LLM

Launch LLM chat completions via z-ai-web-dev-sdk for conversational AI apps.

Updated Dec 26, 2025
One-click install
npx skills add https://github.com/yutaoshao/agent-skills --skill llm-yutaoshao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: LLM
Source: https://github.com/yutaoshao/agent-skills/tree/main/glm-skills/LLM
Command: npx skills add https://github.com/yutaoshao/agent-skills --skill llm-yutaoshao

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Implement large language model (LLM) chat completions to empower conversational AI applications, enabling multi-turn interactions, system prompts, and robust context management using the z-ai-web-dev-sdk.

Core Features & Use Cases

  • Multi-turn conversations with context handling and system prompts for chatbots, AI assistants, and customer support tools.
  • Content generation and automated workflows powered by LLM capabilities, including code-like prompts and guidance for production apps.
  • Real-world scenarios include building production-ready chat interfaces, personal assistants, and backend-integrated AI services.

Quick Start

Run a simple chat example by creating a ZAI instance and sending a user message to obtain a 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 chatbot conversations with system prompts?

Multi-turn chatbot conversations with system prompts are built by launching LLM chat completions via z-ai-web-dev-sdk, which handles context management and conversational AI interactions across backend workflows.

What's the best way to integrate LLM chat completions into a backend runtime?

Integrating LLM chat completions into a backend runtime requires using the z-ai-web-dev-sdk to instantiate a ZAI instance and send user messages, returning completions for production-ready backend AI services.

Do I need z-ai-web-dev-sdk installed to run LLM chatbot scripts?

Yes, you need the z-ai-web-dev-sdk installed and access to a backend runtime to execute LLM chatbot scripts, as the SDK provides the core functionality for launching chat completions and managing context.

Can I use this approach for content generation and automated workflows?

Yes, this approach supports content generation and automated workflows powered by LLM capabilities, enabling code-like prompts and guidance for production apps, personal assistants, and customer support tools.

Does the z-ai-web-dev-sdk support CLI usage and sample scripts for chatbots?

The z-ai-web-dev-sdk supports CLI, SDK usage, and sample scripts for building chatbots, allowing you to quickly run simple chat examples by creating a ZAI instance and sending user messages to obtain completions.

Why use z-ai-web-dev-sdk over other SDKs for conversational AI applications?

Using z-ai-web-dev-sdk for conversational AI applications provides robust context management, system prompt handling, and multi-turn interactions specifically designed for production-ready chat interfaces and backend-integrated AI services.