58 lines
1.7 KiB
Python
58 lines
1.7 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 DeepSeekLLM(LLMBase):
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"""
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A class for interacting with DeepSeek's 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 DeepSeekLLM 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 = "deepseek-chat"
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api_key = self.config.api_key or os.getenv("DEEPSEEK_API_KEY")
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base_url = (
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self.config.deepseek_base_url
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or os.getenv("DEEPSEEK_API_BASE")
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or "https://api.deepseek.com"
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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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) -> str:
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"""
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Generates a response using DeepSeek 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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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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"max_tokens": self.config.max_tokens,
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"top_p": self.config.top_p,
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}
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response = self.client.chat.completions.create(**params)
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return response.choices[0].message.content
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