Add input and output to invoke_agent span.

sentry_sdk/integrations/openai_agents/patches/agent_run.py

@@ -26,12 +26,12 @@ def _patch_agent_run():
     original_execute_handoffs = agents._run_impl.RunImpl.execute_handoffs
     original_execute_final_output = agents._run_impl.RunImpl.execute_final_output
 
-    def _start_invoke_agent_span(context_wrapper, agent):
-        # type: (agents.RunContextWrapper, agents.Agent) -> None
+    def _start_invoke_agent_span(context_wrapper, agent, kwargs):
+        # type: (agents.RunContextWrapper, agents.Agent, dict[str, Any]) -> None
         """Start an agent invocation span"""
         # Store the agent on the context wrapper so we can access it later
         context_wrapper._sentry_current_agent = agent
-        invoke_agent_span(context_wrapper, agent)
+        invoke_agent_span(context_wrapper, agent, kwargs)
 
     def _end_invoke_agent_span(context_wrapper, agent, output=None):
         # type: (agents.RunContextWrapper, agents.Agent, Optional[Any]) -> None
@@ -72,7 +72,7 @@ async def patched_run_single_turn(cls, *args, **kwargs):
                 if current_agent and current_agent != agent:
                     _end_invoke_agent_span(context_wrapper, current_agent)
 
-            _start_invoke_agent_span(context_wrapper, agent)
+            _start_invoke_agent_span(context_wrapper, agent, kwargs)
 
         # Call original method with all the correct parameters
         result = await original_run_single_turn(*args, **kwargs)

sentry_sdk/integrations/openai_agents/spans/invoke_agent.py

@@ -1,5 +1,7 @@
 import sentry_sdk
+from sentry_sdk.ai.utils import set_data_normalized
 from sentry_sdk.consts import OP, SPANDATA
+from sentry_sdk.scope import should_send_default_pii
 
 from ..consts import SPAN_ORIGIN
 from ..utils import _set_agent_data
@@ -11,8 +13,8 @@
     from typing import Any
 
 
-def invoke_agent_span(context, agent):
-    # type: (agents.RunContextWrapper, agents.Agent) -> sentry_sdk.tracing.Span
+def invoke_agent_span(context, agent, kwargs):
+    # type: (agents.RunContextWrapper, agents.Agent, dict[str, Any]) -> sentry_sdk.tracing.Span
     span = sentry_sdk.start_span(
         op=OP.GEN_AI_INVOKE_AGENT,
         name=f"invoke_agent {agent.name}",
@@ -22,13 +24,42 @@ def invoke_agent_span(context, agent):
 
     span.set_data(SPANDATA.GEN_AI_OPERATION_NAME, "invoke_agent")
 
+    if should_send_default_pii():
+        messages = []
+        if agent.instructions:
+            messages.append(
+                {
+                    "content": [{"text": agent.instructions, "type": "text"}],
+                    "role": "system",
+                }
+            )
+
+        if "original_input" in kwargs and kwargs["original_input"] is not None:
+            messages.append(
+                {
+                    "content": [{"text": kwargs["original_input"], "type": "text"}],
+                    "role": "user",
+                }
+            )
+
+        if len(messages) > 0:
+            set_data_normalized(
+                span, SPANDATA.GEN_AI_REQUEST_MESSAGES, messages, unpack=False
+            )
+
     _set_agent_data(span, agent)
 
     return span
 
 
 def update_invoke_agent_span(context, agent, output):
     # type: (agents.RunContextWrapper, agents.Agent, Any) -> None
-    current_span = sentry_sdk.get_current_span()
-    if current_span:
-        current_span.__exit__(None, None, None)
+    span = sentry_sdk.get_current_span()
+
+    if span:
+        if should_send_default_pii():
+            set_data_normalized(
+                span, SPANDATA.GEN_AI_RESPONSE_TEXT, output, unpack=False
+            )
+
+        span.__exit__(None, None, None)

tests/integrations/openai_agents/test_openai_agents.py

@@ -115,6 +115,7 @@ async def test_agent_invocation_span(
             sentry_init(
                 integrations=[OpenAIAgentsIntegration()],
                 traces_sample_rate=1.0,
+                send_default_pii=True,
             )
 
             events = capture_events()
@@ -134,6 +135,14 @@ async def test_agent_invocation_span(
     assert transaction["contexts"]["trace"]["origin"] == "auto.ai.openai_agents"
 
     assert invoke_agent_span["description"] == "invoke_agent test_agent"
+    assert (
+        invoke_agent_span["data"]["gen_ai.request.messages"]
+        == '[{"content": [{"text": "You are a helpful test assistant.", "type": "text"}], "role": "system"}, {"content": [{"text": "Test input", "type": "text"}], "role": "user"}]'
+    )
+    assert (
+        invoke_agent_span["data"]["gen_ai.response.text"]
+        == "Hello, how can I help you?"
+    )
     assert invoke_agent_span["data"]["gen_ai.operation.name"] == "invoke_agent"
     assert invoke_agent_span["data"]["gen_ai.system"] == "openai"
     assert invoke_agent_span["data"]["gen_ai.agent.name"] == "test_agent"