forked from phoenix/litellm-mirror
add fixture for provider budget routing
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1 changed files with 19 additions and 84 deletions
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@ -25,6 +25,25 @@ import litellm
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verbose_router_logger.setLevel(logging.DEBUG)
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@pytest.fixture(autouse=True)
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async def cleanup_redis():
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"""Cleanup Redis cache before each test"""
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try:
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import redis
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redis_client = redis.Redis(
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host=os.getenv("REDIS_HOST"),
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port=int(os.getenv("REDIS_PORT")),
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password=os.getenv("REDIS_PASSWORD"),
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)
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# Delete all provider spend keys
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for key in redis_client.scan_iter("provider_spend:*"):
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redis_client.delete(key)
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except Exception as e:
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print(f"Error cleaning up Redis: {str(e)}")
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yield
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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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@ -272,87 +291,3 @@ async def test_prometheus_metric_tracking():
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# Verify the mock was called correctly
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mock_prometheus.track_provider_remaining_budget.assert_called_once()
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@pytest.mark.asyncio
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async def test_in_memory_redis_sync_e2e():
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"""
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Test that the in-memory cache gets properly synced with Redis values through the periodic sync mechanism
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Critical test for using provider budgets in a multi-instance environment
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"""
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original_sync_interval = getattr(
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litellm.router_strategy.provider_budgets, "DEFAULT_REDIS_SYNC_INTERVAL"
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)
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# Modify for test
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setattr(litellm.router_strategy.provider_budgets, "DEFAULT_REDIS_SYNC_INTERVAL", 2)
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provider_budget_config = {
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"openai": ProviderBudgetInfo(time_period="1d", budget_limit=100),
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}
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router = Router(
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model_list=[
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{
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"model_name": "gpt-3.5-turbo-very-new",
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"litellm_params": {
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"model": "openai/gpt-3.5-turbo",
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},
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},
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],
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provider_budget_config=provider_budget_config,
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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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if router.cache is None:
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raise ValueError("Router cache is not initialized")
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if router.cache.redis_cache is None:
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raise ValueError("Redis cache is not initialized")
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# Get the ProviderBudgetLimiting instance
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spend_key = "provider_spend:openai:1d"
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# Set initial values
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test_spend_1 = 50.0
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await router.cache.redis_cache.async_set_cache(key=spend_key, value=test_spend_1)
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# Make a completion call to trigger spend tracking
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response = await router.acompletion(
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model="gpt-3.5-turbo-very-new",
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messages=[{"role": "user", "content": "Hello"}],
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mock_response="Hello there!",
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)
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# Wait for periodic sync (should be less than DEFAULT_REDIS_SYNC_INTERVAL)
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await asyncio.sleep(2.5)
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# Verify in-memory cache matches Redis
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in_memory_spend = float(router.cache.in_memory_cache.get_cache(spend_key) or 0)
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redis_spend = float(await router.cache.redis_cache.async_get_cache(spend_key) or 0)
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assert (
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abs(in_memory_spend - redis_spend) < 0.01
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) # Allow for small floating point differences
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# Update Redis with new value from a "different litellm proxy instance"
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test_spend_2 = 75.0
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await router.cache.redis_cache.async_set_cache(key=spend_key, value=test_spend_2)
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# Wait for periodic sync
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await asyncio.sleep(2.5)
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# Verify in-memory cache was updated
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in_memory_spend = float(router.cache.in_memory_cache.get_cache(spend_key) or 0)
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assert abs(in_memory_spend - test_spend_2) < 0.01
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# clean up key from router cache
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await router.cache.async_delete_cache(spend_key)
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# Restore original value
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setattr(
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litellm.router_strategy.provider_budgets,
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"DEFAULT_REDIS_SYNC_INTERVAL",
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original_sync_interval,
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)
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