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docker/jarvis-config.template.json hardcoded "tts_engine": "piper". entrypoint
renders it into /app/config/jarvis.json, and bridge _tts_engine_setting() reads
that JSON BEFORE the env — so TTS_ENGINE=melo in .env was ignored and the bot
synthesised Korean with the English Piper voice (the "foreign accent" the user
heard); the warm melo-worker sat unused.
Template now carries ${TTS_ENGINE}; compose sets TTS_ENGINE=${TTS_ENGINE:-melo}
so envsubst renders the real engine. Verified: envsubst with TTS_ENGINE=melo
yields "tts_engine": "melo", and `docker compose config` passes TTS_ENGINE=melo.
Added a regression test that the template stays env-driven and renders the
configured engine.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
20 lines
644 B
JSON
20 lines
644 B
JSON
{
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"db_path": "${JARVIS_DB_PATH}",
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"sqlite_vss_path": null,
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"ollama_base_url": "${OLLAMA_BASE_URL}",
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"ollama_embed_model": "${OLLAMA_EMBED_MODEL}",
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"ollama_chat_model": "${OLLAMA_CHAT_MODEL}",
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"intent_judge_model": "${OLLAMA_INTENT_MODEL}",
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"tts_enabled": true,
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"tts_engine": "${TTS_ENGINE}",
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"tts_piper_model_path": "${TTS_PIPER_MODEL_PATH}",
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"whisper_model": "${WHISPER_MODEL}",
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"whisper_backend": "faster-whisper",
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"whisper_device": "${WHISPER_DEVICE}",
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"whisper_compute_type": "${WHISPER_COMPUTE_TYPE}",
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"location_enabled": true,
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"web_search_enabled": true,
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"wikipedia_fallback_enabled": true,
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"mcps": {}
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}
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