hermes-custom-providers

Configure custom LLM provider endpoints and troubleshoot authentication in Hermes.

Updated May 13, 2026
One-click install
npx skills add https://github.com/skkeoriw/hermes-brain --skill hermes-custom-providers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-custom-providers
Source: https://github.com/skkeoriw/hermes-brain/tree/main/brain/hermes-home/skills/devops/hermes-custom-providers
Command: npx skills add https://github.com/skkeoriw/hermes-brain --skill hermes-custom-providers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the configuration and troubleshooting of custom LLM providers in Hermes, enabling seamless integration of OpenAI-compatible proxies, Claude-compatible APIs, Gemini endpoints, and multi-format proxies.

Core Features & Use Cases

  • Configure Custom Providers: Integrate non-standard LLM provider endpoints into Hermes' configuration.
  • Troubleshoot API Issues: Diagnose and resolve authentication and endpoint problems for LLM providers.
  • Use Cases: Ideal for adding new providers not included in Hermes' default list, setting up proxies for multiple model families, and specifying custom base URLs for existing models.

Quick Start

Use the hermes-custom-providers skill to add a new OpenAI-compatible proxy to Hermes by running the command: hermes config set model.provider CustomOpenAI --model gpt-4-turbo

Frequently Asked Questions about hermes-custom-providers

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

FAQPage Schema
How do I configure a custom LLM provider endpoint in Hermes?

To configure a custom LLM provider endpoint in Hermes, run `hermes config set model.provider CustomOpenAI --model gpt-4-turbo` to integrate non-standard endpoints like OpenAI-compatible proxies into your configuration.

Can I use Hermes with Claude and Gemini custom endpoints?

Yes, Hermes supports Claude-compatible APIs and Gemini endpoints alongside OpenAI-compatible proxies and multi-format proxies, allowing you to manage multiple custom LLM provider configurations within a single environment.

How do I troubleshoot LLM provider authentication and endpoint issues in Hermes?

You can troubleshoot LLM provider authentication and endpoint issues in Hermes by diagnosing API configurations to resolve non-standard provider connection problems and ensure seamless integration with your custom base URLs.

Do I need Python to set up custom LLM providers in Hermes?

Yes, you need Python installed along with a configured Hermes environment to set up custom LLM providers, as managing endpoint configurations and troubleshooting authentication requires Python dependencies.

Why is my custom OpenAI-compatible proxy not working with Hermes?

Your custom OpenAI-compatible proxy may not work due to incorrect authentication settings or invalid endpoint base URLs, requiring endpoint troubleshooting to diagnose and resolve the provider configuration issues.