← 全部示例
// 生产控制
结构化输出
演示 AgentConfig 上的 outputSchema:智能体的回复会被自动解析为 JSON 并按 Zod schema 校验;校验失败时框架带着错误反馈重试一次。
01 运行
OMA API
OpenMultiAgent在仓库的克隆里运行这个文件:
npx tsx packages/core/examples/patterns/structured-output.ts
前置条件
- ANTHROPIC_API_KEY env var must be set.
OMA 与 provider 无关——这个示例按上面的 key 编写,但你也可以用 OpenAI、Gemini、Groq 等任意 provider 运行。 全部 provider →
展开完整同步源码 · 73 行
完整示例,从固定的 Framework commit 同步。
/*** Structured Output** Demonstrates `outputSchema` on AgentConfig. The agent's response is* automatically parsed as JSON and validated against a Zod schema.* On validation failure, the framework retries once with error feedback.** The validated result is available via `result.structured`.** Run:* npx tsx packages/core/examples/patterns/structured-output.ts** Prerequisites:* ANTHROPIC_API_KEY env var must be set.*/import { z } from 'zod'import { OpenMultiAgent } from '../../src/index.js'import type { AgentConfig } from '../../src/types.js'// ---------------------------------------------------------------------------// Define a Zod schema for the expected output// ---------------------------------------------------------------------------const ReviewAnalysis = z.object({summary: z.string().describe('One-sentence summary of the review'),sentiment: z.enum(['positive', 'negative', 'neutral']),confidence: z.number().min(0).max(1).describe('How confident the analysis is'),keyTopics: z.array(z.string()).describe('Main topics mentioned in the review'),})type ReviewAnalysis = z.infer<typeof ReviewAnalysis>// ---------------------------------------------------------------------------// Agent with outputSchema// ---------------------------------------------------------------------------const analyst: AgentConfig = {name: 'analyst',model: 'claude-sonnet-4-6',systemPrompt: 'You are a product review analyst. Analyze the given review and extract structured insights.',outputSchema: ReviewAnalysis,}// ---------------------------------------------------------------------------// Run// ---------------------------------------------------------------------------const orchestrator = new OpenMultiAgent({ defaultModel: 'claude-sonnet-4-6' })const reviews = ['This keyboard is amazing! The mechanical switches feel incredible and the RGB lighting is stunning. Build quality is top-notch. Only downside is the price.','Terrible experience. The product arrived broken, customer support was unhelpful, and the return process took 3 weeks.','It works fine. Nothing special, nothing bad. Does what it says on the box.',]console.log('Analyzing product reviews with structured output...\n')for (const review of reviews) {const result = await orchestrator.runAgent(analyst, `Analyze this review: "${review}"`)if (result.structured) {const data = result.structured as ReviewAnalysisconsole.log(`Sentiment: ${data.sentiment} (confidence: ${data.confidence})`)console.log(`Summary: ${data.summary}`)console.log(`Topics: ${data.keyTopics.join(', ')}`)} else {console.log(`Validation failed. Raw output: ${result.output.slice(0, 100)}`)}console.log(`Tokens: ${result.tokenUsage.input_tokens} in / ${result.tokenUsage.output_tokens} out`)console.log('---')}
// 企业服务
要把它用到生产环境?
open-multi-agent 采用 MIT 许可、可自行免费运行。当你需要在期限内交付、集成,或获得支持时,元定义科技(YuanASI)提供商业交付与支持。