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
31 lines
585 B
JSON
Executable File
31 lines
585 B
JSON
Executable File
{
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"name": "podcast-generate-online",
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"version": "1.0.0",
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"description": "Generate podcast audio from text using z-ai LLM and TTS",
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"type": "module",
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"main": "dist/index.js",
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"scripts": {
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"generate": "tsx generate.ts",
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"build": "tsc",
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"prepublishOnly": "npm run build"
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},
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"keywords": [
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"podcast",
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"tts",
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"llm",
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"z-ai"
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],
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"license": "MIT",
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"dependencies": {
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"z-ai-web-dev-sdk": "*"
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},
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"devDependencies": {
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"@types/node": "^20",
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"tsx": "^4.7.0",
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"typescript": "^5.3.0"
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},
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"engines": {
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"node": ">=18.0.0"
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}
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}
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