llm_client.py

import os
from openai import OpenAI

class LLMClient:
    def __init__(self, provider: str = "openai", model: str = "gpt-4o-mini"):
        self.provider = provider
        self.model = model
        self.client = self._initialize_client()

    def _initialize_client(self):
        if self.provider == "openai":
            return OpenAI()
        elif self.provider == "gemini":
            return OpenAI(
                api_key=os.getenv("GEMINI_API_KEY"),
                base_url="https://generativelanguage.googleapis.com/v1beta/openai/"
            )
        elif self.provider == "deepseek":
            return OpenAI(
                api_key=os.getenv("DEEPSEEK_API_KEY"),
                base_url="https://api.deepseek.com/v1"
            )
        # Add other providers here later
        else:
            raise ValueError(f"Unsupported LLM provider: {self.provider}")

    def chat_completion(self, messages: list):
        if self.provider == "openai" or self.provider == "gemini" or self.provider == "deepseek":
            return self.client.chat.completions.create(
                model=self.model,
                messages=messages
            )
        # Add other providers' chat completion logic here later
        else:
            raise ValueError(f"Unsupported LLM provider: {self.provider}")