Using Amazon Bedrock as an LLM Provider and Bedrock Guardrails with WSO2 AI Gateway
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.
OpenAPI for AI Agents: Write Specs Agents Can Use
Learn how to write OpenAPI specs that AI agents can use, with clear descriptions, unique operationIds, complete schemas, and agent metadata extensions.
Building and Managing an API Catalog
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.
AI API vs Traditional API: What's Actually Different
AI-powered APIs don't follow the same request-response flow as traditional REST APIs. Here's precisely what changes, and why it matters.
Multi-Step MCP Tools: How to Order API Calls with Arazzo
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.
Building LLM-Backed APIs: A Practical Architecture Guide
Architecture patterns for production LLM-backed APIs: request design, streaming, retries, fallback chains, caching, and cost control.
Vertical AI API Strategy: Building Domain-Specific AI APIs
How to architect, expose, and govern vertical AI as APIs: the layers, the tradeoffs, and where general-purpose AI stops being enough.
AI Gateway Guardrails for LLMs: Block Prompt Injection and Unsafe Requests
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.
MCP Registry: How to Build a Governed Catalog for MCP Servers
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.
Self-Hosted LLM Gateway: Open-source options and how to deploy one
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.
PII Redaction for LLMs: How to Do It Right
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.
LLM Fallback: How to Build Resilient AI Applications
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.
REST API to MCP Server: A Practical Guide
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.
Semantic Caching for LLMs: Cut Cost & Latency
What semantic caching is, how it works (embeddings + similarity), and how it cuts LLM cost and latency, plus best practices and gateway-level implementation.
Controlling Claude Code AI Costs Across a Large Engineering Team with the AI Gateway and AI Workspace
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.
The open, universal platform for managing every API and AI service at scale. 100% open source.