feat(openai-agents): Set system instruction attribute

sentry_sdk/consts.py

@@ -542,6 +542,12 @@ class SPANDATA:
     Example: 2048
     """
 
+    GEN_AI_SYSTEM_INSTRUCTIONS = "gen_ai.system_instructions"
+    """
+    The system instructions passed to the model.
+    Example: [{"type": "text", "text": "You are a helpful assistant."},{"type": "text", "text": "Be concise and clear."}]
+    """
+
     GEN_AI_REQUEST_MESSAGES = "gen_ai.request.messages"
     """
     The messages passed to the model. The "content" can be a string or an array of objects.

sentry_sdk/integrations/openai_agents/spans/invoke_agent.py

@@ -40,11 +40,8 @@ def invoke_agent_span(
                 if isinstance(agent.instructions, str)
                 else safe_serialize(agent.instructions)
             )
-            messages.append(
-                {
-                    "content": [{"text": message, "type": "text"}],
-                    "role": "system",
-                }
+            set_data_normalized(
+                span, SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS, message, unpack=False
             )
 
         original_input = kwargs.get("original_input")

tests/integrations/openai_agents/test_openai_agents.py

@@ -187,14 +187,12 @@ 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"][SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS]
+        == "You are a helpful test assistant."
+    )
     assert invoke_agent_span["data"]["gen_ai.request.messages"] == safe_serialize(
         [
-            {
-                "content": [
-                    {"text": "You are a helpful test assistant.", "type": "text"}
-                ],
-                "role": "system",
-            },
             {"content": [{"text": "Test input", "type": "text"}], "role": "user"},
         ]
     )