Managing various LLM provider accounts, subscriptions, and cost can get cumbersome for many organizations in a world where multiple LLMs are used. To avoid this, you can use what can be called a
AI traffic that goes through enterprise systems should include everything from servers, cloud environments, and even laptops, desktops, and mobile devices. This level of observability and security isn't "new"
If you're using an Agent that you built, a pre-built Agent (Claude Code, Ollama locally, etc.), or a provider-based Agentic UI (Gemini, ChatGPT, etc.), the question is - how do
Ensuring that Agents have the proper tools and information they need to perform a specialized action on behalf of a user or a system will be necessary for AI to meet the needs
Although the idea around Agents, MCP Servers, and Agentic workflows is just about all everyone is talking about, it's important to remember that this cohort of work has only been around
