litellm / litellm /proxy /health_check.py
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# This file runs a health check for the LLM, used on litellm/proxy
import asyncio
import random
from typing import Optional
import litellm
import logging
from litellm._logging import print_verbose
logger = logging.getLogger(__name__)
ILLEGAL_DISPLAY_PARAMS = ["messages", "api_key", "prompt", "input"]
def _get_random_llm_message():
"""
Get a random message from the LLM.
"""
messages = ["Hey how's it going?", "What's 1 + 1?"]
return [{"role": "user", "content": random.choice(messages)}]
def _clean_litellm_params(litellm_params: dict):
"""
Clean the litellm params for display to users.
"""
return {k: v for k, v in litellm_params.items() if k not in ILLEGAL_DISPLAY_PARAMS}
async def _perform_health_check(model_list: list):
"""
Perform a health check for each model in the list.
"""
tasks = []
for model in model_list:
litellm_params = model["litellm_params"]
model_info = model.get("model_info", {})
litellm_params["messages"] = _get_random_llm_message()
mode = model_info.get("mode", None)
tasks.append(
litellm.ahealth_check(
litellm_params,
mode=mode,
prompt="test from litellm",
input=["test from litellm"],
)
)
results = await asyncio.gather(*tasks)
healthy_endpoints = []
unhealthy_endpoints = []
for is_healthy, model in zip(results, model_list):
cleaned_litellm_params = _clean_litellm_params(model["litellm_params"])
if isinstance(is_healthy, dict) and "error" not in is_healthy:
healthy_endpoints.append({**cleaned_litellm_params, **is_healthy})
elif isinstance(is_healthy, dict):
unhealthy_endpoints.append({**cleaned_litellm_params, **is_healthy})
else:
unhealthy_endpoints.append(cleaned_litellm_params)
return healthy_endpoints, unhealthy_endpoints
async def perform_health_check(
model_list: list, model: Optional[str] = None, cli_model: Optional[str] = None
):
"""
Perform a health check on the system.
Returns:
(bool): True if the health check passes, False otherwise.
"""
if not model_list:
if cli_model:
model_list = [
{"model_name": cli_model, "litellm_params": {"model": cli_model}}
]
else:
return [], []
if model is not None:
model_list = [x for x in model_list if x["litellm_params"]["model"] == model]
healthy_endpoints, unhealthy_endpoints = await _perform_health_check(model_list)
return healthy_endpoints, unhealthy_endpoints