model-failover

Name: model-failover
Availability: InStock
Author: winsorllc

Automatically fail over LLM API requests across Anthropic, OpenAI, and Google providers.

1|Updated Feb 25, 2026

Search Tags:#api #llm #resilience #failover #chatbot #provider

Ready to run

npx skills add https://github.com/winsorllc/upgraded-carnival --skill model-failover

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: model-failover
Source: https://github.com/winsorllc/upgraded-carnival/tree/main/.pi/skills/model-failover
Command: npx skills add https://github.com/winsorllc/upgraded-carnival --skill model-failover

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the unreliability of individual Large Language Model (LLM) providers by automatically switching to a backup provider when the primary one fails, ensuring continuous operation.

Core Features & Use Cases

Automatic Failover: Switches between configured LLM providers (e.g., Anthropic, OpenAI, Google) if one becomes unresponsive or returns an error.
Configurable Chains: Allows users to define a prioritized list of LLM providers and their specific models.
Health Monitoring: Tracks provider failures to indicate potential issues.
Use Case: A customer support chatbot powered by an LLM can maintain service even if OpenAI's API experiences an outage, by seamlessly switching to Anthropic's Claude.

Quick Start

Use the model-failover skill to chat with your configured LLM providers, sending the message "What is the weather today?".

Frequently Asked Questions about model-failover

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

FAQPage Schema

How do I set up automatic failover for LLM API requests across multiple providers?▼

Automatic LLM API failover is configured by defining a prioritized list of providers like Anthropic, OpenAI, and Google. The system switches to the next provider in the chain automatically when the primary one becomes unresponsive or returns an error.

Can I configure custom endpoints and rate limiting for my LLM provider fallback chain?▼

Yes, custom endpoints and rate limiting configurations are supported for your LLM provider fallback chain. This allows you to manage how requests are distributed and throttled across different providers during high traffic or outages.

How does LLM failover handle health monitoring and provider failures?▼

LLM failover health monitoring tracks provider failures and retries to indicate potential API issues. It counts failures to determine if a provider is unhealthy and automatically reroutes traffic to maintain robust AI service availability.

What is the best way to keep a chatbot running when an LLM provider like OpenAI experiences an outage?▼

The best way to maintain chatbot availability during an LLM provider outage is implementing an automatic fallback chain. If OpenAI fails, the system seamlessly switches requests to a backup provider like Anthropic's Claude.

Do I need to manually switch models when my primary LLM API becomes unresponsive?▼

No, you do not need to manually switch models when a primary LLM API becomes unresponsive. The failover mechanism automatically manages retries and switches to the next configured provider in your prioritized chain.

Does automatic LLM failover work with any specific AI providers?▼

Automatic LLM failover works with multiple providers including Anthropic, OpenAI, and Google. You can configure a prioritized list of these providers and their specific models to ensure continuous AI service operation.