Chatbot Project

This project is a chatbot application built using LangChain and LangGraph. It supports maintaining conversational history and multi-language responses using the OpenAI API. The chatbot can switch between conversation threads, apply different templates, and manage conversation history efficiently.

Features

• Conversational Memory: Maintains chat history and differentiates between user sessions.
• Multi-Language Support: The chatbot can respond in different languages based on user input.
• Custom Templates: Includes configurable templates for different chatbot personalities (e.g., pirate, assistant).
• State Management: Utilizes LangGraph's state and memory management for effective conversation handling.
• Message Trimming: Manages and trims conversation history to stay within token limits.
• Streaming Mode: Supports streaming responses for real-time interactions.

Tech Stack

• Programming Language: Python
• Frameworks/Libraries:
  • LangChain
  • LangGraph
• API: OpenAI API
• Tools: Google Colab, Jupyter Notebook

Setup

1. Clone the repository:

   git clone <repository-url>
    cd chat-bot

2. Setup environemnt variables:

• Set LANGCHAIN_TRACING_V2 to "true".
• Set LANGCHAIN_API_KEY and OPENAI_API_KEY (use getpass to input these securely).

3. Run the Notebook:

• Open the notebook in Google Colab or Jupyter Notebook.
• Follow the cells to interact with the chatbot.

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© Areeb Niyas