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https://github.com/JackChen-me/open-multi-agent.git
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JackChen
ffec13e915
Examples grew to 19 flat files mixing basics, provider demos, orchestration patterns, and integrations, with two files colliding on the number 16. Reorganized into category folders so the structure scales as new providers and patterns get added. Layout: examples/basics/ core execution modes (4 files) examples/providers/ one example per supported model provider (8 files) examples/patterns/ reusable orchestration patterns (6 files) examples/integrations/ MCP, observability, AI SDK (3 entries) examples/production/ placeholder for end-to-end use cases Notable changes: - Dropped numeric prefixes; folder + filename now signal category and intent. - Rewrote former smoke-test scripts (copilot, gemini) into proper three-agent team examples matching the deepseek/grok/minimax/groq template. Adapter unit tests in tests/ already cover correctness, so this only improves documentation quality. - Added examples/README.md as the categorized index plus maintenance rules for new submissions. - Added examples/production/README.md with acceptance criteria for the new production category. - Updated all internal npx tsx paths and import paths (../src/ to ../../src/). - Updated README.md and README_zh.md links. - Fixed stale cd paths inside examples/integrations/with-vercel-ai-sdk/README.md.
74 lines
2.8 KiB
TypeScript
74 lines
2.8 KiB
TypeScript
/**
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* Structured Output
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*
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* Demonstrates `outputSchema` on AgentConfig. The agent's response is
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* automatically parsed as JSON and validated against a Zod schema.
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* On validation failure, the framework retries once with error feedback.
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*
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* The validated result is available via `result.structured`.
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*
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* Run:
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* npx tsx examples/patterns/structured-output.ts
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*
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* Prerequisites:
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* ANTHROPIC_API_KEY env var must be set.
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*/
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import { z } from 'zod'
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import { OpenMultiAgent } from '../../src/index.js'
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import type { AgentConfig } from '../../src/types.js'
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// ---------------------------------------------------------------------------
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// Define a Zod schema for the expected output
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// ---------------------------------------------------------------------------
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const ReviewAnalysis = z.object({
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summary: z.string().describe('One-sentence summary of the review'),
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sentiment: z.enum(['positive', 'negative', 'neutral']),
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confidence: z.number().min(0).max(1).describe('How confident the analysis is'),
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keyTopics: z.array(z.string()).describe('Main topics mentioned in the review'),
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})
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type ReviewAnalysis = z.infer<typeof ReviewAnalysis>
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// ---------------------------------------------------------------------------
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// Agent with outputSchema
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// ---------------------------------------------------------------------------
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const analyst: AgentConfig = {
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name: 'analyst',
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model: 'claude-sonnet-4-6',
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systemPrompt: 'You are a product review analyst. Analyze the given review and extract structured insights.',
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outputSchema: ReviewAnalysis,
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}
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// ---------------------------------------------------------------------------
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// Run
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// ---------------------------------------------------------------------------
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const orchestrator = new OpenMultiAgent({ defaultModel: 'claude-sonnet-4-6' })
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const reviews = [
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'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.',
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'Terrible experience. The product arrived broken, customer support was unhelpful, and the return process took 3 weeks.',
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'It works fine. Nothing special, nothing bad. Does what it says on the box.',
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]
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console.log('Analyzing product reviews with structured output...\n')
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for (const review of reviews) {
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const result = await orchestrator.runAgent(analyst, `Analyze this review: "${review}"`)
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if (result.structured) {
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const data = result.structured as ReviewAnalysis
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console.log(`Sentiment: ${data.sentiment} (confidence: ${data.confidence})`)
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console.log(`Summary: ${data.summary}`)
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console.log(`Topics: ${data.keyTopics.join(', ')}`)
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} else {
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console.log(`Validation failed. Raw output: ${result.output.slice(0, 100)}`)
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}
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console.log(`Tokens: ${result.tokenUsage.input_tokens} in / ${result.tokenUsage.output_tokens} out`)
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console.log('---')
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}
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