Personal Agentic AI Chatbot

A powerful, customizable AI chatbot with web search capabilities, built using LangGraph, LangChain, and multiple LLM providers.

Overview

This project implements an agentic AI chatbot that can:

• Use different language models from Groq and OpenAI
• Perform web searches to provide up-to-date information
• Be customized with different system prompts
• Run as a web application with a Streamlit frontend and FastAPI backend

Features

• Multiple LLM Support: Choose between Groq models (llama-3.3-70b-versatile, mixtral-8x7b-32768) and OpenAI models (gpt-4o-mini)
• Web Search Integration: Enable web search capabilities using Tavily Search
• Customizable System Prompts: Define your AI agent's personality and capabilities
• Modern Web Interface: Easy-to-use Streamlit frontend
• Robust Backend: FastAPI server with Pydantic validation

Architecture

The project consists of three main components:

1. AI Agent (ai_agent.py): Implements the LangGraph agent with LLM integration and search tools
2. Frontend (frontend.py): Streamlit-based user interface for interacting with the AI agent
3. Backend (backend.py): FastAPI server that processes requests from the frontend and communicates with the AI agent

Installation

1. Clone the repository:

git clone https://github.com/MdTanwer/Personal-Agentic-AI-Chatbot.git
cd Personal-Agentic-AI-Chatbot

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables: Create a .env file with your API keys:

GROQ_API_KEY=your_groq_api_key
TAVILY_API_KEY=your_tavily_api_key
OPENAI_API_KEY=your_openai_api_key

Usage

1. Start the backend server:

python backend.py

2. In a separate terminal, start the frontend:

streamlit run frontend.py

3. Open your browser and navigate to http://localhost:8501

4. Configure your AI agent:

   • Select a model provider (Groq or OpenAI)
   • Choose a specific model
   • Define a system prompt
   • Enable/disable web search
   • Enter your query and click "Ask Agent!"

Requirements

See requirements.txt for a complete list of dependencies. Key requirements include:

• langchain
• langgraph
• streamlit
• fastapi
• openai
• groq

License

This project is licensed under the terms included in the LICENSE file.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.