Brief

This article details a debugging strategy for AI agents interacting with Multi-Call Protocol (MCP) servers, emphasizing a "curl-first" approach. The author advocates for testing individual tools with `curl` before integrating them into an AI agent to isolate issues. This method helps determine if problems stem from the LLM, the prompt, or the tool integration itself by directly querying the MCP server. AI

AgentMail has launched Agent.Email, a service that allows AI agents to sign up for internet services using their own email inboxes. This addresses the challenge of AI agents being unable to interact with a web designed exclusively for human users. The system enables agents to initiate sign-ups via curl, receive instructions, and then prompt a human for a one-time password (OTP) to complete the process and gain full access. AI

The llama.cpp router mode allows local LLM operators to manage multiple models, offering performance and control similar to services like Ollama. While it supports loading and unloading individual models, there isn't a direct API endpoint to unload all models simultaneously. Users can achieve this by first querying the router for all loaded models and then programmatically sending individual unload requests for each, a method that provides explicit control and avoids restarting the entire inference service. AI