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91e58d9049
* add Proxy Level Tracking Metrics doc * update service logger * prometheus - track litellm_proxy_failed_requests_metric * use REQUESTED_MODEL * fix prom request_data
77 lines
1.9 KiB
Python
77 lines
1.9 KiB
Python
from typing import Literal, Optional
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import litellm
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.proxy.proxy_server import DualCache, UserAPIKeyAuth
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# This file includes the custom callbacks for LiteLLM Proxy
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# Once defined, these can be passed in proxy_config.yaml
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class MyCustomHandler(
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CustomLogger
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): # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
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# Class variables or attributes
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def __init__(self):
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pass
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#### CALL HOOKS - proxy only ####
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async def async_pre_call_hook(
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self,
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user_api_key_dict: UserAPIKeyAuth,
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cache: DualCache,
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data: dict,
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call_type: Literal[
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"completion",
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"text_completion",
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"embeddings",
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"image_generation",
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"moderation",
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"audio_transcription",
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"pass_through_endpoint",
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"rerank",
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],
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):
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return data
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async def async_post_call_failure_hook(
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self,
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request_data: dict,
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original_exception: Exception,
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user_api_key_dict: UserAPIKeyAuth,
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):
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pass
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async def async_post_call_success_hook(
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self,
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data: dict,
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user_api_key_dict: UserAPIKeyAuth,
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response,
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):
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# print("in async_post_call_success_hook")
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pass
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async def async_moderation_hook( # call made in parallel to llm api call
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self,
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data: dict,
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user_api_key_dict: UserAPIKeyAuth,
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call_type: Literal[
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"completion",
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"embeddings",
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"image_generation",
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"moderation",
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"audio_transcription",
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],
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):
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pass
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async def async_post_call_streaming_hook(
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self,
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user_api_key_dict: UserAPIKeyAuth,
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response: str,
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):
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# print("in async_post_call_streaming_hook")
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pass
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proxy_handler_instance = MyCustomHandler()
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