litellm-mirror/litellm/proxy/health_check.py
Krish Dholakia 4ac66bd843
LiteLLM Minor Fixes and Improvements (09/07/2024) (#5580)
* fix(litellm_logging.py): set completion_start_time_float to end_time_float if none

Fixes https://github.com/BerriAI/litellm/issues/5500

* feat(_init_.py): add new 'openai_text_completion_compatible_providers' list

Fixes https://github.com/BerriAI/litellm/issues/5558

Handles correctly routing fireworks ai calls when done via text completions

* fix: fix linting errors

* fix: fix linting errors

* fix(openai.py): fix exception raised

* fix(openai.py): fix error handling

* fix(_redis.py): allow all supported arguments for redis cluster (#5554)

* Revert "fix(_redis.py): allow all supported arguments for redis cluster (#5554)" (#5583)

This reverts commit f2191ef4cb.

* fix(router.py): return model alias w/ underlying deployment on router.get_model_list()

Fixes https://github.com/BerriAI/litellm/issues/5524#issuecomment-2336410666

* test: handle flaky tests

---------

Co-authored-by: Jonas Dittrich <58814480+Kakadus@users.noreply.github.com>
2024-09-09 18:54:17 -07:00

134 lines
3.8 KiB
Python

# This file runs a health check for the LLM, used on litellm/proxy
import asyncio
import logging
import random
from typing import List, Optional
import litellm
from litellm._logging import print_verbose
logger = logging.getLogger(__name__)
ILLEGAL_DISPLAY_PARAMS = ["messages", "api_key", "prompt", "input"]
MINIMAL_DISPLAY_PARAMS = ["model", "mode_error"]
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_endpoint_data(endpoint_data: dict, details: Optional[bool] = True):
"""
Clean the endpoint data for display to users.
"""
return (
{k: v for k, v in endpoint_data.items() if k not in ILLEGAL_DISPLAY_PARAMS}
if details is not False
else {k: v for k, v in endpoint_data.items() if k in MINIMAL_DISPLAY_PARAMS}
)
def filter_deployments_by_id(
model_list: List,
) -> List:
seen_ids = set()
filtered_deployments = []
for deployment in model_list:
_model_info = deployment.get("model_info") or {}
_id = _model_info.get("id") or None
if _id is None:
continue
if _id not in seen_ids:
seen_ids.add(_id)
filtered_deployments.append(deployment)
return filtered_deployments
async def _perform_health_check(model_list: list, details: Optional[bool] = True):
"""
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):
litellm_params = model["litellm_params"]
if isinstance(is_healthy, dict) and "error" not in is_healthy:
healthy_endpoints.append(
_clean_endpoint_data({**litellm_params, **is_healthy}, details)
)
elif isinstance(is_healthy, dict):
unhealthy_endpoints.append(
_clean_endpoint_data({**litellm_params, **is_healthy}, details)
)
else:
unhealthy_endpoints.append(_clean_endpoint_data(litellm_params, details))
return healthy_endpoints, unhealthy_endpoints
async def perform_health_check(
model_list: list,
model: Optional[str] = None,
cli_model: Optional[str] = None,
details: Optional[bool] = True,
):
"""
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:
_new_model_list = [
x for x in model_list if x["litellm_params"]["model"] == model
]
if _new_model_list == []:
_new_model_list = [x for x in model_list if x["model_name"] == model]
model_list = _new_model_list
model_list = filter_deployments_by_id(
model_list=model_list
) # filter duplicate deployments (e.g. when model alias'es are used)
healthy_endpoints, unhealthy_endpoints = await _perform_health_check(
model_list, details
)
return healthy_endpoints, unhealthy_endpoints