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Demo for a webinar on "Scaling AI Beyond Single Agents - Multi-Agent Architectures with LangChain"

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Deep Agent + Skills App

A planning-first agent using Deep Agents with Skills on Azure OpenAI, with jupyter notebook and a Streamlit web UI.


Setup

  1. Create and activate a virtual environment:
python -m venv venv
venv\Scripts\activate          # Windows
# source venv/bin/activate     # macOS/Linux
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure .env with your Azure OpenAI and Tavily API keys.

Run the Notebook

jupyter notebook demo.ipynb

Or open demo.ipynb in Jupyter Lab or VS Code.


Run the Streamlit App

streamlit run app.py

Project Structure

multi_agent_skills_app/
├── app.py              # Streamlit chat UI
├── agent.py            # Deep Agent with skills
├── tools.py            # Custom tools
├── demo.ipynb          # Demo notebook
├── skills/             # Skill definitions (SKILL.md)
└── requirements.txt

About

Demo for a webinar on "Scaling AI Beyond Single Agents - Multi-Agent Architectures with LangChain"

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