2380d33861
- Context Compaction System with token counting and summarization - Deterministic State Machine for flow control (no LLM decisions) - Parallel Execution Engine (up to 12 concurrent sessions) - Event-Driven Coordination via Event Bus - Agent Workspace Isolation (tools, memory, identity, files) - YAML Workflow Integration (OpenClaw/Lobster compatible) - Claude Code integration layer - Complete demo UI with real-time visualization - Comprehensive documentation and README Components: - agent-system/: Context management, token counting, subagent spawning - pipeline-system/: State machine, parallel executor, event bus, workflows - skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.) - src/app/: Next.js demo application Total: ~100KB of production-ready TypeScript code
38 lines
739 B
TypeScript
Executable File
38 lines
739 B
TypeScript
Executable File
import ZAI from 'z-ai-web-dev-sdk';
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interface PageReaderFunctionResult {
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code: number;
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data: {
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html: string;
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publishedTime?: string;
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title: string;
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url: string;
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usage: {
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tokens: number;
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};
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};
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meta: {
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usage: {
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tokens: number;
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};
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};
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status: number;
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}
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async function main(url: string) {
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try {
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const zai = await ZAI.create();
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const results: PageReaderFunctionResult = await zai.functions.invoke('page_reader', {
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url: url
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});
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console.log('Web reader invocation succeeded. Results:');
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console.log(JSON.stringify(results, null, 2));
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} catch (err: any) {
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console.error('page_reader failed:', err?.message || err);
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}
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}
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main('https://www.google.com');
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