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[Feat] Unified Responses API - Add Azure Responses API support (#10116)

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* initial commit for azure responses api support

* update get complete url

* fixes for responses API

* working azure responses API

* working responses API

* test suite for responses API

* azure responses API test suite

* fix test with complete url

* fix test refactor

* test fix metadata checks

* fix code quality check
This commit is contained in:
Ishaan Jaff 2025-04-17 16:47:59 -07:00 • committed by GitHub
parent 8be8022914
commit d3e04eac7f
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11 changed files with 428 additions and 191 deletions
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40
litellm/utils.py
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@ -516,9 +516,9 @@ def function_setup( # noqa: PLR0915
function_id: Optional[str] = kwargs["id"] if "id" in kwargs else None
## DYNAMIC CALLBACKS ##
dynamic_callbacks: Optional[
List[Union[str, Callable, CustomLogger]]
] = kwargs.pop("callbacks", None)
dynamic_callbacks: Optional[List[Union[str, Callable, CustomLogger]]] = (
kwargs.pop("callbacks", None)
)
all_callbacks = get_dynamic_callbacks(dynamic_callbacks=dynamic_callbacks)
if len(all_callbacks) > 0:
@ -1202,9 +1202,9 @@ def client(original_function): # noqa: PLR0915
exception=e,
retry_policy=kwargs.get("retry_policy"),
)
kwargs[
"retry_policy"
] = reset_retry_policy() # prevent infinite loops
kwargs["retry_policy"] = (
reset_retry_policy()
) # prevent infinite loops
litellm.num_retries = (
None # set retries to None to prevent infinite loops
)
@ -3013,16 +3013,16 @@ def get_optional_params( # noqa: PLR0915
True # so that main.py adds the function call to the prompt
)
if "tools" in non_default_params:
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("tools")
optional_params["functions_unsupported_model"] = (
non_default_params.pop("tools")
)
non_default_params.pop(
"tool_choice", None
) # causes ollama requests to hang
elif "functions" in non_default_params:
optional_params[
"functions_unsupported_model"
] = non_default_params.pop("functions")
optional_params["functions_unsupported_model"] = (
non_default_params.pop("functions")
)
elif (
litellm.add_function_to_prompt
): # if user opts to add it to prompt instead
@ -3045,10 +3045,10 @@ def get_optional_params( # noqa: PLR0915
if "response_format" in non_default_params:
if provider_config is not None:
non_default_params[
"response_format"
] = provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
non_default_params["response_format"] = (
provider_config.get_json_schema_from_pydantic_object(
response_format=non_default_params["response_format"]
)
)
else:
non_default_params["response_format"] = type_to_response_format_param(
@ -4064,9 +4064,9 @@ def _count_characters(text: str) -> int:
def get_response_string(response_obj: Union[ModelResponse, ModelResponseStream]) -> str:
_choices: Union[
List[Union[Choices, StreamingChoices]], List[StreamingChoices]
] = response_obj.choices
_choices: Union[List[Union[Choices, StreamingChoices]], List[StreamingChoices]] = (
response_obj.choices
)
response_str = ""
for choice in _choices:
@ -6602,6 +6602,8 @@ class ProviderConfigManager:
) -> Optional[BaseResponsesAPIConfig]:
if litellm.LlmProviders.OPENAI == provider:
return litellm.OpenAIResponsesAPIConfig()
elif litellm.LlmProviders.AZURE == provider:
return litellm.AzureOpenAIResponsesAPIConfig()
return None
@staticmethod