Show HN: In memory AI gateway with capability based routing (github.com)

A new library called "ai-gateway-kit" has been introduced to address key challenges in utilizing large language models (LLMs) within Node.js applications. This provider-agnostic AI Gateway simplifies the management of LLM deployments through features like capability-based routing, which allows agents to request specific capabilities such as "fast_text" or "deep_reasoning" instead of being tied to particular model names. Additional enhancements include ordered fallback for graceful degradation, in-memory rate limiting tailored for instance-specific operation, and observability hooks that enable custom logging and metrics tracking. This toolkit is significant for the AI/ML community as it facilitates smoother integration and flexibility in adopting various models from different providers while maintaining system stability. Key technical aspects include its compatibility with serverless environments, where it avoids shared storage dependencies, and offers predictable failure modes. Developers can customize rate limiting and routing logic as necessary, making the ai-gateway-kit a versatile solution for managing complex AI workload deployments. For those looking to explore its capabilities, comprehensive examples demonstrate its potential applications, from basic setups to multi-provider integrations and observability.