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zeustriton
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LLM

Implement multi-turn chat workflows with the z-ai-web-dev-sdk in backend code.

Updated Jan 13, 2026
Search Tags:#typescript#backend#llm#conversational-ai#chat-completions#z-ai-web-dev-sdk
One-click install
npx skills add https://github.com/zeustriton/radarDigital_QA --skill llm-zeustriton
Or copy as Structured Prompt for Agentâ–¼
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/zeustriton/radarDigital_QA/tree/main/skills/LLM
Command: npx skills add https://github.com/zeustriton/radarDigital_QA --skill llm-zeustriton

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 implement robust, multi-turn AI chat experiences using the z-ai-web-dev-sdk to manage conversations, system prompts, and backend-driven completions.

Core Features & Use Cases

  • Multi-turn conversations with preserved context across turns.
  • System prompts to steer assistant behavior and role.
  • Backend-focused chat workflows for chatbots, virtual assistants, and customer-support agents.

Quick Start

Open the scripts/chat.ts to see a working example, customize the prompt, and run the script to observe a chat response using the z-ai-web-dev-sdk.

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 conversational AI with context management in TypeScript?â–¼

You can create multi-turn chatbot applications by running the provided TypeScript backend scripts. The Skill uses the z-ai-web-dev-sdk to handle chat completions, enabling context preservation and customized system prompts for virtual assistants.

Does this Skill support backend-only chat completions for customer support agents?â–¼

Yes, the Skill is designed for backend-only chat workflows, making it suitable for customer support agents. It uses the z-ai-web-dev-sdk within backend scripts to securely process multi-turn chat completions.

Can I use system prompts to steer chatbot behavior with the z-ai-web-dev-sdk?â–¼

Yes, you can steer chatbot behavior using system prompts via the z-ai-web-dev-sdk. The Skill provides backend scripts to define assistant roles and manage multi-turn context effectively.

What is the best way to implement multi-turn chat capabilities using TypeScript?â–¼

Implement multi-turn chat capabilities in TypeScript by utilizing the Skill's backend scripts. It applies the z-ai-web-dev-sdk to manage context and system prompts, offering a quick start example in the scripts directory.

Are there limitations to using z-ai-web-dev-sdk for multi-turn chat applications?â–¼

The main limitation is that the z-ai-web-dev-sdk is restricted to backend code only. The Skill provides backend scripts for chat completions but does not include frontend components for the conversational interface.

How do I customize chat responses for a virtual assistant in TypeScript?â–¼

To customize chat responses, open the scripts/chat.ts example, modify the system prompts, and run the TypeScript script. This demonstrates how the z-ai-web-dev-sdk processes backend chat completions for virtual assistants.

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