Setup Ai Tutor

Set Up the AI Tutor Locally

Run the following commands to set up and start the AI Tutor locally.

Input

None required. Run from the repository root.

Process

1. Create Environment File

cp .env.example .env

Creates your local environment configuration from the example template.

2. Install Dependencies

uv sync

Installs all Python packages defined in pyproject.toml.

3. Start Database

docker-compose up -d db

Starts PostgreSQL in a Docker container.

4. Run Database Migrations

uv run alembic upgrade head

Applies all pending database migrations.

5. Start Development Server

uv run uvicorn app.main:app --reload --port 8123

Starts the FastAPI server with hot-reload on port 8123.

6. Validate Setup

Check that everything is working:

# Test API health
curl -s http://localhost:8123/health

# Test database connection
curl -s http://localhost:8123/health/db

Both should return {"status":"healthy"} responses.

Output

A running local AI Tutor instance.

Access Points

• Swagger UI: http://localhost:8123/docs
• Health Check: http://localhost:8123/health
• Database: localhost (Docker container)

Cleanup

To stop services:

# Stop dev server: Ctrl+C
# Stop database: docker-compose down

Notes

• Port numbers and the exact docker-compose service name may differ — check docker-compose.yml,

.env.example, and the project README for project-specific values before running.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: coleam00
• Source: coleam00/skills
• License: MIT

Install and usage instructions live in the source repository linked above.