Why and how to run a self-hosted LLM gateway: open-source options, deployment (Docker/Kubernetes), data control, and SaaS vs self-hosted trade-offs.
How to redact PII before it reaches an LLM: detection with regex and NER, gateway-level filtering of prompts and responses, and compliance with GDPR, HIPAA, and PCI. Includes a complete, end-to-end WSO2 AI Workspace tutorial.
What LLM fallback is and how to implement it: fallback chains, retries with backoff, and circuit breakers, to keep AI apps running through provider outages.
Learn how to turn a REST API into an MCP server: map endpoints to tools, handle auth and schemas, and avoid the auto-convert trap. Step-by-step with examples.
What semantic caching is, how it works (embeddings + similarity), and how it cuts LLM cost and latency, plus best practices and gateway-level implementation.
Route every developer's Claude Code traffic through the WSO2 AI Gateway so you can track, throttle, and cap AI spend for your whole engineering org from one dashboard.