Healing Agent is an intelligent code assistant that automatically detects and fixes errors in your Python code. It leverages the power of AI to provide smart suggestions and corrections, helping you write more robust and error-free code.
Goal: first autonomous actually usable coding agent in production (after Cursor AI)?
- 🚨 Automatic error detection and handling of diverse exception types
- 💡 Smart error analysis and solution suggestions
- 🔍 Comprehensive error analysis including exception details, stack traces, variables and root cause identification
- 🧠 Advanced AI-powered code healing using LLMs of different providers
- 🔧 Zero-config integration with Python projects
- 💾 Robust error tracking and debugging:
- Exception context saved to JSON (code, error details, function info and args)
- Automatic code backups before fixes
- Detailed analysis results and fix history
- Quick test of fixes
- 🤖 Fully automated operation with minimal human intervention
graph TD
A[Import healing_agent] --> B[Configuration: AI access etc.]
B --> C[Decorate functions with healing_agent]
C --> D[Run Code / Execute Functions]
D --> E{Exception?}
E -->|Yes| F[Get and Save Detailed Context]
F --> G[Auto-generate Fixing hints and Code with AI]
G --> H[Test Generated Code]
H --> I[Create backup - Optional]
I --> J[Apply Code Fixes]
J --> D
E -->|No| M{Execution Complete?}
M -->|No| D
M -->|Yes| L[End]
To install Healing Agent, follow these steps:
PIP package from GitHub:
pip install git+https://github.com/matebenyovszky/healing-agent
OR from source:
-
Clone the repository:
git clone https://github.com/matebenyovszky/healing-agent.git
-
Navigate to the project directory:
cd healing-agent
-
Install:
pip install -e .
OR run overall test to install and test functionality:
python scripts/overall_test.py
To use Healing Agent in your project, follow these steps:
-
Import the
healing_agent
decorator in your Python file:import healing_agent
-
Decorate the function you want to monitor with
@healing_agent
:@healing_agent def your_function(): # Your code here
You can also pass parameters to the decorator to change the behavior set in the config file:
@healing_agent(AUTO_FIX=False) def your_function(): # Your code here
-
Run your Python script as usual. Healing Agent will automatically detect and attempt to fix any errors that occur within the decorated function.
Healing Agent is designed to be highly customizable. It leverages healing_agent_config.py
to define the AI provider and its corresponding API keys. Upon initialization, Healing Agent automatically attempts to load the configuration from healing_agent_config.py
. If this file does not exist, it defaults to the pre-defined configuration. Additionally, if healing_agent_config.py
is missing, Healing Agent automatically creates configuration in the default user directory, ensuring a seamless setup process.
You have to configure AI provider and API keys. It supports OpenAI, Azure OpenAI and LiteLLM, Anthropic, and Ollama - however I have only tested Azure OpenAI yet.
To test Healing Agent, you can use the scripts/test_file_generator.py
script to generate test files in the tests
directory. overall_test.py
will run all tests and provide a report on the functionality of Healing Agent.
- Development: Use Healing Agent during development to catch and fix errors early, and let AI generate fixes for your code. This is what you would do anyways, but now it's automated. 😁
- Educational Tool: Use Healing Agent as a learning tool to understand AI coding capabilities and limitations.
Healing Agent is distributed under the MIT License. See LICENSE
for more information.