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from fastapi import APIRouter, Depends, Request, Response
from litellm.proxy._types import *
from litellm.proxy.auth.user_api_key_auth import UserAPIKeyAuth, user_api_key_auth
from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
router = APIRouter()
@router.post(
"/v1/responses",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
@router.post(
"/responses",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
async def responses_api(
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Follows the OpenAI Responses API spec: https://platform.openai.com/docs/api-reference/responses
```bash
curl -X POST http://localhost:4000/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "gpt-4o",
"input": "Tell me about AI"
}'
```
"""
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)
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="aresponses",
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(
"/v1/responses/{response_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
@router.get(
"/responses/{response_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
async def get_response(
response_id: str,
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Get a response by ID.
Follows the OpenAI Responses API spec: https://platform.openai.com/docs/api-reference/responses/get
```bash
curl -X GET http://localhost:4000/v1/responses/resp_abc123 \
-H "Authorization: Bearer sk-1234"
```
"""
# TODO: Implement response retrieval logic
pass
@router.delete(
"/v1/responses/{response_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
@router.delete(
"/responses/{response_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
async def delete_response(
response_id: str,
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Delete a response by ID.
Follows the OpenAI Responses API spec: https://platform.openai.com/docs/api-reference/responses/delete
```bash
curl -X DELETE http://localhost:4000/v1/responses/resp_abc123 \
-H "Authorization: Bearer sk-1234"
```
"""
# TODO: Implement response deletion logic
pass
@router.get(
"/v1/responses/{response_id}/input_items",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
@router.get(
"/responses/{response_id}/input_items",
dependencies=[Depends(user_api_key_auth)],
tags=["responses"],
)
async def get_response_input_items(
response_id: str,
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Get input items for a response.
Follows the OpenAI Responses API spec: https://platform.openai.com/docs/api-reference/responses/input-items
```bash
curl -X GET http://localhost:4000/v1/responses/resp_abc123/input_items \
-H "Authorization: Bearer sk-1234"
```
"""
# TODO: Implement input items retrieval logic
pass
|
