#### What this tests #### # This tests caching on the router import asyncio import os import time import traceback from unittest.mock import patch from typing import Union import pytest import litellm from litellm import Router from litellm.caching import RedisCache, RedisClusterCache ## Scenarios ## 1. 2 models - openai + azure - 1 model group "gpt-3.5-turbo", ## 2. 2 models - openai, azure - 2 diff model groups, 1 caching group @pytest.mark.asyncio @pytest.mark.flaky(retries=3, delay=1) async def test_acompletion_caching_on_router(): # tests acompletion + caching on router try: litellm.set_verbose = True model_list = [ { "model_name": "gpt-4.1-nano", "litellm_params": { "model": "gpt-4.1-nano", "api_key": os.getenv("OPENAI_API_KEY"), "mock_response": "Hello world", }, "tpm": 100000, "rpm": 10000, }, ] messages = [ {"role": "user", "content": f"write a one sentence poem {time.time()}?"} ] start_time = time.time() router = Router( model_list=model_list, redis_host=os.environ["REDIS_HOST"], redis_password=os.environ["REDIS_PASSWORD"], redis_port=os.environ["REDIS_PORT"], cache_responses=True, timeout=30, routing_strategy="simple-shuffle", ) response1 = await router.acompletion( model="gpt-4.1-nano", messages=messages, temperature=1 ) print(f"response1: {response1}") await asyncio.sleep(5) # add cache is async, async sleep for cache to get set response2 = await router.acompletion( model="gpt-4.1-nano", messages=messages, temperature=1 ) print(f"response2: {response2}") assert response1.id == response2.id assert len(response1.choices[0].message.content) > 0 assert ( response1.choices[0].message.content == response2.choices[0].message.content ) router.reset() except litellm.Timeout as e: end_time = time.time() print(f"timeout error occurred: {end_time - start_time}") pass except Exception as e: traceback.print_exc() pytest.fail(f"Error occurred: {e}") @pytest.mark.asyncio @pytest.mark.flaky(retries=3, delay=1) async def test_completion_caching_on_router(): # tests completion + caching on router try: litellm.set_verbose = True model_list = [ { "model_name": "gpt-3.5-turbo", "litellm_params": { "model": "gpt-3.5-turbo", "api_key": os.getenv("OPENAI_API_KEY"), }, "tpm": 1000, "rpm": 1, }, ] messages = [ {"role": "user", "content": f"write a one sentence poem {time.time()}?"} ] router = Router( model_list=model_list, redis_host=os.environ["REDIS_HOST"], redis_password=os.environ["REDIS_PASSWORD"], redis_port=os.environ["REDIS_PORT"], cache_responses=True, timeout=30, routing_strategy_args={"ttl": 10}, routing_strategy="usage-based-routing", ) response1 = await router.acompletion( model="gpt-3.5-turbo", messages=messages, temperature=1 ) print(f"response1: {response1}") await asyncio.sleep(10) response2 = await router.acompletion( model="gpt-3.5-turbo", messages=messages, temperature=1 ) print(f"response2: {response2}") assert len(response1.choices[0].message.content) > 0 assert len(response2.choices[0].message.content) > 0 router.reset() except litellm.Timeout as e: pass except Exception as e: traceback.print_exc() pytest.fail(f"Error occurred: {e}") @pytest.mark.asyncio async def test_acompletion_caching_with_ttl_on_router(): # tests acompletion + caching on router try: litellm.set_verbose = True model_list = [ { "model_name": "gpt-3.5-turbo", "litellm_params": { "model": "gpt-3.5-turbo", "api_key": os.getenv("OPENAI_API_KEY"), }, "tpm": 100000, "rpm": 10000, }, { "model_name": "gpt-3.5-turbo", "litellm_params": { "model": "gpt-4.1-nano", "api_key": os.getenv("OPENAI_API_KEY"), }, "tpm": 100000, "rpm": 10000, }, ] messages = [ {"role": "user", "content": f"write a one sentence poem {time.time()}?"} ] start_time = time.time() router = Router( model_list=model_list, redis_host=os.environ["REDIS_HOST"], redis_password=os.environ["REDIS_PASSWORD"], redis_port=os.environ["REDIS_PORT"], cache_responses=True, timeout=30, routing_strategy="simple-shuffle", ) response1 = await router.acompletion( model="gpt-3.5-turbo", messages=messages, temperature=1, ttl=0 ) print(f"response1: {response1}") await asyncio.sleep(1) # add cache is async, async sleep for cache to get set response2 = await router.acompletion( model="gpt-3.5-turbo", messages=messages, temperature=1, ttl=0 ) print(f"response2: {response2}") assert response1.id != response2.id assert len(response1.choices[0].message.content) > 0 assert ( response1.choices[0].message.content != response2.choices[0].message.content ) router.reset() except litellm.Timeout as e: end_time = time.time() print(f"timeout error occurred: {end_time - start_time}") pass except Exception as e: traceback.print_exc() pytest.fail(f"Error occurred: {e}") @pytest.mark.asyncio async def test_acompletion_caching_on_router_caching_groups(): # tests acompletion + caching on router try: litellm.set_verbose = True model_list = [ { "model_name": "openai-gpt-3.5-turbo", "litellm_params": { "model": "gpt-3.5-turbo", "api_key": os.getenv("OPENAI_API_KEY"), "mock_response": "Hello world", }, "tpm": 100000, "rpm": 10000, }, { "model_name": "azure-gpt-3.5-turbo", "litellm_params": { "model": "azure/gpt-4.1-mini", "api_key": os.getenv("AZURE_AI_API_KEY"), "api_base": os.getenv("AZURE_AI_API_BASE"), "api_version": os.getenv("AZURE_API_VERSION"), }, "tpm": 100000, "rpm": 10000, }, ] messages = [ {"role": "user", "content": f"write a one sentence poem {time.time()}?"} ] start_time = time.time() router = Router( model_list=model_list, redis_host=os.environ["REDIS_HOST"], redis_password=os.environ["REDIS_PASSWORD"], redis_port=os.environ["REDIS_PORT"], cache_responses=True, timeout=30, routing_strategy="simple-shuffle", caching_groups=[("openai-gpt-3.5-turbo", "azure-gpt-3.5-turbo")], ) response1 = await router.acompletion( model="openai-gpt-3.5-turbo", messages=messages, temperature=1 ) print(f"response1: {response1}") await asyncio.sleep(1) # add cache is async, async sleep for cache to get set response2 = await router.acompletion( model="azure-gpt-3.5-turbo", messages=messages, temperature=1 ) print(f"response2: {response2}") assert response1.id == response2.id assert len(response1.choices[0].message.content) > 0 assert ( response1.choices[0].message.content == response2.choices[0].message.content ) router.reset() except litellm.Timeout as e: end_time = time.time() print(f"timeout error occurred: {end_time - start_time}") pass except Exception as e: traceback.print_exc() pytest.fail(f"Error occurred: {e}") @pytest.mark.parametrize( "startup_nodes, expected_cache_type", [ pytest.param( [dict(host="node1.localhost", port=6379)], RedisClusterCache, id="Expects a RedisClusterCache instance when startup_nodes provided", ), pytest.param( None, RedisCache, id="Expects a RedisCache instance when there is no startup nodes", ), ], ) def test_create_correct_redis_cache_instance( startup_nodes: Union[list[dict], None], expected_cache_type: Union[type[RedisClusterCache], type[RedisCache]], ): cache_config = dict( host="mockhost", port=6379, password="mock-password", startup_nodes=startup_nodes, ) def _mock_redis_cache_init(*args, **kwargs): ... with patch.object(RedisCache, "__init__", _mock_redis_cache_init): redis_cache = Router._create_redis_cache(cache_config) assert isinstance(redis_cache, expected_cache_type)