)

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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Ivana Kellyer --- .github/workflows/pr-labeler.yml | 2 +- .github/workflows/update-tox.yml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pr-labeler.yml b/.github/workflows/pr-labeler.yml index c489de30d4..6c80e63482 100644 --- a/.github/workflows/pr-labeler.yml +++ b/.github/workflows/pr-labeler.yml @@ -16,7 +16,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Add changelog label - uses: actions/github-script@v7 + uses: actions/github-script@v8 with: script: | const title = context.payload.pull_request.title.toLowerCase(); diff --git a/.github/workflows/update-tox.yml b/.github/workflows/update-tox.yml index 7d1565271a..08c7d31695 100644 --- a/.github/workflows/update-tox.yml +++ b/.github/workflows/update-tox.yml @@ -54,7 +54,7 @@ jobs: echo "date=$DATE" >> $GITHUB_OUTPUT - name: Create pull request - uses: actions/github-script@v8.0.0 + uses: actions/github-script@v8 with: script: | const branchName = '${{ steps.create-branch.outputs.branch_name }}'; From c55c400cdb8ea7bf7aac924ca3f5c986caeca19d Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Mon, 1 Dec 2025 16:06:06 +0100 Subject: [PATCH 40/51] chore: Add `commit_patterns` to changelog config, remove auto-labeler (#5176) ### Description Adapting to the new `commit_patterns` changelog generation feature in Craft: https://github.com/getsentry/craft?tab=readme-ov-file#changelog-policies #### Issues #### Reminders - Please add tests to validate your changes, and lint your code using `tox -e linters`. - Add GH Issue ID _&_ Linear ID (if applicable) - PR title should use [conventional commit](https://develop.sentry.dev/engineering-practices/commit-messages/#type) style (`feat:`, `fix:`, `ref:`, `meta:`) - For external contributors: [CONTRIBUTING.md](https://github.com/getsentry/sentry-python/blob/master/CONTRIBUTING.md), [Sentry SDK development docs](https://develop.sentry.dev/sdk/), [Discord community](https://discord.gg/Ww9hbqr) --- .github/release.yml | 15 ++++--- .github/workflows/pr-labeler.yml | 72 -------------------------------- 2 files changed, 10 insertions(+), 77 deletions(-) delete mode 100644 .github/workflows/pr-labeler.yml diff --git a/.github/release.yml b/.github/release.yml index 72e8208ad1..37ec0bb752 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -1,8 +1,3 @@ -# This configuration is used by Craft to categorize changelog entries based on -# PR labels. To avoid some manual work, there is a PR labeling GitHub action in -# .github/workflows/pr-labeler.yml that adds a changelog label to PRs based on -# the title. - changelog: exclude: labels: @@ -16,19 +11,29 @@ changelog: - Feature - Improvement - New Integration + commit_patterns: + - "^feat(\([a-zA-Z0-9_-]+\))?:" - title: Bug Fixes 🐛 labels: - "Changelog: Bugfix" - Bug + commit_patterns: + - "^(fix|bugfix)(\([a-zA-Z0-9_-]+\))?:" - title: Deprecations 🏗️ labels: - "Changelog: Deprecation" + commit_patterns: + - "deprecat" # deprecation, deprecated - title: Documentation 📚 labels: - "Changelog: Docs" - Docs - "Component: Docs" + commit_patterns: + - "^docs(\([a-zA-Z0-9_-]+\))?:" - title: Internal Changes 🔧 labels: - "Changelog: Internal" - Quality Improvement + commit_patterns: + - "^(build|ref|chore|ci|tests|test)(\([a-zA-Z0-9_-]+\))?:" diff --git a/.github/workflows/pr-labeler.yml b/.github/workflows/pr-labeler.yml deleted file mode 100644 index 6c80e63482..0000000000 --- a/.github/workflows/pr-labeler.yml +++ /dev/null @@ -1,72 +0,0 @@ -# This action adds changelog labels to PRs that are then used by the release -# notes generator in Craft. The configuration for which labels map to what -# changelog categories can be found in .github/release.yml. - -name: Label PR for Changelog - -on: - pull_request: - types: [opened, edited] - -permissions: - pull-requests: write - -jobs: - label: - runs-on: ubuntu-latest - steps: - - name: Add changelog label - uses: actions/github-script@v8 - with: - script: | - const title = context.payload.pull_request.title.toLowerCase(); - const prNumber = context.payload.pull_request.number; - - // Get current labels - const { data: currentLabels } = await github.rest.issues.listLabelsOnIssue({ - owner: context.repo.owner, - repo: context.repo.repo, - issue_number: prNumber, - }); - - // Check if a Changelog label already exists - const hasChangelogLabel = currentLabels.some(label => - label.name.startsWith('Changelog:') || label.name === 'skip-changelog' - ); - - if (hasChangelogLabel) { - console.log('PR already has a Changelog label, skipping'); - return; - } - - // Determine which label to apply - let newLabel = null; - - if (title.includes('deprecate')) { - newLabel = 'Changelog: Deprecation'; - } else if (title.startsWith('feat')) { - newLabel = 'Changelog: Feature'; - } else if (title.startsWith('fix') || title.startsWith('bugfix')) { - newLabel = 'Changelog: Bugfix'; - } else if (title.startsWith('docs')) { - newLabel = 'Changelog: Docs'; - } else if (title.startsWith('ref') || title.startsWith('test')) { - newLabel = 'Changelog: Internal'; - } else if (title.startsWith('ci') || title.startsWith('build')) { - newLabel = 'skip-changelog'; - } - - // Apply the new label if one was determined - if (newLabel) { - await github.rest.issues.addLabels({ - owner: context.repo.owner, - repo: context.repo.repo, - issue_number: prNumber, - labels: [newLabel], - }); - - console.log(`Applied label: ${newLabel}`); - } else { - console.log('No matching label pattern found in PR title, please add manually'); - } - From 9aa438598a6fec5ffd9d46f68b5e90c33d2666ac Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Mon, 1 Dec 2025 17:08:15 +0100 Subject: [PATCH 41/51] feat: Implement strict_trace_continuation (#5178) ### Description Fixes a security hole where incoming traces from other orgs can cause a DOS-like attack on another org by injecting Sentry propagation headers. Spec: https://develop.sentry.dev/sdk/telemetry/traces/#stricttracecontinuation #### Issues * resolves: #5066 * resolves: PY-1963 --- sentry_sdk/consts.py | 10 ++ sentry_sdk/tracing_utils.py | 52 ++++++++- tests/conftest.py | 13 +++ tests/test_dsc.py | 28 ++--- tests/test_tracing_utils.py | 136 +++++++++++++++++++++++- tests/tracing/test_integration_tests.py | 58 ++++++++++ 6 files changed, 270 insertions(+), 27 deletions(-) diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index efda932943..c168a1fcef 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -1024,6 +1024,7 @@ def __init__( enable_metrics=True, # type: bool before_send_metric=None, # type: Optional[Callable[[Metric, Hint], Optional[Metric]]] org_id=None, # type: Optional[str] + strict_trace_continuation=False, # type: bool ): # type: (...) -> None """Initialize the Sentry SDK with the given parameters. All parameters described here can be used in a call to `sentry_sdk.init()`. @@ -1427,6 +1428,15 @@ def __init__( If `trace_ignore_status_codes` is not provided, requests with any status code may be traced. + :param strict_trace_continuation: If set to `True`, the SDK will only continue a trace if the `org_id` of the incoming trace found in the + `baggage` header matches the `org_id` of the current Sentry client and only if BOTH are present. + + If set to `False`, consistency of `org_id` will only be enforced if both are present. If either are missing, the trace will be continued. + + The client's organization ID is extracted from the DSN or can be set with the `org_id` option. + If the organization IDs do not match, the SDK will start a new trace instead of continuing the incoming one. + This is useful to prevent traces of unknown third-party services from being continued in your application. + :param org_id: An optional organization ID. The SDK will try to extract if from the DSN in most cases but you can provide it explicitly for self-hosted and Relay setups. This value is used for trace propagation and for features like `strict_trace_continuation`. diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index 9d92b53be4..b6c184838c 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -15,7 +15,6 @@ from sentry_sdk.utils import ( capture_internal_exceptions, filename_for_module, - Dsn, logger, match_regex_list, qualname_from_function, @@ -453,15 +452,23 @@ def from_incoming_data(cls, incoming_data): sentry_trace_header = normalized_data.get(SENTRY_TRACE_HEADER_NAME) sentrytrace_data = extract_sentrytrace_data(sentry_trace_header) + + # nothing to propagate if no sentry-trace if sentrytrace_data is None: return None + baggage_header = normalized_data.get(BAGGAGE_HEADER_NAME) + baggage = ( + Baggage.from_incoming_header(baggage_header) if baggage_header else None + ) + + if not _should_continue_trace(baggage): + return None + propagation_context = PropagationContext() propagation_context.update(sentrytrace_data) - - baggage_header = normalized_data.get(BAGGAGE_HEADER_NAME) - if baggage_header: - propagation_context.baggage = Baggage.from_incoming_header(baggage_header) + if baggage: + propagation_context.baggage = baggage propagation_context._fill_sample_rand() @@ -1230,6 +1237,41 @@ def _set_output_attributes(span, template, send_pii, result): span.update_data(_get_output_attributes(template, send_pii, result) or {}) +def _should_continue_trace(baggage): + # type: (Optional[Baggage]) -> bool + """ + Check if we should continue the incoming trace according to the strict_trace_continuation spec. + https://develop.sentry.dev/sdk/telemetry/traces/#stricttracecontinuation + """ + + client = sentry_sdk.get_client() + parsed_dsn = client.parsed_dsn + client_org_id = parsed_dsn.org_id if parsed_dsn else None + baggage_org_id = baggage.sentry_items.get("org_id") if baggage else None + + if ( + client_org_id is not None + and baggage_org_id is not None + and client_org_id != baggage_org_id + ): + logger.debug( + f"Starting a new trace because org IDs don't match (incoming baggage org_id: {baggage_org_id}, SDK org_id: {client_org_id})" + ) + return False + + strict_trace_continuation = client.options.get("strict_trace_continuation", False) # type: bool + if strict_trace_continuation: + if (baggage_org_id is not None and client_org_id is None) or ( + baggage_org_id is None and client_org_id is not None + ): + logger.debug( + f"Starting a new trace because strict trace continuation is enabled and one org ID is missing (incoming baggage org_id: {baggage_org_id}, SDK org_id: {client_org_id})" + ) + return False + + return True + + # Circular imports from sentry_sdk.tracing import ( BAGGAGE_HEADER_NAME, diff --git a/tests/conftest.py b/tests/conftest.py index ebb4bba95f..9c2115f1d8 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -221,6 +221,19 @@ def capture_envelope(self, _: Envelope) -> None: pass +class TestTransportWithOptions(Transport): + """TestTransport above does not pass in the options and for some tests we need them""" + + __test__ = False + + def __init__(self, options=None): + Transport.__init__(self, options) + + def capture_envelope(self, _: Envelope) -> None: + """No-op capture_envelope for tests""" + pass + + @pytest.fixture def capture_events(monkeypatch): def inner(): diff --git a/tests/test_dsc.py b/tests/test_dsc.py index e5ac0af30e..c233fa0c5b 100644 --- a/tests/test_dsc.py +++ b/tests/test_dsc.py @@ -13,19 +13,7 @@ import pytest import sentry_sdk -from sentry_sdk.transport import Transport -from sentry_sdk.envelope import Envelope - - -class TransportWithOptions(Transport): - """conftest.TestTransport does not pass in the options so we need this here""" - - def __init__(self, options=None): - Transport.__init__(self, options) - - def capture_envelope(self, _: Envelope) -> None: - """No-op capture_envelope for tests""" - pass +from tests.conftest import TestTransportWithOptions def test_dsc_head_of_trace(sentry_init, capture_envelopes): @@ -38,7 +26,7 @@ def test_dsc_head_of_trace(sentry_init, capture_envelopes): release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -94,7 +82,7 @@ def test_dsc_head_of_trace_uses_custom_org_id(sentry_init, capture_envelopes): release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -122,7 +110,7 @@ def test_dsc_continuation_of_trace(sentry_init, capture_envelopes): release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -200,7 +188,7 @@ def my_traces_sampler(sampling_context): release="myapp@0.0.1", environment="canary", traces_sampler=my_traces_sampler, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -270,7 +258,7 @@ def test_dsc_issue(sentry_init, capture_envelopes): dsn="https://mysecret@o1234.ingest.sentry.io/12312012", release="myapp@0.0.1", environment="canary", - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -322,7 +310,7 @@ def test_dsc_issue_with_tracing(sentry_init, capture_envelopes): release="myapp@0.0.1", environment="canary", traces_sample_rate=1.0, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() @@ -394,7 +382,7 @@ def test_dsc_issue_twp(sentry_init, capture_envelopes, traces_sample_rate): release="myapp@0.0.1", environment="canary", traces_sample_rate=traces_sample_rate, - transport=TransportWithOptions, + transport=TestTransportWithOptions, ) envelopes = capture_envelopes() diff --git a/tests/test_tracing_utils.py b/tests/test_tracing_utils.py index 2b2c62a6f9..9dd0771674 100644 --- a/tests/test_tracing_utils.py +++ b/tests/test_tracing_utils.py @@ -1,8 +1,13 @@ +import pytest from dataclasses import asdict, dataclass from typing import Optional, List -from sentry_sdk.tracing_utils import _should_be_included, Baggage -import pytest +from sentry_sdk.tracing_utils import ( + _should_be_included, + _should_continue_trace, + Baggage, +) +from tests.conftest import TestTransportWithOptions def id_function(val): @@ -146,3 +151,130 @@ def test_strip_sentry_baggage(header, expected): ) def test_baggage_repr(baggage, expected_repr): assert repr(baggage) == expected_repr + + +@pytest.mark.parametrize( + ( + "baggage_header", + "dsn", + "explicit_org_id", + "strict_trace_continuation", + "should_continue_trace", + ), + ( + # continue cases when strict_trace_continuation=False + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o1234.ingest.sentry.io/12312012", + None, + False, + True, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700", + "https://mysecret@o1234.ingest.sentry.io/12312012", + None, + False, + True, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + None, + None, + False, + True, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + None, + "1234", + False, + True, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@not_org_id.ingest.sentry.io/12312012", + None, + False, + True, + ), + # start new cases when strict_trace_continuation=False + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o9999.ingest.sentry.io/12312012", + None, + False, + False, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o1234.ingest.sentry.io/12312012", + "9999", + False, + False, + ), + # continue cases when strict_trace_continuation=True + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o1234.ingest.sentry.io/12312012", + None, + True, + True, + ), + ("sentry-trace_id=771a43a4192642f0b136d5159a501700", None, None, True, True), + # start new cases when strict_trace_continuation=True + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700", + "https://mysecret@o1234.ingest.sentry.io/12312012", + None, + True, + False, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + None, + None, + True, + False, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@not_org_id.ingest.sentry.io/12312012", + None, + True, + False, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o9999.ingest.sentry.io/12312012", + None, + True, + False, + ), + ( + "sentry-trace_id=771a43a4192642f0b136d5159a501700, sentry-org_id=1234", + "https://mysecret@o1234.ingest.sentry.io/12312012", + "9999", + True, + False, + ), + ), +) +def test_should_continue_trace( + sentry_init, + baggage_header, + dsn, + explicit_org_id, + strict_trace_continuation, + should_continue_trace, +): + sentry_init( + dsn=dsn, + org_id=explicit_org_id, + strict_trace_continuation=strict_trace_continuation, + traces_sample_rate=1.0, + transport=TestTransportWithOptions, + ) + + baggage = Baggage.from_incoming_header(baggage_header) if baggage_header else None + assert _should_continue_trace(baggage) == should_continue_trace diff --git a/tests/tracing/test_integration_tests.py b/tests/tracing/test_integration_tests.py index 0bd5548980..117f2ef844 100644 --- a/tests/tracing/test_integration_tests.py +++ b/tests/tracing/test_integration_tests.py @@ -15,6 +15,7 @@ ) from sentry_sdk.consts import SPANSTATUS from sentry_sdk.transport import Transport +from tests.conftest import TestTransportWithOptions @pytest.mark.parametrize("sample_rate", [0.0, 1.0]) @@ -361,3 +362,60 @@ def test_good_sysexit_doesnt_fail_transaction( assert "status" not in span.get("tags", {}) assert "status" not in event["tags"] assert event["contexts"]["trace"]["status"] == "ok" + + +@pytest.mark.parametrize( + "strict_trace_continuation,baggage_org_id,dsn_org_id,should_continue_trace", + ( + (True, "sentry-org_id=1234", "o1234", True), + (True, "sentry-org_id=1234", "o9999", False), + (True, "sentry-org_id=9999", "o1234", False), + (False, "sentry-org_id=1234", "o1234", True), + (False, "sentry-org_id=9999", "o1234", False), + (False, "sentry-org_id=1234", "o9999", False), + (False, "sentry-org_id=1234", "not_org_id", True), + (False, "", "o1234", True), + ), +) +def test_continue_trace_strict_trace_continuation( + sentry_init, + strict_trace_continuation, + baggage_org_id, + dsn_org_id, + should_continue_trace, +): + sentry_init( + dsn=f"https://mysecret@{dsn_org_id}.ingest.sentry.io/12312012", + strict_trace_continuation=strict_trace_continuation, + traces_sample_rate=1.0, + transport=TestTransportWithOptions, + ) + + headers = { + "sentry-trace": "771a43a4192642f0b136d5159a501700-1234567890abcdef-1", + "baggage": ( + "other-vendor-value-1=foo;bar;baz, sentry-trace_id=771a43a4192642f0b136d5159a501700, " + f"{baggage_org_id}, " + "sentry-public_key=49d0f7386ad645858ae85020e393bef3, sentry-sample_rate=0.01337, " + "sentry-user_id=Am%C3%A9lie, other-vendor-value-2=foo;bar;" + ), + } + + transaction = continue_trace(headers, name="strict trace") + + if should_continue_trace: + assert ( + transaction.trace_id + == "771a43a4192642f0b136d5159a501700" + == "771a43a4192642f0b136d5159a501700" + ) + assert transaction.parent_span_id == "1234567890abcdef" + assert transaction.parent_sampled + else: + assert ( + transaction.trace_id + != "771a43a4192642f0b136d5159a501700" + == "771a43a4192642f0b136d5159a501700" + ) + assert transaction.parent_span_id != "1234567890abcdef" + assert not transaction.parent_sampled From 996f9359aaf0bbfffbc81ff12d59f461db0df79f Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Mon, 1 Dec 2025 17:19:48 +0100 Subject: [PATCH 42/51] fix(openai-agents): Store `invoke_agent` span on `agents.RunContextWrapper` (#5165) Store the agent invocation span on the `openai-agents` run context, and finish the span by accessing the span on the run context instead of calling `sentry_sdk.get_current_span()`. Prevents an unhandled exception when using both `OpenAIAgentsIntegration` and `AsyncioIntegration`. The exception is caused by double exit when a span already managed by a with block is unexpectedly returned by `sentry_sdk.get_current_span()`. Closes https://github.com/getsentry/sentry-python/issues/5067 --- sentry_sdk/integrations/openai_agents/patches/agent_run.py | 3 ++- sentry_sdk/integrations/openai_agents/spans/invoke_agent.py | 3 ++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index 5473915b48..b25bf82ad5 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -31,7 +31,8 @@ def _start_invoke_agent_span(context_wrapper, agent, kwargs): """Start an agent invocation span""" # Store the agent on the context wrapper so we can access it later context_wrapper._sentry_current_agent = agent - invoke_agent_span(context_wrapper, agent, kwargs) + span = invoke_agent_span(context_wrapper, agent, kwargs) + context_wrapper._sentry_agent_span = span def _end_invoke_agent_span(context_wrapper, agent, output=None): # type: (agents.RunContextWrapper, agents.Agent, Optional[Any]) -> None diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py index 2a9c5ebe66..63cd10d55e 100644 --- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py +++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py @@ -75,7 +75,7 @@ def invoke_agent_span(context, agent, kwargs): def update_invoke_agent_span(context, agent, output): # type: (agents.RunContextWrapper, agents.Agent, Any) -> None - span = sentry_sdk.get_current_span() + span = getattr(context, "_sentry_agent_span", None) if span: if should_send_default_pii(): @@ -84,3 +84,4 @@ def update_invoke_agent_span(context, agent, output): ) span.__exit__(None, None, None) + delattr(context, "_sentry_agent_span") From 7449603a8087ddaf11a5e176f9e26957a524d634 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Mon, 1 Dec 2025 17:22:28 +0100 Subject: [PATCH 43/51] feat(openai-agents): Truncate long messages (#5141) --- .../openai_agents/spans/invoke_agent.py | 16 ++++-- .../integrations/openai_agents/utils.py | 17 ++++--- .../openai_agents/test_openai_agents.py | 49 ++++++++++++++++++- 3 files changed, 70 insertions(+), 12 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py index 63cd10d55e..d8254cc1dd 100644 --- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py +++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py @@ -3,6 +3,7 @@ get_start_span_function, set_data_normalized, normalize_message_roles, + truncate_and_annotate_messages, ) from sentry_sdk.consts import OP, SPANDATA from sentry_sdk.scope import should_send_default_pii @@ -61,12 +62,17 @@ def invoke_agent_span(context, agent, kwargs): if len(messages) > 0: normalized_messages = normalize_message_roles(messages) - set_data_normalized( - span, - SPANDATA.GEN_AI_REQUEST_MESSAGES, - normalized_messages, - unpack=False, + scope = sentry_sdk.get_current_scope() + messages_data = truncate_and_annotate_messages( + normalized_messages, span, scope ) + if messages_data is not None: + set_data_normalized( + span, + SPANDATA.GEN_AI_REQUEST_MESSAGES, + messages_data, + unpack=False, + ) _set_agent_data(span, agent) diff --git a/sentry_sdk/integrations/openai_agents/utils.py b/sentry_sdk/integrations/openai_agents/utils.py index cc7c38553e..95ff44c1fd 100644 --- a/sentry_sdk/integrations/openai_agents/utils.py +++ b/sentry_sdk/integrations/openai_agents/utils.py @@ -4,6 +4,7 @@ normalize_message_roles, set_data_normalized, normalize_message_role, + truncate_and_annotate_messages, ) from sentry_sdk.consts import SPANDATA, SPANSTATUS, OP from sentry_sdk.integrations import DidNotEnable @@ -135,12 +136,16 @@ def _set_input_data(span, get_response_kwargs): } ) - set_data_normalized( - span, - SPANDATA.GEN_AI_REQUEST_MESSAGES, - normalize_message_roles(request_messages), - unpack=False, - ) + normalized_messages = normalize_message_roles(request_messages) + scope = sentry_sdk.get_current_scope() + messages_data = truncate_and_annotate_messages(normalized_messages, span, scope) + if messages_data is not None: + set_data_normalized( + span, + SPANDATA.GEN_AI_REQUEST_MESSAGES, + messages_data, + unpack=False, + ) def _set_output_data(span, result): diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index dd216d8a90..a1d85ba71a 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -3,9 +3,13 @@ import pytest from unittest.mock import MagicMock, patch import os +import json +import sentry_sdk +from sentry_sdk import start_span +from sentry_sdk.consts import SPANDATA from sentry_sdk.integrations.openai_agents import OpenAIAgentsIntegration -from sentry_sdk.integrations.openai_agents.utils import safe_serialize +from sentry_sdk.integrations.openai_agents.utils import _set_input_data, safe_serialize from sentry_sdk.utils import parse_version import agents @@ -1225,3 +1229,46 @@ def failing_tool(message: str) -> str: # The span should be marked as error because the tool execution failed assert execute_tool_span["status"] == "internal_error" assert execute_tool_span["tags"]["status"] == "internal_error" + + +def test_openai_agents_message_truncation(sentry_init, capture_events): + """Test that large messages are truncated properly in OpenAI Agents integration.""" + + large_content = ( + "This is a very long message that will exceed our size limits. " * 1000 + ) + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + test_messages = [ + {"role": "system", "content": "small message 1"}, + {"role": "user", "content": large_content}, + {"role": "assistant", "content": large_content}, + {"role": "user", "content": "small message 4"}, + {"role": "assistant", "content": "small message 5"}, + ] + + get_response_kwargs = {"input": test_messages} + + with start_span(op="gen_ai.chat") as span: + scope = sentry_sdk.get_current_scope() + _set_input_data(span, get_response_kwargs) + if hasattr(scope, "_gen_ai_original_message_count"): + truncated_count = scope._gen_ai_original_message_count.get(span.span_id) + assert truncated_count == 5, ( + f"Expected 5 original messages, got {truncated_count}" + ) + + assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span._data + messages_data = span._data[SPANDATA.GEN_AI_REQUEST_MESSAGES] + assert isinstance(messages_data, str) + + parsed_messages = json.loads(messages_data) + assert isinstance(parsed_messages, list) + assert len(parsed_messages) == 2 + assert "small message 4" in str(parsed_messages[0]) + assert "small message 5" in str(parsed_messages[1]) From 6c6705a3d990559a80a48477a873d3171b928b12 Mon Sep 17 00:00:00 2001 From: Burak Yigit Kaya Date: Mon, 1 Dec 2025 17:03:46 +0000 Subject: [PATCH 44/51] fix(spotlight): align behavior with SDK spec (#5169) Align the Spotlight implementation with the official spec at https://develop.sentry.dev/sdk/expected-features/spotlight/ Changes: 1. Fix precedence rules: - When spotlight=True and SENTRY_SPOTLIGHT env var is a URL, use the env var URL (per spec requirement) - Log warning when config URL overrides env var URL - Log warning when spotlight=False explicitly disables despite env var being set 2. Route all envelopes to Spotlight: - Sessions, logs, and metrics now also get sent to Spotlight via the _capture_envelope callback - Move Spotlight initialization before batchers are created 3. Add exponential backoff retry logic: - SpotlightClient now implements proper exponential backoff when the Spotlight server is unreachable - Skips sending during backoff period to avoid blocking - Logs errors only once per backoff cycle 4. Update tests: - Fix test expectation for spotlight=True + env URL case - Add tests for warning scenarios - Add test for session envelope routing to Spotlight --- sentry_sdk/client.py | 37 +++++------- sentry_sdk/spotlight.py | 130 ++++++++++++++++++++++++++++++++++------ tests/test_client.py | 3 +- tests/test_spotlight.py | 67 +++++++++++++++++++++ 4 files changed, 194 insertions(+), 43 deletions(-) diff --git a/sentry_sdk/client.py b/sentry_sdk/client.py index c831675314..ad682b1979 100644 --- a/sentry_sdk/client.py +++ b/sentry_sdk/client.py @@ -360,6 +360,8 @@ def _init_impl(self): def _capture_envelope(envelope): # type: (Envelope) -> None + if self.spotlight is not None: + self.spotlight.capture_envelope(envelope) if self.transport is not None: self.transport.capture_envelope(envelope) @@ -387,6 +389,18 @@ def _record_lost_event( if self.options["enable_backpressure_handling"]: self.monitor = Monitor(self.transport) + # Setup Spotlight before creating batchers so _capture_envelope can use it. + # setup_spotlight handles all config/env var resolution per the SDK spec. + from sentry_sdk.spotlight import setup_spotlight + + self.spotlight = setup_spotlight(self.options) + if self.spotlight is not None and not self.options["dsn"]: + sample_all = lambda *_args, **_kwargs: 1.0 + self.options["send_default_pii"] = True + self.options["error_sampler"] = sample_all + self.options["traces_sampler"] = sample_all + self.options["profiles_sampler"] = sample_all + self.session_flusher = SessionFlusher(capture_func=_capture_envelope) self.log_batcher = None @@ -437,29 +451,6 @@ def _record_lost_event( options=self.options, ) - spotlight_config = self.options.get("spotlight") - if spotlight_config is None and "SENTRY_SPOTLIGHT" in os.environ: - spotlight_env_value = os.environ["SENTRY_SPOTLIGHT"] - spotlight_config = env_to_bool(spotlight_env_value, strict=True) - self.options["spotlight"] = ( - spotlight_config - if spotlight_config is not None - else spotlight_env_value - ) - - if self.options.get("spotlight"): - # This is intentionally here to prevent setting up spotlight - # stuff we don't need unless spotlight is explicitly enabled - from sentry_sdk.spotlight import setup_spotlight - - self.spotlight = setup_spotlight(self.options) - if not self.options["dsn"]: - sample_all = lambda *_args, **_kwargs: 1.0 - self.options["send_default_pii"] = True - self.options["error_sampler"] = sample_all - self.options["traces_sampler"] = sample_all - self.options["profiles_sampler"] = sample_all - sdk_name = get_sdk_name(list(self.integrations.keys())) SDK_INFO["name"] = sdk_name logger.debug("Setting SDK name to '%s'", sdk_name) diff --git a/sentry_sdk/spotlight.py b/sentry_sdk/spotlight.py index 4ac427b9c1..cb69ea4b76 100644 --- a/sentry_sdk/spotlight.py +++ b/sentry_sdk/spotlight.py @@ -1,6 +1,7 @@ import io import logging import os +import time import urllib.parse import urllib.request import urllib.error @@ -34,14 +35,37 @@ class SpotlightClient: + """ + A client for sending envelopes to Sentry Spotlight. + + Implements exponential backoff retry logic per the SDK spec: + - Logs error at least once when server is unreachable + - Does not log for every failed envelope + - Uses exponential backoff to avoid hammering an unavailable server + - Never blocks normal Sentry operation + """ + + # Exponential backoff settings + INITIAL_RETRY_DELAY = 1.0 # Start with 1 second + MAX_RETRY_DELAY = 60.0 # Max 60 seconds + def __init__(self, url): # type: (str) -> None self.url = url self.http = urllib3.PoolManager() - self.fails = 0 + self._retry_delay = self.INITIAL_RETRY_DELAY + self._last_error_time = 0.0 # type: float def capture_envelope(self, envelope): # type: (Envelope) -> None + + # Check if we're in backoff period - skip sending to avoid blocking + if self._last_error_time > 0: + time_since_error = time.time() - self._last_error_time + if time_since_error < self._retry_delay: + # Still in backoff period, skip this envelope + return + body = io.BytesIO() envelope.serialize_into(body) try: @@ -54,18 +78,23 @@ def capture_envelope(self, envelope): }, ) req.close() - self.fails = 0 + # Success - reset backoff state + self._retry_delay = self.INITIAL_RETRY_DELAY + self._last_error_time = 0.0 except Exception as e: - if self.fails < 2: - sentry_logger.warning(str(e)) - self.fails += 1 - elif self.fails == 2: - self.fails += 1 - sentry_logger.warning( - "Looks like Spotlight is not running, will keep trying to send events but will not log errors." - ) - # omitting self.fails += 1 in the `else:` case intentionally - # to avoid overflowing the variable if Spotlight never becomes reachable + self._last_error_time = time.time() + + # Increase backoff delay exponentially first, so logged value matches actual wait + self._retry_delay = min(self._retry_delay * 2, self.MAX_RETRY_DELAY) + + # Log error once per backoff cycle (we skip sends during backoff, so only one failure per cycle) + sentry_logger.warning( + "Failed to send envelope to Spotlight at %s: %s. " + "Will retry after %.1f seconds.", + self.url, + e, + self._retry_delay, + ) try: @@ -207,20 +236,83 @@ def process_exception(self, _request, exception): settings = None +def _resolve_spotlight_url(spotlight_config, sentry_logger): + # type: (Any, Any) -> Optional[str] + """ + Resolve the Spotlight URL based on config and environment variable. + + Implements precedence rules per the SDK spec: + https://develop.sentry.dev/sdk/expected-features/spotlight/ + + Returns the resolved URL string, or None if Spotlight should be disabled. + """ + spotlight_env_value = os.environ.get("SENTRY_SPOTLIGHT") + + # Parse env var to determine if it's a boolean or URL + spotlight_from_env = None # type: Optional[bool] + spotlight_env_url = None # type: Optional[str] + if spotlight_env_value: + parsed = env_to_bool(spotlight_env_value, strict=True) + if parsed is None: + # It's a URL string + spotlight_from_env = True + spotlight_env_url = spotlight_env_value + else: + spotlight_from_env = parsed + + # Apply precedence rules per spec: + # https://develop.sentry.dev/sdk/expected-features/spotlight/#precedence-rules + if spotlight_config is False: + # Config explicitly disables spotlight - warn if env var was set + if spotlight_from_env: + sentry_logger.warning( + "Spotlight is disabled via spotlight=False config option, " + "ignoring SENTRY_SPOTLIGHT environment variable." + ) + return None + elif spotlight_config is True: + # Config enables spotlight with boolean true + # If env var has URL, use env var URL per spec + if spotlight_env_url: + return spotlight_env_url + else: + return DEFAULT_SPOTLIGHT_URL + elif isinstance(spotlight_config, str): + # Config has URL string - use config URL, warn if env var differs + if spotlight_env_value and spotlight_env_value != spotlight_config: + sentry_logger.warning( + "Spotlight URL from config (%s) takes precedence over " + "SENTRY_SPOTLIGHT environment variable (%s).", + spotlight_config, + spotlight_env_value, + ) + return spotlight_config + elif spotlight_config is None: + # No config - use env var + if spotlight_env_url: + return spotlight_env_url + elif spotlight_from_env: + return DEFAULT_SPOTLIGHT_URL + # else: stays None (disabled) + + return None + + def setup_spotlight(options): # type: (Dict[str, Any]) -> Optional[SpotlightClient] + url = _resolve_spotlight_url(options.get("spotlight"), sentry_logger) + + if url is None: + return None + + # Only set up logging handler when spotlight is actually enabled _handler = logging.StreamHandler(sys.stderr) _handler.setFormatter(logging.Formatter(" [spotlight] %(levelname)s: %(message)s")) logger.addHandler(_handler) logger.setLevel(logging.INFO) - url = options.get("spotlight") - - if url is True: - url = DEFAULT_SPOTLIGHT_URL - - if not isinstance(url, str): - return None + # Update options with resolved URL for consistency + options["spotlight"] = url with capture_internal_exceptions(): if ( diff --git a/tests/test_client.py b/tests/test_client.py index a5b0b44931..35edfdb5b7 100644 --- a/tests/test_client.py +++ b/tests/test_client.py @@ -1181,7 +1181,8 @@ def test_debug_option( (None, "t", DEFAULT_SPOTLIGHT_URL), (None, "1", DEFAULT_SPOTLIGHT_URL), (True, None, DEFAULT_SPOTLIGHT_URL), - (True, "http://localhost:8080/slurp", DEFAULT_SPOTLIGHT_URL), + # Per spec: spotlight=True + env URL -> use env URL + (True, "http://localhost:8080/slurp", "http://localhost:8080/slurp"), ("http://localhost:8080/slurp", "f", "http://localhost:8080/slurp"), (None, "http://localhost:8080/slurp", "http://localhost:8080/slurp"), ], diff --git a/tests/test_spotlight.py b/tests/test_spotlight.py index d00c4eb8fc..f554ff7c5b 100644 --- a/tests/test_spotlight.py +++ b/tests/test_spotlight.py @@ -1,6 +1,7 @@ import pytest import sentry_sdk +from sentry_sdk.spotlight import DEFAULT_SPOTLIGHT_URL @pytest.fixture @@ -54,3 +55,69 @@ def test_spotlight_envelope(sentry_init, capture_spotlight_envelopes): payload = envelope.items[0].payload.json assert payload["exception"]["values"][0]["value"] == "aha!" + + +def test_spotlight_true_with_env_url_uses_env_url(sentry_init, monkeypatch): + """Per spec: spotlight=True + env URL -> use env URL""" + monkeypatch.setenv("SENTRY_SPOTLIGHT", "http://custom:9999/stream") + sentry_init(spotlight=True) + + spotlight = sentry_sdk.get_client().spotlight + assert spotlight is not None + assert spotlight.url == "http://custom:9999/stream" + + +def test_spotlight_false_ignores_env_var(sentry_init, monkeypatch, caplog): + """Per spec: spotlight=False ignores env var and logs warning""" + import logging + + with caplog.at_level(logging.WARNING, logger="sentry_sdk.errors"): + monkeypatch.setenv("SENTRY_SPOTLIGHT", "true") + sentry_init(spotlight=False, debug=True) + + assert sentry_sdk.get_client().spotlight is None + assert "ignoring SENTRY_SPOTLIGHT environment variable" in caplog.text + + +def test_spotlight_config_url_overrides_env_url_with_warning( + sentry_init, monkeypatch, caplog +): + """Per spec: config URL takes precedence over env URL with warning""" + import logging + + with caplog.at_level(logging.WARNING, logger="sentry_sdk.errors"): + monkeypatch.setenv("SENTRY_SPOTLIGHT", "http://env:9999/stream") + sentry_init(spotlight="http://config:8888/stream", debug=True) + + spotlight = sentry_sdk.get_client().spotlight + assert spotlight is not None + assert spotlight.url == "http://config:8888/stream" + assert "takes precedence over" in caplog.text + + +def test_spotlight_config_url_same_as_env_no_warning(sentry_init, monkeypatch, caplog): + """No warning when config URL matches env URL""" + import logging + + with caplog.at_level(logging.WARNING, logger="sentry_sdk.errors"): + monkeypatch.setenv("SENTRY_SPOTLIGHT", "http://same:9999/stream") + sentry_init(spotlight="http://same:9999/stream", debug=True) + + spotlight = sentry_sdk.get_client().spotlight + assert spotlight is not None + assert spotlight.url == "http://same:9999/stream" + assert "takes precedence over" not in caplog.text + + +def test_spotlight_receives_session_envelopes(sentry_init, capture_spotlight_envelopes): + """Spotlight should receive session envelopes, not just error events""" + sentry_init(spotlight=True, release="test-release") + envelopes = capture_spotlight_envelopes() + + # Start and end a session + sentry_sdk.get_isolation_scope().start_session() + sentry_sdk.get_isolation_scope().end_session() + sentry_sdk.flush() + + # Should have received at least one envelope with session data + assert len(envelopes) > 0 From 4df00564dc0b0a11904c52ab2c41f540598c46e4 Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Tue, 2 Dec 2025 11:29:02 +0100 Subject: [PATCH 45/51] fix(integrations): anthropic set `GEN_AI_OPERATION_NAME` (#5185) #### Issues Contributes to https://linear.app/getsentry/issue/TET-1524/ensure-all-sdks-report-gen-aioperationname --- sentry_sdk/integrations/anthropic.py | 1 + tests/integrations/anthropic/test_anthropic.py | 17 +++++++++++++++++ 2 files changed, 18 insertions(+) diff --git a/sentry_sdk/integrations/anthropic.py b/sentry_sdk/integrations/anthropic.py index 553e703b62..208a4706f5 100644 --- a/sentry_sdk/integrations/anthropic.py +++ b/sentry_sdk/integrations/anthropic.py @@ -124,6 +124,7 @@ def _set_input_data(span, kwargs, integration): """ Set input data for the span based on the provided keyword arguments for the anthropic message creation. """ + set_data_normalized(span, SPANDATA.GEN_AI_OPERATION_NAME, "chat") system_prompt = kwargs.get("system") messages = kwargs.get("messages") if ( diff --git a/tests/integrations/anthropic/test_anthropic.py b/tests/integrations/anthropic/test_anthropic.py index c1d449f892..2204505d47 100644 --- a/tests/integrations/anthropic/test_anthropic.py +++ b/tests/integrations/anthropic/test_anthropic.py @@ -118,6 +118,7 @@ def test_nonstreaming_create_message( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -187,6 +188,7 @@ async def test_nonstreaming_create_message_async( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -287,6 +289,7 @@ def test_streaming_create_message( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -391,6 +394,7 @@ async def test_streaming_create_message_async( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -522,6 +526,7 @@ def test_streaming_create_message_with_input_json_delta( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -662,6 +667,7 @@ async def test_streaming_create_message_with_input_json_delta_async( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -725,6 +731,7 @@ def test_span_status_error(sentry_init, capture_events): assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" + assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" @pytest.mark.asyncio @@ -749,6 +756,7 @@ async def test_span_status_error_async(sentry_init, capture_events): assert transaction["spans"][0]["status"] == "internal_error" assert transaction["spans"][0]["tags"]["status"] == "internal_error" assert transaction["contexts"]["trace"]["status"] == "internal_error" + assert transaction["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" @pytest.mark.asyncio @@ -796,6 +804,7 @@ def test_span_origin(sentry_init, capture_events): assert event["contexts"]["trace"]["origin"] == "manual" assert event["spans"][0]["origin"] == "auto.ai.anthropic" + assert event["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" @pytest.mark.asyncio @@ -823,6 +832,7 @@ async def test_span_origin_async(sentry_init, capture_events): assert event["contexts"]["trace"]["origin"] == "manual" assert event["spans"][0]["origin"] == "auto.ai.anthropic" + assert event["spans"][0]["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" @pytest.mark.skipif( @@ -926,6 +936,7 @@ def mock_messages_create(*args, **kwargs): # Verify that the span was created correctly assert span["op"] == "gen_ai.chat" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] # Parse the stored messages @@ -985,6 +996,7 @@ def test_anthropic_message_truncation(sentry_init, capture_events): assert len(chat_spans) > 0 chat_span = chat_spans[0] + assert chat_span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert SPANDATA.GEN_AI_REQUEST_MESSAGES in chat_span["data"] messages_data = chat_span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES] @@ -1052,6 +1064,7 @@ def test_nonstreaming_create_message_with_system_prompt( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -1130,6 +1143,7 @@ async def test_nonstreaming_create_message_with_system_prompt_async( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -1240,6 +1254,7 @@ def test_streaming_create_message_with_system_prompt( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -1354,6 +1369,7 @@ async def test_streaming_create_message_with_system_prompt_async( assert span["op"] == OP.GEN_AI_CHAT assert span["description"] == "chat model" + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert span["data"][SPANDATA.GEN_AI_REQUEST_MODEL] == "model" if send_default_pii and include_prompts: @@ -1414,6 +1430,7 @@ def test_system_prompt_with_complex_structure(sentry_init, capture_events): assert len(event["spans"]) == 1 (span,) = event["spans"] + assert span["data"][SPANDATA.GEN_AI_OPERATION_NAME] == "chat" assert SPANDATA.GEN_AI_REQUEST_MESSAGES in span["data"] stored_messages = json.loads(span["data"][SPANDATA.GEN_AI_REQUEST_MESSAGES]) From 9c9510d7d324dfd521aca952f61320aa2313b287 Mon Sep 17 00:00:00 2001 From: Fabian Schindler Date: Tue, 2 Dec 2025 14:51:07 +0100 Subject: [PATCH 46/51] feat(integrations): openai-agents: add usage and response model reporting for chat and invoke_agent spans (#5157) #### Issues Closes https://linear.app/getsentry/issue/TET-1457/py-openai-agents-attributes-missing --------- Co-authored-by: Alexander Alderman Webb --- .../openai_agents/patches/agent_run.py | 9 +- .../openai_agents/patches/models.py | 27 +- .../openai_agents/patches/runner.py | 4 +- .../openai_agents/spans/ai_client.py | 12 +- .../openai_agents/spans/invoke_agent.py | 6 +- .../openai_agents/test_openai_agents.py | 565 ++++++++++++++++++ 6 files changed, 615 insertions(+), 8 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index b25bf82ad5..57a68f2f5d 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -8,6 +8,8 @@ if TYPE_CHECKING: from typing import Any, Optional + from sentry_sdk.tracing import Span + try: import agents except ImportError: @@ -27,13 +29,15 @@ def _patch_agent_run(): original_execute_final_output = agents._run_impl.RunImpl.execute_final_output def _start_invoke_agent_span(context_wrapper, agent, kwargs): - # type: (agents.RunContextWrapper, agents.Agent, dict[str, Any]) -> None + # type: (agents.RunContextWrapper, agents.Agent, dict[str, Any]) -> Span """Start an agent invocation span""" # Store the agent on the context wrapper so we can access it later context_wrapper._sentry_current_agent = agent span = invoke_agent_span(context_wrapper, agent, kwargs) context_wrapper._sentry_agent_span = span + return span + def _end_invoke_agent_span(context_wrapper, agent, output=None): # type: (agents.RunContextWrapper, agents.Agent, Optional[Any]) -> None """End the agent invocation span""" @@ -73,7 +77,8 @@ async def patched_run_single_turn(cls, *args, **kwargs): if current_agent and current_agent != agent: _end_invoke_agent_span(context_wrapper, current_agent) - _start_invoke_agent_span(context_wrapper, agent, kwargs) + span = _start_invoke_agent_span(context_wrapper, agent, kwargs) + agent._sentry_agent_span = span # Call original method with all the correct parameters result = await original_run_single_turn(*args, **kwargs) diff --git a/sentry_sdk/integrations/openai_agents/patches/models.py b/sentry_sdk/integrations/openai_agents/patches/models.py index e6f24da6a1..feaa0c33d2 100644 --- a/sentry_sdk/integrations/openai_agents/patches/models.py +++ b/sentry_sdk/integrations/openai_agents/patches/models.py @@ -3,6 +3,7 @@ from sentry_sdk.integrations import DidNotEnable from ..spans import ai_client_span, update_ai_client_span +from sentry_sdk.consts import SPANDATA from typing import TYPE_CHECKING @@ -33,13 +34,37 @@ def wrapped_get_model(cls, agent, run_config): model = original_get_model(agent, run_config) original_get_response = model.get_response + # Wrap _fetch_response if it exists (for OpenAI models) to capture raw response model + if hasattr(model, "_fetch_response"): + original_fetch_response = model._fetch_response + + @wraps(original_fetch_response) + async def wrapped_fetch_response(*args, **kwargs): + # type: (*Any, **Any) -> Any + response = await original_fetch_response(*args, **kwargs) + if hasattr(response, "model"): + agent._sentry_raw_response_model = str(response.model) + return response + + model._fetch_response = wrapped_fetch_response + @wraps(original_get_response) async def wrapped_get_response(*args, **kwargs): # type: (*Any, **Any) -> Any with ai_client_span(agent, kwargs) as span: result = await original_get_response(*args, **kwargs) - update_ai_client_span(span, agent, kwargs, result) + response_model = getattr(agent, "_sentry_raw_response_model", None) + if response_model: + agent_span = getattr(agent, "_sentry_agent_span", None) + if agent_span: + agent_span.set_data( + SPANDATA.GEN_AI_RESPONSE_MODEL, response_model + ) + + delattr(agent, "_sentry_raw_response_model") + + update_ai_client_span(span, agent, kwargs, result, response_model) return result diff --git a/sentry_sdk/integrations/openai_agents/patches/runner.py b/sentry_sdk/integrations/openai_agents/patches/runner.py index 745f30a38e..05c15da4d1 100644 --- a/sentry_sdk/integrations/openai_agents/patches/runner.py +++ b/sentry_sdk/integrations/openai_agents/patches/runner.py @@ -26,9 +26,11 @@ async def wrapper(*args, **kwargs): # Isolate each workflow so that when agents are run in asyncio tasks they # don't touch each other's scopes with sentry_sdk.isolation_scope(): - agent = args[0] + # Clone agent because agent invocation spans are attached per run. + agent = args[0].clone() with agent_workflow_span(agent): result = None + args = (agent, *args[1:]) try: result = await original_func(*args, **kwargs) return result diff --git a/sentry_sdk/integrations/openai_agents/spans/ai_client.py b/sentry_sdk/integrations/openai_agents/spans/ai_client.py index e424e93888..8f233fbc14 100644 --- a/sentry_sdk/integrations/openai_agents/spans/ai_client.py +++ b/sentry_sdk/integrations/openai_agents/spans/ai_client.py @@ -14,7 +14,7 @@ if TYPE_CHECKING: from agents import Agent - from typing import Any + from typing import Any, Optional def ai_client_span(agent, get_response_kwargs): @@ -35,8 +35,14 @@ def ai_client_span(agent, get_response_kwargs): return span -def update_ai_client_span(span, agent, get_response_kwargs, result): - # type: (sentry_sdk.tracing.Span, Agent, dict[str, Any], Any) -> None +def update_ai_client_span( + span, agent, get_response_kwargs, result, response_model=None +): + # type: (sentry_sdk.tracing.Span, Agent, dict[str, Any], Any, Optional[str]) -> None _set_usage_data(span, result.usage) _set_output_data(span, result) _create_mcp_execute_tool_spans(span, result) + + # Set response model if captured from raw response + if response_model is not None: + span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model) diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py index d8254cc1dd..5d1731f247 100644 --- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py +++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py @@ -10,7 +10,7 @@ from sentry_sdk.utils import safe_serialize from ..consts import SPAN_ORIGIN -from ..utils import _set_agent_data +from ..utils import _set_agent_data, _set_usage_data from typing import TYPE_CHECKING @@ -84,6 +84,10 @@ def update_invoke_agent_span(context, agent, output): span = getattr(context, "_sentry_agent_span", None) if span: + # Add aggregated usage data from context_wrapper + if hasattr(context, "usage"): + _set_usage_data(span, context.usage) + if should_send_default_pii(): set_data_normalized( span, SPANDATA.GEN_AI_RESPONSE_TEXT, output, unpack=False diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index a1d85ba71a..03cedd4447 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -1231,6 +1231,571 @@ def failing_tool(message: str) -> str: assert execute_tool_span["tags"]["status"] == "internal_error" +@pytest.mark.asyncio +async def test_invoke_agent_span_includes_usage_data( + sentry_init, capture_events, test_agent, mock_usage +): + """ + Test that invoke_agent spans include aggregated usage data from context_wrapper. + This verifies the new functionality added to track token usage in invoke_agent spans. + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + # Create a response with usage data + response = ModelResponse( + output=[ + ResponseOutputMessage( + id="msg_123", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Response with usage", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ], + usage=mock_usage, + response_id="resp_123", + ) + mock_get_response.return_value = response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await agents.Runner.run( + test_agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span, ai_client_span = spans + + # Verify invoke_agent span has usage data from context_wrapper + assert invoke_agent_span["description"] == "invoke_agent test_agent" + assert "gen_ai.usage.input_tokens" in invoke_agent_span["data"] + assert "gen_ai.usage.output_tokens" in invoke_agent_span["data"] + assert "gen_ai.usage.total_tokens" in invoke_agent_span["data"] + + # The usage should match the mock_usage values (aggregated across all calls) + assert invoke_agent_span["data"]["gen_ai.usage.input_tokens"] == 10 + assert invoke_agent_span["data"]["gen_ai.usage.output_tokens"] == 20 + assert invoke_agent_span["data"]["gen_ai.usage.total_tokens"] == 30 + assert invoke_agent_span["data"]["gen_ai.usage.input_tokens.cached"] == 0 + assert invoke_agent_span["data"]["gen_ai.usage.output_tokens.reasoning"] == 5 + + +@pytest.mark.asyncio +async def test_ai_client_span_includes_response_model( + sentry_init, capture_events, test_agent +): + """ + Test that ai_client spans (gen_ai.chat) include the response model from the actual API response. + This verifies the new functionality to capture the model used in the response. + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + # Mock the _fetch_response method to return a response with a model field + with patch( + "agents.models.openai_responses.OpenAIResponsesModel._fetch_response" + ) as mock_fetch_response: + # Create a mock OpenAI Response object with a model field + mock_response = MagicMock() + mock_response.model = "gpt-4.1-2025-04-14" # The actual response model + mock_response.id = "resp_123" + mock_response.output = [ + ResponseOutputMessage( + id="msg_123", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Hello from GPT-4.1", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ] + mock_response.usage = MagicMock() + mock_response.usage.input_tokens = 10 + mock_response.usage.output_tokens = 20 + mock_response.usage.total_tokens = 30 + mock_response.usage.input_tokens_details = InputTokensDetails( + cached_tokens=0 + ) + mock_response.usage.output_tokens_details = OutputTokensDetails( + reasoning_tokens=5 + ) + + mock_fetch_response.return_value = mock_response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await agents.Runner.run( + test_agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + _, ai_client_span = spans + + # Verify ai_client span has response model + assert ai_client_span["description"] == "chat gpt-4" + assert "gen_ai.response.model" in ai_client_span["data"] + assert ai_client_span["data"]["gen_ai.response.model"] == "gpt-4.1-2025-04-14" + + +@pytest.mark.asyncio +async def test_ai_client_span_response_model_with_chat_completions( + sentry_init, capture_events +): + """ + Test that response model is captured when using ChatCompletions API (not Responses API). + This ensures our implementation works with different OpenAI model types. + """ + # Create agent that uses ChatCompletions model + agent = Agent( + name="chat_completions_agent", + instructions="Test agent using ChatCompletions", + model="gpt-4o-mini", + ) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + # Mock the get_response method directly since ChatCompletions may use Responses API anyway + with patch( + "agents.models.openai_responses.OpenAIResponsesModel._fetch_response" + ) as mock_fetch_response: + # Create a mock Response object with a model field + mock_response = MagicMock() + mock_response.model = "gpt-4o-mini-2024-07-18" # Actual response model + mock_response.id = "resp_123" + mock_response.output = [ + ResponseOutputMessage( + id="msg_123", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Response from model", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ] + mock_response.usage = MagicMock() + mock_response.usage.input_tokens = 15 + mock_response.usage.output_tokens = 25 + mock_response.usage.total_tokens = 40 + mock_response.usage.input_tokens_details = InputTokensDetails( + cached_tokens=0 + ) + mock_response.usage.output_tokens_details = OutputTokensDetails( + reasoning_tokens=0 + ) + + mock_fetch_response.return_value = mock_response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + result = await agents.Runner.run( + agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + _, ai_client_span = spans + + # Verify response model from Response is captured + assert "gen_ai.response.model" in ai_client_span["data"] + assert ai_client_span["data"]["gen_ai.response.model"] == "gpt-4o-mini-2024-07-18" + + +@pytest.mark.asyncio +async def test_multiple_llm_calls_aggregate_usage( + sentry_init, capture_events, test_agent +): + """ + Test that invoke_agent spans show aggregated usage across multiple LLM calls + (e.g., when tools are used and multiple API calls are made). + """ + + @agents.function_tool + def calculator(a: int, b: int) -> int: + """Add two numbers""" + return a + b + + agent_with_tool = test_agent.clone(tools=[calculator]) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + # First call: agent decides to use tool (10 input, 5 output tokens) + tool_call_response = ModelResponse( + output=[ + ResponseFunctionToolCall( + id="call_123", + call_id="call_123", + name="calculator", + type="function_call", + arguments='{"a": 5, "b": 3}', + ) + ], + usage=Usage( + requests=1, + input_tokens=10, + output_tokens=5, + total_tokens=15, + input_tokens_details=InputTokensDetails(cached_tokens=0), + output_tokens_details=OutputTokensDetails(reasoning_tokens=0), + ), + response_id="resp_tool_call", + ) + + # Second call: agent uses tool result to respond (20 input, 15 output tokens) + final_response = ModelResponse( + output=[ + ResponseOutputMessage( + id="msg_final", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="The result is 8", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ], + usage=Usage( + requests=1, + input_tokens=20, + output_tokens=15, + total_tokens=35, + input_tokens_details=InputTokensDetails(cached_tokens=5), + output_tokens_details=OutputTokensDetails(reasoning_tokens=3), + ), + response_id="resp_final", + ) + + mock_get_response.side_effect = [tool_call_response, final_response] + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await agents.Runner.run( + agent_with_tool, + "What is 5 + 3?", + run_config=test_run_config, + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span = spans[0] + + # Verify invoke_agent span has aggregated usage from both API calls + # Total: 10 + 20 = 30 input tokens, 5 + 15 = 20 output tokens, 15 + 35 = 50 total + assert invoke_agent_span["data"]["gen_ai.usage.input_tokens"] == 30 + assert invoke_agent_span["data"]["gen_ai.usage.output_tokens"] == 20 + assert invoke_agent_span["data"]["gen_ai.usage.total_tokens"] == 50 + # Cached tokens should be aggregated: 0 + 5 = 5 + assert invoke_agent_span["data"]["gen_ai.usage.input_tokens.cached"] == 5 + # Reasoning tokens should be aggregated: 0 + 3 = 3 + assert invoke_agent_span["data"]["gen_ai.usage.output_tokens.reasoning"] == 3 + + +@pytest.mark.asyncio +async def test_response_model_not_set_when_unavailable( + sentry_init, capture_events, test_agent +): + """ + Test that response model is not set if the raw response doesn't have a model field. + This can happen with custom model implementations. + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + # Mock without _fetch_response (simulating custom model without this method) + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + response = ModelResponse( + output=[ + ResponseOutputMessage( + id="msg_123", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Response without model field", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ], + usage=Usage( + requests=1, + input_tokens=10, + output_tokens=20, + total_tokens=30, + ), + response_id="resp_123", + ) + # Don't set _sentry_response_model attribute + mock_get_response.return_value = response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + # Remove the _fetch_response method to simulate custom model + with patch.object( + agents.models.openai_responses.OpenAIResponsesModel, + "_fetch_response", + None, + ): + result = await agents.Runner.run( + test_agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + _, ai_client_span = spans + + # When response model can't be captured, it shouldn't be in the span data + # (we only set it when we can accurately capture it) + assert "gen_ai.response.model" not in ai_client_span["data"] + + +@pytest.mark.asyncio +async def test_invoke_agent_span_includes_response_model( + sentry_init, capture_events, test_agent +): + """ + Test that invoke_agent spans include the response model. + When an agent makes multiple LLM calls, it should report the last model used. + """ + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel._fetch_response" + ) as mock_fetch_response: + # Create a mock OpenAI Response object with a model field + mock_response = MagicMock() + mock_response.model = "gpt-4.1-2025-04-14" # The actual response model + mock_response.id = "resp_123" + mock_response.output = [ + ResponseOutputMessage( + id="msg_123", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="Response from model", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ] + mock_response.usage = MagicMock() + mock_response.usage.input_tokens = 10 + mock_response.usage.output_tokens = 20 + mock_response.usage.total_tokens = 30 + mock_response.usage.input_tokens_details = InputTokensDetails( + cached_tokens=0 + ) + mock_response.usage.output_tokens_details = OutputTokensDetails( + reasoning_tokens=5 + ) + + mock_fetch_response.return_value = mock_response + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await agents.Runner.run( + test_agent, "Test input", run_config=test_run_config + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span, ai_client_span = spans + + # Verify invoke_agent span has response model + assert invoke_agent_span["description"] == "invoke_agent test_agent" + assert "gen_ai.response.model" in invoke_agent_span["data"] + assert invoke_agent_span["data"]["gen_ai.response.model"] == "gpt-4.1-2025-04-14" + + # Also verify ai_client span has it + assert "gen_ai.response.model" in ai_client_span["data"] + assert ai_client_span["data"]["gen_ai.response.model"] == "gpt-4.1-2025-04-14" + + +@pytest.mark.asyncio +async def test_invoke_agent_span_uses_last_response_model( + sentry_init, capture_events, test_agent +): + """ + Test that when an agent makes multiple LLM calls (e.g., with tools), + the invoke_agent span reports the last response model used. + """ + + @agents.function_tool + def calculator(a: int, b: int) -> int: + """Add two numbers""" + return a + b + + agent_with_tool = test_agent.clone(tools=[calculator]) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel._fetch_response" + ) as mock_fetch_response: + # First call: gpt-4 model + first_response = MagicMock() + first_response.model = "gpt-4-0613" + first_response.id = "resp_1" + first_response.output = [ + ResponseFunctionToolCall( + id="call_123", + call_id="call_123", + name="calculator", + type="function_call", + arguments='{"a": 5, "b": 3}', + ) + ] + first_response.usage = MagicMock() + first_response.usage.input_tokens = 10 + first_response.usage.output_tokens = 5 + first_response.usage.total_tokens = 15 + first_response.usage.input_tokens_details = InputTokensDetails( + cached_tokens=0 + ) + first_response.usage.output_tokens_details = OutputTokensDetails( + reasoning_tokens=0 + ) + + # Second call: different model (e.g., after tool execution) + second_response = MagicMock() + second_response.model = "gpt-4.1-2025-04-14" # Different model + second_response.id = "resp_2" + second_response.output = [ + ResponseOutputMessage( + id="msg_final", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="The result is 8", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ] + second_response.usage = MagicMock() + second_response.usage.input_tokens = 20 + second_response.usage.output_tokens = 15 + second_response.usage.total_tokens = 35 + second_response.usage.input_tokens_details = InputTokensDetails( + cached_tokens=5 + ) + second_response.usage.output_tokens_details = OutputTokensDetails( + reasoning_tokens=3 + ) + + mock_fetch_response.side_effect = [first_response, second_response] + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + result = await agents.Runner.run( + agent_with_tool, + "What is 5 + 3?", + run_config=test_run_config, + ) + + assert result is not None + + (transaction,) = events + spans = transaction["spans"] + invoke_agent_span = spans[0] + first_ai_client_span = spans[1] + second_ai_client_span = spans[3] # After tool span + + # Verify invoke_agent span uses the LAST response model + assert "gen_ai.response.model" in invoke_agent_span["data"] + assert invoke_agent_span["data"]["gen_ai.response.model"] == "gpt-4.1-2025-04-14" + + # Verify each ai_client span has its own response model + assert first_ai_client_span["data"]["gen_ai.response.model"] == "gpt-4-0613" + assert ( + second_ai_client_span["data"]["gen_ai.response.model"] == "gpt-4.1-2025-04-14" + ) + + def test_openai_agents_message_truncation(sentry_init, capture_events): """Test that large messages are truncated properly in OpenAI Agents integration.""" From 9a9fbfef0b1d3940b16cef128b24996583072dd5 Mon Sep 17 00:00:00 2001 From: Neel Shah Date: Tue, 2 Dec 2025 15:36:37 +0100 Subject: [PATCH 47/51] fix: Make PropagationContext.from_incoming_data always return a PropagationContext (#5186) ### Description When there is any sort of incoming data, and since `continue_trace` is always intended to be at a system boundary, we always want to force a new trace if there's no incoming propagation or a mismatched propagation headers (for `strict_trace_continuation`). What previously happened in these cases: a single `trace_id` was kept alive in the `propagation_context` even when these were meant to be new independent traces (see screenshot that shows undesired behavior before this fix). I think this will actually solve many complaints about long living traces that were never supposed to be such. image --- sentry_sdk/scope.py | 9 +++++---- sentry_sdk/tracing_utils.py | 8 ++++---- tests/tracing/test_integration_tests.py | 11 +++++++++++ 3 files changed, 20 insertions(+), 8 deletions(-) diff --git a/sentry_sdk/scope.py b/sentry_sdk/scope.py index 2038dc4501..466e1b5b12 100644 --- a/sentry_sdk/scope.py +++ b/sentry_sdk/scope.py @@ -510,11 +510,12 @@ def generate_propagation_context(self, incoming_data=None): If there is `incoming_data` overwrite existing propagation context. If there is no `incoming_data` create new propagation context, but do NOT overwrite if already existing. """ - if incoming_data: - propagation_context = PropagationContext.from_incoming_data(incoming_data) - if propagation_context is not None: - self._propagation_context = propagation_context + if incoming_data is not None: + self._propagation_context = PropagationContext.from_incoming_data( + incoming_data + ) + # TODO-neel this below is a BIG code smell but requires a bunch of other refactoring if self._type != ScopeType.CURRENT: if self._propagation_context is None: self.set_new_propagation_context() diff --git a/sentry_sdk/tracing_utils.py b/sentry_sdk/tracing_utils.py index b6c184838c..69ba197ddf 100644 --- a/sentry_sdk/tracing_utils.py +++ b/sentry_sdk/tracing_utils.py @@ -447,7 +447,8 @@ def __init__( @classmethod def from_incoming_data(cls, incoming_data): - # type: (Dict[str, Any]) -> Optional[PropagationContext] + # type: (Dict[str, Any]) -> PropagationContext + propagation_context = PropagationContext() normalized_data = normalize_incoming_data(incoming_data) sentry_trace_header = normalized_data.get(SENTRY_TRACE_HEADER_NAME) @@ -455,7 +456,7 @@ def from_incoming_data(cls, incoming_data): # nothing to propagate if no sentry-trace if sentrytrace_data is None: - return None + return propagation_context baggage_header = normalized_data.get(BAGGAGE_HEADER_NAME) baggage = ( @@ -463,9 +464,8 @@ def from_incoming_data(cls, incoming_data): ) if not _should_continue_trace(baggage): - return None + return propagation_context - propagation_context = PropagationContext() propagation_context.update(sentrytrace_data) if baggage: propagation_context.baggage = baggage diff --git a/tests/tracing/test_integration_tests.py b/tests/tracing/test_integration_tests.py index 117f2ef844..80945c1db5 100644 --- a/tests/tracing/test_integration_tests.py +++ b/tests/tracing/test_integration_tests.py @@ -419,3 +419,14 @@ def test_continue_trace_strict_trace_continuation( ) assert transaction.parent_span_id != "1234567890abcdef" assert not transaction.parent_sampled + + +def test_continue_trace_forces_new_traces_when_no_propagation(sentry_init): + """This is to make sure we don't have a long running trace because of TWP logic for the no propagation case.""" + + sentry_init(traces_sample_rate=1.0) + + tx1 = continue_trace({}, name="tx1") + tx2 = continue_trace({}, name="tx2") + + assert tx1.trace_id != tx2.trace_id From d2d3d3545f7a63a839a92ebab84b4a682b449af4 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Wed, 3 Dec 2025 09:46:37 +0100 Subject: [PATCH 48/51] test: Import integrations with empty shadow modules (#5150) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add a test parametrized on our integrations. The test detects if the integration imports modules not in the standard library, and if so, verifies that importing the integration with an empty shadow module raises a `DidNotEnable` exception. Adding integrations to be auto-enabling can cause SDK crashes in two specific cases we encountered at the end of last week: - the user has an old package version that we don’t support, resulting in an `ImportError` when we patch something that does not yet exist; or - something like an `agents.py` in the environment shadows the import and causes an `ImportError` if the auto-activation still triggers. All integrations with poorly gated imports are not auto-enabling, but some affected integrations are new (e.g., litellm). Closes https://github.com/getsentry/sentry-python/issues/5140 --- .github/workflows/test-integrations-misc.yml | 4 + .../populate_tox/package_dependencies.jsonl | 42 +++---- scripts/populate_tox/populate_tox.py | 1 + scripts/populate_tox/releases.jsonl | 28 ++--- scripts/populate_tox/tox.jinja | 8 ++ .../split_tox_gh_actions.py | 1 + tests/test_shadowed_module.py | 118 ++++++++++++++++++ tox.ini | 68 +++++----- 8 files changed, 205 insertions(+), 65 deletions(-) create mode 100644 tests/test_shadowed_module.py diff --git a/.github/workflows/test-integrations-misc.yml b/.github/workflows/test-integrations-misc.yml index 606429dcfd..edb958cb19 100644 --- a/.github/workflows/test-integrations-misc.yml +++ b/.github/workflows/test-integrations-misc.yml @@ -82,6 +82,10 @@ jobs: run: | set -x # print commands that are executed ./scripts/runtox.sh "py${{ matrix.python-version }}-integration_deactivation" + - name: Test shadowed_module + run: | + set -x # print commands that are executed + 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:: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Software Development", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Application Frameworks", "Topic :: Software Development :: Libraries :: Python Modules", "Typing :: Typed"], "name": "typer", "requires_python": ">=3.8", "version": "0.20.0", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "typer-0.20.0-py3-none-any.whl"}, {"packagetype": "sdist", "filename": "typer-0.20.0.tar.gz"}]} +{"info": {"classifiers": ["Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.9", "Programming Language :: Rust"], "name": "uuid-utils", "requires_python": ">=3.9", "version": "0.12.0", "yanked": false}, "urls": [{"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-musllinux_1_2_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-musllinux_1_2_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-musllinux_1_2_i686.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-cp39-abi3-win_arm64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.12.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "sdist", "filename": "uuid_utils-0.12.0.tar.gz"}]} diff --git a/scripts/populate_tox/tox.jinja b/scripts/populate_tox/tox.jinja index e4c2bcd2a5..e01832abcb 100755 --- a/scripts/populate_tox/tox.jinja +++ b/scripts/populate_tox/tox.jinja @@ -26,6 +26,9 @@ envlist = # === Integration Deactivation === {py3.9,py3.10,py3.11,py3.12,py3.13,py3.14}-integration_deactivation + # === Shadowed Module === + {py3.7,py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-shadowed_module + # === Integrations === # Asgi @@ -157,10 +160,15 @@ setenv = django: DJANGO_SETTINGS_MODULE=tests.integrations.django.myapp.settings spark-v{3.0.3,3.5.6}: JAVA_HOME=/usr/lib/jvm/temurin-11-jdk-amd64 + # Avoid polluting test suite with imports + common: PYTEST_ADDOPTS="--ignore=tests/test_shadowed_module.py" + gevent: PYTEST_ADDOPTS="--ignore=tests/test_shadowed_module.py" + # TESTPATH definitions for test suites not managed by toxgen common: TESTPATH=tests gevent: TESTPATH=tests integration_deactivation: TESTPATH=tests/test_ai_integration_deactivation.py + shadowed_module: TESTPATH=tests/test_shadowed_module.py asgi: TESTPATH=tests/integrations/asgi aws_lambda: TESTPATH=tests/integrations/aws_lambda cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context diff --git a/scripts/split_tox_gh_actions/split_tox_gh_actions.py b/scripts/split_tox_gh_actions/split_tox_gh_actions.py index a8a2ab26af..b59e768a56 100755 --- a/scripts/split_tox_gh_actions/split_tox_gh_actions.py +++ b/scripts/split_tox_gh_actions/split_tox_gh_actions.py @@ -163,6 +163,7 @@ "trytond", "typer", "integration_deactivation", + "shadowed_module", ], } diff --git a/tests/test_shadowed_module.py b/tests/test_shadowed_module.py new file mode 100644 index 0000000000..e1171dd103 --- /dev/null +++ b/tests/test_shadowed_module.py @@ -0,0 +1,118 @@ +import sys +import ast +import types +import pkgutil +import importlib +import pathlib +import pytest + +from sentry_sdk import integrations +from sentry_sdk.integrations import _DEFAULT_INTEGRATIONS, Integration + + +def pytest_generate_tests(metafunc): + """ + All submodules of sentry_sdk.integrations are picked up, so modules + without a subclass of sentry_sdk.integrations.Integration are also tested + for poorly gated imports. + + This approach was chosen to keep the implementation simple. + """ + if "integration_submodule_name" in metafunc.fixturenames: + submodule_names = { + submodule_name + for _, submodule_name, _ in pkgutil.walk_packages(integrations.__path__) + } + + metafunc.parametrize( + "integration_submodule_name", + # Temporarily skip some integrations + submodule_names + - { + "clickhouse_driver", + "grpc", + "litellm", + "opentelemetry", + "pure_eval", + "ray", + "trytond", + "typer", + }, + ) + + +def find_unrecognized_dependencies(tree): + """ + Finds unrecognized imports in the AST for a Python module. In an empty + environment the set of non-standard library modules is returned. + """ + unrecognized_dependencies = set() + package_name = lambda name: name.split(".")[0] + + for node in ast.walk(tree): + if isinstance(node, ast.Import): + for alias in node.names: + root = package_name(alias.name) + + try: + if not importlib.util.find_spec(root): + unrecognized_dependencies.add(root) + except ValueError: + continue + + elif isinstance(node, ast.ImportFrom): + # if node.level is not 0 the import is relative + if node.level > 0 or node.module is None: + continue + + root = package_name(node.module) + + try: + if not importlib.util.find_spec(root): + unrecognized_dependencies.add(root) + except ValueError: + continue + + return unrecognized_dependencies + + +@pytest.mark.skipif( + sys.version_info < (3, 7), reason="asyncpg imports __future__.annotations" +) +def test_shadowed_modules_when_importing_integrations( + sentry_init, integration_submodule_name +): + """ + Check that importing integrations for third-party module raises an + DidNotEnable exception when the associated module is shadowed by an empty + module. + + An integration is determined to be for a third-party module if it cannot + be imported in the environment in which the tests run. + """ + module_path = f"sentry_sdk.integrations.{integration_submodule_name}" + try: + # If importing the integration succeeds in the current environment, assume + # that the integration has no non-standard imports. + importlib.import_module(module_path) + return + except integrations.DidNotEnable: + spec = importlib.util.find_spec(module_path) + source = pathlib.Path(spec.origin).read_text(encoding="utf-8") + tree = ast.parse(source, filename=spec.origin) + integration_dependencies = find_unrecognized_dependencies(tree) + + # For each non-standard import, create an empty shadow module to + # emulate an empty "agents.py" or analogous local module that + # shadows the package. + for dependency in integration_dependencies: + sys.modules[dependency] = types.ModuleType(dependency) + + # Importing the integration must raise DidNotEnable, since the + # SDK catches the exception type when attempting to activate + # auto-enabling integrations. + with pytest.raises(integrations.DidNotEnable): + importlib.import_module(module_path) + + for dependency in integration_dependencies: + del sys.modules[dependency] diff --git a/tox.ini b/tox.ini index 25e85b9d01..c042278e38 100644 --- a/tox.ini +++ b/tox.ini @@ -26,6 +26,9 @@ envlist = # === Integration Deactivation === {py3.9,py3.10,py3.11,py3.12,py3.13,py3.14}-integration_deactivation + # === Shadowed Module === + {py3.7,py3.8,py3.9,py3.10,py3.11,py3.12,py3.13,py3.14,py3.14t}-shadowed_module + # === Integrations === # Asgi @@ -54,14 +57,14 @@ envlist = # ~~~ MCP ~~~ {py3.10,py3.12,py3.13}-mcp-v1.15.0 - {py3.10,py3.12,py3.13}-mcp-v1.17.0 - {py3.10,py3.12,py3.13}-mcp-v1.19.0 - {py3.10,py3.12,py3.13}-mcp-v1.22.0 + {py3.10,py3.12,py3.13}-mcp-v1.18.0 + {py3.10,py3.12,py3.13}-mcp-v1.21.2 + {py3.10,py3.12,py3.13}-mcp-v1.23.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.13.1 + {py3.10,py3.12,py3.13}-fastmcp-v2.13.2 # ~~~ Agents ~~~ @@ -71,9 +74,9 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.1 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.8.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.16.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.25.1 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.9.1 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.18.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.26.0 # ~~~ AI Workflow ~~~ @@ -107,7 +110,7 @@ envlist = {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.0 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.6 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.1.7 {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 @@ -127,7 +130,7 @@ envlist = {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.0 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.1 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -143,7 +146,7 @@ envlist = {py3.6}-pymongo-v3.5.1 {py3.6,py3.10,py3.11}-pymongo-v3.13.0 - {py3.9,py3.13,py3.14,py3.14t}-pymongo-v4.15.4 + {py3.9,py3.13,py3.14,py3.14t}-pymongo-v4.15.5 {py3.6}-redis-v2.10.6 {py3.6,py3.7,py3.8}-redis-v3.5.3 @@ -237,8 +240,8 @@ envlist = {py3.6,py3.7}-django-v1.11.29 {py3.6,py3.8,py3.9}-django-v2.2.28 {py3.6,py3.9,py3.10}-django-v3.2.25 - {py3.8,py3.11,py3.12}-django-v4.2.26 - {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.8 + {py3.8,py3.11,py3.12}-django-v4.2.27 + {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.9 {py3.12,py3.13,py3.14,py3.14t}-django-v6.0rc1 {py3.6,py3.7,py3.8}-flask-v1.1.4 @@ -253,7 +256,7 @@ envlist = {py3.6,py3.9,py3.10}-fastapi-v0.79.1 {py3.7,py3.10,py3.11}-fastapi-v0.94.1 {py3.8,py3.11,py3.12}-fastapi-v0.109.2 - {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.123.0 + {py3.8,py3.13,py3.14,py3.14t}-fastapi-v0.123.5 # ~~~ Web 2 ~~~ @@ -377,15 +380,15 @@ deps = # ~~~ MCP ~~~ mcp-v1.15.0: mcp==1.15.0 - mcp-v1.17.0: mcp==1.17.0 - mcp-v1.19.0: mcp==1.19.0 - mcp-v1.22.0: mcp==1.22.0 + mcp-v1.18.0: mcp==1.18.0 + mcp-v1.21.2: mcp==1.21.2 + mcp-v1.23.1: mcp==1.23.1 mcp: pytest-asyncio fastmcp-v0.1.0: fastmcp==0.1.0 fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.13.1: fastmcp==2.13.1 + fastmcp-v2.13.2: fastmcp==2.13.2 fastmcp: pytest-asyncio @@ -397,9 +400,9 @@ deps = openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.8.0: pydantic-ai==1.8.0 - pydantic_ai-v1.16.0: pydantic-ai==1.16.0 - pydantic_ai-v1.25.1: pydantic-ai==1.25.1 + pydantic_ai-v1.9.1: pydantic-ai==1.9.1 + pydantic_ai-v1.18.0: pydantic-ai==1.18.0 + pydantic_ai-v1.26.0: pydantic-ai==1.26.0 pydantic_ai: pytest-asyncio @@ -451,7 +454,7 @@ deps = huggingface_hub-v0.24.7: huggingface_hub==0.24.7 huggingface_hub-v0.36.0: huggingface_hub==0.36.0 - huggingface_hub-v1.1.6: huggingface_hub==1.1.6 + huggingface_hub-v1.1.7: huggingface_hub==1.1.7 huggingface_hub: responses huggingface_hub: pytest-httpx @@ -478,7 +481,7 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.42.0: boto3==1.42.0 + boto3-v1.42.1: boto3==1.42.1 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -497,7 +500,7 @@ deps = pymongo-v3.5.1: pymongo==3.5.1 pymongo-v3.13.0: pymongo==3.13.0 - pymongo-v4.15.4: pymongo==4.15.4 + pymongo-v4.15.5: pymongo==4.15.5 pymongo: mockupdb redis-v2.10.6: redis==2.10.6 @@ -630,8 +633,8 @@ deps = django-v1.11.29: django==1.11.29 django-v2.2.28: django==2.2.28 django-v3.2.25: django==3.2.25 - django-v4.2.26: django==4.2.26 - django-v5.2.8: django==5.2.8 + django-v4.2.27: django==4.2.27 + django-v5.2.9: django==5.2.9 django-v6.0rc1: django==6.0rc1 django: psycopg2-binary django: djangorestframework @@ -639,13 +642,13 @@ deps = django: Werkzeug django-v2.2.28: channels[daphne] django-v3.2.25: channels[daphne] - django-v4.2.26: channels[daphne] - django-v5.2.8: channels[daphne] + django-v4.2.27: channels[daphne] + django-v5.2.9: channels[daphne] django-v6.0rc1: channels[daphne] django-v2.2.28: six django-v3.2.25: pytest-asyncio - django-v4.2.26: pytest-asyncio - django-v5.2.8: pytest-asyncio + django-v4.2.27: pytest-asyncio + django-v5.2.9: pytest-asyncio django-v6.0rc1: pytest-asyncio django-v1.11.29: djangorestframework>=3.0,<4.0 django-v1.11.29: Werkzeug<2.1.0 @@ -682,7 +685,7 @@ deps = fastapi-v0.79.1: fastapi==0.79.1 fastapi-v0.94.1: fastapi==0.94.1 fastapi-v0.109.2: fastapi==0.109.2 - fastapi-v0.123.0: fastapi==0.123.0 + fastapi-v0.123.5: fastapi==0.123.5 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart @@ -800,10 +803,15 @@ setenv = django: DJANGO_SETTINGS_MODULE=tests.integrations.django.myapp.settings spark-v{3.0.3,3.5.6}: JAVA_HOME=/usr/lib/jvm/temurin-11-jdk-amd64 + # Avoid polluting test suite with imports + common: PYTEST_ADDOPTS="--ignore=tests/test_shadowed_module.py" + gevent: PYTEST_ADDOPTS="--ignore=tests/test_shadowed_module.py" + # TESTPATH definitions for test suites not managed by toxgen common: TESTPATH=tests gevent: TESTPATH=tests integration_deactivation: TESTPATH=tests/test_ai_integration_deactivation.py + shadowed_module: TESTPATH=tests/test_shadowed_module.py asgi: TESTPATH=tests/integrations/asgi aws_lambda: TESTPATH=tests/integrations/aws_lambda cloud_resource_context: TESTPATH=tests/integrations/cloud_resource_context From 8d0b6ccf86a2355f0734fe768646e16d993d03d8 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Wed, 3 Dec 2025 14:36:21 +0100 Subject: [PATCH 49/51] fix(openai-agents): Avoid double span exit on exception (#5174) Retrieve the agent invocation span from context wrapper attached to the return value of `AgentRunner.run()`, or attached to the `AgentsException` in the error case. If an exception is raised in `AgentRunner._run_single_turn()`, terminate the agent invocation span there, since the outer `AgentRunner.run()` only attaches the context wrapper to subclasses of `AgentsException`. Prevents an unhandled exception due to a double span exit caused by `sentry_sdk.get_current_span()` returning the parent of the agent invocation span. Follows on from commit 996f935. --- .../openai_agents/patches/agent_run.py | 34 ++-- .../openai_agents/patches/error_tracing.py | 12 +- .../openai_agents/patches/runner.py | 41 +++-- .../openai_agents/spans/__init__.py | 6 +- .../openai_agents/spans/invoke_agent.py | 12 +- .../integrations/openai_agents/utils.py | 16 ++ .../openai_agents/test_openai_agents.py | 161 ++++++++++++++++++ 7 files changed, 246 insertions(+), 36 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index 57a68f2f5d..43944daa13 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -1,7 +1,14 @@ +import sys from functools import wraps from sentry_sdk.integrations import DidNotEnable -from ..spans import invoke_agent_span, update_invoke_agent_span, handoff_span +from sentry_sdk.utils import reraise +from ..spans import ( + invoke_agent_span, + end_invoke_agent_span, + handoff_span, +) +from ..utils import _record_exception_on_span from typing import TYPE_CHECKING @@ -38,15 +45,6 @@ def _start_invoke_agent_span(context_wrapper, agent, kwargs): return span - def _end_invoke_agent_span(context_wrapper, agent, output=None): - # type: (agents.RunContextWrapper, agents.Agent, Optional[Any]) -> None - """End the agent invocation span""" - # Clear the stored agent - if hasattr(context_wrapper, "_sentry_current_agent"): - delattr(context_wrapper, "_sentry_current_agent") - - update_invoke_agent_span(context_wrapper, agent, output) - def _has_active_agent_span(context_wrapper): # type: (agents.RunContextWrapper) -> bool """Check if there's an active agent span for this context""" @@ -69,19 +67,27 @@ async def patched_run_single_turn(cls, *args, **kwargs): context_wrapper = kwargs.get("context_wrapper") should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks") + span = getattr(context_wrapper, "_sentry_agent_span", None) # Start agent span when agent starts (but only once per agent) if should_run_agent_start_hooks and agent and context_wrapper: # End any existing span for a different agent if _has_active_agent_span(context_wrapper): current_agent = _get_current_agent(context_wrapper) if current_agent and current_agent != agent: - _end_invoke_agent_span(context_wrapper, current_agent) + end_invoke_agent_span(context_wrapper, current_agent) span = _start_invoke_agent_span(context_wrapper, agent, kwargs) agent._sentry_agent_span = span # Call original method with all the correct parameters - result = await original_run_single_turn(*args, **kwargs) + try: + result = await original_run_single_turn(*args, **kwargs) + except Exception as exc: + if span is not None and span.timestamp is None: + _record_exception_on_span(span, exc) + end_invoke_agent_span(context_wrapper, agent) + + reraise(*sys.exc_info()) return result @@ -111,7 +117,7 @@ async def patched_execute_handoffs(cls, *args, **kwargs): finally: # End span for current agent after handoff processing is complete if agent and context_wrapper and _has_active_agent_span(context_wrapper): - _end_invoke_agent_span(context_wrapper, agent) + end_invoke_agent_span(context_wrapper, agent) return result @@ -134,7 +140,7 @@ async def patched_execute_final_output(cls, *args, **kwargs): finally: # End span for current agent after final output processing is complete if agent and context_wrapper and _has_active_agent_span(context_wrapper): - _end_invoke_agent_span(context_wrapper, agent, final_output) + end_invoke_agent_span(context_wrapper, agent, final_output) return result diff --git a/sentry_sdk/integrations/openai_agents/patches/error_tracing.py b/sentry_sdk/integrations/openai_agents/patches/error_tracing.py index 7d145267fc..2695f8a753 100644 --- a/sentry_sdk/integrations/openai_agents/patches/error_tracing.py +++ b/sentry_sdk/integrations/openai_agents/patches/error_tracing.py @@ -3,6 +3,7 @@ import sentry_sdk from sentry_sdk.consts import SPANSTATUS from sentry_sdk.tracing_utils import set_span_errored +from ..utils import _record_exception_on_span from typing import TYPE_CHECKING @@ -58,16 +59,7 @@ def sentry_attach_error_to_current_span(error, *args, **kwargs): # Set the current Sentry span to errored current_span = sentry_sdk.get_current_span() if current_span is not None: - set_span_errored(current_span) - current_span.set_data("span.status", "error") - - # Optionally capture the error details if we have them - if hasattr(error, "__class__"): - current_span.set_data("error.type", error.__class__.__name__) - if hasattr(error, "__str__"): - error_message = str(error) - if error_message: - current_span.set_data("error.message", error_message) + _record_exception_on_span(current_span, error) # Call the original function return original_attach_error(error, *args, **kwargs) diff --git a/sentry_sdk/integrations/openai_agents/patches/runner.py b/sentry_sdk/integrations/openai_agents/patches/runner.py index 05c15da4d1..736a820d35 100644 --- a/sentry_sdk/integrations/openai_agents/patches/runner.py +++ b/sentry_sdk/integrations/openai_agents/patches/runner.py @@ -1,9 +1,15 @@ from functools import wraps import sentry_sdk +from sentry_sdk.integrations import DidNotEnable -from ..spans import agent_workflow_span -from ..utils import _capture_exception +from ..spans import agent_workflow_span, end_invoke_agent_span +from ..utils import _capture_exception, _record_exception_on_span + +try: + from agents.exceptions import AgentsException +except ImportError: + raise DidNotEnable("OpenAI Agents not installed") from typing import TYPE_CHECKING @@ -29,19 +35,34 @@ async def wrapper(*args, **kwargs): # Clone agent because agent invocation spans are attached per run. agent = args[0].clone() with agent_workflow_span(agent): - result = None args = (agent, *args[1:]) try: - result = await original_func(*args, **kwargs) - return result - except Exception as exc: + run_result = await original_func(*args, **kwargs) + except AgentsException as exc: _capture_exception(exc) - # It could be that there is a "invoke agent" span still open - current_span = sentry_sdk.get_current_span() - if current_span is not None and current_span.timestamp is None: - current_span.__exit__(None, None, None) + context_wrapper = getattr(exc.run_data, "context_wrapper", None) + if context_wrapper is not None: + invoke_agent_span = getattr( + context_wrapper, "_sentry_agent_span", None + ) + + if ( + invoke_agent_span is not None + and invoke_agent_span.timestamp is None + ): + _record_exception_on_span(invoke_agent_span, exc) + end_invoke_agent_span(context_wrapper, agent) raise exc from None + except Exception as exc: + # Invoke agent span is not finished in this case. + # This is much less likely to occur than other cases because + # AgentRunner.run() is "just" a while loop around _run_single_turn. + _capture_exception(exc) + raise exc from None + + end_invoke_agent_span(run_result.context_wrapper, agent) + return run_result return wrapper diff --git a/sentry_sdk/integrations/openai_agents/spans/__init__.py b/sentry_sdk/integrations/openai_agents/spans/__init__.py index 3bc453cafa..64b979fc25 100644 --- a/sentry_sdk/integrations/openai_agents/spans/__init__.py +++ b/sentry_sdk/integrations/openai_agents/spans/__init__.py @@ -2,4 +2,8 @@ from .ai_client import ai_client_span, update_ai_client_span # noqa: F401 from .execute_tool import execute_tool_span, update_execute_tool_span # noqa: F401 from .handoff import handoff_span # noqa: F401 -from .invoke_agent import invoke_agent_span, update_invoke_agent_span # noqa: F401 +from .invoke_agent import ( + invoke_agent_span, + update_invoke_agent_span, + end_invoke_agent_span, +) # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py index 5d1731f247..f6311a2150 100644 --- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py +++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py @@ -16,7 +16,7 @@ if TYPE_CHECKING: import agents - from typing import Any + from typing import Any, Optional def invoke_agent_span(context, agent, kwargs): @@ -95,3 +95,13 @@ def update_invoke_agent_span(context, agent, output): span.__exit__(None, None, None) delattr(context, "_sentry_agent_span") + + +def end_invoke_agent_span(context_wrapper, agent, output=None): + # type: (agents.RunContextWrapper, agents.Agent, Optional[Any]) -> None + """End the agent invocation span""" + # Clear the stored agent + if hasattr(context_wrapper, "_sentry_current_agent"): + delattr(context_wrapper, "_sentry_current_agent") + + update_invoke_agent_span(context_wrapper, agent, output) diff --git a/sentry_sdk/integrations/openai_agents/utils.py b/sentry_sdk/integrations/openai_agents/utils.py index 95ff44c1fd..ca7d4d80de 100644 --- a/sentry_sdk/integrations/openai_agents/utils.py +++ b/sentry_sdk/integrations/openai_agents/utils.py @@ -18,6 +18,8 @@ from typing import Any from agents import Usage + from sentry_sdk.tracing import Span + try: import agents @@ -37,6 +39,20 @@ def _capture_exception(exc): sentry_sdk.capture_event(event, hint=hint) +def _record_exception_on_span(span, error): + # type: (Span, Exception) -> Any + set_span_errored(span) + span.set_data("span.status", "error") + + # Optionally capture the error details if we have them + if hasattr(error, "__class__"): + span.set_data("error.type", error.__class__.__name__) + if hasattr(error, "__str__"): + error_message = str(error) + if error_message: + span.set_data("error.message", error_message) + + def _set_agent_data(span, agent): # type: (sentry_sdk.tracing.Span, agents.Agent) -> None span.set_data( diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index 03cedd4447..c5cb25dfee 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -25,6 +25,7 @@ ResponseOutputText, ResponseFunctionToolCall, ) +from agents.exceptions import MaxTurnsExceeded, ModelBehaviorError from agents.version import __version__ as OPENAI_AGENTS_VERSION from openai.types.responses.response_usage import ( @@ -353,6 +354,95 @@ async def test_handoff_span(sentry_init, capture_events, mock_usage): assert handoff_span["data"]["gen_ai.operation.name"] == "handoff" +@pytest.mark.asyncio +async def test_max_turns_before_handoff_span(sentry_init, capture_events, mock_usage): + """ + Example raising agents.exceptions.AgentsException after the agent invocation span is complete. + """ + # Create two simple agents with a handoff relationship + secondary_agent = agents.Agent( + name="secondary_agent", + instructions="You are a secondary agent.", + model="gpt-4o-mini", + ) + + primary_agent = agents.Agent( + name="primary_agent", + instructions="You are a primary agent that hands off to secondary agent.", + model="gpt-4o-mini", + handoffs=[secondary_agent], + ) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + # Mock two responses: + # 1. Primary agent calls handoff tool + # 2. Secondary agent provides final response + handoff_response = ModelResponse( + output=[ + ResponseFunctionToolCall( + id="call_handoff_123", + call_id="call_handoff_123", + name="transfer_to_secondary_agent", + type="function_call", + arguments="{}", + ) + ], + usage=mock_usage, + response_id="resp_handoff_123", + ) + + final_response = ModelResponse( + output=[ + ResponseOutputMessage( + id="msg_final", + type="message", + status="completed", + content=[ + ResponseOutputText( + text="I'm the specialist and I can help with that!", + type="output_text", + annotations=[], + ) + ], + role="assistant", + ) + ], + usage=mock_usage, + response_id="resp_final_123", + ) + + mock_get_response.side_effect = [handoff_response, final_response] + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + ) + + events = capture_events() + + with pytest.raises(MaxTurnsExceeded): + await agents.Runner.run( + primary_agent, + "Please hand off to secondary agent", + run_config=test_run_config, + max_turns=1, + ) + + (error, transaction) = events + spans = transaction["spans"] + handoff_span = spans[2] + + # Verify handoff span was created + assert handoff_span is not None + assert ( + handoff_span["description"] == "handoff from primary_agent to secondary_agent" + ) + assert handoff_span["data"]["gen_ai.operation.name"] == "handoff" + + @pytest.mark.asyncio async def test_tool_execution_span(sentry_init, capture_events, test_agent): """ @@ -605,6 +695,77 @@ def simple_test_tool(message: str) -> str: assert ai_client_span2["data"]["gen_ai.usage.total_tokens"] == 25 +@pytest.mark.asyncio +async def test_model_behavior_error(sentry_init, capture_events, test_agent): + """ + Example raising agents.exceptions.AgentsException before the agent invocation span is complete. + The mocked API response indicates that "wrong_tool" was called. + """ + + @agents.function_tool + def simple_test_tool(message: str) -> str: + """A simple tool""" + return f"Tool executed with: {message}" + + # Create agent with the tool + agent_with_tool = test_agent.clone(tools=[simple_test_tool]) + + with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}): + with patch( + "agents.models.openai_responses.OpenAIResponsesModel.get_response" + ) as mock_get_response: + # Create a mock response that includes tool calls + tool_call = ResponseFunctionToolCall( + id="call_123", + call_id="call_123", + name="wrong_tool", + type="function_call", + arguments='{"message": "hello"}', + ) + + tool_response = ModelResponse( + output=[tool_call], + usage=Usage( + requests=1, input_tokens=10, output_tokens=5, total_tokens=15 + ), + response_id="resp_tool_123", + ) + + mock_get_response.side_effect = [tool_response] + + sentry_init( + integrations=[OpenAIAgentsIntegration()], + traces_sample_rate=1.0, + send_default_pii=True, + ) + + events = capture_events() + + with pytest.raises(ModelBehaviorError): + await agents.Runner.run( + agent_with_tool, + "Please use the simple test tool", + run_config=test_run_config, + ) + + (error, transaction) = events + spans = transaction["spans"] + ( + agent_span, + ai_client_span1, + ) = spans + + assert transaction["transaction"] == "test_agent workflow" + assert transaction["contexts"]["trace"]["origin"] == "auto.ai.openai_agents" + + assert agent_span["description"] == "invoke_agent test_agent" + assert agent_span["origin"] == "auto.ai.openai_agents" + + # Error due to unrecognized tool in model response. + assert agent_span["status"] == "internal_error" + assert agent_span["tags"]["status"] == "internal_error" + + @pytest.mark.asyncio async def test_error_handling(sentry_init, capture_events, test_agent): """ From 9aa07c5747a121d4b46a9c4b980832b48d4dafb5 Mon Sep 17 00:00:00 2001 From: getsentry-bot Date: Wed, 3 Dec 2025 13:41:06 +0000 Subject: [PATCH 50/51] release: 2.47.0 --- CHANGELOG.md | 49 ++++++++++++++++++++++++++++++++++++++++++++ docs/conf.py | 2 +- sentry_sdk/consts.py | 2 +- setup.py | 2 +- 4 files changed, 52 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 80497ccd04..9df6b625d7 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,54 @@ # Changelog +## 2.47.0 + +### Bug Fixes 🐛 + +- fix: Make PropagationContext.from_incoming_data always return a PropagationContext by @sl0thentr0py in [#5186](https://github.com/getsentry/sentry-python/pull/5186) +- fix(integrations): anthropic set `GEN_AI_OPERATION_NAME` by @constantinius in [#5185](https://github.com/getsentry/sentry-python/pull/5185) +- fix(spotlight): align behavior with SDK spec by @BYK in [#5169](https://github.com/getsentry/sentry-python/pull/5169) +- fix(integrations): do not exit early when config is not passed as it is not required and prohibits setting `gen_ai.request.messages` by @constantinius in [#5167](https://github.com/getsentry/sentry-python/pull/5167) +- fix(langchain): add gen_ai.response.model to chat spans by @shellmayr in [#5159](https://github.com/getsentry/sentry-python/pull/5159) +- fix(integrations): add the system prompt to the `gen_ai.request.messages` attribute by @constantinius in [#5161](https://github.com/getsentry/sentry-python/pull/5161) +- fix(ai): Handle Pydantic model classes in \_normalize_data by @skalinchuk in [#5143](https://github.com/getsentry/sentry-python/pull/5143) + +### New Features ✨ + +- feat(integrations): openai-agents: add usage and response model reporting for chat and invoke_agent spans by @constantinius in [#5157](https://github.com/getsentry/sentry-python/pull/5157) +- feat: Implement strict_trace_continuation by @sl0thentr0py in [#5178](https://github.com/getsentry/sentry-python/pull/5178) +- feat(integration): pydantic-ai: properly report token usage and response model for invoke_agent spans by @constantinius in [#5153](https://github.com/getsentry/sentry-python/pull/5153) +- feat(integrations): add support for embed_content methods in GoogleGenAI integration by @constantinius in [#5128](https://github.com/getsentry/sentry-python/pull/5128) +- feat(logs): Record discarded log bytes by @alexander-alderman-webb in [#5144](https://github.com/getsentry/sentry-python/pull/5144) +- feat: Add an initial changelog config by @sentrivana in [#5145](https://github.com/getsentry/sentry-python/pull/5145) +- feat(django): Instrument database rollbacks by @alexander-alderman-webb in [#5115](https://github.com/getsentry/sentry-python/pull/5115) +- feat(django): Instrument database commits by @alexander-alderman-webb in [#5100](https://github.com/getsentry/sentry-python/pull/5100) + +### Build / dependencies / internal 🔧 + +- chore: Add `commit_patterns` to changelog config, remove auto-labeler by @sentrivana in [#5176](https://github.com/getsentry/sentry-python/pull/5176) +- build(deps): bump actions/github-script from 7 to 8 by @dependabot in [#5171](https://github.com/getsentry/sentry-python/pull/5171) +- build(deps): bump supercharge/redis-github-action from 1.8.1 to 2 by @dependabot in [#5172](https://github.com/getsentry/sentry-python/pull/5172) +- ci: 🤖 Update test matrix with new releases (12/01) by @github-actions in [#5173](https://github.com/getsentry/sentry-python/pull/5173) +- ci: Add auto-label GH action by @sentrivana in [#5163](https://github.com/getsentry/sentry-python/pull/5163) +- ci: Split up Test AI workflow by @alexander-alderman-webb in [#5148](https://github.com/getsentry/sentry-python/pull/5148) +- ci: Update test matrix with new releases (11/24) by @alexander-alderman-webb in [#5139](https://github.com/getsentry/sentry-python/pull/5139) + +### Other + +- fix(openai-agents): Avoid double span exit on exception by @alexander-alderman-webb in [#5174](https://github.com/getsentry/sentry-python/pull/5174) +- test: Import integrations with empty shadow modules by @alexander-alderman-webb in [#5150](https://github.com/getsentry/sentry-python/pull/5150) +- feat(openai-agents): Truncate long messages by @alexander-alderman-webb in [#5141](https://github.com/getsentry/sentry-python/pull/5141) +- fix(openai-agents): Store `invoke_agent` span on `agents.RunContextWrapper` by @alexander-alderman-webb in [#5165](https://github.com/getsentry/sentry-python/pull/5165) +- Add org_id support by @sl0thentr0py in [#5166](https://github.com/getsentry/sentry-python/pull/5166) +- Deprecate continue_from_headers by @sl0thentr0py in [#5160](https://github.com/getsentry/sentry-python/pull/5160) +- Add deprecations to changelog categories by @sentrivana in [#5162](https://github.com/getsentry/sentry-python/pull/5162) +- Simplify continue_trace to reuse propagation_context values by @sl0thentr0py in [#5158](https://github.com/getsentry/sentry-python/pull/5158) +- Make PropagationContext hold baggage instead of dynamic_sampling_context by @sl0thentr0py in [#5156](https://github.com/getsentry/sentry-python/pull/5156) +- Cleanup PropagationContext.from_incoming_data by @sl0thentr0py in [#5155](https://github.com/getsentry/sentry-python/pull/5155) +- Add back span status by @sl0thentr0py in [#5147](https://github.com/getsentry/sentry-python/pull/5147) +- Remove unsupported SPANSTATUS.(ERROR|UNSET) by @sl0thentr0py in [#5146](https://github.com/getsentry/sentry-python/pull/5146) +- Rename setup_otlp_exporter to setup_otlp_traces_exporter by @sl0thentr0py in [#5142](https://github.com/getsentry/sentry-python/pull/5142) + ## 2.46.0 ### Various fixes & improvements diff --git a/docs/conf.py b/docs/conf.py index c2f17285c2..a1cb7b667a 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -31,7 +31,7 @@ copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year) author = "Sentry Team and Contributors" -release = "2.46.0" +release = "2.47.0" version = ".".join(release.split(".")[:2]) # The short X.Y version. diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index c168a1fcef..ae6bc10f99 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -1466,4 +1466,4 @@ def _get_default_options(): del _get_default_options -VERSION = "2.46.0" +VERSION = "2.47.0" diff --git a/setup.py b/setup.py index 6711e676f1..a2d942b5d7 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def get_file_text(file_name): setup( name="sentry-sdk", - version="2.46.0", + version="2.47.0", author="Sentry Team and Contributors", author_email="hello@sentry.io", url="https://github.com/getsentry/sentry-python", From a1e3004593102353e52f3f58e775d16430b025c2 Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Wed, 3 Dec 2025 14:48:24 +0100 Subject: [PATCH 51/51] Update CHANGELOG.md --- CHANGELOG.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 9df6b625d7..a974f498d5 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11,6 +11,9 @@ - fix(langchain): add gen_ai.response.model to chat spans by @shellmayr in [#5159](https://github.com/getsentry/sentry-python/pull/5159) - fix(integrations): add the system prompt to the `gen_ai.request.messages` attribute by @constantinius in [#5161](https://github.com/getsentry/sentry-python/pull/5161) - fix(ai): Handle Pydantic model classes in \_normalize_data by @skalinchuk in [#5143](https://github.com/getsentry/sentry-python/pull/5143) +- fix(openai-agents): Avoid double span exit on exception by @alexander-alderman-webb in [#5174](https://github.com/getsentry/sentry-python/pull/5174) +- fix(openai-agents): Store `invoke_agent` span on `agents.RunContextWrapper` by @alexander-alderman-webb in [#5165](https://github.com/getsentry/sentry-python/pull/5165) +- Add back span status by @sl0thentr0py in [#5147](https://github.com/getsentry/sentry-python/pull/5147) ### New Features ✨ @@ -22,9 +25,20 @@ - feat: Add an initial changelog config by @sentrivana in [#5145](https://github.com/getsentry/sentry-python/pull/5145) - feat(django): Instrument database rollbacks by @alexander-alderman-webb in [#5115](https://github.com/getsentry/sentry-python/pull/5115) - feat(django): Instrument database commits by @alexander-alderman-webb in [#5100](https://github.com/getsentry/sentry-python/pull/5100) +- feat(openai-agents): Truncate long messages by @alexander-alderman-webb in [#5141](https://github.com/getsentry/sentry-python/pull/5141) +- Add org_id support by @sl0thentr0py in [#5166](https://github.com/getsentry/sentry-python/pull/5166) + +### Deprecations + +- Deprecate `continue_from_headers` by @sl0thentr0py in [#5160](https://github.com/getsentry/sentry-python/pull/5160) ### Build / dependencies / internal 🔧 +- Remove unsupported SPANSTATUS.(ERROR|UNSET) by @sl0thentr0py in [#5146](https://github.com/getsentry/sentry-python/pull/5146) +- Rename setup_otlp_exporter to setup_otlp_traces_exporter by @sl0thentr0py in [#5142](https://github.com/getsentry/sentry-python/pull/5142) +- Simplify continue_trace to reuse propagation_context values by @sl0thentr0py in [#5158](https://github.com/getsentry/sentry-python/pull/5158) +- Make PropagationContext hold baggage instead of dynamic_sampling_context by @sl0thentr0py in [#5156](https://github.com/getsentry/sentry-python/pull/5156) +- Cleanup PropagationContext.from_incoming_data by @sl0thentr0py in [#5155](https://github.com/getsentry/sentry-python/pull/5155) - chore: Add `commit_patterns` to changelog config, remove auto-labeler by @sentrivana in [#5176](https://github.com/getsentry/sentry-python/pull/5176) - build(deps): bump actions/github-script from 7 to 8 by @dependabot in [#5171](https://github.com/getsentry/sentry-python/pull/5171) - build(deps): bump supercharge/redis-github-action from 1.8.1 to 2 by @dependabot in [#5172](https://github.com/getsentry/sentry-python/pull/5172) @@ -32,22 +46,8 @@ - ci: Add auto-label GH action by @sentrivana in [#5163](https://github.com/getsentry/sentry-python/pull/5163) - ci: Split up Test AI workflow by @alexander-alderman-webb in [#5148](https://github.com/getsentry/sentry-python/pull/5148) - ci: Update test matrix with new releases (11/24) by @alexander-alderman-webb in [#5139](https://github.com/getsentry/sentry-python/pull/5139) - -### Other - -- fix(openai-agents): Avoid double span exit on exception by @alexander-alderman-webb in [#5174](https://github.com/getsentry/sentry-python/pull/5174) - test: Import integrations with empty shadow modules by @alexander-alderman-webb in [#5150](https://github.com/getsentry/sentry-python/pull/5150) -- feat(openai-agents): Truncate long messages by @alexander-alderman-webb in [#5141](https://github.com/getsentry/sentry-python/pull/5141) -- fix(openai-agents): Store `invoke_agent` span on `agents.RunContextWrapper` by @alexander-alderman-webb in [#5165](https://github.com/getsentry/sentry-python/pull/5165) -- Add org_id support by @sl0thentr0py in [#5166](https://github.com/getsentry/sentry-python/pull/5166) -- Deprecate continue_from_headers by @sl0thentr0py in [#5160](https://github.com/getsentry/sentry-python/pull/5160) - Add deprecations to changelog categories by @sentrivana in [#5162](https://github.com/getsentry/sentry-python/pull/5162) -- Simplify continue_trace to reuse propagation_context values by @sl0thentr0py in [#5158](https://github.com/getsentry/sentry-python/pull/5158) -- Make PropagationContext hold baggage instead of dynamic_sampling_context by @sl0thentr0py in [#5156](https://github.com/getsentry/sentry-python/pull/5156) -- Cleanup PropagationContext.from_incoming_data by @sl0thentr0py in [#5155](https://github.com/getsentry/sentry-python/pull/5155) -- Add back span status by @sl0thentr0py in [#5147](https://github.com/getsentry/sentry-python/pull/5147) -- Remove unsupported SPANSTATUS.(ERROR|UNSET) by @sl0thentr0py in [#5146](https://github.com/getsentry/sentry-python/pull/5146) -- Rename setup_otlp_exporter to setup_otlp_traces_exporter by @sl0thentr0py in [#5142](https://github.com/getsentry/sentry-python/pull/5142) ## 2.46.0