Implementing Multi-Region Agents, MCP Servers, and LLMs
Having an Agent run, whether it's on your local system (e.g - Claude Code) or in a k8s cluster, is now table stakes. Everyone from engineers to people in other
agentgateway
Running OpenClaw on Kubernetes
The "new and exciting" way of interacting with Agents is the personal assistant method (from iMessage, WhatsApp, or whatever else) and this interest is taking the industry by storm. OpenAI "
Route and Secure OpenAI Azure Foundry Traffic Through Your AI Gateway
As you begin to expland into various Agentic frameworks, there's a good chance you will end up choosing the one that exists within the cloud provider you're already using.
Prompt Enrichment with Agentgateway: Injecting Context at the Gateway Layer
Quality output from an LLM is the make-or-break between a task that performs well and a hallucination. The level of accuracy that's output is top of mind for everyone using Agents.
Intercept, Inspect, Secure: Proxying Claude Code CLI Traffic
Architecture diagrams always look something like this:
Agent -> Gateway -> LLM (or MCP Server).
The Agents that organizations are typically referring to are Agents that perform an action via prompts