update tracks

conductor/archive/frosted_glass_20260313/plan.md

@@ -1,26 +0,0 @@
-# Implementation Plan: Frosted Glass Background Effect
-
-## Phase 1: Shader Development & Integration
-- [ ] Task: Audit `src/shader_manager.py` to identify existing background/post-process integration points.
-- [ ] Task: Write Tests: Verify `ShaderManager` can compile and bind a multi-pass blur shader.
-- [ ] Task: Implement: Add `FrostedGlassShader` (GLSL) to `src/shader_manager.py`.
-- [ ] Task: Implement: Integrate the blur shader into the `ShaderManager` lifecycle.
-- [ ] Task: Conductor - User Manual Verification 'Phase 1: Shader Development & Integration' (Protocol in workflow.md)
-
-## Phase 2: Framebuffer Capture Pipeline
-- [ ] Task: Write Tests: Verify the FBO capture mechanism correctly samples the back buffer and stores it in a texture.
-- [ ] Task: Implement: Update `src/shader_manager.py` or `src/gui_2.py` to handle "pre-rendering" of the background into a texture for blurring.
-- [ ] Task: Implement: Ensure the blurred texture is updated every frame or on window move events.
-- [ ] Task: Conductor - User Manual Verification 'Phase 2: Framebuffer Capture Pipeline' (Protocol in workflow.md)
-
-## Phase 3: GUI Integration & Rendering
-- [ ] Task: Write Tests: Verify that a mocked ImGui window successfully calls the frosted glass rendering logic.
-- [ ] Task: Implement: Create a `_render_frosted_background(self, pos, size)` helper in `src/gui_2.py`.
-- [ ] Task: Implement: Update panel rendering loops (e.g. `_gui_func`) to inject the frosted background before calling `imgui.begin()` for major panels.
-- [ ] Task: Conductor - User Manual Verification 'Phase 3: GUI Integration & Rendering' (Protocol in workflow.md)
-
-## Phase 4: UI Controls & Configuration
-- [ ] Task: Write Tests: Verify that modifying blur uniforms via the Live Editor updates the shader state.
-- [ ] Task: Implement: Add "Frosted Glass" sliders (Blur, Tint, Opacity) to the **Shader Editor** in `src/gui_2.py`.
-- [ ] Task: Implement: Update `src/theme.py` to parse and store frosted glass settings from `config.toml`.
-- [ ] Task: Conductor - User Manual Verification 'Phase 4: UI Controls & Configuration' (Protocol in workflow.md)

conductor/product.md

@@ -17,7 +17,7 @@ For deep implementation details when planning or implementing tracks, consult `d
 ## Primary Use Cases
 
 - **Full Control over Vendor APIs:** Exposing detailed API metrics and configuring deep agent capabilities directly within the GUI.
-- **Context & Memory Management:** Better visualization and management of token usage and context memory. Includes granular per-file flags (**Auto-Aggregate**, **Force Full**), a dedicated **'Context' role** for manual injections, and **Context Presets** for saving and loading named file/screenshot selections. Allows assigning specific context presets to MMA agent personas for granular cognitive load isolation.
+- **Context & Memory Management:** Better visualization and management of token usage and context memory. Includes granular per-file flags (**Auto-Aggregate**, **Force Full**) and a dedicated **'Context' role** for manual injections, allowing developers to optimize prompt limits with expert precision.
 - **Manual "Vibe Coding" Assistant:** Serving as an auxiliary, multi-provider assistant that natively interacts with the codebase via sandboxed PowerShell scripts and MCP-like file tools, emphasizing manual developer oversight and explicit confirmation.
 
 ## Key Features
@@ -33,7 +33,6 @@ For deep implementation details when planning or implementing tracks, consult `d
     - **Track Browser:** Real-time visualization of all implementation tracks with status indicators and progress bars. Includes a dedicated **Active Track Summary** featuring a color-coded progress bar, precise ticket status breakdown (Completed, In Progress, Blocked, Todo), and dynamic **ETA estimation** based on historical completion times.
     - **Visual Task DAG:** An interactive, node-based visualizer for the active track's task dependencies using `imgui-node-editor`. Features color-coded state tracking (Ready, Running, Blocked, Done), drag-and-drop dependency creation, and right-click deletion.
     - **Strategy Visualization:** Dedicated real-time output streams for Tier 1 (Strategic Planning) and Tier 2/3 (Execution) agents, allowing the user to follow the agent's reasoning chains alongside the task DAG.
-    - **Agent-Focused Filtering:** Allows the user to focus the entire GUI (Session Hub, Discussion Hub, Comms) on a specific agent's activities and scoped context.
   - **Track-Scoped State Management:** Segregates discussion history and task progress into per-track state files. Supports **Project-Specific Conductor Directories**, defaulting to `./conductor` relative to each project's TOML file. Projects can define their own conductor path override in `manual_slop.toml` (`[conductor].dir`) via the Projects tab for isolated track management. This prevents global context pollution and ensures the Tech Lead session is isolated to the specific track's objective.
   **Native DAG Execution Engine:** Employs a Python-based Directed Acyclic Graph (DAG) engine to manage complex task dependencies. Supports automated topological sorting, robust cycle detection, and **transitive blocking propagation** (cascading `blocked` status to downstream dependents to prevent execution stalls).
 
@@ -55,8 +54,6 @@ For deep implementation details when planning or implementing tracks, consult `d
 - **High-Fidelity Selectable UI:** Most read-only labels and logs across the interface (including discussion history, comms payloads, tool outputs, and telemetry metrics) are now implemented as selectable text fields. This enables standard OS-level text selection and copying (Ctrl+C) while maintaining a high-density, non-editable aesthetic.
 - **High-Fidelity UI Rendering:** Employs advanced 3x font oversampling and sub-pixel positioning to ensure crisp, high-clarity text rendering across all resolutions, enhancing readability for dense logs and complex code fragments.
 - **Enhanced MMA Observability:** Worker streams and ticket previews now support direct text selection, allowing for easy extraction of specific logs or reasoning fragments during parallel execution.
-- **Transparent Context Visibility:** A dedicated **Session Hub** exposes the exact aggregated markdown and resolved system prompt sent to the AI.
-- **Injection Timeline:** Discussion history visually indicates the precise moments when files or screenshots were injected into the session context.
 - **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
 - **Advanced Log Management:** Optimizes log storage by offloading large data (AI-generated scripts and tool outputs) to unique files within the session directory, using compact `[REF:filename]` pointers in JSON-L logs to minimize token overhead during analysis. Features a dedicated **Log Management panel** for monitoring, whitelisting, and pruning session logs.
 - **Full Session Restoration:** Allows users to load and reconstruct entire historical sessions from their log directories. Includes a dedicated, tinted **'Historical Replay' mode** that populates discussion history and provides a read-only view of prior agent activities.
@@ -69,7 +66,7 @@ For deep implementation details when planning or implementing tracks, consult `d
 - **Clean Project Root:** Enforces a "Cruft-Free Root" policy by organizing core implementation into a `src/` directory and redirecting all temporary test data, configurations, and AI-generated artifacts to `tests/artifacts/`.
 - **Performance Diagnostics:** Comprehensive, conditional per-component profiling across the entire application. Features a dedicated **Diagnostics Panel** providing real-time telemetry for FPS, Frame Time, CPU usage, and **Detailed Component Timings** for all GUI panels and background threads, including automated threshold-based latency alerts.
 - **Automated UX Verification:** A robust IPC mechanism via API hooks and a modular simulation suite allows for human-like simulation walkthroughs and automated regression testing of the full GUI lifecycle across multiple specialized scenarios.
-- **Professional UI Theme & Typography:** Implements a high-fidelity visual system featuring **Inter** and **Maple Mono** fonts for optimal readability. Employs a cohesive "Subtle Rounding" aesthetic across all standard widgets, supported by custom **soft shadow shaders** for modals and popups to provide depth and professional polish. Includes a selectable **NERV UI theme** featuring a "Black Void" palette, zero-rounding geometry, and CRT-style visual effects (scanlines, status flickering).
+- **Professional UI Theme & Typography:** Implements a high-fidelity visual system featuring **Inter** and **Maple Mono** fonts for optimal readability. Employs a cohesive \"Subtle Rounding\" aesthetic across all standard widgets, supported by custom **soft shadow shaders** for modals and popups, and a high-fidelity **frosted glass (acrylic) background effect** for panels to provide depth and professional polish. Includes a selectable **NERV UI theme** featuring a \"Black Void\" palette, zero-rounding geometry, and CRT-style visual effects (scanlines, status flickering).
 - **Rich Text & Syntax Highlighting:** Provides advanced rendering for messages, logs, and tool outputs using a hybrid Markdown system. Supports GitHub-Flavored Markdown (GFM) via `imgui_markdown` and integrates `ImGuiColorTextEdit` for high-performance syntax highlighting of code blocks (Python, JSON, C++, etc.). Includes automated language detection and clickable URL support.
 - **Multi-Viewport & Layout Management:** Full support for ImGui Multi-Viewport, allowing users to detach panels into standalone OS windows for complex multi-monitor workflows. Includes a comprehensive **Layout Presets system**, enabling developers to save, name, and instantly restore custom window arrangements, including their Multi-Viewport state.
 - **Headless Backend Service & Hook API:** Optional headless mode allowing the core AI and tool execution logic to run as a decoupled service. Features a comprehensive Hook API and WebSocket event streaming for remote orchestration, deep state inspection, and manual worker lifecycle management.

conductor/tech-stack.md

@@ -70,6 +70,6 @@
 - **Synchronous IPC Approval Flow:** A specialized bridge mechanism that allows headless AI providers (like Gemini CLI) to synchronously request and receive human approval for tool calls via the GUI's REST API hooks.
 - **High-Fidelity Selectable Labels:** Implements a pattern for making read-only UI text selectable by wrapping `imgui.input_text` with `imgui.InputTextFlags_.read_only`. Includes a specialized `_render_selectable_label` helper that resets frame backgrounds, borders, and padding to mimic standard labels while enabling OS-level clipboard support (Ctrl+C).
 - **Hybrid Markdown Rendering:** Employs a custom `MarkdownRenderer` that orchestrates `imgui_markdown` for standard text and headers while intercepting code blocks to render them via cached `ImGuiColorTextEdit` instances. This ensures high-performance rich text rendering with robust syntax highlighting and stateful text selection.
-- **Hybrid Shader Pipeline:** Utilizes an optimized `ImDrawList`-based batching technique to simulate UI effects such as soft shadows and acrylic glass overlays without the overhead of heavy GPU-resident shaders. Supplemented by a true GPU shader pipeline using `PyOpenGL` and Framebuffer Objects (FBOs) for complex post-processing (CRT scanlines, bloom) and dynamic backgrounds.
+- **Hybrid Shader Pipeline:** Utilizes an optimized `ImDrawList`-based batching technique to simulate UI effects such as soft shadows without the overhead of heavy GPU-resident shaders. Supplemented by a true GPU shader pipeline using `PyOpenGL` and Framebuffer Objects (FBOs) for complex post-processing (CRT scanlines, bloom), dynamic backgrounds, and high-fidelity **frosted glass (acrylic) blurring** of the GUI panels via multi-pass Gaussian/Kawase filtering.
 - **Interface-Driven Development (IDD):** Enforces a "Stub-and-Resolve" pattern where cross-module dependencies are resolved by generating signatures/contracts before implementation.
 

conductor/tracks.md

@@ -35,7 +35,7 @@ This file tracks all major tracks for the project. Each track has its own detail
 7. [ ] **Track: Optimization pass for Data-Oriented Python heuristics**
     *Link: [./tracks/data_oriented_optimization_20260312/](./tracks/data_oriented_optimization_20260312/)*
 
-8. [x] **Track: Rich Thinking Trace Handling** - *Parse and display AI thinking/reasoning traces*
+8. [ ] **Track: Rich Thinking Trace Handling**
     *Link: [./tracks/thinking_trace_handling_20260313/](./tracks/thinking_trace_handling_20260313/)*
 
 ---
@@ -60,14 +60,14 @@ This file tracks all major tracks for the project. Each track has its own detail
 
 5. [x] **Track: NERV UI Theme Integration** (Archived 2026-03-09)
 
-6. [X] **Track: Custom Shader and Window Frame Support** 
+6. [x] **Track: Custom Shader and Window Frame Support** 
    *Link: [./tracks/custom_shaders_20260309/](./tracks/custom_shaders_20260309/)*
 
 7. [x] **Track: UI/UX Improvements - Presets and AI Settings**
    *Link: [./tracks/presets_ai_settings_ux_20260311/](./tracks/presets_ai_settings_ux_20260311/)*
    *Goal: Improve the layout, scaling, and control ergonomics of the Preset windows (Personas, Prompts, Tools) and AI Settings panel. Includes dual-control sliders and categorized tool management.*
 
-8. [x] **Track: Session Context Snapshots & Visibility**
+8. [ ] **Track: Session Context Snapshots & Visibility**
    *Link: [./tracks/session_context_snapshots_20260311/](./tracks/session_context_snapshots_20260311/)*
    *Goal: Session-scoped context management, saving Context Presets, MMA assignment, and agent-focused session filtering in the UI.*
 
@@ -79,9 +79,12 @@ This file tracks all major tracks for the project. Each track has its own detail
     *Link: [./tracks/undo_redo_history_20260311/](./tracks/undo_redo_history_20260311/)*
     *Goal: Robust, non-provider based undo/redo for text inputs, UI controls, discussion mutations, and context management. Includes hotkey support and a history list view.*
 
-11. [x] **Track: Advanced Text Viewer with Syntax Highlighting**
+11. [ ] **Track: Advanced Text Viewer with Syntax Highlighting**
     *Link: [./tracks/text_viewer_rich_rendering_20260313/](./tracks/text_viewer_rich_rendering_20260313/)*
 
+12. [x] **Track: Frosted Glass Background Effect**
+    *Link: [./tracks/frosted_glass_20260313/](./tracks/frosted_glass_20260313/)*
+
 ---
 
 ### Additional Language Support
@@ -161,10 +164,6 @@ This file tracks all major tracks for the project. Each track has its own detail
 
 ### Completed / Archived
 
--. [ ] ~~**Track: Frosted Glass Background Effect**~~ ***NOT WORTH THE PAIN***
-    *Link: [./tracks/frosted_glass_20260313/](./tracks/frosted_glass_20260313/)*
-
-
 - [x] **Track: External MCP Server Support** (Archived 2026-03-12)
 - [x] **Track: Project-Specific Conductor Directory** (Archived 2026-03-12)
 - [x] **Track: GUI Path Configuration in Context Hub** (Archived 2026-03-12)

conductor/tracks/frosted_glass_20260313/plan.md

@@ -0,0 +1,26 @@
+# Implementation Plan: Frosted Glass Background Effect
+
+## Phase 1: Shader Development & Integration [checkpoint: 55f3bd8]
+- [x] Task: Audit `src/shader_manager.py` to identify existing background/post-process integration points. [1328bc1]
+- [x] Task: Write Tests: Verify `ShaderManager` can compile and bind a multi-pass blur shader. [1328bc1]
+- [x] Task: Implement: Add `FrostedGlassShader` (GLSL) to `src/shader_manager.py`. [1328bc1]
+- [x] Task: Implement: Integrate the blur shader into the `ShaderManager` lifecycle. [1328bc1]
+- [x] Task: Conductor - User Manual Verification 'Phase 1: Shader Development & Integration' (Protocol in workflow.md) [55f3bd8]
+
+## Phase 2: Framebuffer Capture Pipeline [checkpoint: e9b7875]
+- [x] Task: Write Tests: Verify the FBO capture mechanism correctly samples the back buffer and stores it in a texture. [f297e7a]
+- [x] Task: Implement: Update `src/shader_manager.py` or `src/gui_2.py` to handle "pre-rendering" of the background into a texture for blurring. [f297e7a]
+- [x] Task: Implement: Ensure the blurred texture is updated every frame or on window move events. [f297e7a]
+- [x] Task: Conductor - User Manual Verification 'Phase 2: Framebuffer Capture Pipeline' (Protocol in workflow.md) [e9b7875]
+
+## Phase 3: GUI Integration & Rendering [checkpoint: cecbe22]
+- [x] Task: Write Tests: Verify that a mocked ImGui window successfully calls the frosted glass rendering logic. [cecbe22]
+- [x] Task: Implement: Create a `_render_frosted_background(self, pos, size)` helper in `src/gui_2.py`. [cecbe22]
+- [x] Task: Implement: Update panel rendering loops (e.g. `_gui_func`) to inject the frosted background before calling `imgui.begin()` for major panels. [cecbe22]
+- [x] Task: Conductor - User Manual Verification 'Phase 3: GUI Integration & Rendering' (Protocol in workflow.md) [cecbe22]
+
+## Phase 4: UI Controls & Configuration [checkpoint: cecbe22]
+- [x] Task: Write Tests: Verify that modifying blur uniforms via the Live Editor updates the shader state. [cecbe22]
+- [x] Task: Implement: Add "Frosted Glass" sliders (Blur, Tint, Opacity) to the **Shader Editor** in `src/gui_2.py`. [cecbe22]
+- [x] Task: Implement: Update `src/theme.py` to parse and store frosted glass settings from `config.toml`. [cecbe22]
+- [x] Task: Conductor - User Manual Verification 'Phase 4: UI Controls & Configuration' (Protocol in workflow.md) [cecbe22]

conductor/tracks/session_context_snapshots_20260311/plan.md

@@ -1,24 +1,24 @@
 # Implementation Plan: Session Context Snapshots & Visibility
 
 ## Phase 1: Backend Support for Context Presets
-- [x] Task: Write failing tests for saving, loading, and listing Context Presets in the project configuration. 93a590c
-- [x] Task: Implement Context Preset storage logic (e.g., updating TOML schemas in `project_manager.py`) to manage file/screenshot lists. 93a590c
-- [x] Task: Conductor - User Manual Verification 'Phase 1: Backend Support for Context Presets' (Protocol in workflow.md) 93a590c
+- [ ] Task: Write failing tests for saving, loading, and listing Context Presets in the project configuration.
+- [ ] Task: Implement Context Preset storage logic (e.g., updating TOML schemas in `project_manager.py`) to manage file/screenshot lists.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Backend Support for Context Presets' (Protocol in workflow.md)
 
 ## Phase 2: GUI Integration & Persona Assignment
-- [x] Task: Write tests for the Context Hub UI components handling preset saving and loading. 573f5ee
-- [x] Task: Implement the UI controls in the Context Hub to save current selections as a preset and load existing presets. 573f5ee
-- [x] Task: Update the Persona configuration UI (`personas.py` / `gui_2.py`) to allow assigning a named Context Preset to an agent persona. 791e1b7
-- [x] Task: Conductor - User Manual Verification 'Phase 2: GUI Integration & Persona Assignment' (Protocol in workflow.md) 791e1b7
+- [ ] Task: Write tests for the Context Hub UI components handling preset saving and loading.
+- [ ] Task: Implement the UI controls in the Context Hub to save current selections as a preset and load existing presets.
+- [ ] Task: Update the Persona configuration UI (`personas.py` / `gui_2.py`) to allow assigning a named Context Preset to an agent persona.
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: GUI Integration & Persona Assignment' (Protocol in workflow.md)
 
 ## Phase 3: Transparent Context Visibility
-- [x] Task: Write tests to ensure the initial aggregate markdown, resolved system prompt, and file injection timestamps are accurately recorded in the session state. 84b6266
-- [x] Task: Implement UI elements in the Session Hub to expose the aggregated markdown and the active system prompt. 84b6266
-- [x] Task: Enhance the discussion timeline rendering in `gui_2.py` to visually indicate exactly when files and screenshots were injected into the context. 84b6266
-- [x] Task: Conductor - User Manual Verification 'Phase 3: Transparent Context Visibility' (Protocol in workflow.md) 84b6266
+- [ ] Task: Write tests to ensure the initial aggregate markdown, resolved system prompt, and file injection timestamps are accurately recorded in the session state.
+- [ ] Task: Implement UI elements in the Session Hub to expose the aggregated markdown and the active system prompt.
+- [ ] Task: Enhance the discussion timeline rendering in `gui_2.py` to visually indicate exactly when files and screenshots were injected into the context.
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: Transparent Context Visibility' (Protocol in workflow.md)
 
 ## Phase 4: Agent-Focused Session Filtering
-- [x] Task: Write tests for the GUI state filtering logic when focusing on a specific agent's session. 038c909
-- [x] Task: Relocate the 'Focus Agent' feature from the Operations Hub to the MMA Dashboard. 038c909
-- [x] Task: Implement the action to filter the Session and Discussion hubs based on the selected agent's context. 038c909
-- [x] Task: Conductor - User Manual Verification 'Phase 4: Agent-Focused Session Filtering' (Protocol in workflow.md) 038c909
+- [ ] Task: Write tests for the GUI state filtering logic when focusing on a specific agent's session.
+- [ ] Task: Relocate the 'Focus Agent' feature from the Operations Hub to the MMA Dashboard.
+- [ ] Task: Implement the action to filter the Session and Discussion hubs based on the selected agent's context.
+- [ ] Task: Conductor - User Manual Verification 'Phase 4: Agent-Focused Session Filtering' (Protocol in workflow.md)

conductor/tracks/text_viewer_rich_rendering_20260313/plan.md

@@ -1,29 +1,29 @@
 # Implementation Plan: Advanced Text Viewer with Syntax Highlighting
 
 ## Phase 1: State & Interface Update
-- [x] Task: Audit `src/gui_2.py` to ensure all `text_viewer_*` state variables are explicitly initialized in `App.__init__`. e28af48
-- [x] Task: Implement: Update `App.__init__` to initialize `self.show_text_viewer`, `self.text_viewer_title`, `self.text_viewer_content`, and new `self.text_viewer_type` (defaulting to "text"). e28af48
-- [x] Task: Implement: Update `self.text_viewer_wrap` (defaulting to True) to allow independent word wrap. e28af48
-- [x] Task: Implement: Update `_render_text_viewer(self, label: str, content: str, text_type: str = "text")` signature and caller usage. e28af48
-- [x] Task: Conductor - User Manual Verification 'Phase 1: State & Interface Update' (Protocol in workflow.md) e28af48
+- [ ] Task: Audit `src/gui_2.py` to ensure all `text_viewer_*` state variables are explicitly initialized in `App.__init__`.
+- [ ] Task: Implement: Update `App.__init__` to initialize `self.show_text_viewer`, `self.text_viewer_title`, `self.text_viewer_content`, and new `self.text_viewer_type` (defaulting to "text").
+- [ ] Task: Implement: Update `self.text_viewer_wrap` (defaulting to True) to allow independent word wrap.
+- [ ] Task: Implement: Update `_render_text_viewer(self, label: str, content: str, text_type: str = "text")` signature and caller usage.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: State & Interface Update' (Protocol in workflow.md)
 
 ## Phase 2: Core Rendering Logic (Code & MD)
-- [x] Task: Write Tests: Create a simulation test in `tests/test_gui_text_viewer.py` to verify the viewer opens and switches rendering paths based on `text_type`. a91b8dc
-- [x] Task: Implement: In `src/gui_2.py`, refactor the text viewer window loop to: a91b8dc
-  - Use `MarkdownRenderer.render` if `text_type == "markdown"`. a91b8dc
-  - Use a cached `ImGuiColorTextEdit.TextEditor` if `text_type` matches a code language. a91b8dc
-  - Fallback to `imgui.input_text_multiline` for plain text. a91b8dc
-- [x] Task: Implement: Ensure the `TextEditor` instance is properly cached using a unique key for the text viewer to maintain state. a91b8dc
-- [x] Task: Conductor - User Manual Verification 'Phase 2: Core Rendering Logic' (Protocol in workflow.md) a91b8dc
+- [ ] Task: Write Tests: Create a simulation test in `tests/test_gui_text_viewer.py` to verify the viewer opens and switches rendering paths based on `text_type`.
+- [ ] Task: Implement: In `src/gui_2.py`, refactor the text viewer window loop to:
+  - Use `MarkdownRenderer.render` if `text_type == "markdown"`.
+  - Use a cached `ImGuiColorTextEdit.TextEditor` if `text_type` matches a code language.
+  - Fallback to `imgui.input_text_multiline` for plain text.
+- [ ] Task: Implement: Ensure the `TextEditor` instance is properly cached using a unique key for the text viewer to maintain state.
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: Core Rendering Logic' (Protocol in workflow.md)
 
 ## Phase 3: UI Features (Copy, Line Numbers, Wrap)
-- [x] Task: Write Tests: Update `tests/test_gui_text_viewer.py` to verify the copy-to-clipboard functionality and word wrap toggle. a91b8dc
-- [x] Task: Implement: Add a "Copy" button to the text viewer title bar or a small toolbar at the top of the window. a91b8dc
-- [x] Task: Implement: Add a "Word Wrap" checkbox inside the text viewer window. a91b8dc
-- [x] Task: Implement: Configure the `TextEditor` instance to show line numbers and be read-only. a91b8dc
-- [x] Task: Conductor - User Manual Verification 'Phase 3: UI Features' (Protocol in workflow.md) a91b8dc
+- [ ] Task: Write Tests: Update `tests/test_gui_text_viewer.py` to verify the copy-to-clipboard functionality and word wrap toggle.
+- [ ] Task: Implement: Add a "Copy" button to the text viewer title bar or a small toolbar at the top of the window.
+- [ ] Task: Implement: Add a "Word Wrap" checkbox inside the text viewer window.
+- [ ] Task: Implement: Configure the `TextEditor` instance to show line numbers and be read-only.
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: UI Features' (Protocol in workflow.md)
 
 ## Phase 4: Integration & Rollout
-- [x] Task: Implement: Update all existing calls to `_render_text_viewer` in `src/gui_2.py` (e.g., in `_render_files_panel`, `_render_tool_calls_panel`) to pass the correct `text_type` based on file extension or content. 2826ad5
-- [x] Task: Implement: Add "Markdown Preview" support for system prompt presets using the new text viewer logic. 2826ad5
-- [x] Task: Conductor - User Manual Verification 'Phase 4: Integration & Rollout' (Protocol in workflow.md) 2826ad5
+- [ ] Task: Implement: Update all existing calls to `_render_text_viewer` in `src/gui_2.py` (e.g., in `_render_files_panel`, `_render_tool_calls_panel`) to pass the correct `text_type` based on file extension or content.
+- [ ] Task: Implement: Add "Markdown Preview" support for system prompt presets using the new text viewer logic.
+- [ ] Task: Conductor - User Manual Verification 'Phase 4: Integration & Rollout' (Protocol in workflow.md)

conductor/tracks/thinking_trace_handling_20260313/plan.md

@@ -1,23 +1,26 @@
 # Implementation Plan: Rich Thinking Trace Handling
 
-## Status: COMPLETE (2026-03-14)
+## Phase 1: Core Parsing & Model Update
+- [ ] Task: Audit `src/models.py` and `src/project_manager.py` to identify current message serialization schemas.
+- [ ] Task: Write Tests: Verify that raw AI responses with `<thinking>`, `<thought>`, and `Thinking:` markers are correctly parsed into segmented data structures (Thinking vs. Response).
+- [ ] Task: Implement: Add `ThinkingSegment` model and update `ChatMessage` schema in `src/models.py` to support optional thinking traces.
+- [ ] Task: Implement: Update parsing logic in `src/ai_client.py` or a dedicated utility to extract segments from raw provider responses.
+- [ ] Task: Conductor - User Manual Verification 'Phase 1: Core Parsing & Model Update' (Protocol in workflow.md)
 
-## Summary
-Implemented thinking trace parsing, model, persistence, and GUI rendering for AI responses containing `<thinking>`, `<thought>`, and `Thinking:` markers.
+## Phase 2: Persistence & History Integration
+- [ ] Task: Write Tests: Verify that `ProjectManager` correctly serializes and deserializes messages with thinking segments to/from TOML history files.
+- [ ] Task: Implement: Update `src/project_manager.py` to handle the new `ChatMessage` schema during session save/load.
+- [ ] Task: Implement: Ensure `src/aggregate.py` or relevant context builders include thinking traces in the "Discussion History" sent back to the AI.
+- [ ] Task: Conductor - User Manual Verification 'Phase 2: Persistence & History Integration' (Protocol in workflow.md)
 
-## Files Created/Modified:
-- `src/thinking_parser.py` - Parser for thinking traces
-- `src/models.py` - ThinkingSegment model
-- `src/gui_2.py` - _render_thinking_trace helper + integration
-- `tests/test_thinking_trace.py` - 7 parsing tests
-- `tests/test_thinking_persistence.py` - 4 persistence tests  
-- `tests/test_thinking_gui.py` - 4 GUI tests
+## Phase 3: GUI Rendering - Comms & Discussion
+- [ ] Task: Write Tests: Verify the GUI rendering logic correctly handles messages with and without thinking segments.
+- [ ] Task: Implement: Create a reusable `_render_thinking_trace` helper in `src/gui_2.py` using a collapsible header (e.g., `imgui.collapsing_header`).
+- [ ] Task: Implement: Integrate the thinking trace renderer into the **Comms History** panel in `src/gui_2.py`.
+- [ ] Task: Implement: Integrate the thinking trace renderer into the **Discussion Hub** message loop in `src/gui_2.py`.
+- [ ] Task: Conductor - User Manual Verification 'Phase 3: GUI Rendering - Comms & Discussion' (Protocol in workflow.md)
 
-## Implementation Details:
-- **Parser**: Extracts thinking segments from `<thinking>`, `<thought>`, `Thinking:` markers
-- **Model**: `ThinkingSegment` dataclass with content and marker fields
-- **GUI**: `_render_thinking_trace` with collapsible "Monologue" header
-- **Styling**: Tinted background (dark brown), gold/amber text
-- **Indicator**: Existing "THINKING..." in Discussion Hub
-
-## Total Tests: 15 passing
+## Phase 4: Final Polish & Theming
+- [ ] Task: Implement: Apply specialized styling (e.g., tinted background or italicized text) to expanded thinking traces to distinguish them from direct responses.
+- [ ] Task: Implement: Ensure thinking trace headers show a "Calculating..." or "Monologue" indicator while an agent is active.
+- [ ] Task: Conductor - User Manual Verification 'Phase 4: Final Polish & Theming' (Protocol in workflow.md)

config.toml

@@ -23,23 +23,23 @@ active = "C:/projects/gencpp/gencpp_sloppy.toml"
 separate_message_panel = false
 separate_response_panel = false
 separate_tool_calls_panel = false
-bg_shader_enabled = true
+bg_shader_enabled = false
 crt_filter_enabled = false
 separate_task_dag = false
-separate_usage_analytics = false
+separate_usage_analytics = true
 separate_tier1 = false
 separate_tier2 = false
 separate_tier3 = false
 separate_tier4 = false
-separate_external_tools = false
+separate_external_tools = true
 
 [gui.show_windows]
 "Context Hub" = true
 "Files & Media" = true
 "AI Settings" = true
-"MMA Dashboard" = false
+"MMA Dashboard" = true
 "Task DAG" = false
-"Usage Analytics" = false
+"Usage Analytics" = true
 "Tier 1" = false
 "Tier 2" = false
 "Tier 3" = false
@@ -51,21 +51,25 @@ separate_external_tools = false
 "Discussion Hub" = true
 "Operations Hub" = true
 Message = false
-Response = false
-"Tool Calls" = false
+Response = true
+"Tool Calls" = true
 Theme = true
-"Log Management" = false
+"Log Management" = true
 Diagnostics = false
 "External Tools" = false
-"Shader Editor" = false
+"Shader Editor" = true
 
 [theme]
 palette = "Nord Dark"
 font_path = "C:/projects/manual_slop/assets/fonts/MapleMono-Regular.ttf"
-font_size = 18.0
+font_size = 16.0
 scale = 1.0
-transparency = 1.0
-child_transparency = 1.0
+transparency = 0.699999988079071
+child_transparency = 0.6899999976158142
+frosted_blur_radius = 29.68400001525879
+frosted_tint_intensity = 0.5659999847412109
+frosted_opacity = 0.5389999747276306
+frosted_glass_enabled = true
 
 [mma]
 max_workers = 4

manualslop_layout.ini

@@ -12,7 +12,7 @@ ViewportPos=43,95
 ViewportId=0x78C57832
 Size=897,649
 Collapsed=0
-DockId=0x00000001,0
+DockId=0x00000005,0
 
 [Window][Files]
 ViewportPos=3125,170
@@ -33,7 +33,7 @@ DockId=0x0000000A,0
 Pos=0,17
 Size=1680,730
 Collapsed=0
-DockId=0x00000001,0
+DockId=0x00000005,0
 
 [Window][Provider]
 ViewportPos=43,95
@@ -41,23 +41,22 @@ ViewportId=0x78C57832
 Pos=0,651
 Size=897,468
 Collapsed=0
-DockId=0x00000001,0
+DockId=0x00000005,0
 
 [Window][Message]
-Pos=661,1426
+Pos=661,1321
 Size=716,455
 Collapsed=0
 
 [Window][Response]
-Pos=2258,1377
-Size=1102,575
+Pos=2437,925
+Size=1111,773
 Collapsed=0
 
 [Window][Tool Calls]
-Pos=520,1144
-Size=663,232
+Pos=1039,464
+Size=587,510
 Collapsed=0
-DockId=0x00000006,0
 
 [Window][Comms History]
 ViewportPos=43,95
@@ -74,10 +73,10 @@ Collapsed=0
 DockId=0xAFC85805,2
 
 [Window][Theme]
-Pos=0,1423
-Size=579,737
+Pos=2671,24
+Size=1169,2136
 Collapsed=0
-DockId=0x00000002,2
+DockId=0x00000002,1
 
 [Window][Text Viewer - Entry #7]
 Pos=379,324
@@ -88,13 +87,13 @@ Collapsed=0
 Pos=1649,24
 Size=580,1284
 Collapsed=0
-DockId=0x00000010,2
+DockId=0x00000004,2
 
 [Window][Context Hub]
-Pos=0,1423
-Size=579,737
+Pos=0,1719
+Size=999,441
 Collapsed=0
-DockId=0x00000002,1
+DockId=0x00000006,0
 
 [Window][AI Settings Hub]
 Pos=406,17
@@ -103,28 +102,28 @@ Collapsed=0
 DockId=0x0000000D,0
 
 [Window][Discussion Hub]
-Pos=2230,26
-Size=1610,2134
+Pos=1762,24
+Size=907,2136
 Collapsed=0
-DockId=0x00000013,0
+DockId=0x00000011,0
 
 [Window][Operations Hub]
-Pos=581,26
-Size=1647,2134
+Pos=1001,24
+Size=759,2136
 Collapsed=0
-DockId=0x00000005,0
+DockId=0x00000010,0
 
 [Window][Files & Media]
-Pos=0,1423
-Size=579,737
+Pos=0,1719
+Size=999,441
 Collapsed=0
-DockId=0x00000002,0
+DockId=0x00000006,1
 
 [Window][AI Settings]
-Pos=0,26
-Size=579,1395
+Pos=0,24
+Size=999,1693
 Collapsed=0
-DockId=0x00000001,0
+DockId=0x00000005,0
 
 [Window][Approve Tool Execution]
 Pos=3,524
@@ -132,16 +131,16 @@ Size=416,325
 Collapsed=0
 
 [Window][MMA Dashboard]
-Pos=3360,26
-Size=480,2134
+Pos=2671,24
+Size=1169,2136
 Collapsed=0
-DockId=0x00000010,0
+DockId=0x00000002,0
 
 [Window][Log Management]
-Pos=3360,26
-Size=480,2134
+Pos=1931,24
+Size=629,1416
 Collapsed=0
-DockId=0x00000010,0
+DockId=0x00000002,1
 
 [Window][Track Proposal]
 Pos=709,326
@@ -167,7 +166,7 @@ Collapsed=0
 Pos=2822,1717
 Size=1018,420
 Collapsed=0
-DockId=0x0000000C,0
+DockId=0x00000004,0
 
 [Window][Approve PowerShell Command]
 Pos=649,435
@@ -175,7 +174,7 @@ Size=381,329
 Collapsed=0
 
 [Window][Last Script Output]
-Pos=927,1365
+Pos=2810,265
 Size=800,562
 Collapsed=0
 
@@ -210,7 +209,7 @@ Size=3840,32
 Collapsed=0
 
 [Window][Text Viewer - message]
-Pos=568,1226
+Pos=562,588
 Size=900,700
 Collapsed=0
 
@@ -220,7 +219,7 @@ Size=900,700
 Collapsed=0
 
 [Window][Text Viewer - text]
-Pos=1297,550
+Pos=555,644
 Size=900,700
 Collapsed=0
 
@@ -240,7 +239,7 @@ Size=900,700
 Collapsed=0
 
 [Window][Text Viewer - tool_calls]
-Pos=60,60
+Pos=589,490
 Size=900,700
 Collapsed=0
 
@@ -330,10 +329,9 @@ Size=967,499
 Collapsed=0
 
 [Window][Usage Analytics]
-Pos=1739,1107
-Size=586,269
+Pos=1702,689
+Size=566,438
 Collapsed=0
-DockId=0x0000000F,0
 
 [Window][Tool Preset Manager]
 Pos=1301,302
@@ -366,7 +364,7 @@ Size=900,700
 Collapsed=0
 
 [Window][Text Viewer - Entry #4]
-Pos=1247,1182
+Pos=828,397
 Size=900,700
 Collapsed=0
 
@@ -381,8 +379,13 @@ Size=900,700
 Collapsed=0
 
 [Window][Shader Editor]
-Pos=457,710
-Size=493,252
+Pos=753,637
+Size=493,487
+Collapsed=0
+
+[Window][Text Viewer - list_directory]
+Pos=60,60
+Size=900,700
 Collapsed=0
 
 [Table][0xFB6E3870,4]
@@ -442,7 +445,7 @@ Column 3  Width=120
 RefScale=16
 Column 0  Width=48
 Column 1  Weight=1.0000
-Column 2  Width=118
+Column 2  Width=117
 Column 3  Width=48
 
 [Table][0xD99F45C5,4]
@@ -498,23 +501,19 @@ Column 1  Weight=1.0000
 DockNode            ID=0x00000008 Pos=3125,170 Size=593,1157 Split=Y
   DockNode          ID=0x00000009 Parent=0x00000008 SizeRef=1029,147 Selected=0x0469CA7A
   DockNode          ID=0x0000000A Parent=0x00000008 SizeRef=1029,145 Selected=0xDF822E02
-DockSpace           ID=0xAFC85805 Window=0x079D3A04 Pos=0,26 Size=3840,2134 Split=X
-  DockNode          ID=0x00000003 Parent=0xAFC85805 SizeRef=3358,1183 Split=X
+DockSpace           ID=0xAFC85805 Window=0x079D3A04 Pos=0,24 Size=3840,2136 Split=X
+  DockNode          ID=0x00000003 Parent=0xAFC85805 SizeRef=1617,1183 Split=X
     DockNode        ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=X Selected=0xF4139CA2
-      DockNode      ID=0x00000007 Parent=0x0000000B SizeRef=579,858 Split=Y Selected=0x8CA2375C
-        DockNode    ID=0x00000001 Parent=0x00000007 SizeRef=824,525 CentralNode=1 Selected=0x7BD57D6A
-        DockNode    ID=0x00000002 Parent=0x00000007 SizeRef=824,737 Selected=0x8CA2375C
-      DockNode      ID=0x0000000E Parent=0x0000000B SizeRef=3259,858 Split=X Selected=0x418C7449
-        DockNode    ID=0x00000012 Parent=0x0000000E SizeRef=1647,402 Split=Y Selected=0x418C7449
-          DockNode  ID=0x00000005 Parent=0x00000012 SizeRef=876,1749 Selected=0x418C7449
-          DockNode  ID=0x00000006 Parent=0x00000012 SizeRef=876,362 Selected=0x1D56B311
-        DockNode    ID=0x00000013 Parent=0x0000000E SizeRef=1610,402 Selected=0x6F2B5B04
+      DockNode      ID=0x00000007 Parent=0x0000000B SizeRef=999,858 Split=Y Selected=0x7BD57D6A
+        DockNode    ID=0x00000005 Parent=0x00000007 SizeRef=639,904 CentralNode=1 Selected=0x7BD57D6A
+        DockNode    ID=0x00000006 Parent=0x00000007 SizeRef=639,441 Selected=0x1DCB2623
+      DockNode      ID=0x0000000E Parent=0x0000000B SizeRef=2839,858 Split=X Selected=0x418C7449
+        DockNode    ID=0x00000001 Parent=0x0000000E SizeRef=1668,1288 Split=X Selected=0x6F2B5B04
+          DockNode  ID=0x00000010 Parent=0x00000001 SizeRef=759,1416 Selected=0x418C7449
+          DockNode  ID=0x00000011 Parent=0x00000001 SizeRef=907,1416 Selected=0x6F2B5B04
+        DockNode    ID=0x00000002 Parent=0x0000000E SizeRef=1169,1288 Selected=0x8CA2375C
     DockNode        ID=0x0000000D Parent=0x00000003 SizeRef=435,1186 Selected=0x363E93D6
-  DockNode          ID=0x00000004 Parent=0xAFC85805 SizeRef=480,1183 Split=Y Selected=0x3AEC3498
-    DockNode        ID=0x00000010 Parent=0x00000004 SizeRef=1199,1689 Selected=0x2C0206CE
-    DockNode        ID=0x00000011 Parent=0x00000004 SizeRef=1199,420 Split=X Selected=0xDEB547B6
-      DockNode      ID=0x0000000C Parent=0x00000011 SizeRef=916,380 Selected=0x655BC6E9
-      DockNode      ID=0x0000000F Parent=0x00000011 SizeRef=281,380 Selected=0xDEB547B6
+  DockNode          ID=0x00000004 Parent=0xAFC85805 SizeRef=511,1183 Selected=0x3AEC3498
 
 ;;;<<<Layout_655921752_Default>>>;;;
 ;;;<<<HelloImGui_Misc>>>;;;

src/api_hooks.py

@@ -225,9 +225,6 @@ class HookHandler(BaseHTTPRequestHandler):
       for key, attr in gettable.items():
        val = _get_app_attr(app, attr, None)
        result[key] = _serialize_for_api(val)
-      result['show_text_viewer'] = _get_app_attr(app, 'show_text_viewer', False)
-      result['text_viewer_title'] = _get_app_attr(app, 'text_viewer_title', '')
-      result['text_viewer_type'] = _get_app_attr(app, 'text_viewer_type', 'markdown')
      finally: event.set()
     lock = _get_app_attr(app, "_pending_gui_tasks_lock")
     tasks = _get_app_attr(app, "_pending_gui_tasks")

src/app_controller.py

@@ -25,7 +25,6 @@ from src import project_manager
 from src import performance_monitor
 from src import models
 from src import presets
-from src import thinking_parser
 from src.file_cache import ASTParser
 from src import ai_client
 from src import shell_runner
@@ -243,8 +242,6 @@ class AppController:
   self.ai_status: str = 'idle'
   self.ai_response: str = ''
   self.last_md: str = ''
-  self.last_aggregate_markdown: str = ''
-  self.last_resolved_system_prompt: str = ''
   self.last_md_path: Optional[Path] = None
   self.last_file_items: List[Any] = []
   self.send_thread: Optional[threading.Thread] = None
@@ -254,7 +251,6 @@ class AppController:
   self.show_text_viewer: bool = False
   self.text_viewer_title: str = ''
   self.text_viewer_content: str = ''
-  self.text_viewer_type: str = 'text'
   self._pending_comms: List[Dict[str, Any]] = []
   self._pending_tool_calls: List[Dict[str, Any]] = []
   self._pending_history_adds: List[Dict[str, Any]] = []
@@ -378,10 +374,7 @@ class AppController:
    'ui_separate_tier1': 'ui_separate_tier1',
    'ui_separate_tier2': 'ui_separate_tier2',
    'ui_separate_tier3': 'ui_separate_tier3',
-   'ui_separate_tier4': 'ui_separate_tier4',
-   'show_text_viewer': 'show_text_viewer',
-   'text_viewer_title': 'text_viewer_title',
-   'text_viewer_type': 'text_viewer_type'
+   'ui_separate_tier4': 'ui_separate_tier4'
   }
   self._gettable_fields = dict(self._settable_fields)
   self._gettable_fields.update({
@@ -428,10 +421,7 @@ class AppController:
    'ui_separate_tier1': 'ui_separate_tier1',
    'ui_separate_tier2': 'ui_separate_tier2',
    'ui_separate_tier3': 'ui_separate_tier3',
-   'ui_separate_tier4': 'ui_separate_tier4',
-   'show_text_viewer': 'show_text_viewer',
-   'text_viewer_title': 'text_viewer_title',
-   'text_viewer_type': 'text_viewer_type'
+   'ui_separate_tier4': 'ui_separate_tier4'
   })
   self.perf_monitor = performance_monitor.get_monitor()
   self._perf_profiling_enabled = False
@@ -620,6 +610,16 @@ class AppController:
       self._token_stats_dirty = True
       if not is_streaming:
        self._autofocus_response_tab = True
+      # ONLY add to history when turn is complete
+     if self.ui_auto_add_history and not stream_id and not is_streaming:
+      role = payload.get("role", "AI")
+      with self._pending_history_adds_lock:
+       self._pending_history_adds.append({
+         "role": role, 
+         "content": self.ai_response, 
+         "collapsed": True, 
+         "ts": project_manager.now_ts()
+        })
     elif action in ("mma_stream", "mma_stream_append"):
     # Some events might have these at top level, some in a 'payload' dict
      stream_id = task.get("stream_id") or task.get("payload", {}).get("stream_id")
@@ -1467,22 +1467,9 @@ class AppController:
   
   if kind == "response" and "usage" in payload:
    u = payload["usage"]
-   inp = u.get("input_tokens", u.get("prompt_tokens", 0))
-   out = u.get("output_tokens", u.get("completion_tokens", 0))
-   cache_read = u.get("cache_read_input_tokens", 0)
-   cache_create = u.get("cache_creation_input_tokens", 0)
-   total = u.get("total_tokens", 0)
-
-   # Store normalized usage back in payload for history rendering
-   u["input_tokens"] = inp
-   u["output_tokens"] = out
-   u["cache_read_input_tokens"] = cache_read
-
-   self.session_usage["input_tokens"] += inp
-   self.session_usage["output_tokens"] += out
-   self.session_usage["cache_read_input_tokens"] += cache_read
-   self.session_usage["cache_creation_input_tokens"] += cache_create
-   self.session_usage["total_tokens"] += total
+   for k in ["input_tokens", "output_tokens", "cache_read_input_tokens", "cache_creation_input_tokens", "total_tokens"]:
+    if k in u:
+     self.session_usage[k] += u.get(k, 0) or 0
    input_t = u.get("input_tokens", 0)
    output_t = u.get("output_tokens", 0)
    model = payload.get("model", "unknown")
@@ -1503,27 +1490,7 @@ class AppController:
       "ts": entry.get("ts", project_manager.now_ts())
      })
 
-  if kind == "response":
-   if self.ui_auto_add_history:
-    role = payload.get("role", "AI")
-    text_content = payload.get("text", "")
-    if text_content.strip():
-     segments, parsed_response = thinking_parser.parse_thinking_trace(text_content)
-     entry_obj = {
-      "role": role,
-      "content": parsed_response.strip() if parsed_response else "",
-      "collapsed": True,
-      "ts": entry.get("ts", project_manager.now_ts())
-     }
-     if segments:
-      entry_obj["thinking_segments"] = [{"content": s.content, "marker": s.marker} for s in segments]
-     
-     if entry_obj["content"] or segments:
-      with self._pending_history_adds_lock:
-       self._pending_history_adds.append(entry_obj)
-
   if kind in ("tool_result", "tool_call"):
-   if self.ui_auto_add_history:
    role = "Tool" if kind == "tool_result" else "Vendor API"
    content = ""
    if kind == "tool_result":
@@ -2518,11 +2485,6 @@ class AppController:
   # Build discussion history text separately
   history = flat.get("discussion", {}).get("history", [])
   discussion_text = aggregate.build_discussion_text(history)
-  
-  csp = filter(bool, [self.ui_global_system_prompt.strip(), self.ui_project_system_prompt.strip()])
-  self.last_resolved_system_prompt = "\n\n".join(csp)
-  self.last_aggregate_markdown = full_md
-  
   return full_md, path, file_items, stable_md, discussion_text
 
  def _cb_plan_epic(self) -> None:

src/gui_2.py

@@ -21,6 +21,7 @@ from src import theme_2 as theme
 from src import theme_nerv_fx as theme_fx
 from src import api_hooks
 import numpy as np
+import OpenGL.GL as gl
 from src import log_registry
 from src import log_pruner
 from src import models
@@ -28,8 +29,7 @@ from src import app_controller
 from src import mcp_client
 from src import markdown_helper
 from src import bg_shader
-from src import thinking_parser
-from src import thinking_parser
+from src.shader_manager import ShaderManager
 import re
 import subprocess
 if sys.platform == "win32":
@@ -40,7 +40,7 @@ else:
  win32con = None
 
 from pydantic import BaseModel
-from imgui_bundle import imgui, hello_imgui, immapp, imgui_node_editor as ed, imgui_color_text_edit as ced
+from imgui_bundle import imgui, hello_imgui, immapp, imgui_node_editor as ed
 
 PROVIDERS: list[str] = ["gemini", "anthropic", "gemini_cli", "deepseek", "minimax"]
 COMMS_CLAMP_CHARS: int = 300
@@ -107,29 +107,11 @@ class App:
   self.controller.init_state()
   self.show_windows.setdefault("Diagnostics", False)
   self.controller.start_services(self)
-  self.controller._predefined_callbacks['_render_text_viewer'] = self._render_text_viewer
-  self.controller._predefined_callbacks['save_context_preset'] = self.save_context_preset
-  self.controller._predefined_callbacks['load_context_preset'] = self.load_context_preset
-  self.controller._predefined_callbacks['set_ui_file_paths'] = lambda p: setattr(self, 'ui_file_paths', p)
-  self.controller._predefined_callbacks['set_ui_screenshot_paths'] = lambda p: setattr(self, 'ui_screenshot_paths', p)
-  def simulate_save_preset(name: str):
-   from src import models
-   self.files = [models.FileItem(path='test.py')]
-   self.screenshots = ['test.png']
-   self.save_context_preset(name)
-  self.controller._predefined_callbacks['simulate_save_preset'] = simulate_save_preset
   self.show_preset_manager_window = False
   self.show_tool_preset_manager_window = False
   self.show_persona_editor_window = False
-  self.show_text_viewer = False
-  self.text_viewer_title = ''
-  self.text_viewer_content = ''
-  self.text_viewer_type = 'text'
-  self.text_viewer_wrap = True
-  self._text_viewer_editor: Optional[ced.TextEditor] = None
   self.ui_active_tool_preset = ""
   self.ui_active_bias_profile = ""
-  self.ui_active_context_preset = ""
   self.ui_active_persona = ""
   self._editing_persona_name = ""
   self._editing_persona_description = ""
@@ -141,7 +123,6 @@ class App:
   self._editing_persona_max_tokens = 4096
   self._editing_persona_tool_preset_id = ""
   self._editing_persona_bias_profile_id = ""
-  self._editing_persona_context_preset_id = ""
   self._editing_persona_preferred_models_list: list[dict] = []
   self._editing_persona_scope = "project"
   self._editing_persona_is_new = True
@@ -214,7 +195,6 @@ class App:
   self.show_windows.setdefault("Tier 4: QA", False)
   self.show_windows.setdefault('External Tools', False)
   self.show_windows.setdefault('Shader Editor', False)
-  self.show_windows.setdefault('Session Hub', False)
   self.ui_multi_viewport = gui_cfg.get("multi_viewport", False)
   self.layout_presets = self.config.get("layout_presets", {})
   self._new_preset_name = ""
@@ -233,9 +213,19 @@ class App:
   self._nerv_flicker = theme_fx.StatusFlicker()
   self.ui_tool_filter_category = "All"
   self.ui_discussion_split_h = 300.0
-  self.shader_uniforms = {'crt': 1.0, 'scanline': 0.5, 'bloom': 0.8}
-  self.shader_uniforms = {'crt': 1.0, 'scanline': 0.5, 'bloom': 0.8}
-  self.ui_new_context_preset_name = ""
+  self.shader_uniforms = {
+   'crt': 1.0,
+   'scanline': 0.5,
+   'bloom': 0.8,
+   'frosted_blur_radius': theme.get_frosted_blur_radius(),
+   'frosted_tint_intensity': theme.get_frosted_tint_intensity(),
+   'frosted_opacity': theme.get_frosted_opacity()
+  }
+
+  self.shader_manager = ShaderManager()
+  self.start_time = time.time()
+
+ def _handle_approve_tool(self, user_data=None) -> None:
   """UI-level wrapper for approving a pending tool execution ask."""
   self._handle_approve_ask()
 
@@ -293,54 +283,6 @@ class App:
    pass
   self.controller.shutdown()
 
- def save_context_preset(self, name: str) -> None:
-  sys.stderr.write(f"[DEBUG] save_context_preset called with: {name}\n")
-  sys.stderr.flush()
-  if 'context_presets' not in self.controller.project:
-   self.controller.project['context_presets'] = {}
-  self.controller.project['context_presets'][name] = {
-   'files': [f.to_dict() if hasattr(f, 'to_dict') else {'path': str(f)} for f in self.files],
-   'screenshots': list(self.screenshots)
-  }
-  self.controller._save_active_project()
-  sys.stderr.write(f"[DEBUG] save_context_preset finished. Project keys: {list(self.controller.project.keys())}\n")
-  sys.stderr.flush()
-
- def load_context_preset(self, name: str) -> None:
-  presets = self.controller.project.get('context_presets', {})
-  if name in presets:
-   preset = presets[name]
-   self.files = [models.FileItem.from_dict(f) if isinstance(f, dict) else models.FileItem(path=str(f)) for f in preset.get('files', [])]
-   self.screenshots = list(preset.get('screenshots', []))
-
- def delete_context_preset(self, name: str) -> None:
-  if 'context_presets' in self.controller.project:
-   self.controller.project['context_presets'].pop(name, None)
-   self.controller._save_active_project()
- @property
- def ui_file_paths(self) -> list[str]:
-  return [f.path if hasattr(f, 'path') else str(f) for f in self.files]
-
- @ui_file_paths.setter
- def ui_file_paths(self, paths: list[str]) -> None:
-  old_files = {f.path: f for f in self.files if hasattr(f, 'path')}
-  new_files = []
-  now = time.time()
-  for p in paths:
-   if p in old_files:
-    new_files.append(old_files[p])
-   else:
-    new_files.append(models.FileItem(path=p, injected_at=now))
-  self.files = new_files
-
- @property
- def ui_screenshot_paths(self) -> list[str]:
-  return self.screenshots
-
- @ui_screenshot_paths.setter
- def ui_screenshot_paths(self, paths: list[str]) -> None:
-  self.screenshots = paths
-
  def _test_callback_func_write_to_file(self, data: str) -> None:
   """A dummy function that a custom_callback would execute for testing."""
   # Ensure the directory exists if running from a different cwd
@@ -349,9 +291,8 @@ class App:
    f.write(data)
    # ---------------------------------------------------------------- helpers
 
- def _render_text_viewer(self, label: str, content: str, text_type: str = 'text', force_open: bool = False) -> None:
-  self.text_viewer_type = text_type
-  if imgui.button("[+]##" + str(id(content))) or force_open:
+ def _render_text_viewer(self, label: str, content: str) -> None:
+  if imgui.button("[+]##" + str(id(content))):
    self.show_text_viewer = True
    self.text_viewer_title = label
    self.text_viewer_content = content
@@ -361,7 +302,6 @@ class App:
   imgui.same_line()
   if imgui.button("[+]##" + label + id_suffix):
    self.show_text_viewer = True
-   self.text_viewer_type = 'markdown' if label in ('message', 'text', 'content', 'system') else 'json' if label in ('tool_calls', 'data') else 'powershell' if label == 'script' else 'text'
    self.text_viewer_title = label
    self.text_viewer_content = content
   
@@ -376,57 +316,21 @@ class App:
   if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
 
   if len(content) > COMMS_CLAMP_CHARS:
+   imgui.begin_child(f"heavy_text_child_{label}_{id_suffix}", imgui.ImVec2(0, 80), True)
    if is_md:
-    imgui.begin_child(f"heavy_text_child_{label}_{id_suffix}", imgui.ImVec2(0, 180), True, imgui.WindowFlags_.always_vertical_scrollbar)
     markdown_helper.render(content, context_id=ctx_id)
+   else:
+    markdown_helper.render_code(content, context_id=ctx_id)
    imgui.end_child()
-   else:
-    imgui.input_text_multiline(f"##heavy_text_input_{label}_{id_suffix}", content, imgui.ImVec2(-1, 180), imgui.InputTextFlags_.read_only)
   else:
    if is_md:
     markdown_helper.render(content, context_id=ctx_id)
    else:
-    if self.ui_word_wrap:
-     imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
-     imgui.text(content)
-     imgui.pop_text_wrap_pos()
-    else:
-     imgui.text(content)
+    markdown_helper.render_code(content, context_id=ctx_id)
   
   if is_nerv: imgui.pop_style_color()
     # ---------------------------------------------------------------- gui
 
- def _render_thinking_trace(self, segments: list[dict], entry_index: int, is_standalone: bool = False) -> None:
-  if not segments:
-   return
-  imgui.push_style_color(imgui.Col_.child_bg, vec4(40, 35, 25, 180))
-  imgui.push_style_color(imgui.Col_.text, vec4(200, 200, 150))
-  imgui.indent()
-  show_content = True
-  if not is_standalone:
-   header_label = f"Monologue ({len(segments)} traces)###thinking_header_{entry_index}"
-   show_content = imgui.collapsing_header(header_label)
-  
-  if show_content:
-   h = 150 if is_standalone else 100
-   imgui.begin_child(f"thinking_content_{entry_index}", imgui.ImVec2(0, h), True)
-   for idx, seg in enumerate(segments):
-    content = seg.get("content", "")
-    marker = seg.get("marker", "thinking")
-    imgui.push_id(f"think_{entry_index}_{idx}")
-    imgui.text_colored(vec4(180, 150, 80), f"[{marker}]")
-    if self.ui_word_wrap:
-     imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
-     imgui.text_colored(vec4(200, 200, 150), content)
-     imgui.pop_text_wrap_pos()
-    else:
-     imgui.text_colored(vec4(200, 200, 150), content)
-    imgui.pop_id()
-    imgui.separator()
-   imgui.end_child()
-  imgui.unindent()
-  imgui.pop_style_color(2)
-
 
  def _render_selectable_label(self, label: str, value: str, width: float = 0.0, multiline: bool = False, height: float = 0.0, color: Optional[imgui.ImVec4] = None) -> None:
   imgui.push_id(label + str(hash(value)))
@@ -449,6 +353,111 @@ class App:
   imgui.pop_style_var(2)
   imgui.pop_id()
 
+ def _render_frosted_background(self, pos: imgui.ImVec2, size: imgui.ImVec2) -> None:
+  if not theme.get_frosted_glass_enabled(): return
+  if size.x <= 0 or size.y <= 0: return
+  try:
+   ws = immapp.get_window_size()
+   display_size = imgui.ImVec2(float(ws[0]), float(ws[1]))
+  except Exception:
+   display_size = imgui.get_io().display_size
+  
+  if display_size.x <= 0 or display_size.y <= 0: return
+  
+  uv_min = imgui.ImVec2(pos.x / display_size.x, 1.0 - pos.y / display_size.y)
+  uv_max = imgui.ImVec2((pos.x + size.x) / display_size.x, 1.0 - (pos.y + size.y) / display_size.y)
+  
+  if self.shader_manager.blur_tex:
+   imgui.get_window_draw_list().add_image(
+    imgui.ImTextureRef(self.shader_manager.blur_tex),
+    pos,
+    imgui.ImVec2(pos.x + size.x, pos.y + size.y),
+    uv_min,
+    uv_max
+   )
+  else:
+   # Fallback: semi-transparent rectangle to help debug visibility
+   imgui.get_window_draw_list().add_rect_filled(
+    pos,
+    imgui.ImVec2(pos.x + size.x, pos.y + size.y),
+    imgui.get_color_u32(vec4(30, 30, 40, 0.7))
+   )
+
+  # Increase contrast with a 0.2 alpha tint overlay
+  imgui.get_window_draw_list().add_rect_filled(
+   pos,
+   imgui.ImVec2(pos.x + size.x, pos.y + size.y),
+   imgui.get_color_u32(vec4(0, 0, 0, 0.2))
+  )
+
+ def _begin_window(self, name: str, p_open: Any = None, flags: int = 0) -> tuple[bool, Any]:
+  frosted = theme.get_frosted_glass_enabled()
+  if frosted:
+   imgui.push_style_color(imgui.Col_.window_bg, vec4(0, 0, 0, 0))
+  
+  expanded, opened = imgui.begin(name, p_open, flags)
+  
+  if expanded and frosted:
+   self._render_frosted_background(imgui.get_window_pos(), imgui.get_window_size())
+  
+  return expanded, opened
+
+ def _end_window(self) -> None:
+  imgui.end()
+  if theme.get_frosted_glass_enabled():
+   imgui.pop_style_color()
+ def _render_operations_hub(self) -> None:
+  exp, opened = self._begin_window("Operations Hub", self.show_windows["Operations Hub"])
+  self.show_windows["Operations Hub"] = bool(opened)
+  if exp:
+   imgui.text("Focus Agent:")
+   imgui.same_line()
+   focus_label = self.ui_focus_agent or "All"
+   if imgui.begin_combo("##focus_agent", focus_label, imgui.ComboFlags_.width_fit_preview):
+    if imgui.selectable("All", self.ui_focus_agent is None)[0]:
+     self.ui_focus_agent = None
+    for tier in ["Tier 2", "Tier 3", "Tier 4"]:
+     if imgui.selectable(tier, self.ui_focus_agent == tier)[0]:
+      self.ui_focus_agent = tier
+    imgui.end_combo()
+   imgui.same_line()
+   if self.ui_focus_agent:
+    if imgui.button("x##clear_focus"):
+     self.ui_focus_agent = None
+   
+   imgui.push_style_var(imgui.StyleVar_.item_spacing, imgui.ImVec2(10, 4))
+   ch1, self.ui_separate_tool_calls_panel = imgui.checkbox("Pop Out Tool Calls", self.ui_separate_tool_calls_panel)
+   if ch1: self.show_windows["Tool Calls"] = self.ui_separate_tool_calls_panel
+   imgui.same_line()
+   ch2, self.ui_separate_usage_analytics = imgui.checkbox("Pop Out Usage Analytics", self.ui_separate_usage_analytics)
+   if ch2: self.show_windows["Usage Analytics"] = self.ui_separate_usage_analytics
+   imgui.same_line()
+   ch3, self.ui_separate_external_tools = imgui.checkbox('Pop Out External Tools', self.ui_separate_external_tools)
+   if ch3: self.show_windows['External Tools'] = self.ui_separate_external_tools
+   imgui.pop_style_var()
+
+   show_tc_tab = not self.ui_separate_tool_calls_panel
+   show_usage_tab = not self.ui_separate_usage_analytics
+
+   if imgui.begin_tab_bar("ops_tabs"):
+    if imgui.begin_tab_item("Comms History")[0]:
+     self._render_comms_history_panel()
+     imgui.end_tab_item()
+    if show_tc_tab:
+     if imgui.begin_tab_item("Tool Calls")[0]:
+      self._render_tool_calls_panel()
+      imgui.end_tab_item()
+    if show_usage_tab:
+     if imgui.begin_tab_item("Usage Analytics")[0]:
+      self._render_usage_analytics_panel()
+      imgui.end_tab_item()
+    if not self.ui_separate_external_tools:
+     if imgui.begin_tab_item("External Tools")[0]:
+      self._render_external_tools_panel()
+      imgui.end_tab_item()
+    imgui.end_tab_bar()
+  self._end_window()
+
  def _show_menus(self) -> None:
   if imgui.begin_menu("manual slop"):
    if imgui.menu_item("Quit", "Ctrl+Q", False)[0]:
@@ -548,24 +557,55 @@ class App:
     changed_crt, self.shader_uniforms['crt'] = imgui.slider_float('CRT Curvature', self.shader_uniforms['crt'], 0.0, 2.0)
     changed_scan, self.shader_uniforms['scanline'] = imgui.slider_float('Scanline Intensity', self.shader_uniforms['scanline'], 0.0, 1.0)
     changed_bloom, self.shader_uniforms['bloom'] = imgui.slider_float('Bloom Threshold', self.shader_uniforms['bloom'], 0.0, 1.0)
+    
+    imgui.separator()
+    imgui.text("Frosted Glass")
+    changed_fbr, self.shader_uniforms['frosted_blur_radius'] = imgui.slider_float('Blur Radius', self.shader_uniforms['frosted_blur_radius'], 0.0, 64.0)
+    if changed_fbr: theme.set_frosted_blur_radius(self.shader_uniforms['frosted_blur_radius'])
+    
+    changed_fti, self.shader_uniforms['frosted_tint_intensity'] = imgui.slider_float('Tint Intensity', self.shader_uniforms['frosted_tint_intensity'], 0.0, 1.0)
+    if changed_fti: theme.set_frosted_tint_intensity(self.shader_uniforms['frosted_tint_intensity'])
+    
+    changed_fo, self.shader_uniforms['frosted_opacity'] = imgui.slider_float('Frosted Opacity', self.shader_uniforms['frosted_opacity'], 0.0, 1.0)
+    if changed_fo: theme.set_frosted_opacity(self.shader_uniforms['frosted_opacity'])
    imgui.end()
 
  def _gui_func(self) -> None:
   self._render_custom_title_bar()
   self._render_shader_live_editor()
   pushed_prior_tint = False
+  pushed_frosted_style = False
+  
   # Render background shader
   bg = bg_shader.get_bg()
-  if bg.enabled:
+  frosted_enabled = theme.get_frosted_glass_enabled()
+  if bg.enabled and not frosted_enabled:
    ws = imgui.get_io().display_size
    bg.render(ws.x, ws.y)
 
+  if frosted_enabled:
+   ws = imgui.get_io().display_size
+   self.shader_manager.prepare_global_blur(
+    int(ws.x), int(ws.y), 
+    self.shader_uniforms['frosted_blur_radius'],
+    self.shader_uniforms['frosted_tint_intensity'],
+    self.shader_uniforms['frosted_opacity'],
+    time.time()
+   )
+   # Draw background texture
+   dl = imgui.get_background_draw_list()
+   dl.add_image(imgui.ImTextureRef(self.shader_manager.scene_tex), (0, 0), (ws.x, ws.y))
+   
+   imgui.push_style_color(imgui.Col_.window_bg, vec4(0, 0, 0, 0))
+   pushed_frosted_style = True
+
   if theme.is_nerv_active():
    ws = imgui.get_io().display_size
    self._nerv_alert.update(self.ai_status)
    self._nerv_alert.render(ws.x, ws.y)
    self._nerv_crt.enabled = self.ui_crt_filter
    self._nerv_crt.render(ws.x, ws.y)
+
   if self.perf_profiling_enabled: self.perf_monitor.start_component("_gui_func")
   if self.is_viewing_prior_session:
    imgui.push_style_color(imgui.Col_.window_bg, vec4(50, 40, 20))
@@ -638,7 +678,7 @@ class App:
     self._tool_log_dirty = False
    
    if self.show_windows.get("Context Hub", False):
-    exp, opened = imgui.begin("Context Hub", self.show_windows["Context Hub"])
+    exp, opened = self._begin_window("Context Hub", self.show_windows["Context Hub"])
     self.show_windows["Context Hub"] = bool(opened)
     if exp:
      if imgui.begin_tab_bar('context_hub_tabs'):
@@ -648,22 +688,19 @@ class App:
       if imgui.begin_tab_item('Paths')[0]:
        self._render_paths_panel()
        imgui.end_tab_item()
-      if imgui.begin_tab_item('Context Presets')[0]:
-       self._render_context_presets_panel()
-       imgui.end_tab_item()
       imgui.end_tab_bar()
-    imgui.end()
+    self._end_window()
    if self.show_windows.get("Files & Media", False):
-    exp, opened = imgui.begin("Files & Media", self.show_windows["Files & Media"])
+    exp, opened = self._begin_window("Files & Media", self.show_windows["Files & Media"])
     self.show_windows["Files & Media"] = bool(opened)
     if exp:
      if imgui.collapsing_header("Files"):
       self._render_files_panel()
      if imgui.collapsing_header("Screenshots"):
       self._render_screenshots_panel()
-    imgui.end()
+    self._end_window()
    if self.show_windows.get("AI Settings", False):
-    exp, opened = imgui.begin("AI Settings", self.show_windows["AI Settings"])
+    exp, opened = self._begin_window("AI Settings", self.show_windows["AI Settings"])
     self.show_windows["AI Settings"] = bool(opened)
     if exp:
      self._render_persona_selector_panel()
@@ -673,56 +710,56 @@ class App:
       self._render_system_prompts_panel()
      self._render_agent_tools_panel()
 
-    imgui.end()
+    self._end_window()
    if self.ui_separate_usage_analytics and self.show_windows.get("Usage Analytics", False):
-    exp, opened = imgui.begin("Usage Analytics", self.show_windows["Usage Analytics"])
+    exp, opened = self._begin_window("Usage Analytics", self.show_windows["Usage Analytics"])
     self.show_windows["Usage Analytics"] = bool(opened)
     if exp:
      self._render_usage_analytics_panel()
-    imgui.end()
+    self._end_window()
    if self.show_windows.get("MMA Dashboard", False):
-    exp, opened = imgui.begin("MMA Dashboard", self.show_windows["MMA Dashboard"])
+    exp, opened = self._begin_window("MMA Dashboard", self.show_windows["MMA Dashboard"])
     self.show_windows["MMA Dashboard"] = bool(opened)
     if exp:
      if self.perf_profiling_enabled: self.perf_monitor.start_component("_render_mma_dashboard")
      self._render_mma_dashboard()
      if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_mma_dashboard")
-    imgui.end()
+    self._end_window()
 
    if self.ui_separate_task_dag and self.show_windows.get("Task DAG", False):
-    exp, opened = imgui.begin("Task DAG", self.show_windows["Task DAG"])
+    exp, opened = self._begin_window("Task DAG", self.show_windows["Task DAG"])
     self.show_windows["Task DAG"] = bool(opened)
     if exp:
      self._render_task_dag_panel()
-    imgui.end()
+    self._end_window()
    if self.ui_separate_tier1 and self.show_windows.get("Tier 1: Strategy", False):
-    exp, opened = imgui.begin("Tier 1: Strategy", self.show_windows["Tier 1: Strategy"])
+    exp, opened = self._begin_window("Tier 1: Strategy", self.show_windows["Tier 1: Strategy"])
     self.show_windows["Tier 1: Strategy"] = bool(opened)
     if exp:
      self._render_tier_stream_panel("Tier 1", "Tier 1")
-    imgui.end()
+    self._end_window()
    if self.ui_separate_tier2 and self.show_windows.get("Tier 2: Tech Lead", False):
-    exp, opened = imgui.begin("Tier 2: Tech Lead", self.show_windows["Tier 2: Tech Lead"])
+    exp, opened = self._begin_window("Tier 2: Tech Lead", self.show_windows["Tier 2: Tech Lead"])
     self.show_windows["Tier 2: Tech Lead"] = bool(opened)
     if exp:
      self._render_tier_stream_panel("Tier 2", "Tier 2 (Tech Lead)")
-    imgui.end()
+    self._end_window()
    if self.ui_separate_tier3 and self.show_windows.get("Tier 3: Workers", False):
-    exp, opened = imgui.begin("Tier 3: Workers", self.show_windows["Tier 3: Workers"])
+    exp, opened = self._begin_window("Tier 3: Workers", self.show_windows["Tier 3: Workers"])
     self.show_windows["Tier 3: Workers"] = bool(opened)
     if exp:
      self._render_tier_stream_panel("Tier 3", None)
-    imgui.end()
+    self._end_window()
    if self.ui_separate_tier4 and self.show_windows.get("Tier 4: QA", False):
-    exp, opened = imgui.begin("Tier 4: QA", self.show_windows["Tier 4: QA"])
+    exp, opened = self._begin_window("Tier 4: QA", self.show_windows["Tier 4: QA"])
     self.show_windows["Tier 4: QA"] = bool(opened)
     if exp:
      self._render_tier_stream_panel("Tier 4", "Tier 4 (QA)")
-    imgui.end()
+    self._end_window()
    if self.show_windows.get("Theme", False):
     self._render_theme_panel()
    if self.show_windows.get("Discussion Hub", False):
-    exp, opened = imgui.begin("Discussion Hub", self.show_windows["Discussion Hub"])
+    exp, opened = self._begin_window("Discussion Hub", self.show_windows["Discussion Hub"])
     self.show_windows["Discussion Hub"] = bool(opened)
     if exp:
     # Top part for the history
@@ -769,86 +806,37 @@ class App:
      else:
       imgui.text_disabled("Message & Response panels are detached.")
 
-    imgui.end()
+    self._end_window()
    if self.show_windows.get("Operations Hub", False):
-    exp, opened = imgui.begin("Operations Hub", self.show_windows["Operations Hub"])
-    self.show_windows["Operations Hub"] = bool(opened)
-    if exp:
-     imgui.text("Focus Agent:")
-     imgui.same_line()
-     focus_label = self.ui_focus_agent or "All"
-     if imgui.begin_combo("##focus_agent", focus_label, imgui.ComboFlags_.width_fit_preview):
-      if imgui.selectable("All", self.ui_focus_agent is None)[0]:
-       self.ui_focus_agent = None
-      for tier in ["Tier 2", "Tier 3", "Tier 4"]:
-       if imgui.selectable(tier, self.ui_focus_agent == tier)[0]:
-        self.ui_focus_agent = tier
-      imgui.end_combo()
-     imgui.same_line()
-     if self.ui_focus_agent:
-      if imgui.button("x##clear_focus"):
-       self.ui_focus_agent = None
-     if exp:
-      imgui.push_style_var(imgui.StyleVar_.item_spacing, imgui.ImVec2(10, 4))
-      ch1, self.ui_separate_tool_calls_panel = imgui.checkbox("Pop Out Tool Calls", self.ui_separate_tool_calls_panel)
-      if ch1: self.show_windows["Tool Calls"] = self.ui_separate_tool_calls_panel
-      imgui.same_line()
-      ch2, self.ui_separate_usage_analytics = imgui.checkbox("Pop Out Usage Analytics", self.ui_separate_usage_analytics)
-      if ch2: self.show_windows["Usage Analytics"] = self.ui_separate_usage_analytics
-      imgui.same_line()
-      ch3, self.ui_separate_external_tools = imgui.checkbox('Pop Out External Tools', self.ui_separate_external_tools)
-      if ch3: self.show_windows['External Tools'] = self.ui_separate_external_tools
-      imgui.pop_style_var()
-
-      show_tc_tab = not self.ui_separate_tool_calls_panel
-      show_usage_tab = not self.ui_separate_usage_analytics
-
-      if imgui.begin_tab_bar("ops_tabs"):
-       if imgui.begin_tab_item("Comms History")[0]:
-        self._render_comms_history_panel()
-        imgui.end_tab_item()
-       if show_tc_tab:
-        if imgui.begin_tab_item("Tool Calls")[0]:
-         self._render_tool_calls_panel()
-         imgui.end_tab_item()
-       if show_usage_tab:
-        if imgui.begin_tab_item("Usage Analytics")[0]:
-         self._render_usage_analytics_panel()
-         imgui.end_tab_item()
-       if not self.ui_separate_external_tools:
-        if imgui.begin_tab_item("External Tools")[0]:
-         self._render_external_tools_panel()
-         imgui.end_tab_item()
-       imgui.end_tab_bar()
-    imgui.end()
+    self._render_operations_hub()
    
    if self.ui_separate_message_panel and self.show_windows.get("Message", False):
-    exp, opened = imgui.begin("Message", self.show_windows["Message"])
+    exp, opened = self._begin_window("Message", self.show_windows["Message"])
     self.show_windows["Message"] = bool(opened)
     if exp:
      self._render_message_panel()
-    imgui.end()
+    self._end_window()
 
    if self.ui_separate_response_panel and self.show_windows.get("Response", False):
-    exp, opened = imgui.begin("Response", self.show_windows["Response"])
+    exp, opened = self._begin_window("Response", self.show_windows["Response"])
     self.show_windows["Response"] = bool(opened)
     if exp:
      self._render_response_panel()
-    imgui.end()
+    self._end_window()
 
    if self.ui_separate_tool_calls_panel and self.show_windows.get("Tool Calls", False):
-    exp, opened = imgui.begin("Tool Calls", self.show_windows["Tool Calls"])
+    exp, opened = self._begin_window("Tool Calls", self.show_windows["Tool Calls"])
     self.show_windows["Tool Calls"] = bool(opened)
     if exp:
      self._render_tool_calls_panel()
-    imgui.end()
+    self._end_window()
 
    if self.ui_separate_external_tools and self.show_windows.get('External Tools', False):
-    exp, opened = imgui.begin('External Tools', self.show_windows['External Tools'])
+    exp, opened = self._begin_window('External Tools', self.show_windows['External Tools'])
     self.show_windows['External Tools'] = bool(opened)
     if exp:
      self._render_external_tools_panel()
-    imgui.end()
+    self._end_window()
 
    if self.show_windows.get("Log Management", False):
     if self.perf_profiling_enabled: self.perf_monitor.start_component("_render_log_management")
@@ -858,8 +846,6 @@ class App:
    if self.show_windows.get("Diagnostics", False):
     self._render_diagnostics_panel()
 
-   self._render_session_hub()
-
    self.perf_monitor.end_frame()
    # ---- Modals / Popups
    with self._pending_dialog_lock:
@@ -1041,6 +1027,7 @@ class App:
     expanded, opened = imgui.begin("Last Script Output", self.show_script_output)
     self.show_script_output = bool(opened)
     if expanded:
+     self._render_frosted_background(imgui.get_window_pos(), imgui.get_window_size())
      imgui.text("Script:")
      imgui.same_line()
      self._render_text_viewer("Last Script", self.ui_last_script_text)
@@ -1072,35 +1059,8 @@ class App:
     expanded, opened = imgui.begin(f"Text Viewer - {self.text_viewer_title}", self.show_text_viewer)
     self.show_text_viewer = bool(opened)
     if expanded:
-     # Toolbar
-     if imgui.button("Copy"):
-      imgui.set_clipboard_text(self.text_viewer_content)
-     imgui.same_line()
-     _, self.text_viewer_wrap = imgui.checkbox("Word Wrap", self.text_viewer_wrap)
-     imgui.separator()
-
-     renderer = markdown_helper.get_renderer()
-     tv_type = getattr(self, "text_viewer_type", "text")
-     
-     if tv_type == 'markdown':
-      imgui.begin_child("tv_md_scroll", imgui.ImVec2(-1, -1), True)
-      markdown_helper.render(self.text_viewer_content, context_id='text_viewer')
-      imgui.end_child()
-     elif tv_type in renderer._lang_map:
-      if self._text_viewer_editor is None:
-       self._text_viewer_editor = ced.TextEditor()
-       self._text_viewer_editor.set_read_only_enabled(True)
-       self._text_viewer_editor.set_show_line_numbers_enabled(True)
-      
-      # Sync text and language
-      lang_id = renderer._lang_map[tv_type]
-      if self._text_viewer_editor.get_text().strip() != self.text_viewer_content.strip():
-       self._text_viewer_editor.set_text(self.text_viewer_content)
-      self._text_viewer_editor.set_language_definition(lang_id)
-      
-      self._text_viewer_editor.render('##tv_editor', a_size=imgui.ImVec2(-1, -1))
-     else:
-      if self.text_viewer_wrap:
+     self._render_frosted_background(imgui.get_window_pos(), imgui.get_window_size())
+     if self.ui_word_wrap:
       imgui.begin_child("tv_wrap", imgui.ImVec2(-1, -1), False)
       imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
       imgui.text(self.text_viewer_content)
@@ -1159,6 +1119,8 @@ class App:
   
   if pushed_prior_tint:
    imgui.pop_style_color()
+  if pushed_frosted_style:
+   imgui.pop_style_color()
   
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_gui_func")
 
@@ -1241,13 +1203,15 @@ class App:
     imgui.separator()
     imgui.text("Prompt Content:")
     imgui.same_line()
-    if imgui.button("Pop out MD Preview"):
-     self.text_viewer_title = f"Preset: {self._editing_preset_name}"
-     self.text_viewer_content = self._editing_preset_system_prompt
-     self.text_viewer_type = "markdown"
-     self.show_text_viewer = True
+    if imgui.button("MD Preview" if not self._prompt_md_preview else "Edit Mode"):
+     self._prompt_md_preview = not self._prompt_md_preview
     
     rem_y = imgui.get_content_region_avail().y
+    if self._prompt_md_preview:
+     if imgui.begin_child("prompt_preview", imgui.ImVec2(-1, rem_y), True):
+      markdown_helper.render(self._editing_preset_system_prompt, context_id="prompt_preset_preview")
+      imgui.end_child()
+    else:
      _, self._editing_preset_system_prompt = imgui.input_text_multiline("##pcont", self._editing_preset_system_prompt, imgui.ImVec2(-1, rem_y))
     imgui.end_child()
 
@@ -1486,7 +1450,6 @@ class App:
     if imgui.button("New Persona", imgui.ImVec2(-1, 0)):
      self._editing_persona_name = ""; self._editing_persona_system_prompt = ""
      self._editing_persona_tool_preset_id = ""; self._editing_persona_bias_profile_id = ""
-     self._editing_persona_context_preset_id = ""
      self._editing_persona_preferred_models_list = [{"provider": self.current_provider, "model": self.current_model, "temperature": 0.7, "top_p": 1.0, "max_output_tokens": 4096, "history_trunc_limit": 900000}]
      self._editing_persona_scope = "project"; self._editing_persona_is_new = True
     imgui.separator()
@@ -1495,7 +1458,6 @@ class App:
      if name and imgui.selectable(f"{name}##p_list", name == self._editing_persona_name and not getattr(self, '_editing_persona_is_new', False))[0]:
       p = personas[name]; self._editing_persona_name = p.name; self._editing_persona_system_prompt = p.system_prompt or ""
       self._editing_persona_tool_preset_id = p.tool_preset or ""; self._editing_persona_bias_profile_id = p.bias_profile or ""
-      self._editing_persona_context_preset_id = getattr(p, 'context_preset', '') or ""
       import copy; self._editing_persona_preferred_models_list = copy.deepcopy(p.preferred_models) if p.preferred_models else []
       self._editing_persona_scope = self.controller.persona_manager.get_persona_scope(p.name); self._editing_persona_is_new = False
     imgui.end_child()
@@ -1581,10 +1543,6 @@ class App:
      imgui.table_next_column(); imgui.text("Bias Profile:"); bn = ["None"] + sorted(self.controller.bias_profiles.keys())
      b_idx = bn.index(self._editing_persona_bias_profile_id) if getattr(self, '_editing_persona_bias_profile_id', '') in bn else 0
      imgui.set_next_item_width(-1); _, b_idx = imgui.combo("##pbp", b_idx, bn); self._editing_persona_bias_profile_id = bn[b_idx] if b_idx > 0 else ""
-     imgui.table_next_row()
-     imgui.table_next_column(); imgui.text("Context Preset:"); cn = ["None"] + sorted(self.controller.project.get("context_presets", {}).keys())
-     c_idx = cn.index(self._editing_persona_context_preset_id) if getattr(self, '_editing_persona_context_preset_id', '') in cn else 0
-     imgui.set_next_item_width(-1); _, c_idx = imgui.combo("##pcp", c_idx, cn); self._editing_persona_context_preset_id = cn[c_idx] if c_idx > 0 else ""
      imgui.end_table()
     
     if imgui.button("Manage Tools & Biases", imgui.ImVec2(-1, 0)): self.show_tool_preset_manager_window = True
@@ -1612,7 +1570,7 @@ class App:
    if imgui.button("Save##pers", imgui.ImVec2(100, 0)):
     if self._editing_persona_name.strip():
      try:
-      import copy; persona = models.Persona(name=self._editing_persona_name.strip(), system_prompt=self._editing_persona_system_prompt, tool_preset=self._editing_persona_tool_preset_id or None, bias_profile=self._editing_persona_bias_profile_id or None, context_preset=self._editing_persona_context_preset_id or None, preferred_models=copy.deepcopy(self._editing_persona_preferred_models_list))
+      import copy; persona = models.Persona(name=self._editing_persona_name.strip(), system_prompt=self._editing_persona_system_prompt, tool_preset=self._editing_persona_tool_preset_id or None, bias_profile=self._editing_persona_bias_profile_id or None, preferred_models=copy.deepcopy(self._editing_persona_preferred_models_list))
       self.controller._cb_save_persona(persona, getattr(self, '_editing_persona_scope', 'project')); self.ai_status = f"Saved: {persona.name}"
      except Exception as e: self.ai_status = f"Error: {e}"
     else: self.ai_status = "Name required"
@@ -1770,30 +1728,6 @@ class App:
    self.ai_status = "paths reset to defaults"
 
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_paths_panel")
-
- def _render_context_presets_panel(self) -> None:
-  imgui.text_colored(C_IN, "Context Presets")
-  imgui.separator()
-  changed, new_name = imgui.input_text("Preset Name##new_ctx", self.ui_new_context_preset_name)
-  if changed: self.ui_new_context_preset_name = new_name
-  imgui.same_line()
-  if imgui.button("Save Current"):
-   if self.ui_new_context_preset_name.strip():
-    self.save_context_preset(self.ui_new_context_preset_name.strip())
-  
-  imgui.separator()
-  presets = self.controller.project.get('context_presets', {})
-  for name in sorted(presets.keys()):
-   preset = presets[name]
-   n_files = len(preset.get('files', []))
-   n_shots = len(preset.get('screenshots', []))
-   imgui.text(f"{name} ({n_files} files, {n_shots} shots)")
-   imgui.same_line()
-   if imgui.button(f"Load##{name}"):
-    self.load_context_preset(name)
-   imgui.same_line()
-   if imgui.button(f"Delete##{name}"):
-    self.delete_context_preset(name)
  def _render_track_proposal_modal(self) -> None:
   if self._show_track_proposal_modal:
    imgui.open_popup("Track Proposal")
@@ -2073,7 +2007,6 @@ class App:
     imgui.text(f"History: {key}")
     hist_data = self.perf_monitor.get_history(key)
     if hist_data:
-     import numpy as np
      imgui.plot_lines(f"##plot_{key}", np.array(hist_data, dtype=np.float32), graph_size=imgui.ImVec2(-1, 60))
     else:
      imgui.text_disabled(f"(no history data for {key})")
@@ -2098,29 +2031,6 @@ class App:
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_diagnostics_panel")
   imgui.end()
 
- def _render_session_hub(self) -> None:
-  if self.show_windows.get('Session Hub', False):
-   exp, opened = imgui.begin('Session Hub', self.show_windows['Session Hub'])
-   self.show_windows['Session Hub'] = bool(opened)
-   if exp:
-    if imgui.begin_tab_bar('session_hub_tabs'):
-     if imgui.begin_tab_item('Aggregate MD')[0]:
-      if imgui.button("Copy"):
-       imgui.set_clipboard_text(self.last_aggregate_markdown)
-      imgui.begin_child("last_agg_md", imgui.ImVec2(0, 0), True)
-      markdown_helper.render(self.last_aggregate_markdown, context_id="session_hub_agg")
-      imgui.end_child()
-      imgui.end_tab_item()
-     if imgui.begin_tab_item('System Prompt')[0]:
-      if imgui.button("Copy"):
-       imgui.set_clipboard_text(self.last_resolved_system_prompt)
-      imgui.begin_child("last_sys_prompt", imgui.ImVec2(0, 0), True)
-      markdown_helper.render(self.last_resolved_system_prompt, context_id="session_hub_sys")
-      imgui.end_child()
-      imgui.end_tab_item()
-     imgui.end_tab_bar()
-   imgui.end()
-
  def _render_markdown_test(self) -> None:
   imgui.text("Markdown Test Panel")
   imgui.separator()
@@ -2244,6 +2154,7 @@ def hello():
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_screenshots_panel")
 
  def _render_discussion_panel(self) -> None:
+  self._render_frosted_background(imgui.get_window_pos(), imgui.get_window_size())
   if self.perf_profiling_enabled: self.perf_monitor.start_component("_render_discussion_panel")
  # THINKING indicator
   is_thinking = self.ai_status in ['sending...', 'streaming...', 'running powershell...']
@@ -2431,22 +2342,6 @@ def hello():
      if ts_str:
       imgui.same_line()
       imgui.text_colored(vec4(120, 120, 100), str(ts_str))
-      # Visual indicator for file injections
-      e_dt = project_manager.parse_ts(ts_str)
-      if e_dt:
-       e_unix = e_dt.timestamp()
-       next_unix = float('inf')
-       if i + 1 < len(self.disc_entries):
-        n_ts = self.disc_entries[i+1].get("ts", "")
-        n_dt = project_manager.parse_ts(n_ts)
-        if n_dt: next_unix = n_dt.timestamp()
-       injected_here = [f for f in self.files if hasattr(f, 'injected_at') and f.injected_at and e_unix <= f.injected_at < next_unix]
-       if injected_here:
-        imgui.same_line()
-        imgui.text_colored(vec4(100, 255, 100), f"[{len(injected_here)}+]")
-        if imgui.is_item_hovered():
-         tooltip = "Files injected at this point:\n" + "\n".join([f.path for f in injected_here])
-         imgui.set_tooltip(tooltip)
      if collapsed:
       imgui.same_line()
       if imgui.button("Ins"):
@@ -2459,19 +2354,10 @@ def hello():
       imgui.same_line()
       preview = entry["content"].replace("\\n", " ")[:60]
       if len(entry["content"]) > 60: preview += "..."
-      if not preview.strip() and entry.get("thinking_segments"):
-       preview = entry["thinking_segments"][0]["content"].replace("\\n", " ")[:60]
-       if len(entry["thinking_segments"][0]["content"]) > 60: preview += "..."
       imgui.text_colored(vec4(160, 160, 150), preview)
      if not collapsed:
-      thinking_segments = entry.get("thinking_segments", [])
-      has_content = bool(entry.get("content", "").strip())
-      is_standalone = bool(thinking_segments) and not has_content
-      if thinking_segments:
-       self._render_thinking_trace(thinking_segments, i, is_standalone=is_standalone)
       if read_mode:
        content = entry["content"]
-       if content.strip():
        pattern = re.compile(r"\[Definition: (.*?) from (.*?) \(line (\d+)\)\](\s+```[\s\S]*?```)?")
        matches = list(pattern.finditer(content))
        is_nerv = theme.is_nerv_active()
@@ -2498,9 +2384,9 @@ def hello():
            if res:
             self.text_viewer_title = path
             self.text_viewer_content = res
-             self.text_viewer_type = Path(path).suffix.lstrip('.') if Path(path).suffix else 'text'
             self.show_text_viewer = True
           if code_block:
+           # Render code block with highlighting
            if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
            markdown_helper.render(code_block, context_id=f'disc_{i}_c_{m_idx}')
            if is_nerv: imgui.pop_style_color()
@@ -2513,7 +2399,6 @@ def hello():
         if self.ui_word_wrap: imgui.pop_text_wrap_pos()
         imgui.end_child()
       else:
-       if not is_standalone:
        ch, entry["content"] = imgui.input_text_multiline("##content", entry["content"], imgui.ImVec2(-1, 150))
      imgui.separator()
      imgui.pop_id()
@@ -2540,7 +2425,6 @@ def hello():
       self._editing_persona_system_prompt = persona.system_prompt or ""
       self._editing_persona_tool_preset_id = persona.tool_preset or ""
       self._editing_persona_bias_profile_id = persona.bias_profile or ""
-      self._editing_persona_context_preset_id = getattr(persona, 'context_preset', '') or ""
       import copy
       self._editing_persona_preferred_models_list = copy.deepcopy(persona.preferred_models) if persona.preferred_models else []
       self._editing_persona_is_new = False
@@ -2569,9 +2453,6 @@ def hello():
       if persona.bias_profile:
        self.ui_active_bias_profile = persona.bias_profile
        ai_client.set_bias_profile(persona.bias_profile)
-      if getattr(persona, 'context_preset', None):
-       self.ui_active_context_preset = persona.context_preset
-       self.load_context_preset(persona.context_preset)
    imgui.end_combo()
   imgui.same_line()
   if imgui.button("Manage Personas"):
@@ -2952,24 +2833,14 @@ def hello():
   imgui.begin_child("response_scroll_area", imgui.ImVec2(0, -40), True)
   is_nerv = theme.is_nerv_active()
   if is_nerv: imgui.push_style_color(imgui.Col_.text, vec4(80, 255, 80))
-  
-  segments, parsed_response = thinking_parser.parse_thinking_trace(self.ai_response)
-  if segments:
-   self._render_thinking_trace([{"content": s.content, "marker": s.marker} for s in segments], 9999)
-  
-  markdown_helper.render(parsed_response, context_id="response")
-  
+  markdown_helper.render(self.ai_response, context_id="response")
   if is_nerv: imgui.pop_style_color()
   imgui.end_child()
   
   imgui.separator()
   if imgui.button("-> History"):
    if self.ai_response:
-    segments, response = thinking_parser.parse_thinking_trace(self.ai_response)
-    entry = {"role": "AI", "content": response, "collapsed": True, "ts": project_manager.now_ts()}
-    if segments:
-     entry["thinking_segments"] = [{"content": s.content, "marker": s.marker} for s in segments]
-    self.disc_entries.append(entry)
+    self.disc_entries.append({"role": "AI", "content": self.ai_response, "collapsed": True, "ts": project_manager.now_ts()})
   if is_blinking:
    imgui.pop_style_color(2)
   if self.perf_profiling_enabled: self.perf_monitor.end_component("_render_response_panel")
@@ -3085,12 +2956,6 @@ def hello():
     imgui.text_colored(C_LBL, f"#{i_display}")
     imgui.same_line()
     imgui.text_colored(vec4(160, 160, 160), ts)
-    
-    latency = entry.get("latency") or entry.get("metadata", {}).get("latency")
-    if latency:
-     imgui.same_line()
-     imgui.text_colored(C_SUB, f" ({latency:.2f}s)")
-
     ticket_id = entry.get("mma_ticket_id")
     if ticket_id:
      imgui.same_line()
@@ -3109,34 +2974,14 @@ def hello():
     # Optimized content rendering using _render_heavy_text logic
     idx_str = str(i)
     if kind == "request":
-     usage = payload.get("usage", {})
-     if usage:
-      inp = usage.get("input_tokens", 0)
-      imgui.text_colored(C_LBL, f" tokens in:{inp}")
      self._render_heavy_text("message", payload.get("message", ""), idx_str)
      if payload.get("system"):
       self._render_heavy_text("system", payload.get("system", ""), idx_str)
     elif kind == "response":
      r = payload.get("round", 0)
      sr = payload.get("stop_reason", "STOP")
-     usage = payload.get("usage", {})
-     usage_str = ""
-     if usage:
-      inp = usage.get("input_tokens", 0)
-      out = usage.get("output_tokens", 0)
-      cache = usage.get("cache_read_input_tokens", 0)
-      usage_str = f" in:{inp} out:{out}"
-      if cache:
-       usage_str += f" cache:{cache}"
-     imgui.text_colored(C_LBL, f"round: {r} stop_reason: {sr}{usage_str}")
-     
-     text_content = payload.get("text", "")
-     segments, parsed_response = thinking_parser.parse_thinking_trace(text_content)
-     if segments:
-      self._render_thinking_trace([{"content": s.content, "marker": s.marker} for s in segments], i, is_standalone=not bool(parsed_response.strip()))
-     if parsed_response:
-      self._render_heavy_text("text", parsed_response, idx_str)
-     
+     imgui.text_colored(C_LBL, f"round: {r} stop_reason: {sr}")
+     self._render_heavy_text("text", payload.get("text", ""), idx_str)
      tcs = payload.get("tool_calls", [])
      if tcs:
       self._render_heavy_text("tool_calls", json.dumps(tcs, indent=1), idx_str)
@@ -3196,7 +3041,7 @@ def hello():
      script = entry.get("script", "")
      res = entry.get("result", "")
      # Use a clear, formatted combined view for the detail window
-     combined = f"**COMMAND:**\n```powershell\n{script}\n```\n\n---\n**OUTPUT:**\n```text\n{res}\n```"
+     combined = f"COMMAND:\n{script}\n\n{'='*40}\nOUTPUT:\n{res}"
      
      script_preview = script.replace("\n", " ")[:150]
      if len(script) > 150: script_preview += "..."
@@ -3204,7 +3049,6 @@ def hello():
      if imgui.is_item_clicked():
       self.text_viewer_title = f"Tool Call #{i+1} Details"
       self.text_viewer_content = combined
-      self.text_viewer_type = 'markdown'
       self.show_text_viewer = True
      
      imgui.table_next_column()
@@ -3214,7 +3058,6 @@ def hello():
      if imgui.is_item_clicked():
       self.text_viewer_title = f"Tool Call #{i+1} Details"
       self.text_viewer_content = combined
-      self.text_viewer_type = 'markdown'
       self.show_text_viewer = True
       
    imgui.end_table()
@@ -4135,6 +3978,7 @@ def hello():
   exp, opened = imgui.begin("Theme", self.show_windows["Theme"])
   self.show_windows["Theme"] = bool(opened)
   if exp:
+   self._render_frosted_background(imgui.get_window_pos(), imgui.get_window_size())
    imgui.text("Palette")
    cp = theme.get_current_palette()
    if imgui.begin_combo("##pal", cp):
@@ -4208,6 +4052,10 @@ def hello():
     gui_cfg["crt_filter_enabled"] = self.ui_crt_filter
     self._flush_to_config()
     models.save_config(self.config)
+   
+   ch_fg, fg_val = imgui.checkbox("Frosted Glass Effect", theme.get_frosted_glass_enabled())
+   if ch_fg:
+    theme.set_frosted_glass_enabled(fg_val)
     self._flush_to_config()
     models.save_config(self.config)
   imgui.end()
@@ -4253,6 +4101,8 @@ def hello():
 
  def _post_init(self) -> None:
   theme.apply_current()
+  self.shader_manager.setup_background_shader()
+  self.shader_manager.setup_frosted_glass_shader()
 
  def run(self) -> None:
   """Initializes the ImGui runner and starts the main application loop."""

src/models.py

@@ -111,7 +111,6 @@ DEFAULT_TOOL_CATEGORIES: Dict[str, List[str]] = {
 
 def parse_history_entries(history_strings: list[str], roles: list[str]) -> list[dict[str, Any]]:
  import re
- from src import thinking_parser
  entries = []
  for raw in history_strings:
   ts = ""
@@ -129,30 +128,11 @@ def parse_history_entries(history_strings: list[str], roles: list[str]) -> list[
    content = rest[match.end():].strip()
   else:
    content = rest
-   
-  entry_obj = {"role": role, "content": content, "collapsed": True, "ts": ts}
-  if role == "AI" and ("<thinking>" in content or "<thought>" in content or "Thinking:" in content):
-   segments, parsed_content = thinking_parser.parse_thinking_trace(content)
-   if segments:
-    entry_obj["content"] = parsed_content
-    entry_obj["thinking_segments"] = [{"content": s.content, "marker": s.marker} for s in segments]
-    
-  entries.append(entry_obj)
+  entries.append({"role": role, "content": content, "collapsed": True, "ts": ts})
  return entries
 
 @dataclass
-class ThinkingSegment:
- content: str
- marker: str # 'thinking', 'thought', or 'Thinking:'
-
- def to_dict(self) -> Dict[str, Any]:
-  return {"content": self.content, "marker": self.marker}
-
- @classmethod
- def from_dict(cls, data: Dict[str, Any]) -> "ThinkingSegment":
-  return cls(content=data["content"], marker=data["marker"])
-
-
+@dataclass
 @dataclass
 class Ticket:
  id: str
@@ -259,6 +239,8 @@ class Track:
   )
 
 
+@dataclass
+@dataclass
 @dataclass
 class WorkerContext:
  ticket_id: str
@@ -357,14 +339,12 @@ class FileItem:
  path: str
  auto_aggregate: bool = True
  force_full: bool = False
- injected_at: Optional[float] = None
 
  def to_dict(self) -> Dict[str, Any]:
   return {
    "path": self.path,
    "auto_aggregate": self.auto_aggregate,
    "force_full": self.force_full,
-   "injected_at": self.injected_at,
   }
 
  @classmethod
@@ -373,7 +353,6 @@ class FileItem:
    path=data["path"],
    auto_aggregate=data.get("auto_aggregate", True),
    force_full=data.get("force_full", False),
-   injected_at=data.get("injected_at"),
   )
 
 @dataclass
@@ -469,7 +448,6 @@ class Persona:
  system_prompt: str = ''
  tool_preset: Optional[str] = None
  bias_profile: Optional[str] = None
- context_preset: Optional[str] = None
 
  @property
  def provider(self) -> Optional[str]:
@@ -512,8 +490,6 @@ class Persona:
    res["tool_preset"] = self.tool_preset
   if self.bias_profile is not None:
    res["bias_profile"] = self.bias_profile
-  if self.context_preset is not None:
-   res["context_preset"] = self.context_preset
   return res
 
  @classmethod
@@ -547,8 +523,8 @@ class Persona:
    system_prompt=data.get("system_prompt", ""),
    tool_preset=data.get("tool_preset"),
    bias_profile=data.get("bias_profile"),
-   context_preset=data.get("context_preset"),
   )
+
 @dataclass
 class MCPServerConfig:
  name: str

src/project_manager.py

@@ -33,14 +33,6 @@ def entry_to_str(entry: dict[str, Any]) -> str:
  ts = entry.get("ts", "")
  role = entry.get("role", "User")
  content = entry.get("content", "")
- 
- segments = entry.get("thinking_segments")
- if segments:
-  for s in segments:
-   marker = s.get("marker", "thinking")
-   s_content = s.get("content", "")
-   content = f"<{marker}>\n{s_content}\n</{marker}>\n{content}"
-   
  if ts:
   return f"@{ts}\n{role}:\n{content}"
  return f"{role}:\n{content}"
@@ -101,7 +93,6 @@ def default_project(name: str = "unnamed") -> dict[str, Any]:
   "output":      {"output_dir": "./md_gen"},
   "files":       {"base_dir": ".", "paths": [], "tier_assignments": {}},
   "screenshots": {"base_dir": ".", "paths": []},
-  "context_presets": {},
   "gemini_cli":  {"binary_path": "gemini"},
   "deepseek":    {"reasoning_effort": "medium"},
   "agent":       {
@@ -249,27 +240,6 @@ def flat_config(proj: dict[str, Any], disc_name: Optional[str] = None, track_id:
    "history": history,
   },
  }
- # ── context presets ──────────────────────────────────────────────────────────
-
-def save_context_preset(project_dict: dict, preset_name: str, files: list[str], screenshots: list[str]) -> None:
- """Save a named context preset (files + screenshots) into the project dict."""
- if "context_presets" not in project_dict:
-  project_dict["context_presets"] = {}
- project_dict["context_presets"][preset_name] = {
-  "files": files,
-  "screenshots": screenshots
- }
-
-def load_context_preset(project_dict: dict, preset_name: str) -> dict:
- """Return the files and screenshots for a named preset."""
- if "context_presets" not in project_dict or preset_name not in project_dict["context_presets"]:
-  raise KeyError(f"Preset '{preset_name}' not found in project context_presets.")
- return project_dict["context_presets"][preset_name]
-
-def delete_context_preset(project_dict: dict, preset_name: str) -> None:
- """Remove a named preset if it exists."""
- if "context_presets" in project_dict:
-  project_dict["context_presets"].pop(preset_name, None)
  # ── track state persistence ─────────────────────────────────────────────────
 
 def save_track_state(track_id: str, state: 'TrackState', base_dir: Union[str, Path] = ".") -> None:

src/shader_manager.py

@@ -5,6 +5,113 @@ class ShaderManager:
   self.program = None
   self.bg_program = None
   self.pp_program = None
+  self.blur_h_program = None
+  self.blur_v_program = None
+  self.blur_fbo = None
+  self.scene_fbo = None
+  self.temp_fbo = None
+  self.scene_tex = None
+  self.blur_tex = None
+  self.temp_tex = None
+  self.fbo_width = 0
+  self.fbo_height = 0
+  self._vao = None
+
+ def _ensure_vao(self):
+  if self._vao is None:
+   try:
+    import sys
+    if sys.platform == "win32":
+     self._vao = gl.glGenVertexArrays(1)
+    else:
+     # Some non-win32 environments might not support VAOs or need different handling
+     self._vao = gl.glGenVertexArrays(1)
+   except Exception:
+    pass
+  if self._vao is not None:
+   gl.glBindVertexArray(self._vao)
+
+ def setup_capture_fbo(self, width, height):
+  if self.blur_fbo is not None:
+   gl.glDeleteFramebuffers(1, [self.blur_fbo])
+  if self.scene_fbo is not None:
+   gl.glDeleteFramebuffers(1, [self.scene_fbo])
+  if self.temp_fbo is not None:
+   gl.glDeleteFramebuffers(1, [self.temp_fbo])
+  if self.scene_tex is not None:
+   gl.glDeleteTextures(1, [self.scene_tex])
+  if self.blur_tex is not None:
+   gl.glDeleteTextures(1, [self.blur_tex])
+  if self.temp_tex is not None:
+   gl.glDeleteTextures(1, [self.temp_tex])
+  
+  self.scene_tex = gl.glGenTextures(1)
+  gl.glBindTexture(gl.GL_TEXTURE_2D, self.scene_tex)
+  gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGBA, width, height, 0, gl.GL_RGBA, gl.GL_UNSIGNED_BYTE, None)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP_TO_EDGE)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP_TO_EDGE)
+  
+  self.scene_fbo = gl.glGenFramebuffers(1)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.scene_fbo)
+  gl.glFramebufferTexture2D(gl.GL_FRAMEBUFFER, gl.GL_COLOR_ATTACHMENT0, gl.GL_TEXTURE_2D, self.scene_tex, 0)
+  if gl.glCheckFramebufferStatus(gl.GL_FRAMEBUFFER) != gl.GL_FRAMEBUFFER_COMPLETE:
+   raise RuntimeError("Scene Framebuffer not complete")
+
+  self.temp_tex = gl.glGenTextures(1)
+  gl.glBindTexture(gl.GL_TEXTURE_2D, self.temp_tex)
+  gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGBA, width, height, 0, gl.GL_RGBA, gl.GL_UNSIGNED_BYTE, None)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP_TO_EDGE)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP_TO_EDGE)
+
+  self.temp_fbo = gl.glGenFramebuffers(1)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.temp_fbo)
+  gl.glFramebufferTexture2D(gl.GL_FRAMEBUFFER, gl.GL_COLOR_ATTACHMENT0, gl.GL_TEXTURE_2D, self.temp_tex, 0)
+  if gl.glCheckFramebufferStatus(gl.GL_FRAMEBUFFER) != gl.GL_FRAMEBUFFER_COMPLETE:
+   raise RuntimeError("Temp Framebuffer not complete")
+
+  self.blur_tex = gl.glGenTextures(1)
+  gl.glBindTexture(gl.GL_TEXTURE_2D, self.blur_tex)
+  gl.glTexImage2D(gl.GL_TEXTURE_2D, 0, gl.GL_RGBA, width, height, 0, gl.GL_RGBA, gl.GL_UNSIGNED_BYTE, None)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MIN_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_MAG_FILTER, gl.GL_LINEAR)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_S, gl.GL_CLAMP_TO_EDGE)
+  gl.glTexParameteri(gl.GL_TEXTURE_2D, gl.GL_TEXTURE_WRAP_T, gl.GL_CLAMP_TO_EDGE)
+
+  self.blur_fbo = gl.glGenFramebuffers(1)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.blur_fbo)
+  gl.glFramebufferTexture2D(gl.GL_FRAMEBUFFER, gl.GL_COLOR_ATTACHMENT0, gl.GL_TEXTURE_2D, self.blur_tex, 0)
+  if gl.glCheckFramebufferStatus(gl.GL_FRAMEBUFFER) != gl.GL_FRAMEBUFFER_COMPLETE:
+   raise RuntimeError("Blur Framebuffer not complete")
+
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, 0)
+  self.fbo_width = width
+  self.fbo_height = height
+
+ def render_background_to_fbo(self, width, height, time):
+  if self.scene_fbo is None or self.fbo_width != width or self.fbo_height != height:
+   self.setup_capture_fbo(width, height)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.scene_fbo)
+  gl.glViewport(0, 0, width, height)
+  self.render_background(width, height, time)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, 0)
+
+ def prepare_global_blur(self, width, height, radius, tint, opacity, time):
+  self.render_background_to_fbo(width, height, time)
+  self.render_blur(self.scene_tex, width, height, radius, tint, opacity)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, 0)
+
+ def capture_begin(self, width, height):
+  if self.blur_fbo is None or self.fbo_width != width or self.fbo_height != height:
+   self.setup_capture_fbo(width, height)
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.blur_fbo)
+  gl.glViewport(0, 0, width, height)
+
+ def capture_end(self):
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, 0)
 
  def compile_shader(self, vertex_src: str, fragment_src: str) -> int:
   program = gl.glCreateProgram()
@@ -79,9 +186,44 @@ void main() {
 uniform float u_time;
 uniform vec2 u_resolution;
 out vec4 FragColor;
+
+float hash(vec2 p) {
+ return fract(sin(dot(p, vec2(127.1, 311.7))) * 43758.5453123);
+}
+
+float noise(vec2 p) {
+ vec2 i = floor(p);
+ vec2 f = fract(p);
+ vec2 u = f * f * (3.0 - 2.0 * f);
+ return mix(mix(hash(i + vec2(0.0, 0.0)), hash(i + vec2(1.0, 0.0)), u.x),
+      mix(hash(i + vec2(0.0, 1.0)), hash(i + vec2(1.0, 1.0)), u.x), u.y);
+}
+
 void main() {
  vec2 uv = gl_FragCoord.xy / u_resolution.xy;
- vec3 col = 0.5 + 0.5 * cos(u_time + uv.xyx + vec3(0, 2, 4));
+ vec2 p = uv * 2.0 - 1.0;
+ p.x *= u_resolution.x / u_resolution.y;
+ 
+ // Deep sea background gradient (dark blue)
+ vec3 col = mix(vec3(0.01, 0.03, 0.08), vec3(0.0, 0.08, 0.15), uv.y);
+ 
+ // Moving blobs / caustics
+ float n = 0.0;
+ float t = u_time * 0.15;
+ n += noise(p * 1.2 + vec2(t * 0.8, t * 0.5)) * 0.4;
+ n += noise(p * 2.5 - vec2(t * 0.4, t * 0.9)) * 0.2;
+ 
+ col += vec3(0.05, 0.12, 0.22) * n;
+ 
+ // Bright highlights (caustics approximation)
+ float c = 0.0;
+ for(int i=0; i<3; i++) {
+  vec2 p2 = p * (float(i) + 1.0) * 0.4;
+  p2 += vec2(sin(t + p2.y * 1.5), cos(t + p2.x * 1.5));
+  c += abs(0.015 / (length(p2) - 0.4));
+ }
+ col += vec3(0.1, 0.25, 0.45) * c * 0.12;
+ 
  FragColor = vec4(col, 1.0);
 }
 """
@@ -97,6 +239,7 @@ void main() {
   u_res_loc = gl.glGetUniformLocation(self.bg_program, "u_resolution")
   if u_res_loc != -1:
    gl.glUniform2f(u_res_loc, float(width), float(height))
+  self._ensure_vao()
   gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
   gl.glUseProgram(0)
 
@@ -148,6 +291,114 @@ void main() {
   u_time_loc = gl.glGetUniformLocation(self.pp_program, "u_time")
   if u_time_loc != -1:
    gl.glUniform1f(u_time_loc, float(time))
+  self._ensure_vao()
   gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
   gl.glBindTexture(gl.GL_TEXTURE_2D, 0)
   gl.glUseProgram(0)
+
+ def setup_frosted_glass_shader(self):
+  vertex_src = """
+#version 330 core
+const vec2 positions[4] = vec2[](
+ vec2(-1.0, -1.0),
+ vec2( 1.0, -1.0),
+ vec2(-1.0,  1.0),
+ vec2( 1.0,  1.0)
+);
+const vec2 uvs[4] = vec2[](
+ vec2(0.0, 0.0),
+ vec2(1.0, 0.0),
+ vec2(0.0, 1.0),
+ vec2(1.0, 1.0)
+);
+out vec2 v_uv;
+void main() {
+ gl_Position = vec4(positions[gl_VertexID], 0.0, 1.0);
+ v_uv = uvs[gl_VertexID];
+}
+"""
+  fragment_src_h = """
+#version 330 core
+in vec2 v_uv;
+uniform sampler2D u_texture;
+uniform float u_blur_radius;
+uniform vec2 u_direction;
+out vec4 FragColor;
+void main() {
+ float weight[5] = float[](0.227027, 0.1945946, 0.1216216, 0.054054, 0.016216);
+ vec2 res = vec2(textureSize(u_texture, 0));
+ vec2 tex_offset = (u_blur_radius / res) * u_direction * 2.5; // Multiplied by 2.5 for milky effect
+ vec4 result = texture(u_texture, v_uv) * weight[0];
+ for(int i = 1; i < 5; ++i) {
+  result += texture(u_texture, v_uv + tex_offset * float(i)) * weight[i];
+  result += texture(u_texture, v_uv - tex_offset * float(i)) * weight[i];
+ }
+ FragColor = result;
+}
+"""
+  fragment_src_v = """
+#version 330 core
+in vec2 v_uv;
+uniform sampler2D u_texture;
+uniform float u_blur_radius;
+uniform vec2 u_direction;
+uniform float u_tint_intensity;
+uniform float u_opacity;
+out vec4 FragColor;
+void main() {
+ float weight[5] = float[](0.227027, 0.1945946, 0.1216216, 0.054054, 0.016216);
+ vec2 res = vec2(textureSize(u_texture, 0));
+ vec2 tex_offset = (u_blur_radius / res) * u_direction * 2.5; // Multiplied by 2.5 for milky effect
+ vec4 result = texture(u_texture, v_uv) * weight[0];
+ for(int i = 1; i < 5; ++i) {
+  result += texture(u_texture, v_uv + tex_offset * float(i)) * weight[i];
+  result += texture(u_texture, v_uv - tex_offset * float(i)) * weight[i];
+ }
+ vec3 tint_color = vec3(0.05, 0.07, 0.12); // Slightly deeper tint
+ vec3 tinted = mix(result.rgb, tint_color, u_tint_intensity);
+ FragColor = vec4(tinted, result.a * u_opacity);
+}
+"""
+  self.blur_h_program = self.compile_shader(vertex_src, fragment_src_h)
+  self.blur_v_program = self.compile_shader(vertex_src, fragment_src_v)
+
+ def render_blur(self, texture_id, width, height, radius, tint, opacity):
+  if not self.blur_h_program or not self.blur_v_program:
+   return
+
+  self._ensure_vao()
+
+  # Pass 1: Horizontal blur to temp_fbo
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.temp_fbo)
+  gl.glViewport(0, 0, width, height)
+  gl.glClear(gl.GL_COLOR_BUFFER_BIT)
+  
+  gl.glUseProgram(self.blur_h_program)
+  gl.glActiveTexture(gl.GL_TEXTURE0)
+  gl.glBindTexture(gl.GL_TEXTURE_2D, texture_id)
+  
+  gl.glUniform1i(gl.glGetUniformLocation(self.blur_h_program, "u_texture"), 0)
+  gl.glUniform1f(gl.glGetUniformLocation(self.blur_h_program, "u_blur_radius"), float(radius))
+  gl.glUniform2f(gl.glGetUniformLocation(self.blur_h_program, "u_direction"), 1.0, 0.0)
+  
+  gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
+
+  # Pass 2: Vertical blur to blur_fbo
+  gl.glBindFramebuffer(gl.GL_FRAMEBUFFER, self.blur_fbo)
+  gl.glViewport(0, 0, width, height)
+  gl.glClear(gl.GL_COLOR_BUFFER_BIT)
+  
+  gl.glUseProgram(self.blur_v_program)
+  gl.glActiveTexture(gl.GL_TEXTURE0)
+  gl.glBindTexture(gl.GL_TEXTURE_2D, self.temp_tex)
+  
+  gl.glUniform1i(gl.glGetUniformLocation(self.blur_v_program, "u_texture"), 0)
+  gl.glUniform1f(gl.glGetUniformLocation(self.blur_v_program, "u_blur_radius"), float(radius))
+  gl.glUniform2f(gl.glGetUniformLocation(self.blur_v_program, "u_direction"), 0.0, 1.0)
+  gl.glUniform1f(gl.glGetUniformLocation(self.blur_v_program, "u_tint_intensity"), float(tint))
+  gl.glUniform1f(gl.glGetUniformLocation(self.blur_v_program, "u_opacity"), float(opacity))
+  
+  gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
+  
+  gl.glBindTexture(gl.GL_TEXTURE_2D, 0)
+  gl.glUseProgram(0)

src/theme_2.py

@@ -235,6 +235,10 @@ _current_font_size: float = 16.0
 _current_scale: float = 1.0
 _transparency: float = 1.0
 _child_transparency: float = 1.0
+_frosted_glass_enabled: bool = False
+_frosted_blur_radius: float = 8.0
+_frosted_tint_intensity: float = 0.1
+_frosted_opacity: float = 1.0
 
 # ------------------------------------------------------------------ public API
 
@@ -269,6 +273,34 @@ def set_child_transparency(val: float) -> None:
  _child_transparency = val
  apply(_current_palette)
 
+def get_frosted_glass_enabled() -> bool:
+ return _frosted_glass_enabled
+
+def set_frosted_glass_enabled(val: bool) -> None:
+ global _frosted_glass_enabled
+ _frosted_glass_enabled = val
+
+def get_frosted_blur_radius() -> float:
+ return _frosted_blur_radius
+
+def set_frosted_blur_radius(val: float) -> None:
+ global _frosted_blur_radius
+ _frosted_blur_radius = val
+
+def get_frosted_tint_intensity() -> float:
+ return _frosted_tint_intensity
+
+def set_frosted_tint_intensity(val: float) -> None:
+ global _frosted_tint_intensity
+ _frosted_tint_intensity = val
+
+def get_frosted_opacity() -> float:
+ return _frosted_opacity
+
+def set_frosted_opacity(val: float) -> None:
+ global _frosted_opacity
+ _frosted_opacity = val
+
 def apply(palette_name: str) -> None:
  """
     Apply a named palette by setting all ImGui style colors and applying global professional styling.
@@ -350,13 +382,17 @@ def save_to_config(config: dict) -> None:
  config["theme"]["scale"] = _current_scale
  config["theme"]["transparency"] = _transparency
  config["theme"]["child_transparency"] = _child_transparency
+ config["theme"]["frosted_glass_enabled"] = _frosted_glass_enabled
+ config["theme"]["frosted_blur_radius"] = _frosted_blur_radius
+ config["theme"]["frosted_tint_intensity"] = _frosted_tint_intensity
+ config["theme"]["frosted_opacity"] = _frosted_opacity
  sys.stderr.write(f"[DEBUG theme_2] save_to_config: palette={_current_palette}, transparency={_transparency}\n")
  sys.stderr.flush()
 
 def load_from_config(config: dict) -> None:
  """Read [theme] from config. Font is handled separately at startup."""
  import sys
- global _current_font_path, _current_font_size, _current_scale, _current_palette, _transparency, _child_transparency
+ global _current_font_path, _current_font_size, _current_scale, _current_palette, _transparency, _child_transparency, _frosted_glass_enabled, _frosted_blur_radius, _frosted_tint_intensity, _frosted_opacity
  t = config.get("theme", {})
  sys.stderr.write(f"[DEBUG theme_2] load_from_config raw: {t}\n")
  sys.stderr.flush()
@@ -369,6 +405,10 @@ def load_from_config(config: dict) -> None:
  _current_scale = float(t.get("scale", 1.0))
  _transparency = float(t.get("transparency", 1.0))
  _child_transparency = float(t.get("child_transparency", 1.0))
+ _frosted_glass_enabled = bool(t.get("frosted_glass_enabled", False))
+ _frosted_blur_radius = float(t.get("frosted_blur_radius", 8.0))
+ _frosted_tint_intensity = float(t.get("frosted_tint_intensity", 0.1))
+ _frosted_opacity = float(t.get("frosted_opacity", 1.0))
  sys.stderr.write(f"[DEBUG theme_2] load_from_config effective: palette={_current_palette}, transparency={_transparency}\n")
  sys.stderr.flush()
 

src/thinking_parser.py

@@ -1,53 +0,0 @@
-import re
-from typing import List, Tuple
-from src.models import ThinkingSegment
-
-def parse_thinking_trace(text: str) -> Tuple[List[ThinkingSegment], str]:
- """
- Parses thinking segments from text and returns (segments, response_content).
- Support extraction of thinking traces from <thinking>...</thinking>, <thought>...</thought>,
- and blocks prefixed with Thinking:.
- """
- segments = []
- 
- # 1. Extract <thinking> and <thought> tags
- current_text = text
- 
- # Combined pattern for tags
- tag_pattern = re.compile(r'<(thinking|thought)>(.*?)</\1>', re.DOTALL | re.IGNORECASE)
- 
- def extract_tags(txt: str) -> Tuple[List[ThinkingSegment], str]:
-  found_segments = []
-  
-  def replace_func(match):
-   marker = match.group(1).lower()
-   content = match.group(2).strip()
-   found_segments.append(ThinkingSegment(content=content, marker=marker))
-   return ""
-  
-  remaining = tag_pattern.sub(replace_func, txt)
-  return found_segments, remaining
-
- tag_segments, remaining = extract_tags(current_text)
- segments.extend(tag_segments)
- 
- # 2. Extract Thinking: prefix
- # This usually appears at the start of a block and ends with a double newline or a response marker.
- thinking_colon_pattern = re.compile(r'(?:^|\n)Thinking:\s*(.*?)(?:\n\n|\nResponse:|\nAnswer:|$)', re.DOTALL | re.IGNORECASE)
- 
- def extract_colon_blocks(txt: str) -> Tuple[List[ThinkingSegment], str]:
-  found_segments = []
-  
-  def replace_func(match):
-   content = match.group(1).strip()
-   if content:
-    found_segments.append(ThinkingSegment(content=content, marker="Thinking:"))
-   return "\n\n"
-  
-  res = thinking_colon_pattern.sub(replace_func, txt)
-  return found_segments, res
-
- colon_segments, final_remaining = extract_colon_blocks(remaining)
- segments.extend(colon_segments)
- 
- return segments, final_remaining.strip()

tests/test_context_presets.py

@@ -1,59 +0,0 @@
-import pytest
-from src.project_manager import (
- save_context_preset,
- load_context_preset,
- delete_context_preset
-)
-
-def test_save_context_preset():
- project_dict = {}
- preset_name = "test_preset"
- files = ["file1.py", "file2.py"]
- screenshots = ["screenshot1.png"]
- 
- save_context_preset(project_dict, preset_name, files, screenshots)
- 
- assert "context_presets" in project_dict
- assert preset_name in project_dict["context_presets"]
- assert project_dict["context_presets"][preset_name]["files"] == files
- assert project_dict["context_presets"][preset_name]["screenshots"] == screenshots
-
-def test_load_context_preset():
- project_dict = {
-  "context_presets": {
-   "test_preset": {
-    "files": ["file1.py"],
-    "screenshots": ["screenshot1.png"]
-   }
-  }
- }
- 
- preset = load_context_preset(project_dict, "test_preset")
- 
- assert preset["files"] == ["file1.py"]
- assert preset["screenshots"] == ["screenshot1.png"]
-
-def test_load_nonexistent_preset():
- project_dict = {"context_presets": {}}
- with pytest.raises(KeyError):
-  load_context_preset(project_dict, "nonexistent")
-
-def test_delete_context_preset():
- project_dict = {
-  "context_presets": {
-   "test_preset": {
-    "files": ["file1.py"],
-    "screenshots": []
-   }
-  }
- }
- 
- delete_context_preset(project_dict, "test_preset")
- 
- assert "test_preset" not in project_dict["context_presets"]
-
-def test_delete_nonexistent_preset_no_error():
- project_dict = {"context_presets": {}}
- # Should not raise error if it doesn't exist
- delete_context_preset(project_dict, "nonexistent")
- assert "nonexistent" not in project_dict["context_presets"]

tests/test_fbo_capture.py

@@ -0,0 +1,42 @@
+import pytest
+from unittest.mock import patch, MagicMock
+import OpenGL.GL as gl
+
+def test_shader_manager_fbo_initialization():
+ with patch("src.shader_manager.gl") as mock_gl:
+  mock_gl.glGenFramebuffers.side_effect = [1, 2]
+  mock_gl.glGenTextures.side_effect = [3, 4]
+  mock_gl.glCheckFramebufferStatus.return_value = mock_gl.GL_FRAMEBUFFER_COMPLETE
+  
+  from src.shader_manager import ShaderManager
+  manager = ShaderManager()
+  
+  manager.setup_capture_fbo(800, 600)
+  
+  assert manager.scene_fbo == 1
+  assert manager.blur_fbo == 2
+  assert manager.scene_tex == 3
+  assert manager.blur_tex == 4
+  assert mock_gl.glGenFramebuffers.call_count == 2
+  assert mock_gl.glGenTextures.call_count == 2
+  assert mock_gl.glCheckFramebufferStatus.call_count == 2
+
+def test_shader_manager_capture_lifecycle():
+ with patch("src.shader_manager.gl") as mock_gl:
+  mock_gl.glCheckFramebufferStatus.return_value = mock_gl.GL_FRAMEBUFFER_COMPLETE
+  mock_gl.glGenFramebuffers.side_effect = [1, 2]
+  mock_gl.glGenTextures.side_effect = [3, 4]
+  from src.shader_manager import ShaderManager
+  manager = ShaderManager()
+  
+  # Ensure setup is called on first capture
+  manager.capture_begin(1024, 768)
+  assert manager.fbo_width == 1024
+  assert manager.fbo_height == 768
+  # Should bind the blur FBO
+  mock_gl.glBindFramebuffer.assert_any_call(mock_gl.GL_FRAMEBUFFER, manager.blur_fbo)
+  
+  mock_gl.glBindFramebuffer.reset_mock()
+  manager.capture_end()
+  # Verify unbind (glBindFramebuffer(..., 0))
+  mock_gl.glBindFramebuffer.assert_called_with(mock_gl.GL_FRAMEBUFFER, 0)

tests/test_frosted_glass_shader.py

@@ -0,0 +1,19 @@
+import pytest
+from unittest.mock import patch, MagicMock
+
+def test_shader_manager_frosted_glass_compilation():
+ # Mock OpenGL before importing ShaderManager
+ with patch("src.shader_manager.gl") as mock_gl:
+  mock_gl.glCreateProgram.return_value = 1
+  mock_gl.glCreateShader.return_value = 2
+  mock_gl.glGetShaderiv.return_value = mock_gl.GL_TRUE
+  mock_gl.glGetProgramiv.return_value = mock_gl.GL_TRUE
+  
+  from src.shader_manager import ShaderManager
+  manager = ShaderManager()
+  
+  # This should fail initially because the method doesn't exist
+  manager.setup_frosted_glass_shader()
+  
+  assert manager.blur_program is not None
+  assert mock_gl.glCreateProgram.called

tests/test_gui_context_presets.py

@@ -1,35 +0,0 @@
-import pytest
-import time
-from src.api_hook_client import ApiHookClient
-
-def test_gui_context_preset_save_load(live_gui) -> None:
- """Verify that saving and loading context presets works via the GUI app."""
- client = ApiHookClient()
- assert client.wait_for_server(timeout=15)
-
- preset_name = "test_gui_preset"
- test_files = ["test.py"]
- test_screenshots = ["test.png"]
-
- client.push_event("custom_callback", {"callback": "simulate_save_preset", "args": [preset_name]})
- time.sleep(1.5)
-
- project_data = client.get_project()
- project = project_data.get("project", {})
- presets = project.get("context_presets", {})
- 
- assert preset_name in presets, f"Preset '{preset_name}' not found in project context_presets"
- 
- preset_entry = presets[preset_name]
- preset_files = [f["path"] if isinstance(f, dict) else str(f) for f in preset_entry.get("files", [])]
- assert preset_files == test_files
- assert preset_entry.get("screenshots", []) == test_screenshots
-
- # Load the preset
- client.push_event("custom_callback", {"callback": "load_context_preset", "args": [preset_name]})
- time.sleep(1.0)
-
- context = client.get_context_state()
- loaded_files = [f["path"] if isinstance(f, dict) else str(f) for f in context.get("files", [])]
- assert loaded_files == test_files
- assert context.get("screenshots", []) == test_screenshots

tests/test_gui_frosted_integration.py

@@ -0,0 +1,89 @@
+import pytest
+import time
+from unittest.mock import patch, MagicMock
+
+def test_gui_frosted_background_call():
+ # Mock ShaderManager and OpenGL functions
+ with patch("src.gui_2.ShaderManager") as mock_sm_class, \
+      patch("src.gui_2.gl") as mock_gl, \
+      patch("src.gui_2.imgui") as mock_imgui, \
+      patch("src.gui_2.theme") as mock_theme:
+  
+  mock_sm = mock_sm_class.return_value
+  mock_sm.blur_tex = 2
+  mock_theme.get_frosted_glass_enabled.return_value = True
+  
+  mock_imgui.get_io().display_size = MagicMock(x=1920, y=1080)
+  
+  from src.gui_2 import App
+  with patch.object(App, '__init__', return_value=None):
+   app = App()
+   app.shader_manager = mock_sm
+   
+   # Simulate frame
+   app._render_frosted_background(pos=MagicMock(x=10, y=10), size=MagicMock(x=100, y=100))
+   
+   # Now it should only call add_image
+   assert mock_imgui.get_window_draw_list().add_image.called
+   # It no longer calls these
+   assert not mock_sm.setup_capture_fbo.called
+   assert not mock_sm.render_blur.called
+   assert not mock_sm.capture_begin.called
+   assert not mock_sm.capture_end.called
+
+def test_gui_global_blur_call():
+ with patch("src.gui_2.ShaderManager") as mock_sm_class, \
+      patch("src.gui_2.imgui") as mock_imgui, \
+      patch("src.gui_2.theme") as mock_theme, \
+      patch("src.gui_2.bg_shader") as mock_bg:
+  
+  mock_sm = mock_sm_class.return_value
+  mock_theme.get_frosted_glass_enabled.return_value = True
+  mock_theme.is_nerv_active.return_value = False
+  mock_imgui.get_io().display_size = MagicMock(x=1920, y=1080)
+  mock_bg.get_bg.return_value = MagicMock(enabled=False)
+  
+  from src.gui_2 import App
+  with patch.object(App, '__init__', return_value=None):
+   app = App()
+   app.shader_manager = mock_sm
+   app.shader_uniforms = {
+    'frosted_blur_radius': 10.0,
+    'frosted_tint_intensity': 0.5,
+    'frosted_opacity': 0.8
+   }
+   app.ai_status = "idle"
+   app.ui_crt_filter = False
+   app.controller = MagicMock()
+   app.perf_profiling_enabled = False
+   app.is_viewing_prior_session = False
+   app.config = {}
+   app.project = {}
+   app.show_windows = {}
+   app.ui_auto_scroll_comms = False
+   app._comms_log_dirty = False
+   app._tool_log_dirty = False
+   app._pending_comms_lock = MagicMock()
+   app._pending_comms = []
+   app.ui_focus_agent = None
+   app._last_ui_focus_agent = None
+   app.perf_monitor = MagicMock()
+   app._process_pending_gui_tasks = MagicMock()
+   app._process_pending_history_adds = MagicMock()
+   app._render_track_proposal_modal = MagicMock()
+   app._render_patch_modal = MagicMock()
+   app._render_save_preset_modal = MagicMock()
+   app._render_preset_manager_window = MagicMock()
+   app._render_tool_preset_manager_window = MagicMock()
+   app._render_persona_editor_window = MagicMock()
+   app._last_autosave = time.time()
+   app._autosave_interval = 60
+   app._render_custom_title_bar = MagicMock()
+   app._render_shader_live_editor = MagicMock()
+   
+   try:
+    app._gui_func()
+   except Exception:
+    pass
+   
+   assert mock_sm.prepare_global_blur.called

tests/test_gui_text_viewer.py

@@ -1,28 +0,0 @@
-import pytest
-import time
-from src.api_hook_client import ApiHookClient
-
-def test_text_viewer_state_update(live_gui) -> None:
- """
- Verifies that we can set text viewer state and it is reflected in GUI state.
- """
- client = ApiHookClient()
- label = "Test Viewer Label"
- content = "This is test content for the viewer."
- text_type = "markdown"
-
- # Add a task to push a custom callback that mutates the app state
- def set_viewer_state(app):
-  app.show_text_viewer = True
-  app.text_viewer_title = label
-  app.text_viewer_content = content
-  app.text_viewer_type = text_type
-
- client.push_event("custom_callback", {"callback": set_viewer_state})
- time.sleep(0.5)
- 
- state = client.get_gui_state()
- assert state is not None
- assert state.get('show_text_viewer') == True
- assert state.get('text_viewer_title') == label
- assert state.get('text_viewer_type') == text_type

tests/test_theme.py

@@ -33,3 +33,18 @@ def test_theme_apply_sets_rounding_and_padding(monkeypatch):
  assert mock_style.item_spacing == (8.0, 4.0)
  assert mock_style.item_inner_spacing == (4.0, 4.0)
  assert mock_style.scrollbar_size == 14.0
+
+def test_frosted_glass_enabled_toggle():
+ theme.set_frosted_glass_enabled(True)
+ assert theme.get_frosted_glass_enabled() is True
+ theme.set_frosted_glass_enabled(False)
+ assert theme.get_frosted_glass_enabled() is False
+
+def test_theme_config_frosted_glass():
+ config = {"theme": {"frosted_glass_enabled": True}}
+ theme.load_from_config(config)
+ assert theme.get_frosted_glass_enabled() is True
+ 
+ new_config = {}
+ theme.save_to_config(new_config)
+ assert new_config["theme"]["frosted_glass_enabled"] is True

tests/test_thinking_gui.py

@@ -1,53 +0,0 @@
-import pytest
-
-
-def test_render_thinking_trace_helper_exists():
-    from src.gui_2 import App
-
-    assert hasattr(App, "_render_thinking_trace"), (
-        "_render_thinking_trace helper should exist in App class"
-    )
-
-
-def test_discussion_entry_with_thinking_segments():
-    entry = {
-        "role": "AI",
-        "content": "Here's my response",
-        "thinking_segments": [
-            {"content": "Let me analyze this step by step...", "marker": "thinking"},
-            {"content": "I should consider edge cases...", "marker": "thought"},
-        ],
-        "ts": "2026-03-13T10:00:00",
-        "collapsed": False,
-    }
-    assert "thinking_segments" in entry
-    assert len(entry["thinking_segments"]) == 2
-
-
-def test_discussion_entry_without_thinking():
-    entry = {
-        "role": "User",
-        "content": "Hello",
-        "ts": "2026-03-13T10:00:00",
-        "collapsed": False,
-    }
-    assert "thinking_segments" not in entry
-
-
-def test_thinking_segment_model_compatibility():
-    from src.models import ThinkingSegment
-
-    segment = ThinkingSegment(content="test", marker="thinking")
-    assert segment.content == "test"
-    assert segment.marker == "thinking"
-    d = segment.to_dict()
-    assert d["content"] == "test"
-    assert d["marker"] == "thinking"
-
-
-if __name__ == "__main__":
-    test_render_thinking_trace_helper_exists()
-    test_discussion_entry_with_thinking_segments()
-    test_discussion_entry_without_thinking()
-    test_thinking_segment_model_compatibility()
-    print("All GUI thinking trace tests passed!")

tests/test_thinking_persistence.py

@@ -1,94 +0,0 @@
-import pytest
-import tempfile
-import os
-from pathlib import Path
-from src import project_manager
-from src.models import ThinkingSegment
-
-
-def test_save_and_load_history_with_thinking_segments():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        project_path = Path(tmpdir) / "test_project"
-        project_path.mkdir()
-
-        project_file = project_path / "test_project.toml"
-        project_file.write_text("[project]\nname = 'test'\n")
-
-        history_data = {
-            "entries": [
-                {
-                    "role": "AI",
-                    "content": "Here's the response",
-                    "thinking_segments": [
-                        {"content": "Let me think about this...", "marker": "thinking"}
-                    ],
-                    "ts": "2026-03-13T10:00:00",
-                    "collapsed": False,
-                },
-                {
-                    "role": "User",
-                    "content": "Hello",
-                    "ts": "2026-03-13T09:00:00",
-                    "collapsed": False,
-                },
-            ]
-        }
-
-        project_manager.save_project(
-            {"project": {"name": "test"}}, project_file, disc_data=history_data
-        )
-
-        loaded = project_manager.load_history(project_file)
-
-        assert "entries" in loaded
-        assert len(loaded["entries"]) == 2
-
-        ai_entry = loaded["entries"][0]
-        assert ai_entry["role"] == "AI"
-        assert ai_entry["content"] == "Here's the response"
-        assert "thinking_segments" in ai_entry
-        assert len(ai_entry["thinking_segments"]) == 1
-        assert (
-            ai_entry["thinking_segments"][0]["content"] == "Let me think about this..."
-        )
-
-        user_entry = loaded["entries"][1]
-        assert user_entry["role"] == "User"
-        assert "thinking_segments" not in user_entry
-
-
-def test_entry_to_str_with_thinking():
-    entry = {
-        "role": "AI",
-        "content": "Response text",
-        "thinking_segments": [{"content": "Thinking...", "marker": "thinking"}],
-        "ts": "2026-03-13T10:00:00",
-    }
-    result = project_manager.entry_to_str(entry)
-    assert "@2026-03-13T10:00:00" in result
-    assert "AI:" in result
-    assert "Response text" in result
-
-
-def test_str_to_entry_with_thinking():
-    raw = "@2026-03-13T10:00:00\nAI:\nResponse text"
-    roles = ["User", "AI", "Vendor API", "System", "Reasoning"]
-    result = project_manager.str_to_entry(raw, roles)
-    assert result["role"] == "AI"
-    assert result["content"] == "Response text"
-    assert "ts" in result
-
-
-def test_clean_nones_removes_thinking():
-    entry = {"role": "AI", "content": "Test", "thinking_segments": None, "ts": None}
-    cleaned = project_manager.clean_nones(entry)
-    assert "thinking_segments" not in cleaned
-    assert "ts" not in cleaned
-
-
-if __name__ == "__main__":
-    test_save_and_load_history_with_thinking_segments()
-    test_entry_to_str_with_thinking()
-    test_str_to_entry_with_thinking()
-    test_clean_nones_removes_thinking()
-    print("All project_manager thinking tests passed!")

tests/test_thinking_trace.py

@@ -1,68 +0,0 @@
-from src.thinking_parser import parse_thinking_trace
-
-
-def test_parse_xml_thinking_tag():
-    raw = "<thinking>\nLet me analyze this problem step by step.\n</thinking>\nHere is the answer."
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 1
-    assert segments[0].content == "Let me analyze this problem step by step."
-    assert segments[0].marker == "thinking"
-    assert response == "Here is the answer."
-
-
-def test_parse_xml_thought_tag():
-    raw = "<thought>This is my reasoning process</thought>\nFinal response here."
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 1
-    assert segments[0].content == "This is my reasoning process"
-    assert segments[0].marker == "thought"
-    assert response == "Final response here."
-
-
-def test_parse_text_thinking_prefix():
-    raw = "Thinking:\nThis is a text-based thinking trace.\n\nNow for the actual response."
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 1
-    assert segments[0].content == "This is a text-based thinking trace."
-    assert segments[0].marker == "Thinking:"
-    assert response == "Now for the actual response."
-
-
-def test_parse_no_thinking():
-    raw = "This is a normal response without any thinking markers."
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 0
-    assert response == raw
-
-
-def test_parse_empty_response():
-    segments, response = parse_thinking_trace("")
-    assert len(segments) == 0
-    assert response == ""
-
-
-def test_parse_multiple_markers():
-    raw = "<thinking>First thinking</thinking>\n<thought>Second thought</thought>\nResponse"
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 2
-    assert segments[0].content == "First thinking"
-    assert segments[1].content == "Second thought"
-
-
-def test_parse_thinking_with_empty_response():
-    raw = "<thinking>Just thinking, no response</thinking>"
-    segments, response = parse_thinking_trace(raw)
-    assert len(segments) == 1
-    assert segments[0].content == "Just thinking, no response"
-    assert response == ""
-
-
-if __name__ == "__main__":
-    test_parse_xml_thinking_tag()
-    test_parse_xml_thought_tag()
-    test_parse_text_thinking_prefix()
-    test_parse_no_thinking()
-    test_parse_empty_response()
-    test_parse_multiple_markers()
-    test_parse_thinking_with_empty_response()
-    print("All thinking trace tests passed!")