mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 02:34:29 +00:00
63c9f59373
* feat(view_logs.tsx): show model id + api base in request logs easier debugging * fix(index.tsx): fix length of api base easier viewing * refactor(leftnav.tsx): show models tab to team admin * feat(model_dashboard.tsx): add explainer for what the 'models' page is for team admin helps them understand how they can use it * feat(model_management_endpoints.py): restrict model add by team to just team admin allow team admin to add models via non-team keys (e.g. ui token) * test(test_add_update_models.py): update unit testing for new behaviour * fix(model_dashboard.tsx): show user the models * feat(proxy_server.py): add new query param 'user_models_only' to `/v2/model/info` Allows user to retrieve just the models they've added Used in UI to show internal users just the models they've added * feat(model_dashboard.tsx): allow team admins to view their own models * fix: allow ui user to fetch model cost map * feat(add_model_tab.tsx): require team admins to specify team when onboarding models * fix(_types.py): add `/v1/model/info` to info route `/model/info` was already there * fix(model_info_view.tsx): allow user to edit a model they created * fix(model_management_endpoints.py): allow team admin to update team model * feat(model_managament_endpoints.py): allow team admin to delete team models * fix(model_management_endpoints.py): don't require team id to be set when adding a model * fix(proxy_server.py): fix linting error * fix: fix ui linting error * fix(model_management_endpoints.py): ensure consistent auth checks on all model calls * test: remove old test - function no longer exists in same form * test: add updated mock testing
294 lines
9.4 KiB
Python
294 lines
9.4 KiB
Python
import sys, os
|
|
import traceback
|
|
import json
|
|
import uuid
|
|
from dotenv import load_dotenv
|
|
from fastapi import Request
|
|
from datetime import datetime
|
|
|
|
load_dotenv()
|
|
import os, io, time
|
|
|
|
# this file is to test litellm/proxy
|
|
|
|
sys.path.insert(
|
|
0, os.path.abspath("../..")
|
|
) # Adds the parent directory to the system path
|
|
import pytest, logging, asyncio
|
|
import litellm
|
|
from litellm.proxy.management_endpoints.model_management_endpoints import (
|
|
add_new_model,
|
|
update_model,
|
|
)
|
|
from litellm.proxy._types import LitellmUserRoles
|
|
from litellm._logging import verbose_proxy_logger
|
|
from litellm.proxy.utils import PrismaClient, ProxyLogging
|
|
from litellm.proxy.management_endpoints.team_endpoints import new_team
|
|
|
|
verbose_proxy_logger.setLevel(level=logging.DEBUG)
|
|
from litellm.caching.caching import DualCache
|
|
from litellm.router import (
|
|
Deployment,
|
|
LiteLLM_Params,
|
|
)
|
|
from litellm.types.router import ModelInfo, updateDeployment, updateLiteLLMParams
|
|
|
|
from litellm.proxy._types import UserAPIKeyAuth, NewTeamRequest, LiteLLM_TeamTable
|
|
|
|
proxy_logging_obj = ProxyLogging(user_api_key_cache=DualCache())
|
|
|
|
|
|
@pytest.fixture
|
|
def prisma_client():
|
|
from litellm.proxy.proxy_cli import append_query_params
|
|
|
|
### add connection pool + pool timeout args
|
|
params = {"connection_limit": 100, "pool_timeout": 60}
|
|
database_url = os.getenv("DATABASE_URL")
|
|
modified_url = append_query_params(database_url, params)
|
|
os.environ["DATABASE_URL"] = modified_url
|
|
os.environ["STORE_MODEL_IN_DB"] = "true"
|
|
|
|
# Assuming PrismaClient is a class that needs to be instantiated
|
|
prisma_client = PrismaClient(
|
|
database_url=os.environ["DATABASE_URL"], proxy_logging_obj=proxy_logging_obj
|
|
)
|
|
|
|
# Reset litellm.proxy.proxy_server.prisma_client to None
|
|
litellm.proxy.proxy_server.litellm_proxy_budget_name = (
|
|
f"litellm-proxy-budget-{time.time()}"
|
|
)
|
|
litellm.proxy.proxy_server.user_custom_key_generate = None
|
|
|
|
return prisma_client
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.skip(reason="new feature, tests passing locally")
|
|
async def test_add_new_model(prisma_client):
|
|
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
|
|
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
|
|
setattr(litellm.proxy.proxy_server, "store_model_in_db", True)
|
|
|
|
await litellm.proxy.proxy_server.prisma_client.connect()
|
|
from litellm.proxy.proxy_server import user_api_key_cache
|
|
import uuid
|
|
|
|
_new_model_id = f"local-test-{uuid.uuid4().hex}"
|
|
|
|
await add_new_model(
|
|
model_params=Deployment(
|
|
model_name="test_model",
|
|
litellm_params=LiteLLM_Params(
|
|
model="azure/gpt-3.5-turbo",
|
|
api_key="test_api_key",
|
|
api_base="test_api_base",
|
|
rpm=1000,
|
|
tpm=1000,
|
|
),
|
|
model_info=ModelInfo(
|
|
id=_new_model_id,
|
|
),
|
|
),
|
|
user_api_key_dict=UserAPIKeyAuth(
|
|
user_role=LitellmUserRoles.PROXY_ADMIN.value,
|
|
api_key="sk-1234",
|
|
user_id="1234",
|
|
),
|
|
)
|
|
|
|
_new_models = await prisma_client.db.litellm_proxymodeltable.find_many()
|
|
print("_new_models: ", _new_models)
|
|
|
|
_new_model_in_db = None
|
|
for model in _new_models:
|
|
print("current model: ", model)
|
|
if model.model_info["id"] == _new_model_id:
|
|
print("FOUND MODEL: ", model)
|
|
_new_model_in_db = model
|
|
|
|
assert _new_model_in_db is not None
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.skip(reason="new feature, tests passing locally")
|
|
async def test_add_update_model(prisma_client):
|
|
# test that existing litellm_params are not updated
|
|
# only new / updated params get updated
|
|
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
|
|
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
|
|
setattr(litellm.proxy.proxy_server, "store_model_in_db", True)
|
|
|
|
await litellm.proxy.proxy_server.prisma_client.connect()
|
|
from litellm.proxy.proxy_server import user_api_key_cache
|
|
import uuid
|
|
|
|
_new_model_id = f"local-test-{uuid.uuid4().hex}"
|
|
|
|
await add_new_model(
|
|
model_params=Deployment(
|
|
model_name="test_model",
|
|
litellm_params=LiteLLM_Params(
|
|
model="azure/gpt-3.5-turbo",
|
|
api_key="test_api_key",
|
|
api_base="test_api_base",
|
|
rpm=1000,
|
|
tpm=1000,
|
|
),
|
|
model_info=ModelInfo(
|
|
id=_new_model_id,
|
|
),
|
|
),
|
|
user_api_key_dict=UserAPIKeyAuth(
|
|
user_role=LitellmUserRoles.PROXY_ADMIN.value,
|
|
api_key="sk-1234",
|
|
user_id="1234",
|
|
),
|
|
)
|
|
|
|
_new_models = await prisma_client.db.litellm_proxymodeltable.find_many()
|
|
print("_new_models: ", _new_models)
|
|
|
|
_new_model_in_db = None
|
|
for model in _new_models:
|
|
print("current model: ", model)
|
|
if model.model_info["id"] == _new_model_id:
|
|
print("FOUND MODEL: ", model)
|
|
_new_model_in_db = model
|
|
|
|
assert _new_model_in_db is not None
|
|
|
|
_original_model = _new_model_in_db
|
|
_original_litellm_params = _new_model_in_db.litellm_params
|
|
print("_original_litellm_params: ", _original_litellm_params)
|
|
print("now updating the tpm for model")
|
|
# run update to update "tpm"
|
|
await update_model(
|
|
model_params=updateDeployment(
|
|
litellm_params=updateLiteLLMParams(tpm=123456),
|
|
model_info=ModelInfo(
|
|
id=_new_model_id,
|
|
),
|
|
),
|
|
user_api_key_dict=UserAPIKeyAuth(
|
|
user_role=LitellmUserRoles.PROXY_ADMIN.value,
|
|
api_key="sk-1234",
|
|
user_id="1234",
|
|
),
|
|
)
|
|
|
|
_new_models = await prisma_client.db.litellm_proxymodeltable.find_many()
|
|
|
|
_new_model_in_db = None
|
|
for model in _new_models:
|
|
if model.model_info["id"] == _new_model_id:
|
|
print("\nFOUND MODEL: ", model)
|
|
_new_model_in_db = model
|
|
|
|
# assert all other litellm params are identical to _original_litellm_params
|
|
for key, value in _original_litellm_params.items():
|
|
if key == "tpm":
|
|
# assert that tpm actually got updated
|
|
assert _new_model_in_db.litellm_params[key] == 123456
|
|
else:
|
|
assert _new_model_in_db.litellm_params[key] == value
|
|
|
|
assert _original_model.model_id == _new_model_in_db.model_id
|
|
assert _original_model.model_name == _new_model_in_db.model_name
|
|
assert _original_model.model_info == _new_model_in_db.model_info
|
|
|
|
|
|
async def _create_new_team(prisma_client):
|
|
new_team_request = NewTeamRequest(
|
|
team_alias=f"team_{uuid.uuid4().hex}",
|
|
)
|
|
_new_team = await new_team(
|
|
data=new_team_request,
|
|
user_api_key_dict=UserAPIKeyAuth(
|
|
user_role=LitellmUserRoles.PROXY_ADMIN.value,
|
|
api_key="sk-1234",
|
|
user_id="1234",
|
|
),
|
|
http_request=Request(
|
|
scope={"type": "http", "method": "POST", "path": "/new_team"}
|
|
),
|
|
)
|
|
return LiteLLM_TeamTable(**_new_team)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_add_team_model_to_db(prisma_client):
|
|
"""
|
|
Test adding a team model and verifying the team_public_model_name is stored correctly
|
|
"""
|
|
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
|
|
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
|
|
setattr(litellm.proxy.proxy_server, "store_model_in_db", True)
|
|
|
|
await litellm.proxy.proxy_server.prisma_client.connect()
|
|
|
|
from litellm.proxy.management_endpoints.model_management_endpoints import (
|
|
_add_team_model_to_db,
|
|
)
|
|
import uuid
|
|
|
|
new_team = await _create_new_team(prisma_client)
|
|
team_id = new_team.team_id
|
|
|
|
public_model_name = "my-gpt4-model"
|
|
model_id = f"local-test-{uuid.uuid4().hex}"
|
|
|
|
# Create test model deployment
|
|
model_params = Deployment(
|
|
model_name=public_model_name,
|
|
litellm_params=LiteLLM_Params(
|
|
model="gpt-4",
|
|
api_key="test_api_key",
|
|
),
|
|
model_info=ModelInfo(
|
|
id=model_id,
|
|
team_id=team_id,
|
|
),
|
|
)
|
|
|
|
# Add model to db
|
|
model_response = await _add_team_model_to_db(
|
|
model_params=model_params,
|
|
user_api_key_dict=UserAPIKeyAuth(
|
|
user_role=LitellmUserRoles.PROXY_ADMIN.value,
|
|
api_key="sk-1234",
|
|
user_id="1234",
|
|
team_id=team_id,
|
|
),
|
|
prisma_client=prisma_client,
|
|
)
|
|
|
|
# Verify model was created with correct attributes
|
|
assert model_response is not None
|
|
assert model_response.model_name.startswith(f"model_name_{team_id}")
|
|
|
|
# Verify team_public_model_name was stored in model_info
|
|
model_info = model_response.model_info
|
|
assert model_info["team_public_model_name"] == public_model_name
|
|
|
|
await asyncio.sleep(1)
|
|
|
|
# Verify team model alias was created
|
|
team = await prisma_client.db.litellm_teamtable.find_first(
|
|
where={
|
|
"team_id": team_id,
|
|
},
|
|
include={"litellm_model_table": True},
|
|
)
|
|
print("team=", team.model_dump_json())
|
|
assert team is not None
|
|
|
|
team_model = team.model_id
|
|
print("team model id=", team_model)
|
|
litellm_model_table = team.litellm_model_table
|
|
print("litellm_model_table=", litellm_model_table.model_dump_json())
|
|
model_aliases = litellm_model_table.model_aliases
|
|
print("model_aliases=", model_aliases)
|
|
|
|
assert public_model_name in model_aliases
|
|
assert model_aliases[public_model_name] == model_response.model_name
|