hanzo 0.3.9

Hanzo AI - Complete AI Infrastructure Platform with CLI, Router, MCP, and Agent Runtime

Hanzo AI - Complete AI Infrastructure Platform

The main SDK for the Hanzo AI ecosystem, providing unified access to all Hanzo tools and services.

Installation

# Install base package with CLI
pip install hanzo

# Install with all components
pip install hanzo[all]

# Install specific components
pip install hanzo[ai]      # AI SDK (same as standalone hanzoai package)
pip install hanzo[router]  # LLM gateway router (replaces litellm)
pip install hanzo[mcp]     # Model Context Protocol server
pip install hanzo[agents]  # Agent runtime and orchestration
pip install hanzo[repl]    # Interactive REPL with AI chat

Features

• Unified LLM Gateway: Use hanzo.router instead of litellm for 100+ LLM providers
• MCP Integration: Full Model Context Protocol support for AI tools
• Agent Runtime: Build and deploy AI agents with the agent framework
• Interactive REPL: Chat with AI models directly from the command line
• Complete SDK: Import all Hanzo components from a single package

Quick Start

Command Line

# Main CLI
hanzo --help

# Start MCP server
hanzo-mcp

# Interactive AI chat
hanzo-ai
hanzo-chat

# REPL interface
hanzo-repl

Python SDK

import hanzo

# Use router for LLM calls (replaces litellm)
from hanzo import router
response = router.completion(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

# Use agents
from hanzo import Agent, Network
agent = Agent(name="assistant")

# Use MCP tools
from hanzo import Tool, MCPServer

# Access AI SDK
from hanzo import Client
client = Client(api_key="...")

Components

• hanzo.router: Unified LLM gateway (replaces litellm)
• hanzo.mcp: Model Context Protocol server and tools
• hanzo.agents: Agent runtime and orchestration
• hanzo.memory: Memory systems for agents
• hanzo.Client: Main AI SDK client

Documentation

• Hanzo AI Docs
• Router Documentation
• MCP Documentation
• Agent Documentation