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litellm-mirror/litellm/proxy/openai_files_endpoints/files_endpoints.py
Krrish Dholakia 7398e94472 fix(files_endpoints.py): fix multiple args error
2024-08-22 16:42:44 -07:00

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######################################################################
# /v1/files Endpoints
# Equivalent of https://platform.openai.com/docs/api-reference/files
######################################################################
import asyncio
import traceback
from datetime import datetime, timedelta, timezone
from typing import List, Optional
import fastapi
import httpx
from fastapi import (
APIRouter,
Depends,
File,
Form,
Header,
HTTPException,
Request,
Response,
UploadFile,
status,
)
import litellm
from litellm import CreateFileRequest, FileContentRequest
from litellm._logging import verbose_proxy_logger
from litellm.batches.main import FileObject
from litellm.proxy._types import *
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
router = APIRouter()
files_config = None
def set_files_config(config):
global files_config
if config is None:
return
if not isinstance(config, list):
raise ValueError("invalid files config, expected a list is not a list")
for element in config:
if isinstance(element, dict):
for key, value in element.items():
if isinstance(value, str) and value.startswith("os.environ/"):
element[key] = litellm.get_secret(value)
files_config = config
def get_files_provider_config(
custom_llm_provider: str,
):
global files_config
if files_config is None:
raise ValueError("files_config is not set, set it on your config.yaml file.")
for setting in files_config:
if setting.get("custom_llm_provider") == custom_llm_provider:
return setting
return None
@router.post(
"/{provider}/v1/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.post(
"/v1/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.post(
"/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
async def create_file(
request: Request,
fastapi_response: Response,
purpose: str = Form(...),
provider: Optional[str] = None,
custom_llm_provider: str = Form(default="openai"),
file: UploadFile = File(...),
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Upload a file that can be used across - Assistants API, Batch API
This is the equivalent of POST https://api.openai.com/v1/files
Supports Identical Params as: https://platform.openai.com/docs/api-reference/files/create
Example Curl
```
curl http://localhost:4000/v1/files \
-H "Authorization: Bearer sk-1234" \
-F purpose="batch" \
-F file="@mydata.jsonl"
```
"""
from litellm.proxy.proxy_server import (
add_litellm_data_to_request,
general_settings,
get_custom_headers,
proxy_config,
proxy_logging_obj,
version,
)
data: Dict = {}
try:
if provider is not None:
custom_llm_provider = provider
# Use orjson to parse JSON data, orjson speeds up requests significantly
# Read the file content
file_content = await file.read()
# Prepare the data for forwarding
data = {"purpose": purpose}
# Include original request and headers in the data
data = await add_litellm_data_to_request(
data=data,
request=request,
general_settings=general_settings,
user_api_key_dict=user_api_key_dict,
version=version,
proxy_config=proxy_config,
)
# Prepare the file data according to FileTypes
file_data = (file.filename, file_content, file.content_type)
_create_file_request = CreateFileRequest(file=file_data, **data)
# get configs for custom_llm_provider
llm_provider_config = get_files_provider_config(
custom_llm_provider=custom_llm_provider
)
# add llm_provider_config to data
_create_file_request.update(llm_provider_config)
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
response = await litellm.acreate_file(**_create_file_request) # type: ignore
### ALERTING ###
asyncio.create_task(
proxy_logging_obj.update_request_status(
litellm_call_id=data.get("litellm_call_id", ""), status="success"
)
)
### RESPONSE HEADERS ###
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None) or ""
cache_key = hidden_params.get("cache_key", None) or ""
api_base = hidden_params.get("api_base", None) or ""
fastapi_response.headers.update(
get_custom_headers(
user_api_key_dict=user_api_key_dict,
model_id=model_id,
cache_key=cache_key,
api_base=api_base,
version=version,
model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
)
)
return response
except Exception as e:
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.create_file(): Exception occured - {}".format(
str(e)
)
)
verbose_proxy_logger.debug(traceback.format_exc())
if isinstance(e, HTTPException):
raise ProxyException(
message=getattr(e, "message", str(e.detail)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
)
else:
error_msg = f"{str(e)}"
raise ProxyException(
message=getattr(e, "message", error_msg),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", 500),
)
@router.get(
"/{provider}/v1/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/v1/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
async def get_file(
request: Request,
fastapi_response: Response,
file_id: str,
provider: Optional[str] = None,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Returns information about a specific file. that can be used across - Assistants API, Batch API
This is the equivalent of GET https://api.openai.com/v1/files/{file_id}
Supports Identical Params as: https://platform.openai.com/docs/api-reference/files/retrieve
Example Curl
```
curl http://localhost:4000/v1/files/file-abc123 \
-H "Authorization: Bearer sk-1234"
```
"""
from litellm.proxy.proxy_server import (
add_litellm_data_to_request,
general_settings,
get_custom_headers,
proxy_config,
proxy_logging_obj,
version,
)
data: Dict = {}
try:
# Include original request and headers in the data
data = await add_litellm_data_to_request(
data=data,
request=request,
general_settings=general_settings,
user_api_key_dict=user_api_key_dict,
version=version,
proxy_config=proxy_config,
)
if provider is None: # default to openai
provider = "openai"
response = await litellm.afile_retrieve(
custom_llm_provider=provider, file_id=file_id, **data # type: ignore
)
### ALERTING ###
asyncio.create_task(
proxy_logging_obj.update_request_status(
litellm_call_id=data.get("litellm_call_id", ""), status="success"
)
)
### RESPONSE HEADERS ###
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None) or ""
cache_key = hidden_params.get("cache_key", None) or ""
api_base = hidden_params.get("api_base", None) or ""
fastapi_response.headers.update(
get_custom_headers(
user_api_key_dict=user_api_key_dict,
model_id=model_id,
cache_key=cache_key,
api_base=api_base,
version=version,
model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
)
)
return response
except Exception as e:
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.retrieve_file(): Exception occured - {}".format(
str(e)
)
)
verbose_proxy_logger.debug(traceback.format_exc())
if isinstance(e, HTTPException):
raise ProxyException(
message=getattr(e, "message", str(e.detail)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
)
else:
error_msg = f"{str(e)}"
raise ProxyException(
message=getattr(e, "message", error_msg),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", 500),
)
@router.delete(
"/{provider}/v1/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.delete(
"/v1/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.delete(
"/files/{file_id:path}",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
async def delete_file(
request: Request,
fastapi_response: Response,
file_id: str,
provider: Optional[str] = None,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Deletes a specified file. that can be used across - Assistants API, Batch API
This is the equivalent of DELETE https://api.openai.com/v1/files/{file_id}
Supports Identical Params as: https://platform.openai.com/docs/api-reference/files/delete
Example Curl
```
curl http://localhost:4000/v1/files/file-abc123 \
-X DELETE \
-H "Authorization: Bearer $OPENAI_API_KEY"
```
"""
from litellm.proxy.proxy_server import (
add_litellm_data_to_request,
general_settings,
get_custom_headers,
proxy_config,
proxy_logging_obj,
version,
)
data: Dict = {}
try:
# Include original request and headers in the data
data = await add_litellm_data_to_request(
data=data,
request=request,
general_settings=general_settings,
user_api_key_dict=user_api_key_dict,
version=version,
proxy_config=proxy_config,
)
if provider is None: # default to openai
provider = "openai"
response = await litellm.afile_delete(
custom_llm_provider=provider, file_id=file_id, **data # type: ignore
)
### ALERTING ###
asyncio.create_task(
proxy_logging_obj.update_request_status(
litellm_call_id=data.get("litellm_call_id", ""), status="success"
)
)
### RESPONSE HEADERS ###
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None) or ""
cache_key = hidden_params.get("cache_key", None) or ""
api_base = hidden_params.get("api_base", None) or ""
fastapi_response.headers.update(
get_custom_headers(
user_api_key_dict=user_api_key_dict,
model_id=model_id,
cache_key=cache_key,
api_base=api_base,
version=version,
model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
)
)
return response
except Exception as e:
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.retrieve_file(): Exception occured - {}".format(
str(e)
)
)
verbose_proxy_logger.debug(traceback.format_exc())
if isinstance(e, HTTPException):
raise ProxyException(
message=getattr(e, "message", str(e.detail)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
)
else:
error_msg = f"{str(e)}"
raise ProxyException(
message=getattr(e, "message", error_msg),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", 500),
)
@router.get(
"/{provider}/v1/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/v1/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/files",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
async def list_files(
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
provider: Optional[str] = None,
purpose: Optional[str] = None,
):
"""
Returns information about a specific file. that can be used across - Assistants API, Batch API
This is the equivalent of GET https://api.openai.com/v1/files/
Supports Identical Params as: https://platform.openai.com/docs/api-reference/files/list
Example Curl
```
curl http://localhost:4000/v1/files\
-H "Authorization: Bearer sk-1234"
```
"""
from litellm.proxy.proxy_server import (
add_litellm_data_to_request,
general_settings,
get_custom_headers,
proxy_config,
proxy_logging_obj,
version,
)
data: Dict = {}
try:
# Include original request and headers in the data
data = await add_litellm_data_to_request(
data=data,
request=request,
general_settings=general_settings,
user_api_key_dict=user_api_key_dict,
version=version,
proxy_config=proxy_config,
)
if provider is None:
provider = "openai"
response = await litellm.afile_list(
custom_llm_provider=provider, purpose=purpose, **data # type: ignore
)
### ALERTING ###
asyncio.create_task(
proxy_logging_obj.update_request_status(
litellm_call_id=data.get("litellm_call_id", ""), status="success"
)
)
### RESPONSE HEADERS ###
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None) or ""
cache_key = hidden_params.get("cache_key", None) or ""
api_base = hidden_params.get("api_base", None) or ""
fastapi_response.headers.update(
get_custom_headers(
user_api_key_dict=user_api_key_dict,
model_id=model_id,
cache_key=cache_key,
api_base=api_base,
version=version,
model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
)
)
return response
except Exception as e:
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.list_files(): Exception occured - {}".format(
str(e)
)
)
verbose_proxy_logger.debug(traceback.format_exc())
if isinstance(e, HTTPException):
raise ProxyException(
message=getattr(e, "message", str(e.detail)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
)
else:
error_msg = f"{str(e)}"
raise ProxyException(
message=getattr(e, "message", error_msg),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", 500),
)
@router.get(
"/{provider}/v1/files/{file_id:path}/content",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/v1/files/{file_id:path}/content",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
@router.get(
"/files/{file_id:path}/content",
dependencies=[Depends(user_api_key_auth)],
tags=["files"],
)
async def get_file_content(
request: Request,
fastapi_response: Response,
file_id: str,
provider: Optional[str] = None,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
"""
Returns information about a specific file. that can be used across - Assistants API, Batch API
This is the equivalent of GET https://api.openai.com/v1/files/{file_id}/content
Supports Identical Params as: https://platform.openai.com/docs/api-reference/files/retrieve-contents
Example Curl
```
curl http://localhost:4000/v1/files/file-abc123/content \
-H "Authorization: Bearer sk-1234"
```
"""
from litellm.proxy.proxy_server import (
add_litellm_data_to_request,
general_settings,
get_custom_headers,
proxy_config,
proxy_logging_obj,
version,
)
data: Dict = {}
try:
# Include original request and headers in the data
data = await add_litellm_data_to_request(
data=data,
request=request,
general_settings=general_settings,
user_api_key_dict=user_api_key_dict,
version=version,
proxy_config=proxy_config,
)
if provider is None:
provider = "openai"
response = await litellm.afile_content(
custom_llm_provider=provider, file_id=file_id, **data # type: ignore
)
### ALERTING ###
asyncio.create_task(
proxy_logging_obj.update_request_status(
litellm_call_id=data.get("litellm_call_id", ""), status="success"
)
)
### RESPONSE HEADERS ###
hidden_params = getattr(response, "_hidden_params", {}) or {}
model_id = hidden_params.get("model_id", None) or ""
cache_key = hidden_params.get("cache_key", None) or ""
api_base = hidden_params.get("api_base", None) or ""
fastapi_response.headers.update(
get_custom_headers(
user_api_key_dict=user_api_key_dict,
model_id=model_id,
cache_key=cache_key,
api_base=api_base,
version=version,
model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
)
)
httpx_response: Optional[httpx.Response] = getattr(response, "response", None)
if httpx_response is None:
raise ValueError(
f"Invalid response - response.response is None - got {response}"
)
return Response(
content=httpx_response.content,
status_code=httpx_response.status_code,
headers=httpx_response.headers,
)
except Exception as e:
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.retrieve_file_content(): Exception occured - {}".format(
str(e)
)
)
verbose_proxy_logger.debug(traceback.format_exc())
if isinstance(e, HTTPException):
raise ProxyException(
message=getattr(e, "message", str(e.detail)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
)
else:
error_msg = f"{str(e)}"
raise ProxyException(
message=getattr(e, "message", error_msg),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", 500),
)
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