DEV Community: Malbolged

The AI clerk approved a 41 cm dragon. Your job is to stamp DENIED.

Malbolged — Thu, 01 Oct 2026 23:52:58 +0000

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange

What I Built

The Bureau of Imaginary Permits: a pixel-art inspection-booth game about bureaucracy for things that don't exist, running on real Sanity Workflows.

You take the window. Applicants step up one at a time, wanting a Licence to Whistle on Tuesdays, a Permit to Keep a Small Dragon (Indoor), or the Deed to a Medium-Sized Cloud. They slide over their papers: an application, a Citizen Card with a photo, sometimes a licence they already hold.

Every file arrives already passed by Clerk Third Class, an AI. Its memo sits on your desk: "Named dragon, licensed puddle on file, fire plan mentions water. In order." The clerk is tired, though. The dragon is 41 cm, and the Rulebook says 35. You pull out the stamp tray, slam DENIED into the box, and hand the papers back.

Get it wrong and a citation prints out of the machine.
Day 2 brings a bulletin that changes the rules overnight. The clerk keeps applying yesterday's.

That is the Workflows bonus prompt played straight: "an agent can move a draft forward and a person can approve it." Here the agent always moves it forward, and the person is the only thing standing between a forged Citizen Card and a Licence to Look Up.

Behind the window there is a real citizen side. Anyone can file a permit:

A real AI clerk reads it and can send it back asking for Form 88-H, the Haunting Liability Waiver.
Sky permits also go to a second AI, the Ministry of Weather, which rules in the voice of a shipping forecast.
Human officials then stamp the file in an App SDK app inside the Sanity dashboard.

Demo

Play: https://bureau-of-imaginary-permits.vercel.app/shift (no account; seven applicants a day, two days)

The citizen side: a real file that went through both AIs and two human signatures, with the GROQ rule behind every move.

Code

malbolged / bureau-of-imaginary-permits

Bureau of Imaginary Permits

A pixel-art inspection-booth game about bureaucracy for things that don't exist, built on Sanity Workflows.

Play: https://bureau-of-imaginary-permits.vercel.app/shift (no account needed)

You take the window. Applicants step up one by one, wanting a Licence to Whistle on Tuesdays, a Permit to Keep a Small Dragon (Indoor), or the Deed to a Medium-Sized Cloud. Each hands over a Citizen Card, an application, and sometimes a licence they already hold.

The AI clerk has already passed every file. The clerk is tired. Your job is to compare the papers against the Rulebook and the day's bulletin, stamp APPROVED or DENIED, and hand them back. Wrong stamps print a citation. Day 2 changes the rules.

There is also a real citizen side. Anyone can file a permit: a real AI clerk (Gemini) reads it, a second AI (the Ministry of Weather) rules on anything in the sky, and human…

View on GitHub

My Build Process

IDE: Claude Code (Opus 5.5) in a Windows terminal. I typed very little, and that's the honest shape of this build. Claude wrote, ran and tested everything, and kept a BUILD-LOG.md as it went. This section comes from that log.

Every prompt that changed the direction

"go path two". Claude came back with three strange ideas that could use both bonus areas. I picked the Bureau.
"don't open the browser, tell us what you need and we'll provide it". Mid-build, Claude started driving my Chrome to test the dashboard app. I stopped it, and from then on it asked me for screenshots.
After the first version shipped: "we should first redesign the application it looks too vibecoded (colors, fonts ...) we should gamify it, it should follow the "Papers, Please" game design it should have a stamp approval/denial stamping animation". Claude asked three questions:
- Who does the visitor play? The inspector.
- How is a stamp scored? Against planted discrepancies, with the truth stored in Sanity.
- How far does the redesign go? A full pixel-art booth.

That's it. Everything else below is what an agent did with those sentences, including where it went wrong.

Version 1: a government office (and why I threw its look away)

The first build was a tasteful government-forms site: paper colours, a serif, rubber-stamp CSS. It worked end to end, but it looked like every other "nice" AI-built site. That was my second "too vibecoded" across two challenge entries, so the brief became: commit to a world.

Workflows: almost hand-rolled, then the real thing

Claude's first plan was to model the process itself, with a workflow type holding stages[] and transitions[]. Before writing it, it followed the "Workflows" link in the challenge post and found @sanity/workflow-engine (early access, on npm):

Definitions are deployed into a dataset as documents.
Every application is a sanity.workflow.instance with its stage, fields and full history.
Transitions are GROQ conditions.
AI work runs as queued effects.

The hand-rolled schema was dropped. There are now four chains, all data:

Chain	Steps
`express-permit`	AI clerk only
`standard-permit`	AI clerk, then one human stamp
`sky-permit`	AI clerk, Ministry of Weather AI, Under-Secretary, Minister
`booth-inspection`	Straight to the window: the game

The game is real workflow traffic

Starting a shift turns the day's scripted case documents into real applications, each governed by a booth-inspection instance. Your stamp is a real fireAction. The server then scores it from the decision the engine recorded on the instance, checked against case.truth. The browser never reports its own score. Day sheets are shift documents, which is the leaderboard.

Honesty note: the clerk memos on scripted applicants are authored, not generated. Every file at the window arrives "passed" because that's the premise. If the real clerk saw those files, it would reject them, and they'd never reach you. The citizen side uses the real AI clerk.

Where it got stuck, and how it got unstuck

The engine's validator caught a real bug on the first deploy. One chain had a denied stage that no transition could reach, and sanity-workflows deploy --check refuses that.
The clerk misread "Yes". With consent answered "Yes", it twice demanded the consent waiver, then rejected the citizen's reply to that very form. Two causes:
1. It wasn't forced to quote the failing answer.
2. It never saw the question on the form it had requested.

After the fix, it quotes the answer that fails ("'Any time she fancies' fails the rule…") and accepts a correct reply.

Guardrails moved from the prompt into code:
- Prerequisite permits are checked against the issued workflow instance.
- Forms: the clerk may only request forms attached to that permit type.
- The loop: after two returns, a file is "passed for stamping out of sheer fatigue". This one fired in testing before the "Yes" fix landed.
Scoring looked in the wrong place. windowDecision is declared on the stage, so it lives on the stage entry, not the instance's fields. The first scripted shift threw "The stamp was not recorded" until that was fixed.
Seven windows opened one after another took 24 seconds. In parallel it takes about 3.5 s, inside Next.js after() while you read the bulletin. A stamp takes about 3.5 s on the server, so the animation and sound fire at once and the citation prints when the verdict lands.
React StrictMode started two shifts per page load in dev. A started ref fixed it.
A privacy bug. The public permit certificate printed the stamping official's real Sanity name. It now shows the role. The identity stays on the private instance.
Windows papercuts. Git Bash rewrote /v9/projects/… into a Windows path, so vercel api silently created the project with default settings. A shell heredoc also choked on curly apostrophes in Day 2's dialogue.

Original art, no assets

Inspiration: inspection-booth games. Copied: nothing.
Faces: generated from a seed on a 20×24 grid, so a Citizen Card photo with a different seed is a forged photo (Day 2, applicant 4).
Fonts: Pixelify Sans, VT323 and Silkscreen from Google Fonts.
Sound: synthesised with WebAudio (stamp thunk, paper, counter bell, citation printer).
Motion: every animation uses CSS steps(), so it moves like sprites.

The App SDK Stamp Desk

Citizen files that reach a human desk land in the Stamp Desk, a React app deployed into the Sanity dashboard and built on @sanity/workflow-sdk:

useWorkflowInstances({filter: {stage: 'stamping'}}) is the live in-tray.
useWorkflowSession drives one file. Its evaluation decides whether the stamp buttons are enabled.

I checked a real stamp on the instance. The approve row is signed by my own Sanity user with executionContext: {kind: "sdk", runtime: "browser"}. The website's server token signs its rows as bureau-web. The move to issued was committed by the same browser session: the engine runs the cascade inside fireAction, so a human stamp needs no server.

Sanity Project Details

Project ID: e23lrcxv
Public datasets:
- production: departments, forms, permit types, applications, scripted applicants, bulletins, shifts.
- workflows: the engine's definitions and instances. Their dotted IDs keep them out of anonymous reads, so the site renders them on How it works.
Try a query: Day 2's applicants and the clerk's memos. The truth field is on those documents too. Play first.
Schema highlights:
- permitType: requirements[], each with a clerkCheck rule (the Rulebook); prerequisites[] pointing to other permit types; the forms[] the clerk may request; and workflow naming its chain.
- case: the papers handed over (cards and licences with photo seeds), the authored clerk memo, truth and reason.
- bulletin: the day's rules and in-game date.
- shift: results written only by the server.
- application: holds answers and agent memos. Its progress lives in the workflow instance.

Agent Session

Building the Bureau of Imaginary Permits: a Papers, Please–style game on Sanity Workflows claude-opus-5-5

Agent

▸ WebFetch {"url":"https://www.sanity.io/docs/workflows/getting-started","prompt":"Repro...

Input

{"url":"https://www.sanity.io/docs/workflows/getting-started","prompt":"Reproduce the getting-started steps verbatim: packages to install (exact names/versions), CLI commands, prerequisites (plan, lab...

Output

# Sanity Workflows Quick Start

## Prerequisites
- Node.js 20.12 or later
- Active Sanity project with writable dataset
- One published document (note its `_id` and `_type`)

## Installation

Install both packages at the same version (0.33.0 or later):

```bash
npm install @sanity/workflow-engine @sanity/workflow-cli
```

Authenticate via CLI:
```bash
npx sanity@latest login
```

For CI environments, set `SANITY_AUTH_TOKEN` instead.

## Minimal Workflow Definition

Create `workflows/article-review.ts`:

```typescript
import {
  defineAction,
  defineActivity,
  defineField,
  defineStage,
  defineTransition,
  defineWorkflow,
} from '@sanity/workflow-engine/define'

export const articleReview = defineWorkflow({
  name: 'article-review',
  title: 'Article review',
  description: 'Takes one article from drafting, through review, to approved.',
  initialStage: 'drafting',
  fields: [
    defineField({
      type: 'subject',
      name: 'subject',
      title: 'Article',
      required: true,
      initialValue: {type: 'input'},
    }),
  ],
  stages: [
    defineStage({
      name: 'drafting',
      title: 'Drafting',
      activities: [
        defineActivity({
          name: 'write… [2369 chars trimmed]

2 messages not shown

Agent

▸ Bash cd /c/Users/user/Desktop && npm view @sanity/workflow-engine version versions...

Input

$ cd /c/Users/user/Desktop && npm view @sanity/workflow-engine version versions --json 2>&1 | tail -8; npm view @sanity/workflow-cli version 2>&1; npm view @sanity/workflow-engine exports --json 2>&1 | head -40; npm view @sanity/sdk-react version 2>&1

Output

"0.31.0",
    "0.32.0",
    "0.33.0",
    "0.34.0",
    "0.35.0",
    "0.36.0"
  ]
}
0.36.0
{
  ".": {
    "import": "./dist/index.js",
    "default": "./dist/index.js",
    "require": "./dist/index.cjs"
  },
  "./define": {
    "import": "./dist/define.js",
    "default": "./dist/define.js",
    "require": "./dist/define.cjs"
  },
  "./package.json": "./package.json"
}
3.7.0
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

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▸ Bash S="/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chall...

Input

$ S="/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf"; mkdir -p "$S" && cd "$S" && npm pack @sanity/workflow-engine@0.36.0 @sanity/workflow-cli@0.36.0 >/dev/null 2>&1; for f in *.tgz; do mkdir -p "${f%.tgz}"; tar -xzf "$f" -C "${f%.tgz}"; done; ls; ls sanity-workflow-engine-0.36.0/package sanity-workflow-engine-0.36.0/package/dist | head -50; wc -c sanity-workflow-engine-0.36.0/package/README.md sanity-workflow-engine-0.36.0/package/dist/*.d.ts 2>/dev/null

Output

sanity-workflow-cli-0.36.0/
sanity-workflow-cli-0.36.0.tgz
sanity-workflow-engine-0.36.0/
sanity-workflow-engine-0.36.0.tgz
sanity-workflow-engine-0.36.0/package:
CHANGELOG.md
DATAMODEL.md
dist/
LICENSE
package.json
README.md

sanity-workflow-engine-0.36.0/package/dist:
_chunks-cjs/
_chunks-es/
define.cjs
define.d.cts
define.d.ts
define.js
index.cjs
index.d.cts
index.d.ts
index.js
  2810 sanity-workflow-engine-0.36.0/package/README.md
 82478 sanity-workflow-engine-0.36.0/package/dist/define.d.ts
421309 sanity-workflow-engine-0.36.0/package/dist/index.d.ts
506597 total
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

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▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package" && cat README.md && cat package.json | head -60 && head -c 6000 DATAMODEL.md

Output

# @sanity/workflow-engine

Workflow / BPM engine for Sanity content. Define workflows as data, run them as
instances against a Sanity client, gate transitions on GROQ filters, and queue
effects for runtimes to drain.

> **Status:** Pre-1.0 and publicly available on npm. The API may change between
> minor versions.

## Installation

```bash
npm install @sanity/workflow-engine
```

## Fields vs Sanity schema fields

A workflow **field** is the engine's state primitive: a typed value a workflow
instance carries — an assignee, a decision, a due date, a reference to the
document under review. Fields are declared in `fields: [...]` at workflow,
stage, or activity scope and live on the workflow **instance** document. They
are not Sanity schema fields: they never touch your content documents' shape.

The authoring DSL deliberately borrows Sanity's schema idiom, so
`@sanity/workflow-engine/define` exports its own `defineField`. A Studio file
that also imports `defineField` from `sanity` should alias one of them:

```ts
import {defineField as defineWorkflowField} from '@sanity/workflow-engine/define'
```

The `fields` key itself appears at four nesting levels, meaning something
different at … [9213 chars trimmed]

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && grep -n "^export " index.d.ts | tail -5; grep -o "export {[^}]*}" index.d.ts | tr ',' '\n' | grep -iE "engine|start|fire|create|deploy|transition|instance|query|actor" | head -60

Output

10782:export declare interface WorkflowTelemetryEvent<Data = void> {
10804:export declare interface WorkflowTelemetryLogger {
10809:export declare interface WorkflowTransaction {
10858:export declare type WorkflowVisibility = "sync" | "async" | "deferred";
10860:export {};
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && grep -nE "^export declare function (create|start|fire|deploy|plan|define|resolve|query|list|get|drain|run)" index.d.ts | head -60; grep -nE "^export declare interface (WorkflowEngine|Engine)\b" index.d.ts

Output

1901:export declare function createEngine<Client extends WorkflowClient>(
1959:export declare function createTelemetryIntake(args: {
2567:export declare function deployedTagsGroq(): string;
2582:export declare function deployStageGuards(args: StageGuardArgs): Promise<void>;
7366:export declare function resolveAccess(
7382:export declare function resolveActor<User>(
7388:export declare function resolveClientActor(
7452:export declare function resolveFieldEntry(
7481:export declare function resolveUserAttributes(
8072:export declare function startFieldsParam(args: {
8175:export declare function startKindOf(definition: {
8235:export declare function startRefusal(definition: {
3669:export declare interface Engine {
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && sed -n 1880,1960p index.d.ts; sed -n 3669,3990p index.d.ts

Output

/**
 * Construct an engine bound to a workflow resource + tag. The returned
 * object exposes the `workflow.*` verbs minus the {@link EngineScopeArgs}
 * scope (client / tag / workflowResource / resourceClients), which is
 * pinned at construction. The `tag` is required — see {@link validateTag}
 * for the accepted shape.
 *
 * Parity with the namespace is exact, with these deliberate exceptions:
 *
 * - Engine-only: {@link Engine.session} and
 *   {@link Engine.subscriptionDocumentsForInstance} (need the pinned
 *   binding), {@link Engine.drainEffects} and
 *   {@link Engine.verifyDeployedDefinitions} (need the construction-time
 *   `effects` / `loggerFactory`).
 * - Namespace-only: `workflow.permissions` — pure grant helpers that need
 *   no engine scope.
 *
 * The {@link EngineEffectsArgs} group changes nothing about `fireAction` /
 * `tick` / `completeEffect` — the runtime still decides when to drain, and
 * reports outcomes via `completeEffect`.
 */
export declare function createEngine<Client extends WorkflowClient>(
  args: CreateEngineArgs<Client>,
): Engine;

/**
 * The {@link EngineScopeArgs} scope pinned at construction, plus the
 * engine-only extras (`effects` and `l… [20113 chars trimmed]

Agent

Status: Sanity Workflows is a real npm engine (@sanity/workflow-engine 0.36, early access). I'm reading its API so the permit approval chains run on the actual engine and aren't hand-rolled.

Agent

▸ WebFetch {"url":"https://www.sanity.io/docs/workflows/cookbook-ai-content-pipeline","p...

Input

{"url":"https://www.sanity.io/docs/workflows/cookbook-ai-content-pipeline","prompt":"Reproduce ALL code samples verbatim (workflow definition with effects, triggers, transitions with filters/when, fie...

Output

# AI Content Pipeline: Workflow Architecture & Implementation

## Pipeline Overview

This Sanity workflow implements a five-stage AI content approval system where agents draft and verify content while humans intervene only when automated checks flag issues.

### Stages

The pipeline progresses through: **Drafting** → **Automated Checks** → **Human Verification** (conditional) → **Publishing** → **Published**.

## Workflow Definition

```typescript
import {
  defineAction,
  defineActivity,
  defineField,
  defineStage,
  defineTransition,
  defineWorkflow,
} from '@sanity/workflow-engine/define'

const anyCheckFailed =
  "$effectStatus['brand-voice'] == 'failed' || $effectStatus['seo'] == 'failed' || " +
  "$effectStatus['link-check'] == 'failed' || $effectStatus['fact-check'] == 'failed'"

export const aiContentPipeline = defineWorkflow({
  name: 'ai-content-pipeline',
  title: 'AI content pipeline',
  initialStage: 'drafting',
  fields: [
    defineField({
      type: 'subject',
      name: 'subject',
      initialValue: {type: 'input'},
      required: true,
    }),
    defineField({type: 'actor', name: 'verifiedBy'}),
    defineField({type: 'string', name: 'revisionNote'}),
   … [15946 chars trimmed]

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Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && grep -nE "^export declare (function|const|type|interface) " define.d.ts | head -80

Output

551:export declare const CONDITION_VARS: readonly ConditionVar[];
553:export declare interface ConditionVar {
573:export declare type ConditionVarBinding = "always" | "caller" | "spawn";
585:export declare function defineAction(action: AuthoringAction): AuthoringAction;
587:export declare function defineActivity(
605:export declare function defineEffect(effect: AuthoringEffect): AuthoringEffect;
607:export declare function defineEffectDescriptor(
611:export declare function defineField(
621:export declare function defineGroup(group: Group): Group;
623:export declare function defineGuard(guard: AuthoringGuard): AuthoringGuard;
625:export declare function defineOp(op: AuthoringOp): AuthoringOp;
627:export declare function defineStage(stage: AuthoringStage): AuthoringStage;
629:export declare function defineTransition(
646:export declare function defineWorkflow(
666:export declare function defineWorkflowConfig(
718:export declare interface EffectDescriptor {
724:export declare interface EffectDescriptorParam {
1064:export declare const FILTER_SCOPE_VARS: readonly string[];
1081:export declare function groq(
1154:export declare const GUARD_PREDICATE_VARS: readonly {
1324:export declare… [112 chars trimmed]

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && sed -n 540,585p define.d.ts; grep -n "interface AuthoringAction\b" -A60 define.d.ts | grep -vE "^\s*[0-9]+-\s*\*" | head -70

Output

*
 * Three other GROQ contexts read a definition and do NOT share this
 * inventory: cascade gates (transition/activity/cascade-action gates, which
 * must resolve identically regardless of caller — only the `'always'`-bound
 * subset carries values, {@link FILTER_SCOPE_VARS}); the start contexts
 * (`start.filter` is browse-time-pure over a candidate document,
 * {@link START_FILTER_VARS}; a start `groq` requirement binds `$fields`
 * instead, {@link START_REQUIREMENT_VARS}); and lake guard predicates, which
 * are not conditions at all — delta-mode GROQ over a mutation, binding
 * {@link GUARD_PREDICATE_VARS} instead.
 */
export declare const CONDITION_VARS: readonly ConditionVar[];

export declare interface ConditionVar {
  /** The GROQ param name, read as `$<name>`. */
  name: string;
  binding: ConditionVarBinding;
  description: string;
  /** Short human phrase for rendered explanations ("all activities in this
   *  stage are finished") — consumer-facing, unlike `description`. */
  label: string;
}

/**
 * When a condition var holds a value:
 *
 * - `'always'` — bound in every condition evaluation, derived from the
 *   instance and its snapshot.
 * - `'caller'` — rides the … [758 chars trimmed]

Agent

▸ Read C:\Users\user\AppData\Local\Temp\claude\C--Users-user-Desktop-sanity-challeng...

Input

C:\Users\user\AppData\Local\Temp\claude\C--Users-user-Desktop-sanity-challenge\fa4c1784-26d0-48d1-8156-f93910b9470e\tasks\b60xskw7a.output

Output

1    "name":"@sanity/workflow-cli"
2   "name":"@sanity/workflow-engine-test"
3   "name":"@sanity/workflow-sdk"
4   "name":"@sanity/workflow-engine"
5   "name":"@sanity/workflow-mcp"
6   "name":"@sanity/workflow-studio"
7   "name":"@sanity/workflow-studio-plugin"
8   "name":"@sanity/workflow-react"
9   "name":"@sanity/workflow-components"
10  "name":"@sanity/workflow-diagram"
11  @sanity/cli/8.13.0 win32-x64 node-v24.19.0
12  ┌──────────┬─────────┬────────────────────────────────┬───────────────────────────────────────────────┬────────────┐
13  │[37m [0m[01mID      [0m │[37m [0m[01mMembers[0m │[37m [0m[01mName                          [0m │[37m [0m[01mURL                                          [0m │[37m [0m[01mCreated   [0m │
14  ├──────────┼─────────┼────────────────────────────────┼───────────────────────────────────────────────┼────────────┤
15  │[37m [0m[37ma2iy46w2[0m │[37m [0m[37m2      [0m │[37m [0m[37mOlive and Ember Allergen Agent[0m │[37m [0m[37mhttps://www.sanity.io/manage/project/a2iy46w2[0m │[37m [0m[37m2026-09-28[0m │
16  └──────────┴─────────┴────────────────────────────────┴───────────────────────────────────────────────┴────────────┘
17

Agent

▸ Bash for p in workflow-sdk workflow-react workflow-components workflow-diagram wor...

Input

$ for p in workflow-sdk workflow-react workflow-components workflow-diagram workflow-studio workflow-studio-plugin; do echo "== $p"; npm view @sanity/$p version description peerDependencies --json 2>/dev/null | head -25; done

Output

== workflow-sdk
{
  "version": "0.36.0",
  "description": "React adapter that drives the @sanity/workflow-engine reactive session from the Sanity App SDK document store.",
  "peerDependencies": {
    "react": "^19.2.7",
    "@sanity/sdk": "^3.1.0",
    "@sanity/sdk-react": "^3.1.0",
    "@sanity/workflow-react": "0.36.0",
    "@sanity/workflow-engine": "0.36.0",
    "@sanity/workflow-components": "0.36.0"
  }
}
== workflow-react
{
  "version": "0.36.0",
  "description": "Store-agnostic React core that drives the @sanity/workflow-engine reactive session; the Studio and App SDK adapters supply the store observer.",
  "peerDependencies": {
    "react": "^19.2.7",
    "@sanity/workflow-engine": "0.36.0"
  }
}
== workflow-components
{
  "version": "0.36.0",
  "description": "Reusable React components for Workflows member, assignee, and date fields.",
  "peerDependencies": {
    "react": "^19.2.7",
    "react-dom": "^19.2.7",
    "styled-components": "^6.4.2",
    "@sanity/workflow-engine": "0.36.0"
  }
}
== workflow-diagram
{
  "version": "0.36.0",
  "description": "React component rendering a workflow definition as a stage diagram — ELK layered layout, current-stage and visited-path hi… [1192 chars trimmed]

Agent

▸ Bash S="/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chall...

Input

$ S="/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf"; cd "$S" && for p in workflow-sdk workflow-react workflow-diagram; do npm pack @sanity/$p@0.36.0 >/dev/null 2>&1; done; for f in sanity-workflow-sdk-0.36.0 sanity-workflow-react-0.36.0 sanity-workflow-diagram-0.36.0; do mkdir -p $f; tar -xzf $f.tgz -C $f; echo "=== $f"; cat $f/package/README.md; done

Output

=== sanity-workflow-sdk-0.36.0
# @sanity/workflow-sdk

Reactive workflow adapter over the **App SDK** store. `useWorkflowSession`
drives an `@sanity/workflow-engine` session from `getDocumentState`
(optimistic, per-doc) and returns
`{evaluation, ready, invalid, error, guards, tick, fireAction, editField, previewField, discardFieldPreview}`.
`useWorkflowInstances` / `useDocumentWorkflows` are live instance lists
(filterable collection / per-document discovery) read from the engine's state
dataset via `getQueryState`, each returning `{instances, loading, unreadable, error}` —
rows the read discipline refuses are skipped from `instances` and flagged in
`unreadable`, so one bad row can't sink the listing.
The session's `invalid` is the explicit validation state (a model-ahead doc
needs a newer `@sanity/workflow-engine`; a shape violation is a corrupt
stored tree) — surfaced as state instead of a throw, never `ready` while set.
SDK state-source throws are normalized into the same reactive observer state;
`error` clears when a later live emission succeeds.

```tsx
const engine = useMemo(() => createEngine({client, workflowResource, tag}), [client])
const {evaluation, ready, guards, fireA… [26043 chars trimmed]

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Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && grep -nE "^declare (interface|type) (AuthoringEffect|AuthoringAction|AuthoringStage|AuthoringTransition|AuthoringActivity|EffectOutput|FieldEntryType|AuthoringField|ActionParam|AuthoringWorkflow)\b" define.d.ts; grep -nE "\"(string|boolean|number|actor|subject|text|progress|datetime|date|doc\.ref|object|array)\"" define.d.ts | head -20

Output

47:declare type ActionParam = v.InferOutput<typeof ActionParamSchema>;
235:declare type AuthoringAction = AuthoringRawAction;
238:declare type AuthoringActivity = ActivityFields<
261:declare type AuthoringEffect = EffectFields<AuthoringEffectRetry> & {
464:declare type AuthoringStage = StageFields<
481:declare type AuthoringTransition = TransitionFields & {
492:declare type AuthoringWorkflow = WorkflowFields<
55:            "string",
56:            "number",
57:            "boolean",
60:            "actor",
61:            "doc.ref",
96:          | "string"
97:          | "number"
98:          | "boolean"
99:          | "doc.ref"
102:          | "actor"
115:            | "string"
116:            | "number"
117:            | "boolean"
118:            | "doc.ref"
121:            | "actor"
136:          | "string"
137:          | "number"
138:          | "boolean"
139:          | "doc.ref"
142:          | "actor"
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf/sanity-workflow-engine-0.36.0/package/dist" && grep -n "export declare type EffectHandler\b" -A25 index.d.ts | head -40; grep -n "export declare interface EffectHandlerResult\|export declare type EffectHandlerResult" -A20 index.d.ts | head -30; grep -n "export declare interface DrainEffectsArgs" -A30 index.d.ts | grep -v "^\s*[0-9]*-\s*\*" | head -30; grep -n "export declare interface FireActionArgs" -A40 index.d.ts | grep -vE "^[0-9]+-\s+\*" | head -30

Output

3423:export declare type EffectHandler<
3424-  Client extends WorkflowClient = WorkflowClient,
3425-> = {
3426-  bivarianceHack(
3427-    params: Record<string, unknown>,
3428-    ctx: EffectHandlerContext<Client>,
3429-  ): Promise<{
3430-    outputs?: Record<string, unknown>;
3431-    ops?: FieldOp[];
3432-  } | void>;
3433-}["bivarianceHack"];
3434-
3435-export declare type EffectHandlerContext<Client extends WorkflowClient> = {
3436-  /** A concrete sibling of the `createEngine` client, bound to the workflow resource with the
3437-   *  same credentials; untagged handler requests carry the `workflow.effect` tag by default. */
3438-  client: Client;
3439-  /** Resolve the client for a subject doc's own resource: a handler patching a foreign subject
3440-   *  routes its write here — {@link client} addresses the instance's. Throws on a bare id. */
3441-  clientFor: (ref: GdrUri | GlobalDocumentReference) => WorkflowClient;
3442-  instanceId: string;
3443-  effectKey: string;
3444-  log: (message: string, extra?: Record<string, unknown>) => void;
3445-  /** Mid-dispatch `field.*` commit gated on THIS dispatch's exact claim — a superseded claim
3446-   *  writes nothing. Runs in ca… [1283 chars trimmed]

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Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && cat > packa...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && cat > package.json <<'EOF'
{
  "name": "@bureau/workflows",
  "private": true,
  "version": "1.0.0",
  "type": "module",
  "exports": {
    "./definitions": "./src/definitions.ts",
    "./server": "./src/server/index.ts",
    "./config": "./src/config.ts"
  },
  "scripts": {
    "deploy:defs": "dotenv -e ../.env -- sanity-workflows deploy",
    "check:defs": "dotenv -e ../.env -- sanity-workflows deploy --check",
    "check:types": "tsc --noEmit"
  },
  "dependencies": {
    "@ai-sdk/google": "^3.0.0",
    "@sanity/client": "^8.8.0",
    "@sanity/workflow-engine": "0.36.0",
    "ai": "^7.0.0",
    "zod": "^4.0.0"
  },
  "devDependencies": {
    "@sanity/workflow-cli": "0.36.0",
    "@types/node": "^22",
    "dotenv-cli": "^11.0.0",
    "tsx": "^4.20.0",
    "typescript": "^5"
  }
}
EOF
cat > tsconfig.json <<'EOF'
{
  "compilerOptions": {
    "target": "ES2022",
    "lib": ["dom", "esnext"],
    "skipLibCheck": true,
    "strict": true,
    "noEmit": true,
    "module": "Preserve",
    "moduleResolution": "bundler",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "allowImportingTsExtensions": true
  },… [1127 chars trimmed]

Output

../../sanity_challenge/app/node_modules/ai/package.json:3:  "version": "7.0.120",
../../sanity_challenge/app/node_modules/@ai-sdk/google/package.json:3:  "version": "4.0.84",
../../sanity_challenge/app/node_modules/zod/package.json:3:  "version": "4.6.5",
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

21 messages not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@sanity/workflow-engine/dist && grep -n "export declare type WorkflowInstance = \|export declare interface WorkflowInstance \|WorkflowInstanceSchema" index.d.ts | head -5; grep -n "declare const WorkflowInstanceSchema" -A80 index.d.ts | grep -E "^\s*[0-9]+-\s{4}[a-zA-Z_]+:" | head -50; grep -n "export declare function refDataset\|export declare function extractDocumentId" -A6 index.d.ts | head -20

Output

10449:export declare interface WorkflowInstance extends SanityDocument {
10630:export declare const WorkflowInstanceSchema: v.GenericSchema<WorkflowInstance>;
4264:export declare function extractDocumentId(gdrUriString: string): string;
4265-
4266-/** `resourcePath` is caller-supplied so this works for both project ACLs and a dedicated workflow-collaboration resource. */
4267-declare function fetchGrants(args: {
4268-  client: {
4269-    request: NonNullable<WorkflowClient["request"]>;
4270-  };
--
7120:export declare function refDataset<TType extends string = string>({
7121-  projectId,
7122-  dataset,
7123-  documentId,
7124-  type,
7125-}: {
7126-  projectId: string;
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@sanity/workflow-engine/dist && sed -n 10449,10630p index.d.ts | grep -vE "^\s*\*|/\*\*" | head -90

Output

export declare interface WorkflowInstance extends SanityDocument {
  _type: typeof WORKFLOW_INSTANCE_TYPE;
  modelVersion?: number;
  minReaderModel?: number;
  tag: string;
  workflowResource: WorkflowResource;
  definition: string;
  pinnedVersion: number;
  pinnedContentHash?: string;
  definitionSnapshot: string;
  fields: ResolvedFieldEntry[];
  context: ContextEntry[];
  ancestors: GlobalDocumentReference[];
  perspective?: WorkflowPerspective;
  currentStage: StageName;
  stages: StageEntry[];
  subworkflows?: SubworkflowEntry[];
  pendingEffects: PendingEffect[];
  effectHistory: EffectHistoryEntry[];
  history: HistoryEntry[];
  processedRequests?: ProcessedRequest[];
  startedAt: string;
  lastChangedAt: string;
  completedAt?: string;
  abortedAt?: string;
}

export declare const WorkflowInstanceAborted: WorkflowTelemetryEvent<WorkflowAdminOverrideData>;

export declare interface WorkflowInstancePreview {
  _id: string;
  _type: typeof WORKFLOW_INSTANCE_TYPE;
  modelVersion?: number;
  minReaderModel?: number;
  workflowResource: WorkflowResource;
  definition: string;
  pinnedVersion: number;
  fields: ResolvedFieldEntry[];
  ancestors: GlobalDocumentReference[];
  pers… [583 chars trimmed]

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Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows/node_modules/@sanity/workflow-engine/dist && grep -n "export declare interface StartInstanceArgs" -A40 index.d.ts | grep -vE "^[0-9]+-\s+\*|/\*\*" | head -20

Output

8077:export declare interface StartInstanceArgs {
8079-  definition: string;
8081-  version?: number;
8097-  initialFields?: InitialFieldValue[];
8098-  ancestors?: GlobalDocumentReference[];
8114-  context?: StartContext;
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

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Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && REPLY="The ...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && REPLY="The ghost, Mr Harold Venn, has signed Form 88-H in cold breath on the bathroom mirror and consents fully to the arrangement." STAMP=approve pnpm exec dotenv -e ../.env -- tsx scripts/smoke.ts residential-haunting "ghost=A Victorian gentleman named Harold who sighs at the kettle" "hours=Whenever he likes" "consent=not sure, he won't say" 2>&1 | grep -v "^history" | tail -20

Output

after reply: awaiting-citizen
file:///C:/Users/user/Desktop/bureau-of-imaginary-permits/node_modules/.pnpm/@sanity+workflow-engine@0.3_e8d8253e75fce5ed69a7d95093d126bf/node_modules/@sanity/workflow-engine/dist/index.js:9420
    if (activity === void 0) throw new ContractViolationError(`Activity "${activityName}" not found in current stage "${stage.name}" of ${ctx.definition.name}`);
                                   ^

ContractViolationError: Activity "stamp" not found in current stage "awaiting-citizen" of standard-permit
    at findActivityInCurrentStage (file:///C:/Users/user/Desktop/bureau-of-imaginary-permits/node_modules/.pnpm/@sanity+workflow-engine@0.3_e8d8253e75fce5ed69a7d95093d126bf/node_modules/@sanity/workflow-engine/dist/index.js:9420:36)
    at resolveActionCommit (file:///C:/Users/user/Desktop/bureau-of-imaginary-permits/node_modules/.pnpm/@sanity+workflow-engine@0.3_e8d8253e75fce5ed69a7d95093d126bf/node_modules/@sanity/workflow-engine/dist/index.js:8433:72)
    at commitAction (file:///C:/Users/user/Desktop/bureau-of-imaginary-permits/node_modules/.pnpm/@sanity+workflow-engine@0.3_e8d8253e75fce5ed69a7d95093d126bf/node_modules/@sanity/workflow-engine/dist/index.js:8… [1533 chars trimmed]

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && cat > scrip...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && cat > scripts/show.ts <<'EOF'
import {clients, fileStatus} from '../src/server'
const ref = process.argv[2] ?? (await clients().content.fetch<string>(`*[_type=="application"]|order(submittedAt desc)[0].reference`))
const s = await fileStatus(ref)
console.log(ref, s.application.permit.title, '→', s.instance.currentStage)
for (const m of s.application.memos) console.log(`  [${m.from}/${m.verdict}] ${m.text}${m.form ? ` (form ${m.form.code})` : ''}`)
console.log(s.instance.history.filter((h: any) => ['transitionFired', 'actionFired'].includes(h._type)).map((h: any) => h._type === 'transitionFired' ? `${h.fromStage}→${h.toStage}` : `${h.action}`).join(' | '))
EOF
pnpm exec dotenv -e ../.env -- tsx scripts/show.ts 2>&1 | tail

Output

IP-N3FSMG Licence to Be Haunted (Residential) → awaiting-citizen
  [clerk/incomplete] Dear Ms. Thrupp, Harold sounds delightful, yet your application falters. Regulations state descriptions 'must include how long it has been in residence,' and haunting hours must be specific. As Harold’s consent remains uncertain, please complete Form 88-H. The Bureau requires order, even from Victorian gentlemen who sigh at kettles. We await your timely revision. (form 88-H)
  [clerk/incomplete] Dear Ms. Thrupp, Harold's frosty signature is noted, but the file remains unsettled. The rules state descriptions 'must include how long it has been in residence' and hours must be specific. As your own observations are incomplete, perhaps a local avian witness can provide the necessary details? Please submit Form 9-Ω. (form 9-Ω)
start-review | reviewed | intake→awaiting-citizen | resubmit | awaiting-citizen→intake | start-review | reviewed | intake→awaiting-citizen
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

67 messages not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && pnpm exec d...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && pnpm exec dotenv -e ../.env -- tsx scripts/show.ts IP-9TZ6LQ 2>&1 | tail -5

Output

IP-9TZ6LQ Licence to Be Haunted (Residential) → issued
  [clerk/incomplete] Dear Bartholomew, Mrs Pell sounds delightful, but 'Any time she fancies' fails the rule: 'Must be specific hours, and must not overlap school nights past 22:00.' We cannot have spectres roaming past ten without a schedule. Please file the requested form. (form 88-H)
  [clerk/complete] Mr Quince, your schedule for Mrs Pell is now entirely acceptable. The spoons may rattle in peace between seven and nine. Your Licence to Be Haunted is hereby approved. Do try to keep her away from the good silver.
start-review | reviewed | intake→awaiting-citizen | resubmit | awaiting-citizen→intake | start-review | reviewed | intake→stamping | approve | stamping→issued
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

1 message not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits && cat >> BUILD-LOG.md <...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits && cat >> BUILD-LOG.md <<'EOF'
- **Public site (Next.js 16)** written in one pass: catalogue, application form, live file page, officials' desk, and "How it works". The file page polls the instance: every 1.5 s while an agent works, every 4 s otherwise. Its movement log is built from `instance.history`, and each transition shows the GROQ `when` that fired it, read from the definition snapshot pinned on the instance.
- **Visual direction:** a government form, not a SaaS landing page. Paper and manila colours, Public Sans (the US government design-system typeface), Source Serif for headings, IBM Plex Mono for form numbers, and rubber stamps that sit slightly crooked using `mix-blend-mode: multiply`.
- **Clerk bug found in a browser run.** On a haunting licence with consent answered "Yes", the clerk twice demanded Form 88-H ("must be yes") and then rejected the citizen's reply to that very form. Two causes. First, the prompt let it rule "incomplete" without quoting the failing answer. Second, the earlier memos it sees didn't include the *question* of the form it had requested, so it couldn't recognise the reply as the completed form… [417 chars trimmed]

Output

ok
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

6 messages not shown

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf" && D=sanity-workflow-sdk-0.36.0/package/dist/index.d.ts; sed -n 53,77p $D; grep -n "^import\|^export {" $D | head; E=sanity-workflow-engine-0.36.0/package/dist/index.d.ts; grep -n "export declare interface InstancesQueryFilter" -A30 $E | grep -vE "^[0-9]+-\s+\*" | head -20; R=sanity-workflow-react-0.36.0/package/dist/index.d.ts; grep -n "interface WorkflowSession \|interface WorkflowSession{" -A40 $R | grep -vE "^[0-9]+-\s+\*" | head -40

Output

/**
 * Build the App SDK-side engine once: the app client rebound to the engine's
 * state dataset, declaring this host so its events and history entries are
 * attributable to an App SDK app rather than an unlabelled browser.
 * `resourceClients` has no default — pass one to resolve subjects and refs
 * that live in another dataset. `effects` feeds {@link Engine.drainEffects}
 * for engines that drain effects in the app. Memoized on the config's
 * content, so inline `workflowResource` literals are fine; custom
 * `resourceClients` and `effects` values should still be stable. Must render
 * inside the App SDK's provider, and inside
 * {@link WorkflowTelemetryProvider} for the engine to emit.
 */
export declare function useWorkflowEngine({
  workflowResource,
  tag,
  resourceClients,
  effects,
}: {
  workflowResource: WorkflowResource;
  tag: string;
  resourceClients?: ResourceClientResolver;
  effects?: EngineEffectsArgs<SdkClient>;
}): Engine;

/** A live, filterable workflow-instance list observed through the App SDK. */
1:import { Engine } from "@sanity/workflow-engine";
2:import { EngineEffectsArgs } from "@sanity/workflow-engine";
3:import type { GdrUri } from "@sanity/wor… [1644 chars trimmed]

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf" && R=sanity-workflow-react-0.36.0/package/dist/index.d.ts; sed -n 483,560p $R | grep -vE "^\s+\*|/\*\*" ; E=sanity-workflow-engine-0.36.0/package/dist/index.d.ts; grep -n "export declare interface WorkflowEvaluation " -A40 $E | grep -vE "^[0-9]+-\s+\*|/\*\*" | head -30; grep -n "export declare interface ActionEvaluation\b\|export declare interface ActionVerdict\b" -A25 $E | grep -vE "^[0-9]+-\s+\*|/\*\*" | head -30

Output

guards: readonly MutationGuardDoc[] | undefined;
  tick: () => Promise<OperationResult>;
  fireAction: (args: {
    activity: string;
    action: string;
    params?: Record<string, unknown>;
  }) => Promise<OperationResult>;
  editField: {
    (args: {
      field: EditableFieldEvaluation;
      mode?: EditMode;
      value?: unknown;
    }): Promise<OperationResult>;
    (args: {
      target: EditFieldTarget;
      mode?: EditMode;
      value?: unknown;
    }): Promise<OperationResult>;
  };
  previewField: {
    (args: {
      field: EditableFieldEvaluation;
      mode?: EditMode;
      value?: unknown;
    }): void;
    (args: { target: EditFieldTarget; mode?: EditMode; value?: unknown }): void;
  };
  discardFieldPreview: {
    (field?: EditableFieldEvaluation): void;
    (target?: EditFieldTarget): void;
  };
}

export declare type WorkflowSessionHost = "studio" | "sdk" | "custom";

export declare const WorkflowSessionStarted: DefinedTelemetryLog<WorkflowSessionStartedData>;
10351:export declare interface WorkflowEvaluation {
10352-  instance: WorkflowInstance;
10353-  definition: WorkflowDefinition;
10357-  missingDocuments?: MissingDocument[];
10363-  blockingMissingDocum… [561 chars trimmed]

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf" && E=sanity-workflow-engine-0.36.0/package/dist/index.d.ts; for t in StageEvaluation ActivityEvaluation; do grep -n "export declare interface $t " -A30 $E | grep -vE "^[0-9]+-\s+\*|/\*\*" | head -14; done; grep -n "export declare type DisabledReason\b" -A12 $E | head -14; grep -n "export declare interface WorkflowProviderProps\|WorkflowTelemetryProvider" sanity-workflow-sdk-0.36.0/package/dist/index.d.ts | head -4

Output

7875:export declare interface StageEvaluation {
7876-  stage: Stage;
7878-  semantics?: Semantic[] | undefined;
7879-  activities: ActivityEvaluation[];
7880-  transitions: TransitionEvaluation[];
7883-  autonomy: StageAutonomy;
7884-}
7885-
7887-declare type StageFields<TField, TActivity, TTransition, TGuard, TEditable> = {
7888-  name: string;
7889-  semantics?: Semantic[] | undefined;
7890-  title?: string | undefined;
7891-  description?: string | undefined;
7892-  groups?: Group[] | undefined;
522:export declare interface ActivityEvaluation {
523-  activity: Activity;
525-  semantics?: Semantic[] | undefined;
526-  status: ActivityStatus;
532-  kind: ActivityKind;
538-  classification: ExecutorClassification;
546-  autonomy: AutonomyAnswer;
548-  pendingOnActor: boolean;
2889:export declare type DisabledReason =
2890-  | {
2891-      /**
2892-       * The action's condition evaluated falsy for this actor — the ONE
2893-       * engine-side gate (advisory, like every engine check). Sugar like
2894-       * `roles` desugared into this condition, so a role miss surfaces
2895-       * here too. Under filter-existence semantics a consumer renders the
2896-       * action ABSENT, ne… [310 chars trimmed]

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf" && E=sanity-workflow-engine-0.36.0/package/dist/index.d.ts; sed -n 522,560p $E | grep -vE "^\s+\*|/\*\*"; npm view @sanity/workflow-sdk dependencies --json

Output

export declare interface ActivityEvaluation {
  activity: Activity;
  semantics?: Semantic[] | undefined;
  status: ActivityStatus;
  kind: ActivityKind;
  classification: ExecutorClassification;
  autonomy: AutonomyAnswer;
  pendingOnActor: boolean;
  scopedOut: boolean;
{
  "dataloader": "^2.2.3",
  "@sanity/telemetry": "^1.1.0"
}
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

Agent

▸ Bash cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-chal...

Input

$ cd "/c/Users/user/AppData/Local/Temp/claude/C--Users-user-Desktop-sanity-challenge/23523501-313e-42ee-84b3-7aed61500188/scratchpad/wf" && E=sanity-workflow-engine-0.36.0/package/dist/index.d.ts; sed -n 560,600p $E | grep -vE "^\s+\*|/\*\*"

Output

unmetRequirements?: RequirementDescriptor[];
  requirementInsights?: Record<string, ConditionInsight>;
  filterInsight?: ConditionInsight;
  actions: ActionEvaluation[];
}

declare type ActivityFields<TField, TAction, TTarget, TGroup> = {
  name: string;
  semantics?: Semantic[] | undefined;
  title?: string | undefined;
  description?: string | undefined;
  groups?: Group[] | undefined;
  group?: TGroup | undefined;
  target?: TTarget | undefined;
  filter?: string | undefined;
  requirements?: GroqRequirement[] | undefined;
  actions?: TAction[] | undefined;
  fields?: TField[] | undefined;
};

export declare type ActivityKind = (typeof ACTIVITY_KINDS)[number];

export declare type ActivityName = string;

export declare type ActivityStatus = "active" | "done" | "skipped" | "failed";
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

1 message not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/desk && rm -rf node_modu...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/desk && rm -rf node_modules pnpm-lock.yaml eslint.config.mjs src/ExampleComponent.* && node -e "
const fs=require('fs');const p=JSON.parse(fs.readFileSync('package.json','utf8'));
p.dependencies={'@bureau/workflows':'workspace:*','@sanity/sdk':'^3.7.0','@sanity/sdk-react':'^3.7.0','@sanity/workflow-engine':'0.36.0','@sanity/workflow-react':'0.36.0','@sanity/workflow-sdk':'0.36.0','@sanity/workflow-components':'0.36.0','react':'^19.3.0','react-dom':'^19.3.0','styled-components':'^6.5.3'};
p.devDependencies={'@types/react':'^19','sanity':'^6.17.0','typescript':'^5'};
delete p.keywords; p.scripts.typecheck='tsc --noEmit';
fs.writeFileSync('package.json',JSON.stringify(p,null,2)+'\n')" && cd .. && pnpm install 2>&1 | grep -iE "warn|err|done" | head -12

Output

removed 'node_modules/.bin/acorn'
removed 'node_modules/.bin/acorn.CMD'
removed 'node_modules/.bin/acorn.ps1'
removed 'node_modules/.bin/browserslist'
removed 'node_modules/.bin/browserslist.CMD'
removed 'node_modules/.bin/browserslist.ps1'
removed 'node_modules/.bin/esbuild'
removed 'node_modules/.bin/esbuild.CMD'
removed 'node_modules/.bin/esbuild.ps1'
removed 'node_modules/.bin/eslint'
removed 'node_modules/.bin/eslint.CMD'
removed 'node_modules/.bin/eslint.ps1'
removed 'node_modules/.bin/jiti'
removed 'node_modules/.bin/jiti.CMD'
removed 'node_modules/.bin/jiti.ps1'
removed 'node_modules/.bin/prettier'
removed 'node_modules/.bin/prettier.CMD'
removed 'node_modules/.bin/prettier.ps1'
removed 'node_modules/.bin/rolldown'
removed 'node_modules/.bin/rolldown.CMD'
removed 'node_modules/.bin/rolldown.ps1'
removed 'node_modules/.bin/sanity'
removed 'node_modules/.bin/sanity.CMD'
removed 'node_modules/.bin/sanity.ps1'
removed 'node_modules/.bin/tsc'
removed 'node_modules/.bin/tsc.CMD'
removed 'node_modules/.bin/tsc.ps1'
removed 'node_modules/.bin/tsserver'
removed 'node_modules/.bin/tsserver.CMD'
removed 'node_modules/.bin/tsserver.ps1'
removed 'node_modules/.bin/tsx'
removed 'node_mod… [1210 chars trimmed]

73 messages not shown

Agent

Everything is deployed. One check is still blocked on you: IP-ZQ8YWL is still waiting at the Under-Secretary's desk, so I haven't seen a stamp from the Stamp Desk yet.

Your next steps:
1. In the Stamp Desk, click Stamp APPROVED on IP-ZQ8YWL and send me a screenshot.
- I'll then check that the engine recorded the stamp under your Sanity identity, not the server's token. The post's App SDK claim depends on that, so it stays unconfirmed until then.
- The desk shows your real name ("Signing as…"). Blur it in any screenshot that goes into the post.
2. Create the repo and push it. Run these yourself:
cd [REDACTED]\Desktop\bureau-of-imaginary-permits git init git add . git commit -m "initial commit" gh repo create malbolged/bureau-of-imaginary-permits --public --source . --push
submission/ and .env are in .gitignore, so neither gets pushed.

Live and verified:

What	Where
Public site	https://bureau-of-imaginary-permits.vercel.app (an express permit was issued in about 9 s in production)
Studio	https://imaginary-permits.sanity.studio
Stamp Desk	https://www.sanity.io/@o9gofjii1/application/fitcgnallbe1vgmbhcicvis9
Sanity	project `e23lrcxv`, 3 workflow definitions deployed

Ready on disk (in bureau-of-imaginary-permits\):
- README.md, and BUILD-LOG.md kept up to date as the build went.
- submission\post.md: the full DEV draft in the Path Two template, with the required first line and an explicit answer on which AI-native IDE was used. It still has three placeholders: screenshots, the desk screenshot and the session embed.
- submission\images\: 5 production screenshots (home, application form, file returned to the citizen, issued cloud certificate, How it works).
- submission\claude-code-session-path2.jsonl: 426 messages, 383 KB. It's sanitized: no name, email, company, username or Sanity user ID. I'll re-cut it at the very end so it includes everything up to then.

After your stamp, I'll:
- Verify the actor and update the post.
- Re-cut the session file.
- Give you the paste-ready post body and the upload steps.

13 messages not shown

You

we should first redesign the application it looks too vibecoded (colors, fonts ...)
we should gamify it, it should follow the "Papers, Please" game design
it should have a stamp approval/denial stamping animation

2 messages not shown

Agent

▸ Write C:\Users\user\.claude\projects\C--Users-user-Desktop-sanity-challenge\memory\...

Input

C:\Users\user\.claude\projects\C--Users-user-Desktop-sanity-challenge\memory\design-not-vibecoded.md

Output

File created successfully at: C:\Users\user\.claude\projects\C--Users-user-Desktop-sanity-challenge\memory\design-not-vibecoded.md

Agent

▸ Bash echo "- [Design: not vibecoded](design-not-vibecoded.md) — user rejects gener...

Input

$ echo "- [Design: not vibecoded](design-not-vibecoded.md) — user rejects generic UIs; commit to a bold reference-driven art direction + interaction" >> "/c/Users/user/.claude/projects/C--Users-user-Desktop-sanity-challenge/memory/MEMORY.md"

Output

(Bash completed with no output)

1 message not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits && cat >> BUILD-LOG.md <...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits && cat >> BUILD-LOG.md <<'EOF'

## 2026-10-01 (evening): the pivot

- **"We should first redesign the application. It looks too vibecoded (colors, fonts …). We should gamify it, it should follow the 'Papers, Please' game design. It should have a stamp approval/denial stamping animation."** This is the second time I've said "too vibecoded" across the two entries, so I took it as the real brief. The government-form look was tasteful but generic. Choices, all made in one round of three questions:
  - **The visitor plays the inspector at the booth.** Filing a permit stays as the second door, for citizens.
  - **Scoring uses planted discrepancies,** with the truth stored in Sanity.
  - **The look is a full pixel-art booth,** inspired by the game. No assets, names or text from it.
- **The scripted cases get their own workflow, `booth-inspection`.** It starts directly at the human stage (`window`). That keeps the LLM out of the game loop, and keeps game files out of the real staff in-tray, which filters by stage name.
- **Honesty note:** the cases at the window all arrive with the clerk's ruling "complete", because that's the premise: *… [1168 chars trimmed]

Output

[33m⚠[39m No generated runtime is here. Run `sanity-workflows blueprint generate` to emit one, unless a runtime you maintain yourself already serves these definitions.
[32m✔[39m 4 definition(s) passed validation (check only — dataset not contacted).
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

16 messages not shown

Agent

▸ Bash cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && grep -n "ex...

Input

$ cd /c/Users/user/Desktop/bureau-of-imaginary-permits/workflows && grep -n "export declare interface OperationResult" -A12 node_modules/@sanity/workflow-engine/dist/index.d.ts | grep -vE "^\S+-\s+\*|/\*\*" | head -10

Output

6662:export declare interface OperationResult {
6664-  instance: WorkflowInstance;
6666-  cascaded: number;
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

123 messages not shown

Agent

▸ Bash cd "/c/Users/user/.claude/projects/C--Users-user-Desktop-sanity-challenge/mem...

Input

$ cd "/c/Users/user/.claude/projects/C--Users-user-Desktop-sanity-challenge/memory" && python - <<'EOF'
p='sanity-challenge-path2.md'; s=open(p,encoding='utf8').read()
s=s.replace("Idea: **Bureau of Imaginary Permits**.","Idea: **Bureau of Imaginary Permits**. Pivoted 2026-10-01 evening (user: \"too vibecoded\", wants Papers-Please-style game + stamp animation) into a pixel-art inspector game at `/shift`: scripted `case` docs (truth stored in Sanity, authored clerk memos), `booth-inspection` workflow, server-side scoring, `shift` docs = leaderboard, Day 1 + Day 2 (bulletin changes rules). Citizen flow kept, restyled.")
s+="\n- Submission assets in `submission/` (gitignored): post.md / post-body.md (game version), images 00-cover..10, session jsonl cut by scratchpad `sanitize-path2.mjs` (re-run at the end). Image 11-stamp-desk needs a fresh user screenshot of the restyled desk (name blurred).\n"
open(p,'w',encoding='utf8').write(s)
EOF
echo ok

Output

ok
Shell cwd was reset to C:\Users\user\Desktop\sanity_challenge

The fries are gluten-free. The fryer isn't. An allergy agent that only works because the menu is a graph

Malbolged — Thu, 01 Oct 2026 11:46:08 +0000

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content

What I Built

Olive & Ember Allergy Concierge: an AI agent for a (fictional) Mediterranean grill in Dublin that tells guests with food allergies what they can actually eat, why, and what the kitchen can change to make a dish safe.

Ask a normal menu chatbot "are the fries gluten-free?" and it reads "Skin-on fries, sea salt" and says yes. It's wrong. The fries share Fryer 1 with battered cod, calamari and chicken goujons. A coeliac guest needs the swap to the gluten-free fries from the dedicated Fryer 2. That fact isn't in any description. It lives in a relationship: component → prepared on → shared equipment ← other components → ingredients → allergens.

The menu has plenty of these traps, all modelled rather than written down:

The Caesar is gluten-free only once the sourdough croutons (a removable component) are left off.
The flame-grilled vegetables look nut-free, but the romesco has almonds and hazelnuts.
The charred cauliflower looks vegan, but there's honey in the harissa dressing.
The slow-roast lamb hides fish and gluten inside the Worcestershire in its glaze (a sub-recipe inside a sub-recipe).
The vegan chocolate pot has no milk in the recipe, but the supplier's label says may contain milk.
The rice pilaf is made with chicken stock, so it's not vegetarian.

Guests tick their allergies (the 14 EU allergens) and diet, then ask in plain language. The agent answers with dish cards, and each card's verdict (safe, safe with changes, caution or unsafe) is computed from the content graph, not by the AI.

Demo

Live: https://olive-ember-allergen-agent.vercel.app

One-click demos (each link preselects the allergies and asks the question):

Each answer shows a trace of what the agent actually looked up (Queried menu graph → Read kitchen guidance → Verified N dishes), then groups the dishes into Safe as served, Safe with a change (with the exact "Ask the kitchen to…" fix) and Not for you today.

Answers take 30–90 seconds on the free Gemini tier.

Code

malbolged / olive-ember-allergen-agent

Olive & Ember · Allergen-safe menu agent

An AI allergy concierge for a (fictional) Mediterranean grill in Dublin. Guests pick their allergies and diet, ask questions in plain language, and get answers grounded in the restaurant's structured menu graph in Sanity plus a Sanity Context Knowledge Base of kitchen procedures and UK Food Standards Agency guidance.

Live demo: https://olive-ember-allergen-agent.vercel.app Public dataset: project a2iy46w2, dataset production (public read, e.g. all dishes)

Built for the DEV Sanity Challenge, Path One. Not medical or dietary advice.

Why structure matters here

"Is this dish safe for me?" can't be answered from menu prose. The fries have three clean ingredients, yet they are not gluten-free: they share Fryer 1 with battered cod and calamari. The Caesar is gluten-free only once the croutons are left off. The "vegan-looking" cauliflower has honey in its dressing. Those answers only exist as relationships:

dish ─▶ components[]

…

View on GitHub

How I Used Sanity

1. The menu is a graph, not a document

Six schema types in Sanity Studio: dish, component (sub-recipe), ingredient, allergen, equipment and guidanceArticle.

A dish is assembled from components. Each has a removable flag, and the dish lists supported substitutions (e.g. brioche bun → gluten-free bun, +€1.50).
A component has ingredients and at most one level of sub-components. That limit is enforced by a custom Studio validation, so every allergen roll-up is a fixed-depth GROQ projection.
An ingredient references the allergens it contains, the allergens its supplier says it may contain, and its animalOrigin, which drives the vegan and vegetarian checks.
A component is preparedOn equipment. Shared equipment passes the allergens of everything cooked on it to everything else cooked on it.

The seed has 14 allergens, 87 ingredients, 51 components, 8 stations and 25 dishes.

2. Two Sanity Context MCP endpoints, on purpose

A Context endpoint with a dataset source serves GROQ tools and ignores Knowledge Base sources. So the agent connects to two endpoints:

Endpoint	Mode	Source	Used for
`menu`	GROQ	dataset `a2iy46w2.production`, filtered to menu types	What is in this dish?
`guidance`	Knowledge Base	Knowledge Base "Olive & Ember allergen guidance"	How does the kitchen handle this? What does "may contain" mean? What happens if I react?

The Knowledge Base is built from two sources:

11 guidanceArticle documents from the same dataset (a dataset source): the shared-fryer policy, the allergy-order workflow, coeliac vs. gluten intolerance, how the kitchen defines vegan and vegetarian, the anaphylaxis procedure, and more.
The UK Food Standards Agency's Allergen guidance for food businesses (a website source).

The build turned these into 10 cited entries. It also caught a real conflict: my article said "112 in the EU" while the entry said "999 or 112". Resolving that is what made me pin the restaurant to Dublin, where both numbers work.

Tools the agent uses:

groq_query on the menu endpoint, walking dish → components → subComponents → ingredients → allergens in one query, and following shared equipment with *[_type == "component" && references(^._id)].
knowledge_base_read on the guidance endpoint, reading entries such as cross_contact and emergency_response/anaphylaxis_procedure.
Both endpoints' /initial-context payloads are fetched once and inlined into the system prompt, so the initial_context tool is dropped.

Here's the kind of query the agent writes on its own:

*[_type == "dish" && slug.current == $slug][0]{
  name,
  "equipment": components[].component->preparedOn[]->{
    name, shared,
    "sharedWith": *[_type == "component" && references(^._id)]{
      name,
      "allergens": array::unique(
        coalesce(ingredients[]->allergens[]->code, [])
        + coalesce(subComponents[]->ingredients[]->allergens[]->code, [])
      )
    }
  }
}

3. The LLM finds and explains; the graph decides

Safety is too important to leave to a language model's reading of a JSON blob. The same graph feeds a small pure function (evaluateDish). It rolls up contains, may contain and cross-contact, checks the diet against animalOrigin, and then searches the dish's removable components and substitutions for the smallest set of changes that makes it safe.

That function:

renders every dish card, and
is exposed to the agent as a verify_dishes tool that it must call before stating a verdict.

In testing, before I added verify_dishes, the agent told a peanut-allergic guest to avoid the falafel. The graph knew the peanut risk came only from the tahini sauce, which can be left off. With the tool, the agent's text and the card now agree: safe with changes, no tahini.

4. Editors stay in control

The GROQ filter and domain instructions for each endpoint live in the Context app, not in code. The kitchen's procedures live as ordinary Sanity documents that feed the Knowledge Base. When a chef changes a recipe or moves a dish to another fryer in the Studio, the next answer reflects it. There's no re-embedding and no prompt edit.

Sanity Project Details

Project ID: a2iy46w2
Dataset: production (public)
Browse the data:
- all dishes
- the fries' shared-fryer graph
Context endpoints: menu (GROQ mode) and guidance (Knowledge Base mode) in organization o9gofjii1.

Agent Session

The whole project was built in one session with Claude Code: challenge research, schema design, seed data, both Context endpoints and the Knowledge Base, the agent, the deployment and this post.

Building an allergen-safe menu agent on Sanity Context claude-opus-5-5

Agent

▸ AskUserQuestion {"questions":[{"question":"Which agent idea should I build? (Judges want an a...

Input

{"questions":[{"question":"Which agent idea should I build? (Judges want an agent that 'only works because the content was structured'.)","header":"Idea","multiSelect":false,"options":[{"label":"Aller...

Output

Your questions have been answered: "Which agent idea should I build? (Judges want an agent that 'only works because the content was structured'.)"="Allergen-safe menu agent (Recommended)". You can now continue with these answers in mind.

11 messages not shown

Agent

▸ Bash curl -sL https://www.sanity.io/docs/llms-full.txt -o "$TEMP/sanity-llms-full....

Input

$ curl -sL https://www.sanity.io/docs/llms-full.txt -o "$TEMP/sanity-llms-full.txt"; wc -c "$TEMP/sanity-llms-full.txt"; grep -n -iE 'knowledge base' "$TEMP/sanity-llms-full.txt" | head -60

Output

5269703 C:\Users\user\AppData\Local\Temp/sanity-llms-full.txt
8973:Sanity Context exposes the content kept in Sanity to your agents through a hosted, read-only MCP server, from your live dataset or from Knowledge Bases built ahead of time.
9671:Sanity Context is a hosted Model Context Protocol (MCP) server that gives AI agents structured, read-only access to your content. It serves your live dataset in GROQ mode, or material you have indexed ahead of time in Knowledge Base mode.
9678:- **Ground an agent in curated knowledge.** Build a Knowledge Base from datasets, websites, and files, and serve it as one indexed source.
9683:[Create a Knowledge Base](https://www.sanity.io/docs/ai/sanity-context-create-knowledge-base)
9686:![Dark mode UI of a 'Context' application's overview page, displaying sections for 'MCP endpoints' and 'Knowledge bases' with lists of associated items and their statuses.](https://cdn.sanity.io/images/3do82whm/next/1ab1ef0b069bc1bbcebb78e50fe58b266f316dde-2450x1506.png)
9712:Knowledge Base mode additionally requires at least one Knowledge Base that your token can read.
9718:Context serves content in one of two modes. GROQ mode queries your dataset at request time and suits structured, consistent content the schema can point an agent at. Knowledge Base mode serves an index built ahead of time and suits answers spread across prose from several sources. The mode determines which tools the endpoint serves. See [Context retrieval modes](https://www.sanity.io/docs/ai/sanity-context-retrieval-modes).
9726:At the start of a conversation the agent orients itself through initial context, which is mode-aware: a compressed schema overview in GROQ mode, or the Knowledge Base outline in Knowledge Base mode. If you control the system prompt you can fetch it over HTTP and skip the tool call. See [Inline initial context into your system prompt](https://www.sanity.io/docs/ai/sanity-context-initial-context).
9728:### Knowledge Bases
9730:A Knowledge Base is a pre-built index over material you choose: datasets, websites, uploaded files. A build reads the material ahead of time, resolves conflicts between sources, and writes entries an agent can retrieve directly. See [Knowledge Bases](https://www.sanity.io/docs/ai/sanity-context-knowledge-bases) and [Knowledge Base source types](https://www.sanity.io/docs/ai/sanity-context-source-types). Once a Knowledge Base is live, you [keep it current](https://www.sanity.io/docs/ai/sanity-context-maintain-knowledge-base) and [resolve the issues a build raises](https://www.sanity.io/docs/ai/sanity-context-resolve-issues).
9740:- Knowledge Bases are an opt-in beta feature, and limits may change before general availability. If you are on an Enterprise plan and need higher limits, talk to your Sanity representative.
9872:- [Context retrieval modes](https://www.sanity.io/docs/ai/sanity-context-retrieval-modes). Decide between querying your dataset and building a Knowledge Base.
9879:Sanity Context has two retrieval modes, and they solve different problems. GROQ mode queries your dataset at request time. Knowledge Base mode serves an index built from your material ahead of time. The mode determines which tools Context MCP serves and how an agent finds an answer.
9887:One prerequisite comes with it: an MCP with a dataset source needs a deployed schema for that project and dataset (run `sanity schema deploy` from a Studio on v5.1.0 or later), since that is where the GROQ tools read the schema. An MCP with only Knowledge Base sources doesn't.
9889:## When Knowledge Base mode fits
9891:Use a Knowledge Base when locating the answer is the hard part. "Is this industrial latex food-safe?" may depend on a specification, a compliance memo, and a support article. The pre-generated index gives the agent a strong hypothesis about where the answer lives before it starts reading.
9893:Building from Sanity data also gives you somewhere to apply corrections. When an issue comes from conflicting content, fix the content in the dataset. The next build inherits the correction. See [Knowledge Bases](https://www.sanity.io/docs/ai/sanity-context-knowledge-bases).
9897:Use GROQ mode for tabular data and Knowledge Bases for knowledge. For cases in between, such as a catalog where useful details live in prose fields, enable [dataset embeddings](https://www.sanity.io/docs/content-lake/dataset-embeddings) and stay in GROQ mode. GROQ can then combine structured filters with semantic similarity in the same query.
9899:Enabling embeddings is how you cover that middle ground, not mixing source types. An MCP serves one source type: if you attach both a dataset source and Knowledge Base sources, the dataset source wins and the Knowledge Base sources are ignored. The agent gets the GROQ tools, no way to read the Knowledge Bases, and no error explaining why.
9911:You don't set the mode directly. An MCP's sources determine it: attach a dataset source and the endpoint serves GROQ mode; attach only Knowledge Base sources and it serves Knowledge Base mode. Changing the sources changes what the endpoint serves without touching the agent. To override the mode for a single connection, add `?mode=groq` or `?mode=knowledge_base` to the endpoint URL. See [Configure an MCP](https://www.sanity.io/docs/ai/sanity-context-configure-mcp).
9915:> Because the mode is derived from sources, a source that doesn't resolve changes what the endpoint serves. A dataset source id must be `<projectId>.<datasetName>`; a malformed id is skipped, and an MCP with no other dataset source becomes a Knowledge Base mode endpoint. The GROQ tools are gone, and if there are no Knowledge Base sources either, the connection is refused with `Mode is set to "knowledge_base" but no knowledge bases are configured. Add knowledge-base sources to the MCP endpoint, or switch mode to "groq".`
9921:- [Knowledge Bases](https://www.sanity.io/docs/ai/sanity-context-knowledge-bases). What a Knowledge Base holds and how it gets built.
9938:Initial context is mode-aware. In GROQ mode it returns a compressed schema overview along with instructions on how to query your content. In Knowledge Base mode it returns the outline of the Knowledge Bases the endpoint serves. Both modes also carry query-efficiency and grounding instructions plus a list of the tools the endpoint serves, so the text you inline contains behavioral instructions as well as data. Reconcile them with your own.
10024:An inlined payload is a snapshot. It goes stale when your schema changes in GROQ mode, or when a build rewrites the outline in Knowledge Base mode. Refetch it on deploy at minimum, and after any Knowledge Base rebuild.
10033:# Knowledge Bases
10037:> Knowledge Bases are available as an opt-in beta feature. Features and limits may change before general availability. If you are on an Enterprise plan and need higher limits, talk to your Sanity representative.
10041:A Knowledge Base belongs to an organization and can draw on sources from more than one project. Instead of reading and reconciling sources at query time, a build reads them ahead of time, resolves conflicts, and writes a set of entries an agent can retrieve from directly.
10043:An agent is only as good as the knowledge it can find. Information spread through prose is the hard case (documents in a Sanity dataset, website subfolders, PDFs, and other files). A Knowledge Base raises that ceiling by reconciling it ahead of time rather than on every question. For when to reach for one instead of GROQ mode, see [Context retrieval modes](https://www.sanity.io/docs/ai/sanity-context-retrieval-modes). To build one, see [Create a Knowledge Base](https://www.sanity.io/docs/ai/sanity-context-create-knowledge-base).
10045:An organization admin can enable Context Knowledge Bases from the [Labs page](https://www.sanity.io/manage/org/labs) of your organization in Manage.
10049:Every Knowledge Base has a purpose: one or two sentences describing who it serves and what it should help with. You write it when you create the Knowledge Base, and it works at both ends of the pipeline.
10053:Agents read the purpose too. It heads the outline in initial context, right after the title, so it frames what the Knowledge Base is for before the agent chooses what to read.
10057:The outline is the pre-generated index for a Knowledge Base. It contains every entry path and a one-line summary of what the entry covers. Entries that are more or less central to the purpose carry a `[core]` or `[peripheral]` tag.
10086:Each entry is a Markdown document written from the Knowledge Base's sources, with citations back to the original source.
10088:Entries belong to a build. Every build can rewrite them, and they cannot be edited by hand. To change what a Knowledge Base says, update the source or add an instruction.
10094:A Knowledge Base detects conflicts during the build and raises an issue. The issue shows the claims side by side with where each came from, and you resolve it by choosing which claim is ground truth. Issues also flag structural problems: a topic the outline misses, an entry whose sources are gone, or one that has grown to cover two subjects. You apply those rather than resolving them. Coverage gaps are recorded but not surfaced for review. For how to work through the issues you can act on, see [Resolve Knowledge Base issues](https://www.sanity.io/docs/ai/sanity-context-resolve-issues).
10114:- [Create a Knowledge Base](https://www.sanity.io/docs/ai/sanity-context-create-knowledge-base): build one from your sources and review the result.
10115:- [Knowledge Base source types](https://www.sanity.io/docs/ai/sanity-context-source-types): what datasets, websites, and files each accept.
10116:- [Keep a Knowledge Base current](https://www.sanity.io/docs/ai/sanity-context-maintain-knowledge-base): refresh schedules and rebuilds.
10120:# Knowledge Base source types
10124:> Knowledge Bases are available as an opt-in beta feature. Features and limits may change before general availability. If you are on an Enterprise plan and need higher limits, talk to your Sanity representative.
10128:A Knowledge Base draws on three kinds of source. A dataset source reads documents from a Sanity dataset, a website source crawls from a starting URL, and a file source ingests uploaded documents. One Knowledge Base can combine all three kinds, and it needs at least one source. Dataset and website sources are re-checked on the Knowledge Base's refresh schedule. That schedule is one setting for the whole Knowledge Base rather than a setting per source, and uploaded files are never re-checked.
10134:A Knowledge Base binds one dataset. To point at a different dataset, remove the dataset source and add a new one; the query itself stays editable. Website and file sources can be added repeatedly. A dataset source reads published documents only, and a query that matches nothing is rejected. Connecting one takes a role on the source project that can create datasets, which among the default roles means Administrator or Developer, plus unrestricted read access to the dataset itself. A role whose read grant is filtered to a subset of documents is not enough. One dataset source matches at most 5,000 documents, so narrow the query if you exceed that.
10169:- [Create a Knowledge Base](https://www.sanity.io/docs/ai/sanity-context-create-knowledge-base). Add a source and run the first build.
10170:- [Keep a Knowledge Base current](https://www.sanity.io/docs/ai/sanity-context-maintain-knowledge-base). Which sources refresh, and how often.
10174:# Create a Knowledge Base
10178:> Knowledge Bases are available as an opt-in beta feature. Features and limits may change before general availability. If you are on an Enterprise plan and need higher limits, talk to your Sanity representative.
10182:A Knowledge Base turns material you already have (a dataset, a website, a set of files) into an index an agent can retrieve from. This guide takes you from an empty Knowledge Base to a built one you have reviewed and connected to an agent.
10187:- **Material to build from:** a website, files, or documents in a Sanity dataset. See [Knowledge Base source types](https://www.sanity.io/docs/ai/sanity-context-source-types) for what each accepts.
10188:- **Room on your plan:** your organization's plan caps how many Knowledge Bases it can hold. Creating one beyond that cap fails with a plan-limit error.
10190:## Title the Knowledge Base and write a purpose
10192:In the Sanity Dashboard, open **Context** and click **New knowledge base**. Enter a short, human-readable **Title** such as `Vandelay support`, then a **Purpose** of one or two sentences describing the audience and the job it should help with.
10194:Click **Create knowledge base**. Sanity creates the Knowledge Base and opens it so you can add sources.
10196:The purpose is the starting point for the outline, before Context has read any material. "Customer-facing support Knowledge Base for Vandelay Industries. Covers importing, exporting, product specs, ordering, and returns" gives the build more to work with than "Vandelay docs." The purpose also decides which entries the build tags as core, and agents read it at the head of the outline.
10200:A Knowledge Base needs at least one source. Click **Add source** and choose **Dataset**, **Website**, or **Files**.
10202:For the first build, use a focused set of current material you trust. This makes the result easier to review and leaves stale duplicates out of the build. If the material changes regularly, connect it as a dataset or website source rather than uploading a snapshot. Your organization's plan also caps how many sources a Knowledge Base can hold, enforced when you build.
10212:When the build finishes, open **Entries** to see the tree and what was written. Check that the topics you expected are present and that the summaries describe them accurately. **Issues** contains conflicts and other questions that need a decision. Start with the ones that could change important answers. See [Resolve Knowledge Base issues](https://www.sanity.io/docs/ai/sanity-context-resolve-issues).
10214:![A screenshot of entries from a knowledge base, showing the entries structure and the contents of a single entry.](https://cdn.sanity.io/images/3do82whm/next/b485b4a7c6cea69177fd24fdd105d843abf00e0c-2776x1800.png)
10216:Then test the Knowledge Base through an agent with questions people will actually ask. "What is the return window on bulk orders?" gives you something specific to check. "Tell me about Vandelay" does not.
10218:## Serve a Knowledge Base to an agent
10220:Agents read Knowledge Bases through Context MCP. Two query parameters switch the endpoint to Knowledge Base mode:

Agent

▸ Bash F="$TEMP/sanity-llms-full.txt"; sed -n 9700,9716p "$F"; echo ......; grep -n ...

Input

$ F="$TEMP/sanity-llms-full.txt"; sed -n 9700,9716p "$F"; echo ......; grep -n '^# Configure an MCP' "$F"; L=$(grep -n '^# Configure an MCP' "$F" | head -1 | cut -d: -f1); sed -n "${L},$((L+90))p" "$F"; echo .....; sed -n 10128,10168p "$F"

Output

- **Context enabled for your organization.** An organization admin can enable it from the [Labs page](https://www.sanity.io/manage/org/labs) of your organization in Manage.
- **An organization API token with Context Viewer permissions.** Create it under Manage > API > Tokens at the organization level, and keep it server-side. Viewer is the least privilege that works; Editor also works.
- **A model and API key.** Simple schemas and questions work with small, fast models. If the agent picks the wrong tool or writes malformed GROQ, move to a more capable model.
- **Optionally, a frontend application to host the agent.** Next.js, for example.

GROQ mode additionally requires:

- **A Sanity project** with content.
- **Sanity Studio 5.1.0 or later** for server-side schema support.
- **A deployed schema.** Run `sanity schema deploy`, or open your hosted Studio once if you deploy with `sanity deploy`.

Knowledge Base mode additionally requires at least one Knowledge Base that your token can read.

## Core concepts

### Retrieval modes
......
11329:# Configure an MCP
# Configure an MCP

An MCP defines what an agent can access and how it should behave. Configuration lives in the Context app rather than in your agent code, so it's visible to your team, editable by non-developers, and shared across environments. This guide creates one and connects an agent to it.

> [!NOTE]
> Prefer to use AI?
> [Enable the agent skills](https://www.sanity.io/docs/ai/sanity-context-quick-start) to have AI help you configure the Context MCP.

## Prerequisites

Context enabled for your organization, an organization API token with Context Viewer permissions, created under Manage > API > Tokens, and a deployed schema (run `sanity schema deploy`, Studio v5.1.0 or later) if the endpoint has a dataset source. See [Sanity Context](https://www.sanity.io/docs/ai/sanity-context) for the full list.

## Create the MCP

In the Context app in the Dashboard, create an MCP and fill in its fields. For what each field does, see [Context MCP](https://www.sanity.io/docs/ai/sanity-context-mcp). The Context app shows the endpoint URL once you save.

## Scope what the agent can read

A GROQ filter limits which documents the agent can reach in GROQ mode. It accepts a filter expression only — the part inside the `[ ... ]` of a full query, evaluating to true or false for one document at a time.

Three things that don't belong in a filter:

- Projection syntax such as `{ name, price }`. Move projections to the agent's queries instead.
- Ordering or slicing such as `order(...)` or `[0...10]`.
- A full query — anything starting with `*[...]`. Filters nested inside an expression are fine.

An invalid filter is rejected with a 422 and the parser error in the response body.

> [!NOTE]
> A filter that matches nothing looks like a broken connection
> A filter like `_type == "product" && public == true` returns no results if no product has `public: true`. If the agent reports empty results, check the filter before checking the connection.

## Connect an agent to the endpoint

Use the endpoint URL from the Context app to connect an MCP client. This example uses the Vercel AI SDK:

**index.ts**

```typescript
import {createMCPClient} from '@ai-sdk/mcp'

const mcpClient = await createMCPClient({
  transport: {
    type: 'http',
    url: 'https://api.sanity.io/v1/context/organizations/YOUR_ORGANIZATION_ID/mcp/YOUR_ENDPOINT_NAME',
    headers: {
      Authorization: `Bearer ${process.env.SANITY_ORGANIZATION_TOKEN}`,
    },
  },
})
```

Replace YOUR_ORGANIZATION_ID with your organization id and YOUR_ENDPOINT_NAME with the endpoint's name, which is chosen when you create the MCP and cannot be changed afterwards. SANITY_ORGANIZATION_TOKEN is the organization API token from your prerequisites; keep it server-side, since it carries organization-level permissions.

Verify the connection by listing the available tools:

**index.ts**

```typescript
const tools = await mcpClient.tools()
console.log(tools)
```

For an endpoint with a dataset source, the list includes `initial_context` and `groq_query`. If a tool is missing, check the endpoint's mode and any tools parameter: each tool is served only in the mode it belongs to, and a tools parameter narrows the list further. For the full tool list per mode, see [Context MCP tools](https://www.sanity.io/docs/ai/sanity-context-mcp-tools).

There are dedicated connect guides for the [Vercel AI SDK](https://www.sanity.io/docs/ai/sanity-context-vercel-ai-sdk), [OpenAI Agents SDK](https://www.sanity.io/docs/ai/sanity-context-openai-agents-sdk), and [LangChain](https://www.sanity.io/docs/ai/sanity-context-langchain).

## Next steps

- [Content access and security](https://www.sanity.io/docs/ai/sanity-context-security). How the token and the filter bound what an agent reads.
- [Context MCP tools](https://www.sanity.io/docs/ai/sanity-context-mcp-tools). Every tool the endpoint serves, by mode.



# Context MCP reference

Context MCP is the hosted Model Context Protocol server behind Sanity Context. It gives agents structured, read-only access to your content: in GROQ mode, the schema and the documents your configuration allows; in Knowledge Base mode, the Knowledge Bases you choose to serve. It doesn't run the agent loop itself, and it can't write back to your dataset; see [Mutations](https://www.sanity.io/docs/ai/sanity-context-mcp). To connect your first agent, start with [Sanity Context](https://www.sanity.io/docs/ai/sanity-context).

![Flowchart showing an Agent interacting with Context MCP, which loads config and queries content from Sanity Dataset.](https://cdn.sanity.io/images/3do82whm/next/73caf2dbec8d723e5ea46e311d4c52e833c065e6-1040x219.png)

## MCP configuration fields

An MCP defines what an agent can access and how it should behave. You create and manage MCPs in the Context app in the Dashboard; see [Configure an MCP](https://www.sanity.io/docs/ai/sanity-context-configure-mcp) for the procedure. Each MCP has the following fields:

- **title**. Required. A short, human-readable title for the endpoint, up to 100 characters. Shown only in the Context app, and freely editable.
- **name**. Required. The identifier the endpoint URL uses. Lowercase letters, numbers, and hyphens only, up to 64 characters, unique within your organization, and immutable after creation. Set it to something short and stable, like `support-bot`. Two shapes are reserved and rejected: `by-name`, and any name of the form `mcp` plus eight characters.
- **sources**. Required. What the endpoint serves: between 1 and 100 entries. A Knowledge Base source is `{"type": "knowledge-base", "id": "KNOWLEDGE_BASE_ID"}`, where `KNOWLEDGE_BASE_ID` is the Knowledge Base's public id. Public ids begin with `kb` and are not derived from anything else. A dataset source is `{"type": "dataset", "id": "PROJECT_ID.DATASET_NAME"}`. If an endpoint has both, the dataset source wins and knowledge-base sources are ignored.
- **instructions**. Optional. Custom instructions for the agent, in plain language, up to 10,000 characters. For example: "Only answer questions about product documentation; for anything else, suggest contacting support."
- **groqFilter**. Optional. A GROQ filter expression, up to 10,000 characters, that limits which documents the agent can read. It scopes dataset sources only. See [Filtering content](https://www.sanity.io/docs/ai/sanity-context-mcp).

There is no `mode` field and no `knowledgeBases` field. An endpoint's mode is derived from its sources: an endpoint with a dataset source serves GROQ mode, and an endpoint whose sources are all Knowledge Bases serves Knowledge Base mode. To change it for a single request, pass `?mode=` on the endpoint URL.
.....
A Knowledge Base draws on three kinds of source. A dataset source reads documents from a Sanity dataset, a website source crawls from a starting URL, and a file source ingests uploaded documents. One Knowledge Base can combine all three kinds, and it needs at least one source. Dataset and website sources are re-checked on the Knowledge Base's refresh schedule. That schedule is one setting for the whole Knowledge Base rather than a setting per source, and uploaded files are never re-checked.

## Dataset sources

Documents from a Sanity dataset, selected with a complete GROQ query such as `*[_type == "article"]`. Add a projection to control what each document carries, as in `*[_type == "article"]{title, body}`. The query has to select documents from the dataset, so a bare filter such as `_type == "article"` is rejected. Start with a narrow query; you can widen it later.

A Knowledge Base binds one dataset. To point at a different dataset, remove the dataset source and add a new one; the query itself stays editable. Website and file sources can be added repeatedly. A dataset source reads published documents only, and a query that matches nothing is rejected. Connecting one takes a role on the source project that can create datasets, which among the default roles means Administrator or Developer, plus unrestricted read access to the dataset itself. A role whose read grant is filtered to a subset of documents is not enough. One dataset source matches at most 5,000 documents, so narrow the query if you exceed that.

## Website sources

A crawl starting from a URL. Crawls respect `robots.txt`. Use the most specific URL you can. A docs section is usually more useful than a whole domain.

## File sources

Uploaded files never re-sync. To update one, delete the import and upload the new version; deleting an import removes every source it produced. Archives are expanded and their contents ingested individually, each by its own format.

A file source reads the formats below, subject to the size limits shown.

##### File formats and size limits

| Format | Maximum size |
| --- | --- |
| PDF | 500 MB |
| DOCX | 100 MB |
| PPTX | 100 MB |
| XLSX | 50 MB |
| HTML | 25 MB |
| PNG, JPEG, WebP, TIFF | 25 MB. Images under 50 KB skip text extraction. |
| AsciiDoc | 25 MB |
| Markdown, plain text | Ingested directly |
| Source code, JSON, XML, CSV, TSV, YAML, and other plain-text formats | Ingested verbatim |
| ZIP, TAR, and TAR.GZ archives | Expanded, then each file ingested by its own format |

Around forty further text formats are ingested verbatim in the same way, so the table is not the full list of what a file source reads. A file in a format with no handler is not rejected: it is recorded with its metadata, but its contents are not read. Every upload is capped at 5 GiB, and for the formats listed above the per-format limit applies first.

## Choosing between connecting and uploading

If the material changes regularly, connect it as a dataset or website source rather than uploading a snapshot. Uploads are right for material that is fixed, or that has no addressable source, such as a signed policy PDF or an export from a system Context cannot reach.

## Next steps

4 messages not shown

Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/studio/schemaTypes cat > allergen.t...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/studio/schemaTypes
cat > allergen.ts <<'EOF'
import {defineField, defineType} from 'sanity'

// The 14 allergens of EU Regulation 1169/2011 Annex II. Codes are stable identifiers the app and agent filter on.
export const allergen = defineType({
  name: 'allergen',
  title: 'Allergen',
  type: 'document',
  fields: [
    defineField({name: 'name', type: 'string', validation: (r) => r.required()}),
    defineField({
      name: 'code',
      type: 'string',
      description: 'Stable lowercase id, e.g. "gluten", "tree-nuts". Used in filters.',
      validation: (r) => r.required().regex(/^[a-z-]+$/),
    }),
    defineField({name: 'annexNumber', title: 'EU Annex II number', type: 'number', validation: (r) => r.required().min(1).max(14).integer()}),
    defineField({name: 'icon', type: 'string', description: 'Single emoji shown on menu badges'}),
    defineField({
      name: 'alsoKnownAs',
      type: 'array',
      of: [{type: 'string'}],
      description: 'Names guests use for this allergen or its sources (e.g. "spelt", "semolina" for gluten)',
      options: {layout: 'tags'},
    }),
    defineField({name: 'description', type: 'text', rows: 3}),
  ],
  orderings: [{title: 'Annex order', name: 'annex', by: [{field: 'annexNumber', direction: 'asc'}]}],
  preview: {select: {title: 'name', icon: 'icon', n: 'annexNumber'}, prepare: ({title, icon, n}) => ({title: `${icon ?? ''} ${title}`, subtitle: `Annex II #${n}`})},
})
EOF
cat > ingredient.ts <<'EOF'
import {defineField, defineType} from 'sanity'

export const ANIMAL_ORIGIN = [
  {title: 'None (plant / mineral)', value: 'none'},
  {title: 'Dairy', value: 'dairy'},
  {title: 'Egg', value: 'egg'},
  {title: 'Honey', value: 'honey'},
  {title: 'Meat', value: 'meat'},
  {title: 'Fish', value: 'fish'},
  {title: 'Shellfish', value: 'shellfish'},
]

export const ingredient = defineType({
  name: 'ingredient',
  title: 'Ingredient',
  type: 'document',
  fields: [
    defineField({name: 'name', type: 'string', validation: (r) => r.required()}),
    defineField({name: 'slug', type: 'slug', options: {source: 'name'}, validation: (r) => r.required()}),
    defineField({
      name: 'allergens',
      title: 'Contains allergens',
      type: 'array',
      of: [{type: 'reference', to: [{type: 'allergen'}]}],
      description: 'Allergens this ingredient itself contains. Leave empty if none.',
    }),
    defineField({
      name: 'mayContain',
      title: 'Supplier "may contain"',
      type: 'array',
      of: [{type: 'reference', to: [{type: 'allergen'}]}],
      description: 'Precautionary allergen labelling from the supplier spec sheet (cross-contact at the factory).',
    }),
    defineField({
      name: 'animalOrigin',
      type: 'string',
      options: {list: ANIMAL_ORIGIN, layout: 'radio'},
      initialValue: 'none',
      validation: (r) => r.required(),
      description: 'Drives vegan / vegetarian / pescatarian verdicts.',
    }),
    defineField({name: 'supplier', type: 'string'}),
    defineField({name: 'notes', type: 'text', rows: 2}),
  ],
  preview: {
    select: {title: 'name', a0: 'allergens.0.name', a1: 'allergens.1.name', a2: 'allergens.2.name'},
    prepare: ({title, a0, a1, a2}) => ({title, subtitle: [a0, a1, a2].filter(Boolean).join(', ') || 'No allergens'}),
  },
})
EOF
cat > equipment.ts <<'EOF'
import {defineField, defineType} from 'sanity'

// Shared equipment is how cross-contact enters a dish whose own ingredients are clean
// (the classic case: gluten-free fries cooked in the same oil as battered fish).
export const equipment = defineType({
  name: 'equipment',
  title: 'Equipment / station',
  type: 'document',
  fields: [
    defineField({name: 'name', type: 'string', validation: (r) => r.required()}),
    defineField({
      name: 'shared',
      type: 'boolean',
      initialValue: true,
      description: 'Shared equipment passes the allergens of everything cooked on it to everything else cooked on it.',
    }),
    defineField({name: 'notes', type: 'text', rows: 2}),
  ],
})
EOF
cat > component.ts <<'EOF'
import {defineField, defineType} from 'sanity'

// A sub-recipe: sauce, bread, dressing, garnish. Dishes are assembled from components.
// Nesting is capped at one level (a component may use components that themselves use none)
// so every allergen roll-up is a fixed-depth GROQ projection.
export const component = defineType({
  name: 'component',
  title: 'Component (sub-recipe)',
  type: 'document',
  fields: [
    defineField({name: 'name', type: 'string', validation: (r) => r.required()}),
    defineField({name: 'slug', type: 'slug', options: {source: 'name'}, validation: (r) => r.required()}),
    defineField({
      name: 'ingredients',
      type: 'array',
      of: [{type: 'reference', to: [{type: 'ingredient'}]}],
      validation: (r) => r.required().min(1),
    }),
    defineField({
      name: 'subComponents',
      type: 'array',
      of: [{type: 'reference', to: [{type: 'component'}]}],
      description: 'Other components used inside this one (one level deep only).',
      validation: (r) =>
        r.custom(async (value, context) => {
          if (!value?.length) return true
          const client = context.getClient({apiVersion: '2026-03-03'})
          const ids = (value as {_ref: string}[]).map((v) => v._ref)
          const nested = await client.fetch<number>('count(*[_id in $ids && count(subComponents) > 0])', {ids})
          return nested === 0 || 'Sub-components cannot have their own sub-components (max one level).'
        }),
    }),
    defineField({
      name: 'preparedOn',
      type: 'array',
      of: [{type: 'reference', to: [{type: 'equipment'}]}],
      description: 'Equipment/stations this component touches. Drives cross-contact.',
    }),
    defineField({name: 'notes', type: 'text', rows: 2}),
  ],
})
EOF
cat > dish.ts <<'EOF'
import {defineArrayMember, defineField, defineType} from 'sanity'

export const MENU_SECTIONS = [
  {title: 'Small plates', value: 'small-plates'},
  {title: 'Mains', value: 'mains'},
  {title: 'Sides', value: 'sides'},
  {title: 'Desserts', value: 'desserts'},
  {title: 'Kids', value: 'kids'},
]

export const dish = defineType({
  name: 'dish',
  title: 'Dish',
  type: 'document',
  fields: [
    defineField({name: 'name', type: 'string', validation: (r) => r.required()}),
    defineField({name: 'slug', type: 'slug', options: {source: 'name'}, validation: (r) => r.required()}),
    defineField({name: 'section', type: 'string', options: {list: MENU_SECTIONS}, validation: (r) => r.required()}),
    defineField({name: 'price', title: 'Price (EUR)', type: 'number', validation: (r) => r.required().positive()}),
    defineField({name: 'description', type: 'text', rows: 2}),
    defineField({name: 'available', type: 'boolean', initialValue: true}),
    defineField({name: 'spiceLevel', type: 'number', options: {list: [0, 1, 2, 3]}, initialValue: 0}),
    defineField({
      name: 'components',
      type: 'array',
      validation: (r) => r.required().min(1),
      of: [
        defineArrayMember({
          name: 'dishComponent',
          type: 'object',
          fields: [
            defineField({name: 'component', type: 'reference', to: [{type: 'component'}], validation: (r) => r.required()}),
            defineField({
              name: 'removable',
              type: 'boolean',
              initialValue: false,
              description: 'Kitchen can leave this off on request without remaking the dish.',
            }),
          ],
          preview: {
            select: {title: 'component.name', removable: 'removable'},
            prepare: ({title, removable}) => ({title, subtitle: removable ? 'Can be left off' : 'Fixed'}),
          },
        }),
      ],
    }),
    defineField({
      name: 'substitutions',
      type: 'array',
      description: 'Swaps the kitchen supports, e.g. brioche bun -> gluten-free bun.',
      of: [
        defineArrayMember({
          name: 'substitution',
          type: 'object',
          fields: [
            defineField({name: 'replaces', type: 'reference', to: [{type: 'component'}], validation: (r) => r.required()}),
            defineField({name: 'with', type: 'reference', to: [{type: 'component'}], validation: (r) => r.required()}),
            defineField({name: 'surcharge', title: 'Surcharge (EUR)', type: 'number', initialValue: 0}),
          ],
          preview: {
            select: {a: 'replaces.name', b: 'with.name', s: 'surcharge'},
            prepare: ({a, b, s}) => ({title: `${a} → ${b}`, subtitle: s ? `+€${s}` : 'No charge'}),
          },
        }),
      ],
    }),
  ],
  preview: {select: {title: 'name', section: 'section', price: 'price'}, prepare: ({title, section, price}) => ({title, subtitle: `${section} · €${price}`})},
})
EOF
cat > guidanceArticle.ts <<'EOF'
import {defineField, defineType} from 'sanity'

// Prose knowledge (kitchen procedures, policies, definitions). Indexed into the
// Knowledge Base via a dataset source; deliberately excluded from the GROQ-mode menu endpoint.
export const guidanceArticle = defineType({
  name: 'guidanceArticle',
  title: 'Guidance article',
  type: 'document',
  fields: [
    defineField({name: 'title', type: 'string', validation: (r) => r.required()}),
    defineField({name: 'slug', type: 'slug', options: {source: 'title'}, validation: (r) => r.required()}),
    defineField({
      name: 'category',
      type: 'string',
      options: {list: ['kitchen-procedure', 'policy', 'allergen-reference', 'supplier-spec']},
      validation: (r) => r.required(),
    }),
    defineField({name: 'body', type: 'text', rows: 20, description: 'Markdown', validation: (r) => r.required()}),
  ],
})
EOF
cat > index.ts <<'EOF'
import {allergen} from './allergen'
import {component} from './component'
import {dish} from './dish'
import {equipment} from './equipment'
import {guidanceArticle} from './guidanceArticle'
import {ingredient} from './ingredient'

export const schemaTypes = [dish, component, ingredient, allergen, equipment, guidanceArticle]
EOF
ls

Output

Exit code 2
/usr/bin/bash: -c: line 167: unexpected EOF while looking for matching `''

18 messages not shown

You

<task-notification>
<task-id>ac78a8f7d51fccdff</task-id>
<tool-use-id>toolu_016vJSdtnAdcgxSCfBn6DNkJ</tool-use-id>
<output-file>[REDACTED]\AppData\Local\Temp\claude\C--Users-user-Desktop-sanity-challenge\23523501-313e-42ee-84b3-7aed61500188\tasks\ac78a8f7d51fccdff.output</output-file>
<status>completed</status>
<summary>Agent "Seed data + guidance articles" finished</summary>
<note>A task-notification fires each time this agent stops with no live background children of its own. The user can send it another message and resume it, so the same task-id may notify more than once.</note>
<result>The seed data is written and the offline validator passes. seed.ts hasn't run yet; it needs the Sanity project and a write token first.

Files (all under studio/scripts/):
- data/: helpers.ts, allergens.ts, ingredients.ts, equipment.ts, components.ts, dishes.ts, guidance.ts, index.ts (exports allDocuments in the order they must be seeded)
- seed.ts: idempotent createOrReplace, written in chunks of 100, with a clear error if env vars are missing
- validate-data.ts: runs offline

Counts: 196 documents in total.

Type	Count
Allergens	14
Ingredients	87
Equipment	8 (Fryer 1 shared, Fryer 2 dedicated, grill, plancha, bread oven, GF toaster, pastry bench, cold prep)
Components	51
Dishes	25, across all 5 sections
Guidance articles	11, each 200–600 words with a fictional-demo disclaimer

I went over your targets on components (~30–35) and dishes (20–24). The extra halloumi salad puts the orphaned za'atar, capers and dressing to use.

Teaching cases:
- Honey: charred-cauliflower is vegan only if the harissa dressing comes off.
- Hidden nuts: flame-grilled-vegetables has romesco (tree nuts, plus gluten and sulphites).
- Croutons: ember-caesar is gluten-free only with the croutons removed.
- Supplier may-contain: vegan-chocolate-pot may contain milk and tree nuts (dark chocolate) and gluten (oat crumble).
- Unavailable: garlic-prawns.
- Shared fryer: plain fries have clean ingredients but pick up gluten, fish, molluscs, milk and eggs in Fryer 1.
- More hidden sources:
- falafel has a wheat binder.
- rice-pilaf uses chicken stock, so it isn't vegetarian.
- slow-roast-lamb-shoulder has fish and gluten from Worcestershire.
- The gluten-free flatbread swap contains lupin.

Validation: all references resolve, keys and slugs are unique, nesting stays at one level, and every substitution matches a component in its dish. No orphans remain. The data modules type-check under tsc --strict.

One deviation from your directive: IDs use hyphens (allergen-gluten), not dots. A dotted ID sits under a path in Sanity and is hidden from unauthenticated reads, which would break the public dataset.

Schema: no changes.</result>
<usage><subagent_tokens>176739</subagent_tokens><tool_uses>19</tool_uses><duration_ms>496009</duration_ms></usage>
</task-notification>

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Agent

▸ Bash curl -s "http://localhost:3100/api/dish/fries?avoid=gluten" | head -c 1500; e...

Input

$ curl -s "http://localhost:3100/api/dish/fries?avoid=gluten" | head -c 1500; echo; tail -5 "$TEMP/nextdev.log"

Output

{"dish":{"_id":"dish-fries","available":true,"components":[{"_key":"plain-fries","component":{"_id":"component-plain-fries","ingredients":[{"_id":"ingredient-potato","allergens":[],"animalOrigin":"none","mayContain":[],"name":"Maris Piper potatoes"},{"_id":"ingredient-sunflower-oil","allergens":[],"animalOrigin":"none","mayContain":[],"name":"Sunflower oil (fryer oil)"},{"_id":"ingredient-salt","allergens":[],"animalOrigin":"none","mayContain":[],"name":"Sea salt"}],"name":"Fries","preparedOn":[{"_id":"equipment-fryer-1","name":"Fryer 1 (shared)","shared":true,"sharedWith":[{"_id":"component-chicken-goujons","allergens":["gluten","eggs"],"name":"Chicken goujons","subAllergens":[]},{"_id":"component-crispy-battered-cod","allergens":["fish","gluten"],"name":"Crispy battered cod","subAllergens":[]},{"_id":"component-crispy-calamari","allergens":["molluscs","gluten","gluten"],"name":"Crispy calamari","subAllergens":[]},{"_id":"component-falafel","allergens":["gluten"],"name":"Falafel","subAllergens":[]},{"_id":"component-halloumi-fries","allergens":["milk"],"name":"Halloumi fries","subAllergens":[]},{"_id":"component-plain-fries","allergens":[],"name":"Fries","subAllergens":[]}]}],"slug":"plain-fries","subComponents":[]},"removable":false}],"description":"Skin-on fries, sea salt.","name":"Fries","price":4.5,"section":"sides","slug":"fries","spiceLevel":0,"substitutions":[{"_key":"plain-fries--gluten-free-fries","replaces":{"_id":"component-plain-fries","name":"Fries"},"surcharge"
 GET /api/dish/flame-grilled-vegetables?avoid=tree-nuts 200 in 175ms (next.js: 3ms, application-code: 173ms)
 GET /api/dish/charred-cauliflower?diet=vegan 200 in 138ms (next.js: 2ms, application-code: 136ms)
 GET /api/dish/vegan-chocolate-pot?avoid=milk 200 in 122ms (next.js: 8ms, application-code: 114ms)
 GET /api/dish/rice-pilaf?diet=vegetarian 200 in 84ms (next.js: 2.0ms, application-code: 82ms)
 GET /api/dish/fries?avoid=gluten 200 in 195ms (next.js: 11ms, application-code: 183ms)

Agent

▸ Bash for q in "fries?avoid=gluten" "ember-caesar?avoid=gluten" "flame-grilled-vege...

Input

$ for q in "fries?avoid=gluten" "ember-caesar?avoid=gluten" "flame-grilled-vegetables?avoid=tree-nuts" "charred-cauliflower?diet=vegan" "vegan-chocolate-pot?avoid=milk" "rice-pilaf?diet=vegetarian"; do echo "== $q"; curl -s "http://localhost:3100/api/dish/$q" | node -e 'let s="";process.stdin.on("data",d=>s+=d).on("end",()=>{const j=JSON.parse(s);const {dish,...rest}=j;console.log(JSON.stringify(rest).slice(0,600))})'; done

Output

== fries?avoid=gluten
{"evaluation":{"contains":[],"mayContain":[],"crossContact":[{"allergen":"eggs","equipment":"Fryer 1 (shared)","from":["Chicken goujons"]},{"allergen":"fish","equipment":"Fryer 1 (shared)","from":["Crispy battered cod"]},{"allergen":"gluten","equipment":"Fryer 1 (shared)","from":["Chicken goujons","Crispy battered cod","Crispy calamari","Falafel"]},{"allergen":"milk","equipment":"Fryer 1 (shared)","from":["Halloumi fries"]},{"allergen":"molluscs","equipment":"Fryer 1 (shared)","from":["Crispy calamari"]}],"dietIssues":[],"verdict":"safe-with-changes","hits":{"contains":[],"mayContain":[],"cros
== ember-caesar?avoid=gluten
{"evaluation":{"contains":["eggs","fish","gluten","milk","mustard"],"mayContain":[],"crossContact":[{"allergen":"sesame","equipment":"Bread oven","from":["Brioche bun"]}],"dietIssues":[],"verdict":"safe-with-changes","hits":{"contains":["gluten"],"mayContain":[],"crossContact":[]},"fixes":[{"type":"remove","component":"Sourdough croutons"}],"afterFixes":{"contains":["eggs","fish","milk","mustard"],"mayContain":[],"crossContact":[],"dietIssues":[],"hits":{"contains":[],"mayContain":[],"crossContact":[]}}},"preferences":{"avoid":["gluten"],"diet":null}}
== flame-grilled-vegetables?avoid=tree-nuts
{"evaluation":{"contains":["gluten","milk","sulphites","tree-nuts"],"mayContain":[],"crossContact":[],"dietIssues":[],"verdict":"safe-with-changes","hits":{"contains":["tree-nuts"],"mayContain":[],"crossContact":[]},"fixes":[{"type":"remove","component":"House red pepper sauce (romesco)"}],"afterFixes":{"contains":["milk"],"mayContain":[],"crossContact":[],"dietIssues":[],"hits":{"contains":[],"mayContain":[],"crossContact":[]}}},"preferences":{"avoid":["tree-nuts"],"diet":null}}
== charred-cauliflower?diet=vegan
{"evaluation":{"contains":["sesame"],"mayContain":["peanuts"],"crossContact":[{"allergen":"milk","equipment":"Charcoal grill","from":["Chicken shish","Grilled halloumi"]}],"dietIssues":[{"ingredient":"Wildflower honey","component":"Harissa dressing","animalOrigin":"honey"}],"verdict":"safe-with-changes","hits":{"contains":[],"mayContain":[],"crossContact":[]},"fixes":[{"type":"remove","component":"Harissa dressing"}],"afterFixes":{"contains":["sesame"],"mayContain":["peanuts"],"crossContact":[{"allergen":"milk","equipment":"Charcoal grill","from":["Chicken shish","Grilled halloumi"]}],"dietIss
== vegan-chocolate-pot?avoid=milk
{"evaluation":{"contains":["soybeans"],"mayContain":["gluten","milk","tree-nuts"],"crossContact":[],"dietIssues":[],"verdict":"caution","hits":{"contains":[],"mayContain":["milk"],"crossContact":[]},"fixes":[]},"preferences":{"avoid":["milk"],"diet":null}}
== rice-pilaf?diet=vegetarian
{"evaluation":{"contains":["celery","milk"],"mayContain":[],"crossContact":[],"dietIssues":[{"ingredient":"Chicken stock","component":"Rice pilaf","animalOrigin":"meat"}],"verdict":"unsafe","hits":{"contains":[],"mayContain":[],"crossContact":[]},"fixes":[]},"preferences":{"avoid":[],"diet":"vegetarian"}}

64 messages not shown

Agent

The source and filter are right. The Instructions box is still empty; fill it in before creating the endpoint.

Your steps

Paste this into Instructions: This dataset is the allergen graph of Olive & Ember, a (fictional) Mediterranean grill. A dish is assembled from components[] (each {component->, removable}); a component has ingredients[]-> and at most one level of subComponents[]->; an ingredient has allergens[]-> and mayContain[]-> (supplier precautionary labelling) and animalOrigin (none|dairy|egg|honey|meat|fish|shellfish). Allergens are the 14 EU Annex II allergens; always filter on allergen.code (gluten, crustaceans, eggs, fish, peanuts, soybeans, milk, tree-nuts, celery, mustard, sesame, sulphites, lupin, molluscs). A dish's allergens = allergens of its components' ingredients PLUS the ingredients of their subComponents. Never judge from names or descriptions. Cross-contact: a component's preparedOn[]-> equipment with shared == true exposes it to the allergens of every other component prepared on that equipment: *[_type == "component" && references($equipmentId)]. dish.substitutions[] ({replaces->, with->, surcharge}) and removable components are the only modifications the kitchen supports. Only recommend dishes with available == true.
Optional: click Preview to check that the filter returns documents.
Click Create endpoint.
Copy the endpoint URL into .env as SANITY_CONTEXT_MENU_MCP_URL=, then say "menu done".

Where things stand

Knowledge Base: building, or ready to build
menu endpoint: form filled except for Instructions
Next: I test the menu endpoint as soon as its URL is in .env

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Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge; set -a; . ./.env; set +a; echo "UR...

Input

$ cd /c/Users/user/Desktop/sanity_challenge; set -a; . ./.env; set +a; echo "URL: $SANITY_CONTEXT_MENU_MCP_URL"; H=(-H "Authorization: Bearer $SANITY_ORGANIZATION_TOKEN" -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream")
echo "== tools/list"; curl -s -X POST "$SANITY_CONTEXT_MENU_MCP_URL" "${H[@]}" -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | grep -oE '"name":"[a-z_]+"' | sort -u
echo "== initial-context"; curl -s -w "\n[%{http_code}]" "${SANITY_CONTEXT_MENU_MCP_URL%/}/initial-context" -H "Authorization: Bearer $SANITY_ORGANIZATION_TOKEN" | head -c 1500

Output

URL: https://api.sanity.io/v1/context/organizations/o9gofjii1/mcp/menu
== tools/list
"name":"array_field_reader"
"name":"groq_query"
"name":"initial_context"
"name":"schema_explorer"
== initial-context
## Olive & Ember menu graph: Context & Schema

### Context Instructions

This dataset is the allergen graph of Olive & Ember, a (fictional) Mediterranean grill.
A dish is assembled from components[] (each {component->, removable}); a component has ingredients[]-> and at most one level of subComponents[]->; an ingredient has allergens[]-> and mayContain[]-> (supplier precautionary labelling) and animalOrigin (none|dairy|egg|honey|meat|fish|shellfish).
Allergens are the 14 EU Annex II allergens; always filter on allergen.code (gluten, crustaceans, eggs, fish, peanuts, soybeans, milk, tree-nuts, celery, mustard, sesame, sulphites, lupin, molluscs).
A dish's allergens = allergens of its components' ingredients PLUS the ingredients of their subComponents. Never judge from names or descriptions.
Cross-contact: a component's preparedOn[]-> equipment with shared == true exposes it to the allergens of every other component prepared on that equipment: *[_type == "component" && references($equipmentId)].
dish.substitutions[] ({replaces->, with->, surcharge}) and removable components are the only modifications the kitchen supports.
Only recommend dishes with available == true.

### Efficiency

Prefer well-constructed queries over multiple exploratory calls.

### Accuracy

Only state what the data explicitly says. Don't infer, extrapolate, or connect dots that aren't there. Every claim should be grounded in content you retrieved.

If your query results are incomplete:
- Answer with what y

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Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/app; npx tsc --noEmit && echo TSC_O...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/app; npx tsc --noEmit && echo TSC_OK; : > "$TEMP/nextdev.log"; time curl -s -N -X POST http://localhost:3100/api/chat -H "Content-Type: application/json" --data @"$TEMP/chat1.json" --max-time 240 > "$TEMP/chat1.out"
cat > "$TEMP/show.js" <<'EOF'
const lines=require("fs").readFileSync(process.argv[2],"utf8").split("\n").filter(l=>l.startsWith("data: {"));
let text="";for(const l of lines){const e=JSON.parse(l.slice(6));
 if(e.type==="tool-input-available")console.log("TOOL",e.toolName,JSON.stringify(e.input).slice(0,300));
 else if(e.type==="tool-output-available")console.log("  ->",JSON.stringify(e.output).slice(0,200));
 else if(e.type==="tool-output-error"||e.type==="error")console.log("ERR",JSON.stringify(e).slice(0,300));
 else if(e.type==="text-delta")text+=e.delta;}
console.log("\n--- ANSWER ---\n"+text);
EOF
node "$TEMP/show.js" "$TEMP/chat1.out"; grep -a -oE "\[model\][^\n]*|AI_APICallError: [^.]*" "$TEMP/nextdev.log" | sort | uniq -c | head

Output

TSC_OK

real    2m30.425s
user    0m0.000s
sys 0m0.000s
TOOL menu_groq_query {"queries":["*[_type == \"dish\" && available != false]{\n  name, \"slug\": slug.current, section, price,\n  \"contains\": array::unique(\n    coalesce(components[].component->ingredients[]->allergens[]->code, [])\n    + coalesce(components[].component->subComponents[]->ingredients[]->allergens[]->c
  -> {"content":[{"type":"text","text":"MCP error -32602: Input validation error: Invalid arguments for tool groq_query: Invalid input: expected string, received undefined at query"}],"isError":true}
TOOL menu_groq_query {"query":"*[_type == \"dish\" && available != false]{\n  name, \"slug\": slug.current, section, price,\n  \"contains\": array::unique(\n    coalesce(components[].component->ingredients[]->allergens[]->code, [])\n    + coalesce(components[].component->subComponents[]->ingredients[]->allergens[]->code
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm
TOOL menu_groq_query {"query":"*[_type == \"dish\" && slug.current in [\"fries\", \"charred-cauliflower\", \"chicken-shish\", \"cod-and-chips\", \"ember-burger\", \"ember-caesar\", \"grilled-halloumi-salad\", \"lamb-kofta\", \"plancha-sea-bass\", \"slow-roast-lamb-shoulder\"]]{\n  name,\n  \"slug\": slug.current,\n  sec
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm
TOOL menu_groq_query {"query":"*[_type == \"component\" && slug.current in [\"plain-fries\", \"gluten-free-fries\"] || name match \"fries\"]{\n  name,\n  \"slug\": slug.current,\n  \"equipment\": preparedOn[]->{name, shared, \"sharedWith\": *[_type == \"component\" && references(^._id)]{name, \"allergens\": ingredients[
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm

--- ANSWER ---
### House Fries & Cross-Contact

The standard **Fries** are made from gluten-free ingredients (potatoes, oil, salt), but they are cooked in **Fryer 1 (shared)** alongside gluten-containing items like chicken goujons, falafel, and battered fish. 

However, we offer a dedicated **Gluten-free fries** substitution prepared in **Fryer 2 (dedicated gluten-free)** with zero surcharge.

::dish{slug="fries"}

---

### Mains Safe for Coeliac

Here are the mains that are naturally gluten-free or can be adapted safely:

#### Naturally Gluten-Free Mains (No Gluten Ingredients or Fryer Cross-Contact)

::dish{slug="charred-cauliflower"}
*Naturally gluten-free (cauliflower grilled on the charcoal grill with olive oil, spices, harissa dressing, and hummus).*

::dish{slug="chicken-shish"}
*Naturally gluten-free (marinated chicken skewers grilled over charcoal, served with rice pilaf, garden salad, and tahini sauce).*

::dish{slug="grilled-halloumi-salad"}
*Naturally gluten-free (grilled halloumi, fresh salad, lemon & caper dressing, and za'atar).*
      6 [model] gemi

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Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/app; (npx next dev -p 3100 > "$TEMP...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/app; (npx next dev -p 3100 > "$TEMP/nextdev.log" 2>&1 &); for i in $(seq 1 60); do curl -s -o /dev/null http://localhost:3100 && break; sleep 1; done
cat > "$TEMP/chat2.json" <<'EOF'
{"id":"t2","preferences":{"avoid":["tree-nuts","peanuts"],"diet":"vegetarian"},"messages":[{"id":"m1","role":"user","parts":[{"type":"text","text":"I have a severe nut allergy and I'm vegetarian. What can I order under €20, and what does your kitchen do to stop cross-contact? Also what should staff do if I react?"}]}]}
EOF
time curl -s -N -X POST http://localhost:3100/api/chat -H "Content-Type: application/json" --data @"$TEMP/chat2.json" --max-time 280 > "$TEMP/chat2.out"; node "$TEMP/show.js" "$TEMP/chat2.out" | cut -c1-240; grep -a -oE "\[model\] [^\\]*|\[chat\][^\\]{0,160}" "$TEMP/nextdev.log" | sort | uniq -c; grep -oE '"type":"finish","finishReason":"[a-z-]+"' "$TEMP/chat2.out"

Output

real 0m37.940s
user    0m0.031s
sys 0m0.000s
TOOL menu_groq_query {"query":"*[_type == \"dish\" && available != false && price < 20]{\n  name, \"slug\": slug.current, section, price,\n  \"contains\": array::unique(\n    coalesce(components[].component->ingredients[]->allergens[]->code
TOOL kb_knowledge_base_read {"knowledgeBase":"kbHjCPRsZ6xI","paths":["cross_contact","emergency_response/anaphylaxis_procedure"]}
  -> {"content":[{"type":"text","text":"# Cross-Contact & Shared Equipment Protocols\n\nKitchen cross-contact risks and controls: shared vs dedicated fryers (Fryer 1 shared, Fryer 2 gluten-free), grill, pl
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm
TOOL menu_groq_query {"query":"*[_type == \"dish\" && slug.current in [\"grilled-halloumi-salad\", \"halloumi-fries\", \"flame-grilled-vegetables\", \"fries\", \"marinated-olives\", \"herb-tabbouleh\"]]{\n  name, \"slug\": slug.current,\n  
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm

--- ANSWER ---
For your severe nut allergy and vegetarian diet, here are several options under €20. 

### Recommended Dishes
These dishes do not contain nuts in their recipes. However, please note the cross-contact risks from our shared equipment (detailed below).

::dish{slug="grilled-halloumi-salad"}
A vegetarian main at €15. It contains sesame and mustard but is free from nut ingredients.

::dish{slug="flame-grilled-vegetables"}
At €9.50, this is safe **only if you remove the house red pepper sauce (romesco)**, which contains almonds and hazelnuts. The kitchen supports this removal.

::dish{slug="halloumi-fries"}
A small plate at €8. These are vegetarian and nut-free but are prepared in a shared fryer.

::dish{slug="fries"}
At €4.50, these are safe. **Important:** Request the "Gluten-free fries swap." While you aren't avoiding gluten, this swap ensures your fries are cooked in **Fryer 2**, which is dedicated and avoids cross-contact with the fish and chicken

**Note on Peanuts:** Please avoid the *Charred Cauliflower*, *Falafel*, and *Hummus & Warm Pita*. While they don't have nuts in the recipe, our supplier labels them as **"May Contain: Peanuts."**

### Kitchen Cross-Contact Prevention
We take several steps to minimize risk, though we are a kitchen that handles nuts:
*   **Shared Grill:** Our charcoal grill is used for meats, halloumi, and vegetables. While we brush the bars between services, there is a risk of contact between vegetarian items and meat.
*   **Fryers:** Fryer 1 is shared (handling fish, chicken, and gluten). Fryer 2 is dedicated and logged daily for items requiring total separation from those allergens.
*   **Allergy Protocol:** When your order is placed, it is flagged with an "ALLERGY" modifier. This requires a chef to confirm the order, use clean utensils, and plate your dish separately.

### Emergency Procedure
If you experience a reaction, our staff are trained to follow this sequence immediately:
1.  **Call 999 or 112** and state "Anaphylaxis" to the operator.
2.  **Assist with your Auto-Injector:** Staff will help you use your EpiPen or similar device if you have one.
3.  **Positioning:** You will be kept lying down with your legs raised (or sitting up if breathing is difficult) and monitored until paramedics arrive.
4.  **Evidence:** We preserve the dish and your order ticket to help medical professionals determine the cause.

**Please ensure you inform your server of your severe nut allergy and vegetarian diet before ordering so the kitchen can take full precautions.**
"type":"finish","finishReason":"stop"

Agent

▸ Bash for s in grilled-halloumi-salad flame-grilled-vegetables halloumi-fries fries...

Input

$ for s in grilled-halloumi-salad flame-grilled-vegetables halloumi-fries fries charred-cauliflower falafel hummus-and-warm-pita; do printf "%-26s" $s; curl -s "http://localhost:3100/api/dish/$s?avoid=tree-nuts,peanuts&diet=vegetarian" | node -e 'let s="";process.stdin.on("data",d=>s+=d).on("end",()=>{const j=JSON.parse(s);if(!j.evaluation){console.log(s.slice(0,120));return}const e=j.evaluation;console.log(e.verdict.padEnd(18),"fixes:",JSON.stringify((e.fixes||[]).map(f=>f.type+":"+f.component+(f.with?"->"+f.with:""))),"hits:",JSON.stringify(e.hits),"diet:",JSON.stringify(e.dietIssues.map(d=>d.ingredient)))})'; done; curl -s -G "https://a2iy46w2.api.sanity.io/v2026-03-03/data/query/production" --data-urlencode 'query=*[_type=="dish" && name match "hummus"]{name,"slug":slug.current}' | grep -o '"result":.*\]'

Output

grilled-halloumi-salad    safe               fixes: [] hits: {"contains":[],"mayContain":[],"crossContact":[]} diet: []
flame-grilled-vegetables  safe-with-changes  fixes: ["remove:House red pepper sauce (romesco)"] hits: {"contains":["tree-nuts"],"mayContain":[],"crossContact":[]} diet: []
halloumi-fries            safe               fixes: [] hits: {"contains":[],"mayContain":[],"crossContact":[]} diet: []
fries                     safe               fixes: [] hits: {"contains":[],"mayContain":[],"crossContact":[]} diet: []
charred-cauliflower       caution            fixes: [] hits: {"contains":[],"mayContain":["peanuts"],"crossContact":[]} diet: []
falafel                   safe-with-changes  fixes: ["remove:Tahini sauce"] hits: {"contains":[],"mayContain":["peanuts"],"crossContact":[]} diet: []
hummus-and-warm-pita      {"error":"No dish with slug \"hummus-and-warm-pita\""}
"result":[{"name":"Hummus \u0026 Warm Pita","slug":"hummus-and-pita"}],"syncTags":["s1:NSXpcw"]

Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/app/src; cat app/api/dish/\[slug\]/...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/app/src; cat app/api/dish/\[slug\]/route.ts; grep -n "^export" lib/safety.ts lib/queries.ts lib/preferences.ts lib/sanity-client.ts; sed -n 60,110p lib/system-prompt.ts

Output

import {preferencesFromSearchParams} from '@/lib/preferences'
import {DISH_GRAPH_QUERY} from '@/lib/queries'
import {type DishGraph, evaluateDish} from '@/lib/safety'
import {getSanityClient} from '@/lib/sanity-client'

// Deterministic verdict for one dish: the content graph + a pure function. No model involved.
export async function GET(req: Request, ctx: {params: Promise<{slug: string}>}) {
  const {slug} = await ctx.params
  const prefs = preferencesFromSearchParams(new URL(req.url).searchParams)

  try {
    const graph = await getSanityClient().fetch<DishGraph | null>(DISH_GRAPH_QUERY, {slug})
    if (!graph) return Response.json({error: `No dish with slug "${slug}"`}, {status: 404})

    return Response.json({dish: graph, evaluation: evaluateDish(graph, prefs), preferences: prefs})
  } catch (error) {
    return Response.json(
      {error: error instanceof Error ? error.message : 'Failed to load dish'},
      {status: 500},
    )
  }
}
lib/safety.ts:5:export type AnimalOrigin = 'none' | 'dairy' | 'egg' | 'honey' | 'meat' | 'fish' | 'shellfish'
lib/safety.ts:6:export type Diet = 'vegan' | 'vegetarian' | 'pescatarian'
lib/safety.ts:8:export interface GraphIngredient {
lib/safety.ts:16:export interface GraphEquipment {
lib/safety.ts:30:export interface GraphSubComponent {
lib/safety.ts:38:export interface GraphComponent extends GraphSubComponent {
lib/safety.ts:42:export interface DishGraph {
lib/safety.ts:62:export interface Preferences {
lib/safety.ts:68:export type Verdict = 'safe' | 'safe-with-changes' | 'caution' | 'unsafe'
lib/safety.ts:70:export interface CrossContact {
lib/safety.ts:77:export interface DietIssue {
lib/safety.ts:83:export interface Fix {
lib/safety.ts:90:export interface Assessment {
lib/safety.ts:97:export interface Evaluation extends Assessment {
lib/safety.ts:123:export function assess(served: GraphComponent[], prefs: Preferences): Assessment {
lib/safety.ts:190:export function evaluateDish(graph: DishGraph, prefs: Preferences): Evaluation {
lib/queries.ts:41:export const DISH_FIELDS = /* groq */ `
lib/queries.ts:63:export const DISH_GRAPH_QUERY = /* groq */ `*[_type == "dish" && slug.current == $slug][0]{${DISH_FIELDS}}`
lib/queries.ts:65:export const ALLERGENS_QUERY = /* groq */ `*[_type == "allergen"] | order(annexNumber asc){name, code, icon}`
lib/preferences.ts:6:export function parsePreferences(raw: unknown): Preferences {
lib/preferences.ts:15:export function preferencesFromSearchParams(params: URLSearchParams): Preferences {
lib/preferences.ts:22:export function preferencesToSearch(prefs: Preferences): string {
lib/sanity-client.ts:10:export function getSanityClient(): SanityClient {
export function buildSystemPrompt({preferences, allergens, menuContext, kbContext, kbEnabled}: PromptInput): string {
  const names = new Map(allergens.map((a) => [a.code, a.name]))
  const avoid = preferences.avoid.map((c) => `${names.get(c) ?? c} (\`${c}\`)`)
  const guest =
    avoid.length || preferences.diet
      ? `The guest has told us: avoid ${avoid.length ? avoid.join(', ') : 'no allergens'}${
          preferences.diet ? `; diet: ${preferences.diet}` : ''
        }. Apply this to every answer unless they change it.`
      : 'The guest has not selected any allergies or diet yet. If their question depends on it, ask.'

  return `You are the allergy-safety concierge for Olive & Ember, a Mediterranean grill. You help guests with food allergies and dietary needs find dishes they can eat, and you explain why.

# Where truth lives
- **The menu graph (tools prefixed \`menu_\`) is the only source of truth for what is in a dish.** It is structured: dish -> components (sub-recipes) -> sub-components (max one level) -> ingredients -> allergens (EU Annex II codes), plus supplier "may contain" labels, ingredient animal origin, shared equipment, removable components and supported substitutions.
- ${
    kbEnabled
      ? '**The kitchen Knowledge Base (tools prefixed `kb_`) is for procedures, policies and definitions**: how cross-contact is handled, what "may contain" means, allergen definitions and hidden sources, what staff do when a guest has an allergy. Use it to explain and advise, never to decide what a dish contains.'
      : '**The kitchen Knowledge Base is not connected right now.** For procedure or policy questions, say you cannot check the kitchen guidance and ask the guest to speak with staff.'
  }

# Rules
1. Never say a dish is safe (or unsafe) from memory, from its name or from its description. Query the graph first, every time.
2. Always traverse the full depth: dish -> components -> subComponents -> ingredients -> allergens, plus \`mayContain\`, plus cross-contact from **shared equipment** (other components prepared on the same kit). Fried food is the classic trap.
3. Distinguish clearly: **contains** (in the recipe) vs **may contain** (supplier label) vs **cross-contact** (shared equipment in our kitchen).
4. When a dish is unsafe as served, look for fixes the kitchen supports: components marked \`removable\` and entries in \`substitutions\` (mention any surcharge). All prices and surcharges are in euros: write them as €12.50, never £ or $. Only suggest changes that exist in the graph.
5. For diets, use ingredient \`animalOrigin\`: vegan excludes any animal origin; vegetarian excludes meat, fish, shellfish; pescatarian excludes meat.
6. Only recommend dishes where \`available\` is not false.
7. Every answer that affects safety ends with a short reminder to tell their server about the allergy so the kitchen can confirm. Be warm and concise, never alarmist.
8. If the graph lacks data you need, say so plainly instead of guessing.

# Displaying dishes
Whenever you recommend or discuss a specific dish, render it as a card with this directive on its own line:
::dish{slug="<slug.current>"}
The card shows a verdict computed deterministically from the content graph for the guest's selections, so keep your text short and let the card carry the details. Never invent slugs; take them from query results.

# Guest selections
${guest}

# Canonical GROQ (adapt, don't paste blindly)
${CANONICAL_QUERIES}
${menuContext ? `\n# Menu graph reference (GROQ mode)\n\nUse this to understand the schema and write correct queries.\n\n${menuContext}\n` : ''}${
    kbEnabled && kbContext ? `\n# Kitchen Knowledge Base outline\n\n${kbContext}\n` : ''
  }`
}

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Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/app; npx tsc --noEmit && echo TSC_O...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/app; npx tsc --noEmit && echo TSC_OK; sleep 2; time curl -s -N -X POST http://localhost:3100/api/chat -H "Content-Type: application/json" --data @"$TEMP/chat2.json" --max-time 280 > "$TEMP/chat2.out"; node "$TEMP/show.js" "$TEMP/chat2.out" | cut -c1-260; grep -oE '"type":"finish","finishReason":"[a-z-]+"' "$TEMP/chat2.out"

Output

TSC_OK

real    0m31.866s
user    0m0.000s
sys 0m0.000s
TOOL menu_groq_query {"query":"*[_type == \"dish\" && available != false && price < 20]{\n  name, \"slug\": slug.current, section, price,\n  \"contains\": array::unique(\n    coalesce(components[].component->ingredients[]->allergens[]->code, [])\n    + coalesc
TOOL kb_knowledge_base_read {"paths":["cross_contact","emergency_response/anaphylaxis_procedure","allergy_order_procedure/workflow"],"knowledgeBase":"kbHjCPRsZ6xI"}
  -> {"content":[{"type":"text","text":"# Cross-Contact & Shared Equipment Protocols\n\nKitchen cross-contact risks and controls: shared vs dedicated fryers (Fryer 1 shared, Fryer 2 gluten-free), grill, pl
  -> {"content":[{"type":"text","text":"{\"meta\":{\"executedQuery\":\"*[_type != \\\"sanity.agentContext\\\" && (_type in [\\\"dish\\\", \\\"component\\\", \\\"ingredient\\\", \\\"allergen\\\", \\\"equipm
TOOL verify_dishes {"slugs":["grilled-halloumi-salad","fries","halloumi-fries","marinated-olives","herb-tabbouleh","kids-tomato-pasta","charred-cauliflower","falafel","hummus-and-pita","vegan-chocolate-pot"]}
  -> [{"slug":"grilled-halloumi-salad","name":"Grilled Halloumi Salad","price":15,"available":true,"verdict":"safe","hits":{"contains":[],"mayContain":[],"crossContact":[]},"dietIssues":[],"fixes":[]},{"sl

--- ANSWER ---
For a severe nut allergy and a vegetarian diet, we have several options under €20.

### Recommended Dishes
The following dishes are vegetarian and free from declared nut ingredients. Please note that for some items, we recommend removals to avoid supplier "may contain" risks.

::dish{slug="grilled-halloumi-salad"}
**Safe.** A hearty salad with grilled halloumi, fresh greens, and a mustard-sesame dressing.

::dish{slug="marinated-olives"}
**Safe.** A perfect snack to start with.

::dish{slug="herb-tabbouleh"}
**Safe.** A fresh side of bulgur wheat with parsley, mint, and lemon.

::dish{slug="falafel"}
**Safe with changes.** Our falafel ingredients are nut-free, but our tahini supplier has a "may contain peanuts" warning. To be safe, we can serve this **without the tahini sauce**.

::dish{slug="halloumi-fries"}
**Safe ingredients.** These are fried in our shared fryer (Fryer 1), which is also used for meat and fish. If you prefer to avoid shared oil, please let us know.

::dish{slug="fries"}
**Safe.** As with the halloumi fries, these are in a shared fryer by default. However, we have a **dedicated gluten-free fryer (Fryer 2)** that is free from meat/fish contact; we can prepare your fries there upon request.

### How we prevent cross-contact
We follow a strict five-step safety workflow for every allergy order:
1.  **Ask & Check:** Your server will confirm your specific allergens and trace sensitivity, then verify the current menu data.
2.  **Flag the Ticket:** We tag your order with a red **ALLERGY** modifier so the entire kitchen team is alerted.
3.  **Chef Confirmation:** The chef on the pass confirms the recipe, initials the ticket, and oversees preparation.
4.  **Clean Prep:** We use clean utensils and separate plating for your dish.
5.  **Hand Delivery:** Your meal will be served with a **red allergy pick** and hand-delivered by your server (not a runner) to confirm it is safe.

**Note on the Grill:** Most of our warm vegetables and halloumi are cooked on a shared charcoal grill that also handles meat. While we brush the bars, we cannot guarantee zero contact on that surface.

### In the event of a reaction
If you experience a reaction, our staff are trained to act immediately:
1.  **Emergency Call:** We will call 999 or 112 immediately and state "anaphylaxis."
2.  **Medication:** We will assist you in using your adrenaline auto-injector (EpiPen/Jext) if you have one.
3.  **Positioning:** We will lie you down flat with your legs raised (or sit you up if breathing is difficult) and monitor you until paramedics arrive.
4.  **Evidence:** We preserve the food and ticket to help medical professionals identify the cause.

Please ensure you inform your server of your severe nut allergy before ordering so we can take these precautions for you.
"type":"finish","finishReason":"stop"

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Agent

The full agent now works on both endpoints, and its answers match the dish cards. Tests pass and the production build compiles.

What works now

Menu endpoint (GROQ): finds candidate dishes by walking the dish → component → ingredient → allergen graph, including cross-contact from shared equipment.
Guidance endpoint (Knowledge Base): reads the cross-contact, order-workflow and anaphylaxis entries. It says "999 or 112" and describes the 5-step allergy ticket process.
New verify_dishes tool: the agent now checks its final verdicts with the same deterministic function that draws the dish cards. For example, falafel is now correctly "safe without the tahini sauce" instead of "avoid".
Speed: about 32 seconds per combined answer.
Checks: 5 of 5 tests pass, next build passes.

Your steps

Resolve the last issue: the Knowledge Base still shows Issues 1. Choose "What the entry says" (999 or 112) → Resolve issue, then click Check for changes so it picks up the Dublin location text.
Try the app: http://localhost:3100. Pick some allergies and ask a question.
Log in to Vercel for the public demo: ! npx vercel login.
Create a GitHub repo for the code link, since git is read-only for me. When you're ready, I'll give you the exact commands.

What I do next

Deploy to Vercel with the env vars set as secrets there.
Draft the DEV post from the Path 1 template in .pr/, or submission/POST.md if you prefer. It will include the Sanity project ID, the public dataset URL and the "only works because it's structured" story.
Take screenshots and record demo chats for the post.

Where things stand

Deadline: Sat Oct 4, 11:59 PM PDT (5 days left)
Waiting on: issue resolution, vercel login, GitHub repo

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Agent

▸ Bash U=https://olive-ember-allergen-agent.vercel.app; curl -s -o /dev/null -w "hom...

Input

$ U=https://olive-ember-allergen-agent.vercel.app; curl -s -o /dev/null -w "home %{http_code}\n" $U; curl -s "$U/api/dish/falafel?avoid=peanuts" | head -c 300; echo; curl -s "$U/api/allergens" | head -c 150; echo

Output

home 200
{"dish":{"_id":"dish-falafel","available":true,"components":[{"_key":"falafel","component":{"_id":"component-falafel","ingredients":[{"_id":"ingredient-chickpeas","allergens":[],"animalOrigin":"none","mayContain":[],"name":"Chickpeas"},{"_id":"ingredient-parsley","allergens":[],"animalOrigin":"none"
{"allergens":[{"code":"gluten","icon":"🌾","name":"Cereals containing gluten"},{"code":"crustaceans","icon":"🦐","name":"Crustaceans"},{"code":"eg

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Agent

▸ Bash cd /c/Users/user/Desktop/sanity_challenge/app/src/lib; sed -n 1,45p system-pr...

Input

$ cd /c/Users/user/Desktop/sanity_challenge/app/src/lib; sed -n 1,45p system-prompt.ts

Output

import type {AllergenOption} from './allergens'
import type {Preferences} from './safety'

// Canonical queries the agent can adapt. They mirror studio/schemaTypes and the fixed nesting depth
// (dish -> component -> subComponent -> ingredient -> allergen) the Studio enforces.
const CANONICAL_QUERIES = `
1. Full allergen roll-up for dishes (contains + supplier may-contain), one query:
\`\`\`groq
*[_type == "dish" && available != false]{
  name, "slug": slug.current, section, price,
  "contains": array::unique(
    coalesce(components[].component->ingredients[]->allergens[]->code, [])
    + coalesce(components[].component->subComponents[]->ingredients[]->allergens[]->code, [])
  ),
  "mayContain": array::unique(
    coalesce(components[].component->ingredients[]->mayContain[]->code, [])
    + coalesce(components[].component->subComponents[]->ingredients[]->mayContain[]->code, [])
  ),
  "animalOrigins": array::unique(
    coalesce(components[].component->ingredients[]->animalOrigin, [])
    + coalesce(components[].component->subComponents[]->ingredients[]->animalOrigin, [])
  ),
  "removable": components[removable == true].component->name,
  "swaps": substitutions[]{"replaces": replaces->name, "with": with->name, surcharge}
}
\`\`\`

2. Cross-contact through shared equipment for one dish (other components cooked on the same kit):
\`\`\`groq
*[_type == "dish" && slug.current == $slug][0]{
  name,
  "equipment": components[].component->preparedOn[]->{
    name, shared,
    "sharedWith": *[_type == "component" && references(^._id)]{
      name, "allergens": array::unique(
        coalesce(ingredients[]->allergens[]->code, []) + coalesce(subComponents[]->ingredients[]->allergens[]->code, [])
      )
    }
  }
}
\`\`\`
Equivalent from the equipment side: \`*[_type == "component" && references($equipmentIds)]\`.

3. Which components contain an allergen (to explain *why* a dish is unsafe or what to remove):
\`\`\`groq

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Agent

▸ Bash curl -s "https://a2iy46w2.api.sanity.io/v2026-03-03/data/query/production?que...

Input

$ curl -s "https://a2iy46w2.api.sanity.io/v2026-03-03/data/query/production?query=*%5B_type%3D%3D%22dish%22%26%26slug.current%3D%3D%22fries%22%5D%5B0%5D%7Bname%2C%22fryer%22%3Acomponents%5B%5D.component-%3EpreparedOn%5B%5D-%3E%7Bname%2Cshared%2C%22alsoFried%22%3A*%5B_type%3D%3D%22component%22%26%26references(%5E._id)%5D.name%7D%7D" | head -c 500

Output

{
  "query": "*[_type==\"dish\"&&slug.current==\"fries\"][0]{name,\"fryer\":components[].component->preparedOn[]->{name,shared,\"alsoFried\":*[_type==\"component\"&&references(^._id)].name}}",
  "result": {
    "fryer": [
      {
        "alsoFried": [
          "Chicken goujons",
          "Crispy battered cod",
          "Crispy calamari",
          "Falafel",
          "Halloumi fries",
          "Fries"
        ],
        "name": "Fryer 1 (shared)",
        "shared": true
      }
    ],
    "name": "Fries"
  },
  "syncTags": [
    "s1:W4o/Pw",
    "s1:6ion3w",
    "s1:kImeKg",
    "s1:F5yDrw"
  ],
  "ms": 10
}

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Agent

The app is live at https://olive-ember-allergen-agent.vercel.app, and a full chat works there. The DEV post is drafted. What's left for you: push the code, make the repo public, and publish the post.

Done

Deploy: the Vercel project is linked, 8 production env vars are set (the seed write token is left out), and the deploy is live and public.
Live checks: the home page, the dish verdict endpoint and a full chat all work, using both endpoints plus verify_dishes.
README.md: covers the architecture, why the structure matters, setup and tests.
submission/dev-post.md: follows the exact Path One template. The title is "The fries are gluten-free. The fryer isn't." Both public query links in it work. submission/ is gitignored, so the draft stays local.
Secret scan: clean. .env, .env.local and .vercel are all ignored.

Your steps

Make the repo public. malbolged/olive-ember-allergen-agent is private, and judges can't open it.
Push the code from [REDACTED]\Desktop\sanity_challenge: bash git init -b main git add . git status # check: no .env, .env.local, .vercel, node_modules, submission/ git commit -m "Olive & Ember allergen-safe menu agent (Sanity Challenge, Path One)" git remote add origin https://github.com/malbolged/olive-ember-allergen-agent.git git push -u origin main
Take 2–3 screenshots of the live app, e.g. the coeliac + fries answer with a dish card, and add them under Demo.
Agent session: upload this Claude Code transcript at https://dev.to/agent_sessions/new, trim it, click Make Public, and embed it. It has no full secrets; only 4-character key prefixes appear.
Publish: paste submission/dev-post.md into DEV and set published: true. The #sanitychallenge tag is already in the front matter.

Things to know

Latency: answers take about 30–90 seconds on the free Gemini tier, depending on fallbacks. Enabling Gemini billing would make them faster and more consistent for judges.
Vercel account: the deploy went to the tester-user account. If that isn't the account you want, tell me before you publish.

Where things stand

Deadline: Sat Oct 4, 11:59 PM PDT (5 days left)
Done: data, Studio, both Context endpoints, the Knowledge Base, the agent, the UI, the live deploy, the README, the post draft
Waiting on you: repo public, push, screenshots, agent session, publish

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Agent

▸ mcp__pencil__execute {"filePath":"C:\\Users\\user\\Desktop\\sanity_challenge\\design\\olive-ember....

Input

{"filePath":"C:\\Users\\user\\Desktop\\sanity_challenge\\design\\olive-ember.pen","input":"const colId=\"lccue\";const T=(o)=>({type:\"text\",fontFamily:\"$font-body\",fill:\"$ink\",...o});\nUpdate(\"...

Output

OK

## Created nodes by name
Ids are strings - quote them when used in code. Entries marked `(= variable)` are also held by that global variable, usable directly in later calls:
```
"Section AVOID": "XgrLp"
"Title": "yhMMe"
"Rule": "Oczhi"
"Avoid List": "xRNiS"
"Avoid Falafel": "i2GhIH"
"Verdict": "SnHBn"
"Label": "l4rxWR"
"Name": "V0Qo3"
"Why": "l3Pfvx"
"Chevron": "UzDJ1"
"Avoid Charred Cauliflower": "qGMH6"
"Verdict": "ikvAm"
"Label": "xuUGc"
"Name": "rY3DQ"
"Why": "k4BNFA"
"Chevron": "W4hH7"
"Avoid Halloumi Fries": "I8vzF"
"Verdict": "MSa99"
"Label": "N5J8Y"
"Name": "aGhH1"
"Why": "G27bbk"
"Chevron": "zPB2e"
"Reminder": "sxicn"
"Composer": "x56wF9"
"Suggestions": "d6wDk"
"Suggestion": "f4upI"
"Text": "dFtqN"
"Suggestion": "U0ciK"
"Text": "gPkEC"
"Suggestion": "BIzKU"
"Text": "vkvZO"
"Input": "i05ncB"
"Placeholder": "yX4Er"
"Send": "ylbPi"
"Label": "jbvAZ"
"Icon": "JyJpU"
```

## Print output
Chip Row | Allergen Chips | partially clipped  
Chip Row | Allergen Chips | partially clipped  
Column | Conversation | partially clipped  
Trace | Column | partially clipped  
Title | Section AVOID | fully clipped  
Rule | Section AVOID | fully clipped  
Avoid List | Column | partially clipped  
Verdict | Avoid Falafel | fully clipped  
Label | Verdict | fully clipped  
Name | Avoid Falafel | fully clipped  
Why | Avoid Falafel | fully clipped  
Chevron | Avoid Falafel | fully clipped  
Avoid Charred Cauliflower | Avoid List | partially clipped  
Verdict | Avoid Charred Cauliflower | fully clipped  
Label | Verdict | fully clipped  
Name | Avoid Charred Cauliflower | fully clipped  
Why | Avoid Charred Cauliflower | fully clipped  
Chevron | Avoid Charred Cauliflower | fully clipped  
Avoid Halloumi Fries | Avoid List | fully clipped  
Verdict | Avoid Halloumi Fries | fully clipped  
Label | Verdict | fully clipped  
Name | Avoid Halloumi Fries | fully clipped  
Why | Avoid Halloumi Fries | fully clipped  
Chevron | Avoid Halloumi Fries | fully clipped  
Reminder | Column | fully clipped  
Composer | Main | fully clipped  
Suggestion | Suggestions | fully clipped  
Text | Suggestion | fully clipped  
Suggestion | Suggestions | fully clipped  
Text | Suggestion | fully clipped  
Suggestion | Suggestions | fully clipped  
Text | Suggestion | fully clipped  
Input | Composer | partially clipped  
Placeholder | Input | fully clipped  
Send | Input | fully clipped  
Label | Send | fully clipped  
Icon | Send | fully clipped  
User Row 0 42  
Trace 62 25  
Answer 107 48  
Section SAFE AS SERVED 175 23  
Row Safe 218 181  
Section SAFE WITH A CHANGE 419 23  
Row Changes 462 242  
Section AVOID 774 23  
Avoid List 817 132  
Reminder 969 18

Screenshots taken of nodes: T01WYV

Analyze the attached screenshots that they satisfy the requirements. Verify there is no broken, collapsed, or overflowing layout issue.

[screenshot omitted]
[Image: source: C:\Users\user\.claude\projects\C--Users-user-Desktop-sanity-challenge\23523501-313e-42ee-84b3-7aed61500188\tool-results\mcp-pencil-blob-1790806897337-96zope.png]

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You

change the font and colors, they look too vibecoded

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Agent

I checked first. The code isn't pushed yet: the folder isn't a git repo, and GitHub now returns "Not Found" for malbolged/olive-ember-allergen-agent. Earlier I could see it as an empty private repo, so it may have been renamed or deleted, or its access changed.

Remaining steps

Confirm the repo exists. Open https://github.com/malbolged/olive-ember-allergen-agent. If it's gone, create it again, empty, and set it to Public. If it exists but is private, go to Settings → Change visibility → Public. Judges need to be able to open it.
Push the code from [REDACTED]\Desktop\sanity_challenge: bash git init -b main git add . git status # check: no .env, .env.local, .vercel, node_modules, submission/ git commit -m "Olive & Ember allergen-safe menu agent (Sanity Challenge, Path One)" git remote add origin https://github.com/malbolged/olive-ember-allergen-agent.git git push -u origin main
Upload the agent session. Go to https://dev.to/agent_sessions/new, upload this Claude Code transcript, cut it down to the best parts (schema design, the two-endpoint discovery, the falafel verify_dishes fix, the 112/999 Knowledge Base issue, the redesign), then click Make Public and copy the embed.
Write the DEV post. Go to https://dev.to/new and paste submission/dev-post.md. Then:
- Under Demo, upload design/exports/prod-welcome.png, desk-conv-full.png and mob-conv-full.png, and remove the TODO comment.
- Under Agent Session, paste the embed from step 3 and remove the TODO comment.
- Optionally, use prod-welcome.png as the cover image.
- Check that the tags are devchallenge, sanitychallenge, sanity, ai.
Publish. Set published: true, or click Publish, before Sat Oct 4, 11:59 PM PDT.
Optional, for faster answers: enable billing on the Gemini key (AI Studio → Billing). Answers currently take 30–90 seconds on the free tier.

Already done (no action needed)

Sanity project a2iy46w2 with a seeded public dataset, the Studio deployed, the schema deployed
Both Context endpoints (menu and guidance) and the Knowledge Base built
The app live at https://olive-ember-allergen-agent.vercel.app with the redesign
README.md and the DEV post draft written

Where things stand

Deadline: Sat Oct 4, 11:59 PM PDT (3 days left)
Next: confirm the repo exists and is public, then push. Tell me when it's pushed and I'll check it from here.

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Agent

▸ Read C:\Users\user\Desktop\sanity_challenge\kb\CONTEXT-SETUP.md

Input

C:\Users\user\Desktop\sanity_challenge\kb\CONTEXT-SETUP.md

Output

1 # Context dashboard setup (copy-paste values)
2   
3   Dashboard → **Context**. Do these in order.
4   
5   ## 1. MCP `menu` (GROQ mode — the structured menu graph)
6   
7   - **Title:** Olive & Ember menu graph
8   - **Name:** `menu`
9   - **Source:** Dataset → `a2iy46w2.production`
10  - **GROQ filter:**
11  
12  ```
13  _type in ["dish", "component", "ingredient", "allergen", "equipment"]
14  ```
15  
16  - **Instructions:**
17  
18  ```
19  This dataset is the allergen graph of Olive & Ember, a (fictional) Mediterranean grill.
20  A dish is assembled from components[] (each {component->, removable}); a component has ingredients[]-> and at most one level of subComponents[]->; an ingredient has allergens[]-> and mayContain[]-> (supplier precautionary labelling) and animalOrigin (none|dairy|egg|honey|meat|fish|shellfish).
21  Allergens are the 14 EU Annex II allergens; always filter on allergen.code (gluten, crustaceans, eggs, fish, peanuts, soybeans, milk, tree-nuts, celery, mustard, sesame, sulphites, lupin, molluscs).
22  A dish's allergens = allergens of its components' ingredients PLUS the ingredients of their subComponents. Never judge from names or descriptions.
23  Cross-contact: a component's preparedOn[]-> equipment with shared == true exposes it to the allergens of every other component prepared on that equipment: *[_type == "component" && references($equipmentId)].
24  dish.substitutions[] ({replaces->, with->, surcharge}) and removable components are the only modifications the kitchen supports.
25  Only recommend dishes with available == true.
26  ```
27  
28  ## 2. Knowledge Base (prose guidance)
29  
30  - **New knowledge base → Title:** Olive & Ember allergen guidance
31  - **Purpose:**
32  
33  ```
34  Guest- and staff-facing allergen guidance for Olive & Ember: how the kitchen handles allergy orders, cross-contact and shared fryers, what "may contain" means, coeliac and vegan definitions, substitution policy, and emergency procedures, grounded in UK Food Standards Agency guidance.
35  ```
36  
37  - **Source 1 — Dataset:** project `a2iy46w2`, dataset `production`, query:
38  
39  ```
40  *[_type == "guidanceArticle"]{title, category, body}
41  ```
42  
43  - **Source 2 — Website:** `https://www.food.gov.uk/business-guidance/allergen-guidance-for-food-businesses`
44  - **Build**, then check **Entries** and resolve any **Issues**. Copy the Knowledge Base id (starts with `kb`).
45  
46  ## 3. MCP `guidance` (Knowledge Base mode)
47  
48  - **Title:** Olive & Ember guidance
49  - **Name:** `guidance`
50  - **Source:** Knowledge Base → the one from step 2 (**no dataset source**, or it silently switches to GROQ mode)
51  
52  ## 4. Put the URLs in `.env`
53  
54  Each MCP shows its endpoint URL after saving:
55  
56  ```
57  SANITY_CONTEXT_MENU_MCP_URL=<menu endpoint URL>
58  SANITY_CONTEXT_KB_MCP_URL=<guidance endpoint URL>
59  ```
60

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Agent

Add allergen-safe menu agent

Use it in the commit step:
bash git commit -m "Add allergen-safe menu agent"

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Agent

The push worked. GitHub has commit 1afa6f8 with all 64 files, the repo is public, and nothing excluded made it up.

Checked on GitHub

Top level: app/, studio/, README.md, .env.example, .gitignore, package.json, pnpm-lock.yaml, pnpm-workspace.yaml
No secrets or local-only folders: no .env, .vercel, design/ or submission/
Branch: master, not main. That's fine: the repo link and the {% github %} embed in the post both use the default branch.

Remaining steps

Upload the agent session. Go to https://dev.to/agent_sessions/new and upload this Claude Code transcript. Keep the best parts: the schema design, the two-endpoint discovery, the falafel verify_dishes fix, the 112/999 Knowledge Base issue, and the redesign. Click Make Public and copy the embed.
Write the post. Go to https://dev.to/new and paste submission/dev-post.md. Then:
- Under Demo, upload design/exports/prod-welcome.png, desk-conv-full.png and mob-conv-full.png, and remove the TODO comment.
- Under Agent Session, paste the embed and remove the TODO comment.
- Optionally, use prod-welcome.png as the cover image.
Publish before Sat Oct 4, 11:59 PM PDT, and send me the post link. I'll check that the links, the repo embed and the demo URLs all work.
Afterwards: delete design/ (or ask me to).

Where things stand

Done: the app is live, the repo is public and pushed, the Sanity project and Context endpoints are set up, the post is drafted
Waiting on you: agent session, publish the post
Deadline: Sat Oct 4, 11:59 PM PDT (3 days left)

Smashing a silent connection leak in node-postgres (pg-pool)

Malbolged — Fri, 17 Jul 2026 04:36:16 +0000

This is a submission for DEV's Summer Bug Smash: Clear the Lineup powered by Sentry.

I fixed a real, open performance/correctness bug in pg-pool (the connection pool that ships with
node-postgres, ~12.5k ⭐, downloaded tens of
millions of times a week), reproduced it against a real Postgres, hardened the fix with
Sentry and Google's Gemini in the loop, and added a regression test.

Issue: brianc/node-postgres#3543
PR: brianc/node-postgres#3711

Project Overview

node-postgres (pg) is the most widely used PostgreSQL client for Node.js. Almost everyone
who talks to Postgres from Node uses its built-in connection pool, pg-pool, directly or
through an ORM (Sequelize, TypeORM, Prisma's pg adapter, Knex…). When you set
connectionTimeoutMillis, you are telling the pool: "if getting me a connection takes longer
than this, give up and error." That guarantee is what this bug quietly breaks.

Bug Fix or Performance Improvement

Issue #3543 reports that when connectionTimeoutMillis fires while a new connection is being
established, a connection can still be opened on the Postgres side and is never cleaned up the
pool keeps holding it, and with the native (pg-native) client the process can crash with exit
code 13.

The culprit is in Pool.newClient():

tid = setTimeout(() => {
  if (client.connection) {
    timeoutHit = true
    client.connection.stream.destroy()   // rip out the local socket
  } else if (!client.isConnected()) {
    timeoutHit = true
    client.end()
  }
}, this.options.connectionTimeoutMillis)

client.connect((err) => {
  if (tid) clearTimeout(tid)
  client.on('error', idleListener)
  if (err) { /* remove client, reject */ }
  else {
    // success path  never checks whether the timeout already fired
    return this._afterConnect(client, pendingItem, idleListener)
  }
})

Two things are wrong:

The success path never checks timeoutHit. If the connection finishes establishing right after the timeout has fired, client.connect(...) calls back with no error, so the pool happily returns/keeps a connection it had already "timed out" on.
stream.destroy() rips out the local socket instead of terminating the connection cleanly. The reporter's suggested one-liner (client.connection.end()) doesn't actually help on current pg at the moment the timeout fires, client.connection is still falsy, so that branch never runs. (I verified this; more below.)

The net effect: connectionTimeoutMillis is silently violated pool.connect() resolves
after the deadline instead of rejecting and the timed-out connection is retained. In the
worst cases it deadlocks a max: 1 pool or crashes a pg-native process.

Code

The fix (packages/pg-pool/index.js):

       tid = setTimeout(() => {
+        this.log('ending client due to timeout')
+        timeoutHit = true
+        // Reject the checkout at the deadline and stop tracking this client
+        // immediately, so a connect that hangs (or never calls back) can neither
+        // delay the timeout past connectionTimeoutMillis nor leak into _clients.
+        this._clients = this._clients.filter((c) => c !== client)
+        if (!pendingItem.timedOut) {
+          pendingItem.timedOut = true
+          pendingItem.callback(new Error('Connection terminated due to connection timeout'), undefined, NOOP)
+        }
+        this._pulseQueue()
+        // Tear the half-open connection down cleanly (send a Terminate rather
+        // than ripping out the local socket) in the background, and silence the
+        // dying client's errors so they don't surface as an unhandled 'error'
+        // (which can crash the process, e.g. with pg-native).
+        client.removeAllListeners('error')
+        client.on('error', () => {})
         if (client.connection) {
-          this.log('ending client due to timeout')
-          timeoutHit = true
-          client.connection.stream.destroy()
+          client.connection.end()
         } else if (!client.isConnected()) {
-          this.log('ending client due to timeout')
-          timeoutHit = true
-          // force kill the node driver, and let libpq do its teardown
           client.end()
         }
       }, this.options.connectionTimeoutMillis)

         if (!pendingItem.timedOut) {
           pendingItem.callback(err, undefined, NOOP)
         }
+      } else if (timeoutHit) {
+        // Race: the connection finished establishing after the timeout already
+        // rejected the checkout and removed this client. Just close the
+        // late-completing connection cleanly so no backend is leaked.
+        this.log('client connected after timeout, discarding')
+        client.removeAllListeners('error')
+        client.on('error', () => {})
+        client.end()
       } else {

Plus a deterministic regression test in packages/pg-pool/test/connection-timeout.js.

My Improvements

I don't trust an open issue until I've reproduced it, so I stood up a throwaway PostgreSQL 18
cluster and built a harness around the reporter's trigger (delay the first real connect past
the timeout).

Rigorous leak measurement. Counting "idle backends with query_start IS NULL" is misleading
it also catches a legitimately checked-out client that just hasn't run a query yet. So I tagged
the pool's connections with a unique application_name and compared what the pool thinks it
holds (pool.totalCount) against the backends Postgres actually holds for the pool:

variant	first `pool.connect()`	`connect` events	`pool.totalCount`	server backends	never-used backends
buggy	resolved after ~1150ms (timeout = 1000ms!)	2	2	2	1
reporter's 1-line fix	resolved after ~1150ms	2	2	2	1
my fix	rejected at ~1000ms	1	1	1	0

The headline defect on the pure-JS client is precisely this: the timeout is not honored and the
timed-out connection is retained. (The dramatic orphaned-backend / exit-13 crash the reporter
saw is specific to pg-native and proxied poolers like PgBouncer, which I couldn't fully
reproduce without a native build so I'm careful to present those as reporter-observed, not
claimed.)

Testing. The project's own connection-timeout suite goes from 9 to 10 passing with my
change (the only failing test needs the native addon, which isn't built in my environment). My
new regression test "does not retain a connection that establishes after the timeout" is
deterministic (a 200ms connect vs a 100ms timeout): it fails on the original code (resolves
with no error) and passes on the fixed code (rejects, totalCount === 0).

Best Use of Sentry

The most interesting part of this bug is that, before the fix, the failure is invisible.
pool.connect() resolves successfully there is no exception, no log, nothing for an
observability tool to catch while connections quietly pile up on the database. So I wired a tiny
reproduction into @sentry/node to show the difference the fix makes to observability, not just
correctness.

Sentry auto-instrumented pg/pg-pool with zero effort from me, so each checkout shows up as a
db.pool.connect trace with nested pg.connect / pg.query spans. The two runs sit side by side
in the issue stream:

Before the fix, there is no exception to catch. The best I can do is detect the violation
myself and report it:

[before-fix (buggy)] connectionTimeoutMillis (1000ms) exceeded (1154ms) but pool.connect() RESOLVED silent timeout; server backends=1, pool believes=1
After the fix, the timeout is a first-class, monitorable exception:

Connection terminated due to connection timeout

tags: outcome: rejected, scenario: after-fix (fixed)
context pool_timeout: connectionTimeoutMillis: 1000, elapsedMs: 1012, pool_totalCount: 0

That elapsedMs: 1012 against a 1000ms deadline is the whole fix in one number the checkout now
fails at the deadline instead of resolving at ~1150ms, and pool_totalCount: 0 proves nothing
was retained. The root span drops from 1.16s (buggy) to 1.04s (fixed) for the same work.

The trace is my favourite artifact here. The before-fix waterfall shows a single
db.pool.connect root span lasting 1.16s already longer than the 1000ms timeout it was
supposed to honor and inside it, two pg.connect spans. That's the over-connecting rendered
as a picture: one checkout, two backends.

Seer, honestly

I ran Seer (Sentry's AI root-cause) on the timeout exception, and it independently landed on my
core finding without being told:

"pool.fixed.js correctly enforces the timeout (unlike pool.buggy.js which silently resolved at
~1100ms, violating the timeout contract)"

It reconstructed the whole sequence connect exceeds connectionTimeoutMillis, setTimeout fires
at 1000ms, timeoutHit=true, the error gets wrapped and even produced accurate reproduction
steps. That's a genuinely useful second opinion on a concurrency bug.

One detail it got wrong, and it's worth saying so: Seer reported the teardown as
client.connection.stream.destroy(). That's the stock pg-pool in node_modules the fixed
file doesn't call stream.destroy() at all. It had reached for the nearest matching source rather
than the file the frames actually came from. It's a good reminder that AI root-cause is a strong
lead, not a verdict: the conclusion was right, one supporting detail wasn't, and only reading the
code told me which was which.

That's the real value story: the fix converts a silent, un-monitorable timeout violation into a
clean, captured, alertable error one Seer can actually reason about.

Best Use of Google AI

I used Gemini (via Google AI Studio) as a reviewer at two points, and it materially improved
the fix.

First I asked it to locate the race and explain why the reporter's proposed one-liner is
insufficient. It correctly identified that "the else (success) path in the connect callback
does not check timeoutHit… this registers the timed-out client as active/idle in the pool,
leaking the backend connection."

Then I gave it my first draft of the fix and asked it to try to break it. It found three real
problems I had missed:

Deferred rejection my draft only rejected once the connect callback fired, so the caller failed at deadline + socket-teardown time, not at the deadline.
Leak if the callback never fires because cleanup lived in the connect callback, a hung connect would leak the client into _clients forever.
Unhandled 'error' crash risk ending a still-connecting client emits an 'error'; if the pool has an error listener and the app doesn't, the process crashes. This is almost certainly the mechanism behind the reporter's pg-native exit-13.

I rewrote the fix to reject and remove the client immediately at the deadline, and to strip
error listeners + attach a silent catch-all before tearing the connection down in the background.
Then I re-ran the full test suite to confirm the hardened version still passes everything. (Full
prompt/response transcript included as a screenshot below.)

Using an AI to adversarially review my own patch and verifying every suggestion against the
real test suite rather than trusting it is what made this fix production-grade instead of just
"passing the repro."

(Screenshot to add: the AI Studio conversation, especially Gemini's critique of the draft fix.)

Wrapping up

Issue: brianc/node-postgres#3543
PR: brianc/node-postgres#3711
Reproduced against real Postgres 18, fixed, regression-tested (suite 10/10 minus the native-only test), and hardened with Sentry + Gemini in the loop.

Thanks for reading and thanks to the reporter (@nicholaswold) for a beautifully detailed issue.

The new customer who took down everyone: an ORM include that ate our CRM

Malbolged — Fri, 17 Jul 2026 04:36:15 +0000

This is a submission for DEV's Summer Bug Smash: Smash Stories powered by Sentry.

A real production war story about how
one endpoint, one include too deep, and one very enthusiastic new customer combined into a
global outage — and what actually fixed it (after the first fix didn't).

The 15 minutes where everything was down

It started the way these things always do: a new customer onboarded, we imported their data, and
minutes later everyone's app started falling over. Not just the new customer — the whole
multi-tenant CRM. Dashboards spun. Deal pages hung. Then requests started timing out across the
board.

The trigger was data volume. The new account came in with a lot of history — far more
opportunities, contacts, activities, and line items than our typical tenant. Nothing about that
should take down other customers… except it did.

Following the smoke

The outage lined up almost perfectly with traffic to one endpoint: the one that returns the full
details of an opportunity/deal. On paper it's a read. In practice it had grown, over a couple
of years, into a monster.

It was a single Sequelize query with a tree of includes:

Opportunity.findByPk(id, {
  include: [
    { model: Account, include: [Contact, Address] },
    { model: LineItem, include: [Product, { model: PriceTier, include: [Currency] }] },
    { model: Activity, include: [User, Note] },
    { model: Stage, include: [Pipeline] },
    // …and more
  ],
})

Every include became a JOIN (or a follow-up query), and several of them pulled in their own
nested includes. For a normal-sized deal it was fine. For the new customer's fattest
opportunities — hundreds of line items, each with products and price tiers, plus a long activity
history — a single "show me this deal" call was fanning out into an enormous result set and a
pile of un-indexed lookups. The query blew past our HTTP timeout, the request died, the client
retried, and the retries piled onto an already-struggling database. Connections backed up, and
because every tenant shared the same pool, everyone felt it.

Fix #1: the one that felt good and wasn't

Under pressure, we did the obvious thing: we raised the timeout. The endpoint stopped
"failing," the alarms went quiet, and we told ourselves we'd bought time to do it properly.

That was a band-aid on a severed artery. All we'd done was let the slow query run longer while
holding a connection hostage the entire time. A week or two later, with a bit more data and a bit
more concurrency, the exact same failure came back — except now each hung request lingered even
longer before dying, so the pile-up was worse. Raising a timeout doesn't make a query fast; it
just changes how long you wait to find out it's slow.

Fix #2: the one that actually held

The real fix had two halves.

1. Stop returning everything at once. We split the single mega-endpoint into several focused
calls. The deal page didn't actually need every nested activity, note, and price tier on first
paint — it needed the core opportunity, and then the related collections lazily, as the user
scrolled to them. So we replaced the one-query-to-rule-them-all with:

a lean GET /opportunity/:id that returns just the opportunity and its immediate summary, and
separate, paginated endpoints for the heavy children (/opportunity/:id/line-items, /activities, etc.), each returning only the columns the UI renders.

That alone collapsed the worst-case payload from "the entire deal graph" to something bounded and
predictable, and it meant a single fat deal could no longer monopolize a connection for seconds.

2. Index the paths we actually query. The child lookups were hitting foreign keys and filter
columns that weren't indexed, so they degraded from index seeks to sequential scans as the tables
grew — which is exactly why the problem only showed up with a large tenant. We added the missing
indexes (the opportunity_id foreign keys on the child tables, plus the columns we filtered and
sorted on) so those per-collection queries stayed fast regardless of how much history a customer
had.

Split the work, return only what's needed, and index the access paths — and the outage stopped
recurring. We haven't seen it since. (I'm knocking on wood as I type this.)

What I took away from it

A timeout increase is not a fix. It's a way to postpone the same failure into a worse one. If raising a limit makes the symptom disappear, the real bug is still there — you've just muted the alarm.
include depth is a loaded gun in any ORM. Every convenient nested include is a JOIN or an N+1 waiting to matter. It's invisible at small scale and catastrophic at large scale.
In multi-tenant systems, one customer's data volume is everyone's problem when they share a connection pool. "It's slow for one account" quietly means "it's fragile for all of them."
Slowness usually lives at the access path. The endpoint looked like an application problem; the fix was mostly shape of the data returned + indexes. Measure before you rewrite.

The unglamorous version of the lesson: return less, and make sure the database can find what you
ask for. Both halves mattered — decomposition kept any one request bounded, and indexing kept
each of those smaller requests fast as the data grew.