BoxAgnts Tool System (6) — Multi-Provider Adaptation and the Agent Query Loop

<h2> The Problem Nobody Talks About </h2> <p>You've built an agent. You've wired up 100+ tools. You feel good about it.</p> <p>Then it starts hallucinating. Picking the wrong

<p>The previous three articles each dissected one layer of BoxAgnts' three-tier architecture:</p> <ul> <li> <strong>Outer layer</strong>: Out-of-the-box user experience — Vue 3

<p>Claude's tool use (function calling) API is what separates toy chatbots from actual agents. I've built production agents with it — here's what reliable tool use looks like when

<p>Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>If you've only chatted with ChatGPT, you might think an AI Agent is simply "send a prompt to the API, display the response."</p> <p>The reality is far more complex. Here is a

<p>Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it enthusiastically. You have been ignoring it politely.</p> <p>Fair enough. Until

<p>You've heard of DevOps. You've heard of AIOps. You've probably heard of MLOps.</p> <p>But there's a category that doesn't exist yet — and it's the one the AI industry needs