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90 lines
No EOL
3.9 KiB
Python
90 lines
No EOL
3.9 KiB
Python
from typing import Optional
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import litellm
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from litellm.caching import DualCache
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.integrations.custom_logger import CustomLogger
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from fastapi import HTTPException
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class MaxParallelRequestsHandler(CustomLogger):
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user_api_key_cache = None
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# Class variables or attributes
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def __init__(self):
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pass
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def print_verbose(self, print_statement):
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if litellm.set_verbose is True:
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print(print_statement) # noqa
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async def async_pre_call_hook(self, user_api_key_dict: UserAPIKeyAuth, cache: DualCache, data: dict, call_type: str):
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self.print_verbose(f"Inside Max Parallel Request Pre-Call Hook")
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api_key = user_api_key_dict.api_key
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max_parallel_requests = user_api_key_dict.max_parallel_requests
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if api_key is None:
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return
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if max_parallel_requests is None:
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return
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self.user_api_key_cache = cache # save the api key cache for updating the value
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# CHECK IF REQUEST ALLOWED
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request_count_api_key = f"{api_key}_request_count"
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current = cache.get_cache(key=request_count_api_key)
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self.print_verbose(f"current: {current}")
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if current is None:
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cache.set_cache(request_count_api_key, 1)
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elif int(current) < max_parallel_requests:
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# Increase count for this token
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cache.set_cache(request_count_api_key, int(current) + 1)
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else:
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raise HTTPException(status_code=429, detail="Max parallel request limit reached.")
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async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.print_verbose(f"INSIDE ASYNC SUCCESS LOGGING")
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user_api_key = kwargs["litellm_params"]["metadata"]["user_api_key"]
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if user_api_key is None:
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return
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if self.user_api_key_cache is None:
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return
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request_count_api_key = f"{user_api_key}_request_count"
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# check if it has collected an entire stream response
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self.print_verbose(f"'complete_streaming_response' is in kwargs: {'complete_streaming_response' in kwargs}")
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if "complete_streaming_response" in kwargs or kwargs["stream"] != True:
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# Decrease count for this token
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current = self.user_api_key_cache.get_cache(key=request_count_api_key) or 1
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new_val = current - 1
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self.print_verbose(f"updated_value in success call: {new_val}")
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self.user_api_key_cache.set_cache(request_count_api_key, new_val)
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except Exception as e:
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self.print_verbose(e) # noqa
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async def async_log_failure_call(self, user_api_key_dict: UserAPIKeyAuth, original_exception: Exception):
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try:
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self.print_verbose(f"Inside Max Parallel Request Failure Hook")
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api_key = user_api_key_dict.api_key
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if api_key is None:
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return
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if self.user_api_key_cache is None:
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return
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## decrement call count if call failed
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if (hasattr(original_exception, "status_code")
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and original_exception.status_code == 429
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and "Max parallel request limit reached" in str(original_exception)):
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pass # ignore failed calls due to max limit being reached
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else:
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request_count_api_key = f"{api_key}_request_count"
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# Decrease count for this token
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current = self.user_api_key_cache.get_cache(key=request_count_api_key) or 1
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new_val = current - 1
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self.print_verbose(f"updated_value in failure call: {new_val}")
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self.user_api_key_cache.set_cache(request_count_api_key, new_val)
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except Exception as e:
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self.print_verbose(f"An exception occurred - {str(e)}") # noqa |