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reverb256
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ai-gateway-manager

Manage AI inference gateway status, API endpoints, and model configuration.

Updated Jul 1, 2026
Search Tags:#troubleshooting#API testing#AI inference#model configuration#gateway management#LM Studio
One-click install
npx skills add https://github.com/reverb256/hermes-skills --skill ai-gateway-manager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-gateway-manager
Source: https://github.com/reverb256/hermes-skills/tree/main/ai-gateway-manager
Command: npx skills add https://github.com/reverb256/hermes-skills --skill ai-gateway-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the management of the AI inference gateway and LM Studio, providing tools for monitoring, configuration, and troubleshooting.

Core Features & Use Cases

  • Gateway Status: Check the status of the AI inference gateway.
  • MCP Server Management: Add, configure, and manage MCP servers.
  • API Endpoint Testing: Test API endpoints for OpenAI compatibility.
  • Model Configuration: Configure backend models for AI inference.
  • Troubleshooting: Diagnose and resolve issues with the ai-inference-gateway service.
  • Use Case: When you need to ensure that your AI inference gateway is running smoothly and that your models are correctly configured, use this skill to perform health checks, restart services, and configure settings.

Quick Start

Use the ai-gateway-manager skill to check the status of the AI inference gateway.

Frequently Asked Questions about ai-gateway-manager

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

FAQPage Schema
How do I check the status of my AI inference gateway?▼

To check the AI inference gateway status, use this Skill to perform a health check on the running service. It queries the gateway directly to verify if the system is active and responding correctly.

How do I test OpenAI compatible API endpoints in LM Studio?▼

You can test OpenAI compatible API endpoints by using the API endpoint testing tools provided. This validates your LM Studio configuration and ensures the backend models receive requests correctly.

How do I add and configure MCP servers for AI inference?▼

You can add and configure MCP servers through the MCP server management functionality. This allows you to aggregate MCP servers and manage backend model configurations within the gateway.

Why is my ai-inference-gateway service not working?▼

If your ai-inference-gateway service is not working, use the troubleshooting and diagnostic tools to identify the issue. You can then restart services and reconfigure settings to resolve the fault.

Can I manage backend model configuration for LM Studio remotely?▼

Yes, you can manage backend model configuration for LM Studio through the gateway. This Skill provides configuration tools to adjust model settings and ensure correct inference routing.

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