mirror of
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.
58 lines
1.6 KiB
TypeScript
58 lines
1.6 KiB
TypeScript
import dotenv from 'dotenv';
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import { dirname, resolve } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import { Agent, type AIConfig } from '@hanzo-agents/sdk';
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import {
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aggregationRouter,
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decisionRouter,
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entityRouter,
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scenarioRouter,
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simulationRouter
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} from './routers/index.js';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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dotenv.config({ path: resolve(process.cwd(), '.env') });
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if (!process.env.OPENAI_API_KEY && !process.env.OPENROUTER_API_KEY) {
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dotenv.config({ path: resolve(__dirname, '../../../.env') });
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}
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const aiConfig: AIConfig =
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process.env.OPENROUTER_API_KEY
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? {
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// OpenRouter is OpenAI-compatible; keep provider as openai
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provider: 'openai',
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model: process.env.OPENROUTER_MODEL ?? 'deepseek/deepseek-v3.1-terminus',
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apiKey: process.env.OPENROUTER_API_KEY,
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baseUrl: process.env.OPENROUTER_BASE_URL ?? 'https://openrouter.ai/api/v1'
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}
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: {
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provider: 'openai',
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model: process.env.OPENAI_MODEL ?? 'gpt-4o',
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apiKey: process.env.OPENAI_API_KEY
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};
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const agent = new Agent({
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nodeId: 'simulation-engine',
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aiConfig,
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host: 'localhost',
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devMode: true
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});
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[scenarioRouter, entityRouter, decisionRouter, aggregationRouter, simulationRouter].forEach((router) =>
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agent.includeRouter(router)
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);
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agent.reasoner<{ message: string }, { echo: string }>('echo', async (ctx) => ({
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echo: ctx.input.message
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}));
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agent
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.serve()
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.then(() => {
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console.log('Simulation agent serving on port 8001');
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})
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.catch((err) => {
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console.error('Failed to start simulation agent', err);
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process.exit(1);
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});
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