multi-provider-fallback

What problem does it solve?

This Skill solves the problem of vendor lock-in and unreliability with AI model providers, ensuring your application remains functional even if one provider experiences an outage or performance degradation.

Core Features & Use Cases

• Provider Abstraction: Unified interface for multiple AI models (Anthropic, Bedrock, OpenAI, Gemini, image generators).
• Automatic Fallback: Seamlessly switches to a backup provider if the primary one fails.
• Parallel Execution: Runs multiple providers simultaneously for consensus or to find the best result.
• Result Synthesis: Merges outputs from multiple providers into a single, coherent response.
• Image Generation Routing: Directs image generation tasks to the most suitable provider based on task type.
• Use Case: Ensure your AI-powered customer support chatbot remains available by automatically falling back to a secondary LLM provider if the primary one becomes unresponsive.

Quick Start

Use the multi-provider-fallback skill to call the 'reasoning' model preset, falling back to a secondary provider if the first fails.