Integrating Gemini AI API with LangChain AI agents allows you to create a more dynamic and intelligent data science pipeline. Below is an example of how to accomplish this: --- Steps to Integrate Gemini AI with LangChain 1. Set Up Gemini API: Use the Gemini AI API for specific tasks like preprocessing, training, and evaluating. 2. Define Tools: Use LangChain's Tool class to wrap Gemini API functions. 3. Create a LangChain Agent: The agent orchestrates the tools and interacts with the Gemini API. --- Python Code Prerequisites Install the required libraries: pip install langchain openai requests pandas Code import requests import pandas as pd from langchain.agents import initialize_agent, Tool from langchain.llms import OpenAI # Set your Gemini API key and endpoint API_KEY = "your_gemini_api_key" BASE_URL = "https://api.gemini.ai/v1" # Replace with actual Gemini API base URL # Define helper functions for the Gemini AI API def preprocess_data_gemini(da...