diff --git a/litellm/__init__.py b/litellm/__init__.py index dde94d68d5f..a46a24ab74b 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -1818,6 +1818,9 @@ if TYPE_CHECKING: from .llms.azure.responses.o_series_transformation import ( AzureOpenAIOSeriesResponsesAPIConfig as AzureOpenAIOSeriesResponsesAPIConfig, ) + from .llms.azure_ai.responses.transformation import ( + AzureAIResponsesAPIConfig as AzureAIResponsesAPIConfig, + ) from .llms.xai.responses.transformation import ( XAIResponsesAPIConfig as XAIResponsesAPIConfig, ) diff --git a/litellm/_lazy_imports_registry.py b/litellm/_lazy_imports_registry.py index dc323c8cc15..4c478b51ed1 100644 --- a/litellm/_lazy_imports_registry.py +++ b/litellm/_lazy_imports_registry.py @@ -234,6 +234,7 @@ LLM_CONFIG_NAMES: Final = ( "OpenAIResponsesAPIConfig", "AzureOpenAIResponsesAPIConfig", "AzureOpenAIOSeriesResponsesAPIConfig", + "AzureAIResponsesAPIConfig", "XAIResponsesAPIConfig", "LiteLLMProxyResponsesAPIConfig", "HostedVLLMResponsesAPIConfig", @@ -946,6 +947,10 @@ _LLM_CONFIGS_IMPORT_MAP: Final = { ".llms.azure.responses.o_series_transformation", "AzureOpenAIOSeriesResponsesAPIConfig", ), + "AzureAIResponsesAPIConfig": ( + ".llms.azure_ai.responses.transformation", + "AzureAIResponsesAPIConfig", + ), "XAIResponsesAPIConfig": ( ".llms.xai.responses.transformation", "XAIResponsesAPIConfig", diff --git a/litellm/llms/azure/responses/transformation.py b/litellm/llms/azure/responses/transformation.py index 7fe12138ebc..2a82b42df7b 100644 --- a/litellm/llms/azure/responses/transformation.py +++ b/litellm/llms/azure/responses/transformation.py @@ -49,12 +49,7 @@ class AzureOpenAIResponsesAPIConfig(OpenAIResponsesAPIConfig): return BaseAzureLLM._base_validate_azure_environment(headers=headers, litellm_params=litellm_params) def get_stripped_model_name(self, model: str) -> str: - # if "responses/" is in the model name, remove it - if "responses/" in model: - model = model.replace("responses/", "") - if "o_series" in model: - model = model.replace("o_series/", "") - return model + return model.replace("responses/", "").replace("o_series/", "").replace("azure_ai/", "") def _handle_reasoning_item(self, item: dict[str, Any]) -> dict[str, Any]: """ diff --git a/litellm/llms/azure_ai/common_utils.py b/litellm/llms/azure_ai/common_utils.py index 53a864a880a..4f6194a5505 100644 --- a/litellm/llms/azure_ai/common_utils.py +++ b/litellm/llms/azure_ai/common_utils.py @@ -9,6 +9,7 @@ from litellm.types.llms.openai import AllMessageValues from litellm.types.router import GenericLiteLLMParams AzureAIApiKeyHeader = Literal["Authorization", "api-key", "Api-Key", "Ocp-Apim-Subscription-Key"] +AZURE_OPENAI_V1_HOST_SUFFIXES: Final = (".services.ai.azure.com", ".openai.azure.com") def is_foundry_model_inference_base(api_base: str) -> bool: @@ -19,11 +20,13 @@ def is_foundry_model_inference_base(api_base: str) -> bool: return "/openai/deployments" not in parsed.path -def api_key_header_for_base(api_base: str | None) -> AzureAIApiKeyHeader: +def is_azure_openai_v1_host(api_base: str | None) -> bool: host: Final = urlparse(api_base).hostname if api_base else None - if host and (host.endswith(".services.ai.azure.com") or host.endswith(".openai.azure.com")): - return "api-key" - return "Authorization" + return host is not None and host.endswith(AZURE_OPENAI_V1_HOST_SUFFIXES) + + +def api_key_header_for_base(api_base: str | None) -> AzureAIApiKeyHeader: + return "api-key" if is_azure_openai_v1_host(api_base) else "Authorization" def get_azure_ai_entra_token(litellm_params: Mapping[str, object] | None = None) -> str | None: @@ -70,6 +73,17 @@ def get_azure_ai_auth_headers( AZURE_MODEL_ROUTER_SELECTED_MODEL_KEY: Final = "azure_model_router_selected_model" +def azure_ai_supports_native_responses(model: str | None, api_base: str | None) -> bool: + resolved_base: Final = AzureFoundryModelInfo.get_api_base(api_base) + if resolved_base is not None and not is_azure_openai_v1_host(resolved_base): + return False + if model is None: + return True + if "claude" in model.lower(): + return False + return AzureFoundryModelInfo.get_azure_ai_route(model) == "default" + + class AzureFoundryModelInfo(BaseLLMModelInfo): """Model info for Azure AI / Azure Foundry models.""" diff --git a/litellm/llms/azure_ai/responses/__init__.py b/litellm/llms/azure_ai/responses/__init__.py new file mode 100644 index 00000000000..e69de29bb2d diff --git a/litellm/llms/azure_ai/responses/transformation.py b/litellm/llms/azure_ai/responses/transformation.py new file mode 100644 index 00000000000..66a284c821d --- /dev/null +++ b/litellm/llms/azure_ai/responses/transformation.py @@ -0,0 +1,53 @@ +from typing import Final + +import httpx + +from litellm.llms.azure.responses.transformation import AzureOpenAIResponsesAPIConfig +from litellm.llms.azure_ai.common_utils import ( + AzureFoundryModelInfo, + api_key_header_for_base, + get_azure_ai_auth_headers, +) +from litellm.types.router import GenericLiteLLMParams +from litellm.types.utils import LlmProviders + +_PROJECT_PATH_PREFIX: Final = ("api", "projects") +_RESPONSES_PATH: Final = ("openai", "v1", "responses") + + +def _responses_url(api_base: str) -> str: + base_url: Final = httpx.URL(api_base) + segments: Final = tuple(segment for segment in base_url.path.split("/") if segment) + project_root: Final = segments[:3] if segments[:2] == _PROJECT_PATH_PREFIX else () + return str(base_url.copy_with(path="/" + "/".join((*project_root, *_RESPONSES_PATH)), query=None)) + + +class AzureAIResponsesAPIConfig(AzureOpenAIResponsesAPIConfig): + @property + def custom_llm_provider(self) -> LlmProviders: + return LlmProviders.AZURE_AI + + def validate_environment(self, headers: dict, model: str, litellm_params: GenericLiteLLMParams | None) -> dict: + params: Final = litellm_params or GenericLiteLLMParams() + auth_headers: Final = get_azure_ai_auth_headers( + api_key=AzureFoundryModelInfo.get_api_key(params.api_key), + litellm_params=params.model_dump(), + api_key_header=api_key_header_for_base(AzureFoundryModelInfo.get_api_base(params.api_base)), + ) + return { # mutable-ok: the handler updates the returned headers in place per the dict contract + **headers, + **auth_headers, + "Content-Type": "application/json", + } + + def supports_native_websocket(self) -> bool: + return False + + def get_complete_url(self, api_base: str | None, litellm_params: dict) -> str: + resolved_base: Final = AzureFoundryModelInfo.get_api_base(api_base) + if resolved_base is None: + raise ValueError( + "api_base is required for the Azure AI Foundry Responses API. " + "Set the api_base parameter or the AZURE_AI_API_BASE environment variable." + ) + return _responses_url(resolved_base) diff --git a/litellm/responses/main.py b/litellm/responses/main.py index 93bc41f3646..63bee9f6d99 100644 --- a/litellm/responses/main.py +++ b/litellm/responses/main.py @@ -482,18 +482,27 @@ class _AsyncPromptManagementOutcome: def _resolve_responses_api_provider_config( - model: str, custom_llm_provider: str, model_info: object + model: str, custom_llm_provider: str, model_info: object, api_base: str | None ) -> BaseResponsesAPIConfig | None: provider_config: Final = ProviderConfigManager.get_provider_responses_api_config( - model=model, provider=custom_llm_provider + model=model, provider=custom_llm_provider, api_base=api_base ) if provider_config is not None or not _deployment_passes_through_responses(model_info): return provider_config return OpenAILikeResponsesConfig() +def _api_base_kwarg(kwargs: Mapping[str, object]) -> str | None: + api_base: Final = kwargs.get("api_base") + return api_base if isinstance(api_base, str) else None + + def _will_bridge_to_chat_completions( - model: str, custom_llm_provider: str | None, use_chat_completions_api: bool, model_info: object + model: str, + custom_llm_provider: str | None, + use_chat_completions_api: bool, + model_info: object, + api_base: str | None, ) -> bool: """``_bridges_to_chat_completions`` for callers running before the provider config is resolved. @@ -507,7 +516,7 @@ def _will_bridge_to_chat_completions( if custom_llm_provider is None: return True return _bridges_to_chat_completions( - _resolve_responses_api_provider_config(normalized_model[0], custom_llm_provider, model_info), + _resolve_responses_api_provider_config(normalized_model[0], custom_llm_provider, model_info, api_base), use_chat_completions_api or normalized_model[1], ) @@ -618,6 +627,7 @@ async def aresponses( custom_llm_provider, bool(kwargs.get("use_chat_completions_api")), kwargs.get("model_info"), + _api_base_kwarg(kwargs), ), ): ( @@ -783,7 +793,11 @@ def _apply_prompt_management_to_responses_call( with _prompt_management_sees_a_provisional_message_list( kwargs, bridged=_will_bridge_to_chat_completions( - model, custom_llm_provider, use_chat_completions_api, kwargs.get("model_info") + model, + custom_llm_provider, + use_chat_completions_api, + kwargs.get("model_info"), + _api_base_kwarg(kwargs), ), ): ( @@ -1237,7 +1251,7 @@ def responses( responses_api_provider_config = None else: responses_api_provider_config = _resolve_responses_api_provider_config( - model, custom_llm_provider, deployment_model_info + model, custom_llm_provider, deployment_model_info, litellm_params.api_base ) if ( @@ -1496,6 +1510,7 @@ def delete_responses( ProviderConfigManager.get_provider_responses_api_config( model=None, provider=custom_llm_provider, + api_base=litellm_params.api_base, ) ) @@ -1667,6 +1682,7 @@ def get_responses( ProviderConfigManager.get_provider_responses_api_config( model=None, provider=custom_llm_provider, + api_base=litellm_params.api_base, ) ) @@ -1811,6 +1827,7 @@ def list_input_items( ProviderConfigManager.get_provider_responses_api_config( model=None, provider=custom_llm_provider, + api_base=litellm_params.api_base, ) ) @@ -1960,6 +1977,7 @@ def cancel_responses( ProviderConfigManager.get_provider_responses_api_config( model=None, provider=custom_llm_provider, + api_base=litellm_params.api_base, ) ) @@ -2132,6 +2150,7 @@ def compact_responses( ProviderConfigManager.get_provider_responses_api_config( model=model, provider=custom_llm_provider, + api_base=litellm_params.api_base, ) ) @@ -2270,14 +2289,15 @@ async def _aresponses_websocket( custom_llm_provider=_custom_llm_provider, ) + resolved_api_base: Final = dynamic_api_base or litellm_params.api_base or litellm.api_base or None responses_api_provider_config: BaseResponsesAPIConfig | None = None if _custom_llm_provider is not None: responses_api_provider_config = ProviderConfigManager.get_provider_responses_api_config( model=resolved_model, provider=litellm.LlmProviders(_custom_llm_provider), + api_base=resolved_api_base, ) - resolved_api_base: Final = dynamic_api_base or litellm_params.api_base or litellm.api_base or None resolved_api_key: Final = ( dynamic_api_key or litellm_params.api_key diff --git a/litellm/utils.py b/litellm/utils.py index 480507a3e62..38a28956566 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -8746,6 +8746,7 @@ class ProviderConfigManager: def get_provider_responses_api_config( provider: LlmProviders | str, model: str | None = None, + api_base: str | None = None, ) -> BaseResponsesAPIConfig | None: from litellm.llms.openai_like.dynamic_config import ( create_responses_config_class, @@ -8767,7 +8768,7 @@ class ProviderConfigManager: pass # Check Python classes first (custom overrides take priority) - result: Final = ProviderConfigManager._get_python_responses_api_config(provider_enum, model) + result: Final = ProviderConfigManager._get_python_responses_api_config(provider_enum, model, api_base) if result is not None: return result @@ -8783,6 +8784,7 @@ class ProviderConfigManager: def _get_python_responses_api_config( provider: LlmProviders | None, model: str | None = None, + api_base: str | None = None, ) -> BaseResponsesAPIConfig | None: """Check for Python-class-based responses API configs (custom overrides).""" if provider is None: @@ -8801,6 +8803,14 @@ class ProviderConfigManager: return litellm.AzureOpenAIOSeriesResponsesAPIConfig() else: return litellm.AzureOpenAIResponsesAPIConfig() + elif litellm.LlmProviders.AZURE_AI == provider: + from litellm.llms.azure_ai.common_utils import ( + azure_ai_supports_native_responses, + ) + + if azure_ai_supports_native_responses(model, api_base): + return litellm.AzureAIResponsesAPIConfig() + return None elif litellm.LlmProviders.XAI == provider: return litellm.XAIResponsesAPIConfig() elif litellm.LlmProviders.GITHUB_COPILOT == provider: diff --git a/tests/test_litellm/llms/azure/response/test_azure_transformation.py b/tests/test_litellm/llms/azure/response/test_azure_transformation.py index 726c9f65681..532c278e891 100644 --- a/tests/test_litellm/llms/azure/response/test_azure_transformation.py +++ b/tests/test_litellm/llms/azure/response/test_azure_transformation.py @@ -677,3 +677,14 @@ def test_azure_responses_gpt6_astra_rejects_temperature_while_reasoning(local_mo model="gpt-6-astra", drop_params=False, ) + + +def test_azure_responses_sends_the_deployment_name_when_azure_ai_prefix_survives_provider_remap(): + request = AzureOpenAIResponsesAPIConfig().transform_responses_api_request( + model="azure_ai/gpt-5.4-nano", + input="hi", + response_api_optional_request_params={}, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + assert request["model"] == "gpt-5.4-nano" diff --git a/tests/test_litellm/llms/azure_ai/responses/test_azure_ai_responses_transformation.py b/tests/test_litellm/llms/azure_ai/responses/test_azure_ai_responses_transformation.py new file mode 100644 index 00000000000..bae956eb061 --- /dev/null +++ b/tests/test_litellm/llms/azure_ai/responses/test_azure_ai_responses_transformation.py @@ -0,0 +1,311 @@ +import json + +import httpx +import pytest +import respx + +import litellm +from litellm.llms.azure_ai.responses.transformation import AzureAIResponsesAPIConfig +from litellm.responses.main import _will_bridge_to_chat_completions +from litellm.types.router import GenericLiteLLMParams +from litellm.utils import ProviderConfigManager + +FOUNDRY_PROJECT_BASE = "https://res.services.ai.azure.com/api/projects/proj" +FOUNDRY_RESPONSES_URL = f"{FOUNDRY_PROJECT_BASE}/openai/v1/responses" +SERVERLESS_BASE = "https://endpoint.eastus.models.ai.azure.com" +WEATHER_TOOL = { + "type": "function", + "name": "get_weather", + "description": "Get weather", + "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}, +} + + +@pytest.fixture(autouse=True) +def clear_azure_ai_env(monkeypatch): + monkeypatch.setattr(litellm, "api_base", None) + monkeypatch.setattr(litellm, "api_key", None) + monkeypatch.setattr(litellm, "enable_azure_ad_token_refresh", False) + monkeypatch.setattr(litellm, "disable_aiohttp_transport", True) + for env_var in ( + "AZURE_AI_API_BASE", + "AZURE_AI_API_KEY", + "AZURE_AD_TOKEN", + "AZURE_TENANT_ID", + "AZURE_CLIENT_ID", + "AZURE_CLIENT_SECRET", + ): + monkeypatch.delenv(env_var, raising=False) + + +def _responses_payload(model: str) -> dict: + return { + "id": "resp_123", + "object": "response", + "created_at": 1741369938, + "status": "completed", + "model": model, + "output": [], + "parallel_tool_calls": False, + "usage": {"input_tokens": 1, "output_tokens": 1, "total_tokens": 2}, + "error": None, + "tool_choice": "auto", + "tools": [], + "metadata": None, + "temperature": None, + "top_p": None, + "max_output_tokens": None, + "previous_response_id": None, + "reasoning": None, + "truncation": None, + "instructions": None, + "incomplete_details": None, + "user": None, + } + + +def _chat_completion_payload(model: str) -> dict: + return { + "id": "chatcmpl-123", + "object": "chat.completion", + "created": 1741369938, + "model": model, + "choices": [{"index": 0, "message": {"role": "assistant", "content": "hi"}, "finish_reason": "stop"}], + "usage": {"prompt_tokens": 1, "completion_tokens": 1, "total_tokens": 2}, + } + + +@pytest.mark.parametrize("model", ["gpt-5.6-luna-20260710154139", "gpt-5.5-20260504143601", "DeepSeek-R1-0528", None]) +@pytest.mark.parametrize( + "api_base", [FOUNDRY_PROJECT_BASE, "https://res.services.ai.azure.com", "https://res.openai.azure.com"] +) +def test_azure_openai_v1_hosts_resolve_native_config(model, api_base): + config = ProviderConfigManager.get_provider_responses_api_config(provider="azure_ai", model=model, api_base=api_base) + assert isinstance(config, AzureAIResponsesAPIConfig) + + +def test_api_base_from_env_resolves_native_config(monkeypatch): + monkeypatch.setenv("AZURE_AI_API_BASE", FOUNDRY_PROJECT_BASE) + config = ProviderConfigManager.get_provider_responses_api_config(provider="azure_ai", model="gpt-5.6-luna", api_base=None) + assert isinstance(config, AzureAIResponsesAPIConfig) + + +@pytest.mark.parametrize("model", ["gpt-5.6-luna", None]) +@pytest.mark.parametrize( + "api_base", + [SERVERLESS_BASE, "https://endpoint.eastus.inference.ml.azure.com/score", "https://res.cognitiveservices.azure.com"], +) +def test_other_hosts_keep_chat_bridge(model, api_base): + config = ProviderConfigManager.get_provider_responses_api_config(provider="azure_ai", model=model, api_base=api_base) + assert config is None + + +@pytest.mark.parametrize("model", ["claude-3-5-sonnet", "model_router/gpt-5", "agents/my-agent"]) +def test_non_openai_surfaces_keep_chat_bridge(model): + config = ProviderConfigManager.get_provider_responses_api_config( + provider="azure_ai", model=model, api_base=FOUNDRY_PROJECT_BASE + ) + assert config is None + + +@pytest.mark.parametrize("api_base,bridged", [(FOUNDRY_PROJECT_BASE, False), (SERVERLESS_BASE, True)]) +def test_will_bridge_to_chat_completions_follows_host(api_base, bridged): + assert _will_bridge_to_chat_completions("gpt-5.6-luna", "azure_ai", False, None, api_base) is bridged + + +@pytest.mark.parametrize( + "api_base,expected", + [ + (FOUNDRY_PROJECT_BASE, FOUNDRY_RESPONSES_URL), + (f"{FOUNDRY_PROJECT_BASE}/", FOUNDRY_RESPONSES_URL), + (f"{FOUNDRY_PROJECT_BASE}/openai/v1", FOUNDRY_RESPONSES_URL), + (FOUNDRY_RESPONSES_URL, FOUNDRY_RESPONSES_URL), + ("https://res.services.ai.azure.com", "https://res.services.ai.azure.com/openai/v1/responses"), + ("https://res.services.ai.azure.com/models", "https://res.services.ai.azure.com/openai/v1/responses"), + ( + "https://res.services.ai.azure.com/models/chat/completions?api-version=2024-05-01-preview", + "https://res.services.ai.azure.com/openai/v1/responses", + ), + ("https://res.openai.azure.com", "https://res.openai.azure.com/openai/v1/responses"), + ( + "https://res.openai.azure.com/openai/deployments/gpt-5?api-version=2025-04-01-preview", + "https://res.openai.azure.com/openai/v1/responses", + ), + ], +) +def test_get_complete_url(api_base, expected): + assert AzureAIResponsesAPIConfig().get_complete_url(api_base=api_base, litellm_params={}) == expected + + +def test_get_complete_url_ignores_api_version(): + url = AzureAIResponsesAPIConfig().get_complete_url( + api_base=FOUNDRY_PROJECT_BASE, litellm_params={"api_version": "2025-04-01-preview"} + ) + assert url == FOUNDRY_RESPONSES_URL + + +def test_get_complete_url_uses_env_api_base(monkeypatch): + monkeypatch.setenv("AZURE_AI_API_BASE", FOUNDRY_PROJECT_BASE) + assert AzureAIResponsesAPIConfig().get_complete_url(api_base=None, litellm_params={}) == FOUNDRY_RESPONSES_URL + + +def test_get_complete_url_raises_without_api_base(): + with pytest.raises(ValueError, match="AZURE_AI_API_BASE"): + AzureAIResponsesAPIConfig().get_complete_url(api_base=None, litellm_params={}) + + +def test_native_websocket_stays_off(): + assert AzureAIResponsesAPIConfig().supports_native_websocket() is False + + +def test_validate_environment_sends_api_key_header(): + headers = AzureAIResponsesAPIConfig().validate_environment( + headers={"x-custom": "1"}, + model="gpt-5.6-luna", + litellm_params=GenericLiteLLMParams(api_key="secret", api_base=FOUNDRY_PROJECT_BASE), + ) + assert headers == {"x-custom": "1", "api-key": "secret", "Content-Type": "application/json"} + + +def test_validate_environment_reads_api_key_from_env(monkeypatch): + monkeypatch.setenv("AZURE_AI_API_KEY", "env-secret") + headers = AzureAIResponsesAPIConfig().validate_environment( + headers={}, model="gpt-5.6-luna", litellm_params=GenericLiteLLMParams(api_base=FOUNDRY_PROJECT_BASE) + ) + assert headers["api-key"] == "env-secret" + + +def test_validate_environment_uses_entra_token_without_api_key(): + headers = AzureAIResponsesAPIConfig().validate_environment( + headers={}, + model="gpt-5.6-luna", + litellm_params=GenericLiteLLMParams(azure_ad_token="entra-token", api_base=FOUNDRY_PROJECT_BASE), + ) + assert headers["Authorization"] == "Bearer entra-token" + assert "api-key" not in headers + + +def test_validate_environment_raises_without_credentials(): + with pytest.raises(ValueError, match="AZURE_AI_API_KEY"): + AzureAIResponsesAPIConfig().validate_environment( + headers={}, model="gpt-5.6-luna", litellm_params=GenericLiteLLMParams(api_base=FOUNDRY_PROJECT_BASE) + ) + + +NATIVE_RESPONSES_CASES = [ + ("azure_ai/gpt-5.6-luna-20260710154139", FOUNDRY_PROJECT_BASE, FOUNDRY_RESPONSES_URL, "gpt-5.6-luna-20260710154139"), + ( + "azure_ai/gpt-5.6-luna", + "https://res.services.ai.azure.com/models", + "https://res.services.ai.azure.com/openai/v1/responses", + "gpt-5.6-luna", + ), + ( + "azure_ai/gpt-5.6-sol", + "https://res.services.ai.azure.com", + "https://res.services.ai.azure.com/openai/v1/responses", + "gpt-5.6-sol", + ), + ( + "azure_ai/gpt-5.6-luna-20260710154139", + "https://res.openai.azure.com", + "https://res.openai.azure.com/openai/v1/responses", + "gpt-5.6-luna-20260710154139", + ), + ( + "azure_ai/gpt-5.6-sol", + "https://res.openai.azure.com", + "https://res.openai.azure.com/openai/v1/responses", + "gpt-5.6-sol", + ), +] + + +def _assert_native_responses_request(route, expected_url, expected_model): + request = route.calls.last.request + body = json.loads(request.content) + assert f"{request.url.scheme}://{request.url.host}{request.url.path}" == expected_url + assert request.headers["api-key"] == "fake-key" + assert body["model"] == expected_model + assert body["input"] == "What is the weather in SF?" + assert "messages" not in body + assert body["reasoning"] == {"effort": "high"} + assert body["tools"] == [WEATHER_TOOL] + + +@pytest.mark.asyncio +@respx.mock +@pytest.mark.parametrize("model,api_base,expected_url,expected_model", NATIVE_RESPONSES_CASES) +async def test_aresponses_sends_reasoning_and_tools_to_native_endpoint(model, api_base, expected_url, expected_model): + route = respx.post(url__regex=r".*/openai/v1/responses(\?.*)?$").mock( + return_value=httpx.Response(200, json=_responses_payload(expected_model)) + ) + + await litellm.aresponses( + model=model, + input="What is the weather in SF?", + reasoning_effort="high", + tools=[WEATHER_TOOL], + api_base=api_base, + api_key="fake-key", + ) + + _assert_native_responses_request(route, expected_url, expected_model) + + +@pytest.mark.asyncio +@respx.mock +async def test_aresponses_catalog_name_remapped_to_azure_sends_bare_deployment_name(monkeypatch): + monkeypatch.setenv("AZURE_AI_API_BASE", "https://res.openai.azure.com") + route = respx.post(url__regex=r".*/openai/v1/responses(\?.*)?$").mock( + return_value=httpx.Response(200, json=_responses_payload("gpt-5.4-nano")) + ) + + await litellm.aresponses( + model="azure_ai/gpt-5.4-nano", + input="What is the weather in SF?", + api_base="https://res.openai.azure.com", + api_key="fake-key", + ) + + assert json.loads(route.calls.last.request.content)["model"] == "gpt-5.4-nano" + + +@pytest.mark.asyncio +@respx.mock +@pytest.mark.parametrize("model,api_base,expected_url,expected_model", NATIVE_RESPONSES_CASES) +async def test_router_aresponses_sends_bare_deployment_name(model, api_base, expected_url, expected_model): + route = respx.post(url__regex=r".*/openai/v1/responses(\?.*)?$").mock( + return_value=httpx.Response(200, json=_responses_payload(expected_model)) + ) + router = litellm.Router( + model_list=[{"model_name": "gpt-5.6", "litellm_params": {"model": model, "api_base": api_base, "api_key": "fake-key"}}], + num_retries=0, + ) + + await router.aresponses( + model="gpt-5.6", input="What is the weather in SF?", reasoning={"effort": "high"}, tools=[WEATHER_TOOL] + ) + + _assert_native_responses_request(route, expected_url, expected_model) + + +@pytest.mark.asyncio +@respx.mock +async def test_aresponses_serverless_host_stays_on_chat_bridge(): + chat_route = respx.post(url__regex=r".*/chat/completions$").mock( + return_value=httpx.Response(200, json=_chat_completion_payload("gpt-5.6-luna")) + ) + responses_route = respx.post(url__regex=r".*/responses$") + + await litellm.aresponses( + model="azure_ai/gpt-5.6-luna-20260710154139", + input="What is the weather in SF?", + tools=[WEATHER_TOOL], + api_base=SERVERLESS_BASE, + api_key="fake-key", + ) + + assert chat_route.called + assert not responses_route.called + assert chat_route.calls.last.request.headers["Authorization"] == "Bearer fake-key" diff --git a/tests/test_litellm/responses/test_responses_supported_endpoints_passthrough.py b/tests/test_litellm/responses/test_responses_supported_endpoints_passthrough.py index 7cd04b015f9..4ff4963423e 100644 --- a/tests/test_litellm/responses/test_responses_supported_endpoints_passthrough.py +++ b/tests/test_litellm/responses/test_responses_supported_endpoints_passthrough.py @@ -115,13 +115,13 @@ def _respx_interceptable_httpx_client(monkeypatch): ], ) def test_resolver_opt_in_gates_openai_like_config(model_info, expected_type): - config = _resolve_responses_api_provider_config("my-model", "custom_openai", model_info) + config = _resolve_responses_api_provider_config("my-model", "custom_openai", model_info, None) assert type(config) is expected_type def test_resolver_keeps_native_provider_config(): """`openai/` already routes /v1/responses natively; the opt-in must not swap its config.""" - config = _resolve_responses_api_provider_config("gpt-4.1", "openai", OPT_IN) + config = _resolve_responses_api_provider_config("gpt-4.1", "openai", OPT_IN, None) assert type(config) is OpenAIResponsesAPIConfig