Files
DemonGatanjieu-Anomalous_Mo…/api/action_catalog.py
T
DemonGatanjieuandClaude Opus 5.5 c41af60cd9 Tell the AI what loads a model, file model patches right, add gallery pictures to messages
- 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>
2026-10-23 19:50:57 +08:00

101 lines
4.9 KiB
Python

"""What each thing an AI app can do through Anomalous's MCP endpoint is, in one place.
Every tool (mcp_tools.py reads, mcp_actions.py acts, mcp_task_tools.py the AI's own) has an
entry here: its kind (the AI workbench's colour, words and counts; None = not a step of its
own), the stage of the work it belongs to (the flow over a task: models, combo, prompt,
canvas, run, pictures, voice, library) and its gate (what it touches or costs, for the user's
rules on what needs their OK: canvas, gpu, download, network, files; None = nothing to guard).
tests/test_action_catalog.py keeps this catalog and the tools in step.
The user's own changes in Anomalous (activity log actions) get stages too, so the ones made
while an AI works sit in the same flow as its steps (ai_tasks.note_activity).
"""
from collections import namedtuple
Entry = namedtuple("Entry", "kind stage gate")
STAGES = ("model", "combo", "prompt", "canvas", "run", "picture", "voice", "library")
GATES = ("canvas", "gpu", "download", "network", "files")
TOOLS = {
# reading
"library_overview": Entry("look", "library", None),
"search_models": Entry("look", "model", None),
"get_model": Entry("look", "model", None),
"scan_report": Entry("look", "library", None),
"search_images": Entry("look", "picture", None),
"get_image_info": Entry("look", "picture", None),
"list_combos": Entry("look", "combo", None),
"list_workflows": Entry("look", "canvas", None),
"list_saved_prompts": Entry("look", "prompt", None),
"search_audio": Entry("look", "voice", None),
"recent_activity": Entry("look", "library", None),
"describe_canvas": Entry("look", "canvas", None),
"check_workflow_models": Entry("look", "model", None),
"download_status": Entry("look", "model", None),
"list_voices": Entry("look", "voice", None),
# acting
"set_prompt": Entry("canvas", "prompt", "canvas"),
"set_model": Entry("canvas", "model", "canvas"),
"add_lora": Entry("canvas", "model", "canvas"),
"place_combo": Entry("canvas", "combo", "canvas"),
"fix_workflow_models": Entry("canvas", "model", "canvas"),
"find_nodes": Entry("look", "canvas", None),
"add_node": Entry("canvas", "canvas", "canvas"),
"connect_nodes": Entry("canvas", "canvas", "canvas"),
"set_values": Entry("canvas", "canvas", "canvas"),
"remove_nodes": Entry("canvas", "canvas", "canvas"),
"new_workflow": Entry("canvas", "canvas", "canvas"),
"open_workflow": Entry("canvas", "canvas", "canvas"),
"run_workflow": Entry("run", "run", "gpu"),
"download_missing_models": Entry("download", "model", "download"),
"download_model": Entry("download", "model", "download"),
"move_model": Entry("act", "model", "files"),
"scan_models": Entry("scan", "library", "network"),
"speak": Entry("speech", "voice", "gpu"),
"open_in_anomalous": Entry("show", "model", None),
# the AI's own: notes and panels are steps; the rest only steer the task
"report": Entry("note", None, None),
"log_decision": Entry("decision", None, None),
"show_panel": Entry("panel", None, None),
"ask_user": Entry("panel", None, None),
"show_run_map": Entry("panel", None, None),
"begin_task": Entry(None, None, None),
"track_run": Entry(None, "run", None), # attaches an existing submission; creates its own run step
"update_panel": Entry(None, None, None),
"get_answers": Entry(None, None, None),
"run_status": Entry("look", "run", None),
"stop_run": Entry(None, "run", None), # ends a run step of its own; the step says who stopped it
"get_toolbox": Entry(None, None, None),
# Anomalous's card in the conversation (mcp_apps.py): its own calls, not the AI's steps
"app_task_view": Entry(None, None, None),
"app_answer": Entry(None, None, None),
}
# Activity log actions (activity_log.py ROUTE_ACTIONS, and "canvas") the user makes in Anomalous
# that belong in the task an AI is working on, with their stage. Downloads, imports, moves, scans
# and backups are left out: an AI's own calls can cause those too.
USER_ACTIONS = {
"canvas": "canvas",
"model_edit": "library", "model_cover": "library", "model_delete": "library",
"recipe_save": "canvas", "recipe_edit": "canvas", "recipe_delete": "canvas", "recipe_restore": "canvas",
"material_save": "prompt", "material_edit": "prompt", "material_delete": "prompt",
"preset_save": "run", "preset_rename": "run", "preset_delete": "run",
"image_delete": "picture", "audio_delete": "voice", "audio_save": "voice", "voice_settings": "voice",
"note_save": "library", "note_delete": "library",
}
def entry(tool, read_only=True):
"""The catalog entry of `tool`; one not listed is a read, or an act when it is not read-only."""
found = TOOLS.get(tool)
if found:
return found
return Entry("look" if read_only else "act", None, None)
def is_step(tool):
"""Whether a call of `tool` is a step of its own in a task."""
return entry(tool).kind is not None