zeus-llm

Orchestrate deployment and configuration of local LLM inference servers for OpenCode.

1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/Aveer/OpenZeus --skill zeus-llm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zeus-llm
Source: https://github.com/Aveer/OpenZeus/tree/main/skills/zeus-llm
Command: npx skills add https://github.com/Aveer/OpenZeus --skill zeus-llm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies the complex setup and configuration of local LLM environments, including llama.cpp, llama-swap, and Ollama, ensuring seamless integration with OpenCode.

Core Features & Use Cases

  • Unified LLM Management: Standardizes the installation and operation of various local inference engines.
  • Proxy and Routing: Configures llama-swap to manage load balancing and fallback strategies for multiple backend models.
  • OpenCode Integration: Provides ready-to-use configuration templates for connecting local models to the OpenCode workspace.

Quick Start

Use the zeus-llm skill to configure the llama.cpp server for local model inference.

Frequently Asked Questions about zeus-llm

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

FAQPage Schema
How do I configure a local LLM inference server for OpenCode?

This Skill orchestrates local LLM inference servers like llama.cpp and Ollama to integrate with OpenCode. It provides ready-to-use configuration templates and proxy routing to connect local model backends into your workspace through standardized, OpenAI-compatible API endpoints.

What is the best way to manage load balancing across multiple local LLM models?

To manage load balancing across local LLM models, this Skill configures llama-swap proxy routing. It sets up fallback strategies and balances requests across multiple backend models, ensuring high-performance local model execution without manual routing intervention.

Can I use Ollama and llama.cpp together in the same local LLM environment?

Yes, you can use Ollama and llama.cpp together. This Skill provides unified LLM management that standardizes the installation and operation of various local inference engines, allowing you to operate them side-by-side within the same local infrastructure.

How do I expose local models through an OpenAI-compatible API?

You can expose local models through an OpenAI-compatible API by configuring proxy routing via this Skill. It sets up standardized API endpoints for your local model backends, ensuring OpenAI-compatible API compatibility for downstream applications.

Does OpenCode work with local LLM backends?

Yes, OpenCode works with local LLM backends. This Skill facilitates seamless integration by providing ready-to-use configuration templates that connect local inference engines like Ollama and llama.cpp directly to the OpenCode workspace.