feat(intern-decision): decision seat back on h2o-lightning-4b under the re-fitted judge

Prime ruled the cutover ("do it", 16:40, via albok-dev) after the judge's
note question was re-fitted (albok-nemi 0.1.18). switch-to-h2o.sh ran 17:02:23,
the GPU 1 gate passed, h2o healthy 17:04:54. Checks on :8033: /health at the
pin, /decide/shared 200, 422 over the cap, inline image answers, image URL
refused by the shim, vLLM media-domain backstop refuses (400). compose.yaml is
h2o again; rollback-to-inc.sh stays the one-step way back.
This commit is contained in:
vh
2026-10-12 17:05:59 -07:00
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@@ -1,21 +1,22 @@
# intern-decision — the decision seat (fv-ml1 GPU 1, :8033)
> **LIVE: Intern-Decision-4B again, since 2026-10-12 1403 PT** (`compose.yaml`, image `intern-decision-serve:0.1.3`).
> Everything from **"The live seat: Intern-Decision-4B"** down describes it.
> **LIVE: h2o-lightning-4b since 2026-10-12 1704 PT** (Prime 1640, via albok-dev). `compose.yaml` = `compose.h2o.yaml`
> (`switch-to-h2o.sh` copies one over the other). Nemi's judge runs the **re-fitted v2 note question**
> (albok-nemi 0.1.18, contract 4.4 rev 1.15) at concurrency 4.
>
> **h2o-lightning-4b is STAGED, not live** (`compose.h2o.yaml`, `switch-to-h2o.sh`). It served 1311–1403 on 2026-10-12
> and was rolled back on albok-dev's word, with brokkr concurring. Prime's plan had made the swap conditional on the
> judge's sign-off, and albok-dev withdrew it on fleet-scale evidence:
> - **adult:** over 10,841 texts judged by both models (same text, prompt and policy), h2o flagged 242 at 0.5 against
> INC's 88. That is all 88 of INC's plus 154 more, most of them at 0.80–0.90 where INC put them at 0.30–0.47. No
> threshold reproduces INC's set (0.70 still flags 166 and loses 6 of INC's).
> - **personal:** INC flagged 5 and h2o 11, with only 2 in common.
> **What happened on 2026-10-12:**
> 1. **1311–1403, h2o's first stint, rolled back.** Under the judge's v1 question, h2o flagged 242 texts adult
> against INC's 88, over 10,841 identical texts.
> 2. **1428–1619, the investigation on GPU 3.** The v1 question asked two things at once: INC answered it
> inconsistently and h2o answered it as written. The shim's floor was ruled out, with identical verdicts on and
> off. Prime ruled "text itself".
> 3. **Under v2 the two seats agree:** work notes INC 0/22, h2o 1/22 at 0.52; nulls 0/18 on both. fleet/memory adult
> went 86 → 0 on INC.
> 4. **Rollback:** `rollback-to-inc.sh`, and set the judge's concurrency back to 1 (see "Switching").
>
> h2o comes back only after albok re-fits the judge for it (prompt and threshold against a labelled set large
> enough to resolve a 2× change, as a 4.4 contract revision, on an eval seat). The h2o sections below describe the
> staged seat, and its numbers are the 1311 cutover's.
> The section headed "The live seat: Intern-Decision-4B" further down describes INC, the rollback target.
### The staged h2o seat (`compose.h2o.yaml`)
### The h2o seat (`compose.h2o.yaml`, live since 1704)
| | |
|---|---|
@@ -97,6 +98,10 @@ Repeat that check on this seat's loopback port (`:18299`) on the next switch. IN
### Switching between the two
The 1704 switch: `switch-to-h2o.sh` ran from 170223 (rc 0) and h2o was healthy at 170454. The 1705 checks: `/health` at the
pin, with floor 0.801; `/decide/shared` 200; a 422 over the cap; inline red → red at 0.984; an https image URL refused
by the shim; the vLLM backstop refusing example.com (400); GPU 1 resting at 14,430 MiB.
Both run ON fv-ml1 and share one `.env`.
- **To h2o:** `sudo bash /opt/docker/compose/intern-decision/switch-to-h2o.sh`. It stops INC and checks that GPU 1 has
16,900 MiB free (h2o's measured budget). If not, it restarts INC and exits 2. Otherwise it copies
@@ -106,7 +111,7 @@ Both run ON fv-ml1 and share one `.env`.
over `compose.yaml` and waits up to 180 s. Image `intern-decision-serve:0.1.3` and its
`intern-decision_triton-cache` volume survive the `down`. Used 2026-10-12, 140328 → healthy 140356.
After either switch, make `stacks/intern-decision/compose.yaml` match the host again (it is INC today).
After either switch, make `stacks/intern-decision/compose.yaml` match the host again (it is h2o since 1704).
⚠ **Tell albok-dev on either switch: Nemi's judge concurrency depends on the seat.** INC scores on one inference
thread (INV-2, ~16 calls/s at most), so the judge runs with concurrency 1 against it (albok's `nemi.yaml`, since
@@ -115,7 +120,7 @@ h2o, vLLM batches, so it goes back to 4.
---
# The live seat: Intern-Decision-4B (2026-09-30 → 2026-10-12 1308, and again since 1403)
# The live seat: Intern-Decision-4B (2026-09-30 → 2026-10-12 1308, and 1403–1702; now the rollback target)
> **LIVE from 2026-09-30 0941 PT to 2026-10-12 1308 PT, and again since 2026-10-12 1403 PT** on fv-ml1 GPU 1, with cap 9.0 GiB and `MAX_TOKENS` 7,168.
> Acceptance on the live service is below. `semif` is stopped and kept as the rollback.
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# intern-decision: Intern-Decision-4B (internlm, Apache-2.0) behind intern-decision-serve, on
# fv-ml1 GPU 1 (the utility card, beside vllm-coder and the erp/meromero seats; scriberr moved to
# GPU 3 on 2026-09-30 1322, Prime, to free this card's headroom for 32k-token calls).
# Replaces semif (Prime, 2026-09-30: "replace semif with intern-decision now").
#
# One forward pass per call, scored by the checkpoint's OWN inference.py (sha256-pinned); the
# service keeps semif-serve's HTTP surface (/decide, /decide/shared, /health). Service code +
# contract: services/intern-decision-serve/ (intern-decision-serve.contract.md). Image built on
# fv-ml1 from that dir.
#
# ⚠ VRAM_CAP_GIB is a HARD cap on torch's allocator (per-process memory fraction), set so the
# container's WHOLE nvidia-smi footprint, CUDA context included, fits GPU 1's free memory beside
# the static vLLM seats (infra-ops budget, 2026-09-30); MAX_TOKENS keeps every accepted call under the cap. A request that needs more
# gets 503 out_of_memory and the service stays up. See the README before changing it.
#
# .env (tunables): IMAGE, PORT, GPU_ID, VRAM_CAP_GIB, MAX_TOKENS, HOST_IP, INTERN_DECISION_API_TOKEN
# (vault intern-decision/api-token, >= 32 chars).
# STAGED, NOT LIVE (since the 2026-10-12 1403 rollback): the h2o-lightning-4b decision seat, which switch-to-h2o.sh
# copies over compose.yaml. It served 1311-1403 on 2026-10-12 (Prime via brokkr) and was rolled back when Nemi's judge
# flagged 242 texts adult against INC's 88 at fleet scale. Address intern-decision.fv.internal:8033 (brokkr rule 8).
# h2o-lightning-4b @ b43f759b. Stock vLLM 0.30.0 + the vendor's UNMODIFIED shim + services/h2o-decision-front (copied to
# conf/front): 32,000-token REFUSE-not-trim admission, the seat's bearer token (the same INTERN_DECISION_API_TOKEN),
# /decide + /decide/shared translated onto /v1/systemone, /health model {name, revision}.
# Rollback to Intern-Decision-4B: compose.inc.yaml (the previous compose, same .env): see the stack README.
# GPU 1 is shared (meromero-rp, gen-small): KV is pinned in BYTES (4.48 GiB = 135,070 tokens, the benched size);
# util only gates the boot check. Gate on scripts/oneoff/fv-ml1-gpucheck.sh before any (re)create.
# Images: INLINE ONLY (Prime 2026-10-12). LIGHTNING_IMAGE_URLS=off makes the shim refuse every image URL; vLLM's
# --allowed-media-domains media.invalid (a reserved name that never resolves) is the backstop if the shim ever changes.
name: intern-decision
services:
intern-decision:
image: ${IMAGE:?set IMAGE}
container_name: intern-decision
vllm:
image: vllm/vllm-openai:v0.30.0
container_name: intern-decision-vllm
restart: unless-stopped
ports:
- "${PORT:-8033}:8000"
- "127.0.0.1:18299:8000"
environment:
INTERN_DECISION_API_TOKEN: ${INTERN_DECISION_API_TOKEN:?set INTERN_DECISION_API_TOKEN}
INTERN_DECISION_DEVICE: cuda
INTERN_DECISION_VRAM_CAP_GIB: ${VRAM_CAP_GIB:?set VRAM_CAP_GIB}
# Coupled to VRAM_CAP_GIB: the largest call measured to fit under the cap (README "VRAM").
INTERN_DECISION_MAX_TOKENS: ${MAX_TOKENS:?set MAX_TOKENS}
INTERN_DECISION_MAX_DECISIONS: ${MAX_DECISIONS:-64}
# POSTs in progress (queued + scoring) before new ones get 429 busy.
INTERN_DECISION_MAX_QUEUE: ${MAX_QUEUE:-32}
VLLM_USE_FLASHINFER_SAMPLER: "0"
volumes:
# Pinned weights AND the checkpoint's inference.py, read offline. Never downloads.
- /tank/aimodels/huggingface:/hf:ro
# Triton/fla autotune cache (README "Cold-shape latency"): the ~6.5 s first-call-per-bucket
# autotune results survive RECREATES (deploys, image upgrades, .env edits), not just restarts.
# The mount point exists in the image owned by 10001, so the fresh volume is intern-writable.
- triton-cache:/tmp/triton-cache
- /tank/aimodels/h2o-lightning-4b-b43f759b:/model:ro
- vllm-cache:/root/.cache/vllm
command: ["--model", "/model", "--served-model-name", "h2oai/h2o-lightning-4b",
"--max-model-len", "40960", "--max-num-seqs", "16",
"--gpu-memory-utilization", "0.1506", "--kv-cache-memory", "4810363371",
"--limit-mm-per-prompt", "{\"image\": 4, \"video\": 0}",
"--mm-processor-kwargs", "{\"max_pixels\": 1605632}",
"--allowed-media-domains", "media.invalid"]
deploy:
resources:
reservations:
@@ -48,27 +35,41 @@ services:
- driver: nvidia
device_ids: ["${GPU_ID:-1}"]
capabilities: [gpu]
front:
image: python:3.12-slim
container_name: intern-decision
restart: unless-stopped
network_mode: host
depends_on: [vllm]
environment:
FRONT_TOKEN: ${INTERN_DECISION_API_TOKEN:?set INTERN_DECISION_API_TOKEN}
SHIM_VLLM: http://127.0.0.1:18299
SHIM_PORT: "18291"
SHIM_NOUL_FLOOR: "0.801"
LIGHTNING_IMAGE_URLS: "off" # Prime 2026-10-12: inline images only, the seat never fetches an image URL
FRONT_SHIM: http://127.0.0.1:18291
FRONT_VLLM: http://127.0.0.1:18299
FRONT_BIND: 0.0.0.0
FRONT_PORT: ${PORT:-8033}
FRONT_CAP: "32000"
FRONT_SHIM_FILE: /model/h2o_lightning_shim.py
FRONT_SERVE_CONFIG: /model/serve_config.json
FRONT_MODEL_REVISION: b43f759b6385d21182f87c3829931ec3d4dfa98a
volumes:
- /tank/aimodels/h2o-lightning-4b-b43f759b:/model:ro
- /opt/docker/conf/intern-decision/front:/front:ro
command: ["bash", "/front/run.sh"]
healthcheck:
test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=5)"]
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8033/health', timeout=5)"]
interval: 30s
timeout: 10s
retries: 3
# Startup loads ~9 GB of weights and scores the warm-up three times before it serves.
start_period: 300s
networks:
- tnet
labels:
- homepage.group=AI - Eval & Retrieval
- homepage.name=Intern-Decision — typed decisions
- homepage.name=Decision seat (h2o-lightning-4b)
- homepage.icon=mdi-scale-balance
- homepage.description=Typed decisions from one forward pass (Intern-Decision-4B, fv-ml1 GPU1)
- homepage.description=Typed decisions, 32k refusing (h2o-lightning-4b on vLLM, fv-ml1 GPU1; /decide/shared kept)
- homepage.href=http://${HOST_IP:-10.251.50.54}:${PORT:-8033}/health
networks:
tnet:
name: traefik-net
external: true
volumes:
# -> intern-decision_triton-cache on the host
triton-cache:
vllm-cache: