diff --git a/sentry_sdk/_types.py b/sentry_sdk/_types.py
index 7043bbc2ee..ecb8abcd10 100644
--- a/sentry_sdk/_types.py
+++ b/sentry_sdk/_types.py
@@ -359,3 +359,7 @@ class SDKInfo(TypedDict):
     )
 
     HttpStatusCodeRange = Union[int, Container[int]]
+
+    class TextPart(TypedDict):
+        type: Literal["text"]
+        content: str
diff --git a/sentry_sdk/consts.py b/sentry_sdk/consts.py
index 93fca6ba3e..4b61a317fb 100644
--- a/sentry_sdk/consts.py
+++ b/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.
diff --git a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py
index c3a3a04dc9..fc9c9d4b00 100644
--- a/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py
+++ b/sentry_sdk/integrations/openai_agents/spans/invoke_agent.py
@@ -18,6 +18,17 @@
     import agents
     from typing import Any, Optional
 
+    from sentry_sdk._types import TextPart
+
+
+def _transform_system_instruction(system_instructions: "str") -> "list[TextPart]":
+    return [
+        {
+            "type": "text",
+            "content": system_instructions,
+        }
+    ]
+
 
 def invoke_agent_span(
     context: "agents.RunContextWrapper", agent: "agents.Agent", kwargs: "dict[str, Any]"
@@ -35,16 +46,16 @@ def invoke_agent_span(
     if should_send_default_pii():
         messages = []
         if agent.instructions:
-            message = (
+            system_instruction = (
                 agent.instructions
                 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,
+                _transform_system_instruction(system_instruction),
+                unpack=False,
             )
 
         original_input = kwargs.get("original_input")
diff --git a/tests/integrations/openai_agents/test_openai_agents.py b/tests/integrations/openai_agents/test_openai_agents.py
index 9d463f8de5..a3ae50d5f1 100644
--- a/tests/integrations/openai_agents/test_openai_agents.py
+++ b/tests/integrations/openai_agents/test_openai_agents.py
@@ -151,8 +151,12 @@ def test_agent_custom_model():
 
 
 @pytest.mark.asyncio
+@pytest.mark.parametrize(
+    "send_default_pii",
+    (True, False),
+)
 async def test_agent_invocation_span(
-    sentry_init, capture_events, test_agent, mock_model_response
+    sentry_init, capture_events, test_agent, mock_model_response, send_default_pii
 ):
     """
     Test that the integration creates spans for agent invocations.
@@ -167,7 +171,7 @@ async def test_agent_invocation_span(
             sentry_init(
                 integrations=[OpenAIAgentsIntegration()],
                 traces_sample_rate=1.0,
-                send_default_pii=True,
+                send_default_pii=send_default_pii,
             )
 
             events = capture_events()
@@ -187,21 +191,27 @@ 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"] == safe_serialize(
-        [
-            {
-                "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?"
-    )
+
+    if send_default_pii:
+        assert invoke_agent_span["data"][
+            SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS
+        ] == safe_serialize(
+            [{"type": "text", "content": "You are a helpful test assistant."}]
+        )
+        assert invoke_agent_span["data"]["gen_ai.request.messages"] == safe_serialize(
+            [
+                {"content": [{"text": "Test input", "type": "text"}], "role": "user"},
+            ]
+        )
+        assert (
+            invoke_agent_span["data"]["gen_ai.response.text"]
+            == "Hello, how can I help you?"
+        )
+    else:
+        assert SPANDATA.GEN_AI_SYSTEM_INSTRUCTIONS not in invoke_agent_span["data"]
+        assert "gen_ai.request.messages" not in invoke_agent_span["data"]
+        assert "gen_ai.response.text" not in invoke_agent_span["data"]
+
     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"