mirror of
https://github.com/hanzoai/python-sdk.git
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215 lines
6.5 KiB
Markdown
215 lines
6.5 KiB
Markdown
<p align="center"><img src=".github/hero.svg" alt="Hanzo Python SDK" width="880"></p>
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# Hanzo Python SDK
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**The flagship Python SDK for the Open AI Cloud — models, agents, tools, memory, and MCP in one install.**
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[](https://github.com/hanzoai/python-sdk/actions/workflows/ci.yml)
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[](https://pypi.org/project/hanzoai/)
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[](https://pypi.org/project/hanzoai/)
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[](LICENSE)
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This is the most complete Hanzo SDK — a `uv` workspace of 60+ composable packages
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covering the full AI surface: the typed cloud client, an agent framework, the
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Model Context Protocol server and tools, persistent memory + RAG, distributed
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compute, and a batteries-included CLI. If you build AI in Python, start here.
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## Install
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```bash
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pip install hanzo # flagship: CLI + agents + MCP + client
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```
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Or install exactly what you need:
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```bash
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pip install hanzoai # just the typed cloud API client
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pip install "hanzo[all]" # everything, including optional extras
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```
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## Quickstart
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```python
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from hanzoai import ApiClient, Configuration, AiOpenAICompatibleApi
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from hanzoai import AiChatCompletionRequest, AiChatMessage
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config = Configuration(host="https://api.hanzo.ai", access_token="sk-...")
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with ApiClient(config) as client:
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ai = AiOpenAICompatibleApi(client)
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resp = ai.ai_create_chat_completion(
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AiChatCompletionRequest(
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model="zen-coder",
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messages=[AiChatMessage(role="user", content="Ship it.")],
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)
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)
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print(resp.choices[0].message.content)
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```
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Every route is `https://api.hanzo.ai/v1/<service>/*`. Models come from the **Zen**
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family (our own models) plus any provider you connect — one typed client, no proxy
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in the middle.
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## Packages
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The workspace splits cleanly by concern. The headline packages:
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| Package | Purpose |
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|---------|---------|
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| `hanzoai` | Typed cloud API client (generated from the Hanzo OpenAPI surface). |
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| `hanzo` | The `hanzo` CLI + runtime that ties everything together. |
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| `hanzo-mcp` | Model Context Protocol server — discovers tools via entry points. |
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| `hanzo-agents` / `hanzo-agent` | Agent framework — build and orchestrate agents and swarms. |
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| `hanzo-network` | Distributed AI compute and node orchestration. |
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| `hanzo-memory` | Persistent memory + RAG (SQLite, optional vector backends). |
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| `hanzo-tools-*` | 60+ single-concern tool packages (`shell`, `browser`, `fs`, `code`, `vector`, `iam`, …), each exposing a `TOOLS` list. |
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```
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python-sdk/
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└── pkg/
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├── hanzoai/ # typed cloud client (OpenAPI-generated)
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├── hanzo/ # CLI + runtime meta package
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├── hanzo-mcp/ # MCP server (entry-point tool discovery)
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├── hanzo-agents/ # agent framework
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├── hanzo-network/ # distributed compute
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├── hanzo-memory/ # memory + RAG
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└── hanzo-tools-*/ # composable tool packages
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```
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## CLI
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`pip install hanzo` gives you the `hanzo` command:
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```bash
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hanzo chat # chat with the Zen models
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hanzo node # start / manage a local compute node
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hanzo mcp # run the MCP server for your editor or agent
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hanzo agent # build and run agents
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hanzo run # run a workflow
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hanzo cloud # manage cloud resources
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hanzo search # AI-powered search
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```
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Run `hanzo --help` for the full command tree.
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## Model Context Protocol (`hanzo-mcp`)
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`hanzo-mcp` hosts the MCP server and discovers tools through
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`[project.entry-points."hanzo.tools"]`, so any installed `hanzo-tools-*` package
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lights up automatically.
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```python
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from hanzo_mcp import create_mcp_server
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server = create_mcp_server()
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server.register_tool(my_tool)
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server.start()
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```
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## Agents (`hanzo-agents`)
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```python
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from hanzo_agents import Agent, Swarm
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agent = Agent(
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name="researcher",
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model="zen-coder",
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instructions="You are a research assistant.",
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)
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swarm = Swarm([agent])
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result = await swarm.run("Research quantum computing.")
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```
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## Network (`hanzo-network`)
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```python
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from hanzo_network import LocalComputeNode, DistributedNetwork
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node = LocalComputeNode(node_id="node-001")
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network = DistributedNetwork()
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network.register_node(node)
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```
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## Memory (`hanzo-memory`)
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Persistent memory and RAG backed by SQLite, with optional vector search
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(`sqlite-vec`, `lancedb`, `kuzu`). Global state lives in `~/.hanzo/`; per-project
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state in `.hanzo/`.
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```python
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from hanzo_memory import MemoryService
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memory = MemoryService()
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await memory.store("key", "value")
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result = await memory.retrieve("key")
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```
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## Development
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This is a `uv` workspace.
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```bash
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git clone https://github.com/hanzoai/python-sdk.git
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cd python-sdk
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uv sync --all-packages # install the whole workspace
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uv run pytest tests/ -v # run tests
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make lint # ruff lint
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make format # ruff format
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make type-check # mypy / pyright
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```
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Per-package work:
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```bash
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uv run pytest pkg/hanzo-mcp -v
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cd pkg/hanzo && uv build
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```
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## Configuration
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```bash
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HANZO_API_KEY=your-api-key
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HANZO_BASE_URL=https://api.hanzo.ai
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HANZO_LOG_LEVEL=INFO
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```
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Or `~/.hanzo/config.yaml`:
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```yaml
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api:
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key: your-api-key
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base_url: https://api.hanzo.ai
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logging:
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level: INFO
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```
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## Security
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- Transport is TLS 1.3+. Secrets belong in a KMS, never in source or plaintext.
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- SOC 2 audit in progress; HIPAA BAA available.
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Report vulnerabilities to **[email protected]**. See [SECURITY.md](SECURITY.md).
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## Contributing
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Contributions welcome — see [CONTRIBUTING.md](CONTRIBUTING.md). Use type hints,
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add tests for new behavior, and run `make lint` before opening a PR.
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## License
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Apache License 2.0 — see [LICENSE](LICENSE).
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## Support
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- Docs: [docs.hanzo.ai](https://docs.hanzo.ai)
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- Issues: [github.com/hanzoai/python-sdk/issues](https://github.com/hanzoai/python-sdk/issues)
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- Email: support@hanzo.ai
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## Hanzo — the Open AI Cloud
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Open source · every language · on-chain settlement. [hanzo.ai](https://hanzo.ai) · [docs.hanzo.ai](https://docs.hanzo.ai)
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**SDKs in every language** — [Python](https://github.com/hanzoai/python-sdk) (flagship) · [TypeScript](https://github.com/hanzo-js/sdk) · [Go](https://github.com/hanzo-go/sdk) · [Rust](https://github.com/hanzo-rs/sdk) · [C++](https://github.com/hanzo-cpp/sdk) · [Swift](https://github.com/hanzo-swift/sdk) · [Kotlin](https://github.com/hanzo-kt/sdk) · [umbrella](https://github.com/hanzoai/sdk)
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