(full disclosure; ticket was created by @claude Code, thought I have personally verified the reproduction code. Using the AsyncioIntegration and OpenAIAgentsIntegration in unison generates at least the transaction error)

Bug Description

AttributeError: 'Transaction/Profile/Span' object has no attribute '_context_manager_state' occurs when using OpenAIAgentsIntegration with AsyncioIntegration when exceptions occur during agent execution.

Critical Finding: The error only occurs when AsyncioIntegration is enabled. Commenting it out prevents the error entirely, suggesting an interaction issue between these two integrations.

Environment

• sentry-sdk: 2.37.0 (latest)
• openai-agents: 0.2.8
• Python: 3.11
• Integrations: AsyncioIntegration() + OpenAIAgentsIntegration()

Error Messages

When both integrations are enabled and an exception occurs during agent execution:

Error 1: Profile

[sentry] ERROR: Internal error in sentry_sdk
Traceback (most recent call last):
  File "sentry_sdk/profiler/transaction_profiler.py", line 376, in __exit__
    scope, old_profile = self._context_manager_state
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Profile' object has no attribute '_context_manager_state'

Error 2: Transaction

[sentry] ERROR: Internal error in sentry_sdk
Traceback (most recent call last):
  File "sentry_sdk/tracing.py", line 423, in __exit__
    scope, old_span = self._context_manager_state
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Transaction' object has no attribute '_context_manager_state'

Error 3: Span (production)

[sentry] ERROR: Internal error in sentry_sdk
Traceback (most recent call last):
  File "sentry_sdk/tracing.py", line 415, in __exit__
    scope, old_span = self._context_manager_state
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'Span' object has no attribute '_context_manager_state'

Root Cause

The issue appears to be in sentry_sdk/integrations/openai_agents/patches/runner.py at line 41:

def _create_run_wrapper(original_func):
    @wraps(original_func)
    async def wrapper(*args, **kwargs):
        with sentry_sdk.isolation_scope():
            agent = args[0]
            with agent_workflow_span(agent):
                result = None
                try:
                    result = await original_func(*args, **kwargs)
                    return result
                except Exception as exc:
                    _capture_exception(exc)

                    # BUG HERE - Line 41
                    current_span = sentry_sdk.get_current_span()
                    if current_span is not None and current_span.timestamp is None:
                        current_span.__exit__(None, None, None)  # ❌ Wrong!

                    raise exc from None

    return wrapper

The code calls __exit__ directly on a span without ensuring it was used as a context manager. The _context_manager_state attribute is only set by __enter__ (see tracing.py:414).

However, this error only manifests when AsyncioIntegration is also enabled. When AsyncioIntegration is commented out, the error does not occur, suggesting the two integrations have problematic interaction in async contexts.

Minimal Reproduction

#!/usr/bin/env python
import asyncio
import os
import sys

import sentry_sdk
from agents import Agent, Runner
from sentry_sdk.integrations.asyncio import AsyncioIntegration
from sentry_sdk.integrations.openai_agents import OpenAIAgentsIntegration
from agents.tool import function_tool


async def main():
    sentry_sdk.init(
        dsn=os.getenv("SENTRY_DSN"),
        environment="bug-reproduction",
        enable_logs=True,
        sample_rate=1.0,
        traces_sample_rate=1.0,
        debug=True,
        integrations=[
            AsyncioIntegration(),      # ← Bug only occurs WITH this
            OpenAIAgentsIntegration(),
        ],
    )

    @function_tool
    async def broken_tool() -> str:
        """A tool that always fails."""
        raise RuntimeError("Intentional error to trigger bug")

    agent = Agent(
        name="Bug Reproduction Agent",
        instructions="You are a test agent. Always use the broken_tool.",
        tools=[broken_tool],
        model="gpt-4o-mini",
    )

    result = await Runner.run(
        starting_agent=agent,
        input="Please use the broken_tool",
        max_turns=3,
    )
    print(f"[RESULT] {result.final_output}")


if __name__ == "__main__":
    asyncio.run(main())

Reproduction Steps

1. Install dependencies: pip install sentry-sdk openai-agents
2. Set SENTRY_DSN and OPENAI_API_KEY environment variables
3. Run the script above
4. Observe the AttributeError in debug output
5. Comment out AsyncioIntegration() and re-run - error disappears

Impact

Severity: HIGH

• ✅ Confirmed in production - Multiple users experiencing this
• ❌ AI calls not logged in Sentry - Telemetry data is lost
• ❌ Silent failures - Errors swallowed by capture_internal_exceptions()
• ❌ Affects all async agent workflows that encounter errors

This makes the OpenAIAgentsIntegration unusable in production when combined with AsyncioIntegration, which is commonly needed for async Python applications.

Workaround

Temporarily disable AsyncioIntegration:

sentry_sdk.init(
    dsn=SENTRY_DSN,
    integrations=[
        # AsyncioIntegration(),  # ← Comment out to avoid bug
        OpenAIAgentsIntegration(),
    ],
)

However, this loses valuable async tracing capabilities.

Proposed Fix

The fix should address why AsyncioIntegration causes spans to be accessed without proper context manager initialization. Possible approaches:

1. Check for _context_manager_state before calling __exit__:

   if hasattr(current_span, '_context_manager_state'):
       current_span.__exit__(None, None, None)
   else:
       current_span.finish()

2. Always use finish() instead of __exit__:

   current_span.finish()

3. Investigate AsyncioIntegration interaction - Why does it cause spans to be in an invalid state?

Additional Notes

• The error is logged but swallowed, so it doesn't crash the application
• However, it prevents telemetry data from being sent to Sentry
• The bug is timing-sensitive and only occurs when exceptions happen during agent tool execution
• Production environments with error-prone tools will trigger this constantly