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Transforms hanzoai/agents from a marketplace config repo into a full agent orchestration platform by merging the AgentField infrastructure: - Go control plane (K8s-like agent orchestration, service mesh, DAG workflows) - Python SDK (FastAPI-based agent framework, LiteLLM, memory, DID/VC) - TypeScript SDK (@hanzo/agents - Vercel AI SDK, MCP, workflows) - Go SDK (idiomatic agent builder + client) - React 19 embedded dashboard (XyFlow DAGs, Recharts, Radix UI) - Docker/K8s/Helm deployment configs - Examples: hello world, deep research, RAG, simulation, benchmarks - Functional test suite across Python/Go/TypeScript All references rebranded: AgentField → Hanzo Agents - Module: github.com/hanzoai/agents/control-plane - Python: hanzo_agents - TypeScript: @hanzo/agents - Go: github.com/hanzoai/agents/sdk/go - Env vars: HANZO_AGENTS_* - Config: hanzo-agents.yaml Previous marketplace configs moved to config/ directory.
1.1 KiB
1.1 KiB
Hanzo Agents Python SDK
The Hanzo Agents SDK provides a production-ready Python interface for registering agents, executing workflows, and integrating with the Hanzo Agents control plane.
Installation
pip install hanzo-agents
To work on the SDK locally:
git clone https://github.com/hanzoai/agents.git
cd hanzo-agents/sdk/python
python -m pip install -e .[dev]
Quick Start
from hanzo-agents import Agent
agent = Agent(
node_id="example-agent",
hanzo_agents_server="http://localhost:8080",
dev_mode=True,
)
@agent.reasoner()
async def summarize(text: str) -> dict:
result = await agent.ai(
prompt=f"Summarize: {text}",
response_model={"summary": "string", "tone": "string"},
)
return result
if __name__ == "__main__":
agent.serve(port=8001)
See docs/DEVELOPMENT.md for instructions on wiring agents to the control plane.
Testing
pytest
To run coverage locally:
pytest --cov=hanzo-agents --cov-report=term-missing
License
Distributed under the Apache 2.0 License. See the project root LICENSE for details.