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[Feat] Add Support for DELETE /v1/responses/{response_id} on OpenAI, Azure OpenAI (#10205)

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* add transform_delete_response_api_request to base responses config

* add transform_delete_response_api_request

* add delete_response_api_handler

* fixes for deleting responses, response API

* add adelete_responses

* add async test_basic_openai_responses_delete_endpoint

* test_basic_openai_responses_delete_endpoint

* working delete for streaming on responses API

* fixes azure transformation

* TestAnthropicResponsesAPITest

* fix code check

* fix linting

* fixes for get_complete_url

* test_basic_openai_responses_streaming_delete_endpoint

* streaming fixes
This commit is contained in:
Ishaan Jaff 2025-04-22 18:27:03 -07:00 • committed by GitHub
parent 2bb51866b1
commit 868cdd0226
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GPG key ID: B5690EEEBB952194
15 changed files with 729 additions and 83 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
)
@ -3028,16 +3028,16 @@ 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
@ -3060,10 +3060,10 @@ 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(
@ -4079,9 +4079,9 @@ 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:
@ -6625,8 +6625,8 @@ class ProviderConfigManager:
@staticmethod
def get_provider_responses_api_config(
model: str,
provider: LlmProviders,
model: Optional[str] = None,
) -> Optional[BaseResponsesAPIConfig]:
if litellm.LlmProviders.OPENAI == provider:
return litellm.OpenAIResponsesAPIConfig()