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
28 lines
650 B
TypeScript
Executable File
28 lines
650 B
TypeScript
Executable File
import ZAI from 'z-ai-web-dev-sdk';
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import fs from 'fs';
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import path from 'path';
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async function main(inputFile: string) {
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if (!fs.existsSync(inputFile)) {
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console.error(`Audio file not found: ${inputFile}`);
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return;
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}
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try {
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const zai = await ZAI.create();
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const audioBuffer = fs.readFileSync(inputFile);
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const file_base64 = audioBuffer.toString('base64');
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const result = await zai.audio.asr.create({ file_base64 });
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console.log('Transcription result:');
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console.log(result.text ?? JSON.stringify(result, null, 2));
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} catch (err: any) {
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console.error('ASR failed:', err?.message || err);
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}
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}
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main('./output.wav');
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