feat: {response,mood} output contract + router removal, TTS piper plan
Daemon side of Decision B: parse {"response","mood"} across the 4 consumers
(replier, nudges, reminders, chat), fall back to legacy formats. Drop the
LLM router — the classifier handles routing; replier/phraser share one
llm.Client (timeout 20s->60s). llm.Client reads reasoning_content when
content is empty (thinking models).
Docs: TTS piper-student plan (OmniVoice teacher -> piper student, from
scratch, phoneme-first). CLAUDE.md training guide.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -6,11 +6,11 @@
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"state_dir": "/var/lib/maven",
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"phraser": {
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"model_path": "/opt/maven/models/llm/LFM2.5/LFM2.5-1.2B-Instruct-Q4_K_M.gguf",
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"model_path": "/opt/maven/models/llm/nemotron3-nano/NVIDIA-Nemotron-3-Nano-4B-UD-Q4_K_XL.gguf",
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"bin_path": "llama-server",
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"n_gpu_layers": 99,
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"n_ctx": 2048,
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"timeout": "20s"
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"timeout": "60s"
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},
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"telegram": {
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