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https://github.com/BerriAI/litellm.git
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Merge branch 'main' into litellm_standardize_slack_exception_msg_format
This commit is contained in:
commit
8413fdf4c7
4 changed files with 81 additions and 30 deletions
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@ -864,27 +864,37 @@ Model Info:
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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"""Log deployment latency"""
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if "daily_reports" in self.alert_types:
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model_id = (
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kwargs.get("litellm_params", {}).get("model_info", {}).get("id", "")
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)
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response_s: timedelta = end_time - start_time
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final_value = response_s
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total_tokens = 0
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if isinstance(response_obj, litellm.ModelResponse):
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completion_tokens = response_obj.usage.completion_tokens
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final_value = float(response_s.total_seconds() / completion_tokens)
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await self.async_update_daily_reports(
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DeploymentMetrics(
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id=model_id,
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failed_request=False,
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latency_per_output_token=final_value,
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updated_at=litellm.utils.get_utc_datetime(),
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try:
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if "daily_reports" in self.alert_types:
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model_id = (
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kwargs.get("litellm_params", {}).get("model_info", {}).get("id", "")
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)
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response_s: timedelta = end_time - start_time
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final_value = response_s
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total_tokens = 0
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if isinstance(response_obj, litellm.ModelResponse):
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completion_tokens = response_obj.usage.completion_tokens
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if completion_tokens is not None and completion_tokens > 0:
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final_value = float(
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response_s.total_seconds() / completion_tokens
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)
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await self.async_update_daily_reports(
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DeploymentMetrics(
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id=model_id,
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failed_request=False,
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latency_per_output_token=final_value,
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updated_at=litellm.utils.get_utc_datetime(),
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)
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)
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except Exception as e:
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verbose_proxy_logger.error(
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"[Non-Blocking Error] Slack Alerting: Got error in logging LLM deployment latency: ",
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e,
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)
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pass
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async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
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"""Log failure + deployment latency"""
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@ -131,7 +131,13 @@ class ProxyLogging:
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alerting_args=alerting_args,
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)
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if "daily_reports" in self.alert_types:
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if (
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self.alerting is not None
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and "slack" in self.alerting
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and "daily_reports" in self.alert_types
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):
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# NOTE: ENSURE we only add callbacks when alerting is on
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# We should NOT add callbacks when alerting is off
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litellm.callbacks.append(self.slack_alerting_instance) # type: ignore
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if redis_cache is not None:
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@ -1923,10 +1923,28 @@ class Router:
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metadata = kwargs.get("litellm_params", {}).get("metadata", None)
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_model_info = kwargs.get("litellm_params", {}).get("model_info", {})
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exception_response = getattr(exception, "response", {})
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exception_headers = getattr(exception_response, "headers", None)
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_time_to_cooldown = self.cooldown_time
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if exception_headers is not None:
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_time_to_cooldown = (
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litellm.utils._get_retry_after_from_exception_header(
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response_headers=exception_headers
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)
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)
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if _time_to_cooldown < 0:
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# if the response headers did not read it -> set to default cooldown time
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_time_to_cooldown = self.cooldown_time
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if isinstance(_model_info, dict):
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deployment_id = _model_info.get("id", None)
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self._set_cooldown_deployments(
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exception_status=exception_status, deployment=deployment_id
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exception_status=exception_status,
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deployment=deployment_id,
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time_to_cooldown=_time_to_cooldown,
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) # setting deployment_id in cooldown deployments
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if custom_llm_provider:
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model_name = f"{custom_llm_provider}/{model_name}"
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@ -2026,7 +2044,10 @@ class Router:
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return True
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def _set_cooldown_deployments(
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self, exception_status: Union[str, int], deployment: Optional[str] = None
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self,
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exception_status: Union[str, int],
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deployment: Optional[str] = None,
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time_to_cooldown: Optional[float] = None,
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):
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"""
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Add a model to the list of models being cooled down for that minute, if it exceeds the allowed fails / minute
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@ -2053,6 +2074,8 @@ class Router:
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f"Attempting to add {deployment} to cooldown list. updated_fails: {updated_fails}; self.allowed_fails: {self.allowed_fails}"
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)
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cooldown_time = self.cooldown_time or 1
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if time_to_cooldown is not None:
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cooldown_time = time_to_cooldown
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if isinstance(exception_status, str):
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try:
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@ -2090,7 +2113,9 @@ class Router:
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)
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self.send_deployment_cooldown_alert(
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deployment_id=deployment, exception_status=exception_status
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deployment_id=deployment,
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exception_status=exception_status,
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cooldown_time=cooldown_time,
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)
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else:
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self.failed_calls.set_cache(
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@ -3751,7 +3776,10 @@ class Router:
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print("\033[94m\nInitialized Alerting for litellm.Router\033[0m\n") # noqa
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def send_deployment_cooldown_alert(
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self, deployment_id: str, exception_status: Union[str, int]
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self,
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deployment_id: str,
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exception_status: Union[str, int],
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cooldown_time: float,
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):
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try:
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from litellm.proxy.proxy_server import proxy_logging_obj
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@ -3775,7 +3803,7 @@ class Router:
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)
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asyncio.create_task(
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proxy_logging_obj.slack_alerting_instance.send_alert(
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message=f"Router: Cooling down Deployment:\nModel Name: `{_model_name}`\nAPI Base: `{_api_base}`\nCooldown Time: `{self.cooldown_time}` seconds\nException Status Code: `{str(exception_status)}`\n\nChange 'cooldown_time' + 'allowed_fails' under 'Router Settings' on proxy UI, or via config - https://docs.litellm.ai/docs/proxy/reliability#fallbacks--retries--timeouts--cooldowns",
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message=f"Router: Cooling down Deployment:\nModel Name: `{_model_name}`\nAPI Base: `{_api_base}`\nCooldown Time: `{cooldown_time} seconds`\nException Status Code: `{str(exception_status)}`\n\nChange 'cooldown_time' + 'allowed_fails' under 'Router Settings' on proxy UI, or via config - https://docs.litellm.ai/docs/proxy/reliability#fallbacks--retries--timeouts--cooldowns",
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alert_type="cooldown_deployment",
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level="Low",
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)
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@ -8071,11 +8071,8 @@ def _should_retry(status_code: int):
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return False
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def _calculate_retry_after(
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remaining_retries: int,
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max_retries: int,
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def _get_retry_after_from_exception_header(
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response_headers: Optional[httpx.Headers] = None,
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min_timeout: int = 0,
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):
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"""
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Reimplementation of openai's calculate retry after, since that one can't be imported.
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@ -8101,10 +8098,20 @@ def _calculate_retry_after(
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retry_after = int(retry_date - time.time())
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else:
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retry_after = -1
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return retry_after
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except Exception:
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except Exception as e:
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retry_after = -1
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def _calculate_retry_after(
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remaining_retries: int,
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max_retries: int,
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response_headers: Optional[httpx.Headers] = None,
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min_timeout: int = 0,
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):
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retry_after = _get_retry_after_from_exception_header(response_headers)
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# If the API asks us to wait a certain amount of time (and it's a reasonable amount), just do what it says.
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if 0 < retry_after <= 60:
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return retry_after
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