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[bot] Instrument ElevenLabs (959,036 weekly downloads)

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Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
55/100
Tipo di issue
Funzionalità
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
node.js, typescript
Ambito
ai, observability-sre

Direzione di ricerca

Inizia esaminando i wrapper esistenti in js/src/wrappers/, i plugin in js/src/instrumentation/plugins/, le voci di auto-instrumentation in js/src/auto-instrumentations/configs/ e gli scenari e2e. Confronta questi pattern con i metodi elencati di @elevenlabs/elevenlabs-js e determina la copertura di instrumentation necessaria. Il lavoro è completato quando le superfici ElevenLabs dispongono di instrumentation, configurazione e uno scenario e2e che copra i percorsi di esecuzione supportati.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

<!-- library-gap-audit: elevenlabs-node-sdk -->

Summary

ElevenLabs publishes an official Node/TypeScript SDK, @elevenlabs/elevenlabs-js on npm, providing execution APIs for text-to-speech generation, speech-to-text transcription, and real-time conversational voice agent execution. This repository has zero instrumentation for any ElevenLabs SDK surface — no wrapper, no diagnostics channel, no plugin, no auto-instrumentation config, no e2e scenario.

What's missing

Execution surfaces exposed by @elevenlabs/elevenlabs-js that are not instrumented:

SDK Method Description
client.textToSpeech.convert({ text, modelId, voiceId }) Text-to-speech generation, returns synthesized audio
client.textToSpeech.stream(...) Streaming text-to-speech generation
client.speechToText.convert(...) Speech-to-text transcription
client.speechEngine.attach(...) / SpeechEngine.Server (onTranscript, session.sendResponse(...)) Real-time conversational voice agent execution loop
client.conversationalAi agent connection APIs Agent-run execution for voice agents

The SDK ships its own HTTP client (defaults to node-fetch, falls back to global fetch) — it does not depend on the openai package, so none of it is picked up by existing OpenAI/AI-SDK auto-instrumentation.

No coverage in any instrumentation layer:

  • No wrapper function (e.g. wrapElevenLabs()) in js/src/wrappers/
  • No channel definitions or plugin in js/src/instrumentation/plugins/
  • No auto-instrumentation config in js/src/auto-instrumentations/configs/
  • No e2e test scenario under e2e/scenarios/
  • Repo-wide grep for elevenlabs/11labs (case-insensitive) returns zero matches anywhere in the repo

Weekly downloads

Weekly downloads: 744,985 (as of 2026-07-24; https://api.npmjs.org/downloads/point/last-week/@elevenlabs/elevenlabs-js)

Braintrust docs status

not_found. ElevenLabs does not appear anywhere on the Braintrust integrations index page — https://www.braintrust.dev/docs/integrations — which lists AI-provider and framework integrations (Anthropic, OpenAI, Gemini, Cohere, Groq, xAI, etc.) but has no entry for ElevenLabs, voice, or TTS/STT providers. The page's only guidance for unlisted providers is the generic AI Proxy gateway (/docs/deploy/ai-proxy) or contacting Braintrust to request an integration — there is no ElevenLabs-specific documentation of any kind.

Upstream references

Braintrust docs sources checked

Local files inspected

  • Repo-wide grep for deepgram|assemblyai|elevenlabs|11labs (case-insensitive) — zero matches
  • js/src/wrappers/ — full directory listing (37 files) — no elevenlabs.ts/elevenLabs.ts wrapper
  • js/src/instrumentation/plugins/ — no ElevenLabs channels or plugin file
  • js/src/auto-instrumentations/configs/ — full directory listing (28 files) — no ElevenLabs config entry
  • e2e/scenarios/ — no ElevenLabs test scenario
Lingua principale
TypeScript
Stelle
29
Fork
16
Merge medio
1g 22h
PR unite (30g)
72

Preparare l'ambiente

  • Include un Dockerfile o un file Docker Compose
  • Nessun modello di pull request
  • Nessuna guida per i contributori

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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