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feat: add Smallest AI TTS and STT provider integration (#444)
* feat: add Smallest AI TTS and STT provider integration Integrates Smallest AI's Waves (TTS) and Pulse (STT) APIs as selectable providers in the Dograh platform. Dograh's pipecat fork already contains the pipecat-level service implementations; this wires them into the API configuration registry and service factory. - Added `SMALLEST = "smallest"` to `ServiceProviders` enum - Registered `SmallestAITTSConfiguration` (lightning-v3.1/v2, voices, language, speed) and `SmallestAISTTConfiguration` (pulse model, 30+ languages) Pydantic config classes with the TTS/STT registries - Added factory branches in `create_tts_service` and `create_stt_service` routing to `SmallestTTSService` and `SmallestSTTService` from pipecat * fix: update Smallest AI models to v4 naming convention - TTS: rename lightning-v3.1 → lightning_v3.1, add lightning_v3.1_pro, drop deprecated lightning-v2 - STT: keep pulse only (pulse-pro is not a streaming model) * fix: change default TTS voice from emily to sophia for lightning_v3.1 emily is not a verified lightning_v3.1 voice; sophia is the pipecat SmallestTTSService default and confirmed to work with the standard pool. * fix: replace 9 invalid lightning_v3.1 voice IDs with verified ones jasmine, james, michael, aria, lara, asel, sarah, rishi, deepika do not exist in the lightning_v3.1 voice catalog. Replaced with avery, liam, lucas, olivia, freya, devansh, maya, dhruv, maithili — all verified against the API. * fix: smallest ai config validation and tts model compatibility * chore: ruff fix * chore: updated smallest ai schema in openapi.json --------- Co-authored-by: Sabiha Khan <sabihak89@gmail.com> Co-authored-by: Sabiha Khan <87858386+chewwbaka@users.noreply.github.com>
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