feat(integration): add gen_ai.conversation.id if available

sentry_sdk/consts.py

@@ -465,6 +465,12 @@ class SPANDATA:
     Example: "ResearchAssistant"
     """
 
+    GEN_AI_CONVERSATION_ID = "gen_ai.conversation.id"
+    """
+    The unique identifier for the conversation/thread with the AI model.
+    Example: "conv_abc123"
+    """
+
     GEN_AI_CHOICE = "gen_ai.choice"
     """
     The model's response message.

sentry_sdk/integrations/openai_agents/patches/models.py

@@ -125,7 +125,7 @@ async def wrapped_get_response(*args: "Any", **kwargs: "Any") -> "Any":
                     delattr(agent, "_sentry_response_model")
 
                 _set_response_model_on_agent_span(agent, response_model)
-                update_ai_client_span(span, result, response_model)
+                update_ai_client_span(span, result, response_model, agent)
 
             return result
 
@@ -176,7 +176,9 @@ async def wrapped_stream_response(*args: "Any", **kwargs: "Any") -> "Any":
                             else None
                         )
                         _set_response_model_on_agent_span(agent, response_model)
-                        update_ai_client_span(span, streaming_response)
+                        update_ai_client_span(
+                            span, streaming_response, response_model, agent
+                        )
 
             model.stream_response = wrapped_stream_response
 

sentry_sdk/integrations/openai_agents/patches/runner.py

@@ -2,6 +2,7 @@
 from functools import wraps
 
 import sentry_sdk
+from sentry_sdk.consts import SPANDATA
 from sentry_sdk.integrations import DidNotEnable
 from sentry_sdk.utils import capture_internal_exceptions, reraise
 
@@ -34,7 +35,16 @@ async def wrapper(*args: "Any", **kwargs: "Any") -> "Any":
         with sentry_sdk.isolation_scope():
             # Clone agent because agent invocation spans are attached per run.
             agent = args[0].clone()
-            with agent_workflow_span(agent):
+
+            with agent_workflow_span(agent) as workflow_span:
+                # Set conversation ID on workflow span early so it's captured even on errors
+                conversation_id = kwargs.get("conversation_id")
+                if conversation_id:
+                    agent._sentry_conversation_id = conversation_id
+                    workflow_span.set_data(
+                        SPANDATA.GEN_AI_CONVERSATION_ID, conversation_id
+                    )
+
                 args = (agent, *args[1:])
                 try:
                     run_result = await original_func(*args, **kwargs)
@@ -91,10 +101,19 @@ def wrapper(*args: "Any", **kwargs: "Any") -> "Any":
         # Clone agent because agent invocation spans are attached per run.
         agent = args[0].clone()
 
+        # Capture conversation_id from kwargs if provided
+        conversation_id = kwargs.get("conversation_id")
+        if conversation_id:
+            agent._sentry_conversation_id = conversation_id
+
         # Start workflow span immediately (before run_streamed returns)
         workflow_span = agent_workflow_span(agent)
         workflow_span.__enter__()
 
+        # Set conversation ID on workflow span early so it's captured even on errors
+        if conversation_id:
+            workflow_span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conversation_id)
+
         # Store span on agent for cleanup
         agent._sentry_workflow_span = workflow_span
 

sentry_sdk/integrations/openai_agents/spans/ai_client.py

@@ -46,6 +46,7 @@ def update_ai_client_span(
     span: "sentry_sdk.tracing.Span",
     response: "Any",
     response_model: "Optional[str]" = None,
+    agent: "Optional[Agent]" = None,
 ) -> None:
     """Update AI client span with response data (works for streaming and non-streaming)."""
     if hasattr(response, "usage") and response.usage:
@@ -59,3 +60,9 @@ def update_ai_client_span(
         span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, response_model)
     elif hasattr(response, "model") and response.model:
         span.set_data(SPANDATA.GEN_AI_RESPONSE_MODEL, str(response.model))
+
+    # Set conversation ID from agent if available
+    if agent:
+        conv_id = getattr(agent, "_sentry_conversation_id", None)
+        if conv_id:
+            span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)

sentry_sdk/integrations/openai_agents/spans/execute_tool.py

@@ -51,3 +51,8 @@ def update_execute_tool_span(
 
     if should_send_default_pii():
         span.set_data(SPANDATA.GEN_AI_TOOL_OUTPUT, result)
+
+    # Add conversation ID from agent
+    conv_id = getattr(agent, "_sentry_conversation_id", None)
+    if conv_id:
+        span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)

sentry_sdk/integrations/openai_agents/spans/handoff.py

@@ -18,3 +18,8 @@ def handoff_span(
         origin=SPAN_ORIGIN,
     ) as span:
         span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "handoff")
+
+        # Add conversation ID from agent
+        conv_id = getattr(from_agent, "_sentry_conversation_id", None)
+        if conv_id:
+            span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)

sentry_sdk/integrations/openai_agents/spans/invoke_agent.py

@@ -95,6 +95,11 @@ def update_invoke_agent_span(
                 span, SPANDATA.GEN_AI_RESPONSE_TEXT, output, unpack=False
             )
 
+        # Add conversation ID from agent
+        conv_id = getattr(agent, "_sentry_conversation_id", None)
+        if conv_id:
+            span.set_data(SPANDATA.GEN_AI_CONVERSATION_ID, conv_id)
+
         span.__exit__(None, None, None)
         delattr(context, "_sentry_agent_span")
 

tests/integrations/openai_agents/test_openai_agents.py

@@ -2710,3 +2710,194 @@ def mock_get_model(agent, run_config):
 
         # Verify streaming flag is set
         assert chat_span._data.get(SPANDATA.GEN_AI_RESPONSE_STREAMING) is True
+
+
+@pytest.mark.skipif(
+    parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0),
+    reason="conversation_id support requires openai-agents >= 0.4.0",
+)
+@pytest.mark.asyncio
+async def test_conversation_id_on_all_spans(
+    sentry_init, capture_events, test_agent, mock_model_response
+):
+    """
+    Test that gen_ai.conversation.id is set on all AI-related spans when passed to Runner.run().
+    """
+
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        with patch(
+            "agents.models.openai_responses.OpenAIResponsesModel.get_response"
+        ) as mock_get_response:
+            mock_get_response.return_value = mock_model_response
+
+            sentry_init(
+                integrations=[OpenAIAgentsIntegration()],
+                traces_sample_rate=1.0,
+            )
+
+            events = capture_events()
+
+            result = await agents.Runner.run(
+                test_agent,
+                "Test input",
+                run_config=test_run_config,
+                conversation_id="conv_test_123",
+            )
+
+            assert result is not None
+
+    (transaction,) = events
+    spans = transaction["spans"]
+    invoke_agent_span, ai_client_span = spans
+
+    # Verify workflow span (transaction) has conversation_id
+    assert (
+        transaction["contexts"]["trace"]["data"]["gen_ai.conversation.id"]
+        == "conv_test_123"
+    )
+
+    # Verify invoke_agent span has conversation_id
+    assert invoke_agent_span["data"]["gen_ai.conversation.id"] == "conv_test_123"
+
+    # Verify ai_client span has conversation_id
+    assert ai_client_span["data"]["gen_ai.conversation.id"] == "conv_test_123"
+
+
+@pytest.mark.skipif(
+    parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0),
+    reason="conversation_id support requires openai-agents >= 0.4.0",
+)
+@pytest.mark.asyncio
+async def test_conversation_id_on_tool_span(sentry_init, capture_events, test_agent):
+    """
+    Test that gen_ai.conversation.id is set on tool execution spans when passed to Runner.run().
+    """
+
+    @agents.function_tool
+    def simple_tool(message: str) -> str:
+        """A simple tool"""
+        return f"Result: {message}"
+
+    agent_with_tool = test_agent.clone(tools=[simple_tool])
+
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        with patch(
+            "agents.models.openai_responses.OpenAIResponsesModel.get_response"
+        ) as mock_get_response:
+            tool_call = ResponseFunctionToolCall(
+                id="call_123",
+                call_id="call_123",
+                name="simple_tool",
+                type="function_call",
+                arguments='{"message": "hello"}',
+            )
+
+            tool_response = ModelResponse(
+                output=[tool_call],
+                usage=Usage(
+                    requests=1, input_tokens=10, output_tokens=5, total_tokens=15
+                ),
+                response_id="resp_tool_456",
+            )
+
+            final_response = ModelResponse(
+                output=[
+                    ResponseOutputMessage(
+                        id="msg_final",
+                        type="message",
+                        status="completed",
+                        content=[
+                            ResponseOutputText(
+                                text="Done",
+                                type="output_text",
+                                annotations=[],
+                            )
+                        ],
+                        role="assistant",
+                    )
+                ],
+                usage=Usage(
+                    requests=1, input_tokens=15, output_tokens=10, total_tokens=25
+                ),
+                response_id="resp_final_789",
+            )
+
+            mock_get_response.side_effect = [tool_response, final_response]
+
+            sentry_init(
+                integrations=[OpenAIAgentsIntegration()],
+                traces_sample_rate=1.0,
+            )
+
+            events = capture_events()
+
+            await agents.Runner.run(
+                agent_with_tool,
+                "Use the tool",
+                run_config=test_run_config,
+                conversation_id="conv_tool_test_456",
+            )
+
+    (transaction,) = events
+    spans = transaction["spans"]
+
+    # Find the tool span
+    tool_span = None
+    for span in spans:
+        if span.get("description", "").startswith("execute_tool"):
+            tool_span = span
+            break
+
+    assert tool_span is not None
+    # Tool span should have the conversation_id passed to Runner.run()
+    assert tool_span["data"]["gen_ai.conversation.id"] == "conv_tool_test_456"
+
+    # Workflow span (transaction) should have the same conversation_id
+    assert (
+        transaction["contexts"]["trace"]["data"]["gen_ai.conversation.id"]
+        == "conv_tool_test_456"
+    )
+
+
+@pytest.mark.skipif(
+    parse_version(OPENAI_AGENTS_VERSION) < (0, 4, 0),
+    reason="conversation_id support requires openai-agents >= 0.4.0",
+)
+@pytest.mark.asyncio
+async def test_no_conversation_id_when_not_provided(
+    sentry_init, capture_events, test_agent, mock_model_response
+):
+    """
+    Test that gen_ai.conversation.id is not set when not passed to Runner.run().
+    """
+
+    with patch.dict(os.environ, {"OPENAI_API_KEY": "test-key"}):
+        with patch(
+            "agents.models.openai_responses.OpenAIResponsesModel.get_response"
+        ) as mock_get_response:
+            mock_get_response.return_value = mock_model_response
+
+            sentry_init(
+                integrations=[OpenAIAgentsIntegration()],
+                traces_sample_rate=1.0,
+            )
+
+            events = capture_events()
+
+            # Don't pass conversation_id
+            result = await agents.Runner.run(
+                test_agent, "Test input", run_config=test_run_config
+            )
+
+            assert result is not None
+
+    (transaction,) = events
+    spans = transaction["spans"]
+    invoke_agent_span, ai_client_span = spans
+
+    # Verify conversation_id is NOT set on any spans
+    assert "gen_ai.conversation.id" not in transaction["contexts"]["trace"].get(
+        "data", {}
+    )
+    assert "gen_ai.conversation.id" not in invoke_agent_span.get("data", {})
+    assert "gen_ai.conversation.id" not in ai_client_span.get("data", {})