Multi-Provider AI Configuration

Design and implement provider-agnostic LLM integrations that can route requests across Anthropic, AWS Bedrock, Google Vertex AI, and OpenRouter without changing application code. Covers selection criteria, credential management, unified client patterns, cost comparison, and failover routing. Grounded in Shannon's multi-provider abstraction, which supports all four providers behind a single agent executor interface.

When to Use This Skill

Use this skill for:

• Choosing between Anthropic direct, AWS Bedrock, Google Vertex AI, and OpenRouter
• Setting up credentials and environment variables for each provider
• Implementing a provider-agnostic client interface
• Designing fallback routing between providers
• Comparing costs across providers for production deployments
• Meeting enterprise requirements for cloud-native AI (Bedrock, Vertex)
• Avoiding vendor lock-in in long-running AI projects

Trigger phrases: "multi-provider Claude", "AWS Bedrock Claude", "Google Vertex Claude", "OpenRouter setup", "provider abstraction", "fallback LLM", "enterprise AI integration", "Bedrock vs Anthropic"

What This Skill Does