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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.
52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""Deep Research Agent with Recursive Planning."""
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from __future__ import annotations
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import os
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from pathlib import Path
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import sys
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from hanzo_agents import AIConfig, Agent
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if __package__ in (None, ""):
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current_dir = Path(__file__).resolve().parent
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if str(current_dir) not in sys.path:
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sys.path.insert(0, str(current_dir))
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from routers import planning_router, research_router
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app = Agent(
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node_id="deep-research",
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hanzo_agents_server=f"{os.getenv('HANZO_AGENTS_SERVER', 'http://localhost:8080')}",
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ai_config=AIConfig(
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model=os.getenv("AI_MODEL", "openrouter/deepseek/deepseek-v3.1-terminus"),
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),
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)
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app.include_router(planning_router)
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app.include_router(research_router)
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if __name__ == "__main__":
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print("🔬 Deep Research Agent")
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print("🧠 Node ID: deep-research")
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print(f"🌐 Control Plane: {app.hanzo_agents_server}")
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print("\n🎯 Architecture: Recursive Planning + Research Execution")
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print(" 1. Recursive Task Decomposition → Breaks research into subtasks")
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print(" 2. Topological Graph → Identifies dependencies and parallelization")
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print(" 3. Research Execution → Tavily search with citation tracking")
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print(" 4. Findings Synthesis → Structured results with sources")
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print("\n✨ Features:")
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print(" - Recursive task breakdown with configurable depth")
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print(" - Automatic dependency detection")
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print(" - Parallel execution planning")
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print(" - Web search integration (Tavily)")
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print(" - Citation tracking and structured findings")
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print(" - Elegant and simple Hanzo Agents primitives")
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port_env = os.getenv("PORT")
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if port_env is None:
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app.run(auto_port=True, host="::")
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else:
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app.run(port=int(port_env), host="::")
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