litellm/tests/local_testing/test_provider_budgets.py
2024-11-19 17:26:31 -08:00

209 lines
6.4 KiB
Python

import sys, os, asyncio, time, random
from datetime import datetime
import traceback
from dotenv import load_dotenv
load_dotenv()
import os, copy
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import pytest
from litellm import Router
from litellm.router_strategy.provider_budgets import ProviderBudgetLimiting
from litellm.types.router import (
RoutingStrategy,
ProviderBudgetConfigType,
ProviderBudgetInfo,
)
from litellm.caching.caching import DualCache
import logging
from litellm._logging import verbose_router_logger
verbose_router_logger.setLevel(logging.DEBUG)
@pytest.mark.asyncio
async def test_provider_budgets_e2e_test():
"""
Expected behavior:
- First request forced to OpenAI
- Hit OpenAI budget limit
- Next 3 requests all go to Azure
"""
provider_budget_config: ProviderBudgetConfigType = {
"openai": ProviderBudgetInfo(time_period="1d", budget_limit=0.000000000001),
"azure": ProviderBudgetInfo(time_period="1d", budget_limit=100),
}
router = Router(
model_list=[
{
"model_name": "gpt-3.5-turbo", # openai model name
"litellm_params": { # params for litellm completion/embedding call
"model": "azure/chatgpt-v-2",
"api_key": os.getenv("AZURE_API_KEY"),
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": os.getenv("AZURE_API_BASE"),
},
"model_info": {"id": "azure-model-id"},
},
{
"model_name": "gpt-3.5-turbo", # openai model name
"litellm_params": {
"model": "openai/gpt-4o-mini",
},
"model_info": {"id": "openai-model-id"},
},
],
provider_budget_config=provider_budget_config,
redis_host=os.getenv("REDIS_HOST"),
redis_port=int(os.getenv("REDIS_PORT")),
redis_password=os.getenv("REDIS_PASSWORD"),
)
response = await router.acompletion(
messages=[{"role": "user", "content": "Hello, how are you?"}],
model="openai/gpt-4o-mini",
)
print(response)
await asyncio.sleep(0.5)
for _ in range(3):
response = await router.acompletion(
messages=[{"role": "user", "content": "Hello, how are you?"}],
model="gpt-3.5-turbo",
)
print(response)
print("response.hidden_params", response._hidden_params)
await asyncio.sleep(0.5)
assert response._hidden_params.get("custom_llm_provider") == "azure"
@pytest.mark.asyncio
async def test_provider_budgets_e2e_test_expect_to_fail():
"""
Expected behavior:
- first request passes, all subsequent requests fail
"""
provider_budget_config: ProviderBudgetConfigType = {
"anthropic": ProviderBudgetInfo(time_period="1d", budget_limit=0.000000000001),
}
router = Router(
model_list=[
{
"model_name": "anthropic/*", # openai model name
"litellm_params": {
"model": "anthropic/*",
},
},
],
redis_host=os.getenv("REDIS_HOST"),
redis_port=int(os.getenv("REDIS_PORT")),
redis_password=os.getenv("REDIS_PASSWORD"),
provider_budget_config=provider_budget_config,
)
response = await router.acompletion(
messages=[{"role": "user", "content": "Hello, how are you?"}],
model="anthropic/claude-3-5-sonnet-20240620",
)
print(response)
await asyncio.sleep(0.5)
for _ in range(3):
with pytest.raises(Exception) as exc_info:
response = await router.acompletion(
messages=[{"role": "user", "content": "Hello, how are you?"}],
model="anthropic/claude-3-5-sonnet-20240620",
)
print(response)
print("response.hidden_params", response._hidden_params)
await asyncio.sleep(0.5)
# Verify the error is related to budget exceeded
def test_get_ttl_seconds():
"""
Test the get_ttl_seconds helper method"
"""
provider_budget = ProviderBudgetLimiting(
router_cache=DualCache(), provider_budget_config={}
)
assert provider_budget.get_ttl_seconds("1d") == 86400 # 1 day in seconds
assert provider_budget.get_ttl_seconds("7d") == 604800 # 7 days in seconds
assert provider_budget.get_ttl_seconds("30d") == 2592000 # 30 days in seconds
with pytest.raises(ValueError, match="Unsupported time period format"):
provider_budget.get_ttl_seconds("1h")
def test_get_llm_provider_for_deployment():
"""
Test the _get_llm_provider_for_deployment helper method
"""
provider_budget = ProviderBudgetLimiting(
router_cache=DualCache(), provider_budget_config={}
)
# Test OpenAI deployment
openai_deployment = {"litellm_params": {"model": "openai/gpt-4"}}
assert (
provider_budget._get_llm_provider_for_deployment(openai_deployment) == "openai"
)
# Test Azure deployment
azure_deployment = {
"litellm_params": {
"model": "azure/gpt-4",
"api_key": "test",
"api_base": "test",
}
}
assert provider_budget._get_llm_provider_for_deployment(azure_deployment) == "azure"
# should not raise error for unknown deployment
unknown_deployment = {}
assert provider_budget._get_llm_provider_for_deployment(unknown_deployment) is None
def test_get_budget_config_for_provider():
"""
Test the _get_budget_config_for_provider helper method
"""
config = {
"openai": ProviderBudgetInfo(time_period="1d", budget_limit=100),
"anthropic": ProviderBudgetInfo(time_period="7d", budget_limit=500),
}
provider_budget = ProviderBudgetLimiting(
router_cache=DualCache(), provider_budget_config=config
)
# Test existing providers
openai_config = provider_budget._get_budget_config_for_provider("openai")
assert openai_config is not None
assert openai_config.time_period == "1d"
assert openai_config.budget_limit == 100
anthropic_config = provider_budget._get_budget_config_for_provider("anthropic")
assert anthropic_config is not None
assert anthropic_config.time_period == "7d"
assert anthropic_config.budget_limit == 500
# Test non-existent provider
assert provider_budget._get_budget_config_for_provider("unknown") is None