feat(rime): add coda model support#1523
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🦋 Changeset detectedLatest commit: a8e4559 The changes in this PR will be included in the next version bump. This PR includes changesets to release 31 packages
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davidzhao
approved these changes
May 17, 2026
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Summary
Adds support for Rime's
codaTTS model tolivekit-plugins-rime, alongside the existingmistv2,mistv3, andarcanamodels.Coda mirrors Arcana's chunked HTTP and WebSocket streaming paths but intentionally does not expose
temperature,top_p, orrepetition_penalty. Its server-side payload accepts onlylangandmax_tokens(plussamplingRateon the chunked endpoint).Notable details:
_CodaOptionsdataclass (max_tokens,lang,sample_rate) wired through_TTSOptions,_model_params,TTS.__init__,update_options, andChunkedStream._run._timeout_for_modelreturns the 4-minute Arcana timeout forcodaas well.lyrawhenspeakeris unset andmodel="coda".update_optionssignatures are unchanged;temperature/top_p/repetition_penaltyare silently ignored for coda (same pattern Mist already uses for the Arcana-only kwargs).Test plan
make check(format, lint, mypy) passesrime.TTS(model="coda").synthesize(...)returns audio with expected sample rate and final-frame flagrime.TTS(model="coda", use_websocket=True).stream()streams audio and ends cleanlyid="rime-coda"intests/test_tts.py::SYNTHESIZE_TTS(requiresRIME_API_KEY+DEEPGRAM_API_KEYand toxiproxy)