Skip to main content

An opinionated dev agent who tackles tech debt

Project description

PyPI Downloads

Ambrogio - tech debt agent

Ambrogio is an intelligent dev agent that helps tackle technical debt in your codebase. Starting with docstring improvements, it systematically enhances code quality and maintainability through automated analysis and improvements.

🎯 Mission

Our mission is to help development teams maintain high-quality codebases by automatically identifying and addressing technical debt, starting with comprehensive and accurate docstrings. Ambrogio uses advanced language models to understand your code and generate meaningful documentation.

✨ Features

Current Features

  • Smart Docstring Generation: Automatically adds clear, comprehensive docstrings to classes and methods
  • Multi-Provider Support: Works with various LLM providers through LiteLLM integration
  • Unit Test Generation (Beta): Analyzes code coverage and generates missing unit tests

🚀 Upcoming Features

  • Pre-PR test runs to prevent regressions
  • Improve existing docstrings in modified methods
  • Documentation generation for easier understanding
  • Type safety refactoring
  • Spaghetti code cleanup
  • Code formatting and best practices enforcement

📦 Installation

pip install ambrogio

🚀 Usage

Basic Usage

# Run docstring generation with default settings (uses OPENAI_API_KEY from environment)
ambrogio

# Run with custom configuration
ambrogio \
  --path /path/to/your/project \
  --api-key your-api-key \
  --model gpt-4 \
  --max-api-calls 20

# Run unit test generation (Beta)
ambrogio \
  --mode coverage \
  --max-iterations 5

⚠️ Note: The unit test generation feature is currently in beta. It must be run within your virtual environment. You need pytest installed.

Advanced Usage

# Use Azure OpenAI
ambrogio \
  --api-key your-azure-key \
  --api-base https://your-azure-deployment.openai.azure.com \
  --model gpt-4

# Use Anthropic's Claude
ambrogio \
  --api-key your-anthropic-key \
  --model claude-2

Available Options

Common Options:
--path           Path to the Python project (default: current directory)
--api-key        API key for your LLM provider (default: OPENAI_API_KEY from env)
--model          Model to use (default: gpt-4o-mini)
--api-base       Base URL for API endpoint (required for Azure, optional for others)
--mode           Mode to run in ('docstring' or 'coverage'). Default: docstring

Docstring Mode Options:
--max-api-calls  Maximum number of API calls per run (default: 12)

Coverage Mode Options:
--max-iterations Maximum number of test generation attempts per file (default: 3)

Environment Variables

  • OPENAI_API_KEY: Default API key if not provided via command line

🔧 Supported LLM Providers

Ambrogio uses LiteLLM for multi-provider support. You can use any of these providers:

  • OpenAI (GPT-3.5, GPT-4)
  • Azure OpenAI
  • Anthropic (Claude)
  • And many more! Check LiteLLM's documentation for the full list

🤝 Contributing

Contributions are welcome! Feel free to:

  • Report bugs
  • Suggest new features
  • Submit pull requests

📝 License

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.

Maintainers

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ambrogio-0.1.9.tar.gz (31.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ambrogio-0.1.9-py3-none-any.whl (36.7 kB view details)

Uploaded Python 3

File details

Details for the file ambrogio-0.1.9.tar.gz.

File metadata

  • Download URL: ambrogio-0.1.9.tar.gz
  • Upload date:
  • Size: 31.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.13.1 Darwin/23.3.0

File hashes

Hashes for ambrogio-0.1.9.tar.gz
Algorithm Hash digest
SHA256 271e54443fe517b511bc560a219005369213ce1ff643b012210d893734445a89
MD5 eff4c2c90cf4ed4b1e9df671625f8ae7
BLAKE2b-256 1aa15f9df5e5b2066442c3f5e4ccdce86342800225538764da680f4542ddfe69

See more details on using hashes here.

File details

Details for the file ambrogio-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: ambrogio-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 36.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.13.1 Darwin/23.3.0

File hashes

Hashes for ambrogio-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 168400d8bab13bd9bd58df8a62514205d747dcd893eb53e8f679c17474c10710
MD5 ca06517ffd2a6ff44d4e7c801a9dfca3
BLAKE2b-256 a437d036b9a9d6e3caa9517ab598db3d188f7a44674a55177ed02e3dfef3957e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page