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https://github.com/hanzoai/agents.git
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zeekayandGitHub
5b5cf9e9db
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.
29 lines
769 B
YAML
29 lines
769 B
YAML
apiVersion: v1
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kind: ConfigMap
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metadata:
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name: hanzo-agents-demo-python-agent
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data:
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main.py: |
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import os
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from hanzo-agents import Agent
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app = Agent(
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node_id=os.getenv("AGENT_NODE_ID", "demo-python-agent"),
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hanzo_agents_server=os.getenv("HANZO_AGENTS_URL", "http://localhost:8080"),
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dev_mode=True,
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)
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@app.reasoner()
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async def hello(name: str = "Hanzo Agents") -> dict:
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return {"greeting": f"Hello, {name}!", "node_id": app.node_id}
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@app.reasoner()
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async def demo_echo(message: str = "Hello!") -> dict:
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return {"echo": message, "node_id": app.node_id}
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if __name__ == "__main__":
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port = int(os.getenv("PORT", "8001"))
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app.run(host="0.0.0.0", port=port, auto_port=False)
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