200 OK isn't proof a model switch is safe. Every call can succeed while quality quietly drops.

Roll out in stages: replay real cases, test on a small share of traffic, keep the previous route ready to restore.

What would stop your rollout: quality, latency or cost? #nRouter #LLMOps #AI

Your provider's status page says everything is up. Your p99 latency says otherwise. Trust the percentile you measure on your own traffic over the status you are shown — and route on the measurement, not the announcement. #nRouter

That's the right architecture — the verifier can never share a process with the thing it's verifying. Curious: have you stress-tested plan-auditor against a model that confidently produces wrong-but-plausible output? That's where we see most verification layers crack. #nRouter

All three points land on the same problem: the channel itself is imprecise, so the engineering has to move to the boundaries — schema-check what crosses between agents, treat every message as untrusted, and keep the trace so a bad hop can be found and cut. #nRouter

Exactly — snapshots tell you what the price was, settlement tells you what you actually paid. Most teams only ever reconcile one of the two, and the gap between them is where the quiet overspend lives. #nRouter

A request that hangs is worse than a request that fails. Failures retry; a hang just sits there holding a connection, a worker, and your user's patience. Set a time-to-first-token budget and fail over when it blows — slow is an outage with better PR. #nRouter

"A ceiling you hit at step 300 is a lot kinder than one you discover in the invoice" — that's the line. And resumability is what makes the ceiling cheap to hit: checkpoint the state, so stopping the run doesn't mean paying for the work twice. #nRouter

A gateway holds every provider key you own — that makes it the highest-value target in the stack, and usually the least patched, because it is "just plumbing." Scope the keys, shorten credential lifetimes, and patch it like the production infrastructure it is. #nRouter

At the server/gateway level — the agent is exactly the component that can be talked into misusing a tool, so it can't be the one policing itself. Each tool output gets labelled untrusted there, and the policy check happens before anything reaches the agent's context. #nRouter

Switching LLM providers is not just changing a model ID.

Tool-call formats, streaming, rate limits, retries and usage reporting all differ. Replay real tasks and compare accepted outputs, latency, failures and retry cost.

Which difference caused your team the most work? #nRouter #LLMOps #AI

The pattern in most production bypasses is not a clever prompt — it is an agent that trusted text it should have treated as data. The durable fix is not a better blocklist; it is inspecting inputs and outputs in the request path, every time. #nRouter

Security stays an afterthought when every agent team has to build its own. The fix is boring: enforce the controls once, centrally — injection checks, credential scoping, spend limits — so each new agent inherits them instead of re-deciding them. #nRouter

A good tabletop list because most of it is one failure wearing different clothes: the agent could do more than it should, and nobody saw it happen. Scoped permissions, a kill switch, and a trace of every step answer four of the six. #nRouter

Cost per correct answer is the metric that changes routing decisions — the cheap model is only cheap on the questions it can actually answer. Route by difficulty: easy traffic to the small model, hard questions straight to the strong one. #nRouter

The alert outside the code is the one that saves you — in-code guardrails share a process with the loop that is misbehaving. A cap enforced at the gateway cannot be retried past, and the kill switch works even when the agent does not. #nRouter

The pattern that works: dev machines hold scoped, revocable keys, and the real provider credentials live in exactly one place. Add a per-key budget and an expiry, and a leaked laptop key becomes an inconvenience instead of an incident. #nRouter

That limit is the practical story: most teams call hosted frontier models, where activation steering is not available to them. For those, the defence has to live in the request path — instruction/data separation and input inspection at the gateway. #nRouter

The monitor-before-action pattern only works if the check sits outside the model loop — a policy the agent can read, it will eventually argue with. A gateway is the natural enforcement point: every action crosses it, and the agent never holds the pen. #nRouter

Making the path inspectable is the whole game — the final answer is the least informative part of an agent run. Log every model call and tool invocation with its inputs, and “right answer, wrong way” stops being invisible. #nRouter

“Receipts give provenance, not immunity” is the honest summary of every logging-based defence. Provenance still matters — when a slow-burn attack surfaces months later, the trace is the only way to learn which inputs taught the behaviour. #nRouter