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Merge pull request #4197 from BerriAI/litellm_fix_router_level_alerting
[Fix + Refactor] - Router Alerting for llm exceptions + use separate util for sending alert
This commit is contained in:
commit
14f7ca899a
4 changed files with 150 additions and 1 deletions
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@ -1453,7 +1453,7 @@ Model Info:
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pass
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else:
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verbose_proxy_logger.debug(
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"Error sending slack alert. Error=", response.text
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"Error sending slack alert. Error={}".format(response.text)
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)
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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@ -66,6 +66,7 @@ from litellm.types.llms.openai import (
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)
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from litellm.scheduler import Scheduler, FlowItem
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from typing import Iterable
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from litellm.router_utils.handle_error import send_llm_exception_alert
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class Router:
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@ -576,6 +577,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _acompletion(
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@ -1097,6 +1106,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _aimage_generation(self, prompt: str, model: str, **kwargs):
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@ -1221,6 +1238,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _atranscription(self, file: BinaryIO, model: str, **kwargs):
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@ -1387,6 +1412,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def amoderation(self, model: str, input: str, **kwargs):
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@ -1402,6 +1435,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _amoderation(self, model: str, input: str, **kwargs):
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@ -1546,6 +1587,14 @@ class Router:
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _atext_completion(self, model: str, prompt: str, **kwargs):
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@ -1741,6 +1790,14 @@ class Router:
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response = await self.async_function_with_fallbacks(**kwargs)
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return response
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except Exception as e:
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asyncio.create_task(
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send_llm_exception_alert(
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litellm_router_instance=self,
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request_kwargs=kwargs,
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error_traceback_str=traceback.format_exc(),
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original_exception=e,
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)
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)
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raise e
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async def _aembedding(self, input: Union[str, List], model: str, **kwargs):
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@ -4570,6 +4627,8 @@ class Router:
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default_webhook_url=router_alerting_config.webhook_url,
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)
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self.slack_alerting_logger = _slack_alerting_logger
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litellm.callbacks.append(_slack_alerting_logger)
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litellm.success_callback.append(
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_slack_alerting_logger.response_taking_too_long_callback
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53
litellm/router_utils/handle_error.py
Normal file
53
litellm/router_utils/handle_error.py
Normal file
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@ -0,0 +1,53 @@
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import asyncio
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import traceback
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from litellm.router import Router as _Router
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LitellmRouter = _Router
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else:
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LitellmRouter = Any
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async def send_llm_exception_alert(
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litellm_router_instance: LitellmRouter,
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request_kwargs: dict,
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error_traceback_str: str,
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original_exception,
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):
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"""
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Sends a Slack / MS Teams alert for the LLM API call failure.
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Parameters:
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litellm_router_instance (_Router): The LitellmRouter instance.
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original_exception (Any): The original exception that occurred.
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Returns:
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None
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"""
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if litellm_router_instance is None:
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return
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if not hasattr(litellm_router_instance, "slack_alerting_logger"):
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return
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if litellm_router_instance.slack_alerting_logger is None:
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return
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if "proxy_server_request" in request_kwargs:
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# Do not send any alert if it's a request from litellm proxy server request
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# the proxy is already instrumented to send LLM API call failures
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return
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litellm_debug_info = getattr(original_exception, "litellm_debug_info", None)
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exception_str = str(original_exception)
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if litellm_debug_info is not None:
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exception_str += litellm_debug_info
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exception_str += f"\n\n{error_traceback_str[:2000]}"
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await litellm_router_instance.slack_alerting_logger.send_alert(
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message=f"LLM API call failed: `{exception_str}`",
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level="High",
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alert_type="llm_exceptions",
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)
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@ -25,6 +25,9 @@ import pytest
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from litellm.router import AlertingConfig, Router
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from litellm.proxy._types import CallInfo
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from openai import APIError
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from litellm.router import AlertingConfig
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import litellm
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import os
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@pytest.mark.parametrize(
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@ -743,3 +746,37 @@ async def test_region_outage_alerting_called(
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mock_send_alert.assert_called_once()
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else:
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mock_send_alert.assert_not_called()
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@pytest.mark.asyncio
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@pytest.mark.skip(reason="test only needs to run locally ")
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async def test_alerting():
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router = litellm.Router(
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model_list=[
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{
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"model_name": "gpt-3.5-turbo",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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"api_key": "bad_key",
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},
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}
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],
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debug_level="DEBUG",
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set_verbose=True,
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alerting_config=AlertingConfig(
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alerting_threshold=10, # threshold for slow / hanging llm responses (in seconds). Defaults to 300 seconds
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webhook_url=os.getenv(
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"SLACK_WEBHOOK_URL"
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), # webhook you want to send alerts to
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),
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)
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try:
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await router.acompletion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hey, how's it going?"}],
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)
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except:
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pass
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finally:
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await asyncio.sleep(3)
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