多智能体团队协作

/**
 * Multi-Agent Team Collaboration
 *
 * Three specialised agents (architect, developer, reviewer) collaborate on a
 * shared goal. The OpenMultiAgent orchestrator breaks the goal into tasks, assigns
 * them to the right agents, and collects the results.
 *
 * Run:
 *   npx tsx packages/core/examples/basics/team-collaboration.ts
 *
 * Prerequisites:
 *   OPENAI_API_KEY env var must be set. Works with any OpenAI-compatible
 *   provider: set OPENAI_BASE_URL + OMA_MODEL for Groq, DeepSeek, Ollama, etc.
 */
 
import { join } from 'node:path'
import { OpenMultiAgent } from '../../src/index.js'
import type { AgentConfig, OrchestratorEvent } from '../../src/types.js'
 
// Works with any OpenAI-compatible provider. Set OPENAI_API_KEY for OpenAI, or
// OPENAI_BASE_URL + OMA_MODEL for Groq, DeepSeek, Ollama, etc.
const model = process.env.OMA_MODEL ?? 'gpt-5.4'
 
// Built-in filesystem tools are sandboxed to `<cwd>/.agent-workspace` by
// default; the generated API lives under that root so the demo runs
// without disabling the sandbox.
const OUTPUT_DIR = join(process.cwd(), '.agent-workspace', 'express-api')
 
// ---------------------------------------------------------------------------
// Agent definitions
// ---------------------------------------------------------------------------
 
const architect: AgentConfig = {
  name: 'architect',
  model,
  systemPrompt: `You are a software architect with deep experience in Node.js and REST API design.
Your job is to design clear, production-quality API contracts and file/directory structures.
Output concise plans in markdown — no unnecessary prose.`,
  tools: ['bash', 'file_write'],
  maxTurns: 5,
  temperature: 0.2,
}
 
const developer: AgentConfig = {
  name: 'developer',
  model,
  systemPrompt: `You are a TypeScript/Node.js developer. You implement what the architect specifies.
Write clean, runnable code with proper error handling. Use the tools to write files and run tests.`,
  tools: ['bash', 'file_read', 'file_write', 'file_edit'],
  maxTurns: 12,
  temperature: 0.1,
}
 
const reviewer: AgentConfig = {
  name: 'reviewer',
  model,
  systemPrompt: `You are a senior code reviewer. Review code for correctness, security, and clarity.
Provide a structured review with: LGTM items, suggestions, and any blocking issues.
Read files using the tools before reviewing.`,
  tools: ['bash', 'file_read', 'grep'],
  maxTurns: 5,
  temperature: 0.3,
}
 
// ---------------------------------------------------------------------------
// Progress tracking
// ---------------------------------------------------------------------------
 
const startTimes = new Map<string, number>()
 
function handleProgress(event: OrchestratorEvent): void {
  const ts = new Date().toISOString().slice(11, 23) // HH:MM:SS.mmm
 
  switch (event.type) {
    case 'agent_start':
      startTimes.set(event.agent ?? '', Date.now())
      console.log(`[${ts}] AGENT START  → ${event.agent}`)
      break
 
    case 'agent_complete': {
      const elapsed = Date.now() - (startTimes.get(event.agent ?? '') ?? Date.now())
      console.log(`[${ts}] AGENT DONE   ← ${event.agent} (${elapsed}ms)`)
      break
    }
 
    case 'task_start':
      console.log(`[${ts}] TASK START   ↓ ${event.task}`)
      break
 
    case 'task_complete':
      console.log(`[${ts}] TASK DONE    ↑ ${event.task}`)
      break
 
    case 'message':
      console.log(`[${ts}] MESSAGE      • ${event.agent} → (team)`)
      break
 
    case 'error':
      console.error(`[${ts}] ERROR        ✗ agent=${event.agent} task=${event.task}`)
      if (event.data instanceof Error) {
        console.error(`               ${event.data.message}`)
      }
      break
  }
}
 
// ---------------------------------------------------------------------------
// Orchestrate
// ---------------------------------------------------------------------------
 
const orchestrator = new OpenMultiAgent({
  defaultProvider: 'openai',
  defaultModel: model,
  defaultBaseURL: process.env.OPENAI_BASE_URL, // unset = OpenAI
  maxConcurrency: 1, // run agents sequentially so output is readable
  onProgress: handleProgress,
})
 
const team = orchestrator.createTeam('api-team', {
  name: 'api-team',
  agents: [architect, developer, reviewer],
  sharedMemory: true,
  maxConcurrency: 1,
})
 
console.log(`Team "${team.name}" created with agents: ${team.getAgents().map(a => a.name).join(', ')}`)
console.log('\nStarting team run...\n')
console.log('='.repeat(60))
 
const goal = `Create a minimal Express.js REST API in ${OUTPUT_DIR}/ with:
- GET  /health       → { status: "ok" }
- GET  /users        → returns a hardcoded array of 2 user objects
- POST /users        → accepts { name, email } body, logs it, returns 201
- Proper error handling middleware
- The server should listen on port 3001
- Include a package.json with the required dependencies`
 
const result = await orchestrator.runTeam(team, goal)
 
console.log('\n' + '='.repeat(60))
 
// ---------------------------------------------------------------------------
// Results
// ---------------------------------------------------------------------------
 
console.log('\nTeam run complete.')
console.log(`Success: ${result.success}`)
console.log(`Total tokens — input: ${result.totalTokenUsage.input_tokens}, output: ${result.totalTokenUsage.output_tokens}`)
 
console.log('\nPer-agent results:')
for (const [agentName, agentResult] of result.agentResults) {
  const status = agentResult.success ? 'OK' : 'FAILED'
  const tools = agentResult.toolCalls.length
  console.log(`  ${agentName.padEnd(12)} [${status}]  tool_calls=${tools}`)
  if (!agentResult.success) {
    console.log(`    Error: ${agentResult.output.slice(0, 120)}`)
  }
}
 
// Print the developer's final output (the actual code) as a sample
const developerResult = result.agentResults.get('developer')
if (developerResult?.success) {
  console.log('\nDeveloper output (last 600 chars):')
  console.log('─'.repeat(60))
  const out = developerResult.output
  console.log(out.length > 600 ? '...' + out.slice(-600) : out)
  console.log('─'.repeat(60))
}
 
// Print the reviewer's findings
const reviewerResult = result.agentResults.get('reviewer')
if (reviewerResult?.success) {
  console.log('\nReviewer output:')
  console.log('─'.repeat(60))
  console.log(reviewerResult.output)
  console.log('─'.repeat(60))
}