src/llm_agent/llm_Gemini.py

from google import genai
#import google.generativeai as genai
#from google.genai import types
import os
from dotenv import load_dotenv

load_dotenv()

# Configure the Gemini API with your API key
genai.configure(api_key=os.getenv("AIzaSyBbHJpOMJqbI9IKg9ZxdVNUgjg34SvaVrs"))

def load_llm():
    async def llm(prompt: str) -> str:
        try:
            # Initialize the Gemini model
            model = genai.GenerativeModel('gemini-2.5-flash')  # or 'gemini-1.5-pro'
            
            # Generate content
            response = await model.generate_content_async(
                prompt,
                generation_config=genai.types.GenerationConfig(
                    temperature=0.2,
                )
            )
            
            return response.text.strip()
        except Exception as e:
            return f"LLM error: {str(e)}"
    return llm