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- Fumadocs-based docs with @hanzo/mdx and @hanzo/ui integration - Comprehensive SDK documentation for all packages: - hanzo-agent SDK (agents, tools, guardrails, tracing) - hanzo-mcp tools (filesystem, shell, browser, memory, etc.) - Client, models, embeddings, chat APIs - Tailwind 4 + Next.js 16 + React 19 stack - Static export for GitHub Pages deployment
50 lines
1.6 KiB
Plaintext
50 lines
1.6 KiB
Plaintext
---
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title: Python SDK
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description: The official Python SDK for Hanzo AI - Unified access to 100+ LLM providers through a single OpenAI-compatible API.
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---
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The Hanzo Python SDK provides a unified interface to 100+ LLM providers through a single OpenAI-compatible API. It includes enterprise features like cost tracking, rate limiting, and observability.
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## Features
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- **100+ LLM Providers**: Access OpenAI, Anthropic, Google, Mistral, and more through a single API
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- **OpenAI Compatible**: Drop-in replacement for the OpenAI SDK
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- **Enterprise Ready**: Built-in cost tracking, rate limiting, and team management
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- **Type Safe**: Full type hints and Pydantic models
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- **Async Support**: Both sync and async clients available
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## Packages
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The SDK is organized as a monorepo with multiple packages:
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| Package | Description |
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|---------|-------------|
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| `hanzoai` | Core SDK for Hanzo AI platform |
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| `hanzo-mcp` | Model Context Protocol implementation |
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| `hanzo-agents` | Agent framework and swarm orchestration |
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| `hanzo-memory` | Memory and knowledge base management |
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| `hanzo` | CLI and orchestration tools |
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## Quick Example
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```python
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from hanzoai import Hanzo
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client = Hanzo(api_key="your-api-key")
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[
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{"role": "user", "content": "Hello, world!"}
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]
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)
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print(response.choices[0].message.content)
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```
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## Next Steps
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- [Installation](/docs/python-sdk/installation) - Get started with the SDK
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- [Quickstart](/docs/python-sdk/quickstart) - Build your first application
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- [MCP Tools](/docs/mcp) - Learn about Model Context Protocol
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