wyn360-cli 0.2.7

WYN360 - An intelligent AI coding assistant CLI tool powered by Anthropic Claude

WYN360 CLI

An intelligent AI coding assistant CLI tool powered by Anthropic Claude.

🎯 Overview

WYN360 CLI is an AI-powered coding assistant that helps you build projects, generate code, and improve your codebase through natural language conversations. Built with pydantic-ai and Anthropic Claude, it provides intelligent file operations, command execution, and context-aware assistance.

🏗️ System Architecture

graph TB
    subgraph "User Interface Layer"
        CLI[CLI Interface<br/>click + prompt-toolkit]
        Input[User Input<br/>Multi-line support]
        Output[Rich Console Output<br/>Markdown rendering]
    end

    subgraph "Agent Layer"
        Agent[WYN360Agent<br/>pydantic-ai]
        Model[Anthropic Claude<br/>claude-sonnet-4]
        Prompt[System Prompt<br/>Intent recognition]
    end

    subgraph "Tool Layer"
        ReadFile[read_file<br/>Read file contents]
        WriteFile[write_file<br/>Create/update files]
        ListFiles[list_files<br/>Scan directory]
        ProjectInfo[get_project_info<br/>Project summary]
        ExecCmd[execute_command<br/>Run shell commands]
    end

    subgraph "Utility Layer"
        FileOps[File Operations<br/>Safe read/write]
        Scanner[Directory Scanner<br/>Categorize files]
        CmdExec[Command Executor<br/>subprocess + timeout]
        CodeExt[Code Extractor<br/>Parse markdown blocks]
    end

    Input --> CLI
    CLI --> Agent
    Agent --> Model
    Agent --> Prompt

    Agent --> ReadFile
    Agent --> WriteFile
    Agent --> ListFiles
    Agent --> ProjectInfo
    Agent --> ExecCmd

    ReadFile --> FileOps
    WriteFile --> FileOps
    ListFiles --> Scanner
    ProjectInfo --> Scanner
    ExecCmd --> CmdExec

    Model --> Output
    CLI --> Output

    style Agent fill:#e1f5ff
    style Model fill:#fff3e0
    style CLI fill:#f3e5f5
    style ExecCmd fill:#ffebee

📦 Installation

pip install wyn360-cli

🚀 Quick Start

1. Set up your Anthropic API key (choose one method):

Option 1: Environment variable

export ANTHROPIC_API_KEY=your_key_here

Option 2: .env file (recommended for local development)

# Create a .env file in your project directory
echo "ANTHROPIC_API_KEY=your_key_here" > .env

Option 3: Command-line argument

wyn360 --api-key your_key_here

2. Run the CLI:

wyn360

3. Start chatting:

You: Build a Streamlit app for data visualization

WYN360: I'll create a Streamlit app for you...
[Generates complete code and saves to app.py]

✨ Features

Core Capabilities

• 🤖 Interactive AI Assistant - Natural language conversations with Claude
• 📝 Code Generation - Generate production-ready Python code from descriptions
• 🔍 Project Analysis - Understand and improve existing codebases
• 📁 Smart File Operations - Context-aware file creation and updates
• ⚡ Command Execution - Run Python scripts, UV commands, shell scripts, any CLI tool
• ⌨️ Multi-line Input - Press Enter to submit, Shift+Enter for newline
• 🔒 Safety First - Confirmation prompts before executing commands

Intelligent Features (v0.2.x)

• 🧠 Intent Recognition - Understands "update" vs "create new" from natural language
• 🔄 Context-Aware Updates - Reads files before modifying them
• 🔁 Self-Correcting - Smart retry mechanism with 3 attempts
• ⏱️ Timeout Protection - Prevents infinite loops (5 min default)
• 📊 Comprehensive Output - Captures stdout, stderr, and exit codes

🎮 Usage Examples

Starting a New Project

You: Create a FastAPI app with authentication

WYN360:
- Generates main.py with FastAPI setup
- Creates auth middleware
- Adds example routes
- Provides setup instructions

Updating Existing Code

You: Add logging to my script.py

WYN360:
- Reads current script.py
- Adds logging configuration
- Updates functions with log statements
- Preserves existing functionality

Executing Commands

You: Run the analysis script

WYN360: [Generates the command to run]

======================================================================
⚠️  COMMAND EXECUTION CONFIRMATION
======================================================================
Command: python analysis.py
Directory: /current/working/directory
Permissions: Full user permissions
======================================================================

>>> WAITING FOR YOUR RESPONSE <<<

Execute this command? (y/N): y

✅ Command executed successfully
[Shows output]

Note: When you see the confirmation prompt, the "thinking" spinner may still appear in the background. This is normal - just type y and press Enter to proceed, or N to cancel.

🎯 Commands

Command	Description
<message>	Chat with the AI assistant
Enter	Submit your message
Shift+Enter	Add a new line (multi-line input)
exit or quit	End the session

📚 Documentation

For comprehensive documentation including:

• Detailed use cases and examples
• Tool descriptions and capabilities
• UV workflow integration
• Best practices and tips

See: USE_CASES.md

🛠️ Development & Testing

Prerequisites

• Python >= 3.10
• Poetry (package manager)
• Anthropic API key

Setting Up Development Environment

1. Clone the repository:

git clone https://github.com/yiqiao-yin/wyn360-cli.git
cd wyn360-cli

2. Install Poetry (if not already installed):

curl -sSL https://install.python-poetry.org | python3 -

3. Install dependencies:

poetry install

This will:

• Create a virtual environment
• Install all production dependencies from pyproject.toml
• Install development dependencies (pytest, pytest-asyncio, pytest-mock)
• Install the package in editable mode

Running Tests

Run all tests with verbose output:

# Skip command confirmation prompts in tests
WYN360_SKIP_CONFIRM=1 poetry run pytest tests/ -v

Run tests with short traceback:

WYN360_SKIP_CONFIRM=1 poetry run pytest tests/ -v --tb=short

Run specific test file:

poetry run pytest tests/test_agent.py -v

Run specific test class:

poetry run pytest tests/test_utils.py::TestExecuteCommandSafe -v

Run with coverage report:

poetry run pytest tests/ --cov=wyn360_cli --cov-report=html

Test Structure

tests/
├── __init__.py
├── test_agent.py          # Agent and tool tests (16 tests)
└── test_utils.py          # Utility function tests (29 tests)
                           # Total: 45 tests

Expected Output

When all tests pass, you should see:

============================= test session starts ==============================
platform linux -- Python 3.10.12, pytest-8.4.2, pluggy-1.6.0
cachedir: .pytest_cache
rootdir: /home/workbench/wyn360-cli/wyn360-cli
configfile: pyproject.toml
plugins: asyncio-1.2.0, mock-3.15.1
collected 45 items

tests/test_agent.py::TestWYN360Agent::test_agent_initialization PASSED   [  2%]
tests/test_agent.py::TestWYN360Agent::test_system_prompt_contains_key_instructions PASSED [  4%]
...
tests/test_utils.py::TestExecuteCommandSafe::test_execute_python_script PASSED [100%]

============================== 45 passed in 1.55s

Building and Publishing

Build the package:

poetry build

This creates:

• dist/wyn360_cli-X.Y.Z.tar.gz (source distribution)
• dist/wyn360_cli-X.Y.Z-py3-none-any.whl (wheel)

Publish to PyPI:

poetry publish

Build and publish in one command:

poetry build && poetry publish

Version Management

Update version in these files:

• pyproject.toml - version = "X.Y.Z"
• wyn360_cli/__init__.py - __version__ = "X.Y.Z"
• USE_CASES.md - Update changelog and version number

Development Workflow

1. Create a feature branch:

git checkout -b feature/your-feature-name

2. Make changes and test:

# Make your changes
WYN360_SKIP_CONFIRM=1 poetry run pytest tests/ -v

3. Update version and documentation:

# Update version in pyproject.toml, __init__.py, USE_CASES.md

4. Commit and push:

git add .
git commit -m "feat: your feature description"
git push origin feature/your-feature-name

5. Build and publish:

poetry build && poetry publish
git push origin main

🧪 Environment Variables

Variable	Description	Default
ANTHROPIC_API_KEY	Anthropic API key (required)	None
WYN360_SKIP_CONFIRM	Skip command execution confirmations	0 (disabled)

Set WYN360_SKIP_CONFIRM=1 to skip confirmation prompts (useful for testing or automation).

📋 Requirements

• Python >= 3.10
• Dependencies (automatically installed):
  • click>=8.1.0 - CLI framework
  • pydantic-ai>=0.0.1 - AI agent framework
  • anthropic>=0.39.0 - Anthropic API client
  • rich>=13.0.0 - Terminal formatting
  • python-dotenv>=1.2.1 - Environment variable management
  • prompt-toolkit>=3.0.0 - Advanced input handling

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Run tests (WYN360_SKIP_CONFIRM=1 poetry run pytest tests/ -v)
4. Commit your changes (git commit -m 'feat: add amazing feature')
5. Push to the branch (git push origin feature/amazing-feature)
6. Open a Pull Request

📄 License

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

👤 Author

Yiqiao Yin

• Email: [e-mail]
• GitHub: @yiqiao-yin

🙏 Acknowledgments

• Built with Anthropic Claude - Advanced AI assistant
• Powered by pydantic-ai - Python agent framework
• CLI framework by Click
• Terminal UI by Rich

🔗 Links

• PyPI: https://pypi.org/project/wyn360-cli/
• GitHub: https://github.com/yiqiao-yin/wyn360-cli
• Documentation: USE_CASES.md
• Get API Key: https://console.anthropic.com/

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Current Version: 0.2.3 Last Updated: November 2025