forked from phoenix/litellm-mirror
115 lines
No EOL
2.7 KiB
Python
115 lines
No EOL
2.7 KiB
Python
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 = [
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"messages",
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"api_key"
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]
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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 = [
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"Hey how's it going?",
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"What's 1 + 1?"
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]
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return [
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{"role": "user", "content": random.choice(messages)}
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]
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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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async def _check_model(model_params: dict):
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try:
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await litellm.acompletion(**model_params)
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except Exception as e:
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print_verbose(f"Health check failed for model {model_params['model']}. Error: {e}")
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return False
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return True
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prepped_params = []
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for model in model_list:
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litellm_params = model["litellm_params"]
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litellm_params["model"] = litellm.utils.remove_model_id(litellm_params["model"])
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litellm_params["messages"] = _get_random_llm_message()
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prepped_params.append(litellm_params)
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tasks = [_check_model(x) for x in prepped_params]
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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 is_healthy:
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healthy_endpoints.append(cleaned_litellm_params)
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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(model_list: list, model: Optional[str] = None):
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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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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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models_to_check = []
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for model in model_list:
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litellm_params = model["litellm_params"]
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model_name = litellm.utils.remove_model_id(litellm_params["model"])
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if model_name in litellm.all_embedding_models:
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continue # Skip embedding models
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models_to_check.append(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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