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adapter-ops

Manage LLM and embedding adapters in unstract/sdk1.

7.1k|700|Updated Feb 21, 2024
Search Tags:#integration#llm#configuration#provider management#adapter#embedding
One-click install
npx skills add https://github.com/Zipstack/unstract --skill adapter-ops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adapter-ops
Source: https://github.com/Zipstack/unstract/tree/main/.claude/skills/adapter-ops
Command: npx skills add https://github.com/Zipstack/unstract --skill adapter-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of adding, removing, and configuring LLM and embedding adapters within the unstract/sdk1 module, ensuring compatibility and efficient integration of various AI models.

Core Features & Use Cases

  • Adapter Management: Add new LLM or embedding adapters, remove existing ones, and manage model configurations.
  • Configuration Support: Supports OpenAI-compatible providers, cloud providers (AWS Bedrock, VertexAI, Azure), and self-hosted models (Ollama).
  • Use Case: When your project needs to integrate with a new LLM provider like Mistral AI, use this Skill to quickly scaffold the necessary adapter code, configure its parameters, and ensure it's recognized by the system.

Quick Start

Initialize a new LLM adapter for the 'mistral' provider with the name 'Mistral AI' and description 'Mistral Large models'.

Frequently Asked Questions about adapter-ops

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

FAQPage Schema
How do I add a new LLM adapter for a custom provider like Mistral AI?▼

To add an LLM adapter for Mistral AI, use this Skill to scaffold the necessary adapter code, configure its parameters, and ensure the system recognizes it. It streamlines adding new provider integrations within the unstract/sdk1 module.

Can I configure embedding adapters for self-hosted models like Ollama?▼

Yes, you can configure embedding adapters for self-hosted models like Ollama. This Skill supports managing provider integrations for both cloud and self-hosted AI services, allowing you to edit adapter parameters for various embedding models.

What is the best way to manage provider configurations for AWS Bedrock and Azure?▼

The best way to manage provider configurations for AWS Bedrock and Azure is by using this adapter management Skill. It provides scripts and workflows to add, remove, and configure models for cloud providers within your SDK environment.

Does this adapter management Skill support OpenAI-compatible providers?▼

Yes, this adapter management Skill fully supports OpenAI-compatible providers. It facilitates maintainability and expansion of AI model connectivity by providing dedicated configuration support for these integration standards.

How do I remove existing LLM adapters from my unstract/sdk1 project?▼

To remove existing LLM adapters from your unstract/sdk1 project, utilize the adapter management scripts provided by this Skill. It enables seamless removal of existing adapters to maintain efficient integration of AI models.

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