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AI-powered database performance optimisation agent

Project description

db-optimiser-agent

An AI-powered database performance agent. Connect it to a PostgreSQL or MySQL database and it analyses schemas, slow queries, and index health — then delivers ranked, actionable recommendations with copy-paste SQL to fix them.

Quick start

# 1. Clone and enter the project
git clone <your-repo>
cd db-optimiser-agent

# 2. Create a virtual environment
python3.11 -m venv .venv
source .venv/bin/activate        # Windows: .venv\Scripts\activate

# 3. Install the package in editable mode
pip install -e ".[dev]"

# 4. Set up your environment
cp .env.example .env
# Edit .env with your Anthropic API key and database credentials

# 5. Run your first analysis
db-optimiser analyse

Project structure

db-optimiser-agent/
├── src/db_optimiser_agent/
│   ├── prompts/          # System prompt (the agent's brain)
│   ├── adapters/         # PostgreSQL + MySQL connection adapters  [Phase 1 Step 3]
│   ├── tools/            # Schema analyser, slow query finder, etc [Phase 2]
│   ├── config.py         # Environment-based configuration
│   └── cli.py            # Typer CLI entry point                   [Phase 1 Step 2]
├── tests/
├── scripts/              # Docker, seed scripts
├── .env.example
└── pyproject.toml

Environment variables

Variable Required Default Description
ANTHROPIC_API_KEY Yes Your Anthropic API key
DB_TYPE No postgresql postgresql or mysql
DB_HOST No localhost Database host
DB_PORT No 5432 Database port
DB_NAME Yes Database name
DB_USER Yes Database user
DB_PASSWORD Yes Database password
DB_SCHEMA No public PostgreSQL schema

Development

# Run tests
pytest

# Lint
ruff check src/

# Type check
mypy src/

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