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.