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python-sdk/pkg/hanzo-dev/README.md
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zeekay ebb04882d6 feat: hanzo-dev Python TUI + LSP + hooks + sandbox + vim + git + multi-auth + full parity
Rename hanzo-repl → hanzo-dev to match @hanzo/dev (Rust/TS).

New packages:
- hanzo-lsp: async LSP client (diagnostics, go-to-def, references, context enrichment)
- hanzo-hooks: pre/post tool use hooks (shell scripts, exit-code deny)
- hanzo-sandbox: container detection, filesystem isolation, Linux unshare

hanzo-dev TUI:
- Vim keybindings (Normal/Insert/Visual/Command modes, 37 tests)
- Git slash commands (/branch /commit /worktree /diff /stash, 13 tests)
- All slash commands at parity: /model /permissions /clear /resume /memory
  /init /export /session /plan /solve /code /auto /fast /remote-control
- Multi-provider auth: Anthropic OAuth, OpenAI device code, Hanzo PKCE, auto-detect

Auth:
- login_with_anthropic() — PKCE via console.hanzo.ai
- login_with_openai() — device code flow via auth.openai.com
- login_auto() — env var detection + saved credential fallback
- OAuthCredentialStore supports provider keys (hanzo/anthropic/openai)

Parity test suite (38 tests): SSE, MCP normalization, permissions, compaction,
token usage, PKCE RFC vector, config, backoff, session roundtrip, hooks.

348 tests total, 0 failures across Python + Rust + Universe E2E.
2026-04-01 10:41:46 -07:00

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4.1 KiB
Markdown

# 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
```bash
# 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:
```bash
# 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
```python
# 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
```python
# 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:
```bash
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:
```bash
pip install hanzo-dev[voice]
```
Enable in REPL:
```python
>>> enable_voice()
>>> chat("Hello") # Speak your message
```
### Custom Tools
Create custom tools on the fly:
```python
@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:
```python
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:
```python
>>> agent = create_agent("researcher")
>>> agent.run("Research best practices for API design")
```
### With Hanzo Network
Dispatch to agent networks:
```python
>>> 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:
```bash
echo $ANTHROPIC_API_KEY # Should show your key
```
### Tool Errors
Check tool permissions:
```python
>>> mcp.get_allowed_paths()
>>> mcp.add_allowed_path("/path/to/allow")
```
### Performance
For better performance:
```python
>>> 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.