diff --git a/litellm/proxy/route_llm_request.py b/litellm/proxy/route_llm_request.py index 20b4708c193..536c58df65a 100644 --- a/litellm/proxy/route_llm_request.py +++ b/litellm/proxy/route_llm_request.py @@ -159,6 +159,7 @@ class ProxyModelNotFoundError(HTTPException): REQUIRED_BODY_PARAMS_BY_ROUTE: Final[Mapping[str, tuple[str, ...]]] = { "acompletion": ("messages",), "aembedding": ("input",), + "aresponses": ("input",), "acreate_batch": ("input_file_id", "endpoint", "completion_window"), } diff --git a/tests/test_litellm/proxy/test_route_llm_request.py b/tests/test_litellm/proxy/test_route_llm_request.py index f7021763a4d..6cbbc279748 100644 --- a/tests/test_litellm/proxy/test_route_llm_request.py +++ b/tests/test_litellm/proxy/test_route_llm_request.py @@ -1043,6 +1043,7 @@ async def test_route_request_override_enable_tag_filtering_beats_body_value(): [ ("acompletion", "messages", "/chat/completions"), ("aembedding", "input", "/embeddings"), + ("aresponses", "input", "/responses"), ("acreate_batch", "input_file_id", "/batches"), ], ) @@ -1090,6 +1091,8 @@ def test_raise_if_required_body_param_missing_names_first_missing_batch_param(da ("acompletion", {"model": "gpt-4o", "messages": []}), ("atext_completion", {"model": "gpt-4o"}), ("aembedding", {"model": "text-embedding-3-small", "input": "hi"}), + ("aresponses", {"model": "gpt-4o", "input": "hi"}), + ("aresponses", {"model": "gpt-4o", "input": []}), ("arerank", {"model": "rerank-model"}), ("aimage_generation", {"model": "dall-e-3"}), ( @@ -1120,6 +1123,20 @@ async def test_route_request_rejects_chat_completion_without_messages(): llm_router.acompletion.assert_not_called() +@pytest.mark.asyncio +async def test_route_request_rejects_responses_without_input(): + from litellm.proxy.route_llm_request import ProxyMissingRequiredParamError + + llm_router = MagicMock() + + with pytest.raises(ProxyMissingRequiredParamError) as exc_info: + await route_request({"model": "gpt-4o"}, llm_router, None, "aresponses") + + assert exc_info.value.code == "400" + assert exc_info.value.param == "input" + llm_router.aresponses.assert_not_called() + + class FakeProxyModelTable: def __init__(self, rows): self.rows = rows