Building and Storing Agent Skills
Extendable capabilities within any Agentic framework is key to a quality and performant output of an Agent. Whether you're writing code, designing a new logo for your product, or architecting a
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
Creating Your First Agent Skill: A Hands-On Tutorial
Accuracy and quality of output from an Agent is the make or break between what's truly usable across the enterprise and what's simply a toy. Aside from taking the