加固分离提示词生成

绑定提示改用切片参数避免多余复制

清理提取提示中的描述与返工备注文本

apps/ai-game-creator-shell/src-tauri/src/ui_editor/commands/separation/prompt/binding.rs

@@ -1,7 +1,7 @@
 use crate::ui_editor::commands::separation::image_preprocess::VISUAL_BINDING_TRANSPARENT_MARKER_RGBA;
 use crate::ui_editor::commands::separation::SeparationNode;
 
-pub(crate) fn gen_binding_prompt(nodes: Vec<&SeparationNode>) -> String {
+pub(crate) fn gen_binding_prompt(nodes: &[&SeparationNode]) -> String {
     let [marker_red, marker_green, marker_blue, marker_alpha] =
         VISUAL_BINDING_TRANSPARENT_MARKER_RGBA;
     let marker_color = format!("rgba({marker_red}, {marker_green}, {marker_blue}, {marker_alpha})");

apps/ai-game-creator-shell/src-tauri/src/ui_editor/commands/separation/prompt/extract.rs

@@ -1,4 +1,6 @@
-use crate::ui_editor::commands::separation::model::{SeparationState, SeparationTree};
+use crate::ui_editor::commands::separation::model::{
+    sanitize_prompt_text, SeparationState, SeparationTree,
+};
 use crate::ui_editor::commands::separation::{SeparationNode, SeparationNodeKind};
 use crate::ui_editor::utils::NodeId;
 use serde::Serialize;
@@ -122,8 +124,13 @@ fn project_node(
             width: node.width_px,
             height: node.height_px,
         },
-        description: node.note.description.clone(),
-        rework_notes: node.note.rework_notes.clone(),
+        description: sanitize_prompt_text(&node.note.description),
+        rework_notes: node
+            .note
+            .rework_notes
+            .iter()
+            .map(|note| sanitize_prompt_text(note))
+            .collect(),
         children,
     }
 }

apps/ai-game-creator-shell/src-tauri/src/ui_editor/commands/separation/workflow/binding.rs

@@ -93,7 +93,7 @@ async fn visual_binding_inner(
     )
     .with_strict(true);
     let initial_history = vec![
-        LlmMessage::system(gen_binding_prompt(nodes.to_vec())),
+        LlmMessage::system(gen_binding_prompt(nodes)),
         LlmMessage::user_multimodal(vec![
             LlmMessageContentPart::InputText {
                 text: "processed image:".to_string(),