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LLM

Implement multi-turn chat completions with system prompts via the z-ai-web-dev-sdk.

Updated Aug 27, 2026
Search Tags:#backend#llm#sdk#chat#ai-assistant#conversations#context-management
One-click install
npx skills add https://github.com/josinesprados-hub/vita-zen --skill llm-josinesprados-hub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/josinesprados-hub/vita-zen/tree/main/vita-zen-src/vita-zen-main/skills/LLM
Command: npx skills add https://github.com/josinesprados-hub/vita-zen --skill llm-josinesprados-hub

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, context-aware chat and content-generation capabilities using large language models via the z-ai-web-dev-sdk for building conversational AI applications, chatbots, and assistants.

Core Features & Use Cases

  • Multi-turn conversations with context management and system prompts.
  • SDK-first integration for production-grade chat applications and content generation workflows.
  • CLI-guided testing and rapid prototyping with included scripts such as scripts/chat.ts.

Quick Start

Install the z-ai-web-dev-sdk, initialize the SDK, and run a multi-turn chat using the included scripts to see context-aware responses.

Frequently Asked Questions about LLM

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

FAQPage Schema
How do I build a backend chatbot with multi-turn context management?▼

You can implement multi-turn conversations with context management using this Skill's backend scripts. It leverages the z-ai-web-dev-sdk to process message histories and system prompts, enabling context-aware chat completions for customer support bots and virtual assistants.

How do I test context-aware chat completions during development?▼

Test context-aware chat completions by running the included CLI-guided scripts like scripts/chat.ts. These scripts provide rapid prototyping for multi-turn conversations, allowing you to verify system prompts and context memory before production deployment.

Does the z-ai-web-dev-sdk support system prompts for virtual assistants?▼

Yes, the z-ai-web-dev-sdk supports system prompts for virtual assistants. This Skill utilizes the SDK to handle system prompts and message histories, enabling context-aware conversations and thinking controls for production-grade chat applications.

What is the best way to add conversational memory to an AI assistant?▼

The best way to add conversational memory to an AI assistant is through SDK-first backend integration that tracks message histories. This Skill uses the z-ai-web-dev-sdk to maintain context of prior turns and apply system prompts for context-aware chat completions.

Can I use this Skill for content generation workflows without a frontend?▼

Yes, you can use this Skill for content generation workflows without a frontend. It provides backend-only usage of the z-ai-web-dev-sdk for chat completions, allowing you to generate content using system prompts and message histories via CLI scripts.

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