DemonGatanjieuandClaude Opus 5.5
c41af60cd9
- model_kind: Anima LLLite, Qwen-Image block-wise and Z-Image Fun ControlNets (and other ModelPatchLoader files) go to model_patches, not controlnet; import and Tidy follow. - api/mcp_model_use.py: search_models / get_model say which node types load each model, or where a misfiled one belongs; move_model moves it there behind a new "files" gate (asks by default, never overwrites). - An empty drop-down in add_node says ComfyUI found no file; the task tab switch is no longer logged as the user's canvas change. - The folded task list stays while the pointer is in the box around its button and the list. - The message box's picture button picks gallery pictures; "@" offers the gallery's newest and searches it as you type. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
354 lines
24 KiB
Python
354 lines
24 KiB
Python
"""MCP tools that shape the AI workbench's record (ai_tasks.py): begin_task names a piece of
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work, report leaves a note for the user (with pictures made outside Anomalous's tools),
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show_panel / update_panel draw a panel from Anomalous's blocks (ai_panels.py), get_answers
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reads what the user picked or typed on it."""
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from . import ai_decisions, ai_marks, ai_message_refs, ai_panels, ai_run_control, ai_run_tracking, ai_task_links, ai_task_runs, ai_tasks, ai_toolbox
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from .mcp_tools import MAX_LIMIT, ToolError, _schema
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PACK_TYPES = 150 # node types listed per picked pack
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def begin_task(ctx, title, new_task=False):
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title = str(title or "").strip()
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if not title:
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raise ToolError("title is empty: a few words on what the user asked for.")
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task = ai_tasks.begin_task(
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ctx.get("client") or "AI", title, new_task=bool(new_task),
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session=ctx.get("session") or "", task_id=ctx.get("task"),
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)
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answer = {"task": task["id"], "title": task["title"], "note": "Continue this task; do not begin another for its individual steps. "
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"Ask the user anything with ask_user: they answer in Anomalous's AI workbench, not in your chat. "
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"Use run_workflow to submit and see real execution progress. If you submit via /prompt or another tool, "
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"immediately call track_run(prompt_ids, task) with the exact IDs from YOUR submission response. "
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"External work is invisible until attached; never guess ownership from the global queue. "
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"When the user's setting is a tab of the task's own, Anomalous keeps your canvas work in it "
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"(it copies their open workflow there before your first change); do not switch tabs yourself. "
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"Every AMB tool call from now on is a step of this task in Anomalous's AI workbench, "
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"where the user sees, opens and undoes them. Call report to explain a choice "
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"or to hand in pictures you made another way; report with done=true at the end."}
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box = ai_toolbox.effective(ai_tasks.get_task(task["id"]))
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if box:
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answer["toolbox"] = ai_toolbox.words(box)
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goes_on = ai_task_links.carried(task)
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if goes_on:
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answer["continues"] = goes_on # the task this one goes on from, and what was decided there
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decided = ai_decisions.lines(ai_tasks.get_task(task["id"]))
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if decided:
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answer["decisions"] = decided # what was settled so far, the user's own choices in Anomalous too
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if task.get("about"):
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# Handed over from a model page, an image or a combo in Anomalous: the ids the tools take.
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answer["about"] = task["about"]
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answer["about_note"] = ("The user started this task from these in Anomalous; work with them: model_id goes to "
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"set_model / add_lora / get_model, image to get_image_info, a combo's name to place_combo, "
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"a workflow's name to open_workflow.")
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return answer
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def report(ctx, text="", images=None, done=False, reply_to=None, task=None):
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try:
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step, missing = ai_tasks.report(
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ctx.get("client") or "AI", text, images or [], bool(done),
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session=ctx.get("session") or "", task_id=task or ctx.get("task"), reply_to=reply_to,
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)
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except ValueError as error:
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raise ToolError(str(error))
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answer = {"noted": True, "pictures": len(step["results"])}
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if missing:
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answer["not_found"] = missing
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answer["note"] = "Pictures are paths inside ComfyUI's output folder (subfolder/name.png), as search_images gives them."
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return answer
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def log_decision(ctx, title, decision, reason="", rejected=None, by="user", related=None, task=None):
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try:
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step = ai_decisions.log(ctx.get("client") or "AI", title, decision, reason, rejected, by, related,
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session=ctx.get("session") or "", task_id=task or ctx.get("task"))
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except ValueError as error:
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raise ToolError(str(error))
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return {"recorded": True, "step": step["id"], "related": step["decision"]["related"]}
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def show_panel(ctx, title, blocks, task=None):
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try:
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panel = ai_panels.show(
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ctx.get("client") or "AI", title, blocks,
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session=ctx.get("session") or "", task_id=task or ctx.get("task"),
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)
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except ai_panels.PanelError as error:
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raise ToolError(str(error))
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asks = [block["id"] for block in panel["blocks"] if block["type"] in ai_panels.INTERACTIVE]
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answer = {"panel": panel["id"], "shown": True,
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"blocks": [{"id": block["id"], "type": block["type"]} for block in panel["blocks"]]}
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if asks:
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answer["questions"] = asks
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answer["note"] = ("The user answers in Anomalous when they get to it; call get_answers with this panel id "
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"(wait_seconds up to 55 waits for it) before going on with what depends on it.")
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return answer
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def ask_user(ctx, question, options=None, multiple=False, other=True, wait_seconds=ai_panels.MAX_WAIT, task=None):
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"""A question in the AI workbench, where the user watches the work: options to press (one may be
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recommended), a line of their own; waits for the answer."""
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block = ({"type": "choices", "id": "answer", "options": options, "multiple": bool(multiple), "other": bool(other)}
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if options else {"type": "input", "id": "answer", "question": str(question or "")[:200]})
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try:
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panel = ai_panels.show(ctx.get("client") or "AI", question, [block], session=ctx.get("session") or "",
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task_id=task or ctx.get("task"), tool="ask_user")
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answer = ai_panels.get_answers(ctx.get("client") or "AI", panel["id"], wait_seconds)
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except ai_panels.PanelError as error:
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raise ToolError(str(error))
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given = next((item for item in answer["answers"] if item["question"] == "answer"), None)
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if not given:
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return {"answered": False, "panel": panel["id"],
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"note": "The user has not answered yet. Keep waiting with get_answers(panel, wait_seconds=55); "
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"do not ask the same in your own chat, they answer in Anomalous."}
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out = {"answered": True, "panel": panel["id"]}
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if given.get("skipped"):
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out.update(skipped=True, note="The user skipped this question: go on with your own judgement.")
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elif given.get("text"):
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out["text"] = given["text"]
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if given.get("choice") == ["other"]:
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out["note"] = "None of your options: the user wrote their own answer."
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else:
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out.update(choice=given.get("choice"), labels=given.get("labels"))
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return out
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def update_panel(ctx, panel, title=None, blocks=None, closed=None, task=None):
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del ctx, task
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try:
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updated = ai_panels.update(panel, title, blocks, closed)
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except ai_panels.PanelError as error:
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raise ToolError(str(error))
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return {"updated": True, "blocks": [{"id": block.get("id"), "type": block["type"]}
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for block in updated["blocks"]]}
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def run_status(ctx, wait_seconds=0, task=None):
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try:
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return ai_task_runs.status(ctx.get("client") or "AI", ctx.get("session") or "", task or ctx.get("task"), wait_seconds)
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except ValueError as error:
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raise ToolError(str(error))
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def show_run_map(ctx, title, run=None, task=None):
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client, session = ctx.get("client") or "AI", ctx.get("session") or ""
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task_id = ai_tasks.active_task_id(client, session, task or ctx.get("task"))
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runs = [step for step in (ai_tasks.get_task(task_id) or {}).get("steps", []) if step.get("tool") == "run_workflow"] if task_id else []
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found = next((step for step in reversed(runs) if step.get("map") and (not run or step["id"] == run)), None)
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if not found:
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raise ToolError("No run of this task has its shape yet: it is read once ComfyUI has queued the run (run_workflow).")
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try:
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panel = ai_panels.show(client, title, [{"type": "run_map", "step": found["id"]}], session=session, task_id=task_id,
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tool="show_run_map")
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except ai_panels.PanelError as error:
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raise ToolError(str(error))
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boxes = found["map"]["boxes"]
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return {"panel": panel["id"], "shown": True, "run": found["id"], "changes": found.get("changes") or [],
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"boxes": [{"node_id": box["id"], "title": box["title"], "role": box["role"]} for box in boxes]}
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def stop_run(ctx, task=None):
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client, session = ctx.get("client") or "AI", ctx.get("session") or ""
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task_id = ai_tasks.active_task_id(client, session, task or ctx.get("task"))
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run = next((step for step in reversed((ai_tasks.get_task(task_id) or {}).get("steps", []))
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if step.get("tool") == "run_workflow"), None) if task_id else None
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if not run:
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raise ToolError("No run in this task yet.")
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try:
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done = ai_run_control.stop(run["id"], by="ai", task_id=task_id)
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except ai_run_control.RunControlError as error:
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raise ToolError(str(error))
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return {**done, "stopped": True, "note": "Stopping: run_status(wait_seconds=10) confirms it ended."}
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def get_toolbox(ctx, task=None):
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from .mcp_canvas_edit import find_nodes
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task_id = task or ctx.get("task") or ai_tasks.active_task_id(ctx.get("client") or "AI", ctx.get("session") or "")
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box = ai_toolbox.effective(ai_tasks.get_task(task_id)) if task_id else None
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if not box:
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return {"picked": False, "note": "The user picked nothing for this task; use what fits."}
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answer = {"picked": True, "mode": box["mode"], "note": ai_toolbox.words(box)}
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if box.get("nodes"):
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found = find_nodes(ctx, types=box["nodes"])
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answer["nodes"] = found["nodes"]
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if found.get("not_found"):
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answer["page_only_nodes"] = found["not_found"] # helpers that live only in the page: add_node takes them
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if box.get("packs"):
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from .mcp_canvas_edit import object_info
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info = object_info(ctx)
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answer["packs"] = []
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for pack in box["packs"]:
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types = sorted(name for name, item in info.items() if ai_toolbox.source_of(item) == pack)
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answer["packs"].append({"pack": pack, "count": len(types), "node_types": [
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{"type": name, "display_name": info[name].get("display_name") or name, "category": info[name].get("category") or ""}
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for name in types[:PACK_TYPES]]})
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answer["packs_note"] = "Every node type of a pack is the user's pick; find_nodes(types=[...]) gives one in full."
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for kind in ("combos", "workflows", "prompts"):
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if box.get(kind):
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answer[kind] = [found for name in box[kind] if (found := ai_message_refs.lookup(kind, name)) is not None]
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if box.get("models"):
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answer["models"] = [ai_message_refs.lookup("models", model_id) or {"model_id": model_id, "missing": True} for model_id in box["models"]]
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return answer
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def get_answers(ctx, panel=None, wait_seconds=0, task=None):
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try:
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client = ctx.get("client") or "AI"
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task_id = task or ctx.get("task") or None
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if not task_id and ctx.get("session"):
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task_id = ai_tasks.active_task_id(client, ctx["session"]) or ""
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answer = ai_panels.get_answers(client, panel, wait_seconds, task_id=task_id)
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return answer, ai_marks.image_items(answer.get("messages") or []) # marked pictures, as pictures
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except ai_panels.PanelError as error:
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raise ToolError(str(error))
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BLOCKS_HELP = (
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"blocks, top to bottom, each {type, ...}: heading {text}; text {text, tone: normal|muted|tip|warning}; "
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"images {items: [{image: 'subfolder/name.png' from search_images, caption, marks: [{x, y, r | w, h, label, "
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"color: red|green|blue|yellow|purple}]}], layout: row|grid|compare} (marks: circles or boxes with a label, x/y/w/h/r "
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"as fractions 0-1 of the picture, x/y the centre; a click on the label zooms there); "
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"slider {before: {image}, after: {image}, before_label, after_label} (one picture over the other, a line to drag); "
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"picks {id, question, items: [{id, image, label, reason, recommended}] (2-12), multiple} (pictures to choose from, "
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"each with 'take this one'; the user can also put a picture's workflow back on the canvas); "
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"diagram {nodes: [{id, label, detail, node_id, color}], edges: [{from, to, label}], direction: right|down} (boxes and "
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"arrows Anomalous lays out; node_id from describe_canvas makes a box find that node); "
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"models {items: [{model_id from search_models, note}]} (cards with their covers, a click opens them); "
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"table {columns: [...], rows: [[...]]}; list {items: [...], ordered}; params {items: [{label, value}]}; "
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"choices {id, question, options: [{id, label, detail}] (2-8), multiple} (buttons the user presses); "
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"input {id, question, placeholder} (a line the user types); progress {label, value, max}; divider {}. "
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"Each block may have a stable id; the tool returns block ids in display order. "
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"Plain text only (no markup, no links); up to 30 blocks, 12 pictures or models a block."
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)
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_TASK_PROP = {"type": "string", "description": "Optional task id returned by begin_task."}
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def _task_tool(name, title, description, run, properties, required=()):
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return name, {"run": run, "context": True, "spec": {
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"name": name, "title": title, "description": description,
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"inputSchema": _schema(properties, required),
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"annotations": {"title": title, "readOnlyHint": name in ("run_status", "get_toolbox"), "destructiveHint": False,
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"idempotentHint": False, "openWorldHint": False},
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}}
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TASK_TOOLS = dict([
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_task_tool("track_run", "Track an externally submitted run",
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"Immediately after YOU submit to this ComfyUI server via /prompt or another tool, attach the exact "
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"prompt_ids returned by your submissions to your task. This does NOT submit or rerun anything. "
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"The workbench then shows real queue/node progress and results. Never use another user's IDs or "
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"guess from queue differences. Repeating the same IDs is safe. Waits up to wait_seconds and returns "
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"state, summary, pictures and errors; if still running, keep waiting with run_status(wait_seconds=55).",
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ai_run_tracking.track_run, {"prompt_ids": {"type": "array", "items": {"type": "string"}, "minItems": 1, "maxItems": 8},
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"task": _TASK_PROP, "wait_seconds": {"type": "number", "minimum": 0, "maximum": 55, "default": 15}}, ["prompt_ids"]),
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_task_tool("begin_task", "Begin a task",
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"Call first when you start what the user asked for: names it in Anomalous's AI workbench, where the "
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"user sees each of your steps with what it made, and can open or undo it. Reuses the user's waiting "
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"task or your active task, including any preliminary reads. Use new_task=true only for a separate "
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"user request, never for another step of the same work.",
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begin_task, {"title": {"type": "string", "description": "A few words, in the user's language."},
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"new_task": {"type": "boolean", "default": False}},
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["title"]),
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_task_tool("report", "Tell the user",
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"Leaves a note in the AI workbench, where the user reads your work: why you chose something, what to "
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"look at, what is left, and your answers to them. Write there what you would tell them in your chat; "
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"headings (#), lists (- or 1.), **bold** and `code` are laid out. reply_to: the id of the user's message "
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"or marks you answer (user_messages[].id), so your reply shows under it. images: pictures you made in "
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"ComfyUI's output folder (subfolder/name.png) that Anomalous's tools did not make, so they are kept "
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"with the task. done=true ends the task.",
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report, {"text": {"type": "string"},
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"images": {"type": "array", "items": {"type": "string"}, "maxItems": MAX_LIMIT},
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"done": {"type": "boolean", "default": False},
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"reply_to": {"type": "string", "description": "user_messages[].id of what you answer."},
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"task": _TASK_PROP}),
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_task_tool("log_decision", "Record a decision",
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"Keeps a key decision of the task in Anomalous's AI workbench, where the user looks back on how the "
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"task went. Talk it over wherever you like, your own chat too; once you and the user settle something "
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"(a style, a model, a fix, what to drop), record it here: title (what it is about), decision (what was "
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"settled), reason, rejected (the options left out), by (user: they chose; ai: your own call; "
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"together), related (ids of this task's steps it is about: a run, the marks, a panel). The user's own "
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"choices in Anomalous (panel answers, allowing a step, materials) are kept already; record the rest.",
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log_decision, {"title": {"type": "string"}, "decision": {"type": "string"}, "reason": {"type": "string"},
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"rejected": {"type": "array", "items": {"type": "string"}, "maxItems": ai_decisions.MAX_REJECTED},
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"by": {"type": "string", "enum": list(ai_decisions.BY), "default": "user"},
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"related": {"type": "array", "items": {"type": "string"}, "maxItems": ai_decisions.MAX_RELATED},
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"task": _TASK_PROP},
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["title", "decision"]),
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_task_tool("show_panel", "Show the user a panel",
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"Draws a panel in the AI workbench, in Anomalous's own style, from blocks: to compare pictures side by "
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"side, present models with their covers, lay out settings, a table, and to ask (buttons or a line of "
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"text). Use a new panel for each new phase (plan, workflow, then results), in the order they happen. "
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"Use it when a choice is the user's, or to show results better than words do. " + BLOCKS_HELP,
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show_panel, {"title": {"type": "string"},
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"blocks": {"type": "array", "items": {"type": "object"}, "maxItems": ai_panels.MAX_BLOCKS},
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"task": _TASK_PROP},
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["title", "blocks"]),
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_task_tool("ask_user", "Ask the user",
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"Asks the user in Anomalous's AI workbench, where they watch your work, and waits for the answer: "
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"a question with options to press (2-8 {label, detail, recommended}: mark the one you suggest with "
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"recommended=true instead of writing it into the label) and, unless other=false, a line for their own "
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"answer; no options: a question they answer in a line. Use it for every choice or preference that is "
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"the user's while you work on an Anomalous task, never your own chat's question form. Returns the "
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"choice (or their text); if they have not answered within wait_seconds, keep waiting with get_answers.",
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ask_user, {"question": {"type": "string"},
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"options": {"type": "array", "maxItems": 8, "items": {"type": "object", "properties": {
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"label": {"type": "string"}, "detail": {"type": "string"}, "recommended": {"type": "boolean"}}}},
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"multiple": {"type": "boolean", "default": False}, "other": {"type": "boolean", "default": True},
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"wait_seconds": {"type": "number", "minimum": 0, "maximum": ai_panels.MAX_WAIT, "default": ai_panels.MAX_WAIT},
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"task": _TASK_PROP},
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["question"]),
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_task_tool("update_panel", "Change a panel",
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"Adds new output at the BOTTOM of an existing panel, preserving earlier content and its order. "
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"Send only the new blocks; repeated unchanged blocks are kept once. To deliberately correct an "
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"existing block or update a progress bar/question in place, include its returned block id and "
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"the same type. Omitted blocks are retained, not deleted. Never reuse an old block id for a new "
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"result: append it or use show_panel for the next phase. Up to 30 total blocks per panel. "
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"Can also change title, or set closed=true to stop answers; existing answers stay.",
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update_panel, {"panel": {"type": "string"}, "title": {"type": "string"},
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"blocks": {"type": "array", "items": {"type": "object"}, "maxItems": ai_panels.MAX_BLOCKS},
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"closed": {"type": "boolean"}, "task": _TASK_PROP}, ["panel"]),
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_task_tool("run_status", "How the run is going",
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"Where your task's latest workflow run stands: queued (how many runs are ahead), running (which node, "
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"its steps, percent, nodes done of all), done (with the pictures it saved) or failed; summary says it "
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"in one sentence. wait_seconds (up to 55) waits for it to end. Runs take a while: call this instead of "
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"guessing, looking in the output folder or at the screen. While a run goes, your other tools' answers "
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"carry the same news as your_run, and once more when it ends.",
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run_status, {"wait_seconds": {"type": "number", "minimum": 0, "maximum": ai_task_runs.MAX_STATUS_WAIT, "default": 0},
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"task": _TASK_PROP}),
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_task_tool("show_run_map", "Show what the run really was",
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"Puts the shape of your task's latest run (or `run`, a run step id) on the user's stage: the nodes it "
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"really ran as boxes (models, LoRAs with weights, prompts, size, sampler settings, saving), linked, "
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"each one locates its node on the canvas, with what changed since the run before. Anomalous reads it "
|
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"from the prompt ComfyUI queued, so use this instead of drawing the workflow yourself; add your "
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"explanation with report. title: a few words in the user's language.",
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show_run_map, {"title": {"type": "string"}, "run": {"type": "string"}, "task": _TASK_PROP}, ["title"]),
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_task_tool("stop_run", "Stop the run",
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"Stops your task's run that is still going: its prompts still queued leave ComfyUI's queue and the one "
|
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"running is interrupted (never anyone else's). Use it when run_status warns that the run is far too big "
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"or slow and the user agrees (ask_user), or when the user asks you to stop.",
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stop_run, {"task": _TASK_PROP}),
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_task_tool("get_toolbox", "What the user picked for you",
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"The node types, whole custom node packs, combos, saved workflows, prompts and models the user picked in "
|
|
"the AI workbench for this task, in full (inputs and outputs of the nodes, each pack's node types, the "
|
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"combos' models and prompts…), and how strictly: prefer (use them first) or only (add_node and "
|
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"new_workflow accept only those node types and the packs' besides ComfyUI's built-in ones). "
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"begin_task says when there are any.",
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get_toolbox, {"task": _TASK_PROP}),
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_task_tool("get_answers", "Read the user's answers and messages",
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"What the user picked or typed on your panels, and what they wrote to you in the AI workbench "
|
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"(messages: a change of mind, 'stop', 'make it brighter'; kind=change: something they changed "
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"themselves in Anomalous while you worked, keep it), since you last asked; each once. For one "
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"panel (and its task's messages), or all of yours. wait_seconds (up to 55) waits when nothing is there "
|
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"yet: for that panel's open questions, or with no panel for anything the user sends. still_waiting "
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"lists the questions not answered; skipped=true is a question the user chose not to answer (go on with your "
|
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"own judgement). Check it between steps of longer work.",
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get_answers, {"panel": {"type": "string"},
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"wait_seconds": {"type": "number", "minimum": 0, "maximum": ai_panels.MAX_WAIT, "default": 0},
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"task": _TASK_PROP}),
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|
])
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