Langchain Chatbot

A minimal LangChain-based chatbot project scaffolded for local development and experimentation.

Contents

• Files of interest
• Requirements & environment
• Quick start
• Usage
• Project structure
• Troubleshooting

Files of interest

• Main app entry: app.py
• Python dependencies: requirements.txt
• Local environment variables: .env
• Virtualenv (if present): env/ folder

Requirements & environment

1. Python 3.10+ is required.

2. (Recommended) Use the included virtual environment at env/ or create a new one:

   python -m venv .venv
   source .venv/bin/activate   # macOS / Linux
   .venv\Scripts\activate      # Windows (PowerShell)

3. Install dependencies:

   pip install -r requirements.txt

4. Copy or create a .env file at the project root and add any required API keys or configuration values. Example keys this project commonly uses:

   • LANGCHAIN_API_KEY
   • GROQ_API_KEY

Quick start

1. Activate your virtual environment.

2. Ensure dependencies are installed: pip install -r requirements.txt.

3. Start the app:

   streamlit run  app.py

4. Open the app according to the behavior implemented in app.py (CLI, HTTP server, or other).

Usage

• Inspect app.py to see how the chatbot is wired (model selection, prompt templates, and runtime options).
• Configure environment-specific settings in .env or your shell environment.
• If you use the included env/ virtual environment, activate it before running commands.

Project structure

Top-level files and directories:

• app.py — application entrypoint
• requirements.txt — dependency list
• .env — environment variables (git-ignored)
• env/ — optional virtual environment (git-ignored)

Third-party libraries used by this project are installed into the virtual environment; notable packages visible in the workspace include langchain-core, langsmith, and provider integrations (see requirements.txt).

Troubleshooting

• Missing package errors: run pip install -r requirements.txt inside an activated virtual environment.
• Virtual environment activation issues: ensure Python version matches project requirements (3.10+).
• If API calls fail, verify keys in .env and check provider dashboards for usage or permissions.