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