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
26 lines
656 B
TypeScript
Executable File
26 lines
656 B
TypeScript
Executable File
import ZAI from "z-ai-web-dev-sdk";
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import fs from "fs";
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async function main(text: string, outFile: string) {
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try {
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const zai = await ZAI.create();
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const response = await zai.audio.tts.create({
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input: text,
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voice: "tongtong",
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speed: 1.0,
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response_format: "wav",
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stream: false,
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});
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const arrayBuffer = await response.arrayBuffer();
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const buffer = Buffer.from(new Uint8Array(arrayBuffer));
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fs.writeFileSync(outFile, buffer);
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console.log(`TTS audio saved to ${outFile}`);
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} catch (err: any) {
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console.error("TTS failed:", err?.message || err);
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}
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}
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main("Hello, world!", "./output.wav");
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