Home/Agentic AI/Capstone: Build Your Agent/Project Setup

Capstone: Build Your Agent

Build your own sophisticated AI agent from scratch as a capstone project

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Setting Up Your Development Environment

Before writing code, you need to choose your tech stack and set up your development environment properly. The right setup will save you hours of debugging later.

Interactive: Choose Your Tech Stack

Select a stack based on your experience level and project requirements:

LangChain + OpenAI
Beginner-Friendly • ~30 min
Pros
  • ✓Rich ecosystem
  • ✓Great docs
  • ✓Many examples
Cons
  • ⚠Abstraction overhead
  • ⚠Fast-changing API
Required Packages
pip install langchain openai langchain-openai faiss-cpu

Interactive: Step-by-Step Setup Guide

Follow these 4 steps to initialize your project. Click each step to see commands:

1
Initialize Project
$ mkdir my-agent-project && cd my-agent-project
$ python -m venv venv
$ source venv/bin/activate # Windows: venv\Scripts\activate
$ pip install --upgrade pip
💡 Create isolated Python environment to avoid dependency conflicts

Essential Project Files

Your project should have this structure:

my-agent-project/
├── .env # API keys (DO NOT COMMIT)
├── .gitignore # Ignore .env, venv/
├── requirements.txt # Dependencies
├── README.md # Project documentation
├── src/
│ ├── agent/
│ │ ├── __init__.py
│ │ └── core.py # Main agent logic
│ ├── tools/
│ │ ├── __init__.py
│ │ └── custom_tools.py
│ └── main.py # Entry point
└── tests/
├── __init__.py
└── test_agent.py # Unit tests
⚠️
Common Setup Mistakes to Avoid
  • •Committing .env: Always add .env to .gitignore before first commit
  • •Global Python install: Use virtual environments to avoid version conflicts
  • •Outdated packages: Run pip install --upgrade regularly to get bug fixes
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