63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
import json
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import os
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from typing import Dict, List, Optional
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from openai import OpenAI
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from mem0.configs.llms.base import BaseLlmConfig
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from mem0.llms.base import LLMBase
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class OpenAIStructuredLLM(LLMBase):
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"""
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A class for interacting with OpenAI's structured language models using the specified configuration.
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"""
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def __init__(self, config: Optional[BaseLlmConfig] = None):
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"""
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Initializes the OpenAIStructuredLLM instance with the given configuration.
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Args:
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config (Optional[BaseLlmConfig]): Configuration settings for the language model.
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"""
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super().__init__(config)
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if not self.config.model:
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self.config.model = "gpt-4o-2024-08-06"
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api_key = self.config.api_key or os.getenv("OPENAI_API_KEY")
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base_url = (
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self.config.openai_base_url
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or os.getenv("OPENAI_API_BASE")
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or "https://api.openai.com/v1"
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)
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self.client = OpenAI(api_key=api_key, base_url=base_url)
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def generate_response(
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self,
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messages: List[Dict[str, str]],
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response_format: Optional[str] = None,
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) -> str:
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"""
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Generates a response using OpenAI based on the provided messages.
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Args:
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messages (List[Dict[str, str]]): A list of dictionaries, each containing a 'role' and 'content' key.
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response_format (Optional[str]): The desired format of the response. Defaults to None.
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Returns:
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str: The generated response from the model.
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"""
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params = {
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"model": self.config.model,
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"messages": messages,
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"temperature": self.config.temperature,
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}
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if response_format:
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params["response_format"] = response_format
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response = self.client.beta.chat.completions.parse(**params)
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return response.choices[0].message.content
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