fix(tracing): drop unsupported usage fields for OpenAI trace ingest

src/agents/tracing/processors.py

@@ -28,12 +28,23 @@ def export(self, items: list[Trace | Span[Any]]) -> None:
 
 
 class BackendSpanExporter(TracingExporter):
+    _OPENAI_TRACING_INGEST_ENDPOINT = "https://api.openai.com/v1/traces/ingest"
+    _OPENAI_TRACING_ALLOWED_USAGE_KEYS = frozenset(
+        {
+            "input_tokens",
+            "output_tokens",
+            "total_tokens",
+            "input_tokens_details",
+            "output_tokens_details",
+        }
+    )
+
     def __init__(
         self,
         api_key: str | None = None,
         organization: str | None = None,
         project: str | None = None,
-        endpoint: str = "https://api.openai.com/v1/traces/ingest",
+        endpoint: str = _OPENAI_TRACING_INGEST_ENDPOINT,
         max_retries: int = 3,
         base_delay: float = 1.0,
         max_delay: float = 30.0,
@@ -103,7 +114,14 @@ def export(self, items: list[Trace | Span[Any]]) -> None:
                 logger.warning("OPENAI_API_KEY is not set, skipping trace export")
                 continue
 
-            data = [item.export() for item in grouped if item.export()]
+            sanitize_for_openai = self._should_sanitize_for_openai_tracing_api()
+            data: list[dict[str, Any]] = []
+            for item in grouped:
+                exported = item.export()
+                if exported:
+                    if sanitize_for_openai:
+                        exported = self._sanitize_for_openai_tracing_api(exported)
+                    data.append(exported)
             payload = {"data": data}
 
             headers = {
@@ -160,6 +178,36 @@ def export(self, items: list[Trace | Span[Any]]) -> None:
                 time.sleep(sleep_time)
                 delay = min(delay * 2, self.max_delay)
 
+    def _should_sanitize_for_openai_tracing_api(self) -> bool:
+        return self.endpoint.rstrip("/") == self._OPENAI_TRACING_INGEST_ENDPOINT.rstrip("/")
+
+    def _sanitize_for_openai_tracing_api(self, payload_item: dict[str, Any]) -> dict[str, Any]:
+        """Drop fields known to be rejected by OpenAI tracing ingestion."""
+        span_data = payload_item.get("span_data")
+        if not isinstance(span_data, dict):
+            return payload_item
+
+        if span_data.get("type") != "generation":
+            return payload_item
+
+        usage = span_data.get("usage")
+        if not isinstance(usage, dict):
+            return payload_item
+
+        filtered_usage = {
+            key: value
+            for key, value in usage.items()
+            if key in self._OPENAI_TRACING_ALLOWED_USAGE_KEYS
+        }
+        if filtered_usage == usage:
+            return payload_item
+
+        sanitized_span_data = dict(span_data)
+        sanitized_span_data["usage"] = filtered_usage
+        sanitized_payload_item = dict(payload_item)
+        sanitized_payload_item["span_data"] = sanitized_span_data
+        return sanitized_payload_item
+
     def close(self):
         """Close the underlying HTTP client."""
         self._client.close()

tests/test_trace_processor.py

@@ -276,3 +276,147 @@ def test_backend_span_exporter_close(mock_client):
 
     # Ensure underlying http client is closed
     mock_client.return_value.close.assert_called_once()
+
+
+@patch("httpx.Client")
+def test_backend_span_exporter_sanitizes_generation_usage_for_openai_tracing(mock_client):
+    """Unsupported usage keys should be stripped before POSTing to OpenAI tracing."""
+
+    class DummyItem:
+        tracing_api_key = None
+
+        def __init__(self):
+            self.exported_payload = {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "generation",
+                    "usage": {
+                        "requests": 1,
+                        "input_tokens": 10,
+                        "output_tokens": 5,
+                        "total_tokens": 15,
+                        "input_tokens_details": {"cached_tokens": 1},
+                        "output_tokens_details": {"reasoning_tokens": 2},
+                    },
+                },
+            }
+
+        def export(self):
+            return self.exported_payload
+
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_client.return_value.post.return_value = mock_response
+
+    exporter = BackendSpanExporter(api_key="test_key")
+    item = DummyItem()
+    exporter.export([item])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    sent_usage = sent_payload["span_data"]["usage"]
+    assert "requests" not in sent_usage
+    assert sent_usage["input_tokens"] == 10
+    assert sent_usage["output_tokens"] == 5
+    assert sent_usage["total_tokens"] == 15
+    assert sent_usage["input_tokens_details"] == {"cached_tokens": 1}
+    assert sent_usage["output_tokens_details"] == {"reasoning_tokens": 2}
+
+    # Ensure the original exported object has not been mutated.
+    assert "requests" in item.exported_payload["span_data"]["usage"]
+    exporter.close()
+
+
+@patch("httpx.Client")
+def test_backend_span_exporter_keeps_generation_usage_for_custom_endpoint(mock_client):
+    class DummyItem:
+        tracing_api_key = None
+
+        def __init__(self):
+            self.exported_payload = {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "generation",
+                    "usage": {
+                        "requests": 1,
+                        "input_tokens": 10,
+                        "output_tokens": 5,
+                    },
+                },
+            }
+
+        def export(self):
+            return self.exported_payload
+
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_client.return_value.post.return_value = mock_response
+
+    exporter = BackendSpanExporter(
+        api_key="test_key",
+        endpoint="https://example.com/v1/traces/ingest",
+    )
+    exporter.export([DummyItem()])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    assert sent_payload["span_data"]["usage"]["requests"] == 1
+    assert sent_payload["span_data"]["usage"]["input_tokens"] == 10
+    assert sent_payload["span_data"]["usage"]["output_tokens"] == 5
+    exporter.close()
+
+
+@patch("httpx.Client")
+def test_backend_span_exporter_does_not_modify_non_generation_usage(mock_client):
+    class DummyItem:
+        tracing_api_key = None
+
+        def export(self):
+            return {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "function",
+                    "usage": {"requests": 1},
+                },
+            }
+
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_client.return_value.post.return_value = mock_response
+
+    exporter = BackendSpanExporter(api_key="test_key")
+    exporter.export([DummyItem()])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    assert sent_payload["span_data"]["usage"] == {"requests": 1}
+    exporter.close()
+
+
+def test_sanitize_for_openai_tracing_api_keeps_allowed_generation_usage():
+    exporter = BackendSpanExporter(api_key="test_key")
+    payload = {
+        "object": "trace.span",
+        "span_data": {
+            "type": "generation",
+            "usage": {
+                "input_tokens": 1,
+                "output_tokens": 2,
+                "total_tokens": 3,
+                "input_tokens_details": {"cached_tokens": 0},
+                "output_tokens_details": {"reasoning_tokens": 0},
+            },
+        },
+    }
+    assert exporter._sanitize_for_openai_tracing_api(payload) is payload
+    exporter.close()
+
+
+def test_sanitize_for_openai_tracing_api_skips_non_dict_generation_usage():
+    exporter = BackendSpanExporter(api_key="test_key")
+    payload = {
+        "object": "trace.span",
+        "span_data": {
+            "type": "generation",
+            "usage": None,
+        },
+    }
+    assert exporter._sanitize_for_openai_tracing_api(payload) is payload
+    exporter.close()