(expressive mode): add fish audio#6528
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Registers Fish Audio (s2 family) across the expr pipeline so inference fishaudio/* voices work in expressive mode: - llm_instructions: sounds-filtered builder β discrete emotion vocabulary (regretful, hopeful, ... sarcastic), sounds (laughing, clear throat), breaks, and an emphasis-only wrapping prosody - convert_markup: expr lowers to Fish's native brackets β [very EMOTION] (intensified so the emotion lands harder), [SOUND], [break]/[long-break] by duration, and [emphasis] word - steering: laughing/reflex_sounds govern the two sounds; disabled labels vanish from the advertised vocabulary and examples - transcript: expr, hallucinated native XML, and Fish's own bracket form are all stripped; brackets=True since Fish's native dialect IS brackets - chunking: no _MAX_INPUT_LEN entry on purpose β Fish's markers are sentence-scoped, so per-sentence emission loses no steering and keeps time-to-first-audio low
![devin-ai-integration[bot]](https://avatars.githubusercontent.com/in/811515?s=60&v=4){kind=small}
gemma keeps labels english on its own, but a weaker llm could write label="ε¬γγ", which lowers to a bracket fish doesn't recognize β make it explicit like the pre-refactor prompts did.
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adds fish audio (s2 models) to expressive mode, same shape as inworld/xai/cartesia:
[very EMOTION][break]/[long-break]by durationare you [emphasis] sure[laughing],[chuckling],[clear throat], governed by thelaughing/reflex_soundssteering fields; disabled sounds are dropped from the advertised vocabulary and examples like the other providersdisfluenciesis enabled, so examples never contradict the delivery guidelinesno
_MAX_INPUT_LENentry on purpose: fish's markers are sentence-scoped (every sentence carries its own emotion tag), so we stick with normal per-sentence synthesis instead of batching longer expressive chunks β no steering is lost and time-to-first-audio stays low.verified live through the inference gateway (
fishaudio/s2.1-pro+ gemma-4-31b-it) and with offline sweeps across several llms checking tag placement, conversion, transcript stripping, and steering filters.