forked from phoenix/litellm-mirror
fix(router.py): fix latency based routing
This commit is contained in:
Krrish Dholakia
parent
c41b1418d4
commit
f2d0d5584a
4 changed files with 443 additions and 14 deletions
279
litellm/tests/test_lowest_latency_routing.py
Normal file
279
litellm/tests/test_lowest_latency_routing.py
Normal file
|
|
@ -0,0 +1,279 @@
|
|||
#### What this tests ####
|
||||
# This tests the router's ability to pick deployment with lowest latency
|
||||
|
||||
import sys, os, asyncio, time, random
|
||||
from datetime import datetime
|
||||
import traceback
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
import os
|
||||
|
||||
sys.path.insert(
|
||||
0, os.path.abspath("../..")
|
||||
) # Adds the parent directory to the system path
|
||||
import pytest
|
||||
from litellm import Router
|
||||
import litellm
|
||||
from litellm.router_strategy.lowest_latency import LowestLatencyLoggingHandler
|
||||
from litellm.caching import DualCache
|
||||
|
||||
### UNIT TESTS FOR LATENCY ROUTING ###
|
||||
|
||||
|
||||
def test_latency_updated():
|
||||
test_cache = DualCache()
|
||||
model_list = []
|
||||
lowest_latency_logger = LowestLatencyLoggingHandler(
|
||||
router_cache=test_cache, model_list=model_list
|
||||
)
|
||||
model_group = "gpt-3.5-turbo"
|
||||
deployment_id = "1234"
|
||||
kwargs = {
|
||||
"litellm_params": {
|
||||
"metadata": {
|
||||
"model_group": "gpt-3.5-turbo",
|
||||
"deployment": "azure/chatgpt-v-2",
|
||||
},
|
||||
"model_info": {"id": deployment_id},
|
||||
}
|
||||
}
|
||||
start_time = time.time()
|
||||
response_obj = {"usage": {"total_tokens": 50}}
|
||||
time.sleep(5)
|
||||
end_time = time.time()
|
||||
lowest_latency_logger.log_success_event(
|
||||
response_obj=response_obj,
|
||||
kwargs=kwargs,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
)
|
||||
latency_key = f"{model_group}_latency_map"
|
||||
assert end_time - start_time == test_cache.get_cache(key=latency_key)[deployment_id]
|
||||
|
||||
|
||||
# test_tpm_rpm_updated()
|
||||
|
||||
|
||||
def test_get_available_deployments():
|
||||
test_cache = DualCache()
|
||||
model_list = [
|
||||
{
|
||||
"model_name": "gpt-3.5-turbo",
|
||||
"litellm_params": {"model": "azure/chatgpt-v-2"},
|
||||
"model_info": {"id": "1234"},
|
||||
},
|
||||
{
|
||||
"model_name": "gpt-3.5-turbo",
|
||||
"litellm_params": {"model": "azure/chatgpt-v-2"},
|
||||
"model_info": {"id": "5678"},
|
||||
},
|
||||
]
|
||||
lowest_tpm_logger = LowestLatencyLoggingHandler(
|
||||
router_cache=test_cache, model_list=model_list
|
||||
)
|
||||
model_group = "gpt-3.5-turbo"
|
||||
## DEPLOYMENT 1 ##
|
||||
deployment_id = "1234"
|
||||
kwargs = {
|
||||
"litellm_params": {
|
||||
"metadata": {
|
||||
"model_group": "gpt-3.5-turbo",
|
||||
"deployment": "azure/chatgpt-v-2",
|
||||
},
|
||||
"model_info": {"id": deployment_id},
|
||||
}
|
||||
}
|
||||
start_time = time.time()
|
||||
response_obj = {"usage": {"total_tokens": 50}}
|
||||
end_time = time.time()
|
||||
lowest_tpm_logger.log_success_event(
|
||||
response_obj=response_obj,
|
||||
kwargs=kwargs,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
)
|
||||
## DEPLOYMENT 2 ##
|
||||
deployment_id = "5678"
|
||||
kwargs = {
|
||||
"litellm_params": {
|
||||
"metadata": {
|
||||
"model_group": "gpt-3.5-turbo",
|
||||
"deployment": "azure/chatgpt-v-2",
|
||||
},
|
||||
"model_info": {"id": deployment_id},
|
||||
}
|
||||
}
|
||||
start_time = time.time()
|
||||
response_obj = {"usage": {"total_tokens": 20}}
|
||||
end_time = time.time()
|
||||
lowest_tpm_logger.log_success_event(
|
||||
response_obj=response_obj,
|
||||
kwargs=kwargs,
|
||||
start_time=start_time,
|
||||
end_time=end_time,
|
||||
)
|
||||
|
||||
## CHECK WHAT'S SELECTED ##
|
||||
print(
|
||||
lowest_tpm_logger.get_available_deployments(
|
||||
model_group=model_group, healthy_deployments=model_list
|
||||
)
|
||||
)
|
||||
assert (
|
||||
lowest_tpm_logger.get_available_deployments(
|
||||
model_group=model_group, healthy_deployments=model_list
|
||||
)["model_info"]["id"]
|
||||
== "5678"
|
||||
)
|
||||
|
||||
|
||||
# test_get_available_deployments()
|
||||
|
||||
|
||||
# def test_router_get_available_deployments():
|
||||
# """
|
||||
# Test if routers 'get_available_deployments' returns the least busy deployment
|
||||
# """
|
||||
# model_list = [
|
||||
# {
|
||||
# "model_name": "azure-model",
|
||||
# "litellm_params": {
|
||||
# "model": "azure/gpt-turbo",
|
||||
# "api_key": "os.environ/AZURE_FRANCE_API_KEY",
|
||||
# "api_base": "https://openai-france-1234.openai.azure.com",
|
||||
# "rpm": 1440,
|
||||
# },
|
||||
# "model_info": {"id": 1},
|
||||
# },
|
||||
# {
|
||||
# "model_name": "azure-model",
|
||||
# "litellm_params": {
|
||||
# "model": "azure/gpt-35-turbo",
|
||||
# "api_key": "os.environ/AZURE_EUROPE_API_KEY",
|
||||
# "api_base": "https://my-endpoint-europe-berri-992.openai.azure.com",
|
||||
# "rpm": 6,
|
||||
# },
|
||||
# "model_info": {"id": 2},
|
||||
# },
|
||||
# ]
|
||||
# router = Router(
|
||||
# model_list=model_list,
|
||||
# routing_strategy="usage-based-routing",
|
||||
# set_verbose=False,
|
||||
# num_retries=3,
|
||||
# ) # type: ignore
|
||||
|
||||
# ## DEPLOYMENT 1 ##
|
||||
# deployment_id = 1
|
||||
# kwargs = {
|
||||
# "litellm_params": {
|
||||
# "metadata": {
|
||||
# "model_group": "azure-model",
|
||||
# },
|
||||
# "model_info": {"id": 1},
|
||||
# }
|
||||
# }
|
||||
# start_time = time.time()
|
||||
# response_obj = {"usage": {"total_tokens": 50}}
|
||||
# end_time = time.time()
|
||||
# router.lowesttpm_logger.log_success_event(
|
||||
# response_obj=response_obj,
|
||||
# kwargs=kwargs,
|
||||
# start_time=start_time,
|
||||
# end_time=end_time,
|
||||
# )
|
||||
# ## DEPLOYMENT 2 ##
|
||||
# deployment_id = 2
|
||||
# kwargs = {
|
||||
# "litellm_params": {
|
||||
# "metadata": {
|
||||
# "model_group": "azure-model",
|
||||
# },
|
||||
# "model_info": {"id": 2},
|
||||
# }
|
||||
# }
|
||||
# start_time = time.time()
|
||||
# response_obj = {"usage": {"total_tokens": 20}}
|
||||
# end_time = time.time()
|
||||
# router.lowesttpm_logger.log_success_event(
|
||||
# response_obj=response_obj,
|
||||
# kwargs=kwargs,
|
||||
# start_time=start_time,
|
||||
# end_time=end_time,
|
||||
# )
|
||||
|
||||
# ## CHECK WHAT'S SELECTED ##
|
||||
# # print(router.lowesttpm_logger.get_available_deployments(model_group="azure-model"))
|
||||
# print(router.get_available_deployment(model="azure-model"))
|
||||
# assert router.get_available_deployment(model="azure-model")["model_info"]["id"] == 2
|
||||
|
||||
|
||||
# # test_get_available_deployments()
|
||||
|
||||
|
||||
# # test_router_get_available_deployments()
|
||||
|
||||
|
||||
# @pytest.mark.asyncio
|
||||
# async def test_router_completion_streaming():
|
||||
# messages = [
|
||||
# {"role": "user", "content": "Hello, can you generate a 500 words poem?"}
|
||||
# ]
|
||||
# model = "azure-model"
|
||||
# model_list = [
|
||||
# {
|
||||
# "model_name": "azure-model",
|
||||
# "litellm_params": {
|
||||
# "model": "azure/gpt-turbo",
|
||||
# "api_key": "os.environ/AZURE_FRANCE_API_KEY",
|
||||
# "api_base": "https://openai-france-1234.openai.azure.com",
|
||||
# "rpm": 1440,
|
||||
# },
|
||||
# "model_info": {"id": 1},
|
||||
# },
|
||||
# {
|
||||
# "model_name": "azure-model",
|
||||
# "litellm_params": {
|
||||
# "model": "azure/gpt-35-turbo",
|
||||
# "api_key": "os.environ/AZURE_EUROPE_API_KEY",
|
||||
# "api_base": "https://my-endpoint-europe-berri-992.openai.azure.com",
|
||||
# "rpm": 6,
|
||||
# },
|
||||
# "model_info": {"id": 2},
|
||||
# },
|
||||
# ]
|
||||
# router = Router(
|
||||
# model_list=model_list,
|
||||
# routing_strategy="usage-based-routing",
|
||||
# set_verbose=False,
|
||||
# num_retries=3,
|
||||
# ) # type: ignore
|
||||
|
||||
# ### Make 3 calls, test if 3rd call goes to lowest tpm deployment
|
||||
|
||||
# ## CALL 1+2
|
||||
# tasks = []
|
||||
# response = None
|
||||
# final_response = None
|
||||
# for _ in range(2):
|
||||
# tasks.append(router.acompletion(model=model, messages=messages))
|
||||
# response = await asyncio.gather(*tasks)
|
||||
|
||||
# if response is not None:
|
||||
# ## CALL 3
|
||||
# await asyncio.sleep(1) # let the token update happen
|
||||
# current_minute = datetime.now().strftime("%H-%M")
|
||||
# picked_deployment = router.lowesttpm_logger.get_available_deployments(
|
||||
# model_group=model, healthy_deployments=router.healthy_deployments
|
||||
# )
|
||||
# final_response = await router.acompletion(model=model, messages=messages)
|
||||
# print(f"min deployment id: {picked_deployment}")
|
||||
# print(f"model id: {final_response._hidden_params['model_id']}")
|
||||
# assert (
|
||||
# final_response._hidden_params["model_id"]
|
||||
# == picked_deployment["model_info"]["id"]
|
||||
# )
|
||||
|
||||
|
||||
# # asyncio.run(test_router_completion_streaming())
|
||||
Loading…
Add table
Add a link
Reference in a new issue