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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
344 lines
11 KiB
Python
344 lines
11 KiB
Python
#### What this tests ####
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# This tests caching on the router
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import asyncio
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import os
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import time
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import traceback
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from unittest.mock import patch
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from typing import Union
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import pytest
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import litellm
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from litellm import Router
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from litellm.caching import RedisCache, RedisClusterCache
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## Scenarios
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## 1. 2 models - openai + azure - 1 model group "gpt-3.5-turbo",
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## 2. 2 models - openai, azure - 2 diff model groups, 1 caching group
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@pytest.mark.asyncio
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async def test_router_async_caching_with_ssl_url():
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"""
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Tests when a redis url is passed to the router, if caching is correctly setup
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"""
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try:
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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",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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],
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redis_url=os.getenv("REDIS_SSL_URL"),
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)
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response = await router.cache.redis_cache.ping()
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print(f"response: {response}")
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assert response == True
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except Exception as e:
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pytest.fail(f"An exception occurred - {str(e)}")
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def test_router_sync_caching_with_ssl_url():
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"""
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Tests when a redis url is passed to the router, if caching is correctly setup
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"""
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try:
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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",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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],
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redis_url=os.getenv("REDIS_SSL_URL"),
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)
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response = router.cache.redis_cache.sync_ping()
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print(f"response: {response}")
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assert response == True
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except Exception as e:
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pytest.fail(f"An exception occurred - {str(e)}")
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@pytest.mark.asyncio
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@pytest.mark.flaky(retries=3, delay=1)
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async def test_acompletion_caching_on_router():
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# tests acompletion + caching on router
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try:
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litellm.set_verbose = True
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model_list = [
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{
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"model_name": "gpt-4.1-nano",
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"litellm_params": {
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"model": "gpt-4.1-nano",
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"api_key": os.getenv("OPENAI_API_KEY"),
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"mock_response": "Hello world",
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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]
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messages = [
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{"role": "user", "content": f"write a one sentence poem {time.time()}?"}
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]
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start_time = time.time()
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router = Router(
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model_list=model_list,
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redis_host=os.environ["REDIS_HOST"],
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redis_password=os.environ["REDIS_PASSWORD"],
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redis_port=os.environ["REDIS_PORT"],
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cache_responses=True,
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timeout=30,
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routing_strategy="simple-shuffle",
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)
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response1 = await router.acompletion(
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model="gpt-4.1-nano", messages=messages, temperature=1
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)
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print(f"response1: {response1}")
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await asyncio.sleep(5) # add cache is async, async sleep for cache to get set
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response2 = await router.acompletion(
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model="gpt-4.1-nano", messages=messages, temperature=1
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)
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print(f"response2: {response2}")
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assert response1.id == response2.id
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assert len(response1.choices[0].message.content) > 0
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assert (
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response1.choices[0].message.content == response2.choices[0].message.content
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)
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router.reset()
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except litellm.Timeout as e:
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end_time = time.time()
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print(f"timeout error occurred: {end_time - start_time}")
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pass
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except Exception as e:
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traceback.print_exc()
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pytest.fail(f"Error occurred: {e}")
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@pytest.mark.asyncio
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@pytest.mark.flaky(retries=3, delay=1)
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async def test_completion_caching_on_router():
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# tests completion + caching on router
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try:
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litellm.set_verbose = True
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model_list = [
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{
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"model_name": "gpt-3.5-turbo",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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"tpm": 1000,
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"rpm": 1,
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},
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]
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messages = [
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{"role": "user", "content": f"write a one sentence poem {time.time()}?"}
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]
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router = Router(
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model_list=model_list,
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redis_host=os.environ["REDIS_HOST"],
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redis_password=os.environ["REDIS_PASSWORD"],
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redis_port=os.environ["REDIS_PORT"],
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cache_responses=True,
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timeout=30,
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routing_strategy_args={"ttl": 10},
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routing_strategy="usage-based-routing",
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)
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response1 = await router.acompletion(
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model="gpt-3.5-turbo", messages=messages, temperature=1
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)
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print(f"response1: {response1}")
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await asyncio.sleep(10)
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response2 = await router.acompletion(
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model="gpt-3.5-turbo", messages=messages, temperature=1
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)
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print(f"response2: {response2}")
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assert len(response1.choices[0].message.content) > 0
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assert len(response2.choices[0].message.content) > 0
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router.reset()
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except litellm.Timeout as e:
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pass
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except Exception as e:
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traceback.print_exc()
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pytest.fail(f"Error occurred: {e}")
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@pytest.mark.asyncio
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async def test_acompletion_caching_with_ttl_on_router():
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# tests acompletion + caching on router
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try:
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litellm.set_verbose = True
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model_list = [
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{
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"model_name": "gpt-3.5-turbo",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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{
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"model_name": "gpt-3.5-turbo",
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"litellm_params": {
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"model": "gpt-4.1-nano",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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]
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messages = [
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{"role": "user", "content": f"write a one sentence poem {time.time()}?"}
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]
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start_time = time.time()
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router = Router(
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model_list=model_list,
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redis_host=os.environ["REDIS_HOST"],
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redis_password=os.environ["REDIS_PASSWORD"],
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redis_port=os.environ["REDIS_PORT"],
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cache_responses=True,
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timeout=30,
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routing_strategy="simple-shuffle",
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)
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response1 = await router.acompletion(
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model="gpt-3.5-turbo", messages=messages, temperature=1, ttl=0
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)
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print(f"response1: {response1}")
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await asyncio.sleep(1) # add cache is async, async sleep for cache to get set
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response2 = await router.acompletion(
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model="gpt-3.5-turbo", messages=messages, temperature=1, ttl=0
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)
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print(f"response2: {response2}")
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assert response1.id != response2.id
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assert len(response1.choices[0].message.content) > 0
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assert (
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response1.choices[0].message.content != response2.choices[0].message.content
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)
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router.reset()
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except litellm.Timeout as e:
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end_time = time.time()
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print(f"timeout error occurred: {end_time - start_time}")
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pass
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except Exception as e:
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traceback.print_exc()
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pytest.fail(f"Error occurred: {e}")
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@pytest.mark.asyncio
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async def test_acompletion_caching_on_router_caching_groups():
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# tests acompletion + caching on router
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try:
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litellm.set_verbose = True
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model_list = [
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{
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"model_name": "openai-gpt-3.5-turbo",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": os.getenv("OPENAI_API_KEY"),
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"mock_response": "Hello world",
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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{
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"model_name": "azure-gpt-3.5-turbo",
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"litellm_params": {
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"model": "azure/gpt-4.1-mini",
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"api_key": os.getenv("AZURE_AI_API_KEY"),
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"api_base": os.getenv("AZURE_AI_API_BASE"),
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"api_version": os.getenv("AZURE_API_VERSION"),
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},
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"tpm": 100000,
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"rpm": 10000,
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},
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]
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messages = [
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{"role": "user", "content": f"write a one sentence poem {time.time()}?"}
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]
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start_time = time.time()
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router = Router(
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model_list=model_list,
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redis_host=os.environ["REDIS_HOST"],
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redis_password=os.environ["REDIS_PASSWORD"],
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redis_port=os.environ["REDIS_PORT"],
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cache_responses=True,
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timeout=30,
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routing_strategy="simple-shuffle",
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caching_groups=[("openai-gpt-3.5-turbo", "azure-gpt-3.5-turbo")],
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)
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response1 = await router.acompletion(
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model="openai-gpt-3.5-turbo", messages=messages, temperature=1
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)
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print(f"response1: {response1}")
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await asyncio.sleep(1) # add cache is async, async sleep for cache to get set
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response2 = await router.acompletion(
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model="azure-gpt-3.5-turbo", messages=messages, temperature=1
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)
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print(f"response2: {response2}")
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assert response1.id == response2.id
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assert len(response1.choices[0].message.content) > 0
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assert (
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response1.choices[0].message.content == response2.choices[0].message.content
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)
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router.reset()
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except litellm.Timeout as e:
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end_time = time.time()
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print(f"timeout error occurred: {end_time - start_time}")
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pass
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except Exception as e:
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traceback.print_exc()
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pytest.fail(f"Error occurred: {e}")
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@pytest.mark.parametrize(
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"startup_nodes, expected_cache_type",
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[
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pytest.param(
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[dict(host="node1.localhost", port=6379)],
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RedisClusterCache,
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id="Expects a RedisClusterCache instance when startup_nodes provided",
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),
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pytest.param(
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None,
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RedisCache,
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id="Expects a RedisCache instance when there is no startup nodes",
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),
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],
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)
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def test_create_correct_redis_cache_instance(
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startup_nodes: Union[list[dict], None],
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expected_cache_type: Union[type[RedisClusterCache], type[RedisCache]],
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):
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cache_config = dict(
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host="mockhost",
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port=6379,
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password="mock-password",
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startup_nodes=startup_nodes,
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)
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def _mock_redis_cache_init(*args, **kwargs): ...
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with patch.object(RedisCache, "__init__", _mock_redis_cache_init):
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redis_cache = Router._create_redis_cache(cache_config)
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assert isinstance(redis_cache, expected_cache_type)
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