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feat(stt): unify language resolution across all STT providers
Class-level fix for the 'STT transcribes the wrong language' issue family (#55551, #50181 and siblings). Previously language handling was per-provider chaos: local honoured stt.local.language, Groq/OpenAI/Mistral/DeepInfra sent no language hint at all, xAI silently forced 'en', ElevenLabs used its own language_code key, and there was no global setting. - New _resolve_stt_language() helper: stt.<provider>.language > stt.language (new global key) > HERMES_LOCAL_STT_LANGUAGE > auto-detect. - Threaded through ALL providers: local, local_command, groq, openai, mistral, xai, elevenlabs, deepinfra (shared OpenAI handler), command providers, and plugin dispatch. - xAI no longer forces English when nothing is configured (auto-detect). - Mistral Voxtral now receives a language hint when configured. - stt.groq.model is now honoured from config (previously env-only). - DEFAULT_CONFIG gains stt.language, stt.groq, stt.xai, stt.mistral.language. - Tests: tests/tools/test_stt_language_resolution.py (11 tests, sabotage- verified) + full transcription suite green (236 passed). Builds on cherry-picked contributor work from #19786 (@zombopanda), #23161 (@materemias), #50684 (@BlackishGreen33).
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@ -1128,8 +1128,10 @@ stt:
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model: "base" # tiny | base | small | medium | large-v3 | turbo
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# language: "" # auto-detect; set to "en", "es", "fr", etc. to force
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# initial_prompt: "" # Optional faster-whisper prompt, e.g. bias Chinese output to simplified Chinese
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# language: "" # GLOBAL language hint for every STT provider (per-provider language wins)
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# groq:
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# language: "" # blank = use HERMES_LOCAL_STT_LANGUAGE if set, else auto-detect
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# model: "whisper-large-v3-turbo"
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# language: "" # blank = stt.language > HERMES_LOCAL_STT_LANGUAGE > auto-detect
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openai:
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model: "whisper-1" # whisper-1 | gpt-4o-mini-transcribe | gpt-4o-transcribe
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language: "" # auto-detect; set to "en", "es", "fr", etc. to force
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