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fix(editor): stabilize image workflows and editing controls

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pewdiepie-archdaemon
2026-10-30 08:46:10 +00:00
parent 8b8fc62449
commit e79c81fbb8
45 changed files with 1928 additions and 267 deletions
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routes/editor_agent_routes.py
+27 -2
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@@ -855,6 +855,11 @@ def _plan_special(
left to the model. Returns (steps, reply, note) or None. These never need an
image provider except generative border fill, used only when one exists.
"""
if re.fullmatch(
r"\s*(?:please\s+)?(?:remove|erase|delete|clear|strip)\s+(?:the\s+)?(?:bg|background|backdrop)(?:\s+(?:from|of)\s+(?:the\s+)?(?:active|current|selected)\s+layer)?[.!\s]*",
prompt, re.I,
):
return [{"op": "ai.removeBackground", "params": {}}], "Removing the active layer's background.", ""
# Targeted recolour is fully deterministic (object mask + masked hue shift)
# and must never be left to the model, which sometimes substitutes a
# generative placeImage. Highest priority so it can never vary.
@@ -1647,6 +1652,13 @@ def setup_editor_agent_routes() -> APIRouter:
screenshot = body.get("screenshot")
# Optional user-picked image model (from the editor model selector).
model_choice = str(body.get("model") or body.get("image_model") or "").strip()
generation_model_choice = str(body.get("generation_model") or "").strip()
use_image_settings = body.get("_use_image_settings") is True
if use_image_settings:
from src.editor_image_settings import editor_image_models
image_models = editor_image_models()
model_choice = image_models["edit"]
generation_model_choice = image_models["generation"]
# Optional user-picked PLANNER model (the editor agent/planner model).
agent_model = str(body.get("agent_model") or "").strip()
tools_offered = [tool for tool in _scoped_editor_tools() if tool not in disabled]
@@ -1797,9 +1809,22 @@ def setup_editor_agent_routes() -> APIRouter:
# Planner output is untrusted: it cannot redirect this turn to
# another editor session or override an explicit model choice.
tool_payload["session"] = session
if use_image_settings:
tool_payload["_use_image_settings"] = True
if op == "generate_image" and state.get("width") and state.get("height"):
try:
width, height = int(state["width"]), int(state["height"])
if width > 0 and height > 0:
tool_payload["size"] = f"{width}x{height}"
except (TypeError, ValueError):
pass
# Route to the user-picked model when one is selected.
if model_choice:
tool_payload["model"] = model_choice
selected_model = generation_model_choice if op == "generate_image" else model_choice
if selected_model:
tool_payload["model"] = selected_model
elif op == "generate_image" or use_image_settings:
# Let server settings resolve Auto, not a planner-invented model.
tool_payload.pop("model", None)
# Hand the AI step the canvas image the client already captured
# for this request. Without it the tool falls back to a separate
# bridge screenshot, which is not reliably answered right after a