Limit 1
The locale has no dedicated LanguagePack in the runtime registry on 15 Aug 2026, so resolve_pack returns the world pack.
മലയാളം · measured India voice evidence
Malayalam resolves to Bharat Essential, Google Cloud Text-to-Speech voice ml-IN-Wavenet-A, the world pack and the cascade engine. Three fresh production-adapter runs measured a 765 ms median to the first non-empty 8 kHz PCM audio chunk on 15 Aug 2026.
Measured 15 Aug 2026 · three runs · 8 kHz PCM16 · no provider fallback
The runtime trace starts with BaseBusiness.get_voice_pack, continues through voice_config.resolve_pack and ends at voice_config.resolve_engine. The generic integration returned none from the generic business integration, resolve_pack selected the world pack, and resolve_engine selected cascade. The TTS factory then selected Google Cloud Text-to-Speech voice ml-IN-Wavenet-A, displayed as Lakshmi, while speech recognition remained Sarvam saaras:v3.
| Runtime check | Resolved value | Meaning |
|---|---|---|
| get_voice_pack | None from the generic business integration | A client-specific pack would override the generic registry result. |
| resolve_pack | world pack | Normal replies detect and mirror language, but fixed world-pack strings remain English. |
| voice_config | Bharat Essential · Google Cloud Text-to-Speech · ml-IN-Wavenet-A | The grade write-through pins the production TTS provider and voice identifier. |
| resolve_engine | cascade | The cascade engine uses separate STT, reasoning and TTS stages. |
| speech recognition | Sarvam saaras:v3 | The primary recognition locale is ml-IN. |
The runtime table names the actual Malayalam call path rather than a language-support logo: generic integration result, resolved pack, sold grade, provider voice, engine and speech-recognition provider. A client integration can replace the generic pack, but the benchmark fixture used no client override.
Malayalam measured 765, 648, 853 ms across three isolated production-adapter requests. The median was 765 ms. Each run synthesized “നമസ്കാരം, ഞാൻ നിങ്ങളെ എങ്ങനെ സഹായിക്കാം?” at 8 kHz PCM16, started the timer immediately before speak(text), stopped at the first non-empty audio chunk, verified the configured adapter had not failed over, and cancelled the iterator after that first chunk.
| Run | First audio | Audio format | Adapter result |
|---|---|---|---|
| Run 1 | 765 ms | 8 kHz PCM16 | Google Cloud Text-to-Speech; no fallback |
| Run 2 | 648 ms | 8 kHz PCM16 | Google Cloud Text-to-Speech; no fallback |
| Run 3 | 853 ms | 8 kHz PCM16 | Google Cloud Text-to-Speech; no fallback |
The latency table reports a median of 765 ms from three measurements on 15 Aug 2026. The number is a reproducible TTS-adapter read, not end-to-end call latency, a percentile, or an uptime promise. Caller speech, transcription, model generation, carrier delivery and handset playback remain outside the timer.
Malayalam normal replies are governed by the world pack's detect-and-mirror instruction, not a Malayalam-specific fixed register. The actual fixed filler, retry and retraction strings in the resolved pack are English.
| Pack event | Exact runtime string | Register read |
|---|---|---|
| Filler while a tool runs | One moment | The fixed world-pack filler is English rather than a localized line. |
| Retry after unclear speech | Sorry, could you say that once more? | The fixed recovery line is polite English. |
| Retract an unsupported action | Sorry — I can't actually send that from here. Let me take your number and someone will get it across to you. | The fixed safety fallback is English even when the model's normal replies mirror the caller's language. |
The sample table copies three fixed strings from the world pack: the tool filler, unclear-speech retry and unsupported-action retraction. The English strings are a disclosed localization gap rather than translated marketing samples.
The locale has no dedicated LanguagePack in the runtime registry on 15 Aug 2026, so resolve_pack returns the world pack.
The world pack tells the model to detect and mirror the caller's language, but its fixed filler, retry and retraction strings remain English.
The first-audio benchmark measures TTS adapter latency only; it excludes caller speech recognition, model reasoning, carrier transit and handset playback.
The WaveNet adapter is non-streaming: Google returns the full clip before the first 200 ms PCM frame is yielded.
The fresh selected-page output did not expose Malayalam demand, so the Malayalam route is a direct consolidation of the existing language post rather than a language-by-vertical expansion. The existing language article remains the workflow and cost depth page; the multilingual category index provides cross-language buying context; and the product page describes the broader scheduled-language surface.
The related hubs keep one route per language and never multiply languages by verticals. Every page publishes its own runtime trace, three dated latency reads and fixed-pack evidence.
The answers preserve the runtime resolution, measured median, exact run values and pack limitation as standalone passages that do not depend on the tables.
Malayalam resolves to Bharat Essential, the Google Cloud Text-to-Speech ml-IN-Wavenet-A voice, Sarvam saaras:v3 recognition and the cascade engine. The generic integration returned no client-specific pack, so resolve_pack selected the world pack on 15 Aug 2026.
Malayalam measured 765 ms median first-audio latency across three fresh 8 kHz PCM16 adapter runs: 765, 648, 853 ms. The timer started immediately before the production adapter's speak call and stopped at the first non-empty audio chunk on 15 Aug 2026.
Malayalam does not have a dedicated runtime pack on 15 Aug 2026. resolve_pack returns the world pack, which asks the model to detect and mirror language but keeps its fixed filler and recovery strings in English.