fc4bf3bde2
* implement retry * chore: Refactor tenacity retry logic and improve LLMClient error handling * poetry * remove unnecessary try
96 lines
3.1 KiB
Python
96 lines
3.1 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import hashlib
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import json
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import logging
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import typing
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from abc import ABC, abstractmethod
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import httpx
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from diskcache import Cache
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from tenacity import retry, retry_if_exception, stop_after_attempt, wait_exponential
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from ..prompts.models import Message
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from .config import LLMConfig
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DEFAULT_TEMPERATURE = 0
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DEFAULT_CACHE_DIR = './llm_cache'
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logger = logging.getLogger(__name__)
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def is_server_error(exception):
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return (
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isinstance(exception, httpx.HTTPStatusError) and 500 <= exception.response.status_code < 600
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)
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class LLMClient(ABC):
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def __init__(self, config: LLMConfig | None, cache: bool = False):
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if config is None:
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config = LLMConfig()
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self.config = config
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self.model = config.model
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self.temperature = config.temperature
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self.max_tokens = config.max_tokens
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self.cache_enabled = cache
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self.cache_dir = Cache(DEFAULT_CACHE_DIR) # Create a cache directory
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@abstractmethod
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def get_embedder(self) -> typing.Any:
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pass
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@retry(
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stop=stop_after_attempt(3),
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wait=wait_exponential(multiplier=1, min=4, max=10),
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retry=retry_if_exception(is_server_error),
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)
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async def _generate_response_with_retry(self, messages: list[Message]) -> dict[str, typing.Any]:
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try:
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return await self._generate_response(messages)
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except httpx.HTTPStatusError as e:
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if not is_server_error(e):
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raise Exception(f'LLM request error: {e}') from e
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else:
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raise
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@abstractmethod
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async def _generate_response(self, messages: list[Message]) -> dict[str, typing.Any]:
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pass
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def _get_cache_key(self, messages: list[Message]) -> str:
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# Create a unique cache key based on the messages and model
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message_str = json.dumps([m.model_dump() for m in messages], sort_keys=True)
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key_str = f'{self.model}:{message_str}'
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return hashlib.md5(key_str.encode()).hexdigest()
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async def generate_response(self, messages: list[Message]) -> dict[str, typing.Any]:
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if self.cache_enabled:
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cache_key = self._get_cache_key(messages)
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cached_response = self.cache_dir.get(cache_key)
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if cached_response is not None:
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logger.debug(f'Cache hit for {cache_key}')
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return cached_response
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response = await self._generate_response_with_retry(messages)
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if self.cache_enabled:
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self.cache_dir.set(cache_key, response)
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return response
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