arXiv:2602.03478v2 Announce Type: replace Abstract: LLM routing aims to reduce inference costs by assigning easy queries to less expensive models and reserving stronger models for cases in which they are needed. However, we find that existing routers often violate this principle …
arXiv:2611.07650v1 Announce Type: cross Abstract: Third-party application programming interface (API) relays offer access to large language models (LLMs), often at lower prices. Users depend on these services for model quality, instruction compliance, and accurate billing. Howeve…
dev.to — LLM tag
TIER_1English(EN)·Christian Anderson·
<p><a href="https://github.com/casareanderson/model-radar" rel="noopener noreferrer">model-radar</a> is two small commands I run for my AI agents:</p> <ul> <li> <code>model-radar</code> lists the free models on OpenRouter and actually asks each new one to make a tool call. Loads …
dev.to — LLM tag
TIER_1English(EN)·Marina Kovalchuk·
<h2> Introduction: The Growing Reliance on LLM Agents </h2> <p>In the race to leverage AI’s potential, organizations are increasingly deploying Large Language Model (LLM) agents in production environments. These agents, often perceived as infallible due to recent performance impr…
<h2> The question </h2> <p>Engineers searching for best practices on LLM access controls usually want one thing: a concrete answer to how an agent should be allowed to touch real systems. This article explains the mechanism, the failure mode it prevents, and the order in which th…
<p>Every "best LLM gateway" list we've read ranks products by feature checklist: routing ✓, caching ✓, guardrails ✓. Checklists are where evaluation goes to die — every gateway claims every feature, and the differences that decide whether your production traffic survives a bad Tu…
dev.to — LLM tag
TIER_1English(EN)·Guillermo Baigorria·
<p>In the <a href="https://blog.getwerk.ai/posts/rent-the-model-own-the-harness" rel="noopener noreferrer">first post</a> of this series, a four-second voice note helped us separate what the model does from what the harness does: "Done with the Novak job." That was the easy case.…
<h2> The problem is not the output </h2> <p>Most teams secure an LLM deployment by filtering what comes out of it. That is the wrong boundary. The dangerous artifact is not the text the model returns to the user. It is the tool call the model emits on the way there.</p> <p>An age…
dev.to — LLM tag
TIER_1English(EN)·Sucheta Dhiman·
<p>A single developer calling a model through a gateway needs little more than a base URL and a key. An enterprise running hundreds of AI features across many teams, regions, and regulatory regimes needs something more carefully structured. This article lays out a reference archi…
<h2> Introduction </h2> <p>LLM access controls are often treated as prompt-level guardrails. That framing misses the real risk: an agent that can call tools is a software principal making requests on behalf of a user. If those requests are not authenticated and authorized at the …