forked from phoenix/litellm-mirror
135 lines
4.2 KiB
Python
135 lines
4.2 KiB
Python
import sys, os, asyncio, time, random
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from datetime import datetime
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import traceback
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from dotenv import load_dotenv
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load_dotenv()
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import os, copy
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import pytest
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from litellm import Router
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from litellm.router_strategy.provider_budgets import ProviderBudgetLimiting
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from litellm.types.router import (
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RoutingStrategy,
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ProviderBudgetConfigType,
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ProviderBudgetInfo,
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)
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from litellm.caching.caching import DualCache
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import logging
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from litellm._logging import verbose_router_logger
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verbose_router_logger.setLevel(logging.DEBUG)
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@pytest.mark.asyncio
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async def test_provider_budgets_e2e_test():
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"""
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Expected behavior:
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- First request forced to OpenAI
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- Hit OpenAI budget limit
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- Next 3 requests all go to Azure
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"""
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provider_budget_config: ProviderBudgetConfigType = {
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"openai": ProviderBudgetInfo(time_period="1d", budget_limit=0.000000000001),
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"azure": ProviderBudgetInfo(time_period="1d", budget_limit=100),
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}
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router = Router(
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routing_strategy="provider-budget-routing",
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routing_strategy_args=provider_budget_config,
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model_list=[
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{
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"model_name": "gpt-3.5-turbo", # openai model name
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"litellm_params": { # params for litellm completion/embedding call
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"model": "azure/chatgpt-v-2",
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"api_key": os.getenv("AZURE_API_KEY"),
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"api_version": os.getenv("AZURE_API_VERSION"),
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"api_base": os.getenv("AZURE_API_BASE"),
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},
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"model_info": {"id": "azure-model-id"},
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},
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{
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"model_name": "gpt-3.5-turbo", # openai model name
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"litellm_params": {
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"model": "openai/gpt-4o-mini",
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},
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"model_info": {"id": "openai-model-id"},
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},
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],
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redis_host=os.getenv("REDIS_HOST"),
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redis_port=int(os.getenv("REDIS_PORT")),
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redis_password=os.getenv("REDIS_PASSWORD"),
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)
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response = await router.acompletion(
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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model="openai/gpt-4o-mini",
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)
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print(response)
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await asyncio.sleep(0.5)
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for _ in range(3):
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response = await router.acompletion(
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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model="gpt-3.5-turbo",
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)
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print(response)
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print("response.hidden_params", response._hidden_params)
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await asyncio.sleep(0.5)
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assert response._hidden_params.get("custom_llm_provider") == "azure"
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@pytest.mark.asyncio
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async def test_provider_budgets_e2e_test_expect_to_fail():
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"""
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Expected behavior:
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- first request passes, all subsequent requests fail
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"""
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provider_budget_config: ProviderBudgetConfigType = {
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"anthropic": ProviderBudgetInfo(time_period="1d", budget_limit=0.000000000001),
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}
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router = Router(
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routing_strategy="provider-budget-routing",
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routing_strategy_args=provider_budget_config,
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model_list=[
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{
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"model_name": "anthropic/*", # openai model name
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"litellm_params": {
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"model": "anthropic/*",
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},
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},
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],
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redis_host=os.getenv("REDIS_HOST"),
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redis_port=int(os.getenv("REDIS_PORT")),
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redis_password=os.getenv("REDIS_PASSWORD"),
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)
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response = await router.acompletion(
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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model="anthropic/claude-3-5-sonnet-20240620",
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)
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print(response)
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await asyncio.sleep(0.5)
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for _ in range(3):
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with pytest.raises(Exception) as exc_info:
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response = await router.acompletion(
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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model="anthropic/claude-3-5-sonnet-20240620",
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)
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print(response)
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print("response.hidden_params", response._hidden_params)
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await asyncio.sleep(0.5)
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# Verify the error is related to budget exceeded
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