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[Feat] Add GET, DELETE Responses endpoints on LiteLLM Proxy (#10297)

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* add GET responses endpoints on router

* add GET responses endpoints on router

* add GET responses endpoints on router

* add DELETE responses endpoints on proxy

* fixes for testing GET, DELETE endpoints

* test_basic_responses api e2e
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Ishaan Jaff 2025-04-24 17:34:26 -07:00 • committed by GitHub
parent 0a2c964db7
commit 5de101ab7b
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8 changed files with 182 additions and 20 deletions
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16
litellm/proxy/common_request_processing.py
View file

@ -108,7 +108,13 @@ class ProxyBaseLLMRequestProcessing:
user_api_key_dict: UserAPIKeyAuth,
proxy_logging_obj: ProxyLogging,
proxy_config: ProxyConfig,
route_type: Literal["acompletion", "aresponses", "_arealtime"],
route_type: Literal[
"acompletion",
"aresponses",
"_arealtime",
"aget_responses",
"adelete_responses",
],
version: Optional[str] = None,
user_model: Optional[str] = None,
user_temperature: Optional[float] = None,
@ -178,7 +184,13 @@ class ProxyBaseLLMRequestProcessing:
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth,
route_type: Literal["acompletion", "aresponses", "_arealtime"],
route_type: Literal[
"acompletion",
"aresponses",
"_arealtime",
"aget_responses",
"adelete_responses",
],
proxy_logging_obj: ProxyLogging,
general_settings: dict,
proxy_config: ProxyConfig,

14
litellm/proxy/proxy_config.yaml
View file

@ -1,16 +1,8 @@
model_list:
- model_name: azure-computer-use-preview
- model_name: openai/*
litellm_params:
model: azure/computer-use-preview
api_key: mock-api-key
api_version: mock-api-version
api_base: https://mock-endpoint.openai.azure.com
- model_name: azure-computer-use-preview
litellm_params:
model: azure/computer-use-preview-2
api_key: mock-api-key-2
api_version: mock-api-version-2
api_base: https://mock-endpoint-2.openai.azure.com
model: openai/*
api_key: os.environ/OPENAI_API_KEY
router_settings:
optional_pre_call_checks: ["responses_api_deployment_check"]

92
litellm/proxy/response_api_endpoints/endpoints.py
View file

@ -106,8 +106,50 @@ async def get_response(
-H "Authorization: Bearer sk-1234"
```
"""
# TODO: Implement response retrieval logic
pass
from litellm.proxy.proxy_server import (
_read_request_body,
general_settings,
llm_router,
proxy_config,
proxy_logging_obj,
select_data_generator,
user_api_base,
user_max_tokens,
user_model,
user_request_timeout,
user_temperature,
version,
)
data = await _read_request_body(request=request)
data["response_id"] = response_id
processor = ProxyBaseLLMRequestProcessing(data=data)
try:
return await processor.base_process_llm_request(
request=request,
fastapi_response=fastapi_response,
user_api_key_dict=user_api_key_dict,
route_type="aget_responses",
proxy_logging_obj=proxy_logging_obj,
llm_router=llm_router,
general_settings=general_settings,
proxy_config=proxy_config,
select_data_generator=select_data_generator,
model=None,
user_model=user_model,
user_temperature=user_temperature,
user_request_timeout=user_request_timeout,
user_max_tokens=user_max_tokens,
user_api_base=user_api_base,
version=version,
)
except Exception as e:
raise await processor._handle_llm_api_exception(
e=e,
user_api_key_dict=user_api_key_dict,
proxy_logging_obj=proxy_logging_obj,
version=version,
)
@router.delete(
@ -136,8 +178,50 @@ async def delete_response(
-H "Authorization: Bearer sk-1234"
```
"""
# TODO: Implement response deletion logic
pass
from litellm.proxy.proxy_server import (
_read_request_body,
general_settings,
llm_router,
proxy_config,
proxy_logging_obj,
select_data_generator,
user_api_base,
user_max_tokens,
user_model,
user_request_timeout,
user_temperature,
version,
)
data = await _read_request_body(request=request)
data["response_id"] = response_id
processor = ProxyBaseLLMRequestProcessing(data=data)
try:
return await processor.base_process_llm_request(
request=request,
fastapi_response=fastapi_response,
user_api_key_dict=user_api_key_dict,
route_type="adelete_responses",
proxy_logging_obj=proxy_logging_obj,
llm_router=llm_router,
general_settings=general_settings,
proxy_config=proxy_config,
select_data_generator=select_data_generator,
model=None,
user_model=user_model,
user_temperature=user_temperature,
user_request_timeout=user_request_timeout,
user_max_tokens=user_max_tokens,
user_api_base=user_api_base,
version=version,
)
except Exception as e:
raise await processor._handle_llm_api_exception(
e=e,
user_api_key_dict=user_api_key_dict,
proxy_logging_obj=proxy_logging_obj,
version=version,
)
@router.get(

2
litellm/proxy/route_llm_request.py
View file

@ -47,6 +47,8 @@ async def route_request(
"amoderation",
"arerank",
"aresponses",
"aget_responses",
"adelete_responses",
"_arealtime", # private function for realtime API
],
):

10
litellm/responses/utils.py
View file

@ -176,6 +176,16 @@ class ResponsesAPIRequestUtils:
response_id=response_id,
)
@staticmethod
def get_model_id_from_response_id(response_id: Optional[str]) -> Optional[str]:
"""Get the model_id from the response_id"""
if response_id is None:
return None
decoded_response_id = (
ResponsesAPIRequestUtils._decode_responses_api_response_id(response_id)
)
return decoded_response_id.get("model_id") or None
class ResponseAPILoggingUtils:
@staticmethod

35
litellm/router.py
View file

@ -739,6 +739,12 @@ class Router:
litellm.afile_content, call_type="afile_content"
)
self.responses = self.factory_function(litellm.responses, call_type="responses")
self.aget_responses = self.factory_function(
litellm.aget_responses, call_type="aget_responses"
)
self.adelete_responses = self.factory_function(
litellm.adelete_responses, call_type="adelete_responses"
)
def validate_fallbacks(self, fallback_param: Optional[List]):
"""
@ -3081,6 +3087,8 @@ class Router:
"anthropic_messages",
"aresponses",
"responses",
"aget_responses",
"adelete_responses",
"afile_delete",
"afile_content",
] = "assistants",
@ -3135,6 +3143,11 @@ class Router:
original_function=original_function,
**kwargs,
)
elif call_type in ("aget_responses", "adelete_responses"):
return await self._init_responses_api_endpoints(
original_function=original_function,
**kwargs,
)
elif call_type in ("afile_delete", "afile_content"):
return await self._ageneric_api_call_with_fallbacks(
original_function=original_function,
@ -3145,6 +3158,28 @@ class Router:
return async_wrapper
async def _init_responses_api_endpoints(
self,
original_function: Callable,
**kwargs,
):
"""
Initialize the Responses API endpoints on the router.
GET, DELETE Responses API Requests encode the model_id in the response_id, this function decodes the response_id and sets the model to the model_id.
"""
from litellm.responses.utils import ResponsesAPIRequestUtils
model_id = ResponsesAPIRequestUtils.get_model_id_from_response_id(
kwargs.get("response_id")
)
if model_id is not None:
kwargs["model"] = model_id
return await self._ageneric_api_call_with_fallbacks(
original_function=original_function,
**kwargs,
)
async def _pass_through_assistants_endpoint_factory(
self,
original_function: Callable,

22
tests/openai_endpoints_tests/test_e2e_openai_responses_api.py
View file

@ -73,15 +73,31 @@ def validate_stream_chunk(chunk):
def test_basic_response():
client = get_test_client()
response = client.responses.create(
model="gpt-4o", input="just respond with the word 'ping'"
model="gpt-4.0", input="just respond with the word 'ping'"
)
print("basic response=", response)
# get the response
response = client.responses.retrieve(response.id)
print("GET response=", response)
# delete the response
delete_response = client.responses.delete(response.id)
print("DELETE response=", delete_response)
# try getting the response again, we should not get it back
get_response = client.responses.retrieve(response.id)
print("GET response after delete=", get_response)
with pytest.raises(Exception):
get_response = client.responses.retrieve(response.id)
def test_streaming_response():
client = get_test_client()
stream = client.responses.create(
model="gpt-4o", input="just respond with the word 'ping'", stream=True
model="gpt-4.0", input="just respond with the word 'ping'", stream=True
)
collected_chunks = []
@ -104,5 +120,5 @@ def test_bad_request_bad_param_error():
with pytest.raises(BadRequestError):
# Trigger error with invalid model name
client.responses.create(
model="gpt-4o", input="This should fail", temperature=2000
model="gpt-4.0", input="This should fail", temperature=2000
)

11
tests/router_unit_tests/test_router_helper_utils.py
View file

@ -1157,3 +1157,14 @@ def test_cached_get_model_group_info(model_list):
# Verify the cache info shows hits
cache_info = router._cached_get_model_group_info.cache_info()
assert cache_info.hits > 0 # Should have at least one cache hit
def test_init_responses_api_endpoints(model_list):
"""Test if the '_init_responses_api_endpoints' function is working correctly"""
from typing import Callable
router = Router(model_list=model_list)
assert router.aget_responses is not None
assert isinstance(router.aget_responses, Callable)
assert router.adelete_responses is not None
assert isinstance(router.adelete_responses, Callable)