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AnswerZhao
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LLM

Orchestrate multi-turn LLM chat completions with the z-ai-web-dev-sdk in Node.js.

26|15|Updated Dec 25, 2025
Search Tags:#backend#llm#chat#multi-turn#conversational-ai#context-management#z-ai-web-dev-sdk
One-click install
npx skills add https://github.com/AnswerZhao/agent-skills --skill llm-answerzhao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/AnswerZhao/agent-skills/tree/main/glm-skills/LLM
Command: npx skills add https://github.com/AnswerZhao/agent-skills --skill llm-answerzhao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

This skill enables developers to build robust multi-turn LLM chat experiences by orchestrating prompts, messages, and responses through the z-ai-web-dev-sdk, enabling scalable conversational AI workflows.

Core Features & Use Cases

  • Backend-grade conversation management: manage context, system prompts, and multi-turn history for chatbots and AI assistants.
  • Flexible usage patterns: supports streaming, system prompts, and per-message thinking configurations to fit various bot workflows.
  • Use Case: Build a customer-support chatbot that maintains context across dozens of turns and adapts to user intents in real time.

Quick Start

See the scripts/chat.ts example in the skill's scripts directory to get started quickly. Install the z-ai-web-dev-sdk package and run the sample in Node.js to observe multi-turn chat completion.

Frequently Asked Questions about LLM

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build multi-turn LLM chat with context management in a Node.js backend?▼

The z-ai-web-dev-sdk supports multi-turn chat experiences with flexible usage patterns including streaming responses, system prompts, and per-message thinking configurations to fit various bot workflows.

Can I use streaming responses for conversational AI workflows with z-ai-web-dev-sdk?▼

Yes, the z-ai-web-dev-sdk supports streaming completions alongside system prompts and per-message thinking configurations, enabling adaptable real-time customer-support chatbot workflows in backend services.

What do I need to set up before implementing context-aware conversations using z-ai-web-dev-sdk?▼

You need a Node.js environment and the z-ai-web-dev-sdk package installed to run the sample scripts and manage system prompts and multi-turn conversation history for backend-grade conversation management.

How does backend conversation management handle multi-turn chat history for AI assistants?▼

Backend conversation management orchestrates prompts, messages, and responses through the z-ai-web-dev-sdk, maintaining context and system prompts to adapt to user intents across dozens of turns in AI assistants.

Why does my multi-turn chat completion script fail during error handling?▼

Your multi-turn chat completion script might fail if the Node.js environment is missing or the z-ai-web-dev-sdk package is not installed; the skill includes scripts demonstrating completions, streaming, and error handling to prevent issues.

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