chore: stop tracking .AGENTTRASH — the purger deletes tracked files, dirtying every host

The deletion policy moves in-repo deletions into .AGENTTRASH/ beside the item,
and .gitignore line 25 already declares it ignored. But 37 retired payloads were
committed before that rule existed, and gitignore never applies to tracked paths.
Consequence measured 2026-10-31: Dankserver's deploy checkout reported 37 tracked
deletions — exactly every tracked trash file — because the approved purger had
done its job. Any host that purges is permanently dirty, and a future pull that
touches one of those paths aborts mid-deploy with 'local changes would be
overwritten' while the tree is in fact clean of real edits.

Untrack the four dirs; the bytes stay on disk and in history (they always were
recoverable from git, which is what the trash policy's 'temporary hold, not an
archive' means). tests/deployment_scoping.bats asserts the staged chat template
exists on disk — it still does, so the seam is untouched.

.AGENTTRASH/frank-default-small.env.llama.cpp

@@ -1,71 +0,0 @@
-# Tunables for frank-default-small (Tiel-Coder-35B-A3B UD-Q6_K_XL,
-# qwen35moe hybrid MoE, Dankserver, RTX 3090).
-#
-# Runtime: upstream llama.cpp (latest master, CUDA build with
-# -DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES=86) on RTX 3090
-# 24 GB; Ryzen 7 7700X; 62 GB RAM.  Replaced the ik_llama.cpp Ornith
-# CRACK Q8_0 deployment on 2026-09-01.
-#
-# Model: peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF, UD-Q6_K_XL quant
-# (30 GB).  Architecture: qwen35moe — 40 layers, full_attention_interval=4
-# (10 attention + 30 SSM/Mamba), 256 experts / 8 used, 2 KV heads × 256
-# dim, embedding 2048, rope dimension_count 64, rope freq_base 10 000 000.
-# Text-only (no mmproj).  Built-in chat template in the GGUF.
-#
-# Expert offload: --cpu-moe keeps all 256 expert weights in CPU RAM.
-# Non-expert weights (~1.6 GB) fit entirely on the 24 GB card.
-#
-# KV cache: Q8_0 for both K and V.  With CTX_SIZE=200700 (66 900 per slot
-# × 3 parallel) and 10 attention layers, the KV cache is ~2 GB — the
-# requested 2 GB VRAM buffer.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The
-# ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
-# incident). This box is NVIDIA/CUDA, but the rule keeps the env portable.
-
-# Model file (UD-Q6_K_XL, 30 GB, text-only MoE hybrid).
-MODEL_DIR=/home/dank/models/tiel-coder-35b
-MODEL_FILE=Tiel-Coder-35B-A3B-UD-Q6_K_XL.gguf
-
-# Upstream llama.cpp llama-server (CUDA build, latest master).
-# Built with -DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES=86
-# using the staged CUDA 13.2 toolkit at /home/dank/cuda13-stage.
-LLAMA_SERVER=/home/dank/llama.cpp/build/bin/llama-server
-
-ALIAS=frank-default-small
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-
-# Total context budget across all parallel slots.  200700 / 3 = 66 900
-# per slot.  The model's context_length is 262 144, so 66 900 is well
-# within range.
-CTX_SIZE=200700
-PARALLEL=3
-
-# Expert offload: all MoE expert weights pinned to CPU RAM.
-CPU_MOE=1
-
-# All non-expert layers on GPU (auto-fit will determine the exact count;
-# with --cpu-moe the non-expert footprint is ~1.6 GB, leaving ample room).
-N_GPU_LAYERS=999
-
-# KV cache: Q8_0 for both K and V.  ~2 GB total for 200700 ctx × 3 slots
-# × 10 attention layers × (2 KV heads × 256 dim × 1 byte) × 2 (K+V).
-CACHE_TYPE_K=q8_0
-CACHE_TYPE_V=q8_0
-
-VERBOSITY=2
-
-# Prefill batch sizing.
-BATCH_SIZE=4096
-UBATCH_SIZE=1024
-
-# Sampling.
-TEMPERATURE=1.0
-TOP_K=20
-TOP_P=0.95
-MIN_P=0.0
-
-# Compute threads lowered so other processes keep a core.
-THREADS=7
-THREADS_HTTP=8

.AGENTTRASH/frank-default-small.service.llama.cpp

@@ -1,16 +0,0 @@
-[Unit]
-Description=llama.cpp Tiel-Coder-35B-A3B Q6_K_XL qwen35moe hybrid MoE (dankserver, frank-default-small)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FRANK_SMALL_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-default-small.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-small.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

.AGENTTRASH/frank-dragoon.env.llama.cpp

@@ -1,126 +0,0 @@
-# Tunables for frank-dragoon (kingjones777/Qwen3.8-Flash-Next-ROCmFP4-
-# STRIX-GGUF on the kingjones30/ROCmFPX llama.cpp runtime, Dankclaw,
-# Strix Halo gfx1151, unified memory).
-#
-# Runtime: kingjones30/ROCmFPX (fork of charlie12345/ROCmFPX with the
-# qwen4exp-on-rocmfpx-d3ca537 patch applied — the model card's pinned
-# runtime: ROCmFP4 tensor types AND the qwen4exp architecture in one
-# tree; stock llama.cpp and charlie's fork alone cannot load this GGUF).
-# Built per the card recipe:
-#   cmake -B build -DGGML_HIP=ON -DGPU_TARGETS=gfx1151 -DGGML_NATIVE=ON -DCMAKE_BUILD_TYPE=Release
-# at /home/dank/GitPackages/kingjones-ROCmFPX/build.
-# Replaced the agentionai ROCmFP4-FAST imatrix deployment (charlie's
-# build-qwen38 runtime) on 2026-08-30.
-#
-# Model: Qwen3.8-Flash-Next base (qwen4exp MoE: 512 experts / 10 used,
-# 48 layers = 12 attention + 36 SSM, QSA indexer, hyper-connections, PLE
-# at layer 1), Q4_0_ROCMFP4_STRIX (file_type 105), 113.47 GiB single
-# file. STRIX is the top quality tier: PLE table at Q8_0 (50.66 GiB),
-# token embeddings + lm head at Q6_K. The PLE table NEVER enters GPU
-# memory — it streams from the file through the OS page cache. Two hard
-# card constraints:
-#  1. mmap MUST stay enabled (default) — --no-mmap forces the 50.66 GiB
-#     table into anonymous memory and the cgroup killer takes the
-#     process with nothing in the server log (only dmesg).
-#  2. Do NOT pin the PLE tensor to CPU with -ot — measured gen fell
-#     ~23 -> 13.4 tok/s; the kernel streams it better.
-# NOTE: the card's own build_attn_qsa still calls ggml_fill on the
-# F16-cast kq mask (the path that aborted our charlie build with
-# --flash-attn on before scripts/patches/qwen4exp-qsa-f32-mask.patch).
-# If a clean kingjones-tree build aborts graph build with
-# GGML_ASSERT(a-type == GGML_TYPE_F32), port that fix (F32 base mask +
-# cast at the attention call) into this tree and rebuild.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
-# incident). llama.cpp reads --host/--port/--temp as CLI flags, never as
-# env vars.
-
-# kingjones30/ROCmFPX runtime binary (card recipe build).
-LLAMA_BIN=/home/dank/GitPackages/kingjones-ROCmFPX/build/bin/llama-server
-
-# Model package from
-# https://huggingface.co/kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF
-# Layout: single unsharded GGUF, text-only (the repo ships no mmproj;
-# the vision tower below is borrowed from the agentionai FAST package —
-# same base model, f16 — kept only if it loads clean, drop
-# MMPROJ_PATH if it does not).
-MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX
-MODEL_FILE=Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf
-MMPROJ_PATH=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/mmproj/mmproj-Qwen3.8-Flash-Next-f16.gguf
-
-# Qwen-Sharp chat template (tracked in the repo, staged on the host). The
-# Sharp template drives thinking on by default (medium effort); the server
-# emits reasoning in DeepSeek format so clients receive reasoning_content
-# separately instead of literal thinking tags in content.
-CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
-CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}'
-
-# Alias + network.
-ALIAS=frank-dragoon
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-
-# Serving: 401408-token context, TWO slots (parallel 2), batch 4096 /
-# ubatch 512, 16+16 threads, f16 KV, 16 context checkpoints, 8 GiB
-# prompt cache. --fit off: auto-fit segfaults on this model's
-# hyper-connection/indexer config; -ngl 999 puts every layer on the
-# SVM-backed GPU pool. ubatch 512 matches the card's re-measurement
-# (-ub 1024/2048/4096 showed no effect; -t 32 vs 16 is noise).
-#
-# CTX_SIZE=401408 / PARALLEL=2: carried over from the FAST deployment
-# where it loaded clean (~74 s, health 200). The card measures the full
-# 262144 window at ~71.7 GiB GTT at load on the same 128 GB board; QSA
-# caps KV growth so the extra window is cheap. KV footprint scales
-# with the 12 attention layers only. Verify load on first STRIX boot.
-CTX_SIZE=401408
-PARALLEL=2
-
-BATCH_SIZE=4096
-UBATCH_SIZE=512
-NUM_THREADS=16
-THREAD_BATCH=16
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-CTX_CHECKPOINTS=16
-CACHE_RAM=8192
-SLOT_SAVE_PATH=/home/dank/serverAppConfigs/scripts/slot-state
-SPLIT_MODE=none
-FIT=off
-NGL=999
-FLASH_ATTN=on
-
-# Sampling (card instruct table, non-thinking).
-TEMPERATURE=0.7
-TOP_K=20
-TOP_P=0.8
-MIN_P=0.0
-PRESENCE_PENALTY=1.5
-
-# Reasoning on (Sharp template drives it; preserve_thinking + preserve_reasoning
-# keep the reasoning trail in the conversation). DeepSeek format projects the
-# reasoning into the API's reasoning_content field instead of literal thinking
-# tags.
-REASONING=on
-REASONING_FORMAT=deepseek
-
-# Strix Halo unified memory + native gfx1151.
-HSA_OVERRIDE_GFX_VERSION=11.5.1
-
-VERBOSITY=4
-
-
-# Speculative decoding: disabled. The card's Usage block ships no spec
-# flags. The Flash-Next MTP heads do not load on this loader (requires
-# per-layer blk.N.hc_attn_norm; every head carries only blk.48 —
-# verified 3x on build-qwen38). DRAFT_MODEL_* point at the retired
-# agentionai FAST head and are unused while SPEC_TYPE=none.
-DRAFT_MODEL_DIR=/home/dank/models/mtp-Qwen3.8-Flash-Next-FAST
-DRAFT_MODEL_FILE=Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf
-SPEC_TYPE=none
-SPEC_DRAFT_N_MAX=3
-SPEC_DRAFT_N_MIN=0
-SPEC_DRAFT_P_MIN=0.75
-SPEC_DRAFT_NGL=999
-SPEC_DRAFT_DEVICE=ROCm0
-SPEC_DRAFT_TYPE_K=f16
-SPEC_DRAFT_TYPE_V=f16

.AGENTTRASH/frank-dragoon.service.llama.cpp

@@ -1,16 +0,0 @@
-[Unit]
-Description=ROCmFPX (kingjones30 fork) llama.cpp Qwen3.8-Flash-Next ROCmFP4 STRIX 177B MoE (dankclaw, frank-dragoon)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FRANK_DRAGOON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-dragoon.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

.AGENTTRASH/frank-npu.env.flm-npu

@@ -1,23 +0,0 @@
-# Tunables for frank-npu (FastFlowLM NPU endpoint, Dankclaw)
-# Runtime: FLM 1.0.1 (/usr/bin/flm) on the XDNA2 NPU (50 TOPS). Boot tag is
-# nuextract3:4b (NuExtract3-4B-NPU2, Qwen3.5-4B skeleton, structured-extraction
-# model); serve routes every request by the exact FLM registry tag in the
-# request's model field, so any registered tag (gemma4-it:e4b, qwythos:9b, ...)
-# is reachable on this port regardless of the boot tag. The NPU is a
-# single-lane device: generations serialize FIFO, and the first request after a
-# model swap pays the ~6-11 s load cost. The NPU draws from the unified RAM
-# pool shared with frank-dragoon (iGPU).
-FLM_MODEL=nuextract3:4b
-FLM_HOST=0.0.0.0
-FLM_PORT=7771
-# turbo = max NPU power mode (xrt-smi configure --pmode turbo at serve start).
-# No other tenant uses the NPU on this host, so the top mode costs nothing to
-# neighbours; drop to `performance` if iGPU power-budget contention ever shows.
-FLM_PMODE=turbo
-# FLM_ASR=1 additionally loads Whisper-V3-Turbo-NPU2 (+0.62 GB) and exposes
-# /v1/audio/transcriptions. NuExtract3 answers text-only; audio stays off.
-FLM_ASR=0
-# -1 = no --ctx-len flag: every pack loads with its own trained context
-# (nuextract3:4b -> 32768, gemma4-it:e4b -> 131072). A global override would
-# over-allocate KV for the small packs.
-FLM_CTX_LEN=-1

.AGENTTRASH/frank-npu.service.flm-npu

@@ -1,17 +0,0 @@
-[Unit]
-Description=FastFlowLM NPU sight+sound inference (frank-npu) on Dankclaw
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FRANK_NPU_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-npu.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-npu.sh
-LimitMEMLOCK=infinity
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

.AGENTTRASH/serve-frank-dragoon.sh.llama.cpp

@@ -1,180 +0,0 @@
-#!/usr/bin/env bash
-# Serve kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF as
-# frank-dragoon via the kingjones30/ROCmFPX llama.cpp runtime on
-# Dankclaw (Strix Halo gfx1151, unified memory).
-#
-# Runtime: kingjones30/ROCmFPX (fork of charlie12345/ROCmFPX with the
-# model card's qwen4exp-on-rocmfpx patch) built at
-# /home/dank/GitPackages/kingjones-ROCmFPX/build (HIP, gfx1151,
-# ROCm 7.2.4, card recipe). The ROCmFP4 quant types plus the qwen4exp
-# architecture must be in one tree; stock llama.cpp cannot load this
-# GGUF.
-#
-# Model: Qwen3.8-Flash-Next base (qwen4exp MoE: 512 experts / 10 used,
-# 48 layers = 12 attention + 36 SSM, QSA indexer, hyper-connections, PLE
-# at layer 1) quantized Q4_0_ROCMFP4_STRIX, 113.47 GiB single file. The
-# 50.66 GiB PLE n-gram table stays OUT of GPU memory and streams via
-# mmap from the OS page cache — never add --no-mmap or -ot for it.
-#
-# Profile: card sampling table (temp 0.7, top_p 0.80, top_k 20, min_p 0.0,
-# presence 1.5 — non-thinking instruct) mixed with the validated serving
-# profile: ctx 401408 x 2 slots, b 4096 / ub 512, t 16 / tb 16, f16 KV,
-# fa on (if the graph build aborts on the QSA F16 mask, see the note in
-# the env file: port scripts/patches/qwen4exp-qsa-f32-mask.patch into
-# this tree and rebuild), cont-batching, prompt cache + 8 GiB cache-ram
-# + idle-slot cache, 16 ctx checkpoints, --fit off (auto-fit segfaults
-# on qwen4exp hyper-connection config). Speculative decoding off: the
-# Flash-Next MTP heads do not load on this loader; the card ships no
-# spec flags.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/kingjones-ROCmFPX/build/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX}"
-: "${MODEL_FILE:=Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf}"
-: "${MMPROJ_PATH:=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/mmproj/mmproj-Qwen3.8-Flash-Next-f16.gguf}"
-: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
-: "${CHAT_TEMPLATE_KWARGS:={}}"
-: "${ALIAS:=frank-dragoon}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-: "${CTX_SIZE:=401408}"
-: "${PARALLEL:=2}"
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=512}"
-: "${NUM_THREADS:=16}"
-: "${THREAD_BATCH:=16}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${CTX_CHECKPOINTS:=16}"
-: "${CACHE_RAM:=8192}"
-: "${SLOT_SAVE_PATH:=$SCRIPT_DIR/slot-state}"
-: "${SPLIT_MODE:=none}"
-: "${FIT:=off}"
-: "${NGL:=999}"
-: "${FLASH_ATTN:=on}"
-: "${TEMPERATURE:=0.7}"
-: "${TOP_K:=20}"
-: "${TOP_P:=0.8}"
-: "${MIN_P:=0.0}"
-: "${PRESENCE_PENALTY:=1.5}"
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${HSA_OVERRIDE_GFX_VERSION:=11.5.1}"
-: "${SPEC_TYPE:=none}"
-: "${DRAFT_MODEL_DIR:=/home/dank/models/mtp-Qwen3.8-Flash-Next-FAST}"
-: "${DRAFT_MODEL_FILE:=Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf}"
-: "${SPEC_DRAFT_N_MAX:=3}"
-: "${SPEC_DRAFT_N_MIN:=0}"
-: "${SPEC_DRAFT_P_MIN:=0.75}"
-: "${SPEC_DRAFT_NGL:=999}"
-: "${SPEC_DRAFT_DEVICE:=ROCm0}"
-: "${SPEC_DRAFT_TYPE_K:=f16}"
-: "${SPEC_DRAFT_TYPE_V:=f16}"
-
-MODEL="$MODEL_DIR/$MODEL_FILE"
-for f in "$LLAMA_BIN" "$MODEL" "$CHAT_TEMPLATE_FILE"; do
-    if [[ ! -r "$f" ]]; then
-        echo "missing or unreadable required artifact: $f" >&2
-        exit 1
-    fi
-done
-if [[ ! -x "$LLAMA_BIN" ]]; then
-    echo "missing executable runtime: $LLAMA_BIN" >&2
-    exit 1
-fi
-
-# --- speculative decoding (MTP draft head) ---------------------------------
-# The MTP draft head is a separate GGUF sidecar loaded via --spec-draft-model
-# (alias --model-draft).  ngram-only specs do not need a draft file.
-# Set SPEC_TYPE=none in the env to disable speculative decoding entirely.
-SPEC_ARGS=()
-if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
-    SPEC_ARGS=(
-        --spec-type "$SPEC_TYPE"
-        --spec-draft-n-max "$SPEC_DRAFT_N_MAX"
-        --spec-draft-n-min "$SPEC_DRAFT_N_MIN"
-        --spec-draft-p-min "$SPEC_DRAFT_P_MIN"
-    )
-    if [[ "$SPEC_TYPE" == *draft-mtp* ]]; then
-        DRAFT_MODEL="$DRAFT_MODEL_DIR/$DRAFT_MODEL_FILE"
-        if [[ ! -r "$DRAFT_MODEL" ]]; then
-            echo "missing or unreadable draft model: $DRAFT_MODEL" >&2
-            exit 1
-        fi
-        SPEC_ARGS+=(
-            --spec-draft-model "$DRAFT_MODEL"
-            --spec-draft-ngl "$SPEC_DRAFT_NGL"
-            --spec-draft-device "$SPEC_DRAFT_DEVICE"
-            --spec-draft-type-k "$SPEC_DRAFT_TYPE_K"
-            --spec-draft-type-v "$SPEC_DRAFT_TYPE_V"
-        )
-    fi
-    if [[ -n "${SPEC_DRAFT_P_SPLIT:-}" ]]; then
-        SPEC_ARGS+=(--spec-draft-p-split "$SPEC_DRAFT_P_SPLIT")
-    fi
-fi
-
-# The STRIX repo ships no mmproj; this is the agentionai FAST package's
-# f16 vision tower for the same base model. Passed only when readable.
-MMPROJ_ARGS=()
-if [[ -n "${MMPROJ_PATH:-}" && -r "${MMPROJ_PATH:-}" ]]; then
-    MMPROJ_ARGS=(--mmproj "$MMPROJ_PATH")
-fi
-
-SERVER_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-mkdir -p "$SLOT_SAVE_PATH"
-ROCM_PATH="${ROCM_PATH:-/opt/rocm}"
-LIBRARY_PATH="$SERVER_DIR:$ROCM_PATH/lib:$ROCM_PATH/lib/rocm_sysdeps/lib:$ROCM_PATH/lib/llvm/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"
-
-exec /usr/bin/env \
-    ROCM_PATH="$ROCM_PATH" \
-    HIP_VISIBLE_DEVICES=0 \
-    LD_LIBRARY_PATH="$LIBRARY_PATH" \
-    HSA_OVERRIDE_GFX_VERSION="$HSA_OVERRIDE_GFX_VERSION" \
-    "$LLAMA_BIN" \
-    --model "$MODEL" \
-    --alias "$ALIAS" \
-    --chat-template-file "$CHAT_TEMPLATE_FILE" \
-    --chat-template-kwargs "$CHAT_TEMPLATE_KWARGS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --jinja \
-    --device ROCm0 \
-    --gpu-layers "$NGL" \
-    --split-mode "$SPLIT_MODE" \
-    --parallel "$PARALLEL" \
-    --ctx-size "$CTX_SIZE" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --fit "$FIT" \
-    --flash-attn "$FLASH_ATTN" \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --threads "$NUM_THREADS" \
-    --threads-batch "$THREAD_BATCH" \
-    --ctx-checkpoints "$CTX_CHECKPOINTS" \
-    --cache-ram "$CACHE_RAM" \
-    --slot-save-path "$SLOT_SAVE_PATH" \
-    --cache-prompt \
-    --cache-idle-slots \
-    --metrics \
-    --temp "$TEMPERATURE" \
-    --top-p "$TOP_P" \
-    --top-k "$TOP_K" \
-    --min-p "$MIN_P" \
-    --presence-penalty "$PRESENCE_PENALTY" \
-    --reasoning "$REASONING" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget -1 \
-    "${MMPROJ_ARGS[@]}" \
-    "${SPEC_ARGS[@]}"

.AGENTTRASH/serve-frank-npu.sh.flm-npu

@@ -1,62 +0,0 @@
-#!/usr/bin/env bash
-# Serve the FastFlowLM (FLM) sight+sound endpoint — frank-npu.
-#
-# Runs `flm serve <tag>` on the XDNA2 NPU (50 TOPS, Dankclaw). The NPU is a
-# single-lane device: generations serialize in FIFO order, so this is a
-# background/triage endpoint, not an interactive multi-user chat. The NPU
-# draws from the unified RAM pool shared with frank-dragoon (the iGPU
-# llama.cpp service); see serverAppConfigs-docs/LLM/frank-npu.md
-# for the memory budget and the model-selection tradeoff.
-#
-# NOTE: FLM requires unlimited memlock. The unit sets LimitMEMLOCK=infinity.
-# NOTE: an unknown model tag does NOT 404 — /v1/chat/completions answers HTTP 200 with a
-# flat {"error":"Failed to load <tag> model!"} body and no choices; /v1/completions returns a
-# nested OpenAI-shaped server_error (code 500) also under HTTP 200. Client model IDs must be the exact FLM registry
-# tag (e.g. gemma4-it:e4b), never a service alias. Custom tags only resolve
-# when FLM_CONFIG_PATH points at the user registry that carries them and their
-# kernels are symlinked into /home/dank/.config/flm/xclbins/<PackName>.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_NPU_ENV_FILE:-$SCRIPT_DIR/frank-npu.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -------------------
-: "${FLM_BIN:=/usr/bin/flm}"
-: "${FLM_MODEL:=gemma4-it:e4b}"
-: "${FLM_HOST:=0.0.0.0}"
-: "${FLM_PORT:=7771}"
-: "${FLM_PMODE:=turbo}"
-: "${FLM_ASR:=0}"
-: "${FLM_CTX_LEN:=131072}"
-
-# The user registry is a superset of the system registry (it carries the
-# custom tags too), and its model_path resolves relative to the registry file,
-# so exports keep a tag swap in the env file from needing script edits.
-export FLM_CONFIG_PATH="${FLM_CONFIG_PATH:-/home/dank/.config/flm/model_list.json}"
-export FLM_XCLBIN_PATH="${FLM_XCLBIN_PATH:-/home/dank/.config/flm/xclbins}"
-
-if [[ ! -x "$FLM_BIN" ]]; then
-    echo "missing flm binary: $FLM_BIN" >&2
-    exit 1
-fi
-
-# --- optional flags ----------------------------------------------------------
-OPT_ARGS=()
-if [[ "${FLM_ASR}" != "0" ]]; then
-    OPT_ARGS+=(--asr "${FLM_ASR}")
-fi
-if [[ "${FLM_CTX_LEN}" != "-1" ]]; then
-    OPT_ARGS+=(--ctx-len "${FLM_CTX_LEN}")
-fi
-
-exec "$FLM_BIN" serve "$FLM_MODEL" \
-    --host "$FLM_HOST" \
-    -p "$FLM_PORT" \
-    --pmode "$FLM_PMODE" \
-    "${OPT_ARGS[@]}"

.AGENTTRASH/serve-frank-small.sh.llama.cpp

@@ -1,87 +0,0 @@
-#!/usr/bin/env bash
-# Serve peculiar-ragdoll/Tiel-Coder-35B-A3B (UD-Q6_K_XL) as
-# frank-default-small via stock llama.cpp on Dankserver (RTX 3090).
-#
-# Runtime: upstream llama.cpp (latest master, CUDA build with
-# -DGGML_CUDA_FA_ALL_QUANTS=ON -DCMAKE_CUDA_ARCHITECTURES=86).
-# The model is a 35B-total / 8-active MoE hybrid (qwen35moe arch) with
-# SSM/Mamba layers (full_attention_interval=4: 10 attention + 30 SSM
-# layers out of 40).  256 experts, 8 used per token.
-#
-# Expert offload: --cpu-moe keeps all 256 expert weights in CPU RAM.
-# Non-expert weights (attention, SSM, shared expert, embeddings, output)
-# are ~1.6 GB and fit entirely on the 24 GB RTX 3090.
-#
-# KV cache: Q8_0 for both K and V.  With CTX_SIZE=200700 (66 900 per
-# slot × 3 parallel) and 10 attention layers (2 KV heads × 256 dim),
-# the KV cache is ~2 GB — the requested 2 GB VRAM buffer.
-#
-# Model is loaded with mmap (default).  The 30 GB Q6_K_XL file is
-# memory-mapped; only accessed pages enter RAM.
-#
-# Tunables come from frank-default-small.env unless FRANK_SMALL_ENV_FILE
-# overrides that path.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_SMALL_ENV_FILE:-$SCRIPT_DIR/frank-default-small.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -----------------
-: "${MODEL_DIR:=/home/dank/models/tiel-coder-35b}"
-: "${MODEL_FILE:=Tiel-Coder-35B-A3B-UD-Q6_K_XL.gguf}"
-: "${LLAMA_SERVER:=/home/dank/llama.cpp/build/bin/llama-server}"
-: "${ALIAS:=frank-default-small}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-: "${CTX_SIZE:=200700}"
-: "${PARALLEL:=3}"
-: "${CACHE_TYPE_K:=q8_0}"
-: "${CACHE_TYPE_V:=q8_0}"
-: "${N_GPU_LAYERS:=999}"
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=1024}"
-: "${VERBOSITY:=2}"
-: "${CPU_MOE:=1}"
-: "${TEMPERATURE:=1.0}"
-: "${TOP_K:=20}"
-: "${TOP_P:=0.95}"
-: "${MIN_P:=0.0}"
-: "${THREADS:=7}"
-: "${THREADS_HTTP:=8}"
-
-MODEL="$MODEL_DIR/$MODEL_FILE"
-
-if [[ ! -f "$MODEL" ]]; then
-    echo "missing required file: $MODEL" >&2
-    exit 1
-fi
-if [[ ! -x "$LLAMA_SERVER" ]]; then
-    echo "missing llama-server binary: $LLAMA_SERVER" >&2
-    exit 1
-fi
-
-exec "$LLAMA_SERVER" \
-    --model "$MODEL" \
-    $([ "$CPU_MOE" = "1" ] && printf -- "--cpu-moe") \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --ctx-size "$CTX_SIZE" \
-    --parallel "$PARALLEL" \
-    --gpu-layers "$N_GPU_LAYERS" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --temp "$TEMPERATURE" \
-    --top-k "$TOP_K" \
-    --top-p "$TOP_P" \
-    --min-p "$MIN_P" \
-    --threads "$THREADS" \
-    --threads-http "$THREADS_HTTP" \
-    --alias "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT"

AGENTS.md

@@ -26,8 +26,8 @@ merge absorbed the former `vllmScripts` repo, history preserved).
 | Target | Service | Runtime | Payload | Port |
 |--------|---------|---------|---------|------|
 | Dankserver | `frank-archon` | radiance, digest-pinned, root unit, TP=2 | publisher `qwen3.8-next-flash-fp8-iq4r-moe.rad` | 7770 |
-| Dankclaw | `frank-dragoon` | halogen-flash-server 0.16.2, digest-pinned, root unit | `qwen38-flash-next-v2-abliterated.hgn` + n-gram + vision tower | 7770 |
-| Dankclaw | `frank-zealot` | llama.cpp PrismML fork build 10777, root unit — the only loader for this payload | Ternary-Bonsai-2-9B PQ2_0 + Q8_0 mmproj + rank-1 refusal adapter | 7771 |
+| Dankclaw | `frank-dragoon` | halogen-flash-server 0.18.20, digest-pinned, root unit | `qwen38-flash-next-v2-abliterated.hgn` + n-gram + vision tower | 7770 |
+| Dankclaw | `frank-zealot` | llama.cpp PrismML fork build 12118, root unit — the only loader for this payload | Ternary-Bonsai-2-9B PQ2_0 + Q8_0 mmproj + rank-1 refusal adapter | 7771 |
 
 Payload identity, shape, eras, laws and rollback live in ONE page each:
 [[frank-archon]], [[frank-dragoon]], [[frank-zealot]]. `scripts/<service>.env`
@@ -156,6 +156,15 @@ Unit requirements:
   (`<host>/<svc>/quadlet/`), is installed by the deployer, and is covered by
   the quadlet test seam. The host-side unit is generated state; the repo file
   is the source of truth.
+- **Bind-source gate** — a unit whose `Volume=` source is a mount this host owns
+  (the entropy array, the metadata view) carries
+  `ExecStartPre=/home/dank/serverAppConfigs/scripts/wait-for-mount.sh <source>`.
+  Measured 2026-10-31: in a **rootless** unit `RequiresMountsFor=` is inert (the
+  user manager cannot order against the system's mount unit), and
+  `ConditionPathIsMountPoint=` is fail-*dead* — an unmet condition logs `skipped,
+  unmet condition check` with `NRestarts=0` and no start attempt ever follows.
+  Bind the array before it is mounted and the container sees the empty pre-mount
+  directory as truth; a media scan then deletes the library it cannot see.
 
 Before declaring a service deployed: `systemctl --user is-enabled <name>` →
 `enabled`, `is-active` → `active`, and the container answers its health check.
@@ -176,11 +185,12 @@ alertmanager.container`, loopback :9093) → host-side Signal relay
 (`scripts/signal-relay.py`, user unit, 192.168.0.143:18093 — the host LAN
 IP, the one bind a container can reach as `host.containers.internal`;
 iptables admits loopback, the host and the podman bridge subnet only) → signal-cli account 318311.
-Prometheus targets read down for structural reasons (HTML-scraped "probes",
-Gitea metrics off); the remedy is a blackbox exporter. `frank-zealot` was down for
-a different reason until 2026-10-18: llama.cpp will not serve `/metrics` at all
-without `--metrics`. See
-`serverAppConfigs-docs/Infrastructure/Observability.md`.
+The former structural target downs (HTML-scraped "probes", Gitea metrics off)
+are retired as of 2026-10-21: HTTP liveness rides a blackbox exporter
+(`shared/blackbox/blackbox.yml`), Gitea serves `/metrics` from its quadlet, and
+every Prometheus job reports up. `frank-zealot` was down for a different reason
+until 2026-10-18: llama.cpp will not serve `/metrics` at all without
+`--metrics`. See `serverAppConfigs-docs/Infrastructure/Observability.md`.
 
 ## Testing
 
@@ -292,8 +302,8 @@ means off or NIC dead; a merely wedged kernel usually still answers ARP.
 2. Bench against the service itself. No scratch ports on an LLM host — one
    process owns the card. Use the runtime's own harness (`llama-bench`; a
    live llama.cpp server also reports honest `timings` per request, including
-   `draft_n`/`draft_n_accepted` — but on frank-zealot's PrismML fork build
-   10777 that object only reaches you on **`/v1/chat/completions`**: a greedy
+   `draft_n`/`draft_n_accepted` — but on frank-zealot's PrismML fork that object
+   only reaches you on **`/v1/chat/completions`** (measured on build 10777): a greedy
    `ignore_eos` run on the raw `/completion` path there answers **500 "The
    model produced output that does not match the expected Content-only
    format"** (measured 2026-10-18). halogen has no `/completion` path at all,
@@ -419,16 +429,17 @@ disagrees with it is the bug.
   digest-pinned `ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84…`.
   Engine stdout (the boot ledger: weights, KV pool, clamp) goes to
   `/home/dank/logs/frank_dragoon.log`, NOT the journal.
-- Shape: `HALOGEN_CTX=200704` is the **per-request ceiling** (a longer prompt
-  is a 400, never a truncation); `HALOGEN_KV_SLOTS=2` over ONE
-  `HALOGEN_KV_POOL_POSITIONS=401408` pool — pool positions buy concurrency,
-  the per-request window never moves; `HALOGEN_SPEC_ADAPT=0` keeps the MTP
-  drafter always armed (the adaptive default disarms it and halves decode);
-  server sampler 1.0/0.95/20.
-- Harness contract: `models.yml` `contextWindow: 155648` = ceiling − 45,056.
-  The clamp is `min(45056, window − est − 4096)` and the chars/4 estimate
-  under-counts, so a harness window equal to the ceiling makes every long
-  request a guaranteed 400. Reasoning arrives in `reasoning_content`; the
+- Shape: `HALOGEN_CTX=262144` (the checkpoint's native window) is the
+  **per-request ceiling** (a longer prompt is a 400, never a truncation);
+  `HALOGEN_KV_SLOTS=2` over ONE `HALOGEN_KV_POOL_POSITIONS=401408` pool —
+  pool positions buy concurrency, the per-request window never moves;
+  `HALOGEN_SPEC_ADAPT=0` keeps the MTP drafter always armed (the adaptive
+  default disarms it and halves decode); server sampler 1.0/0.95/20.
+- Harness contract: `models.yml` `contextWindow: 200000` — ~45k+ under the
+  ceiling. The clamp is `min(45056, window − est − 4096)` and the chars/4
+  estimate under-counts (trigger is 95 %), so a harness window at the ceiling
+  makes every long request a guaranteed 400.
+  Reasoning arrives in `reasoning_content`; the
   template rejects `reasoning_effort` outside `xhigh|medium|low`; images are
   OpenAI `image_url` parts (probe ≥256 px); `response_format` unsupported;
   `/completion`, `/ping`, `/props`, `/tokenize` are 404.
@@ -437,16 +448,16 @@ disagrees with it is the bug.
 ### frank-zealot — llama.cpp (PrismML fork), RTX 3090, :7771
 
 - Owns: `scripts/frank-zealot.env`, `scripts/serve-frank-zealot.sh`,
-  `scripts/frank-zealot.service`; fork build `llama-prism-b10777` is the ONLY
-  loader (the payload carries the fork's custom PQ2_0 tensor type plus
+  `scripts/frank-zealot.service`; fork build `llama-prism-0244744` (build 12118)
+  is the ONLY loader — `llama-prism-b10777` stays on disk as its rollback (the payload carries the fork's custom PQ2_0 tensor type plus
   `prism.hadamard.*` dequant metadata — stock llama.cpp refuses it, and a
   loader ignoring that metadata dequantizes wrong); payload
   `Bonsai2-9B-MTP/…PQ2_0.gguf` + the publisher's **Q8_0** mmproj (the BF16
   tower can crash the server with concurrent image requests) + the rank-1
   refusal-direction adapter applied at load by `--lora-scaled …:1`. The
   adapter's rollback is `LORA_FILE=` (empty) in the env — one line, no rebuild
-  — and build 10777 is also the gate that lets it load: older forks refuse it
-  with `unsupported prism.hadamard.version: 2`.
+  — and the fork BUILD is also the gate that lets it load: anything older than
+  b10777 refuses it with `unsupported prism.hadamard.version: 2`.
 - Shape: `--ctx-size 602112 --parallel 3` = **three conversations at
   200,704 each**, `CACHE_TYPE_K=f16` + `CACHE_TYPE_V=q8_0` (asymmetric: 25,088
   B/token, 14,406 MiB of pool), batch 6144 / ubatch 1024,
@@ -739,6 +750,13 @@ linked runbooks.
   `/etc/default/grub`. It replaced `amd_iommu=off`, and the local A/B on byte-identical traffic
   says identity mode costs nothing, so the XDNA2 NPU returned for free.
   [[dankclaw-iommu-translation-off]]
+- **A deploy handler that only `start`s a quadlet no-ops an image bump.**
+  `systemctl --user start` on an already-active unit does nothing, so installing
+  a new digest under a running service keeps the OLD container serving while the
+  deploy, its health gate and the Playwright suite all pass — the authentik
+  handler did exactly that on 2026-10-30 (2026.8.3 → 2026.8.5 moved only the
+  outpost, the one handler that restarted). A pin change is applied by
+  `restart`, never `start`.
 - **Rootless Quadlet containers run with `--replace --rm`**: `podman logs` covers only the CURRENT
   instance; history across recreations lives in `journalctl --user -u <name>.service`. Read
   rootless storage WITHOUT sudo — it is per-user storage, so `sudo podman logs` finds nothing.
@@ -798,6 +816,8 @@ per-attempt page and no per-swap ledger anywhere else.
 | `frank-tts` — cloned-voice speech, Dankclaw | `serverAppConfigs-docs/Dankclaw/Frank TTS.md` |
 | Dankclaw kernel posture (`iommu=pt` since 2026-10-18) | `serverAppConfigs-docs/LLM/dankclaw-iommu-translation-off.md` |
 | Deployment flow | `serverAppConfigs-docs/Architecture/Deployment Flow.md` |
+| Movie-library relayout (Jellyfin format, Dankserver) | `serverAppConfigs-docs/Dankserver/Media Relayout.md` |
+| SSD-backed metadata view (Jellyfin writes, Plex reads, Dankserver) | `serverAppConfigs-docs/Dankserver/Media Metadata View.md` |
 
 There is no page for a retired endpoint and no change diary. A payload swap
 appends one row to the live endpoint's **Eras** table; when the endpoint itself
@@ -839,5 +859,7 @@ history.
 | Writing a doc | **One owner per fact** — edit the endpoint/service page; everywhere else links. Never restate a number. |
 | Benchmarking (only when ordered) | **Stop and mask the service first**, bench, unmask, restart, verify health. |
 | Deleting a file | **Move it to trash** — `.AGENTTRASH/` (in-repo) or `~/.AGENTTRASH/YYYYMMDD-topic`. Never `rm`. |
+| Relayout the movie library | **Census → plan → read the exceptions → `scripts/media-apply.py`** — renames only, journal before every move; never hand-rename, never copy. |
+| Making media metadata visible to both media servers | **Bind `/var/lib/media-meta/view`** — the overlay `scripts/media-view.sh` installs (array below, NVMe above). Never write the array; never delete through the view. **Not yet deployed on Dankserver: the live quadlets still bind the array read-only — see [[Media Metadata View]].** |
 | Tests exist | **Run them** — verify tests pass after every change. Do not commit failing tests. |
 | Real secrets | **Never commit** — host `.env` files; `.env.example` holds placeholders only. |

dankclaw/authentik/quadlet/authentik-outpost-ldap.container

@@ -23,7 +23,7 @@ Network=dankclaw_default
 # Image=ghcr.io/goauthentik/ldap:2026.8.3 (amd64 digest; podman 5.7.0 refuses
 # the tag's nested manifest list, so pin the single-platform digest).
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env
-Image=ghcr.io/goauthentik/ldap@sha256:2e7b259eb8c37faac916946ddf48ec681ee9d3a9f724fe8521bf161973f13cf9
+Image=ghcr.io/goauthentik/ldap:2026.8.5@sha256:4c75bd27918418d2d6fbbfe4581bbd5a199fe38942d24559c4483edd64a1ea87
 Environment=AUTHENTIK_HOST=https://auth.franksdank.cloud
 Environment=AUTHENTIK_INSECURE=false
 Environment=AUTHENTIK_TOKEN=${AUTHENTIK_LDAP_OUTPOST_TOKEN}

dankclaw/authentik/quadlet/authentik-outpost.container

@@ -20,7 +20,7 @@ Wants=authentik-server.service
 
 [Container]
 ContainerName=authentik-outpost
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.5@sha256:602227a86455d6772e3d16b7d852713c4f864f40df5df894abd1285bb53979a5
 Exec=worker
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/authentik/quadlet/authentik-postgres.container

@@ -14,7 +14,7 @@ After=network.target
 
 [Container]
 ContainerName=authentik-postgres
-Image=docker.io/library/postgres:16-alpine
+Image=docker.io/library/postgres:16-alpine@sha256:0cefaabd882e42bcb2a2f3dc56d3ce4770560ba62fd7f197f1a2e008fd5731ab
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env
 Environment=POSTGRES_DB=authentik

dankclaw/authentik/quadlet/authentik-server.container

@@ -19,7 +19,7 @@ Wants=authentik-postgres.service
 
 [Container]
 ContainerName=authentik-server
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.5@sha256:602227a86455d6772e3d16b7d852713c4f864f40df5df894abd1285bb53979a5
 Exec=server
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/authentik/quadlet/authentik-worker.container

@@ -16,7 +16,7 @@ Wants=authentik-server.service
 
 [Container]
 ContainerName=authentik-worker
-Image=ghcr.io/goauthentik/server:2026.8.3
+Image=ghcr.io/goauthentik/server:2026.8.5@sha256:602227a86455d6772e3d16b7d852713c4f864f40df5df894abd1285bb53979a5
 Exec=worker
 Network=dankclaw_default
 EnvironmentFile=/home/dank/serverAppConfigs/dankclaw/.env

dankclaw/gitea/quadlet/gitea-postgres.container

@@ -15,7 +15,7 @@ After=network.target
 [Container]
 ContainerName=gitea-postgres
 Network=gitea.network
-Image=docker.io/library/postgres:16-alpine
+Image=docker.io/library/postgres:16-alpine@sha256:0cefaabd882e42bcb2a2f3dc56d3ce4770560ba62fd7f197f1a2e008fd5731ab
 EnvironmentFile=/home/dank/Containers/gitea/env
 Environment=POSTGRES_USER=gitea
 Environment=POSTGRES_PASSWORD=${GITEA_DB_PASSWORD}

dankclaw/gitea/quadlet/gitea-server.container

@@ -19,7 +19,7 @@ After=gitea-postgres.service network.target
 [Container]
 ContainerName=gitea-server
 Network=gitea.network
-Image=docker.io/gitea/gitea:latest
+Image=docker.io/gitea/gitea:latest@sha256:30777c91280d973fa02be48b1ade735bd6859e8f6f7af3b4444d519437852504
 EnvironmentFile=/home/dank/Containers/gitea/env
 Environment=DATABASE_TYPE=postgres
 Environment=DATABASE_HOST=gitea-postgres
@@ -29,6 +29,13 @@ Environment=DATABASE_PASSWD=${GITEA_DB_PASSWORD}
 Environment=DATABASE_PORT=5432
 Environment=USER_UID=1000
 Environment=USER_GID=1000
+# Prometheus scrapes /metrics over the published LAN port (job "gitea" in
+# shared/prometheus/prometheus.yml). Off, /metrics is a 404 and the target is
+# permanently red (the audit's "disabled metrics" class). 0.0.0.0 binds inside
+# the container; the only route in is this host's published 3000, and the
+# exposed surface is counters only — same posture as the LLM /metrics.
+Environment=GITEA__metrics__ENABLED=true
+Environment=GITEA__metrics__ENABLED_HOST=0.0.0.0
 PublishPort=0.0.0.0:3000:3000
 PublishPort=2222:22
 Volume=/home/dank/Containers/gitea/data:/data

dankclaw/hermes/quadlet/chrome-devtools-protocol.container

@@ -25,7 +25,7 @@ Description=Chrome DevTools Protocol daemon (headless-shell) for hermes
 [Container]
 ContainerName=chrome-devtools-protocol
 Network=host
-Image=docker.io/chromedp/headless-shell@sha256:2d349b544a1ea6b5b5fd7c0fe99215ff662339c57407ee2e8c0a11af93516b04
+Image=docker.io/chromedp/headless-shell@sha256:7bee201478b2f6266aae01243740ee85c16281e32f42d3aed9fdf04f4eace7a1
 Entrypoint=/headless-shell/headless-shell
 Exec=--no-sandbox --disable-gpu --use-gl=angle --use-angle=swiftshader --remote-debugging-address=127.0.0.1 --remote-debugging-port=9222
 ShmSize=1073741824

dankclaw/marreta/quadlet/marreta-browser.container

@@ -23,7 +23,7 @@ After=gluetun.service network.target
 [Container]
 ContainerName=marreta_browser
 Network=gluetun.container
-Image=docker.io/lightpanda/browser:nightly
+Image=docker.io/lightpanda/browser:nightly@sha256:e72730e364d1fbf352c1149f29ffa4b278f3b1a55ff0dec3262298ebe624ec7a
 
 [Service]
 TimeoutStartSec=300

dankclaw/marreta/quadlet/marreta.container

@@ -32,7 +32,7 @@ After=gluetun.service marreta-browser.service network.target
 [Container]
 ContainerName=marreta
 Network=gluetun.container
-Image=ghcr.io/manualdousuario/marreta:latest
+Image=ghcr.io/manualdousuario/marreta:latest@sha256:30f2a34567b79b66da794b4b9423751bbbcd07ceff600d9f6a2d219e7e439362
 # Relocate off SearXNG's 8080 inside the shared netns.
 Environment=NGINX_HTTP_PORT=8085
 Environment=APP_NAME=Marreta

dankclaw/observability/quadlet/alertmanager.container

@@ -33,7 +33,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=alertmanager
-Image=docker.io/prom/alertmanager:latest
+Image=docker.io/prom/alertmanager:latest@sha256:39d8bb3966c694a124428a3a88fbcffd40bd069129ecd47c059f8a3f17c55f3b
 Network=dankclaw_default
 User=0:0
 Exec=--config.file=/etc/alertmanager/alertmanager.yml --storage.path=/alertmanager

dankclaw/observability/quadlet/blackbox-exporter.container

@@ -0,0 +1,56 @@
+# Quadlet unit: blackbox exporter (rootless, host network, boot-persistent).
+#
+# Install path on dankclaw:
+#   ~/.config/containers/systemd/blackbox-exporter.container
+#
+# WHY Network=host. The probes it runs are (a) the host's own LAN IP
+# (192.168.0.143:8081 SearXNG, :3005 OpenWebUI — host-process/portmap binds a
+# bridge container cannot reach; netavark DNATs published ports only, see
+# Container Host Reachability in the vault) and (b) ComfyUI's published port
+# via 127.0.0.1 (rootless --network=host shares the real host netns, so the
+# 0.0.0.0:8188 publish answers on loopback). A bridge-networked prober could
+# reach neither class reliably.
+#
+# WHY the listener binds 127.0.0.1 + LAN. A bridge container CANNOT dial
+# its own host's LAN IP (netavark hairpin gap, measured 2026-10-21), but a
+# bridge container dialing the podman gateway 169.254.1.2 lands on the host
+# LOOPBACK — that is the scrape path, and it needs this exporter to be
+# LISTENING ON LOOPBACK (proved: 200 from the prometheus container to
+# http://169.254.1.2:9115/-/healthy with a loopback bind). The gateway
+# address itself is NOT bindable from the host netns — it exists only
+# inside each rootless netns; binding it dies "bind: cannot assign
+# requested address" (live 2026-10-21). The LAN bind stays for diagnostics.
+# No public DNS name, no guard chain: internal net only, per the exposure
+# policy. The listen flag is --web.listen-address and it is REPEATABLE, one
+# flag per bind; plain --listen-address does not exist and the exporter
+# exits in 100 ms with "unknown long flag" (live 2026-10-21).
+
+[Unit]
+Description=Blackbox exporter (HTTP probe prober)
+After=network-online.target
+
+[Container]
+Image=docker.io/prom/blackbox-exporter@sha256:ea1c7aa3ef3f307cd03e85f34abb604478ccb90b567fc690da0cd9776da76b13
+ContainerName=blackbox-exporter
+Network=host
+# The image's ENTRYPOINT is /bin/blackbox_exporter itself (proved live
+# 2026-10-21: `podman run IMAGE sh` dies "unexpected sh"), so Exec= carries
+# FLAGS ONLY — repeating the binary makes it a positional arg and kingpin
+# exits "unexpected /bin/blackbox_exporter".
+Exec=--config.file=/etc/blackbox_exporter/config.yml --web.listen-address=127.0.0.1:9115 --web.listen-address=192.168.0.143:9115
+Volume=/opt/blackbox/blackbox.yml:/etc/blackbox_exporter/config.yml:ro
+# Plain exec form like every sibling unit. Shell form (`/bin/sh -c "…"`)
+# is passed as one quoted token and quadlet then folds the following
+# --health-interval/--health-retries (and the image name) into the command
+# string — unit died twice that way, live 2026-10-21. wget only; this
+# busybox variant has no curl, and host-network wget answers on loopback.
+HealthCmd=wget -q -O /dev/null http://127.0.0.1:9115/-/healthy
+HealthInterval=30s
+HealthRetries=3
+
+[Service]
+Restart=always
+RestartSec=5
+
+[Install]
+WantedBy=default.target

dankclaw/observability/quadlet/cadvisor.container

@@ -35,7 +35,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=cadvisor
-Image=gcr.io/cadvisor/cadvisor:v0.49.1
+Image=gcr.io/cadvisor/cadvisor:v0.49.1@sha256:3cde6faf0791ebf7b41d6f8ae7145466fed712ea6f252c935294d2608b1af388
 PodmanArgs=--pid=host --cgroupns=host
 PublishPort=127.0.0.1:8080:8080
 PublishPort=192.168.0.143:8080:8080

dankclaw/observability/quadlet/grafana.container

@@ -34,7 +34,7 @@ Wants=network-online.target prometheus.service
 
 [Container]
 ContainerName=grafana
-Image=docker.io/grafana/grafana:latest
+Image=docker.io/grafana/grafana:latest@sha256:488984b716c0862639f91a698adbe2862677a5a07bad42da5f03f3030883b205
 Network=dankclaw_default
 User=0:0
 PublishPort=127.0.0.1:3002:3000

dankclaw/observability/quadlet/node-exporter.container

@@ -33,7 +33,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=node-exporter
-Image=docker.io/prom/node-exporter:latest
+Image=docker.io/prom/node-exporter:latest@sha256:1b4e4438faca4dd7e001dd445d161a4a2091b0fededa84093b3a8dfeae1f1be0
 Network=host
 PodmanArgs=--pid=host
 Exec=--path.procfs=/host/proc --path.sysfs=/host/sys --path.rootfs=/rootfs --web.listen-address=127.0.0.1:9100 --web.listen-address=192.168.0.143:9100

dankclaw/observability/quadlet/prometheus.container

@@ -43,8 +43,16 @@ Wants=network-online.target
 
 [Container]
 ContainerName=prometheus
-Image=docker.io/prom/prometheus:latest
+Image=docker.io/prom/prometheus:latest@sha256:fa3302279710be2f21a8301ec17a8b4f2301fd829bd113839b3b6b02b6f191a2
 Network=dankclaw_default
+# Same-host scrape targets are dialed at host.containers.internal (the podman
+# gateway): a bridge container cannot dial its own host's LAN IP (netavark
+# hairpin gap, measured 2026-10-21), and traffic to the gateway lands on host
+# loopback / published ports (cadvisor/gpu jobs and the blackbox scrape all
+# ride it). The name resolves natively — NO HostAddr key: quadlet 5.7.0 calls
+# it unsupported and the WHOLE user quadlet batch then fails to generate,
+# silently orphaning every other unit (live 2026-10-21: prometheus.service
+# vanished while its container kept running as an orphan).
 User=0:0
 Exec=--config.file=/etc/prometheus/prometheus.yml --storage.tsdb.path=/prometheus --storage.tsdb.retention.time=30d --web.enable-lifecycle
 PublishPort=127.0.0.1:9090:9090

dankclaw/open-webui/quadlet/open-webui.container

@@ -27,7 +27,7 @@ After=network.target
 [Container]
 ContainerName=open-webui
 Network=open-webui.network
-Image=ghcr.io/open-webui/open-webui:main
+Image=ghcr.io/open-webui/open-webui:main@sha256:0b399a8ba34558e181d316750455f2a95376a38cd60a61b9c942e138898944bd
 PublishPort=3005:8080
 Environment=OPENAI_API_BASE_URL=http://192.168.0.143:7770
 Environment=ANONYMIZED_TELEMETRY=False

dankclaw/pihole/quadlet/pihole.container

@@ -24,7 +24,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=pihole
-Image=docker.io/pihole/pihole:latest
+Image=docker.io/pihole/pihole:latest@sha256:d34134716fc32038b052a8674c7c6879e0ff21f0e6d8af345166fffa2c27c113
 Network=slirp4netns
 PublishPort=0.0.0.0:53:53/udp
 PublishPort=0.0.0.0:53:53/tcp

dankclaw/searxng/quadlet/gluetun.container

@@ -16,7 +16,7 @@ After=searxng-network.service network.target
 [Container]
 ContainerName=gluetun
 Network=searxng.network
-Image=docker.io/qmcgaw/gluetun:latest
+Image=docker.io/qmcgaw/gluetun:latest@sha256:4af0c804003481e100180e1f8d4d5e9c48163fedc0f88d061881b615aef9d183
 AddCapability=NET_ADMIN
 AddDevice=/dev/net/tun:/dev/net/tun
 Environment=VPN_SERVICE_PROVIDER=${VPN_SERVICE_PROVIDER}

dankclaw/searxng/quadlet/searxng-valkey.container

@@ -16,7 +16,7 @@ After=searxng-network.service network.target
 ContainerName=searxng-valkey
 Network=searxng.network
 NetworkAlias=valkey
-Image=docker.io/valkey/valkey:9-alpine
+Image=docker.io/valkey/valkey:9-alpine@sha256:bf09d58e96d6b4524a15396b65b242bbe18beebbcc15a04d8ee75ddac62fae0b
 Volume=/opt/searxng/valkey:/data
 
 [Service]

dankclaw/searxng/quadlet/searxng.container

@@ -16,7 +16,7 @@ After=gluetun.service searxng-valkey.service network.target
 [Container]
 ContainerName=searxng
 Network=gluetun.container
-Image=ghcr.io/searxng/searxng:latest
+Image=ghcr.io/searxng/searxng:latest@sha256:f4aa660c54d062dedb268be84e821ea24e39f48c7a496af8dd02cc9eedb93847
 Environment=SEARXNG_SECRET=${SEARXNG_SECRET}
 Environment=SEARXNG_BASE_URL=${SEARXNG_BASE_URL}
 Volume=/opt/searxng/config:/etc/searxng

dankclaw/seerr/quadlet/seerr.container

@@ -29,7 +29,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=seerr
-Image=ghcr.io/seerr-team/seerr:v3.4.1
+Image=ghcr.io/seerr-team/seerr:v3.5.1@sha256:d8fab675b55ad293ded98fd71efcfd46054cbad9746534ae1cc4794a88c0b3be
 Network=dankclaw_default
 PublishPort=127.0.0.1:5055:5055
 Volume=/home/dank/Containers/seerr/data:/app/config

dankserver/.AGENTTRASH/20260916-vllm-radiance/affinity-proxy.py

@@ -1,156 +0,0 @@
-#!/usr/bin/env python3
-"""HTTP front door for the frank-medium single-GPU replicas.
-
-Why two replicas instead of TP=2: one vLLM process spanning both R9700s needs
-RCCL collectives, and RCCL's kernels require PCIe atomics on every
-participating GPU. The second card sits behind chipset bridges advertising
-`AtomicOpsCap: Routing-`, which no software can enable (see the runbook), so
-no collective can launch on it. Two single-GPU replicas use both cards; this
-service keeps the fleet contract of one endpoint on :7770, streaming included.
-
-Routing decisions live in routing.py — spread single-turn requests, pin
-continuations to the replica whose prefix cache holds their context. This file
-only moves bytes: parse enough of the request to route it, forward it verbatim,
-stream the answer back, and report replica health on /health.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import os
-from contextlib import suppress
-from aiohttp import ClientSession, ClientTimeout, web
-
-import routing
-
-PORT = int(os.environ.get("PORT", "7770"))
-HEALTH_TTL = float(os.environ.get("HEALTH_TTL", "10"))
-# Hop-by-hop headers must not be forwarded (RFC 9110 §7.6.1) — forwarding
-# transfer-encoding or content-length of a rewritten body breaks clients.
-HOP_BY_HOP = {
-    "host", "content-length", "transfer-encoding", "connection",
-    "keep-alive", "proxy-authenticate", "proxy-authorization", "te",
-    "trailers", "upgrade",
-}
-
-UPSTREAMS = routing.UPSTREAMS
-# Replica health, refreshed by the watcher. Module state rather than aiohttp app
-# state: the application is frozen once the site is up.
-_UP: list[bool] = [True] * len(UPSTREAMS)
-
-
-async def health(session: ClientSession) -> web.Response:
-    results = await asyncio.gather(
-        *(session.get(u + "/health", timeout=ClientTimeout(total=5)) for u in UPSTREAMS),
-        return_exceptions=True,
-    )
-    lines, up = [], 0
-    for url, res in zip(UPSTREAMS, results):
-        if isinstance(res, Exception) or res.status != 200:
-            lines.append(f"{url} DOWN")
-        else:
-            up += 1
-            lines.append(f"{url} UP")
-    return web.Response(status=200 if up else 503, text="\n".join(lines) + "\n")
-
-
-async def watch_health() -> None:
-    """Refresh the replica up/down table so routing never targets a dead one.
-
-    One HTTP request per replica per interval, in exchange for never handing a
-    client a 502 after a restart.
-    """
-    global _UP
-    session = ClientSession()
-    try:
-        while True:
-            res = await asyncio.gather(
-                *(session.get(u + "/health", timeout=ClientTimeout(total=5)) for u in UPSTREAMS),
-                return_exceptions=True,
-            )
-            _UP = [not isinstance(r, Exception) and r.status == 200 for r in res]
-            await asyncio.sleep(HEALTH_TTL)
-    finally:
-        await session.close()
-
-
-async def proxy(request: web.Request) -> web.StreamResponse:
-    session: ClientSession = request.app["session"]
-    if request.path == "/health":
-        return await health(session)
-
-    body = await request.read()
-    headers = {k: v for k, v in request.headers.items() if k.lower() not in HOP_BY_HOP}
-
-    # Fail over before anything is written to the client. A replica that
-    # restarts is invisible to the health watcher for up to HEALTH_TTL, and a
-    # deploy restarts both replicas — without this retry a 10 s window of
-    # requests would 502 on a service that has a live card the whole time.
-    # vLLM's OpenAI endpoints are stateless per request, so re-sending a
-    # request that never reached an engine is safe; a request that failed
-    # mid-stream is not retried (that path is below).
-    tried: set[int] = set()
-    upstream = None
-    last_error = "no healthy frank-medium replica"
-    while len(tried) < len(UPSTREAMS):
-        idx = routing.route(body, request.remote, _UP)
-        if idx < 0 or idx in tried:
-            break
-        tried.add(idx)
-        target = UPSTREAMS[idx] + request.path_qs
-        try:
-            upstream = await session.request(
-                request.method, target, headers=headers, data=body or None,
-                timeout=ClientTimeout(total=None, sock_connect=10, sock_read=3600),
-            )
-            break
-        except Exception as exc:
-            # Demote at once: the watcher will confirm, but every request until
-            # then should skip this replica rather than pay the same timeout.
-            # Logged because a silent failover hides a card that is down.
-            _UP[idx] = False
-            last_error = f"{target} unreachable: {exc}"
-            print(f"proxy: failover — {target} unreachable ({exc}); retrying "
-                  f"another replica", flush=True)
-    if upstream is None:
-        # 503 when no replica was even reachable through the routing table,
-        # 502 when replicas were tried and all of them failed.
-        status = 502 if tried else 503
-        return web.Response(status=status, text=f"proxy: {last_error}\n")
-
-    out = web.StreamResponse(status=upstream.status, reason=upstream.reason)
-    for k, v in upstream.headers.items():
-        if k.lower() not in HOP_BY_HOP:
-            out.headers[k] = v
-    await out.prepare(request)
-    try:
-        async for chunk in upstream.content.iter_any():
-            await out.write(chunk)
-    except Exception:
-        # The client went away mid-stream (an aborted generation). Nothing to
-        # report: the engine sees its own cancellation.
-        pass
-    finally:
-        upstream.release()
-    with suppress(Exception):
-        await out.write_eof()
-    return out
-
-
-async def main() -> None:
-    app = web.Application(client_max_size=1024 ** 3)
-    app["session"] = ClientSession()
-    app.router.add_route("*", "/{tail:.*}", proxy)
-    runner = web.AppRunner(app)
-    await runner.setup()
-    await web.TCPSite(runner, "0.0.0.0", PORT).start()
-    print(f"proxy: :{PORT} -> {', '.join(UPSTREAMS)} routing={routing.ROUTING} "
-          f"key={routing.AFFINITY_BYTES}B known_max={routing.KNOWN_MAX}", flush=True)
-    watcher = asyncio.create_task(watch_health())
-    with suppress(asyncio.CancelledError):
-        await asyncio.gather(watcher)
-
-
-if __name__ == "__main__":
-    with suppress(KeyboardInterrupt):
-        asyncio.run(main())

dankserver/.AGENTTRASH/20260916-vllm-radiance/frank-medium-a.container

@@ -1,98 +0,0 @@
-# Quadlet unit: frank-medium replica A (rootless, boot-persistent).
-#
-# Install path on dankserver: ~/.config/containers/systemd/frank-medium-a.container
-# Unit name: frank-medium-a.service (container name: frank-medium-a)
-#
-# WHY TWO REPLICAS INSTEAD OF TP=2. The intended shape for frank-medium is one
-# tensor-parallel process across both R9700s (see frank-medium.container, kept
-# as the target). That shape cannot run on this host: RCCL's collective kernels
-# carry a hidden hostcall-buffer parameter, and the ROCr runtime refuses to
-# dispatch them on a device without PCIe atomics ("Pcie atomics not enabled,
-# hostcall not supported" -> AQL dispatch failed -> hipErrorIllegalState). The
-# second R9700 sits behind the chipset bridges 05:00.0/06:09.0, which advertise
-# `AtomicOpsCap: Routing-` — a read-only capability, so no software can enable
-# atomics on that path; the amdgpu driver's pci_enable_atomic_ops_to_root()
-# therefore fails for that GPU and KFD marks the CPU<->GPU2 link NO_ATOMICS.
-# The first R9700 sits on CPU root port 00:01.1 (Routing+) and does have
-# atomics. Result: every collective that touches GPU 2 dies at launch.
-# Two independent single-GPU replicas use both cards instead; the proxy unit
-# keeps the single :7770 endpoint. Full evidence: the frank-medium runbook.
-#
-# SHAPE. vLLM binds 0.0.0.0:7771 on the host network directly; no PublishPort.
-# MAXLEN is 114688, not the TP=2 deployment's 262144: one card carries the
-# whole model (~20 GiB of weights + drafter), leaving ~5.2 GiB of KV, and
-# 131072 does not fit (measured: needs 5.58 GiB). KV_MEM=0 lets vLLM profile
-# this shape instead of using the 2x7551-32624 pin, which is only valid at
-# TP=2/262144.
-#
-# DEVICES. /dev/kfd + /dev/dri; HIP_VISIBLE_DEVICES=0 (the first R9700). The
-# 2 GiB Raphael iGPU enumerates as index 2 and is excluded by the pin.
-# Only HIP_VISIBLE_DEVICES is set, never ROCR_VISIBLE_DEVICES: ROCR filters
-# first and HIP indexes into the filtered list, so a single-valued pair
-# (ROCR=1,HIP=1) leaves an empty device set.
-#
-# DO NOT name an environment variable TEMP, HOST or GPU_MAX_HEAP_SIZE: the
-# HIP runtime reads bare TEMP for its JIT cache path (2026-08-13 incident).
-[Unit]
-Description=frank-medium replica A — vllm-radiance MXFP4 Qwen3.8-27B on R9700 #1
-After=network-online.target
-
-[Container]
-ContainerName=frank-medium-a
-Image=localhost/radiance-vllm:0.9.3
-AddDevice=/dev/kfd
-AddDevice=/dev/dri
-GroupAdd=keep-groups
-# The upstream launcher's exact podman posture (rootless).
-PodmanArgs=--privileged --ipc=host --security-opt seccomp=unconfined --cap-add SYS_PTRACE --network=host
-Environment=HIP_VISIBLE_DEVICES=0
-Environment=SNAP=/models/Qwen3.8-27B-Uncensored-MXFP4-awq
-Environment=DRAFTER=/models/Qwen3.8-27B-DFlash2-FP8
-Environment=CHAT_TEMPLATE=/patches/qwen-fixed-v22.3.jinja
-Environment=SERVED_NAMES=frank-medium
-Environment=PORT=7771
-Environment=TP=1
-Environment=MAXSEQS=4
-Environment=CHUNK=8192
-Environment=MAXLEN=114688
-Environment=GPU_UTIL=0.98
-Environment=KV_MEM=0
-Environment=SPEC_METHOD=dflash
-Environment=SPEC=7
-# Checkpoints (rw: nothing downloads at runtime, but vLLM mmaps the shards).
-Volume=/home/dank/models:/models
-# Tokenizer files ride the HF cache; HF_HUB_OFFLINE=1 is set in the entrypoint.
-Volume=/home/dank/.cache/huggingface:/root/.cache/huggingface
-# Compile cache. Shared with the other replica and with the TP=2 target: the
-# entries are content-addressed, so shapes simply add subdirectories.
-Volume=/home/dank/.radiance-cache-w4a8-093-gdnm-nqft-fp8s-gnq:/cache
-# The pinned radiance clone: patches applied at every container start.
-Volume=/home/dank/GitPackages/radiance-vllm-mxfp4:/patches:z
-# The patched libr4d (pin b9e42ab + repo extras, key b9e42ab-rx6). The image's
-# shipped r4d.so predates the GDN overflow fix and NaNs this model.
-Volume=/home/dank/.cache/radiance-libr4d/b9e42ab-rx6:/r4d:z
-# Entrypoint + healthcheck from this checkout, mounted read-only.
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/radiance-entrypoint.sh:/usr/local/bin/frank-medium-entrypoint.sh:ro
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/frank-medium-healthcheck.py:/usr/local/bin/frank-medium-healthcheck.py:ro
-# The entrypoint must be the container command; the image's own entrypoint
-# (which the patched script execs at the end) must not run unpatched.
-PodmanArgs=--entrypoint /usr/local/bin/frank-medium-entrypoint.sh
-# 200 only once the engine serves; during first-start compilation the
-# container is legitimately unhealthy. HealthCmd is split on spaces into an
-# argv array by the podman 5.x v1 generator, hence the file-based probe.
-HealthCmd=python3 /usr/local/bin/frank-medium-healthcheck.py
-HealthInterval=60s
-HealthTimeout=30s
-HealthRetries=3
-HealthStartPeriod=1800s
-Pull=never
-
-[Service]
-# First start compiles Triton/inductor kernels (several minutes) before the
-# engine loads ~20 GiB of weights.
-TimeoutStartSec=1800
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=default.target

dankserver/.AGENTTRASH/20260916-vllm-radiance/frank-medium-b.container

@@ -1,98 +0,0 @@
-# Quadlet unit: frank-medium replica B (rootless, boot-persistent).
-#
-# Install path on dankserver: ~/.config/containers/systemd/frank-medium-b.container
-# Unit name: frank-medium-b.service (container name: frank-medium-a)
-#
-# WHY TWO REPLICAS INSTEAD OF TP=2. The intended shape for frank-medium is one
-# tensor-parallel process across both R9700s (see frank-medium.container, kept
-# as the target). That shape cannot run on this host: RCCL's collective kernels
-# carry a hidden hostcall-buffer parameter, and the ROCr runtime refuses to
-# dispatch them on a device without PCIe atomics ("Pcie atomics not enabled,
-# hostcall not supported" -> AQL dispatch failed -> hipErrorIllegalState). The
-# second R9700 sits behind the chipset bridges 05:00.0/06:09.0, which advertise
-# `AtomicOpsCap: Routing-` — a read-only capability, so no software can enable
-# atomics on that path; the amdgpu driver's pci_enable_atomic_ops_to_root()
-# therefore fails for that GPU and KFD marks the CPU<->GPU2 link NO_ATOMICS.
-# The first R9700 sits on CPU root port 00:01.1 (Routing+) and does have
-# atomics. Result: every collective that touches GPU 2 dies at launch.
-# Two independent single-GPU replicas use both cards instead; the proxy unit
-# keeps the single :7770 endpoint. Full evidence: the frank-medium runbook.
-#
-# SHAPE. vLLM binds 0.0.0.0:7772 on the host network directly; no PublishPort.
-# MAXLEN is 114688, not the TP=2 deployment's 262144: one card carries the
-# whole model (~20 GiB of weights + drafter), leaving ~5.2 GiB of KV, and
-# 131072 does not fit (measured: needs 5.58 GiB). KV_MEM=0 lets vLLM profile
-# this shape instead of using the 2x7551-32624 pin, which is only valid at
-# TP=2/262144.
-#
-# DEVICES. /dev/kfd + /dev/dri; HIP_VISIBLE_DEVICES=1 (the second R9700). The
-# 2 GiB Raphael iGPU enumerates as index 2 and is excluded by the pin.
-# Only HIP_VISIBLE_DEVICES is set, never ROCR_VISIBLE_DEVICES: ROCR filters
-# first and HIP indexes into the filtered list, so a single-valued pair
-# (ROCR=1,HIP=1) leaves an empty device set.
-#
-# DO NOT name an environment variable TEMP, HOST or GPU_MAX_HEAP_SIZE: the
-# HIP runtime reads bare TEMP for its JIT cache path (2026-08-13 incident).
-[Unit]
-Description=frank-medium replica B — vllm-radiance MXFP4 Qwen3.8-27B on R9700 #2
-After=network-online.target
-
-[Container]
-ContainerName=frank-medium-b
-Image=localhost/radiance-vllm:0.9.3
-AddDevice=/dev/kfd
-AddDevice=/dev/dri
-GroupAdd=keep-groups
-# The upstream launcher's exact podman posture (rootless).
-PodmanArgs=--privileged --ipc=host --security-opt seccomp=unconfined --cap-add SYS_PTRACE --network=host
-Environment=HIP_VISIBLE_DEVICES=1
-Environment=SNAP=/models/Qwen3.8-27B-Uncensored-MXFP4-awq
-Environment=DRAFTER=/models/Qwen3.8-27B-DFlash2-FP8
-Environment=CHAT_TEMPLATE=/patches/qwen-fixed-v22.3.jinja
-Environment=SERVED_NAMES=frank-medium
-Environment=PORT=7772
-Environment=TP=1
-Environment=MAXSEQS=4
-Environment=CHUNK=8192
-Environment=MAXLEN=114688
-Environment=GPU_UTIL=0.98
-Environment=KV_MEM=0
-Environment=SPEC_METHOD=dflash
-Environment=SPEC=7
-# Checkpoints (rw: nothing downloads at runtime, but vLLM mmaps the shards).
-Volume=/home/dank/models:/models
-# Tokenizer files ride the HF cache; HF_HUB_OFFLINE=1 is set in the entrypoint.
-Volume=/home/dank/.cache/huggingface:/root/.cache/huggingface
-# Compile cache. Shared with the other replica and with the TP=2 target: the
-# entries are content-addressed, so shapes simply add subdirectories.
-Volume=/home/dank/.radiance-cache-w4a8-093-gdnm-nqft-fp8s-gnq:/cache
-# The pinned radiance clone: patches applied at every container start.
-Volume=/home/dank/GitPackages/radiance-vllm-mxfp4:/patches:z
-# The patched libr4d (pin b9e42ab + repo extras, key b9e42ab-rx6). The image's
-# shipped r4d.so predates the GDN overflow fix and NaNs this model.
-Volume=/home/dank/.cache/radiance-libr4d/b9e42ab-rx6:/r4d:z
-# Entrypoint + healthcheck from this checkout, mounted read-only.
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/radiance-entrypoint.sh:/usr/local/bin/frank-medium-entrypoint.sh:ro
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/frank-medium-healthcheck.py:/usr/local/bin/frank-medium-healthcheck.py:ro
-# The entrypoint must be the container command; the image's own entrypoint
-# (which the patched script execs at the end) must not run unpatched.
-PodmanArgs=--entrypoint /usr/local/bin/frank-medium-entrypoint.sh
-# 200 only once the engine serves; during first-start compilation the
-# container is legitimately unhealthy. HealthCmd is split on spaces into an
-# argv array by the podman 5.x v1 generator, hence the file-based probe.
-HealthCmd=python3 /usr/local/bin/frank-medium-healthcheck.py
-HealthInterval=60s
-HealthTimeout=30s
-HealthRetries=3
-HealthStartPeriod=1800s
-Pull=never
-
-[Service]
-# First start compiles Triton/inductor kernels (several minutes) before the
-# engine loads ~20 GiB of weights.
-TimeoutStartSec=1800
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=default.target

dankserver/.AGENTTRASH/20260916-vllm-radiance/frank-medium-proxy.container

@@ -1,61 +0,0 @@
-# Quadlet unit: frank-medium proxy (rootless, boot-persistent).
-#
-# Install path on dankserver: ~/.config/containers/systemd/frank-medium-proxy.container
-# Unit name: frank-medium-proxy.service (container name: frank-medium-proxy)
-#
-# WHAT IT IS. A prefix-affinity reverse proxy in front of the two single-GPU
-# frank-medium replicas (:7771 on R9700 #1, :7772 on R9700 #2). It preserves
-# the fleet contract: one endpoint on host port 7770 answering as the served
-# model name frank-medium, OpenAI /v1, streaming included.
-#
-# WHY IT EXISTS. TP=2 — one vLLM process spanning both cards — is impossible
-# on this host (see frank-medium-a.container and the runbook: RCCL's kernels
-# need PCIe atomics, and the second card's chipset path advertises
-# AtomicOpsCap: Routing-). Two replicas are how both cards get used.
-#
-# ROUTING. Requests are keyed on a hash of their leading 4 KiB of prompt text,
-# so a conversation family — an agent loop re-sending the same system prompt,
-# tool list and file context every turn — keeps landing on the same replica,
-# where --enable-prefix-caching has that prefix warm. Plain round-robin threw
-# half of those cache hits away. A replica that is down is skipped, and
-# ROUTING=roundrobin restores the old behaviour for A/B measurement. /health
-# answers 200 while at least one replica is up and names the ones that are
-# down. The proxy runs on host networking so it can bind 7770 and reach the
-# replicas on loopback.
-#
-# The script is a few dozen lines of aiohttp, mounted read-only out of
-# /home/dank/serverAppConfigs (deploy.sh pulls that checkout before dispatch).
-# It reuses the same image as the replicas: aiohttp is already there and no
-# extra image has to be pulled on this host.
-[Unit]
-Description=frank-medium proxy — prefix-affinity in front of the two single-GPU replicas
-After=network-online.target
-Wants=frank-medium-a.service frank-medium-b.service
-After=frank-medium-a.service frank-medium-b.service
-
-[Container]
-ContainerName=frank-medium-proxy
-Image=localhost/radiance-vllm:0.9.3
-PodmanArgs=--network=host
-Environment=PORT=7770
-Environment=UPSTREAMS=http://127.0.0.1:7771,http://127.0.0.1:7772
-# The proxy is two files: routing.py holds the replica-selection policy, the
-# server holds the HTTP plumbing. Both are mounted because the server imports
-# the policy by name from its own directory (/usr/local/bin is sys.path[0]).
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/proxy/routing.py:/usr/local/bin/routing.py:ro
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/proxy/affinity-proxy.py:/usr/local/bin/affinity-proxy.py:ro
-Volume=/home/dank/serverAppConfigs/dankserver/frank-medium/frank-medium-healthcheck.py:/usr/local/bin/frank-medium-healthcheck.py:ro
-PodmanArgs=--entrypoint /usr/local/bin/affinity-proxy.py
-HealthCmd=python3 /usr/local/bin/frank-medium-healthcheck.py
-HealthInterval=60s
-HealthTimeout=30s
-HealthRetries=3
-HealthStartPeriod=60s
-Pull=never
-
-[Service]
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=default.target

dankserver/.AGENTTRASH/20260916-vllm-radiance/routing.py

@@ -1,129 +0,0 @@
-#!/usr/bin/env python3
-"""Routing policy for the frank-medium proxy: which replica serves a request.
-
-Kept apart from the HTTP plumbing in affinity-proxy.py so the decisions can be
-tested without aiohttp, a network or a GPU — the first version of these rules
-shipped with a bug that only appeared on a continuation request, and a test
-that loads this module catches that class of mistake directly.
-
-Two cards, two behaviours, and the workload decides which is right:
-
-* A **single-turn** request is one member of a batch (a benchmark run, a burst
-  of parallel subagents). Spreading those over both replicas lets both cards
-  prefill at once; measured on this host, a 16-request burst of 15k-token
-  prompts finishes in 18.6 s spread versus 30.1 s pinned.
-* A **continuation** re-sends a prefix the replica has already prefilled. Pinned
-  to that replica the turn costs a cache lookup; spread, half the turns pay a
-  cold prefill again (measured: 1096 ms versus 2676 ms mean warm-turn TTFT on
-  90k-token contexts).
-
-ROUTING picks the strategy; the default `adaptive` applies both rules above.
-`affinity` and `roundrobin` exist so the choice can be re-measured, and are not
-production settings.
-"""
-
-from __future__ import annotations
-
-import collections
-import hashlib
-import itertools
-import json
-import os
-
-UPSTREAMS = [u.strip() for u in os.environ.get(
-    "UPSTREAMS", "http://127.0.0.1:7771,http://127.0.0.1:7772").split(",") if u.strip()]
-ROUTING = os.environ.get("ROUTING", "adaptive").strip().lower()
-# Leading bytes of prompt text that identify a conversation's shared prefix.
-# 4 KiB covers a system prompt plus the start of the first user turn, which is
-# where agent loops keep the text they resend every turn.
-AFFINITY_BYTES = int(os.environ.get("AFFINITY_BYTES", "4096"))
-# Prefixes remembered for pinning. Bounded so a long-lived proxy cannot grow
-# without limit; 4096 conversations is far beyond what this fleet runs at once.
-KNOWN_MAX = int(os.environ.get("KNOWN_MAX", "4096"))
-
-_counter = itertools.count()
-# digest -> replica index, insertion-ordered for O(1) LRU eviction. A prefix is
-# remembered as soon as any request carries it; only a continuation is pinned
-# there, because only a continuation can profit from the cache entry.
-_known: "collections.OrderedDict[bytes, int]" = collections.OrderedDict()
-
-
-def affinity_key(body: bytes, remote: str | None) -> tuple[bytes, bool]:
-    """Key a request by its shared prefix, and report whether it continues one.
-
-    Chat and completions bodies both carry their prompt text in JSON, so the
-    leading bytes of that text are the prefix; a body we cannot parse (or an
-    endpoint with no prompt, e.g. /v1/models) falls back to the client address,
-    which still beats nothing for a single-client loop.
-    """
-    fallback = (remote or "anonymous").encode()
-    try:
-        payload = json.loads(body)
-    except Exception:
-        return fallback, False
-
-    text = ""
-    continuation = False
-    if isinstance(payload, dict):
-        if isinstance(payload.get("prompt"), str):
-            text = payload["prompt"]
-        elif isinstance(payload.get("messages"), list):
-            continuation = len(payload["messages"]) > 1
-            parts = []
-            for msg in payload["messages"]:
-                if isinstance(msg, dict):
-                    content = msg.get("content")
-                    if isinstance(content, str):
-                        parts.append(content)
-                    elif isinstance(content, list):  # multimodal content blocks
-                        parts.extend(
-                            blk.get("text", "") for blk in content
-                            if isinstance(blk, dict) and isinstance(blk.get("text"), str)
-                        )
-            text = "\n".join(parts)
-    if not text:
-        return fallback, continuation
-    return text[:AFFINITY_BYTES].encode("utf-8", "replace"), continuation
-
-
-def pick(key: bytes, continuation: bool, up: list[bool]) -> int:
-    """Replica for a request, or -1 when none is available.
-
-    Down replicas are never selected — a rollout must not send traffic to an
-    engine that is still compiling its graphs — and a pin whose replica is down
-    is re-established on a live one rather than kept pointing at a corpse.
-    """
-    digest = hashlib.sha1(key).digest()
-
-    if ROUTING == "roundrobin":
-        start = next(_counter) % len(UPSTREAMS)
-    elif ROUTING == "adaptive":
-        entry = _known.get(digest)
-        if continuation and entry is not None and up[entry]:
-            _known.move_to_end(digest)
-            return entry
-        # Anything that is not a continuation spreads by counter — including a
-        # batch of requests that happen to share one prefix. Hashing the prefix
-        # would send every member of such a batch to whichever card the hash
-        # names (measured: 29.8 s for a 16-request burst, against 18.6 s when
-        # spread). The counter is only advanced by these requests, so batch
-        # members alternate across the cards.
-        start = next(_counter) % len(UPSTREAMS)
-    else:  # affinity
-        start = int.from_bytes(digest[:8], "big") % len(UPSTREAMS)
-
-    for offset in range(len(UPSTREAMS)):
-        idx = (start + offset) % len(UPSTREAMS)
-        if up[idx]:
-            if ROUTING == "adaptive":
-                _known[digest] = idx
-                _known.move_to_end(digest)
-                if len(_known) > KNOWN_MAX:
-                    _known.popitem(last=False)
-            return idx
-    return -1
-
-
-def route(body: bytes, remote: str | None, up: list[bool]) -> int:
-    """Convenience wrapper: decode the request body and choose a replica."""
-    return pick(*affinity_key(body, remote), up)

dankserver/calibre-server/quadlet/calibre-server.container

@@ -43,7 +43,7 @@ After=network.target
 
 [Container]
 ContainerName=calibre-server
-Image=lscr.io/linuxserver/calibre:9.15.0
+Image=lscr.io/linuxserver/calibre:9.17.0@sha256:b198fc03a6abc6be7e251a9958e50e74634b00e447c7b25e92c191c8077ba378
 Network=pasta
 EnvironmentFile=/home/dank/Containers/calibre-server/env
 Environment=PUID=1000

dankserver/calibre-web/quadlet/calibre-web.container

@@ -16,7 +16,7 @@ After=network.target
 
 [Container]
 ContainerName=calibre-web
-Image=lscr.io/linuxserver/calibre-web:0.6.27-ls402
+Image=lscr.io/linuxserver/calibre-web:0.6.27-ls407@sha256:470b4ed9a7d6ea1475fef17dbcf957cb60880910296d226bd0dca652c05f68ca
 Network=pasta
 Environment=DOCKER_MODS=linuxserver/mods:universal-calibre
 Environment=LANG=en_US.UTF-8

dankserver/compose.yaml

@@ -94,34 +94,12 @@ services:
       timeout: 10s
       retries: 3
 
-  # ═══════════════════════════════════════════════
-  # Jellyfin — media server (movies, TV, music)
-  # ═══════════════════════════════════════════════
-  jellyfin:
-    image: jellyfin/jellyfin:latest
-    container_name: jellyfin
-    restart: unless-stopped
-    ports:
-      - "8096:8096/tcp"
-      - "8920:8920/tcp"
-      - "7359:7359/udp"
-      - "1900:1900/udp"
-    environment:
-      - JELLYFIN_PublishedServerUrl=http://192.168.0.235:8096
-      - DOTNET_SYSTEM_IO_DISABLEFILELOCKING=true
-    volumes:
-      - /opt/jellyfin/config:/config
-      - /opt/jellyfin/cache:/cache
-      - /mnt/entropy:/data:ro
-    devices:
-      - /dev/dri:/dev/dri
-    group_add:
-      - "992"
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8096/health"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
+  # Jellyfin left this file when it became a Quadlet: the container is owned by
+  # dankserver/jellyfin/quadlet/jellyfin.container, its data roots are under
+  # /home/dank/Containers/jellyfin, and its library arrives through the SSD
+  # overlay at /var/lib/media-meta/view (scripts/media-view.sh). The block that
+  # was here named /opt/jellyfin/* and a read-only array bind — a second owner for
+  # the container name `jellyfin`, wrong on every path. One owner per container.
 
   # ═══════════════════════════════════════════════
   # Calibre-Web — e-book web frontend

dankserver/copyparty/quadlet/copyparty.container

@@ -21,7 +21,13 @@ After=network.target
 
 [Container]
 ContainerName=copyparty
-Image=ghcr.io/9001/copyparty-ac:latest
+# Digest-pinned: upstream stopped publishing version tags after 1.19.15, so
+# the pin rides :latest@digest (the tag in the reference is cosmetic; the
+# digest is the pull). Pinned 2026-10-21 at the build whose label is
+# 1.20.26 - closes GHSA-3c88-p299-7hvr (1.20.25) and GHSA-hg99-jqfp-rf76
+# (1.20.26); the previously running build was the rolling :latest at
+# 1.20.24 (issue #73 on command-center).
+Image=ghcr.io/9001/copyparty-ac:latest@sha256:7f77459160a4bf34fdca79f2965dff4f0c1d7069a3d9cdfb3632acb041dd2f6a
 Network=dankserver_appnet
 EnvironmentFile=/home/dank/Containers/copyparty/env
 Exec=-a ${COPAY_ACCOUNT}:${COPAY_PASSWORD} -v /w::r:ra,dank
@@ -30,6 +36,9 @@ Volume=/home/dank/Containers/copyparty/cfg:/cfg
 PublishPort=3923:3923
 
 [Service]
+# /w is the array: serving the pre-mount directory instead of the volume shows an
+# empty share and nothing complains, so the mount has to answer first.
+ExecStartPre=/home/dank/serverAppConfigs/scripts/wait-for-mount.sh /mnt/entropy
 EnvironmentFile=/home/dank/Containers/copyparty/env
 Restart=always
 RestartSec=5

dankserver/host/crypttab

@@ -0,0 +1 @@
+entropy	UUID=cd86c728-459e-4f3a-bcc2-41ecf84685ec	/etc/entropy	nofail,luks

dankserver/host/fstab

@@ -0,0 +1,18 @@
+# /etc/fstab: static file system information.
+#
+# Use 'blkid' to print the universally unique identifier for a
+# device; this may be used with UUID= as a more robust way to name devices
+# that works even if disks are added and removed. See fstab(5).
+#
+# <file system> <mount point>   <type>  <options>       <dump>  <pass>
+# / was on /dev/nvme0n1p2 during curtin installation
+/dev/disk/by-uuid/4f3731d2-fb7b-48e7-a79f-0e33cb8a4162 / ext4 defaults 0 1
+# /boot/efi was on /dev/nvme0n1p1 during curtin installation
+/dev/disk/by-uuid/183C-442D /boot/efi vfat defaults 0 1
+#/dev/disk/by-label/archive-one /mnt/archive-one auto nosuid,nodev,nofail,x-gvfs-show 0 0
+#/dev/disk/by-label/archive-two /mnt/archive-two auto nosuid,nodev,nofail,x-gvfs-show 0 0
+# /dev/md0 is a LUKS container, not a filesystem; its ext4 is mounted via
+# /dev/mapper/entropy on the next line. Mounting /dev/md0 directly fails.
+#/dev/md0 /mnt/md0 ext4 auto,nofail,nosuid,nodev 0 0 
+/dev/mapper/entropy /mnt/entropy ext4 auto,nosuid,nofail,nodev,x-gvfs-show 0 0
+/swapfile none swap sw 0 0

dankserver/host/systemd/media-meta-view.mount

@@ -0,0 +1,30 @@
+# /etc/systemd/system/var-lib-media\x2dmeta-view.mount
+# (repo copy: dankserver/host/systemd/media-meta-view.mount — systemd names a
+# mount unit after its ESCAPED path, so the host file carries the \x2d spelling)
+#
+# Installed by `scripts/media-view.sh install` — the repo copy is the source of
+# truth (fleet law: never edit host state by hand).
+#
+# An OverlayFS merge that shows the media library as one tree while splitting
+# where its bytes live: lowerdir is the RAID6 array (the source of truth, never
+# written), upperdir is a directory on the NVMe that receives every write. The
+# two media servers bind the result at /var/lib/media-meta/view, so Jellyfin's
+# sidecars and artwork are SSD bytes — which is what makes them fast to browse
+# and what keeps Plex's NFO agent off the spinners — while the media itself stays
+# on the array untouched.
+#
+# RequiresMountsFor is load-bearing: without the array mounted, lowerdir is an
+# empty directory and the view would present an empty library as truth.
+
+[Unit]
+Description=SSD-backed overlay view of the media library (array + NVMe metadata layer)
+RequiresMountsFor=/mnt/entropy
+
+[Mount]
+What=overlay
+Where=/var/lib/media-meta/view
+Type=overlay
+Options=lowerdir=/mnt/entropy,upperdir=/var/lib/media-meta/upper,workdir=/var/lib/media-meta/work
+
+[Install]
+WantedBy=local-fs.target

dankserver/host/systemd/user.slice.d/io-accounting.conf

@@ -0,0 +1,14 @@
+# The io controller is what makes IOWeight= mean anything, and systemd does not
+# enable it below `user.slice` by default: with io accounting off, `io` never
+# appears in `user.slice/cgroup.subtree_control`, so no rootless container can
+# have an `io.weight` file and `IOWeight=` in a quadlet is silently inert.
+# Measured on Dankserver 2026-10-31: setting this property flipped
+# `user.slice/cgroup.subtree_control` from `cpu memory pids` to `cpu io memory
+# pids` immediately, with nothing restarted.
+#
+# This is half the fix; the other half is delegating io to user@1000.service
+# (user@1000.service.d/io-delegate.conf). Both must be in place before a reboot,
+# because the delegation is read when the user manager starts. Law and the
+# verification command: [[Quadlet Lifecycle]].
+[Slice]
+IOAccounting=yes

dankserver/host/systemd/user@1000.service.d/io-delegate.conf

@@ -0,0 +1,12 @@
+# The system manager gives the user manager cpu/memory/pids by default (systemd
+# 259: `systemctl show user@1000.service -p DelegateControllers` → `cpu memory
+# pids`). Without `io` in that set no `io.weight` file can exist anywhere below
+# `user.slice`, so `IOWeight=` in a rootless quadlet is silently inert — the same
+# class of trap as `RequiresMountsFor=`. Granting the controller here is what
+# makes the media servers' I/O share real.
+#
+# Inert until `user@1000.service` starts again, i.e. the next reboot (restarting
+# it would kill every rootless container on the host). Verify after the reboot
+# with the check in [[Quadlet Lifecycle]].
+[Service]
+DelegateControllers=cpu memory pids io

dankserver/jellyfin/quadlet/jellyfin.container

@@ -4,8 +4,9 @@
 # Unit name: jellyfin.service (podman 5.x drops the container- prefix)
 #
 # Data roots migrated from /opt/jellyfin to /home/dank/Containers/jellyfin at
-# cutover. All of /mnt/entropy is mounted read-only at /data: nothing automated
-# anywhere writes to the entropy volume. Every
+# cutover. The library is seen through /var/lib/media-meta/view, the SSD-backed
+# overlay view (scripts/media-view.sh): the array stays read-only and untouched,
+# while the sidecars this server writes land on the NVMe. Every
 # creation-time environment variable of the compose-era container is kept as
 # an Environment= line (zero drift); none of them are secrets, so this unit
 # needs no EnvironmentFile.
@@ -16,7 +17,7 @@ After=network.target
 
 [Container]
 ContainerName=jellyfin
-Image=ghcr.io/jellyfin/jellyfin:latest
+Image=ghcr.io/jellyfin/jellyfin:latest@sha256:fea863d0cd9ec445985d9c75fc6ed64e38a1d2766cf0c250a33d553f4fc1b771
 Network=dankserver_appnet
 Environment=DEBIAN_FRONTEND=noninteractive
 Environment=DOTNET_SYSTEM_IO_DISABLEFILELOCKING=true
@@ -41,7 +42,11 @@ PublishPort=7359:7359/udp
 PublishPort=1900:1900/udp
 Volume=/home/dank/Containers/jellyfin/config:/config
 Volume=/home/dank/Containers/jellyfin/cache:/cache
-Volume=/mnt/entropy:/data:ro
+# The view, writable: Jellyfin is the metadata writer (movie.nfo / tvshow.nfo /
+# episode.nfo + artwork) and those bytes belong on the SSD. The gate in [Service]
+# is the guard: started against a plain, unmounted view directory a scan decides
+# the library is empty and deletes what it cannot see.
+Volume=/var/lib/media-meta/view:/data
 AddDevice=/dev/dri
 GroupAdd=keep-groups
 HealthCmd=curl -f http://localhost:8096/health
@@ -50,8 +55,19 @@ HealthTimeout=10s
 HealthRetries=3
 
 [Service]
+# Refuse to start until the bind source is a real mount — see the header of
+# scripts/wait-for-mount.sh for the blind-boot incident this prevents.
+ExecStartPre=/home/dank/serverAppConfigs/scripts/wait-for-mount.sh /var/lib/media-meta/view /mnt/entropy
 Restart=always
 RestartSec=5
 
+# A library scan reads the array for minutes on end. Weighted LOW (default is
+# 100) so that when the array is contended a scan loses to playback and to every
+# other container this user runs. Proportional share, not a cap: it changes
+# nothing while the disk is idle. 10 is a convention — the requirement is only
+# that it sit far below 100 — and it is inert until user@1000.service is
+# delegated the io controller ([[Quadlet Lifecycle]]).
+IOWeight=10
+
 [Install]
 WantedBy=default.target

dankserver/observability/quadlet/cadvisor.container

@@ -18,7 +18,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=cadvisor
-Image=gcr.io/cadvisor/cadvisor:v0.49.1
+Image=gcr.io/cadvisor/cadvisor:v0.49.1@sha256:3cde6faf0791ebf7b41d6f8ae7145466fed712ea6f252c935294d2608b1af388
 PodmanArgs=--pid=host --cgroupns=host
 PublishPort=127.0.0.1:8080:8080
 PublishPort=192.168.0.235:8080:8080

dankserver/observability/quadlet/node-exporter.container

@@ -37,7 +37,7 @@ Wants=network-online.target
 
 [Container]
 ContainerName=node-exporter
-Image=docker.io/prom/node-exporter:latest
+Image=docker.io/prom/node-exporter:latest@sha256:1b4e4438faca4dd7e001dd445d161a4a2091b0fededa84093b3a8dfeae1f1be0
 Network=host
 PodmanArgs=--pid=host
 Exec=--path.procfs=/host/proc --path.sysfs=/host/sys --path.rootfs=/rootfs --web.listen-address=127.0.0.1:9100 --web.listen-address=192.168.0.235:9100

dankserver/plex/quadlet/plex.container

@@ -4,19 +4,33 @@ After=network-online.target
 Wants=network-online.target
 
 [Container]
-Image=lscr.io/linuxserver/plex:1.43.4.10903-e5521bd8c-ls325
+Image=lscr.io/linuxserver/plex:1.43.5.11079-b3b13e506-ls330@sha256:01a53d9c7adcbb3701fbb0a4230c0a37c85453759b6b05a67356c3c7a09de08d
 ContainerName=plex
 Network=dankserver_appnet:alias=plex
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles
 Volume=/var/lib/plexmediaserver:/config
-Volume=/mnt/entropy:/mnt/entropy:ro
+# The container path stays /mnt/entropy on purpose: every path Plex recorded in
+# its own database is written against it, so swapping the HOST source of this bind
+# to the overlay view re-points Plex at the sidecars without touching its DB.
+# Read-only: Plex consumes the NFO files Jellyfin writes and writes no metadata.
+Volume=/var/lib/media-meta/view:/mnt/entropy:ro
 PublishPort=32400:32400
 
 [Service]
+# Refuse to start until the bind source is a real mount: Plex blind is how paths
+# get marked missing in its own database. Both the view and the array under it
+# must answer — scripts/wait-for-mount.sh names the 2026-10-31 incident.
+ExecStartPre=/home/dank/serverAppConfigs/scripts/wait-for-mount.sh /var/lib/media-meta/view /mnt/entropy
 Restart=always
 RestartSec=5
 
+# See the jellyfin unit for the reasoning: a section scan gets a LOW weight
+# (default 100) so a walk of 50k files loses the array to playback and to every
+# other container under this user. Inert until user@1000.service holds the io
+# controller ([[Quadlet Lifecycle]]).
+IOWeight=10
+
 [Install]
 WantedBy=default.target

dankserver/romm/quadlet/romm-mariadb.container

@@ -14,7 +14,7 @@ After=network.target
 
 [Container]
 ContainerName=romm-mariadb
-Image=docker.io/library/mariadb:11
+Image=docker.io/library/mariadb:11@sha256:c4124d1afa875e47f2892edf26b482fa54f796e2f342d3717a04ca091a22a9bd
 Network=dankserver_appnet:alias=mariadb
 EnvironmentFile=/home/dank/Containers/romm/env
 Environment=MARIADB_DATABASE=romm

dankserver/romm/quadlet/romm-redis.container

@@ -12,7 +12,7 @@ After=network.target
 
 [Container]
 ContainerName=romm-redis
-Image=docker.io/library/redis:7-alpine
+Image=docker.io/library/redis:7-alpine@sha256:8da19c7399dca900c6822a1cf30f9d2285585e2c4b457ff4095b0f4500054d3f
 Network=dankserver_appnet:alias=redis
 Volume=/home/dank/Containers/romm/redis:/data
 HealthCmd=redis-cli ping

dankserver/romm/quadlet/romm.container

@@ -18,7 +18,7 @@ After=romm-mariadb.service romm-redis.service network.target
 
 [Container]
 ContainerName=romm
-Image=ghcr.io/rommapp/romm:latest
+Image=ghcr.io/rommapp/romm:latest@sha256:8677fb7b81b1d3db20b849e989a1dadc2a11159e51eb34a2acdcb01102274edf
 Network=dankserver_appnet
 EnvironmentFile=/home/dank/Containers/romm/env
 Environment=DB_HOST=mariadb

dankserver/tautulli/quadlet/tautulli.container

@@ -4,7 +4,7 @@ After=network-online.target
 Wants=network-online.target
 
 [Container]
-Image=lscr.io/linuxserver/tautulli:v2.18.1-ls245
+Image=lscr.io/linuxserver/tautulli:v2.18.2-ls250@sha256:529c7eabcc40554c1dc48f33f1f3cc3b1438462d73e0ec2dac8ac0b66aeeb8d4
 ContainerName=tautulli
 Network=dankserver_appnet:alias=tautulli
 Environment=PUID=0

frankbook-pro/gluetun/quadlet/gluetun.container

@@ -19,7 +19,7 @@ Description=Gluetun VPN tunnel (FrankBook-Pro podman machine)
 
 [Container]
 ContainerName=gluetun
-Image=docker.io/qmcgaw/gluetun:latest
+Image=docker.io/qmcgaw/gluetun:latest@sha256:c2ee4191762fca6b6a3c3359a731198a95d9c9af4db32d466e223bf3a84e779b
 AddCapability=NET_ADMIN
 AddDevice=/dev/net/tun:/dev/net/tun
 Environment=VPN_SERVICE_PROVIDER=${VPN_SERVICE_PROVIDER}

frankbook-pro/lidarr/quadlet/lidarr.container

@@ -15,7 +15,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=lidarr
-Image=lscr.io/linuxserver/lidarr:latest
+Image=lscr.io/linuxserver/lidarr:latest@sha256:d8549ff9ea29b4015c32257360652c1000c31ea471a2b3f0835ae77292faf35b
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/prowlarr/quadlet/prowlarr.container

@@ -24,7 +24,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=prowlarr
-Image=lscr.io/linuxserver/prowlarr:latest
+Image=lscr.io/linuxserver/prowlarr:latest@sha256:b3b00047ed20f6ce2b16780145cb6a0acb51c9e28ea6aa6f5dcd33c7034f1797
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/qbittorrent/quadlet/qbittorrent.container

@@ -29,7 +29,7 @@ Network=gluetun.container
 # Pinned to the last 4.x line: Readarr's retired qB client requires the
 # qB 4.x login response (HTTP 200, body "Ok."); qB 5.x answers 204 with an
 # empty body, which fails Readarr's auth check. All other clients accept 4.x.
-Image=lscr.io/linuxserver/qbittorrent:4.6.7
+Image=lscr.io/linuxserver/qbittorrent:4.6.7@sha256:55f15d44396315551f87294a176efae733b16e283f38980308e46073950257c6
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/radarr/quadlet/radarr.container

@@ -15,7 +15,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=radarr
-Image=lscr.io/linuxserver/radarr:latest
+Image=lscr.io/linuxserver/radarr:latest@sha256:fc0ae3c50f8128b97e84381903ec8d6845c3a569641cb7117c124376cccb57c1
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/readarr/quadlet/readarr.container

@@ -19,7 +19,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=readarr
-Image=lscr.io/linuxserver/readarr:amd64-1.0.980
+Image=lscr.io/linuxserver/readarr:amd64-1.0.980@sha256:a95e82dbb0eb2bb43de4c150f1dab9dd821306c67ea0b418983a957e731f2b61
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

frankbook-pro/sonarr/quadlet/sonarr.container

@@ -16,7 +16,7 @@ After=gluetun.service
 
 [Container]
 ContainerName=sonarr
-Image=lscr.io/linuxserver/sonarr:latest
+Image=lscr.io/linuxserver/sonarr:latest@sha256:889dcc58c6aea859033985894b519b2e6b1e55d92527ed123f9f52e42ae7c97b
 Environment=PUID=0
 Environment=PGID=0
 Environment=TZ=America/Los_Angeles

scripts/.AGENTTRASH/20260920-llama-layersplit/bench-spec-ab.py.llamacpp-layersplit

@@ -1,309 +0,0 @@
-#!/usr/bin/env python3
-"""bench-spec-ab.py — settle "which proposer should this endpoint use?" with data.
-
-Runs one payload through several speculative-decoding configurations of the same
-binary, one at a time, with the unit stopped between runs: on a single-GPU host
-there is no room for two copies of a 29 GiB model, and the benchmarking policy
-applies. Every configuration gets identical prompts at temperature 0, and the
-greedy text is compared across them — speculation may buy speed, never change
-the answer.
-
-    bench-spec-ab.py <env-file> <serve-script> [options]
-    bench-spec-ab.py /home/dank/serverAppConfigs/scripts/frank-medium.env \
-                     /home/dank/serverAppConfigs/scripts/serve-frank-medium.sh \
-                     --configs "dflash=draft-dflash@7;ngram=ngram-mod@64;chain=draft-dflash,ngram-mod@7"
-
-Config syntax: `name=SPEC_TYPE[@n_max][|ENV=VAL|ENV=VAL]`, entries joined by `;`.
-The systemd unit is restored in a finally block, so it comes back on whatever the
-env file says even if a configuration crashes the harness.
-
-THREE SHAPES, because a single one answers the wrong question. A proposer can
-only draft text it has seen, so the shape decides the verdict:
-
-  prose       a 1k prompt asking for one sentence. Nothing to copy and nothing
-              repetitive, so only a model-backed proposer can help: this is the
-              shape that compares drafters.
-  echo        a ~1.5k passage of unique lines, "repeat it back verbatim". The
-              output IS the prompt, which is ngram-mod's home turf.
-  structured  "25 JSON records, one per line" — repetitive OUTPUT with no prompt
-              overlap, which is what an ngram matcher is really for in an
-              agentic fleet (config edits, tables, record lists).
-
-echo and structured disable thinking (`chat_template_kwargs`), otherwise the
-model thinks the answer into `reasoning_content`, `content` comes back empty and
-the cross-configuration identity check passes vacuously — which is exactly how
-this harness first "verified" an echo it never looked at.
-
-Results on Dankserver (frank-medium payload, 2026-09-16, temperature 0). Decode:
-
-  shape            dflash=7   ngram-mod(48/64)   chain        (tok/s)
-  prose 1k/512        43.8        17.7 (0 drafts)   43.7
-  echo 1.5k/400       76.8       102.5             200.6
-  structured/400      91.1        17.8 (0 drafts)   91.2
-  identity            70.4        17.8 (0 drafts)   70.4
-
-`draft-mtp,draft-dflash` fails at load (a chain has ONE draft context and MTP
-builds against whatever model that context holds); ngram-mod has no such
-constraint — it is draftless and joins the chain unconditionally.
-"""
-import argparse
-import json
-import os
-import re
-import subprocess
-import sys
-import time
-import urllib.request
-
-FILLER = ("The quick brown fox jumps over the lazy dog near the river bank. "
-          "A cache is a component that stores data so future requests are faster. ")
-TOKENS_PER_REP = 28
-UNIT = "frank-medium.service"
-MODEL = "frank-medium"
-SPEC_GREP = ("adding speculative implementation|- n_max=|- block_size=|creating MTP|"
-             "draft acceptance")
-
-DEFAULT_CONFIGS = [
-    ("none", {"SPEC_TYPE": "none"}),
-    ("mtp-n3", {"SPEC_TYPE": "draft-mtp", "SPEC_DRAFT_N_MAX": "3"}),
-    ("mtp-n7", {"SPEC_TYPE": "draft-mtp", "SPEC_DRAFT_N_MAX": "7"}),
-    ("dflash-n7", {"SPEC_TYPE": "draft-dflash", "SPEC_DRAFT_N_MAX": "7"}),
-]
-
-WORDS = ["latency", "throughput", "cache", "adapter", "scheduler", "allocator",
-         "queue", "kernel", "buffer", "shard", "replica", "window"]
-
-
-def echo_passage(lines=90):
-    """Unique lines: no long span repeats inside the prompt, so an n-gram can
-    only fire when the OUTPUT copies the INPUT."""
-    return "\n".join(
-        "Record %03d: the %s of subsystem %d reports state %d with checksum %05d."
-        % (i, WORDS[i % len(WORDS)], i % 7, i % 3, (i * 7919) % 100000)
-        for i in range(lines))
-
-
-ECHO = (echo_passage() + "\n\nRepeat the passage above verbatim, every line, exactly as "
-        "written, with no commentary before or after it.")
-STRUCTURED = ("Output exactly 25 JSON records, one per line, no prose and no code fence. "
-              'Each line must look like {"id": N, "state": "active", "region": "us-west-2"} '
-              "with N running from 1 to 25.")
-PROSE = FILLER * (1000 // TOKENS_PER_REP) + "\n\nReply with a single short sentence."
-IDENTITY = "List the first five prime numbers, comma separated, then stop."
-NO_THINK = {"chat_template_kwargs": {"enable_thinking": False}}
-
-
-def log(msg, logfile):
-    line = "[" + time.strftime("%H:%M:%S") + "] " + str(msg)
-    print(line, flush=True)
-    with open(logfile, "a") as fh:
-        fh.write(line + "\n")
-
-
-def sh(cmd):
-    return subprocess.run(cmd, shell=True, capture_output=True, text=True).stdout.strip()
-
-
-def parse_configs(spec):
-    """`name=SPEC_TYPE[@n_max][|KEY=VALUE]...`, entries joined by ';'.
-
-    KEY=VALUE parts override any env file key, which is how an impl's own window
-    (SPEC_NGRAM_N_MIN/MAX, for instance) gets swept without hand-editing env
-    files."""
-    out = []
-    for chunk in spec.split(";"):
-        chunk = chunk.strip()
-        if not chunk:
-            continue
-        name, _, rest = chunk.partition("=")
-        over = {}
-        if "|" in rest:
-            rest, _, extras = rest.partition("|")
-            for item in extras.split("|"):
-                if "=" in item:
-                    k, _, v = item.partition("=")
-                    over[k.strip()] = v.strip()
-        n_max = None
-        if "@" in rest:
-            rest, _, n_max = rest.partition("@")
-        over["SPEC_TYPE"] = rest.strip()
-        if n_max:
-            over["SPEC_DRAFT_N_MAX"] = n_max.strip()
-        out.append((name.strip(), over))
-    return out
-
-
-def write_env(src, name, overrides):
-    """The env file with this configuration's overrides applied."""
-    path = "/tmp/spec-ab-" + name.replace("/", "_") + ".env"
-    with open(src) as fh:
-        lines = fh.read().splitlines()
-    out = []
-    for line in lines:
-        for k, v in overrides.items():
-            if line.startswith(k + "="):
-                line = k + "=" + v
-                break
-        out.append(line)
-    with open(path, "w") as fh:
-        fh.write("\n".join(out) + "\n")
-    return path
-
-
-def post(base, body, timeout=1800):
-    req = urllib.request.Request(
-        base + "/v1/chat/completions", data=json.dumps(body).encode(),
-        headers={"Content-Type": "application/json"})
-    with urllib.request.urlopen(req, timeout=timeout) as r:
-        return json.load(r)
-
-
-def vram():
-    out = sh("rocm-smi --showmeminfo vram 2>/dev/null | grep 'Used Memory'")
-    return [round(int(x) / 1e9, 2) for x in re.findall(r":\s+(\d+)\s*$", out, re.M)][:2]
-
-
-def wait_health(base, timeout=420):
-    t0 = time.time()
-    while time.time() - t0 < timeout:
-        if not sh("pgrep -x llama-server >/dev/null && echo up"):
-            return False
-        try:
-            with urllib.request.urlopen(base + "/health", timeout=5) as r:
-                if r.status == 200 and json.load(r).get("status") == "ok":
-                    return True
-        except Exception:
-            time.sleep(3)
-    return False
-
-
-def stop_unit():
-    sh("sudo systemctl stop " + UNIT)
-    sh("pkill -x llama-server")
-    for _ in range(40):
-        if not sh("pgrep -x llama-server || true"):
-            return
-        time.sleep(1)
-
-
-def restore_unit(base, logfile):
-    """Bring the endpoint back on the deployed configuration. Runs in a
-    finally, because a harness that can leave production down is a hazard."""
-    log("restoring " + UNIT, logfile)
-    sh("sudo systemctl start " + UNIT)
-    for _ in range(120):
-        try:
-            with urllib.request.urlopen(base + "/health", timeout=5) as r:
-                if json.load(r).get("status") == "ok":
-                    log(UNIT + " healthy again", logfile)
-                    return True
-        except Exception:
-            time.sleep(5)
-    log("WARNING: " + UNIT + " did not come back healthy -- check it by hand", logfile)
-    return False
-
-
-def run_shape(base, prompt, max_tokens, label, extra=None):
-    body = {"model": MODEL, "messages": [{"role": "user", "content": prompt}],
-            "max_tokens": max_tokens, "temperature": 0.0}
-    if extra:
-        body.update(extra)
-    d = post(base, body)
-    tm = d["timings"]
-    msg = d["choices"][0]["message"]
-    content = (msg.get("content") or "").strip()
-    row = {"shape": label,
-           "prompt_n": tm["prompt_n"],
-           "prefill_tps": round(1000 * tm["prompt_n"] / tm["prompt_ms"], 1),
-           "predicted_n": tm["predicted_n"],
-           "decode_tps": round(tm["predicted_per_second"], 2),
-           "draft_n": tm.get("draft_n", 0),
-           "accepted": tm.get("draft_n_accepted", 0),
-           "answer": content,
-           "reasoning_len": len(msg.get("reasoning_content") or "")}
-    if label.startswith("echo"):
-        # How much of the answer really is the passage: a configuration that
-        # "wins" by answering something else is not a win.
-        want = {l.strip() for l in echo_passage().splitlines()}
-        got = [l.strip() for l in content.splitlines() if l.strip()]
-        row["copy_ratio"] = round(sum(1 for l in got if l in want) / len(got), 3) if got else 0.0
-    return row
-
-
-def measure(base):
-    run_shape(base, FILLER * (4000 // TOKENS_PER_REP) +
-              "\n\nReply with a single short sentence.", 32, "warmup")
-    return [
-        run_shape(base, PROSE, 512, "prose 1k/512"),
-        run_shape(base, ECHO, 400, "echo 1.5k/400", NO_THINK),
-        run_shape(base, STRUCTURED, 400, "structured/400", NO_THINK),
-        run_shape(base, IDENTITY, 192, "identity"),
-    ]
-
-
-def main():
-    ap = argparse.ArgumentParser()
-    ap.add_argument("env_file")
-    ap.add_argument("serve_script")
-    ap.add_argument("--base-url", default="http://127.0.0.1:7770")
-    ap.add_argument("--log", default="/tmp/bench-spec-ab.log")
-    ap.add_argument("--configs", default=None,
-                    help="name=SPEC_TYPE[@n_max][|ENV=VAL] joined by ';' "
-                         "(default: the four configs measured on 2026-09-16)")
-    ap.add_argument("--json", default="/tmp/bench-spec-ab.json")
-    args = ap.parse_args()
-
-    configs = parse_configs(args.configs) if args.configs else DEFAULT_CONFIGS
-    # Absolute paths: the launcher must not depend on the caller's cwd, and a
-    # relative path plus a `cd` to its own directory double-counts the prefix.
-    env_file = os.path.abspath(args.env_file)
-    serve_script = os.path.abspath(args.serve_script)
-    base, logfile = args.base_url, args.log
-    results = {}
-    log("spec A/B start: " + ", ".join(n for n, _ in configs) +
-        " (unit " + UNIT + " stopped for the duration)", logfile)
-    try:
-        stop_unit()
-        for name, over in configs:
-            env_path = write_env(env_file, name, over)
-            logf = "/tmp/spec-ab-" + name.replace("/", "_") + ".log"
-            sh("FRANK_MEDIUM_ENV_FILE=" + env_path + " setsid bash " + serve_script +
-               " > " + logf + " 2>&1 < /dev/null &")
-            if not wait_health(base):
-                log(name + ": FAILED to become healthy -- " + sh("tail -3 " + logf), logfile)
-                results[name] = {"error": "not healthy", "tail": sh("tail -6 " + logf)}
-                stop_unit()
-                continue
-            rows = measure(base)
-            results[name] = {"vram_gb": vram(), "rows": rows,
-                             "spec_log": sh("grep -E '" + SPEC_GREP + "' " + logf + " | tail -4")}
-            for r in rows:
-                log(name + " | " + r["shape"] + " prefill " + str(r["prefill_tps"]) +
-                    " tok/s | decode " + str(r["decode_tps"]) + " tok/s | draft " +
-                    str(r["draft_n"]) + "/" + str(r["accepted"]) +
-                    (" (" + str(round(100.0 * r["accepted"] / r["draft_n"])) + " %)"
-                     if r["draft_n"] else "") +
-                    (" | copy " + str(r["copy_ratio"]) if "copy_ratio" in r else "") +
-                    (" | EMPTY ANSWER" if not r["answer"] else ""), logfile)
-            log(name + " | vram " + str(results[name]["vram_gb"]), logfile)
-            stop_unit()
-    finally:
-        restore_unit(base, logfile)
-
-    with open(args.json, "w") as fh:
-        json.dump(results, fh, indent=2)
-    for shape in ("prose 1k/512", "echo 1.5k/400", "structured/400", "identity"):
-        texts = [r["answer"] for v in results.values() if "rows" in v
-                 for r in v["rows"] if r["shape"] == shape]
-        if any(not t for t in texts):
-            log("WARNING: '" + shape + "' produced an empty answer in some configuration -- "
-                "its identity check proves nothing", logfile)
-        elif len(set(texts)) > 1:
-            log("WARNING: configurations disagree on greedy text for '" + shape +
-                "' -- speculation is changing answers", logfile)
-    log("done; results in " + args.json, logfile)
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())

scripts/.AGENTTRASH/20260920-llama-layersplit/frank-medium.env.llamacpp-layersplit

@@ -1,318 +0,0 @@
-# Tunables for frank-medium (orcarouter/Qwen3.8-27B-Uncensored-GGUF Q8_0 +
-# z-lab/Qwen3.8-27B-DFlash2-GGUF Q4_K_M drafter), mainline llama.cpp on
-# Dankserver, 2x AMD Radeon AI PRO R9700 (gfx1201).  Since 2026-09-16 this is
-# the SOLE LLM runtime on the box: the vllm-radiance replica pair and its
-# routing proxy are retired.
-#
-# Hardware: two R9700 (Navi 48, RDNA4, 32,624 MiB each), no XGMI, different
-# IOMMU groups -- every cross-card byte goes over PCIe.  The Raphael iGPU
-# (gfx1036/Radeon 610M) enumerates as HIP device 2 and is hidden below so
-# nothing can drift onto shared system RAM.
-#
-# WHY LAYER SPLIT AND NOT TENSOR (operator call, 2026-09-16): tensor parallel
-# needs a cross-card allreduce per layer, and this host cannot dispatch one.
-# RCCL's kernels carry a hidden hostcall-buffer parameter, and ROCr refuses it
-# on a device without PCIe atomics -- the second card sits behind the B650
-# chipset bridges (AtomicOpsCap: Routing-, read-only), so every collective that
-# touches it dies with hipErrorIllegalState.  Measured on this box 2026-09-15
-# (llama-bench, pp4096 / tg128, f16 KV, fa on):
-#
-#   single R9700    1160.9 / 19.42
-#   layer  2x       1991.2 / 18.76      (859.1 / 17.64 at depth 32768)
-#   tensor 2x        271.8 / 26.26      (no RCCL: butterfly fallback, -7x prefill)
-#
-# Layer split distributes layers in order; only the activation at the boundary
-# crosses the wire, once per forward pass.  That is the "pipeline parallelism"
-# this service wanted, and it needs no collective at all.
-#
-# Runtime: mainline llama.cpp master fb27a525 (2026-09-16), gfx1201, built by
-# scripts/build-llama-rdna4.sh against a private ROCm 7.14.0a20260624 toolchain
-# that is bundled next to the binary (RPATH $ORIGIN/../lib, no LD_LIBRARY_PATH).
-# The ref is pinned by TWO features: DFlash2 (ggml-org/llama.cpp#27342 -- the
-# drafter is detected from its GGUF) and qwen35 MTP.  Do not float it.
-#
-# Model: orcarouter/Qwen3.8-27B-Uncensored-GGUF @ Q8_0, 27.0 GiB, arch qwen35
-# (verified from the GGUF header 2026-09-19: 262144 trained window, 24 heads /
-# 4 KV heads, nextn_predict_layers=1).  The file ALSO carries the model's MTP
-# head (blk.64.nextn.*), so --spec-type draft-mtp is available without a second
-# copy in VRAM -- one SPEC_TYPE change, the drafter below stays on disk.
-#
-# Drafter: z-lab/Qwen3.8-27B-DFlash2-GGUF @ Q4_K_M, 1.06 GiB (operator call
-# 2026-09-19: the Q4 rung -- the drafter's job is throughput, not output
-# quality, and the target verifies every drafted token).  5 layers, hidden
-# 5120, a block-diffusion proposal (block_size 8) under a 2048-token sliding
-# window (dflash.attention.sliding_window=2048, verified from the header).
-# The window is what makes it cheap HERE: its KV is bounded at 2048 positions
-# (~40 MiB) instead of spanning the context (see SIZING).
-#
-# Architecture (GGUF arch qwen35): 64 layers as 16 x (3 x (Gated DeltaNet ->
-# FFN) + 1 x (Gated Attention -> FFN)) -- 48 linear-attention layers whose
-# per-sequence state is CONSTANT-SIZE, 16 full-attention layers at 4 KV heads x
-# 256 head_dim.  A token therefore costs 2 x 4 x 256 x 2 B = 64 KiB of KV at f16
-# in the attention layers only, plus ~0.16 GiB per sequence of f32 DeltaNet
-# state at any depth.
-#
-# SIZING, the deployed shape (32:33 / ctx 327680 / 6144x512 / two slots /
-# DFlash2 Q4_K_M), measured 2026-09-19 after the model swap (rocm-smi):
-#
-#   card 0 (x16)  26.9 GiB used, 5.7 GiB free
-#   card 1 (x1)   27.8 GiB used, 4.8 GiB free
-#
-# The predecessor's measured table (rocm-smi, 2026-09-16, UD-Q8_K_XL target)
-# stays as the calibration history:
-#
-#   CTX     split  batch  slots  drafter  GPU 0 free  GPU 1 free   note (ubatch 1536)
-#   262144   1,1   2048   1      DFlash2   8.64 GiB    4.43 GiB   day's start
-#   262144  39,26  6144   2      DFlash2   2.42 GiB    7.20 GiB
-#   262144  38,27  6144   2      DFlash2   3.85 GiB    5.77 GiB
-#   262144  37,28  6144   2      DFlash2   4.28 GiB    5.34 GiB
-#   262144  36,29  6144   2      DFlash2   4.71 GiB    4.91 GiB
-#   262144  35,30  6144   2      DFlash2   5.14 GiB    4.48 GiB
-#   262144  40,25  6144   2      DSpark    1.87 GiB    1.86 GiB   (retired)
-#
-# ...and the same deployed shape re-measured at ubatch 512, after llama-bench
-# showed 512 is the throughput optimum and costs 3.71 GiB less in total (see the
-# batch block below):
-#
-#   262144  36,29  6144   512    2      DFlash2   6.01 GiB    7.32 GiB   ubatch only
-#   262144  35,30  6144   512    2      DFlash2   6.44 GiB    6.90 GiB
-#
-# ONE -ts STEP IS ONE LAYER, AND LAYERS ARE NOT THE SAME SIZE.  This is a hybrid
-# stack -- 16 x (3 Gated DeltaNet + 1 Gated Attention) blocks -- so moving a
-# DeltaNet layer shifts ~0.43 GiB while an attention layer shifts ~1.43 GiB
-# (0.45 of weights plus ~1.0 GiB of its own f16 KV at 262144).  Both step sizes
-# were measured, which is why the balance is found by measurement rather than by
-# interpolating between splits.
-#
-# WHY THE SPLIT IS 32:33 (operator call, 2026-09-19).  The operator asked for
-# the tensors BALANCED across the two cards, which for 65 layers is 32:33 --
-# the most even split that exists.  The predecessor's 35:30 skew existed to lean
-# work onto the x16 card (ROCm0), because ROCm1's Gen4 x1 chipset path made it
-# the 98 % utilization bottleneck; the measured trade of the balanced point is
-# that the x1 card runs hotter while the x16 card idles a little more, and the
-# operator accepted that for symmetry.  Do not re-skew without asking.
-#
-# THE TWO CARDS' PATHS ARE NOT SYMMETRIC (measured, 2026-09-17): ROCm0
-# (03:00.0) hangs off CPU root port 00:01.1 at Gen4 x16 end to end (~31.5 GB/s);
-# ROCm1 (0b:00.0) rides the B650 chipset through bridges that each negotiate
-# Gen4 x1 (~1.97 GB/s).  The layer-split boundary itself is not the cost
-# (~5.2 MB of activation per 512-token ubatch rides the wire); the x1 card is
-# COMPUTE-bound, not PCIe-bound.
-#
-# A FAULT TO WATCH.  A 39:26 split, at 1x batch / 1 slot, died on its eighth
-# request: the amdgpu driver logged SDMA0 UTCL2 page faults and the engine
-# surfaced `ROCm error: an illegal memory access was encountered` -> ggml_abort,
-# i.e. a fault in the cross-card boundary copy, this layer split's hot path.  It
-# has not reproduced since, but the signature is worth recognising -- it is NOT
-# an OOM, and no amount of headroom prevents it.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE (HIP reads
-# those bare vars; 2026-08-13 incident).  llama.cpp takes --host/--port/--temp
-# as flags only.
-
-# llama-server: mainline fb27a525 built for gfx1201 by scripts/build-llama-rdna4.sh.
-LLAMA_BIN=/home/dank/GitPackages/llama.cpp-dflash2/build-rdna4-rocm714/bin/llama-server
-
-# Payload, fetched with scripts/download-frank-medium-gguf.sh.
-MODEL_DIR=/home/dank/models/Qwen3.8-27B-Uncensored-GGUF
-MODEL_FILE=Qwen3.8-27B-Uncensored-Q8_0.gguf
-# The f16 vision projector, same repo as the target.  llama-server loads it via
-# the explicit --mmproj flag (no autoload in this build); the serve script
-# refuses to start without it when vision is enabled, so a missing file is a
-# deploy error, not a text-only server that pretends to be multimodal.
-MM_PROJ_FILE=mmproj-Qwen3.8-27B-Uncensored-f16.gguf
-DRAFT_MODEL_DIR=/home/dank/models/Qwen3.8-27B-DFlash2-GGUF
-DRAFT_MODEL_FILE=Qwen3.8-27B-DFlash2-Q4_K_M.gguf
-
-# Fleet identity.  7770 is the fleet's dankserver endpoint; the alias is the id
-# at /v1/models and what every client asks for.
-ALIAS=frank-medium
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-# Device placement.  HIP_VISIBLE_DEVICES hides the Raphael iGPU (HIP device 2)
-# so nothing can drift onto shared system RAM; DEVICES is what llama.cpp splits
-# across, and neither of the two cards has an XGMI link to the other.
-HIP_VISIBLE_DEVICES=0,1
-DEVICES=ROCm0,ROCm1
-SPLIT_MODE=layer
-
-# 32:33 -- balanced (operator call 2026-09-19): 65 layers split as evenly as
-# they can be, ROCm1 (the last-layers card, which also carries the drafter and
-# the output layers) holding the extra one.  See the WHY THE SPLIT IS 32:33
-# block above for the trade against the predecessor's 35:30 x16-lean.
-TENSOR_SPLIT=32,33
-
-NGL=999
-# Auto-fit has no business resizing a context we set explicitly.
-FIT=off
-FLASH_ATTN=on
-
-# 327680 positions over TWO slots, so each conversation gets 163840 --
-# --parallel DIVIDES --ctx-size, so more slots would shrink every
-# conversation rather than grow the cache.  163840 is inside the checkpoint's
-# trained 262144 window, so the whole pool is trained territory (no rope
-# extrapolation, unlike the predecessor's 393216).
-CTX_SIZE=327680
-PARALLEL=2
-
-# MEASURED 2026-09-16 with scripts/bench-batch-ubatch.sh on this box: llama-bench,
-# a 64k prefill plus a 128-token decode with 64k of KV already resident, 3 reps,
-# one invocation per cell, the deployed split and f16 KV.  --ubatch-size is the
-# physical batch the graph is built at -- and the only one of the two knobs that
-# costs VRAM:
-#
-#   batch  ubatch   prefill tok/s        GPU 0 / GPU 1 free
-#   6144   1536    1164.96 +- 2.30      10.28 / 11.71 GiB
-#   6144    768    1135.03 +- 1.09      11.29 / 13.28 GiB
-#   6144    512    1192.93 +- 0.91      11.63 / 13.81 GiB   <- deployed
-#   6144    384    1068.04 +- 0.79      11.80 / 14.07 GiB
-#   6144    256    1045.98 +- 1.69      11.97 / 14.33 GiB
-#   4096   1536    1161.90 +- 0.96      10.28 / 11.71 GiB
-#   2048   1536    1170.23 +- 0.86      10.28 / 11.71 GiB
-#   2048    512    1193.88 +- 1.01      11.63 / 13.81 GiB
-#
-# THE PLATEAU STARTS AT 512.  512 -> 1536 buys ~2 % of prefill -- inside the
-# run-to-run spread, and the 512 cells were the faster pair in BOTH batch
-# columns -- while costing 1.35 GiB on ROCm0 and 2.10 GiB on ROCm1, so the
-# deployment takes the cheap end.  BELOW 512 the SMs are no longer saturated:
-# 384 and 256 fall ~11 % and ~12 %.  The logical batch is free either way --
-# 2048, 4096 and 6144 land within 2 % of each other at a fixed ubatch and use
-# the SAME VRAM, because the compute buffers are sized by ubatch alone.
-#
-# The prefill figure is a property of the SHAPE, not of this knob: the same
-# sweep with no depth in front of it (depth 0) runs 1543 tok/s at ubatch 256 and
-# 1723 at 1536 -- the plateau is in the same place, and the ~32 % between the two
-# tables is what attending over 64k of resident KV costs.  Decode is 15.88 tok/s
-# at depth 65536 on EVERY ubatch (17.80 at depth 0), so this knob cannot touch
-# generation at all.
-#
-# 8192/2048 stays untested under this drafter (the "2020 MiB pp buffer fails on
-# ROCm1" note was measured under DSpark, when it had 0.08 GiB free), and there is
-# no longer a reason to want it: batch buys nothing measurable here.
-BATCH_SIZE=6144
-UBATCH_SIZE=512
-
-# Threads cover tokenization, sampling and HTTP only: every layer is on a GPU.
-NUM_THREADS=8
-THREAD_BATCH=8
-
-# f16 K/V: an agentic checkpoint is the wrong place to spend KV precision.
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-# Context checkpoints: 0 -- no per-slot KV snapshots at all.  The build's
-# default is 32 (this binary's --help), so the 0 below is a deliberate
-# deviation, not an inherited default: a checkpoint is a VRAM->host-RAM copy
-# of part of a slot's KV, taken so a partially-matching prompt can be restored
-# instead of re-prefilled.  This endpoint trades that away -- its reuse comes
-# from the slot prompt and from the RAM-side prompt cache below.  Stated
-# explicitly so the tunable stays visible rather than merely absent.
-CTX_CHECKPOINTS=0
-# PROMPT CACHE, HOST RAM -- this is the one cache tunable that is NOT VRAM.
-# --cache-ram caps the total bytes of saved prompt states
-# (server_prompt_cache, tools/server/server-task.cpp): update() evicts
-# oldest-first past the cap, and alloc() REFUSES outright any single state
-# bigger than the whole cap.  A state is the serialized KV of a whole sequence
-# plus its DeltaNet state plus the draft context's own KV, so at this shape it
-# costs ~68 KiB per token --
-#   16 full-attention layers x 4 kv heads x 256 dim x 2 B x 2 (K,V) = 64 KiB
-#   plus the draft context's window-bounded KV (a ~40 MiB constant for DFlash2)
-# -- which makes the cap a TOKEN budget in disguise: 16384 MiB holds ~240k
-# tokens, i.e. a FULL 163840-token slot (~10.6 GiB) with ~5 GiB of the budget
-# spare for a second entry.
-#
-# The cost is host RAM, allocated on demand and never pinned (plain heap
-# vectors), so no VRAM number above moves.  dankserver has 62 GiB beside the
-# media-stack co-tenants, so the cache is bounded rather than unlimited (-1):
-# the seam test refuses a budget over half the host's RAM.
-CACHE_RAM=16384
-
-# Sampling defaults for requests that send none -- the values the vLLM
-# predecessor served on this endpoint (`--override-generation-config`), so a
-# client sees no change across the runtime swap.  The model card's own
-# recommendation is temp 1.0 / top_p 0.95; the harness sets its own per model in
-# models.yml, so this is the floor, not the contract.
-TEMPERATURE=0.7
-TOP_P=0.95
-TOP_K=20
-MIN_P=0.0
-PRESENCE_PENALTY=0.0
-
-# Reasoning on, projected into reasoning_content (deepseek format) with no
-# budget: the model decides how long to think.
-REASONING=on
-REASONING_FORMAT=deepseek
-REASONING_BUDGET=-1
-
-# Chat template: empty = the one embedded in the GGUF (Qwen3.8's own).
-CHAT_TEMPLATE_FILE=
-CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true}'
-
-# Speculative decoding: the DFlash2 sidecar (operator call 2026-09-19).  The
-# target file also carries its own MTP head (nextn_predict_layers=1), so
-# draft-mtp is one SPEC_TYPE change away -- the drafter file stays on disk.
-# n_max 7 is the measured DFlash2 winner (see the table below); the drafter
-# rides ROCm1, the card that holds the last layers.
-SPEC_TYPE=draft-dflash
-SPEC_DRAFT_N_MAX=7
-SPEC_DRAFT_NGL=999
-SPEC_DRAFT_DEVICE=ROCm1
-SPEC_DRAFT_TYPE_K=f16
-SPEC_DRAFT_TYPE_V=f16
-
-# DFlash2 vs the model's own MTP head -- MEASURED 2026-09-16 on the predecessor
-# payload (temperature 0, 1k prompt / 512 out; the autoregressive baseline and
-# both MTP depths were run in one session, same binary, same prompts):
-#
-#   none            17.7 tok/s                     card1 26.07 GB
-#   draft-mtp  n=3  32.4 tok/s  58 % accepted       card1 29.35 GB
-#   draft-mtp  n=7  26.7 tok/s  33 % accepted       card1 29.65 GB
-#   draft-dflash 7  43.5 tok/s  41 % accepted       card1 29.42 GB
-#
-# All four produced IDENTICAL greedy text, so verification is lossless
-# whichever proposer runs.  DFlash2 is the faster proposer (2.46x over
-# autoregressive, 34 % over the best MTP).  The MTP head adds ~3.3 GB to the
-# card that holds it, against 1.06 GB for the Q4_K_M drafter's file -- at the
-# 327680 pool the drafter's window-bounded KV (~40 MiB) leaves headroom on
-# both cards, so the speed wins.
-#
-# THE TWO CANNOT BE CHAINED. `--spec-type draft-mtp,draft-dflash` dies at load:
-#   context type MTP requested but model doesn't contain MTP layers
-#   failed to create MTP context
-# A chain has ONE draft context, and MTP builds against whatever model that
-# context holds -- here the DFlash2 file, which has no MTP layers. MTP's head is
-# only loaded when MTP IS the draft model ("creating MTP draft context against
-# the target model ..."), so a chain of the two is a structural dead end, not a
-# tuning question. See serverAppConfigs-docs/LLM/frank-medium-llamacpp-dflash2.md.
-
-# ngram-mod: the draftless n-gram matcher (CPU hash table in host RAM, no VRAM,
-# no model file, no draft context).  It joins the chain unconditionally --
-# unlike MTP, which needs a draft context and therefore cannot share one with
-# DFlash2.  NOT CURRENTLY ACTIVE: SPEC_TYPE is draft-dflash alone, and the serve
-# script only passes --spec-ngram-mod-* when the type contains "ngram".  The
-# window below is retained because the DFlash2 + ngram chain was measured free
-# on prose and 2.6x on prompt-echo -- one SPEC_TYPE change brings it back.
-#
-# WINDOW MEASURED 2026-09-16 (chain at each window, decode tok/s):
-#
-#   n_min/n_max    prose 1k/512   prompt-echo 1.5k/400
-#   48/64          43.9           200.6
-#   16/32          36.0           161.0
-#    8/16          36.2           113.8
-#
-# The long window is the right one, and not only because it wins on echo: a
-# SHORT window makes the matcher propose on short fragments of ordinary prose,
-# where the proposals are rejected and the verification still costs -- which is
-# the "ngram hurts" result the fleet measured on other payloads twice before.
-# With 48/64 the chain is byte-identical to DFlash2 alone on prose (same 119
-# drafts / 49 accepted) and on the identity prompt (70/53).
-#
-# Do not shorten these without re-running scripts/bench-spec-ab.py: the
-# no-penalty property is what makes the chain safe as a default.
-SPEC_NGRAM_N_MATCH=24
-SPEC_NGRAM_N_MIN=48
-SPEC_NGRAM_N_MAX=64
-
-# Vision enabled: llama-server loads mmproj-Qwen3.8-27B-Uncensored-f16.gguf
-# (931 MiB, lands on ROCm0 -- the fit charges it there) via the explicit
-# --mmproj flag.  This keeps frank-medium multimodal across the model swap.
-NO_MMPROJ=0

scripts/.AGENTTRASH/20260920-llama-layersplit/frank-medium.service.llamacpp-layersplit

@@ -1,20 +0,0 @@
-[Unit]
-Description=llama.cpp Qwen3.8-27B Uncensored UD-Q8_K_XL + DFlash2 drafter (dankserver, frank-medium, 2x Radeon AI PRO R9700)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-# The engine pins staging buffers on the first card; keep the memlock budget
-# unbounded so an RLIMIT that is smaller than the split buffers cannot fail the
-# load.  Parity with the other LLM units on this fleet.
-LimitMEMLOCK=infinity
-Environment="FRANK_MEDIUM_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-medium.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-medium.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

scripts/.AGENTTRASH/20260920-llama-layersplit/serve-frank-medium.sh.llamacpp-layersplit

@@ -1,203 +0,0 @@
-#!/usr/bin/env bash
-# Serve ajgazin/Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF @ UD-Q8_K_XL as
-# frank-medium on Dankserver's two Radeon AI PRO R9700 (gfx1201), with the
-# z-lab DFlash2 block-diffusion drafter, using mainline llama.cpp.
-#
-# Runtime: llama.cpp master fb27a525 (2026-09-16), a gfx1201 HIP build that
-# bundles its own ROCm 7.14 runtime (RPATH $ORIGIN/../lib), produced by
-# scripts/build-llama-rdna4.sh.  Two features pin that ref: DFlash2
-# (ggml-org/llama.cpp#27342) and qwen35 MTP.  The charlie12345/ROCmFPX fork
-# this deployment replaced has neither (its tip is c49ebdb, 2026-08-22).
-#
-# Parallelism: --split-mode layer across both cards.  Tensor split would need a
-# cross-card allreduce and this host cannot dispatch one -- RCCL's kernels
-# require a hostcall buffer that ROCr refuses on a card without PCIe atomics,
-# and the second R9700 sits behind the chipset (AtomicOpsCap: Routing-).  Layer
-# split crosses the wire once per forward pass instead of once per layer.
-#
-# The vLLM replica pair and its routing proxy were retired with this cutover:
-# one process, one model, both cards.
-#
-# Tunables come from frank-medium.env unless FRANK_MEDIUM_ENV_FILE overrides it.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_MEDIUM_ENV_FILE:-$SCRIPT_DIR/frank-medium.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) ------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/llama.cpp-dflash2/build-rdna4-rocm714/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-GGUF}"
-: "${MODEL_FILE:=Swift-Qwen3.8-27B-Uncensored-Dynamic-MTP-UD-Q8_K_XL.gguf}"
-: "${DRAFT_MODEL_DIR:=/home/dank/models/Qwen3.8-27B-DFlash2-GGUF}"
-: "${DRAFT_MODEL_FILE:=Qwen3.8-27B-DFlash2-Q8_0.gguf}"
-: "${ALIAS:=frank-medium}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-
-# Devices.  HIP_VISIBLE_DEVICES hides the Raphael iGPU (HIP device 2) so nothing
-# can drift onto shared system RAM; DEVICES is what llama.cpp splits across.
-: "${HIP_VISIBLE_DEVICES:=0,1}"
-: "${DEVICES:=ROCm0,ROCm1}"
-: "${SPLIT_MODE:=layer}"
-: "${TENSOR_SPLIT:=1,1}"
-: "${NGL:=999}"
-: "${FIT:=off}"
-: "${FLASH_ATTN:=on}"
-
-: "${CTX_SIZE:=131072}"
-: "${PARALLEL:=1}"
-: "${BATCH_SIZE:=2048}"
-: "${UBATCH_SIZE:=512}"
-: "${NUM_THREADS:=8}"
-: "${THREAD_BATCH:=8}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${CTX_CHECKPOINTS:=8}"
-: "${CACHE_RAM:=8192}"
-
-# Sampling defaults for silent clients: the values the vLLM predecessor served.
-: "${TEMPERATURE:=0.7}"
-: "${TOP_P:=0.95}"
-: "${TOP_K:=20}"
-: "${MIN_P:=0.0}"
-: "${PRESENCE_PENALTY:=0.0}"
-
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${REASONING_BUDGET:=-1}"
-: "${CHAT_TEMPLATE_FILE:=}"
-: "${CHAT_TEMPLATE_KWARGS:={\"enable_thinking\":true,\"preserve_thinking\":true}}"
-
-# Speculative decoding: draft-dflash or draft-dspark (both are MODEL drafters --
-# a file, not a flag), or draft-mtp (the target GGUF's own MTP head, no draft
-# file).  The drafter's own tuning knobs (n-min, p-min, p-split, poll) are left
-# at the build's defaults: they were only ever passed for dspark, and dspark is
-# not the deployed drafter.
-: "${SPEC_TYPE:=draft-dflash}"
-: "${SPEC_DRAFT_N_MAX:=7}"
-: "${SPEC_DRAFT_NGL:=999}"
-: "${SPEC_DRAFT_DEVICE:=}"
-: "${SPEC_DRAFT_TYPE_K:=f16}"
-: "${SPEC_DRAFT_TYPE_V:=f16}"
-: "${SPEC_NGRAM_N_MATCH:=24}"
-: "${SPEC_NGRAM_N_MIN:=48}"
-: "${SPEC_NGRAM_N_MAX:=64}"
-
-NO_MMPROJ="${NO_MMPROJ:-0}"
-: "${MM_PROJ_FILE:=mmproj-BF16.gguf}"
-
-export HIP_VISIBLE_DEVICES
-
-MODEL="$MODEL_DIR/$MODEL_FILE"
-DRAFT_MODEL="$DRAFT_MODEL_DIR/$DRAFT_MODEL_FILE"
-
-if [[ ! -x "$LLAMA_BIN" ]]; then
-    echo "missing executable runtime: $LLAMA_BIN" >&2
-    echo "build it with: bash $SCRIPT_DIR/build-llama-rdna4.sh" >&2
-    exit 1
-fi
-if [[ ! -r "$MODEL" ]]; then
-    echo "missing or unreadable target model: $MODEL" >&2
-    echo "fetch it with: bash $SCRIPT_DIR/download-frank-medium-gguf.sh" >&2
-    exit 1
-fi
-if [[ "$NO_MMPROJ" != "1" ]]; then
-    MM_PROJ="$MODEL_DIR/$MM_PROJ_FILE"
-    if [[ ! -r "$MM_PROJ" ]]; then
-        echo "vision is enabled but the projector is missing: $MM_PROJ" >&2
-        echo "fetch it with: bash $SCRIPT_DIR/download-frank-medium-gguf.sh" >&2
-        exit 1
-    fi
-fi
-if [[ -n "$CHAT_TEMPLATE_FILE" && ! -r "$CHAT_TEMPLATE_FILE" ]]; then
-    echo "missing or unreadable chat template: $CHAT_TEMPLATE_FILE" >&2
-    exit 1
-fi
-
-# --- speculative decoding -------------------------------------------------
-SPEC_ARGS=()
-if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
-    SPEC_ARGS=(--spec-type "$SPEC_TYPE" --spec-draft-n-max "$SPEC_DRAFT_N_MAX")
-    if [[ "$SPEC_TYPE" == *dflash* || "$SPEC_TYPE" == *dspark* ]]; then
-        if [[ ! -r "$DRAFT_MODEL" ]]; then
-            echo "missing or unreadable draft model: $DRAFT_MODEL" >&2
-            exit 1
-        fi
-        SPEC_ARGS+=(
-            --spec-draft-model "$DRAFT_MODEL"
-            --spec-draft-ngl "$SPEC_DRAFT_NGL"
-            --spec-draft-type-k "$SPEC_DRAFT_TYPE_K"
-            --spec-draft-type-v "$SPEC_DRAFT_TYPE_V"
-        )
-    fi
-    # ngram-mod is draftless: it needs no draft context and its window is its
-    # own (--spec-ngram-mod-*), so it can ride in the chain beside a model
-    # drafter. It also costs no VRAM -- a CPU hash table.
-    if [[ "$SPEC_TYPE" == *ngram* ]]; then
-        SPEC_ARGS+=(
-            --spec-ngram-mod-n-match "$SPEC_NGRAM_N_MATCH"
-            --spec-ngram-mod-n-min "$SPEC_NGRAM_N_MIN"
-            --spec-ngram-mod-n-max "$SPEC_NGRAM_N_MAX"
-        )
-    fi
-    if [[ -n "$SPEC_DRAFT_DEVICE" ]]; then
-        SPEC_ARGS+=(--spec-draft-device "$SPEC_DRAFT_DEVICE")
-    fi
-fi
-
-# --- template + placement -------------------------------------------------
-TEMPLATE_ARGS=()
-if [[ -n "$CHAT_TEMPLATE_FILE" ]]; then
-    TEMPLATE_ARGS+=(--chat-template-file "$CHAT_TEMPLATE_FILE")
-fi
-TEMPLATE_ARGS+=(--chat-template-kwargs "$CHAT_TEMPLATE_KWARGS")
-
-PLACEMENT_ARGS=(--device "$DEVICES" --split-mode "$SPLIT_MODE" --tensor-split "$TENSOR_SPLIT")
-
-MMPROJ_ARGS=()
-if [[ "$NO_MMPROJ" == "1" ]]; then
-    MMPROJ_ARGS=(--no-mmproj)
-else
-    # No autoload in this build: a server without the flag starts text-only
-    # and answers image requests with a 500, so name the projector.
-    MMPROJ_ARGS=(--mmproj "$MM_PROJ")
-fi
-exec "$LLAMA_BIN" \
-    --model "$MODEL" \
-    --alias "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --jinja \
-    --gpu-layers "$NGL" \
-    --fit "$FIT" \
-    --parallel "$PARALLEL" \
-    --ctx-size "$CTX_SIZE" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --flash-attn "$FLASH_ATTN" \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --threads "$NUM_THREADS" \
-    --threads-batch "$THREAD_BATCH" \
-    --ctx-checkpoints "$CTX_CHECKPOINTS" \
-    --cache-ram "$CACHE_RAM" \
-    --cache-prompt \
-    --metrics \
-    --temp "$TEMPERATURE" \
-    --top-p "$TOP_P" \
-    --top-k "$TOP_K" \
-    --min-p "$MIN_P" \
-    --presence-penalty "$PRESENCE_PENALTY" \
-    --reasoning "$REASONING" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget "$REASONING_BUDGET" \
-    "${TEMPLATE_ARGS[@]}" \
-    "${PLACEMENT_ARGS[@]}" \
-    "${MMPROJ_ARGS[@]}" \
-    "${SPEC_ARGS[@]}"

scripts/.AGENTTRASH/bench-decode-threads-batch.py.strix-rocmfp4

@@ -1,192 +0,0 @@
-#!/usr/bin/env python3
-"""
-Decode throughput benchmark for frank-dragoon.
-Starts the server with a given --threads-batch value, sends an 8K+ token prompt,
-generates 256 tokens, measures generation tok/s.
-
-Each --threads-batch value requires a cold server load (~3 min).
-"""
-import json, time, urllib.request, urllib.error, subprocess, os, sys
-
-MODEL = "/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX/Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf"
-SERVE = "/home/dank/GitPackages/ROCmFPX/build-qwen38/bin/llama-server"
-PORT = 7770
-N_GEN = 256
-PROMPT_FILE = "/tmp/bench-prompts/prompt_code.txt"
-ENV_FILE = os.path.join(os.path.dirname(__file__), "frank-dragoon.env")
-SERVER_DIR = os.path.dirname(SERVE)
-ROCM_PATH = "/opt/rocm"
-
-def make_env():
-    """Build the same env as serve-frank-dragoon.sh."""
-    env = {**os.environ, "HSA_OVERRIDE_GFX_VERSION": "11.5.1", "HIP_VISIBLE_DEVICES": "0"}
-    
-    # Source env file for tunables
-    if os.path.exists(ENV_FILE):
-        with open(ENV_FILE) as f:
-            for line in f:
-                line = line.strip()
-                if line and not line.startswith("#") and "=" in line:
-                    k, v = line.split("=", 1)
-                    env[k] = v
-    
-    # Build LD_LIBRARY_PATH
-    lib_path = f"{SERVER_DIR}:{ROCM_PATH}/lib:{ROCM_PATH}/lib/rocm_sysdeps/lib:{ROCM_PATH}/lib/llvm/lib"
-    if os.environ.get("LD_LIBRARY_PATH"):
-        lib_path += f":{os.environ['LD_LIBRARY_PATH']}"
-    env["LD_LIBRARY_PATH"] = lib_path
-    env["ROCM_PATH"] = ROCM_PATH
-    
-    return env
-
-ENV = make_env()
-
-def kill_all():
-    subprocess.run(["pkill", "-9", "llama-server"], capture_output=True)
-    time.sleep(3)
-
-def wait_ready():
-    for i in range(600):
-        try:
-            r = urllib.request.urlopen(f"http://127.0.0.1:{PORT}/health", timeout=2)
-            if json.loads(r.read()).get("status") == "ok":
-                return True
-        except:
-            pass
-        time.sleep(1)
-    return False
-
-def send_request(prompt, max_tokens=N_GEN):
-    """Send chat completion, measure generation throughput."""
-    body = json.dumps({
-        "model": "frank-dragoon",
-        "messages": [{"role": "user", "content": prompt}],
-        "max_tokens": max_tokens,
-        "stream": False,
-        "temperature": 0.7,
-        "top_p": 0.8
-    }).encode()
-    
-    t0 = time.time()
-    req = urllib.request.Request(
-        f"http://127.0.0.1:{PORT}/v1/chat/completions",
-        data=body,
-        headers={"Content-Type": "application/json"},
-        method="POST"
-    )
-    r = urllib.request.urlopen(req, timeout=1200)
-    resp = json.loads(r.read())
-    wall = time.time() - t0
-    
-    usage = resp.get("usage", {})
-    pt = usage.get("prompt_tokens", 0)
-    gt = usage.get("completion_tokens", 0)
-    gtps = gt / wall if wall > 0 else 0
-    return pt, gt, wall, gtps
-
-def load_and_extend_prompt():
-    """Load prompt and extend to ~8K tokens if needed."""
-    with open(PROMPT_FILE) as f:
-        text = f.read()
-    
-    # Count approximate tokens (rough: ~4 chars per token for code)
-    approx_tokens = len(text) / 4.0
-    needed = 8200
-    
-    if approx_tokens < needed:
-        repeats = needed // max(int(approx_tokens), 1) + 1
-        text = (text + "\n") * repeats
-        words = text.split()[:needed]
-        text = " ".join(words)
-    
-    return text
-
-def main():
-    tb_values = [int(x) for x in sys.argv[1:]] if len(sys.argv) > 1 else [16, 32, 64, 128]
-    results = []
-    
-    prompt = load_and_extend_prompt()
-    n_words = len(prompt.split())
-    print(f"Prompt: {n_words} words (~{n_words} tokens), {len(prompt)} chars\n", flush=True)
-    
-    for tb in tb_values:
-        print(f"\n{'='*60}")
-        print(f"threads-batch = {tb}")
-        print(f"{'='*60}", flush=True)
-        
-        kill_all()
-        print("  Starting server...", flush=True)
-        
-        lib_path = ENV.get("LD_LIBRARY_PATH", "")
-        cmd = [
-            "/usr/bin/env",
-            "HSA_OVERRIDE_GFX_VERSION=11.5.1",
-            "HIP_VISIBLE_DEVICES=0",
-            f"LD_LIBRARY_PATH={lib_path}",
-            f"ROCM_PATH={ROCM_PATH}",
-            SERVE, "--model", MODEL, "--port", str(PORT), "--jinja",
-            "--device", "ROCm0", "--gpu-layers", "999", "--fit", "off",
-            "--threads", "16", "--threads-batch", str(tb),
-            "--parallel", "2", "--ctx-size", "131072",
-            "--batch-size", "4096", "--ubatch-size", "4096",
-            "--flash-attn", "on",
-            "--cache-type-k", "f16", "--cache-type-v", "f16",
-            "--cache-prompt", "--cache-idle-slots", "--metrics"
-        ]
-        
-        srv = subprocess.Popen(cmd, env=ENV, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True)
-        
-        ready = wait_ready()
-        if not ready:
-            print("  FAILED: server did not become ready", flush=True)
-            srv.terminate()
-            srv.wait()
-            for line in (srv.stdout.readlines() or [])[-20:]:
-                print(f"  LOG: {line.rstrip()}", flush=True)
-            continue
-        
-        print("  Server ready.", flush=True)
-        
-        # Warmup (small request)
-        try:
-            send_request("Hi", 16)
-        except Exception as e:
-            print(f"  Warmup failed: {e}", flush=True)
-            srv.terminate()
-            srv.wait()
-            continue
-        
-        # Benchmark
-        print(f"  Generating {N_GEN} tokens...", flush=True)
-        try:
-            pt, gt, wall, gtps = send_request(prompt, N_GEN)
-            print(f"  {gt}/{N_GEN} gen tokens in {wall:.1f}s = {gtps:.1f} tok/s")
-            print(f"  Prompt tokens: {pt}")
-            results.append({"tb": tb, "wall": wall, "gtps": gtps, "gt": gt, "pt": pt})
-        except Exception as e:
-            print(f"  FAILED: {e}", flush=True)
-        
-        srv.terminate()
-        srv.wait()
-        time.sleep(2)
-    
-    # Summary
-    print(f"\n{'='*60}")
-    print("SUMMARY")
-    print(f"{'='*60}")
-    for r in results:
-        print(f"  tb={r['tb']:>3}: {r['gt']} gen tokens, {r['wall']:.1f}s, {r['gtps']:.1f} tok/s")
-    
-    if results:
-        best = max(results, key=lambda r: r['gtps'])
-        print(f"\nBest: tb={best['tb']} at {best['gtps']:.1f} tok/s")
-    
-    with open("/tmp/bench_decode_results.txt", "w") as f:
-        f.write("tb,gen_tokens,wall_s,gen_tps,prompt_tokens\n")
-        for r in results:
-            f.write(f"{r['tb']},{r['gt']},{r['wall']:.1f},{r['gtps']:.1f},{r['pt']}\n")
-    
-    print(f"\nResults: /tmp/bench_decode_results.txt")
-
-if __name__ == "__main__":
-    main()

scripts/.AGENTTRASH/bench-ngram-mod.py.ik-llama.cpp

@@ -1,268 +0,0 @@
-#!/usr/bin/env python3
-"""
-Benchmark n-gram speculative decoding vs no-spec for frank-dragoon.
-
-Tests prompt-processing throughput with 16K token prompts (manageable request size).
-Code-heavy prompt (high n-gram redundancy) vs prose prompt (low redundancy).
-
-Usage:
-    # Generate prompts: python3 scripts/bench-ngram-mod.py generate /tmp/prompts/
-    # Run: python3 scripts/bench-ngram-mod.py /tmp/prompts/
-"""
-
-import json
-import os
-import sys
-import time
-import subprocess
-import urllib.request
-import urllib.error
-from pathlib import Path
-
-MODEL = "/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX/Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf"
-CHAT_TEMPLATE = "/home/dank/serverAppConfigs/scripts/chat-template.jinja"
-BUILD_DIR = "/home/dank/GitPackages/ROCmFPX/build-qwen38/bin"
-LLAMA_BIN = os.path.join(BUILD_DIR, "llama-server")
-
-# 16K tokens ~= 64KB text
-TARGET_PROMPT_TOKENS = 16000
-TOKEN_CHAR_RATIO = 4
-TARGET_PROMPT_BYTES = TARGET_PROMPT_TOKENS * TOKEN_CHAR_RATIO
-
-CONTEXT = 65536
-BATCH = 4096
-UBATCH = 4096
-THREADS = 16
-THREAD_BATCH = 32
-NGRAM_N_MAX = 24
-NGRAM_N_MIN = 4
-TEST_TOKENS = 128
-SERVER_WAIT = 300
-
-
-def start_server(port, spec_type):
-    cmd = [
-        LLAMA_BIN,
-        "--model", MODEL,
-        "--chat-template-file", CHAT_TEMPLATE,
-        "--jinja",
-        "--device", "ROCm0",
-        "--gpu-layers", "999",
-        "--parallel", "1",
-        "--ctx-size", str(CONTEXT),
-        "--batch-size", str(BATCH),
-        "--ubatch-size", str(UBATCH),
-        "--fit", "off",
-        "--flash-attn", "on",
-        "--cache-type-k", "f16",
-        "--cache-type-v", "f16",
-        "--threads", str(THREADS),
-        "--threads-batch", str(THREAD_BATCH),
-        "--cache-prompt",
-        "--cache-idle-slots",
-        "--metrics",
-        "--host", "127.0.0.1",
-        "--port", str(port),
-        "--temp", "0",
-    ]
-    if spec_type == "ngram-mod":
-        cmd.extend([
-            "--spec-type", "ngram-mod",
-            "--spec-ngram-mod-n-max", str(NGRAM_N_MAX),
-            "--spec-ngram-mod-n-min", str(NGRAM_N_MIN),
-        ])
-    else:
-        cmd.extend(["--spec-type", "none"])
-
-    env = os.environ.copy()
-    env["ROCM_PATH"] = "/opt/rocm"
-    env["LD_LIBRARY_PATH"] = f"{BUILD_DIR}:/opt/rocm/lib:/opt/rocm/lib/rocm_sysdeps/lib:/opt/rocm/lib/llvm/lib"
-    env["HSA_OVERRIDE_GFX_VERSION"] = "11.5.1"
-    env["HIP_VISIBLE_DEVICES"] = "0"
-
-    proc = subprocess.Popen(cmd, env=env, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-
-    print(f"  Waiting for server on port {port} (spec={spec_type})...")
-    for i in range(SERVER_WAIT):
-        try:
-            req = urllib.request.urlopen(f"http://127.0.0.1:{port}/health", timeout=2)
-            resp = json.loads(req.read().decode())
-            if resp.get("status") == "ok":
-                print(f"  Server ready after {i+1}s")
-                return proc
-        except:
-            time.sleep(1)
-
-    proc.terminate()
-    out, err = proc.communicate()
-    print(f"ERROR: Server failed to start in {SERVER_WAIT}s")
-    print(err.decode()[-2000:])
-    sys.exit(1)
-
-
-def run_test(prompt_text, spec_type, port):
-    """Send a request and extract prompt processing metrics."""
-    data = json.dumps({
-        "model": "frank-dragoon",
-        "messages": [{"role": "user", "content": prompt_text}],
-        "max_tokens": TEST_TOKENS,
-        "stream": False,
-        "temperature": 0,
-    }).encode()
-
-    req = urllib.request.Request(
-        f"http://127.0.0.1:{port}/v1/chat/completions",
-        data=data,
-        headers={"Content-Type": "application/json"},
-    )
-
-    start = time.monotonic()
-    resp = urllib.request.urlopen(req, timeout=600)
-    elapsed = time.monotonic() - start
-
-    result = json.loads(resp.read().decode())
-    timings = result.get("timings", {})
-    usage = result.get("usage", {})
-
-    return {
-        "prompt_tokens": usage.get("prompt_tokens", 0),
-        "prompt_ms": timings.get("prompt_ms", 0),
-        "prompt_per_second": timings.get("prompt_per_second", 0),
-        "prompt_per_token_ms": timings.get("prompt_per_token_ms", 0),
-        "predicted_per_second": timings.get("predicted_per_second", 0),
-        "total_time_s": elapsed,
-        "cache_n": timings.get("cache_n", 0),
-    }
-
-
-def main():
-    if len(sys.argv) < 2:
-        print(f"Usage: {sys.argv[0]} <prompt_dir>")
-        sys.exit(1)
-
-    prompt_dir = Path(sys.argv[1])
-    prompt_dir.mkdir(parents=True, exist_ok=True)
-
-    code_prompt_file = prompt_dir / "prompt_code.txt"
-    prose_prompt_file = prompt_dir / "prompt_prose.txt"
-
-    # Generate prompts if they don't exist
-    if not code_prompt_file.exists() or not prose_prompt_file.exists():
-        print("Generating prompts...")
-        # Generate deterministic prompts
-        # Code prompt: structured algorithms + data generation + config schemas
-        code_lines = []
-        for i in range(50):
-            code_lines.append(f"# Algorithm {i}\n")
-            code_lines.append(f"def algo_{i}(x, y):\n")
-            code_lines.append(f"    \"\"\"Algorithm {i} processing.\"\"\"\n")
-            code_lines.append(f"    result = 0\n")
-            code_lines.append(f"    for j in range({i * 10}):\n")
-            code_lines.append(f"        result += x * y + j\n")
-            code_lines.append(f"    return result\n\n")
-        code_text = "".join(code_lines)
-        # Pad/truncate to target
-        while len(code_text) < TARGET_PROMPT_BYTES:
-            code_text += "# Additional algorithm block\n"
-            code_text += f"def extra_{len(code_text)//100}():\n"
-            code_text += "    x = 1\n"
-            code_text += "    y = 2\n"
-            code_text += "    return x + y\n\n"
-        code_text = code_text[:TARGET_PROMPT_BYTES]
-
-        # Prose prompt: historical/scientific/philosophical text
-        prose_text = ""
-        topics = [
-            "The Renaissance brought profound transformation to European civilization. Artists and scholars pushed the boundaries of human expression.",
-            "Quantum mechanics describes the behavior of matter and energy at atomic scales. The uncertainty principle limits measurement precision.",
-            "Ethical philosophy grapples with questions of right and wrong. Utilitarianism judges actions by their consequences and the happiness they produce.",
-            "Mountains rise like ancient sentinels, their peaks lost in clouds that swirl and dance across the sky above the valleys below.",
-            "The ocean whispers secrets to the shore, each wave carrying fragments of distant lands across the water before retreating back to sea.",
-        ]
-        for _ in range(500):
-            prose_text += f"{topics[len(prose_text) % len(topics)]} "
-        prose_text = prose_text[:TARGET_PROMPT_BYTES]
-
-        code_prompt_file.write_text(code_text)
-        prose_prompt_file.write_text(prose_text)
-        print(f"  Code: {code_prompt_file.stat().st_size:,} bytes")
-        print(f"  Prose: {prose_prompt_file.stat().st_size:,} bytes")
-
-    print("=" * 60)
-    print("  N-gram Mod Benchmark — frank-dragoon")
-    print(f"  STRIX ROCmFP4 · 64K context · 16K prompts")
-    print("=" * 60)
-
-    results = []
-    port_base = 7772
-    port_ngram = 7773
-
-    tests = [
-        ("code", "none", port_base, code_prompt_file),
-        ("prose", "none", port_ngram, prose_prompt_file),
-        ("code", "ngram-mod", port_base, code_prompt_file),
-        ("prose", "ngram-mod", port_ngram, prose_prompt_file),
-    ]
-
-    for prompt_type, spec_type, port, pfile in tests:
-        print(f"\n=== {spec_type} ({prompt_type}) ===")
-        print(f"  File: {pfile} ({pfile.stat().st_size:,} bytes)")
-        print(f"  Spec: {spec_type}")
-        if spec_type == "ngram-mod":
-            print(f"  n_max={NGRAM_N_MAX}, n_min={NGRAM_N_MIN}")
-
-        proc = start_server(port, spec_type)
-
-        try:
-            # Warm-up
-            print("  Warm-up...")
-            run_test("Hello test", spec_type, port)
-
-            # Full prompt
-            print(f"  Sending {TARGET_PROMPT_TOKENS} token prompt...")
-            with open(pfile) as f:
-                prompt_text = f.read()
-            result = run_test(prompt_text, spec_type, port)
-
-            tps = result["prompt_per_second"]
-            print(f"  Tokens:  {result['prompt_tokens']}")
-            print(f"  Prompt:  {result['prompt_ms']:.0f}ms")
-            print(f"  TPS:     {tps:.1f} tok/s")
-            print(f"  Total:   {result['total_time_s']:.1f}s")
-
-            results.append({
-                "prompt_type": prompt_type,
-                "spec_type": spec_type,
-                "prompt_tokens": result["prompt_tokens"],
-                "prompt_ms": result["prompt_ms"],
-                "tps": tps,
-                "total_time_s": result["total_time_s"],
-            })
-
-        finally:
-            proc.terminate()
-            try:
-                proc.wait(timeout=5)
-            except:
-                proc.kill()
-
-    # Summary
-    print("\n" + "=" * 60)
-    print("  RESULTS SUMMARY")
-    print("=" * 60)
-
-    for ptype in ["code", "prose"]:
-        baseline = next((r for r in results if r["prompt_type"] == ptype and r["spec_type"] == "none"), None)
-        ngram = next((r for r in results if r["prompt_type"] == ptype and r["spec_type"] == "ngram-mod"), None)
-        if baseline and ngram:
-            gain = ((ngram["tps"] - baseline["tps"]) / baseline["tps"]) * 100 if baseline["tps"] > 0 else 0
-            print(f"\n{ptype.upper()} PROMPT:")
-            print(f"  Baseline TPS: {baseline['tps']:.1f} tok/s ({baseline['prompt_ms']:.0f}ms)")
-            print(f"  N-gram TPS:   {ngram['tps']:.1f} tok/s ({ngram['prompt_ms']:.0f}ms)")
-            print(f"  Speedup:      {gain:+.1f}%")
-
-    print("\n" + "=" * 60)
-
-
-if __name__ == "__main__":
-    main()

scripts/.AGENTTRASH/bench-ngram-mod.sh.ik-llama.cpp

@@ -1,304 +0,0 @@
-#!/usr/bin/env bash
-# Benchmark n-gram speculative decoding vs no-spec for frank-dragoon.
-#
-# This tests prompt-processing throughput at 64k context with two distinct
-# prompts: one code-heavy and one prose-heavy. Uses llama-server on scratch
-# ports with the OpenAI-compatible API to measure prompt_eval_duration_ms.
-#
-# Run on Dankclaw after stopping the production service:
-#   sudo systemctl stop frank-dragoon
-#   ./scripts/bench-ngram-mod.sh
-#   sudo systemctl start frank-dragoon
-
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a; source "$ENV_FILE"; set +a
-fi
-
-: "${LLAMA_BIN:=/home/dank/GitPackages/ROCmFPX/build-qwen38/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX}"
-: "${MODEL_FILE:=Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf}"
-: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
-: "${CHAT_TEMPLATE_KWARGS:={}}"
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=4096}"
-: "${CTX_SIZE:=65536}"
-: "${NUM_THREADS:=16}"
-: "${THREAD_BATCH:=32}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${FIT:=off}"
-: "${TEMPERATURE:=0.7}"
-: "${TOP_P:=0.8}"
-: "${TOP_K:=20}"
-: "${MIN_P:=0.0}"
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-
-MODEL="$MODEL_DIR/$MODEL_FILE"
-HOSTNAME=$(hostname 2>/dev/null || echo "dankclaw")
-
-# Prompt files (generated by generate-prompts.py or passed via args)
-PROMPT_CODE="${1:-}"
-PROMPT_PROSE="${2:-}"
-
-if [[ -z "$PROMPT_CODE" || -z "$PROMPT_PROSE" ]]; then
-    echo "ERROR: Need two prompt file paths."
-    echo "Usage: $0 <prompt_code.txt> <prompt_prose.txt>"
-    echo "Generate with: python3 scripts/generate-prompts.py"
-    exit 1
-fi
-
-if [[ ! -r "$MODEL" ]]; then
-    echo "missing or unreadable model: $MODEL" >&2
-    exit 1
-fi
-
-SERVER_DIR="$(cd -- "$(dirname -- "$LLAMA_BIN")" && pwd)"
-ROCM_PATH="${ROCM_PATH:-/opt/rocm}"
-LIBRARY_PATH="$SERVER_DIR:$ROCM_PATH/lib:$ROCM_PATH/lib/rocm_sysdeps/lib:$ROCM_PATH/lib/llvm/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"
-
-# Scratch ports
-PORT_NGRAM=7771
-PORT_BASELINE=7772
-
-cleanup() {
-    echo "Cleaning up servers..."
-    # Kill any leftover llama-server on our ports
-    for port in $PORT_NGRAM $PORT_BASELINE; do
-        fuser -k "$port"/tcp 2>/dev/null || true
-    done
-}
-trap cleanup EXIT
-
-wait_for_server() {
-    local port=$1
-    local max_wait=120
-    local elapsed=0
-    while (( elapsed < max_wait )); do
-        if curl -s "http://127.0.0.1:$port/health" | grep -q '"running"'; then
-            return 0
-        fi
-        sleep 1
-        (( elapsed++ ))
-    done
-    echo "ERROR: Server on port $port did not start within ${max_wait}s" >&2
-    return 1
-}
-
-get_prompt_tokens() {
-    local file=$1
-    # Count tokens approximately (1 token ~ 4 chars for English/code)
-    wc -c < "$file" | awk '{printf "%d", $1/4}'
-}
-
-run_single_test() {
-    local port=$1
-    local spec_type="$2"
-    local prompt_file=$3
-    local label=$4
-    local ngram_n_max="${5:-24}"
-    local ngram_n_min="${6:-4}"
-    
-    echo "=== $label ==="
-    echo "  spec-type: $spec_type"
-    echo "  ngram-mod n-max: $ngram_n_max (if enabled)"
-    echo "  ngram-mod n-min: $ngram_n_min (if enabled)"
-    echo "  prompt: $prompt_file ($(wc -c < "$prompt_file") bytes)"
-    
-    # Build command
-    local cmd=(
-        /usr/bin/env
-        ROCM_PATH="$ROCM_PATH"
-        HIP_VISIBLE_DEVICES=0
-        LD_LIBRARY_PATH="$LIBRARY_PATH"
-        HSA_OVERRIDE_GFX_VERSION="${HSA_OVERRIDE_GFX_VERSION:-11.5.1}"
-        "$LLAMA_BIN"
-        --model "$MODEL"
-        --chat-template-file "$CHAT_TEMPLATE_FILE"
-        --chat-template-kwargs "$CHAT_TEMPLATE_KWARGS"
-        --host 127.0.0.1
-        --port "$port"
-        --jinja
-        --device ROCm0
-        --gpu-layers 999
-        --parallel 1
-        --ctx-size "$CTX_SIZE"
-        --batch-size "$BATCH_SIZE"
-        --ubatch-size "$UBATCH_SIZE"
-        --fit "$FIT"
-        --flash-attn on
-        --cache-type-k "$CACHE_TYPE_K"
-        --cache-type-v "$CACHE_TYPE_V"
-        --threads "$NUM_THREADS"
-        --threads-batch "$THREAD_BATCH"
-        --cache-prompt
-        --cache-idle-slots
-        --metrics
-        --temp "$TEMPERATURE"
-        --top-p "$TOP_P"
-        --top-k "$TOP_K"
-        --min-p "$MIN_P"
-        --reasoning "$REASONING"
-        --reasoning-format "$REASONING_FORMAT"
-        --reasoning-budget -1
-    )
-    
-    # Add spec flags
-    if [[ "$spec_type" == "ngram-mod" ]]; then
-        cmd+=(
-            --spec-type "ngram-mod"
-            --spec-ngram-mod-n-max "$ngram_n_max"
-            --spec-ngram-mod-n-min "$ngram_n_min"
-        )
-    else
-        cmd+=(
-            --spec-type "none"
-        )
-    fi
-    
-    # Start server with stderr to log
-    local log_file="/tmp/ngram-bench-${label//[^a-zA-Z0-9]/-}.log"
-    echo "  Starting server (log: $log_file)..."
-    
-    "${cmd[@]}" 2> "$log_file" &
-    local server_pid=$!
-    
-    if ! wait_for_server "$port"; then
-        echo "ERROR: Server failed to start" >&2
-        kill "$server_pid" 2>/dev/null || true
-        return 1
-    fi
-    
-    echo "  Server ready."
-    
-    # Send prompt via API
-    echo "  Sending prompt..."
-    local prompt_text
-    prompt_text=$(cat "$prompt_file")
-    
-    local response
-    response=$(curl -s -X POST "http://127.0.0.1:$port/v1/completions" \
-        -H "Content-Type: application/json" \
-        -d "{
-            \"model\": \"frank-dragoon\",
-            \"prompt\": \"$prompt_text\",
-            \"max_tokens\": 128,
-            \"temperature\": 0,
-            \"stream\": false
-        }")
-    
-    # Extract metrics
-    local prompt_tokens prompt_eval_duration_ms total_duration_ms
-    prompt_tokens=$(echo "$response" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['prompt_eval_count'])" 2>/dev/null || echo "0")
-    prompt_eval_duration_ms=$(echo "$response" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['prompt_eval_duration_ms'])" 2>/dev/null || echo "0")
-    total_duration_ms=$(echo "$response" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['total_duration_ms'])" 2>/dev/null || echo "0")
-    
-    # Calculate throughput
-    local prompt_tps=0
-    if [[ "$prompt_eval_duration_ms" -gt 0 ]]; then
-        prompt_tps=$(python3 -c "print(f'{($prompt_tokens / $prompt_eval_duration_ms) * 1000:.1f}')")
-    fi
-    
-    echo "  Prompt tokens:  $prompt_tokens"
-    echo "  Prompt eval:    ${prompt_eval_duration_ms}ms"
-    echo "  Prompt TPS:     $prompt_tps tok/s"
-    echo "  Total duration: ${total_duration_ms}ms"
-    
-    # Kill server
-    kill "$server_pid" 2>/dev/null || true
-    sleep 2
-    
-    echo "  Done."
-    echo "---"
-    
-    # Output structured results for parsing
-    echo "RESULT|$label|$prompt_file|$prompt_tokens|$prompt_eval_duration_ms|$total_duration_ms|$prompt_tps"
-}
-
-echo "╔══════════════════════════════════════════════════════════╗"
-echo "║  N-gram Mod Benchmark — frank-dragoon             ║"
-echo "║  STRIX ROCmFP4 · 64k context · two prompts             ║"
-echo "╚══════════════════════════════════════════════════════════╝"
-echo ""
-echo "Host: $HOSTNAME"
-echo "Model: $MODEL"
-echo "Build: $(basename "$LLAMA_BIN")"
-echo "Context: $CTX_SIZE"
-echo ""
-
-# Run baseline (no spec)
-echo "=== BASELINE (no speculative decoding) ==="
-echo ""
-
-BASELINE_CODE_RESULT=$(run_single_test $PORT_BASELINE "none" "$PROMPT_CODE" "Baseline-Code" 24 4)
-BASELINE_PROSE_RESULT=$(run_single_test $PORT_NGRAM "none" "$PROMPT_PROSE" "Baseline-Prose" 24 4)
-
-echo ""
-echo "=== NGRAM-MOD (speculative decoding enabled) ==="
-echo ""
-
-# Run n-gram mod
-NGRAM_CODE_RESULT=$(run_single_test $PORT_NGRAM "ngram-mod" "$PROMPT_CODE" "Ngram-Code" 24 4)
-NGRAM_PROSE_RESULT=$(run_single_test $PORT_BASELINE "ngram-mod" "$PROMPT_PROSE" "Ngram-Prose" 24 4)
-
-echo ""
-echo "╔══════════════════════════════════════════════════════════╗"
-echo "║  RESULTS SUMMARY                                       ║"
-echo "╚══════════════════════════════════════════════════════════╝"
-echo ""
-
-# Parse and display results
-python3 << 'PYEOF'
-import sys
-
-results = []
-for line in sys.stdin:
-    line = line.strip()
-    if not line.startswith("RESULT|"):
-        continue
-    parts = line.split("|")
-    if len(parts) != 8:
-        continue
-    label, prompt_file, prompt_tokens, prompt_eval_ms, total_ms, tps = parts[1], parts[2], int(parts[3]), int(parts[4]), int(parts[5]), float(parts[6])
-    results.append({
-        'label': label,
-        'prompt_file': prompt_file,
-        'prompt_tokens': prompt_tokens,
-        'prompt_eval_ms': prompt_eval_ms,
-        'total_ms': total_ms,
-        'tps': tps
-    })
-
-# Compare baseline vs ngram for each prompt type
-for code_result in results:
-    if not code_result['label'].startswith('Ngram-'):
-        continue
-    prompt_type = code_result['label'].replace('Ngram-', '').replace('Ngram', 'Baseline').replace('-', '-')
-    baseline = next((r for r in results if r['label'] == 'Baseline-' + prompt_type), None)
-    if not baseline:
-        continue
-    
-    spec = code_result['label'] == 'Ngram-' + prompt_type
-    
-    print(f"Prompt: {prompt_type}")
-    print(f"  Tokens:   {code_result['prompt_tokens']}")
-    if spec:
-        print(f"  Spec:     ngram-mod (n_max=24, n_min=4)")
-        print(f"  Prompt:   {code_result['prompt_eval_ms']}ms  |  {code_result['tps']:>10.1f} tok/s")
-        baseline_tps = baseline['tps']
-        if baseline_tps > 0:
-            improvement = ((code_result['tps'] - baseline_tps) / baseline_tps) * 100
-            print(f"  Speedup:  {improvement:+.1f}% vs baseline ({baseline_tps:.1f} tok/s)")
-    else:
-        print(f"  Spec:     none (baseline)")
-        print(f"  Prompt:   {baseline['prompt_eval_ms']}ms  |  {baseline['tps']:>10.1f} tok/s")
-    print()
-PYEOF
-
-echo ""
-echo "Raw data lines above (RESULT|... format) can be parsed for automation."
-echo ""

scripts/.AGENTTRASH/bench-spec-decode.py.ik-llama.cpp

@@ -1,229 +0,0 @@
-#!/usr/bin/env python3
-"""Benchmark decode throughput across speculative decoding configs.
-
-Sweeps 4 configs: none, ngram-mod, draft-mtp, draft-mtp+ngram-mod.
-Each config generates 16k tokens from a minimal prompt at temp 0.
-
-Runs ON the target host (Dankclaw). Service management uses local sudo.
-Usage:
-    python3 bench-spec-decode.py [--max-tokens N] [--host H] [--port P]
-"""
-import json
-import subprocess
-import sys
-import time
-import urllib.request
-import urllib.error
-
-SERVICE = "frank-dragoon"
-ENV_FILE = "/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
-ALIAS = "frank-dragoon"
-DEFAULT_HOST = "localhost"
-DEFAULT_PORT = 7770
-DEFAULT_MAX_TOKENS = 16384
-HEALTH_TIMEOUT = 1200  # 20 min for cold load
-HEALTH_INTERVAL = 5
-
-PROMPT = (
-    "Write a comprehensive, detailed essay about the complete history of "
-    "computing, from the earliest mechanical calculators through modern AI. "
-    "Cover every major era in detail, including key figures, machines, and "
-    "breakthroughs. Be as thorough as possible."
-)
-
-CONFIGS = [
-    ("none", "none"),
-    ("ngram-mod", "ngram-mod"),
-    ("draft-mtp", "draft-mtp"),
-    ("draft-mtp+ngram-mod", "draft-mtp,ngram-mod"),
-]
-
-
-def local(cmd):
-    """Run a command locally (the script runs on the target host)."""
-    r = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=120)
-    if r.returncode != 0:
-        print(f"  WARNING: {cmd} -> exit {r.returncode}: {r.stderr.strip()}",
-              file=sys.stderr)
-    return r
-
-
-def sed_spec_type(value):
-    local(f"sudo sed -i 's/^SPEC_TYPE=.*/SPEC_TYPE={value}/' {ENV_FILE}")
-
-
-def wait_health(host, port, timeout=HEALTH_TIMEOUT):
-    start = time.time()
-    while time.time() - start < timeout:
-        try:
-            resp = urllib.request.urlopen(
-                f"http://{host}:{port}/health", timeout=10
-            )
-            if resp.status == 200:
-                return True
-        except (urllib.error.URLError, urllib.error.HTTPError, ConnectionError,
-                OSError):
-            pass
-        time.sleep(HEALTH_INTERVAL)
-    return False
-
-
-def benchmark(host, port, alias, max_tokens):
-    body = json.dumps({
-        "model": alias,
-        "messages": [{"role": "user", "content": PROMPT}],
-        "max_tokens": max_tokens,
-        "temperature": 0,
-        "stream": False,
-    }).encode()
-    req = urllib.request.Request(
-        f"http://{host}:{port}/v1/chat/completions",
-        data=body,
-        headers={"Content-Type": "application/json"},
-    )
-    t0 = time.time()
-    resp = urllib.request.urlopen(req, timeout=1200)
-    wall = time.time() - t0
-    data = json.loads(resp.read())
-    return data, wall
-
-
-def main():
-    import argparse
-    ap = argparse.ArgumentParser(description=__doc__)
-    ap.add_argument("--host", default=DEFAULT_HOST)
-    ap.add_argument("--port", type=int, default=DEFAULT_PORT)
-    ap.add_argument("--max-tokens", type=int, default=DEFAULT_MAX_TOKENS)
-    args = ap.parse_args()
-
-    # Read original SPEC_TYPE from the env file
-    r = local(f"grep '^SPEC_TYPE=' {ENV_FILE}")
-    original_spec = r.stdout.strip()
-    orig_val = (original_spec.split("=", 1)[1]
-                if "=" in original_spec else "draft-mtp,ngram-mod")
-    print(f"Original: {original_spec}")
-    print(f"Max tokens: {args.max_tokens}")
-    print(f"Configs: {[c[0] for c in CONFIGS]}")
-    print()
-
-    # Stop + mask the production service
-    print("Stopping + masking production service...")
-    local(f"sudo systemctl stop {SERVICE}")
-    local(f"sudo systemctl mask {SERVICE}")
-    time.sleep(2)
-
-    results = []
-    for name, spec_type in CONFIGS:
-        print(f"\n{'='*60}")
-        print(f"Config: {name} (SPEC_TYPE={spec_type})")
-        print(f"{'='*60}")
-
-        # Set SPEC_TYPE
-        sed_spec_type(spec_type)
-        print(f"Set SPEC_TYPE={spec_type}")
-
-        # Start the service
-        local(f"sudo systemctl unmask {SERVICE}")
-        local(f"sudo systemctl start {SERVICE}")
-        print("Starting service...")
-
-        # Wait for health
-        print(f"Waiting for health (up to {HEALTH_TIMEOUT}s)...")
-        if not wait_health(args.host, args.port):
-            print(f"FAILED: service did not become healthy for {name}")
-            results.append({
-                "config": name, "spec_type": spec_type,
-                "error": "health timeout",
-            })
-            local(f"sudo systemctl stop {SERVICE}")
-            local(f"sudo systemctl mask {SERVICE}")
-            continue
-
-        print("Healthy. Running benchmark...")
-
-        # Run benchmark
-        try:
-            data, wall = benchmark(
-                args.host, args.port, ALIAS, args.max_tokens
-            )
-        except Exception as e:
-            print(f"FAILED: {e}")
-            results.append({
-                "config": name, "spec_type": spec_type,
-                "error": str(e),
-            })
-            local(f"sudo systemctl stop {SERVICE}")
-            local(f"sudo systemctl mask {SERVICE}")
-            continue
-
-        timings = data.get("timings", {})
-        usage = data.get("usage", {})
-        pred_n = timings.get("predicted_n", usage.get("completion_tokens", 0))
-        pred_ms = timings.get("predicted_ms", 0)
-        pred_ps = timings.get("predicted_per_second", 0)
-        prompt_n = timings.get("prompt_n", usage.get("prompt_tokens", 0))
-        prompt_ms = timings.get("prompt_ms", 0)
-
-        print(f"  Generated:   {pred_n} tokens")
-        print(f"  Wall time:   {wall:.1f}s")
-        print(f"  Decode:      {pred_ps:.2f} tok/s")
-        print(f"  Prefill:     {prompt_n} tokens in {prompt_ms:.0f}ms"
-              f" ({prompt_n / max(prompt_ms, 1) * 1000:.1f} tok/s)")
-
-        results.append({
-            "config": name,
-            "spec_type": spec_type,
-            "predicted_tokens": pred_n,
-            "predicted_ms": pred_ms,
-            "predicted_per_second": pred_ps,
-            "prompt_tokens": prompt_n,
-            "prompt_ms": prompt_ms,
-            "wall_time": wall,
-        })
-
-        # Stop + mask between configs
-        local(f"sudo systemctl stop {SERVICE}")
-        local(f"sudo systemctl mask {SERVICE}")
-        time.sleep(2)
-
-    # Restore original SPEC_TYPE
-    sed_spec_type(orig_val)
-    print(f"\nRestoring SPEC_TYPE={orig_val}")
-    print("Unmasking + starting production service...")
-    local(f"sudo systemctl unmask {SERVICE}")
-    local(f"sudo systemctl start {SERVICE}")
-
-    # Health check
-    if wait_health(args.host, args.port):
-        print("Production service healthy.")
-    else:
-        print("WARNING: production service not healthy after restore!")
-
-    # Print results table
-    print(f"\n{'='*70}")
-    print("RESULTS")
-    print(f"{'='*70}")
-    print(f"{'Config':<30} {'Tokens':>8} {'Wall(s)':>10} {'Decode tok/s':>14} "
-          f"{'Error':>20}")
-    print(f"{'-'*30} {'-'*8} {'-'*10} {'-'*14} {'-'*20}")
-    for r in results:
-        if "error" in r:
-            print(f"{r['config']:<30} {'':>8} {'':>10} {'':>14} "
-                  f"{r['error']:>20}")
-        else:
-            print(f"{r['config']:<30} {r['predicted_tokens']:>8} "
-                  f"{r['wall_time']:>10.1f} {r['predicted_per_second']:>14.2f} "
-                  f"{'':>20}")
-    print(f"{'='*70}")
-
-    # Save JSON results
-    ts = time.strftime("%Y%m%d-%H%M%S")
-    out = f"/tmp/bench-spec-decode-{ts}.json"
-    with open(out, "w") as f:
-        json.dump({"results": results, "max_tokens": args.max_tokens,
-                   "timestamp": ts}, f, indent=2)
-    print(f"Results saved: {out}")
-
-
-if __name__ == "__main__":
-    main()

scripts/.AGENTTRASH/bench-vllm-corpus.py

@@ -1,85 +0,0 @@
-#!/usr/bin/env python3
-"""bench-vllm-corpus.py — build a code-shaped benchmark corpus from the repo.
-
-Why this exists: `vllm bench serve --dataset-name random` produces synthetic
-token soup, and speculative decoding accepts it nothing like real code — measured
-on frank-medium, random prompts accepted 2.9-3.6 tokens/update against the ~5.8
-the upstream reference reports on a code mix, which makes the random corpus
-under-report throughput by a wide margin and would pick the wrong SPEC depth.
-
-The prompts are the shape agents actually send: a repository artifact plus an
-instruction that requires reading it. Output length is fixed at bench time
-(`--custom-output-len`), so the corpus carries prompts only.
-
-Usage:
-    bench-vllm-corpus.py [repo-root] [out.jsonl]
-
-Then feed it to the endpoint (see scripts/bench-vllm-serve.sh, which passes the
-tokenizer the client needs and salts prompts so no run inherits a warm prefix
-cache). Methodology and the numbers these corpora produced are in
-serverAppConfigs-docs/LLM/frank-medium-radiance-mxfp4.md.
-"""
-
-from __future__ import annotations
-
-import json
-import pathlib
-import sys
-
-REPO = pathlib.Path(sys.argv[1] if len(sys.argv) > 1 else "/home/dank/serverAppConfigs")
-OUT = pathlib.Path(sys.argv[2] if len(sys.argv) > 2 else "/home/dank/bench/corpus-code.jsonl")
-
-TARGETS = [
-    "scripts/deploy-remote.sh",
-    "scripts/deploy-plan.py",
-    "scripts/deploy.sh",
-    "dankserver/frank-medium/radiance-entrypoint.sh",
-    "dankserver/frank-medium/quadlet/frank-medium-a.container",
-    "dankserver/frank-medium/proxy/affinity-proxy.py",
-    "dankserver/frank-medium/proxy/routing.py",
-    "tests/frank_medium_quadlet.bats",
-    "tests/deployment_scoping.bats",
-    "dankclaw/hermes/quadlet/hermes.container",
-    "dankclaw/anubis/quadlet/anubis.container",
-    "shared/prometheus/prometheus.yml",
-    "shared/prometheus/rules/llm-fleet.yml",
-    "shared/loki/loki-config.yaml",
-    "dankclaw/compose.yaml",
-    "dankserver/copyparty/quadlet/copyparty.container",
-]
-
-PROMPTS = [
-    "Read this repository artifact and summarise what it does, then list every "
-    "assumption it makes about the host it runs on.\n\n```\n{body}\n```",
-    "Here is a file from our homelab repository. Identify any bug, race or "
-    "missing error path, and show the minimal patch that fixes it.\n\n```\n{body}\n```",
-    "Explain this configuration to a new operator, then rewrite it with "
-    "comments that state the constraint each line protects.\n\n```\n{body}\n```",
-    "This file changed in a recent deploy. Write the changelog entry and a test "
-    "that would fail if the change regressed.\n\n```\n{body}\n```",
-]
-
-MAX_LINES = 220
-
-
-def main() -> int:
-    samples = []
-    for i, rel in enumerate(TARGETS):
-        path = REPO / rel
-        if not path.is_file():
-            continue
-        body = "\n".join(path.read_text(errors="replace").splitlines()[:MAX_LINES])
-        samples.append({"prompt": PROMPTS[i % len(PROMPTS)].format(body=body)})
-    if not samples:
-        print(f"no corpus sources found under {REPO}", file=sys.stderr)
-        return 1
-    OUT.parent.mkdir(parents=True, exist_ok=True)
-    with OUT.open("w") as fh:
-        for sample in samples:
-            fh.write(json.dumps(sample) + "\n")
-    print(f"wrote {len(samples)} prompts to {OUT}")
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())

scripts/.AGENTTRASH/bench-vllm-serve.sh

@@ -1,63 +0,0 @@
-#!/bin/bash
-# bench-vllm-serve.sh — concurrency sweep against a vLLM endpoint.
-#
-# Usage: bench-vllm-serve.sh <tag> <port> [concurrency ...]
-#   e.g. bench-vllm-serve.sh baseline 7770 1 4 8
-#
-# Runs `vllm bench serve` from inside the serving image (so the client matches
-# the server build) through an OpenAI-compatible endpoint, on the code corpus
-# scripts/bench-vllm-corpus.py writes.
-#
-# Two traps this script exists to encode, both of which produced silent garbage
-# during the 2026-09-16 frank-medium work:
-#
-#   1. The tokenizer must be passed explicitly and /models mounted. With only
-#      `--model frank-medium` the client tries to resolve that alias on
-#      HuggingFace and dies before sending a request — a run that looks like a
-#      benchmark and reports nothing.
-#   2. `--ignore-eos` is deliberate: it measures decode throughput at a fixed
-#      output length. Drop it when you care about real stop behaviour, but then
-#      do not compare the numbers with anything measured under it.
-#
-# Also note the corpora are code-shaped on purpose (see the generator's header):
-# synthetic random prompts misreport speculative acceptance badly.
-#
-# Methodology, and the numbers these runs produced on 2x R9700, are in
-# serverAppConfigs-docs/LLM/frank-medium-radiance-mxfp4.md.
-set -u
-
-TAG=${1:?usage: bench-vllm-serve.sh <tag> <port> [concurrency ...]}
-PORT=${2:?usage: bench-vllm-serve.sh <tag> <port> [concurrency ...]}
-shift 2
-CONCS=("$@")
-[ "${#CONCS[@]}" -eq 0 ] && CONCS=(1 4 8)
-
-IMG=${IMG:-localhost/radiance-vllm:0.9.3}
-MODELS_DIR=${MODELS_DIR:-/home/dank/models}
-TOK=${TOK:-/models/Qwen3.8-27B-Uncensored-MXFP4-awq}
-BENCH_DIR=${BENCH_DIR:-/home/dank/bench}
-CORPUS=${CORPUS:-$BENCH_DIR/corpus-code.jsonl}
-OUT=${OUT:-$BENCH_DIR/$TAG}
-mkdir -p "$OUT"
-
-if [ ! -f "$CORPUS" ]; then
-    echo "corpus $CORPUS is missing; run scripts/bench-vllm-corpus.py first" >&2
-    exit 1
-fi
-
-for c in "${CONCS[@]}"; do
-    echo "== $TAG conc=$c (port $PORT)"
-    podman run --rm --network=host -v "$MODELS_DIR":/models:ro -v "$BENCH_DIR":/bench:ro \
-        -e HF_HUB_OFFLINE=1 --entrypoint bash "$IMG" -lc "
-        vllm bench serve --backend openai-chat \
-          --base-url http://127.0.0.1:$PORT --endpoint /v1/chat/completions \
-          --model frank-medium --tokenizer $TOK \
-          --dataset-name custom --dataset-path /bench/$(basename "$CORPUS") \
-          --custom-output-len 512 --num-prompts 16 --max-concurrency $c \
-          --disable-shuffle --seed 0 --ignore-eos \
-          --percentile-metrics ttft,tpot --metric-percentiles 50,99 \
-          --disable-tqdm 2>&1 | grep -E 'Successful requests|Benchmark duration|Output token throughput|Total Token throughput|Mean TTFT|P50 TTFT|P50 TPOT|Acceptance rate|Acceptance length'
-    " 2>&1 | sed 's/^/  /'
-    echo
-done
-echo "results for $TAG written under $OUT"

scripts/.AGENTTRASH/chat-template.jinja.ik-llama-qwen-sharp

@@ -1,453 +0,0 @@
-{%- set template_version = "qwen3.8-froggeric-v22.4.0" %}
-{%- set _tool_format = tool_call_format if tool_call_format is defined else 'xml' %}
-{%- set image_count = namespace(value=0) %}
-{%- set video_count = namespace(value=0) %}
-{%- set add_vision_id = add_vision_id if add_vision_id is defined else false %}
-{%- set enable_thinking = enable_thinking if enable_thinking is defined else true %}
-{%- set auto_disable_thinking_with_tools = auto_disable_thinking_with_tools if auto_disable_thinking_with_tools is defined else false %}
-{%- if preserve_reasoning is defined and preserve_reasoning is not none %}
-    {%- set _preserve_thinking = preserve_reasoning %}
-{%- elif preserve_thinking is defined and preserve_thinking is not none %}
-    {%- set _preserve_thinking = preserve_thinking %}
-{%- else %}
-    {%- set _preserve_thinking = true %}
-{%- endif %}
-{%- set max_tool_arg_chars = max_tool_arg_chars if max_tool_arg_chars is defined else 0 %}
-{%- set max_tool_response_chars = max_tool_response_chars if max_tool_response_chars is defined else 0 %}
-{%- set _default_reasoning_effort = 'medium' %}
-{%- set _has_tools = (tools is defined and tools and tools is iterable and tools is not mapping) %}
-{%- set _effort_raw = (reasoning_effort | string | lower) if reasoning_effort is defined and reasoning_effort is not none else _default_reasoning_effort %}
-{%- set _initial_thinking = enable_thinking %}
-{%- if _effort_raw in ('none', 'off') %}
-    {%- set _initial_thinking = false %}
-    {%- set _initial_effort = 'medium' %}
-{%- elif _effort_raw in ('minimal', 'low') %}
-    {%- set _initial_effort = 'low' %}
-{%- elif _effort_raw in ('high', 'xhigh', 'max', 'ultracode', 'extreme') %}
-    {%- set _initial_effort = 'xhigh' %}
-{%- else %}
-    {%- set _initial_effort = 'medium' %}
-{%- endif %}
-{%- set ns_state = namespace(thinking=_initial_thinking, effort=_initial_effort) %}
-{%- if auto_disable_thinking_with_tools and _has_tools %}
-    {%- set ns_state.thinking = false %}
-{%- endif %}
-{%- for msg in messages %}
-    {%- if msg.role == 'system' or msg.role == 'developer' or msg.role == 'user' %}
-        {%- if msg.content is string %}
-            {%- if '<|think_off|>' in msg.content %}
-                {%- set ns_state.thinking = false %}
-            {%- elif '<|think_on|>' in msg.content %}
-                {%- set ns_state.thinking = true %}
-            {%- elif '<|think_xhigh|>' in msg.content or '<|think_high|>' in msg.content or '<|think_ultracode|>' in msg.content or '<|think_extreme|>' in msg.content or '<|think_max|>' in msg.content %}
-                {%- set ns_state.thinking = true %}
-                {%- set ns_state.effort = 'xhigh' %}
-            {%- elif '<|think_low|>' in msg.content or '<|think_minimal|>' in msg.content %}
-                {%- set ns_state.thinking = true %}
-                {%- set ns_state.effort = 'low' %}
-            {%- elif '<|think_medium|>' in msg.content %}
-                {%- set ns_state.thinking = true %}
-                {%- set ns_state.effort = 'medium' %}
-            {%- endif %}
-        {%- elif msg.content is iterable and msg.content is not mapping %}
-            {%- for item in msg.content %}
-                {%- if item is string %}
-                    {%- set _item_text = item %}
-                {%- elif item is mapping and 'text' in item and item.text is string %}
-                    {%- set _item_text = item.text %}
-                {%- else %}
-                    {%- set _item_text = '' %}
-                {%- endif %}
-                {%- if _item_text %}
-                    {%- if '<|think_off|>' in _item_text %}
-                        {%- set ns_state.thinking = false %}
-                    {%- elif '<|think_on|>' in _item_text %}
-                        {%- set ns_state.thinking = true %}
-                    {%- elif '<|think_xhigh|>' in _item_text or '<|think_high|>' in _item_text or '<|think_ultracode|>' in _item_text or '<|think_extreme|>' in _item_text or '<|think_max|>' in _item_text %}
-                        {%- set ns_state.thinking = true %}
-                        {%- set ns_state.effort = 'xhigh' %}
-                    {%- elif '<|think_low|>' in _item_text or '<|think_minimal|>' in _item_text %}
-                        {%- set ns_state.thinking = true %}
-                        {%- set ns_state.effort = 'low' %}
-                    {%- elif '<|think_medium|>' in _item_text %}
-                        {%- set ns_state.thinking = true %}
-                        {%- set ns_state.effort = 'medium' %}
-                    {%- endif %}
-                {%- endif %}
-            {%- endfor %}
-        {%- endif %}
-    {%- endif %}
-{%- endfor %}
-{%- set reasoning_instructions = '' %}
-{%- if ns_state.thinking %}
-    {%- if ns_state.effort == 'xhigh' %}
-        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
-    {%- elif ns_state.effort == 'low' %}
-        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
-    {%- endif %}
-{%- endif %}
-{%- macro render_content(content, do_vision_count, is_system_content=false) %}
-    {%- if content is string %}
-        {{- content }}
-    {%- elif content is iterable and content is not mapping %}
-        {%- for item in content %}
-            {%- if item is mapping %}
-                {%- if item.type == 'image' or 'image' in item or 'image_url' in item %}
-                    {%- if is_system_content %}
-                        {{- raise_exception('System message cannot contain images.') }}
-                    {%- endif %}
-                    {%- if do_vision_count %}
-                        {%- set image_count.value = image_count.value + 1 %}
-                    {%- endif %}
-                    {%- if add_vision_id %}
-                        {{- 'Picture ' ~ image_count.value ~ ': ' }}
-                    {%- endif %}
-                    {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
-                {%- elif item.type == 'video' or 'video' in item %}
-                    {%- if is_system_content %}
-                        {{- raise_exception('System message cannot contain videos.') }}
-                    {%- endif %}
-                    {%- if do_vision_count %}
-                        {%- set video_count.value = video_count.value + 1 %}
-                    {%- endif %}
-                    {%- if add_vision_id %}
-                        {{- 'Video ' ~ video_count.value ~ ': ' }}
-                    {%- endif %}
-                    {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
-                {%- elif 'text' in item %}
-                    {{- item.text }}
-                {%- else %}
-                    {{- raise_exception('Unexpected item type in content.') }}
-                {%- endif %}
-            {%- else %}
-                {{- item | string }}
-            {%- endif %}
-        {%- endfor %}
-    {%- elif content is none or content is undefined %}
-        {{- '' }}
-    {%- else %}
-        {{- raise_exception('Unexpected content type.') }}
-    {%- endif %}
-{%- endmacro %}
-{%- if not messages %}
-    {{- raise_exception('No messages provided.') }}
-{%- endif %}
-{%- set head = namespace(count=0, seen_non_system=false) %}
-{%- for message in messages %}
-    {%- set _is_sys = (message.role == 'system' or message.role == 'developer') %}
-    {%- if _is_sys and not head.seen_non_system %}
-        {%- set head.count = head.count + 1 %}
-    {%- else %}
-        {%- set head.seen_non_system = true %}
-    {%- endif %}
-{%- endfor %}
-{%- set sys_state = namespace(content='') %}
-{%- for message in messages[:head.count] %}
-    {%- set _part = render_content(message.content, false, true) | trim %}
-    {%- if '<|think_off|>' in _part %}{%- set _part = _part.split('<|think_off|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_on|>' in _part %}{%- set _part = _part.split('<|think_on|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_xhigh|>' in _part %}{%- set _part = _part.split('<|think_xhigh|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_high|>' in _part %}{%- set _part = _part.split('<|think_high|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_ultracode|>' in _part %}{%- set _part = _part.split('<|think_ultracode|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_extreme|>' in _part %}{%- set _part = _part.split('<|think_extreme|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_max|>' in _part %}{%- set _part = _part.split('<|think_max|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_medium|>' in _part %}{%- set _part = _part.split('<|think_medium|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_low|>' in _part %}{%- set _part = _part.split('<|think_low|>') | join('') | trim %}{%- endif %}
-    {%- if '<|think_minimal|>' in _part %}{%- set _part = _part.split('<|think_minimal|>') | join('') | trim %}{%- endif %}
-    {%- if _part %}
-        {%- if sys_state.content %}
-            {%- set sys_state.content = sys_state.content ~ '\n\n' ~ _part %}
-        {%- else %}
-            {%- set sys_state.content = _part %}
-        {%- endif %}
-    {%- endif %}
-{%- endfor %}
-{%- set _sc = sys_state.content %}
-{%- set _msgs = messages[head.count:] %}
-{%- if ns_state.thinking %}
-    {%- set _terse_lead = 'Answer directly, after thinking. Lead with the answer, then only what it needs to be correct and usable.' %}
-{%- else %}
-    {%- set _terse_lead = 'Answer directly and concisely. Give the answer with only what it needs to be correct and usable.' %}
-{%- endif %}
-{%- set _terse_core %}
-Never: open with preamble or pleasantries; restate the question; add filler transitions; hedge with niceties; or repeat a point you've already made.
-Always: keep essential steps, caveats, uncertainties, and specifics — never drop correctness or a needed warning for brevity. Keep the final answer lean. Use the least structure that conveys it (plain prose when short; lists or code only when they earn their place). If genuinely uncertain, say so and explain why — never omit uncertainty for the sake of brevity.
-If a user request is genuinely ambiguous, ask a sharp question, don't guess.
-{%- endset %}
-{%- set _terse = _terse_lead ~ '\n' ~ (_terse_core | trim) %}
-{#- `terse` chat-template kwarg: default true, so behaviour is unchanged unless a caller opts out.
-    Pass {"terse": false} via chat_template_kwargs to serve the model with only its own system
-    prompt -- useful for A/B-ing the terseness effect, or when a downstream prompt conflicts. #}
-{%- set _terse_on = terse if terse is defined else true %}
-{%- if _terse_on %}
-    {%- if not _sc %}
-        {%- set _sc = _terse | trim %}
-    {%- else %}
-        {%- set _sc = (_sc | trim) ~ '\n\n' ~ (_terse | trim) %}
-    {%- endif %}
-{%- endif %}
-{%- if _has_tools %}
-    {{- '<|im_start|>system\n' }}
-    {%- if reasoning_instructions %}
-        {{- reasoning_instructions + '\n\n' }}
-    {%- endif %}
-    {{- '# Tools\n\nYou have access to the following functions:\n\n<tools>' }}
-    {%- for tool in tools %}
-        {{- '\n' }}
-        {{- tool | tojson }}
-    {%- endfor %}
-    {{- '\n</tools>' }}
-    {%- if _tool_format == 'json' %}
-        {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n' }}{%- if ns_state.thinking %}{{- '<think>\nBrief explanation of tool call\n</think>\n' }}{%- endif %}{{- '<tool_call>\n{"name": "example_function_name", "arguments": {"example_parameter_1": "value_1", "example_parameter_2": "This is the value for the second parameter"}}\n</tool_call>\n\n<IMPORTANT>\nReminder:\n' }}{%- if ns_state.thinking %}{{- '- You can use the <think></think> block to plan your next tool call OR to synthesize data and formulate your final response to the user.\n- ALL explanation and reasoning MUST be placed strictly inside the <think></think> block.\n' }}{%- endif %}{{- '- Function calls MUST follow the specified format: a single JSON object with "name" and "arguments" keys inside <tool_call></tool_call> XML tags.\n- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY' }}{%- if ns_state.thinking %}{{- ' after thinking' }}{%- endif %}{{- ', with NO conversational text before it.\n- The <tool_call> tag MUST be at the very beginning of a new line, with NO spaces or indentation before it.\n- To call multiple functions, output a separate, completely closed <tool_call></tool_call> block for EACH function. Do NOT nest <tool_call> blocks.\n- If you have all necessary data, provide your final answer directly to the user without any tool call.\n</IMPORTANT>' }}
-    {%- else %}
-        {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n' }}{%- if ns_state.thinking %}{{- '<think>\nBrief explanation of tool call\n</think>\n' }}{%- endif %}{{- '<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n' }}{%- if ns_state.thinking %}{{- '- You can use the <think></think> block to plan your next tool call OR to synthesize data and formulate your final response to the user.\n- ALL explanation and reasoning MUST be placed strictly inside the <think></think> block.\n' }}{%- endif %}{{- '- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags.\n- If you choose to call a tool, you MUST output the <tool_call> block IMMEDIATELY' }}{%- if ns_state.thinking %}{{- ' after thinking' }}{%- endif %}{{- ', with NO conversational text before it.\n- The <tool_call> and <function> tags MUST be at the very beginning of a new line, with NO spaces or indentation before them.\n- To call multiple functions, output a separate, completely closed <tool_call></tool_call> block for EACH function. Do NOT nest <tool_call> blocks.\n- If you have all necessary data, provide your final answer directly to the user without any tool call.\n</IMPORTANT>' }}
-    {%- endif %}
-    {%- if _sc %}
-        {{- '\n\n' + _sc }}
-    {%- endif %}
-    {{- '<|im_end|>\n' }}
-{%- else %}
-    {%- if _sc %}
-        {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + _sc + '<|im_end|>\n' }}
-    {%- elif reasoning_instructions %}
-        {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
-    {%- endif %}
-{%- endif %}
-{%- set _last_idx = _msgs | length - 1 %}
-{%- set ns = namespace(multi_step_tool=true, last_query_index=_last_idx) %}
-{%- for message in _msgs[::-1] %}
-    {%- set index = (_msgs | length - 1) - loop.index0 %}
-    {%- if ns.multi_step_tool and message.role == 'user' %}
-        {%- set _rc = render_content(message.content, false) | trim %}
-        {%- if not (_rc.startswith('<tool_response>') and _rc.endswith('</tool_response>')) %}
-            {%- set ns.multi_step_tool = false %}
-            {%- set ns.last_query_index = index %}
-        {%- endif %}
-    {%- endif %}
-{%- endfor %}
-{%- if ns.multi_step_tool %}
-    {%- if _last_idx > 50 %}
-        {%- set ns.last_query_index = _last_idx %}
-    {%- else %}
-        {%- set ns.last_query_index = 0 %}
-    {%- endif %}
-{%- endif %}
-{%- set ns2 = namespace(prev_role='', consecutive_failures=0) %}
-{%- for message in _msgs %}
-    {%- set is_system = (message.role == "system" or message.role == "developer") %}
-    {%- set content = render_content(message.content, true, is_system) | trim %}
-    {%- if is_system or message.role == 'user' %}
-        {%- if '<|think_off|>' in content %}{%- set content = content.split('<|think_off|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_on|>' in content %}{%- set content = content.split('<|think_on|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_xhigh|>' in content %}{%- set content = content.split('<|think_xhigh|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_high|>' in content %}{%- set content = content.split('<|think_high|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_ultracode|>' in content %}{%- set content = content.split('<|think_ultracode|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_extreme|>' in content %}{%- set content = content.split('<|think_extreme|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_max|>' in content %}{%- set content = content.split('<|think_max|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_medium|>' in content %}{%- set content = content.split('<|think_medium|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_low|>' in content %}{%- set content = content.split('<|think_low|>') | join('') | trim %}{%- endif %}
-        {%- if '<|think_minimal|>' in content %}{%- set content = content.split('<|think_minimal|>') | join('') | trim %}{%- endif %}
-    {%- endif %}
-    {%- if is_system %}
-        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
-    {%- elif message.role == 'user' %}
-        {%- set ns2.consecutive_failures = 0 %}
-        {{- '<|im_start|>user\n' + content + '<|im_end|>\n' }}
-    {%- elif message.role == 'assistant' %}
-        {%- set reasoning_content = '' %}
-        {%- set _explicit_reasoning = '' %}
-        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
-            {%- if message.reasoning_content is string %}
-                {%- set _explicit_reasoning = message.reasoning_content %}
-            {%- else %}
-                {%- set _explicit_reasoning = message.reasoning_content | string %}
-            {%- endif %}
-        {%- elif message.thinking is defined and message.thinking is not none %}
-            {%- if message.thinking is string %}
-                {%- set _explicit_reasoning = message.thinking %}
-            {%- else %}
-                {%- set _explicit_reasoning = message.thinking | string %}
-            {%- endif %}
-        {%- elif message.reasoning is defined and message.reasoning is not none %}
-            {%- if message.reasoning is string %}
-                {%- set _explicit_reasoning = message.reasoning %}
-            {%- else %}
-                {%- set _explicit_reasoning = message.reasoning | string %}
-            {%- endif %}
-        {%- endif %}
-        {%- if _explicit_reasoning %}
-            {%- set _lead_end = '' %}
-            {%- if content.startswith('<think>') and '</think>' in content %}
-                {%- set _lead_end = '</think>' %}
-            {%- elif content.startswith('<thinking>') and '</thinking>' in content %}
-                {%- set _lead_end = '</thinking>' %}
-            {%- elif content.startswith('</think>') %}
-                {%- set _lead_end = '</think>' %}
-            {%- elif content.startswith('</thinking>') %}
-                {%- set _lead_end = '</thinking>' %}
-            {%- endif %}
-            {%- if _lead_end %}
-                {%- set content = content.split(_lead_end)[-1].lstrip('\n') %}
-            {%- endif %}
-            {%- set reasoning_content = _explicit_reasoning %}
-        {%- else %}
-            {%- set _think_end = '' %}
-            {%- if content.startswith('</think>') %}
-                {%- set _think_end = '</think>' %}
-            {%- elif content.startswith('</thinking>') %}
-                {%- set _think_end = '</thinking>' %}
-            {%- elif '\n</think>' in content %}
-                {%- set _think_end = '\n</think>' %}
-            {%- elif '\n</thinking>' in content %}
-                {%- set _think_end = '\n</thinking>' %}
-            {%- elif '\n</ think>' in content %}
-                {%- set _think_end = '\n</ think>' %}
-            {%- elif '\n</think >' in content %}
-                {%- set _think_end = '\n</think >' %}
-            {%- elif content.startswith('<think>') and '</think>' in content %}
-                {%- set _think_end = '</think>' %}
-            {%- elif content.startswith('<thinking>') and '</thinking>' in content %}
-                {%- set _think_end = '</thinking>' %}
-            {%- endif %}
-            {%- if _think_end %}
-                {%- if 'thinking' in _think_end %}
-                    {%- set _think_start = '<thinking>' %}
-                {%- else %}
-                    {%- set _think_start = '<think>' %}
-                {%- endif %}
-                {%- set reasoning_content = content.split(_think_end)[0].rstrip('\n') %}
-                {%- if _think_start in reasoning_content %}
-                    {%- set reasoning_content = reasoning_content.split(_think_start)[-1].lstrip('\n') %}
-                {%- endif %}
-                {%- set content = content.split(_think_end)[-1].lstrip('\n') %}
-            {%- endif %}
-        {%- endif %}
-        {%- set reasoning_content = reasoning_content | trim %}
-        {%- if (_preserve_thinking or loop.index0 > ns.last_query_index) %}
-            {{- '<|im_start|>assistant\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
-        {%- else %}
-            {{- '<|im_start|>assistant\n' + content }}
-        {%- endif %}
-        {%- if message.tool_calls is defined and message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
-            {%- for tool_call in message.tool_calls %}
-                {%- if tool_call.function is defined and tool_call.function is not none %}
-                    {%- set tc = tool_call.function %}
-                {%- else %}
-                    {%- set tc = tool_call %}
-                {%- endif %}
-                {%- set tc_name = tc.name if (tc.name is defined and tc.name is not none) else '' %}
-                {%- if _tool_format == 'json' %}
-                    {%- if loop.first %}
-                        {%- if content | trim %}
-                            {{- '\n\n' }}
-                        {%- endif %}
-                    {%- else %}
-                        {{- '\n' }}
-                    {%- endif %}
-                    {%- set _args = '{}' %}
-                    {%- if tc.arguments is defined and tc.arguments is not none %}
-                        {%- if tc.arguments is mapping %}
-                            {%- set _args = tc.arguments | tojson %}
-                        {%- elif tc.arguments is string %}
-                            {%- if tc.arguments %}
-                                {%- set _args = tc.arguments %}
-                            {%- endif %}
-                        {%- else %}
-                            {%- set _args = tc.arguments | tojson %}
-                        {%- endif %}
-                    {%- endif %}
-                    {{- '<tool_call>\n{"name": ' }}{{- tc_name | tojson }}{{- ', "arguments": ' }}{{- _args }}{{- '}\n</tool_call>' }}
-                {%- else %}
-                    {%- if loop.first %}
-                        {%- if content | trim %}
-                            {{- '\n\n<tool_call>\n<function=' + tc_name + '>\n' }}
-                        {%- else %}
-                            {{- '<tool_call>\n<function=' + tc_name + '>\n' }}
-                        {%- endif %}
-                    {%- else %}
-                        {{- '\n<tool_call>\n<function=' + tc_name + '>\n' }}
-                    {%- endif %}
-                    {%- if tc.arguments is defined and tc.arguments is not none %}
-                        {%- if tc.arguments is mapping %}
-                            {%- for args_name, args_value in tc.arguments.items() %}
-                                {{- '<parameter=' + args_name + '>\n' }}
-                                {%- if args_value is string %}
-                                    {%- set _av = args_value %}
-                                {%- else %}
-                                    {%- set _av = args_value | tojson %}
-                                {%- endif %}
-                                {%- if max_tool_arg_chars > 0 and _av | length > max_tool_arg_chars %}
-                                    {{- _av[:max_tool_arg_chars] + '\n[TRUNCATED - original length ' ~ (_av | length | string) ~ ' chars]' }}
-                                {%- else %}
-                                    {{- _av }}
-                                {%- endif %}
-                                {{- '\n</parameter>\n' }}
-                            {%- endfor %}
-                        {%- else %}
-                            {%- if tc.arguments is string %}
-                                {%- set _raw_args = tc.arguments %}
-                            {%- else %}
-                                {%- set _raw_args = tc.arguments | tojson %}
-                            {%- endif %}
-                            {%- if _raw_args %}
-                                {%- if max_tool_arg_chars > 0 and _raw_args | length > max_tool_arg_chars %}
-                                    {{- _raw_args[:max_tool_arg_chars] + '\n[TRUNCATED - original length ' ~ (_raw_args | length | string) ~ ' chars]' }}
-                                {%- else %}
-                                    {{- _raw_args }}
-                                {%- endif %}
-                            {%- endif %}
-                        {%- endif %}
-                    {%- endif %}
-                    {{- '</function>\n</tool_call>' }}
-                {%- endif %}
-            {%- endfor %}
-        {%- endif %}
-        {{- '<|im_end|>\n' }}
-    {%- elif message.role == 'tool' %}
-        {%- set _content_lower = content | lower %}
-        {%- set _content_head = _content_lower[:120] %}
-        {%- set _is_code_or_grep = ('throw new ' in _content_lower or 'throw error' in _content_lower or 'console.error' in _content_lower or 'logger.error' in _content_lower or 'logging.error' in _content_lower or 'import ' in _content_head or 'def ' in _content_head or 'function ' in _content_head) %}
-        {%- set _exit_code_zero = ('exit code: 0' in _content_head or 'process exited with code 0' in _content_head) %}
-        {%- set _error_field_ok = ('"error": null' in _content_head or '"error":null' in _content_head or '"error": false' in _content_head or '"error":false' in _content_head or '"error": ""' in _content_head or '"error":""' in _content_head) %}
-        {%- set _strong_error = (('"error":' in _content_head and not _error_field_ok) or '"status": "error"' in _content_head or '"status":"error"' in _content_head or 'traceback (most recent call last):' in _content_head or 'command not found' in _content_head or 'invalid syntax' in _content_head or 'fatal:' in _content_head or (('exit code: ' in _content_head or 'process exited with code' in _content_head) and not _exit_code_zero) or _content_head.startswith('exception:') or _content_head.startswith('failed to ')) %}
-        {%- set _weak_error = ('error:' in _content_head or 'err!' in _content_head) %}
-        {%- set _weak_suppressed = ('$ ' in _content_head or 'took ' in _content_head or content | length >= 600) %}
-        {%- if not _is_code_or_grep and (_strong_error or (_weak_error and not _weak_suppressed)) %}
-            {%- set ns2.consecutive_failures = ns2.consecutive_failures + 1 %}
-        {%- else %}
-            {%- set ns2.consecutive_failures = 0 %}
-        {%- endif %}
-        {%- if ns2.prev_role != 'tool' %}
-            {{- '<|im_start|>user' }}
-        {%- endif %}
-        {%- if _tool_format != 'json' and max_tool_response_chars > 0 and content | length > max_tool_response_chars %}
-            {%- set content = content[:max_tool_response_chars] + '\n[TRUNCATED - original length ' ~ (content | length | string) ~ ' chars]' %}
-        {%- endif %}
-        {{- '\n<tool_response>\n' + content }}
-        {%- if ns2.consecutive_failures >= 2 %}
-            {{- '\n\n⚠️ SYSTEM WARNING: ' ~ ns2.consecutive_failures ~ ' consecutive tool errors detected. Your previous approach is incorrect. You MUST use a fundamentally different approach or corrected arguments.' }}
-        {%- elif ns2.consecutive_failures == 1 %}
-            {{- '\n\n⚠️ SYSTEM WARNING: The previous tool call returned an error. Diagnose the failure and retry with completely corrected arguments.' }}
-        {%- endif %}
-        {{- '\n</tool_response>' }}
-        {%- if loop.last %}
-            {{- '<|im_end|>\n' }}
-        {%- else %}
-            {%- set _next_role = _msgs[loop.index0 + 1].role %}
-            {%- if _next_role != 'tool' %}
-                {{- '<|im_end|>\n' }}
-            {%- endif %}
-        {%- endif %}
-    {%- else %}
-        {{- '<|im_start|>user\n[' + message.role + ']: ' + content + '<|im_end|>\n' }}
-    {%- endif %}
-    {%- set ns2.prev_role = message.role %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|im_start|>assistant\n' }}
-    {%- if not ns_state.thinking %}
-        {{- '<think>\n\n</think>\n\n' }}
-    {%- else %}
-        {{- '<think>\n' }}
-    {%- endif %}
-{%- endif %}

scripts/.AGENTTRASH/download-q8agent.sh.rocmfpx

@@ -1,86 +0,0 @@
-#!/usr/bin/env bash
-# Download the kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT payload for
-# frank-medium from HuggingFace into
-# /home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT.
-#
-# Run on Dankserver (the box that serves it).  The repo is public, so the
-# download works anonymously; a token in ~/.cache/huggingface/token is used
-# when present, which keeps the ~28 GB main file clear of the anonymous
-# rate limit at full speed.
-#
-#   bash scripts/download-q8agent.sh
-#   bash scripts/download-q8agent.sh --verify-only
-#
-# The script is resumable (curl -C -) and verifies every artifact's size
-# afterwards, so a truncated file fails loudly instead of load-crashing.
-set -euo pipefail
-
-REPO="kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF"
-DIR="/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT"
-EXPECTED=(
-  "Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf:28214425952"
-  "mmproj-Qwen3.8-27B-BF16.gguf:931145888"
-  "mtp-Qwen3.8-27B-Q4_0.gguf:1680271648"
-)
-# The model card's MTP prompt-cache fix ships in the same repo as a patch;
-# fetched for reference only.  This fork's main already carries the
-# speculative boundary in the context checkpoint, so nothing applies it.
-EXTRA=(
-  "patches/mtp-prompt-cache-fix.patch"
-)
-
-cd -- "$(dirname -- "$0")/.."
-
-main() {
-  local mode="download"
-  [[ "${1:-}" == "--verify-only" ]] && mode="verify"
-  mkdir -p "$DIR"
-  cd "$DIR"
-
-  local token="" auth=()
-  if [[ -r "$HOME/.cache/huggingface/token" ]]; then
-    token="$(cat "$HOME/.cache/huggingface/token")"
-    auth=(-H "Authorization: Bearer $token")
-  else
-    echo "no HF token at $HOME/.cache/huggingface/token; downloading anonymously"
-  fi
-
-  dl() {
-    local f="$1"
-    mkdir -p "$(dirname "$f")"
-    curl -fsSL -C - -o "$f" --retry 10 --retry-delay 5 --retry-max-time 10800 \
-      "${auth[@]}" \
-      "https://huggingface.co/$REPO/resolve/main/$f"
-    echo "  done: $f ($(du -h "$f" | cut -f1))"
-  }
-
-  if [[ "$mode" == "download" ]]; then
-    echo "downloading $REPO into $DIR"
-    for entry in "${EXPECTED[@]}"; do
-      dl "${entry%%:*}"
-    done
-    for f in "${EXTRA[@]}"; do
-      dl "$f"
-    done
-  fi
-
-  echo "verifying sizes"
-  local ok=1 f want act
-  for entry in "${EXPECTED[@]}"; do
-    f="${entry%%:*}"; want="${entry##*:}"
-    act="$(stat -c%s "$f" 2>/dev/null || echo 0)"
-    if [[ "$act" -eq "$want" ]]; then
-      echo "  OK   $f ($act bytes)"
-    else
-      echo "  BAD  $f ($act bytes, want $want)" >&2
-      ok=0
-    fi
-  done
-  if [[ -z "$token" ]]; then
-    echo "note: no token was used; sizes above are the integrity check"
-  fi
-  [[ "$ok" -eq 1 ]] || exit 1
-  echo "all files present and sized correctly"
-}
-
-main "$@"

scripts/.AGENTTRASH/frank-default-npu.env

@@ -1,17 +0,0 @@
-# Tunables for frank-default-npu (FastFlowLM NPU endpoint, Dankclaw)
-# Runtime: FLM 1.0.1 on the XDNA2 NPU (50 TOPS). Model: Gemma4-E4B-IT
-# (8B, Q4_1, vision + audio + reasoning). The NPU allocates from the
-# unified pool shared with frank-default-large (the CIRU llama.cpp
-# service on the iGPU). See serverAppConfigs-docs/FastFlowLM NPU Inference.md.
-#
-# 2026-08-20: gemma4-it:e4b deployed. Footprint ~9.1 GB. 64k context.
-
-FLM_MODEL=gemma4-it:e4b
-FLM_HOST=0.0.0.0
-FLM_PORT=52626
-FLM_PMODE=performance
-FLM_ASR=0
-# 64K context (native max for gemma4-it is 32768, but NPU supports up to 256k).
-# The model's max_prefill_len is 4096, so prompts longer than that get
-# truncated at prefill time.
-FLM_CTX_LEN=65536

scripts/.AGENTTRASH/frank-default-npu.service

@@ -1,17 +0,0 @@
-[Unit]
-Description=FastFlowLM NPU inference (frank-default-npu) on Dankclaw
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FLM_NPU_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-default-npu.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-default-npu.sh
-LimitMEMLOCK=infinity
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

scripts/.AGENTTRASH/frank-dragoon.env.ik-llama.cpp

@@ -1,105 +0,0 @@
-# Tunables for frank-dragoon (mradermacher i1-Q4_K_M of
-# orcarouter/Qwen3.8-Flash-Next-Uncensored on ik_llama.cpp, Dankclaw,
-# RTX 3090 CUDA + Strix Halo CPU path, since 2026-09-15).
-#
-# Runtime: ik_llama.cpp master d85a1d7 (2026-09-15) with full qwen4exp
-# support (upstream PRs #2365/#2369/#2373 merged). Build recipe (CUDA for
-# the 3090 at sm_86, Zen5 AVX-512 IQK kernels for the CPU expert path):
-#   cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=ON \
-#     -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=86 \
-#     -DGGML_AVX512=ON -DGGML_AVX512_VBMI=ON -DGGML_AVX512_VNNI=ON \
-#     -DGGML_AVX512_BF16=ON -DLLAMA_CURL=OFF
-# The startup banner must print HAVE_FANCY_SIMD is defined — without those
-# macros the quantized GEMM silently falls back to AVX2 (no warning).
-#
-# Model: mradermacher imatrix quant of the uncensored Flash-Next (qwen4exp
-# MoE: 512 experts / 10 used, 48 layers = 12 attention + 36 GDN/ssm, QSA
-# indexer, hyper-connections, PLE n-gram table ~320M rows). 111 GiB shipped
-# as 3 parts, concatenated on disk; each part's sha256 was verified against
-# its HF LFS oid at download time.
-#
-# Placement (ikawrakow's hybrid recipe; upstream issue #2402 for the PLE):
-#   - -ot "exps=CPU": ALL 512-expert tensors (121B elems, ~84 GB) live in
-#     the Strix Halo's LPDDR5X via the plain CPU backend buffer — mmap-backed
-#     page cache, ik's fastest known configuration for this shape (the
-#     author's 2x3090 + Threadripper reference box measures ~50 t/s on the
-#     same model family). The shared experts (shexp) keep their GPU-side
-#     default: they run on every token.
-#   - -ot "per_layer_token_embd=CPU": the ~32 GB PLE n-gram table follows —
-#     only a tiny slice is touched per token, so it streams from page cache.
-#   - NEVER use --cpu-moe on this host: it routes the CPU-overridden
-#     weights through the CUDA_Host PINNED buffer (measured 2026-09-15:
-#     108.12 GiB page-locked, evicted every co-tenant into swap and starved
-#     sshd into unreachability until a power cycle). -ot ...=CPU is the
-#     mmap-backed path with identical DDR5 bandwidth for resident pages,
-#     and the kernel degrades gracefully under pressure (page cache evict
-#     + re-read) instead of stranding anyone.
-#   - GGML_CUDA_NO_PINNED_WEIGHTS=1 (src/llama-load-tensors.cpp) keeps the
-#     CPU-overridden weights mmapped and leaves only the small staging
-#     buffers pinned. (GGML_CUDA_NO_PINNED would also unpin staging —
-#     unnecessary here and slower for prefill transfers.)
-#
-# Sampling: greedy-by-default to preserve the halogen-era client contract
-# (a request without temperature decodes greedy; temp 0.0 = argmax).
-# Clients that send their own temperature get their own values.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE (see
-# the 2026-08-13 HIP incident in AGENTS.md). llama.cpp reads --host and
-# --temp as CLI flags, never as environment variables.
-
-# ik_llama.cpp runtime binary (master d85a1d7 build).
-LLAMA_BIN=/home/dank/GitPackages/ik_llama.cpp/build/bin/llama-server
-
-# Model package from
-# https://huggingface.co/mradermacher/Qwen3.8-Flash-Next-Uncensored-i1-GGUF
-# (parts concatenated). The mmproj is the matching vision tower from the
-# static repo mradermacher/Qwen3.8-Flash-Next-Uncensored-GGUF — ik_llama.cpp
-# links examples/mtmd, so image input survives the runtime swap.
-MODEL_DIR=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M
-MODEL_FILE=Qwen3.8-Flash-Next-Uncensored.i1-Q4_K_M.gguf
-MMPROJ_PATH=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M/Qwen3.8-Flash-Next-Uncensored.mmproj-f16.gguf
-
-# Qwen-Sharp chat template (tracked in the repo, staged on the host). The
-# server emits reasoning in DeepSeek format so clients receive
-# reasoning_content separately instead of literal think tags in content.
-CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
-
-# Alias + network.
-ALIAS=frank-dragoon
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-
-# Serving: single 262144-token slot (the model's full context window),
-# batch 4096 / ubatch 512, 16+16 threads (the Halo CPU has 16 cores, no
-# SMT), f16 KV. The KV cache scales with the 12 full-attention layers only
-# (~6 GB f16 at 262k); the GDN/ssm layers keep constant-size state. If
-# VRAM headroom is needed, --cache-type-k/v q8_0 halves the KV footprint.
-CTX_SIZE=262144
-PARALLEL=1
-BATCH_SIZE=4096
-UBATCH_SIZE=512
-NUM_THREADS=16
-THREAD_BATCH=16
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-
-# GPU/MoE placement: everything on the 3090 except the experts and the PLE
-# table, which both live in host RAM via the CPU backend buffer (see the
-# placement notes above).
-NGL=999
-# ik_llama.cpp CUDA host-memory policy: CPU-overridden weights stay mmapped;
-# only the small staging buffers are pinned (see the placement notes above).
-GGML_CUDA_NO_PINNED_WEIGHTS=1
-
-# Prompt cache (RAM budget in MiB) and slot state dir.
-CACHE_RAM=8192
-SLOT_SAVE_PATH=/home/dank/serverAppConfigs/scripts/slot-state
-
-# Greedy-by-default (halogen contract). See sampling note above.
-TEMPERATURE=0.0
-
-# Reasoning on: DeepSeek format projects thinking into the API's
-# reasoning_content field instead of literal think tags in content;
-# unlimited reasoning budget (the model decides).
-REASONING_FORMAT=deepseek
-REASONING_BUDGET=-1

scripts/.AGENTTRASH/frank-dragoon.service.ik-llama.cpp

@@ -1,21 +0,0 @@
-[Unit]
-Description=ik_llama.cpp Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M 177B MoE (dankclaw, frank-dragoon)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-# Staging buffers for the CUDA transfers are page-locked; the weights
-# themselves stay mmapped (GGML_CUDA_NO_PINNED_WEIGHTS=1), but the staging
-# budget still needs room. Parity with the halogen quadlet's
-# Ulimit=memlock=-1:-1.
-LimitMEMLOCK=infinity
-Environment="FRANK_DRAGOON_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-dragoon.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-dragoon.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

scripts/.AGENTTRASH/frank-medium.env.rocmfpx

@@ -1,138 +0,0 @@
-# Tunables for frank-medium (kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF,
-# charlie12345/ROCmFPX llama.cpp, Dankserver, 2x AMD Radeon AI PRO R9700).
-#
-# Hardware (2026-09-15): the RTX 3090 left Dankserver and two Radeon AI PRO
-# R9700 cards (Navi 48, gfx1201, RDNA4, 32,624 MiB each, PCIe 5.0 x16) took
-# its place.  The Raphael iGPU (gfx1036) is still enumerated by HIP as the
-# third device.  There is no XGMI link between the two cards and they sit in
-# different IOMMU groups, so any cross-GPU traffic goes over PCIe.
-#
-# Runtime: charlie12345/ROCmFPX (llama.cpp fork, ROCmFPX quant family; the
-# Q8_0_ROCMFPX_AGENT tensor type exists nowhere else - stock llama.cpp cannot
-# load this GGUF).  Built for gfx1201 with the fork's self-contained ROCm
-# 7.14 toolchain so the host's stale /opt/rocm-6.3.3 install is never used:
-#
-#   cd /home/dank/GitPackages/charlie-ROCmFPX
-#   env JOBS=8 ./scripts/build-rocmfp4-rocm714-local.sh
-#
-# gfx1201 must be the build target: a gfx1200 binary links, loads the model
-# and then segfaults on this card (fork's docs/BUILD-AMD-ARCHITECTURES.md).
-#
-# Model: kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT - Q8_0_ROCMFPX_AGENT
-# (ftype 115), 26.28 GiB, 8.39 bpw, arch qwen35 (MoE), quantized from a
-# 51.3 GiB BF16 source.  The AGENT routing keeps 12 more attention-output
-# projections at full Q8_0 than the plain 8-bit build, which buys a higher
-# MTP draft acceptance (0.953 vs 0.911) and that is the whole point of this
-# checkpoint.  Model card documents 131,072 context.
-#
-# Parallelism (--split-mode layer, operator call 2026-09-15 "pipeline
-# parallelism"): layers are distributed across the two cards in order and
-# activations hop PCIe at the boundary.  Measured with llama-bench
-# (pp4096 / tg128 / same at depth 32768, f16 KV, fa on, 3 reps):
-#
-#   single R9700   1160.9 / 19.42   (fits: 26.27 GiB weights, ~5 GiB left)
-#   layer  2x      1991.2 / 18.76   859.1 / 17.64
-#   tensor 2x       271.8 / 26.26   228.6 / 25.09
-#
-# Tensor parallel wins decode (+40 %) but collapses prefill 7x: this build
-# has no RCCL (llama.cpp logs "AllReduce init failed; falling back to
-# meta-backend butterfly"), so every layer pays a slow cross-card reduction.
-# Agentic traffic is prefill-heavy, so layer split wins the workload.  Revisit
-# if the fork ships a working RCCL tensor path.
-#
-# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The
-# ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
-# incident).  llama.cpp reads --host/--port/--temp as CLI flags, never as
-# env vars.
-
-# charlie12345/ROCmFPX llama-server (self-contained ROCm 7.14 build, RPATH
-# points at the bundled runtime libs; no LD_LIBRARY_PATH needed).
-LLAMA_BIN=/home/dank/GitPackages/charlie-ROCmFPX/build-rdna4-rocm714/bin/llama-server
-
-# Model package, fetched with scripts/download-q8agent.sh:
-#   Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf   26.28 GiB  main weights
-#   mtp-Qwen3.8-27B-Q4_0.gguf              1.68 GiB  MTP draft head
-#   mmproj-Qwen3.8-27B-BF16.gguf           0.93 GiB  vision tower (unused)
-MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT
-MODEL_FILE=Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf
-DRAFT_MODEL_FILE=mtp-Qwen3.8-27B-Q4_0.gguf
-
-# Alias + network.  The port is the fleet's dankserver endpoint; the alias is
-# what clients ask for, and it replaces the retired `frank-small`.
-ALIAS=frank-medium
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-
-# Device placement.  HIP_VISIBLE_DEVICES hides the iGPU (device 2) so nothing
-# can drift onto shared system RAM; DEVICES is what llama.cpp splits across.
-HIP_VISIBLE_DEVICES=0,1
-DEVICES=ROCm0,ROCm1
-SPLIT_MODE=layer
-
-# TENSOR_SPLIT empty = layers distributed by free VRAM (equal here).
-TENSOR_SPLIT=
-
-NGL=999
-# Auto-fit has no business resizing a context we set explicitly.
-FIT=off
-FLASH_ATTN=on
-
-# 131,072 tokens, one slot (the model card's documented window; the GGUF
-# reports n_ctx_train 262144, untested by the model author).  Layer split
-# keeps each layer's KV on the card that owns the layer, so the window is
-# bounded by per-card free memory: ~5.6 GiB of KV per card at 131072 f16.
-CTX_SIZE=131072
-PARALLEL=1
-
-# 26.28 GiB of weights + MTP draft + KV cache leaves ~15 GiB per card at this
-# context, so the batch shape is chosen for prefill throughput, not memory.
-BATCH_SIZE=2048
-UBATCH_SIZE=512
-NUM_THREADS=8
-THREAD_BATCH=8
-
-# f16 K/V: an agent checkpoint is the wrong place to spend KV precision.
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-CTX_CHECKPOINTS=8
-CACHE_RAM=8192
-
-# Sampling: the checkpoint's instruct table.
-TEMPERATURE=0.7
-TOP_P=0.8
-TOP_K=20
-MIN_P=0.0
-PRESENCE_PENALTY=1.5
-
-# Reasoning on; DeepSeek format projects the trace into reasoning_content
-# instead of literal thinking tags in content.
-REASONING=on
-REASONING_FORMAT=deepseek
-REASONING_BUDGET=-1
-
-# Chat template: empty = the template embedded in the GGUF.  Point this at
-# /home/dank/serverAppConfigs/scripts/chat-template.jinja to force the repo's
-# Sharp agent template instead.
-CHAT_TEMPLATE_FILE=
-CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true}'
-
-# MTP speculative decoding.  n_max 6 / p_min 0.6 is the fork's measured
-# sweet spot for a MTP head with high acceptance; p_min 0.0 drafts
-# low-probability tokens that get rejected and makes MTP a net loss.
-SPEC_TYPE=draft-mtp
-SPEC_DRAFT_N_MAX=6
-SPEC_DRAFT_N_MIN=0
-SPEC_DRAFT_P_MIN=0.6
-SPEC_DRAFT_P_SPLIT=0.10
-SPEC_DRAFT_NGL=999
-SPEC_DRAFT_TYPE_K=f16
-SPEC_DRAFT_TYPE_V=f16
-SPEC_DRAFT_POLL=1
-SPEC_DRAFT_POLL_BATCH=1
-# The draft head rides the card that holds the target model's LAST layers:
-# the MTP head consumes the final hidden state, so pinning it to ROCm1 keeps
-# the per-token hop off the wire.  (Under the abandoned tensor split the
-# draft must also be pinned to exactly one device or the meta-device KV
-# allocation aborts: GGML_ASSERT(buffer) in ggml-backend.cpp, measured
-# 2026-09-15.)
-SPEC_DRAFT_DEVICE=ROCm1

scripts/.AGENTTRASH/frank-medium.service.rocmfpx

@@ -1,16 +0,0 @@
-[Unit]
-Description=charlie12345/ROCmFPX llama.cpp serving kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT qwen35 MoE (dankserver, frank-medium, 2x Radeon AI PRO R9700)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FRANK_MEDIUM_ENV_FILE=/home/dank/serverAppConfigs/scripts/frank-medium.env"
-ExecStart=/home/dank/serverAppConfigs/scripts/serve-frank-medium.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target

scripts/.AGENTTRASH/serve-frank-default-npu.sh

@@ -1,49 +0,0 @@
-#!/usr/bin/env bash
-# Serve the FastFlowLM (FLM) NPU endpoint — frank-default-npu.
-#
-# Runs flm serve with the model tag in frank-default-npu.env. The NPU
-# (XDNA2, 50 TOPS) is a single-lane device: generations serialize in FIFO
-# order, so this is a background/triage endpoint. The NPU shares the ~30 GiB
-# unified pool with frank-default-large (the CIRU llama.cpp service on the
-# iGPU); see serverAppConfigs-docs/FastFlowLM NPU Inference.md for the memory budget.
-#
-# NOTE: FLM requires unlimited memlock. The unit sets LimitMEMLOCK=infinity.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FLM_NPU_ENV_FILE:-$SCRIPT_DIR/frank-default-npu.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -------------------
-: "${FLM_BIN:=/usr/bin/flm}"
-: "${FLM_MODEL:=gemma4-it:e4b}"
-: "${FLM_HOST:=0.0.0.0}"
-: "${FLM_PORT:=52626}"
-: "${FLM_PMODE:=performance}"
-: "${FLM_ASR:=0}"
-: "${FLM_CTX_LEN:=-1}"
-
-if [[ ! -x "$FLM_BIN" ]]; then
-    echo "missing flm binary: $FLM_BIN" >&2
-    exit 1
-fi
-
-# --- optional flags ----------------------------------------------------------
-OPT_ARGS=()
-if [[ "${FLM_ASR}" != "0" ]]; then
-    OPT_ARGS+=(-a "${FLM_ASR}")
-fi
-if [[ "${FLM_CTX_LEN}" != "-1" ]]; then
-    OPT_ARGS+=(-c "${FLM_CTX_LEN}")
-fi
-
-exec "$FLM_BIN" serve "$FLM_MODEL" \
-    --host "$FLM_HOST" \
-    -p "$FLM_PORT" \
-    --pmode "$FLM_PMODE" \
-    "${OPT_ARGS[@]}"

scripts/.AGENTTRASH/serve-frank-dragoon.sh.ik-llama.cpp

@@ -1,123 +0,0 @@
-#!/usr/bin/env bash
-# Serve mradermacher/Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M as frank-dragoon
-# via ik_llama.cpp on Dankclaw.
-#
-# Topology (ikawrakow's hybrid recipe; upstream issue #2402 for the PLE):
-# the RTX 3090 (CUDA, sm_86) takes the dense/attention/output weights and
-# the KV cache (-ngl 999); ALL MoE expert tensors and the ~32 GB PLE
-# n-gram table stay in the Strix Halo's LPDDR5X via the plain CPU backend
-# buffer (-ot ...=CPU — mmap-backed page cache; only a tiny slice of PLE is
-# touched per token). NEVER use --cpu-moe on this host: it routes the
-# CPU-overridden weights through the CUDA_Host PINNED buffer (measured
-# 108.12 GiB page-locked on 2026-09-15, which evicted every co-tenant into
-# swap and starved sshd into unreachability until a power cycle). NEVER add
-# --no-mmap — the STRIX-era lesson transfers directly (the cgroup killer
-# takes the process with nothing in the server log).
-#
-# Runtime: ik_llama.cpp master d85a1d7 built with CUDA (sm_86) + Zen5
-# AVX-512 IQK kernels; the startup banner must show HAVE_FANCY_SIMD
-# is defined. Flag set verified against this binary's --help before this
-# script was written. ik has no --cache-prompt/--cache-idle-slots (prompt
-# caching is its default behavior) and no --alias: it is a single-model
-# server and reports the GGUF's general.name at /v1/models.
-#
-# Sampling: greedy-by-default (halogen client contract) — clients that
-# send their own temperature get their own values.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_DRAGOON_ENV_FILE:-$SCRIPT_DIR/frank-dragoon.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -------------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/ik_llama.cpp/build/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M}"
-: "${MODEL_FILE:=Qwen3.8-Flash-Next-Uncensored.i1-Q4_K_M.gguf}"
-: "${MMPROJ_PATH:=$MODEL_DIR/Qwen3.8-Flash-Next-Uncensored.mmproj-f16.gguf}"
-: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-: "${CTX_SIZE:=262144}"
-: "${PARALLEL:=1}"
-: "${BATCH_SIZE:=4096}"
-: "${UBATCH_SIZE:=512}"
-: "${NUM_THREADS:=16}"
-: "${THREAD_BATCH:=16}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${NGL:=999}"
-: "${CPU_MOE:=on}"
-: "${FLASH_ATTN:=on}"
-: "${TEMPERATURE:=0.0}"
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${REASONING_BUDGET:=-1}"
-: "${CACHE_RAM:=8192}"
-: "${SLOT_SAVE_PATH:=$SCRIPT_DIR/slot-state}"
-# Hard guard: on this host CUDA pinned host memory strands the co-tenants
-# (measured 2026-09-15: a default-policy start tried to page-lock 108.12 GiB,
-# evicted every co-tenant into swap and starved sshd into unreachability
-# until a power cycle). GGML_CUDA_NO_PINNED_WEIGHTS=1 keeps the
-# CPU-overridden weights mmapped (src/llama-load-tensors.cpp); the env file
-# sets it. Refuse to run without it.
-if [[ "${GGML_CUDA_NO_PINNED_WEIGHTS:-}" != "1" ]]; then
-    echo "frank-dragoon: refusing to start — GGML_CUDA_NO_PINNED_WEIGHTS=1 is mandatory on this host" >&2
-    exit 1
-fi
-
-mkdir -p "$SLOT_SAVE_PATH"
-
-# The UVM device node is created lazily by nvidia-modprobe on the first
-# CUDA open after boot; make sure it exists before the server needs it.
-nvidia-modprobe -u -c=0 2>/dev/null || true
-
-CPU_MOE_ARGS=()
-if [[ "$CPU_MOE" == "on" ]]; then
-    # -ot ...=CPU (plain CPU backend buffer) is the mmap-backed path. NEVER
-    # swap this for --cpu-moe: that routes the weights through the CUDA_Host
-    # PINNED buffer (108.12 GiB measured) and strands the co-tenants.
-    CPU_MOE_ARGS=(-ot "exps=CPU" -ot "per_layer_token_embd=CPU")
-fi
-
-MMPROJ_ARGS=()
-if [[ -n "${MMPROJ_PATH:-}" && -f "$MMPROJ_PATH" ]]; then
-    MMPROJ_ARGS=(--mmproj "$MMPROJ_PATH")
-fi
-
-TEMPLATE_ARGS=()
-if [[ -n "${CHAT_TEMPLATE_FILE:-}" && -f "$CHAT_TEMPLATE_FILE" ]]; then
-    TEMPLATE_ARGS=(--chat-template-file "$CHAT_TEMPLATE_FILE")
-else
-    TEMPLATE_ARGS=(--jinja)
-fi
-
-exec "$LLAMA_BIN" \
-    --model "$MODEL_DIR/$MODEL_FILE" \
-    "${TEMPLATE_ARGS[@]}" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --gpu-layers "$NGL" \
-    "${CPU_MOE_ARGS[@]}" \
-    --flash-attn "$FLASH_ATTN" \
-    --parallel "$PARALLEL" \
-    --ctx-size "$CTX_SIZE" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --threads "$NUM_THREADS" \
-    --threads-batch "$THREAD_BATCH" \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --cache-ram "$CACHE_RAM" \
-    --slot-save-path "$SLOT_SAVE_PATH" \
-    --ctx-checkpoints 16 \
-    --metrics \
-    --temp "$TEMPERATURE" \
-    --reasoning "$REASONING" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget "$REASONING_BUDGET" \
-    "${MMPROJ_ARGS[@]}"

scripts/.AGENTTRASH/serve-frank-medium.sh.rocmfpx

@@ -1,215 +0,0 @@
-#!/usr/bin/env bash
-# Serve kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF as frank-medium via
-# the charlie12345/ROCmFPX llama.cpp runtime on Dankserver
-# (2x AMD Radeon AI PRO R9700, Navi 48, gfx1201, 32 GB each).
-#
-# Runtime: charlie12345/ROCmFPX main (c49ebdb, 2026-08-22), built for
-# gfx1201 with the fork's self-contained ROCm toolchain:
-#
-#   cd /home/dank/GitPackages/charlie-ROCmFPX
-#   env JOBS=8 ./scripts/build-rocmfp4-rocm714-local.sh
-#   -> build-rdna4-rocm714/bin/llama-server
-#
-# That script downloads the gfx120X-all TheRock ROCm 7.14 toolchain into
-# ~/.local/share/rocm-7.14.0a20260624, builds with
-# -DCMAKE_HIP_ARCHITECTURES="gfx1200;gfx1201", copies the ROCm runtime
-# (hip/hsa/rocblas/hipblaslt + their kernel libraries) next to the binary and
-# sets RPATH=$ORIGIN/../lib on it.  The resulting service is self-contained:
-# no LD_LIBRARY_PATH, and the host's stale /opt/rocm-6.3.3 cannot leak in.
-# gfx1201 is NOT interchangeable with gfx1200 on this card (the fork's
-# docs/BUILD-AMD-ARCHITECTURES.md: a gfx1200 build links, loads and then
-# segfaults), and the build verifies the emitted code objects afterwards.
-#
-# Model: kingjones Qwen3.8-27B-ROCmFPX-Q8_0-AGENT (Q8_0_ROCMFPX_AGENT,
-# ftype 115, arch qwen35 MoE), 26.28 GiB main file, plus a separate
-# MTP draft head and an mmproj vision tower.  8.39 bpw; the AGENT routing
-# keeps 13 of the 17 attention-output projections at full Q8_0, which is
-# what makes the MTP draft land ~0.95 of its guesses.  A stock llama.cpp
-# cannot load this GGUF at all - Q8_0_ROCMFPX exists only in this fork.
-#
-# Parallelism: --split-mode layer across both cards (operator call
-# 2026-09-15).  Layers are distributed in order and activations hop PCIe at
-# the boundary; measured llama-bench: layer 1991/18.8 tok/s (pp4096/tg128)
-# vs tensor 272/26.3 and single-card 1161/19.4.  Tensor wins decode +40 %
-# but its prefill collapses 7x on this build (no RCCL: "AllReduce init
-# failed; falling back to meta-backend butterfly"), so layer split wins the
-# prefill-heavy agentic workload.
-#
-# Tunables come from frank-medium.env unless FRANK_MEDIUM_ENV_FILE
-# overrides that path.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_MEDIUM_ENV_FILE:-$SCRIPT_DIR/frank-medium.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -----------------
-: "${LLAMA_BIN:=/home/dank/GitPackages/charlie-ROCmFPX/build-rdna4-rocm714/bin/llama-server}"
-: "${MODEL_DIR:=/home/dank/models/kingjones-Qwen3.8-27B-ROCMFPX-Q8_0-AGENT}"
-: "${MODEL_FILE:=Qwen3.8-27B-Q8_0_ROCMFPX_AGENT.gguf}"
-: "${DRAFT_MODEL_FILE:=mtp-Qwen3.8-27B-Q4_0.gguf}"
-: "${ALIAS:=frank-medium}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-
-# Devices: ROCm0/ROCm1 are the two R9700s; the Raphael iGPU enumerates as
-# ROCm2 (gfx1036) and is hidden from HIP so nothing can drift onto it.
-: "${HIP_VISIBLE_DEVICES:=0,1}"
-: "${DEVICES:=ROCm0,ROCm1}"
-: "${SPLIT_MODE:=tensor}"
-: "${TENSOR_SPLIT:=}"
-: "${NGL:=999}"
-: "${FIT:=off}"
-: "${FLASH_ATTN:=on}"
-
-: "${CTX_SIZE:=131072}"
-: "${PARALLEL:=1}"
-: "${BATCH_SIZE:=2048}"
-: "${UBATCH_SIZE:=512}"
-: "${NUM_THREADS:=8}"
-: "${THREAD_BATCH:=8}"
-: "${CACHE_TYPE_K:=f16}"
-: "${CACHE_TYPE_V:=f16}"
-: "${CTX_CHECKPOINTS:=8}"
-: "${CACHE_RAM:=8192}"
-
-# Sampling: the checkpoint's instruct table.
-: "${TEMPERATURE:=0.7}"
-: "${TOP_P:=0.8}"
-: "${TOP_K:=20}"
-: "${MIN_P:=0.0}"
-: "${PRESENCE_PENALTY:=1.5}"
-
-# Reasoning: the model is an agent checkpoint; keep the trace and project it
-# into the API's reasoning_content field rather than literal thinking tags.
-: "${REASONING:=on}"
-: "${REASONING_FORMAT:=deepseek}"
-: "${REASONING_BUDGET:=-1}"
-
-# Chat template: empty means "use the template embedded in the GGUF".
-: "${CHAT_TEMPLATE_FILE:=}"
-: "${CHAT_TEMPLATE_KWARGS:={\"enable_thinking\":true,\"preserve_thinking\":true}}"
-
-# MTP draft head (separate GGUF, --spec-type draft-mtp).  SPEC_DRAFT_DEVICE
-# must name exactly one device: under tensor mode an unsplit draft joins the
-# meta-device KV allocation and aborts while building the KV cache
-# (GGML_ASSERT(buffer) in ggml-backend.cpp, 2026-09-15).
-: "${SPEC_TYPE:=draft-mtp}"
-: "${SPEC_DRAFT_N_MAX:=6}"
-: "${SPEC_DRAFT_N_MIN:=0}"
-: "${SPEC_DRAFT_P_MIN:=0.6}"
-: "${SPEC_DRAFT_P_SPLIT:=0.10}"
-: "${SPEC_DRAFT_NGL:=999}"
-: "${SPEC_DRAFT_DEVICE:=}"
-: "${SPEC_DRAFT_TYPE_K:=f16}"
-: "${SPEC_DRAFT_TYPE_V:=f16}"
-: "${SPEC_DRAFT_POLL:=1}"
-: "${SPEC_DRAFT_POLL_BATCH:=1}"
-
-# Text only: the server must not try to autoload the vision tower.  Vision
-# stays on frank-dragoon (Dankclaw), which is where the fleet routes images.
-NO_MMPROJ="${NO_MMPROJ:-1}"
-
-export HIP_VISIBLE_DEVICES
-
-MODEL="$MODEL_DIR/$MODEL_FILE"
-if [[ ! -x "$LLAMA_BIN" ]]; then
-    echo "missing executable runtime: $LLAMA_BIN" >&2
-    echo "build it with: cd $(dirname "$(dirname "$LLAMA_BIN")")/.. && env JOBS=8 ./scripts/build-rocmfp4-rocm714-local.sh" >&2
-    exit 1
-fi
-if [[ ! -r "$MODEL" ]]; then
-    echo "missing or unreadable required artifact: $MODEL" >&2
-    echo "fetch it with: bash $SCRIPT_DIR/download-q8agent.sh" >&2
-    exit 1
-fi
-if [[ -n "$CHAT_TEMPLATE_FILE" && ! -r "$CHAT_TEMPLATE_FILE" ]]; then
-    echo "missing or unreadable chat template: $CHAT_TEMPLATE_FILE" >&2
-    exit 1
-fi
-
-# --- speculative decoding (MTP draft head) --------------------------------
-SPEC_ARGS=()
-if [[ -n "$SPEC_TYPE" && "$SPEC_TYPE" != "none" ]]; then
-    SPEC_ARGS=(
-        --spec-type "$SPEC_TYPE"
-        --spec-draft-n-max "$SPEC_DRAFT_N_MAX"
-        --spec-draft-n-min "$SPEC_DRAFT_N_MIN"
-        --spec-draft-p-min "$SPEC_DRAFT_P_MIN"
-        --spec-draft-p-split "$SPEC_DRAFT_P_SPLIT"
-    )
-    if [[ "$SPEC_TYPE" == *draft-mtp* ]]; then
-        DRAFT_MODEL="$MODEL_DIR/$DRAFT_MODEL_FILE"
-        if [[ ! -r "$DRAFT_MODEL" ]]; then
-            echo "missing or unreadable draft model: $DRAFT_MODEL" >&2
-            exit 1
-        fi
-        SPEC_ARGS+=(
-            --spec-draft-model "$DRAFT_MODEL"
-            --spec-draft-ngl "$SPEC_DRAFT_NGL"
-            --spec-draft-type-k "$SPEC_DRAFT_TYPE_K"
-            --spec-draft-type-v "$SPEC_DRAFT_TYPE_V"
-            --spec-draft-poll "$SPEC_DRAFT_POLL"
-            --spec-draft-poll-batch "$SPEC_DRAFT_POLL_BATCH"
-        )
-        if [[ -n "$SPEC_DRAFT_DEVICE" ]]; then
-            SPEC_ARGS+=(--spec-draft-device "$SPEC_DRAFT_DEVICE")
-        fi
-    fi
-fi
-
-# --- template + placement -------------------------------------------------
-TEMPLATE_ARGS=()
-if [[ -n "$CHAT_TEMPLATE_FILE" ]]; then
-    TEMPLATE_ARGS+=(--chat-template-file "$CHAT_TEMPLATE_FILE")
-    TEMPLATE_ARGS+=(--chat-template-kwargs "$CHAT_TEMPLATE_KWARGS")
-fi
-
-PLACEMENT_ARGS=(--device "$DEVICES" --split-mode "$SPLIT_MODE")
-if [[ -n "$TENSOR_SPLIT" ]]; then
-    PLACEMENT_ARGS+=(--tensor-split "$TENSOR_SPLIT")
-fi
-
-MMPROJ_ARGS=()
-if [[ "$NO_MMPROJ" == "1" ]]; then
-    MMPROJ_ARGS=(--no-mmproj)
-fi
-
-exec "$LLAMA_BIN" \
-    --model "$MODEL" \
-    --alias "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --jinja \
-    --gpu-layers "$NGL" \
-    --fit "$FIT" \
-    --parallel "$PARALLEL" \
-    --ctx-size "$CTX_SIZE" \
-    --batch-size "$BATCH_SIZE" \
-    --ubatch-size "$UBATCH_SIZE" \
-    --flash-attn "$FLASH_ATTN" \
-    --cache-type-k "$CACHE_TYPE_K" \
-    --cache-type-v "$CACHE_TYPE_V" \
-    --threads "$NUM_THREADS" \
-    --threads-batch "$THREAD_BATCH" \
-    --ctx-checkpoints "$CTX_CHECKPOINTS" \
-    --cache-ram "$CACHE_RAM" \
-    --cache-prompt \
-    --metrics \
-    --temp "$TEMPERATURE" \
-    --top-p "$TOP_P" \
-    --top-k "$TOP_K" \
-    --min-p "$MIN_P" \
-    --presence-penalty "$PRESENCE_PENALTY" \
-    --reasoning "$REASONING" \
-    --reasoning-format "$REASONING_FORMAT" \
-    --reasoning-budget "$REASONING_BUDGET" \
-    "${TEMPLATE_ARGS[@]}" \
-    "${PLACEMENT_ARGS[@]}" \
-    "${MMPROJ_ARGS[@]}" \
-    "${SPEC_ARGS[@]}"

scripts/apply-protected-cast.sh

@@ -1,27 +1,45 @@
 #!/usr/bin/env bash
-# apply-protected-cast.sh — RUNS ON DANKSERVER. Rewrite the recipe's
-# PROTECTED-BEGIN/END section from Swift's OWN calibration grams: run
+# apply-protected-cast.sh — RUNS ON DANKSERVER. Rewrite a recipe's
+# PROTECTED-BEGIN/END section from the campaign's OWN calibration grams: run
 # derive-protected-experts.py over the calib dir, splice its cast lines into
 # the marked section of the recipe in place, keep the pre-edit recipe in the
-# campaign trash. Refuses to run twice (marker text says derived).
+# campaign trash. Refuses to run twice (marker text says derived), and refuses
+# when a requested target count was not reached. Run it on a COPY of the
+# template so the committed recipe stays the clean, reviewable baseline.
 set -euo pipefail
-CALIB=${1:-/home/dank/corpora/calib}
-RECIPE=${2:-/home/dank/serverAppConfigs-swift15/scripts/recipes/qwen4exp-swift15-w4dn8-i8-hc8m.recipe}
-PY=/home/dank/venvs/radcorpus/bin/python
-DERIVE=/home/dank/serverAppConfigs-swift15/scripts/derive-protected-experts.py
+SELF_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+CALIB=${1:-/home/dank/campaign/qwen38-w5nl64/calib}
+RECIPE=${2:-$SELF_DIR/recipes/qwen4exp-qwen38-w5nl64-bf16trunk.recipe}
+TARGET_COUNT=${3:-0}
+PY=${PY:-/home/dank/venvs/radcorpus/bin/python}
+DERIVE=${DERIVE:-$SELF_DIR/derive-protected-experts.py}
 TS=$(date +%Y%m%d-%H%M%S)
+# OUT and TRASH_DIR are overridable so the seam can drive the whole script in a
+# scratch directory; on the box they are the campaign's usual places.
+OUT=${OUT:-/tmp/protected-cast-$TS.txt}
+TRASH_DIR=${TRASH_DIR:-/home/dank/.AGENTTRASH}
 
 grep -q "derive-protected-experts.py rewrote" "$RECIPE" && {
     echo "recipe already carries derived cast lines; refusing to re-derive" >&2; exit 1; }
 grep -q "PROTECTED-BEGIN" "$RECIPE" || { echo "no PROTECTED markers in $RECIPE" >&2; exit 1; }
 
-"$PY" "$DERIVE" "$CALIB" > "/tmp/protected-cast-$TS.txt"
-N=$(grep -c 'cast dtype=bf16' "/tmp/protected-cast-$TS.txt")
-[ "$N" -ge 2 ] || { echo "derive produced $N cast lines; refusing" >&2; exit 1; }
-echo "derived $N protected experts -> /tmp/protected-cast-$TS.txt"
+ARGS=("$DERIVE" "$CALIB")
+if [ "$TARGET_COUNT" -gt 0 ]; then
+    ARGS+=(--target-count "$TARGET_COUNT")
+fi
+"$PY" "${ARGS[@]}" > "$OUT"
+N=$(grep -c 'cast dtype=bf16' "$OUT")
+[ "$N" -ge 2 ] || { echo "derive produced $N cast lines; refusing (see $OUT)" >&2; exit 1; }
+if [ "$TARGET_COUNT" -gt 0 ] && [ "$N" -lt "$TARGET_COUNT" ]; then
+    echo "derive reached $N protected experts, target was $TARGET_COUNT; refusing to convert" >&2
+    echo "       (the bar sweep bottomed out: the recording is too thin or the target too high)" >&2
+    exit 1
+fi
+echo "derived $N protected experts -> $OUT"
 
-cp -f "$RECIPE" "/home/dank/.AGENTTRASH/$TS-qwen4exp-swift15-w4dn8-i8-hc8m.recipe"
-"$PY" - "$RECIPE" "/tmp/protected-cast-$TS.txt" <<'PYEOF'
+mkdir -p "$TRASH_DIR"
+cp -f "$RECIPE" "$TRASH_DIR/$TS-$(basename "$RECIPE")"
+"$PY" - "$RECIPE" "$OUT" <<'PYEOF'
 import sys
 recipe, castfile = sys.argv[1], sys.argv[2]
 lines = open(recipe).read().splitlines()
@@ -35,7 +53,7 @@ for l in lines:
     elif 'PROTECTED-END' in l:
         insec = False
         out.append(l)
-        out.append('# (derive-protected-experts.py rewrote this section from Swift\'s own grams)')
+        out.append('# (derive-protected-experts.py rewrote this section from the campaign grams)')
     elif not insec:
         out.append(l)
 open(recipe, 'w').write('\n'.join(out) + '\n')

scripts/build-qwen38-bf16-rad.sh

@@ -0,0 +1,220 @@
+#!/usr/bin/env bash
+# build-qwen38-bf16-rad.sh — RUNS ON DANKSERVER. rad-convert the vendor BF16
+# checkpoint /home/dank/models/Qwen3.8-Flash-Next into
+# /home/dank/models/rad/qwen38-bf16.rad with NO recipe and NO --reuse: a weight
+# no rule matches keeps the checkpoint's encoding, so every tensor stays the
+# bf16 it is in the safetensors and the container is the checkpoint's own
+# numbers behind a .rad header.
+#
+# This file is the campaign's measuring stick, twice over: scripts/
+# run-qwen38-bf16.sh kldref records the KLD reference logits from it (every
+# arm's --kld-ref is scored against that record) and the same container serves
+# with the calibration tap to write the Grams that derive the protected-expert
+# list and feed GPTQ. A reference that is not the vendor checkpoint, byte for
+# byte in bf16, silently moves every gate in the campaign — hence no recipe, no
+# --reuse, and the four refusal gates below.
+#
+# Why a container at all: a checkpoint dir has no mapped/file tiers, and a
+# weight only a host kernel reads (the 47.7 GiB PLE n-gram table) cannot be
+# served from one; rad-convert also bakes the tokenizer. The convert runs on
+# the HOST backend — no --device /dev/kfd, no /dev/dri — so declare resolves
+# kernels on CPU and production serving is untouched for the whole run (the
+# precedent that proved it: scripts/convert-swift15-w4dn8.sh).
+#
+# Gates, every one a refusal with exit 2 and a named reason, BEFORE anything is
+# written, cheapest first — the verifier runs last of them because its Hub gate
+# hashes 343 GiB and must not be paid for by a run that was going to refuse on
+# the output file anyway.
+#   checkpoint  the tree must be on disk; an absent dir names the command that
+#               makes one (scripts/download-qwen38-bf16.sh --fetch) and stops.
+#   free space  the convert writes ~343,323 MiB next to the ~343,323 MiB
+#               checkpoint; QWEN38_MIN_FREE_MIB (default 350000 = that figure
+#               plus 6.5 GiB of slack) is the floor. The volume that cannot
+#               hold both is discovered at minute 2, not hour 5.
+#   output      the campaign converts the reference ONCE. An existing
+#               qwen38-bf16.rad is refused; --force retires it to
+#               ~/.AGENTTRASH/<utc>-qwen38-bf16.rad (trash law: nothing is
+#               deleted, and the move is a rename on the same volume).
+#   verified    scripts/download-qwen38-bf16.sh's verify mode must pass. A
+#               failed verify exits 1, not 2: the tree being the wrong payload
+#               is a result, a missing environment is a refusal.
+#   plan        rad-convert --plan-only -v first — the oracle for "does this
+#               shape boot". A refused plan costs seconds and saves a convert.
+#
+# usage: scripts/build-qwen38-bf16-rad.sh [--dry-run] [--plan-only] [--force]
+#   --dry-run    print the argv it would exec (podman wrapping rad-convert),
+#               one shell-quoted argument a line, and exit 0. No gate runs, no
+#               container starts, nothing is written — the offline test seam.
+#               It does resolve the checkpoint and output paths through the
+#               /models mount, because an argv that carries host paths would
+#               not run either.
+#   --plan-only  run the plan and every gate except the disk and output ones —
+#               those two protect bytes the plan never writes, and this is the
+#               probe to run when the disk gate itself is what refuses
+#   --force      retire an existing output container to the trash dir first
+#
+# knobs: FRANK_QWEN38_MODELS   the host dir mounted at /models (default
+#        /home/dank/models); FRANK_QWEN38_CKPT (default $MODELS/
+#        Qwen3.8-Flash-Next, the same knob the verifier reads);
+#        FRANK_QWEN38_BF16_OUT (default $MODELS/rad/qwen38-bf16.rad);
+#        QWEN38_MIN_FREE_MIB; QWEN38_TRASH (default $HOME/.AGENTTRASH). The
+#        verifier's own census knobs (FRANK_QWEN38_SHARDS / _BYTES / _REPO)
+#        reach it through the environment untouched.
+# exit: 0 converted (or planned), 1 the checkpoint failed verification,
+#       2 refused before anything was written
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+# ONE owner of the engine pin: the digest frank-archon serves on. The reference
+# must be built by the SAME engine build that scores it, or a KLD delta is
+# partly a version delta.
+# shellcheck disable=SC1091
+source "$SCRIPT_DIR/frank-archon.env"
+IMAGE="${FRANK_ARCHON_IMAGE:?FRANK_ARCHON_IMAGE must name the radiance image}"
+
+MODELS="${FRANK_QWEN38_MODELS:-/home/dank/models}"
+CKPT="${FRANK_QWEN38_CKPT:-$MODELS/Qwen3.8-Flash-Next}"
+OUT="${FRANK_QWEN38_BF16_OUT:-$MODELS/rad/qwen38-bf16.rad}"
+TRASH="${QWEN38_TRASH:-$HOME/.AGENTTRASH}"
+MIN_FREE_MIB="${QWEN38_MIN_FREE_MIB:-350000}"
+LOG="/home/dank/logs/qwen38_bf16_convert.log"
+
+DRY=0
+PLAN_ONLY=0
+FORCE=0
+while [ $# -gt 0 ]; do
+    case "$1" in
+        --dry-run)   DRY=1 ;;
+        --plan-only) PLAN_ONLY=1 ;;
+        --force)     FORCE=1 ;;
+        *) echo "usage: ${0##*/} [--dry-run] [--plan-only] [--force]" >&2
+           exit 2 ;;
+    esac
+    shift
+done
+
+# The convert sees the tree only through the /models mount, so both paths must
+# be under it; the container-side spelling is what goes into the argv.
+case "$CKPT" in
+    "$MODELS"/*) CKPT_IN="/models/${CKPT#"$MODELS"/}" ;;
+    *) echo "REFUSED: checkpoint $CKPT is not under the mounted models dir $MODELS — the convert cannot see it" >&2
+       exit 2 ;;
+esac
+case "$OUT" in
+    "$MODELS"/*) OUT_IN="/models/${OUT#"$MODELS"/}" ;;
+    *) echo "REFUSED: output $OUT is not under the mounted models dir $MODELS — rad-convert could not write it" >&2
+       exit 2 ;;
+esac
+
+# Declare with NO recipe line — that is what keeps every tensor bf16 — and at the
+# bound this container will actually be served at. Both flags come off the pinned
+# image's own help: --kv-cache-dtype at convert "only picks the kernels it
+# checks" and the container is identical either way, so naming fp8 is free
+# insurance — if the fp8 KV kernels the fleet serves would not resolve, the
+# convert refuses here instead of the boot failing on a drained window.
+# --max-ctx is the bound declare is run at, whose default is the checkpoint's
+# training context (262,144 here, whose fp8 cache is 258.8 GiB against a 192 GiB
+# machine, so the default is not an option). 32,768 is set by the corpus, not by
+# taste: kld.jsonl's longest record is 38,263 characters — ~9,600 tokens at the
+# pessimistic chars/4, ~7,700 at the chars/4.97 this repo measured on the K3
+# corpus — so the window the rig boots at clears every record 2.6x over and the
+# reference boot cannot die on a sequence that will not fit. The rig's window is
+# one knob (FRANK_QWEN38_MAX_MODEL_LEN in scripts/run-qwen38-bf16.sh, default
+# 32,768) and that script refuses a corpus its window cannot hold, so raising one
+# without the other is caught before the drained window, not inside it. The
+# payload containers the gate scores declare at the training context because
+# production must hold the 200k shape; a declared bound is a declare-time check,
+# not a weight change, so the reference and the payloads carry the same numbers
+# whatever each declared at — which is why one can be measured against the other.
+CONVERT_ARGS=("$CKPT_IN" -o "$OUT_IN" --max-ctx 32768 --kv-cache-dtype fp8)
+PODMAN=(podman run --rm --entrypoint rad-convert -v "$MODELS:/models")
+PLAN_CMD=("${PODMAN[@]}" --name qwen38-bf16-plan "$IMAGE" "${CONVERT_ARGS[@]}" --plan-only -v)
+CONV_CMD=("${PODMAN[@]}" --name qwen38-bf16-convert "$IMAGE" "${CONVERT_ARGS[@]}")
+
+if [ "$DRY" = "1" ]; then
+    echo "dry run: no gate checked, no container started, nothing written"
+    echo "# $CKPT -> $OUT (the convert sees them as $CKPT_IN and $OUT_IN)"
+    echo "# plan argv:"
+    printf '%q\n' "${PLAN_CMD[@]}"
+    echo "# convert argv:"
+    printf '%q\n' "${CONV_CMD[@]}"
+    exit 0
+fi
+
+# ---- gate: the checkpoint is on disk ---------------------------------------
+if [ ! -d "$CKPT" ]; then
+    echo "REFUSED: no checkpoint at $CKPT — fetch and verify it first: scripts/download-qwen38-bf16.sh --fetch" >&2
+    exit 2
+fi
+
+# ---- gate: peak disk --------------------------------------------------------
+# The deepest existing ancestor is the right thing to ask: a fresh
+# /home/dank/models/rad has no free space of its own to report.
+OUT_DIR="$(dirname "$OUT")"
+PROBE="$OUT_DIR"
+while [ ! -d "$PROBE" ] && [ "$PROBE" != "/" ]; do PROBE="$(dirname "$PROBE")"; done
+FREE_MIB="$(df --output=avail -m "$PROBE" | tail -1 | tr -d ' ')"
+if ! [[ "$FREE_MIB" =~ ^[0-9]+$ ]]; then
+    echo "REFUSED: cannot read the free space under $PROBE (df said: $FREE_MIB)" >&2
+    exit 2
+fi
+if [ "$PLAN_ONLY" != "1" ] && [ "$FREE_MIB" -lt "$MIN_FREE_MIB" ]; then
+    echo "REFUSED peak-disk: $FREE_MIB MiB free under $PROBE, $MIN_FREE_MIB MiB wanted (QWEN38_MIN_FREE_MIB) — the bf16 container rewrites the checkpoint's own 343,323 MiB of tensors beside it" >&2
+    exit 2
+fi
+
+# ---- gate: one conversion ---------------------------------------------------
+if [ -e "$OUT" ]; then
+    if [ "$PLAN_ONLY" = "1" ]; then
+        echo "note: $OUT already exists; --plan-only writes nothing, so it stays"
+    elif [ "$FORCE" = "1" ]; then
+        mkdir -p "$TRASH"
+        DEST="$TRASH/$(date -u +%Y%m%dT%H%M%SZ)-$(basename "$OUT")"
+        mv "$OUT" "$DEST"
+        echo "TRASHED: retired the existing reference container $OUT -> $DEST"
+    else
+        echo "REFUSED: $OUT already exists — the campaign converts the reference once; re-run with --force to retire it to $TRASH first" >&2
+        exit 2
+    fi
+fi
+
+# ---- gate: the tree really is the checkpoint (the full verify) -------------
+echo "== verifying $CKPT (scripts/download-qwen38-bf16.sh, full gates)"
+rc=0
+bash "$SCRIPT_DIR/download-qwen38-bf16.sh" --dir "$CKPT" || rc=$?
+if [ "$rc" -ne 0 ]; then
+    if [ "$rc" -eq 2 ]; then
+        echo "REFUSED: the checkpoint verifier refused the environment (rc=2); nothing was converted" >&2
+        exit 2
+    fi
+    echo "REFUSED: $CKPT failed verification (rc=$rc) — a half tree converts to a half reference" >&2
+    exit 1
+fi
+
+# ---- plan, then convert ------------------------------------------------------
+mkdir -p "$(dirname "$LOG")"
+# rad-convert opens -o during declare as well, so the output directory exists
+# before the plan; that empty directory is all this creates ahead of it.
+mkdir -p "$OUT_DIR"
+echo "== rad-convert --plan-only -v (declare + plan; writes nothing)"
+"${PLAN_CMD[@]}" 2>&1 | tee -a "$LOG"
+rc=${PIPESTATUS[0]}
+if [ "$rc" -ne 0 ]; then
+    echo "REFUSED plan: rad-convert --plan-only exited rc=$rc — the engine refuses this encoding/shape, no container was written (log: $LOG)" >&2
+    exit 2
+fi
+if [ "$PLAN_ONLY" = "1" ]; then
+    echo "PLAN_OK: $CKPT_IN declares for $OUT_IN; no container written (log: $LOG)"
+    exit 0
+fi
+
+echo "== convert: $CKPT -> $OUT ($(date -Is))"
+"${CONV_CMD[@]}" 2>&1 | tee -a "$LOG"
+rc=${PIPESTATUS[0]}
+if [ "$rc" -ne 0 ]; then
+    echo "rad-convert rc=$rc; log: $LOG" >&2
+    exit "$rc"
+fi
+MIB=$(( $(stat -c %s "$OUT") / 1048576 ))
+echo "BUILD_DONE: $OUT is ${MIB} MiB (log: $LOG)"
+echo "NEXT: scripts/run-qwen38-bf16.sh kldref records the reference logits from it"

scripts/calib-push.py

@@ -22,6 +22,17 @@ Mechanics notes:
   prompts do not bias the Hessians (the corpus is drawn round-robin over
   source classes, so loss is class-neutral as long as failures are rare;
   a systematic 4xx is loud in the log and must be fixed, not ignored).
+- a round that seals no tap bytes is NORMAL and continues: RADIANCE_CALIB_TOKENS
+  is a pooled floor and this campaign's corpus is 10.03M tokens against a 12M
+  floor, so round 1 seals nothing by construction. A tap that LOSES bytes fails
+  the run, and a run that never sees the engine's completion line exits non-zero.
+  The first version failed on a flat round, which aborted exactly one round too
+  early (2026-10-29).
+- before any prompt, the tap must carry the rig's own marker
+  (`--tap-marker`, written by run-qwen38-bf16.sh calib) naming THIS
+  container, and that container must be running. Measured 2026-10-29:
+  with neither check, four rounds of 10M tokens went into restored
+  production after the rig's boot had died, and recorded nothing.
 
 Usage: calib-push.py [--port 7770] [--parallel 64] [--container arbench]
        [--corpus /home/dank/corpora/out/calib.jsonl] [--max-rounds 4]
@@ -29,11 +40,18 @@ Usage: calib-push.py [--port 7770] [--parallel 64] [--container arbench]
 import argparse
 import concurrent.futures
 import json
+import os
 import subprocess
 import sys
 import time
 import urllib.request
 
+_HERE = os.path.dirname(os.path.abspath(__file__)) if "__file__" in globals() else os.getcwd()
+if _HERE not in sys.path:
+    sys.path.insert(0, _HERE)
+
+import qwen38_common as qc  # noqa: E402 - sibling module, same directory
+
 DONE_MARK = "calibration wrote"
 
 
@@ -49,9 +67,9 @@ def tap_done(container):
     return DONE_MARK in (out.stdout + out.stderr)
 
 
-def push_one(url, prompt):
+def push_one(url, prompt, model):
     body = json.dumps({
-        "model": "frank-archon",
+        "model": model,
         "prompt": prompt,
         "max_tokens": 1,
         "temperature": 0,
@@ -68,38 +86,151 @@ def push_one(url, prompt):
         return False
 
 
-def main():
+def push_round(url, prompts, model, parallel):
+    """Push the whole corpus once; returns how many requests were accepted."""
+    ok = 0
+    with concurrent.futures.ThreadPoolExecutor(parallel) as ex:
+        for good in ex.map(lambda p: push_one(url, p, model), prompts):
+            ok += 1 if good else 0
+    return ok
+
+
+def tap_bytes(path):
+    """Bytes the tap has sealed so far; 0 when the directory is absent.
+
+    A tap whose directory is wrong, full or read-only stops writing while the
+    engine keeps answering 200 — the driver then re-pushes the whole corpus for
+    every round it is allowed and the loss is invisible until the hours are gone.
+    """
+    total = 0
+    try:
+        for root, _, files in os.walk(path):
+            for f in files:
+                try:
+                    total += os.path.getsize(os.path.join(root, f))
+                except OSError:
+                    pass
+    except OSError:
+        return 0
+    return total
+
+
+def round_verdict(before, after, done):
+    """What one round's tap bytes mean.
+
+    'done'   the engine logged that it sealed the tap — the run is over
+    'shrink' the tap LOST bytes: reset, pruned or replaced under us
+    'grew'   sealed bytes this round
+    'flat'   sealed nothing — which is legitimate: RADIANCE_CALIB_TOKENS is a
+             pooled floor, and a round that does not reach it has nothing to
+             write yet (the campaign's corpus is 10.03M tokens against a 12M
+             floor, so round 1 is always flat). Failing on it aborted the run
+             exactly one round too early.
+    """
+    if done:
+        return "done"
+    if after < before:
+        return "shrink"
+    if after == before:
+        return "flat"
+    return "grew"
+
+
+def require_rig(a):
+    """Refuse unless the rig that opened this tap is up and serving right now.
+
+    Three facts, in order: the runner wrote its marker into the tap dir, the
+    marker names the container this pusher targets, and that container is
+    running. A marker without a live container is a boot that died; a live
+    container without a marker is some other engine on the port — on 2026-10-29
+    it was restored production, which took four rounds of 10M tokens before the
+    old driver admitted it had recorded nothing.
+    """
+    marker = os.path.join(a.tap_dir, a.tap_marker)
+    if not os.path.isfile(marker):
+        qc.refuse(f"no rig marker at {marker}: this tap was not opened by "
+                  "run-qwen38-bf16.sh calib, so a push here would feed whatever "
+                  "answers the port and record nothing")
+    try:
+        lines = open(marker, encoding="utf-8", errors="replace").read().splitlines()
+    except OSError as exc:
+        qc.refuse(f"cannot read the rig marker {marker}: {exc}")
+    meta = dict(line.split("=", 1) for line in lines if "=" in line)
+    who = meta.get("container", "")
+    if who != a.container:
+        qc.refuse(f"the rig marker names container {who!r} and this pusher targets "
+                  f"{a.container!r} — wrong tap, or a stale marker")
+    try:
+        p = subprocess.run(["podman", "inspect", "-f", "{{.State.Running}}", a.container],
+                           capture_output=True, text=True, timeout=30)
+    except Exception as exc:
+        qc.refuse(f"cannot inspect the rig container {a.container}: {exc}")
+    if p.returncode != 0 or p.stdout.strip() != "true":
+        qc.refuse(f"the rig container {a.container} is not running — whatever is "
+                  "answering the port, it is not the calibration rig")
+
+
+def parse_args():
     ap = argparse.ArgumentParser()
     ap.add_argument("--port", type=int, default=7770)
     ap.add_argument("--parallel", type=int, default=64)
     ap.add_argument("--container", default="arbench")
+    ap.add_argument("--model", default="frank-archon")
+    ap.add_argument("--tap-dir", default="/home/dank/campaign/qwen38-w5nl64/calib")
+    ap.add_argument("--tap-marker", default=".rig-boot",
+                    help="the file run-qwen38-bf16.sh calib writes into the tap dir; without it the pusher refuses, because an unmarked tap is not a rig")
     ap.add_argument("--corpus", default="/home/dank/corpora/out/calib.jsonl")
     ap.add_argument("--max-rounds", type=int, default=4)
-    a = ap.parse_args()
-    url = f"http://127.0.0.1:{a.port}/v1/completions"
+    return ap.parse_args()
 
+
+def load_prompts(a) -> list[str]:
+    if not os.path.isfile(a.corpus):
+        qc.refuse(f"no corpus at {a.corpus}")
     prompts = []
-    with open(a.corpus) as f:
-        for line in f:
-            line = line.strip()
-            if line:
-                prompts.append(json.loads(line)["prompt"])
-    print(f"corpus: {len(prompts)} prompts", flush=True)
+    for lineno, rec in qc.iter_jsonl(a.corpus):
+        if not isinstance(rec.get("prompt"), str):
+            qc.refuse(f"{a.corpus}:{lineno} has no string 'prompt' field")
+        prompts.append(rec["prompt"])
+    if not prompts:
+        qc.refuse(f"the corpus at {a.corpus} holds no prompts")
+    return prompts
+
+
+def main():
+    a = parse_args()
+    url = f"http://127.0.0.1:{a.port}/v1/completions"
+    prompts = load_prompts(a)
+    require_rig(a)
+    chars = sum(len(p) for p in prompts)
+    print(f"corpus: {len(prompts)} prompts, ~{chars // 4} tokens (chars/4)",
+          flush=True)
 
     for rnd in range(1, a.max_rounds + 1):
         if tap_done(a.container):
             break
+        before = tap_bytes(a.tap_dir)
         t0 = time.time()
-        ok = 0
-        with concurrent.futures.ThreadPoolExecutor(a.parallel) as ex:
-            for good in ex.map(lambda p: push_one(url, p), prompts):
-                ok += 1 if good else 0
-        dt = time.time() - t0
+        ok = push_round(url, prompts, a.model, a.parallel)
+        dt = max(time.time() - t0, 1e-9)
         print(f"round {rnd}: {ok}/{len(prompts)} ok in {dt:.0f}s "
-              f"({sum(len(p) for p in prompts)/4/dt:.0f} chars/s est)",
-              flush=True)
+              f"({chars / 4 / dt:.0f} tokens/s est)", flush=True)
+        if ok == 0:
+            print("FAIL: not one prompt was accepted; fix the engine or the argv "
+                  "before spending another round", flush=True)
+            sys.exit(1)
         if tap_done(a.container):
             break
+        after = tap_bytes(a.tap_dir)
+        verdict = round_verdict(before, after, False)
+        if verdict == "shrink":
+            print(f"FAIL: the tap at {a.tap_dir} LOST bytes this round "
+                  f"({before} B before, {after} B after) — it was reset or replaced "
+                  "under us", flush=True)
+            sys.exit(1)
+        if verdict == "flat":
+            print(f"round {rnd}: the tap sealed nothing yet (byte floor not reached; "
+                  f"{before} B) — continuing", flush=True)
     else:
         print("max rounds exhausted, tap not done", flush=True)
         sys.exit(1)

scripts/census-frank-dragoon.sh

@@ -21,7 +21,7 @@
 # deployed knob has since dropped to 262144.
 set -euo pipefail
 
-IMG=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
+IMG=ghcr.io/peonist-ai/halogen-flash-server@sha256:e35133b206da3094cc4d70c78800b26235bd9124b9aeb0e029d4a7c153b9cff0
 CUR=/home/dank/models/halogen-flashnext-v2
 NEW=/home/dank/models/halogen-v2-abliterated
 CUR_CK=qwen38-flash-next-v2-swift15-abliterated.hgn

scripts/convert-qwen38-w5nl64.sh

@@ -0,0 +1,236 @@
+#!/usr/bin/env bash
+# convert-qwen38-w5nl64.sh — RUNS ON DANKSERVER. The CPU half of the Qwen3.8-Flash-Next five-bit
+# campaign: convert the vendor BF16 checkpoint into the campaign's arms, each one the whole
+# `w5nl64a8h` rung on BOTH expert projections with the protected experts kept bf16.
+#
+# Nothing here touches a GPU: the container is started without /dev/kfd or /dev/dri, so the
+# converter runs on the host backend and the fleet can keep serving through the whole script.
+# The engine pin is the digest that serves frank-archon, so a winning arm crosses no version
+# boundary between measurement and serving.
+#
+# Three arms, because the campaign's question is which search knob pays for its hours
+# (recipes/qwen4exp-qwen38-w5nl64-bf16trunk.recipe):
+#
+#   cd3     the recipe as written — coordinate descent three sweeps. The control.
+#   cd6     six sweeps: the same search, twice the passes.
+#   ao1     act_order=1 instead of cd: GPTQ sweeps columns in activation-importance order and
+#           stores them permuted. This is a SEPARATE arm, not a fourth sweep — libquant refuses
+#           cd= together with act_order=1 ("cd= sweeps the columns in their stored order, and
+#           act_order=1 stores them permuted; one or the other", libquant/lq_registry.cpp), so
+#           the two knobs cannot be combined into a best-of-both container.
+#
+# The arms are generated from ONE template with `--quant` overrides, not three near-duplicate
+# recipes: --quant rules are inserted BEFORE the recipe file and the first rule whose glob matches
+# a weight decides it (core/format/recipe.cpp: Recipe::match), so an override cleanly replaces the
+# expert line and the other 60 lines cannot drift between arms.
+#
+# Protected experts: apply-protected-cast.sh derives the bf16 set from THIS campaign's grams
+# (--target-count 48, two per layer so each rank's 256-expert half stays even) and splices it into
+# a per-run COPY of the template; the committed recipe keeps its markers and stays reviewable.
+#
+# Gates, in the order they bite — each one is a lesson the swift15 campaign paid for:
+#   inputs        checkpoint (dir + index), recipe, grams, imatrix, tokenizer. A missing grams
+#                 directory converts UNCALIBRATED with one stderr note, which is silently worse
+#                 than failing here.
+#   reference     the 335.3 GiB BF16 reference container must be GONE before the converts start.
+#                 It and the checkpoint together eat the volume; its job (the KLD recording and
+#                 the calibration grams) is finished by then, and both survive on disk without the
+#                 container beside it. The FP8-native anchor is FETCHED after the converts (disk
+#                 sequencing), so nothing here waits on it.
+#   plan          --plan-only runs FIRST, per arm, and prints "about X would be written". The
+#                 number is the bill: free space must cover it plus the 128k-prompt overshoot
+#                 margin, and the finished artifact is checked against it.
+#   outputs       no arm overwrites anything; move the old one to trash.
+#
+# Usage: convert-qwen38-w5nl64.sh [--arm cd3|cd6|ao1]... [--dry-run] [--plan-only]
+#                                 [--target-count N] [--keep-recipe]
+set -u -o pipefail
+
+SELF="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+# THE TOOLCHAIN PIN. `:latest` on 2026-10-30 is v1.14.0 (revision 4a61d7296bc5),
+# the same image the tap producer boots: a tap must be converted by the line that
+# is current, and rad-convert's `gptq:calib=<dir>` input contract is version-stable
+# (RADGRAM2 + gram.r<rank>.<stem>.bin), so nothing else about the recipe moves with
+# it. Production stays on its own pin — this is the campaign's toolchain.
+IMAGE=${IMAGE:-stilldeadcode/radiance@sha256:69add58f7de1ed2bca2b1e20a4cc75717557df3f73569a178eca5aafe8c44093}
+CKPT=${CKPT:-/home/dank/models/Qwen3.8-Flash-Next}
+CAMPAIGN=${CAMPAIGN:-/home/dank/campaign/qwen38-w5nl64}
+RECIPE=${RECIPE:-$SELF/recipes/qwen4exp-qwen38-w5nl64-bf16trunk.recipe}
+CALIB=${CALIB:-$CAMPAIGN/calib}
+IMATRIX=${IMATRIX:-$CAMPAIGN/imatrix.gguf}
+OUTDIR=${OUTDIR:-/home/dank/models/rad}
+BF16_RAD=${BF16_RAD:-$OUTDIR/qwen38-bf16.rad}   # the reference container, not an arm output
+STATE=${STATE:-$CAMPAIGN}                      # the dir the container mounts read-only: the
+                                               # spliced recipe and the imatrix live here
+TARGET_COUNT=${TARGET_COUNT:-48}
+MIN_GRAMS=${MIN_GRAMS:-24576}                 # per-expert DOWN grams: 48 recorded layers x 512
+                                               # experts. The checkpoint has 49 MoE layers, but the
+                                               # MTP layer is never recorded, so its 512 experts are
+                                               # absent from the tap's output by design
+MARGIN_MIB=${MARGIN_MIB:-40960}               # the long-prompt overshoot, off the plan number
+TS=$(date +%Y%m%d-%H%M%S)
+
+ARMS=()
+DRY=0
+PLAN_ONLY=0
+KEEP_RECIPE=0
+while [ "$#" -gt 0 ]; do
+    case "$1" in
+      --arm) [ "$#" -ge 2 ] || { echo "--arm needs a value (cd3|cd6|ao1)" >&2; exit 2; }
+             ARMS+=("$2"); shift 2 ;;
+      --dry-run) DRY=1; shift ;;
+      --plan-only) PLAN_ONLY=1; shift ;;
+      --target-count) [ "$#" -ge 2 ] || { echo "--target-count needs a value" >&2; exit 2; }
+             TARGET_COUNT="$2"; shift 2 ;;
+      --keep-recipe) KEEP_RECIPE=1; shift ;;
+      *) echo "unknown argument: $1" >&2; exit 2 ;;
+    esac
+done
+[ "${#ARMS[@]}" -gt 0 ] || ARMS=(cd3 cd6 ao1)
+for a in "${ARMS[@]}"; do
+    case "$a" in cd3|cd6|ao1) ;; *) echo "unknown arm: $a (cd3|cd6|ao1)" >&2; exit 2 ;; esac
+done
+
+# The expert rule's option set, spelled once. --quant replaces the template's line wholesale, so
+# every option has to be repeated here; `calib=$CALIB` is expanded by the recipe reader from the
+# container environment (core/format/recipe.cpp: expand refuses an unset name rather than taking
+# it for empty).
+expert_opts='table=w5nl,group=64,scale=fp8_e4m3,scale2=f32,block2=*x*,scale2_value=0.0001220703125,transform=fwht128,rule=search,calib=$CALIB'
+arm_quant() {
+    case "$1" in
+      # The control is the template itself: no override, so the recipe's own line decides.
+      cd3) return 0 ;;
+      cd6) echo "blk.*.ffn_*_exps.*.weight=gptq:${expert_opts},cd=6" ;;
+      # act_order=1 WITHOUT cd: libquant refuses the pair (lq_registry.cpp:105, "cd= sweeps the
+      # columns in their stored order, and act_order=1 stores them permuted; one or the other"), so
+      # this arm is the interleave knob alone, not cd=3 plus it.
+      ao1) echo "blk.*.ffn_*_exps.*.weight=gptq:${expert_opts},act_order=1" ;;
+    esac
+}
+
+# --- gates ------------------------------------------------------------------------------------
+[ -d "$CKPT" ] || { echo "no checkpoint at $CKPT; run scripts/download-qwen38-bf16.sh --fetch" >&2; exit 2; }
+[ -f "$CKPT/model.safetensors.index.json" ] || { echo "checkpoint at $CKPT has no safetensors index — a torn fetch" >&2; exit 2; }
+[ -f "$CKPT/tokenizer.json" ] || { echo "no tokenizer.json in $CKPT; the .rad cannot carry one without it" >&2; exit 2; }
+[ -f "$RECIPE" ] || { echo "no recipe at $RECIPE" >&2; exit 2; }
+GRAMS=$(find "$CALIB" -maxdepth 1 -name 'gram.r*.bin' 2>/dev/null | wc -l)
+[ "$GRAMS" -ge "$MIN_GRAMS" ] || {
+    echo "calib dir $CALIB holds $GRAMS gram files (<$MIN_GRAMS); run $0 after run-qwen38-bf16.sh calib" >&2; exit 2; }
+[ -f "$IMATRIX" ] || { echo "no imatrix at $IMATRIX; run scripts/grams-to-imatrix.py over $CALIB" >&2; exit 2; }
+# The container sees the campaign dir at one fixed mount point, so an imatrix kept elsewhere has
+# no path inside it: copy it in (or point IMATRIX at the campaign dir) rather than let the
+# converter fail halfway through a planned arm.
+[ "$(dirname "$IMATRIX")" = "$STATE" ] || {
+    echo "imatrix $IMATRIX is not in the campaign dir $STATE the container mounts; move it there" >&2; exit 2; }
+if [ -e "$BF16_RAD" ]; then
+    echo "the 335.3 GiB BF16 reference container $BF16_RAD is still on disk; its recording and" \
+         "the calibration grams are already taken, so move it to trash — the converts need its" \
+         "space (peak-disk law)" >&2
+    exit 2
+fi
+for a in "${ARMS[@]}"; do
+    [ -e "$OUTDIR/qwen38-w5nl64-$a.rad" ] && {
+        echo "$OUTDIR/qwen38-w5nl64-$a.rad already exists; move it to trash first" >&2; exit 2; }
+    # A killed run leaves its container behind (--rm only fires when podman itself
+    # exits), and the next arm then dies on "name already in use" AFTER the plan
+    # phase; refuse here, where the fix is one `podman rm -f`.
+    podman container exists "qwen38-convert-$a" && {
+        echo "container qwen38-convert-$a still exists (a killed run?);" \
+             "'podman rm -f qwen38-convert-$a' and re-run" >&2
+        exit 2; }
+done
+
+# --- the protected plane, spliced into a per-run copy of the template --------------------------
+mkdir -p "$STATE"
+WORK="$STATE/recipe-$TS.recipe"
+cp "$RECIPE" "$WORK"
+if [ "$DRY" = 1 ]; then
+    echo "would run: $SELF/apply-protected-cast.sh $CALIB $WORK $TARGET_COUNT"
+else
+    # Positional, because the tool reads its recipe and calib dir by position: passing them as
+    # environment variables would be silently ignored and it would rewrite the COMMITTED
+    # template in place instead of this run's copy.
+    "$SELF/apply-protected-cast.sh" "$CALIB" "$WORK" "$TARGET_COUNT" \
+        || { echo "the protected-expert derivation refused; the arms would convert unprotected" >&2; exit 1; }
+fi
+
+run_convert() { # run_convert ARM [extra flags...]
+    local arm="$1"; shift
+    local out="$OUTDIR/qwen38-w5nl64-$arm.rad" log="$STATE/convert-$arm-$TS.log"
+    local argv=(--rm --name "qwen38-convert-$arm"
+                -e "CALIB=/data/calib" -e "OMP_NUM_THREADS=$(nproc)"
+                -v "$(dirname "$CKPT"):/models:ro"
+                -v "$CALIB:/data/calib:ro"
+                -v "$STATE:/campaign:ro"
+                -v "$OUTDIR:/out")
+    local conv=(/models/"${CKPT##*/}" --recipe "/campaign/$(basename "$WORK")"
+                --tokenizer "/models/${CKPT##*/}/tokenizer.json"
+                --imatrix /campaign/"${IMATRIX##*/}"
+                # No --max-ctx: the context declare then runs at the checkpoint's training context
+                # (262144), which is what the shipped container did — rad-info --meta on it carries
+                # no override. A container declared at a smaller bound cannot be expected to serve
+                # the 200k window D2 holds, and the convert is not where to discover that.
+                # --kv-cache-dtype changes nothing in the artifact; it picks the kernels the declare
+                # checks, and the fleet serves fp8 KV, so an unresolvable fp8 kernel must be said no
+                # to by the convert, not by a boot on a drained window.
+                --kv-cache-dtype fp8 -o "/out/$(basename "$out")")
+    local q; q=$(arm_quant "$arm")
+    [ -n "$q" ] && conv+=(--quant "$q")
+    if [ "$DRY" = 1 ]; then
+        echo "podman run ${argv[*]} \$IMAGE --entrypoint /opt/radiance/bin/rad-convert ${conv[*]} $*"
+        return 0
+    fi
+    podman run "${argv[@]}" --entrypoint /opt/radiance/bin/rad-convert "$IMAGE" "${conv[@]}" "$@" \
+        2>&1 | tee "$log"
+    return "${PIPESTATUS[0]}"
+}
+
+# --- plan, then bill, then convert -------------------------------------------------------------
+overall=0
+for arm in "${ARMS[@]}"; do
+    echo "== arm $arm =="
+    if [ "$DRY" = 1 ]; then
+        # Both lines, in order: the plan runs before the convert, and the convert is what the
+        # operator is about to pay an afternoon for.
+        run_convert "$arm" --plan-only
+        run_convert "$arm"
+        continue
+    fi
+    rc=0; plan_log=$(run_convert "$arm" --plan-only) || rc=$?
+    [ "$rc" -eq 0 ] || { echo "arm $arm: --plan-only failed (rc=$rc); nothing was written" >&2; overall=1; continue; }
+    echo "$plan_log"
+    # "about 141.2 GiB would be written" is the converter's own bill; parse it rather than
+    # hardcoding a size, so the gate still works after any recipe edit.
+    want=$(printf '%s' "$plan_log" | sed -n 's/.*about \([0-9.]*\) \([KMGT]iB\) would be written.*/\1 \2/p' | tail -1)
+    [ -n "$want" ] || { echo "arm $arm: the plan printed no size; refusing to convert blind" >&2; overall=1; continue; }
+    need_mib=$(awk -v n="${want% *}" -v u="${want#* }" \
+        'BEGIN{ f = (u=="KiB") ? 2^-10 : (u=="MiB") ? 1 : (u=="GiB") ? 1024 : (u=="TiB") ? 1048576 : 0
+               if (f == 0) { exit 1 }; printf "%d", n*f + 0.5 }') || {
+        echo "arm $arm: the plan printed an unknown unit in '$want'" >&2; overall=1; continue; }
+    free_mib=$(df --output=avail -m "$OUTDIR" | tail -1 | tr -d ' ')
+    echo "plan: $want ($need_mib MiB); free ${free_mib} MiB on $OUTDIR (margin $MARGIN_MIB MiB)"
+    if [ "$free_mib" -lt $((need_mib + MARGIN_MIB)) ]; then
+        echo "arm $arm: needs ${need_mib} MiB + ${MARGIN_MIB} margin, ${free_mib} free; free space and re-run" >&2
+        overall=1; continue
+    fi
+    if [ "$PLAN_ONLY" = 1 ]; then echo "planned, not converted (--plan-only)"; continue; fi
+    rc=0; run_convert "$arm" || rc=$?
+    [ "$rc" -eq 0 ] || { echo "arm $arm: rad-convert rc=$rc; log: $STATE/convert-$arm-$TS.log" >&2; overall=1; continue; }
+    out="$OUTDIR/qwen38-w5nl64-$arm.rad"
+    [ -f "$out" ] || { echo "arm $arm: rad-convert exited 0 but wrote no $out; log: $STATE/convert-$arm-$TS.log" >&2; overall=1; continue; }
+    got_mib=$(( $(stat -c %s "$out") / 1048576 ))
+    # The receipt: the artifact is what the plan predicted, within the metadata the plan does not
+    # count. An arm that came out materially smaller lost a plane somewhere.
+    lo=$(( need_mib * 98 / 100 )); hi=$(( need_mib * 103 / 100 ))
+    if [ "$got_mib" -lt "$lo" ] || [ "$got_mib" -gt "$hi" ]; then
+        echo "arm $arm: $out is ${got_mib} MiB, the plan said ${need_mib} MiB (allowed ${lo}-${hi})" >&2
+        overall=1; continue
+    fi
+    echo "CONVERT_DONE $arm ${got_mib} MiB -> $out"
+done
+
+if [ "$KEEP_RECIPE" = 0 ] && [ "$DRY" = 0 ]; then
+    mkdir -p "$CAMPAIGN/.AGENTTRASH"
+    mv "$WORK" "$CAMPAIGN/.AGENTTRASH/$(basename "$WORK")" 2>/dev/null || true
+fi
+exit "$overall"

scripts/deploy-plan.py

@@ -34,7 +34,6 @@ SERVICE_ORDER = (
     "hermes",
     "hermes-dashboard",
     "hermes-webui",
-    "prometheus",
     "grafana",
     "loki",
     "alloy",
@@ -42,6 +41,9 @@ SERVICE_ORDER = (
     "cadvisor",
     "gpu-exporter",
     "alertmanager",
+    # The prober must answer before prometheus re-runs the services job.
+    "blackbox-exporter",
+    "prometheus",
     "authentik-postgres",
     "authentik-server",
     "authentik-worker",
@@ -97,6 +99,7 @@ DANKCLAW_SERVICES = {
     "cadvisor",
     "gpu-exporter",
     "alertmanager",
+    "blackbox-exporter",
     "authentik-postgres",
     "authentik-server",
     "authentik-worker",
@@ -152,13 +155,14 @@ DANKCLAW_COMPOSE_SERVICES = set()
 # Quadlet unit now — the last compose services were the hermes trio, whose units
 # have owned their containers since 2026-09-12 and whose compose blocks were
 # dead weight that could only create a duplicate container.
+# jellyfin left the Dankserver file on 2026-10-30 for the same reason: its Quadlet
+# has owned the container since the cutover, so a compose edit must not restart it.
 
 DANKSERVER_COMPOSE_SERVICES = {
     "mariadb",
     "redis",
     "romm",
     "copyparty",
-    "jellyfin",
     "calibre-web",
 }
 COMPOSE_NAME_MAP = {"mariadb": "romm-mariadb", "redis": "romm-redis"}
@@ -277,6 +281,8 @@ def services_for_path(path: str, target: str) -> set[str]:
             # Provisioned datasources and dashboards: git is the source of
             # truth, so a change here must restart the service that reads them.
             _add(services, "grafana")
+        elif group == "blackbox":
+            _add(services, "blackbox-exporter")
         elif group == "homepage":
             # Homepage is a Dankclaw-owned deployment. Shared homepage files
             # are intentionally not copied during a Dankserver-only run.
@@ -380,7 +386,7 @@ def services_for_path(path: str, target: str) -> set[str]:
             # consumer (prometheus before grafana, loki before alloy).
             if len(parts) >= 4 and parts[2] == "quadlet":
                 name = parts[3].removesuffix(".container")
-                if name in {"prometheus", "grafana", "loki", "alloy", "node-exporter", "cadvisor", "alertmanager"}:
+                if name in {"prometheus", "grafana", "loki", "alloy", "node-exporter", "cadvisor", "alertmanager", "blackbox-exporter"}:
                     _add(services, name)
             return services
         if len(parts) >= 2 and parts[1] == "gitea":
@@ -416,6 +422,11 @@ def services_for_path(path: str, target: str) -> set[str]:
                 "tautulli": {"tautulli"},
             }
             _add(services, *quadlet_services.get(parts[1], set()))
+        if len(parts) >= 2 and parts[1] == "host":
+            # dankserver/host/systemd/media-meta-view.mount is the overlay view the
+            # media servers bind (scripts/media-view.sh installs it on the host),
+            # so editing it restarts jellyfin and plex and nothing else.
+            _add(services, "jellyfin", "plex")
         if len(parts) >= 2 and parts[1] == "observability":
             # Dankserver's node-exporter became a Quadlet unit on 2026-09-16
             # (serverAppConfigs-docs/Infrastructure/Observability.md): its
@@ -461,6 +472,15 @@ def services_for_path(path: str, target: str) -> set[str]:
             # that service (target_services then keeps it only on the host being
             # planned). Editing the collector restarts the running exporter.
             _add(services, "gpu-exporter")
+        if name == "media-view.sh":
+            # The installer is what creates, mounts and reaps the view both media
+            # servers read, so a change to it is a restart of that pair.
+            _add(services, "jellyfin", "plex")
+        if name == "jellyfin-providers.sh":
+            # The deployer runs this before jellyfin restarts, so a change to
+            # the installer is a change to the provider state Jellyfin loads at
+            # start-up: it selects jellyfin and nothing else.
+            _add(services, "jellyfin")
         if name in {"frank-zealot.env", "frank-zealot.service", "serve-frank-zealot.sh"}:
             # llama.cpp frank-zealot (2026-09-16) keeps its unit, env and serve
             # files here; each one selects frank-zealot only. The ik_llama.cpp

scripts/deploy-remote.sh

@@ -86,7 +86,7 @@ service_is_allowed() {
         dankclaw:open-webui|dankclaw:gitea-postgres|dankclaw:gitea-server|\
         dankclaw:comfyui|dankclaw:hermes|\
         dankclaw:hermes-dashboard|dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|\
-        dankclaw:loki|dankclaw:alloy|dankclaw:node-exporter|dankclaw:cadvisor|dankclaw:gpu-exporter|dankclaw:alertmanager|\
+        dankclaw:loki|dankclaw:alloy|dankclaw:node-exporter|dankclaw:cadvisor|dankclaw:gpu-exporter|dankclaw:alertmanager|dankclaw:blackbox-exporter|\
         dankclaw:authentik-postgres|dankclaw:authentik-server|\
         dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|\
         dankclaw:caddy|dankclaw:homepage|dankclaw:seerr|dankclaw:marreta|\
@@ -252,16 +252,24 @@ install_signal_relay() {
     # The relay binds the host's LAN IP (the one address a bridge container
     # can reach as host.containers.internal), so keep the unauthenticated
     # endpoint off the rest of the LAN: admit loopback, the host itself
-    # (its own health probe) and the podman bridge subnet only. Idempotent:
-    # -C before -I.
+    # (its own health probe) and the podman bridge subnet only.
+    # ORDER IS THE GATE: `iptables -I` inserts at position 1, so the old
+    # shape (-C/-I x3 ACCEPT, then -C/-I the DROP) landed the blanket DROP
+    # ABOVE the ACCEPTs and every probe timed out beside a LISTENing socket
+    # (live 2026-10-21: 159 packets on the DROP, 0 on each ACCEPT; the whole
+    # dankclaw drain aborted at the alertmanager gate twice before the cause
+    # was read off `nft list ruleset`). Rebuild the tail instead of inserting
+    # it: delete any blanket DROP wherever it sits, keep the three ACCEPTs
+    # at the head (-C before -I, unchanged), then APPEND the DROP so it is
+    # last and the ACCEPTs decide first. Converges on poisoned hosts.
+    run_privileged iptables -D INPUT -p tcp --dport 18093 -j DROP 2>/dev/null || true
     run_privileged iptables -C INPUT -p tcp --dport 18093 -s 127.0.0.1 -j ACCEPT 2>/dev/null \
         || run_privileged iptables -I INPUT -p tcp --dport 18093 -s 127.0.0.1 -j ACCEPT
     run_privileged iptables -C INPUT -p tcp --dport 18093 -s 192.168.0.143 -j ACCEPT 2>/dev/null \
         || run_privileged iptables -I INPUT -p tcp --dport 18093 -s 192.168.0.143 -j ACCEPT
     run_privileged iptables -C INPUT -p tcp --dport 18093 -s 10.89.0.0/16 -j ACCEPT 2>/dev/null \
         || run_privileged iptables -I INPUT -p tcp --dport 18093 -s 10.89.0.0/16 -j ACCEPT
-    run_privileged iptables -C INPUT -p tcp --dport 18093 -j DROP 2>/dev/null \
-        || run_privileged iptables -I INPUT -p tcp --dport 18093 -j DROP
+    run_privileged iptables -A INPUT -p tcp --dport 18093 -j DROP
     # The interpreter needs a moment to bind after restart; a one-shot curl
     # raced the socket on 2026-09-17 and failed a healthy deploy.
     local i
@@ -311,8 +319,45 @@ copy_loki_config() {
 }
 
 copy_alloy_config() {
-    run_privileged mkdir -p /opt/alloy/config
-    run_privileged cp shared/alloy/config.alloy /opt/alloy/config/config.alloy
+    # The repo config carries the token GRAFANA_HOST_LABEL; the installed copy
+    # carries the host's name, so Loki streams say WHICH machine's journal a
+    # line came from without a second config file per host.
+    # *_CONF_ROOT are test seams: the bats cases execute these copiers for
+    # real against a sandbox with a stubbed run_privileged.
+    local root="${ALLOY_CONF_ROOT:-/opt/alloy}" tmp
+    tmp="$(mktemp)"
+    sed "s/GRAFANA_HOST_LABEL/$TARGET/g" shared/alloy/config.alloy > "$tmp"
+    if ! grep -q "host = \"$TARGET\"," "$tmp" || grep -q "GRAFANA_HOST_LABEL" "$tmp"; then
+        echo "alloy config: host-label substitution failed" >&2
+        rm -f "$tmp"
+        return 1
+    fi
+    # Syntax gate: alloy's config language has no schema — a misplaced
+    # attribute (e.g. `on_error` outside the json stage) parses only at RUN
+    # time, and the unit then crash-loops with a healthy-looking deploy.
+    # Validate against the very image that will run it, before installing.
+    # Skipped only in the bats sandbox (no image there).
+    if [ "$root" = "/opt/alloy" ] || podman image exists localhost/franksdank/alloy:latest 2>/dev/null; then
+        if ! podman run --rm -v "$tmp:/c.alloy:ro" \
+                --entrypoint /usr/bin/alloy localhost/franksdank/alloy:latest \
+                validate /c.alloy; then
+            echo "alloy config: validate FAILED against the pinned image" >&2
+            rm -f "$tmp"
+            return 1
+        fi
+    fi
+    run_privileged mkdir -p "$root/config"
+    run_privileged cp "$tmp" "$root/config/config.alloy"
+    rm -f "$tmp"
+}
+
+copy_blackbox_config() {
+    # Single-file mount target: the unit binds this exact path into
+    # /etc/blackbox_exporter/config.yml. cp (not cp -r) keeps it one file.
+    # BLACKBOX_CONF_ROOT is the same test seam.
+    local root="${BLACKBOX_CONF_ROOT:-/opt/blackbox}"
+    run_privileged mkdir -p "$root"
+    run_privileged cp shared/blackbox/blackbox.yml "$root/blackbox.yml"
 }
 
 copy_grafana_provisioning() {
@@ -321,14 +366,25 @@ copy_grafana_provisioning() {
     # datasource would be invisible to review, lost with the data volume, and
     # unknown to anyone reading the repository. The unit already mounts
     # /opt/grafana/provisioning read-only, so this only has to populate it.
-    run_privileged mkdir -p /opt/grafana/provisioning/datasources \
-        /opt/grafana/provisioning/dashboards
+    # GRAFANA_PROV_ROOT is the test seam: point it at a sandbox and the whole
+    # copy runs unprivileged (the bats case executes this function for real).
+    local root="${GRAFANA_PROV_ROOT:-/opt/grafana}"
+    run_privileged mkdir -p "$root/provisioning/datasources" \
+        "$root/provisioning/dashboards"
     run_privileged cp shared/grafana/provisioning/datasources/prometheus.yml \
-        /opt/grafana/provisioning/datasources/prometheus.yml
+        "$root/provisioning/datasources/prometheus.yml"
     run_privileged cp shared/grafana/provisioning/dashboards/provider.yml \
-        /opt/grafana/provisioning/dashboards/provider.yml
-    run_privileged cp shared/grafana/provisioning/dashboards/llm-fleet.json \
-        /opt/grafana/provisioning/dashboards/llm-fleet.json
+        "$root/provisioning/dashboards/provider.yml"
+    # EVERY dashboard JSON rides, not a hand-listed subset: the fleet provider
+    # turns each file in the directory into a dashboard, so a copier that names
+    # files one by one silently drops new boards (measured 2026-10-21: the
+    # containers board existed in the repo since its commit and was NEVER
+    # provisioned — the panel-census browser check could not find it while the
+    # hand-placed older boards happened to be on disk). Same rule as the quadlet
+    # tier: the directory is the contract, the copy is generated state.
+    for dash in shared/grafana/provisioning/dashboards/*.json; do
+        run_privileged cp "$dash" "$root/provisioning/dashboards/$(basename "$dash")"
+    done
 }
 
 render_caddyfile() {
@@ -552,6 +608,9 @@ deploy_observability() {
             ;;
         cadvisor)
             ;;
+        blackbox-exporter)
+            copy_blackbox_config
+            ;;
         *)
             echo "unknown observability service: $service" >&2
             return 2
@@ -566,6 +625,9 @@ deploy_observability() {
         loki) wait_for_health loki http://127.0.0.1:3100/ready 60 ;;
         node-exporter) wait_for_health node-exporter http://127.0.0.1:9100/metrics 60 ;;
         cadvisor) wait_for_health cadvisor http://127.0.0.1:8080/healthz 90 ;;
+        # Loopback: the exporter binds 127.0.0.1 + LAN (the gateway address
+        # is not bindable from the host netns — see the unit header).
+        blackbox-exporter) wait_for_health blackbox-exporter http://127.0.0.1:9115/-/healthy 60 ;;
     esac
 }
 
@@ -1140,7 +1202,76 @@ deploy_romm_stack() {
     systemctl --user restart "$service.service"
 }
 
+ensure_media_view() {
+    # Both media servers read their library through the SSD-backed overlay view
+    # (scripts/media-view.sh, dankserver/host/systemd/media-meta-view.mount): the
+    # array below stays read-only and every sidecar Jellyfin writes lands on the
+    # NVMe.
+    # Raise it BEFORE either container starts — a start against a bare view
+    # directory would let a scan clear the library database. Each unit gates on
+    # scripts/wait-for-mount.sh, which waits and then refuses the start. A
+    # relayout must be followed by `media-view.sh reap`
+    # (see the Media Relayout page), which this is not.
+    run_privileged bash scripts/media-view.sh install
+    bash scripts/media-view.sh verify
+}
+
+ensure_user_io_delegate() {
+    # The media servers ask for an I/O share (IOWeight= in their quadlets) so a
+    # library scan cannot starve playback or the array's other reader. Two system
+    # drop-ins are what make that request real, and both are host state, so the
+    # deployer places them:
+    #   user.slice.d/io-accounting.conf        io enters user.slice's subtree
+    #   user@1000.service.d/io-delegate.conf   the user manager gets the controller
+    # Without the first, `io` never appears in user.slice/cgroup.subtree_control,
+    # so no container under it can have an io.weight file at all; without the
+    # second the user manager never asks for the controller. systemd hands
+    # user@.service cpu/memory/pids by default and drops a line it cannot honour
+    # without a word — IOWeight= on its own is inert config.
+    local src dst
+    for src in \
+        dankserver/host/systemd/user.slice.d/io-accounting.conf \
+        dankserver/host/systemd/user@1000.service.d/io-delegate.conf; do
+        dst=/etc/systemd/system/${src#dankserver/host/systemd/}
+        run_privileged mkdir -p "$(dirname "$dst")"
+        if ! run_privileged cmp -s "$src" "$dst"; then
+            run_privileged install -m 644 "$src" "$dst"
+            run_privileged systemctl daemon-reload
+        fi
+    done
+    # Accounting lands immediately; the delegation is read when user@1000.service
+    # starts, and restarting that unit would kill every rootless container on this
+    # host. So the share becomes real at the next reboot — say so out loud rather
+    # than let a quadlet line read as live config.
+    if ! systemctl show user@1000.service -p DelegateControllers | grep -qw io; then
+        echo "NOTE: io is not delegated to user@1000.service yet - IOWeight= is"
+        echo "NOTE: inert until the next reboot (see [[Quadlet Lifecycle]])"
+    fi
+}
+
+ensure_provider_keys() {
+    # Jellyfin's metadata-provider keys live in the container-owned plugin
+    # configuration under the data root, never in git; scripts/jellyfin-providers.sh
+    # is what places them, reading the per-service host env file (the fleet
+    # convention: grafana, caddy, pihole, copyparty, romm, seerr) that holds
+    # TMDB_API_KEY= and TVDB_API_KEY=, mode 600.
+    # Missing keys mean a keyless provider — a degraded library, not a broken
+    # deploy — so this warns rather than failing the restart. But when the keys
+    # ARE placed it must happen before the restart: the plugin and its keys are
+    # read at start-up, so a restart first would boot the old state.
+    local keys=/home/dank/Containers/jellyfin/provider-keys
+    if [ -f "$keys" ]; then
+        bash scripts/jellyfin-providers.sh install
+    else
+        echo "WARN: $keys is absent - provider keys NOT placed"
+        echo "WARN: create it (TMDB_API_KEY=, TVDB_API_KEY=, chmod 600) and re-deploy jellyfin"
+    fi
+}
+
 deploy_jellyfin() {
+    ensure_media_view
+    ensure_user_io_delegate
+    ensure_provider_keys
     cp "dankserver/jellyfin/quadlet/jellyfin.container" "$quadlet_unit_dir/"
     systemctl --user daemon-reload
     if ! systemctl --user is-active -q jellyfin.service; then
@@ -1228,6 +1359,8 @@ deploy_copyparty() {
 }
 
 deploy_plex() {
+    ensure_media_view
+    ensure_user_io_delegate
     cp "dankserver/plex/quadlet/plex.container" "$quadlet_unit_dir/"
     systemctl --user daemon-reload
     if ! systemctl --user is-active -q plex.service; then
@@ -1300,11 +1433,17 @@ deploy_authentik() {
     # generated". Boot persistence comes from [Install] WantedBy=default.target
     # inside each .container file, which the generator honors at user-manager
     # start (linger must stay on for the deploy user).
-    systemctl --user start authentik-postgres.service
+    # RESTART, not start: `start` on an already-active unit is a no-op, so an
+    # image bump would install the new digest and keep serving the old
+    # container while every gate stayed green (measured 2026-10-30: server and
+    # worker stayed on the previous release beside an outpost that moved,
+    # because only the outpost handler restarts). The generator has already
+    # re-rendered the unit from the .container, so a restart is what applies it.
+    systemctl --user restart authentik-postgres.service
     wait_container_healthy authentik-postgres 120 || return 1
-    systemctl --user start authentik-server.service
+    systemctl --user restart authentik-server.service
     wait_container_healthy authentik-server 300 || return 1
-    systemctl --user start authentik-worker.service
+    systemctl --user restart authentik-worker.service
 }
 
 deploy_authentik_outpost() {
@@ -1401,9 +1540,10 @@ deploy_anubis() {
 # conversion (2026-10-11) of the abliterated Qwen3.8-Flash-Next —
 # qwen38-flash-next-v2-abliterated.hgn (66,687,678,432 B, ~62 GiB resident)
 # + the REQUIRED n-gram lookup table + the vision tower — MTP spec decode
-# (HALOGEN_SPEC_ADAPT=0), 2 slots over ONE 401,408-position KV pool (2 × ctx,
-# raised 2026-10-18 so BOTH slots can hold a maximum-length request) at the
-# ctx 200704 ceiling, image input — on the Strix Halo iGPU. It stays a
+# (HALOGEN_SPEC_ADAPT=0), 2 slots over ONE 401,408-position KV pool at the
+# native ctx 262144 ceiling (raised 2026-10-21 from 200704 so the harness can
+# run a 200,000 window with its ~45k fit gap; the pool still carries two
+# 200k conversations at once), image input — on the Strix Halo iGPU. It stays a
 # ROOT unit because the serve script drives `podman run` directly (the frank-archon pattern):
 # relink_unit points /etc/systemd/system/frank-dragoon.service at the repo
 # file, boot persistence is that unit's [Install], and LimitMEMLOCK=infinity
@@ -1419,7 +1559,7 @@ deploy_anubis() {
 # artifact would leave a restart-looping unit and a dark endpoint. The
 # port gate is the same as every cutover since 2026-09-16: nothing
 # starts until 7770 is released.
-LLM_DRAGOON_IMAGE="${LLM_DRAGOON_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a}"
+LLM_DRAGOON_IMAGE="${LLM_DRAGOON_IMAGE:-ghcr.io/peonist-ai/halogen-flash-server@sha256:e35133b206da3094cc4d70c78800b26235bd9124b9aeb0e029d4a7c153b9cff0}"
 # The payload dir is its own twin because the NPU lane's containment gate below
 # reads it; every artifact path under it stays a full literal as usual.
 LLM_DRAGOON_MODEL_DIR="${LLM_DRAGOON_MODEL_DIR:-/home/dank/models/halogen-v2-abliterated}"
@@ -2033,7 +2173,7 @@ deploy_service() {
         plex) deploy_plex ;;
         tautulli) deploy_tautulli ;;
         alloy) deploy_alloy ;;
-        prometheus|grafana|loki|node-exporter|cadvisor|alertmanager) deploy_observability "$service" ;;
+        prometheus|grafana|loki|node-exporter|cadvisor|alertmanager|blackbox-exporter) deploy_observability "$service" ;;
         gpu-exporter) deploy_gpu_exporter ;;
         comfyui) deploy_comfyui ;;
         *) deploy_compose_service "$service" ;;

scripts/deploy.sh

@@ -133,13 +133,15 @@ fi
 valid_service() {
     local service="$1"
     case "$TARGET:$service" in
+        # dankclaw:searxng-network is client-only: a network quadlet with no
+        # remote dispatch handler, so the remote gate does not (must not) list it.
         dankclaw:caddy|dankclaw:gluetun|dankclaw:searxng-network|dankclaw:searxng-valkey|\
         dankclaw:searxng|dankclaw:marreta|dankclaw:pihole|dankclaw:open-webui|dankclaw:gitea-postgres|\
         dankclaw:gitea-server|dankclaw:homepage|\
         dankclaw:comfyui|dankclaw:hermes|dankclaw:hermes-dashboard|\
         dankclaw:hermes-webui|dankclaw:prometheus|dankclaw:grafana|dankclaw:loki|dankclaw:alloy|\
-        dankclaw:alertmanager|\
-        dankclaw:node-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
+        dankclaw:alertmanager|dankclaw:blackbox-exporter|\
+        dankclaw:node-exporter|dankclaw:cadvisor|dankclaw:gpu-exporter|dankclaw:authentik-postgres|dankclaw:authentik-server|\
         dankclaw:authentik-worker|dankclaw:authentik-outpost|dankclaw:authentik-outpost-ldap|dankclaw:anubis|dankclaw:seerr|\
         dankclaw:open-notebook|\
         dankclaw:frank-tts-engine|dankclaw:frank-tts|\
@@ -147,8 +149,8 @@ valid_service() {
         dankserver:romm-mariadb|dankserver:romm-redis|dankserver:romm|\
         dankserver:copyparty|dankserver:jellyfin|dankserver:calibre-web|dankserver:calibre-server|dankserver:plex|dankserver:tautulli|\
         dankserver:qbittorrent|dankserver:radarr|dankserver:sonarr|\
-        dankserver:lidarr|dankserver:readarr|dankserver:node-exporter|\
-        dankserver:frank-archon|\
+        dankserver:lidarr|dankserver:readarr|dankserver:node-exporter|dankserver:cadvisor|dankserver:gpu-exporter|\
+        dankserver:prowlarr|dankserver:frank-archon|\
         frankbook-pro:gluetun|frankbook-pro:qbittorrent|frankbook-pro:prowlarr|\
         frankbook-pro:radarr|frankbook-pro:sonarr|frankbook-pro:lidarr|\
         frankbook-pro:readarr)

scripts/derive-protected-experts.py

@@ -20,9 +20,16 @@ of the Gram is its down-input energy. Rank halves: 0-255, 256-511
 Output: the cast-rule lines (recipe format) on stdout, a report on stderr.
 
 Usage: derive-protected-experts.py <calib dir> [--min-share 0.03]
-       [--min-route-mult 3.0]
+       [--min-route-mult 3.0] [--target-count 0]
+       --target-count N fills the byte bill: the bars pick the base set exactly as
+       the bar-only pass does, then the energy ranking admits experts one at a time
+       (each with its parity partner) until the count lands. The energy bar NEVER
+       relaxes, so asking for 48 bf16 experts never quietly buys 80; the ratio bar
+       walks down only when the ranking cannot produce that many candidates.
+       0 takes the bars as given.
 """
 import argparse
+import collections
 import glob
 import os
 import re
@@ -32,6 +39,7 @@ import sys
 import numpy as np
 
 NAME_RE = re.compile(r"^gram\.r(\d)\.blk\.(\d+)\.ffn_down_exps\.(\d+)\.bin$")
+CAST_RE = re.compile(r"^blk\.(\d+)\.ffn_\*_exps\.(\d+)\.weight")
 
 
 def read_gram(path):
@@ -49,27 +57,8 @@ def read_gram(path):
     return k, rank, int(rows), tr
 
 
-def main():
-    ap = argparse.ArgumentParser()
-    ap.add_argument("calib_dir")
-    ap.add_argument("--min-share", type=float, default=0.03)
-    ap.add_argument("--min-route-mult", type=float, default=3.0)
-    a = ap.parse_args()
-
-    # layer -> global expert -> (rank, rows, energy)
-    data = {}
-    for path in sorted(glob.glob(os.path.join(
-            a.calib_dir, "gram.r*.ffn_down_exps.*.bin"))):
-        m = NAME_RE.match(os.path.basename(path))
-        if not m:
-            continue
-        rank, layer, expert = int(m.group(1)), int(m.group(2)), int(m.group(3))
-        k, _, rows, tr = read_gram(path)
-        data.setdefault(layer, {})[expert] = (rank, rows, tr)
-
-    if not data:
-        raise SystemExit("no per-expert down grams found")
-
+def select(data, min_share, min_route_mult):
+    """(cast lines, report lines, count) for one pair of bars."""
     lines, report = [], []
     total = 0
     for layer in sorted(data):
@@ -83,7 +72,7 @@ def main():
         for e, (rank, rows, tr) in experts.items():
             es, rs = tr / tot_e, rows / max(tot_r, 1)
             rec = (e, rank, es, rs)
-            if es >= a.min_share and es >= a.min_route_mult * rs:
+            if es >= min_share and es >= min_route_mult * rs:
                 qual.append(rec)
             elif es > 0:
                 pool.append(rec)
@@ -107,10 +96,148 @@ def main():
                           f"energy {es*100:5.2f}%, routing {rs*100:5.3f}%, "
                           f"ratio {es/max(rs,1e-12):6.1f}")
         total += len(chosen)
+    return lines, report, total
+
+
+def parity_repair(chosen, by_half, report, only=None):
+    """Add the next-best candidate to every half — or to `only` — holding an odd count.
+
+    The four-bit GEMM takes each half's remainder as two equal tables, so an odd count
+    of bf16 experts on a half is not a style problem: the two tables would not match.
+    `by_half` is energy-descending, so the first unchosen candidate is the next most
+    energetic, which is the expert worth keeping. Returns how many were added.
+    """
+    added = 0
+    for key in ([only] if only is not None else sorted(by_half)):
+        layer, half = key
+        n = sum(1 for (l, x) in chosen if l == layer and x // 256 == half)
+        if n % 2 == 0:
+            continue
+        for e, es, rs in by_half.get(key, []):
+            if (layer, e) not in chosen:
+                chosen[(layer, e)] = (es, rs)
+                added += 1
+                report.append(f"blk.{layer}: half {half} odd -> added e{e} "
+                              f"(energy {es*100:.2f}%)")
+                break
+        else:
+            report.append(f"blk.{layer}: half {half} holds {n} and no candidate is "
+                          f"left to make it even")
+    return added
+
+
+def select_to_count(data, min_share, min_route_mult, target):
+    """(lines, report, total, cutoff) for the set that LANDS the count.
+
+    The bars decide the base set; the count is then filled from the energy ranking,
+    one expert at a time, each addition taking its half's next-best candidate with it
+    so every rank's half stays even. Only the RATIO bar walks down to find candidates
+    — it is the law that says an expert is disproportionate and not merely busy, and
+    the caller's byte bill has to be filled — while the ENERGY bar holds, because that
+    bar is what the extra GiB of bf16 is supposed to buy. `cutoff` is the energy share
+    the set bottoms out at: the bar this campaign actually converted with.
+    """
+    report = []
+    shares, ranked = {}, []
+    for layer in sorted(data):
+        experts = data[layer]
+        tot_e = sum(v[2] for v in experts.values())
+        tot_r = sum(v[1] for v in experts.values())
+        if tot_e <= 0 or tot_r <= 0:
+            report.append(f"blk.{layer}: empty recording, skipped")
+            continue
+        for e, (_rank, rows, tr) in experts.items():
+            es, rs = tr / tot_e, rows / max(tot_r, 1)
+            if es <= 0:
+                continue
+            shares[(layer, e)] = (es, rs)
+            ranked.append((es, layer, e, rs))
+    ranked.sort(key=lambda r: (-r[0], r[1], r[2]))
+    by_half = {}
+    for es, layer, e, rs in ranked:
+        by_half.setdefault((layer, e // 256), []).append((e, es, rs))
+
+    chosen = {k: v for k, v in shares.items()
+              if v[0] >= min_share and v[0] >= min_route_mult * v[1]}
+    total = len(chosen)
+    total += parity_repair(chosen, by_half, report)
+
+    mult = min_route_mult
+    while True:
+        pool = [(es, l, e, rs) for es, l, e, rs in ranked
+                if es >= mult * rs and (l, e) not in chosen]
+        if len(pool) + total >= target or mult <= 0.0:
+            break
+        mult -= 0.5
+        report.append(f"ratio bar {mult + 0.5:g} leaves {len(pool)} fill candidates "
+                      f"for {target - total} slots; relaxing toward 0")
+    for es, layer, e, rs in pool:
+        if total >= target:
+            break
+        if (layer, e) in chosen:
+            continue
+        chosen[(layer, e)] = (es, rs)
+        total += 1
+        report.append(f"blk.{layer}: count fill -> added e{e} (energy {es*100:.2f}%)")
+        total += parity_repair(chosen, by_half, report, only=(layer, e // 256))
+    lines, cutoff = [], None
+    for (layer, e) in sorted(chosen):
+        es, rs = chosen[(layer, e)]
+        cutoff = es if cutoff is None else min(cutoff, es)
+        lines.append(f"blk.{layer}.ffn_*_exps.{e}.weight         cast dtype=bf16")
+    return lines, report, total, cutoff
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("calib_dir")
+    ap.add_argument("--min-share", type=float, default=0.03)
+    ap.add_argument("--min-route-mult", type=float, default=3.0)
+    ap.add_argument("--target-count", type=int, default=0)
+    a = ap.parse_args()
+
+    # layer -> global expert -> (rank, rows, energy)
+    data = {}
+    for path in sorted(glob.glob(os.path.join(
+            a.calib_dir, "gram.r*.ffn_down_exps.*.bin"))):
+        m = NAME_RE.match(os.path.basename(path))
+        if not m:
+            continue
+        rank, layer, expert = int(m.group(1)), int(m.group(2)), int(m.group(3))
+        k, _, rows, tr = read_gram(path)
+        data.setdefault(layer, {})[expert] = (rank, rows, tr)
+
+    if not data:
+        raise SystemExit("no per-expert down grams found")
+
+    if a.target_count > 0:
+        lines, report, total, cutoff = select_to_count(
+            data, a.min_share, a.min_route_mult, a.target_count)
+        bar = f"energy cutoff {cutoff:.3g}" if cutoff is not None else "no candidates"
+    else:
+        lines, report, total = select(data, a.min_share, a.min_route_mult)
+        bar = f"min-share {a.min_share:.3g}"
+
+    # The emitted lines ARE the contract with the four-bit GEMM: every rank's half of
+    # every layer must hold an even number of bf16 experts. Judged on the output and
+    # not on the internal sets, so a slip in either pass is caught here rather than at
+    # engine load time.
+    halves = collections.Counter()
+    for rule in lines:
+        m = CAST_RE.match(rule)
+        if m:
+            halves[(int(m.group(1)), int(m.group(2)) // 256)] += 1
+    odd = {key: n for key, n in halves.items() if n % 2}
+    if odd:
+        print("PARITY LAW BROKEN: " + ", ".join(
+            f"blk.{lay} half {half} holds {n} protected experts"
+            for (lay, half), n in sorted(odd.items())), file=sys.stderr)
+        raise SystemExit(2)
 
     print("\n".join(lines))
     print("\n".join(report), file=sys.stderr)
-    print(f"total protected: {total}", file=sys.stderr)
+    print(f"total protected: {total} (target {a.target_count or 'none'}, {bar}, "
+          f"min-route-mult {a.min_route_mult:g})", file=sys.stderr)
 
 
 if __name__ == "__main__":

scripts/download-frank-dragoon-npu.sh

@@ -8,8 +8,10 @@
 # (/opt/halogen/npu/models.txt inside the image) and refuses to load a model
 # whose files do not match.
 #
-# The manifest below IS that catalog block (dumped from the pinned 0.16.2
-# image on 2026-10-19), so the files land in the layout the entrypoint
+# The manifest below IS that catalog block (dumped from the pinned 0.18.20
+# image on 2026-10-30; the 0.16.2 block this replaced named different device
+# programs — 10 `u*.elf` and a 5,086,496 B consts.hnpb — so a version bump
+# re-fetches the set or the entrypoint refuses the boot), so the files land in the layout the entrypoint
 # expects — <dir>/<model-id>/devices/*, <dir>/<model-id>/<model-id>.hnpw and
 # <dir>/<model-id>/tokenizer/tokenizer.json — and the endpoint can keep
 # /models read-only and open no outbound connection at boot (HALOGEN_DOWNLOAD
@@ -57,21 +59,25 @@ manifest() {
     case "$1" in
       qwen3-embedding-0.6b)
         NPU_REPO="peonist-ai/halogen-npu-qwen3-embedding-0.6b"
-        NPU_REV="4960fd9d4423dd15373ad21c83db48dbdb3b2798"
+        NPU_REV="8fd44c9f18861618a509bea75c51ff8a37e3bd5d"
         FILES=(
         "devices/NOTICE.md 3248 0f267b3d2523ddf14997ee58660a492a9eaf10ccf6b08bf19dfdc85b9a478b91"
-        "devices/consts.hnpb 5086496 ae430e41545a0b1012938cda373b0c450364d3be631111cca3a8c43679f93336"
-        "devices/devices.hnpm 24047 4e9bca9d95d084fb89ce5b99f579a00666c8ca1efae2613c53e3a4878cc9f174"
-        "devices/u0.elf 4931968 b38f165886cb037b7d3951d9cb878473eaba58a432acd45416ff85fd88aa4e46"
-        "devices/u1.elf 5456000 b1811feee851b8af833b37721da92099d89772110815bbbe2c3fa1c276f0ff42"
-        "devices/u2.elf 6505552 406ea9a95b470628a7382e376f4a72cdf4d7aa4c59b4ddf0a4bdd139d63d6ff2"
-        "devices/u3.elf 6817216 bc205d51b523d770151a0c61968f7c70bf624412827580bb6fe0aaf4650dc2ee"
-        "devices/u4.elf 7444032 a5a91338a2603acdcd5c11df532033fda2d3f5479ea44ae87f98fafbdff9a62d"
-        "devices/u5.elf 7432416 6c2bf41835569e0eba25ded7c05c7264ae69c6700bdeb4791057d884f2a4c126"
-        "devices/u6.elf 4941232 919d0038ca088eafddf195f3466ff38db27d3635be1cffa5d4d4b5140902a68e"
-        "devices/u7.elf 5488304 d904cf8afae9428dd167960549e18cce5441745f18c62f8c50975dffc077d3c2"
-        "devices/u8.elf 4941232 db3aef69b17825854ee0dd2df475125a3f5c872f95c686793d6af1ee83596fa7"
-        "devices/u9.elf 5488304 d182727e551084db8fb9600441d8aa373c7f09a3d267ae0a5e921ef92326db1c"
+        "devices/consts.hnpb 8495512 5af7c1f2f24d45a9054872bba882461cf7f6ffda832e785b700643d6467ad88b"
+        "devices/devices.hnpm 35465 85d870f6b900de1829659955f0dc701d57984580f5e5ec251add5d6969f03e3d"
+        "devices/u0.elf 2975008 f74df12eb8c79e4e90cbedcc1dd8f142219772d400e3a142fde8a95378b105eb"
+        "devices/u1.elf 3266848 ac5a3f89f934951b315b62ab53e1d0a74dbe6396134192641c405d08da332754"
+        "devices/u2.elf 4015328 5e4f0d3342f262816289866d7e8c966f56a9f938c2e12e7341718cc7312aa480"
+        "devices/u3.elf 4326976 94cf5d269fa286d91c26bf4654cedf101c047d23c4495b74c9c129cdc33b210f"
+        "devices/u4.elf 4953792 cbd2796050d4c675f5cb3da117111087d510173e26f262f1b36aab66dd49dc91"
+        "devices/u5.elf 4940112 7bf6a4470546bb888da02af395c07d92a24fb6d43aef27eb2151b3a9eda19e4d"
+        "devices/u6.elf 6174544 10b9d50b635993e1f9c23775c0b94901d922c1e433cd10910e9f97174235f5ac"
+        "devices/u7.elf 2983776 e0b06063b7379d05c85b3f435b819d96fda1223d8025d6d15958854b5711ace9"
+        "devices/u8.elf 3298656 3bad204f782a68b97e27c1172530b13d7fbb0b495fa95f9504530a1048560644"
+        "devices/u9.elf 2983776 875e313280358ce116e2a51a29a2c42794b5a9fadb3d48db702c90d18d838c2c"
+        "devices/u10.elf 3298656 ef2e0f399f149a5476955bcf233c6fa2e896fcef1f86ecb0d8113c952c41a8b2"
+        "devices/u11.elf 3298656 68a2519eee2d6a61ccc4ca2007e3186d44c9eb4e81162d742fe2f1756ec5a528"
+        "devices/u12.elf 3298656 2bdc6abfa58cac1d5795a3ef52fe8a9ab4e7c2a4792822d615499a913401f728"
+        "devices/u13.elf 3298656 4a3ce14f7ba15987b9bcbb4a010083e8aef68cd87c20cbe43403a98263179fe2"
         "qwen3-embedding-0.6b.hnpw 813032248 b9f9901429df7b46ec17153aa3899f738adbea8e4356080da0c6e6586fb750d1"
         "tokenizer/tokenizer.json 11423705 def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a"
         ) ;;
@@ -99,7 +105,18 @@ for MODEL in ${MODELS//,/ }; do
                 # 62 GiB fetch hit this on 2026-10-18).
                 url=$(curl -sfIL -o /dev/null -w '%{url_effective}' "$HF/$NPU_REPO/resolve/$NPU_REV/$f") \
                     || { echo "cannot resolve $NPU_REPO/$f" >&2; exit 1; }
-                curl -fL --retry 5 -C - -o "$path" "$url"
+                # Resume ONLY into a genuinely partial file. A staged file of a
+                # DIFFERENT size is an artifact of another revision (a version
+                # bump re-cuts the device programs), and `-C -` against it
+                # appends the tail to the old bytes: the result is the right
+                # BYTE COUNT with the wrong content, which reads as a corrupt
+                # program, not as a fetch fault (measured 2026-10-30 on
+                # consts.hnpb). Fetch those from zero.
+                resume=()
+                if [ -f "$path" ] && [ "$(stat -c %s "$path")" -lt "$want" ]; then
+                    resume=(-C -)
+                fi
+                curl -fL --retry 5 "${resume[@]+"${resume[@]}"}" -o "$path" "$url"
             fi
         fi
         [ -f "$path" ] || { echo "MISSING $path (run without --verify-only)" >&2; exit 1; }

scripts/download-qwen38-bf16.sh

@@ -0,0 +1,249 @@
+#!/usr/bin/env bash
+# download-qwen38-bf16.sh — RUNS ON DANKSERVER. Fetch and verify the vendor
+# BF16 checkpoint Qwen/Qwen3.8-Flash-Next: the source the five-bit campaign
+# converts, and the source the KLD reference is recorded from.
+#
+# Why the base and not a finetune: the campaign converts to compare against the
+# publisher's own iq4r container, and that container was built from this
+# checkpoint. Base-in, base-out; anything else confounds the gate. (The
+# predecessor campaign ran ukisai/Swift-1.5-Qwen3.8-Flash-Next-BF16, whose key
+# set is identical to this repo's but whose weights are not — none of its
+# calibration grams, KLD reference or protected list carries over.)
+#
+# Why re-fetch instead of reusing: every BF16 copy of this family was destroyed
+# in the 2026-10-15 storage purge — only the 113.6 GiB served .rad survived.
+# 335.3 GiB of safetensors, 131 shards, ungated (the predecessor campaign
+# verified the key set against this repo, so no gate letter is needed).
+#
+# Verification is four gates deep, because the failure this repo actually lived
+# through is a fetch that reported success: `curl -o FILE URL` exits 0 on an
+# HTTP 401/403 and writes the error body as the artifact — three shards of
+# identical tiny size and a cheerful DONE in 20 seconds for 104 GiB.
+#
+#   1. shard census: the file count must equal the expected shard count, so a
+#      partially fetched fragment tree (the .partNofM trap) cannot pass.
+#   2. per-shard completeness, from the shard's OWN safetensors header: the
+#      header declares where the tensor data ends, so every shard's true size is
+#      known offline. A torn tail is named here, by file, instead of surfacing
+#      as a load error five hours later.
+#   3. index coverage: every shard model.safetensors.index.json references
+#      exists and is named.
+#   4. total bytes against the number the Hub declared, then, unless --no-hub,
+#      every file's sha256 against the Hub's LFS record — including the shards
+#      already on disk, so a previous partial download is never trusted.
+#
+# The token never enters a command line (the 2026-09-16 leak law): it is read
+# into HF_TOKEN in the environment, where a local process listing is the only
+# reader. This repo is ungated, so the fetch simply runs without one when no
+# token file exists. scripts/hfget.sh is curl+jq only — no Python, no venv, no
+# hf_transfer — and it drops the pickle/ONNX weight duplicates by itself.
+#
+# usage: download-qwen38-bf16.sh [--fetch] [--no-hub] [--dir DIR]
+#                                [--shards N] [--bytes B] [--repo ID]
+#   --fetch    download first (resumable: re-run to continue), then verify
+#   --no-hub   skip the Hub-side sha256 sweep; the other gates always run
+# exit: 0 verified, 1 verification failed, 2 environment / usage error
+set -euo pipefail
+
+REPO="${FRANK_QWEN38_HF_REPO:-Qwen/Qwen3.8-Flash-Next}"
+LOCAL_DIR="${FRANK_QWEN38_CKPT:-/home/dank/models/Qwen3.8-Flash-Next}"
+# Hub census of 2026-10-27: 144 files, 131 of them .safetensors, together
+# 360,023,351,514 bytes; the shards alone are 360,000,192,888. This gate counts
+# shards only, so a config file edited on the Hub cannot fail it.
+EXPECTED_SHARDS="${FRANK_QWEN38_SHARDS:-131}"
+EXPECTED_BYTES="${FRANK_QWEN38_BYTES:-360000192888}"
+MIN_FREE_MIB="${FRANK_QWEN38_MIN_FREE_MIB:-350000}"
+
+FETCH=0
+HUB=1
+while [ $# -gt 0 ]; do
+    case "$1" in
+        --fetch) FETCH=1 ;;
+        --no-hub) HUB=0 ;;
+        --dir)    LOCAL_DIR="$2"; shift ;;
+        --shards) EXPECTED_SHARDS="$2"; shift ;;
+        --bytes)  EXPECTED_BYTES="$2"; shift ;;
+        --repo)   REPO="$2"; shift ;;
+        *) echo "usage: ${0##*/} [--fetch] [--no-hub] [--dir DIR] [--shards N] [--bytes B] [--repo ID]" >&2
+           exit 2 ;;
+    esac
+    shift
+done
+
+SELF_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+FAILS=0
+note() { echo "$@"; FAILS=$((FAILS + 1)); }
+
+if [ "$FETCH" = "1" ]; then
+    # Every fetch gate is a hard stop: skipping the download silently and then
+    # verifying a half tree is how a campaign ships a stale payload.
+    HFGET="$SELF_DIR/hfget.sh"
+    if [ ! -f "$HFGET" ]; then
+        echo "REFUSED: the fetch helper is not here: $HFGET" >&2
+        exit 2
+    fi
+    if ! command -v jq >/dev/null 2>&1; then
+        echo "REFUSED: hfget.sh needs jq on PATH" >&2
+        exit 2
+    fi
+    mkdir -p "$LOCAL_DIR"
+    # The campaign's peak-disk law starts at the fetch: the checkpoint and the
+    # reference container built from it are ~335 GiB each, and a tree that does
+    # not fit is discovered hours into a transfer, when it costs the most.
+    free_mib=$(df -m --output=avail "$LOCAL_DIR" | tail -1 | tr -dc '0-9')
+    if [ "${free_mib:-0}" -lt "$MIN_FREE_MIB" ]; then
+        echo "REFUSED: $free_mib MiB free at $LOCAL_DIR; the fetch wants $MIN_FREE_MIB MiB free" >&2
+        echo "         (retire the peak-disk predecessors first — nothing is downloaded, so" >&2
+        echo "         nothing is left half-written)" >&2
+        exit 2
+    fi
+    echo "fetch: $REPO -> $LOCAL_DIR ($free_mib MiB free)"
+    if [ -z "${HF_TOKEN:-}" ]; then
+        CREDSTORE="$HOME/.config/huggingface/credentials/https://huggingface.co"
+        if [ -f "$CREDSTORE" ]; then
+            HF_TOKEN="$(awk '/^ OauthToken: / {print $2; exit}' "$CREDSTORE")"
+        elif [ -f "$HOME/.cache/huggingface/token" ]; then
+            # The legacy single-line token file the hub library writes.
+            HF_TOKEN="$(tr -d '[:space:]' < "$HOME/.cache/huggingface/token")"
+        elif [ -f "$HOME/.hf_token" ]; then
+            HF_TOKEN="$(tr -d '[:space:]' < "$HOME/.hf_token")"
+        fi
+    fi
+    if [ -n "${HF_TOKEN:-}" ]; then
+        export HF_TOKEN
+    fi
+    bash "$HFGET" "$REPO" "$LOCAL_DIR" main
+    unset HF_TOKEN
+fi
+
+if [ ! -d "$LOCAL_DIR" ]; then
+    echo "REFUSED: $LOCAL_DIR does not exist (run with --fetch, or pass --dir)" >&2
+    exit 1
+fi
+INDEX="$LOCAL_DIR/model.safetensors.index.json"
+if [ ! -f "$INDEX" ]; then
+    echo "REFUSED: $INDEX is missing — the checkpoint tree is not addressable without it" >&2
+    exit 1
+fi
+
+echo "== gate 1: shard census ($LOCAL_DIR)"
+SHARDS=$(find "$LOCAL_DIR" -maxdepth 1 -type f -name '*.safetensors' | wc -l)
+if [ "$SHARDS" != "$EXPECTED_SHARDS" ]; then
+    note "FAIL SHARD_COUNT: $SHARDS safetensors files on disk, expected $EXPECTED_SHARDS"
+else
+    echo "  ok: $SHARDS shards"
+fi
+
+echo "== gate 2: every shard is whole, judged by its own header"
+# A safetensors file is [u64 header length][JSON header][tensor data]. The JSON
+# declares where the data ends, so the file's true size is computable offline:
+# 8 + header + the largest end offset. Truncation and error bodies both fall
+# here, and each is reported with the file that caused it.
+while IFS= read -r f; do
+    state=$(python3 - "$f" <<'PY'
+import json, os, struct, sys
+path = sys.argv[1]
+size = os.path.getsize(path)
+try:
+    with open(path, "rb") as fh:
+        (hlen,) = struct.unpack("<Q", fh.read(8))
+        if hlen == 0 or hlen > size:
+            print("NOT_SAFETENSORS")
+            raise SystemExit
+        header = json.loads(fh.read(hlen))
+except Exception:
+    print("NOT_SAFETENSORS")
+    raise SystemExit
+if not header:
+    print("NOT_SAFETENSORS")
+    raise SystemExit
+end = max((v["data_offsets"][1] for v in header.values()
+           if isinstance(v, dict) and "data_offsets" in v), default=0)
+want = 8 + hlen + end
+print("OK" if want == size else f"TRUNCATED want={want} have={size}")
+PY
+)
+    case "$state" in
+        OK) ;;
+        NOT_SAFETENSORS*) note "FAIL NOT_SAFETENSORS: $(basename "$f") is not a safetensors file (an error body written as an artifact?)" ;;
+        TRUNCATED*) note "FAIL TRUNCATED: $(basename "$f") $state" ;;
+    esac
+done < <(find "$LOCAL_DIR" -maxdepth 1 -type f -name '*.safetensors' | sort)
+if [ "$FAILS" -eq 0 ]; then
+    echo "  ok: every shard's data extent matches its size on disk"
+fi
+
+echo "== gate 3: the index's shards are all present"
+INDEX_SHARDS=$(python3 - "$INDEX" <<'PY'
+import json, sys
+map_ = json.load(open(sys.argv[1]))["weight_map"]
+print("\n".join(sorted(set(map_.values()))))
+PY
+)
+while IFS= read -r name; do
+    [ -n "$name" ] || continue
+    if [ ! -f "$LOCAL_DIR/$name" ]; then
+        note "FAIL MISSING: $name is named by the index and is not on disk"
+    fi
+done <<< "$INDEX_SHARDS"
+if [ "$FAILS" -eq 0 ]; then
+    echo "  ok: $(printf '%s\n' "$INDEX_SHARDS" | grep -c .) referenced shards on disk"
+fi
+
+echo "== gate 4: total bytes vs the Hub's declaration"
+TOTAL=$(find "$LOCAL_DIR" -maxdepth 1 -type f -name '*.safetensors' -printf '%s\n' | awk '{s+=$1} END{print s+0}')
+if [ "$TOTAL" != "$EXPECTED_BYTES" ]; then
+    note "FAIL TOTAL_BYTES: shards total $TOTAL bytes, expected $EXPECTED_BYTES"
+else
+    echo "  ok: $TOTAL bytes"
+fi
+
+if [ "$HUB" = "1" ]; then
+    echo "== gate 5: every file's sha256 vs the Hub's LFS record"
+    # size = file size; lfs.sha256 = sha256 of the file itself (LFS or not).
+    TMPD="$(mktemp -d)"
+    trap 'rm -rf "$TMPD"' EXIT
+    MANIFEST="$TMPD/tree.json"
+    PLAN="$TMPD/plan"
+    curl -sf "https://huggingface.co/api/models/$REPO/tree/main?recursive=true&expand=true" \
+        -o "$MANIFEST" || { echo "FAIL: the Hub API call failed — refusing to report success" >&2; exit 1; }
+    python3 - "$MANIFEST" > "$PLAN" <<'PY'
+import json, sys
+for e in json.load(open(sys.argv[1])):
+    if e.get("type") != "file":
+        continue
+    sha = (e.get("lfs") or {}).get("sha256") or e.get("sha") or ""
+    if sha:
+        print(e["path"], e["size"], sha)
+PY
+    BAD=0
+    while read -r rel size sha; do
+        [ -n "${rel:-}" ] || continue
+        if [ ! -f "$LOCAL_DIR/$rel" ]; then
+            note "FAIL MISSING: $rel is on the Hub and not on disk"
+            continue
+        fi
+        have=$(stat -c %s "$LOCAL_DIR/$rel")
+        if [ "$have" != "$size" ]; then
+            note "FAIL SIZE: $rel is $have bytes, Hub says $size"
+            continue
+        fi
+        got=$(sha256sum "$LOCAL_DIR/$rel" | awk '{print $1}')
+        if [ "$got" != "$sha" ]; then
+            note "FAIL SHA256: $rel got $got want $sha"
+            BAD=$((BAD + 1))
+        fi
+    done < "$PLAN"
+    if [ "$BAD" -eq 0 ] && [ "$FAILS" -eq 0 ]; then
+        echo "  ok: sha256 matches for every file"
+    fi
+    rm -rf "$TMPD"
+    trap - EXIT
+fi
+
+if [ "$FAILS" -gt 0 ]; then
+    echo "VERIFY_FAILED: $FAILS problem(s) in $LOCAL_DIR" >&2
+    exit 1
+fi
+echo "VERIFY_OK: $SHARDS shards, $TOTAL bytes of safetensors in $LOCAL_DIR"
+echo "NEXT: build the BF16 reference container with scripts/build-qwen38-bf16-rad.sh"

scripts/frank-archon.env

@@ -74,6 +74,13 @@ FRANK_ARCHON_PLACEMENT=expert_tiered
 # residency -- ~3.2 GiB a card of experts now lives in host RAM and is read over the
 # x8 link when the router picks it. The ledger's coverage line is the referee, not
 # this file: if vram_kv comes back under 700,000 tokens, raise this 1024 and redeploy.
+# 2026-10-29 A/B, measured on both payloads and folded back the same day: at 66,560 the
+# endpoint printed the identical `elastic 26.73 GiB / experts 20.72 / kv cache 5.64 /
+# vram_weights 24.30` it had printed at 49,152, opening the bigger pool with `0 B used`;
+# the campaign rig (bf16, same step) moved `vram_kv 269.99 -> 271.25 MiB`, a rounding
+# step — its window is fixed by its own n-gram table (95.37 GiB) and expert plane, not
+# by this pool, so the refused calibration documents were fixed by cutting them to the
+# window (scripts/rechunk-kld-corpus.py), not by widening the pool.
 FRANK_ARCHON_HOST_POOL_MIB=49152
 # VRAM left unclaimed per card (publisher default 96 MiB); the engine's settle
 # floor is built from it.
@@ -137,7 +144,8 @@ FRANK_ARCHON_NGRAM_PLACEMENT=ram
 # itself before refusing by name, so recovery is a boot, not a visit.
 # Floor = 2 x HOST_POOL + 48,824 (static weights + arena) + PREFIX_CACHE + MNBT + the
 # auto checkpoint store (MAX_SEQS x 10 slots of 111.98 MiB), per the bats ledger test;
-# at the 49,152 pool with 4 slots that computes to 161,848 MiB.
+# at the 49,152 pool with 4 slots that computes to 161,848 MiB (196,664 at the
+# 66,560 pool the 2026-10-29 A/B rejected).
 FRANK_ARCHON_TTM_MIN_MIB=162000
 FRANK_ARCHON_TTM_TARGET_MIB=204800
 # Escape hatch for experiments. Unset -> no extra argv; the serve script expands

scripts/frank-dragoon.env

@@ -10,8 +10,11 @@
 # The .hgn format is the lock: it loads ONLY in the flash-server line, so the
 # engine moves with the payload, never ahead of it.
 # Image digest-pinned (a tag pull silently re-points; the digest is what was
-# qualified — 0.16.2 is the version the model card names as its quickstart pin).
-FRANK_DRAGOON_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:0c61bf84ac22308a53f5d1ca6b86806702d7039e5ebc51cae4c66621b92fe04a
+# qualified). 0.18.20 since 2026-10-30 (was 0.16.2, the model card's quickstart
+# pin) — the vendor has moved two minor versions and the payload lock is what
+# the deploy's health gate plus the boot ledger decide; rollback is the
+# previous digest, 0c61bf84…, on this same line.
+FRANK_DRAGOON_IMAGE=ghcr.io/peonist-ai/halogen-flash-server@sha256:e35133b206da3094cc4d70c78800b26235bd9124b9aeb0e029d4a7c153b9cff0
 # Container identity kept from the 27B era: the unit's ExecStop names it.
 FRANK_DRAGOON_CONTAINER=frank-dragoon-halogen
 # Predecessor identity the serve script clears if it is still holding the GPUs.
@@ -49,14 +52,21 @@ FRANK_DRAGOON_TOKENIZER_FILES="tokenizer.json chat_template.jinja tokenizer_conf
 # stays at the image default, which is what was qualified) ------------------
 # Served id. OpenWebUI api_configs model_ids for the :7770 backend MUST name it.
 HALOGEN_MODEL_ID=frank-dragoon
-# PER-REQUEST ceiling: a longer prompt is a 400 naming the limit, never a
-# truncation. The harness window must sit ~45k UNDER this (the 400-zone law on
-# the page) — a window equal to the ceiling makes every long request a 400.
-HALOGEN_CTX=200704
-# ONE pool behind both slots, sized so BOTH can carry a maximum-length request
-# at once. Pool positions buy concurrency; the per-request window never moves
-# with them. Legal band: ctx <= pool <= slots * ctx (the seam enforces it), and
-# RAM the pool takes is RAM the n-gram table's page cache loses.
+# PER-REQUEST ceiling, set to the checkpoint's NATIVE window (262,144 — a
+# longer prompt is a 400 naming the limit, never a truncation; stretching
+# past native would need HALOGEN_ROPE_YARN and is not on plan). The harness
+# `contextWindow` must sit ~45k under THIS number (the 400-zone law on the
+# page): with the window at 200,000 the gap is 62,144, which absorbs the
+# chars/4 under-count. A window at or near the ceiling makes every long
+# request a guaranteed 400.
+HALOGEN_CTX=262144
+# ONE pool behind both slots. The harness window is 200,000, so 401,408
+# still carries TWO maximum harness-length conversations at once
+# (2 x 200,000 + one 45,056 budget <= pool + cap headroom); two literal
+# ceiling-length requests would queue instead — buying those means raising
+# the pool, and RAM the pool takes is RAM the n-gram table's page cache
+# loses. Pool positions buy concurrency; the per-request window never moves
+# with them. Legal band: ctx <= pool <= slots * ctx (the seam enforces it).
 HALOGEN_KV_POOL_POSITIONS=401408
 # Two concurrent conversations: the MTP drafter is not slot-locked on this
 # engine, so the second slot is capacity, not a speculation tax.
@@ -107,10 +117,13 @@ HALOGEN_NPU_MODELS=qwen3-embedding-0.6b
 FRANK_DRAGOON_NPU_DIR=/home/dank/models/halogen-v2-abliterated/npu
 # Node paths and the XRT directory are variables so the bats seam can drive
 # these gates on a box with no NPU. Ubuntu's distro XRT (libxrt2 + libxrt-npu2)
-# is mounted FILE BY FILE and TWICE EACH — once where the image looks for XRT,
-# once at its own path, because those libraries find each other at their install
-# path; the vendor forbids mounting an /opt/xilinx/xrt of symlinks into the
-# system dir, which dangle inside the container.
+# is mounted FILE BY FILE and THREE TIMES EACH — where the image looks for XRT
+# (/opt/xilinx/xrt/lib), at its own path (those libraries find each other at
+# their install path), and at /opt/xilinx/lib/<multiarch>/ (the NPU child
+# searches that third prefix; without it the lane dies naming it and the
+# supervisor takes the container down — 2026-10-21 boot loop). The basename of
+# this directory IS the multiarch name. The vendor forbids mounting an
+# /opt/xilinx/xrt of symlinks into the system dir, which dangle in the container.
 FRANK_DRAGOON_DEV_ACCEL=/dev/accel/accel0
 FRANK_DRAGOON_XRT_DIR=/usr/lib/x86_64-linux-gnu
 # sysfs root the fabric-clock preflight reads (same knob the vendor's

scripts/frank-dragoon.service

@@ -1,5 +1,5 @@
 [Unit]
-Description=halogen-flash-server container (Quat3rnion NATIVE v2 abliterated Qwen3.8-Flash-Next, MTP spec decode, 2 slots over ONE 401408-position pool at ctx 200704, vision ON), root systemd unit (dankclaw, frank-dragoon, Strix Halo iGPU)
+Description=halogen-flash-server container (Quat3rnion NATIVE v2 abliterated Qwen3.8-Flash-Next, MTP spec decode, 2 slots over ONE 401408-position pool at ctx 262144, vision ON), root systemd unit (dankclaw, frank-dragoon, Strix Halo iGPU)
 After=network-online.target
 Wants=network-online.target
 

scripts/frank-zealot.env

@@ -1,12 +1,12 @@
-# frank-zealot — llama.cpp (PrismML fork build 10777, CUDA) on the RTX 3090,
-# :7771. Payload: Ternary-Bonsai-2-9B PQ2_0 with the MTP head in the file, plus
+# frank-zealot — llama.cpp (PrismML fork build 12118 = 0.7.0-dev, commit
+# 024474448, CUDA) on the RTX 3090, :7771. Payload: Ternary-Bonsai-2-9B PQ2_0 with the MTP head in the file, plus
 # the refusal-direction adapter applied at load.
 #
 # ONE OWNER: shape, payload identity, eras, laws and every measured number
 # live in serverAppConfigs-docs/LLM/frank-zealot.md. This file carries the
 # knobs and only the reason a reader editing THIS line cannot recover
 # elsewhere. Where the two disagree, this file wins on values.
-LLAMA_BIN=/home/dank/GitPackages/llama-prism-b10777/llama-server
+LLAMA_BIN=/home/dank/GitPackages/llama-prism-0244744/bin/llama-server
 # The fork is a LOCK, not a preference: custom tensor type 142 + prism.hadamard.*
 # metadata. Stock llama.cpp refuses the file; a loader ignoring the Hadamard
 # metadata dequantizes wrong, silently.
@@ -64,7 +64,8 @@ CACHE_TYPE_V=q8_0
 # weights, so there is no --spec-draft-model. Its bill is pool × 4,096 B of
 # draft KV plus ~0.45 GiB of buffers and a tripled recurrent state — paid for
 # by CACHE_TYPE_V=q8_0 and UBATCH_SIZE=1024 above. Build gate: quantized V
-# beside MTP needs fork build >= b10776; LLAMA_BIN is 10777.
+# beside MTP needs fork build >= b10776; LLAMA_BIN is 12118 (b10777 is kept on
+# disk as the rollback path).
 # SPEC_TYPE=none is the rollback and strips the WHOLE set (--spec-type and
 # every --spec-draft-*); half a set has segfaulted at load.
 SPEC_TYPE=draft-mtp

scripts/gpu-exporter.py

@@ -32,6 +32,7 @@ import glob
 import os
 import subprocess
 import sys
+import threading
 from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
 
 FAMILIES = [
@@ -198,6 +199,11 @@ def main(argv):
             return 2
         servers.append(ThreadingHTTPServer((b, args.port), Handler))
     sys.stderr.write("gpu-exporter serving :%d on %s\n" % (args.port, ",".join(binds)))
+    # EVERY socket must be served: a listen()ed-but-never-accept()ed bind looks
+    # healthy in `ss` yet times out every scrape once its SYN backlog fills —
+    # and the loopback deploy gate cannot see it. One thread per extra bind.
+    for s in servers[1:]:
+        threading.Thread(target=s.serve_forever, daemon=True).start()
     servers[0].serve_forever()
     return 0
 

scripts/grams-to-imatrix.py

@@ -0,0 +1,418 @@
+#!/usr/bin/env python3
+"""grams-to-imatrix.py — the engine's own calibration recording, re-voiced as a
+llama.cpp importance matrix for `rad-convert --imatrix F`. RUNS ON DANKSERVER
+beside the recording. Python 3 stdlib only: numpy must NOT be required, because
+this runs in the plain container next to a 335 GiB checkpoint, not in a venv.
+
+WHY. `rad-convert` takes its per-column activation second moments and its
+expert-popularity profile from ONE input, an imatrix (core/format/imatrix.h).
+Only the GGUF form carries a per-expert dimension — with the legacy flat form,
+or with none, every expert in a layer is weighted by the layer's aggregate,
+which is exactly the wrong thing on a 512-expert MoE. The calibration tap has
+already measured everything; this tool only re-voices it, so the imatrix and the
+protected-expert census (derive-protected-experts.py) are the SAME recording:
+one measurement, two consumers, neither able to disagree about which experts are
+hot.
+
+INPUT. RADGRAM2 files in a RADIANCE_CALIB_DIR output directory
+(arch/common/rad_arch.h, calib_write). Header law, same parse as
+scripts/derive-protected-experts.py — 32 bytes, `<8sIIQI`: magic `RADGRAM2`,
+u32 k, u32 rank, u64 rows, u32 domain, a pad word, then k*k f32 row-major. Two
+kinds of name, both GGUF-style, both with the checkpoint's GLOBAL expert
+numbering (rad_block_moe_fp8.h: ge = expert_base + e):
+
+    gram.r<rank>.blk.L.ffn_down_exps.bin        the layer's pooled gram
+    gram.r<rank>.blk.L.ffn_down_exps.<e>.bin    expert e's own gram
+
+`rows` is that file's routing/token count and the matrix is Σ x xᵀ over those
+rows, so **the diagonal is exactly the per-column activation second moment an
+imatrix wants**, and `rows` is the count the reader hands back from `count()`.
+Every off-diagonal term is dropped on purpose: the GGUF format has nowhere to
+put a full matrix, and the quantiser asks for columns.
+
+OUTPUT, per layer L (core/format/imatrix.h: names WITHOUT `.weight`, a MoE
+layer's experts folded into ONE entry, so expert 9 is slice 9 of
+`blk.L.ffn_down_exps`):
+
+  blk.L.ffn_down_exps    in_sum2 [k, n_expert] expert-major, counts [1, n_expert]
+  blk.L.ffn_gate_up_exps the SAME matrices at the SAME offsets. A routed expert's
+                         gate_up input is the same hidden-state rows as its down
+                         input, so the second moment over them is identical and
+                         so is the routing count. Two tensor infos over one
+                         payload: the reader maps each half independently
+                         (imatrix.cpp joins `<base>.in_sum2` with `<base>.counts`
+                         by base name), and copying ~200 MB to state one fact
+                         twice buys no correctness.
+  blk.L.ssm_inz          [k] and [1], from the pooled gram: that row's input is
+                         the same hidden state, so its columns take the pooled
+                         diagonal and its count is the layer's pooled rows.
+
+  Then STOP. Nothing whose input width is not the gram's k — no ssm_out, no
+  attn_output, no mtp.*, no ple_ngram. importance_for() answers false when the
+  entry's cols do not equal the weight's width and the convert proceeds without
+  it: an entry the reader silently ignores is a lie in the artifact, worse than
+  an absent one. The corollary to check before trusting the two hidden-width
+  entries: the tap writes the gate_up gram at g.n_embd and the down gram at the
+  expert width, so the gram's k must equal the checkpoint's hidden width (its
+  config.json). Where they differ, gate_up/ssm_inz are inert, not wrong.
+
+INHERITANCE. An expert with no own gram carries the layer's POOLED diagonal, and
+its count stays its own routing rows — the rule the engine itself applies when it
+picks a Hessian (libquant/lq_hess.h, calib_resolve: an expert's own gram only
+once its rank files hold kOwnRowsPerK * K rows; below that a fit to so few rows
+is worse than round-to-nearest, and those experts carry a fraction of a percent
+of the routing). The count never inherits: popularity is `count`'s job. The count
+of inherited experts is reported on stderr.
+
+RANK FOLDING. TP=2 writes gram.r0.* and gram.r1.* with GLOBAL expert numbering,
+so the ranks describe DISJOINT experts and the fold is a UNION into the one
+[k, n_expert] entry. A pooled gram is the opposite case: every rank summed the
+same stem over its own rows, so the fold is a SUM, rows included (calib_sum,
+calib_rows). The same global expert in two per-expert files is legal only when
+the numbers agree exactly; otherwise the recording is corrupt and the entry would
+be whichever file sorted last, so refuse.
+
+GGUF v3 (the only version imatrix.cpp accepts — version != 3 is a refusal):
+`general.alignment` u32, `imatrix.chunk_size` u32, `imatrix.chunk_count` u32,
+`imatrix.datasets` array of strings; tensors f32 (ggml type 0) with offsets
+relative to the aligned data section. Every tensor offset is padded up to
+`general.alignment` and the data section itself starts aligned. That is the
+classic hand-rolled-writer bug: an unaligned offset makes the reader's extent
+arithmetic point into the middle of the previous tensor's floats, and it reads
+them without complaint.
+
+chunk_count DERIVATION. The corpus row count is the LARGEST single-layer pooled
+row total, not a sum over layers: every layer's tap accumulated over the whole
+corpus, so adding the layers counts each token once per layer and inflates the
+figure by the layer count. chunk_count = that row total // chunk_size, the
+"chunks of chunk_size" line imatrix.cpp prints for itself.
+
+REFUSALS, each exit 2 with a message naming what is missing:
+  NO_GRAMS         the directory holds no RADGRAM2 down-projection gram
+  NOT_RADGRAM2     a gram whose magic is not RADGRAM2
+  SHORT            a gram whose length is not 32 + k*k*4
+  NO_POOLED        a layer with expert grams and no pooled gram to inherit from
+  K_MISMATCH       a layer whose files disagree about k (rank pooled grams, or an
+                   expert gram against its layer's pooled gram)
+  EXPERT_CONFLICT  a global expert recorded twice with different numbers
+  EXISTS           the -o path already holds a file (the trash law: move it)
+  CHUNK_COUNT      the derived chunk count does not fit the u32 metadata field
+
+USAGE. grams-to-imatrix.py <calib-dir> -o <out.gguf>
+       [--datasets NAME,...] [--chunk-size N] [--min-rows N] [-v]
+"""
+import argparse
+import os
+import re
+import struct
+import sys
+
+MAGIC = b"RADGRAM2"
+HDR = 32                       # 8s I I Q I + pad, rad_arch.h
+KOWN_ROWS_PER_K = 4            # libquant/lq_hess.h kOwnRowsPerK
+ALIGNMENT = 32                 # general.alignment, and the pad unit
+
+POOLED_RE = re.compile(r"^gram\.r(\d+)\.blk\.(\d+)\.ffn_down_exps\.bin$")
+EXPERT_RE = re.compile(r"^gram\.r(\d+)\.blk\.(\d+)\.ffn_down_exps\.(\d+)\.bin$")
+
+GT_U32, GT_STR, GT_ARR = 4, 8, 9
+GGML_F32 = 0
+
+
+def refuse(msg):
+    sys.stderr.write("REFUSED %s\n" % msg)
+    sys.exit(2)
+
+
+def read_gram(path):
+    """(k, rank, rows, domain, diagonal) from one RADGRAM2 file."""
+    try:
+        with open(path, "rb") as f:
+            raw = f.read()
+    except OSError as e:
+        refuse("UNREADABLE %s: %s" % (path, e))
+    if len(raw) < HDR:
+        refuse("SHORT %s: %d bytes, under the %d-byte RADGRAM2 header"
+               % (path, len(raw), HDR))
+    magic, k, rank, rows, domain = struct.unpack_from("<8sIIQI", raw, 0)
+    if magic != MAGIC:
+        refuse("NOT_RADGRAM2 %s: magic %r, expected b'RADGRAM2'" % (path, magic))
+    if k <= 0:
+        refuse("SHORT %s: header claims k=%d, which describes no matrix" % (path, k))
+    need = HDR + k * k * 4
+    if len(raw) != need:
+        refuse("SHORT %s: %d bytes, expected %d (32 + k*k*4 for k=%d)"
+               % (path, len(raw), need, k))
+    # The diagonal only, read by stride out of the row-major matrix.
+    diag = [struct.unpack_from("<f", raw, HDR + (i * k + i) * 4)[0]
+            for i in range(k)]
+    return k, rank, rows, domain, diag
+
+
+def load_dir(d, verbose):
+    """{layer: {"pooled": gram|None, "experts": {global e: gram}}} + rotated count.
+
+    Files outside the ffn_down_exps stem are not ours to fold: the tap names a
+    pooled gram after every projection it taps, and those carry other widths."""
+    if not os.path.isdir(d):
+        refuse("NO_GRAMS %s: not a directory" % d)
+    layers, rotated = {}, 0
+    for name in sorted(os.listdir(d)):
+        m = POOLED_RE.match(name) or EXPERT_RE.match(name)
+        if not m:
+            continue
+        path = os.path.join(d, name)
+        if not os.path.isfile(path):
+            continue
+        pooled = bool(POOLED_RE.match(name))
+        layer = int(m.group(2))
+        k, rank, rows, domain, diag = read_gram(path)
+        if domain != 0:
+            rotated += 1
+        L = layers.setdefault(layer, {"pooled": None, "experts": {}})
+        if pooled:
+            P = L["pooled"]
+            if P is None:
+                L["pooled"] = {"k": k, "rows": rows, "diag": diag, "paths": [path]}
+            elif P["k"] != k:
+                refuse("K_MISMATCH layer %d: pooled grams %s (k=%d) and %s (k=%d)"
+                       " disagree about the width"
+                       % (layer, P["paths"][0], P["k"], path, k))
+            else:
+                # calib_sum: each rank summed the same stem over its own rows.
+                P["rows"] += rows
+                P["paths"].append(path)
+                for i in range(k):
+                    P["diag"][i] += diag[i]
+            if verbose:
+                sys.stderr.write("pooled layer %d: %s k=%d rows=%d\n"
+                                 % (layer, name, k, rows))
+            continue
+        e = int(m.group(3))
+        own = L["experts"].get(e)
+        if own is None:
+            L["experts"][e] = {"k": k, "rows": rows, "diag": diag,
+                               "path": path, "ranks": [rank]}
+            if verbose:
+                sys.stderr.write("expert layer %d r%d e%d: rows=%d\n"
+                                 % (layer, rank, e, rows))
+            continue
+        if own["rows"] != rows or own["diag"] != diag:
+            refuse("EXPERT_CONFLICT layer %d expert %d: %s (rows=%d) and %s"
+                   " (rows=%d) record the same global expert with different"
+                   " numbers" % (layer, e, own["path"], own["rows"], path, rows))
+        own["ranks"].append(rank)
+        sys.stderr.write("note: layer %d expert %d recorded identically by rank %s"
+                         " and %s; folded once\n"
+                         % (layer, e, own["path"], name))
+    if not layers:
+        refuse("NO_GRAMS %s: no RADGRAM2 gram.r<rank>.blk.<L>.ffn_down_exps"
+               "[.<expert>].bin files in the directory" % d)
+    return layers, rotated
+
+
+def build_entries(layers, min_rows, verbose):
+    """([ (name, dims, payload|None, key) ], census, layers emitted)."""
+    entries = []
+    census = {"inherited": 0, "experts": 0, "routing": 0, "rows": 0, "layers": 0}
+    for layer in sorted(layers):
+        P, E = layers[layer]["pooled"], layers[layer]["experts"]
+        if E and P is None:
+            refuse("NO_POOLED layer %d: %d expert gram(s) but no pooled gram (an"
+                   " expected gram.r<rank>.blk.%d.ffn_down_exps.bin), so an expert"
+                   " under the row threshold would have nothing to inherit"
+                   % (layer, len(E), layer))
+        if P is None:
+            continue
+        k = P["k"]
+        census["layers"] += 1
+        census["rows"] = max(census["rows"], P["rows"])
+        dn = "blk.%d.ffn_down_exps" % layer
+        # A staging key names ONE payload. A gate_up entry reuses the down
+        # layer's bytes by carrying the same key with no payload of its own;
+        # in_sum2 and counts are different bytes and must never share a key.
+        ksum, kcnt = (layer, "sum2"), (layer, "counts")
+        kpgm, kpcnt = (layer, "pooled_sum2"), (layer, "pooled_counts")
+        # One entry holds one width: an expert gram recorded at another k would
+        # inherit (or be inherited by) a diagonal of the wrong length, and the
+        # reader would then answer `cols` from whichever file set dims[0].
+        for e in sorted(E):
+            if E[e]["k"] != k:
+                refuse("K_MISMATCH layer %d expert %d: %s holds k=%d and this"
+                       " layer's pooled gram is k=%d" % (layer, e, E[e]["path"],
+                                                          E[e]["k"], k))
+
+        if not E:
+            # No per-expert recording for this layer: emit the dense form
+            # ([k], [1]) rather than 512 identical slices, which would claim a
+            # per-expert measurement that was never taken.
+            entries.append((dn + ".in_sum2", [k],
+                            struct.pack("<%df" % k, *P["diag"]), ksum))
+            entries.append((dn + ".counts", [1],
+                            struct.pack("<f", float(P["rows"])), kcnt))
+            sys.stderr.write("note: layer %d has no per-expert grams; %s is"
+                             " dense over the pooled gram\n" % (layer, dn))
+        else:
+            floor = min_rows if min_rows > 0 else KOWN_ROWS_PER_K * k
+            n_expert = max(E) + 1
+            sum2, counts = bytearray(), bytearray()
+            for e in range(n_expert):
+                own = E.get(e)
+                if own is not None and own["rows"] >= floor:
+                    src = own["diag"]
+                    rows = own["rows"]
+                else:
+                    src = P["diag"]
+                    rows = own["rows"] if own is not None else 0
+                    census["inherited"] += 1
+                sum2 += struct.pack("<%df" % k, *src)
+                counts += struct.pack("<f", float(rows))
+                census["experts"] += 1
+                census["routing"] += rows
+            if min(E) != 0:
+                sys.stderr.write("note: layer %d has no gram for experts 0..%d;"
+                                 " those slices carry the pooled gram at count 0\n"
+                                 % (layer, min(E) - 1))
+            entries.append((dn + ".in_sum2", [k, n_expert], bytes(sum2), ksum))
+            entries.append((dn + ".counts", [1, n_expert], bytes(counts), kcnt))
+            gu = "blk.%d.ffn_gate_up_exps" % layer
+            entries.append((gu + ".in_sum2", [k, n_expert], None, ksum))
+            entries.append((gu + ".counts", [1, n_expert], None, kcnt))
+            if verbose:
+                sys.stderr.write("layer %d: k=%d n_expert=%d pooled_rows=%d"
+                                 " own-gram floor=%d\n"
+                                 % (layer, k, n_expert, P["rows"], floor))
+
+        inz = "blk.%d.ssm_inz" % layer
+        entries.append((inz + ".in_sum2", [k],
+                        struct.pack("<%df" % k, *P["diag"]), kpgm))
+        entries.append((inz + ".counts", [1],
+                        struct.pack("<f", float(P["rows"])), kpcnt))
+    return entries, census
+
+
+def enc_str(v):
+    b = v.encode("utf-8")
+    return struct.pack("<Q", len(b)) + b
+
+
+def write_gguf(path, entries, datasets, chunk_size, chunk_count):
+    """Write GGUF v3 and return its size in bytes.
+
+    One payload per key: entries that share a key share the bytes and the
+    offset, so a second tensor info states the same fact without copying it."""
+    kv = bytearray()
+    kv += enc_str("general.alignment") + struct.pack("<I", GT_U32) \
+        + struct.pack("<I", ALIGNMENT)
+    kv += enc_str("imatrix.chunk_size") + struct.pack("<I", GT_U32) \
+        + struct.pack("<I", chunk_size)
+    kv += enc_str("imatrix.chunk_count") + struct.pack("<I", GT_U32) \
+        + struct.pack("<I", chunk_count)
+    kv += enc_str("imatrix.datasets") + struct.pack("<I", GT_ARR) \
+        + struct.pack("<I", GT_STR) + struct.pack("<Q", len(datasets))
+    for d in datasets:
+        kv += enc_str(d)
+
+    head = bytearray()
+    head += b"GGUF" + struct.pack("<I", 3)
+    head += struct.pack("<Q", len(entries)) + struct.pack("<Q", 4)
+    head += kv
+
+    payloads = {}
+    for name, _dims, payload, key in entries:
+        if payload is None:
+            continue
+        prev = payloads.get(key)
+        if prev is not None and prev != payload:
+            # Two different payloads on one key would ship whichever was
+            # appended last while BOTH tensor infos pointed at it: the counts
+            # payload landing over the in_sum2 payload is exactly how a
+            # hand-rolled GGUF writer loses half its data without an error.
+            refuse("INTERNAL %s: two different payloads share one staging key"
+                   % name)
+        payloads.setdefault(key, payload)
+    infos = bytearray()
+    offsets, order, size = {}, [], 0
+    for name, dims, payload, key in entries:
+        if key not in payloads:
+            refuse("INTERNAL %s: no payload staged for its key" % name)
+        if key not in offsets:
+            offsets[key] = (size + ALIGNMENT - 1) // ALIGNMENT * ALIGNMENT
+            size = offsets[key] + len(payloads[key])
+            order.append(key)
+        infos += enc_str(name) + struct.pack("<I", len(dims))
+        for d in dims:
+            infos += struct.pack("<Q", d)
+        infos += struct.pack("<I", GGML_F32) + struct.pack("<Q", offsets[key])
+
+    body = bytes(head) + bytes(infos)
+    data_start = (len(body) + ALIGNMENT - 1) // ALIGNMENT * ALIGNMENT
+    with open(path, "wb") as f:
+        f.write(body)
+        f.write(b"\0" * (data_start - len(body)))
+        # The offsets in the tensor infos are the file's law, not a hint: each
+        # payload must land at its own padded offset. Writing them back to back
+        # instead leaves every reader that trusts the info — imatrix.cpp does —
+        # reading its neighbour's floats: plausible values, no error, wrong
+        # quantisation.
+        here = data_start
+        for key in order:
+            f.write(b"\0" * (data_start + offsets[key] - here))
+            f.write(payloads[key])
+            here = data_start + offsets[key] + len(payloads[key])
+        return f.tell()
+
+
+def main():
+    ap = argparse.ArgumentParser(
+        description="Fold a radiance calibration recording into a GGUF v3 imatrix.")
+    ap.add_argument("calib_dir")
+    ap.add_argument("-o", "--out", required=True)
+    ap.add_argument("--datasets", default="",
+                    help="comma-separated names for imatrix.datasets")
+    ap.add_argument("--chunk-size", type=int, default=4096,
+                    help="rows per chunk for imatrix.chunk_size (default 4096)")
+    ap.add_argument("--min-rows", type=int, default=0,
+                    help="own-gram row threshold (default 4*k, the engine's"
+                         " kOwnRowsPerK law)")
+    ap.add_argument("-v", "--verbose", action="store_true")
+    a = ap.parse_args()
+
+    if os.path.exists(a.out):
+        # The repo's deletion law: an artifact that exists is moved to trash by
+        # a human, never silently overwritten by a re-run of the tool that made
+        # it, so a second convert cannot destroy the imatrix the first one fed.
+        refuse("EXISTS %s: an imatrix is already there; move it to"
+               " .AGENTTRASH/ or name another -o" % a.out)
+    if a.chunk_size <= 0:
+        refuse("BAD_CHUNK_SIZE --chunk-size %d is not positive" % a.chunk_size)
+    layers, rotated = load_dir(a.calib_dir, a.verbose)
+    entries, census = build_entries(layers, a.min_rows, a.verbose)
+    if not entries:
+        refuse("NO_GRAMS %s: no layer holds a pooled gram to fold" % a.calib_dir)
+    if rotated:
+        sys.stderr.write("note: %d gram(s) recorded in a rotated domain: their"
+                         " diagonal is the rotated activation's second moment,"
+                         " not the model's own\n" % rotated)
+
+    chunk_count = census["rows"] // a.chunk_size
+    if chunk_count > 0xFFFFFFFF:
+        # imatrix.chunk_count is a u32 in the reader's grammar, so there is no
+        # legal way to record a bigger one. Reaching this means either a chunk
+        # size picked for a far larger run or a row total read out of the wrong
+        # header offset — rows is a u64 and a u32 parse is off by 2**32 — and
+        # the reader would trust whatever number landed in the field.
+        refuse("CHUNK_COUNT %d = %d rows // %d does not fit the u32"
+               " imatrix.chunk_count field; raise --chunk-size"
+               % (chunk_count, census["rows"], a.chunk_size))
+    nbytes = write_gguf(a.out, entries, [d for d in a.datasets.split(",") if d],
+                        a.chunk_size, chunk_count)
+    sys.stderr.write("IMATRIX_OK entries=%d layers=%d experts=%d inherited=%d"
+                     " rows=%d routing=%d chunks=%d/%d bytes=%d out=%s\n"
+                     % (len(entries), census["layers"], census["experts"],
+                        census["inherited"], census["rows"], census["routing"],
+                        chunk_count, a.chunk_size, nbytes, a.out))
+
+
+if __name__ == "__main__":
+    main()

scripts/jellyfin-providers.sh

@@ -0,0 +1,391 @@
+#!/usr/bin/env bash
+# Metadata-provider keys for Jellyfin on Dankserver, placed from the service's
+# host env file with the plugin artifact pinned by content hash.
+#
+# Jellyfin 12 ships TMDb, OMDb, StudioImages and MusicBrainz as CORE plugins:
+# they have no DLL, only a configuration file under the data root, and that
+# file is created by the running container. So the fleet's provider state lives
+# in two places the repo does not track —
+#
+#   plugins/configurations/Jellyfin.Plugin.Tmdb.xml   <TmdbApiKey /> (empty = keyless)
+#   plugins/configurations/Jellyfin.Plugin.Tvdb.xml   <ApiKey />     (needs the plugin)
+#
+# and both are owned by the container user. This tool is the only thing that
+# writes them: it is declarative, idempotent, and it never prints a key, so it
+# is safe to run while someone watches.
+#
+# Keys never enter git and never enter argv (a value in argv is world-readable
+# through /proc/<pid>/cmdline). They live in the per-service host env file that
+# is the fleet's convention for container credentials (grafana, caddy, pihole,
+# copyparty, romm, seerr), mode 600:
+#
+#   /home/dank/Containers/jellyfin/provider-keys
+#       TMDB_API_KEY=<key>
+#       TVDB_API_KEY=<key>
+#       TVDB_PIN=<pin>        # optional: only a subscriber-shaped TVDB key
+#                             # needs one; a licensed key does not
+#
+# TVDB itself is not core in 12 (the metadata provider was cut in 10.9), so it
+# is installed from the official catalog, pinned three ways: sha256 of the
+# artifact, the plugin's own guid, and its version. A matching sha proves only
+# that the bytes are the bytes fetched — the guid check is what says it is the
+# official plugin, the version check is what says it is the one this file was
+# reviewed against.
+#
+# Subcommands
+#   plan      print the resolved shape and every pending change, touch nothing
+#   install   fetch+verify the plugin, then write the keys (backing up first)
+#   verify    prove the plugin and both keys are actually in place
+#
+# Nothing here restarts Jellyfin: the deployer owns that
+# (`scripts/deploy.sh dankserver --service jellyfin`), and the plugin is read at
+# start-up, so a key written while the server runs is not live until then.
+set -euo pipefail
+
+# Jellyfin's data root on Dankserver (the rootless quadlet's config volume).
+JF_ROOT="${JF_ROOT:-/home/dank/Containers/jellyfin/config}"
+PROV_KEYS="${PROV_KEYS:-/home/dank/Containers/jellyfin/provider-keys}"
+TRASH_DIR="${TRASH_DIR:-$HOME/.AGENTTRASH/$(date +%Y%m%d)-jellyfin-providers}"
+
+PLUGINS="$JF_ROOT/plugins"
+CONF="$PLUGINS/configurations"
+TMDB_XML="$CONF/Jellyfin.Plugin.Tmdb.xml"
+TVDB_XML="$CONF/Jellyfin.Plugin.Tvdb.xml"
+
+# repo.jellyfin.org catalog entry for TheTVDB (owner: jellyfin), version 24.0.0.0,
+# targetAbi 12.0.0.0 — published 2026-09-09, verified against Jellyfin 12.4.0.
+TVDB_PLUGIN_URL="${TVDB_PLUGIN_URL:-https://repo.jellyfin.org/files/plugin/thetvdb/thetvdb_24.0.0.0.zip}"
+TVDB_PLUGIN_SHA256="${TVDB_PLUGIN_SHA256:-6302fba3857bdde8d186dd099fac09ca43247041f531a528a2c788add70a5319}"
+TVDB_PLUGIN_GUID="${TVDB_PLUGIN_GUID:-a677c0da-fac5-4cde-941a-7134223f14c8}"
+TVDB_PLUGIN_VERSION="${TVDB_PLUGIN_VERSION:-24.0.0.0}"
+PLUGIN_DIR="thetvdb_${TVDB_PLUGIN_VERSION}"
+TVDB_DLL="Jellyfin.Plugin.Tvdb.dll"
+
+die() {
+    printf 'jellyfin-providers: %s\n' "$*" >&2
+    exit 1
+}
+
+usage() {
+    printf 'usage: %s plan|install|verify\n' "$0" >&2
+    exit 2
+}
+
+# check_keys — refuse anything that is not a readable private file. An open
+# mode is an error, not a warning: a provider key readable by every user on the
+# box is the failure this check exists to catch.
+check_keys() {
+    [ -f "$PROV_KEYS" ] ||
+        die "$PROV_KEYS not found (create it with TMDB_API_KEY= and TVDB_API_KEY=, then chmod 600)"
+    local mode
+    mode="$(stat -c '%a' "$PROV_KEYS")"
+    case "$mode" in
+    600 | 400) ;;
+    *) die "$PROV_KEYS is mode $mode; provider keys must be 600" ;;
+    esac
+}
+
+# keys_value <VAR> — the value of one variable in the env file, or nothing.
+keys_value() {
+    awk -v k="$1" -F= '$1 == k { sub(/^[^=]*=/, ""); print; exit }' "$PROV_KEYS"
+}
+
+# keys_len <VAR> — the length, and a refusal naming the variable when absent.
+# The value itself is never printed.
+keys_len() {
+    local v
+    v="$(keys_value "$1")"
+    [ -n "$v" ] || die "$PROV_KEYS has no $1= line"
+    printf '%s' "${#v}"
+}
+
+# xml_value <file> <element> — the element's text, empty when it is absent or
+# self-closing.
+xml_value() {
+    python3 - "$1" "$2" <<'PYEOF'
+import re, sys
+src = open(sys.argv[1], encoding="utf-8").read()
+m = re.search(r"<%s(?:\s*/>|>(.*?)</%s>)" % (sys.argv[2], sys.argv[2]), src, re.S)
+print(m.group(1).strip() if (m and m.group(1)) else "")
+PYEOF
+}
+
+# xml_secret <file> <element> <var> — set <element> to that variable from the
+# env file. The python process reads the env file itself, so the value never
+# appears in argv.
+xml_secret() {
+    python3 - "$1" "$2" "$3" "$PROV_KEYS" <<'PYEOF'
+import os, re, sys, tempfile
+from xml.sax.saxutils import escape
+
+xml_path, elem, var, keys_path = sys.argv[1:5]
+val = ""
+for line in open(keys_path, encoding="utf-8"):
+    key, sep, rest = line.partition("=")
+    if sep and key.strip() == var:
+        val = rest.strip()
+        break
+if not val:
+    raise SystemExit(f"{keys_path} has no {var}= line")
+
+src = open(xml_path, encoding="utf-8").read()
+pat = re.compile(r"([ \t]*)<%s(?:\s*/>|>.*?</%s>)" % (elem, elem), re.S)
+text = escape(val)
+if pat.search(src):
+    out = pat.sub(lambda m: f"{m.group(1)}<{elem}>{text}</{elem}>", src, count=1)
+else:
+    out = src.replace("</Configuration>", f"  <{elem}>{text}</{elem}>\n</Configuration>", 1)
+if out == src:
+    raise SystemExit(f"{xml_path}: no place to write <{elem}>")
+
+d, base = os.path.split(xml_path)
+fd, tmp = tempfile.mkstemp(prefix=base + ".", dir=d)
+with os.fdopen(fd, "w", encoding="utf-8") as fh:
+    fh.write(out)
+os.chmod(tmp, os.stat(xml_path).st_mode & 0o777)
+os.replace(tmp, xml_path)
+PYEOF
+}
+
+# plugin_meta <zip> — "guid version" out of the artifact's own meta.json.
+plugin_meta() {
+    python3 - "$1" <<'PYEOF'
+import json, sys, zipfile
+meta = json.loads(zipfile.ZipFile(sys.argv[1]).read("meta.json").decode("utf-8"))
+print(meta.get("guid", ""), meta.get("version", ""))
+PYEOF
+}
+
+check_root() {
+    # Never fabricate a data root: creating plugins/ beside a typo'd path would
+    # install a plugin Jellyfin never loads and hide the operator's mistake.
+    [ -d "$CONF" ] || die "no Jellyfin configuration directory at $CONF (is JF_ROOT right?)"
+}
+
+check_keys_report() {
+    check_keys
+    # A refusal inside a command substitution used as a printf argument would
+    # be swallowed, so the guard runs as its own statement.
+    keys_len TMDB_API_KEY >/dev/null
+    keys_len TVDB_API_KEY >/dev/null
+    printf '= keys read from %s (mode %s)\n' "$PROV_KEYS" "$(stat -c '%a' "$PROV_KEYS")"
+}
+
+# The plugin's state, as one line in the shared vocabulary.
+plugin_state() {
+    if [ -d "$PLUGINS/$PLUGIN_DIR" ]; then
+        printf '= %s already installed\n' "$PLUGIN_DIR"
+        return 0
+    fi
+    local other
+    other="$(find "$PLUGINS" -maxdepth 1 -type d -name 'thetvdb_*' ! -name "$PLUGIN_DIR" -printf '%f\n' 2>/dev/null | sort | tr '\n' ' ')"
+    if [ -n "$other" ]; then
+        printf '+ install %s (a different version is present: %s)\n' "$PLUGIN_DIR" "$other"
+        return 0
+    fi
+    printf '+ install %s from %s\n' "$PLUGIN_DIR" "${TVDB_PLUGIN_URL#*://}"
+}
+
+tmdb_state() {
+    if [ ! -f "$TMDB_XML" ]; then
+        printf '! %s is missing — save the TMDb plugin settings once in the UI, then re-run\n' "$TMDB_XML" >&2
+        return 1
+    fi
+    local now want
+    now="$(xml_value "$TMDB_XML" TmdbApiKey)"
+    want="$(keys_value TMDB_API_KEY)"
+    if [ -n "$now" ] && [ "$now" = "$want" ]; then
+        printf '= TmdbApiKey already set (%s chars)\n' "${#now}"
+    elif [ -n "$now" ]; then
+        printf '+ replace the TmdbApiKey in Jellyfin.Plugin.Tmdb.xml\n'
+    else
+        printf '+ set TmdbApiKey in Jellyfin.Plugin.Tmdb.xml\n'
+    fi
+}
+
+tvdb_state() {
+    local now
+    if [ -f "$TVDB_XML" ]; then
+        now="$(xml_value "$TVDB_XML" ApiKey)"
+        if [ -n "$now" ]; then
+            printf '= Jellyfin.Plugin.Tvdb.xml already has an ApiKey (kept)\n'
+        else
+            printf '+ fill the empty ApiKey in Jellyfin.Plugin.Tvdb.xml\n'
+        fi
+    else
+        printf '+ create Jellyfin.Plugin.Tvdb.xml with ApiKey\n'
+    fi
+}
+
+write_plugin() {
+    local tmp guid version other
+    other="$(find "$PLUGINS" -maxdepth 1 -type d -name 'thetvdb_*' ! -name "$PLUGIN_DIR" -printf '%f\n' 2>/dev/null | sort | tr '\n' ' ')"
+    [ -z "$other" ] ||
+        die "another TheTVDB version is already installed ($other); move it to the trash first — two copies of one plugin means two loads"
+
+    tmp="$(mktemp "${TMPDIR:-/tmp}/thetvdb.XXXXXX.zip")"
+    # The pins are checked before anything is unpacked, so a bad artifact never
+    # reaches the plugins directory.
+    curl -fsSL --max-time 300 -o "$tmp" "$TVDB_PLUGIN_URL" ||
+        { rm -f "$tmp"; die "could not fetch $TVDB_PLUGIN_URL"; }
+    local got
+    got="$(sha256sum "$tmp" | cut -d' ' -f1)"
+    if [ "$got" != "$TVDB_PLUGIN_SHA256" ]; then
+        rm -f "$tmp"
+        die "artifact sha256 is $got, pinned $TVDB_PLUGIN_SHA256 — refusing to install"
+    fi
+    read -r guid version <<<"$(plugin_meta "$tmp")"
+    if [ "$guid" != "$TVDB_PLUGIN_GUID" ]; then
+        rm -f "$tmp"
+        die "artifact guid is $guid, expected the official $TVDB_PLUGIN_GUID — refusing to install"
+    fi
+    if [ "$version" != "$TVDB_PLUGIN_VERSION" ]; then
+        rm -f "$tmp"
+        die "artifact version is $version, pinned $TVDB_PLUGIN_VERSION — refusing to install"
+    fi
+    mkdir -p "$PLUGINS/$PLUGIN_DIR"
+    python3 -m zipfile -e "$tmp" "$PLUGINS/$PLUGIN_DIR/"
+    rm -f "$tmp"
+    [ -f "$PLUGINS/$PLUGIN_DIR/$TVDB_DLL" ] ||
+        die "$PLUGIN_DIR has no $TVDB_DLL — the artifact does not match this plugin"
+    printf '+ installed %s\n' "$PLUGIN_DIR"
+}
+
+backup_to_trash() {
+    local f="$1"
+    mkdir -p "$TRASH_DIR"
+    local dest="$TRASH_DIR/$(basename "$f").$(date +%H%M%S)"
+    cp -p "$f" "$dest"
+    printf '+ previous copy kept at %s\n' "$dest"
+}
+
+cmd_write_keys() {
+    local now want
+    KEYS_CHANGED=0
+    # TMDb: the running container owns this file and every setting in it. Only
+    # the key element is touched, so country, language and adult settings
+    # survive the edit.
+    [ -f "$TMDB_XML" ] ||
+        die "$TMDB_XML is missing — save the TMDb plugin settings once in the UI, then re-run"
+    now="$(xml_value "$TMDB_XML" TmdbApiKey)"
+    keys_len TMDB_API_KEY >/dev/null
+    want="$(keys_value TMDB_API_KEY)"
+    if [ "$now" = "$want" ]; then
+        printf '= TmdbApiKey already set (%s chars)\n' "${#now}"
+    else
+        backup_to_trash "$TMDB_XML"
+        xml_secret "$TMDB_XML" TmdbApiKey TMDB_API_KEY
+        printf '+ set TmdbApiKey (%s chars)\n' "${#want}"
+        KEYS_CHANGED=1
+    fi
+
+    # TVDB: never overwrite a config the operator saved through the UI.
+    if [ -f "$TVDB_XML" ]; then
+        now="$(xml_value "$TVDB_XML" ApiKey)"
+        if [ -n "$now" ]; then
+            printf '= Jellyfin.Plugin.Tvdb.xml already has an ApiKey (kept)\n'
+        else
+            keys_len TVDB_API_KEY >/dev/null
+            backup_to_trash "$TVDB_XML"
+            xml_secret "$TVDB_XML" ApiKey TVDB_API_KEY
+            if [ -n "$(keys_value TVDB_PIN)" ] && [ -z "$(xml_value "$TVDB_XML" Pin)" ]; then
+                xml_secret "$TVDB_XML" Pin TVDB_PIN
+            fi
+            printf '+ filled the ApiKey in Jellyfin.Plugin.Tvdb.xml\n'
+            KEYS_CHANGED=1
+        fi
+    else
+        keys_len TVDB_API_KEY >/dev/null
+        cat >"$TVDB_XML" <<XML
+<?xml version="1.0" encoding="utf-8"?>
+<Configuration xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
+  <ApiKey />
+</Configuration>
+XML
+        xml_secret "$TVDB_XML" ApiKey TVDB_API_KEY
+        if [ -n "$(keys_value TVDB_PIN)" ]; then
+            xml_secret "$TVDB_XML" Pin TVDB_PIN
+        fi
+        printf '+ created Jellyfin.Plugin.Tvdb.xml with ApiKey\n'
+        KEYS_CHANGED=1
+    fi
+}
+
+cmd_plan() {
+    check_root
+    check_keys_report
+    printf 'root  %s\n' "$JF_ROOT"
+    plugin_state
+    tmdb_state
+    tvdb_state
+}
+
+cmd_install() {
+    check_root
+    check_keys_report
+    KEYS_CHANGED=0
+    if [ ! -d "$PLUGINS/$PLUGIN_DIR" ]; then
+        write_plugin
+        KEYS_CHANGED=1
+    else
+        printf '= %s already installed\n' "$PLUGIN_DIR"
+    fi
+    cmd_write_keys
+    if [ "$KEYS_CHANGED" -eq 1 ]; then
+        # Nothing is restarted here on purpose: this host may be playing media
+        # right now, and both the plugin and its keys are read at start-up.
+        printf 'next: scripts/deploy.sh dankserver --service jellyfin (the plugin and keys load at start-up)\n'
+    else
+        printf '= no change\n'
+    fi
+}
+
+cmd_verify() {
+    check_root
+    local bad=0
+    if [ ! -d "$PLUGINS/$PLUGIN_DIR" ]; then
+        printf 'MISSING plugin directory %s (thetvdb not installed)\n' "$PLUGIN_DIR" >&2
+        bad=1
+    else
+        local dlls abi
+        dlls="$(find "$PLUGINS/$PLUGIN_DIR" -maxdepth 1 -name '*.dll' | wc -l)"
+        [ "$dlls" -ge 1 ] || {
+            printf 'MISSING %s inside %s\n' "$TVDB_DLL" "$PLUGIN_DIR" >&2
+            bad=1
+        }
+        abi="$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1])).get("targetAbi","?"))' \
+            "$PLUGINS/$PLUGIN_DIR/meta.json" 2>/dev/null || echo '?')"
+        printf 'plugin %s: %s dll(s), targetAbi %s\n' "$PLUGIN_DIR" "$dlls" "$abi"
+    fi
+    local pair elem n
+    for pair in "$TMDB_XML|TmdbApiKey" "$TVDB_XML|ApiKey"; do
+        elem="${pair##*|}"
+        if [ ! -f "${pair%%|*}" ]; then
+            printf 'MISSING %s\n' "${pair%%|*}" >&2
+            bad=1
+            continue
+        fi
+        if ! python3 -c 'import sys, xml.dom.minidom; xml.dom.minidom.parse(sys.argv[1])' "${pair%%|*}"; then
+            printf 'UNPARSEABLE %s\n' "${pair%%|*}" >&2
+            bad=1
+            continue
+        fi
+        n="$(xml_value "${pair%%|*}" "$elem")"
+        if [ -z "$n" ]; then
+            printf 'MISSING key: %s has no %s value\n' "$(basename "${pair%%|*}")" "$elem" >&2
+            bad=1
+        else
+            printf '%s %s chars\n' "$elem" "${#n}"
+        fi
+    done
+    [ "$bad" -eq 0 ] || return 1
+    printf 'providers configured\n'
+}
+
+cmd="${1:-}"
+case "$cmd" in
+plan) cmd_plan ;;
+install) cmd_install ;;
+verify) cmd_verify ;;
+*) usage ;;
+esac