model-failover

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.

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.

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.

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.

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.

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.