ComfyUI-Manager wraps app.graphToPrompt and drops the graph, so every run and
the check before it compiled the canvas: same seeds, nothing of the later marks.
A result that is not the copy's is now made by ComfyUI's own method.
Going back is one of ComfyUI's undo steps, so Ctrl+Z returns to the state left
behind. A save can also open on a new tab, the empty canvas's menu and a + on
the bar keep one, and marks show as saves, runs counted as runs.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A Flash exam showed a light model can build a route it is told, so the reminder
no longer sends the user to a flagship model: the route is untried, see how the
run turns out, and save a card if it is good.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A node's "Mark this state" keeps the serialized canvas as a mark in a bar
under it. A mark's number goes back to that state, each has its runs, and
seeds are Random or Locked (one per round, shared by the marks; a fixed
seed alone would come from ComfyUI's cache). Run checks every mark with
validate_prompt first, then compiles detached copies with their seeds
written, so the canvas and its seeds stay as they are.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
With two main models picked, ask_user(routes=true) shows the routes this
ComfyUI can build for them, each with what it does to the picture and a
sample, a saved card using both first; the answer says what to call, and
add_nodes(route=...) builds the route from the ways on a new tab, the LoRAs
on each model. get_toolbox lists each model's cards as its examples. A way
counts as ready when a family variant has what it needs. An AI placing
nodes itself is a new route: one reminder a task, or with the new gate the
user's OK.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
add_nodes(use="picture") builds a text-to-image graph on the model the
user picked for the task, or add_nodes(model=...): one checkpoint for SDXL
and its kin; for Anima the UNET with its text encoder and VAE, found in
the model folders ("files"), and the tested base-pass sampling. A
standalone block is built only on a canvas making no picture yet.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Upscale held by Tile takes in the tile upscale, the Anima Tile detail
upscale and the second-model upscale: its redraw has its own copy of the
canvas's model line (copy_of "$sampler.model": loader and LoRAs, titled
"Upscale model"), so a second model is one set_model and the LoRAs stay;
on Anima it is the user's tested route (latent 1.22x, Tile LLLite,
denoise 0.85). The iterative upscale goes. add_nodes no longer lists every
block name, and the repaint hints name the use, not a block.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Three fixes from the user's use of the current-node panel:
- ⇄ Compare on a saved set listed the whole workflow's values. It now
compares that node alone: a copy of the node holding the set's values,
nothing wired, against the canvas, under the node's id so the two pair
(a set's workflow numbered otherwise, with two prompt nodes, paired
neither). compareParams takes `only` for this; the comparison window
takes `nodeId` and leaves out the structure badge. Every set can now be
compared; the unused "could not read the set's workflow" text is gone.
- The Change model picker drew cards of its own: full-size covers and
videos without a still, so most showed blank, and only file names. It
now shows the models page's card face (modelCardFace, split out of
ui_grid.js): the cover thumbnail, a video's still until pointed at, the
base badge, version, readable name and file name; "current" and the
chosen outline stay. Versions are not folded. Its type and base chips
and their texts are gone.
- In the generated-pictures gallery (current node, View all), once
scrolled, "Close gallery" opened the picture scrolled up under it:
Chrome's hit-testing again (lessons.md). Its scroll box and the
picker's card area get clip-path: inset(0).
Checked in an isolated ComfyUI: the prompt node's compare lists only its
text; the picker shows covers and names, selects, replaces; the models
page's cards keep their buttons and open the details; a 13-step scroll
of the gallery leaves every click on the close button. Full suite and
structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The skill staged_picture says how, not values: different models for a
picture's early and late steps (refine midway); a locked redraw while
enlarging, which keeps the model or switches in that same redraw to a
second model of the same family (upscale detail, anima tile, steady),
with no extra refine pass after it; model after model (refine). It says
which switches need one family (any reusing the first stage's prompts and
VAE; the single-file refine with its own loader may cross families, its
prompts rewritten), and that a style LoRA the user picked goes onto the
second model when the look is to be kept. The user's saved cards and
combos come first; nothing the user did not pick is added.
Written to the user's handoff (.tmp, three points). Code checks only, as
asked: no picture was made.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The left column is gone. The details are one column: the flow, a row of
tabs under it (the workflow's own values, each preset with how many
values it changes, + to save the canvas or copy the one shown, all
pictures and versions at the end; it stays in view while the panel
scrolls) and the tab chosen in a panel joined to it.
The flow is small and shows only the structure: the stages in the order
they run, then the finishing nodes and the saves; above them one lane
each for the model files, the LoRAs and the control models, each a bar
over the stages it feeds (recipe_flow.flowLanes, tested). Steps, splits
and strengths moved into the boxes' tooltips; the legend and the hint
line are gone. What the preset shown changes from the workflow's own is
orange, and its head says how many values that is. A box's values open
under the flow only once one is picked, with x to close.
The set rows' key-value chips went with the column; the tabs count the
differences with ui_param_set_keys.setDifferences. Remaining "方案"
labels in the preset menus now say 预设.
Checked on the isolated test ComfyUI with the two-pass Anima card: each
preset marks the right boxes, the inspector, the + menu and its editor,
all pictures, versions, sticky tabs, and the narrow (docked) layout.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A workflow card's details now begin with its flow, in the look of a
stage diagram: one box per sampler in the order they run (base picture,
goes on, enlarge and redraw), each with the main model it is fed
through LoRAs and patches (+ Tile for a Tile LLLite), its steps or the
part of a split it runs ("Not run" when none), the enlargement and the
redraw strength; then the saves. Under it the default and each preset;
the one shown is lit and the stages it changes are marked. The stages
are read from the saved graph alone (recipe_flow.js, pure, with
tests/recipe_flow.mjs); the drawing is ui_recipe_flow.js.
"参数方案" / parameter sets are now 预设 / presets everywhere on screen
(the term table in ui-flows.md lists the old word as retired). "Hand it
to the AI" moves from the bar to the preset's own actions and hands the
preset shown ("workflow / preset"), which run_workflow already applies.
Checked on an isolated ComfyUI with the verified two-pass Anima card:
the default, the "upscale on Realskin" and the "switch mid-way" presets
each mark the right stages and show their models and steps; the hand-off
sentence names the preset. Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A workflow card's saved parameter sets (方案) were the user's alone. Now
list_workflows lists each card's sets as "workflow / set" (those unlike
the card's own values, as the Workflows page lists them), and
run_workflow(workflow="workflow / set") opens the workflow and applies
the set with the page's own Apply code before filling in the blanks; the
tab is marked with the set too, so another set opens afresh. No new
argument: the tool list stays within its budget.
The Anima skill points at the sets: the daily run is the user's saved
workflow or one of its sets.
Checked on an isolated ComfyUI: a card built from the verified two-pass
Anima graph with its own values as the plain route and two sets (upscale
on another model, model switch mid-way); run_workflow on the second set
queued exactly its values and made pictures pixel-identical to that
route's verified ones. Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A skill now says how to judge and names the parts; models and values
live in the way and in the user's own combos and workflows. The Anima
skill drops the tested models, LoRA and sampler numbers (the
upscale_anima_tile way keeps its second-pass values), says to use a
workflow or combo the user saved for this route as it is, and keeps the
findings as judgment: show the base first, what Tile does and does not
keep, and when changing models between passes is untried.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
AMB only uses: training goes to its own plugin. This takes back the
record of what works (api/ai_evidence.py), the training network and
rounds (api/ai_training.py, ui_ai_network*.js, the round form), the
Gates' record switch, the ways' order by record and the external_skill
field of log_outside that only fed the record.
Kept, as part of using AMB:
- the user's word under a finished run, now only told to the AI
(ai_run_control.set_verdict, ui_ai_verdict.js);
- the Gates' "Custom nodes: only the ways'" rule;
- a picks block left to the AI takes its recommended picture.
Reverts 73518dc, 67bf5b2, 6647b05 and 49d05cf, then puts those three
back with tests in test_ai_run_watch, test_ai_gates and test_ai_panels.
Full suite and structure check pass.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The side switch's training network now opens over the whole AI
workbench: numbers on top, a filter by kind, a graph or a table with a
cell per pair, and a detail column listing each run of a pair (model,
AI app, judgement, pictures, task), a base model's models and the
training rounds. New GET /anomalous/ai_training/runs; the network data
adds each model's runs and the rounds.
Not yet verified in the browser: Esc after routing it through the
browser's back buttons. Full test run pending.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The AI goes by the ready-made ways and skills alone by default; the Gates
window's "training network record" shows it the record, and a training
round the user starts always does. add_nodes still picks the way that did
best either way. The network view says whether the AI sees it now.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The AI workbench's side column gets a training network view: base models
on the left, ways, skills and node packs on the right, a line for each
pair that ran, coloured by how it turned out (the user's word first, else
the AI's, dashed) and as thick as it ran often. A node or line shows its
record, last pictures and the pairs not tried yet in a card kept in sight.
"Start a training round" picks a skill (the AI's prompts with its advice
and without) or the ways of one use, up to four models and the pictures
each, and makes a task for the next AI (api/ai_training.py). Each run that
ends fills the trial it fits by what it used; the AI is told the next trial
and, once a model's trials are done, to compare them in a picks panel with
its own pick marked recommended. The record keeps the AI's pick apart from
the user's, and a picks block left to the AI takes its pick.
Tests: tests/test_ai_training.py; full suite and structure check pass.
Checked on an isolated ComfyUI: a round started from the view, four real
runs matched to their trials with the next one told each time, the
comparison panel and the user's pick reached the record and the graph.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each run the AI starts now counts for the ways it still has, the skills
fetched before it and the custom node packs of its nodes, by the base
model of its main model (api/ai_evidence.py). How it went comes from what
the user does anyway: a picture picked in a picks panel or kept in the
gallery, one passed over, or their word under the run (Turned out well /
Not quite, told to the AI as their message).
begin_task and get_toolbox give the AI the record in a few words, add_nodes
a way's or the packs' own, and add_nodes(use=...) picks the use's way that
did best on the canvas's model. The Ways panel shows each way's and skill's
record by model. The Gates window gets "Custom nodes: Any / Only the ways'",
which keeps the AI to the ways' nodes and the task's picks.
Tests: tests/test_ai_evidence.py; full suite and structure check pass.
Checked on an isolated ComfyUI: a real run was recorded with its model and
skill, the verdict reached the AI, and the ways-only rule refused a custom node.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ai_skills.get refuses a private-only skill in a task that is not private and every other
skill in a private one, so a private task's AI gets the privacy skill alone; get_toolbox
tells it by the task. The Ways panel lists the skills of the task's kind and is drawn
again when the task's lock is turned.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ai_sealed keeps a private task's prompt text and picture file names behind tokens ([P1],
[img1], task["sealed"]): mcp_server puts the texts back into a call's arguments for the tool
only, and ai_privacy.guard has every result masked on its way out (a node's STRING inputs
by ComfyUI's node list, prompt fields, picture names, any sealed text, also in the text
content). The user's own canvas changes are told sealed. A "prompts" panel block is the
user's prompt box (ui_ai_prompt_box.js): prompts, a negative one and reference pictures from
the gallery or dropped in, answered only from Anomalous, the AI getting tokens; above it the
prompt_pose skill's words for the canvas's model. A new private-only skill, privacy, tells
the AI how to work, and begin_task points a private task at it. Tests plant canary prompts
and picture names in every tool's result and check none gets out.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each task has a lock in its header (task["privacy"]); the Gates window sets the default for
new tasks, and turning the default off pins the tasks it covered. mcp_server hands every
tool result to ai_privacy.guard last, after run pictures and the user's messages were
added, so a private task's image content never leaves; a call tied to no task is private
while the default is on or a private task is unfinished. The card in the AI app shows no
pictures for it, begin_task tells the AI, and turning it on or off is a user step and a
decision. A test calls every tool with a picture in its result and checks none gets out.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Checked against the headers of 315 models in ComfyUI-Manager's list: a Hunyuan-DiT
checkpoint and LBM were read as VAEs, SUPIR as a ControlNet, XLabs' Flux LoRAs and
IP-Adapter as diffusion models, a whole CLIP as a text encoder only; also PhotoMaker, LoRAs
of weight differences or OFT, and checkpoints without a VAE. Files two loaders read from
different folders (SUPIR, a whole CLIP) are not sure. A lone drawing model in checkpoints
loads there (the checkpoint loader reads it as a diffusion model). Newly told: diffusers
UNets, Stable Cascade, SDXL T2I-Adapters, RCAN/SPAN/compact upscalers. 301 of 315 now agree.
"Looks like no drawing model" said what it could not tell: now "Kind not told". Kept header
answers carry the rules version and are read again when it changes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
An Anima LLLite in controlnet is not misplaced while the ComfyUI-Anima-LLLite pack
(which reads it from there) is loaded, and identical copies kept one per loader folder
(controlnet and model_patches) are listed as shared, both in use, not as duplicates to
recycle. An IP-Adapter carrying LoRA layers (the Anima IP-Adapter) is no longer read as a
LoRA. The header cache keeps the new "form" field (older entries are read again).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
prompts (1-8, instead of prompt; at most 16 tries with batch) fills and queues each prompt
in turn with the call's other blanks; the receipts form one run and by_prompt says which
are which. A prompt that cannot be filled or queued stops the rest, the queued ones stay
tracked and submission_error names where it stopped. The run_workflow description is
tightened so the tool list stays within its budget.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each skill the AI fetches with get_toolbox(skill=...) is a "skill" step of its task
(ai_skills.note_use), with the form its advice came in for the canvas's model; the same
advice again before the next run adds nothing. A run's row lists the skills fetched since
the run before it (ai_task_view.skillsBefore). A skill step never names an untitled task.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The prompt_pose skill now comes in the form for the model the canvas's sampler uses:
its drawing model's parameters are counted from the file's header (model_kind.
diffusion_params: safetensors shapes, GGUF tensor dims; a checkpoint's text encoders
and VAE left out), so a compressed GGUF counts like the full model. From 10 billion
(Flux.1, Flux.2, Qwen-Image) the AI is told hands and hard poses come out well and
not to hide or simplify; under it, the clear-pose and optional hand-hiding advice;
when the model cannot be told, both cases.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The pose and hands advice for writing prompts moves out of the set_prompt and
run_workflow descriptions into the first skill, prompt_pose (api/skills/). begin_task
lists the skills that are on in a line; get_toolbox(skill=...) gives one; the prompt
arguments only point at it. The tool list is back within its budget (it was 44726 of
44000 characters). The Ways panel lists the skills under the ways, each with a switch.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
1.5x left the Codex test picture's hand better but still soft; 2x gave
sharper fingers in the same seeds (about 105 s instead of 75 s on a 6 GB
card). The fix-hands way now enlarges to about 4.2 megapixels, never
smaller, at most 2x: reference_blocks.enlargement reads the picture's
size (add_nodes passes picture_size of its input copy). Tried through
AMB on an isolated ComfyUI: 2547x1656, no memory trouble, 2 clean hands
of 4.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A block (detail, want hands) that takes a picture: enlarged 1.5x and
redrawn lightly by the canvas's sampler (denoise 0.4), then every hand
found by hand_yolov8 redrawn at guide 768, denoise 0.45 ("detailed
hand"), saved as hands_fixed. Tried on the Codex test picture on an RTX
4050: the hand pass alone fixed about half the seeds, enlarging first
about 3 in 4; the way built through AMB on an isolated ComfyUI gave 2-3
good hands of 4.
On an Anima model a variant adds the Anima Turbo LoRA (0.7) for 10 steps
at CFG 1, about 75 s; a variant's LoRA missing falls back to the plain
block with a word on what it would do. Its next step tells the AI to
make 4 tries, check the hands itself, retry at most twice, and let the
user pick in a zoomed panel. The Turbo LoRA joins the recommended models.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
ui_gallery_viewer.js (8c044d0) imported formatSize from
ui_model_download.js, which leads through the settings page and
browser.js back to ui_ai_workbench.js; with ui_ai_images.js ->
ui_gallery_detail.js -> ui_gallery_viewer.js at the start of that chain,
ui_ai_workbench.js called setMarker before ui_ai_images.js had run, and
the whole plugin failed to load ("Cannot access 'marker' before
initialization"). formatSize now lives in file_size.js, which imports
nothing, and every module takes it from there.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
When a video's first frame could not be read (a broken file, no decoder)
the card's thumbnail route served the whole video as the picture. It now
gets the same SVG placeholder with its size as a picture with no card.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The run estimate followed each sampler's size but not what a SaveImage
finally gets: a 5120x3328 sample upscaled 4x saved 20480x13312 (324 MB)
without a word. A save past 64 megapixels now warns on the timeline and
in the AI's run answer, with the PNG size it will take.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A 20480x13312 upscale is past Pillow's pixel limit, so its card image
failed and the catch-all fallback served the 324 MB original as the
thumbnail: the gallery and the AI workbench decoded it every time.
- A picture past the limit is shrunk once by a child process
(huge_picture.py, low priority, one at a time) and cached; a card is
never a large original, one with no card image gets an SVG with its size.
- /anomalous/output_preview gives the viewers the picture or a cached
4096 px copy of a very large one; the viewer (moved to
ui_gallery_viewer.js), the image workbench's stage and the AI pages'
larger pictures use it, with a note and "Open the original".
- The listing carries each file's size (and big ones' pixel size); such a
card says "Very large".
- The browser-side PNG metadata read stops at the image data.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- tags_from_picture: WD14 tagger (the source's model and thresholds) on a
picture the user handed; run_status now carries what nodes showed as words
(texts: a tagger's tags), with a summary and next step for a run that made
words but no pictures.
- Optional nodes: a block node marked optional goes when its pack is missing,
and a link "match|decode" takes the first one there. The four upscales end in
KJNodes' ColorMatch (mkl, the source's) when it is installed; the panel says
"better with" it otherwise.
- LanPaint's next step keeps the prompt about the whole picture; Follow a pose
says OpenPose misreads anime (use control_depth), as the source's author did.
- The directory has a size cap: past it, block names alone, so collected ways
never make begin_task long; shorter headings and few-word lines.
Live-tested on the isolated 8199 ComfyUI: LanPaint (area changed 14.6, outside
0.0, 82 s), tiled 2x (167 s), depth ControlNet (follows the layout), OpenPose
(misreads an anime picture), background removal (8 s), tags (166 s with the
model download), upscale with ColorMatch (73 s).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each block is now api/blocks/<name>.json (nodes, packs, models, the AI's words
and the panel's in both languages), so a way collected later is one more file.
The AI workbench's side column has a Ways view: blocks by job, what each does
and where it came from, greyed with the pack (opens ComfyUI-Manager) or model it
lacks, and a switch (user/anomalous/ai_blocks.json) that keeps it from the AI;
begin_task lists only the blocks on and runnable here, the rest in one line.
New blocks: upscale_iterative (Impact Pack), upscale_two_models ($loader role,
a second loader "like" it), remove_background (inspyrenet-rembg).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A block node can be "like" a role (takes its settings) or "replace" it (its
links, place and settings too; LanPaint's sampler for the KSampler). $save is
the output node the picture reaches, past a stitch. Upscale blocks take an
upscale model this ComfyUI has; control blocks a ControlNet whose base fits the
canvas's model, and the picture to follow copied into the input folder. The
directory is grouped by job, a few words a block, to keep begin_task short.
Drop-down choices are read in both forms of ComfyUI's node list.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
api/reference_blocks.py holds groups distilled from workflows that do
one job well: a repaint that crops around the mark, repaints at 1024
and stitches back (ComfyUI-Inpaint-CropAndStitch), the same with
built-in nodes only, and face and hand detailing (Impact Pack, the
detector models this ComfyUI has). begin_task hands the AI their
directory; add_nodes(block=...) builds one in one call. Its links name
roles web/modules/canvas_roles.js finds on the canvas by their sockets
(the sampler, its decode and save, what feeds an input upstream), so
canvas_wiring splices it into the workflow there; several samplers
need near_node_id, a missing pack names the pack and the stand-in.
The repaint note now points to the block. Checked on the test ComfyUI:
the repaint changed the marked area only, the detailer the face area.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A value of the right type under an unknown name may mean something
else (set_prompt {style: "anime"} is no prompt), so the correction now
takes only the other names light models were seen to write in the tool
exams (name/workflow_name, file/filename/image_name, text/positive,
model/id, node/id); any other name is answered with what the tool takes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A call lacking its one needed argument but carrying one unknown
argument of that type is run with it (open_workflow {name} is
{workflow}), and the AI is told the right name. The timeline names
zoom_image steps; a test makes every tool have a name in both
languages. tool-exam.md records the second exam, all eight tasks
including the repaint one.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
A question the user began to answer is never answered with the
recommended option on time-out; the AI is told they began an answer
and ends its turn. On the page, what was half typed in a question's
line survives the question being drawn again (another question came,
the AI read an answer), with the cursor; that question stays first in
the strip; a narrow window lights the stage tab instead of taking it
from under the user's typing; Enter that picks an input-method word no
longer sends a stage answer line.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Gemini 3.8 Flash took seven exam tasks through Antigravity (107 calls, 19
failed, every task done). Nearly all failures were a tool's first use:
empty or guessed arguments. So:
- An argument error lists what the tool takes ("set_prompt takes: prompt
(needed), role, node_id, mode"), and the next call is right.
- One argument name per thing: set_prompt's text is prompt (as in
run_workflow), open_workflow's name is workflow (as in run_workflow).
- A wait over 55 s waits 55 s instead of failing; search_models takes a
model type in the singular too.
- An unread reply older than two hours no longer draws a new chat's calls
into its old task (a two-day-old mark took the first exam task).
The exam doc gets the setup, the Antigravity command line and the results.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Antigravity, Claude Code, Cursor and VS Code load tool descriptions on
demand themselves; looking tools up through Anomalous (tool_help, use_tool)
only doubled that: in one Gemini 3.8 Flash run 18 of 29 calls went to it,
while full-set chats had none. tool_help, use_tool, action_catalog.DAILY,
ai_gates.tool_set and the Gates row go.
An app still holding an older list is now told apart by the list it fetched
last (a fingerprint per app in anomalous/ai_tool_lists.json), so the note
under the task header also covers an Anomalous update.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- An AI app calling by an older tool list (tool_help or use_tool not offered,
use_tool for a tool offered directly, a tool the list lacks) is told so, and
the task header shows how to reconnect until the app fetches tools/list again.
- add_lora / set_model compare the base models on the model line
(model_advice.py; the page reports the line) and add base_model_note.
- get_model gives author_examples (sampler, steps, CFG, size, a LoRA's weight
from the Civitai record's example pictures) and the version name.
- run_workflow says ComfyUI's refusal as which node, what is wrong and the tool
that fixes it (run_refusal.py; mcp_run.js passes the refusal as data).
- Gates "When I don't answer": wait for me, or go with the recommendation once
the waiting time runs out (choices with a recommended option only), handed to
the AI in the same call and shown on the stage and under Decisions.
- A tool budget test (count, size, description length, required arguments) and
the exam tasks with their scorecard (docs/architecture/tool-exam.md,
tools/tool_exam.mjs). The tool set's text recommends Full for Antigravity.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The user took an option for something to select and then pressed "skip"
to confirm; boxes shown open read as fields to fill.
- Questions (stage panels, the strip over the message box): options are
buttons with an arrow under "One press sends it to the AI" and show the
pressed one at once; "Let the AI decide" moves to the question's top
right (the panel title for ask_user); a line of one's own is folded as
"None of these, I'll say it…". The Gates card folds its reason the same.
- A waiting task is one page: the sentence for the AI leads and sticks
under the task header while the page scrolls (the workbench measures the
header); "Say what to do" and the gallery are optional folds that say
how many pictures are in. The sentence has the AI do what the task says,
asking only when it says nothing. The Get started / Put ready tabs and
their words are gone.
- Gates window texts fixed (canvas covers building, lines are over the
message box, "Ask me" named as on the button); run_workflow waits up to
55 s by default, so a quick run comes back with its pictures.
- The UI map counts words the backend names (label_key) as used.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
