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esh-pfi-infrastructure/persistent-memory.md

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# Persistent memory — eshpfi-management
_Last updated: 2026-06-05_
## Repo purpose
Reference workspace for PFI infrastructure: server inventory, canonical
Docker Compose stacks, ops playbooks, and conventions. Authoritative
copies of compose files live on the servers under
`/opt/docker/compose/<stack>/`; this repo mirrors them for version
control, editing, planning, and CI-driven deploys.
## Tools and conventions
Sister repos (separate gitea repos, deployed by playbooks here):
| Repo | Role | CI status |
|---|---|---|
| `vh/task-board` | MCP + web dashboard for assistant task state (port 7878) | push-to-main → CI deploys (2026-04-29) |
| `vh/vor` | Inquisitor UI sidecar (port 7879) | push-to-main → CI deploys (2026-04-29) |
| `vh/nevermore` | Twice-daily LLM-curated briefing (port 8181, replaces news-digest) | push-to-main → CI deploys (2026-04-30) |
| `vh/asset-engine` | Internal control plane over inference services (port 8200, LAN-direct) | push-to-main → CI deploys (2026-05-12) |
| `vh/althing` | Inter-agent message bus (chamber UI port 7881, forseti + agent-runner daemons, valkey IPC) | push-to-main → CI deploys (2026-05-14) |
| `vh/mead-hall` | Bifrost tool-provider sidecar (port 5173 on dev VM 10.100.10.50) | push-to-main → CI deploys (2026-05-16) |
| `vh/skaldsong` | Wizard + reader surface (port 8300, ana-docker, registry-pull pattern) | push-to-main → CI deploys (2026-05-19) |
| `vh/worldtree` | Conversation API (corviduo-dev demo :8080 / personal :8081 / pinned :8082) — Heimdall auth, Bifrost integration | push-to-main → CI deploys |
| `vh/volva` | Codex peer agent on althing bus (single-turn oracle, systemd daemon on nh3-dev) | manual install via `deploy/volva.service` (2026-05-18) |
| `vh/yt-voice-clipper` | YouTube → diarized voice-clip dataset builder + audition console (irv-ml1 :8000) | push-to-main → **gitea-webhook auto-deploy** to irv-ml1 (2026-06-03) — see `docs/runbooks/ytvc-autodeploy.md` |
- **Two-layer backups** — Backrest orchestrates restic for file+DB (5
fleet repos, daily 01:00 PDT); PBS-ANA primary + PBS-NH3 DR mirror for
VM images. ana-nas is the SPOF for postgres + PBS-ANA datastore +
cross-site restic targets — see `docs/runbooks/disaster-recovery.md`
for the blast-radius matrix.
- **`pull-hf-repo.yaml`** is the canonical "get a HuggingFace
model/dataset onto ana-ml2's shared cache at
`/tank/aimodels/huggingface/`" playbook. Supports `--var repo_type=model|dataset|space`. Replaces ad-hoc `huggingface_hub.snapshot_download` patterns.
- **Worldtree admin auth — per-instance.** Each Worldtree deployment
(demo :8080, personal :8081, pinned :8082) has its own Heimdall
registry and its own bootstrap admin key. Infra-ops's stored
long-lived admin key (`key_id 61419c92`) at
`ana-docker:/opt/docker/conf/.secrets/worldtree-infra-ops-admin`
auths against **demo only**. For personal-instance admin ops, fetch
the bootstrap admin per-op via
`docker exec worldtree-personal-worldtree-api-1 printenv WORLDTREE_BOOTSTRAP_ADMIN_KEY`
on corviduo-dev. Used for `POST /admin/keys`, admin diagnostics
(`/admin/sessions/<id>/{bifrost,tools}`, etc.).
- **Per-project user keys against personal Worldtree** (issued
2026-05-19): `skaldsong:79744637` (nh3-dev iteration),
`skaldsong:7c1dbbbe` (ana-docker prod), `althing:50d85460`,
`mead-hall:a360822d`. Same `user_id=skaldsong` across both
skaldsong keys → shared Heimdall agent slot; different `key_id`
→ independently rotatable. Pattern: mint via `/admin/keys`, drop
value to `/tmp/wt-personal-<name>.key` mode 600, dev collects +
shreds (DO NOT cat to chat transcript).
- **Skaldsong CD pattern (registry-pull).** Differs from althing /
asset-engine which build-on-host. vh/skaldsong's CI builds and
pushes `gitea.phasefinal.com/vh/skaldsong:<sha>` + `:latest`;
`playbooks/deploy-skaldsong.yaml` on ana-docker pulls + recreates.
SHA-pin only (no `:latest` health-gated advance yet). Prereq: host
needs `docker login gitea.phasefinal.com` once (read:package PAT) —
not currently in the workflow.
- **docker-as-root pattern** (for ops that have no admin API, e.g.
`SqliteUserStore.set_bifrost_credentials`): on hosts where the SSH
user is in the `docker` group but lacks passwordless sudo, run
`docker run --rm -v <target-dir>:/wt -v /var/run/docker.sock:/var/run/docker.sock docker:cli sh -c "..."` to edit deploy-owned files
without sudo. Documented with security warning in
`servers/corviduo-dev/README.md`. docker-group membership is
effectively root via bind-mount; treat as a sudo-equivalent grant.
**Foot-gun: when running `docker compose` inside this sandbox,
any relative path in compose.yaml (e.g. `${WORLDTREE_CONFIG_DIR:-./config}`)
resolves against the sandbox CWD, but Docker daemon interprets the
resulting path against the HOST filesystem. Always pass `-e VAR=/abs/path`
to the docker run invocation for any relative-default config dir.**
- **`scripts/elway` sudo handling** — elway prompts for the sudo password
ONCE via `getpass` before the first `sudo: true` step. That prompt is
interactive → elway can't run unattended from a non-TTY tool if any step
needs sudo. For sudo-free playbooks (no `sudo: true` steps) it runs fully
non-interactive over key SSH. To create root-owned dirs WITHOUT host sudo,
use the docker-daemon-root trick: `docker run --rm -v /worktank:/mnt alpine
sh -c 'mkdir -p /mnt/<x> && chown -R 1000:1000 /mnt/<x>'`.
## Current state / in-flight
_As of 2026-06-05:_
- **Granite-FP8 + observability session — all LIVE & committed (`34a43a0`, `9171e6a`).**
- **Granite 4.1 8B FP8 is the production summarizer** (`vllm-granite` :8004, ana-ml2 GPU 1,
50K ctx, CUDA graphs) — replaced phi4-mini, validated by brokkr (valid_format 1.0, FP8 stays).
- **LiteLLM gateway** (:4000) routes `granite-4.1-8b`→vLLM (explicit entry shadows the `*`
wildcard) + **Langfuse v3 wired** (ana-docker:3001, "LLM Throughput (tok/s)" dashboard built).
- **GPU-1 retuned** (trio over-provisioned KV trimmed) → granite runs with CUDA graphs + ~10 GB
free as a future Granite-text-LoRA hedge. Streaming through the gateway confirmed (TTFT 0.24s).
- **ana-docker pruned** 77 GB (unused images + build cache; disk 83%→49%) to fit ClickHouse.
- **Worldtree summarizer repoint — NO instance change now; DEFERRED to Worldtree #254** (see Recent
decisions). worldtree-dev will ping with the providers.yaml + consumer config when #254 un-holds;
infra-ops applies to the personal/demo/pinned bind mounts (vh@10.250.50.152, `/opt/worldtree*/config`).
- **Commits unpushed** (`34a43a0`, `9171e6a`, nevermore `d3e19b8` in its repo) — operator's call to push.
- **Operator flagged "new work to do"** for the next session — this snapshot is the handoff.
- **Disclosed-keys hygiene queue** (rotate at convenience): HF token `hf_HBl…` (lkraven's), `/tmp/
wt-personal-skaldsong-prod.key`, Worldtree `Z_AI_API_KEY`, Gitea runner reg token, `MINIFLUX_PASSWORD`
(leaked twice). (sk-corvid + the langfuse/vastblueai-gateway keys are dev-enclosed — leakage deprioritized.)
- **Still open from prior:** clean legacy `news-digest` on ana-docker; watch nh3-nas `/volume1`; **pin
llama-swap to GPU 0** for clean GPU-1 separation; the `docker push 60s ceiling` mystery uninstrumented.
## Recent decisions
- `[2026-06-05]` **Granite 4.1 8B FP8 replaced phi4-mini as the production summarizer** (supersedes
the 2026-06-04 phi4 decision below). Beat phi4 on precision in brokkr's R15 P03. **Staying FP8, not
Q4/AWQ** — primary workload (agent memory + summarization) is high-concurrency, where FP8-on-Ada
scales ~linearly (profiled 2010 tok/s @ C=32; single-stream 67.5 is batch-1 GEMV physics, not a
config bug — placement/kernel/contention all ruled out). vLLM `vllm-granite` :8004 GPU 1, official
IBM compressed-tensors FP8, CUDA graphs. **GPU-1 retune** (trio utils 0.2/0.2/0.3→0.07/0.07/0.18,
granite 0.36) freed ~10 GB → CUDA graphs + a Granite-text-LoRA hedge. nevermore repointed. (`34a43a0`,
auto-memory `reference_ana_ml2_vllm_granite`)
- `[2026-06-05]` **Langfuse v3 stood up on ana-docker (:3001) as the gateway trace UI**; LiteLLM
`success_callback:[langfuse]` live (project `gateway`). Pretty prompt/completion/reasoning traces +
an `outputTokensPerSecond` tok/s dashboard. NOT a prerequisite — spend_logs already capture
tokens+latency. (`9171e6a`, auto-memory `reference_litellm_gateway`)
- `[2026-06-05]` **Ollama BANNED fleet-wide** (operator directive) — never stand one up; tear down any
found; serve via llama-swap or vLLM. Torn down irv-ml1 :11434 (freed 19 GB). (auto-memory
`feedback_avoid_ollama`)
- `[2026-06-05]` **ComfyUI / FLUX.2 work split to `~/development/comfy-dev`** (dedicated repo + agent).
FLUX.2-klein (fp8 + q8 GGUF, stock + uncensored encoders) installed on the irv-ml1 Docker ComfyUI;
eshpfi keeps the `comfyui` stack compose, comfy-dev owns the model/workflow knowledge. (auto-memory
`reference_irv_ml1_ampere_quant`)
- `[2026-06-05]` **Worldtree summarizer config refresh DEFERRED to Worldtree #254** (granite-4.1-8b is
the structured-output profile, ON HOLD, no live consumer; the conversation summarizer defaults to
claude-haiku — the "phi4 erroring" premise was wrong). No instance changes now; worldtree-dev hands
the exact providers.yaml + consumer config when #254 un-holds, infra-ops applies to the bind mounts.
**CORRECTION to the 2026-06-04 "deploys ALL CICD" line:** the bind-mount CONFIGS (providers.yaml,
vh-owned on corviduo `/opt/worldtree*/config`) ARE infra-ops's to apply directly — only the
app/image DEPLOY is CICD; the `.env` is deploy-owned. (auto-memory `reference_worldtree_deploys_cicd`)
- `[2026-06-04]` **phi4-mini FP8 on ana-ml2 vLLM is the nevermore summarizer/dreaming agent;
granite-4-small retired** from llama-swap (config-only; GGUFs on disk). 50K ctx (dropped from
Phi-4's 128K max to fit GPU 1's ~10 GB free) + FP8 KV. (`40a374b`)
- `[2026-06-04]` **phi4 ships the CANONICAL/official Phi-4 chat template, NOT Ollama's.**
Ollama's bundled template omits the system `<|end|>` — that flattered brokkr's R15 eval but is
the DIVERGENT scaffold (Dvalin: the system `<|end|>` is Microsoft's intended format). Applied an
Ollama-matching override then reverted — ship correct, not the benchmark quirk. (`90e08f0`→`27eb537`;
"headgun" lesson in Tried.)
- `[2026-06-04]` **infra-ops NOPASSWD-sudo identity commissioned, scoped to PFI boxes** (+esh-docker-vm
by operator override) — so infra-ops completes DevOps end-to-end vs handing the operator sudo steps.
Dedicated key, sudo log_output, key-gated. (`8c32a05`)
- `[2026-06-04]` **Worldtree demo/pinned/personal deploys are ALL CI/CD, not infra-ops** — a "deploy
vX.Y.Z" request to infra-ops is MISROUTED → point them back to their pipeline. The granite→phi4
repoint: worldtree-dev self-served via their CI/CD (v0.30.10). (`d8d776c`)
- `[2026-06-04]` **ollama upgraded 0.9.0→0.30.4 on irv-ml1** (Ministral-3 is a Dec-2025 model the
old engine refused); A6000 pinned by **UUID** not index (native fastest-first ≠ nvidia-smi PCI).
- `[2026-06-04]` **`brokkr` user (no-sudo) on irv-ml1; R14/R15/R16 substrate moved to /home/brokkr.**
Persistent box services there need SYSTEM systemd units (see Tried).
- `[2026-06-03]` **yt-voice-clipper bot-gate fix = route yt-dlp through NH3 residential
egress, NOT cookies/PO-token.** YouTube hard-flags the Irvine colo IP (LOGIN_REQUIRED on a
public video even with no cookies). Cookies + the bgutil PO-token + deno JS-runtime all
loaded fine — the gate is pure IP reputation. Operator chose proxy-via-nh3-dev → durable
dante proxy → proven. The egress proxy is a reusable fleet lever for any datacenter-IP-gated
service.
- `[2026-06-03]` **yt-voice-clipper push-to-deploy via gitea webhook** (operator-directed,
after 6 manual rebuilds in ~40 min). Webhook (not poll) — gitea CAN reach the WG IP per the
operator. The proxy env + Homepage labels live in the **host-specific override** (untracked
→ survive the auto-deploy's `git reset --hard`), NOT yt-voice-clipper-dev's image. Runbook
`d4f180d`.
- `[2026-06-03]` **R14 scope = (a) provision-only.** infra-ops provides box + CUDA env +
engines + weights + NFS; brokkr/dev wires `arms.py` + runs — keeps infra-ops OFF the
VIVAE-processing path (VIVAE = Variably Intense Vocalizations of Affect/Emotion, CHARTER §4
highest-liability; operator authorized R&D-eval-only, quarantined). Box = irv-ml1 (A6000
free; ana-ml2 GPU-saturated). Per-engine venvs (divergent torch stacks); A6000 = `cuda:0`
NATIVE (≠ docker `=1`).
- `[2026-06-03]` **Declined worldtree v0.30.4 staging deploy** — that's worldtree-team's
CI/CD lane (a developer `staging/vX.Y.Z` git-tag promote), not infra-ops. They self-corrected
to the same conclusion independently.
- `[2026-06-02]` **Chatterbox → main TTS engine; build custom `chatterbox-fast`
streaming container.** Workload = single-stream interactive. **GPU placement:
3090 (device 0) if it fits else A6000 (device 1)** — shared dev stack, 20.5 GB
3090-idle is expected residency, not a blocker. **Cutover: parallel catalog
entry**, burn in beside live `chatterbox`, then flip. **Streaming approach:
adaptive buffer-ratchet chunking** (see in-flight). Native frame-streaming
abandoned (Tried/abandoned). Tracked: `docs/design/chatterbox-fast-plan.md`.
- `[2026-06-02]` **Sentence-splitting loses quality (operator-corrected).** I
claimed naive sentence-level streaming has "zero quality loss" — WRONG. The
T3 AR backbone conditions prosody on the WHOLE text; splitting loses
cross-sentence prosodic context (contextual delivery, declination, affect
continuity) even though voice timbre stays (reference-conditioned). No
*artifacts* ≠ no *quality loss*. Hence the adaptive-chunk design (maximize
context per chunk subject to latency budget), not fixed per-sentence splits.
- `[2026-06-01]` **Fish reference_id empty-dir fix shipped** (`c5bbb90`) — see
in-flight + Tried/abandoned. Populated `references/<name>/<name>.wav`+`.lab`
for all 32 voices; playbook gained normalize-step + A/B smoke gate. glados got
a real transcript (ASR'd via Parakeet): the Portal "Welcome to test chamber 4"
lines.
_37 older entries archived to archival-memory.md._
## Tried and abandoned
- `[2026-06-05]` **vLLM 0.19 CUDA-graph-capture OOMs on a SHARED GPU** — it fills the KV cache to the
`--gpu-memory-utilization` budget WITHOUT reserving graph-capture memory, so `capture_model` OOMs
AFTER weights+KV load (model/KV log looks healthy, then crash-loops; saw 11 restarts at util 0.36
with 237 MB free). Fix: free co-tenant room (right-size the other vLLM services) OR `--enforce-eager`
(no graphs, ~15-25% slower decode). FP8 single-stream is batch-1 GEMV (memory-bound, FP8 tensor cores
need batch>1) → Q4 wins single-stream by physics; FP8 wins under concurrency. (`reference_ana_ml2_vllm_granite`)
- `[2026-06-05]` **Langfuse has NO public dashboard-creation API** — dashboards/widgets are postgres
rows (`dashboards`/`dashboard_widgets`); build by cloning a default-dashboard row + swapping the
measure. tok/s is NOT a per-generation field (null on the observation) — it's the
`outputTokensPerSecond` MEASURE, computed at metrics-API/dashboard query time; no native per-call
tok/s display exists (streaming doesn't change that). langfuse-web needs `HOSTNAME=0.0.0.0` (Next.js
standalone binds one net-IP otherwise, unreachable via the published port once also on tnet). Host
3000 is gitea's → langfuse on 3001.
- `[2026-06-05]` **`sudo` over non-interactive ssh FAILS SILENTLY where the user lacks NOPASSWD** (esh +
corviduo are OUTSIDE the infra-ops identity) → empty output misread as "empty file." Read
world-readable files WITHOUT sudo. corviduo ssh = `vh@10.250.50.152`; bind-mount configs are
vh-owned (editable), the `.env` is deploy-owned 600 (vh can't edit it, no sudo).
- `[2026-06-05]` **Worldtree summarizer-model is NOT an env var** — no `WORLDTREE_SUMMARIZER_MODEL` on
the containers; it defaults to claude-haiku in code, opt-in via config not `.env`. Don't trust an
".env-flip" recipe — inspect the live container env + the vh-owned config files first. (Inspection
corrected a wrong "summarizer erroring on phi4" premise → saved churning 3 live instances.)
- `[2026-06-04]` **Ollama/llama.cpp-BUNDLED chat templates silently diverge from canonical HF —
the "headgun" lesson.** Ollama's phi4 template drops the system `<|end|>`; serving vLLM with the
model's HF tokenizer template (canonical, has it) regressed brokkr's Ollama-measured R15 baseline
-33pp type-F1 while valid_format held 1.0. An Ollama-matching `--chat-template` "fixed" it but was
the WRONG fix (the bundled scaffold is the divergent one). PRINCIPLE: serve each model's canonical
`tokenizer.apply_chat_template`, not the bundled template — bundled ones corrupt baselines. Verify
the applied prompt via vLLM `/tokenize`→`/detokenize`. (`90e08f0`/`27eb537`)
- `[2026-06-04]` **GPU pin by INDEX is ambiguous on irv-ml1** — native CUDA orders fastest-first
(A6000=0) but nvidia-smi/docker use PCI order (A6000=1), so an index pin can land on the wrong
card. Pin by **UUID** (`CUDA_VISIBLE_DEVICES=GPU-…`); verify via nvidia-smi compute-apps. Check
loaded-model VRAM with `ollama ps` (Ministral-3 @ its 256K default ctx = ~30 GB; cap num_ctx).
- `[2026-06-04]` **Persistent services on irv-ml1 need SYSTEM systemd units** — the box reaps
user-session processes on ssh disconnect, and `--user` systemd isn't reachable over non-login
ssh, so nohup/setsid/`screen -dmS`/`systemd-run --user` all die (even with `enable-linger`). Use
`/etc/systemd/system/`.
- `[2026-06-04]` **pyworld needs `setuptools<81`** (imports the removed `pkg_resources`); and
**R/soundgen `-lgfortran` fails** on irv-ml1 because the default `gcc` is gcc-11 but only
gfortran-12 is present (libgfortran.so lives only in the gcc-12 dir) → install `libgfortran-11-dev`.
- `[2026-06-04]` **homepage "crash" ≠ always NFS** — a wedged container in unkillable D-state
("tried to kill container, but did not receive an exit event") can come from dead `siteMonitor`
widget targets (retired ESH firewall IPs) hanging the node event loop into `exit_mmap`, needing a
host reboot. Check homepage's siteMonitors against retired hosts. (`incident_esh_docker_nfs_boot_race`)
- `[2026-06-03]` **gitea webhook to a private IP is denied by `webhook.ALLOWED_HOST_LIST`**
(anti-SSRF; default `external` blocks private/loopback). Symptom: delivery shows
`dial tcp ...: webhook can only call allowed HTTP servers`. Fix = APPEND the target net to
ALLOWED_HOST_LIST in gitea's app.ini (keep `external`; scope tight, never `*`/`private`) +
restart gitea (act_runner job containers survive a restart). gitea runs as a container on
ana-docker (`gitea_gitea_data` volume, `/data/gitea/conf/app.ini`).
- `[2026-06-03]` **torch-2.12 venvs need `uv pip install torchcodec`** — torchaudio 2.12
defaults to the TorchCodec backend for `.load`; without it, real audio I/O throws "TorchCodec
is required" — and it ONLY surfaces at actual conversion, NOT at import/model-load. Lesson:
validate real I/O, not just import, when provisioning ML engine envs. (seed-vc on torch 2.4
uses the legacy backend, exempt.)
- `[2026-06-03]` **Backgrounding `althing-cli monitor` with an inline shell `&` (instead of
the Bash-tool `run_in_background`) orphans it** — it survives the shell exit, holds the
per-handle flock UNTRACKED (won't notify the session), and `stop-monitor` doesn't detect it.
Fix: find + kill the orphan PID (verify cwd=this repo / handle first — nh3-dev is shared, other
agents' monitors run there too), then re-arm via run_in_background. Always re-arm tracked.
- `[2026-06-03]` **`uv pip install .` fails on SmoothKen/knn-svc** (and similar script-repos)
— it's analysis scripts + a poetry pyproject, no buildable package (setuptools
package-discovery error). Install the pyproject deps directly, don't build the "package".
- `[2026-06-02]` **Fish (fish-s2 / OpenAudio S1-mini) progressive streaming — SHELVED (sub-realtime).** Benched RTF on A6000: 0.72x (12w) / 0.82x (30w) / 0.86x (60w), **mean 0.80x = sub-realtime**, so client-side chunking would starve (same reason chatterbox-fast needs turbo's RTF>1). Root cause of the buffering (dvalin-smithy-dev deep research, verified in our code text2semantic/inference.py L600-607): Fish only chunks on `<|speaker:X|>` tags; **plain text -> batches=[whole text]** -> all semantic tokens generate before any audio (chunk_length inert). Plus a 2nd layer: kui/ASGI StreamResponse doesn't flush (header produced t=1s, delivered t=23s) -> fix = anti-buffering headers (X-Accel-Buffering:no / Transfer-Encoding:chunked) in tools/server/views.py (kept on file, not applied). A rebuild does NOT fix this (current main same logic). **STANDING REVISIT TRIGGER: when an RTX Blackwell Pro lands in the fleet -> bench fp4-quantized Fish; if RTF > ~1.5x, give it the chatterbox-fast treatment** (client-side adaptive buffer-ratchet chunker driving /v1/tts with small text pieces). Projection: fp4 (~1/4 weight bytes, memory-bound AR decode) + Blackwell (GDDR7 ~1.8TB/s vs A6000 0.77TB/s, native FP4 cores) ~ 2-3x RTF; validate fp4 voice quality (ear/ECAPA) before committing. For now Fish stays a buffered catalog entry (great for SAVED gens, not the live-audition lane).
- `[2026-06-02]` **Context-priming at chunk joins (chatterbox-fast §1.6) —
ABANDONED (discard-cut leaks the prefix).** To give a chunk backward prosodic
context, prepend the prior sentence, generate `prefix+content` together, then
discard the prefix audio. Built + opt-in shipped (commit d707439), live-A/B'd,
reverted (090e70a). The kill: `generate()` returns one finished waveform with
NO marker for where the prefix ends, and the model renders the same prefix with
different timing solo vs followed-by-content — so locating the cut (generate
prefix solo → measure duration → snap to nearest energy-min pause within ±0.4s)
is a guess that left a whole clause of prefix in the output ("...without a trace
of sarcasm," spoken twice; operator caught it). A reliable cut needs token-level
boundaries (= the abandoned native-streaming arc) or per-chunk ASR/forced-
alignment (heavy, imperfect, eats the latency budget). → Coherence loss at joins
stays an ACCEPTED limitation; cold adaptive-chunk streaming judged "really good".
Scheduler-side work that DID land + survive: affordability-gated priming math
(a 2nd pass can't starve the buffer) — sound, but moot without a working cut.
- `[2026-06-02]` **Native frame-level streaming on Chatterbox-TURBO — ABANDONED
(turbo isn't built for streaming).** Long R&D arc; record so it's not
re-derived. (1) The model's flow is CosyVoice2-derived but `S3GenStreamer` is
referenced-in-docstring-only (not implemented). (2) The lib's
`flow_inference(finalize=False)` is BUGGY: the lookahead trim removes
`pre_lookahead_len(3)*token_mel_ratio(2)=6` frames from `h` but NOT from
`h_masks`/conds → decoder shape mismatch (e.g. 656 vs 662). A 1-line patch
(`h_masks = h_masks[:, :, :-pre*ratio]` after the `h` trim) + sizing the
meanflow noise to the trimmed length makes finalize=False RUN. (3) BUT the
flow encoder uses FULL-context attention (`static_chunk_size=0`), so
incremental/cumulative decode is **prefix-unstable** — adding tokens
re-attends and shifts earlier mel (maxdiff ~0.30-0.39 vs one-shot,
irrespective of fixed-noise slicing or emit-margin). (4) Forcing
`static_chunk_size>0` on the 2 modules that carry the attr did NOT stabilize
it (decoding_chunk_size is a forward-arg, not settable via attribute). Verdict:
true sub-second frame-streaming on turbo needs deep model-attention surgery
with quality risk — not worth it. Matches research ("turbo+streaming
unsolved"; vLLM-turbo outputs noise; davidbrowne17 streaming fork is
BASE-only). → Use adaptive-chunking instead.
_41 older entries archived to archival-memory.md._