34496ffa6a
* move null check for search queries to python * update search filtering * update * update
139 lines
4.7 KiB
Python
139 lines
4.7 KiB
Python
"""
|
|
Copyright 2024, Zep Software, Inc.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
"""
|
|
|
|
import hashlib
|
|
import json
|
|
import logging
|
|
import typing
|
|
from abc import ABC, abstractmethod
|
|
|
|
import httpx
|
|
from diskcache import Cache
|
|
from pydantic import BaseModel
|
|
from tenacity import retry, retry_if_exception, stop_after_attempt, wait_random_exponential
|
|
|
|
from ..prompts.models import Message
|
|
from .config import LLMConfig
|
|
from .errors import RateLimitError
|
|
|
|
DEFAULT_TEMPERATURE = 0
|
|
DEFAULT_CACHE_DIR = './llm_cache'
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def is_server_or_retry_error(exception):
|
|
if isinstance(exception, (RateLimitError, json.decoder.JSONDecodeError)):
|
|
return True
|
|
|
|
return (
|
|
isinstance(exception, httpx.HTTPStatusError) and 500 <= exception.response.status_code < 600
|
|
)
|
|
|
|
|
|
class LLMClient(ABC):
|
|
def __init__(self, config: LLMConfig | None, cache: bool = False):
|
|
if config is None:
|
|
config = LLMConfig()
|
|
|
|
self.config = config
|
|
self.model = config.model
|
|
self.temperature = config.temperature
|
|
self.max_tokens = config.max_tokens
|
|
self.cache_enabled = cache
|
|
self.cache_dir = Cache(DEFAULT_CACHE_DIR) # Create a cache directory
|
|
|
|
def _clean_input(self, input: str) -> str:
|
|
"""Clean input string of invalid unicode and control characters.
|
|
|
|
Args:
|
|
input: Raw input string to be cleaned
|
|
|
|
Returns:
|
|
Cleaned string safe for LLM processing
|
|
"""
|
|
# Clean any invalid Unicode
|
|
cleaned = input.encode('utf-8', errors='ignore').decode('utf-8')
|
|
|
|
# Remove zero-width characters and other invisible unicode
|
|
zero_width = '\u200b\u200c\u200d\ufeff\u2060'
|
|
for char in zero_width:
|
|
cleaned = cleaned.replace(char, '')
|
|
|
|
# Remove control characters except newlines, returns, and tabs
|
|
cleaned = ''.join(char for char in cleaned if ord(char) >= 32 or char in '\n\r\t')
|
|
|
|
return cleaned
|
|
|
|
@retry(
|
|
stop=stop_after_attempt(4),
|
|
wait=wait_random_exponential(multiplier=10, min=5, max=120),
|
|
retry=retry_if_exception(is_server_or_retry_error),
|
|
after=lambda retry_state: logger.warning(
|
|
f'Retrying {retry_state.fn.__name__ if retry_state.fn else "function"} after {retry_state.attempt_number} attempts...'
|
|
)
|
|
if retry_state.attempt_number > 1
|
|
else None,
|
|
reraise=True,
|
|
)
|
|
async def _generate_response_with_retry(
|
|
self, messages: list[Message], response_model: type[BaseModel] | None = None
|
|
) -> dict[str, typing.Any]:
|
|
try:
|
|
return await self._generate_response(messages, response_model)
|
|
except (httpx.HTTPStatusError, RateLimitError) as e:
|
|
raise e
|
|
|
|
@abstractmethod
|
|
async def _generate_response(
|
|
self, messages: list[Message], response_model: type[BaseModel] | None = None
|
|
) -> dict[str, typing.Any]:
|
|
pass
|
|
|
|
def _get_cache_key(self, messages: list[Message]) -> str:
|
|
# Create a unique cache key based on the messages and model
|
|
message_str = json.dumps([m.model_dump() for m in messages], sort_keys=True)
|
|
key_str = f'{self.model}:{message_str}'
|
|
return hashlib.md5(key_str.encode()).hexdigest()
|
|
|
|
async def generate_response(
|
|
self, messages: list[Message], response_model: type[BaseModel] | None = None
|
|
) -> dict[str, typing.Any]:
|
|
if response_model is not None:
|
|
serialized_model = json.dumps(response_model.model_json_schema())
|
|
messages[
|
|
-1
|
|
].content += (
|
|
f'\n\nRespond with a JSON object in the following format:\n\n{serialized_model}'
|
|
)
|
|
|
|
if self.cache_enabled:
|
|
cache_key = self._get_cache_key(messages)
|
|
|
|
cached_response = self.cache_dir.get(cache_key)
|
|
if cached_response is not None:
|
|
logger.debug(f'Cache hit for {cache_key}')
|
|
return cached_response
|
|
|
|
for message in messages:
|
|
message.content = self._clean_input(message.content)
|
|
|
|
response = await self._generate_response_with_retry(messages, response_model)
|
|
|
|
if self.cache_enabled:
|
|
self.cache_dir.set(cache_key, response)
|
|
|
|
return response
|