From 3373da2da8886d95c3e7fd4bb712377c4420ce4b Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Wed, 4 Feb 2026 16:34:25 +0100 Subject: [PATCH 01/19] feat(span-streaming): Add more span properties (#5421) - add setters(/getters) or properties for `op`, `source`, `name`, `origin`, `status`, feature flags, `span_id` - also, rename `name` -> `_name` since it has a getter/setter now In general regarding this getter/setter business vs. property-based getting and setting: The idiomatic way would be to use properties (e.g. `span.name = "name"`), but since we can't get around having _some_ getters/setters (e.g. `set_attribute`, `set_flag`, etc.), it's probably better to go for consistency and have getters/setters everywhere, even if it's not idiomatic. Otherwise users would have to remember if the specific thing they want to set is a property or has a setter. The above is about stuff people might want to set, so public API. For internal stuff that no one should be setting by hand (e.g. `span_id`), we can still go with properties where it makes sense. Chipping away at https://github.com/getsentry/sentry-python/pull/5317. --- sentry_sdk/_span_batcher.py | 4 +- sentry_sdk/traces.py | 112 ++++++++++++++++++++++++++++++++++-- 2 files changed, 111 insertions(+), 5 deletions(-) diff --git a/sentry_sdk/_span_batcher.py b/sentry_sdk/_span_batcher.py index 38ecc8da51..947eca3806 100644 --- a/sentry_sdk/_span_batcher.py +++ b/sentry_sdk/_span_batcher.py @@ -71,7 +71,9 @@ def add(self, span: "StreamedSpan") -> None: def _to_transport_format(item: "StreamedSpan") -> "Any": # TODO[span-first] res: "dict[str, Any]" = { - "name": item.name, + "span_id": item.span_id, + "name": item._name, + "status": item._status, } if item._attributes: diff --git a/sentry_sdk/traces.py b/sentry_sdk/traces.py index a63a9bebb0..531a06b1fd 100644 --- a/sentry_sdk/traces.py +++ b/sentry_sdk/traces.py @@ -6,15 +6,61 @@ """ import uuid +from enum import Enum from typing import TYPE_CHECKING +from sentry_sdk.consts import SPANDATA from sentry_sdk.utils import format_attribute if TYPE_CHECKING: - from typing import Optional + from typing import Optional, Union from sentry_sdk._types import Attributes, AttributeValue +FLAGS_CAPACITY = 10 + + +class SpanStatus(str, Enum): + OK = "ok" + ERROR = "error" + + def __str__(self) -> str: + return self.value + + +# Segment source, see +# https://getsentry.github.io/sentry-conventions/generated/attributes/sentry.html#sentryspansource +class SegmentSource(str, Enum): + COMPONENT = "component" + CUSTOM = "custom" + ROUTE = "route" + TASK = "task" + URL = "url" + VIEW = "view" + + def __str__(self) -> str: + return self.value + + +# These are typically high cardinality and the server hates them +LOW_QUALITY_SEGMENT_SOURCES = [ + SegmentSource.URL, +] + + +SOURCE_FOR_STYLE = { + "endpoint": SegmentSource.COMPONENT, + "function_name": SegmentSource.COMPONENT, + "handler_name": SegmentSource.COMPONENT, + "method_and_path_pattern": SegmentSource.ROUTE, + "path": SegmentSource.URL, + "route_name": SegmentSource.COMPONENT, + "route_pattern": SegmentSource.ROUTE, + "uri_template": SegmentSource.ROUTE, + "url": SegmentSource.ROUTE, +} + + class StreamedSpan: """ A span holds timing information of a block of code. @@ -26,9 +72,12 @@ class StreamedSpan: """ __slots__ = ( - "name", + "_name", "_attributes", + "_span_id", "_trace_id", + "_status", + "_flags", ) def __init__( @@ -38,13 +87,19 @@ def __init__( attributes: "Optional[Attributes]" = None, trace_id: "Optional[str]" = None, ): - self.name: str = name + self._name: str = name self._attributes: "Attributes" = {} if attributes: for attribute, value in attributes.items(): self.set_attribute(attribute, value) - self._trace_id = trace_id + self._span_id: "Optional[str]" = None + self._trace_id: "Optional[str]" = trace_id + + self.set_status(SpanStatus.OK) + self.set_source(SegmentSource.CUSTOM) + + self._flags: dict[str, bool] = {} def get_attributes(self) -> "Attributes": return self._attributes @@ -62,6 +117,55 @@ def remove_attribute(self, key: str) -> None: except KeyError: pass + def get_status(self) -> "Union[SpanStatus, str]": + if self._status in {s.value for s in SpanStatus}: + return SpanStatus(self._status) + + return self._status + + def set_status(self, status: "Union[SpanStatus, str]") -> None: + if isinstance(status, Enum): + status = status.value + + self._status = status + + def set_http_status(self, http_status: int) -> None: + self.set_attribute(SPANDATA.HTTP_STATUS_CODE, http_status) + + if http_status >= 400: + self.set_status(SpanStatus.ERROR) + else: + self.set_status(SpanStatus.OK) + + def get_name(self) -> str: + return self._name + + def set_name(self, name: str) -> None: + self._name = name + + def set_flag(self, flag: str, result: bool) -> None: + if len(self._flags) < FLAGS_CAPACITY: + self._flags[flag] = result + + def set_op(self, op: str) -> None: + self.set_attribute("sentry.op", op) + + def set_origin(self, origin: str) -> None: + self.set_attribute("sentry.origin", origin) + + def set_source(self, source: "Union[str, SegmentSource]") -> None: + if isinstance(source, Enum): + source = source.value + + self.set_attribute("sentry.span.source", source) + + @property + def span_id(self) -> str: + if not self._span_id: + self._span_id = uuid.uuid4().hex[16:] + + return self._span_id + @property def trace_id(self) -> str: if not self._trace_id: From 1ab6e3d6354a42d77c9b4a561603299d4d1aae00 Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Fri, 6 Feb 2026 10:16:02 +0100 Subject: [PATCH 02/19] fix(celery): Close the connection we're reading driver_type from (#5427) Currently, we're reading the driver type (e.g. `redis`) from a connection. We're however not closing the connection, potentially causing file descriptor leaks. **Aside:** Opening a connection just for the purpose of determining the driver type is not ideal in the first place. We should see whether we can get the info from elsewhere from the context of a task's `run`/`__call__` (which is where we're enriching the span with it). Or we could see whether we can cache this somehow. For now, let's at least make sure to clean up the connection. #### Issues Closes https://github.com/getsentry/sentry-python/issues/5422 #### 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/celery/__init__.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/sentry_sdk/integrations/celery/__init__.py b/sentry_sdk/integrations/celery/__init__.py index 2baf250ae3..1b1eb4f380 100644 --- a/sentry_sdk/integrations/celery/__init__.py +++ b/sentry_sdk/integrations/celery/__init__.py @@ -392,10 +392,11 @@ def _inner(*args: "Any", **kwargs: "Any") -> "Any": ) with capture_internal_exceptions(): - span.set_data( - SPANDATA.MESSAGING_SYSTEM, - task.app.connection().transport.driver_type, - ) + with task.app.connection() as conn: + span.set_data( + SPANDATA.MESSAGING_SYSTEM, + conn.transport.driver_type, + ) return f(*args, **kwargs) except Exception: From 1476ff06541f547fa2db8dd68640bf73ee336785 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Mon, 9 Feb 2026 11:34:28 +0100 Subject: [PATCH 03/19] ci: Pin setuptools for linting and chalice tests (#5438) --- requirements-linting.txt | 1 + scripts/populate_tox/config.py | 2 +- .../populate_tox/package_dependencies.jsonl | 29 ++-- scripts/populate_tox/releases.jsonl | 74 ++++----- tox.ini | 150 +++++++++--------- 5 files changed, 128 insertions(+), 128 deletions(-) diff --git a/requirements-linting.txt b/requirements-linting.txt index 56c26df8de..84f846021a 100644 --- 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{"packagetype": "bdist_wheel", "filename": "tornado-6.5.4-cp39-abi3-musllinux_1_2_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.4-cp39-abi3-win32.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.4-cp39-abi3-win_amd64.whl"}, {"packagetype": "bdist_wheel", "filename": "tornado-6.5.4-cp39-abi3-win_arm64.whl"}, {"packagetype": "sdist", "filename": "tornado-6.5.4.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 5530002884..f8e8739d47 100644 --- a/tox.ini +++ b/tox.ini @@ -64,8 +64,8 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.1.0 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 - {py3.10,py3.12,py3.13}-fastmcp-v2.14.4 - {py3.10,py3.12,py3.13}-fastmcp-v3.0.0b1 + {py3.10,py3.12,py3.13}-fastmcp-v2.14.5 + {py3.10,py3.12,py3.13}-fastmcp-v3.0.0b2 # ~~~ Agents ~~~ @@ -75,63 +75,63 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.7.0 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.17.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.34.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.51.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.18.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.36.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.56.0 # ~~~ AI Workflow ~~~ {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.2.7 + {py3.10,py3.13,py3.14}-langchain-base-v1.2.9 {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.7 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.9 {py3.9,py3.13,py3.14}-langgraph-v0.6.11 - {py3.10,py3.12,py3.13}-langgraph-v1.0.7 + {py3.10,py3.12,py3.13}-langgraph-v1.0.8 # ~~~ AI ~~~ {py3.8,py3.11,py3.12}-anthropic-v0.16.0 - {py3.8,py3.11,py3.12}-anthropic-v0.36.2 - {py3.8,py3.11,py3.12}-anthropic-v0.56.0 - {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.77.0 + {py3.8,py3.11,py3.12}-anthropic-v0.37.1 + {py3.8,py3.12,py3.13}-anthropic-v0.58.2 + {py3.9,py3.13,py3.14,py3.14t}-anthropic-v0.79.0 {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 {py3.9,py3.11,py3.12}-cohere-v5.15.0 - {py3.9,py3.11,py3.12}-cohere-v5.20.2 + {py3.9,py3.11,py3.12}-cohere-v5.20.4 {py3.9,py3.12,py3.13}-google_genai-v1.29.0 {py3.9,py3.12,py3.13}-google_genai-v1.40.0 {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.61.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.62.0 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 - {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.1 - {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.3.7 + {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.2 + {py3.9,py3.13,py3.14,py3.14t}-huggingface_hub-v1.4.1 {py3.9,py3.12,py3.13}-litellm-v1.77.7 {py3.9,py3.12,py3.13}-litellm-v1.78.7 {py3.9,py3.12,py3.13}-litellm-v1.79.3 - {py3.9,py3.12,py3.13}-litellm-v1.81.6 + {py3.9,py3.12,py3.13}-litellm-v1.81.9 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.16.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.17.0 {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1 {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.16.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.17.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.39 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.44 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -173,7 +173,7 @@ envlist = {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.4 {py3.7,py3.13,py3.14}-statsig-v0.55.3 - {py3.7,py3.13,py3.14}-statsig-v0.67.0 + {py3.7,py3.13,py3.14}-statsig-v0.68.0 {py3.8,py3.12,py3.13}-unleash-v6.0.1 {py3.8,py3.12,py3.13}-unleash-v6.5.1 @@ -181,8 +181,8 @@ envlist = # ~~~ GraphQL ~~~ {py3.8,py3.10,py3.11}-ariadne-v0.20.1 - {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.27.1 - {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.28.0rc2 + {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.28.0 + {py3.10,py3.13,py3.14,py3.14t}-ariadne-v0.28.1rc1 {py3.6,py3.9,py3.10}-gql-v3.4.1 {py3.9,py3.12,py3.13}-gql-v4.0.0 @@ -192,15 +192,14 @@ envlist = {py3.8,py3.12,py3.13}-graphene-v3.4.3 {py3.8,py3.10,py3.11}-strawberry-v0.209.8 - {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.291.0 + {py3.10,py3.13,py3.14,py3.14t}-strawberry-v0.291.3 # ~~~ Network ~~~ {py3.7,py3.8}-grpc-v1.32.0 {py3.7,py3.9,py3.10}-grpc-v1.47.5 {py3.7,py3.11,py3.12}-grpc-v1.62.3 - {py3.9,py3.13,py3.14}-grpc-v1.76.0 - {py3.9,py3.13,py3.14}-grpc-v1.78.0rc2 + {py3.9,py3.13,py3.14}-grpc-v1.78.0 {py3.6,py3.8,py3.9}-httpx-v0.16.1 {py3.6,py3.9,py3.10}-httpx-v0.20.0 @@ -244,9 +243,9 @@ envlist = {py3.6,py3.7}-django-v1.11.29 {py3.6,py3.8,py3.9}-django-v2.2.28 {py3.6,py3.9,py3.10}-django-v3.2.25 - {py3.8,py3.11,py3.12}-django-v4.2.27 - {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.10 - {py3.12,py3.13,py3.14,py3.14t}-django-v6.0.1 + {py3.8,py3.11,py3.12}-django-v4.2.28 + {py3.10,py3.13,py3.14,py3.14t}-django-v5.2.11 + {py3.12,py3.13,py3.14,py3.14t}-django-v6.0.2 {py3.6,py3.7,py3.8}-flask-v1.1.4 {py3.8,py3.13,py3.14,py3.14t}-flask-v2.3.3 @@ -260,7 +259,7 @@ envlist = {py3.6,py3.9,py3.10}-fastapi-v0.79.1 {py3.7,py3.10,py3.11}-fastapi-v0.95.2 {py3.8,py3.11,py3.12}-fastapi-v0.111.1 - {py3.9,py3.13,py3.14,py3.14t}-fastapi-v0.128.0 + {py3.9,py3.13,py3.14,py3.14t}-fastapi-v0.128.5 # ~~~ Web 2 ~~~ @@ -278,9 +277,9 @@ envlist = {py3.9,py3.11,py3.12}-falcon-v4.2.0 {py3.8,py3.10,py3.11}-litestar-v2.0.1 - {py3.8,py3.11,py3.12}-litestar-v2.6.4 - {py3.8,py3.11,py3.12}-litestar-v2.12.1 - {py3.8,py3.12,py3.13}-litestar-v2.19.0 + {py3.8,py3.11,py3.12}-litestar-v2.7.2 + {py3.8,py3.12,py3.13}-litestar-v2.14.0 + {py3.8,py3.12,py3.13}-litestar-v2.20.0 {py3.6}-pyramid-v1.8.6 {py3.6,py3.8,py3.9}-pyramid-v1.10.8 @@ -392,8 +391,8 @@ deps = fastmcp-v0.1.0: fastmcp==0.1.0 fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 - fastmcp-v2.14.4: fastmcp==2.14.4 - fastmcp-v3.0.0b1: fastmcp==3.0.0b1 + fastmcp-v2.14.5: fastmcp==2.14.5 + fastmcp-v3.0.0b2: fastmcp==3.0.0b2 fastmcp: pytest-asyncio @@ -405,79 +404,79 @@ deps = openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.17.0: pydantic-ai==1.17.0 - pydantic_ai-v1.34.0: pydantic-ai==1.34.0 - pydantic_ai-v1.51.0: pydantic-ai==1.51.0 + pydantic_ai-v1.18.0: pydantic-ai==1.18.0 + pydantic_ai-v1.36.0: pydantic-ai==1.36.0 + pydantic_ai-v1.56.0: pydantic-ai==1.56.0 pydantic_ai: pytest-asyncio # ~~~ AI Workflow ~~~ langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.2.7: langchain==1.2.7 + langchain-base-v1.2.9: langchain==1.2.9 langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.2.7: langchain-community - langchain-base-v1.2.7: langchain-classic + langchain-base-v1.2.9: langchain-community + langchain-base-v1.2.9: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.2.7: langchain==1.2.7 + langchain-notiktoken-v1.2.9: langchain==1.2.9 langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.2.7: langchain-community - langchain-notiktoken-v1.2.7: langchain-classic + langchain-notiktoken-v1.2.9: langchain-community + langchain-notiktoken-v1.2.9: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 - langgraph-v1.0.7: langgraph==1.0.7 + langgraph-v1.0.8: langgraph==1.0.8 # ~~~ AI ~~~ anthropic-v0.16.0: anthropic==0.16.0 - anthropic-v0.36.2: anthropic==0.36.2 - anthropic-v0.56.0: anthropic==0.56.0 - anthropic-v0.77.0: anthropic==0.77.0 + anthropic-v0.37.1: anthropic==0.37.1 + anthropic-v0.58.2: anthropic==0.58.2 + anthropic-v0.79.0: anthropic==0.79.0 anthropic: pytest-asyncio anthropic-v0.16.0: httpx<0.28.0 - anthropic-v0.36.2: httpx<0.28.0 + anthropic-v0.37.1: httpx<0.28.0 cohere-v5.4.0: cohere==5.4.0 cohere-v5.10.0: cohere==5.10.0 cohere-v5.15.0: cohere==5.15.0 - cohere-v5.20.2: cohere==5.20.2 + cohere-v5.20.4: cohere==5.20.4 google_genai-v1.29.0: google-genai==1.29.0 google_genai-v1.40.0: google-genai==1.40.0 google_genai-v1.51.0: google-genai==1.51.0 - google_genai-v1.61.0: google-genai==1.61.0 + google_genai-v1.62.0: google-genai==1.62.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 - huggingface_hub-v0.36.1: huggingface_hub==0.36.1 - huggingface_hub-v1.3.7: huggingface_hub==1.3.7 + huggingface_hub-v0.36.2: huggingface_hub==0.36.2 + huggingface_hub-v1.4.1: huggingface_hub==1.4.1 huggingface_hub: responses huggingface_hub: pytest-httpx litellm-v1.77.7: litellm==1.77.7 litellm-v1.78.7: litellm==1.78.7 litellm-v1.79.3: litellm==1.79.3 - litellm-v1.81.6: litellm==1.81.6 + litellm-v1.81.9: litellm==1.81.9 openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 - openai-base-v2.16.0: openai==2.16.0 + openai-base-v2.17.0: openai==2.17.0 openai-base: pytest-asyncio openai-base: tiktoken openai-base-v1.0.1: httpx<0.28 openai-notiktoken-v1.0.1: openai==1.0.1 openai-notiktoken-v1.109.1: openai==1.109.1 - openai-notiktoken-v2.16.0: openai==2.16.0 + openai-notiktoken-v2.17.0: openai==2.17.0 openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 @@ -486,12 +485,13 @@ deps = boto3-v1.12.49: boto3==1.12.49 boto3-v1.21.46: boto3==1.21.46 boto3-v1.33.13: boto3==1.33.13 - boto3-v1.42.39: boto3==1.42.39 + boto3-v1.42.44: boto3==1.42.44 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 chalice-v1.32.0: chalice==1.32.0 chalice: pytest-chalice + chalice: setuptools<82 # ~~~ DBs ~~~ @@ -537,7 +537,7 @@ deps = openfeature-v0.8.4: openfeature-sdk==0.8.4 statsig-v0.55.3: statsig==0.55.3 - statsig-v0.67.0: statsig==0.67.0 + statsig-v0.68.0: statsig==0.68.0 statsig: typing_extensions unleash-v6.0.1: UnleashClient==6.0.1 @@ -546,8 +546,8 @@ deps = # ~~~ GraphQL ~~~ ariadne-v0.20.1: ariadne==0.20.1 - ariadne-v0.27.1: ariadne==0.27.1 - ariadne-v0.28.0rc2: ariadne==0.28.0rc2 + ariadne-v0.28.0: ariadne==0.28.0 + ariadne-v0.28.1rc1: ariadne==0.28.1rc1 ariadne: fastapi ariadne: flask ariadne: httpx @@ -565,7 +565,7 @@ deps = {py3.6}-graphene: aiocontextvars strawberry-v0.209.8: strawberry-graphql[fastapi,flask]==0.209.8 - strawberry-v0.291.0: strawberry-graphql[fastapi,flask]==0.291.0 + strawberry-v0.291.3: strawberry-graphql[fastapi,flask]==0.291.3 strawberry: httpx strawberry-v0.209.8: pydantic<2.11 @@ -574,8 +574,7 @@ deps = grpc-v1.32.0: grpcio==1.32.0 grpc-v1.47.5: grpcio==1.47.5 grpc-v1.62.3: grpcio==1.62.3 - grpc-v1.76.0: grpcio==1.76.0 - grpc-v1.78.0rc2: grpcio==1.78.0rc2 + grpc-v1.78.0: grpcio==1.78.0 grpc: protobuf grpc: mypy-protobuf grpc: types-protobuf @@ -641,23 +640,23 @@ deps = django-v1.11.29: django==1.11.29 django-v2.2.28: django==2.2.28 django-v3.2.25: django==3.2.25 - django-v4.2.27: django==4.2.27 - django-v5.2.10: django==5.2.10 - django-v6.0.1: django==6.0.1 + django-v4.2.28: django==4.2.28 + django-v5.2.11: django==5.2.11 + django-v6.0.2: django==6.0.2 django: psycopg2-binary django: djangorestframework django: pytest-django django: Werkzeug django-v2.2.28: channels[daphne] django-v3.2.25: channels[daphne] - django-v4.2.27: channels[daphne] - django-v5.2.10: channels[daphne] - django-v6.0.1: channels[daphne] + django-v4.2.28: channels[daphne] + django-v5.2.11: channels[daphne] + django-v6.0.2: channels[daphne] django-v2.2.28: six django-v3.2.25: pytest-asyncio - django-v4.2.27: pytest-asyncio - django-v5.2.10: pytest-asyncio - django-v6.0.1: pytest-asyncio + django-v4.2.28: pytest-asyncio + django-v5.2.11: pytest-asyncio + django-v6.0.2: pytest-asyncio django-v1.11.29: djangorestframework>=3.0,<4.0 django-v1.11.29: Werkzeug<2.1.0 django-v2.2.28: djangorestframework>=3.0,<4.0 @@ -693,7 +692,7 @@ deps = fastapi-v0.79.1: fastapi==0.79.1 fastapi-v0.95.2: fastapi==0.95.2 fastapi-v0.111.1: fastapi==0.111.1 - fastapi-v0.128.0: fastapi==0.128.0 + fastapi-v0.128.5: fastapi==0.128.5 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart @@ -723,16 +722,15 @@ deps = falcon-v4.2.0: falcon==4.2.0 litestar-v2.0.1: litestar==2.0.1 - litestar-v2.6.4: litestar==2.6.4 - litestar-v2.12.1: litestar==2.12.1 - litestar-v2.19.0: litestar==2.19.0 + litestar-v2.7.2: litestar==2.7.2 + litestar-v2.14.0: litestar==2.14.0 + litestar-v2.20.0: litestar==2.20.0 litestar: pytest-asyncio litestar: python-multipart litestar: requests litestar: cryptography litestar: sniffio litestar-v2.0.1: httpx<0.28 - litestar-v2.6.4: httpx<0.28 pyramid-v1.8.6: pyramid==1.8.6 pyramid-v1.10.8: pyramid==1.10.8 From 18081e702e09b7fcde2b2b3626bb29db2e7452e9 Mon Sep 17 00:00:00 2001 From: Lukas Stracke Date: Tue, 10 Feb 2026 13:19:12 +0100 Subject: [PATCH 04/19] test: Add test for `get_baggage` with DSN (#5441) For now just testing what CI says about this test --- tests/test_api.py | 16 ++++++++++++++++ 1 file changed, 16 insertions(+) diff --git a/tests/test_api.py b/tests/test_api.py index acc33cdf4c..bd6b245841 100644 --- a/tests/test_api.py +++ b/tests/test_api.py @@ -22,6 +22,7 @@ ) from sentry_sdk.client import Client, NonRecordingClient +from tests.conftest import TestTransportWithOptions def test_get_current_span(): @@ -96,6 +97,21 @@ def test_baggage_with_tracing_enabled(sentry_init): assert re.match(expected_baggage_re, get_baggage()) +def test_baggage_with_dsn(sentry_init): + sentry_init( + dsn="http://97333d956c9e40989a0139756c121c34@sentry-x.sentry-y.s.c.local/976543210", + traces_sample_rate=1.0, + release="2.0.0", + environment="dev", + transport=TestTransportWithOptions, + ) + with start_transaction() as transaction: + expected_baggage_re = r"^sentry-trace_id={},sentry-sample_rand=0\.\d{{6}},sentry-environment=dev,sentry-release=2\.0\.0,sentry-public_key=97333d956c9e40989a0139756c121c34,sentry-sample_rate=1\.0,sentry-sampled={}$".format( + transaction.trace_id, "true" if transaction.sampled else "false" + ) + assert re.match(expected_baggage_re, get_baggage()) + + def test_continue_trace(sentry_init): sentry_init() From 8f80fa73809cff95a65b2950461e625481f654e6 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Tue, 10 Feb 2026 14:07:08 +0100 Subject: [PATCH 05/19] ref: Remove references to unsupported attribute types (#5425) --- sentry_sdk/utils.py | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) diff --git a/sentry_sdk/utils.py b/sentry_sdk/utils.py index 79ef5a2cef..29827db44e 100644 --- a/sentry_sdk/utils.py +++ b/sentry_sdk/utils.py @@ -2062,23 +2062,15 @@ def format_attribute(val: "Any") -> "AttributeValue": if isinstance(val, (bool, int, float, str)): return val - # Only lists of elements of a single type are supported - list_types: 'dict[type, Literal["string[]", "integer[]", "double[]", "boolean[]"]]' = { - str: "string[]", - int: "integer[]", - float: "double[]", - bool: "boolean[]", - } - if isinstance(val, (list, tuple)) and not val: return [] elif isinstance(val, list): ty = type(val[0]) - if ty in list_types and all(type(v) is ty for v in val): + if ty in (str, int, float, bool) and all(type(v) is ty for v in val): return copy.deepcopy(val) elif isinstance(val, tuple): ty = type(val[0]) - if ty in list_types and all(type(v) is ty for v in val): + if ty in (str, int, float, bool) and all(type(v) is ty for v in val): return list(val) return safe_repr(val) From 1eeb5dfefa8a91da28a4fd198ecc7dc6caa19f4f Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Wed, 11 Feb 2026 10:55:04 +0100 Subject: [PATCH 06/19] test(openai-agents): Avoid calling SDK-internal functions (#5437) --- .../openai_agents/test_openai_agents.py | 200 ++++++++++-------- 1 file changed, 108 insertions(+), 92 deletions(-) diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py index 292a3459a5..e94a09153d 100644 --- a/tests/integrations/openai_agents/test_openai_agents.py +++ b/tests/integrations/openai_agents/test_openai_agents.py @@ -143,6 +143,83 @@ async def EXAMPLE_STREAMED_RESPONSE(*args, **kwargs): ) +async def EXAMPLE_STREAMED_RESPONSE_WITH_DELTA(*args, **kwargs): + yield ResponseCreatedEvent( + response=Response( + id="chat-id", + output=[], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + ), + type="response.created", + sequence_number=0, + ) + + yield ResponseTextDeltaEvent( + type="response.output_text.delta", + item_id="message-id", + output_index=0, + content_index=0, + delta="Hello", + logprobs=[], + sequence_number=1, + ) + + yield ResponseTextDeltaEvent( + type="response.output_text.delta", + item_id="message-id", + output_index=0, + content_index=0, + delta=" world!", + logprobs=[], + sequence_number=2, + ) + + yield ResponseCompletedEvent( + response=Response( + id="chat-id", + output=[ + ResponseOutputMessage( + id="message-id", + content=[ + ResponseOutputText( + annotations=[], + text="Hello world!", + type="output_text", + ), + ], + role="assistant", + status="completed", + type="message", + ), + ], + parallel_tool_calls=False, + tool_choice="none", + tools=[], + created_at=10000000, + model="response-model-id", + object="response", + usage=ResponseUsage( + input_tokens=20, + input_tokens_details=InputTokensDetails( + cached_tokens=5, + ), + output_tokens=10, + output_tokens_details=OutputTokensDetails( + reasoning_tokens=8, + ), + total_tokens=30, + ), + ), + type="response.completed", + sequence_number=3, + ) + + @pytest.fixture def mock_usage(): return Usage( @@ -2692,27 +2769,6 @@ def test_openai_agents_message_truncation(sentry_init, capture_events): assert "small message 5" in str(parsed_messages[0]) -def test_streaming_patches_applied(sentry_init): - """ - Test that the streaming patches are applied correctly. - """ - sentry_init( - integrations=[OpenAIAgentsIntegration()], - traces_sample_rate=1.0, - ) - - # Verify that run_streamed is patched (will have __wrapped__ attribute if patched) - import agents - - # Check that the method exists and has been modified - assert hasattr(agents.run.DEFAULT_AGENT_RUNNER, "run_streamed") - assert hasattr(agents.run.AgentRunner, "_run_single_turn_streamed") - - # Verify the patches were applied by checking for our wrapper - run_streamed_func = agents.run.DEFAULT_AGENT_RUNNER.run_streamed - assert run_streamed_func is not None - - @pytest.mark.asyncio async def test_streaming_span_update_captures_response_data( sentry_init, test_agent, mock_usage @@ -2777,8 +2833,13 @@ async def test_streaming_ttft_on_chat_span(sentry_init, test_agent): Events WITHOUT delta (like ResponseCompletedEvent, ResponseCreatedEvent, etc.) should NOT trigger TTFT. """ - from sentry_sdk.integrations.openai_agents.patches.models import ( - _create_get_model_wrapper, + client = AsyncOpenAI(api_key="z") + client.responses._post = AsyncMock(return_value=EXAMPLE_RESPONSE) + + model = OpenAIResponsesModel(model="gpt-4", openai_client=client) + + agent_with_tool = test_agent.clone( + model=model, ) sentry_init( @@ -2786,77 +2847,32 @@ async def test_streaming_ttft_on_chat_span(sentry_init, test_agent): traces_sample_rate=1.0, ) - # Create a mock model with stream_response and get_response - class MockModel: - model = "gpt-4" - - async def get_response(self, *args, **kwargs): - # Not used in this test, but required by the wrapper - pass - - async def stream_response(self, *args, **kwargs): - # First event: ResponseCreatedEvent (no delta - should NOT trigger TTFT) - created_event = MagicMock(spec=["type", "sequence_number"]) - created_event.type = "response.created" - yield created_event - - # Simulate server-side processing delay before first token - await asyncio.sleep(0.05) # 50ms delay - - # Second event: ResponseTextDeltaEvent (HAS delta - triggers TTFT) - text_delta_event = MagicMock(spec=["delta", "type", "content_index"]) - text_delta_event.delta = "Hello" - text_delta_event.type = "response.output_text.delta" - yield text_delta_event - - # Third event: more text content (also has delta, but TTFT already recorded) - text_delta_event2 = MagicMock(spec=["delta", "type", "content_index"]) - text_delta_event2.delta = " world!" - text_delta_event2.type = "response.output_text.delta" - yield text_delta_event2 - - # Final event: ResponseCompletedEvent (has response, no delta) - completed_event = MagicMock(spec=["response", "type", "sequence_number"]) - completed_event.response = MagicMock() - completed_event.response.model = "gpt-4" - completed_event.response.usage = Usage( - requests=1, - input_tokens=10, - output_tokens=5, - total_tokens=15, - ) - completed_event.response.output = [] - yield completed_event - - # Create a mock original _get_model that returns our mock model - def mock_get_model(agent, run_config): - return MockModel() - - # Wrap it with our integration wrapper - wrapped_get_model = _create_get_model_wrapper(mock_get_model) - - with sentry_sdk.start_transaction(name="test_ttft", sampled=True) as transaction: - # Get the wrapped model (this applies the stream_response wrapper) - wrapped_model = wrapped_get_model(None, test_agent, MagicMock()) - - # Call the wrapped stream_response and consume all events - async for _event in wrapped_model.stream_response(): - pass - - # Verify TTFT is recorded on the chat span (must be inside transaction context) - chat_spans = [ - s for s in transaction._span_recorder.spans if s.op == "gen_ai.chat" - ] - assert len(chat_spans) >= 1 - chat_span = chat_spans[0] + with patch.object( + model._client.responses, + "create", + side_effect=EXAMPLE_STREAMED_RESPONSE_WITH_DELTA, + ) as _: + with sentry_sdk.start_transaction( + name="test_ttft", sampled=True + ) as transaction: + result = agents.Runner.run_streamed( + agent_with_tool, + "Please use the simple test tool", + run_config=test_run_config, + ) - assert SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN in chat_span._data - ttft_value = chat_span._data[SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN] - # TTFT should be at least 40ms (our simulated delay minus some variance) but reasonable - assert 0.04 < ttft_value < 1.0, f"TTFT {ttft_value} should be around 50ms" + async for event in result.stream_events(): + pass + + # Verify TTFT is recorded on the chat span (must be inside transaction context) + chat_spans = [ + s for s in transaction._span_recorder.spans if s.op == "gen_ai.chat" + ] + assert len(chat_spans) >= 1 + chat_span = chat_spans[0] - # Verify streaming flag is set - assert chat_span._data.get(SPANDATA.GEN_AI_RESPONSE_STREAMING) is True + assert SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN in chat_span._data + assert chat_span._data.get(SPANDATA.GEN_AI_RESPONSE_STREAMING) is True @pytest.mark.skipif( From 77035ccf3ae14f1dae86dfb1dd3ba4b35b1e0078 Mon Sep 17 00:00:00 2001 From: Burak Yigit Kaya Date: Thu, 12 Feb 2026 07:38:37 +0000 Subject: [PATCH 07/19] chore(ci): Improve Craft config with title stripping and artifact filtering (#5444) ## Summary - Add named regex capture groups to `commit_patterns` in `.github/release.yml` for Craft's [title stripping](https://craft.sentry.dev/configuration/#title-stripping-default-behavior) feature - Remove the CI `merge` job by switching to Craft 2.21.1's [workflow-scoped artifact filtering](https://craft.sentry.dev/configuration/#github-artifact-provider-configuration) (same approach as https://github.com/getsentry/cli/pull/215) - Modernize `.craft.yml` changelog config to object format - Modernize `scripts/bump-version.sh` to use Craft env vars ## Changes ### `.github/release.yml` - All `commit_patterns` now use `(?...)` and `(?...)` named capture groups so Craft strips conventional commit prefixes from changelog entries - Added **Breaking Changes** category (`semver: major`) from Craft defaults - Expanded Internal Changes patterns to include `refactor|meta|perf` from Craft defaults ### `.craft.yml` - Bumped `minVersion` from `2.17.0` to `2.21.1` - Added `artifactProvider` config to fetch `artifact-*` directly from `ci.yml` workflow - Modernized changelog from separate keys to object format - Added explicit `preReleaseCommand` (was relying on the implicit default) ### `.github/workflows/ci.yml` - Removed the `merge` job (no longer needed with Craft 2.21.1 artifact filtering) - Removed `compression-level: '0'` from upload steps (was only needed for merging) ### `scripts/bump-version.sh` - Use `CRAFT_OLD_VERSION` / `CRAFT_NEW_VERSION` env vars instead of positional arguments (recommended by Craft docs) --- .craft.yml | 14 +++++++++++--- .github/release.yml | 14 +++++++++----- .github/workflows/ci.yml | 16 ---------------- scripts/bump-version.sh | 13 +++++-------- 4 files changed, 25 insertions(+), 32 deletions(-) diff --git a/.craft.yml b/.craft.yml index ea98f2d402..7c5debbc33 100644 --- a/.craft.yml +++ b/.craft.yml @@ -1,4 +1,5 @@ -minVersion: 2.17.0 +minVersion: 2.21.1 +preReleaseCommand: bash scripts/bump-version.sh targets: - name: pypi includeNames: /^sentry[_\-]sdk.*$/ @@ -30,5 +31,12 @@ targets: license: MIT - name: sentry-pypi internalPypiRepo: getsentry/pypi -changelog: CHANGELOG.md -changelogPolicy: auto +artifactProvider: + name: github + config: + artifacts: + CI: + - 'artifact-*' +changelog: + filePath: CHANGELOG.md + policy: auto diff --git a/.github/release.yml b/.github/release.yml index 4383f70e7d..42c8c0179e 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -5,33 +5,37 @@ changelog: authors: - dependabot categories: + - title: Breaking Changes 🛠 + commit_patterns: + - "^(?\\w+(?:\\((?[^)]+)\\))?!:\\s*)" + semver: major - title: New Features ✨ labels: - "Changelog: Feature" commit_patterns: - - "^feat\\b" + - "^(?feat(?:\\((?[^)]+)\\))?!?:\\s*)" semver: minor - title: Bug Fixes 🐛 labels: - "Changelog: Bugfix" commit_patterns: - - "^(fix|bugfix)\\b" + - "^(?(?:fix|bugfix)(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch - title: Deprecations 🏗️ labels: - "Changelog: Deprecation" commit_patterns: - - "deprecat" # deprecation, deprecated + - "^(?deprecat(?:ion|ed|e)(?:\\((?[^)]+)\\))?!?:?\\s*)" semver: patch - title: Documentation 📚 labels: - "Changelog: Docs" commit_patterns: - - "^docs?\\b" + - "^(?docs?(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch - title: Internal Changes 🔧 labels: - "Changelog: Internal" commit_patterns: - - "^(build|ref|chore|ci|tests?)\\b" + - "^(?(?:build|refactor|meta|chore|ci|ref|perf|tests?)(?:\\((?[^)]+)\\))?!?:\\s*)" semver: patch diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c3fc1ae316..90b3b1c3a7 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -61,8 +61,6 @@ jobs: path: | dist/* if-no-files-found: 'error' - # since this artifact will be merged, compression is not necessary - compression-level: '0' docs: name: Build SDK API Doc @@ -85,17 +83,3 @@ jobs: path: | docs/_build/gh-pages.zip if-no-files-found: 'error' - # since this artifact will be merged, compression is not necessary - compression-level: '0' - - merge: - name: Create Release Artifact - runs-on: ubuntu-latest - needs: [build_lambda_layer, docs] - steps: - - uses: actions/upload-artifact/merge@v6 - with: - # Craft expects release assets from github to be a single artifact named after the sha. - name: ${{ github.sha }} - pattern: artifact-* - delete-merged: true diff --git a/scripts/bump-version.sh b/scripts/bump-version.sh index 7d4a817cf6..c2153043fd 100755 --- a/scripts/bump-version.sh +++ b/scripts/bump-version.sh @@ -9,11 +9,8 @@ fi SCRIPT_DIR="$( dirname "$0" )" cd $SCRIPT_DIR/.. -OLD_VERSION="${1}" -NEW_VERSION="${2}" - -echo "Current version: $OLD_VERSION" -echo "Bumping version: $NEW_VERSION" +echo "Current version: $CRAFT_OLD_VERSION" +echo "Bumping version: $CRAFT_NEW_VERSION" function replace() { ! grep "$2" $3 @@ -21,6 +18,6 @@ function replace() { grep "$2" $3 # verify that replacement was successful } -replace "version=\"$OLD_VERSION\"" "version=\"$NEW_VERSION\"" ./setup.py -replace "VERSION = \"$OLD_VERSION\"" "VERSION = \"$NEW_VERSION\"" ./sentry_sdk/consts.py -replace "release = \"$OLD_VERSION\"" "release = \"$NEW_VERSION\"" ./docs/conf.py +replace "version=\"$CRAFT_OLD_VERSION\"" "version=\"$CRAFT_NEW_VERSION\"" ./setup.py +replace "VERSION = \"$CRAFT_OLD_VERSION\"" "VERSION = \"$CRAFT_NEW_VERSION\"" ./sentry_sdk/consts.py +replace "release = \"$CRAFT_OLD_VERSION\"" "release = \"$CRAFT_NEW_VERSION\"" ./docs/conf.py From 5a8f060965e8a9ecb63a51ddc072a92ec4e3922b Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Thu, 12 Feb 2026 09:20:27 +0100 Subject: [PATCH 08/19] docs: Document `openai-agents` control-flow (#5447) --- .../integrations/openai_agents/__init__.py | 26 +++++++++++++++++++ .../openai_agents/patches/agent_run.py | 24 ++++++++++++++--- .../openai_agents/patches/models.py | 5 ++++ .../openai_agents/patches/runner.py | 8 ++++-- .../openai_agents/patches/tools.py | 2 ++ 5 files changed, 59 insertions(+), 6 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index deb136de01..50cdae222b 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -52,6 +52,32 @@ def _patch_tools() -> None: class OpenAIAgentsIntegration(Integration): + """ + NOTE: With version 0.8.0, the class methods below have been refactored to functions. + - `AgentRunner._get_model()` -> `agents.run_internal.turn_preparation.get_model()` + - `AgentRunner._get_all_tools()` -> `agents.run_internal.turn_preparation.get_all_tools()` + - `AgentRunner._run_single_turn()` -> `agents.run_internal.run_loop.run_single_turn()` + - `RunImpl.execute_handoffs()` -> `agents.run_internal.turn_resolution.execute_handoffs()` + - `RunImpl.execute_final_output()` -> `agents.run_internal.turn_resolution.execute_final_output()` + + Typical interaction with the library: + 1. The user creates an Agent instance with configuration, including system instructions sent to every Responses API call. + 2. The user passes the agent instance to a Runner with `run()` and `run_streamed()` methods. The latter can be used to incrementally receive progress. + - `Runner.run()` and `Runner.run_streamed()` are thin wrappers for `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()`. + - `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()` are patched in `_patch_runner()` with `_create_run_wrapper()` and `_create_run_streamed_wrapper()`, respectively. + 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. + - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `_create_get_model_wrapper()` in `_patch_model()`. + - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools, in `_create_get_all_tools_wrapper()` called via `_patch_tools()` + - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patched_run_single_turn()` and `patched_run_single_turn_streamed()`. + 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. + + Local tools are run based on the return value from the Responses API as a post-API call step in the above loop. + Hosted MCP Tools are run as part of the Responses API call, and involve OpenAI reaching out to an external MCP server. + An agent can handoff to another agent, also directed by the return value of the Responses API and run post-API call in the loop. + Handoffs are a way to switch agent-wide configuration. + - Handoffs are executed by calling `RunImpl.execute_handoffs()`. The method is patched in `patched_execute_handoffs()` + """ + identifier = "openai_agents" @staticmethod diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index eeb821d42a..138151d930 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -94,7 +94,11 @@ def _maybe_start_agent_span( async def patched_run_single_turn( cls: "agents.Runner", *args: "Any", **kwargs: "Any" ) -> "Any": - """Patched _run_single_turn that creates agent invocation spans""" + """ + Patched _run_single_turn that + - creates agent invocation spans if there is no already active agent invocation span. + - ends the agent invocation span if and only if an exception is raised in `_run_single_turn()`. + """ agent = kwargs.get("agent") context_wrapper = kwargs.get("context_wrapper") should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks", False) @@ -121,7 +125,12 @@ async def patched_run_single_turn( async def patched_execute_handoffs( cls: "agents.Runner", *args: "Any", **kwargs: "Any" ) -> "Any": - """Patched execute_handoffs that creates handoff spans and ends agent span for handoffs""" + """ + Patched execute_handoffs that + - creates and manages handoff spans. + - ends the agent invocation span. + - ends the workflow span if the response is streamed and an exception is raised in `execute_handoffs()`. + """ context_wrapper = kwargs.get("context_wrapper") run_handoffs = kwargs.get("run_handoffs") @@ -156,7 +165,11 @@ async def patched_execute_handoffs( async def patched_execute_final_output( cls: "agents.Runner", *args: "Any", **kwargs: "Any" ) -> "Any": - """Patched execute_final_output that ends agent span for final outputs""" + """ + Patched execute_final_output that + - ends the agent invocation span. + - ends the workflow span if the response is streamed. + """ agent = kwargs.get("agent") context_wrapper = kwargs.get("context_wrapper") @@ -185,7 +198,10 @@ async def patched_execute_final_output( async def patched_run_single_turn_streamed( cls: "agents.Runner", *args: "Any", **kwargs: "Any" ) -> "Any": - """Patched _run_single_turn_streamed that creates agent invocation spans for streaming. + """ + Patched _run_single_turn_streamed that + - creates agent invocation spans for streaming if there is no already active agent invocation span. + - ends the agent invocation span if and only if `_run_single_turn_streamed()` raises an exception. Note: Unlike _run_single_turn which uses keyword-only arguments (*,), _run_single_turn_streamed uses positional arguments. The call signature is: diff --git a/sentry_sdk/integrations/openai_agents/patches/models.py b/sentry_sdk/integrations/openai_agents/patches/models.py index b6a69ae9f7..5d4d71185f 100644 --- a/sentry_sdk/integrations/openai_agents/patches/models.py +++ b/sentry_sdk/integrations/openai_agents/patches/models.py @@ -71,6 +71,11 @@ def _create_get_model_wrapper( ) -> "Callable[..., Any]": """ Wraps the agents.Runner._get_model method to wrap the get_response method of the model to create a AI client span. + + Responsible for + - creating and managing AI client spans. + - adding trace propagation headers to tools with type HostedMCPTool. + - setting the response model on agent invocation spans. """ @wraps( diff --git a/sentry_sdk/integrations/openai_agents/patches/runner.py b/sentry_sdk/integrations/openai_agents/patches/runner.py index b561500495..78c055890e 100644 --- a/sentry_sdk/integrations/openai_agents/patches/runner.py +++ b/sentry_sdk/integrations/openai_agents/patches/runner.py @@ -22,7 +22,9 @@ def _create_run_wrapper(original_func: "Callable[..., Any]") -> "Callable[..., Any]": """ - Wraps the agents.Runner.run methods to create a root span for the agent workflow runs. + Wraps the agents.Runner.run methods to + - create and manage a root span for the agent workflow runs. + - end the agent invocation span if an `AgentsException` is raised in `run()`. Note agents.Runner.run_sync() is a wrapper around agents.Runner.run(), so it does not need to be wrapped separately. @@ -85,7 +87,9 @@ def _create_run_streamed_wrapper( original_func: "Callable[..., Any]", ) -> "Callable[..., Any]": """ - Wraps the agents.Runner.run_streamed method to create a root span for streaming agent workflow runs. + Wraps the agents.Runner.run_streamed method to + - create a root span for streaming agent workflow runs. + - end the workflow span if and only if the response stream is consumed or cancelled. Unlike run(), run_streamed() returns immediately with a RunResultStreaming object while execution continues in a background task. The workflow span must stay open diff --git a/sentry_sdk/integrations/openai_agents/patches/tools.py b/sentry_sdk/integrations/openai_agents/patches/tools.py index d14a3019aa..56047e20c5 100644 --- a/sentry_sdk/integrations/openai_agents/patches/tools.py +++ b/sentry_sdk/integrations/openai_agents/patches/tools.py @@ -19,6 +19,8 @@ def _create_get_all_tools_wrapper( original_get_all_tools: "Callable[..., Any]", ) -> "Callable[..., Any]": """ + Responsible for creating and managing `gen_ai.execute_tool` spans. + Wraps the agents.Runner._get_all_tools method of the Runner class to wrap all function tools with Sentry instrumentation. """ From b50da06ad8d89a0f341fc46b9c05727b84c5691e Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 09:15:19 +0100 Subject: [PATCH 09/19] fix(openai-agents): Patch tool functions following library refactor (#5445) `AgentRunner._get_all_tools()` was moved to `agents.run_internal.turn_preparation.get_all_tools()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 54 ++++++-- .../openai_agents/patches/__init__.py | 2 +- .../openai_agents/patches/tools.py | 117 ++++++++---------- 3 files changed, 98 insertions(+), 75 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 50cdae222b..0c551fd9bd 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -1,8 +1,11 @@ from sentry_sdk.integrations import DidNotEnable, Integration +from sentry_sdk.utils import parse_version + +from functools import wraps from .patches import ( _create_get_model_wrapper, - _create_get_all_tools_wrapper, + _get_all_tools, _create_run_wrapper, _create_run_streamed_wrapper, _patch_agent_run, @@ -17,11 +20,21 @@ # after it, even if we don't use it. import agents from agents.run import DEFAULT_AGENT_RUNNER + from agents.run import AgentRunner + from agents.version import __version__ as OPENAI_AGENTS_VERSION except ImportError: raise DidNotEnable("OpenAI Agents not installed") +try: + # AgentRunner methods moved in v0.8 + # https://github.com/openai/openai-agents-python/commit/3ce7c24d349b77bb750062b7e0e856d9ff48a5d5#diff-7470b3a5c5cbe2fcbb2703dc24f326f45a5819d853be2b1f395d122d278cd911 + from agents.run_internal import run_loop +except ImportError: + run_loop = None + + def _patch_runner() -> None: # Create the root span for one full agent run (including eventual handoffs) # Note agents.run.DEFAULT_AGENT_RUNNER.run_sync is a wrapper around @@ -45,12 +58,6 @@ def _patch_model() -> None: ) -def _patch_tools() -> None: - agents.run.AgentRunner._get_all_tools = classmethod( - _create_get_all_tools_wrapper(agents.run.AgentRunner._get_all_tools), - ) - - class OpenAIAgentsIntegration(Integration): """ NOTE: With version 0.8.0, the class methods below have been refactored to functions. @@ -67,7 +74,7 @@ class OpenAIAgentsIntegration(Integration): - `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()` are patched in `_patch_runner()` with `_create_run_wrapper()` and `_create_run_streamed_wrapper()`, respectively. 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `_create_get_model_wrapper()` in `_patch_model()`. - - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools, in `_create_get_all_tools_wrapper()` called via `_patch_tools()` + - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patched_run_single_turn()` and `patched_run_single_turn_streamed()`. 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. @@ -83,6 +90,35 @@ class OpenAIAgentsIntegration(Integration): @staticmethod def setup_once() -> None: _patch_error_tracing() - _patch_tools() _patch_model() _patch_runner() + + library_version = parse_version(OPENAI_AGENTS_VERSION) + if library_version is not None and library_version >= ( + 0, + 8, + ): + + @wraps(run_loop.get_all_tools) + async def new_wrapped_get_all_tools( + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", + ) -> "list[agents.Tool]": + return await _get_all_tools( + run_loop.get_all_tools, agent, context_wrapper + ) + + agents.run.get_all_tools = new_wrapped_get_all_tools + return + + original_get_all_tools = AgentRunner._get_all_tools + + @wraps(AgentRunner._get_all_tools.__func__) + async def old_wrapped_get_all_tools( + cls: "agents.Runner", + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", + ) -> "list[agents.Tool]": + return await _get_all_tools(original_get_all_tools, agent, context_wrapper) + + agents.run.AgentRunner._get_all_tools = classmethod(old_wrapped_get_all_tools) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index b53ca79e19..ab3948bdc1 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,5 +1,5 @@ from .models import _create_get_model_wrapper # noqa: F401 -from .tools import _create_get_all_tools_wrapper # noqa: F401 +from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 from .agent_run import _patch_agent_run # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/tools.py b/sentry_sdk/integrations/openai_agents/patches/tools.py index 56047e20c5..e13dfcbab2 100644 --- a/sentry_sdk/integrations/openai_agents/patches/tools.py +++ b/sentry_sdk/integrations/openai_agents/patches/tools.py @@ -7,7 +7,7 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any, Callable + from typing import Any, Callable, Awaitable try: import agents @@ -15,70 +15,57 @@ raise DidNotEnable("OpenAI Agents not installed") -def _create_get_all_tools_wrapper( - original_get_all_tools: "Callable[..., Any]", -) -> "Callable[..., Any]": +async def _get_all_tools( + original_get_all_tools: "Callable[..., Awaitable[list[agents.Tool]]]", + agent: "agents.Agent", + context_wrapper: "agents.RunContextWrapper", +) -> "list[agents.Tool]": """ Responsible for creating and managing `gen_ai.execute_tool` spans. - - Wraps the agents.Runner._get_all_tools method of the Runner class to wrap all function tools with Sentry instrumentation. """ - - @wraps( - original_get_all_tools.__func__ - if hasattr(original_get_all_tools, "__func__") - else original_get_all_tools - ) - async def wrapped_get_all_tools( - cls: "agents.Runner", - agent: "agents.Agent", - context_wrapper: "agents.RunContextWrapper", - ) -> "list[agents.Tool]": - # Get the original tools - tools = await original_get_all_tools(agent, context_wrapper) - - wrapped_tools = [] - for tool in tools: - # Wrap only the function tools (for now) - if tool.__class__.__name__ != "FunctionTool": - wrapped_tools.append(tool) - continue - - # Create a new FunctionTool with our wrapped invoke method - original_on_invoke = tool.on_invoke_tool - - def create_wrapped_invoke( - current_tool: "agents.Tool", current_on_invoke: "Callable[..., Any]" - ) -> "Callable[..., Any]": - @wraps(current_on_invoke) - async def sentry_wrapped_on_invoke_tool( - *args: "Any", **kwargs: "Any" - ) -> "Any": - with execute_tool_span(current_tool, *args, **kwargs) as span: - # We can not capture exceptions in tool execution here because - # `_on_invoke_tool` is swallowing the exception here: - # https://github.com/openai/openai-agents-python/blob/main/src/agents/tool.py#L409-L422 - # And because function_tool is a decorator with `default_tool_error_function` set as a default parameter - # I was unable to monkey patch it because those are evaluated at module import time - # and the SDK is too late to patch it. I was also unable to patch `_on_invoke_tool_impl` - # because it is nested inside this import time code. As if they made it hard to patch on purpose... - result = await current_on_invoke(*args, **kwargs) - update_execute_tool_span(span, agent, current_tool, result) - - return result - - return sentry_wrapped_on_invoke_tool - - wrapped_tool = agents.FunctionTool( - name=tool.name, - description=tool.description, - params_json_schema=tool.params_json_schema, - on_invoke_tool=create_wrapped_invoke(tool, original_on_invoke), - strict_json_schema=tool.strict_json_schema, - is_enabled=tool.is_enabled, - ) - wrapped_tools.append(wrapped_tool) - - return wrapped_tools - - return wrapped_get_all_tools + # Get the original tools + tools = await original_get_all_tools(agent, context_wrapper) + + wrapped_tools = [] + for tool in tools: + # Wrap only the function tools (for now) + if tool.__class__.__name__ != "FunctionTool": + wrapped_tools.append(tool) + continue + + # Create a new FunctionTool with our wrapped invoke method + original_on_invoke = tool.on_invoke_tool + + def create_wrapped_invoke( + current_tool: "agents.Tool", current_on_invoke: "Callable[..., Any]" + ) -> "Callable[..., Any]": + @wraps(current_on_invoke) + async def sentry_wrapped_on_invoke_tool( + *args: "Any", **kwargs: "Any" + ) -> "Any": + with execute_tool_span(current_tool, *args, **kwargs) as span: + # We can not capture exceptions in tool execution here because + # `_on_invoke_tool` is swallowing the exception here: + # https://github.com/openai/openai-agents-python/blob/main/src/agents/tool.py#L409-L422 + # And because function_tool is a decorator with `default_tool_error_function` set as a default parameter + # I was unable to monkey patch it because those are evaluated at module import time + # and the SDK is too late to patch it. I was also unable to patch `_on_invoke_tool_impl` + # because it is nested inside this import time code. As if they made it hard to patch on purpose... + result = await current_on_invoke(*args, **kwargs) + update_execute_tool_span(span, agent, current_tool, result) + + return result + + return sentry_wrapped_on_invoke_tool + + wrapped_tool = agents.FunctionTool( + name=tool.name, + description=tool.description, + params_json_schema=tool.params_json_schema, + on_invoke_tool=create_wrapped_invoke(tool, original_on_invoke), + strict_json_schema=tool.strict_json_schema, + is_enabled=tool.is_enabled, + ) + wrapped_tools.append(wrapped_tool) + + return wrapped_tools From f78df7c01768282a32cdc8d12cf899769f7551bd Mon Sep 17 00:00:00 2001 From: Ivana Kellyer Date: Fri, 13 Feb 2026 14:20:17 +0100 Subject: [PATCH 10/19] ci: Use fixed clickhouse action, remove aws-sam-cli dependency (#5457) Use https://github.com/getsentry/action-clickhouse-in-ci/releases/tag/v1.7 in our clickhouse test setup. GH environment already has AWS SAM installed with a version compatible with the Docker API offered. --------- Co-authored-by: Alex Alderman Webb --- .github/workflows/test-integrations-dbs.yml | 2 +- .../populate_tox/package_dependencies.jsonl | 21 +++-- scripts/populate_tox/releases.jsonl | 49 +++++----- scripts/populate_tox/tox.jinja | 1 - .../templates/test_group.jinja | 2 +- tox.ini | 91 +++++++++---------- 6 files changed, 84 insertions(+), 82 deletions(-) diff --git a/.github/workflows/test-integrations-dbs.yml b/.github/workflows/test-integrations-dbs.yml index b1dadb0ca5..c27d728b98 100644 --- a/.github/workflows/test-integrations-dbs.yml +++ b/.github/workflows/test-integrations-dbs.yml @@ -66,7 +66,7 @@ jobs: python-version: ${{ matrix.python-version }} allow-prereleases: true - name: "Setup ClickHouse Server" - uses: getsentry/action-clickhouse-in-ci@v1.6 + uses: getsentry/action-clickhouse-in-ci@v1.7 - name: Setup Test Env run: | pip install "coverage[toml]" tox diff --git 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{"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}, {"packagetype": "bdist_wheel", "filename": "uuid_utils-0.14.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl"}, {"packagetype": "sdist", "filename": "uuid_utils-0.14.0.tar.gz"}]} diff --git a/scripts/populate_tox/tox.jinja b/scripts/populate_tox/tox.jinja index 7e49c2156d..e623c43e89 100755 --- a/scripts/populate_tox/tox.jinja +++ b/scripts/populate_tox/tox.jinja @@ -112,7 +112,6 @@ deps = # AWS Lambda aws_lambda: aws-cdk-lib - aws_lambda: aws-sam-cli aws_lambda: boto3 aws_lambda: fastapi aws_lambda: requests diff --git a/scripts/split_tox_gh_actions/templates/test_group.jinja b/scripts/split_tox_gh_actions/templates/test_group.jinja index e9581d2d8f..bec1a0f835 100644 --- a/scripts/split_tox_gh_actions/templates/test_group.jinja +++ b/scripts/split_tox_gh_actions/templates/test_group.jinja @@ -51,7 +51,7 @@ {% if needs_clickhouse %} - name: "Setup ClickHouse Server" - uses: getsentry/action-clickhouse-in-ci@v1.6 + uses: getsentry/action-clickhouse-in-ci@v1.7 {% endif %} {% if needs_redis %} diff --git a/tox.ini b/tox.ini index f8e8739d47..5a141f6b0e 100644 --- a/tox.ini +++ b/tox.ini @@ -65,7 +65,7 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v0.4.1 {py3.10,py3.13,py3.14,py3.14t}-fastmcp-v1.0 {py3.10,py3.12,py3.13}-fastmcp-v2.14.5 - {py3.10,py3.12,py3.13}-fastmcp-v3.0.0b2 + {py3.10,py3.12,py3.13}-fastmcp-v3.0.0rc1 # ~~~ Agents ~~~ @@ -75,19 +75,19 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.7.0 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.18.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.36.0 - {py3.10,py3.12,py3.13}-pydantic_ai-v1.56.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.19.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.38.0 + {py3.10,py3.12,py3.13}-pydantic_ai-v1.58.0 # ~~~ AI Workflow ~~~ {py3.9,py3.11,py3.12}-langchain-base-v0.1.20 {py3.9,py3.12,py3.13}-langchain-base-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-base-v1.2.9 + {py3.10,py3.13,py3.14}-langchain-base-v1.2.10 {py3.9,py3.11,py3.12}-langchain-notiktoken-v0.1.20 {py3.9,py3.12,py3.13}-langchain-notiktoken-v0.3.27 - {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.9 + {py3.10,py3.13,py3.14}-langchain-notiktoken-v1.2.10 {py3.9,py3.13,py3.14}-langgraph-v0.6.11 {py3.10,py3.12,py3.13}-langgraph-v1.0.8 @@ -102,12 +102,12 @@ envlist = {py3.9,py3.10,py3.11}-cohere-v5.4.0 {py3.9,py3.11,py3.12}-cohere-v5.10.0 {py3.9,py3.11,py3.12}-cohere-v5.15.0 - {py3.9,py3.11,py3.12}-cohere-v5.20.4 + {py3.9,py3.13,py3.14}-cohere-v5.20.5 {py3.9,py3.12,py3.13}-google_genai-v1.29.0 {py3.9,py3.12,py3.13}-google_genai-v1.40.0 {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.51.0 - {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.62.0 + {py3.10,py3.13,py3.14,py3.14t}-google_genai-v1.63.0 {py3.8,py3.10,py3.11}-huggingface_hub-v0.24.7 {py3.8,py3.12,py3.13}-huggingface_hub-v0.36.2 @@ -116,22 +116,22 @@ 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-v1.81.9 + {py3.9,py3.12,py3.13}-litellm-v1.81.11 {py3.8,py3.11,py3.12}-openai-base-v1.0.1 {py3.8,py3.12,py3.13}-openai-base-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.17.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-base-v2.20.0 {py3.8,py3.11,py3.12}-openai-notiktoken-v1.0.1 {py3.8,py3.12,py3.13}-openai-notiktoken-v1.109.1 - {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.17.0 + {py3.9,py3.13,py3.14,py3.14t}-openai-notiktoken-v2.20.0 # ~~~ Cloud ~~~ {py3.6,py3.7}-boto3-v1.12.49 {py3.6,py3.9,py3.10}-boto3-v1.21.46 {py3.7,py3.11,py3.12}-boto3-v1.33.13 - {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.44 + {py3.9,py3.13,py3.14,py3.14t}-boto3-v1.42.48 {py3.6,py3.7,py3.8}-chalice-v1.16.0 {py3.9,py3.12,py3.13}-chalice-v1.32.0 @@ -154,7 +154,7 @@ 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 - {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.0 + {py3.10,py3.13,py3.14,py3.14t}-redis-v7.1.1 {py3.6}-redis_py_cluster_legacy-v1.3.6 {py3.6,py3.7,py3.8}-redis_py_cluster_legacy-v2.1.3 @@ -167,16 +167,16 @@ envlist = # ~~~ Flags ~~~ {py3.8,py3.12,py3.13}-launchdarkly-v9.8.1 - {py3.9,py3.13,py3.14,py3.14t}-launchdarkly-v9.14.1 + {py3.10,py3.13,py3.14,py3.14t}-launchdarkly-v9.15.0 {py3.8,py3.13,py3.14,py3.14t}-openfeature-v0.7.5 {py3.9,py3.13,py3.14,py3.14t}-openfeature-v0.8.4 {py3.7,py3.13,py3.14}-statsig-v0.55.3 - {py3.7,py3.13,py3.14}-statsig-v0.68.0 + {py3.7,py3.13,py3.14}-statsig-v0.69.0 {py3.8,py3.12,py3.13}-unleash-v6.0.1 - {py3.8,py3.12,py3.13}-unleash-v6.5.1 + {py3.8,py3.12,py3.13}-unleash-v6.5.2 # ~~~ GraphQL ~~~ @@ -257,9 +257,9 @@ envlist = {py3.10,py3.13,py3.14,py3.14t}-starlette-v0.52.1 {py3.6,py3.9,py3.10}-fastapi-v0.79.1 - {py3.7,py3.10,py3.11}-fastapi-v0.95.2 - {py3.8,py3.11,py3.12}-fastapi-v0.111.1 - {py3.9,py3.13,py3.14,py3.14t}-fastapi-v0.128.5 + {py3.7,py3.10,py3.11}-fastapi-v0.96.1 + {py3.8,py3.11,py3.12}-fastapi-v0.113.0 + {py3.10,py3.13,py3.14,py3.14t}-fastapi-v0.129.0 # ~~~ Web 2 ~~~ @@ -313,7 +313,7 @@ envlist = {py3.9,py3.12,py3.13}-trytond-v7.8.4 {py3.7,py3.12,py3.13}-typer-v0.15.4 - {py3.9,py3.13,py3.14,py3.14t}-typer-v0.21.1 + {py3.9,py3.13,py3.14,py3.14t}-typer-v0.23.1 @@ -363,7 +363,6 @@ deps = # AWS Lambda aws_lambda: aws-cdk-lib - aws_lambda: aws-sam-cli aws_lambda: boto3 aws_lambda: fastapi aws_lambda: requests @@ -392,7 +391,7 @@ deps = fastmcp-v0.4.1: fastmcp==0.4.1 fastmcp-v1.0: fastmcp==1.0 fastmcp-v2.14.5: fastmcp==2.14.5 - fastmcp-v3.0.0b2: fastmcp==3.0.0b2 + fastmcp-v3.0.0rc1: fastmcp==3.0.0rc1 fastmcp: pytest-asyncio @@ -404,33 +403,33 @@ deps = openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 - pydantic_ai-v1.18.0: pydantic-ai==1.18.0 - pydantic_ai-v1.36.0: pydantic-ai==1.36.0 - pydantic_ai-v1.56.0: pydantic-ai==1.56.0 + pydantic_ai-v1.19.0: pydantic-ai==1.19.0 + pydantic_ai-v1.38.0: pydantic-ai==1.38.0 + pydantic_ai-v1.58.0: pydantic-ai==1.58.0 pydantic_ai: pytest-asyncio # ~~~ AI Workflow ~~~ langchain-base-v0.1.20: langchain==0.1.20 langchain-base-v0.3.27: langchain==0.3.27 - langchain-base-v1.2.9: langchain==1.2.9 + langchain-base-v1.2.10: langchain==1.2.10 langchain-base: pytest-asyncio langchain-base: openai langchain-base: tiktoken langchain-base: langchain-openai langchain-base-v0.3.27: langchain-community - langchain-base-v1.2.9: langchain-community - langchain-base-v1.2.9: langchain-classic + langchain-base-v1.2.10: langchain-community + langchain-base-v1.2.10: langchain-classic langchain-notiktoken-v0.1.20: langchain==0.1.20 langchain-notiktoken-v0.3.27: langchain==0.3.27 - langchain-notiktoken-v1.2.9: langchain==1.2.9 + langchain-notiktoken-v1.2.10: langchain==1.2.10 langchain-notiktoken: pytest-asyncio langchain-notiktoken: openai langchain-notiktoken: langchain-openai langchain-notiktoken-v0.3.27: langchain-community - langchain-notiktoken-v1.2.9: langchain-community - langchain-notiktoken-v1.2.9: langchain-classic + langchain-notiktoken-v1.2.10: langchain-community + langchain-notiktoken-v1.2.10: langchain-classic langgraph-v0.6.11: langgraph==0.6.11 langgraph-v1.0.8: langgraph==1.0.8 @@ -448,12 +447,12 @@ deps = 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-v5.20.4: cohere==5.20.4 + cohere-v5.20.5: cohere==5.20.5 google_genai-v1.29.0: google-genai==1.29.0 google_genai-v1.40.0: google-genai==1.40.0 google_genai-v1.51.0: google-genai==1.51.0 - google_genai-v1.62.0: google-genai==1.62.0 + google_genai-v1.63.0: google-genai==1.63.0 google_genai: pytest-asyncio huggingface_hub-v0.24.7: huggingface_hub==0.24.7 @@ -465,18 +464,18 @@ 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-v1.81.9: litellm==1.81.9 + litellm-v1.81.11: litellm==1.81.11 openai-base-v1.0.1: openai==1.0.1 openai-base-v1.109.1: openai==1.109.1 - openai-base-v2.17.0: openai==2.17.0 + openai-base-v2.20.0: openai==2.20.0 openai-base: pytest-asyncio openai-base: tiktoken openai-base-v1.0.1: httpx<0.28 openai-notiktoken-v1.0.1: openai==1.0.1 openai-notiktoken-v1.109.1: openai==1.109.1 - openai-notiktoken-v2.17.0: openai==2.17.0 + openai-notiktoken-v2.20.0: openai==2.20.0 openai-notiktoken: pytest-asyncio openai-notiktoken-v1.0.1: httpx<0.28 @@ -485,7 +484,7 @@ 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-v1.42.44: boto3==1.42.44 + boto3-v1.42.48: boto3==1.42.48 {py3.7,py3.8}-boto3: urllib3<2.0.0 chalice-v1.16.0: chalice==1.16.0 @@ -513,7 +512,7 @@ deps = redis-v4.6.0: redis==4.6.0 redis-v5.3.1: redis==5.3.1 redis-v6.4.0: redis==6.4.0 - redis-v7.1.0: redis==7.1.0 + redis-v7.1.1: redis==7.1.1 redis: fakeredis!=1.7.4 redis: pytest<8.0.0 redis-v4.6.0: fakeredis<2.31.0 @@ -531,17 +530,17 @@ deps = # ~~~ Flags ~~~ launchdarkly-v9.8.1: launchdarkly-server-sdk==9.8.1 - launchdarkly-v9.14.1: launchdarkly-server-sdk==9.14.1 + launchdarkly-v9.15.0: launchdarkly-server-sdk==9.15.0 openfeature-v0.7.5: openfeature-sdk==0.7.5 openfeature-v0.8.4: openfeature-sdk==0.8.4 statsig-v0.55.3: statsig==0.55.3 - statsig-v0.68.0: statsig==0.68.0 + statsig-v0.69.0: statsig==0.69.0 statsig: typing_extensions unleash-v6.0.1: UnleashClient==6.0.1 - unleash-v6.5.1: UnleashClient==6.5.1 + unleash-v6.5.2: UnleashClient==6.5.2 # ~~~ GraphQL ~~~ @@ -690,16 +689,16 @@ deps = {py3.6}-starlette: aiocontextvars fastapi-v0.79.1: fastapi==0.79.1 - fastapi-v0.95.2: fastapi==0.95.2 - fastapi-v0.111.1: fastapi==0.111.1 - fastapi-v0.128.5: fastapi==0.128.5 + fastapi-v0.96.1: fastapi==0.96.1 + fastapi-v0.113.0: fastapi==0.113.0 + fastapi-v0.129.0: fastapi==0.129.0 fastapi: httpx fastapi: pytest-asyncio fastapi: python-multipart fastapi: requests fastapi: anyio<4 fastapi-v0.79.1: httpx<0.28.0 - fastapi-v0.95.2: httpx<0.28.0 + fastapi-v0.96.1: httpx<0.28.0 {py3.6}-fastapi: aiocontextvars @@ -792,7 +791,7 @@ deps = trytond-v4.8.18: werkzeug<1.0 typer-v0.15.4: typer==0.15.4 - typer-v0.21.1: typer==0.21.1 + typer-v0.23.1: typer==0.23.1 From a5c2906a480d9b108041759b4e04912e296f7f90 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 14:34:37 +0100 Subject: [PATCH 11/19] fix(openai-agents): Patch models functions following library refactor (#5449) `AgentRunner. _get_model()` was moved to `agents.run_internal.turn_preparation. get_model()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 32 ++- .../openai_agents/patches/__init__.py | 2 +- .../openai_agents/patches/models.py | 235 +++++++++--------- 3 files changed, 134 insertions(+), 135 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 0c551fd9bd..9b3a670c2c 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -4,7 +4,7 @@ from functools import wraps from .patches import ( - _create_get_model_wrapper, + _get_model, _get_all_tools, _create_run_wrapper, _create_run_streamed_wrapper, @@ -30,9 +30,10 @@ try: # AgentRunner methods moved in v0.8 # https://github.com/openai/openai-agents-python/commit/3ce7c24d349b77bb750062b7e0e856d9ff48a5d5#diff-7470b3a5c5cbe2fcbb2703dc24f326f45a5819d853be2b1f395d122d278cd911 - from agents.run_internal import run_loop + from agents.run_internal import run_loop, turn_preparation except ImportError: run_loop = None + turn_preparation = None def _patch_runner() -> None: @@ -52,12 +53,6 @@ def _patch_runner() -> None: _patch_agent_run() -def _patch_model() -> None: - agents.run.AgentRunner._get_model = classmethod( - _create_get_model_wrapper(agents.run.AgentRunner._get_model), - ) - - class OpenAIAgentsIntegration(Integration): """ NOTE: With version 0.8.0, the class methods below have been refactored to functions. @@ -73,7 +68,7 @@ class OpenAIAgentsIntegration(Integration): - `Runner.run()` and `Runner.run_streamed()` are thin wrappers for `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()`. - `DEFAULT_AGENT_RUNNER.run()` and `DEFAULT_AGENT_RUNNER.run_streamed()` are patched in `_patch_runner()` with `_create_run_wrapper()` and `_create_run_streamed_wrapper()`, respectively. 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. - - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `_create_get_model_wrapper()` in `_patch_model()`. + - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `patches._get_model()`. - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patched_run_single_turn()` and `patched_run_single_turn_streamed()`. 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. @@ -90,7 +85,6 @@ class OpenAIAgentsIntegration(Integration): @staticmethod def setup_once() -> None: _patch_error_tracing() - _patch_model() _patch_runner() library_version = parse_version(OPENAI_AGENTS_VERSION) @@ -109,6 +103,14 @@ async def new_wrapped_get_all_tools( ) agents.run.get_all_tools = new_wrapped_get_all_tools + + @wraps(turn_preparation.get_model) + def new_wrapped_get_model( + agent: "agents.Agent", run_config: "agents.RunConfig" + ) -> "agents.Model": + return _get_model(turn_preparation.get_model, agent, run_config) + + agents.run_internal.run_loop.get_model = new_wrapped_get_model return original_get_all_tools = AgentRunner._get_all_tools @@ -122,3 +124,13 @@ async def old_wrapped_get_all_tools( return await _get_all_tools(original_get_all_tools, agent, context_wrapper) agents.run.AgentRunner._get_all_tools = classmethod(old_wrapped_get_all_tools) + + original_get_model = AgentRunner._get_model + + @wraps(AgentRunner._get_model.__func__) + def old_wrapped_get_model( + cls: "agents.Runner", agent: "agents.Agent", run_config: "agents.RunConfig" + ) -> "agents.Model": + return _get_model(original_get_model, agent, run_config) + + agents.run.AgentRunner._get_model = classmethod(old_wrapped_get_model) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index ab3948bdc1..fe06200793 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,4 +1,4 @@ -from .models import _create_get_model_wrapper # noqa: F401 +from .models import _get_model # noqa: F401 from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 from .agent_run import _patch_agent_run # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/models.py b/sentry_sdk/integrations/openai_agents/patches/models.py index 5d4d71185f..6b5dceef97 100644 --- a/sentry_sdk/integrations/openai_agents/patches/models.py +++ b/sentry_sdk/integrations/openai_agents/patches/models.py @@ -66,141 +66,128 @@ def _inject_trace_propagation_headers( headers[key] = value -def _create_get_model_wrapper( - original_get_model: "Callable[..., Any]", -) -> "Callable[..., Any]": +def _get_model( + original_get_model: "Callable[..., agents.Model]", + agent: "agents.Agent", + run_config: "agents.RunConfig", +) -> "agents.Model": """ - Wraps the agents.Runner._get_model method to wrap the get_response method of the model to create a AI client span. - Responsible for - creating and managing AI client spans. - adding trace propagation headers to tools with type HostedMCPTool. - setting the response model on agent invocation spans. """ + # copy the model to double patching its methods. We use copy on purpose here (instead of deepcopy) + # because we only patch its direct methods, all underlying data can remain unchanged. + model = copy.copy(original_get_model(agent, run_config)) + + # Capture the request model name for spans (agent.model can be None when using defaults) + request_model_name = model.model if hasattr(model, "model") else str(model) + agent._sentry_request_model = request_model_name + + # Wrap _fetch_response if it exists (for OpenAI models) to capture response model + if hasattr(model, "_fetch_response"): + original_fetch_response = model._fetch_response + + @wraps(original_fetch_response) + async def wrapped_fetch_response(*args: "Any", **kwargs: "Any") -> "Any": + response = await original_fetch_response(*args, **kwargs) + if hasattr(response, "model") and response.model: + agent._sentry_response_model = str(response.model) + return response + + model._fetch_response = wrapped_fetch_response + + original_get_response = model.get_response + + @wraps(original_get_response) + async def wrapped_get_response(*args: "Any", **kwargs: "Any") -> "Any": + mcp_tools = kwargs.get("tools") + hosted_tools = [] + if mcp_tools is not None: + hosted_tools = [ + tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) + ] + + with ai_client_span(agent, kwargs) as span: + for hosted_tool in hosted_tools: + _inject_trace_propagation_headers(hosted_tool, span=span) + + result = await original_get_response(*args, **kwargs) + + # Get response model captured from _fetch_response and clean up + response_model = getattr(agent, "_sentry_response_model", None) + if response_model: + delattr(agent, "_sentry_response_model") + + _set_response_model_on_agent_span(agent, response_model) + update_ai_client_span(span, result, response_model, agent) + + return result + + model.get_response = wrapped_get_response + + # Also wrap stream_response for streaming support + if hasattr(model, "stream_response"): + original_stream_response = model.stream_response + + @wraps(original_stream_response) + async def wrapped_stream_response(*args: "Any", **kwargs: "Any") -> "Any": + # Uses explicit try/finally instead of context manager to ensure cleanup + # even if the consumer abandons the stream (GeneratorExit). + span_kwargs = dict(kwargs) + if len(args) > 0: + span_kwargs["system_instructions"] = args[0] + if len(args) > 1: + span_kwargs["input"] = args[1] - @wraps( - original_get_model.__func__ - if hasattr(original_get_model, "__func__") - else original_get_model - ) - def wrapped_get_model( - cls: "agents.Runner", agent: "agents.Agent", run_config: "agents.RunConfig" - ) -> "agents.Model": - # copy the model to double patching its methods. We use copy on purpose here (instead of deepcopy) - # because we only patch its direct methods, all underlying data can remain unchanged. - model = copy.copy(original_get_model(agent, run_config)) - - # Capture the request model name for spans (agent.model can be None when using defaults) - request_model_name = model.model if hasattr(model, "model") else str(model) - agent._sentry_request_model = request_model_name - - # Wrap _fetch_response if it exists (for OpenAI models) to capture response model - if hasattr(model, "_fetch_response"): - original_fetch_response = model._fetch_response - - @wraps(original_fetch_response) - async def wrapped_fetch_response(*args: "Any", **kwargs: "Any") -> "Any": - response = await original_fetch_response(*args, **kwargs) - if hasattr(response, "model") and response.model: - agent._sentry_response_model = str(response.model) - return response - - model._fetch_response = wrapped_fetch_response - - original_get_response = model.get_response - - @wraps(original_get_response) - async def wrapped_get_response(*args: "Any", **kwargs: "Any") -> "Any": - mcp_tools = kwargs.get("tools") hosted_tools = [] - if mcp_tools is not None: - hosted_tools = [ - tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) - ] + if len(args) > 3: + mcp_tools = args[3] + + if mcp_tools is not None: + hosted_tools = [ + tool for tool in mcp_tools if isinstance(tool, HostedMCPTool) + ] - with ai_client_span(agent, kwargs) as span: + with ai_client_span(agent, span_kwargs) as span: for hosted_tool in hosted_tools: _inject_trace_propagation_headers(hosted_tool, span=span) - result = await original_get_response(*args, **kwargs) - - # Get response model captured from _fetch_response and clean up - response_model = getattr(agent, "_sentry_response_model", None) - if response_model: - delattr(agent, "_sentry_response_model") - - _set_response_model_on_agent_span(agent, response_model) - update_ai_client_span(span, result, response_model, agent) - - return result - - model.get_response = wrapped_get_response - - # Also wrap stream_response for streaming support - if hasattr(model, "stream_response"): - original_stream_response = model.stream_response - - @wraps(original_stream_response) - async def wrapped_stream_response(*args: "Any", **kwargs: "Any") -> "Any": - # Uses explicit try/finally instead of context manager to ensure cleanup - # even if the consumer abandons the stream (GeneratorExit). - span_kwargs = dict(kwargs) - if len(args) > 0: - span_kwargs["system_instructions"] = args[0] - if len(args) > 1: - span_kwargs["input"] = args[1] - - hosted_tools = [] - if len(args) > 3: - mcp_tools = args[3] - - if mcp_tools is not None: - hosted_tools = [ - tool - for tool in mcp_tools - if isinstance(tool, HostedMCPTool) - ] - - with ai_client_span(agent, span_kwargs) as span: - for hosted_tool in hosted_tools: - _inject_trace_propagation_headers(hosted_tool, span=span) - - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - - streaming_response = None - ttft_recorded = False - # Capture start time locally to avoid race conditions with concurrent requests - start_time = time.perf_counter() - - async for event in original_stream_response(*args, **kwargs): - # Detect first content token (text delta event) - if not ttft_recorded and hasattr(event, "delta"): - ttft = time.perf_counter() - start_time - span.set_data( - SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN, ttft - ) - ttft_recorded = True - - # Capture the full response from ResponseCompletedEvent - if hasattr(event, "response"): - streaming_response = event.response - yield event - - # Update span with response data (usage, output, model) - if streaming_response: - response_model = ( - str(streaming_response.model) - if hasattr(streaming_response, "model") - and streaming_response.model - else None - ) - _set_response_model_on_agent_span(agent, response_model) - update_ai_client_span( - span, streaming_response, response_model, agent - ) - - model.stream_response = wrapped_stream_response + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - return model + streaming_response = None + ttft_recorded = False + # Capture start time locally to avoid race conditions with concurrent requests + start_time = time.perf_counter() - return wrapped_get_model + async for event in original_stream_response(*args, **kwargs): + # Detect first content token (text delta event) + if not ttft_recorded and hasattr(event, "delta"): + ttft = time.perf_counter() - start_time + span.set_data( + SPANDATA.GEN_AI_RESPONSE_TIME_TO_FIRST_TOKEN, ttft + ) + ttft_recorded = True + + # Capture the full response from ResponseCompletedEvent + if hasattr(event, "response"): + streaming_response = event.response + yield event + + # Update span with response data (usage, output, model) + if streaming_response: + response_model = ( + str(streaming_response.model) + if hasattr(streaming_response, "model") + and streaming_response.model + else None + ) + _set_response_model_on_agent_span(agent, response_model) + update_ai_client_span( + span, streaming_response, response_model, agent + ) + + model.stream_response = wrapped_stream_response + + return model From 14e3e0a0a0cf3b2320fb88c3568ff1a74d86cc36 Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 14:54:25 +0100 Subject: [PATCH 12/19] fix(openai-agents): Patch `run_single_turn()` functions following library refactor (#5450) `AgentRunner._run_single_turn()` was moved to `agents.run_internal.run_loop.run_single_turn()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 31 +++- .../openai_agents/patches/__init__.py | 2 +- .../openai_agents/patches/agent_run.py | 164 +++++++++--------- 3 files changed, 114 insertions(+), 83 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 9b3a670c2c..2f0ac023e7 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -6,6 +6,7 @@ from .patches import ( _get_model, _get_all_tools, + _run_single_turn, _create_run_wrapper, _create_run_streamed_wrapper, _patch_agent_run, @@ -35,6 +36,13 @@ run_loop = None turn_preparation = None +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from typing import Any + + from agents.run_internal.run_steps import SingleStepResult + def _patch_runner() -> None: # Create the root span for one full agent run (including eventual handoffs) @@ -70,7 +78,7 @@ class OpenAIAgentsIntegration(Integration): 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `patches._get_model()`. - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. - - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patched_run_single_turn()` and `patched_run_single_turn_streamed()`. + - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patches._run_single_turn()` and `patched_run_single_turn_streamed()`. 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. Local tools are run based on the return value from the Responses API as a post-API call step in the above loop. @@ -111,6 +119,15 @@ def new_wrapped_get_model( return _get_model(turn_preparation.get_model, agent, run_config) agents.run_internal.run_loop.get_model = new_wrapped_get_model + + @wraps(run_loop.run_single_turn) + async def new_wrapped_run_single_turn( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn(run_loop.run_single_turn, *args, **kwargs) + + agents.run.run_single_turn = new_wrapped_run_single_turn + return original_get_all_tools = AgentRunner._get_all_tools @@ -134,3 +151,15 @@ def old_wrapped_get_model( return _get_model(original_get_model, agent, run_config) agents.run.AgentRunner._get_model = classmethod(old_wrapped_get_model) + + original_run_single_turn = AgentRunner._run_single_turn + + @wraps(AgentRunner._run_single_turn.__func__) + async def old_wrapped_run_single_turn( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn(original_run_single_turn, *args, **kwargs) + + agents.run.AgentRunner._run_single_turn = classmethod( + old_wrapped_run_single_turn + ) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index fe06200793..d471a9f35c 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,5 +1,5 @@ from .models import _get_model # noqa: F401 from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 -from .agent_run import _patch_agent_run # noqa: F401 +from .agent_run import _run_single_turn, _patch_agent_run # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index 138151d930..ae879ad9df 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -14,108 +14,111 @@ from typing import TYPE_CHECKING if TYPE_CHECKING: - from typing import Any, Optional + from typing import Any, Optional, Callable, Awaitable from sentry_sdk.tracing import Span + from agents.run_internal.run_steps import SingleStepResult + try: import agents except ImportError: raise DidNotEnable("OpenAI Agents not installed") -def _patch_agent_run() -> None: - """ - Patches AgentRunner methods to create agent invocation spans. - This directly patches the execution flow to track when agents start and stop. +def _has_active_agent_span(context_wrapper: "agents.RunContextWrapper") -> bool: + """Check if there's an active agent span for this context""" + return getattr(context_wrapper, "_sentry_current_agent", None) is not None + + +def _get_current_agent( + context_wrapper: "agents.RunContextWrapper", +) -> "Optional[agents.Agent]": + """Get the current agent from context wrapper""" + return getattr(context_wrapper, "_sentry_current_agent", None) + + +def _close_streaming_workflow_span(agent: "Optional[agents.Agent]") -> None: + """Close the workflow span for streaming executions if it exists.""" + if agent and hasattr(agent, "_sentry_workflow_span"): + workflow_span = agent._sentry_workflow_span + workflow_span.__exit__(*sys.exc_info()) + delattr(agent, "_sentry_workflow_span") + + +def _maybe_start_agent_span( + context_wrapper: "agents.RunContextWrapper", + agent: "agents.Agent", + should_run_agent_start_hooks: bool, + span_kwargs: "dict[str, Any]", + is_streaming: bool = False, +) -> "Optional[Span]": """ + Start an agent invocation span if conditions are met. + Handles ending any existing span for a different agent. - # Store original methods - original_run_single_turn = agents.run.AgentRunner._run_single_turn - original_run_single_turn_streamed = agents.run.AgentRunner._run_single_turn_streamed - original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs - original_execute_final_output = agents._run_impl.RunImpl.execute_final_output + Returns the new span if started, or the existing span if conditions aren't met. + """ + if not (should_run_agent_start_hooks and agent and context_wrapper): + return getattr(context_wrapper, "_sentry_agent_span", None) - def _has_active_agent_span(context_wrapper: "agents.RunContextWrapper") -> bool: - """Check if there's an active agent span for this context""" - return getattr(context_wrapper, "_sentry_current_agent", None) is not None - - def _get_current_agent( - context_wrapper: "agents.RunContextWrapper", - ) -> "Optional[agents.Agent]": - """Get the current agent from context wrapper""" - return getattr(context_wrapper, "_sentry_current_agent", None) - - def _close_streaming_workflow_span(agent: "Optional[agents.Agent]") -> None: - """Close the workflow span for streaming executions if it exists.""" - if agent and hasattr(agent, "_sentry_workflow_span"): - workflow_span = agent._sentry_workflow_span - workflow_span.__exit__(*sys.exc_info()) - delattr(agent, "_sentry_workflow_span") - - def _maybe_start_agent_span( - context_wrapper: "agents.RunContextWrapper", - agent: "agents.Agent", - should_run_agent_start_hooks: bool, - span_kwargs: "dict[str, Any]", - is_streaming: bool = False, - ) -> "Optional[Span]": - """ - Start an agent invocation span if conditions are met. - Handles ending any existing span for a different agent. + # 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) - Returns the new span if started, or the existing span if conditions aren't met. - """ - if not (should_run_agent_start_hooks and agent and context_wrapper): - return getattr(context_wrapper, "_sentry_agent_span", None) + # Store the agent on the context wrapper so we can access it later + context_wrapper._sentry_current_agent = agent + span = invoke_agent_span(context_wrapper, agent, span_kwargs) + context_wrapper._sentry_agent_span = span + agent._sentry_agent_span = span - # 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) + if is_streaming: + span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - # Store the agent on the context wrapper so we can access it later - context_wrapper._sentry_current_agent = agent - span = invoke_agent_span(context_wrapper, agent, span_kwargs) - context_wrapper._sentry_agent_span = span - agent._sentry_agent_span = span + return span - if is_streaming: - span.set_data(SPANDATA.GEN_AI_RESPONSE_STREAMING, True) - return span +async def _run_single_turn( + original_run_single_turn: "Callable[..., Awaitable[SingleStepResult]]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched _run_single_turn that + - creates agent invocation spans if there is no already active agent invocation span. + - ends the agent invocation span if and only if an exception is raised in `_run_single_turn()`. + """ + agent = kwargs.get("agent") + context_wrapper = kwargs.get("context_wrapper") + should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks", False) - @wraps( - original_run_single_turn.__func__ - if hasattr(original_run_single_turn, "__func__") - else original_run_single_turn + span = _maybe_start_agent_span( + context_wrapper, agent, should_run_agent_start_hooks, kwargs ) - async def patched_run_single_turn( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """ - Patched _run_single_turn that - - creates agent invocation spans if there is no already active agent invocation span. - - ends the agent invocation span if and only if an exception is raised in `_run_single_turn()`. - """ - agent = kwargs.get("agent") - context_wrapper = kwargs.get("context_wrapper") - should_run_agent_start_hooks = kwargs.get("should_run_agent_start_hooks", False) - span = _maybe_start_agent_span( - context_wrapper, agent, should_run_agent_start_hooks, kwargs - ) + 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()) - 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 - return result + +def _patch_agent_run() -> None: + """ + Patches AgentRunner methods to create agent invocation spans. + This directly patches the execution flow to track when agents start and stop. + """ + + # Store original methods + original_run_single_turn_streamed = agents.run.AgentRunner._run_single_turn_streamed + original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs + original_execute_final_output = agents._run_impl.RunImpl.execute_final_output @wraps( original_execute_handoffs.__func__ @@ -252,7 +255,6 @@ async def patched_run_single_turn_streamed( return result # Apply patches - agents.run.AgentRunner._run_single_turn = classmethod(patched_run_single_turn) agents.run.AgentRunner._run_single_turn_streamed = classmethod( patched_run_single_turn_streamed ) From bea608c3aa52295b3336af12f1dc6cfdf9c5cd5d Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 15:06:03 +0100 Subject: [PATCH 13/19] fix(openai-agents): Patch `run_single_turn_streamed()` functions following library refactor (#5451) `AgentRunner._run_single_turn_streamed()` was moved to `agents.run_internal.run_loop.run_single_turn_streamed()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 27 +++- .../openai_agents/patches/__init__.py | 2 +- .../openai_agents/patches/agent_run.py | 122 ++++++++---------- 3 files changed, 84 insertions(+), 67 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 2f0ac023e7..65358732d3 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -7,6 +7,7 @@ _get_model, _get_all_tools, _run_single_turn, + _run_single_turn_streamed, _create_run_wrapper, _create_run_streamed_wrapper, _patch_agent_run, @@ -78,7 +79,7 @@ class OpenAIAgentsIntegration(Integration): 3. In a loop, the agent repeatedly calls the Responses API, maintaining a conversation history that includes previous messages and tool results, which is passed to each call. - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `patches._get_model()`. - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. - - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patches._run_single_turn()` and `patched_run_single_turn_streamed()`. + - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patches._run_single_turn()` and `patches._run_single_turn_streamed()`. 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. Local tools are run based on the return value from the Responses API as a post-API call step in the above loop. @@ -128,6 +129,16 @@ async def new_wrapped_run_single_turn( agents.run.run_single_turn = new_wrapped_run_single_turn + @wraps(run_loop.run_single_turn_streamed) + async def new_wrapped_run_single_turn_streamed( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn_streamed( + run_loop.run_single_turn_streamed, *args, **kwargs + ) + + agents.run.run_single_turn_streamed = new_wrapped_run_single_turn_streamed + return original_get_all_tools = AgentRunner._get_all_tools @@ -163,3 +174,17 @@ async def old_wrapped_run_single_turn( agents.run.AgentRunner._run_single_turn = classmethod( old_wrapped_run_single_turn ) + + original_run_single_turn_streamed = AgentRunner._run_single_turn_streamed + + @wraps(AgentRunner._run_single_turn_streamed.__func__) + async def old_wrapped_run_single_turn_streamed( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _run_single_turn_streamed( + original_run_single_turn_streamed, *args, **kwargs + ) + + agents.run.AgentRunner._run_single_turn_streamed = classmethod( + old_wrapped_run_single_turn_streamed + ) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index d471a9f35c..0c06d96cc4 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,5 +1,5 @@ from .models import _get_model # noqa: F401 from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 -from .agent_run import _run_single_turn, _patch_agent_run # noqa: F401 +from .agent_run import _run_single_turn, _run_single_turn_streamed, _patch_agent_run # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index ae879ad9df..01812604e1 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -109,6 +109,63 @@ async def _run_single_turn( return result +async def _run_single_turn_streamed( + original_run_single_turn_streamed: "Callable[..., Awaitable[SingleStepResult]]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": + """ + Patched _run_single_turn_streamed that + - creates agent invocation spans for streaming if there is no already active agent invocation span. + - ends the agent invocation span if and only if `_run_single_turn_streamed()` raises an exception. + + Note: Unlike _run_single_turn which uses keyword-only arguments (*,), + _run_single_turn_streamed uses positional arguments. The call signature is: + _run_single_turn_streamed( + streamed_result, # args[0] + agent, # args[1] + hooks, # args[2] + context_wrapper, # args[3] + run_config, # args[4] + should_run_agent_start_hooks, # args[5] + tool_use_tracker, # args[6] + all_tools, # args[7] + server_conversation_tracker, # args[8] (optional) + ) + """ + streamed_result = args[0] if len(args) > 0 else kwargs.get("streamed_result") + agent = args[1] if len(args) > 1 else kwargs.get("agent") + context_wrapper = args[3] if len(args) > 3 else kwargs.get("context_wrapper") + should_run_agent_start_hooks = bool( + args[5] if len(args) > 5 else kwargs.get("should_run_agent_start_hooks", False) + ) + + span_kwargs: "dict[str, Any]" = {} + if streamed_result and hasattr(streamed_result, "input"): + span_kwargs["original_input"] = streamed_result.input + + span = _maybe_start_agent_span( + context_wrapper, + agent, + should_run_agent_start_hooks, + span_kwargs, + is_streaming=True, + ) + + try: + result = await original_run_single_turn_streamed(*args, **kwargs) + except Exception as exc: + exc_info = sys.exc_info() + with capture_internal_exceptions(): + if span is not None and span.timestamp is None: + _record_exception_on_span(span, exc) + end_invoke_agent_span(context_wrapper, agent) + _close_streaming_workflow_span(agent) + reraise(*exc_info) + + return result + + def _patch_agent_run() -> None: """ Patches AgentRunner methods to create agent invocation spans. @@ -116,7 +173,6 @@ def _patch_agent_run() -> None: """ # Store original methods - original_run_single_turn_streamed = agents.run.AgentRunner._run_single_turn_streamed original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs original_execute_final_output = agents._run_impl.RunImpl.execute_final_output @@ -193,71 +249,7 @@ async def patched_execute_final_output( return result - @wraps( - original_run_single_turn_streamed.__func__ - if hasattr(original_run_single_turn_streamed, "__func__") - else original_run_single_turn_streamed - ) - async def patched_run_single_turn_streamed( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """ - Patched _run_single_turn_streamed that - - creates agent invocation spans for streaming if there is no already active agent invocation span. - - ends the agent invocation span if and only if `_run_single_turn_streamed()` raises an exception. - - Note: Unlike _run_single_turn which uses keyword-only arguments (*,), - _run_single_turn_streamed uses positional arguments. The call signature is: - _run_single_turn_streamed( - streamed_result, # args[0] - agent, # args[1] - hooks, # args[2] - context_wrapper, # args[3] - run_config, # args[4] - should_run_agent_start_hooks, # args[5] - tool_use_tracker, # args[6] - all_tools, # args[7] - server_conversation_tracker, # args[8] (optional) - ) - """ - streamed_result = args[0] if len(args) > 0 else kwargs.get("streamed_result") - agent = args[1] if len(args) > 1 else kwargs.get("agent") - context_wrapper = args[3] if len(args) > 3 else kwargs.get("context_wrapper") - should_run_agent_start_hooks = bool( - args[5] - if len(args) > 5 - else kwargs.get("should_run_agent_start_hooks", False) - ) - - span_kwargs: "dict[str, Any]" = {} - if streamed_result and hasattr(streamed_result, "input"): - span_kwargs["original_input"] = streamed_result.input - - span = _maybe_start_agent_span( - context_wrapper, - agent, - should_run_agent_start_hooks, - span_kwargs, - is_streaming=True, - ) - - try: - result = await original_run_single_turn_streamed(*args, **kwargs) - except Exception as exc: - exc_info = sys.exc_info() - with capture_internal_exceptions(): - if span is not None and span.timestamp is None: - _record_exception_on_span(span, exc) - end_invoke_agent_span(context_wrapper, agent) - _close_streaming_workflow_span(agent) - reraise(*exc_info) - - return result - # Apply patches - agents.run.AgentRunner._run_single_turn_streamed = classmethod( - patched_run_single_turn_streamed - ) agents._run_impl.RunImpl.execute_handoffs = classmethod(patched_execute_handoffs) agents._run_impl.RunImpl.execute_final_output = classmethod( patched_execute_final_output From f71a60450afd1ce3cf299cde37731c53e9debf0a Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 15:18:21 +0100 Subject: [PATCH 14/19] fix(openai-agents): Patch `execute_handoffs()` functions following library refactor (#5452) `RunImpl.execute_handoffs()` was moved to `agents.run_internal.turn_resolution.execute_handoffs()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 32 +++++++- .../openai_agents/patches/__init__.py | 7 +- .../openai_agents/patches/agent_run.py | 80 +++++++++---------- 3 files changed, 74 insertions(+), 45 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 65358732d3..590fb48ddc 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -8,6 +8,7 @@ _get_all_tools, _run_single_turn, _run_single_turn_streamed, + _execute_handoffs, _create_run_wrapper, _create_run_streamed_wrapper, _patch_agent_run, @@ -32,10 +33,11 @@ try: # AgentRunner methods moved in v0.8 # https://github.com/openai/openai-agents-python/commit/3ce7c24d349b77bb750062b7e0e856d9ff48a5d5#diff-7470b3a5c5cbe2fcbb2703dc24f326f45a5819d853be2b1f395d122d278cd911 - from agents.run_internal import run_loop, turn_preparation + from agents.run_internal import run_loop, turn_preparation, turn_resolution except ImportError: run_loop = None turn_preparation = None + turn_resolution = None from typing import TYPE_CHECKING @@ -86,7 +88,7 @@ class OpenAIAgentsIntegration(Integration): Hosted MCP Tools are run as part of the Responses API call, and involve OpenAI reaching out to an external MCP server. An agent can handoff to another agent, also directed by the return value of the Responses API and run post-API call in the loop. Handoffs are a way to switch agent-wide configuration. - - Handoffs are executed by calling `RunImpl.execute_handoffs()`. The method is patched in `patched_execute_handoffs()` + - Handoffs are executed by calling `RunImpl.execute_handoffs()`. The method is patched with `patches._execute_handoffs()` """ identifier = "openai_agents" @@ -139,6 +141,20 @@ async def new_wrapped_run_single_turn_streamed( agents.run.run_single_turn_streamed = new_wrapped_run_single_turn_streamed + original_execute_handoffs = turn_resolution.execute_handoffs + + @wraps(original_execute_handoffs) + async def new_wrapped_execute_handoffs( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_handoffs( + original_execute_handoffs, *args, **kwargs + ) + + agents.run_internal.turn_resolution.execute_handoffs = ( + new_wrapped_execute_handoffs + ) + return original_get_all_tools = AgentRunner._get_all_tools @@ -188,3 +204,15 @@ async def old_wrapped_run_single_turn_streamed( agents.run.AgentRunner._run_single_turn_streamed = classmethod( old_wrapped_run_single_turn_streamed ) + + original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs + + @wraps(agents._run_impl.RunImpl.execute_handoffs.__func__) + async def old_wrapped_execute_handoffs( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_handoffs(original_execute_handoffs, *args, **kwargs) + + agents._run_impl.RunImpl.execute_handoffs = classmethod( + old_wrapped_execute_handoffs + ) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index 0c06d96cc4..ce2ba58d85 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -1,5 +1,10 @@ from .models import _get_model # noqa: F401 from .tools import _get_all_tools # noqa: F401 from .runner import _create_run_wrapper, _create_run_streamed_wrapper # noqa: F401 -from .agent_run import _run_single_turn, _run_single_turn_streamed, _patch_agent_run # noqa: F401 +from .agent_run import ( + _run_single_turn, + _run_single_turn_streamed, + _execute_handoffs, + _patch_agent_run, +) # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index 01812604e1..3c5fd6b623 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -166,55 +166,52 @@ async def _run_single_turn_streamed( return result -def _patch_agent_run() -> None: +async def _execute_handoffs( + original_execute_handoffs: "Callable[..., SingleStepResult]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": """ - Patches AgentRunner methods to create agent invocation spans. - This directly patches the execution flow to track when agents start and stop. + Patched execute_handoffs that + - creates and manages handoff spans. + - ends the agent invocation span. + - ends the workflow span if the response is streamed and an exception is raised in `execute_handoffs()`. """ - # Store original methods - original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs - original_execute_final_output = agents._run_impl.RunImpl.execute_final_output + context_wrapper = kwargs.get("context_wrapper") + run_handoffs = kwargs.get("run_handoffs") + agent = kwargs.get("agent") - @wraps( - original_execute_handoffs.__func__ - if hasattr(original_execute_handoffs, "__func__") - else original_execute_handoffs - ) - async def patched_execute_handoffs( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """ - Patched execute_handoffs that - - creates and manages handoff spans. - - ends the agent invocation span. - - ends the workflow span if the response is streamed and an exception is raised in `execute_handoffs()`. - """ + # Create Sentry handoff span for the first handoff (agents library only processes the first one) + if run_handoffs: + first_handoff = run_handoffs[0] + handoff_agent_name = first_handoff.handoff.agent_name + handoff_span(context_wrapper, agent, handoff_agent_name) - context_wrapper = kwargs.get("context_wrapper") - run_handoffs = kwargs.get("run_handoffs") - agent = kwargs.get("agent") + # Call original method with all parameters + try: + result = await original_execute_handoffs(*args, **kwargs) + except Exception: + exc_info = sys.exc_info() + with capture_internal_exceptions(): + _close_streaming_workflow_span(agent) + reraise(*exc_info) + finally: + # End span for current agent after handoff processing is complete + if agent and context_wrapper and _has_active_agent_span(context_wrapper): + end_invoke_agent_span(context_wrapper, agent) - # Create Sentry handoff span for the first handoff (agents library only processes the first one) - if run_handoffs: - first_handoff = run_handoffs[0] - handoff_agent_name = first_handoff.handoff.agent_name - handoff_span(context_wrapper, agent, handoff_agent_name) + return result - # Call original method with all parameters - try: - result = await original_execute_handoffs(*args, **kwargs) - except Exception: - exc_info = sys.exc_info() - with capture_internal_exceptions(): - _close_streaming_workflow_span(agent) - reraise(*exc_info) - finally: - # End span for current agent after handoff processing is complete - if agent and context_wrapper and _has_active_agent_span(context_wrapper): - end_invoke_agent_span(context_wrapper, agent) - return result +def _patch_agent_run() -> None: + """ + Patches AgentRunner methods to create agent invocation spans. + This directly patches the execution flow to track when agents start and stop. + """ + + # Store original methods + original_execute_final_output = agents._run_impl.RunImpl.execute_final_output @wraps( original_execute_final_output.__func__ @@ -250,7 +247,6 @@ async def patched_execute_final_output( return result # Apply patches - agents._run_impl.RunImpl.execute_handoffs = classmethod(patched_execute_handoffs) agents._run_impl.RunImpl.execute_final_output = classmethod( patched_execute_final_output ) From d3e2c88a9f5236b65ef367fc3ec6dffa6b6970ba Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 15:31:26 +0100 Subject: [PATCH 15/19] fix(openai-agents): Patch `execute_final_output()` functions following library refactor (#5453) `RunImpl.execute_final_output()` was moved to `agents.run_internal.turn_resolution.execute_final_output()`. Patch the new function by reusing existing wrapper logic. --- .../integrations/openai_agents/__init__.py | 35 +++++++++-- .../openai_agents/patches/__init__.py | 2 +- .../openai_agents/patches/agent_run.py | 63 +++++++------------ 3 files changed, 52 insertions(+), 48 deletions(-) diff --git a/sentry_sdk/integrations/openai_agents/__init__.py b/sentry_sdk/integrations/openai_agents/__init__.py index 590fb48ddc..4d778676ac 100644 --- a/sentry_sdk/integrations/openai_agents/__init__.py +++ b/sentry_sdk/integrations/openai_agents/__init__.py @@ -11,7 +11,7 @@ _execute_handoffs, _create_run_wrapper, _create_run_streamed_wrapper, - _patch_agent_run, + _execute_final_output, _patch_error_tracing, ) @@ -60,9 +60,6 @@ def _patch_runner() -> None: agents.run.DEFAULT_AGENT_RUNNER.run_streamed ) - # Creating the actual spans for each agent run (works for both streaming and non-streaming). - _patch_agent_run() - class OpenAIAgentsIntegration(Integration): """ @@ -82,7 +79,7 @@ class OpenAIAgentsIntegration(Integration): - A Model instance is created at the start of the loop by calling the `Runner._get_model()`. We patch the Model instance using `patches._get_model()`. - Available tools are also deteremined at the start of the loop, with `Runner._get_all_tools()`. We patch Tool instances by iterating through the returned tools in `patches._get_all_tools()`. - In each loop iteration, `run_single_turn()` or `run_single_turn_streamed()` is responsible for calling the Responses API, patched with `patches._run_single_turn()` and `patches._run_single_turn_streamed()`. - 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patched_execute_final_output()`. + 4. On loop termination, `RunImpl.execute_final_output()` is called. The function is patched with `patches._execute_final_output()`. Local tools are run based on the return value from the Responses API as a post-API call step in the above loop. Hosted MCP Tools are run as part of the Responses API call, and involve OpenAI reaching out to an external MCP server. @@ -155,6 +152,20 @@ async def new_wrapped_execute_handoffs( new_wrapped_execute_handoffs ) + original_execute_final_output = turn_resolution.execute_final_output + + @wraps(turn_resolution.execute_final_output) + async def new_wrapped_final_output( + *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_final_output( + original_execute_final_output, *args, **kwargs + ) + + agents.run_internal.turn_resolution.execute_final_output = ( + new_wrapped_final_output + ) + return original_get_all_tools = AgentRunner._get_all_tools @@ -216,3 +227,17 @@ async def old_wrapped_execute_handoffs( agents._run_impl.RunImpl.execute_handoffs = classmethod( old_wrapped_execute_handoffs ) + + original_execute_final_output = agents._run_impl.RunImpl.execute_final_output + + @wraps(agents._run_impl.RunImpl.execute_final_output.__func__) + async def old_wrapped_final_output( + cls: "agents.Runner", *args: "Any", **kwargs: "Any" + ) -> "SingleStepResult": + return await _execute_final_output( + original_execute_final_output, *args, **kwargs + ) + + agents._run_impl.RunImpl.execute_final_output = classmethod( + old_wrapped_final_output + ) diff --git a/sentry_sdk/integrations/openai_agents/patches/__init__.py b/sentry_sdk/integrations/openai_agents/patches/__init__.py index ce2ba58d85..e3be2776b3 100644 --- a/sentry_sdk/integrations/openai_agents/patches/__init__.py +++ b/sentry_sdk/integrations/openai_agents/patches/__init__.py @@ -5,6 +5,6 @@ _run_single_turn, _run_single_turn_streamed, _execute_handoffs, - _patch_agent_run, + _execute_final_output, ) # noqa: F401 from .error_tracing import _patch_error_tracing # noqa: F401 diff --git a/sentry_sdk/integrations/openai_agents/patches/agent_run.py b/sentry_sdk/integrations/openai_agents/patches/agent_run.py index 3c5fd6b623..a828532ab3 100644 --- a/sentry_sdk/integrations/openai_agents/patches/agent_run.py +++ b/sentry_sdk/integrations/openai_agents/patches/agent_run.py @@ -204,49 +204,28 @@ async def _execute_handoffs( return result -def _patch_agent_run() -> None: +async def _execute_final_output( + original_execute_final_output: "Callable[..., SingleStepResult]", + *args: "Any", + **kwargs: "Any", +) -> "SingleStepResult": """ - Patches AgentRunner methods to create agent invocation spans. - This directly patches the execution flow to track when agents start and stop. + Patched execute_final_output that + - ends the agent invocation span. + - ends the workflow span if the response is streamed. """ - # Store original methods - original_execute_final_output = agents._run_impl.RunImpl.execute_final_output + agent = kwargs.get("agent") + context_wrapper = kwargs.get("context_wrapper") + final_output = kwargs.get("final_output") - @wraps( - original_execute_final_output.__func__ - if hasattr(original_execute_final_output, "__func__") - else original_execute_final_output - ) - async def patched_execute_final_output( - cls: "agents.Runner", *args: "Any", **kwargs: "Any" - ) -> "Any": - """ - Patched execute_final_output that - - ends the agent invocation span. - - ends the workflow span if the response is streamed. - """ - - agent = kwargs.get("agent") - context_wrapper = kwargs.get("context_wrapper") - final_output = kwargs.get("final_output") - - try: - result = await original_execute_final_output(*args, **kwargs) - finally: - with capture_internal_exceptions(): - if ( - agent - and context_wrapper - and _has_active_agent_span(context_wrapper) - ): - end_invoke_agent_span(context_wrapper, agent, final_output) - # For streaming, close the workflow span (non-streaming uses context manager in _create_run_wrapper) - _close_streaming_workflow_span(agent) - - return result - - # Apply patches - agents._run_impl.RunImpl.execute_final_output = classmethod( - patched_execute_final_output - ) + try: + result = await original_execute_final_output(*args, **kwargs) + finally: + with capture_internal_exceptions(): + if agent and context_wrapper and _has_active_agent_span(context_wrapper): + end_invoke_agent_span(context_wrapper, agent, final_output) + # For streaming, close the workflow span (non-streaming uses context manager in _create_run_wrapper) + _close_streaming_workflow_span(agent) + + return result From 4d8faf347b109bb2c864b1a52a9080c33541be9e Mon Sep 17 00:00:00 2001 From: Alex Alderman Webb Date: Fri, 13 Feb 2026 15:55:05 +0100 Subject: [PATCH 16/19] test(openai-agents): New tool field and library error log (#5454) --- .../populate_tox/package_dependencies.jsonl | 28 +++++++++---------- scripts/populate_tox/releases.jsonl | 2 -- .../openai_agents/test_openai_agents.py | 23 +++++++++++++-- tox.ini | 12 ++++---- 4 files changed, 40 insertions(+), 25 deletions(-) diff --git a/scripts/populate_tox/package_dependencies.jsonl b/scripts/populate_tox/package_dependencies.jsonl index 0089ba0058..17ec3c78da 100644 --- a/scripts/populate_tox/package_dependencies.jsonl +++ b/scripts/populate_tox/package_dependencies.jsonl @@ -7,31 +7,31 @@ {"name": "django", "version": "6.0.2", "dependencies": [{"download_info": {"url": "https://files.pythonhosted.org/packages/96/ba/a6e2992bc5b8c688249c00ea48cb1b7a9bc09839328c81dc603671460928/django-6.0.2-py3-none-any.whl"}}, {"download_info": {"url": "https://files.pythonhosted.org/packages/5c/0a/a72d10ed65068e115044937873362e6e32fab1b7dce0046aeb224682c989/asgiref-3.11.1-py3-none-any.whl"}}, {"download_info": {"url": 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@@ -4,10 +4,12 @@ from unittest.mock import MagicMock, patch import os import json +import logging import sentry_sdk from sentry_sdk import start_span from sentry_sdk.consts import SPANDATA +from sentry_sdk.integrations.logging import LoggingIntegration from sentry_sdk.integrations.openai_agents import OpenAIAgentsIntegration from sentry_sdk.integrations.openai_agents.utils import _set_input_data, safe_serialize from sentry_sdk.utils import parse_version @@ -1196,6 +1198,12 @@ def simple_test_tool(message: str) -> str: {"tool_input_guardrails": None, "tool_output_guardrails": None} ) + if parse_version(OPENAI_AGENTS_VERSION) >= ( + 0, + 8, + ): + available_tools[0]["needs_approval"] = False + available_tools = safe_serialize(available_tools) assert transaction["transaction"] == "test_agent workflow" @@ -1561,7 +1569,10 @@ async def test_error_handling(sentry_init, capture_events, test_agent): mock_get_response.side_effect = Exception("Model Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, ) @@ -1609,7 +1620,10 @@ async def test_error_captures_input_data(sentry_init, capture_events, test_agent mock_get_response.side_effect = Exception("API Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, send_default_pii=True, ) @@ -1654,7 +1668,10 @@ async def test_span_status_error(sentry_init, capture_events, test_agent): mock_get_response.side_effect = ValueError("Model Error") sentry_init( - integrations=[OpenAIAgentsIntegration()], + integrations=[ + OpenAIAgentsIntegration(), + LoggingIntegration(event_level=logging.CRITICAL), + ], traces_sample_rate=1.0, ) diff --git a/tox.ini b/tox.ini index 5a141f6b0e..ce90c9c91b 100644 --- a/tox.ini +++ b/tox.ini @@ -70,9 +70,9 @@ envlist = # ~~~ 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-v0.7.0 + {py3.10,py3.12,py3.13}-openai_agents-v0.3.3 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.6.9 + {py3.10,py3.13,py3.14,py3.14t}-openai_agents-v0.8.4 {py3.10,py3.12,py3.13}-pydantic_ai-v1.0.18 {py3.10,py3.12,py3.13}-pydantic_ai-v1.19.0 @@ -397,9 +397,9 @@ deps = # ~~~ 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-v0.7.0: openai-agents==0.7.0 + openai_agents-v0.3.3: openai-agents==0.3.3 + openai_agents-v0.6.9: openai-agents==0.6.9 + openai_agents-v0.8.4: openai-agents==0.8.4 openai_agents: pytest-asyncio pydantic_ai-v1.0.18: pydantic-ai==1.0.18 From 45379e206c992d5f5ab782b1e13dc609cedbdd5f Mon Sep 17 00:00:00 2001 From: alexander-alderman-webb <224035503+alexander-alderman-webb@users.noreply.github.com> Date: Mon, 16 Feb 2026 10:47:37 +0000 Subject: [PATCH 17/19] release: 2.53.0 --- CHANGELOG.md | 35 +++++++++++++++++++++++++++++++++++ docs/conf.py | 2 +- sentry_sdk/consts.py | 2 +- setup.py | 2 +- 4 files changed, 38 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index edefd4782a..5472023179 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,40 @@ # Changelog +## 2.53.0 + +### Bug Fixes 🐛 + +#### Openai Agents + +- Patch `execute_final_output()` functions following library refactor by @alexander-alderman-webb in [#5453](https://github.com/getsentry/sentry-python/pull/5453) +- Patch `execute_handoffs()` functions following library refactor by @alexander-alderman-webb in [#5452](https://github.com/getsentry/sentry-python/pull/5452) +- Patch `run_single_turn_streamed()` functions following library refactor by @alexander-alderman-webb in [#5451](https://github.com/getsentry/sentry-python/pull/5451) +- Patch `run_single_turn()` functions following library refactor by @alexander-alderman-webb in [#5450](https://github.com/getsentry/sentry-python/pull/5450) +- Patch models functions following library refactor by @alexander-alderman-webb in [#5449](https://github.com/getsentry/sentry-python/pull/5449) +- Patch tool functions following library refactor by @alexander-alderman-webb in [#5445](https://github.com/getsentry/sentry-python/pull/5445) + +#### Other + +- (celery) Close the connection we're reading driver_type from by @sentrivana in [#5427](https://github.com/getsentry/sentry-python/pull/5427) + +### Documentation 📚 + +- Document `openai-agents` control-flow by @alexander-alderman-webb in [#5447](https://github.com/getsentry/sentry-python/pull/5447) + +### Internal Changes 🔧 + +#### Openai Agents + +- New tool field and library error log by @alexander-alderman-webb in [#5454](https://github.com/getsentry/sentry-python/pull/5454) +- Avoid calling SDK-internal functions by @alexander-alderman-webb in [#5437](https://github.com/getsentry/sentry-python/pull/5437) + +#### Other + +- (ci) Improve Craft config with title stripping and artifact filtering by @BYK in [#5444](https://github.com/getsentry/sentry-python/pull/5444) +- Use fixed clickhouse action, remove aws-sam-cli dependency by @sentrivana in [#5457](https://github.com/getsentry/sentry-python/pull/5457) +- Remove references to unsupported attribute types by @alexander-alderman-webb in [#5425](https://github.com/getsentry/sentry-python/pull/5425) +- Pin setuptools for linting and chalice tests by @alexander-alderman-webb in [#5438](https://github.com/getsentry/sentry-python/pull/5438) + ## 2.52.0 ### New Features ✨ diff --git a/docs/conf.py b/docs/conf.py index ef2de1477c..d74a0c4d38 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -31,7 +31,7 @@ copyright = "2019-{}, Sentry Team and Contributors".format(datetime.now().year) author = "Sentry Team and Contributors" -release = "2.52.0" +release = "2.53.0" version = ".".join(release.split(".")[:2]) # The short X.Y version. diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py index 6eaa1edccf..e54e42625c 100644 --- a/sentry_sdk/consts.py +++ b/sentry_sdk/consts.py @@ -1490,4 +1490,4 @@ def _get_default_options() -> "dict[str, Any]": del _get_default_options -VERSION = "2.52.0" +VERSION = "2.53.0" diff --git a/setup.py b/setup.py index 1ffe8c3165..5bd3c4ae01 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ def get_file_text(file_name): setup( name="sentry-sdk", - version="2.52.0", + version="2.53.0", author="Sentry Team and Contributors", author_email="hello@sentry.io", url="https://github.com/getsentry/sentry-python", From b700fa85d8d722891ad84cefaec73a9aeeaafa16 Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Mon, 16 Feb 2026 12:03:25 +0100 Subject: [PATCH 18/19] Update CHANGELOG.md --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 5472023179..7b0ab9247a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -30,7 +30,7 @@ #### Other -- (ci) Improve Craft config with title stripping and artifact filtering by @BYK in [#5444](https://github.com/getsentry/sentry-python/pull/5444) +- Improve Craft config with title stripping and artifact filtering by @BYK in [#5444](https://github.com/getsentry/sentry-python/pull/5444) - Use fixed clickhouse action, remove aws-sam-cli dependency by @sentrivana in [#5457](https://github.com/getsentry/sentry-python/pull/5457) - Remove references to unsupported attribute types by @alexander-alderman-webb in [#5425](https://github.com/getsentry/sentry-python/pull/5425) - Pin setuptools for linting and chalice tests by @alexander-alderman-webb in [#5438](https://github.com/getsentry/sentry-python/pull/5438) From f75a9ac1059b648644c05189deffd3c7ddc0931a Mon Sep 17 00:00:00 2001 From: Alexander Alderman Webb Date: Mon, 16 Feb 2026 12:04:25 +0100 Subject: [PATCH 19/19] Update CHANGELOG.md --- CHANGELOG.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 7b0ab9247a..6dbc3bab9c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -15,7 +15,7 @@ #### Other -- (celery) Close the connection we're reading driver_type from by @sentrivana in [#5427](https://github.com/getsentry/sentry-python/pull/5427) +- Close the connection we're reading driver_type from by @sentrivana in [#5427](https://github.com/getsentry/sentry-python/pull/5427) ### Documentation 📚