How does the skill handle conversation memory?

The skill provides implementation patterns for a ConversationManager that tracks message history, allowing the AI to remember previous interactions in a multi-turn session.

What is the benefit of the 'Thinking' parameter?

The thinking parameter enables chain-of-thought reasoning, which helps the LLM process complex logic, math, or technical problems more accurately before providing a final answer.

Is it possible to test prompts without writing a full script?

Yes, this skill includes CLI usage instructions that allow you to execute chat completions directly from your terminal for quick testing and simple automation.

Can I use this skill in the frontend of my web application?

No, the z-ai-web-dev-sdk is strictly designed for backend use only to ensure security and prevent the exposure of API credentials in client-side code.

LLM Chat Completions

Name: LLM Chat Completions
Author: ConstantineCTF

byConstantineCTF

Ciencia de Datos y ML

Integrates Large Language Model chat completions into backend applications using the z-ai-web-dev-sdk for advanced conversational AI and text generation.

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This skill provides a comprehensive framework for building sophisticated AI-driven features like chatbots, content generators, and data analysis tools within your project. By leveraging the z-ai-web-dev-sdk, developers can easily manage multi-turn conversation history, implement system-level personas, and utilize advanced reasoning features like chain-of-thought. Whether through a quick-access CLI for rapid testing or a robust SDK for production-ready backend services, this skill streamlines the process of adding intelligent, context-aware text generation to any software architecture.

Características Principales

Support for Chain-of-Thought (Thinking) reasoning for complex tasks
CLI tools for rapid prompt testing and automated one-off tasks
Streaming response support for real-time user interfaces
Multi-turn conversation history and context management
System prompt customization for specific AI personas and behaviors
0 GitHub stars

Casos de Uso

Developing specialized AI tools for code review, debugging, and data summarization
Building context-aware customer support chatbots and virtual assistants
Automating creative content generation for blogs, product descriptions, and emails

Acerca de

Características Principales

Support for Chain-of-Thought (Thinking) reasoning for complex tasks
CLI tools for rapid prompt testing and automated one-off tasks
Streaming response support for real-time user interfaces
Multi-turn conversation history and context management
System prompt customization for specific AI personas and behaviors
0 GitHub stars

Casos de Uso

Developing specialized AI tools for code review, debugging, and data summarization
Building context-aware customer support chatbots and virtual assistants
Automating creative content generation for blogs, product descriptions, and emails