perf(tools): generate serializable tool metadata artifacts (#6153)

* perf(tools): generate serializable tool metadata artifacts

Adds `scripts/sync-tool-metadata.ts`, which projects the executable tool
registry down to the data half nobody needs a closure for, plus typed accessors
over the result. No consumer is rewired yet — that is the next PR.

`@/tools/registry` is a ~9,000-line barrel over 4,366 tools. Each `ToolConfig`
mixes plain data (`params`, `outputs`, `name`) with closures (`request.headers`,
`transformResponse`, `directExecution`, `postProcess`), and those closures reach
every integration's SDK client and parser — which is why reaching the barrel
costs ~4,700 modules. Every client-reachable caller was audited: none of them
need a closure. They need `outputs`, `params`, or an existence check.

Two artifacts, not one. `outputs` is ~4 MB of the ~8 MB and has a single
consumer, so it is emitted separately and exposed from its own module; callers
needing only params never load it.

The data is a JSON string parsed at runtime rather than an imported `.json` or
an object literal. That is not stylistic — with `resolveJsonModule` (enabled
repo-wide) a `.json` import makes TypeScript infer a literal type for all 4,366
entries:

  tsc --noEmit, baseline                12.6s
  tsc --noEmit, with `.json` imports    8m07s   (38x)
  tsc --noEmit, with string literals    12.0s

An ambient `declare module` does not short-circuit it (measured: 8m18s), and an
object literal is the same inference work. A single string literal is one cheap
token for the compiler and the bundler, and `JSON.parse` beats evaluating the
equivalent literal at runtime.

The generator refuses to emit any function value, so shipping executable config
to the client fails loudly instead of silently. `hosting` and `schemaEnrichment`
are excluded on those grounds — both hold functions and are server-only.

Also strips empty param entries: the registry has one (`stt_deepgram_v2`, an
`undefined`) which crashes callers that read `param.type` while iterating.
`JSON.stringify` drops `undefined` on its own, so the guard is there for an
explicit `null` — which serializes faithfully and would reach consumers — and to
warn either way.

Wires `tool-metadata:check` into CI alongside the other generated-contract
gates, and ignores the generated directory in biome (it exceeds the 1 MB limit
and was being skipped with a notice on every commit).

Adds a `tool-registry-boundary` skill covering which module to import, the three
non-obvious properties of the artifacts, and how to verify an edge is actually
cut — the canvas route reaches the registry through four redundant paths, so
cutting one alone moves the module count by ~1.

* fix(tools): harden the metadata accessors against inherited keys

Review found two real defects in the generated-metadata layer.

`JSON.parse` returns an object with the normal prototype, so a bare bracket
lookup resolved inherited members: `getToolMetadata('constructor')` returned a
*function* typed as `ToolMetadata`, and `getToolOutputsMetadata('toString')`
likewise — silently violating the accessors' documented "undefined if unknown"
contract. Guarded with `Object.hasOwn`, with a parameterised regression test
over `constructor`, `toString`, `valueOf`, `hasOwnProperty` and `__proto__`.

The generator's no-functions scan also gave up past ten levels of nesting. Param
and output schemas nest arbitrarily, so a deeper closure would have been dropped
silently by `JSON.stringify` while generation reported success — shipping an
incomplete schema and defeating the guarantee the scan exists to provide. The
depth cap is gone; a `WeakSet` handles the cycles that exposes.

* docs(tools): tell tool authors to regenerate the metadata artifacts

A new tool now has a second registration step. Client code reads `params` and
`outputs` from the generated artifacts rather than from the registry, so a tool
added without regenerating them is registered but invisible to the UI — and CI
fails on the stale artifacts.

`add-tools` and `add-integration` are where someone actually adds a tool, so the
step goes in both, next to the registry edit and in each checklist.

* docs(blocks): note when a block change needs tool-metadata regeneration

Adding a block alone needs no regeneration — it references existing tool IDs and
changes no tool's shape. But a change that touches a tool alongside the block
does, and this is where that is easy to miss: a block's `outputs` are authored
to match its tools' outputs, and the UI now reads those from the generated
metadata, so a stale artifact makes the block's declared outputs disagree with
what the panel renders (and fails CI).

Completes the tool-authoring surface alongside add-tools and add-integration.

* docs(tools): cover tool removal in the regeneration guidance

The three tool-authoring skills said to regenerate after adding or changing a
tool, but not after removing one. Removal is equally breaking and equally
guarded: deleting a tool from `tools/registry.ts` without regenerating fails
`tool-metadata:check` (verified — exit 1), so a contributor following the skill
literally would have hit a CI failure the skill never warned about.
This commit is contained in:
Waleed
2026-08-01 11:27:36 -07:00
committed by GitHub
parent 9299cee58d
commit d6e08d38d7
21 changed files with 724 additions and 0 deletions
+232
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#!/usr/bin/env bun
/**
* Projects the executable tool registry down to its serializable metadata.
*
* `apps/sim/tools/registry.ts` is a ~9,000-line barrel importing all 4,300+
* tools. Each `ToolConfig` mixes plain data (`params`, `outputs`, `name`) with
* closures (`request.headers`, `transformResponse`, `directExecution`,
* `postProcess`), and it is those closures — and the SDK clients and API
* helpers they reach — that make the barrel cost ~4,700 modules to compile.
*
* No client-reachable caller needs a closure. They need `outputs` (block output
* inference), `params` (serialization and the tool-input panel), or merely
* whether an id exists. So this script emits that data on its own, letting those
* callers read tool metadata without pulling the registry.
*
* Two artifacts rather than one, because `outputs` is ~4 MB of the ~6 MB and has
* a single consumer — keeping it separate means callers that only need `params`
* or an id check don't pay for it:
*
* tools/generated/tool-metadata.ts id -> { name, description, version, params, oauth }
* tools/generated/tool-outputs.ts id -> outputs
*
* Each artifact holds its data as one JSON string parsed at runtime — see
* `serialize()` for why an imported `.json` or an object literal is not viable
* at this size.
*
* Usage:
* bun run scripts/sync-tool-metadata.ts # write artifacts
* bun run scripts/sync-tool-metadata.ts --check # fail (exit 1) if stale
*/
import { mkdir, readFile, writeFile } from 'node:fs/promises'
import { dirname, resolve } from 'node:path'
import { fileURLToPath } from 'node:url'
import { tools } from '../apps/sim/tools/registry'
import type { ToolConfig } from '../apps/sim/tools/types'
const SCRIPT_DIR = dirname(fileURLToPath(import.meta.url))
const ROOT = resolve(SCRIPT_DIR, '..')
const GENERATED_DIR = resolve(ROOT, 'apps/sim/tools/generated')
const METADATA_PATH = resolve(GENERATED_DIR, 'tool-metadata.ts')
const OUTPUTS_PATH = resolve(GENERATED_DIR, 'tool-outputs.ts')
/**
* Fields copied into `tool-metadata.ts`. Every one must be plain data.
*
* Deliberately excluded: `request`, `transformResponse`, `directExecution`,
* `postProcess` (closures, and the whole reason the registry is expensive);
* `hosting` and `schemaEnrichment` (contain predicates/`enrichSchema`, and are
* only consumed server-side); `outputs` (emitted separately).
*/
const METADATA_FIELDS = ['name', 'description', 'version', 'params', 'oauth'] as const
type ToolRecord = Record<string, ToolConfig>
/**
* Recursively locates any function value, which must never reach the artifacts.
*
* Unbounded in depth on purpose: param and output schemas nest arbitrarily, and
* a depth cap would let a deeply-nested closure through — `JSON.stringify` drops
* it silently, so the artifact would ship an incomplete schema while generation
* reported success. `seen` guards the cycles that removing the cap exposes.
*/
function findFunctionPaths(
value: unknown,
path: string,
found: string[],
seen = new WeakSet<object>()
): void {
if (found.length >= 10 || value == null) return
if (typeof value === 'function') {
found.push(path)
return
}
if (typeof value !== 'object') return
if (seen.has(value as object)) return
seen.add(value as object)
if (Array.isArray(value)) {
value.forEach((item, i) => findFunctionPaths(item, `${path}[${i}]`, found, seen))
return
}
for (const [key, item] of Object.entries(value as object)) {
findFunctionPaths(item, `${path}.${key}`, found, seen)
}
}
/**
* Drops empty param entries so consumers may iterate params unguarded.
*
* The registry contains one (`stt_deepgram_v2`), which crashes any caller that
* reads `param.type` while iterating. That entry is `undefined`, which
* `JSON.stringify` would drop anyway; this guard additionally covers an explicit
* `null` — which serializes faithfully and would reach consumers — and surfaces
* either case as a warning rather than silently.
*/
function normalizeParams(toolId: string, params: ToolConfig['params'] | undefined) {
const normalized: Record<string, unknown> = {}
let dropped = 0
for (const [paramId, config] of Object.entries(params ?? {})) {
if (config == null) {
dropped++
continue
}
normalized[paramId] = config
}
if (dropped > 0) {
console.warn(`[tool-metadata] ${toolId}: dropped ${dropped} empty param entr(y/ies)`)
}
return normalized
}
function build(registry: ToolRecord) {
const metadata: Record<string, unknown> = {}
const outputs: Record<string, unknown> = {}
// Sorted so the artifacts are stable across runs regardless of registry order.
for (const toolId of Object.keys(registry).sort()) {
const tool = registry[toolId] as ToolConfig & Record<string, unknown>
if (!tool) continue
const entry: Record<string, unknown> = { id: tool.id ?? toolId }
for (const field of METADATA_FIELDS) {
if (field === 'params') {
entry.params = normalizeParams(toolId, tool.params)
} else if (tool[field] !== undefined) {
entry[field] = tool[field]
}
}
metadata[toolId] = entry
if (tool.outputs !== undefined) outputs[toolId] = tool.outputs
}
const offenders: string[] = []
findFunctionPaths(metadata, 'metadata', offenders)
findFunctionPaths(outputs, 'outputs', offenders)
if (offenders.length > 0) {
throw new Error(
`Refusing to emit tool metadata: found non-serializable values at:\n ${offenders.join('\n ')}\n` +
`Add the offending field to the exclusion list in ${'scripts/sync-tool-metadata.ts'}.`
)
}
return {
metadata: serialize(
metadata,
'toolMetadata',
'/** Serializable metadata for every built-in tool, keyed by tool id. */'
),
outputs: serialize(
outputs,
'toolOutputs',
'/** Declared output shapes for every built-in tool, keyed by tool id. */'
),
toolCount: Object.keys(metadata).length,
}
}
/**
* Escapes a JSON document into a single-quoted JavaScript string literal.
*
* Single quotes rather than double: JSON is dense with `"`, which would need
* escaping inside a double-quoted literal and inflates the file by ~90%.
*/
function toJsStringLiteral(json: string): string {
const escaped = json
.replace(/\\/g, '\\\\')
.replace(/'/g, "\\'")
.replace(/\n/g, '\\n')
.replace(/\r/g, '\\r')
// Valid raw inside a JSON string, but line terminators in a JS literal.
.replace(/\u2028/g, '\\u2028')
.replace(/\u2029/g, '\\u2029')
return `'${escaped}'`
}
/**
* Emits the data as a string parsed at runtime, rather than as an object
* literal or an imported `.json`.
*
* Both of the obvious alternatives are unusable at this size. A `.json` import
* (with `resolveJsonModule`, which this repo enables) makes TypeScript infer a
* literal type for all 4,300+ entries: it took `tsc --noEmit` from **12.6s to
* 8m07s**, a 38x regression, and an ambient `declare module` does not
* short-circuit it. A generated object literal costs the same, since it is the
* same inference work.
*
* A single string literal is one cheap token for the compiler and the bundler,
* and `JSON.parse` on a large payload is faster at runtime than evaluating the
* equivalent object literal.
*
* The trade-off is that these files diff as one line. That is acceptable for a
* generated artifact nothing reads by eye and CI verifies wholesale.
*/
function serialize(entries: Record<string, unknown>, exportName: string, doc: string): string {
const literal = toJsStringLiteral(JSON.stringify(entries))
return `// Generated by scripts/sync-tool-metadata.ts — do not edit.
// Regenerate with: bun run tool-metadata:generate
${doc}
const ${exportName}: Record<string, unknown> = JSON.parse(
${literal}
)
export default ${exportName}
`
}
async function main() {
const checkOnly = process.argv.includes('--check')
const { metadata, outputs, toolCount } = build(tools as ToolRecord)
if (checkOnly) {
const [existingMetadata, existingOutputs] = await Promise.all([
readFile(METADATA_PATH, 'utf8').catch(() => null),
readFile(OUTPUTS_PATH, 'utf8').catch(() => null),
])
if (existingMetadata !== metadata || existingOutputs !== outputs) {
throw new Error('Generated tool metadata is stale. Run: bun run tool-metadata:generate')
}
console.log(`✓ tool metadata in sync (${toolCount} tools)`)
return
}
await mkdir(GENERATED_DIR, { recursive: true })
await Promise.all([
writeFile(METADATA_PATH, metadata, 'utf8'),
writeFile(OUTPUTS_PATH, outputs, 'utf8'),
])
console.log(`✓ wrote tool metadata for ${toolCount} tools`)
}
await main()