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Your local LLM app needs guardrails before it needs prompts

A developer's production experience running autonomous agents on local LLMs 24/7, with over 8,000 logged failures, shows that successful calls don't guarantee correctness. The developer created a scaffold, `create-local-llm-app`, that enforces output contracts, human approval, and watchdog checks before any output leaves the app. The contract checker is open-sourced as `honto-contract`, and a failure log dataset is available on Hugging Face.

read2 min views3 publishedAug 27, 2026

Most local-LLM tutorials start with the fun part: the prompt. After running a fleet

of autonomous agents on local models 24/7 and logging every failure — the ledger now

holds over eight thousand entries — we start somewhere else.

Here is the single most important thing that ledger taught us: the call succeeding tells you nothing. The majority of our contract violations were outputs that were

So we distilled the survival kit into a scaffold you can stand up in one command:

npx create-local-llm-app my-app

Five files, about 180 lines, plain Node and Express, no framework lock-in. What gets

wired in:

A contract declares what "done" looks like — and then verifies the artifact itself.

Never a proxy. Not the exit code, not a log line, not HTTP 200. contract.js

has

three kinds of clause:

minChars

— the cheapest check, and statistically the most valuablemust

— patterns that have to appearmustNot

— leftover placeholder tags, unfinished markers, refusal leakage ("as an AI, I cannot…" inside what was supposed to be a business document)Every mustNot

entry exists because it caught a real production failure.

When the contract rejects an output, the failure reason goes into the next prompt.

Three strikes and the item is rejected outright — there is no "accept with warnings",

because accept-with-warnings is "apologize later" with extra steps.

Nothing the model writes leaves the app without a person pressing approve. No

decision means no. That rule comes from experience: an unattended script once

contacted a real company because its default was "send". The dangerous side is

never the default here.

A heartbeat (is the process alive?) and a silent-zero check (is anything actually

being produced?). These are different questions. Running is not the same as

producing — a fleet can be 100% "up" with zero output all day, and nothing in a

standard health check will tell you.

Because the guardrails are the product; the model is replaceable. Swap Ollama

models in .env

, replace the prompts with your own business task, and the

contract/queue/watchdog skeleton stays exactly where it is.

If you want to go deeper, the checker we run in production is free and MIT:

honto-contract. A free snapshot of

the failure ledger behind all of this is on

Hugging Face.

Start with the scaffold, break every guard on purpose, and watch them hold. That is

the fastest way to trust your own unattended setup.

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