portkey-typescript-sdk

Integrating an AI gateway SDK into your Node.js backend enables LLM provider routing and failover by managing virtual keys, weight-based load balancing, and automated fallbacks across hundreds of providers.

The best way to cache LLM completions in TypeScript serverless applications is using a gateway SDK that applies caching layers to requests, reducing latency and operational costs for embeddings and chat completions.

Yes, this AI gateway observability tool is compatible with bun and pnpm, alongside standard npm and yarn package managers, fully supporting Node.js 18+ backend and serverless TypeScript projects.

You trace LLM request telemetry for debugging SLA monitoring by routing traffic through a gateway that automatically captures request and response telemetry, providing detailed traces across multiple LLM providers.

You can use virtual keys to load balance requests across multiple LLM providers by configuring a gateway client that applies weight-based routing policies and failover rules for your chat completions.

Building custom LLM gateway reliability in TypeScript requires your team to manually engineer observability, caching, and provider failover from scratch, whereas an SDK provides these production-grade features out of the box.