char-rp -> TheDrummer Magidonia-24B-v4.3 Q6_K (Magistral prose, ~65 tok/s,
zero refusal, tight POV) via llama.cpp (:8016).
char-rp-reasoning -> ArliAI QwQ-32B-RpR-v4 Q5_K_M (abliterated managed reasoning,
~52 tok/s, reasoning surfaces in reasoning_content) via llama.cpp (:8018).
- New canonical stack stacks/char-rp-gguf/ (llama-server x2, GPU0-pinned, ~86/97G
co-resident with gen). GGUF sidesteps the vLLM-NVFP4 + Mistral-tokenizer traps that
killed the Angel serve. Never Ollama.
- Best-of-breed per seat: no single dense 24-32B is both an elite non-thinking prose
seat AND a clean managed-reasoning seat on llama.cpp (Magidonia [THINK] boundary is
loose; Cydonia-R1 <think> runs away; QwQ is template-managed). Pantheon-Reasoning-27B
stays rejected (re-censors in <think>; RpR-v4 abliterated reasoning is the fix).
- Gateway rewired: char-rp->:8016, char-rp-reasoning->:8018, Mistral/QwQ samplers,
dropped the Qwen enable_thinking kwarg. One-model Magidonia fallback documented.
- Retired the ms32-24b-angel stack.
- gen := AEON dual NVFP4 serves (vLLM 0.24 + LiteLLM v1.91.0); reasoning-trace bug
was the LiteLLM shared-config mutation, fixed durably via distinct -thinking served-names.
- Worldtree personal character/thoughtful-character repointed to char-rp/char-rp-reasoning.
- LitBench-RM torn down, comfyui restored on irv-ml1.
R30 b15-b17 removed mood.decay_rate/mood.stale_hours from canonical (OCEAN
wall-clock OU replaced per-turn decay); deployed /opt/worldtree*/config
bind-mounts still carry them, harmless (CharacterSchema.mood is dict[str,Any]).
Tracked as an opportunistic edit-only/no-restart cleanup to restore byte-identity;
noted new optional mood.tau_base (unset->derived). Config-delta acked to worldtree-dev.
Records Vuong's 2026-07-02 call closing the granite-efficacy thread: no
intermediate real-efficacy granite spike (uninterpretable proxy — arch
gap + abliteration axis), efficacy validated on the real T1 run. Notes
the LitBench-less data/judge WIRING check as the correct pre-T1 de-risk
IF one is ever wanted, and that infra's remaining owed item is the queued
swappable-LoRA-on-NVFP4 load test (gated on the first T1 adapter).
The granite-8b harness spike proved the TRL SFT->DPO->eval seam (incl. the
in-loop HoldoutEvaluator base-vs-adapter leg) runs end-to-end, but used a
12-row/12-pair synthetic writing fixture — NOT the E-RP corpus — so the
~0 anti-slop delta (-0.002) is the expected null, not an efficacy signal.
Adapter reaped; nothing to A/B. Real behaviour-shift efficacy is a T1-run
question. Sharpen both the T1 in-flight bullet and the Recent-decisions
entry so 'green' no longer reads as efficacy-validated.
9 Recent decisions + 6 Tried-and-abandoned (dates [2026-06-14]/[2026-06-15]) moved
non-destructively to archival-memory.md, each stamped _Archived 2026-06-19._. Kept
the active [2026-06-14] 'migrate ALL infra access to Claude-specific credentials'
standing directive. Back-ref counts: Recent decisions 79->88, Tried-and-abandoned
70->76. persistent-memory.md 397->363 lines.
Proven 2026-06-16 diagnosing arbo run #5/task 1175: the RUN-level
/runs/{id}/logs 404s, but the per-JOB endpoint
GET /api/v1/repos/{o}/{r}/actions/jobs/{job_id}/logs returns the full
plain-text log (claude-bot basic-auth, internal :3000) — no UI needed.
Also noted gitea's misleading per-step conclusions (every step shows
failure once any fails; trust the log + timestamps).
Build the streaming TTS server MVP per docs/design/chatterbox-fast-plan.md §4.
- scheduler.py: adaptive buffer-ratchet chunker (the meat) — GPU-free pure
logic. First sentence emitted alone for low TTFA, then chunks ratchet ~3x by
packing whole sentences to margin x buffered-audio; drives off measured RTF +
sec/char (EMA). relieve_leader() clause-splits a too-big mid-stream sentence
to avoid starvation (joins land on commas); a long comma-less sentence is the
one honored-but-flagged limitation.
- test_scheduler.py: GPU-free simulation, 13 tests — asserts no-starvation
(incl. overestimated RTF) and the ratchet.
- app.py: FastAPI model holder + POST /tts StreamingResponse (raw PCM s16le
default, wav optional, stream/oneshot) + GET /health.
- bench.py: client — ground-truth TTFB + real 1x-consumer starvation check.
Live test on irv-ml1 (turbo, A6000, GLaDOS voice): streaming TTFB 499ms vs
oneshot 5230ms (~10x), stayed ahead of a 1x player (no starvation), ratchet
1.64->4.08->8.60->8.60s audio, measured RTF self-corrected 3.38->4.01.
Kill the superseded docs/design/chatterbox-fast.md — its §5 windowed-token
streaming was the abandoned native-frame-streaming arc; the adaptive-chunk plan
supersedes it. Repoint persistent-memory + README at the canonical plan.
reference_id=<name> resolves against the DIRECTORY references/<name>/
(audio + same-basename .lab), not a flat references/<name>.wav. Voices
were staged flat with the per-name dirs left empty, so every
reference_id resolved to nothing and Fish fell back to its default
speaker — every dropdown voice produced byte-identical audio (proven:
Abigail == Imogen == no-ref, same text+seed). This was the real "no
accent" root cause, independent of the asset-engine "undefined" select
bug.
Server fix (applied to irv-ml1): populated references/<name>/<name>.wav
+ <name>.lab for all 32 voices; re-test confirms Imogen/Eleanor/
Beatrice/Abigail/no-ref now all distinct.
Durable hardening + record correction:
- playbook: normalize-layout step (flat <name>.wav -> nested dir, cp -u
idempotent, when-gated on count mismatch) + an A/B verify gate that
hard-fails the deploy if two reference_ids yield identical output.
- services.yaml: correct the reference_id resolution doc (dir + .lab,
not flat wav).
- README + persistent-memory: correct the "reference_id-by-name is THE
working path, verified" claim — it was a no-op until this fix; the
prior ECAPA 0.79 result came through the inline base64 path.
vh