🤖 Multi-Tool Agentic ChatBot 🛠️

A fully agentic, multi-tool, state-based conversational AI application.
Modular, extensible, and built for rapid tool augmentation.

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Demo :- https://multi-tool-agentic-chatbot.onrender.com/

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🚀 Features

• Agentic Chatbot Core: Interactive chatbot harnessing LLMs and agentic workflows.
• Multi-Tool Support: Integrated tools for tasks like AI news summarization, Wikipedia lookup, PDF/Arxiv parsing, search, and more.
• Plug & Play Tools: Easily add new tools (code, search, summarization, etc.) via declarative architecture.
• Modern Stack: Utilizes LangChain, LangGraph, and a strong Python foundation.
• Web UI & API: Easily expose the chatbot for web or API usage.

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🗂️ Project Structure

Multi-Tool-Agentic-ChatBot/
│
├── app.py # Entrypoint to launch the chatbot app (CLI/server)
├── requirements.txt # Project dependencies
├── LICENSE
├── README.md
├── src/
│ └── langgraph/
│ ├── init.py
│ ├── main.py # Core app orchestration
│ ├── graph/ # Graph logic and flow definition
│ ├── nodes/ # Custom chat nodes (eg. tool routers, selectors, etc)
│ ├── state/ # State management for chat, tool use, etc
│ ├── llms/ # LLM connectors/wrappers
│ ├── tools/ # Individual tool integrations
│ └── ui/ # Web or streamlit UI logic (optional/expandable)
│
├── .vscode/ # VS Code workspace config

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🛠️ Installation

Requirements

• Python >= 3.10
• pip
• API keys (.env) for any enabled LLMs/tools (OpenAI, Groq, Tavily, SerpAPI, etc)

1. Clone the repository

git clone https://github.com/ArpitKadam/Multi-Tool-Agentic-ChatBot.git
cd Multi-Tool-Agentic-ChatBot

2. Install dependencies

pip install -r requirements.txt

3. Set up environment

Place your API keys in a .env file at the project root as required by your tools/LLMs.

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🧑‍💻 Usage

CLI

python app.py

By default, this runs the chat app main cycle using the agentic orchestration in src/langgraph/main.py.

Web UI

If the ui module uses Streamlit (recommended for local demo):

streamlit run app.py

For a full-featured API, adapt app.py to spin up FastAPI or similar if required.

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🔌 Extending & Customizing

• Add New Tools: Place tool code in src/langgraph/tools/, wire it into the node/graph logic.
• Custom Agents: Edit or build new nodes in src/langgraph/nodes/.
• Workflow: Modify src/langgraph/graph/ or main.py for custom chat/agentic flows.
• UI/Backend: Connect to Streamlit, FastAPI, or any relevant frontend in src/langgraph/ui/.

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🧰 Example Tools (from requirements.txt)

• Wikipedia Search
• DuckDuckGo or Google Search
• AI News Summarizer
• PDF/Arxiv parsing
• Faiss/Chroma vector search
• OpenAI, Groq, Ollama, Cohere, Nvidia endpoints
• Streamlit, Rich console, etc

(See requirements.txt and the tools/ folder for the full list)

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📄 License

This project is licensed under the Apache 2.0 License. See LICENSE.

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👤 Author

• Arpit Kadam (GitHub)

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Easily evolve your LLM chatbot with new tools and agentic reasoning… all in Python!