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
33 lines
758 B
TypeScript
Executable File
33 lines
758 B
TypeScript
Executable File
import ZAI, { ChatMessage } from "z-ai-web-dev-sdk";
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async function main(prompt: string) {
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try {
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const zai = await ZAI.create();
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const messages: ChatMessage[] = [
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{
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role: "assistant",
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content: "Hi, I'm a helpful assistant."
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},
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{
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role: "user",
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content: prompt,
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},
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];
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const response = await zai.chat.completions.create({
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messages,
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stream: false,
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thinking: { type: "disabled" },
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});
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const reply = response.choices?.[0]?.message?.content;
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console.log("Chat reply:");
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console.log(reply ?? JSON.stringify(response, null, 2));
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} catch (err: any) {
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console.error("Chat failed:", err?.message || err);
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}
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}
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main('What is the capital of France?');
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