python-sdk/pkg/hanzo-dev/README.md

Hanzo Dev

Interactive dev environment for Hanzo AI - Like Claude Code in your terminal.

Features

• 🎯 Direct MCP Access: All 70+ MCP tools available as Python functions
• 💬 Integrated Chat: Chat with AI that can use MCP tools
• 🔧 IPython Magic: Advanced features with tab completion and magic commands
• 🎨 Beautiful TUI: Textual-based terminal UI with syntax highlighting
• 🔄 Live Editing: Edit code and see results immediately
• 🎤 Voice Mode: Speak to AI and hear responses (optional)

Quick Start

# Install
pip install hanzo-dev

# Start interactive dev environment (recommended)
hanzo-dev

# Start IPython mode (advanced)
hanzo-dev-ipython

# Start TUI mode (beautiful interface)
hanzo-dev-tui

Usage

Basic CLI Usage

The REPL integrates seamlessly with the Hanzo CLI:

# Interactive chat mode
hanzo chat

# Quick questions
hanzo ask "What files are in the current directory?"

# With specific model
hanzo ask "Explain this code" --model claude-3-opus

REPL Commands

# Direct tool access
>>> read_file(file_path="README.md")
>>> write_file(file_path="test.py", content="print('Hello')")
>>> search(query="def main", path=".")

# Chat with AI
>>> chat("Create a Python script that fetches weather data")

# AI will use tools automatically
>>> chat("Find all TODO comments in the codebase and create a summary")

IPython Magic Commands

# Quick chat
%chat What is 2+2?

# Multi-line chat
%%ai
Help me refactor this function to be more efficient.
It should handle edge cases better.

# List tools
%tools

# Change model
%model claude-3.5-sonnet

# Execute tool
%tool read_file {"file_path": "config.json"}

TUI Mode Features

• Split panes: Code editor, chat, and output
• Syntax highlighting: Full language support
• Tool palette: Visual tool selection
• History: Navigate previous commands
• Themes: Dark/light mode support

Environment Setup

Set at least one LLM provider:

export ANTHROPIC_API_KEY=your-key  # For Claude
export OPENAI_API_KEY=your-key     # For GPT
export HANZO_API_KEY=your-key      # For Hanzo AI

Advanced Features

Voice Mode

Install voice dependencies:

pip install hanzo-dev[voice]

Enable in REPL:

>>> enable_voice()
>>> chat("Hello")  # Speak your message

Custom Tools

Create custom tools on the fly:

@register_tool
def my_tool(param: str) -> str:
    """My custom tool."""
    return f"Processed: {param}"

# Now available to AI
>>> chat("Use my_tool to process 'hello'")

Scripting

Use the REPL in scripts:

from hanzo_dev import create_repl

async def main():
    repl = create_repl()
    result = await repl.chat("Analyze the project structure")
    print(result)

Integration with Hanzo Ecosystem

With Hanzo MCP

All MCP tools are automatically available:

• File operations
• Code search and analysis
• Process management
• Git operations
• And 60+ more tools

With Hanzo Agents

Create and manage agents:

>>> agent = create_agent("researcher")
>>> agent.run("Research best practices for API design")

With Hanzo Network

Dispatch to agent networks:

>>> network.dispatch("Solve this problem", agents=5)

Tips

1. Tab Completion: Use Tab to explore available tools and parameters
2. Help System: Use ? after any function for documentation
3. History: Use up/down arrows to navigate command history
4. Shortcuts: Ctrl+R for reverse search, Ctrl+L to clear screen
5. Output: Results are automatically pretty-printed with Rich

Troubleshooting

No LLM Response

Ensure you have set API keys:

echo $ANTHROPIC_API_KEY  # Should show your key

Tool Errors

Check tool permissions:

>>> mcp.get_allowed_paths()
>>> mcp.add_allowed_path("/path/to/allow")

Performance

For better performance:

>>> set_model("gpt-3.5-turbo")  # Faster model
>>> set_streaming(True)  # Stream responses

Contributing

The REPL is part of the Hanzo Python SDK. See the main repository for contribution guidelines.

License

BSD-3-Clause - see LICENSE file for details.