forked from phoenix/litellm-mirror
* test(router_code_coverage.py): check if all router functions are directly tested prevent regressions * docs(configs.md): document all environment variables (#6185) * docs: make it easier to find anthropic/openai prompt caching doc * aded codecov yml (#6207) * fix codecov.yaml * run ci/cd again * (refactor) caching use LLMCachingHandler for async_get_cache and set_cache (#6208) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * fix test_embedding_caching_azure_individual_items_reordered * (feat) prometheus have well defined latency buckets (#6211) * fix prometheus have well defined latency buckets * use a well define latency bucket * use types file for prometheus logging * add test for LATENCY_BUCKETS * fix prom testing * fix config.yml * (refactor caching) use LLMCachingHandler for caching streaming responses (#6210) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * bump (#6187) * update code cov yaml * fix config.yml * add caching component to code cov * fix config.yml ci/cd * add coverage for proxy auth * (refactor caching) use common `_retrieve_from_cache` helper (#6212) * use folder for caching * fix importing caching * fix clickhouse pyright * fix linting * fix correctly pass kwargs and args * fix test case for embedding * fix linting * fix embedding caching logic * fix refactor handle utils.py * refactor async set stream cache * fix linting * refactor - use _retrieve_from_cache * refactor use _convert_cached_result_to_model_response * fix linting errors * bump: version 1.49.2 → 1.49.3 * fix code cov components * test(test_router_helpers.py): add router component unit tests * test: add additional router tests * test: add more router testing * test: add more router testing + more mock functions * ci(router_code_coverage.py): fix check --------- Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com> Co-authored-by: yujonglee <yujonglee.dev@gmail.com>
252 lines
8.3 KiB
Python
252 lines
8.3 KiB
Python
import sys
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import os
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import traceback
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from dotenv import load_dotenv
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from fastapi import Request
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from datetime import datetime
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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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from litellm import Router
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import pytest
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from unittest.mock import patch, MagicMock, AsyncMock
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@pytest.fixture
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def model_list():
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return [
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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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},
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{
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"model_name": "gpt-4o",
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"litellm_params": {
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"model": "gpt-4o",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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},
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{
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"model_name": "dall-e-3",
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"litellm_params": {
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"model": "dall-e-3",
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"api_key": os.getenv("OPENAI_API_KEY"),
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},
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},
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]
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def test_validate_fallbacks(model_list):
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router = Router(model_list=model_list, fallbacks=[{"gpt-4o": "gpt-3.5-turbo"}])
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router.validate_fallbacks(fallback_param=[{"gpt-4o": "gpt-3.5-turbo"}])
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def test_routing_strategy_init(model_list):
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"""Test if all routing strategies are initialized correctly"""
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from litellm.types.router import RoutingStrategy
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router = Router(model_list=model_list)
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for strategy in RoutingStrategy._member_names_:
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router.routing_strategy_init(
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routing_strategy=strategy, routing_strategy_args={}
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)
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def test_print_deployment(model_list):
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"""Test if the api key is masked correctly"""
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router = Router(model_list=model_list)
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deployment = {
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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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}
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printed_deployment = router.print_deployment(deployment)
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assert 10 * "*" in printed_deployment["litellm_params"]["api_key"]
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def test_completion(model_list):
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"""Test if the completion function is working correctly"""
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router = Router(model_list=model_list)
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response = router._completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="I'm fine, thank you!",
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)
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assert response["choices"][0]["message"]["content"] == "I'm fine, thank you!"
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.flaky(retries=6, delay=1)
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@pytest.mark.asyncio
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async def test_image_generation(model_list, sync_mode):
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"""Test if the underlying '_image_generation' function is working correctly"""
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from litellm.types.utils import ImageResponse
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router = Router(model_list=model_list)
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if sync_mode:
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response = router._image_generation(
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model="dall-e-3",
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prompt="A cute baby sea otter",
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)
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else:
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response = await router._aimage_generation(
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model="dall-e-3",
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prompt="A cute baby sea otter",
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)
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ImageResponse.model_validate(response)
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@pytest.mark.asyncio
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async def test_router_acompletion_util(model_list):
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"""Test if the underlying '_acompletion' function is working correctly"""
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router = Router(model_list=model_list)
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response = await router._acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="I'm fine, thank you!",
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)
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assert response["choices"][0]["message"]["content"] == "I'm fine, thank you!"
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@pytest.mark.asyncio
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async def test_router_abatch_completion_one_model_multiple_requests_util(model_list):
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"""Test if the 'abatch_completion_one_model_multiple_requests' function is working correctly"""
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router = Router(model_list=model_list)
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response = await router.abatch_completion_one_model_multiple_requests(
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model="gpt-3.5-turbo",
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messages=[
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[{"role": "user", "content": "Hello, how are you?"}],
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[{"role": "user", "content": "Hello, how are you?"}],
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],
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mock_response="I'm fine, thank you!",
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)
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print(response)
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assert response[0]["choices"][0]["message"]["content"] == "I'm fine, thank you!"
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assert response[1]["choices"][0]["message"]["content"] == "I'm fine, thank you!"
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@pytest.mark.asyncio
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async def test_router_schedule_acompletion(model_list):
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"""Test if the 'schedule_acompletion' function is working correctly"""
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router = Router(model_list=model_list)
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response = await router.schedule_acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="I'm fine, thank you!",
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priority=1,
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)
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assert response["choices"][0]["message"]["content"] == "I'm fine, thank you!"
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@pytest.mark.asyncio
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async def test_router_arealtime(model_list):
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"""Test if the '_arealtime' function is working correctly"""
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import litellm
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router = Router(model_list=model_list)
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with patch.object(litellm, "_arealtime", AsyncMock()) as mock_arealtime:
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mock_arealtime.return_value = "I'm fine, thank you!"
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await router._arealtime(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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)
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mock_arealtime.assert_awaited_once()
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.asyncio
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async def test_router_function_with_fallbacks(model_list, sync_mode):
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"""Test if the router 'async_function_with_fallbacks' + 'function_with_fallbacks' are working correctly"""
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router = Router(model_list=model_list)
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data = {
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "Hello, how are you?"}],
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"mock_response": "I'm fine, thank you!",
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"num_retries": 0,
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}
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if sync_mode:
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response = router.function_with_fallbacks(
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original_function=router._completion,
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**data,
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)
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else:
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response = await router.async_function_with_fallbacks(
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original_function=router._acompletion,
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**data,
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)
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assert response.choices[0].message.content == "I'm fine, thank you!"
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.asyncio
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async def test_router_function_with_retries(model_list, sync_mode):
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"""Test if the router 'async_function_with_retries' + 'function_with_retries' are working correctly"""
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router = Router(model_list=model_list)
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data = {
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"model": "gpt-3.5-turbo",
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"messages": [{"role": "user", "content": "Hello, how are you?"}],
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"mock_response": "I'm fine, thank you!",
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"num_retries": 0,
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}
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if sync_mode:
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response = router.function_with_retries(
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original_function=router._completion,
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**data,
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)
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else:
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response = await router.async_function_with_retries(
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original_function=router._acompletion,
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**data,
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)
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assert response.choices[0].message.content == "I'm fine, thank you!"
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@pytest.mark.asyncio
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async def test_router_make_call(model_list):
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"""Test if the router 'make_call' function is working correctly"""
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## ACOMPLETION
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router = Router(model_list=model_list)
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response = await router.make_call(
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original_function=router._acompletion,
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="I'm fine, thank you!",
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)
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assert response.choices[0].message.content == "I'm fine, thank you!"
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## ATEXT_COMPLETION
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response = await router.make_call(
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original_function=router._atext_completion,
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model="gpt-3.5-turbo",
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prompt="Hello, how are you?",
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mock_response="I'm fine, thank you!",
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)
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assert response.choices[0].text == "I'm fine, thank you!"
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## AEMBEDDING
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response = await router.make_call(
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original_function=router._aembedding,
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model="gpt-3.5-turbo",
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input="Hello, how are you?",
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mock_response=[0.1, 0.2, 0.3],
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)
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assert response.data[0].embedding == [0.1, 0.2, 0.3]
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## AIMAGE_GENERATION
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response = await router.make_call(
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original_function=router._aimage_generation,
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model="dall-e-3",
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prompt="A cute baby sea otter",
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mock_response="https://example.com/image.png",
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)
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assert response.data[0].url == "https://example.com/image.png"
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