DemonGatanjieuandClaude Opus 5.5
52bd4cbce2
ask_user shows a question in the AI workbench (options with an optional
recommended one, and unless other=false a line for an answer of the
user's own; no options: a line) and waits in the same call for the
answer, returning the choice or the text. Choices blocks gain
recommended and other; the step is named ask_user ("Asked you"). The
server instructions, begin_task and the workbench prompt tell the AI to
ask every question this way, never in its own chat.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
60 lines
3.9 KiB
Python
60 lines
3.9 KiB
Python
"""Ready-made requests the user can start from their AI app (MCP prompts; Claude shows them as
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slash commands such as /anomalous:pick_best): each is a few lines telling the AI how to do a
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common job with Anomalous's tools so the user can watch, choose and step in on the AI workbench.
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They only shape the AI's first message; they change nothing themselves."""
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PROMPTS = {
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"workbench_task": {
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"title": "Start a task on the AI workbench",
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"description": "Do something in ComfyUI the way the user can follow on Anomalous's AI workbench.",
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"arguments": [{"name": "what", "description": "What to do", "required": True}],
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"text": ("Use Anomalous for this: {what}\n"
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"Call begin_task with a short title in my language first. Show your plan, then results, with "
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"show_panel in the order they happen; when a choice is mine, ask it with ask_user (or a picks panel, "
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"waiting with get_answers), never in this chat. Honour any user_messages that come with a tool result. End with report(done=true)."),
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},
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"pick_best": {
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"title": "Make a few, let me pick",
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"description": "Make several variations with the open workflow and let the user pick one.",
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"arguments": [{"name": "what", "description": "What to vary (seed, LoRA weight, prompt…)", "required": True},
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{"name": "count", "description": "How many (default 3)", "required": False}],
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"text": ("Make {count} variations of the open ComfyUI workflow, changing: {what}.\n"
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"Call begin_task first. Read the canvas (describe_canvas), change one thing per run, run the workflow "
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"each time and find the pictures with search_images. Then show them with show_panel as a picks block, "
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"each with what you changed as its reason, and wait for my pick with get_answers. Put the chosen "
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"settings back on the canvas and report(done=true)."),
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},
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"fix_missing_models": {
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"title": "Fix the missing models",
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"description": "Find what the open workflow lacks and put it back, asking before downloads.",
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"arguments": [],
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"text": ("Check the open workflow's models with check_workflow_models (call begin_task first). Put back the ones "
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"Anomalous found with certainty (fix_workflow_models). Show what is still missing with show_panel as a "
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"table, and ask me with choices before downloading anything. report(done=true) when finished."),
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},
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"explain_canvas": {
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"title": "Explain the open workflow",
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"description": "A picture of the open workflow's main chain with a short explanation.",
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"arguments": [],
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"text": ("Explain the workflow open in ComfyUI. Call begin_task, read it with describe_canvas, then show_panel "
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"with a diagram block of its main chain (loaders, prompts, sampler, decoding, saving; node_id on each "
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"box) and a few lines of text on what each part does and which settings matter most. Change nothing."),
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},
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}
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def list_prompts():
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return {"prompts": [{"name": name, "title": item["title"], "description": item["description"], "arguments": item["arguments"]}
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for name, item in PROMPTS.items()]}
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def get_prompt(name, arguments=None):
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"""prompts/get, or None for an unknown name or a missing required argument."""
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item = PROMPTS.get(name)
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arguments = arguments if isinstance(arguments, dict) else {}
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if not item or any(arg["required"] and not str(arguments.get(arg["name"], "")).strip() for arg in item["arguments"]):
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return None
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values = {"what": "", "count": "3", **{key: str(value) for key, value in arguments.items()}}
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return {"description": item["description"],
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"messages": [{"role": "user", "content": {"type": "text", "text": item["text"].format(**values)}}]}
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