mirror of
https://github.com/getzep/graphiti.git
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9cc9883e66
* typing.Any and friends
* message
* chore: Import Message model in llm_client
* fix: 💄 mypy errors
* clean up mypy stuff
* mypy
* format
* mypy
* mypy
* mypy
---------
Co-authored-by: paulpaliychuk <pavlo.paliychuk.ca@gmail.com>
Co-authored-by: prestonrasmussen <prasmuss15@gmail.com>
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import json
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import logging
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import typing
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from openai import AsyncOpenAI
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from openai.types.chat import ChatCompletionMessageParam
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from ..prompts.models import Message
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from .client import LLMClient
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from .config import LLMConfig
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logger = logging.getLogger(__name__)
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class OpenAIClient(LLMClient):
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def __init__(self, config: LLMConfig):
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self.client = AsyncOpenAI(api_key=config.api_key, base_url=config.base_url)
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self.model = config.model
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def get_embedder(self) -> typing.Any:
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return self.client.embeddings
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async def generate_response(self, messages: list[Message]) -> dict[str, typing.Any]:
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openai_messages: list[ChatCompletionMessageParam] = []
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for m in messages:
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if m.role == 'user':
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openai_messages.append({'role': 'user', 'content': m.content})
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elif m.role == 'system':
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openai_messages.append({'role': 'system', 'content': m.content})
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try:
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response = await self.client.chat.completions.create(
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model=self.model,
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messages=openai_messages,
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temperature=0.1,
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max_tokens=3000,
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response_format={'type': 'json_object'},
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)
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result = response.choices[0].message.content or ''
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return json.loads(result)
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except Exception as e:
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logger.error(f'Error in generating LLM response: {e}')
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raise
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