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.
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
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 by a
As teams and the enterprise are figuring out various ways to secure traffic from Agents to LLMs, other Agents, or MCP Servers, what about the lowest barrier to entry? Someone's local
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
