feat: add ElevenLabs realtime STT provider support (#512) (#522)

* feat: add ElevenLabs realtime STT provider support (#512)

Wire ElevenLabs scribe_v2_realtime into the STT registry and pipeline factory so BYOK transcribers can use the same provider already supported for TTS.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix: address ElevenLabs STT review feedback for language, commits, and host

Pass custom language codes through instead of defaulting to English, use ElevenLabs VAD commit strategy because Dograh VAD runs downstream of STT, and document hostname-only realtime base_url handling.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix: preserve ElevenLabs STT endpoint port in realtime host parsing

Use urlparse netloc instead of hostname so validated BYOK/proxy base URLs keep non-default ports when Pipecat builds the websocket endpoint.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix: preserve ElevenLabs STT proxy path prefix and remove duplicate tests

Include URL path segments in realtime host normalization for BYOK proxies and delete shadowed pytest definitions.

Co-authored-by: Cursor <cursoragent@cursor.com>

* fix: allow custom ElevenLabs model input

* fix: normalize ElevenLabs websocket URLs

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Abhishek Kumar <abhishek@a6k.me>
This commit is contained in:
Muhammad Qasim 2026-07-13 14:17:07 +05:00 committed by GitHub
parent c76076fb93
commit cfe1d3709a
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9 changed files with 447 additions and 11 deletions

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@ -3,7 +3,7 @@ title: "Transcriber"
description: "Voice Agents use STT (Speech to Text), to transcribe what the user speaks. This transcribed speech as text goes into an LLM to generate the response that gets played out to the user."
---
Dograh platform supports Deepgram, OpenAI, Google, Azure Speech, AssemblyAI, Speechmatics, Cartesia, Gladia, Sarvam, Smallest AI, Hugging Face, and Dograh transcribers. You can take a look at the providers documentation of which language to select for your language requirements.
Dograh platform supports Deepgram, OpenAI, Google, Azure Speech, AssemblyAI, Speechmatics, Cartesia, Gladia, Sarvam, Smallest AI, Hugging Face, ElevenLabs, and Dograh transcribers. You can take a look at the providers documentation of which language to select for your language requirements.
<Warning>
Transcriber providers receive the data needed to transcribe speech, such as call audio, language settings, keyterms, and request metadata. Review the provider's data processing, retention, model training, and regional hosting policies before using sensitive data.