mantacoder 0.1.4

A Python library for Code Agent MantaCoder

MantaCoder

MantaCoder is an intelligent code agent system that self-evolves. Like its namesake, the MantaCoder Ray, it gracefully navigates through code tasks with intelligence and efficiency.

Features

• Self-Evolution: Learns and adapts from interactions
• Intelligent Processing: Smart command classification and execution
• Context Awareness: Maintains session history for better understanding
• Tool System: Extensible framework for custom capabilities

Installation

# Clone the repository
git clone https://github.com/yourusername/mantacoder.git
cd mantacoder

# Install
pip install -e .

Usage

Basic Startup

MantaCoder --api-key YOUR_API_KEY --base-url YOUR_BASE_URL --model MODEL_NAME

Tool Commands

MantaCoder provides several powerful tools that can be accessed through natural language commands:

Command Execution

Execute system commands directly:

"Please run ls in the current directory"
-> MantaCoder will use: <execute_command> <command>ls</command> </execute_command>

File Operations

Reading Files:

"Show me the contents of config.json"
-> MantaCoder will use: <read_file> <path>config.json</path> </read_file>

Writing Files:

"Create a new Python script called hello.py"
-> MantaCoder will use:
<write_to_file>
<path>hello.py</path>
<content>
print("Hello, World!")
</content>
</write_to_file>

Updating Files:

"Update the React import to include useState"
-> MantaCoder will use:
<replace_in_file>
<path>component.jsx</path>
<diff>
<<<<<<< SEARCH
import React from 'react';
=======
import React, { useState } from 'react';
>>>>>>> REPLACE
</diff>
</replace_in_file>

Special Commands

History Review

To see the conversation history:

history

This will display all previous messages in the current session, including system messages, user inputs, and assistant responses.

File Context

To add a file to the conversation context:

@path/to/file.txt

This makes the file content available to MantaCoder for reference in subsequent interactions.

Example Interactions

Here are some common ways to interact with MantaCoder:

1. Create a new project:

   "Create a new React component for a login form"
   

2. Modify existing code:

   "Add input validation to the login form component"
   

3. Fix issues:

   "Debug the authentication flow in auth.js"
   

4. Get explanations:

   "Explain how the routing system works in this project"
   

Testing

To run the test suite, use pytest. Ensure that all dependencies are installed (including development dependencies).

# Use pytest to run the tests
pytest tests/

Architecture

mantacoder/
├── mantacoder/
    ├── core/         # Core agent functionality
    ├── llm/          # Language model integration
    ├── session/      # Session management
    ├── tools/        # Extensible tools
    └── prompts/      # System prompts

Examples

The examples/ directory contains practical demonstrations of using MantaCoder for various project types:

examples/
├── snakegame/         # Creating a snakegame web applications with MantaCoder
├── minegame/          # Creating a minesweeper web applications with MantaCoder

These examples serve as both documentation and starting points for your own projects. They demonstrate real-world applications of MantaCoder's features and can be used as templates for similar implementations.

Contributing

We welcome contributions! Please fork the repository and submit a pull request.

License

MIT License

Contact

• GitHub: hengjiUSTC