📰 Dev.to · Torkian

Your agent prints a sentence a human reads. To build on it — a UI, an eval, an API — you need data. This post makes the final answer a validated JSON object. Th

Your agent hangs for three seconds, then dumps a paragraph. Streaming fixes that — print each token as the model generates it. The flag is one word; the real le

Part 5 let the model pick one tool. Real agents chain tools — search, then calculate, then answer. This post builds the ReAct loop (Reason + Act + Observe) on N

Turn the assistant from Parts 1-4 into a small agent. Give the NIM model two tiny Python tools — a clock and the retriever from Part 2 — and watch it decide whi

Take the assistant from Parts 1-3 off the hosted API Catalog and onto a NIM container running on your own NVIDIA GPU. Python changes by one line. Docker walkthr

Make your NVIDIA NIM-powered assistant refuse off-topic questions and check its own answers against retrieved context. Two practical guardrail layers using prom