fix(internal_user_endpoints.py): allow resetting spend/max budget on … (#10993)

* fix(internal_user_endpoints.py): allow resetting spend/max budget on user update

Fixes https://github.com/BerriAI/litellm/issues/10495

* fix(internal_user_endpoints.py): correctly return set spend for user on /user/new

* fix(auth_checks.py): check redis for key object before checking in-memory

allows for quicker updates

* feat(internal_user_endpoints.py): update cache object when user is updated + check redis on user values being updated

* fix(auth_checks.py): use redis cache when user updated

* fix: set default value of 'expires' to None
This commit is contained in:
Krish Dholakia 2025-05-20 23:08:26 -07:00 • committed by GitHub
parent bf97d994b5
commit 4bd64c872a
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
9 changed files with 292 additions and 52 deletions

View file

@ -196,6 +196,7 @@ class DualCache(BaseCache):
key,
parent_otel_span: Optional[Span] = None,
local_only: bool = False,
redis_only: bool = False,
**kwargs,
):
# Try to fetch from in-memory cache first
@ -204,7 +205,7 @@ class DualCache(BaseCache):
f"async get cache: cache key: {key}; local_only: {local_only}"
)
result = None
if self.in_memory_cache is not None:
if self.in_memory_cache is not None and not redis_only:
in_memory_result = await self.in_memory_cache.async_get_cache(
key, **kwargs
)
@ -213,7 +214,7 @@ class DualCache(BaseCache):
if in_memory_result is not None:
result = in_memory_result
if result is None and self.redis_cache is not None and local_only is False:
if result is None and self.redis_cache is not None and not local_only:
# If not found in in-memory cache, try fetching from Redis
redis_result = await self.redis_cache.async_get_cache(
key, parent_otel_span=parent_otel_span

File diff suppressed because one or more lines are too long

View file

@ -71,3 +71,6 @@ model_list:
model: mistral/*
api_key: os.environ/MISTRAL_API_KEY
access_groups: ["beta-models"]
litellm_settings:
cache: true

View file

@ -702,7 +702,7 @@ class GenerateKeyRequest(KeyRequestBase):
class GenerateKeyResponse(KeyRequestBase):
key: str # type: ignore
key_name: Optional[str] = None
expires: Optional[datetime]
expires: Optional[datetime] = None
user_id: Optional[str] = None
token_id: Optional[str] = None
litellm_budget_table: Optional[Any] = None

View file

@ -11,7 +11,8 @@ Run checks for:
import asyncio
import re
import time
from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Union, cast
from datetime import datetime
from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional, Type, Union, cast
from fastapi import Request, status
from pydantic import BaseModel
@ -33,6 +34,7 @@ from litellm.proxy._types import (
LiteLLM_TeamTable,
LiteLLM_TeamTableCachedObj,
LiteLLM_UserTable,
LiteLLM_VerificationToken,
LiteLLMRoutes,
LitellmUserRoles,
ProxyErrorTypes,
@ -43,7 +45,12 @@ from litellm.proxy._types import (
)
from litellm.proxy.auth.route_checks import RouteChecks
from litellm.proxy.route_llm_request import route_request
from litellm.proxy.utils import PrismaClient, ProxyLogging, log_db_metrics
from litellm.proxy.utils import (
InternalUsageCache,
PrismaClient,
ProxyLogging,
log_db_metrics,
)
from litellm.router import Router
from litellm.utils import get_utc_datetime
@ -640,6 +647,69 @@ async def _get_fuzzy_user_object(
return response
class UserObjectCache:
def __init__(
self,
user_api_key_cache: DualCache,
internal_usage_cache: Optional[InternalUsageCache] = None,
):
"""
- user_api_key_cache: cache for user api keys
- internal_usage_cache: cache for internal usage (connected to Redis)
"""
self.user_api_key_cache = user_api_key_cache
self.internal_usage_cache = internal_usage_cache
async def update_user_object(
self,
user_id: str,
user_object: Union[dict, LiteLLM_UserTable],
litellm_parent_otel_span: Optional[Span] = None,
):
"""
- update user object in cache
"""
if isinstance(user_object, LiteLLM_UserTable):
user_object = user_object.model_dump()
for k, v in user_object.items():
if isinstance(v, datetime):
user_object[k] = v.isoformat()
await self.user_api_key_cache.async_set_cache(key=user_id, value=user_object)
if self.internal_usage_cache is not None:
await self.internal_usage_cache.async_set_cache(
key=user_id,
value=user_object,
litellm_parent_otel_span=litellm_parent_otel_span,
)
async def get_user_object(
self, user_id: str, litellm_parent_otel_span: Optional[Span] = None
) -> Optional[LiteLLM_UserTable]:
"""
- get user object from cache
"""
cached_obj: Optional[Union[dict, LiteLLM_UserTable]] = None
## CHECK REDIS CACHE ##
if self.internal_usage_cache is not None:
cached_obj = await self.internal_usage_cache.async_get_cache(
key=user_id,
litellm_parent_otel_span=litellm_parent_otel_span,
redis_only=True,
)
if cached_obj is None:
cached_obj = await self.user_api_key_cache.async_get_cache(key=user_id)
if cached_obj is not None:
if isinstance(cached_obj, dict):
return LiteLLM_UserTable(**cached_obj)
elif isinstance(cached_obj, LiteLLM_UserTable):
return cached_obj
return None
@log_db_metrics
async def get_user_object(
user_id: Optional[str],
@ -657,18 +727,23 @@ async def get_user_object(
- if valid, return LiteLLM_UserTable object with defined limits
- if not, then raise an error
"""
user_object_cache = UserObjectCache(
user_api_key_cache=user_api_key_cache,
internal_usage_cache=proxy_logging_obj.internal_usage_cache
if proxy_logging_obj is not None
else None,
)
if user_id is None:
return None
# check if in cache
if not check_db_only:
cached_user_obj = await user_api_key_cache.async_get_cache(key=user_id)
cached_user_obj = await user_object_cache.get_user_object(
user_id=user_id, litellm_parent_otel_span=parent_otel_span
)
if cached_user_obj is not None:
if isinstance(cached_user_obj, dict):
return LiteLLM_UserTable(**cached_user_obj)
elif isinstance(cached_user_obj, LiteLLM_UserTable):
return cached_user_obj
return cached_user_obj
# else, check db
if prisma_client is None:
raise Exception("No db connected")
@ -726,7 +801,9 @@ async def get_user_object(
response_dict = _response.model_dump()
# save the user object to cache
await user_api_key_cache.async_set_cache(key=user_id, value=response_dict)
await user_object_cache.update_user_object(
user_id=user_id, user_object=response_dict
)
# save to db access time
_update_last_db_access_time(
@ -1020,6 +1097,38 @@ class ExperimentalUIJWTToken:
)
async def _get_object_from_cache(
key: str,
proxy_logging_obj: Optional[ProxyLogging],
user_api_key_cache: DualCache,
parent_otel_span: Optional[Span],
base_model: Type[BaseModel],
) -> Optional[BaseModel]:
cached_obj: Optional[Union[dict, BaseModel]] = None
## CHECK REDIS CACHE ##
if (
proxy_logging_obj is not None
and proxy_logging_obj.internal_usage_cache.dual_cache
):
cached_obj = (
await proxy_logging_obj.internal_usage_cache.dual_cache.async_get_cache(
key=key, parent_otel_span=parent_otel_span
)
)
if cached_obj is None:
cached_obj = await user_api_key_cache.async_get_cache(key=key)
if cached_obj is not None:
if isinstance(cached_obj, dict):
return base_model(**cached_obj)
elif isinstance(cached_obj, base_model):
return cached_obj
return None
@log_db_metrics
async def get_key_object(
hashed_token: str,
@ -1042,15 +1151,16 @@ async def get_key_object(
# check if in cache
key = hashed_token
cached_key_obj: Optional[UserAPIKeyAuth] = await user_api_key_cache.async_get_cache(
key=key
cached_key_obj = await _get_object_from_cache(
key=key,
proxy_logging_obj=proxy_logging_obj,
user_api_key_cache=user_api_key_cache,
parent_otel_span=parent_otel_span,
base_model=LiteLLM_VerificationToken,
)
if cached_key_obj is not None:
if isinstance(cached_key_obj, dict):
return UserAPIKeyAuth(**cached_key_obj)
elif isinstance(cached_key_obj, UserAPIKeyAuth):
return cached_key_obj
return UserAPIKeyAuth(**cached_key_obj.model_dump(exclude_none=True))
if check_cache_only:
raise Exception(

View file

@ -23,6 +23,7 @@ from fastapi import APIRouter, Depends, Header, HTTPException, Request, status
import litellm
from litellm._logging import verbose_proxy_logger
from litellm.proxy._types import *
from litellm.proxy.auth.auth_checks import UserObjectCache
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
from litellm.proxy.hooks.user_management_event_hooks import UserManagementEventHooks
from litellm.proxy.management_endpoints.common_daily_activity import get_daily_activity
@ -54,9 +55,9 @@ def _update_internal_new_user_params(data_json: dict, data: NewUserRequest) -> d
data_json["user_id"] = str(uuid.uuid4())
auto_create_key = data_json.pop("auto_create_key", True)
if auto_create_key is False:
data_json["table_name"] = (
"user" # only create a user, don't create key if 'auto_create_key' set to False
)
data_json[
"table_name"
] = "user" # only create a user, don't create key if 'auto_create_key' set to False
is_internal_user = False
if data.user_role and data.user_role.is_internal_user_role:
@ -238,23 +239,15 @@ async def new_user(
else:
raise e
new_user_response = NewUserResponse(
key=response.get("token", ""),
expires=response.get("expires", None),
max_budget=response["max_budget"],
user_id=response["user_id"],
user_role=response.get("user_role", None),
user_email=response.get("user_email", None),
user_alias=response.get("user_alias", None),
teams=response.get("teams", None),
team_id=response.get("team_id", None),
metadata=response.get("metadata", None),
models=response.get("models", None),
tpm_limit=response.get("tpm_limit", None),
rpm_limit=response.get("rpm_limit", None),
budget_duration=response.get("budget_duration", None),
model_max_budget=response.get("model_max_budget", None),
)
special_keys = ["token"]
response_dict = {}
for key, value in response.items():
if key in NewUserResponse.model_fields.keys() and key not in special_keys:
response_dict[key] = value
response_dict["key"] = response.get("token", "")
new_user_response = NewUserResponse(**response_dict)
#########################################################
########## USER CREATED HOOK ################
@ -555,7 +548,6 @@ def _update_internal_user_params(data_json: dict, data: UpdateUserRequest) -> di
not in (
[],
{},
0,
)
and k not in LiteLLM_ManagementEndpoint_MetadataFields
): # models default to [], spend defaults to 0, we should not reset these values
@ -582,9 +574,9 @@ def _update_internal_user_params(data_json: dict, data: UpdateUserRequest) -> di
"budget_duration" not in non_default_values
): # applies internal user limits, if user role updated
if is_internal_user and litellm.internal_user_budget_duration is not None:
non_default_values["budget_duration"] = (
litellm.internal_user_budget_duration
)
non_default_values[
"budget_duration"
] = litellm.internal_user_budget_duration
from litellm.proxy.common_utils.timezone_utils import get_budget_reset_time
non_default_values["budget_reset_at"] = get_budget_reset_time(
@ -650,10 +642,15 @@ async def user_update(
"""
from litellm.proxy.proxy_server import litellm_proxy_admin_name, prisma_client
from litellm.proxy.proxy_server import (
litellm_proxy_admin_name,
prisma_client,
proxy_logging_obj,
user_api_key_cache,
)
try:
data_json: dict = data.json()
data_json: dict = data.model_dump(exclude_unset=True)
# get the row from db
if prisma_client is None:
raise Exception("Not connected to DB!")
@ -734,6 +731,16 @@ async def user_update(
user_row_litellm_typed = LiteLLM_UserTable(
**user_row.model_dump(exclude_none=True)
)
## UPDATE CACHE ##
user_object_cache = UserObjectCache(
user_api_key_cache=user_api_key_cache,
internal_usage_cache=proxy_logging_obj.internal_usage_cache,
)
await user_object_cache.update_user_object(
user_id=response["user_id"], user_object=user_row_litellm_typed
)
asyncio.create_task(
UserManagementEventHooks.create_internal_user_audit_log(
user_id=user_row_litellm_typed.user_id,
@ -1227,13 +1234,13 @@ async def ui_view_users(
}
# Query users with pagination and filters
users: Optional[List[BaseModel]] = (
await prisma_client.db.litellm_usertable.find_many(
where=where_conditions,
skip=skip,
take=page_size,
order={"created_at": "desc"},
)
users: Optional[
List[BaseModel]
] = await prisma_client.db.litellm_usertable.find_many(
where=where_conditions,
skip=skip,
take=page_size,
order={"created_at": "desc"},
)
if not users:

View file

@ -146,12 +146,14 @@ class InternalUsageCache:
key,
litellm_parent_otel_span: Union[Span, None],
local_only: bool = False,
redis_only: bool = False,
**kwargs,
) -> Any:
return await self.dual_cache.async_get_cache(
key=key,
local_only=local_only,
parent_otel_span=litellm_parent_otel_span,
redis_only=redis_only,
**kwargs,
)

View file

@ -13,8 +13,10 @@ from datetime import datetime, timedelta
import pytest
import litellm
from litellm.caching.dual_cache import DualCache
from litellm.proxy._types import (
LiteLLM_UserTable,
LiteLLM_VerificationToken,
LitellmUserRoles,
SSOUserDefinedValues,
)
@ -115,6 +117,54 @@ def test_get_key_object_from_ui_hash_key_invalid():
@pytest.mark.asyncio
async def test_get_object_from_cache_redis():
"""Test that _get_object_from_cache retrieves from Redis cache when available"""
from unittest.mock import AsyncMock, MagicMock
from litellm.caching.dual_cache import DualCache
from litellm.proxy._types import LiteLLM_VerificationToken
from litellm.proxy.auth.auth_checks import _get_object_from_cache
# Create mock objects
mock_proxy_logging = MagicMock()
mock_proxy_logging.internal_usage_cache.dual_cache = AsyncMock()
mock_user_api_key_cache = DualCache()
# Create test data
test_key = "test_key"
test_data = {
"token": "test_token",
"key_name": "test_key_name",
"spend": 0.0,
"models": ["gpt-3.5-turbo"],
}
# Mock Redis cache response
mock_proxy_logging.internal_usage_cache.dual_cache.async_get_cache.return_value = (
test_data
)
# Call the function
result = await _get_object_from_cache(
key=test_key,
proxy_logging_obj=mock_proxy_logging,
user_api_key_cache=mock_user_api_key_cache,
parent_otel_span=None,
base_model=LiteLLM_VerificationToken,
)
# Verify Redis cache was checked
mock_proxy_logging.internal_usage_cache.dual_cache.async_get_cache.assert_called_once_with(
key=test_key, parent_otel_span=None
)
# Verify result is correct
assert isinstance(result, LiteLLM_VerificationToken)
assert result.token == "test_token"
assert result.key_name == "test_key_name"
assert result.spend == 0.0
assert result.models == ["gpt-3.5-turbo"]
async def test_default_internal_user_params_with_get_user_object(monkeypatch):
"""Test that default_internal_user_params is used when creating a new user via get_user_object"""
# Set up default_internal_user_params

View file

@ -10,9 +10,14 @@ sys.path.insert(
0, os.path.abspath("../../../..")
) # Adds the parent directory to the system path
from litellm.proxy._types import LiteLLM_UserTableFiltered, UserAPIKeyAuth
from litellm.proxy._types import (
LiteLLM_UserTableFiltered,
UpdateUserRequest,
UserAPIKeyAuth,
)
from litellm.proxy.management_endpoints.internal_user_endpoints import (
LiteLLM_UserTableWithKeyCount,
_update_internal_user_params,
get_user_key_counts,
get_users,
ui_view_users,
@ -169,3 +174,66 @@ def test_validate_sort_params():
assert _validate_sort_params("user_id", "desc") == {"user_id": "desc"}
with pytest.raises(Exception):
_validate_sort_params("user_id", "invalid")
def test_update_user_request_pydantic_object():
"""
Test that _update_internal_user_params correctly processes an email-only update
"""
data = UpdateUserRequest(user_email="test@example.com")
data_json = data.model_dump(exclude_unset=True)
assert data_json == {"user_email": "test@example.com"}
def test_update_internal_user_params_email():
"""
Test that _update_internal_user_params correctly processes an email-only update
"""
from litellm.proxy._types import UpdateUserRequest
from litellm.proxy.management_endpoints.internal_user_endpoints import (
_update_internal_user_params,
)
# Create test data with only email update
data_json = {"user_email": "test@example.com"}
data = UpdateUserRequest(user_email="test@example.com")
# Call the function
non_default_values = _update_internal_user_params(data_json=data_json, data=data)
# Assertions
assert len(non_default_values) == 1 # Should only contain email
assert "user_email" in non_default_values
assert non_default_values["user_email"] == "test@example.com"
assert "user_id" not in non_default_values # Should not add user_id if not provided
assert "max_budget" not in non_default_values # Should not add default values
assert "budget_duration" not in non_default_values # Should not add default values
def test_update_internal_user_params_reset_spend_and_max_budget():
"""
Relevant Issue: https://github.com/BerriAI/litellm/issues/10495
"""
from litellm.proxy._types import UpdateUserRequest
from litellm.proxy.management_endpoints.internal_user_endpoints import (
_update_internal_user_params,
)
# Create test data with only email update
data = UpdateUserRequest(spend=0, max_budget=0, user_id="test_user_id")
data_json = data.model_dump(exclude_unset=True)
# Call the function
non_default_values = _update_internal_user_params(data_json=data_json, data=data)
# Assertions
assert len(non_default_values) == 3 # Should only contain email
assert "spend" in non_default_values
assert non_default_values["spend"] == 0
assert "max_budget" in non_default_values
assert non_default_values["max_budget"] == 0
assert "user_id" in non_default_values # Should not add user_id if not provided
assert non_default_values["user_id"] == "test_user_id"
assert "budget_duration" not in non_default_values # Should not add default values