diff --git a/litellm/responses/utils.py b/litellm/responses/utils.py index db2e515609c..c6912ed977f 100644 --- a/litellm/responses/utils.py +++ b/litellm/responses/utils.py @@ -231,14 +231,30 @@ class ResponsesAPIRequestUtils: ) non_default_params["previous_response_id"] = decoded_previous_response_id - if "metadata" in non_default_params: - from litellm.utils import add_openai_metadata + litellm_metadata = params.get("litellm_metadata") + if not isinstance(litellm_metadata, dict): + litellm_metadata = {} - converted_metadata: Final = add_openai_metadata(non_default_params["metadata"]) - if converted_metadata is not None: + requester_metadata = litellm_metadata.get("requester_metadata") + metadata_in_params = non_default_params.get("metadata") + is_proxy_internal_metadata = any(key.startswith("user_api_key_") for key in litellm_metadata) + + metadata_source: dict | None = None + if isinstance(requester_metadata, dict): + metadata_source = requester_metadata + elif not is_proxy_internal_metadata and isinstance(metadata_in_params, dict): + metadata_source = metadata_in_params + + if metadata_source is not None: + from litellm.utils import get_requester_metadata + + converted_metadata: Final = get_requester_metadata(metadata_source) + if converted_metadata: non_default_params["metadata"] = converted_metadata else: non_default_params.pop("metadata", None) + else: + non_default_params.pop("metadata", None) return cast(ResponsesAPIOptionalRequestParams, non_default_params) diff --git a/tests/test_litellm/responses/test_responses_utils.py b/tests/test_litellm/responses/test_responses_utils.py index 0141cf5d96a..fa8c351d184 100644 --- a/tests/test_litellm/responses/test_responses_utils.py +++ b/tests/test_litellm/responses/test_responses_utils.py @@ -132,6 +132,59 @@ class TestResponsesAPIRequestUtils: assert result["max_output_tokens"] == 100 assert result["prompt"] == {"id": "pmpt_456"} + def test_get_requested_response_api_optional_param_strips_empty_metadata(self): + """Regression #35780: empty metadata dict must not reach upstream.""" + result = ResponsesAPIRequestUtils.get_requested_response_api_optional_param( + {"temperature": 0.7, "metadata": {}} + ) + assert "metadata" not in result + + def test_get_requested_response_api_optional_param_strips_internal_metadata(self): + """Regression #35780: proxy/router internal metadata must not reach upstream.""" + result = ResponsesAPIRequestUtils.get_requested_response_api_optional_param( + { + "temperature": 0.7, + "metadata": { + "model_group": "test-model", + "deployment": "openai/gpt-4o", + "model_info": {"id": "dep-1"}, + "user_api_key_user_id": "user-1", + }, + "litellm_metadata": { + "user_api_key_team_id": "team-1", + "tags": ["internal-tag"], + }, + } + ) + assert "metadata" not in result + + def test_get_requested_response_api_optional_param_preserves_caller_metadata(self): + """Caller-supplied string metadata should still be forwarded.""" + result = ResponsesAPIRequestUtils.get_requested_response_api_optional_param( + { + "temperature": 0.7, + "metadata": {"customer_id": "cust-123", "campaign": "spring"}, + } + ) + assert result["metadata"] == {"customer_id": "cust-123", "campaign": "spring"} + + def test_get_requested_response_api_optional_param_uses_requester_metadata(self): + """Proxy snapshots caller metadata under litellm_metadata.requester_metadata.""" + result = ResponsesAPIRequestUtils.get_requested_response_api_optional_param( + { + "temperature": 0.7, + "metadata": { + "model_group": "test-model", + "user_api_key_user_id": "user-1", + }, + "litellm_metadata": { + "requester_metadata": {"customer_id": "cust-456"}, + "user_api_key_team_id": "team-1", + }, + } + ) + assert result["metadata"] == {"customer_id": "cust-456"} + def test_decode_previous_response_id_to_original_previous_response_id(self): """Test decoding a LiteLLM encoded previous_response_id to the original previous_response_id""" # Setup