stacks: add csm (Sesame Conversational Speech Model) to the TTS bench
Sesame CSM-1B via phildougherty/sesame_csm_openai — OpenAI-compat /v1/audio/speech, context-aware conversational speech (voice-agent layer, not a plain reader). Port 8201 on irv-ml1. Gated model: requires CSM_HF_TOKEN (license acceptance) — placeholder in .env.example, real token only in host .env.
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# Sesame CSM stack tunables. Copy to `.env` on irv-ml1 before deploying.
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# ── build pin ────────────────────────────────────────────────────────
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# SHA of phildougherty/sesame_csm_openai. Use the FULL 40-char SHA;
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# `main` works but is NOT reproducible — pin before relying on it.
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# https://github.com/phildougherty/sesame_csm_openai/commits/main
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CSM_SHA=main
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# Local image tag — bump to force a fresh layer build.
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CSM_TAG=v1
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# ── network ──────────────────────────────────────────────────────────
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# Host port. Container listens on 8000 internally.
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# Reserved on irv-ml1: 8188 ComfyUI, 8190 CosyVoice, 8191 Qwen3-TTS,
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# 8192 IndexTTS-2, 8193 Kokoro, 8194 VibeVoice, 8195 Fish-S2,
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# 8196 Chatterbox, 8197 Voxtral, 8198 Kyutai, 8199 Zonos, 8200 Dia,
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# 8765 Parakeet. 8201 picked here.
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CSM_PORT=8201
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# Bind address. 0.0.0.0 exposes on all interfaces (incl. the WG tunnel
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# interface 10.100.79.3); 127.0.0.1 restricts to local-only.
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CSM_BIND=0.0.0.0
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# ── runtime / GPU ────────────────────────────────────────────────────
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# Devices visible inside the container. "0" pins to the RTX 3090
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# (24 GB) — CSM-1B (~8 GB) fits; use "1" for the A6000.
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CSM_GPU_DEVICES=0
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# Optional HF device_map for multi-GPU: auto | balanced | sequential.
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# Leave empty for single-GPU (the common case here).
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CSM_DEVICE_MAP=
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# ── secrets ──────────────────────────────────────────────────────────
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# REQUIRED. sesame/csm-1b is a GATED model: accept its license at
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# https://huggingface.co/sesame/csm-1b
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# then paste a HF token (read scope) here. Without it, first-boot model
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# download 401s. This file is .env.example (committed) — put the REAL
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# token only in the .env on the host, which is gitignored.
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CSM_HF_TOKEN=
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# ── persistent storage on the host ───────────────────────────────────
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# Voices dir — cloned/custom voice samples the wrapper serves by ID.
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# Included in restic (clones need the original sample to recreate).
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CSM_VOICES_DIR=/worktank/csm/voices
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# HuggingFace cache — csm-1b + Llama-3.2-1B tokenizer + Mimi land here
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# on first start. Bind-mounted to survive recreate. Excluded from restic
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# (regenerable from HF, given the token + license acceptance).
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CSM_CACHE_DIR=/worktank/csm/cache
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