llm-output-schema-cons…
Zod schema constraints that Anthropic rejects or silently ignores when sent as structured-output tool definitions via aiSdk.Output.object(). Use when writing…
Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an external system.
$ npx -y skills add growthxai/output --skill output-dev-cost-hooks --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/output-dev-cost-hooksContext preview
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Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an external system.
name: output-dev-cost-hooks description: Subscribe to cost events (cost:http:request, llm:generation:metering) to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an external system. allowed-tools: [Read, Write, Edit, Glob]
This skill documents how to subscribe to Output's cost events so every priced LLM call and every HTTP call with attached cost (via `addRequestCost`, see `output-dev-http-client-create`) can be forwarded to your own observability system — a webhook, a structured log pipeline, a metrics backend, etc. Handler errors are caught and logged by the framework; they never affect the workflow or the request that triggered them.
This skill is about **project-wide hook registration** for cost data already emitted by the framework. To make an HTTP client emit cost in the first place, see `output-dev-http-client-create`.
// src/cost_hooks.ts
import { on } from '@outputai/core/hooks';
import type { HttpRequestCostEvent } from '@outputai/http';
import type { LLMGenerationMeteringEvent } from '@outputai/llm';
on<HttpRequestCostEvent>('cost:http:request', async event => {
// handle HTTP cost
});
on<LLMGenerationMeteringEvent>('llm:generation:metering', async event => {
// handle LLM cost
});Add the file to `outputai.hookFiles` in `package.json`, alongside any existing hook files. Paths are relative to the package root and point at the **built** `.js` output — `npm run output:worker:build` compiles `src/` to `dist/` (per `tsconfig.json`'s `rootDir`/`outDir`), so `src/cost_hooks.ts` is registered as `dist/cost_hooks.js`, not the `.ts` source itself. The worker loads these files at startup.
{
"outputai": {
"hookFiles": [
"node_modules/@outputai/credentials/dist/hooks.js",
"./dist/cost_hooks.js"
]
}
}If you'd rather skip the build step, a hook file can also be plain, uncompiled JavaScript registered directly at its `src/` path (`"./src/cost_hooks.js"`) — see `https://docs.output.ai/operations/error-hooks` for that variant. The rest of this skill uses TypeScript + the built-output path, since that's what the framework's own examples (and every other file in a scaffolded project) use.
| Event | Type import | When it fires | Prefer for | |-------|-------------|----------------|-------------| | `llm:generation:metering` | `LLMGenerationMeteringEvent` from `@outputai/llm` | After every LLM generation (text, image, Agent, streaming) that reports usage — including failed calls that got at least partial usage | New LLM cost integrations | | `cost:llm:request` | `LLMUsageEvent` from `@outputai/llm` | Legacy/compatible LLM cost event, same completion path | Existing handlers only — do not use for new work | | `cost:http:request` | `HttpRequestCostEvent` from `@outputai/http` | Only when your code (or a client's `afterResponse` hook) calls `addRequestCost(response, total)` | Non-LLM paid API calls |
Every event carries the same envelope: `eventId` (UUID v4, stable idempotency key), `eventDate` (ms epoch), `activityInfo` and `workflowDetails` (present when emitted from within a step/evaluator), `outputActivityKind`, and `payload` (the event-specific data described above).
Use this when spend needs to reach an external observability system over HTTP. Forward the raw envelope plus payload; redact anything that might carry secrets (API keys or tokens embedded in query strings) before logging or sending the URL.
// src/cost_hooks.ts
import { on } from '@outputai/core/hooks';
import { credentials } from '@outputai/credentials';
import type { HttpRequestCostEvent } from '@outputai/http';
import type { LLMGenerationMeteringEvent } from '@outputai/llm';
// Use plain fetch here, not createKyClient/outputFetch. Handlers run inside
// the emitting step's async context, so a traced client would add its own
// HTTP trace event to that step's trace on every forwarded cost event.
//
// Read the credential lazily with `get`, not `require`, at module scope: a
// hook file is imported at worker startup by an unguarded `await import()`
// (there's no try/catch around it), so a `require()` that throws here takes
// the whole worker down. `get`/`require` also only see workflow-scoped
// credentials from inside an activity — at startup, outside any activity,
// they resolve the global credential set only, so keep this in a global
// (not per-workflow) credential file.
const getWebhookUrl = (): string | undefined => credentials.get('observability.webhook_url') as string | undefined;
const postEvent = async (json: Record<string, unknown>): Promise<void> => {
const webhookUrl = getWebhookUrl();
if (!webhookUrl) {
return;
}
const controller = new AbortController();
const timeout = setTimeout(() => controller.abort(), 5000);
try {
await fetch(`${webhookUrl}/events`, {
method: 'POST',
headers: { 'content-type': 'application/json' },
body: JSON.stringify(json),
signal: controller.signal
});
} finally {
clearTimeout(timeout);
}
};
// Strip query strings — some APIs put API keys or tokens there.
const redactUrl = (url: string): string => {
try {
const parsed = new URL(url);
return `${parsed.origin}${parsed.pathname}`;
} catch {
return '[unparseable-url]';
}
};
on<HttpRequestCostEvent>('cost:http:request', async event => {
if (!event.workflowThe open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code — describe what you want, Claude builds it, with all the best practices already in place. One framework.
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