A full walkthrough registering Amazon Bedrock as a provider and attaching its native guardrail to a WSO2 AI Gateway, with both requests and responses validated.
Learn how to write OpenAPI specs that AI agents can use, with clear descriptions, unique operationIds, complete schemas, and agent metadata extensions.
Learn what an API catalog is, how it differs from an API portal and an API registry, and how to build one that serves both developers and AI agents.
Learn how the Arazzo specification describes multi-step API workflows and how to turn one into a single MCP tool for AI agents, governed by the WSO2 AI Gateway.
Learn how to build a real-time notification system with WebSocket APIs. Import an AsyncAPI definition and deploy a WebSocket API proxy on WSO2 API Platform.
Block prompt injection and unsafe LLM requests before they reach the model. Chain content length, word count, regex, and semantic prompt guard on the WSO2 AI Gateway.
Learn what an MCP registry is and how to build one. Publish MCP servers to a governed catalog with WSO2, then discover and connect to them from Claude Desktop.
Learn how to catch breaking API changes with diff tooling, version them with semver, and communicate deprecations using sunset headers.
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 MCP server authentication works: OAuth 2.1 with PKCE, token validation, the confused-deputy problem, and delegating auth to an identity provider. With examples.
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.
A practical guide to MCP implementations: architecture, official SDKs, reference/example servers, a step-by-step build, and a hands-on walkthrough governing an existing server with WSO2 AI Workspace.
What semantic caching is, how it works (embeddings + similarity), and how it cuts LLM cost and latency, plus best practices and gateway-level implementation.
Secure write-capable MCP tools at the gateway using access control, scope authorization, rate limiting, and Moesif analytics.
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.