DemonGatanjieuandClaude Opus 5.5
6443ddf81b
The user's marks are rough. propose_repaint_area takes the AI's area for them (boxes or ellipses, grown and softened by pixels), draws both areas tinted over the picture into the task's marks folder and shows them side by side on a panel (block "area"): the AI's, the user's own, or marking again, or words on what to change. The picked area is written into the input folder like the user's own mask (ai_marks.write_inpaint, soft edges kept) before the answer is recorded, so the AI reads inpaint_image and the inpaint note with it. Building the repaint stays the AI's: the note names the usual nodes, no template. Options Anomalous makes carry a page word (label_key). The panel hint and guide say "Your call". Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
122 lines
6.4 KiB
Python
122 lines
6.4 KiB
Python
"""What each thing an AI app can do through Anomalous's MCP endpoint is, in one place.
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Every tool (mcp_tools.py reads, mcp_actions.py acts, mcp_task_tools.py the AI's own) has an
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entry here: its kind (the AI workbench's colour, words and counts; None = not a step of its
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own), the stage of the work it belongs to (the flow over a task: models, combo, prompt,
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canvas, run, pictures, voice, library) and its gate (what it touches or costs, for the user's
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rules on what needs their OK: canvas, gpu, download, network, files; None = nothing to guard).
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tests/test_ai_tasks.py keeps this catalog and the tools in step.
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The user's own changes in Anomalous (activity log actions) get stages too, so the ones made
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while an AI works sit in the same flow as its steps (ai_tasks.note_activity).
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"""
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from collections import namedtuple
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Entry = namedtuple("Entry", "kind stage gate")
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STAGES = ("model", "combo", "prompt", "canvas", "run", "picture", "voice", "library")
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GATES = ("canvas", "gpu", "download", "network", "files")
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# The "daily" set the user can offer AI apps instead of all tools (ai_gates.tool_set): runs of saved
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# workflows with their blanks, pictures, models, the task's own, and compact canvas building; the
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# others stay reachable through mcp_directory's tool_help and use_tool.
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DAILY = frozenset({
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"begin_task", "get_situation", "report", "ask_user", "get_answers", "log_decision", "log_outside", "show_panel",
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"propose_repaint_area",
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"list_workflows", "run_workflow", "run_status", "stop_run", "search_images", "get_image_info", "zoom_image",
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"search_models", "set_model", "add_lora", "check_workflow_models", "fix_workflow_models",
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"find_nodes", "add_node", "add_nodes", "connect_nodes", "set_values", "new_workflow",
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})
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# Arguments with which a call also changes the canvas: it then asks as the stricter of its own gate and "canvas".
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ALSO_CANVAS = {"run_workflow": ("workflow", "prompt", "negative", "seed", "width", "height", "image", "image_node", "values")}
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TOOLS = {
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# reading
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"library_overview": Entry("look", "library", None),
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"search_models": Entry("look", "model", None),
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"get_model": Entry("look", "model", None),
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"scan_report": Entry("look", "library", None),
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"search_images": Entry("look", "picture", None),
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"get_image_info": Entry("look", "picture", None),
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"zoom_image": Entry("look", "picture", None),
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"list_combos": Entry("look", "combo", None),
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"list_workflows": Entry("look", "canvas", None),
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"list_saved_prompts": Entry("look", "prompt", None),
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"search_audio": Entry("look", "voice", None),
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"recent_activity": Entry("look", "library", None),
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"describe_canvas": Entry("look", "canvas", None),
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"get_situation": Entry("look", None, None), # the task, the canvas in brief and the next step (mcp_situation.py)
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"check_workflow_models": Entry("look", "model", None),
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"download_status": Entry("look", "model", None),
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"list_voices": Entry("look", "voice", None),
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# acting
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"set_prompt": Entry("canvas", "prompt", "canvas"),
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"set_model": Entry("canvas", "model", "canvas"),
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"add_lora": Entry("canvas", "model", "canvas"),
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"place_combo": Entry("canvas", "combo", "canvas"),
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"fix_workflow_models": Entry("canvas", "model", "canvas"),
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"find_nodes": Entry("look", "canvas", None),
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"add_node": Entry("canvas", "canvas", "canvas"),
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"add_nodes": Entry("canvas", "canvas", "canvas"),
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"connect_nodes": Entry("canvas", "canvas", "canvas"),
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"set_values": Entry("canvas", "canvas", "canvas"),
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"remove_nodes": Entry("canvas", "canvas", "canvas"),
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"new_workflow": Entry("canvas", "canvas", "canvas"),
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"open_workflow": Entry("canvas", "canvas", "canvas"),
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"run_workflow": Entry("run", "run", "gpu"),
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"download_missing_models": Entry("download", "model", "download"),
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"download_model": Entry("download", "model", "download"),
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"move_model": Entry("act", "model", "files"),
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"scan_models": Entry("scan", "library", "network"),
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"speak": Entry("speech", "voice", "gpu"),
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"open_in_anomalous": Entry("show", "model", None),
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# the AI's own: notes and panels are steps; the rest only steer the task
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"report": Entry("note", None, None),
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"log_decision": Entry("decision", None, None),
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"log_outside": Entry("outside", None, None), # what it did with other tools (ai_outside.py, which also notes what changed)
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"show_panel": Entry("panel", None, None),
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"ask_user": Entry("panel", None, None),
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"propose_repaint_area": Entry("panel", "picture", None),
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"show_run_map": Entry("panel", None, None),
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"begin_task": Entry(None, None, None),
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"tool_help": Entry("look", None, None),
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"use_tool": Entry(None, None, None), # never a step itself: the server makes it the tool it names
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"track_run": Entry(None, "run", None), # attaches an existing submission; creates its own run step
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"update_panel": Entry(None, None, None),
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"get_answers": Entry(None, None, None),
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"run_status": Entry("look", "run", None),
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"stop_run": Entry(None, "run", None), # ends a run step of its own; the step says who stopped it
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"get_toolbox": Entry(None, None, None),
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# Anomalous's card in the conversation (mcp_apps.py): its own calls, not the AI's steps
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"app_task_view": Entry(None, None, None),
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"app_answer": Entry(None, None, None),
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}
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# Activity log actions (activity_log.py ROUTE_ACTIONS, and "canvas") the user makes in Anomalous
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# that belong in the task an AI is working on, with their stage. Downloads, imports, moves, scans
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# and backups are left out: an AI's own calls can cause those too.
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USER_ACTIONS = {
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"canvas": "canvas",
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"model_edit": "library", "model_cover": "library", "model_delete": "library",
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"recipe_save": "canvas", "recipe_edit": "canvas", "recipe_delete": "canvas", "recipe_restore": "canvas",
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"material_save": "prompt", "material_edit": "prompt", "material_delete": "prompt",
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"preset_save": "run", "preset_rename": "run", "preset_delete": "run",
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"image_delete": "picture", "audio_delete": "voice", "audio_save": "voice", "voice_settings": "voice",
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"note_save": "library", "note_delete": "library",
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}
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def entry(tool, read_only=True):
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"""The catalog entry of `tool`; one not listed is a read, or an act when it is not read-only."""
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found = TOOLS.get(tool)
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if found:
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return found
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return Entry("look" if read_only else "act", None, None)
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def is_step(tool):
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"""Whether a call of `tool` is a step of its own in a task."""
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return entry(tool).kind is not None
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