fsc-assistant 0.1.2

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FSC Assistant

Overview

The Fully Self-Coding (FSC) Assistant is a command-line tool designed to leverage Large Language Model's coding capability to help build software with ease.

Directory Structure

fsc-assistant/src/
├── fsc
│   ├── __init__.py
│   ├── __pycache__
│   ├── assistant_shell.py
│   ├── cli.py
│   ├── commands
│   ├── config.py
│   ├── llm
│   ├── tools
│   └── utils

Key Components

• assistant_shell.py: Core logic for the assistant's interaction.
• cli.py: Command-line interface implementation.
• commands/: Handling of specific commands and their execution.
• config.py: Configuration management for the system.
• llm/: Integration with LLM models (e.g., switching between models).
• tools/: Tools for image processing, real-time command execution, and more.
• utils/: Utility functions for prompt handling and other tasks.

Installation

1. pip installation

   pip install fsc-assistant

2. source installation

git clone [e-mail]:devsunny/fsc-assistant.git
pip install -e fsc-assistant

Usage Example

1. Start the Assistant:

   fsc --help
   fsc config set -g "llm.base_url" "<your_llm_api_base_url>"
   fsc config set -g "llm.api_key" "<your_llm_api_api_key>"
   fsc config set -g "llm.models" '["gpt-5", "claude.sonnet-4-5", "gpt-4o"]'
   fsc shell
   

   or

   python -m fsc.cli
   

Architecture Design

The system is designed with modularity in mind, allowing easy integration of new tools and models. Key design patterns include:

• Separation of concerns: Different modules handle specific tasks (e.g., commands vs. LLM).
• Extensibility: Adding new functions or models through the tools/ directory.
• Configurable settings: Using config.py to adjust system behavior.

Next Steps

Update this README to reflect any new features or changes in the codebase.