Merge pull request #3936 from BerriAI/litellm_assistants_api_proxy

feat(proxy_server.py): add assistants api endpoints to proxy server
This commit is contained in:
Krish Dholakia 2024-05-31 18:43:22 -07:00 committed by GitHub
commit 08bae3185a
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
6 changed files with 1741 additions and 50 deletions

View file

@ -5306,6 +5306,765 @@ async def audio_transcriptions(
)
######################################################################
# /v1/assistant Endpoints
######################################################################
@router.get(
"/v1/assistants",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.get(
"/assistants",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def get_assistants(
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
# Use orjson to parse JSON data, orjson speeds up requests significantly
body = await request.body()
data = orjson.loads(body)
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "metadata" not in data:
data["metadata"] = {}
data["metadata"]["user_api_key"] = user_api_key_dict.api_key
data["metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["metadata"]["headers"] = _headers
data["metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.aget_assistants(
custom_llm_provider="openai", client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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.post(
"/v1/threads",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.post(
"/threads",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def create_threads(
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
# Use orjson to parse JSON data, orjson speeds up requests significantly
body = await request.body()
data = orjson.loads(body)
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "litellm_metadata" not in data:
data["litellm_metadata"] = {}
data["litellm_metadata"]["user_api_key"] = user_api_key_dict.api_key
data["litellm_metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["litellm_metadata"]["headers"] = _headers
data["litellm_metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["litellm_metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["litellm_metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["litellm_metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["litellm_metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["litellm_metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["litellm_metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.acreate_thread(
custom_llm_provider="openai", client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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(
"/v1/threads/{thread_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.get(
"/threads/{thread_id}",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def get_thread(
request: Request,
thread_id: str,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "metadata" not in data:
data["metadata"] = {}
data["metadata"]["user_api_key"] = user_api_key_dict.api_key
data["metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["metadata"]["headers"] = _headers
data["metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.aget_thread(
custom_llm_provider="openai", thread_id=thread_id, client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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.post(
"/v1/threads/{thread_id}/messages",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.post(
"/threads/{thread_id}/messages",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def add_messages(
request: Request,
thread_id: str,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
# Use orjson to parse JSON data, orjson speeds up requests significantly
body = await request.body()
data = orjson.loads(body)
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "litellm_metadata" not in data:
data["litellm_metadata"] = {}
data["litellm_metadata"]["user_api_key"] = user_api_key_dict.api_key
data["litellm_metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["litellm_metadata"]["headers"] = _headers
data["litellm_metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["litellm_metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["litellm_metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["litellm_metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["litellm_metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["litellm_metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["litellm_metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.a_add_message(
custom_llm_provider="openai", thread_id=thread_id, client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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(
"/v1/threads/{thread_id}/messages",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.get(
"/threads/{thread_id}/messages",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def get_messages(
request: Request,
thread_id: str,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "metadata" not in data:
data["metadata"] = {}
data["metadata"]["user_api_key"] = user_api_key_dict.api_key
data["metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["metadata"]["headers"] = _headers
data["metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.aget_messages(
custom_llm_provider="openai", thread_id=thread_id, client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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(
"/v1/threads/{thread_id}/runs",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
@router.get(
"/threads/{thread_id}/runs",
dependencies=[Depends(user_api_key_auth)],
tags=["assistants"],
)
async def run_thread(
request: Request,
thread_id: str,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
global proxy_logging_obj
data: Dict = {}
try:
body = await request.body()
data = orjson.loads(body)
# Include original request and headers in the data
data["proxy_server_request"] = { # type: ignore
"url": str(request.url),
"method": request.method,
"headers": dict(request.headers),
"body": copy.copy(data), # use copy instead of deepcopy
}
if data.get("user", None) is None and user_api_key_dict.user_id is not None:
data["user"] = user_api_key_dict.user_id
if "litellm_metadata" not in data:
data["litellm_metadata"] = {}
data["litellm_metadata"]["user_api_key"] = user_api_key_dict.api_key
data["litellm_metadata"]["user_api_key_metadata"] = user_api_key_dict.metadata
_headers = dict(request.headers)
_headers.pop(
"authorization", None
) # do not store the original `sk-..` api key in the db
data["litellm_metadata"]["headers"] = _headers
data["litellm_metadata"]["user_api_key_alias"] = getattr(
user_api_key_dict, "key_alias", None
)
data["litellm_metadata"]["user_api_key_user_id"] = user_api_key_dict.user_id
data["litellm_metadata"]["user_api_key_team_id"] = getattr(
user_api_key_dict, "team_id", None
)
data["litellm_metadata"]["global_max_parallel_requests"] = general_settings.get(
"global_max_parallel_requests", None
)
data["litellm_metadata"]["user_api_key_team_alias"] = getattr(
user_api_key_dict, "team_alias", None
)
data["litellm_metadata"]["endpoint"] = str(request.url)
### TEAM-SPECIFIC PARAMS ###
if user_api_key_dict.team_id is not None:
team_config = await proxy_config.load_team_config(
team_id=user_api_key_dict.team_id
)
if len(team_config) == 0:
pass
else:
team_id = team_config.pop("team_id", None)
data["litellm_metadata"]["team_id"] = team_id
data = {
**team_config,
**data,
} # add the team-specific configs to the completion call
# for now use custom_llm_provider=="openai" -> this will change as LiteLLM adds more providers for acreate_batch
if llm_router is None:
raise HTTPException(
status_code=500, detail={"error": CommonProxyErrors.no_llm_router.value}
)
response = await llm_router.arun_thread(
custom_llm_provider="openai", thread_id=thread_id, client=None, **data
)
### ALERTING ###
data["litellm_status"] = "success" # used for alerting
### 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:
data["litellm_status"] = "fail" # used for alerting
await proxy_logging_obj.post_call_failure_hook(
user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
)
traceback.print_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_traceback = traceback.format_exc()
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),
)
######################################################################
# /v1/batches Endpoints