fix(tracing): truncate oversized span input/output for OpenAI ingest

src/agents/tracing/processors.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import json
 import os
 import queue
 import random
@@ -29,6 +30,8 @@ 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_MAX_FIELD_BYTES = 100_000
+    _OPENAI_TRACING_STRING_TRUNCATION_SUFFIX = "... [truncated]"
     _OPENAI_TRACING_ALLOWED_USAGE_KEYS = frozenset(
         {
             "input_tokens",
@@ -182,32 +185,85 @@ 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."""
+        """Drop or truncate 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
+        sanitized_span_data = span_data
+        did_mutate = False
 
-        filtered_usage = {
-            key: value
-            for key, value in usage.items()
-            if key in self._OPENAI_TRACING_ALLOWED_USAGE_KEYS
-        }
-        if filtered_usage == usage:
+        for field_name in ("input", "output"):
+            if field_name not in span_data:
+                continue
+            truncated_field = self._truncate_span_field_value(span_data[field_name])
+            if truncated_field != span_data[field_name]:
+                if not did_mutate:
+                    sanitized_span_data = dict(span_data)
+                    did_mutate = True
+                sanitized_span_data[field_name] = truncated_field
+
+        if span_data.get("type") == "generation":
+            usage = span_data.get("usage")
+            if isinstance(usage, dict):
+                filtered_usage = {
+                    key: value
+                    for key, value in usage.items()
+                    if key in self._OPENAI_TRACING_ALLOWED_USAGE_KEYS
+                }
+                if filtered_usage != usage:
+                    if not did_mutate:
+                        sanitized_span_data = dict(span_data)
+                        did_mutate = True
+                    sanitized_span_data["usage"] = filtered_usage
+
+        if not did_mutate:
             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 _value_json_size_bytes(self, value: Any) -> int:
+        return len(json.dumps(value, ensure_ascii=False, separators=(",", ":")).encode("utf-8"))
+
+    def _truncate_string_for_json_limit(self, value: str, max_bytes: int) -> str:
+        suffix = self._OPENAI_TRACING_STRING_TRUNCATION_SUFFIX
+        if self._value_json_size_bytes(value) <= max_bytes:
+            return value
+        if self._value_json_size_bytes(suffix) > max_bytes:
+            return ""
+
+        low = 0
+        high = len(value)
+        best = suffix
+        while low <= high:
+            mid = (low + high) // 2
+            candidate = value[:mid] + suffix
+            if self._value_json_size_bytes(candidate) <= max_bytes:
+                best = candidate
+                low = mid + 1
+            else:
+                high = mid - 1
+        return best
+
+    def _truncate_span_field_value(self, value: Any) -> Any:
+        max_bytes = self._OPENAI_TRACING_MAX_FIELD_BYTES
+        if self._value_json_size_bytes(value) <= max_bytes:
+            return value
+
+        if isinstance(value, str):
+            return self._truncate_string_for_json_limit(value, max_bytes)
+
+        preview = str(value)
+        if len(preview) > 512:
+            preview = preview[:512] + self._OPENAI_TRACING_STRING_TRUNCATION_SUFFIX
+        return {
+            "truncated": True,
+            "original_type": type(value).__name__,
+            "preview": preview,
+        }
+
     def close(self):
         """Close the underlying HTTP client."""
         self._client.close()

tests/test_trace_processor.py

@@ -391,6 +391,108 @@ def export(self):
     exporter.close()
 
 
+@patch("httpx.Client")
+def test_backend_span_exporter_truncates_large_input_for_openai_tracing(mock_client):
+    class DummyItem:
+        tracing_api_key = None
+
+        def __init__(self):
+            self.exported_payload: dict[str, Any] = {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "generation",
+                    "input": "x" * (BackendSpanExporter._OPENAI_TRACING_MAX_FIELD_BYTES + 5000),
+                },
+            }
+
+        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([cast(Any, item)])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    sent_input = sent_payload["span_data"]["input"]
+    assert isinstance(sent_input, str)
+    assert sent_input.endswith(exporter._OPENAI_TRACING_STRING_TRUNCATION_SUFFIX)
+    assert exporter._value_json_size_bytes(sent_input) <= exporter._OPENAI_TRACING_MAX_FIELD_BYTES
+    assert item.exported_payload["span_data"]["input"] != sent_input
+    exporter.close()
+
+
+@patch("httpx.Client")
+def test_backend_span_exporter_truncates_large_non_string_input_for_openai_tracing(mock_client):
+    class DummyItem:
+        tracing_api_key = None
+
+        def __init__(self):
+            self.exported_payload: dict[str, Any] = {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "generation",
+                    "input": {
+                        "blob": "x" * (BackendSpanExporter._OPENAI_TRACING_MAX_FIELD_BYTES + 5000)
+                    },
+                },
+            }
+
+        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")
+    exporter.export([cast(Any, DummyItem())])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    sent_input = sent_payload["span_data"]["input"]
+    assert isinstance(sent_input, dict)
+    assert sent_input["truncated"] is True
+    assert sent_input["original_type"] == "dict"
+    assert exporter._value_json_size_bytes(sent_input) <= exporter._OPENAI_TRACING_MAX_FIELD_BYTES
+    exporter.close()
+
+
+@patch("httpx.Client")
+def test_backend_span_exporter_keeps_large_input_for_custom_endpoint(mock_client):
+    class DummyItem:
+        tracing_api_key = None
+
+        def __init__(self):
+            self.exported_payload: dict[str, Any] = {
+                "object": "trace.span",
+                "span_data": {
+                    "type": "generation",
+                    "input": "x" * (BackendSpanExporter._OPENAI_TRACING_MAX_FIELD_BYTES + 5000),
+                },
+            }
+
+        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",
+    )
+    item = DummyItem()
+    exporter.export([cast(Any, item)])
+
+    sent_payload = mock_client.return_value.post.call_args.kwargs["json"]["data"][0]
+    assert sent_payload["span_data"]["input"] == item.exported_payload["span_data"]["input"]
+    exporter.close()
+
+
 def test_sanitize_for_openai_tracing_api_keeps_allowed_generation_usage():
     exporter = BackendSpanExporter(api_key="test_key")
     payload = {
@@ -421,3 +523,34 @@ def test_sanitize_for_openai_tracing_api_skips_non_dict_generation_usage():
     }
     assert exporter._sanitize_for_openai_tracing_api(payload) is payload
     exporter.close()
+
+
+def test_sanitize_for_openai_tracing_api_keeps_small_input_without_mutation():
+    exporter = BackendSpanExporter(api_key="test_key")
+    payload = {
+        "object": "trace.span",
+        "span_data": {
+            "type": "generation",
+            "input": "short input",
+            "usage": {"input_tokens": 1},
+        },
+    }
+    assert exporter._sanitize_for_openai_tracing_api(payload) is payload
+    exporter.close()
+
+
+def test_truncate_string_for_json_limit_returns_original_when_within_limit():
+    exporter = BackendSpanExporter(api_key="test_key")
+    value = "hello"
+    max_bytes = exporter._value_json_size_bytes(value)
+    assert exporter._truncate_string_for_json_limit(value, max_bytes) == value
+    exporter.close()
+
+
+def test_truncate_string_for_json_limit_returns_empty_when_suffix_too_large():
+    exporter = BackendSpanExporter(api_key="test_key")
+    max_bytes = (
+        exporter._value_json_size_bytes(exporter._OPENAI_TRACING_STRING_TRUNCATION_SUFFIX) - 1
+    )
+    assert exporter._truncate_string_for_json_limit("x" * 100, max_bytes) == ""
+    exporter.close()