Merge branch 'main' into litellm_add_azure_ai_pricing

This commit is contained in:
Krish Dholakia 2024-07-13 21:50:26 -07:00 • committed by GitHub
commit 7bc9a189e7
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
49 changed files with 559 additions and 127 deletions

View file

@ -156,6 +156,8 @@ POST /api/public/ingestion HTTP/1.1" 207 Multi-Status
Use this if you want the pass through endpoint to honour LiteLLM keys/authentication
This also enforces the key's rpm limits on pass-through endpoints.
Usage - set `auth: true` on the config
```yaml
general_settings:
@ -361,4 +363,5 @@ curl --location 'http://0.0.0.0:4000/v1/messages' \
{"role": "user", "content": "Hello, world"}
]
}'
```
```

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@ -876,6 +876,7 @@ from .exceptions import (
InternalServerError,
JSONSchemaValidationError,
LITELLM_EXCEPTION_TYPES,
MockException,
)
from .budget_manager import BudgetManager
from .proxy.proxy_cli import run_server

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@ -1668,6 +1668,9 @@ class DualCache(BaseCache):
self.redis_cache.flush_cache()
def delete_cache(self, key):
"""
Delete a key from the cache
"""
if self.in_memory_cache is not None:
self.in_memory_cache.delete_cache(key)
if self.redis_cache is not None:

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@ -723,3 +723,28 @@ class InvalidRequestError(openai.BadRequestError): # type: ignore
super().__init__(
self.message, f"{self.model}"
) # Call the base class constructor with the parameters it needs
class MockException(openai.APIError):
# used for testing
def __init__(
self,
status_code,
message,
llm_provider,
model,
request: Optional[httpx.Request] = None,
litellm_debug_info: Optional[str] = None,
max_retries: Optional[int] = None,
num_retries: Optional[int] = None,
):
self.status_code = status_code
self.message = "litellm.MockException: {}".format(message)
self.llm_provider = llm_provider
self.model = model
self.litellm_debug_info = litellm_debug_info
self.max_retries = max_retries
self.num_retries = num_retries
if request is None:
request = httpx.Request(method="POST", url="https://api.openai.com/v1")
super().__init__(self.message, request=request, body=None) # type: ignore

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@ -99,6 +99,7 @@ class CustomLogger: # https://docs.litellm.ai/docs/observability/custom_callbac
"image_generation",
"moderation",
"audio_transcription",
"pass_through_endpoint",
],
) -> Optional[
Union[Exception, str, dict]

View file

@ -479,7 +479,7 @@ def mock_completion(
if isinstance(mock_response, Exception):
if isinstance(mock_response, openai.APIError):
raise mock_response
raise litellm.APIError(
raise litellm.MockException(
status_code=getattr(mock_response, "status_code", 500), # type: ignore
message=getattr(mock_response, "text", str(mock_response)),
llm_provider=getattr(mock_response, "llm_provider", custom_llm_provider or "openai"), # type: ignore

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@ -1 +1 @@
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1:null

View file

@ -2,6 +2,6 @@
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4:I[5613,[],""]
5:I[31778,[],""]
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1:null

View file

@ -14,10 +14,12 @@ model_list:
general_settings:
alerting_threshold: 10
master_key: sk-1234
pass_through_endpoints:
- path: "/v1/test-messages" # route you want to add to LiteLLM Proxy Server
target: litellm.adapters.anthropic_adapter.anthropic_adapter # URL this route should forward requests to
headers: # headers to forward to this URL
litellm_user_api_key: "x-my-test-key"
- path: "/v1/rerank"
target: "https://api.cohere.com/v1/rerank"
auth: true # 👈 Key change to use LiteLLM Auth / Keys
headers:
Authorization: "bearer os.environ/COHERE_API_KEY"
content-type: application/json
accept: application/json

View file

@ -1624,11 +1624,17 @@ class ProxyException(Exception):
type: str,
param: Optional[str],
code: Optional[int],
headers: Optional[Dict[str, str]] = None,
):
self.message = message
self.type = type
self.param = param
self.code = code
if headers is not None:
for k, v in headers.items():
if not isinstance(v, str):
headers[k] = str(v)
self.headers = headers or {}
# rules for proxyExceptions
# Litellm router.py returns "No healthy deployment available" when there are no deployments available

View file

@ -96,7 +96,6 @@ async def user_api_key_auth(
anthropic_api_key_header
),
) -> UserAPIKeyAuth:
from litellm.proxy.proxy_server import (
allowed_routes_check,
common_checks,

View file

@ -9,6 +9,19 @@ from litellm._logging import verbose_proxy_logger
router = APIRouter()
if os.environ.get("LITELLM_PROFILE", "false").lower() == "true":
try:
import objgraph
print("growth of objects") # noqa
objgraph.show_growth()
print("\n\nMost common types") # noqa
objgraph.show_most_common_types()
roots = objgraph.get_leaking_objects()
print("\n\nLeaking objects") # noqa
objgraph.show_most_common_types(objects=roots)
except:
pass
tracemalloc.start(10)
@router.get("/memory-usage", include_in_schema=False)
@ -26,6 +39,37 @@ if os.environ.get("LITELLM_PROFILE", "false").lower() == "true":
return {"top_50_memory_usage": result}
@router.get("/memory-usage-in-mem-cache", include_in_schema=False)
async def memory_usage_in_mem_cache():
# returns the size of all in-memory caches on the proxy server
"""
1. user_api_key_cache
2. router_cache
3. proxy_logging_cache
4. internal_usage_cache
"""
from litellm.proxy.proxy_server import (
llm_router,
proxy_logging_obj,
user_api_key_cache,
)
num_items_in_user_api_key_cache = len(
user_api_key_cache.in_memory_cache.cache_dict
) + len(user_api_key_cache.in_memory_cache.ttl_dict)
num_items_in_llm_router_cache = len(
llm_router.cache.in_memory_cache.cache_dict
) + len(llm_router.cache.in_memory_cache.ttl_dict)
num_items_in_proxy_logging_obj_cache = len(
proxy_logging_obj.internal_usage_cache.in_memory_cache.cache_dict
) + len(proxy_logging_obj.internal_usage_cache.in_memory_cache.ttl_dict)
return {
"num_items_in_user_api_key_cache": num_items_in_user_api_key_cache,
"num_items_in_llm_router_cache": num_items_in_llm_router_cache,
"num_items_in_proxy_logging_obj_cache": num_items_in_proxy_logging_obj_cache,
}
@router.get("/otel-spans", include_in_schema=False)
async def get_otel_spans():

View file

@ -1,7 +1,8 @@
from litellm.integrations.custom_logger import CustomLogger
from typing import Literal, Optional
import litellm
from litellm.proxy.proxy_server import UserAPIKeyAuth, DualCache
from typing import Optional, Literal
from litellm.integrations.custom_logger import CustomLogger
from litellm.proxy.proxy_server import DualCache, UserAPIKeyAuth
# This file includes the custom callbacks for LiteLLM Proxy
@ -27,6 +28,7 @@ class MyCustomHandler(
"image_generation",
"moderation",
"audio_transcription",
"pass_through_endpoint",
],
):
return data

View file

@ -198,6 +198,7 @@ class _PROXY_DynamicRateLimitHandler(CustomLogger):
"image_generation",
"moderation",
"audio_transcription",
"pass_through_endpoint",
],
) -> Optional[
Union[Exception, str, dict]

View file

@ -1,12 +1,16 @@
import sys
import traceback
from datetime import datetime, timedelta
from typing import Optional
import litellm, traceback, sys
from litellm.caching import DualCache
from litellm.proxy._types import UserAPIKeyAuth
from litellm.integrations.custom_logger import CustomLogger
from fastapi import HTTPException
from litellm._logging import verbose_proxy_logger
import litellm
from litellm import ModelResponse
from datetime import datetime
from litellm._logging import verbose_proxy_logger
from litellm.caching import DualCache
from litellm.integrations.custom_logger import CustomLogger
from litellm.proxy._types import UserAPIKeyAuth
class _PROXY_MaxParallelRequestsHandler(CustomLogger):
@ -40,9 +44,7 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
if current is None:
if max_parallel_requests == 0 or tpm_limit == 0 or rpm_limit == 0:
# base case
raise HTTPException(
status_code=429, detail="Max parallel request limit reached."
)
return self.raise_rate_limit_error()
new_val = {
"current_requests": 1,
"current_tpm": 0,
@ -69,8 +71,28 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
raise HTTPException(
status_code=429,
detail=f"LiteLLM Rate Limit Handler: Crossed TPM, RPM Limit. current rpm: {current['current_rpm']}, rpm limit: {rpm_limit}, current tpm: {current['current_tpm']}, tpm limit: {tpm_limit}",
headers={"retry-after": str(self.time_to_next_minute())},
)
def time_to_next_minute(self) -> float:
# Get the current time
now = datetime.now()
# Calculate the next minute
next_minute = (now + timedelta(minutes=1)).replace(second=0, microsecond=0)
# Calculate the difference in seconds
seconds_to_next_minute = (next_minute - now).total_seconds()
return seconds_to_next_minute
def raise_rate_limit_error(self) -> HTTPException:
raise HTTPException(
status_code=429,
detail="Max parallel request limit reached.",
headers={"retry-after": str(self.time_to_next_minute())},
)
async def async_pre_call_hook(
self,
user_api_key_dict: UserAPIKeyAuth,
@ -108,9 +130,7 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
current_global_requests = 1
# if above -> raise error
if current_global_requests >= global_max_parallel_requests:
raise HTTPException(
status_code=429, detail="Max parallel request limit reached."
)
return self.raise_rate_limit_error()
# if below -> increment
else:
await self.internal_usage_cache.async_increment_cache(
@ -138,9 +158,7 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
):
pass
elif max_parallel_requests == 0 or tpm_limit == 0 or rpm_limit == 0:
raise HTTPException(
status_code=429, detail="Max parallel request limit reached."
)
return self.raise_rate_limit_error()
elif current is None:
new_val = {
"current_requests": 1,
@ -165,9 +183,7 @@ class _PROXY_MaxParallelRequestsHandler(CustomLogger):
request_count_api_key, new_val
)
else:
raise HTTPException(
status_code=429, detail="Max parallel request limit reached."
)
return self.raise_rate_limit_error()
# check if REQUEST ALLOWED for user_id
user_id = user_api_key_dict.user_id

View file

@ -29,6 +29,10 @@ from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
from litellm.proxy.management_endpoints.key_management_endpoints import (
generate_key_helper_fn,
)
from litellm.proxy.management_helpers.utils import (
add_new_member,
management_endpoint_wrapper,
)
router = APIRouter()
@ -39,7 +43,10 @@ router = APIRouter()
dependencies=[Depends(user_api_key_auth)],
response_model=NewUserResponse,
)
async def new_user(data: NewUserRequest):
@management_endpoint_wrapper
async def new_user(
data: NewUserRequest,
):
"""
Use this to create a new INTERNAL user with a budget.
Internal Users can access LiteLLM Admin UI to make keys, request access to models.
@ -254,6 +261,7 @@ async def ui_get_available_role(
tags=["Internal User management"],
dependencies=[Depends(user_api_key_auth)],
)
@management_endpoint_wrapper
async def user_info(
user_id: Optional[str] = fastapi.Query(
default=None, description="User ID in the request parameters"
@ -441,7 +449,10 @@ async def user_info(
tags=["Internal User management"],
dependencies=[Depends(user_api_key_auth)],
)
async def user_update(data: UpdateUserRequest):
@management_endpoint_wrapper
async def user_update(
data: UpdateUserRequest,
):
"""
Example curl
@ -683,6 +694,7 @@ async def get_users(
tags=["Internal User management"],
dependencies=[Depends(user_api_key_auth)],
)
@management_endpoint_wrapper
async def delete_user(
data: DeleteUserRequest,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),

View file

@ -1,16 +1,29 @@
# What is this?
## Helper utils for the management endpoints (keys/users/teams)
import uuid
from datetime import datetime
from functools import wraps
from litellm.proxy._types import UserAPIKeyAuth, ManagementEndpointLoggingPayload
from litellm.proxy.common_utils.http_parsing_utils import _read_request_body
from litellm._logging import verbose_logger
from typing import Optional
from fastapi import Request
from litellm.proxy._types import LiteLLM_TeamTable, Member, UserAPIKeyAuth
from litellm._logging import verbose_logger
from litellm.proxy._types import ( # key request types; user request types; team request types; customer request types
DeleteCustomerRequest,
DeleteTeamRequest,
DeleteUserRequest,
KeyRequest,
LiteLLM_TeamTable,
ManagementEndpointLoggingPayload,
Member,
UpdateCustomerRequest,
UpdateKeyRequest,
UpdateTeamRequest,
UpdateUserRequest,
UserAPIKeyAuth,
)
from litellm.proxy.common_utils.http_parsing_utils import _read_request_body
from litellm.proxy.utils import PrismaClient
import uuid
from typing import Optional
async def add_new_member(
@ -32,13 +45,8 @@ async def add_new_member(
await prisma_client.db.litellm_usertable.upsert(
where={"user_id": new_member.user_id},
data={
"update": {
"teams": {"push": [team_id]}
},
"create": {
"user_id": new_member.user_id,
"teams": [team_id]
}
"update": {"teams": {"push": [team_id]}},
"create": {"user_id": new_member.user_id, "teams": [team_id]},
},
)
elif new_member.user_email is not None:
@ -77,6 +85,66 @@ async def add_new_member(
)
def _delete_user_id_from_cache(kwargs):
from litellm.proxy.proxy_server import user_api_key_cache
if kwargs.get("data") is not None:
update_user_request = kwargs.get("data")
if isinstance(update_user_request, UpdateUserRequest):
user_api_key_cache.delete_cache(key=update_user_request.user_id)
# delete user request
if isinstance(update_user_request, DeleteUserRequest):
for user_id in update_user_request.user_ids:
user_api_key_cache.delete_cache(key=user_id)
pass
def _delete_api_key_from_cache(kwargs):
from litellm.proxy.proxy_server import user_api_key_cache
if kwargs.get("data") is not None:
update_request = kwargs.get("data")
if isinstance(update_request, UpdateKeyRequest):
user_api_key_cache.delete_cache(key=update_request.key)
# delete key request
if isinstance(update_request, KeyRequest):
for key in update_request.keys:
user_api_key_cache.delete_cache(key=key)
pass
def _delete_team_id_from_cache(kwargs):
from litellm.proxy.proxy_server import user_api_key_cache
if kwargs.get("data") is not None:
update_request = kwargs.get("data")
if isinstance(update_request, UpdateTeamRequest):
user_api_key_cache.delete_cache(key=update_request.team_id)
# delete team request
if isinstance(update_request, DeleteTeamRequest):
for team_id in update_request.team_ids:
user_api_key_cache.delete_cache(key=team_id)
pass
def _delete_customer_id_from_cache(kwargs):
from litellm.proxy.proxy_server import user_api_key_cache
if kwargs.get("data") is not None:
update_request = kwargs.get("data")
if isinstance(update_request, UpdateCustomerRequest):
user_api_key_cache.delete_cache(key=update_request.user_id)
# delete customer request
if isinstance(update_request, DeleteCustomerRequest):
for user_id in update_request.user_ids:
user_api_key_cache.delete_cache(key=user_id)
pass
def management_endpoint_wrapper(func):
"""
This wrapper does the following:
@ -124,22 +192,11 @@ def management_endpoint_wrapper(func):
parent_otel_span=parent_otel_span,
)
if _http_request:
_route = _http_request.url.path
# Flush user_api_key cache if this was an update/delete call to /key, /team, or /user
if _route in [
"/key/update",
"/key/delete",
"/team/update",
"/team/delete",
"/user/update",
"/user/delete",
"/customer/update",
"/customer/delete",
]:
from litellm.proxy.proxy_server import user_api_key_cache
user_api_key_cache.flush_cache()
# Delete updated/deleted info from cache
_delete_api_key_from_cache(kwargs=kwargs)
_delete_user_id_from_cache(kwargs=kwargs)
_delete_team_id_from_cache(kwargs=kwargs)
_delete_customer_id_from_cache(kwargs=kwargs)
except Exception as e:
# Non-Blocking Exception
verbose_logger.debug("Error in management endpoint wrapper: %s", str(e))

View file

@ -3,6 +3,7 @@ import asyncio
import json
import traceback
from base64 import b64encode
from typing import Optional
import httpx
from fastapi import (
@ -22,8 +23,6 @@ from litellm.integrations.custom_logger import CustomLogger
from litellm.proxy._types import ProxyException, UserAPIKeyAuth
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
async_client = httpx.AsyncClient()
async def set_env_variables_in_header(custom_headers: dict):
"""
@ -240,14 +239,28 @@ async def chat_completion_pass_through_endpoint(
)
async def pass_through_request(request: Request, target: str, custom_headers: dict):
async def pass_through_request(
request: Request,
target: str,
custom_headers: dict,
user_api_key_dict: UserAPIKeyAuth,
):
try:
import time
import uuid
from litellm.litellm_core_utils.litellm_logging import Logging
from litellm.proxy.proxy_server import proxy_logging_obj
url = httpx.URL(target)
headers = custom_headers
request_body = await request.body()
_parsed_body = ast.literal_eval(request_body.decode("utf-8"))
body_str = request_body.decode()
try:
_parsed_body = ast.literal_eval(body_str)
except:
_parsed_body = json.loads(body_str)
verbose_proxy_logger.debug(
"Pass through endpoint sending request to \nURL {}\nheaders: {}\nbody: {}\n".format(
@ -255,6 +268,15 @@ async def pass_through_request(request: Request, target: str, custom_headers: di
)
)
### CALL HOOKS ### - modify incoming data / reject request before calling the model
_parsed_body = await proxy_logging_obj.pre_call_hook(
user_api_key_dict=user_api_key_dict,
data=_parsed_body,
call_type="pass_through_endpoint",
)
async_client = httpx.AsyncClient()
response = await async_client.request(
method=request.method,
url=url,
@ -267,6 +289,47 @@ async def pass_through_request(request: Request, target: str, custom_headers: di
raise HTTPException(status_code=response.status_code, detail=response.text)
content = await response.aread()
## LOG SUCCESS
start_time = time.time()
end_time = time.time()
# create logging object
logging_obj = Logging(
model="unknown",
messages=[{"role": "user", "content": "no-message-pass-through-endpoint"}],
stream=False,
call_type="pass_through_endpoint",
start_time=start_time,
litellm_call_id=str(uuid.uuid4()),
function_id="1245",
)
# done for supporting 'parallel_request_limiter.py' with pass-through endpoints
kwargs = {
"litellm_params": {
"metadata": {
"user_api_key": user_api_key_dict.api_key,
"user_api_key_user_id": user_api_key_dict.user_id,
"user_api_key_team_id": user_api_key_dict.team_id,
"user_api_key_end_user_id": user_api_key_dict.user_id,
}
},
"call_type": "pass_through_endpoint",
}
logging_obj.update_environment_variables(
model="unknown",
user="unknown",
optional_params={},
litellm_params=kwargs["litellm_params"],
call_type="pass_through_endpoint",
)
await logging_obj.async_success_handler(
result="",
start_time=start_time,
end_time=end_time,
cache_hit=False,
)
return Response(
content=content,
status_code=response.status_code,
@ -274,8 +337,8 @@ async def pass_through_request(request: Request, target: str, custom_headers: di
)
except Exception as e:
verbose_proxy_logger.error(
"litellm.proxy.proxy_server.pass_through_endpoint(): Exception occured - {}".format(
str(e)
"litellm.proxy.proxy_server.pass_through_endpoint(): Exception occured - {}\n{}".format(
str(e), traceback.format_exc()
)
)
verbose_proxy_logger.debug(traceback.format_exc())
@ -296,7 +359,9 @@ async def pass_through_request(request: Request, target: str, custom_headers: di
)
def create_pass_through_route(endpoint, target: str, custom_headers=None):
def create_pass_through_route(
endpoint, target: str, custom_headers: Optional[dict] = None
):
# check if target is an adapter.py or a url
import uuid
@ -325,8 +390,17 @@ def create_pass_through_route(endpoint, target: str, custom_headers=None):
except Exception:
verbose_proxy_logger.warning("Defaulting to target being a url.")
async def endpoint_func(request: Request): # type: ignore
return await pass_through_request(request, target, custom_headers)
async def endpoint_func(
request: Request,
fastapi_response: Response,
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
):
return await pass_through_request(
request=request,
target=target,
custom_headers=custom_headers or {},
user_api_key_dict=user_api_key_dict,
)
return endpoint_func
@ -349,7 +423,9 @@ async def initialize_pass_through_endpoints(pass_through_endpoints: list):
if _auth is not None and str(_auth).lower() == "true":
if premium_user is not True:
raise ValueError(
f"Error Setting Authentication on Pass Through Endpoint: {CommonProxyErrors.not_premium_user}"
"Error Setting Authentication on Pass Through Endpoint: {}".format(
CommonProxyErrors.not_premium_user.value
)
)
_dependencies = [Depends(user_api_key_auth)]
LiteLLMRoutes.openai_routes.value.append(_path)

View file

@ -329,6 +329,7 @@ class UserAPIKeyCacheTTLEnum(enum.Enum):
@app.exception_handler(ProxyException)
async def openai_exception_handler(request: Request, exc: ProxyException):
# NOTE: DO NOT MODIFY THIS, its crucial to map to Openai exceptions
headers = exc.headers
return JSONResponse(
status_code=(
int(exc.code) if exc.code else status.HTTP_500_INTERNAL_SERVER_ERROR
@ -341,6 +342,7 @@ async def openai_exception_handler(request: Request, exc: ProxyException):
"code": exc.code,
}
},
headers=headers,
)
@ -3003,11 +3005,13 @@ async def chat_completion(
router_model_names = llm_router.model_names if llm_router is not None else []
if isinstance(e, HTTPException):
# print("e.headers={}".format(e.headers))
raise ProxyException(
message=getattr(e, "detail", str(e)),
type=getattr(e, "type", "None"),
param=getattr(e, "param", "None"),
code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
headers=getattr(e, "headers", {}),
)
error_msg = f"{str(e)}"
raise ProxyException(

View file

@ -280,6 +280,10 @@ class ProxyLogging:
async def update_request_status(
self, litellm_call_id: str, status: Literal["success", "fail"]
):
# only use this if slack alerting is being used
if self.alerting is None:
return
await self.internal_usage_cache.async_set_cache(
key="request_status:{}".format(litellm_call_id),
value=status,
@ -299,6 +303,7 @@ class ProxyLogging:
"image_generation",
"moderation",
"audio_transcription",
"pass_through_endpoint",
],
) -> dict:
"""

View file

@ -76,6 +76,7 @@ from litellm.proxy.proxy_server import (
user_api_key_auth,
)
from litellm.proxy.spend_tracking.spend_management_endpoints import (
global_spend,
spend_key_fn,
spend_user_fn,
view_spend_logs,
@ -99,6 +100,7 @@ from litellm.proxy._types import (
ProxyException,
UpdateKeyRequest,
UpdateTeamRequest,
UpdateUserRequest,
UserAPIKeyAuth,
)
from litellm.proxy.utils import DBClient
@ -2488,3 +2490,58 @@ async def test_enforced_params(prisma_client):
in e.message
)
general_settings.pop("enforced_params")
@pytest.mark.asyncio()
async def test_update_user_role(prisma_client):
"""
Tests if we update user role, incorrect values are not stored in cache
-> create a user with role == INTERNAL_USER
-> access an Admin only route -> expect to fail
-> update user role to == PROXY_ADMIN
-> access an Admin only route -> expect to succeed
"""
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
await litellm.proxy.proxy_server.prisma_client.connect()
key = await new_user(
data=NewUserRequest(
user_role=LitellmUserRoles.INTERNAL_USER,
)
)
print(key)
api_key = "Bearer " + key.key
api_route = APIRoute(path="/global/spend", endpoint=global_spend)
request = Request(
{
"type": "http",
"route": api_route,
"path": "/global/spend",
"headers": [("Authorization", api_key)],
}
)
request._url = URL(url="/global/spend")
# use generated key to auth in
try:
result = await user_api_key_auth(request=request, api_key=api_key)
print("result from user auth with new key", result)
except Exception as e:
print(e)
pass
await user_update(
data=UpdateUserRequest(
user_id=key.user_id, user_role=LitellmUserRoles.PROXY_ADMIN
)
)
await asyncio.sleep(2)
# use generated key to auth in
result = await user_api_key_auth(request=request, api_key=api_key)
print("result from user auth with new key", result)

View file

@ -1,9 +1,14 @@
# What this tests?
## Unit Tests for the max parallel request limiter for the proxy
import sys, os, asyncio, time, random
from datetime import datetime
import asyncio
import os
import random
import sys
import time
import traceback
from datetime import datetime
from dotenv import load_dotenv
load_dotenv()
@ -12,16 +17,18 @@ import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
from datetime import datetime
import pytest
import litellm
from litellm import Router
from litellm.proxy.utils import ProxyLogging, hash_token
from litellm.proxy._types import UserAPIKeyAuth
from litellm.caching import DualCache
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.hooks.parallel_request_limiter import (
_PROXY_MaxParallelRequestsHandler as MaxParallelRequestsHandler,
)
from datetime import datetime
from litellm.proxy.utils import ProxyLogging, hash_token
## On Request received
## On Request success
@ -139,6 +146,50 @@ async def test_pre_call_hook_rpm_limits():
assert e.status_code == 429
@pytest.mark.asyncio
async def test_pre_call_hook_rpm_limits_retry_after():
"""
Test if rate limit error, returns 'retry_after'
"""
_api_key = "sk-12345"
user_api_key_dict = UserAPIKeyAuth(
api_key=_api_key, max_parallel_requests=1, tpm_limit=9, rpm_limit=1
)
local_cache = DualCache()
parallel_request_handler = MaxParallelRequestsHandler(
internal_usage_cache=local_cache
)
await parallel_request_handler.async_pre_call_hook(
user_api_key_dict=user_api_key_dict, cache=local_cache, data={}, call_type=""
)
kwargs = {"litellm_params": {"metadata": {"user_api_key": _api_key}}}
await parallel_request_handler.async_log_success_event(
kwargs=kwargs,
response_obj="",
start_time="",
end_time="",
)
## Expected cache val: {"current_requests": 0, "current_tpm": 0, "current_rpm": 1}
try:
await parallel_request_handler.async_pre_call_hook(
user_api_key_dict=user_api_key_dict,
cache=local_cache,
data={},
call_type="",
)
pytest.fail(f"Expected call to fail")
except Exception as e:
assert e.status_code == 429
assert hasattr(e, "headers")
assert "retry-after" in e.headers
@pytest.mark.asyncio
async def test_pre_call_hook_team_rpm_limits():
"""
@ -467,9 +518,10 @@ async def test_normal_router_call():
@pytest.mark.asyncio
async def test_normal_router_tpm_limit():
from litellm._logging import verbose_proxy_logger
import logging
from litellm._logging import verbose_proxy_logger
verbose_proxy_logger.setLevel(level=logging.DEBUG)
model_list = [
{

View file

@ -85,6 +85,67 @@ async def test_pass_through_endpoint_rerank(client):
assert response.status_code == 200
@pytest.mark.parametrize(
"auth, rpm_limit, expected_error_code",
[(True, 0, 429), (True, 1, 200), (False, 0, 401)],
)
@pytest.mark.asyncio
async def test_pass_through_endpoint_rpm_limit(auth, expected_error_code, rpm_limit):
client = TestClient(app)
import litellm
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.proxy_server import ProxyLogging, hash_token, user_api_key_cache
mock_api_key = "sk-my-test-key"
cache_value = UserAPIKeyAuth(token=hash_token(mock_api_key), rpm_limit=rpm_limit)
_cohere_api_key = os.environ.get("COHERE_API_KEY")
user_api_key_cache.set_cache(key=hash_token(mock_api_key), value=cache_value)
proxy_logging_obj = ProxyLogging(user_api_key_cache=user_api_key_cache)
proxy_logging_obj._init_litellm_callbacks()
setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
setattr(litellm.proxy.proxy_server, "prisma_client", "FAKE-VAR")
setattr(litellm.proxy.proxy_server, "proxy_logging_obj", proxy_logging_obj)
# Define a pass-through endpoint
pass_through_endpoints = [
{
"path": "/v1/rerank",
"target": "https://api.cohere.com/v1/rerank",
"auth": auth,
"headers": {"Authorization": f"bearer {_cohere_api_key}"},
}
]
# Initialize the pass-through endpoint
await initialize_pass_through_endpoints(pass_through_endpoints)
_json_data = {
"model": "rerank-english-v3.0",
"query": "What is the capital of the United States?",
"top_n": 3,
"documents": [
"Carson City is the capital city of the American state of Nevada."
],
}
# Make a request to the pass-through endpoint
response = client.post(
"/v1/rerank",
json=_json_data,
headers={"Authorization": "Bearer {}".format(mock_api_key)},
)
print("JSON response: ", _json_data)
# Assert the response
assert response.status_code == expected_error_code
@pytest.mark.asyncio
async def test_pass_through_endpoint_anthropic(client):
import litellm

View file

@ -66,6 +66,7 @@ class testLogger(CustomLogger):
"image_generation",
"moderation",
"audio_transcription",
"pass_through_endpoint",
],
):
raise HTTPException(

View file

@ -1,14 +1,18 @@
#### What this tests ####
# This tests setting rules before / after making llm api calls
import sys, os, time
import traceback, asyncio
import asyncio
import os
import sys
import time
import traceback
import pytest
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
from litellm import completion, acompletion
from litellm import acompletion, completion
def my_pre_call_rule(input: str):
@ -126,10 +130,7 @@ def test_post_call_rule_streaming():
print("Got exception", e)
print(type(e))
print(vars(e))
assert (
"OpenAIException - This violates LiteLLM Proxy Rules. Response too short"
in e.message
)
assert "This violates LiteLLM Proxy Rules. Response too short" in e.message
@pytest.mark.asyncio

View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "litellm"
version = "1.41.20"
version = "1.41.21"
description = "Library to easily interface with LLM API providers"
authors = ["BerriAI"]
license = "MIT"
@ -91,7 +91,7 @@ requires = ["poetry-core", "wheel"]
build-backend = "poetry.core.masonry.api"
[tool.commitizen]
version = "1.41.20"
version = "1.41.21"
version_files = [
"pyproject.toml:^version"
]

View file

@ -186,7 +186,7 @@ async def test_end_user_specific_region():
key = key_gen["key"]
for _ in range(3):
client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000")
client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000", max_retries=0)
print("SENDING USER PARAM - {}".format(end_user_obj["user_id"]))
result = await client.chat.completions.with_raw_response.create(
@ -225,7 +225,7 @@ async def test_enduser_tpm_limits_non_master_key():
key = key_gen["key"]
# chat completion 1
client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000")
client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000", max_retries=0)
# chat completion 2
passed = 0
@ -267,7 +267,9 @@ async def test_enduser_tpm_limits_with_master_key():
)
# chat completion 1
client = AsyncOpenAI(api_key="sk-1234", base_url="http://0.0.0.0:4000")
client = AsyncOpenAI(
api_key="sk-1234", base_url="http://0.0.0.0:4000", max_retries=0
)
# chat completion 2
passed = 0

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View file

@ -194,8 +194,9 @@ const CacheDashboard: React.FC<CachePageProps> = ({
// set header cache statistics
setCachedResponses(valueFormatterNumbers(cache_hits));
setCachedTokens(valueFormatterNumbers(cached_tokens));
if (llm_api_requests > 0) {
let cache_hit_ratio = ((cache_hits / llm_api_requests) * 100).toFixed(2);
let allRequests = cache_hits + llm_api_requests
if (allRequests > 0) {
let cache_hit_ratio = ((cache_hits / allRequests) * 100).toFixed(2);
setCacheHitRatio(cache_hit_ratio);
} else {
setCacheHitRatio("0");