Hanzo Python SDK

The flagship Python SDK for the Open AI Cloud — models, agents, tools, memory, and MCP in one install.

This is the most complete Hanzo SDK — a uv workspace of 60+ composable packages covering the full AI surface: the typed cloud client, an agent framework, the Model Context Protocol server and tools, persistent memory + RAG, distributed compute, and a batteries-included CLI. If you build AI in Python, start here.

Install

pip install hanzo          # flagship: CLI + agents + MCP + client

Or install exactly what you need:

pip install hanzoai        # just the typed cloud API client
pip install "hanzo[all]"   # everything, including optional extras

Quickstart

from hanzoai import ApiClient, Configuration, AiOpenAICompatibleApi
from hanzoai import AiChatCompletionRequest, AiChatMessage

config = Configuration(host="https://api.hanzo.ai", access_token="sk-...")

with ApiClient(config) as client:
    ai = AiOpenAICompatibleApi(client)
    resp = ai.ai_create_chat_completion(
        AiChatCompletionRequest(
            model="zen-coder",
            messages=[AiChatMessage(role="user", content="Ship it.")],
        )
    )
    print(resp.choices[0].message.content)

Every route is https://api.hanzo.ai/v1/<service>/*. Models come from the Zen family (our own models) plus any provider you connect — one typed client, no proxy in the middle.

Examples — the six canonical flows

examples/ carries one directory per flow. These are the same six in every Hanzo SDK, so a reader who knows one language's set can navigate another's.

Each reads HANZO_API_KEY from the environment and talks to https://api.hanzo.ai unless HANZO_BASE_URL says otherwise:

export HANZO_API_KEY=hk-...
uv run python -m examples.hello

They import from hanzoai.cloud — the client generated from the Hanzo OpenAPI surface (2452 operations, 1798 schemas), which is where new work goes. examples/client.py is the single place a base URL or an env var is resolved. CI imports all six on every push, which is what keeps them from rotting into pseudocode.

Packages

The workspace splits cleanly by concern. The headline packages:

python-sdk/
└── pkg/
    ├── hanzoai/          # typed cloud client (OpenAPI-generated)
    ├── hanzo/            # CLI + runtime meta package
    ├── hanzo-mcp/        # MCP server (entry-point tool discovery)
    ├── hanzo-agents/     # agent framework
    ├── hanzo-network/    # distributed compute
    ├── hanzo-memory/     # memory + RAG
    └── hanzo-tools-*/    # composable tool packages

CLI

pip install hanzo gives you the hanzo command:

hanzo chat            # chat with the Zen models
hanzo node            # start / manage a local compute node
hanzo mcp             # run the MCP server for your editor or agent
hanzo agent           # build and run agents
hanzo run             # run a workflow
hanzo cloud           # manage cloud resources
hanzo search          # AI-powered search

Run hanzo --help for the full command tree.

Model Context Protocol (hanzo-mcp)

hanzo-mcp hosts the MCP server and discovers tools through [project.entry-points."hanzo.tools"], so any installed hanzo-tools-* package lights up automatically.

from hanzo_mcp import create_mcp_server

server = create_mcp_server()
server.register_tool(my_tool)
server.start()

Agents (hanzo-agents)

from hanzo_agents import Agent, Swarm

agent = Agent(
    name="researcher",
    model="zen-coder",
    instructions="You are a research assistant.",
)

swarm = Swarm([agent])
result = await swarm.run("Research quantum computing.")

Network (hanzo-network)

from hanzo_network import LocalComputeNode, DistributedNetwork

node = LocalComputeNode(node_id="node-001")
network = DistributedNetwork()
network.register_node(node)

Memory (hanzo-memory)

Persistent memory and RAG backed by SQLite, with optional vector search (sqlite-vec, lancedb, kuzu). Global state lives in ~/.hanzo/; per-project state in .hanzo/.

from hanzo_memory import MemoryService

memory = MemoryService()
await memory.store("key", "value")
result = await memory.retrieve("key")

Development

This is a uv workspace.

git clone https://github.com/hanzoai/python-sdk.git
cd python-sdk
uv sync --all-packages       # install the whole workspace

uv run pytest tests/ -v      # run tests
make lint                    # ruff lint
make format                  # ruff format
make type-check              # mypy / pyright

Per-package work:

uv run pytest pkg/hanzo-mcp -v
cd pkg/hanzo && uv build

Configuration

HANZO_API_KEY=your-api-key
HANZO_BASE_URL=https://api.hanzo.ai
HANZO_LOG_LEVEL=INFO

Or ~/.hanzo/config.yaml:

api:
  key: your-api-key
  base_url: https://api.hanzo.ai
logging:
  level: INFO

Security

• Transport is TLS 1.3+. Secrets belong in a KMS, never in source or plaintext.
• SOC 2 audit in progress; HIPAA BAA available.

Report vulnerabilities to security@hanzo.ai. See SECURITY.md.

Contributing

Contributions welcome — see CONTRIBUTING.md. Use type hints, add tests for new behavior, and run make lint before opening a PR.

License

Apache License 2.0 — see LICENSE.

Support

• Docs: docs.hanzo.ai
• Issues: github.com/hanzoai/python-sdk/issues
• Email: support@hanzo.ai

Hanzo — the Open AI Cloud

Open source · every language · on-chain settlement. hanzo.ai · docs.hanzo.ai

SDKs in every language — Python (flagship) · TypeScript · Go · Rust · C++ · Swift · Kotlin · umbrella