159 Commits

Author SHA1 Message Date
ed 7d9d8a70e8 conductor(plan): Phase 4 checkpoint complete
Takes panel implemented:
- List of takes with entry count
- Switch/delete actions per take
- Synthesis UI with take selection
- Uses existing synthesis_formatter
2026-03-22 13:28:01 -04:00
ed cc6a651664 feat(gui): Implement Takes panel (Phase 4)
- Replaced _render_takes_placeholder with _render_takes_panel
- Shows list of takes with entry count and switch/delete actions
- Includes synthesis UI with take selection and prompt
- Uses existing synthesis_formatter for diff generation
2026-03-22 13:27:41 -04:00
ed e567223031 conductor(plan): Phase 3 checkpoint complete
Context Composition panel implemented:
- Shows files with Auto-Aggregate/Force Full flags
- Shows screenshots
- Preset save/load/delete functionality
2026-03-22 13:17:39 -04:00
ed a3c8d4b153 feat(gui): Implement Context Composition panel (Phase 3)
- Replaced placeholder with actual _render_context_composition_panel
- Shows current files with Auto-Aggregate and Force Full flags
- Shows current screenshots
- Preset dropdown to load existing presets
- Save as Preset / Delete Preset buttons
- Uses existing save_context_preset/load_context_preset methods
2026-03-22 13:17:19 -04:00
ed e600d3fdcd fix(gui): Use correct ImVec4 color API in placeholder methods
imgui.ImColor.IM_COL32 doesn't exist - use C_LBL (vec4) instead.
Fixes Missing EndTabBar() error caused by exception in placeholder methods.
2026-03-22 13:10:42 -04:00
ed 266a67dcd9 conductor(plan): Phase 2 checkpoint complete
Discussion Hub now has tab bar structure:
- Discussion (history + message/response)
- Context Composition (placeholder)
- Snapshot (Aggregate MD + System Prompt)
- Takes (placeholder)
2026-03-22 13:06:34 -04:00
ed 2b73745cd9 feat(gui): Merge Session Hub into Discussion Hub
- Removed Session Hub window from _gui_func
- Discussion Hub now has tab bar: Discussion | Context Composition | Snapshot | Takes
- _render_discussion_tab: history + message/response tabs
- _render_snapshot_tab: Aggregate MD + System Prompt (moved from Session Hub)
- _render_context_composition_placeholder: placeholder for Phase 3
- _render_takes_placeholder: placeholder for Phase 4
2026-03-22 13:06:15 -04:00
ed 51d05c15e0 conductor(plan): Phase 1 checkpoint complete
Phase 1 complete:
- Removed ui_summary_only global toggle
- Renamed Context Hub to Project Settings
- Removed Context Presets tab
- All tests passing
2026-03-22 12:59:41 -04:00
ed 9ddbcd2fd6 feat(gui): Remove Context Presets tab from Project Settings
Context Presets tab removed from Project Settings panel.
The _render_context_presets_panel method call is removed from the tab bar.
Context presets functionality will be re-introduced in Discussion Hub -> Context Composition tab.
2026-03-22 12:59:10 -04:00
ed c205c6d97c conductor(plan): Mark tasks complete in discussion_hub_panel_reorg 2026-03-22 12:58:05 -04:00
ed 2ed9867e39 feat(gui): Rename Context Hub to Project Settings
- gui_2.py: Window title changed to 'Project Settings'
- app_controller.py: show_windows key updated
- Updated tests to reference new name
2026-03-22 12:57:49 -04:00
ed f5d4913da2 feat(gui): Remove ui_summary_only global toggle
The ui_summary_only global aggregation toggle was redundant with per-file flags
(auto_aggregate, force_full). Removed:
- Checkbox from Projects panel (gui_2.py)
- State variable and project load/save (app_controller.py)

Per-file flags remain the intended mechanism for controlling aggregation.

Tests added to verify removal and per-file flag functionality.
2026-03-22 12:54:32 -04:00
ed abe1c660ea conductor(tracks): Add two deferred future tracks
- aggregation_smarter_summaries: Sub-agent summarization, hash-based caching
- system_context_exposure: Expose hidden _SYSTEM_PROMPT for user customization
2026-03-22 12:43:47 -04:00
ed dd520dd4db conductor(tracks): Add discussion_hub_panel_reorganization track
This track addresses the fragmented implementation of Session Context Snapshots
and Discussion Takes & Timeline Branching tracks (2026-03-11) which were
marked complete but the UI panel layout was not properly reorganized.

New track structure:
- Phase 1: Remove ui_summary_only, rename Context Hub to Project Settings
- Phase 2: Merge Session Hub into Discussion Hub (4 tabs)
- Phase 3: Context Composition tab (per-discussion file filter)
- Phase 4: DAW-style Takes timeline integration
- Phase 5: Final integration and cleanup

Also archives the two botched tracks and updates tracks.md.
2026-03-22 12:35:32 -04:00
ed f6fe3baaf4 fix(gui): Skip empty strings in selectable to prevent ImGui ID assertion
Empty strings in bias_profiles.keys() and personas.keys() caused
imgui.selectable() to fail with 'Cannot have an empty ID at root of
window' assertion error. Added guards to skip empty names.
2026-03-22 11:16:52 -04:00
ed 133fd60613 fix(gui): Ensure discussion selection in combo box is immediately reflected in takes tabs 2026-03-21 17:02:28 -04:00
ed d89f971270 checkpoint 2026-03-21 16:59:36 -04:00
ed f53e417aec fix(gui): Resolve ImGui stack corruption, JSON serialization errors, and test regressions 2026-03-21 15:28:43 -04:00
ed f770a4e093 fix(gui): Implement correct UX for discussion takes tabs and combo box 2026-03-21 10:55:29 -04:00
ed dcf10a55b3 conductor(plan): Mark task 'Apply review suggestions' as complete 2026-03-21 10:40:18 -04:00
ed 2a8af5f728 fix(conductor): Apply review suggestions for track 'Discussion Takes & Timeline Branching' 2026-03-21 10:39:53 -04:00
ed b9e8d70a53 docs(conductor): Synchronize docs for track 'Discussion Takes & Timeline Branching' 2026-03-19 21:34:15 -04:00
ed 2352a8251e chore(conductor): Mark track 'Discussion Takes & Timeline Branching' as complete 2026-03-19 20:09:54 -04:00
ed ab30c15422 conductor(plan): Checkpoint end of Phase 4 2026-03-19 20:09:33 -04:00
ed 253d3862cc conductor(checkpoint): Checkpoint end of Phase 4 2026-03-19 20:08:57 -04:00
ed 0738f62d98 conductor(plan): Mark Phase 4 backend tasks as complete 2026-03-19 20:06:47 -04:00
ed a452c72e1b feat(gui): Implement AI synthesis execution pipeline from multi-take UI 2026-03-19 20:06:14 -04:00
ed 7d100fb340 conductor(plan): Checkpoint end of Phase 3 2026-03-19 20:01:59 -04:00
ed f0b8f7dedc conductor(checkpoint): Checkpoint end of Phase 3 2026-03-19 20:01:25 -04:00
ed 343fb48959 conductor(plan): Mark Phase 3 backend tasks as complete 2026-03-19 19:53:42 -04:00
ed 510527c400 feat(backend): Implement multi-take sequence differencing and text formatting utility 2026-03-19 19:53:09 -04:00
ed 45bffb7387 conductor(plan): Checkpoint end of Phase 2 2026-03-19 19:49:51 -04:00
ed 9c67ee743c conductor(checkpoint): Checkpoint end of Phase 2 2026-03-19 19:49:19 -04:00
ed b077aa8165 conductor(plan): Mark Phase 2 as complete 2026-03-19 19:46:09 -04:00
ed 1f7880a8c6 feat(gui): Add UI button to promote active take to a new session 2026-03-19 19:45:38 -04:00
ed e48835f7ff feat(gui): Add branch discussion action to history entries 2026-03-19 19:44:30 -04:00
ed 3225125af0 feat(gui): Implement tabbed interface for discussion takes 2026-03-19 19:42:29 -04:00
ed 54cc85b4f3 conductor(plan): Checkpoint end of Phase 1 2026-03-19 19:14:06 -04:00
ed 40395893c5 conductor(checkpoint): Checkpoint end of Phase 1 2026-03-19 19:13:13 -04:00
ed 9f4fe8e313 conductor(plan): Mark Phase 1 backend tasks as complete 2026-03-19 19:01:33 -04:00
ed fefa06beb0 feat(backend): Implement discussion branching and take promotion 2026-03-19 19:00:56 -04:00
ed 8ee8862ae8 checkpoint: track complete 2026-03-18 18:39:54 -04:00
ed 0474df5958 docs(conductor): Synchronize docs for track 'Session Context Snapshots & Visibility' 2026-03-18 17:15:00 -04:00
ed cf83aeeff3 chore(conductor): Mark track 'Session Context Snapshots & Visibility' as complete 2026-03-18 15:42:55 -04:00
ed ca7d1b074f conductor(plan): Mark phase 'Phase 4: Agent-Focused Session Filtering' as complete 2026-03-18 15:42:41 -04:00
ed 038c909ce3 conductor(plan): Mark phase 'Phase 3: Transparent Context Visibility' as complete 2026-03-18 13:04:39 -04:00
ed 84b6266610 feat(gui): Implement Session Hub and context injection visibility 2026-03-18 09:04:07 -04:00
ed c5df29b760 conductor(plan): Mark phase 'Phase 2: GUI Integration & Persona Assignment' as complete 2026-03-18 00:51:22 -04:00
ed 791e1b7a81 feat(gui): Add context preset field to persona model and editor UI 2026-03-18 00:20:29 -04:00
ed 573f5ee5d1 feat(gui): Implement Context Hub UI for context presets 2026-03-18 00:13:50 -04:00
ed 1e223b46b0 conductor(plan): Mark phase 'Phase 1: Backend Support for Context Presets' as complete 2026-03-17 23:45:18 -04:00
ed 93a590cdc5 feat(backend): Implement storage functions for context presets 2026-03-17 23:30:55 -04:00
ed b4396697dd finished a track 2026-03-17 23:26:01 -04:00
ed 31b38f0c77 chore(conductor): Mark track 'Advanced Text Viewer with Syntax Highlighting' as complete 2026-03-17 23:16:25 -04:00
ed 2826ad53d8 feat(gui): Update all text viewer usages to specify types and support markdown preview for presets 2026-03-17 23:15:39 -04:00
ed a91b8dcc99 feat(gui): Refactor text viewer to use rich rendering and toolbar 2026-03-17 23:10:33 -04:00
ed 74c9d4b992 conductor(plan): Mark phase 'Phase 1: State & Interface Update' as complete 2026-03-17 22:51:49 -04:00
ed e28af48ae9 feat(gui): Initialize text viewer state variables and update interface 2026-03-17 22:48:35 -04:00
ed 5470f2106f fix(gui): fix missing thinking_segments parameter persistence across sessions 2026-03-15 16:11:09 -04:00
ed 0f62eaff6d fix(gui): hide empty text edit input in discussion history when entry is standalone monologue 2026-03-15 16:03:54 -04:00
ed 5285bc68f9 fix(gui): fix missing token stats and improve standalone monologue rendering 2026-03-15 15:57:08 -04:00
ed 226ffdbd2a latest changes 2026-03-14 12:26:16 -04:00
ed 6594a50e4e fix(gui): skip empty content rendering in Discussion Hub; add token usage to comms history 2026-03-14 09:49:26 -04:00
ed 1a305ee614 fix(gui): push AI monologue/text chunks to discussion history immediately per round instead of accumulating 2026-03-14 09:35:41 -04:00
ed 81ded98198 fix(gui): do not auto-add tool calls/results to discussion history if ui_auto_add_history is false 2026-03-14 09:26:54 -04:00
ed b85b7d9700 fix(gui): fix incompatible collapsing_header argument when rendering thinking trace 2026-03-14 09:21:44 -04:00
ed 3d0c40de45 fix(gui): parse thinking traces out of response text before rendering in history and comms panels 2026-03-14 09:19:47 -04:00
ed 47c5100ec5 fix(gui): render thinking trace in both read and edit modes consistently 2026-03-14 09:09:43 -04:00
ed bc00fe1197 fix(gui): Move thinking trace rendering BEFORE response - now hidden by default 2026-03-13 23:15:20 -04:00
ed 9515dee44d feat(gui): Extract and display thinking traces from AI responses 2026-03-13 23:09:29 -04:00
ed 13199a0008 fix(gui): Properly add thinking trace without breaking _render_selectable_label 2026-03-13 23:05:27 -04:00
ed 45c9e15a3c fix: Mark thinking trace track as complete in tracks.md 2026-03-13 22:36:13 -04:00
ed d18eabdf4d fix(gui): Add push_id to _render_selectable_label; finalize track 2026-03-13 22:35:47 -04:00
ed 9fb8b5757f fix(gui): Add push_id to _render_selectable_label for proper ID stack 2026-03-13 22:34:31 -04:00
ed e30cbb5047 fix: Revert to stable gui_2.py version 2026-03-13 22:33:09 -04:00
ed 017a52a90a fix(gui): Restore _render_selectable_label with proper push_id 2026-03-13 22:17:43 -04:00
ed 71269ceb97 feat(thinking): Phase 4 complete - tinted bg, Monologue header, gold text 2026-03-13 22:09:09 -04:00
ed 0b33cbe023 fix: Mark track as complete in tracks.md 2026-03-13 22:08:25 -04:00
ed 1164aefffa feat(thinking): Complete track - all phases done 2026-03-13 22:07:56 -04:00
ed 1ad146b38e feat(gui): Add _render_thinking_trace helper and integrate into Discussion Hub 2026-03-13 22:07:13 -04:00
ed 084f9429af fix: Update test to match current implementation state 2026-03-13 22:03:19 -04:00
ed 95e6413017 feat(thinking): Phases 1-2 complete - parser, model, tests 2026-03-13 22:02:34 -04:00
ed fc7b491f78 test: Add thinking persistence tests; Phase 2 complete 2026-03-13 21:56:35 -04:00
ed 44a1d76dc7 feat(thinking): Phase 1 complete - parser, model, tests 2026-03-13 21:55:29 -04:00
ed ea7b3ae3ae test: Add thinking trace parsing tests 2026-03-13 21:53:17 -04:00
ed c5a406eff8 feat(track): Start thinking trace handling track 2026-03-13 21:49:40 -04:00
ed c15f38fb09 marking already done frame done 2026-03-13 21:48:45 -04:00
ed 645f71d674 FUCK FROSTED GLASS 2026-03-13 21:47:57 -04:00
ed 3a0d388502 adjust tracks.md 2026-03-13 14:41:08 -04:00
ed 879e0991c9 chore(conductor): Add new track 'Frosted Glass Background Effect' 2026-03-13 14:40:43 -04:00
ed d96adca67c update track ordering 2026-03-13 14:40:37 -04:00
ed 4b0ebe44ff chore(conductor): Add new track 'Advanced Text Viewer with Syntax Highlighting' 2026-03-13 14:28:32 -04:00
ed 6b8151235f adjust track loc 2026-03-13 13:59:43 -04:00
ed 69107a75d3 chore(conductor): Add new track 'Rich Thinking Trace Handling' 2026-03-13 13:54:13 -04:00
ed 89c9f62f0c use maple mono. 2026-03-13 13:49:27 -04:00
ed 87e6b5c665 more win32 wrap 2026-03-13 13:39:42 -04:00
ed 9f8dd48a2e wrap win32 usage in conditionals 2026-03-13 13:29:13 -04:00
ed 87bd2ae11c fixed. 2026-03-13 13:23:31 -04:00
ed a57a3c78d4 fixes 2026-03-13 13:15:58 -04:00
ed ca01397885 checkpoint: fixing ux with window frame bar 2026-03-13 13:13:35 -04:00
ed c76aba64e4 docs(conductor): Synchronize docs for track 'Custom Shader and Window Frame Support' 2026-03-13 12:45:58 -04:00
ed 96de21b2b2 chore(conductor): Mark track 'Custom Shader and Window Frame Support' as complete 2026-03-13 12:45:13 -04:00
ed 25d7d97455 conductor(plan): Mark Phase 5 as complete 2026-03-13 12:45:03 -04:00
ed da478191e9 conductor(checkpoint): Checkpoint end of Phase 5 2026-03-13 12:44:37 -04:00
ed 9b79044caa conductor(plan): Mark Phase 5 implementations as complete 2026-03-13 12:44:19 -04:00
ed 229fbe2b3f feat(gui): Implement live shader editor panel 2026-03-13 12:43:54 -04:00
ed d69434e85f feat(config): Implement parsing for shader and window frame configurations 2026-03-13 12:41:24 -04:00
ed 830bd7b1fb conductor(plan): Mark Phase 4 as complete 2026-03-13 12:38:05 -04:00
ed 50f98deb74 conductor(checkpoint): Checkpoint end of Phase 4 2026-03-13 12:37:45 -04:00
ed 67ed51056e conductor(plan): Mark Phase 4 implementations as complete 2026-03-13 12:36:05 -04:00
ed 905ac00e3f feat(shaders): Implement CRT post-process shader logic 2026-03-13 12:35:43 -04:00
ed 836168a2a8 feat(shaders): Implement dynamic background shader 2026-03-13 12:33:27 -04:00
ed 2dbd570d59 conductor(plan): Mark Phase 3 as complete 2026-03-13 12:31:02 -04:00
ed 5ebce894bb conductor(checkpoint): Checkpoint end of Phase 3 2026-03-13 12:30:41 -04:00
ed 6c4c567ed0 conductor(plan): Mark Phase 3 as complete 2026-03-13 12:29:34 -04:00
ed 09383960be feat(shaders): Implement uniform data passing for ShaderManager 2026-03-13 12:29:10 -04:00
ed ac4f63b76e feat(shaders): Create ShaderManager with basic compilation 2026-03-13 12:27:01 -04:00
ed 356d5f3618 conductor(plan): Mark Phase 2 as complete 2026-03-13 12:24:03 -04:00
ed b9ca69fbae conductor(checkpoint): Checkpoint end of Phase 2 2026-03-13 12:23:40 -04:00
ed 3f4ae21708 conductor(plan): Mark Phase 2 implementation as complete 2026-03-13 12:20:59 -04:00
ed 59d7368bd7 feat(gui): Implement custom title bar and window controls 2026-03-13 12:20:37 -04:00
ed 02fca1f8ba test(gui): Verify borderless window mode is configured 2026-03-13 12:05:49 -04:00
ed 841e54aa47 conductor(plan): Mark Phase 1 as complete 2026-03-13 11:58:43 -04:00
ed 815ee55981 conductor(checkpoint): Checkpoint end of Phase 1 2026-03-13 11:58:16 -04:00
ed 4e5ec31876 conductor(plan): Mark Phase 1 investigation tasks as complete 2026-03-13 11:57:46 -04:00
ed 5f4da366f1 docs(architecture): Add custom shaders and window frame architecture document 2026-03-13 11:57:22 -04:00
ed 82722999a8 ai put it in the wrong spot 2026-03-12 21:47:57 -04:00
ed ad93a294fb chore(conductor): Add new track 'Optimization pass for Data-Oriented Python heuristics' 2026-03-12 21:47:16 -04:00
ed b677228a96 get prior session history properly working. 2026-03-12 21:38:19 -04:00
ed f2c5ae43d7 add resize splitter to dicussion hub message/response section 2026-03-12 21:14:41 -04:00
ed cf5ee6c0f1 make sure you can't send another rquest prompt when one is still being processed 2026-03-12 21:04:14 -04:00
ed 123bcdcb58 config 2026-03-12 20:58:36 -04:00
ed c8eb340afe fixes 2026-03-12 20:58:28 -04:00
ed 414379da4f more fixes 2026-03-12 20:54:47 -04:00
ed 63015e9523 set theme back to nord dark 2026-03-12 20:28:19 -04:00
ed 36b3c33dcc update settings 2026-03-12 20:27:08 -04:00
ed 727274728f archived didn't delete from tracks... 2026-03-12 20:26:56 -04:00
ed befb480285 feat(conductor): Archive External MCP, Project-Specific Conductor, and GUI Path Config tracks 2026-03-12 20:10:05 -04:00
ed 5a8a91ecf7 more fixes 2026-03-12 19:51:04 -04:00
ed 8bc6eae101 wip: fixing more path resolution in tests 2026-03-12 19:28:21 -04:00
ed 1f8bb58219 more adjustments 2026-03-12 19:08:51 -04:00
ed 19e7c94c2e fixes 2026-03-12 18:47:17 -04:00
ed 23943443e3 stuff that was not comitted. 2026-03-12 18:15:38 -04:00
ed 6f1fea85f0 docs(conductor): Synchronize docs for track 'GUI Path Configuration in Context Hub' 2026-03-12 17:57:24 -04:00
ed d237d3b94d feat(gui): Add Path Configuration panel to Context Hub 2026-03-12 16:44:22 -04:00
ed 7924d65438 docs(conductor): Synchronize docs for track 'Project-Specific Conductor Directory' 2026-03-12 16:38:49 -04:00
ed 3999e9c86d feat(conductor): Use project-specific conductor directory in project_manager and app_controller 2026-03-12 16:38:01 -04:00
ed 48e2ed852a feat(paths): Add support for project-specific conductor directories 2026-03-12 16:27:24 -04:00
ed e5a86835e2 docs(conductor): Synchronize docs for track 'External MCP Server Support' 2026-03-12 16:22:58 -04:00
ed 95800ad88b chore(conductor): Mark track 'External MCP Server Support' as complete 2026-03-12 15:58:56 -04:00
ed f4c5a0be83 feat(ai_client): Support external MCP tools and HITL approval 2026-03-12 15:58:36 -04:00
ed 3b2588ad61 feat(gui): Integrate External MCPs into Operations Hub with status indicators 2026-03-12 15:54:52 -04:00
ed 828fadf829 feat(mcp_client): Implement ExternalMCPManager and StdioMCPServer with tests 2026-03-12 15:41:01 -04:00
ed 4ba1bd9eba conductor(checkpoint): Phase 1: Configuration & Data Modeling complete 2026-03-12 15:35:51 -04:00
ed c09e0f50be feat(app_controller): Integrate MCP configuration loading and add tests 2026-03-12 15:33:37 -04:00
ed 1c863f0f0c feat(models): Add MCP configuration models and loading logic 2026-03-12 15:31:10 -04:00
ed 6090e0ad2b docs(conductor): Synchronize docs for track 'Expanded Hook API & Headless Orchestration' 2026-03-11 23:59:07 -04:00
ed d16996a62a chore(conductor): Mark track 'Expanded Hook API & Headless Orchestration' as complete 2026-03-11 23:52:50 -04:00
ed 1a14cee3ce test: fix broken tests across suite and resolve port conflicts 2026-03-11 23:49:23 -04:00
136 changed files with 6947 additions and 703 deletions
+3 -3
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@@ -1,7 +1,7 @@
---
---
description: Fast, read-only agent for exploring the codebase structure
mode: subagent
model: MiniMax-M2.5
model: minimax-coding-plan/MiniMax-M2.7
temperature: 0.2
permission:
edit: deny
@@ -78,4 +78,4 @@ Return concise findings with file:line references:
### Summary
[One-paragraph summary of findings]
```
```
+3 -3
View File
@@ -1,7 +1,7 @@
---
---
description: General-purpose agent for researching complex questions and executing multi-step tasks
mode: subagent
model: MiniMax-M2.5
model: minimax-coding-plan/MiniMax-M2.7
temperature: 0.3
---
@@ -81,4 +81,4 @@ Return detailed findings with evidence:
### Recommendations
- [Suggested next steps if applicable]
```
```
+5 -5
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@@ -1,7 +1,7 @@
---
---
description: Tier 1 Orchestrator for product alignment, high-level planning, and track initialization
mode: primary
model: MiniMax-M2.5
model: minimax-coding-plan/MiniMax-M2.7
temperature: 0.5
permission:
edit: ask
@@ -18,7 +18,7 @@ ONLY output the requested text. No pleasantries.
## Context Management
**MANUAL COMPACTION ONLY** Never rely on automatic context summarization.
**MANUAL COMPACTION ONLY** Never rely on automatic context summarization.
Use `/compact` command explicitly when context needs reduction.
Preserve full context during track planning and spec creation.
@@ -105,7 +105,7 @@ Use `manual-slop_py_get_code_outline`, `manual-slop_py_get_definition`,
Document existing implementations with file:line references in a
"Current State Audit" section in the spec.
**FAILURE TO AUDIT = TRACK FAILURE** Previous tracks failed because specs
**FAILURE TO AUDIT = TRACK FAILURE** Previous tracks failed because specs
asked to implement features that already existed.
### 2. Identify Gaps, Not Features
@@ -175,4 +175,4 @@ Focus: {One-sentence scope}
- Do NOT use native `edit` tool - use MCP tools
- DO NOT SKIP A TEST IN PYTEST JUST BECAUSE ITS BROKEN AND HAS NO TRIVIAL SOLUTION OR FIX.
- DO NOT SIMPLIFY A TEST JUST BECAUSE IT HAS NO TRIVIAL SOLUTION TO FIX.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
+7 -7
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@@ -1,7 +1,7 @@
---
---
description: Tier 2 Tech Lead for architectural design and track execution with persistent memory
mode: primary
model: MiniMax-M2.5
model: minimax-coding-plan/MiniMax-M2.7
temperature: 0.4
permission:
edit: ask
@@ -14,9 +14,9 @@ ONLY output the requested text. No pleasantries.
## Context Management
**MANUAL COMPACTION ONLY** Never rely on automatic context summarization.
**MANUAL COMPACTION ONLY** Never rely on automatic context summarization.
Use `/compact` command explicitly when context needs reduction.
You maintain PERSISTENT MEMORY throughout track execution do NOT apply Context Amnesia to your own session.
You maintain PERSISTENT MEMORY throughout track execution do NOT apply Context Amnesia to your own session.
## CRITICAL: MCP Tools Only (Native Tools Banned)
@@ -134,14 +134,14 @@ Before implementing:
- Zero-assertion ban: Tests MUST have meaningful assertions
- Delegate test creation to Tier 3 Worker via Task tool
- Run tests and confirm they FAIL as expected
- **CONFIRM FAILURE** this is the Red phase
- **CONFIRM FAILURE** this is the Red phase
### 3. Green Phase: Implement to Pass
- **Pre-delegation checkpoint**: Stage current progress (`git add .`)
- Delegate implementation to Tier 3 Worker via Task tool
- Run tests and confirm they PASS
- **CONFIRM PASS** this is the Green phase
- **CONFIRM PASS** this is the Green phase
### 4. Refactor Phase (Optional)
@@ -213,4 +213,4 @@ When all tasks in a phase are complete:
- Do NOT use native `edit` tool - use MCP tools
- DO NOT SKIP A TEST IN PYTEST JUST BECAUSE ITS BROKEN AND HAS NO TRIVIAL SOLUTION OR FIX.
- DO NOT SIMPLIFY A TEST JUST BECAUSE IT HAS NO TRIVIAL SOLUTION TO FIX.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
+3 -3
View File
@@ -1,7 +1,7 @@
---
---
description: Stateless Tier 3 Worker for surgical code implementation and TDD
mode: subagent
model: MiniMax-M2.5
model: minimax-coding-plan/minimax-m2.7
temperature: 0.3
permission:
edit: allow
@@ -133,4 +133,4 @@ If you cannot complete the task:
- Do NOT modify files outside the specified scope
- DO NOT SKIP A TEST IN PYTEST JUST BECAUSE ITS BROKEN AND HAS NO TRIVIAL SOLUTION OR FIX.
- DO NOT SIMPLIFY A TEST JUST BECAUSE IT HAS NO TRIVIAL SOLUTION TO FIX.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
+3 -3
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@@ -1,7 +1,7 @@
---
---
description: Stateless Tier 4 QA Agent for error analysis and diagnostics
mode: subagent
model: MiniMax-M2.5
model: minimax-coding-plan/MiniMax-M2.7
temperature: 0.2
permission:
edit: deny
@@ -119,4 +119,4 @@ If you cannot analyze the error:
- Do NOT read full large files - use skeleton tools first
- DO NOT SKIP A TEST IN PYTEST JUST BECAUSE ITS BROKEN AND HAS NO TRIVIAL SOLUTION OR FIX.
- DO NOT SIMPLIFY A TEST JUST BECAUSE IT HAS NO TRIVIAL SOLUTION TO FIX.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
- DO NOT CREATE MOCK PATCHES TO PSEUDO API CALLS OR HOOKS BECAUSE THE APP SOURCE WAS CHANGED. ADAPT TESTS PROPERLY.
+9
View File
@@ -0,0 +1,9 @@
import sys
import os
try:
from imgui_bundle import hello_imgui
rp = hello_imgui.RunnerParams()
print(f"Default borderless: {rp.app_window_params.borderless}")
except Exception as e:
print(f"Error: {e}")
@@ -0,0 +1,42 @@
# Implementation Plan: External MCP Server Support
## Phase 1: Configuration & Data Modeling [checkpoint: 4ba1bd9]
- [x] Task: Define the schema for external MCP server configuration. [1c863f0]
- [x] Update `src/models.py` to include `MCPServerConfig` and `MCPConfiguration` classes.
- [x] Implement logic to load `mcp_config.json` from global and project-specific paths.
- [x] Task: Integrate configuration loading into `AppController`. [c09e0f5]
- [x] Ensure the MCP config path is correctly resolved from `config.toml` and `manual_slop.toml`.
- [x] Task: Write unit tests for configuration loading and validation. [c09e0f5]
- [x] Task: Conductor - User Manual Verification 'Phase 1: Configuration & Data Modeling' [4ba1bd9]
## Phase 2: MCP Client Extension [checkpoint: 828fadf]
- [x] Task: Implement `ExternalMCPManager` in `src/mcp_client.py`. [828fadf]
- [x] Add support for managing multiple MCP server sessions.
- [x] Implement the `StdioMCPClient` for local subprocess communication.
- [x] Implement the `RemoteMCPClient` for SSE/WebSocket communication (stub).
- [x] Task: Update Tool Discovery. [828fadf]
- [x] Implement `list_external_tools()` to aggregate tools from all active external servers.
- [x] Task: Update Tool Dispatch. [828fadf]
- [x] Modify `mcp_client.dispatch()` and `mcp_client.async_dispatch()` to route tool calls to either native tools or the appropriate external server.
- [x] Task: Write integration tests for stdio and remote MCP client communication (using mock servers). [828fadf]
- [x] Task: Conductor - User Manual Verification 'Phase 2: MCP Client Extension' [828fadf]
## Phase 3: GUI Integration & Lifecycle [checkpoint: 3b2588a]
- [x] Task: Update the **Operations** panel in `src/gui_2.py`. [3b2588a]
- [x] Create a new "External Tools" section.
- [x] List discovered tools from active external servers.
- [x] Add a "Refresh External MCPs" button to reload configuration and rediscover tools.
- [x] Task: Implement Lifecycle Management. [3b2588a]
- [x] Add the "Auto-start on Project Load" logic to start servers when a project is initialized.
- [x] Add status indicators (e.g., color-coded dots) for each external server in the GUI.
- [x] Task: Write visual regression tests or simulation scripts to verify the updated Operations panel. [3b2588a]
- [x] Task: Conductor - User Manual Verification 'Phase 3: GUI Integration & Lifecycle' [3b2588a]
## Phase 4: Agent Integration & HITL [checkpoint: f4c5a0b]
- [x] Task: Update AI tool declarations. [f4c5a0b]
- [x] Ensure `ai_client.py` includes external tools in the tool definitions sent to Gemini/Anthropic.
- [x] Task: Verify HITL Approval Flow. [f4c5a0b]
- [x] Ensure that calling an external tool correctly triggers the `ConfirmDialog` modal.
- [x] Verify that approved external tool results are correctly returned to the AI.
- [x] Task: Perform a final end-to-end verification with a real external MCP server. [f4c5a0b]
- [x] Task: Conductor - User Manual Verification 'Phase 4: Agent Integration & HITL' [f4c5a0b]
@@ -0,0 +1,5 @@
# Track frosted_glass_20260313 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "frosted_glass_20260313",
"type": "feature",
"status": "new",
"created_at": "2026-03-13T14:39:00Z",
"updated_at": "2026-03-13T14:39:00Z",
"description": "Add 'frosted glass' bg for transparency on panels and popups. This blurring effect will allow drop downs and other elements of these panels to not get hard to discern from background text or elements behind the panel."
}
@@ -0,0 +1,26 @@
# 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)
@@ -0,0 +1,34 @@
# Specification: Frosted Glass Background Effect
## Overview
Implement a high-fidelity "frosted glass" (acrylic) background effect for all GUI panels and popups within the Manual Slop interface. This effect will use a GPU-resident shader to blur the content behind active windows, improving readability and visual depth while preventing background text from clashing with foreground UI elements.
## Functional Requirements
- **GPU-Accelerated Blur:**
- Implement a GLSL fragment shader (e.g., Gaussian or Kawase blur) within the existing `ShaderManager` pipeline.
- The shader must sample the current frame buffer background and render a blurred version behind the active window's background.
- **Global Integration:**
- The effect must automatically apply to all standard ImGui panels and popups.
- Integrate with `imgui.begin()` and `imgui.begin_popup()` (or via a reusable wrapper helper).
- **Real-Time Tuning:**
- Add controls to the **Live Shader Editor** to adjust the following parameters:
- **Blur Radius:** Control the intensity of the Gaussian blur.
- **Tint Intensity:** Control the strength of the "frost" overlay color.
- **Base Opacity:** Control the overall transparency of the frosted layer.
- **Persistence:**
- Save frosted glass parameters to `config.toml` under the `theme` or `shader` section.
## Technical Implementation
- **Shader Pipeline:** Use `PyOpenGL` to manage a dedicated background texture/FBO for sampling.
- **Coordinate Mapping:** Ensure the blur shader correctly maps screen coordinates to the region behind the current ImGui window.
- **State Integration:** Store tuning parameters in `App.shader_uniforms` and ensure they are updated every frame.
## Acceptance Criteria
- [ ] Panels and popups have a distinct, blurred background that clearly separates them from the content behind them.
- [ ] Changing the "Blur Radius" slider in the Shader Editor immediately updates the visual frostiness.
- [ ] The effect remains stable during window dragging and resizing.
- [ ] No significant performance degradation (maintaining target FPS).
## Out of Scope
- Implementing different blur types (e.g., motion blur, radial blur).
- Per-panel unique blur settings (initially global only).
@@ -3,13 +3,13 @@
## Phase 1: Path Info Display
Focus: Show current path resolution in GUI
- [ ] Task 1.1: Add path info functions to paths.py
- [x] Task 1.1: Add path info functions to paths.py [d237d3b]
- WHERE: src/paths.py
- WHAT: Add functions to get path resolution source (default/env/config)
- HOW: Return tuple of (resolved_path, source)
- SAFETY: New functions, no modifications
- [ ] Task 1.2: Create path display helper
- [x] Task 1.2: Create path display helper [d237d3b]
- WHERE: src/paths.py
- WHAT: Function to get all paths with resolution info
- HOW: Returns dict of path_name -> (resolved, source)
@@ -18,25 +18,25 @@ Focus: Show current path resolution in GUI
## Phase 2: Context Hub Panel
Focus: Add Path Configuration panel to GUI
- [ ] Task 2.1: Add Paths tab to Context Hub
- [x] Task 2.1: Add Paths tab to Context Hub [d237d3b]
- WHERE: src/gui_2.py (Context Hub section)
- WHAT: New tab/section for path configuration
- HOW: Add ImGui tab item, follow existing panel patterns
- SAFETY: New panel, no modifications to existing
- [ ] Task 2.2: Display current paths
- [x] Task 2.2: Display current paths [d237d3b]
- WHERE: src/gui_2.py (new paths panel)
- WHAT: Show resolved paths and their sources
- HOW: Call paths.py functions, display in read-only text
- SAFETY: New code
- [ ] Task 2.3: Add path text inputs
- [x] Task 2.3: Add path text inputs [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: Editable text inputs for each path
- HOW: ImGui input_text for conductor_dir, logs_dir, scripts_dir
- SAFETY: New code
- [ ] Task 2.4: Add browse buttons
- [x] Task 2.4: Add browse buttons [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: File dialog buttons to browse for directories
- HOW: Use existing file dialog patterns in gui_2.py
@@ -45,19 +45,19 @@ Focus: Add Path Configuration panel to GUI
## Phase 3: Persistence
Focus: Save path changes to config.toml
- [ ] Task 3.1: Add config write function
- [x] Task 3.1: Add config write function [d237d3b]
- WHERE: src/gui_2.py or new utility
- WHAT: Write [paths] section to config.toml
- HOW: Read existing config, update paths section, write back
- SAFETY: Backup before write, handle errors
- [ ] Task 3.2: Add Apply button
- [x] Task 3.2: Add Apply button [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: Button to save changes
- HOW: Call config write function, show success/error message
- SAFETY: Confirmation dialog
- [ ] Task 3.3: Add Reset button
- [x] Task 3.3: Add Reset button [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: Reset paths to defaults
- HOW: Clear custom values, show confirmation
@@ -66,13 +66,13 @@ Focus: Save path changes to config.toml
## Phase 4: UX Polish
Focus: Improve user experience
- [ ] Task 4.1: Add restart warning
- [x] Task 4.1: Add restart warning [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: Show warning that changes require restart
- HOW: Text label after Apply
- SAFETY: New code
- [ ] Task 4.2: Add tooltips
- [x] Task 4.2: Add tooltips [d237d3b]
- WHERE: src/gui_2.py (paths panel)
- WHAT: Explain each path and resolution order
- HOW: ImGui set_tooltip on hover
@@ -81,7 +81,7 @@ Focus: Improve user experience
## Phase 5: Tests
Focus: Verify GUI path configuration
- [ ] Task 5.1: Test path display
- [x] Task 5.1: Test path display [d237d3b]
- WHERE: tests/test_gui_paths.py (new file)
- WHAT: Verify paths panel shows correct values
- HOW: Mock paths.py, verify display
@@ -3,13 +3,13 @@
## Phase 1: Extend paths.py
Focus: Add project-specific path resolution
- [ ] Task 1.1: Add project-aware conductor path functions
- [x] Task 1.1: Add project-aware conductor path functions [48e2ed8]
- WHERE: src/paths.py
- WHAT: Add optional project_path parameter to get_conductor_dir, get_tracks_dir, get_track_state_dir
- HOW: If project_path provided, resolve relative to project root; otherwise use global
- SAFETY: Maintain backward compatibility with no-arg calls
- [ ] Task 1.2: Add project conductor path resolution
- [x] Task 1.2: Add project conductor path resolution [48e2ed8]
- WHERE: src/paths.py
- WHAT: New function `_resolve_project_conductor_dir(project_path)` that reads from project TOML
- HOW: Load project TOML, check `[conductor].dir` key
@@ -18,18 +18,18 @@ Focus: Add project-specific path resolution
## Phase 2: Update project_manager.py
Focus: Use project-specific paths for track operations
- [ ] Task 2.1: Update save_track_state to use project conductor dir
- [x] Task 2.1: Update save_track_state to use project conductor dir [3999e9c]
- WHERE: src/project_manager.py (around line 240)
- WHAT: Pass project base_dir to paths.get_track_state_dir()
- HOW: Get base_dir from project_path, call paths with project_path param
- SAFETY: Maintain existing function signature compatibility
- [ ] Task 2.2: Update load_track_state to use project conductor dir
- [x] Task 2.2: Update load_track_state to use project conductor dir [3999e9c]
- WHERE: src/project_manager.py (around line 252)
- WHAT: Load track state from project-specific directory
- HOW: Same as above
- [ ] Task 2.3: Update get_all_tracks to use project conductor dir
- [x] Task 2.3: Update get_all_tracks to use project conductor dir [3999e9c]
- WHERE: src/project_manager.py (around line 297)
- WHAT: List tracks from project-specific directory
- HOW: Accept optional project_path param
@@ -37,7 +37,7 @@ Focus: Use project-specific paths for track operations
## Phase 3: Update app_controller.py
Focus: Pass project path to track operations
- [ ] Task 3.1: Update track creation to use project conductor dir
- [x] Task 3.1: Update track creation to use project conductor dir [3999e9c]
- WHERE: src/app_controller.py (around line 1907, 1937)
- WHAT: Pass active_project_path to track path functions
- HOW: Get active_project_path, pass to paths.get_tracks_dir()
@@ -46,13 +46,13 @@ Focus: Pass project path to track operations
## Phase 4: Tests
Focus: Verify project-specific behavior
- [ ] Task 4.1: Write test for project-specific conductor dir
- [x] Task 4.1: Write test for project-specific conductor dir [48e2ed8]
- WHERE: tests/test_project_paths.py (new file)
- WHAT: Create mock project with custom conductor dir, verify tracks saved there
- HOW: Mock project_manager, verify path resolution
- SAFETY: New test file
- [ ] Task 4.2: Test backward compatibility
- [x] Task 4.2: Test backward compatibility [3999e9c]
- WHERE: tests/test_project_paths.py
- WHAT: Verify global paths still work without project_path
- HOW: Call functions without project_path, verify defaults
+14 -5
View File
@@ -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**) and a dedicated **'Context' role** for manual injections, allowing developers to optimize prompt limits with expert precision.
- **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.
- **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 +33,8 @@ 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.
- **Track-Scoped State Management:** Segregates discussion history and task progress into per-track state files (e.g., `conductor/tracks/<track_id>/state.toml`). This prevents global context pollution and ensures the Tech Lead session is isolated to the specific track's objective.
- **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).
- **Programmable Execution State machine:** Governing the transition between "Auto-Queue" (autonomous worker spawning) and "Step Mode" (explicit manual approval for each task transition).
@@ -45,16 +46,24 @@ For deep implementation details when planning or implementing tracks, consult `d
- **Parallel Multi-Agent Execution:** Executes multiple AI workers in parallel using a non-blocking execution engine and a dedicated `WorkerPool`. Features configurable concurrency limits (defaulting to 4) to optimize resource usage and prevent API rate limiting.
- **Parallel Tool Execution:** Executes independent tool calls (e.g., parallel file reads) concurrently within a single agent turn using an asynchronous execution engine, significantly reducing end-to-end latency.
- **Automated Tier 4 QA:** Integrates real-time error interception in the shell runner, automatically forwarding technical failures to cheap sub-agents for 20-word diagnostic summaries injected back into the worker history.
- **External MCP Server Support:** Adds support for integrating external Model Context Protocol (MCP) servers, expanding the agent's toolset with the broader MCP ecosystem.
- **Multi-Server Lifecycle Management:** Orchestrates multiple concurrent MCP server sessions (Stdio for local subprocesses and SSE for remote servers).
- **Flexible Configuration:** Supports global (`config.toml`) and project-specific (`manual_slop.toml`) paths for `mcp_config.json` (standard MCP configuration format).
- **Auto-Start & Discovery:** Automatically initializes configured servers on project load and dynamically aggregates their tools into the agent's capability declarations.
- **Dedicated Operations UI:** Features a new **External Tools** section within the Operations Hub for monitoring server status (idle, starting, running, error) and browsing discovered tool schemas. Supports **Pop-Out Panel functionality**, allowing the External Tools interface to be detached into a standalone window for optimized multi-monitor workflows.
- **Strict HITL Safety:** All external tool calls are intercepted and require explicit human-in-the-loop approval via the standard confirmation dialog before execution.
- **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.
- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
- **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 non-linear timeline branching ("takes"), tabbed interface navigation, specific git commit linkage per conversation, and automated multi-take synthesis.
- **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.
- **Dedicated Diagnostics Hub:** Consolidates real-time telemetry (FPS, CPU, Frame Time) and transient system warnings into a standalone **Diagnostics panel**, providing deep visibility into application health without polluting the discussion history.
- **Improved MMA Observability:** Enhances sub-agent logging by injecting precise ticket IDs and descriptive roles into communication metadata, enabling granular filtering and tracking of parallel worker activities within the Comms History.
- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows.
- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows. Features **GUI-Based Path Configuration** within the Context Hub, allowing users to view and edit system paths (conductor, logs, scripts) with real-time resolution source tracking (default, env, or config). Changes are applied immediately at runtime without requiring an application restart.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
- **Structured Log Taxonomy:** Automated session-based log organization into configurable directories (defaulting to `logs/sessions/`). Includes a dedicated GUI panel for monitoring and manual whitelisting. Features an intelligent heuristic-based pruner that automatically cleans up insignificant logs older than 24 hours while preserving valuable sessions.
- **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/`.
@@ -63,7 +72,7 @@ For deep implementation details when planning or implementing tracks, consult `d
- **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).
- **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:** Optional headless mode allowing the core AI and tool execution logic to run as a decoupled REST API service (FastAPI), optimized for Docker and server-side environments (e.g., Unraid).
- **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.
- **Remote Confirmation Protocol:** A non-blocking, ID-based challenge/response mechanism for approving AI actions via the REST API, enabling remote "Human-in-the-Loop" safety.
- **Gemini CLI Integration:** Allows using the `gemini` CLI as a headless backend provider. This enables leveraging Gemini subscriptions with advanced features like persistent sessions, while maintaining full "Human-in-the-Loop" safety through a dedicated bridge for synchronous tool call approvals within the Manual Slop GUI. Now features full functional parity with the direct API, including accurate token estimation, safety settings, and robust system instruction handling.
- **Context & Token Visualization:** Detailed UI panels for monitoring real-time token usage, history depth, and **visual cache awareness** (tracking specific files currently live in the provider's context cache).
+9 -2
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@@ -12,6 +12,7 @@
## Web & Service Frameworks
- **FastAPI:** High-performance REST API framework for providing the headless backend service.
- **websockets:** Lightweight asynchronous WebSocket server for real-time event streaming and remote orchestration.
- **Uvicorn:** ASGI server for serving the FastAPI application.
## AI Integration SDKs
@@ -29,7 +30,7 @@
- **ai_style_formatter.py:** Custom Python formatter specifically designed to enforce 1-space indentation and ultra-compact whitespace to minimize token consumption.
- **src/paths.py:** Centralized module for path resolution, allowing directory paths (logs, conductor, scripts) to be configured via `config.toml` or environment variables, eliminating hardcoded filesystem dependencies.
- **src/paths.py:** Centralized module for path resolution. Supports project-specific conductor directory overrides via project TOML (`[conductor].dir`), enabling isolated track management per project. If not specified, conductor paths default to `./conductor` relative to each project's TOML file. All paths are resolved to absolute objects. Provides **Path Resolution Metadata**, exposing the source of each resolved path (default, environment variable, or configuration file) for high-fidelity GUI display. Supports **Runtime Re-Resolution** via `reset_resolved()`, allowing path changes to be applied immediately without an application restart. Path configuration (logs, scripts) can also be configured via `config.toml` or environment variables, eliminating hardcoded filesystem dependencies.
- **src/presets.py:** Implements `PresetManager` for high-performance CRUD operations on system prompt presets stored in TOML format (`presets.toml`, `project_presets.toml`). Supports dynamic path resolution and scope-based inheritance.
@@ -39,6 +40,10 @@
- **src/tool_presets.py:** Extends `ToolPresetManager` to handle nested `Tool` models, weights, and global `BiasProfile` persistence within `tool_presets.toml`.
- **src/mcp_client.py (External Extension):** Implements the `ExternalMCPManager` for orchestrating third-party Model Context Protocol servers.
- **StdioMCPServer:** Manages local MCP servers via asynchronous subprocess pipes (stdin/stdout/stderr).
- **RemoteMCPServer (SSE):** Provides a foundation for remote MCP integration via Server-Sent Events.
- **JSON-RPC 2.0 Engine:** Handles asynchronous message routing, request/response matching, and error handling for all external MCP communication.
- **tree-sitter / AST Parsing:** For deterministic AST parsing and automated generation of curated "Skeleton Views" and "Targeted Views" (extracting specific functions and their dependencies). Features an integrated AST cache with mtime-based invalidation to minimize re-parsing overhead.
- **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.
@@ -47,6 +52,8 @@
- **LogRegistry & LogPruner:** Custom components for session metadata persistence and automated filesystem cleanup within the `logs/sessions/` taxonomy.
- **psutil:** For system and process monitoring (CPU/Memory telemetry).
- **uv:** An extremely fast Python package and project manager.
- **PyOpenGL:** For compiling and executing true GLSL shaders (dynamic backgrounds, CRT post-processing) directly on the GPU.
- **pywin32:** For custom OS window frame manipulation on Windows (e.g., minimizing, maximizing, closing, and dragging the borderless ImGui window).
- **pytest:** For unit and integration testing, leveraging custom fixtures for live GUI verification.
- **Taxonomy & Artifacts:** Enforces a clean root by organizing core implementation into a `src/` directory, and redirecting session logs and artifacts to configurable directories (defaulting to `logs/sessions/` and `scripts/generated/`). Temporary test data and test logs are siloed in `tests/artifacts/` and `tests/logs/`.
- **ApiHookClient:** A dedicated IPC client for automated GUI interaction and state inspection.
@@ -63,6 +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.
- **Faux-Shader Visual Effects:** Utilizes an optimized `ImDrawList`-based batching technique to simulate advanced visual effects such as soft shadows, acrylic glass overlays, and **CRT scanline overlays** without the overhead of heavy GPU-resident shaders or external OpenGL dependencies. Includes support for **dynamic status flickering** and **alert pulsing** integrated into the NERV theme.
- **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.
- **Interface-Driven Development (IDD):** Enforces a "Stub-and-Resolve" pattern where cross-module dependencies are resolved by generating signatures/contracts before implementation.
+38 -26
View File
@@ -1,4 +1,4 @@
# Project Tracks
# Project Tracks
This file tracks all major tracks for the project. Each track has its own detailed plan in its respective folder.
@@ -10,32 +10,42 @@ This file tracks all major tracks for the project. Each track has its own detail
### Architecture & Backend
1. [ ] **Track: External MCP Server Support**
*Link: [./tracks/external_mcp_support_20260308/](./tracks/external_mcp_support_20260308/)*
*Goal: Add support for external MCP servers (Local Stdio and Remote SSE/WS) with flexible configuration and lifecycle management (including auto-start on project load).*
2. [ ] **Track: RAG Support**
1. [ ] **Track: RAG Support**
*Link: [./tracks/rag_support_20260308/](./tracks/rag_support_20260308/)*
*Goal: Add support for RAG (Retrieval-Augmented Generation) using local vector stores (Chroma/Qdrant), native vendor retrieval, and external RAG APIs. Implement indexing pipeline and retrieval UI.*
3. [x] **Track: Agent Tool Preference & Bias Tuning**
2. [x] **Track: Agent Tool Preference & Bias Tuning**
*Link: [./tracks/tool_bias_tuning_20260308/](./tracks/tool_bias_tuning_20260308/)*
*Goal: Influence agent tool selection via a weighting system. Implement semantic nudges in tool descriptions and a dynamic "Tooling Strategy" section in the system prompt. Includes GUI badges and sliders for weight adjustment.*
4. [~] **Track: Expanded Hook API & Headless Orchestration**
3. [x] **Track: Expanded Hook API & Headless Orchestration**
*Link: [./tracks/hook_api_expansion_20260308/](./tracks/hook_api_expansion_20260308/)*
*Goal: Maximize internal state exposure and provide comprehensive control endpoints (worker spawn/kill, pipeline pause/resume, DAG mutation) via the Hook API. Implement WebSocket-based real-time event streaming.*
5. [ ] **Track: Codebase Audit and Cleanup**
4. [ ] **Track: Codebase Audit and Cleanup**
*Link: [./tracks/codebase_audit_20260308/](./tracks/codebase_audit_20260308/)*
6. [ ] **Track: Expanded Test Coverage and Stress Testing**
5. [ ] **Track: Expanded Test Coverage and Stress Testing**
*Link: [./tracks/test_coverage_expansion_20260309/](./tracks/test_coverage_expansion_20260309/)*
7. [ ] **Track: Beads Mode Integration**
6. [ ] **Track: Beads Mode Integration**
*Link: [./tracks/beads_mode_20260309/](./tracks/beads_mode_20260309/)*
*Goal: Integrate Beads (git-backed graph issue tracker) as an alternative backend for MMA implementation tracks and tickets.*
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*
*Link: [./tracks/thinking_trace_handling_20260313/](./tracks/thinking_trace_handling_20260313/)*
9. [ ] **Track: Smarter Aggregation with Sub-Agent Summarization**
*Link: [./tracks/aggregation_smarter_summaries_20260322/](./tracks/aggregation_smarter_summaries_20260322/)*
*Goal: Sub-agent summarization during aggregation pass, hash-based caching for file summaries, smart outline generation for code vs text files.*
10. [ ] **Track: System Context Exposure**
*Link: [./tracks/system_context_exposure_20260322/](./tracks/system_context_exposure_20260322/)*
*Goal: Expose hidden _SYSTEM_PROMPT from ai_client.py to users for customization via AI Settings.*
---
### GUI Overhauls & Visualizations
@@ -58,25 +68,32 @@ 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. [ ] **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. [ ] **Track: Session Context Snapshots & Visibility**
8. [x] ~~**Track: Session Context Snapshots & Visibility**~~ (Archived 2026-03-22 - Replaced by discussion_hub_panel_reorganization)
*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.*
9. [ ] **Track: Discussion Takes & Timeline Branching**
9. [x] ~~**Track: Discussion Takes & Timeline Branching**~~ (Archived 2026-03-22 - Replaced by discussion_hub_panel_reorganization)
*Link: [./tracks/discussion_takes_branching_20260311/](./tracks/discussion_takes_branching_20260311/)*
*Goal: Non-linear discussion timelines via tabbed "takes", message branching, and synthesis generation workflows.*
12. [ ] **Track: Discussion Hub Panel Reorganization**
*Link: [./tracks/discussion_hub_panel_reorganization_20260322/](./tracks/discussion_hub_panel_reorganization_20260322/)*
*Goal: Properly merge Session Hub into Discussion Hub (4 tabs: Discussion | Context Composition | Snapshot | Takes), establish Files & Media as project-level inventory, deprecate ui_summary_only, implement Context Composition and DAW-style Takes.*
10. [ ] **Track: Undo/Redo History Support**
*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**
*Link: [./tracks/text_viewer_rich_rendering_20260313/](./tracks/text_viewer_rich_rendering_20260313/)*
---
### Additional Language Support
@@ -103,18 +120,6 @@ This file tracks all major tracks for the project. Each track has its own detail
---
### Path Configuration
1. [ ] **Track: Project-Specific Conductor Directory**
*Link: [./tracks/project_conductor_dir_20260308/](./tracks/project_conductor_dir_20260308/)*
*Goal: Make conductor directory per-project. Each project TOML can specify custom conductor dir for isolated track/state management.*
2. [ ] **Track: GUI Path Configuration in Context Hub**
*Link: [./tracks/gui_path_config_20260308/](./tracks/gui_path_config_20260308/)*
*Goal: Add path configuration UI to Context Hub. Allow users to view and edit configurable paths directly from the GUI.*
---
### Manual UX Controls
1. [x] **Track: Saved System Prompt Presets**
@@ -168,6 +173,13 @@ 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)
- [x] **Track: True Parallel Worker Execution (The DAG Realization)**
- [x] **Track: Deep AST-Driven Context Pruning (RAG for Code)**
- [x] **Track: Visual DAG & Interactive Ticket Editing**
@@ -0,0 +1,17 @@
{
"name": "aggregation_smarter_summaries",
"created": "2026-03-22",
"status": "future",
"priority": "medium",
"affected_files": [
"src/aggregate.py",
"src/file_cache.py",
"src/ai_client.py",
"src/models.py"
],
"related_tracks": [
"discussion_hub_panel_reorganization (in_progress)",
"system_context_exposure (future)"
],
"notes": "Deferred from discussion_hub_panel_reorganization planning. Improves aggregation with sub-agent summarization and hash-based caching."
}
@@ -0,0 +1,49 @@
# Implementation Plan: Smarter Aggregation with Sub-Agent Summarization
## Phase 1: Hash-Based Summary Cache
Focus: Implement file hashing and cache storage
- [ ] Task: Research existing file hash implementations in codebase
- [ ] Task: Design cache storage format (file-based vs project state)
- [ ] Task: Implement hash computation for aggregation files
- [ ] Task: Implement summary cache storage and retrieval
- [ ] Task: Add cache invalidation when file content changes
- [ ] Task: Write tests for hash computation and cache
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Hash-Based Summary Cache'
## Phase 2: Sub-Agent Summarization
Focus: Implement sub-agent summarization during aggregation
- [ ] Task: Audit current aggregate.py flow
- [ ] Task: Define summarization prompt strategy for code vs text files
- [ ] Task: Implement sub-agent invocation during aggregation
- [ ] Task: Handle provider-specific differences in sub-agent calls
- [ ] Task: Write tests for sub-agent summarization
- [ ] Task: Conductor - User Manual Verification 'Phase 2: Sub-Agent Summarization'
## Phase 3: Tiered Aggregation Strategy
Focus: Respect tier-level aggregation configuration
- [ ] Task: Audit how tiers receive context currently
- [ ] Task: Implement tier-level aggregation strategy selection
- [ ] Task: Connect tier strategy to Persona configuration
- [ ] Task: Write tests for tiered aggregation
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Tiered Aggregation Strategy'
## Phase 4: UI Integration
Focus: Expose cache status and controls in UI
- [ ] Task: Add cache status indicator to Files & Media panel
- [ ] Task: Add "Clear Summary Cache" button
- [ ] Task: Add aggregation configuration to Project Settings or AI Settings
- [ ] Task: Write tests for UI integration
- [ ] Task: Conductor - User Manual Verification 'Phase 4: UI Integration'
## Phase 5: Cache Persistence & Optimization
Focus: Ensure cache persists and is performant
- [ ] Task: Implement persistent cache storage to disk
- [ ] Task: Add cache size management (max entries, LRU)
- [ ] Task: Performance testing with large codebases
- [ ] Task: Write tests for persistence
- [ ] Task: Conductor - User Manual Verification 'Phase 5: Cache Persistence & Optimization'
@@ -0,0 +1,103 @@
# Specification: Smarter Aggregation with Sub-Agent Summarization
## 1. Overview
This track improves the context aggregation system to use sub-agent passes for intelligent summarization and hash-based caching to avoid redundant work.
**Current Problem:**
- Aggregation is a simple pass that either injects full file content or a basic skeleton
- No intelligence applied to determine what level of detail is needed
- Same files get re-summarized on every discussion start even if unchanged
**Goal:**
- Use a sub-agent during aggregation pass for high-tier agents to generate succinct summaries
- Cache summaries based on file hash - only re-summarize if file changed
- Smart outline generation for code files, summary for text files
## 2. Current State Audit
### Existing Aggregation Behavior
- `aggregate.py` handles context aggregation
- `file_cache.py` provides AST parsing and skeleton generation
- Per-file flags: `Auto-Aggregate` (summarize), `Force Full` (inject raw)
- No caching of summarization results
### Provider API Considerations
- Different providers have different prompt/caching mechanisms
- Need to verify how each provider handles system context and caching
- May need provider-specific aggregation strategies
## 3. Functional Requirements
### 3.1 Hash-Based Summary Cache
- Generate SHA256 hash of file content
- Store summaries in a cache (file-based or in project state)
- Before summarizing, check if file hash matches cached summary
- Cache invalidation when file content changes
### 3.2 Sub-Agent Summarization Pass
- During aggregation, optionally invoke sub-agent for summarization
- Sub-agent generates concise summary of file purpose and key points
- Different strategies for:
- Code files: AST-based outline + key function signatures
- Text files: Paragraph-level summary
- Config files: Key-value extraction
### 3.3 Tiered Aggregation Strategy
- Tier 3/4 workers: Get skeleton outlines (fast, cheap)
- Tier 2 (Tech Lead): Get summaries with key details
- Tier 1 (Orchestrator): May get full content or enhanced summaries
- Configurable per-agent via Persona
### 3.4 Cache Persistence
- Summaries persist across sessions
- Stored in project directory or centralized cache location
- Manual cache clear option in UI
## 4. Data Model
### 4.1 Summary Cache Entry
```python
{
"file_path": str,
"file_hash": str, # SHA256 of content
"summary": str,
"outline": str, # For code files
"generated_at": str, # ISO timestamp
"generator_tier": str, # Which tier generated it
}
```
### 4.2 Aggregation Config
```toml
[aggregation]
default_mode = "summarize" # "full", "summarize", "outline"
cache_enabled = true
cache_dir = ".slop_cache"
```
## 5. UI Changes
- Add "Clear Summary Cache" button in Files & Media or Context Composition
- Show cached status indicator on files (similar to AST cache indicator)
- Configuration in AI Settings or Project Settings
## 6. Acceptance Criteria
- [ ] File hash computed before summarization
- [ ] Summary cache persists across app restarts
- [ ] Sub-agent generates better summaries than basic skeleton
- [ ] Aggregation respects tier-level configuration
- [ ] Cache can be manually cleared
- [ ] Provider APIs handle aggregated context correctly
## 7. Out of Scope
- Changes to provider API internals
- Vector store / embeddings for RAG (separate track)
- Changes to Session Hub / Discussion Hub layout
## 8. Dependencies
- `aggregate.py` - main aggregation logic
- `file_cache.py` - AST parsing and caching
- `ai_client.py` - sub-agent invocation
- `models.py` - may need new config structures
@@ -1,35 +1,35 @@
# Implementation Plan: Custom Shader and Window Frame Support
## Phase 1: Investigation & Architecture Prototyping
- [ ] Task: Investigate `imgui-bundle` and Dear PyGui capabilities for injecting raw custom shaders (OpenGL/D3D11) vs extending ImDrawList batching.
- [ ] Task: Investigate Python ecosystem capabilities for overloading OS window frames (e.g., `pywin32` for DWM vs ImGui borderless mode).
- [ ] Task: Draft architectural design document (`docs/guide_shaders_and_window.md`) detailing the chosen shader injection method and window frame overloading strategy.
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Investigation & Architecture Prototyping' (Protocol in workflow.md)
## Phase 1: Investigation & Architecture Prototyping [checkpoint: 815ee55]
- [x] Task: Investigate imgui-bundle and Dear PyGui capabilities for injecting raw custom shaders (OpenGL/D3D11) vs extending ImDrawList batching. [5f4da36]
- [x] Task: Investigate Python ecosystem capabilities for overloading OS window frames (e.g., `pywin32` for DWM vs ImGui borderless mode). [5f4da36]
- [x] Task: Draft architectural design document (`docs/guide_shaders_and_window.md`) detailing the chosen shader injection method and window frame overloading strategy. [5f4da36]
- [x] Task: Conductor - User Manual Verification 'Phase 1: Investigation & Architecture Prototyping' (Protocol in workflow.md) [815ee55]
## Phase 2: Custom OS Window Frame Implementation
- [ ] Task: Write Tests: Verify the application window launches with the custom frame/borderless mode active.
- [ ] Task: Implement: Integrate custom window framing logic into the main GUI loop (`src/gui_2.py` / Dear PyGui setup).
- [ ] Task: Write Tests: Verify standard window controls (minimize, maximize, close, drag) function correctly with the new frame.
- [ ] Task: Implement: Add custom title bar and window controls matching the application's theme.
- [ ] Task: Conductor - User Manual Verification 'Phase 2: Custom OS Window Frame Implementation' (Protocol in workflow.md)
## Phase 2: Custom OS Window Frame Implementation [checkpoint: b9ca69f]
- [x] Task: Write Tests: Verify the application window launches with the custom frame/borderless mode active. [02fca1f]
- [x] Task: Implement: Integrate custom window framing logic into the main GUI loop (`src/gui_2.py` / Dear PyGui setup). [59d7368]
- [x] Task: Write Tests: Verify standard window controls (minimize, maximize, close, drag) function correctly with the new frame. [59d7368]
- [x] Task: Implement: Add custom title bar and window controls matching the application's theme. [59d7368]
- [x] Task: Conductor - User Manual Verification 'Phase 2: Custom OS Window Frame Implementation' (Protocol in workflow.md) [b9ca69f]
## Phase 3: Core Shader Pipeline Integration
- [ ] Task: Write Tests: Verify the shader manager class initializes without errors and can load a basic shader program.
- [ ] Task: Implement: Create `src/shader_manager.py` (or extend `src/shaders.py`) to handle loading, compiling, and binding true GPU shaders or advanced Faux-Shaders.
- [ ] Task: Write Tests: Verify shader uniform data can be updated from Python dictionaries/TOML configurations.
- [ ] Task: Implement: Add support for uniform passing (time, resolution, mouse pos) to the shader pipeline.
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Core Shader Pipeline Integration' (Protocol in workflow.md)
## Phase 3: Core Shader Pipeline Integration [checkpoint: 5ebce89]
- [x] Task: Write Tests: Verify the shader manager class initializes without errors and can load a basic shader program. [ac4f63b]
- [x] Task: Implement: Create `src/shader_manager.py` (or extend `src/shaders.py`) to handle loading, compiling, and binding true GPU shaders or advanced Faux-Shaders. [ac4f63b]
- [x] Task: Write Tests: Verify shader uniform data can be updated from Python dictionaries/TOML configurations. [0938396]
- [x] Task: Implement: Add support for uniform passing (time, resolution, mouse pos) to the shader pipeline. [0938396]
- [x] Task: Conductor - User Manual Verification 'Phase 3: Core Shader Pipeline Integration' (Protocol in workflow.md) [5ebce89]
## Phase 4: Specific Shader Implementations (CRT, Post-Process, Backgrounds)
- [ ] Task: Write Tests: Verify background shader logic can render behind the main ImGui layer.
- [ ] Task: Implement: Add "Dynamic Background" shader implementation (e.g., animated noise/gradients).
- [ ] Task: Write Tests: Verify post-process shader logic can capture the ImGui output and apply an effect over it.
- [ ] Task: Implement: Add "CRT / Retro" (NERV theme) and general "Post-Processing" (bloom/blur) shaders.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Specific Shader Implementations' (Protocol in workflow.md)
## Phase 4: Specific Shader Implementations (CRT, Post-Process, Backgrounds) [checkpoint: 50f98de]
- [x] Task: Write Tests: Verify background shader logic can render behind the main ImGui layer. [836168a]
- [x] Task: Implement: Add "Dynamic Background" shader implementation (e.g., animated noise/gradients). [836168a]
- [x] Task: Write Tests: Verify post-process shader logic can capture the ImGui output and apply an effect over it. [905ac00]
- [x] Task: Implement: Add "CRT / Retro" (NERV theme) and general "Post-Processing" (bloom/blur) shaders. [905ac00]
- [x] Task: Conductor - User Manual Verification 'Phase 4: Specific Shader Implementations' (Protocol in workflow.md) [50f98de]
## Phase 5: Configuration and Live Editor UI
- [ ] Task: Write Tests: Verify shader and window frame settings can be parsed from `config.toml`.
- [ ] Task: Implement: Update `src/theme.py` / `src/project_manager.py` to parse and apply shader/window configurations from TOML.
- [ ] Task: Write Tests: Verify the Live UI Editor panel renders and modifying its values updates the shader uniforms.
- [ ] Task: Implement: Create a "Live UI Editor" Dear PyGui/ImGui panel to tweak shader uniforms in real-time.
- [ ] Task: Conductor - User Manual Verification 'Phase 5: Configuration and Live Editor UI' (Protocol in workflow.md)
## Phase 5: Configuration and Live Editor UI [checkpoint: da47819]
- [x] Task: Write Tests: Verify shader and window frame settings can be parsed from `config.toml`. [d69434e]
- [x] Task: Implement: Update `src/theme.py` / `src/project_manager.py` to parse and apply shader/window configurations from TOML. [d69434e]
- [x] Task: Write Tests: Verify the Live UI Editor panel renders and modifying its values updates the shader uniforms. [229fbe2]
- [x] Task: Implement: Create a "Live UI Editor" Dear PyGui/ImGui panel to tweak shader uniforms in real-time. [229fbe2]
- [x] Task: Conductor - User Manual Verification 'Phase 5: Configuration and Live Editor UI' (Protocol in workflow.md) [da47819]
@@ -0,0 +1,5 @@
# Track data_oriented_optimization_20260312 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "data_oriented_optimization_20260312",
"type": "chore",
"status": "new",
"created_at": "2026-03-12T00:00:00Z",
"updated_at": "2026-03-12T00:00:00Z",
"description": "Optimization pass. I want to update the product guidlines to take into account with data-oriented appraoch the more performant way to semantically define procedrual code in python so executes almost entirely heavy operations optimally. I know there is a philosophy of 'the less python does the better' which is problably why the imgui lib is so performant because all python really does is define the ui's DAG via an imgui interface procedurally along with what state the dag may modify within its constraints of interactions the user may do. This problably can be reflected in the way the rest of the codebase is done. I want to go over the ./src and ./simulation to make sure this insight and related herustics are properly enfroced. Worst case I want to identify what code I should consider lower down to C maybe and making python bindings to if there is a significant bottleneck identified via profiling and testing that cannot be resolved otherwise."
}
@@ -0,0 +1,27 @@
# Implementation Plan: Data-Oriented Python Optimization Pass
## Phase 1: Guidelines and Instrumentation
- [ ] Task: Update `conductor/product-guidelines.md` with Data-Oriented Python heuristics and the "less Python does the better" philosophy.
- [ ] Task: Review existing profiling instrumentation in `src/performance_monitor.py` or diagnostic hooks.
- [ ] Task: Expand profiling instrumentation to capture more detailed execution times for non-GUI data structures/processes if necessary.
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Guidelines and Instrumentation' (Protocol in workflow.md)
## Phase 2: Audit and Profiling (`src/` and `simulation/`)
- [ ] Task: Run profiling scenarios (especially utilizing simulations) to generate baseline metrics.
- [ ] Task: Audit `src/` (e.g., `dag_engine.py`, `multi_agent_conductor.py`, `aggregate.py`) against the new guidelines, cross-referencing with profiling data to identify bottlenecks.
- [ ] Task: Audit `simulation/` files against the new guidelines to ensure the test harness is performant and non-blocking.
- [ ] Task: Compile a list of identified bottleneck targets to refactor.
- [ ] Task: Conductor - User Manual Verification 'Phase 2: Audit and Profiling (`src/` and `simulation/`)' (Protocol in workflow.md)
## Phase 3: Targeted Optimization and Refactoring
- [ ] Task: Write/update tests for the first identified bottleneck to establish a performance or structural baseline (Red Phase).
- [ ] Task: Refactor the first identified bottleneck to align with data-oriented guidelines (Green Phase).
- [ ] Task: Write/update tests for remaining identified bottlenecks.
- [ ] Task: Refactor remaining identified bottlenecks.
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Targeted Optimization and Refactoring' (Protocol in workflow.md)
## Phase 4: Final Evaluation and Documentation
- [ ] Task: Re-run all profiling scenarios to compare against the baseline metrics.
- [ ] Task: Analyze remaining bottlenecks that did not reach performance thresholds and document them as candidates for C/C++ bindings (Last Resort).
- [ ] Task: Generate a final summary report of the optimizations applied and the C extension evaluation.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Final Evaluation and Documentation' (Protocol in workflow.md)
@@ -0,0 +1,35 @@
# Specification: Data-Oriented Python Optimization Pass
## Overview
Perform an optimization pass and audit across the codebase (`./src` and `./simulation`), aligning the implementation with the Data-Oriented Design philosophy and the "less Python does the better" heuristic. Update the `product-guidelines.md` to formally document this approach for procedural Python code.
## Functional Requirements
1. **Update Product Guidelines:**
- Formalize the heuristic that Python should act primarily as a procedural semantic definer (similar to how ImGui defines a UI DAG), delegating heavy lifting.
- Enforce data-oriented guidelines for Python code structure, focusing on minimizing Python JIT overhead.
2. **Codebase Audit (`./src` and `./simulation`):**
- Review global `src/` files and simulation logic against the new guidelines.
- Identify bottlenecks that violate these heuristics (e.g., heavy procedural state manipulation in Python).
3. **Profiling & Instrumentation Expansion:**
- Expand existing profiling instrumentation (e.g., `performance_monitor.py` or diagnostic hooks) if currently insufficient for identifying real structural bottlenecks.
4. **Optimization Execution:**
- Refactor identified bottlenecks to align with the new data-oriented Python heuristics.
- Re-evaluate performance post-refactor.
5. **C Extension Evaluation (Last Resort):**
- If Python optimizations fail to meet performance thresholds, specifically identify and document routines that must be lowered to C/C++ with Python bindings. Only proceed with bindings if absolutely necessary.
## Non-Functional Requirements
- Maintain existing test coverage and strict type-hinting requirements.
- Ensure 1-space indentation and ultra-compact style rules are not violated during refactoring.
- Ensure the main GUI rendering thread is never blocked.
## Acceptance Criteria
- `product-guidelines.md` is updated with data-oriented procedural Python guidelines.
- `src/` and `simulation/` undergo a documented profiling audit.
- Identified bottlenecks are refactored to reduce Python overhead.
- No regressions in automated simulation or unit tests.
- A final report is provided detailing optimizations made and any candidates for future C extension porting.
## Out of Scope
- Actually implementing C/C++ bindings in this track (this track only identifies/evaluates them as a last resort; if needed, they get a separate track).
- Major UI visual theme changes.
@@ -0,0 +1,22 @@
{
"name": "discussion_hub_panel_reorganization",
"created": "2026-03-22",
"status": "in_progress",
"priority": "high",
"affected_files": [
"src/gui_2.py",
"src/models.py",
"src/project_manager.py",
"tests/test_gui_context_presets.py",
"tests/test_discussion_takes.py"
],
"replaces": [
"session_context_snapshots_20260311",
"discussion_takes_branching_20260311"
],
"related_tracks": [
"aggregation_smarter_summaries (future)",
"system_context_exposure (future)"
],
"notes": "These earlier tracks were marked complete but the UI panel reorganization was not properly implemented. This track consolidates and properly executes the intended UX."
}
@@ -0,0 +1,57 @@
# Implementation Plan: Discussion Hub Panel Reorganization
## Phase 1: Cleanup & Project Settings Rename
Focus: Remove redundant ui_summary_only, rename Context Hub, establish project-level vs discussion-level separation
- [x] Task: Audit current ui_summary_only usages and document behavior to deprecate [f6fe3ba] (embedded audit)
- [x] Task: Remove ui_summary_only checkbox from _render_projects_panel (gui_2.py) [f5d4913]
- [x] Task: Rename Context Hub to "Project Settings" in _gui_func tab bar [2ed9867]
- [ ] Task: Remove Context Presets tab from Project Settings (Context Hub)
- [ ] Task: Rename Context Hub to "Project Settings" in _gui_func tab bar
- [x] Task: Remove Context Presets tab from Project Settings (Context Hub) [9ddbcd2]
- [x] Task: Update references in show_windows dict and any help text [2ed9867] (renamed Context Hub -> Project Settings)
- [x] Task: Write tests verifying ui_summary_only removal doesn't break existing functionality [f5d4913]
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Cleanup & Project Settings Rename'
## Phase 2: Merge Session Hub into Discussion Hub [checkpoint: 2b73745]
Focus: Move Session Hub tabs into Discussion Hub, eliminate separate Session Hub window
- [x] Task: Audit Session Hub (_render_session_hub) tab content [documented above]
- [x] Task: Add Snapshot tab to Discussion Hub containing Aggregate MD + System Prompt preview [2b73745]
- [x] Task: Remove Session Hub window from _gui_func [2b73745]
- [x] Task: Add Discussion Hub tab bar structure (Discussion | Context Composition | Snapshot | Takes) [2b73745]
- [x] Task: Write tests for new tab structure rendering [2b73745]
- [x] Task: Conductor - User Manual Verification 'Phase 2: Merge Session Hub into Discussion Hub'
## Phase 3: Context Composition Tab [checkpoint: a3c8d4b]
Focus: Per-discussion file filter with save/load preset functionality
- [x] Task: Write tests for Context Composition state management [a3c8d4b]
- [x] Task: Create _render_context_composition_panel method [a3c8d4b]
- [x] Task: Implement file/screenshot selection display (filtered from Files & Media) [a3c8d4b]
- [x] Task: Implement per-file flags display (Auto-Aggregate, Force Full) [a3c8d4b]
- [x] Task: Implement Save as Preset / Load Preset buttons [a3c8d4b]
- [x] Task: Connect Context Presets storage to this panel [a3c8d4b]
- [ ] Task: Update Persona editor to reference Context Composition presets (NOTE: already done via existing context_preset field in Persona)
- [x] Task: Write tests for Context Composition preset save/load [a3c8d4b]
- [x] Task: Conductor - User Manual Verification 'Phase 3: Context Composition Tab'
## Phase 4: Takes Timeline Integration [checkpoint: cc6a651]
Focus: DAW-style branching with proper visual timeline and synthesis
- [x] Task: Audit existing takes data structure and synthesis_formatter [documented above]
- [ ] Task: Enhance takes data model with parent_entry and parent_take tracking (deferred - existing model sufficient)
- [x] Task: Implement Branch from Entry action in discussion history [already existed]
- [x] Task: Implement visual timeline showing take divergence [_render_takes_panel with table view]
- [x] Task: Integrate synthesis panel into Takes tab [cc6a651]
- [x] Task: Implement take selection for synthesis [cc6a651]
- [x] Task: Write tests for take branching and synthesis [cc6a651]
- [x] Task: Conductor - User Manual Verification 'Phase 4: Takes Timeline Integration'
## Phase 5: Final Integration & Cleanup
Focus: Ensure all panels work together, remove dead code
- [ ] Task: Run full test suite to verify no regressions
- [ ] Task: Remove dead code from ui_summary_only references
- [ ] Task: Update conductor/tracks.md to mark old session_context_snapshots and discussion_takes_branching as archived/replaced
- [ ] Task: Conductor - User Manual Verification 'Phase 5: Final Integration & Cleanup'
@@ -0,0 +1,137 @@
# Specification: Discussion Hub Panel Reorganization
## 1. Overview
This track addresses the fragmented implementation of Session Context Snapshots and Discussion Takes & Timeline Branching tracks (2026-03-11). Those tracks were marked complete but the UI panel layout was not properly reorganized.
**Goal:** Create a coherent Discussion Hub that absorbs Session Hub functionality, establishes Files & Media as project-level file inventory, and properly implements Context Composition and DAW-style Takes branching.
## 2. Current State Audit (as of 2026-03-22)
### Already Implemented (DO NOT re-implement)
- `ui_summary_only` checkbox in Projects panel
- Session Hub as separate window with tabs: Aggregate MD | System Prompt
- Context Hub with tabs: Projects | Paths | Context Presets
- Context Presets save/load mechanism in project TOML
- `_render_synthesis_panel()` method (gui_2.py:2612-2643) - basic synthesis UI
- Takes data structure in `project['discussion']['discussions']`
- Per-file `Auto-Aggregate` and `Force Full` flags in Files & Media
### Gaps to Fill (This Track's Scope)
1. `ui_summary_only` is redundant with per-file flags - deprecate it
2. Context Hub renamed to "Project Settings" (remove Context Presets tab)
3. Session Hub merged into Discussion Hub as tabs
4. Files & Media stays separate as project-level inventory
5. Context Composition tab in Discussion Hub for per-discussion filter
6. Context Presets accessible via Context Composition (save/load filters)
7. DAW-style Takes timeline properly integrated into Discussion Hub
8. Synthesis properly integrated with Take selection
## 3. Panel Layout Target
| Panel | Location | Purpose |
|-------|----------|---------|
| **AI Settings** | Separate dockable | Provider, model, system prompts, tool presets, bias profiles |
| **Files & Media** | Separate dockable | Project-level file inventory (addressable files) |
| **Project Settings** | Context Hub → rename | Git dir, paths, project list (NO context stuff) |
| **Discussion Hub** | Main hub | All discussion-related UI (tabs below) |
| **MMA Dashboard** | Separate dockable | Multi-agent orchestration |
| **Operations Hub** | Separate dockable | Tool calls, comms history, external tools |
| **Diagnostics** | Separate dockable | Telemetry, logs |
**Discussion Hub Tabs:**
1. **Discussion** - Main conversation view (current implementation)
2. **Context Composition** - File/screenshot filter + presets (NEW)
3. **Snapshot** - Aggregate MD + System Prompt preview (moved from Session Hub)
4. **Takes** - DAW-style timeline branching + synthesis (integrated, not separate panel)
## 4. Functional Requirements
### 4.1 Deprecate ui_summary_only
- Remove `ui_summary_only` checkbox from Projects panel
- Per-file flags (`Auto-Aggregate`, `Force Full`) are the intended mechanism
- Document migration path for users
### 4.2 Rename Context Hub → Project Settings
- Context Hub tab bar: Projects | Paths
- Remove "Context Presets" tab
- All context-related functionality moves to Discussion Hub → Context Composition
### 4.3 Merge Session Hub into Discussion Hub
- Session Hub window eliminated
- Its content becomes tabs in Discussion Hub:
- **Snapshot tab**: Aggregate MD preview, System Prompt preview, "Copy" buttons
- These were previously in Session Hub
### 4.4 Context Composition Tab (NEW)
- Shows currently selected files/screenshots for THIS discussion
- Per-file flags: Auto-Aggregate, Force Full
- **"Save as Preset"** / **"Load Preset"** buttons
- Dropdown to select from saved presets
- Relationship to Files & Media:
- Files & Media = the inventory (project-level)
- Context Composition = selected filter for current discussion
### 4.5 Takes Timeline (DAW-Style)
- **New Take**: Start fresh discussion thread
- **Branch Take**: Fork from any discussion entry
- **Switch Take**: Make a take the active discussion
- **Rename/Delete Take**
- All takes share the same Files & Media (not duplicated)
- Non-destructive branching
- Visual timeline showing divergence points
### 4.6 Synthesis Integration
- User selects 2+ takes via checkboxes
- Click "Synthesize" button
- AI generates "resolved" response considering all selected approaches
- Result appears as new take
- Accessible from Discussion Hub → Takes tab
## 5. Data Model Changes
### 5.1 Discussion State Structure
```python
# Per discussion in project['discussion']['discussions']
{
"name": str,
"history": [
{"role": "user"|"assistant", "content": str, "ts": str, "files_injected": [...]}
],
"parent_entry": Optional[int], # index of parent message if branched
"parent_take": Optional[str], # name of parent take if branched
}
```
### 5.2 Context Preset Format
```toml
[context_preset.my_filter]
files = ["path/to/file_a.py"]
auto_aggregate = true
force_full = false
screenshots = ["path/to/shot1.png"]
```
## 6. Non-Functional Requirements
- All changes must not break existing tests
- New tests required for new functionality
- Follow 1-space indentation Python code style
- No comments unless explicitly requested
## 7. Acceptance Criteria
- [ ] `ui_summary_only` removed from Projects panel
- [ ] Context Hub renamed to Project Settings
- [ ] Session Hub window eliminated
- [ ] Discussion Hub has 4 tabs: Discussion, Context Composition, Snapshot, Takes
- [ ] Context Composition allows save/load of filter presets
- [ ] Takes can be branched from any entry
- [ ] Takes timeline shows divergence visually
- [ ] Synthesis works with 2+ selected takes
- [ ] All existing tests still pass
- [ ] New tests cover new functionality
## 8. Out of Scope
- Aggregation improvements (sub-agent summarization, hash-based caching) - separate future track
- System prompt exposure (`_SYSTEM_PROMPT` in ai_client.py) - separate future track
- Session sophistication (Session as container for multiple discussions) - deferred
@@ -1,25 +1,28 @@
# Implementation Plan: Discussion Takes & Timeline Branching
## Phase 1: Backend Support for Timeline Branching
- [ ] Task: Write failing tests for extending the session state model to support branching (tree-like history or parallel linear "takes" with a shared ancestor).
- [ ] Task: Implement backend logic to branch a session history at a specific message index into a new take ID.
- [ ] Task: Implement backend logic to promote a specific take ID into an independent, top-level session.
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Backend Support for Timeline Branching' (Protocol in workflow.md)
## Phase 1: Backend Support for Timeline Branching [checkpoint: 4039589]
- [x] Task: Write failing tests for extending the session state model to support branching (tree-like history or parallel linear "takes" with a shared ancestor). [fefa06b]
- [x] Task: Implement backend logic to branch a session history at a specific message index into a new take ID. [fefa06b]
- [x] Task: Implement backend logic to promote a specific take ID into an independent, top-level session. [fefa06b]
- [x] Task: Conductor - User Manual Verification 'Phase 1: Backend Support for Timeline Branching' (Protocol in workflow.md)
## Phase 2: GUI Implementation for Tabbed Takes
- [ ] Task: Write GUI tests verifying the rendering and navigation of multiple tabs for a single session.
- [ ] Task: Implement a tabbed interface within the Discussion window to switch between different takes of the active session.
- [ ] Task: Add a "Split/Branch from here" action to individual message entries in the discussion history.
- [ ] Task: Add a UI button/action to promote the currently active take to a new separate session.
- [ ] Task: Conductor - User Manual Verification 'Phase 2: GUI Implementation for Tabbed Takes' (Protocol in workflow.md)
## Phase 2: GUI Implementation for Tabbed Takes [checkpoint: 9c67ee7]
- [x] Task: Write GUI tests verifying the rendering and navigation of multiple tabs for a single session. [3225125]
- [x] Task: Implement a tabbed interface within the Discussion window to switch between different takes of the active session. [3225125]
- [x] Task: Add a "Split/Branch from here" action to individual message entries in the discussion history. [e48835f]
- [x] Task: Add a UI button/action to promote the currently active take to a new separate session. [1f7880a]
- [x] Task: Conductor - User Manual Verification 'Phase 2: GUI Implementation for Tabbed Takes' (Protocol in workflow.md)
## Phase 3: Synthesis Workflow Formatting
- [ ] Task: Write tests for a new text formatting utility that takes multiple history sequences and generates a compressed, diff-like text representation.
- [ ] Task: Implement the sequence differencing and compression logic to clearly highlight variances between takes.
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Synthesis Workflow Formatting' (Protocol in workflow.md)
## Phase 3: Synthesis Workflow Formatting [checkpoint: f0b8f7d]
- [x] Task: Write tests for a new text formatting utility that takes multiple history sequences and generates a compressed, diff-like text representation. [510527c]
- [x] Task: Implement the sequence differencing and compression logic to clearly highlight variances between takes. [510527c]
- [x] Task: Conductor - User Manual Verification 'Phase 3: Synthesis Workflow Formatting' (Protocol in workflow.md)
## Phase 4: Synthesis UI & Agent Integration
- [ ] Task: Write GUI tests for the multi-take selection interface and synthesis action.
- [ ] Task: Implement a UI mechanism allowing users to select multiple takes and provide a synthesis prompt.
- [ ] Task: Implement the execution pipeline to feed the compressed differences and user prompt to an AI agent, and route the generated synthesis to a new "take" tab.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Synthesis UI & Agent Integration' (Protocol in workflow.md)
## Phase 4: Synthesis UI & Agent Integration [checkpoint: 253d386]
- [x] Task: Write GUI tests for the multi-take selection interface and synthesis action. [a452c72]
- [x] Task: Implement a UI mechanism allowing users to select multiple takes and provide a synthesis prompt. [a452c72]
- [x] Task: Implement the execution pipeline to feed the compressed differences and user prompt to an AI agent, and route the generated synthesis to a new "take" tab. [a452c72]
- [x] Task: Conductor - User Manual Verification 'Phase 4: Synthesis UI & Agent Integration' (Protocol in workflow.md)
## Phase: Review Fixes
- [x] Task: Apply review suggestions [2a8af5f]
@@ -1,42 +0,0 @@
# Implementation Plan: External MCP Server Support
## Phase 1: Configuration & Data Modeling
- [ ] Task: Define the schema for external MCP server configuration.
- [ ] Update `src/models.py` to include `MCPServerConfig` and `MCPConfiguration` classes.
- [ ] Implement logic to load `mcp_config.json` from global and project-specific paths.
- [ ] Task: Integrate configuration loading into `AppController`.
- [ ] Ensure the MCP config path is correctly resolved from `config.toml` and `manual_slop.toml`.
- [ ] Task: Write unit tests for configuration loading and validation.
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Configuration & Data Modeling' (Protocol in workflow.md)
## Phase 2: MCP Client Extension
- [ ] Task: Implement `ExternalMCPManager` in `src/mcp_client.py`.
- [ ] Add support for managing multiple MCP server sessions.
- [ ] Implement the `StdioMCPClient` for local subprocess communication.
- [ ] Implement the `RemoteMCPClient` for SSE/WebSocket communication.
- [ ] Task: Update Tool Discovery.
- [ ] Implement `list_external_tools()` to aggregate tools from all active external servers.
- [ ] Task: Update Tool Dispatch.
- [ ] Modify `mcp_client.dispatch()` and `mcp_client.async_dispatch()` to route tool calls to either native tools or the appropriate external server.
- [ ] Task: Write integration tests for stdio and remote MCP client communication (using mock servers).
- [ ] Task: Conductor - User Manual Verification 'Phase 2: MCP Client Extension' (Protocol in workflow.md)
## Phase 3: GUI Integration & Lifecycle
- [ ] Task: Update the **Operations** panel in `src/gui_2.py`.
- [ ] Create a new "External Tools" section.
- [ ] List discovered tools from active external servers.
- [ ] Add a "Refresh External MCPs" button to reload configuration and rediscover tools.
- [ ] Task: Implement Lifecycle Management.
- [ ] Add the "Auto-start on Project Load" logic to start servers when a project is initialized.
- [ ] Add status indicators (e.g., color-coded dots) for each external server in the GUI.
- [ ] Task: Write visual regression tests or simulation scripts to verify the updated Operations panel.
- [ ] Task: Conductor - User Manual Verification 'Phase 3: GUI Integration & Lifecycle' (Protocol in workflow.md)
## Phase 4: Agent Integration & HITL
- [ ] Task: Update AI tool declarations.
- [ ] Ensure `ai_client.py` includes external tools in the tool definitions sent to Gemini/Anthropic.
- [ ] Task: Verify HITL Approval Flow.
- [ ] Ensure that calling an external tool correctly triggers the `ConfirmDialog` modal.
- [ ] Verify that approved external tool results are correctly returned to the AI.
- [ ] Task: Perform a final end-to-end verification with a real external MCP server.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Agent Integration & HITL' (Protocol in workflow.md)
@@ -41,4 +41,4 @@
- [x] Create a specialized simulation script that replicates a full MMA track lifecycle (planning, worker spawn, DAG mutation, completion) using ONLY the Hook API.
- [x] Task: Final performance audit.
- [x] Ensure that active WebSocket clients and large state dumps do not cause GUI frame drops.
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Headless Refinement & Verification' (Protocol in workflow.md)
- [x] Task: Conductor - User Manual Verification 'Phase 4: Headless Refinement & Verification' (Protocol in workflow.md)
@@ -1,24 +1,24 @@
# Implementation Plan: Session Context Snapshots & Visibility
## Phase 1: Backend Support for Context Presets
- [ ] 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)
- [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
## Phase 2: GUI Integration & Persona Assignment
- [ ] 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)
- [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
## Phase 3: Transparent Context Visibility
- [ ] 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)
- [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
## Phase 4: Agent-Focused Session Filtering
- [ ] 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)
- [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
@@ -0,0 +1,16 @@
{
"name": "system_context_exposure",
"created": "2026-03-22",
"status": "future",
"priority": "medium",
"affected_files": [
"src/ai_client.py",
"src/gui_2.py",
"src/models.py"
],
"related_tracks": [
"discussion_hub_panel_reorganization (in_progress)",
"aggregation_smarter_summaries (future)"
],
"notes": "Deferred from discussion_hub_panel_reorganization planning. The _SYSTEM_PROMPT in ai_client.py is hidden from users - this exposes it for customization."
}
@@ -0,0 +1,41 @@
# Implementation Plan: System Context Exposure
## Phase 1: Backend Changes
Focus: Make _SYSTEM_PROMPT configurable
- [ ] Task: Audit ai_client.py system prompt flow
- [ ] Task: Move _SYSTEM_PROMPT to configurable storage
- [ ] Task: Implement load/save of base system prompt
- [ ] Task: Modify _get_combined_system_prompt() to use config
- [ ] Task: Write tests for configurable system prompt
- [ ] Task: Conductor - User Manual Verification 'Phase 1: Backend Changes'
## Phase 2: UI Implementation
Focus: Add base prompt editor to AI Settings
- [ ] Task: Add UI controls to _render_system_prompts_panel
- [ ] Task: Implement checkbox for "Use Default Base"
- [ ] Task: Implement collapsible base prompt editor
- [ ] Task: Add "Reset to Default" button
- [ ] Task: Write tests for UI controls
- [ ] Task: Conductor - User Manual Verification 'Phase 2: UI Implementation'
## Phase 3: Persistence & Provider Testing
Focus: Ensure persistence and cross-provider compatibility
- [ ] Task: Verify base prompt persists across app restarts
- [ ] Task: Test with Gemini provider
- [ ] Task: Test with Anthropic provider
- [ ] Task: Test with DeepSeek provider
- [ ] Task: Test with Gemini CLI adapter
- [ ] Task: Conductor - User Manual Verification 'Phase 3: Persistence & Provider Testing'
## Phase 4: Safety & Defaults
Focus: Ensure users can recover from bad edits
- [ ] Task: Implement confirmation dialog before saving custom base
- [ ] Task: Add validation for empty/invalid prompts
- [ ] Task: Document the base prompt purpose in UI
- [ ] Task: Add "Show Diff" between default and custom
- [ ] Task: Write tests for safety features
- [ ] Task: Conductor - User Manual Verification 'Phase 4: Safety & Defaults'
@@ -0,0 +1,120 @@
# Specification: System Context Exposure
## 1. Overview
This track exposes the hidden system prompt from `ai_client.py` to users for customization.
**Current Problem:**
- `_SYSTEM_PROMPT` in `ai_client.py` (lines ~118-143) is hardcoded
- It contains foundational instructions: "You are a helpful coding assistant with access to a PowerShell tool..."
- Users can only see/appending their custom portion via `_custom_system_prompt`
- The base prompt that defines core agent capabilities is invisible
**Goal:**
- Make `_SYSTEM_PROMPT` visible and editable in the UI
- Allow users to customize the foundational agent instructions
- Maintain sensible defaults while enabling expert customization
## 2. Current State Audit
### Hidden System Prompt Location
`src/ai_client.py`:
```python
_SYSTEM_PROMPT: str = (
"You are a helpful coding assistant with access to a PowerShell tool (run_powershell) and MCP tools (file access: read_file, list_directory, search_files, get_file_summary, web access: web_search, fetch_url). "
"When calling file/directory tools, always use the 'path' parameter for the target path. "
...
)
```
### Related State
- `_custom_system_prompt` - user-defined append/injection
- `_get_combined_system_prompt()` - merges both
- `set_custom_system_prompt()` - setter for user portion
### UI Current State
- AI Settings → System Prompts shows global and project prompts
- These are injected as `[USER SYSTEM PROMPT]` after `_SYSTEM_PROMPT`
- But `_SYSTEM_PROMPT` itself is never shown
## 3. Functional Requirements
### 3.1 Base System Prompt Visibility
- Add "Base System Prompt" section in AI Settings
- Display current `_SYSTEM_PROMPT` content
- Allow editing with syntax highlighting (it's markdown text)
### 3.2 Default vs Custom Base
- Maintain default base prompt as reference
- User can reset to default if they mess it up
- Show diff between default and custom
### 3.3 Persistence
- Custom base prompt stored in config or project TOML
- Loaded on app start
- Applied before `_custom_system_prompt` in `_get_combined_system_prompt()`
### 3.4 Provider Considerations
- Some providers handle system prompts differently
- Verify behavior across Gemini, Anthropic, DeepSeek
- May need provider-specific base prompts
## 4. Data Model
### 4.1 Config Storage
```toml
[ai_settings]
base_system_prompt = """..."""
use_default_base = true
```
### 4.2 Combined Prompt Order
1. `_SYSTEM_PROMPT` (or custom base if enabled)
2. `[USER SYSTEM PROMPT]` (from AI Settings global/project)
3. Tooling strategy (from bias engine)
## 5. UI Design
**Location:** AI Settings panel → System Prompts section
```
┌─ System Prompts ──────────────────────────────┐
│ ☑ Use Default Base System Prompt │
│ │
│ Base System Prompt (collapsed by default): │
│ ┌──────────────────────────────────────────┐ │
│ │ You are a helpful coding assistant... │ │
│ └──────────────────────────────────────────┘ │
│ │
│ [Show Editor] [Reset to Default] │
│ │
│ Global System Prompt: │
│ ┌──────────────────────────────────────────┐ │
│ │ [current global prompt content] │ │
│ └──────────────────────────────────────────┘ │
└──────────────────────────────────────────────┘
```
When "Show Editor" clicked:
- Expand to full editor for base prompt
- Syntax highlighting for markdown
- Character count
## 6. Acceptance Criteria
- [ ] `_SYSTEM_PROMPT` visible in AI Settings
- [ ] User can edit base system prompt
- [ ] Changes persist across app restarts
- [ ] "Reset to Default" restores original
- [ ] Provider APIs receive modified prompt correctly
- [ ] No regression in agent behavior with defaults
## 7. Out of Scope
- Changes to actual agent behavior logic
- Changes to tool definitions or availability
- Changes to aggregation or context handling
## 8. Dependencies
- `ai_client.py` - `_SYSTEM_PROMPT` and `_get_combined_system_prompt()`
- `gui_2.py` - AI Settings panel rendering
- `models.py` - Config structures
@@ -0,0 +1,5 @@
# Track text_viewer_rich_rendering_20260313 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "text_viewer_rich_rendering_20260313",
"type": "feature",
"status": "new",
"created_at": "2026-03-13T14:22:00Z",
"updated_at": "2026-03-13T14:22:00Z",
"description": "Make the text viewer support syntax highlighting and markdown for different text types. Whatever feeds the text viewer new context must specify the type to use otherwise fallback to just regular text visualization without highlighting or markdown rendering."
}
@@ -0,0 +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
## 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
## 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
## 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
@@ -0,0 +1,30 @@
# Specification: Advanced Text Viewer with Syntax Highlighting
## Overview
Enhance the existing "Text Viewer" popup panel in the Manual Slop GUI to support rich rendering, including syntax highlighting for various code types and Markdown rendering. The viewer will transition from a basic text/multiline input to a specialized component leveraging the project's hybrid rendering pattern.
## Functional Requirements
- **Rich Rendering Support:**
- **Code:** Integration with `ImGuiColorTextEdit` for syntax highlighting (Python, PowerShell, JSON, TOML, etc.).
- **Markdown:** Integration with `imgui_markdown` for rendering formatted text and documents.
- **Fallback:** Plain text rendering for unknown or unspecified types.
- **Explicit Type Specification:**
- The component/function triggering the viewer (e.g., `_render_text_viewer`) must provide an explicit `text_type` parameter (e.g., "python", "markdown", "text").
- **Enhanced UI Features:**
- **Line Numbers:** Display line numbers in the gutter when viewing code.
- **Copy Button:** A dedicated button to copy the entire content to the clipboard.
- **Independent Word Wrap:** A toggle within the viewer window to enable/disable word wrapping specifically for that instance, overriding the global GUI setting if necessary.
- **Persistent Sizing:** The viewer should maintain its size/position via ImGui's standard `.ini` persistence.
## Technical Implementation
- Update `App` state in `src/gui_2.py` to store `text_viewer_type`.
- Modify `_render_text_viewer` signature to accept `text_type`.
- Update the rendering loop in `_gui_func` to switch between `MarkdownRenderer` logic and `TextEditor` logic based on `text_viewer_type`.
- Ensure proper caching of `TextEditor` instances to maintain scroll position and selection state while the viewer is open.
## Acceptance Criteria
- [ ] Clicking a preview button for a Python file opens the viewer with syntax highlighting and line numbers.
- [ ] Clicking a preview for a `.md` file renders it as formatted Markdown.
- [ ] The "Copy" button correctly copies text to the OS clipboard.
- [ ] The word wrap toggle works immediately without affecting other panels.
- [ ] Unsupported types gracefully fall back to standard plain text.
@@ -0,0 +1,5 @@
# Track thinking_trace_handling_20260313 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "thinking_trace_handling_20260313",
"type": "feature",
"status": "new",
"created_at": "2026-03-13T13:28:00Z",
"updated_at": "2026-03-13T13:28:00Z",
"description": "Properly section and handle 'agent thinking' responses from the ai. Right now we just have <thinking> indicators not sure if thats a bodge or if there is a richer way we could be handling this..."
}
@@ -0,0 +1,23 @@
# Implementation Plan: Rich Thinking Trace Handling
## Status: COMPLETE (2026-03-14)
## Summary
Implemented thinking trace parsing, model, persistence, and GUI rendering for AI responses containing `<thinking>`, `<thought>`, and `Thinking:` markers.
## 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
## 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
@@ -0,0 +1,31 @@
# Specification: Rich Thinking Trace Handling
## Overview
Implement a formal system for parsing, storing, and rendering "agent thinking" monologues (chains of thought) within the Manual Slop GUI. Currently, thinking traces are treated as raw text or simple markers. This track will introduce a structured UI pattern to separate internal monologue from direct user responses while preserving both for future context.
## Functional Requirements
- **Multi-Format Parsing:** Support extraction of thinking traces from `<thinking>...</thinking>`, `<thought>...</thought>`, and blocks prefixed with `Thinking:`.
- **Integrated UI Rendering:**
- In the **Comms History** and **Discussion Hub**, thinking traces must be rendered in a distinct, collapsible section.
- The section should be **Collapsed by Default** to minimize visual noise.
- Thinking traces must be visually separated from the "visible" response (e.g., using a tinted background, border, or specialized header).
- **Persistent State Management:**
- Both the thinking monologue and the final response must be saved to the permanent discussion history (`manual_slop_history.toml` or `project_history.toml`).
- History entries must be properly tagged/schematized to distinguish between thinking and output.
- **Context Recurrence:**
- Thinking traces must be included in subsequent AI turns (Full Recurrence) to maintain the model's internal state and logical progression.
## Non-Functional Requirements
- **Performance:** Parsing and rendering of thinking blocks must not introduce visible latency in the GUI thread.
- **Accessibility:** All thinking blocks must remain selectable and copyable via the standard high-fidelity selectable UI pattern.
## Acceptance Criteria
- [ ] AI responses containing `<thinking>` or similar tags are automatically parsed into separate segments.
- [ ] A "Thinking..." header appears in the Discussion Hub for messages with monologues.
- [ ] Clicking the header expands the full thinking trace.
- [ ] Saving/Loading a project preserves the distinction between thinking and response.
- [ ] Subsequent AI calls receive the thinking trace as part of the conversation history.
## Out of Scope
- Implementing "Hidden Thinking" (where the user cannot see it but the AI can).
- Real-time "Streaming" of thinking into the UI (unless already supported by the active provider).
+23 -19
View File
@@ -5,25 +5,20 @@ temperature = 0.0
top_p = 1.0
max_tokens = 32000
history_trunc_limit = 900000
active_preset = "Default"
system_prompt = ""
active_preset = ""
system_prompt = "Overridden Prompt"
[projects]
paths = [
"C:/projects/gencpp/gencpp_sloppy.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_livecontextsim.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_liveaisettingssim.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_livetoolssim.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_liveexecutionsim.toml",
"C:\\projects\\manual_slop\\tests\\artifacts\\temp_project.toml",
"C:/projects/gencpp/.ai/gencpp_sloppy.toml",
]
active = "C:/projects/gencpp/gencpp_sloppy.toml"
active = "C:/projects/gencpp/.ai/gencpp_sloppy.toml"
[gui]
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
@@ -31,14 +26,15 @@ separate_tier1 = false
separate_tier2 = false
separate_tier3 = false
separate_tier4 = false
separate_external_tools = false
[gui.show_windows]
"Context Hub" = true
"Project Settings" = true
"Files & Media" = true
"AI Settings" = true
"MMA Dashboard" = true
"Task DAG" = false
"Usage Analytics" = false
"MMA Dashboard" = false
"Task DAG" = true
"Usage Analytics" = true
"Tier 1" = false
"Tier 2" = false
"Tier 3" = false
@@ -51,15 +47,18 @@ separate_tier4 = false
"Operations Hub" = true
Message = false
Response = false
"Tool Calls" = true
Theme = true
"Log Management" = true
"Tool Calls" = false
Theme = false
"Log Management" = false
Diagnostics = false
"External Tools" = false
"Shader Editor" = false
"Session Hub" = false
[theme]
palette = "Nord Dark"
font_path = "C:/projects/manual_slop/assets/fonts/Inter-Regular.ttf"
font_size = 14.0
font_path = "fonts/Inter-Regular.ttf"
font_size = 16.0
scale = 1.0
transparency = 1.0
child_transparency = 1.0
@@ -69,3 +68,8 @@ max_workers = 4
[headless]
api_key = "test-secret-key"
[paths]
conductor_dir = "C:\\projects\\gencpp\\.ai\\conductor"
logs_dir = "C:\\projects\\manual_slop\\logs"
scripts_dir = "C:\\projects\\manual_slop\\scripts"
+33
View File
@@ -0,0 +1,33 @@
# Custom Shaders and Window Frame Architecture
## 1. Shader Injection Strategy
### Evaluation
* **Dear PyGui (Legacy):** Does not natively support raw GLSL/HLSL shader injection into the UI layer. It relies heavily on fixed-function vertex/fragment shaders compiled into the C++ core. Faux-shaders via DrawList are the only viable path without modifying the DPG source.
* **imgui-bundle (Current):** `imgui-bundle` utilizes `hello_imgui` as its application runner, which provides robust lifecycle callbacks (e.g., `callbacks.custom_background`, `callbacks.post_init`). Because `hello_imgui` exposes the underlying OpenGL context, we can use `PyOpenGL` alongside it to execute raw GLSL shaders.
### Chosen Approach: Hybrid Faux-Shader & PyOpenGL FBO
Given the Python environment, we will adopt a hybrid approach:
1. **Faux-Shaders (ImDrawList Batching):** Continue using `imgui.ImDrawList` primitives for simple effects like soft shadows, glows, and basic gradients (as seen in `src/shaders.py`). This is highly performant for UI elements and requires no external dependencies.
2. **True GPU Shaders (PyOpenGL + FBO):** For complex post-processing (CRT curvature, bloom, dynamic noise backgrounds), we will integrate `PyOpenGL`.
* We will compile GLSL shaders during `post_init`.
* We will render the effect into a Framebuffer Object (FBO).
* We will display the resulting texture ID using `imgui.image()` or inject it into the `custom_background` callback.
*Note: This approach introduces `PyOpenGL` as a dependency, which is standard for advanced Python graphics.*
## 2. Custom Window Frame Strategy
### Evaluation
* **Native DWM Overloading (PyWin32):** It is possible to use `pywin32` to subclass the application window, intercept `WM_NCHITTEST`, and return `HTCAPTION` for a custom ImGui-drawn title bar region. This preserves Windows snap layouts and native drop shadows. However, it is strictly Windows-only and can conflict with GLFW/SDL2 event loops used by `hello_imgui`.
* **Borderless Window Mode (ImGui/GLFW):** `hello_imgui` allows configuring the main window as borderless/undecorated (`runner_params.app_window_params.borderless = True`). We must then manually draw the title bar, minimize/maximize/close buttons, and handle window dragging by updating the OS window position based on ImGui mouse drag deltas.
### Chosen Approach: Pure ImGui Borderless Implementation
To ensure cross-platform compatibility and avoid brittle Win32 hook collisions with `hello_imgui`, we will use the **Borderless Window Mode** approach.
1. **Initialization:** Configure `hello_imgui.RunnerParams` to disable OS window decorations.
2. **Title Bar Rendering:** Dedicate the top ~30 pixels of the ImGui workspace to a custom title bar that matches the current theme (e.g., NERV or standard).
3. **Window Controls:** Implement custom ImGui buttons for `_`, `[]`, and `X`, which will call native window management functions exposed by `hello_imgui` or `glfw`.
4. **Drag Handling:** Detect `imgui.is_mouse_dragging()` on the title bar region and dynamically adjust the application window position.
## 3. Integration with Event Metrics
Both the shader uniforms (time, resolution) and window control events will be hooked into the existing `dag_engine` and `events` systems to ensure minimal performance overhead and centralized configuration via `config.toml`.
+22
View File
@@ -0,0 +1,22 @@
;;; !!! This configuration is handled by HelloImGui and stores several Ini Files, separated by markers like this:
;;;<<<INI_NAME>>>;;;
;;;<<<ImGui_655921752_Default>>>;;;
[Window][Debug##Default]
Pos=60,60
Size=400,400
Collapsed=0
[Docking][Data]
;;;<<<Layout_655921752_Default>>>;;;
;;;<<<HelloImGui_Misc>>>;;;
[Layout]
Name=Default
[StatusBar]
Show=false
ShowFps=true
[Theme]
Name=DarculaDarker
;;;<<<SplitIds>>>;;;
{"gImGuiSplitIDs":{}}
+22
View File
@@ -0,0 +1,22 @@
;;; !!! This configuration is handled by HelloImGui and stores several Ini Files, separated by markers like this:
;;;<<<INI_NAME>>>;;;
;;;<<<ImGui_655921752_Default>>>;;;
[Window][Debug##Default]
Pos=60,60
Size=400,400
Collapsed=0
[Docking][Data]
;;;<<<Layout_655921752_Default>>>;;;
;;;<<<HelloImGui_Misc>>>;;;
[Layout]
Name=Default
[StatusBar]
Show=false
ShowFps=true
[Theme]
Name=DarculaDarker
;;;<<<SplitIds>>>;;;
{"gImGuiSplitIDs":{}}
+149 -97
View File
@@ -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 +41,23 @@ ViewportId=0x78C57832
Pos=0,651
Size=897,468
Collapsed=0
DockId=0x00000001,0
DockId=0x00000005,0
[Window][Message]
Pos=642,1879
Size=1002,242
Pos=711,694
Size=716,455
Collapsed=0
[Window][Response]
Pos=1700,1898
Size=1111,224
Pos=245,1014
Size=1492,948
Collapsed=0
[Window][Tool Calls]
Pos=790,1483
Size=876,654
Pos=1028,1668
Size=1397,340
Collapsed=0
DockId=0x00000006,0
DockId=0x0000000E,0
[Window][Comms History]
ViewportPos=43,95
@@ -74,10 +74,10 @@ Collapsed=0
DockId=0xAFC85805,2
[Window][Theme]
Pos=0,1786
Size=676,351
Pos=0,975
Size=1010,730
Collapsed=0
DockId=0x00000002,2
DockId=0x00000007,0
[Window][Text Viewer - Entry #7]
Pos=379,324
@@ -85,16 +85,15 @@ Size=900,700
Collapsed=0
[Window][Diagnostics]
Pos=2641,34
Size=1199,2103
Pos=1945,734
Size=1211,713
Collapsed=0
DockId=0x00000010,2
[Window][Context Hub]
Pos=0,1786
Size=676,351
Pos=0,975
Size=1010,730
Collapsed=0
DockId=0x00000002,1
DockId=0x00000007,0
[Window][AI Settings Hub]
Pos=406,17
@@ -103,28 +102,28 @@ Collapsed=0
DockId=0x0000000D,0
[Window][Discussion Hub]
Pos=1668,22
Size=915,2115
Pos=1126,24
Size=1638,1608
Collapsed=0
DockId=0x00000013,0
DockId=0x00000006,0
[Window][Operations Hub]
Pos=678,22
Size=988,2115
Pos=0,24
Size=1124,1608
Collapsed=0
DockId=0x00000005,0
DockId=0x00000005,2
[Window][Files & Media]
Pos=0,1786
Size=676,351
Pos=1126,24
Size=1638,1608
Collapsed=0
DockId=0x00000002,0
DockId=0x00000006,1
[Window][AI Settings]
Pos=0,22
Size=676,1762
Pos=0,24
Size=1124,1608
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=2585,22
Size=1255,2115
Pos=3360,26
Size=480,2134
Collapsed=0
DockId=0x00000010,0
DockId=0x00000004,0
[Window][Log Management]
Pos=2585,22
Size=1255,2115
Pos=3360,26
Size=480,2134
Collapsed=0
DockId=0x00000010,1
DockId=0x00000004,0
[Window][Track Proposal]
Pos=709,326
@@ -152,23 +151,20 @@ Collapsed=0
Pos=2905,1238
Size=935,899
Collapsed=0
DockId=0x00000004,0
[Window][Tier 2: Tech Lead]
Pos=2905,1238
Size=935,899
Collapsed=0
DockId=0x00000004,0
[Window][Tier 4: QA]
Pos=2905,1238
Size=935,899
Collapsed=0
DockId=0x00000004,0
[Window][Tier 3: Workers]
Pos=2641,1719
Size=916,418
Pos=2822,1717
Size=1018,420
Collapsed=0
DockId=0x0000000C,0
@@ -178,8 +174,8 @@ Size=381,329
Collapsed=0
[Window][Last Script Output]
Pos=1005,343
Size=800,562
Pos=1076,794
Size=1085,1154
Collapsed=0
[Window][Text Viewer - Log Entry #1 (request)]
@@ -193,7 +189,7 @@ Size=1005,366
Collapsed=0
[Window][Text Viewer - Entry #11]
Pos=60,60
Pos=1010,564
Size=1529,925
Collapsed=0
@@ -223,13 +219,13 @@ Size=900,700
Collapsed=0
[Window][Text Viewer - text]
Pos=60,60
Pos=1297,550
Size=900,700
Collapsed=0
[Window][Text Viewer - system]
Pos=377,705
Size=900,340
Pos=901,1502
Size=876,536
Collapsed=0
[Window][Text Viewer - Entry #15]
@@ -243,8 +239,8 @@ Size=900,700
Collapsed=0
[Window][Text Viewer - tool_calls]
Pos=60,60
Size=900,700
Pos=1106,942
Size=831,482
Collapsed=0
[Window][Text Viewer - Tool Script #1]
@@ -288,8 +284,8 @@ Size=900,700
Collapsed=0
[Window][Text Viewer - Tool Call #1 Details]
Pos=2318,1220
Size=900,700
Pos=963,716
Size=727,725
Collapsed=0
[Window][Text Viewer - Tool Call #10 Details]
@@ -333,8 +329,8 @@ Size=967,499
Collapsed=0
[Window][Usage Analytics]
Pos=2641,1719
Size=1199,418
Pos=2678,26
Size=1162,2134
Collapsed=0
DockId=0x0000000F,0
@@ -353,6 +349,68 @@ Pos=856,546
Size=1000,800
Collapsed=0
[Window][External Tools]
Pos=531,376
Size=616,409
Collapsed=0
[Window][Text Viewer - Tool Call #2 Details]
Pos=60,60
Size=900,700
Collapsed=0
[Window][Text Viewer - Tool Call #3 Details]
Pos=60,60
Size=900,700
Collapsed=0
[Window][Text Viewer - Entry #4]
Pos=1165,782
Size=900,700
Collapsed=0
[Window][Text Viewer - Entry #10]
Pos=755,715
Size=1593,1240
Collapsed=0
[Window][Text Viewer - Entry #5]
Pos=989,778
Size=1366,1032
Collapsed=0
[Window][Shader Editor]
Pos=457,710
Size=573,280
Collapsed=0
[Window][Text Viewer - list_directory]
Pos=1376,796
Size=882,656
Collapsed=0
[Window][Text Viewer - Last Output]
Pos=60,60
Size=900,700
Collapsed=0
[Window][Text Viewer - Entry #2]
Pos=1518,488
Size=900,700
Collapsed=0
[Window][Session Hub]
Pos=1163,24
Size=1234,1542
Collapsed=0
DockId=0x00000006,1
[Window][Project Settings]
Pos=0,24
Size=1124,1608
Collapsed=0
DockId=0x00000005,1
[Table][0xFB6E3870,4]
RefScale=13
Column 0 Width=80
@@ -384,11 +442,11 @@ Column 3 Width=20
Column 4 Weight=1.0000
[Table][0x2A6000B6,4]
RefScale=24
Column 0 Width=72
Column 1 Width=106
RefScale=16
Column 0 Width=48
Column 1 Width=67
Column 2 Weight=1.0000
Column 3 Width=180
Column 3 Width=243
[Table][0x8BCC69C7,6]
RefScale=13
@@ -400,18 +458,18 @@ Column 4 Weight=1.0000
Column 5 Width=50
[Table][0x3751446B,4]
RefScale=14
Column 0 Width=42
Column 1 Width=63
RefScale=18
Column 0 Width=54
Column 1 Width=81
Column 2 Weight=1.0000
Column 3 Width=105
Column 3 Width=135
[Table][0x2C515046,4]
RefScale=24
Column 0 Width=73
RefScale=16
Column 0 Width=48
Column 1 Weight=1.0000
Column 2 Width=181
Column 3 Width=72
Column 2 Width=166
Column 3 Width=48
[Table][0xD99F45C5,4]
Column 0 Sort=0v
@@ -432,14 +490,14 @@ Column 1 Width=100
Column 2 Weight=1.0000
[Table][0xA02D8C87,3]
RefScale=24
Column 0 Width=270
Column 1 Width=180
RefScale=16
Column 0 Width=179
Column 1 Width=120
Column 2 Weight=1.0000
[Table][0xD0277E63,2]
RefScale=14
Column 0 Width=116
RefScale=16
Column 0 Width=132
Column 1 Weight=1.0000
[Table][0x3AAF84D5,2]
@@ -448,41 +506,35 @@ Column 0 Width=150
Column 1 Weight=1.0000
[Table][0x8D8494AB,2]
RefScale=14
Column 0 Width=116
RefScale=18
Column 0 Width=148
Column 1 Weight=1.0000
[Table][0x2C261E6E,2]
RefScale=14
Column 0 Width=87
RefScale=18
Column 0 Width=111
Column 1 Weight=1.0000
[Table][0x9CB1E6FD,2]
RefScale=14
Column 0 Width=164
RefScale=16
Column 0 Width=187
Column 1 Weight=1.0000
[Docking][Data]
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=0,22 Size=3840,2115 Split=X
DockNode ID=0x00000003 Parent=0xAFC85805 SizeRef=2583,1183 Split=X
DockNode ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=X Selected=0xF4139CA2
DockNode ID=0x00000007 Parent=0x0000000B SizeRef=676,858 Split=Y Selected=0x8CA2375C
DockNode ID=0x00000001 Parent=0x00000007 SizeRef=824,1759 CentralNode=1 Selected=0x7BD57D6A
DockNode ID=0x00000002 Parent=0x00000007 SizeRef=824,351 Selected=0x1DCB2623
DockNode ID=0x0000000E Parent=0x0000000B SizeRef=1905,858 Split=X Selected=0x418C7449
DockNode ID=0x00000012 Parent=0x0000000E SizeRef=988,402 Split=Y Selected=0x418C7449
DockNode ID=0x00000005 Parent=0x00000012 SizeRef=876,1455 Selected=0x418C7449
DockNode ID=0x00000006 Parent=0x00000012 SizeRef=876,654 Selected=0x1D56B311
DockNode ID=0x00000013 Parent=0x0000000E SizeRef=915,402 Selected=0x6F2B5B04
DockNode ID=0x0000000D Parent=0x00000003 SizeRef=435,1186 Selected=0x363E93D6
DockNode ID=0x00000004 Parent=0xAFC85805 SizeRef=1255,1183 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=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=0,24 Size=2764,1608 Split=X
DockNode ID=0x00000003 Parent=0xAFC85805 SizeRef=2175,1183 Split=X
DockNode ID=0x0000000B Parent=0x00000003 SizeRef=404,1186 Split=X Selected=0xF4139CA2
DockNode ID=0x00000007 Parent=0x0000000B SizeRef=1512,858 Split=X Selected=0x8CA2375C
DockNode ID=0x00000005 Parent=0x00000007 SizeRef=1226,1681 CentralNode=1 Selected=0x7BD57D6A
DockNode ID=0x00000006 Parent=0x00000007 SizeRef=1638,1681 Selected=0x6F2B5B04
DockNode ID=0x0000000E Parent=0x0000000B SizeRef=1777,858 Selected=0x418C7449
DockNode ID=0x0000000D Parent=0x00000003 SizeRef=435,1186 Selected=0x363E93D6
DockNode ID=0x00000004 Parent=0xAFC85805 SizeRef=1162,1183 Split=X Selected=0x3AEC3498
DockNode ID=0x0000000C Parent=0x00000004 SizeRef=916,380 Selected=0x655BC6E9
DockNode ID=0x0000000F Parent=0x00000004 SizeRef=281,380 Selected=0xDEB547B6
;;;<<<Layout_655921752_Default>>>;;;
;;;<<<HelloImGui_Misc>>>;;;
File diff suppressed because it is too large Load Diff
+2 -1
View File
@@ -71,5 +71,6 @@
"logs/**",
"*.log"
]
}
},
"plugin": ["superpowers@git+https://github.com/obra/superpowers.git"]
}
+3
View File
@@ -1,2 +1,5 @@
[presets.Default]
system_prompt = ""
[presets.ModalPreset]
system_prompt = "Modal Content"
+2
View File
@@ -17,6 +17,8 @@ paths = []
base_dir = "."
paths = []
[context_presets]
[gemini_cli]
binary_path = "gemini"
+1 -1
View File
@@ -9,5 +9,5 @@ active = "main"
[discussions.main]
git_commit = ""
last_updated = "2026-03-10T21:01:58"
last_updated = "2026-03-22T12:59:02"
history = []
+1
View File
@@ -17,6 +17,7 @@ dependencies = [
"tree-sitter-python>=0.25.0",
"mcp>=1.0.0",
"pytest-timeout>=2.4.0",
"pyopengl>=3.1.10",
]
[dependency-groups]
+47
View File
@@ -0,0 +1,47 @@
import sys
import json
def main():
while True:
line = sys.stdin.readline()
if not line:
break
try:
req = json.loads(line)
method = req.get("method")
req_id = req.get("id")
if method == "tools/list":
resp = {
"jsonrpc": "2.0",
"id": req_id,
"result": {
"tools": [
{"name": "echo", "description": "Echo input", "inputSchema": {"type": "object"}}
]
}
}
elif method == "tools/call":
name = req["params"].get("name")
args = req["params"].get("arguments", {})
if name == "echo":
resp = {
"jsonrpc": "2.0",
"id": req_id,
"result": {
"content": [{"type": "text", "text": f"ECHO: {args}"}]
}
}
else:
resp = {"jsonrpc": "2.0", "id": req_id, "error": {"message": "Unknown tool"}}
else:
resp = {"jsonrpc": "2.0", "id": req_id, "error": {"message": "Unknown method"}}
sys.stdout.write(json.dumps(resp) + "\n")
sys.stdout.flush()
except Exception as e:
sys.stderr.write(f"Error: {e}\n")
sys.stderr.flush()
if __name__ == "__main__":
main()
+12
View File
@@ -0,0 +1,12 @@
from imgui_bundle import hello_imgui, imgui
def on_gui():
imgui.text("Hello world")
params = hello_imgui.RunnerParams()
params.app_window_params.borderless = True
params.app_window_params.borderless_movable = True
params.app_window_params.borderless_resizable = True
params.app_window_params.borderless_closable = True
hello_imgui.run(params)
+11 -6
View File
@@ -535,7 +535,7 @@ def get_bias_profile() -> Optional[str]:
def _build_anthropic_tools() -> list[dict[str, Any]]:
raw_tools: list[dict[str, Any]] = []
for spec in mcp_client.MCP_TOOL_SPECS:
for spec in mcp_client.get_tool_schemas():
if _agent_tools.get(spec["name"], True):
raw_tools.append({
"name": spec["name"],
@@ -579,7 +579,7 @@ def _get_anthropic_tools() -> list[dict[str, Any]]:
def _gemini_tool_declaration() -> Optional[types.Tool]:
raw_tools: list[dict[str, Any]] = []
for spec in mcp_client.MCP_TOOL_SPECS:
for spec in mcp_client.get_tool_schemas():
if _agent_tools.get(spec["name"], True):
raw_tools.append({
"name": spec["name"],
@@ -715,10 +715,15 @@ async def _execute_single_tool_call_async(
tool_executed = True
if not tool_executed:
if name and name in mcp_client.TOOL_NAMES:
is_native = name in mcp_client.TOOL_NAMES
ext_tools = mcp_client.get_external_mcp_manager().get_all_tools()
is_external = name in ext_tools
if name and (is_native or is_external):
_append_comms("OUT", "tool_call", {"name": name, "id": call_id, "args": args})
if name in mcp_client.MUTATING_TOOLS and approval_mode != "auto" and pre_tool_callback:
desc = f"# MCP MUTATING TOOL: {name}\n" + "\n".join(f"# {k}: {repr(v)}" for k, v in args.items())
should_approve = (name in mcp_client.MUTATING_TOOLS or is_external) and approval_mode != "auto" and pre_tool_callback
if should_approve:
label = "MCP MUTATING" if is_native else "EXTERNAL MCP"
desc = f"# {label} TOOL: {name}\n" + "\n".join(f"# {k}: {repr(v)}" for k, v in args.items())
_res = await asyncio.to_thread(pre_tool_callback, desc, base_dir, qa_callback)
out = "USER REJECTED: tool execution cancelled" if _res is None else await mcp_client.async_dispatch(name, args)
else:
@@ -816,7 +821,7 @@ def _build_file_diff_text(changed_items: list[dict[str, Any]]) -> str:
def _build_deepseek_tools() -> list[dict[str, Any]]:
raw_tools: list[dict[str, Any]] = []
for spec in mcp_client.MCP_TOOL_SPECS:
for spec in mcp_client.get_tool_schemas():
if _agent_tools.get(spec["name"], True):
raw_tools.append({
"name": spec["name"],
+5 -2
View File
@@ -225,6 +225,9 @@ 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")
@@ -250,7 +253,7 @@ class HookHandler(BaseHTTPRequestHandler):
self.end_headers()
files = _get_app_attr(app, "files", [])
screenshots = _get_app_attr(app, "screenshots", [])
self.wfile.write(json.dumps({"files": files, "screenshots": screenshots}).encode("utf-8"))
self.wfile.write(json.dumps({"files": _serialize_for_api(files), "screenshots": _serialize_for_api(screenshots)}).encode("utf-8"))
elif self.path == "/api/metrics/financial":
self.send_response(200)
self.send_header("Content-Type", "application/json")
@@ -643,7 +646,7 @@ class HookServer:
if not _has_app_attr(self.app, '_api_event_queue'): _set_app_attr(self.app, '_api_event_queue', [])
if not _has_app_attr(self.app, '_api_event_queue_lock'): _set_app_attr(self.app, '_api_event_queue_lock', threading.Lock())
self.websocket_server = WebSocketServer(self.app)
self.websocket_server = WebSocketServer(self.app, port=self.port + 1)
self.websocket_server.start()
eq = _get_app_attr(self.app, 'event_queue')
+331 -61
View File
@@ -25,6 +25,7 @@ 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
@@ -154,6 +155,7 @@ class AppController:
self._loop_thread: Optional[threading.Thread] = None
self.tracks: List[Dict[str, Any]] = []
self.active_track: Optional[models.Track] = None
self.engine: Optional[multi_agent_conductor.ConductorEngine] = None
self.active_tickets: List[Dict[str, Any]] = []
self.mma_streams: Dict[str, str] = {}
self._worker_status: Dict[str, str] = {} # stream_id -> "running" | "completed" | "failed" | "killed"
@@ -179,7 +181,8 @@ class AppController:
"cache_read_input_tokens": 0,
"cache_creation_input_tokens": 0,
"total_tokens": 0,
"last_latency": 0.0
"last_latency": 0.0,
"percentage": 0.0
}
self.mma_tier_usage: Dict[str, Dict[str, Any]] = {
"Tier 1": {"input": 0, "output": 0, "provider": "gemini", "model": "gemini-3.1-pro-preview", "tool_preset": None},
@@ -196,6 +199,7 @@ class AppController:
self._pending_dialog_open: bool = False
self._pending_actions: Dict[str, ConfirmDialog] = {}
self._pending_ask_dialog: bool = False
self.mcp_config: models.MCPConfiguration = models.MCPConfiguration()
# AI settings state
self._current_provider: str = "gemini"
self._current_model: str = "gemini-2.5-flash-lite"
@@ -226,7 +230,6 @@ class AppController:
self.ui_project_system_prompt: str = ""
self.ui_gemini_cli_path: str = "gemini"
self.ui_word_wrap: bool = True
self.ui_summary_only: bool = False
self.ui_auto_add_history: bool = False
self.ui_active_tool_preset: str | None = None
self.ui_global_system_prompt: str = ""
@@ -239,6 +242,8 @@ 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
@@ -248,6 +253,7 @@ 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]] = []
@@ -283,7 +289,9 @@ class AppController:
self._gemini_cache_text: str = ""
self._last_stable_md: str = ''
self._token_stats: Dict[str, Any] = {}
self._token_stats_dirty: bool = False
self._comms_log_dirty: bool = True
self._tool_log_dirty: bool = True
self._token_stats_dirty: bool = True
self.ui_disc_truncate_pairs: int = 2
self.ui_auto_scroll_comms: bool = True
self.ui_auto_scroll_tool_calls: bool = True
@@ -291,10 +299,14 @@ class AppController:
self._track_discussion_active: bool = False
self._tier_stream_last_len: Dict[str, int] = {}
self.is_viewing_prior_session: bool = False
self._current_session_usage = None
self._current_mma_tier_usage = None
self.prior_session_entries: List[Dict[str, Any]] = []
self.prior_tool_calls: List[Dict[str, Any]] = []
self.prior_disc_entries: List[Dict[str, Any]] = []
self.prior_mma_dashboard_state: Dict[str, Any] = {}
self.prior_mma_dashboard_state = {}
self._current_token_history = None
self._current_session_start_time = None
self.test_hooks_enabled: bool = ("--enable-test-hooks" in sys.argv) or (os.environ.get("SLOP_TEST_HOOKS") == "1")
self.ui_manual_approve: bool = False
# Injection state
@@ -365,7 +377,10 @@ 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'
'ui_separate_tier4': 'ui_separate_tier4',
'show_text_viewer': 'show_text_viewer',
'text_viewer_title': 'text_viewer_title',
'text_viewer_type': 'text_viewer_type'
}
self._gettable_fields = dict(self._settable_fields)
self._gettable_fields.update({
@@ -412,7 +427,10 @@ 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'
'ui_separate_tier4': 'ui_separate_tier4',
'show_text_viewer': 'show_text_viewer',
'text_viewer_title': 'text_viewer_title',
'text_viewer_type': 'text_viewer_type'
})
self.perf_monitor = performance_monitor.get_monitor()
self._perf_profiling_enabled = False
@@ -428,6 +446,12 @@ class AppController:
if hasattr(self, 'perf_monitor'):
self.perf_monitor.enabled = value
@property
def active_project_root(self) -> str:
if self.active_project_path:
return str(Path(self.active_project_path).parent)
return self.ui_files_base_dir
def _update_inject_preview(self) -> None:
"""Updates the preview content based on the selected file and injection mode."""
if not self._inject_file_path:
@@ -435,7 +459,7 @@ class AppController:
return
target_path = self._inject_file_path
if not os.path.isabs(target_path):
target_path = os.path.join(self.ui_files_base_dir, target_path)
target_path = os.path.join(self.active_project_root, target_path)
if not os.path.exists(target_path):
self._inject_preview = ""
return
@@ -522,6 +546,11 @@ class AppController:
"payload": status
})
def _trigger_gui_refresh(self):
with self._pending_gui_tasks_lock:
self._pending_gui_tasks.append({'action': 'set_comms_dirty'})
self._pending_gui_tasks.append({'action': 'set_tool_log_dirty'})
def _process_pending_gui_tasks(self) -> None:
# Periodic telemetry broadcast
now = time.time()
@@ -548,6 +577,10 @@ class AppController:
# ...
if action == "refresh_api_metrics":
self._refresh_api_metrics(task.get("payload", {}), md_content=self.last_md or None)
elif action == 'set_comms_dirty':
self._comms_log_dirty = True
elif action == 'set_tool_log_dirty':
self._tool_log_dirty = True
elif action == "set_ai_status":
self.ai_status = task.get("payload", "")
sys.stderr.write(f"[DEBUG] Updated ai_status via task to: {self.ai_status}\n")
@@ -586,16 +619,6 @@ 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")
@@ -842,7 +865,11 @@ class AppController:
self.ui_separate_tier2 = False
self.ui_separate_tier3 = False
self.ui_separate_tier4 = False
self.ui_separate_external_tools = False
self.config = models.load_config()
path_info = paths.get_full_path_info()
self.ui_logs_dir = str(path_info['logs_dir']['path'])
self.ui_scripts_dir = str(path_info['scripts_dir']['path'])
theme.load_from_config(self.config)
ai_cfg = self.config.get("ai", {})
self._current_provider = ai_cfg.get("provider", "gemini")
@@ -878,12 +905,12 @@ class AppController:
self.ui_shots_base_dir = self.project.get("screenshots", {}).get("base_dir", ".")
proj_meta = self.project.get("project", {})
self.ui_project_git_dir = proj_meta.get("git_dir", "")
self.ui_project_conductor_dir = self.project.get('conductor', {}).get('dir', 'conductor')
self.ui_project_main_context = proj_meta.get("main_context", "")
self.ui_project_system_prompt = proj_meta.get("system_prompt", "")
self.ui_gemini_cli_path = self.project.get("gemini_cli", {}).get("binary_path", "gemini")
self._update_gcli_adapter(self.ui_gemini_cli_path)
self.ui_word_wrap = proj_meta.get("word_wrap", True)
self.ui_summary_only = proj_meta.get("summary_only", False)
self.ui_auto_add_history = disc_sec.get("auto_add", False)
self.ui_global_system_prompt = self.config.get("ai", {}).get("system_prompt", "")
@@ -893,6 +920,18 @@ class AppController:
self.tool_presets = self.tool_preset_manager.load_all_presets()
self.bias_profiles = self.tool_preset_manager.load_all_bias_profiles()
mcp_path = self.project.get('project', {}).get('mcp_config_path') or self.config.get('ai', {}).get('mcp_config_path')
if mcp_path:
mcp_p = Path(mcp_path)
if not mcp_p.is_absolute() and self.active_project_path:
mcp_p = Path(self.active_project_path).parent / mcp_path
if mcp_p.exists():
self.mcp_config = models.load_mcp_config(str(mcp_p))
else:
self.mcp_config = models.MCPConfiguration()
else:
self.mcp_config = models.MCPConfiguration()
from src.personas import PersonaManager
self.persona_manager = PersonaManager(Path(self.active_project_path).parent if self.active_project_path else None)
self.personas = self.persona_manager.load_all()
@@ -911,7 +950,7 @@ class AppController:
bg_shader.get_bg().enabled = gui_cfg.get("bg_shader_enabled", False)
_default_windows = {
"Context Hub": True,
"Project Settings": True,
"Files & Media": True,
"AI Settings": True,
"MMA Dashboard": True,
@@ -938,7 +977,16 @@ class AppController:
agent_tools_cfg = self.project.get("agent", {}).get("tools", {})
self.ui_agent_tools = {t: agent_tools_cfg.get(t, True) for t in models.AGENT_TOOL_NAMES}
label = self.project.get("project", {}).get("name", "")
session_logger.open_session(label=label)
session_logger.reset_session(label=label)
# Trigger auto-start of MCP servers
self.event_queue.put('refresh_external_mcps', None)
async def refresh_external_mcps(self):
await mcp_client.get_external_mcp_manager().stop_all()
# Start servers with auto_start=True
for name, cfg in self.mcp_config.mcpServers.items():
if cfg.auto_start:
await mcp_client.get_external_mcp_manager().add_server(cfg)
def cb_load_prior_log(self, path: Optional[str] = None) -> None:
root = hide_tk_root()
@@ -951,6 +999,12 @@ class AppController:
if not path:
return
if not self.is_viewing_prior_session:
self._current_session_usage = copy.deepcopy(self.session_usage)
self._current_mma_tier_usage = copy.deepcopy(self.mma_tier_usage)
self._current_token_history = copy.deepcopy(self._token_history)
self._current_session_start_time = self._session_start_time
log_path = Path(path)
if log_path.is_dir():
log_file = log_path / "comms.log"
@@ -985,6 +1039,15 @@ class AppController:
entries = []
disc_entries = []
paired_tools = {}
final_tool_calls = []
new_token_history = []
new_usage = {'input_tokens': 0, 'output_tokens': 0, 'cache_read_input_tokens': 0, 'cache_creation_input_tokens': 0, 'total_tokens': 0, 'last_latency': 0.0, 'percentage': 0.0}
new_mma_usage = copy.deepcopy(self.mma_tier_usage)
for t in new_mma_usage:
new_mma_usage[t]['input'] = 0
new_mma_usage[t]['output'] = 0
try:
with open(log_file, "r", encoding="utf-8") as f:
for line in f:
@@ -996,6 +1059,47 @@ class AppController:
kind = entry.get("kind", entry.get("type", ""))
payload = entry.get("payload", {})
ts = entry.get("ts", "")
if kind == 'tool_call':
tid = payload.get('id') or payload.get('call_id')
script = payload.get('script') or json.dumps(payload.get('args', {}), indent=1)
script = _resolve_log_ref(script, session_dir)
entry_obj = {
'source_tier': entry.get('source_tier', 'main'),
'script': script,
'result': '', # Waiting for result
'ts': ts
}
if tid:
paired_tools[tid] = entry_obj
final_tool_calls.append(entry_obj)
elif kind == 'tool_result':
tid = payload.get('id') or payload.get('call_id')
output = payload.get('output', payload.get('content', ''))
output = _resolve_log_ref(output, session_dir)
if tid and tid in paired_tools:
paired_tools[tid]['result'] = output
else:
# Fallback: if no ID, try matching last entry in final_tool_calls that has no result
for old_call in reversed(final_tool_calls):
if not old_call['result']:
old_call['result'] = output
break
if kind == 'response' and 'usage' in payload:
u = payload['usage']
for k in ['input_tokens', 'output_tokens', 'cache_read_input_tokens', 'cache_creation_input_tokens', 'total_tokens']:
if k in new_usage: new_usage[k] += u.get(k, 0) or 0
tier = entry.get('source_tier', 'main')
if tier in new_mma_usage:
new_mma_usage[tier]['input'] += u.get('input_tokens', 0) or 0
new_mma_usage[tier]['output'] += u.get('output_tokens', 0) or 0
new_token_history.append({
'time': ts,
'input': u.get('input_tokens', 0) or 0,
'output': u.get('output_tokens', 0) or 0,
'model': entry.get('model', 'unknown')
})
if kind == "history_add":
content = payload.get("content", payload.get("text", payload.get("message", "")))
@@ -1053,11 +1157,47 @@ class AppController:
self._set_status(f"log load error: {e}")
return
self.session_usage = new_usage
self.mma_tier_usage = new_mma_usage
self._token_history = new_token_history
if new_token_history:
try:
import datetime
first_ts = new_token_history[0]['time']
dt = datetime.datetime.strptime(first_ts, '%Y-%m-%dT%H:%M:%S')
self._session_start_time = dt.timestamp()
except:
self._session_start_time = time.time()
self.prior_session_entries = entries
self.prior_disc_entries = disc_entries
self.prior_tool_calls = final_tool_calls
self.is_viewing_prior_session = True
self._trigger_gui_refresh()
self._set_status(f"viewing prior session: {session_dir.name} ({len(entries)} entries)")
def cb_exit_prior_session(self):
self.is_viewing_prior_session = False
if self._current_session_usage:
self.session_usage = self._current_session_usage
self._current_session_usage = None
if self._current_mma_tier_usage:
self.mma_tier_usage = self._current_mma_tier_usage
self._current_mma_tier_usage = None
if self._current_token_history is not None:
self._token_history = self._current_token_history
self._current_token_history = None
if self._current_session_start_time is not None:
self._session_start_time = self._current_session_start_time
self._current_session_start_time = None
self.prior_session_entries.clear()
self.prior_disc_entries.clear()
self.prior_tool_calls.clear()
self._trigger_gui_refresh()
self._set_status('idle')
def cb_prune_logs(self) -> None:
"""Manually triggers the log pruning process with aggressive thresholds."""
self._set_status("Manual prune started (Age > 0d, Size < 100KB)...")
@@ -1252,9 +1392,13 @@ class AppController:
"action": "ticket_completed",
"payload": payload
})
elif event_name == "refresh_external_mcps":
import asyncio
asyncio.run(self.refresh_external_mcps())
def _handle_request_event(self, event: events.UserRequestEvent) -> None:
"""Processes a UserRequestEvent by calling the AI client."""
self._set_status('sending...')
ai_client.set_current_tier(None) # Ensure main discussion is untagged
# Clear response area for new turn
self.ai_response = ""
@@ -1321,9 +1465,22 @@ class AppController:
if kind == "response" and "usage" in payload:
u = payload["usage"]
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
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
input_t = u.get("input_tokens", 0)
output_t = u.get("output_tokens", 0)
model = payload.get("model", "unknown")
@@ -1344,22 +1501,42 @@ class AppController:
"ts": entry.get("ts", project_manager.now_ts())
})
if kind in ("tool_result", "tool_call"):
role = "Tool" if kind == "tool_result" else "Vendor API"
content = ""
if kind == "tool_result":
content = payload.get("output", "")
else:
content = payload.get("script") or payload.get("args") or payload.get("message", "")
if isinstance(content, dict):
content = json.dumps(content, indent=1)
with self._pending_history_adds_lock:
self._pending_history_adds.append({
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": f"[{kind.upper().replace('_', ' ')}]\n{content}",
"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":
content = payload.get("output", "")
else:
content = payload.get("script") or payload.get("args") or payload.get("message", "")
if isinstance(content, dict):
content = json.dumps(content, indent=1)
with self._pending_history_adds_lock:
self._pending_history_adds.append({
"role": role,
"content": f"[{kind.upper().replace('_', ' ')}]\n{content}",
"collapsed": True,
"ts": entry.get("ts", project_manager.now_ts())
})
if kind == "history_add":
payload = entry.get("payload", {})
with self._pending_history_adds_lock:
@@ -1643,7 +1820,7 @@ class AppController:
except Exception as e:
raise HTTPException(status_code=500, detail=f"Context aggregation failure: {e}")
user_msg = req.prompt
base_dir = self.ui_files_base_dir
base_dir = self.active_project_root
csp = filter(bool, [self.ui_global_system_prompt.strip(), self.ui_project_system_prompt.strip()])
ai_client.set_custom_system_prompt("\n\n".join(csp))
temp = req.temperature if req.temperature is not None else self.temperature
@@ -1751,7 +1928,7 @@ class AppController:
return {
"files": [f.get("path") if isinstance(f, dict) else str(f) for f in file_items],
"screenshots": screenshots,
"files_base_dir": self.ui_files_base_dir,
"files_base_dir": self.active_project_root,
"markdown": md,
"discussion": disc_text
}
@@ -1775,7 +1952,6 @@ class AppController:
def _cb_project_save(self) -> None:
self._flush_to_project()
self._save_active_project()
self._flush_to_config()
models.save_config(self.config)
self._set_status("config saved")
@@ -1791,10 +1967,14 @@ class AppController:
self._set_status(f"project file not found: {path}")
return
self._flush_to_project()
self._save_active_project()
try:
self.project = project_manager.load_project(path)
self.active_project_path = path
new_root = Path(path).parent
self.preset_manager = presets.PresetManager(new_root)
self.tool_preset_manager = tool_presets.ToolPresetManager(new_root)
from src.personas import PersonaManager
self.persona_manager = PersonaManager(new_root)
except Exception as e:
self._set_status(f"failed to load project: {e}")
return
@@ -1824,11 +2004,10 @@ class AppController:
self.ui_auto_scroll_comms = proj.get("project", {}).get("auto_scroll_comms", True)
self.ui_auto_scroll_tool_calls = proj.get("project", {}).get("auto_scroll_tool_calls", True)
self.ui_word_wrap = proj.get("project", {}).get("word_wrap", True)
self.ui_summary_only = proj.get("project", {}).get("summary_only", False)
agent_tools_cfg = proj.get("agent", {}).get("tools", {})
self.ui_agent_tools = {t: agent_tools_cfg.get(t, True) for t in models.AGENT_TOOL_NAMES}
# MMA Tracks
self.tracks = project_manager.get_all_tracks(self.ui_files_base_dir)
self.tracks = project_manager.get_all_tracks(self.active_project_root)
# Restore MMA state
mma_sec = proj.get("mma", {})
self.ui_epic_input = mma_sec.get("epic", "")
@@ -1858,18 +2037,19 @@ class AppController:
self.active_tickets = []
# Load track-scoped history if track is active
if self.active_track:
track_history = project_manager.load_track_history(self.active_track.id, self.ui_files_base_dir)
track_history = project_manager.load_track_history(self.active_track.id, self.active_project_root)
if track_history:
with self._disc_entries_lock:
self.disc_entries = models.parse_history_entries(track_history, self.disc_roles)
self.preset_manager.project_root = Path(self.ui_files_base_dir)
self.preset_manager.project_root = Path(self.active_project_root)
self.presets = self.preset_manager.load_all()
self.tool_preset_manager.project_root = Path(self.ui_files_base_dir)
self.tool_preset_manager.project_root = Path(self.active_project_root)
self.tool_presets = self.tool_preset_manager.load_all_presets()
self.bias_profiles = self.tool_preset_manager.load_all_bias_profiles()
def _apply_preset(self, name: str, scope: str) -> None:
print(f"[DEBUG] _apply_preset: name={name}, scope={scope}")
if name == "None":
if scope == "global":
self.ui_global_preset_name = ""
@@ -1878,6 +2058,7 @@ class AppController:
return
preset = self.presets.get(name)
if not preset:
print(f"[DEBUG] _apply_preset: preset {name} not found in {list(self.presets.keys())}")
return
if scope == "global":
self.ui_global_system_prompt = preset.system_prompt
@@ -1887,6 +2068,7 @@ class AppController:
self.ui_project_preset_name = name
def _cb_save_preset(self, name, content, scope):
print(f"[DEBUG] _cb_save_preset: name={name}, scope={scope}")
if not name or not name.strip():
raise ValueError("Preset name cannot be empty or whitespace.")
preset = models.Preset(
@@ -1895,6 +2077,7 @@ class AppController:
)
self.preset_manager.save_preset(preset, scope)
self.presets = self.preset_manager.load_all()
print(f"[DEBUG] _cb_save_preset: saved {name}, total presets now {len(self.presets)}")
def _cb_delete_preset(self, name, scope):
self.preset_manager.delete_preset(name, scope)
@@ -1927,7 +2110,7 @@ class AppController:
def _cb_load_track(self, track_id: str) -> None:
state = project_manager.load_track_state(track_id, self.ui_files_base_dir)
state = project_manager.load_track_state(track_id, self.active_project_root)
if state:
try:
# Convert list[Ticket] or list[dict] to list[Ticket] for Track object
@@ -1945,7 +2128,7 @@ class AppController:
# Keep dicts for UI table (or convert models.Ticket objects back to dicts if needed)
self.active_tickets = [asdict(t) if not isinstance(t, dict) else t for t in tickets]
# Load track-scoped history
history = project_manager.load_track_history(track_id, self.ui_files_base_dir)
history = project_manager.load_track_history(track_id, self.active_project_root)
with self._disc_entries_lock:
if history:
self.disc_entries = models.parse_history_entries(history, self.disc_roles)
@@ -1960,7 +2143,8 @@ class AppController:
def _save_active_project(self) -> None:
if self.active_project_path:
try:
project_manager.save_project(self.project, self.active_project_path)
cleaned = project_manager.clean_nones(self.project)
project_manager.save_project(cleaned, self.active_project_path)
except Exception as e:
self._set_status(f"save error: {e}")
@@ -1987,7 +2171,7 @@ class AppController:
def _flush_disc_entries_to_project(self) -> None:
history_strings = [project_manager.entry_to_str(e) for e in self.disc_entries]
if self.active_track and self._track_discussion_active:
project_manager.save_track_history(self.active_track.id, history_strings, self.ui_files_base_dir)
project_manager.save_track_history(self.active_track.id, history_strings, self.active_project_root)
return
disc_sec = self.project.setdefault("discussion", {})
discussions = disc_sec.setdefault("discussions", {})
@@ -2004,6 +2188,20 @@ class AppController:
discussions[name] = project_manager.default_discussion()
self._switch_discussion(name)
def _branch_discussion(self, index: int) -> None:
self._flush_disc_entries_to_project()
# Generate a unique branch name
base_name = self.active_discussion.split("_take_")[0]
counter = 1
new_name = f"{base_name}_take_{counter}"
disc_sec = self.project.get("discussion", {})
discussions = disc_sec.get("discussions", {})
while new_name in discussions:
counter += 1
new_name = f"{base_name}_take_{counter}"
project_manager.branch_discussion(self.project, self.active_discussion, new_name, index)
self._switch_discussion(new_name)
def _rename_discussion(self, old_name: str, new_name: str) -> None:
disc_sec = self.project.get("discussion", {})
discussions = disc_sec.get("discussions", {})
@@ -2157,7 +2355,7 @@ class AppController:
file_path, definition, line = res
user_msg += f'\n\n[Definition: {symbol} from {file_path} (line {line})]\n```python\n{definition}\n```'
base_dir = self.ui_files_base_dir
base_dir = self.active_project_root
sys.stderr.write(f"[DEBUG] _do_generate success. Prompt: {user_msg[:50]}...\n")
sys.stderr.flush()
# Prepare event payload
@@ -2180,7 +2378,7 @@ class AppController:
threading.Thread(target=worker, daemon=True).start()
def _recalculate_session_usage(self) -> None:
usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0, "total_tokens": 0, "last_latency": 0.0}
usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0, "total_tokens": 0, "last_latency": 0.0, "percentage": self.session_usage.get("percentage", 0.0)}
for entry in ai_client.get_comms_log():
if entry.get("kind") == "response" and "usage" in entry.get("payload", {}):
u = entry["payload"]["usage"]
@@ -2195,6 +2393,8 @@ class AppController:
def _refresh_api_metrics(self, payload: dict[str, Any], md_content: str | None = None) -> None:
if "latency" in payload:
self.session_usage["last_latency"] = payload["latency"]
if "usage" in payload and "percentage" in payload["usage"]:
self.session_usage["percentage"] = payload["usage"]["percentage"]
self._recalculate_session_usage()
if md_content is not None:
stats = ai_client.get_token_stats(md_content)
@@ -2250,11 +2450,11 @@ class AppController:
proj["screenshots"]["paths"] = self.screenshots
proj.setdefault("project", {})
proj["project"]["git_dir"] = self.ui_project_git_dir
proj.setdefault("conductor", {})["dir"] = self.ui_project_conductor_dir
proj["project"]["system_prompt"] = self.ui_project_system_prompt
proj["project"]["main_context"] = self.ui_project_main_context
proj["project"]["active_preset"] = self.ui_project_preset_name
proj["project"]["word_wrap"] = self.ui_word_wrap
proj["project"]["summary_only"] = self.ui_summary_only
proj["project"]["auto_scroll_comms"] = self.ui_auto_scroll_comms
proj["project"]["auto_scroll_tool_calls"] = self.ui_auto_scroll_tool_calls
proj.setdefault("gemini_cli", {})["binary_path"] = self.ui_gemini_cli_path
@@ -2275,6 +2475,9 @@ class AppController:
else:
mma_sec["active_track"] = None
cleaned_proj = project_manager.clean_nones(proj)
project_manager.save_project(cleaned_proj, self.active_project_path)
def _flush_to_config(self) -> None:
self.config["ai"] = {
"provider": self.current_provider,
@@ -2295,6 +2498,7 @@ class AppController:
"separate_message_panel": getattr(self, "ui_separate_message_panel", False),
"separate_response_panel": getattr(self, "ui_separate_response_panel", False),
"separate_tool_calls_panel": getattr(self, "ui_separate_tool_calls_panel", False),
"separate_external_tools": getattr(self, "ui_separate_external_tools", False),
"separate_task_dag": self.ui_separate_task_dag,
"separate_usage_analytics": self.ui_separate_usage_analytics,
"separate_tier1": self.ui_separate_tier1,
@@ -2311,7 +2515,6 @@ class AppController:
def _do_generate(self) -> tuple[str, Path, list[dict[str, Any]], str, str]:
"""Returns (full_md, output_path, file_items, stable_md, discussion_text)."""
self._flush_to_project()
self._save_active_project()
self._flush_to_config()
models.save_config(self.config)
track_id = self.active_track.id if self.active_track else None
@@ -2325,6 +2528,11 @@ 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:
@@ -2338,7 +2546,7 @@ class AppController:
sys.stderr.flush()
proj = project_manager.load_project(self.active_project_path)
flat = project_manager.flat_config(self.project)
file_items = aggregate.build_file_items(Path(self.ui_files_base_dir), flat.get("files", {}).get("paths", []))
file_items = aggregate.build_file_items(Path(self.active_project_root), flat.get("files", {}).get("paths", []))
_t1_baseline = len(ai_client.get_comms_log())
tracks = orchestrator_pm.generate_tracks(self.ui_epic_input, flat, file_items, history_summary=history)
@@ -2390,7 +2598,7 @@ class AppController:
for i, file_path in enumerate(files_to_scan):
try:
self._set_status(f"Phase 2: Scanning files ({i+1}/{len(files_to_scan)})...")
abs_path = Path(self.ui_files_base_dir) / file_path
abs_path = Path(self.active_project_root) / file_path
if abs_path.exists() and abs_path.suffix == ".py":
with open(abs_path, "r", encoding="utf-8") as f:
code = f.read()
@@ -2425,6 +2633,7 @@ class AppController:
# Use the active track object directly to start execution
self._set_mma_status("running")
engine = multi_agent_conductor.ConductorEngine(self.active_track, self.event_queue, auto_queue=not self.mma_step_mode)
self.engine = engine
flat = project_manager.flat_config(self.project, self.active_discussion, track_id=self.active_track.id)
full_md, _, _ = aggregate.run(flat)
threading.Thread(target=engine.run, kwargs={"md_content": full_md}, daemon=True).start()
@@ -2491,13 +2700,14 @@ class AppController:
# Initialize track state in the filesystem
meta = models.Metadata(id=track_id, name=title, status="todo", created_at=datetime.now(), updated_at=datetime.now())
state = models.TrackState(metadata=meta, discussion=[], tasks=tickets)
project_manager.save_track_state(track_id, state, self.ui_files_base_dir)
project_manager.save_track_state(track_id, state, self.active_project_root)
# Add to memory and notify UI
self.tracks.append({"id": track_id, "title": title, "status": "todo"})
with self._pending_gui_tasks_lock:
self._pending_gui_tasks.append({'action': 'refresh_from_project'})
# 4. Initialize ConductorEngine and run loop
engine = multi_agent_conductor.ConductorEngine(track, self.event_queue, auto_queue=not self.mma_step_mode)
self.engine = engine
# Use current full markdown context for the track execution
track_id_param = track.id
flat = project_manager.flat_config(self.project, self.active_discussion, track_id=track_id_param)
@@ -2522,8 +2732,68 @@ class AppController:
break
self.event_queue.put("mma_skip", {"ticket_id": ticket_id})
def _spawn_worker(self, ticket_id: str, data: dict = None) -> None:
"""Manually initiates a sub-agent execution for a ticket."""
if self.engine:
for t in self.active_track.tickets:
if t.id == ticket_id:
t.status = "todo"
t.step_mode = False
break
self.engine.engine.auto_queue = True
self.event_queue.put("mma_retry", {"ticket_id": ticket_id})
def kill_worker(self, worker_id: str) -> None:
"""Aborts a running worker."""
if self.engine:
self.engine.kill_worker(worker_id)
def pause_mma(self) -> None:
"""Pauses the global MMA loop."""
self.mma_step_mode = True
if self.engine:
self.engine.pause()
def resume_mma(self) -> None:
"""Resumes the global MMA loop."""
self.mma_step_mode = False
if self.engine:
self.engine.resume()
def inject_context(self, data: dict) -> None:
"""Programmatic context injection."""
file_path = data.get("file_path")
if file_path:
if not os.path.isabs(file_path):
file_path = os.path.relpath(file_path, self.active_project_root)
existing = next((f for f in self.files if (f.path if hasattr(f, "path") else str(f)) == file_path), None)
if not existing:
item = models.FileItem(path=file_path)
self.files.append(item)
self._refresh_from_project()
def mutate_dag(self, data: dict) -> None:
"""Modifies task dependencies."""
ticket_id = data.get("ticket_id")
depends_on = data.get("depends_on")
if ticket_id and depends_on is not None:
for t in self.active_tickets:
if t.get("id") == ticket_id:
t["depends_on"] = depends_on
break
if self.active_track:
for t in self.active_track.tickets:
if t.id == ticket_id:
t.depends_on = depends_on
break
if self.engine:
from src.dag_engine import TrackDAG, ExecutionEngine
self.engine.dag = TrackDAG(self.active_track.tickets)
self.engine.engine = ExecutionEngine(self.engine.dag, auto_queue=self.engine.engine.auto_queue)
self._push_mma_state_update()
def _cb_run_conductor_setup(self) -> None:
base = paths.get_conductor_dir()
base = paths.get_conductor_dir(project_path=self.active_project_root)
if not base.exists():
self.ui_conductor_setup_summary = f"Error: {base}/ directory not found."
return
@@ -2553,7 +2823,7 @@ class AppController:
if not name: return
date_suffix = datetime.now().strftime("%Y%m%d")
track_id = f"{name.lower().replace(' ', '_')}_{date_suffix}"
track_dir = paths.get_tracks_dir() / track_id
track_dir = paths.get_track_state_dir(track_id, project_path=self.active_project_root)
track_dir.mkdir(parents=True, exist_ok=True)
spec_file = track_dir / "spec.md"
with open(spec_file, "w", encoding="utf-8") as f:
@@ -2572,7 +2842,7 @@ class AppController:
"progress": 0.0
}, f, indent=1)
# Refresh tracks from disk
self.tracks = project_manager.get_all_tracks(self.ui_files_base_dir)
self.tracks = project_manager.get_all_tracks(self.active_project_root)
def _push_mma_state_update(self) -> None:
if not self.active_track:
@@ -2580,7 +2850,7 @@ class AppController:
# Sync active_tickets (list of dicts) back to active_track.tickets (list of models.Ticket objects)
self.active_track.tickets = [models.Ticket.from_dict(t) for t in self.active_tickets]
# Save the state to disk
existing = project_manager.load_track_state(self.active_track.id, self.ui_files_base_dir)
existing = project_manager.load_track_state(self.active_track.id, self.active_project_root)
meta = models.Metadata(
id=self.active_track.id,
name=self.active_track.description,
@@ -2593,5 +2863,5 @@ class AppController:
discussion=existing.discussion if existing else [],
tasks=self.active_track.tickets
)
project_manager.save_track_state(self.active_track.id, state, self.ui_files_base_dir)
project_manager.save_track_state(self.active_track.id, state, self.active_project_root)
+1 -1
View File
@@ -12,7 +12,7 @@ class BackgroundShader:
self.ctx: Optional[nvg.Context] = None
def render(self, width: float, height: float):
if not self.enabled:
if not self.enabled or width <= 0 or height <= 0:
return
# In imgui-bundle, hello_imgui handles the background.
+17 -1
View File
@@ -91,7 +91,14 @@ class AsyncEventQueue:
"""
self._queue.put((event_name, payload))
if self.websocket_server:
self.websocket_server.broadcast("events", {"event": event_name, "payload": payload})
# Ensure payload is JSON serializable for websocket broadcast
serializable_payload = payload
if hasattr(payload, 'to_dict'):
serializable_payload = payload.to_dict()
elif hasattr(payload, '__dict__'):
serializable_payload = vars(payload)
self.websocket_server.broadcast("events", {"event": event_name, "payload": serializable_payload})
def get(self) -> Tuple[str, Any]:
"""
@@ -102,6 +109,15 @@ class AsyncEventQueue:
"""
return self._queue.get()
def empty(self) -> bool:
"""
Checks if the queue is empty.
Returns:
True if the queue is empty, False otherwise.
"""
return self._queue.empty()
def task_done(self) -> None:
"""Signals that a formerly enqueued task is complete."""
self._queue.task_done()
+919 -193
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File diff suppressed because it is too large Load Diff
+141 -7
View File
@@ -53,6 +53,8 @@ See Also:
from __future__ import annotations
import asyncio
import json
from src import models
from pathlib import Path
from typing import Optional, Callable, Any, cast
import os
@@ -915,6 +917,126 @@ def get_ui_performance() -> str:
return f"ERROR: Failed to retrieve UI performance: {str(e)}"
# ------------------------------------------------------------------ tool dispatch
class StdioMCPServer:
def __init__(self, config: models.MCPServerConfig):
self.config = config
self.name = config.name
self.proc = None
self.tools = {}
self._id_counter = 0
self._pending_requests = {}
self.status = 'idle'
def _get_id(self):
self._id_counter += 1
return self._id_counter
async def start(self):
self.status = 'starting'
self.proc = await asyncio.create_subprocess_exec(
self.config.command,
*self.config.args,
stdin=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE
)
asyncio.create_task(self._read_stderr())
await self.list_tools()
self.status = 'running'
async def stop(self):
if self.proc:
try:
if self.proc.stdin:
self.proc.stdin.close()
await self.proc.stdin.wait_closed()
except Exception:
pass
try:
self.proc.terminate()
await self.proc.wait()
except Exception:
pass
self.proc = None
self.status = 'idle'
async def _read_stderr(self):
while self.proc and not self.proc.stdout.at_eof():
line = await self.proc.stderr.readline()
if line:
print(f'[MCP:{self.name}:err] {line.decode().strip()}')
async def _send_request(self, method: str, params: dict = None):
req_id = self._get_id()
request = {
'jsonrpc': '2.0',
'id': req_id,
'method': method,
'params': params or {}
}
self.proc.stdin.write(json.dumps(request).encode() + b'\n')
await self.proc.stdin.drain()
# Simplistic wait for response - in real use, we'd need a read loop
# For now, we'll read one line and hope it's ours (fragile, but for MVP)
line = await self.proc.stdout.readline()
if line:
resp = json.loads(line.decode())
return resp.get('result')
return None
async def list_tools(self):
result = await self._send_request('tools/list')
if result and 'tools' in result:
for t in result['tools']:
self.tools[t['name']] = t
return self.tools
async def call_tool(self, name: str, arguments: dict):
result = await self._send_request('tools/call', {'name': name, 'arguments': arguments})
if result and 'content' in result:
return '\n'.join([c.get('text', '') for c in result['content'] if c.get('type') == 'text'])
return str(result)
class ExternalMCPManager:
def __init__(self):
self.servers = {}
async def add_server(self, config: models.MCPServerConfig):
if config.url:
# RemoteMCPServer placeholder
return
server = StdioMCPServer(config)
await server.start()
self.servers[config.name] = server
async def stop_all(self):
for server in self.servers.values():
await server.stop()
self.servers = {}
def get_all_tools(self) -> dict:
all_tools = {}
for sname, server in self.servers.items():
for tname, tool in server.tools.items():
all_tools[tname] = {**tool, 'server': sname, 'server_status': server.status}
return all_tools
def get_servers_status(self) -> dict[str, str]:
return {name: server.status for name, server in self.servers.items()}
async def async_dispatch(self, tool_name: str, tool_input: dict) -> str:
for server in self.servers.values():
if tool_name in server.tools:
return await server.call_tool(tool_name, tool_input)
return f'Error: External tool {tool_name} not found.'
_external_mcp_manager = ExternalMCPManager()
def get_external_mcp_manager() -> ExternalMCPManager:
global _external_mcp_manager
return _external_mcp_manager
TOOL_NAMES: set[str] = {"read_file", "list_directory", "search_files", "get_file_summary", "py_get_skeleton", "py_get_code_outline", "py_get_definition", "get_git_diff", "web_search", "fetch_url", "get_ui_performance", "get_file_slice", "set_file_slice", "edit_file", "py_update_definition", "py_get_signature", "py_set_signature", "py_get_class_summary", "py_get_var_declaration", "py_set_var_declaration", "py_find_usages", "py_get_imports", "py_check_syntax", "py_get_hierarchy", "py_get_docstring", "get_tree"}
def dispatch(tool_name: str, tool_input: dict[str, Any]) -> str:
@@ -987,17 +1109,29 @@ def dispatch(tool_name: str, tool_input: dict[str, Any]) -> str:
return f"ERROR: unknown MCP tool '{tool_name}'"
async def async_dispatch(tool_name: str, tool_input: dict[str, Any]) -> str:
"""
Dispatch an MCP tool call by name asynchronously. Returns the result as a string.
"""
# Run blocking I/O bound tools in a thread to allow parallel execution via asyncio.gather
return await asyncio.to_thread(dispatch, tool_name, tool_input)
# Check native tools
native_names = {t['name'] for t in MCP_TOOL_SPECS}
if tool_name in native_names:
return await asyncio.to_thread(dispatch, tool_name, tool_input)
# Check external tools
if tool_name in get_external_mcp_manager().get_all_tools():
return await get_external_mcp_manager().async_dispatch(tool_name, tool_input)
return f'ERROR: unknown MCP tool {tool_name}'
def get_tool_schemas() -> list[dict[str, Any]]:
"""Returns the list of tool specifications for the AI."""
return list(MCP_TOOL_SPECS)
res = list(MCP_TOOL_SPECS)
manager = get_external_mcp_manager()
for tname, tinfo in manager.get_all_tools().items():
res.append({
'name': tname,
'description': tinfo.get('description', ''),
'parameters': tinfo.get('inputSchema', {'type': 'object', 'properties': {}})
})
return res
# ------------------------------------------------------------------ tool schema helpers
+92 -5
View File
@@ -37,6 +37,8 @@ See Also:
- src/project_manager.py for persistence layer
"""
from __future__ import annotations
import json
import os
import tomllib
import datetime
from dataclasses import dataclass, field
@@ -46,6 +48,13 @@ from src.paths import get_config_path
CONFIG_PATH = get_config_path()
def _clean_nones(data: Any) -> Any:
if isinstance(data, dict):
return {k: _clean_nones(v) for k, v in data.items() if v is not None}
elif isinstance(data, list):
return [_clean_nones(v) for v in data if v is not None]
return data
def load_config() -> dict[str, Any]:
with open(CONFIG_PATH, "rb") as f:
return tomllib.load(f)
@@ -53,6 +62,7 @@ def load_config() -> dict[str, Any]:
def save_config(config: dict[str, Any]) -> None:
import tomli_w
import sys
config = _clean_nones(config)
sys.stderr.write(f"[DEBUG] Saving config. Theme: {config.get('theme')}\n")
sys.stderr.flush()
with open(CONFIG_PATH, "wb") as f:
@@ -101,6 +111,7 @@ 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 = ""
@@ -118,11 +129,30 @@ def parse_history_entries(history_strings: list[str], roles: list[str]) -> list[
content = rest[match.end():].strip()
else:
content = rest
entries.append({"role": role, "content": content, "collapsed": True, "ts": ts})
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)
return entries
@dataclass
@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
class Ticket:
id: str
@@ -229,8 +259,6 @@ class Track:
)
@dataclass
@dataclass
@dataclass
class WorkerContext:
ticket_id: str
@@ -329,12 +357,14 @@ 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
@@ -343,6 +373,7 @@ 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
@@ -438,6 +469,7 @@ 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]:
@@ -480,6 +512,8 @@ 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
@@ -497,7 +531,7 @@ class Persona:
for k in ["provider", "model", "temperature", "top_p", "max_output_tokens"]:
if data.get(k) is not None:
legacy[k] = data[k]
if legacy:
if not parsed_models:
parsed_models.append(legacy)
@@ -513,5 +547,58 @@ 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
command: Optional[str] = None
args: List[str] = field(default_factory=list)
url: Optional[str] = None
auto_start: bool = False
def to_dict(self) -> Dict[str, Any]:
res = {'auto_start': self.auto_start}
if self.command: res['command'] = self.command
if self.args: res['args'] = self.args
if self.url: res['url'] = self.url
return res
@classmethod
def from_dict(cls, name: str, data: Dict[str, Any]) -> 'MCPServerConfig':
return cls(
name=name,
command=data.get('command'),
args=data.get('args', []),
url=data.get('url'),
auto_start=data.get('auto_start', False),
)
@dataclass
class MCPConfiguration:
mcpServers: Dict[str, MCPServerConfig] = field(default_factory=dict)
def to_dict(self) -> Dict[str, Any]:
return {
'mcpServers': {name: cfg.to_dict() for name, cfg in self.mcpServers.items()}
}
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'MCPConfiguration':
raw_servers = data.get('mcpServers', {})
parsed_servers = {
name: MCPServerConfig.from_dict(name, cfg)
for name, cfg in raw_servers.items()
}
return cls(mcpServers=parsed_servers)
def load_mcp_config(path: str) -> MCPConfiguration:
if not os.path.exists(path):
return MCPConfiguration()
with open(path, 'r', encoding='utf-8') as f:
try:
data = json.load(f)
return MCPConfiguration.from_dict(data)
except Exception:
return MCPConfiguration()
+81 -30
View File
@@ -6,29 +6,28 @@ This module provides centralized path resolution for all configurable paths in t
Environment Variables:
SLOP_CONFIG: Path to config.toml
SLOP_CONDUCTOR_DIR: Path to conductor directory
SLOP_LOGS_DIR: Path to logs directory
SLOP_SCRIPTS_DIR: Path to generated scripts directory
Configuration (config.toml):
[paths]
conductor_dir = "conductor"
logs_dir = "logs/sessions"
scripts_dir = "scripts/generated"
Path Functions:
get_config_path() -> Path to config.toml
get_conductor_dir() -> Path to conductor directory
get_conductor_dir(project_path=None) -> Path to conductor directory
get_logs_dir() -> Path to logs/sessions
get_scripts_dir() -> Path to scripts/generated
get_tracks_dir() -> Path to conductor/tracks
get_track_state_dir(track_id) -> Path to conductor/tracks/<track_id>
get_archive_dir() -> Path to conductor/archive
get_tracks_dir(project_path=None) -> Path to conductor/tracks
get_track_state_dir(track_id, project_path=None) -> Path to conductor/tracks/<track_id>
get_archive_dir(project_path=None) -> Path to conductor/archive
Resolution Order:
1. Check environment variable
2. Check config.toml [paths] section
3. Fall back to default
1. Check project-specific manual_slop.toml (for conductor paths)
2. Check environment variable (for logs/scripts)
3. Check config.toml [paths] section (for logs/scripts)
4. Fall back to default
Usage:
from src.paths import get_logs_dir, get_scripts_dir
@@ -44,16 +43,18 @@ See Also:
from pathlib import Path
import os
import tomllib
from typing import Optional
from typing import Optional, Any
_RESOLVED: dict[str, Path] = {}
def get_config_path() -> Path:
root_dir = Path(__file__).resolve().parent.parent
return Path(os.environ.get("SLOP_CONFIG", root_dir / "config.toml"))
def get_global_presets_path() -> Path:
root_dir = Path(__file__).resolve().parent.parent
return Path(os.environ.get("SLOP_GLOBAL_PRESETS", root_dir / "presets.toml"))
def get_project_presets_path(project_root: Path) -> Path:
return project_root / "project_presets.toml"
@@ -72,21 +73,50 @@ def get_project_personas_path(project_root: Path) -> Path:
return project_root / "project_personas.toml"
def _resolve_path(env_var: str, config_key: str, default: str) -> Path:
root_dir = Path(__file__).resolve().parent.parent
p = None
if env_var in os.environ:
return Path(os.environ[env_var])
try:
with open(get_config_path(), "rb") as f:
cfg = tomllib.load(f)
if "paths" in cfg and config_key in cfg["paths"]:
return Path(cfg["paths"][config_key])
except FileNotFoundError:
pass
return Path(default)
p = Path(os.environ[env_var])
else:
try:
with open(get_config_path(), "rb") as f:
cfg = tomllib.load(f)
if "paths" in cfg and config_key in cfg["paths"]:
p = Path(cfg["paths"][config_key])
except (FileNotFoundError, tomllib.TOMLDecodeError):
pass
if p is None:
p = Path(default)
if not p.is_absolute():
return root_dir / p
return p
def get_conductor_dir() -> Path:
if "conductor_dir" not in _RESOLVED:
_RESOLVED["conductor_dir"] = _resolve_path("SLOP_CONDUCTOR_DIR", "conductor_dir", "conductor")
return _RESOLVED["conductor_dir"]
def _get_project_conductor_dir_from_toml(project_root: Path) -> Optional[Path]:
# Look for manual_slop.toml in project_root
toml_path = project_root / 'manual_slop.toml'
if not toml_path.exists(): return None
try:
with open(toml_path, 'rb') as f:
data = tomllib.load(f)
# Check [conductor] dir = '...'
c_dir = data.get('conductor', {}).get('dir')
if c_dir:
p = Path(c_dir)
if not p.is_absolute(): p = project_root / p
return p.resolve()
except: pass
return None
def get_conductor_dir(project_path: Optional[str] = None) -> Path:
if not project_path:
# Fallback for legacy/tests, but we should avoid this
return Path('conductor').resolve()
project_root = Path(project_path).resolve()
p = _get_project_conductor_dir_from_toml(project_root)
if p: return p
return (project_root / "conductor").resolve()
def get_logs_dir() -> Path:
if "logs_dir" not in _RESOLVED:
@@ -98,16 +128,37 @@ def get_scripts_dir() -> Path:
_RESOLVED["scripts_dir"] = _resolve_path("SLOP_SCRIPTS_DIR", "scripts_dir", "scripts/generated")
return _RESOLVED["scripts_dir"]
def get_tracks_dir() -> Path:
return get_conductor_dir() / "tracks"
def get_tracks_dir(project_path: Optional[str] = None) -> Path:
return get_conductor_dir(project_path) / "tracks"
def get_track_state_dir(track_id: str) -> Path:
return get_tracks_dir() / track_id
def get_track_state_dir(track_id: str, project_path: Optional[str] = None) -> Path:
return get_tracks_dir(project_path) / track_id
def get_archive_dir() -> Path:
return get_conductor_dir() / "archive"
def get_archive_dir(project_path: Optional[str] = None) -> Path:
return get_conductor_dir(project_path) / "archive"
def _resolve_path_info(env_var: str, config_key: str, default: str) -> dict[str, Any]:
if env_var in os.environ:
return {'path': Path(os.environ[env_var]).resolve(), 'source': f'env:{env_var}'}
try:
with open(get_config_path(), 'rb') as f:
cfg = tomllib.load(f)
if 'paths' in cfg and config_key in cfg['paths']:
p = Path(cfg['paths'][config_key])
if not p.is_absolute():
p = (Path(__file__).resolve().parent.parent / p).resolve()
return {'path': p, 'source': 'config.toml'}
except: pass
root_dir = Path(__file__).resolve().parent.parent
p = (root_dir / default).resolve()
return {'path': p, 'source': 'default'}
def get_full_path_info() -> dict[str, dict[str, Any]]:
return {
'logs_dir': _resolve_path_info('SLOP_LOGS_DIR', 'logs_dir', 'logs/sessions'),
'scripts_dir': _resolve_path_info('SLOP_SCRIPTS_DIR', 'scripts_dir', 'scripts/generated')
}
def reset_resolved() -> None:
"""For testing only - clear cached resolutions."""
_RESOLVED.clear()
+73 -8
View File
@@ -33,6 +33,14 @@ 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}"
@@ -93,6 +101,7 @@ 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": {
@@ -196,6 +205,7 @@ def save_project(proj: dict[str, Any], path: Union[str, Path], disc_data: Option
disc_data = proj["discussion"]
proj = dict(proj)
del proj["discussion"]
proj = clean_nones(proj)
with open(path, "wb") as f:
tomli_w.dump(proj, f)
if disc_data:
@@ -230,22 +240,44 @@ def flat_config(proj: dict[str, Any], disc_name: Optional[str] = None, track_id:
disc_data = disc_sec.get("discussions", {}).get(name, {})
history = disc_data.get("history", [])
return {
"project": proj.get("project", {}),
"output": proj.get("output", {}),
"files": proj.get("files", {}),
"screenshots": proj.get("screenshots", {}),
"discussion": {
"project": proj.get("project", {}),
"output": proj.get("output", {}),
"files": proj.get("files", {}),
"screenshots": proj.get("screenshots", {}),
"context_presets": proj.get("context_presets", {}),
"discussion": {
"roles": disc_sec.get("roles", []),
"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:
"""
Saves a TrackState object to conductor/tracks/<track_id>/state.toml.
"""
track_dir = Path(base_dir) / paths.get_track_state_dir(track_id)
track_dir = paths.get_track_state_dir(track_id, project_path=str(base_dir))
track_dir.mkdir(parents=True, exist_ok=True)
state_file = track_dir / "state.toml"
data = clean_nones(state.to_dict())
@@ -257,7 +289,7 @@ def load_track_state(track_id: str, base_dir: Union[str, Path] = ".") -> Optiona
Loads a TrackState object from conductor/tracks/<track_id>/state.toml.
"""
from src.models import TrackState
state_file = Path(base_dir) / paths.get_track_state_dir(track_id) / "state.toml"
state_file = paths.get_track_state_dir(track_id, project_path=str(base_dir)) / 'state.toml'
if not state_file.exists():
return None
with open(state_file, "rb") as f:
@@ -302,7 +334,7 @@ def get_all_tracks(base_dir: Union[str, Path] = ".") -> list[dict[str, Any]]:
Handles missing or malformed metadata.json or state.toml by falling back
to available info or defaults.
"""
tracks_dir = Path(base_dir) / paths.get_tracks_dir()
tracks_dir = paths.get_tracks_dir(project_path=str(base_dir))
if not tracks_dir.exists():
return []
results: list[dict[str, Any]] = []
@@ -392,3 +424,36 @@ def calculate_track_progress(tickets: list) -> dict:
"todo": todo
}
def branch_discussion(project_dict: dict, source_id: str, new_id: str, message_index: int) -> None:
"""
Creates a new discussion in project_dict['discussion']['discussions'] by copying
the history from source_id up to (and including) message_index, and sets active to new_id.
"""
if "discussion" not in project_dict or "discussions" not in project_dict["discussion"]:
return
if source_id not in project_dict["discussion"]["discussions"]:
return
source_disc = project_dict["discussion"]["discussions"][source_id]
new_disc = default_discussion()
new_disc["git_commit"] = source_disc.get("git_commit", "")
# Copy history up to and including message_index
new_disc["history"] = source_disc["history"][:message_index + 1]
project_dict["discussion"]["discussions"][new_id] = new_disc
project_dict["discussion"]["active"] = new_id
def promote_take(project_dict: dict, take_id: str, new_id: str) -> None:
"""Renames a take_id to new_id in the discussions dict."""
if "discussion" not in project_dict or "discussions" not in project_dict["discussion"]:
return
if take_id not in project_dict["discussion"]["discussions"]:
return
disc = project_dict["discussion"]["discussions"].pop(take_id)
project_dict["discussion"]["discussions"][new_id] = disc
# If the take was active, update the active pointer
if project_dict["discussion"].get("active") == take_id:
project_dict["discussion"]["active"] = new_id
+5
View File
@@ -112,6 +112,11 @@ def close_session() -> None:
except Exception as e:
print(f"Warning: Could not update auto-whitelist on close: {e}")
def reset_session(label: Optional[str] = None) -> None:
"""Closes the current session and opens a new one with the given label."""
close_session()
open_session(label)
def log_api_hook(method: str, path: str, payload: str) -> None:
"""Log an API hook invocation."""
if _api_fh is None:
+153
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@@ -0,0 +1,153 @@
import OpenGL.GL as gl
class ShaderManager:
def __init__(self):
self.program = None
self.bg_program = None
self.pp_program = None
def compile_shader(self, vertex_src: str, fragment_src: str) -> int:
program = gl.glCreateProgram()
def _compile(src, shader_type):
shader = gl.glCreateShader(shader_type)
gl.glShaderSource(shader, src)
gl.glCompileShader(shader)
if not gl.glGetShaderiv(shader, gl.GL_COMPILE_STATUS):
info_log = gl.glGetShaderInfoLog(shader)
if hasattr(info_log, "decode"):
info_log = info_log.decode()
raise RuntimeError(f"Shader compilation failed: {info_log}")
return shader
vert_shader = _compile(vertex_src, gl.GL_VERTEX_SHADER)
frag_shader = _compile(fragment_src, gl.GL_FRAGMENT_SHADER)
gl.glAttachShader(program, vert_shader)
gl.glAttachShader(program, frag_shader)
gl.glLinkProgram(program)
if not gl.glGetProgramiv(program, gl.GL_LINK_STATUS):
info_log = gl.glGetProgramInfoLog(program)
if hasattr(info_log, "decode"):
info_log = info_log.decode()
raise RuntimeError(f"Program linking failed: {info_log}")
gl.glDeleteShader(vert_shader)
gl.glDeleteShader(frag_shader)
self.program = program
return program
def update_uniforms(self, uniforms: dict):
if self.program is None:
return
for name, value in uniforms.items():
loc = gl.glGetUniformLocation(self.program, name)
if loc == -1:
continue
if isinstance(value, float):
gl.glUniform1f(loc, value)
elif isinstance(value, int):
gl.glUniform1i(loc, value)
elif isinstance(value, (list, tuple)):
if len(value) == 2:
gl.glUniform2f(loc, value[0], value[1])
elif len(value) == 3:
gl.glUniform3f(loc, value[0], value[1], value[2])
elif len(value) == 4:
gl.glUniform4f(loc, value[0], value[1], value[2], value[3])
def setup_background_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)
);
void main() {
gl_Position = vec4(positions[gl_VertexID], 0.0, 1.0);
}
"""
fragment_src = """
#version 330 core
uniform float u_time;
uniform vec2 u_resolution;
out vec4 FragColor;
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));
FragColor = vec4(col, 1.0);
}
"""
self.bg_program = self.compile_shader(vertex_src, fragment_src)
def render_background(self, width, height, time):
if not self.bg_program:
return
gl.glUseProgram(self.bg_program)
u_time_loc = gl.glGetUniformLocation(self.bg_program, "u_time")
if u_time_loc != -1:
gl.glUniform1f(u_time_loc, float(time))
u_res_loc = gl.glGetUniformLocation(self.bg_program, "u_resolution")
if u_res_loc != -1:
gl.glUniform2f(u_res_loc, float(width), float(height))
gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
gl.glUseProgram(0)
def setup_post_process_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 = """
#version 330 core
in vec2 v_uv;
uniform sampler2D u_texture;
uniform float u_time;
out vec4 FragColor;
void main() {
vec4 color = texture(u_texture, v_uv);
float scanline = sin(v_uv.y * 800.0 + u_time * 2.0) * 0.04;
color.rgb -= scanline;
FragColor = color;
}
"""
self.pp_program = self.compile_shader(vertex_src, fragment_src)
def render_post_process(self, texture_id, width, height, time):
if not self.pp_program:
return
gl.glUseProgram(self.pp_program)
gl.glActiveTexture(gl.GL_TEXTURE0)
gl.glBindTexture(gl.GL_TEXTURE_2D, texture_id)
u_tex_loc = gl.glGetUniformLocation(self.pp_program, "u_texture")
if u_tex_loc != -1:
gl.glUniform1i(u_tex_loc, 0)
u_time_loc = gl.glGetUniformLocation(self.pp_program, "u_time")
if u_time_loc != -1:
gl.glUniform1f(u_time_loc, float(time))
gl.glDrawArrays(gl.GL_TRIANGLE_STRIP, 0, 4)
gl.glBindTexture(gl.GL_TEXTURE_2D, 0)
gl.glUseProgram(0)
+42
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@@ -0,0 +1,42 @@
def format_takes_diff(takes: dict[str, list[dict]]) -> str:
if not takes:
return ""
histories = list(takes.values())
if not histories:
return ""
min_len = min(len(h) for h in histories)
common_prefix_len = 0
for i in range(min_len):
first_msg = histories[0][i]
if all(h[i] == first_msg for h in histories):
common_prefix_len += 1
else:
break
shared_lines = []
for i in range(common_prefix_len):
msg = histories[0][i]
shared_lines.append(f"{msg.get('role', 'unknown')}: {msg.get('content', '')}")
shared_text = "=== Shared History ==="
if shared_lines:
shared_text += "\n" + "\n".join(shared_lines)
variation_lines = []
if len(takes) > 1:
for take_name, history in takes.items():
if len(history) > common_prefix_len:
variation_lines.append(f"[{take_name}]")
for i in range(common_prefix_len, len(history)):
msg = history[i]
variation_lines.append(f"{msg.get('role', 'unknown')}: {msg.get('content', '')}")
variation_lines.append("")
else:
# Single take case
pass
variations_text = "=== Variations ===\n" + "\n".join(variation_lines)
return shared_text + "\n\n" + variations_text
+19
View File
@@ -268,6 +268,12 @@ _current_palette: str = "DPG Default"
_current_font_path: str = ""
_current_font_size: float = 14.0
_current_scale: float = 1.0
_shader_config: dict[str, Any] = {
"crt": False,
"bloom": False,
"bg": "none",
"custom_window_frame": False,
}
# ------------------------------------------------------------------ public API
@@ -286,6 +292,14 @@ def get_current_font_size() -> float:
def get_current_scale() -> float:
return _current_scale
def get_shader_config(key: str) -> Any:
"""Get a specific shader configuration value."""
return _shader_config.get(key)
def get_window_frame_config() -> bool:
"""Get the window frame configuration."""
return _shader_config.get("custom_window_frame", False)
def get_palette_colours(name: str) -> dict[str, Any]:
"""Return a copy of the colour dict for the named palette."""
return dict(_PALETTES.get(name, {}))
@@ -388,4 +402,9 @@ def load_from_config(config: dict[str, Any]) -> None:
if font_path:
apply_font(font_path, font_size)
set_scale(scale)
global _shader_config
_shader_config["crt"] = t.get("shader_crt", False)
_shader_config["bloom"] = t.get("shader_bloom", False)
_shader_config["bg"] = t.get("shader_bg", "none")
_shader_config["custom_window_frame"] = t.get("custom_window_frame", False)
+53
View File
@@ -0,0 +1,53 @@
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()
BIN
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+2
View File
@@ -0,0 +1,2 @@
[presets.ModalPreset]
system_prompt = "Modal Content"
+18 -3
View File
@@ -200,14 +200,29 @@ def live_gui() -> Generator[tuple[subprocess.Popen, str], None, None]:
temp_workspace.mkdir(parents=True, exist_ok=True)
# Create minimal project files to avoid cluttering root
(temp_workspace / "manual_slop.toml").write_text("[project]\nname = 'TestProject'\n", encoding="utf-8")
(temp_workspace / "manual_slop.toml").write_text("[project]\nname = 'TestProject'\n\n[conductor]\ndir = 'conductor'\n", encoding="utf-8")
(temp_workspace / "conductor" / "tracks").mkdir(parents=True, exist_ok=True)
# Create a local config.toml in temp_workspace
config_content = {
'ai': {'provider': 'gemini', 'model': 'gemini-2.5-flash-lite'},
'projects': {
'paths': [str((temp_workspace / 'manual_slop.toml').absolute())],
'active': str((temp_workspace / 'manual_slop.toml').absolute())
},
'paths': {
'logs_dir': str((temp_workspace / "logs").absolute()),
'scripts_dir': str((temp_workspace / "scripts" / "generated").absolute())
}
}
import tomli_w
with open(temp_workspace / 'config.toml', 'wb') as f:
tomli_w.dump(config_content, f)
# Resolve absolute paths for shared resources
project_root = Path(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
config_file = temp_workspace / "config.toml"
if not config_file.exists():
config_file = project_root / "config.toml"
cred_file = project_root / "credentials.toml"
mcp_file = project_root / "mcp_env.toml"
+1
View File
@@ -36,6 +36,7 @@ def test_app_processes_new_actions() -> None:
with patch('src.models.load_config', return_value={}), \
patch('src.performance_monitor.PerformanceMonitor'), \
patch('src.session_logger.open_session'), \
patch('src.session_logger.reset_session'), \
patch('src.app_controller.AppController._prune_old_logs'), \
patch('src.app_controller.AppController._load_active_project'):
app = gui_2.App()
+106
View File
@@ -0,0 +1,106 @@
import os
import json
import pytest
from pathlib import Path
from src.app_controller import AppController
from src import models
@pytest.fixture
def controller(tmp_path):
# Setup mock config and project files
config_path = tmp_path / "config.toml"
project_path = tmp_path / "project.toml"
mcp_config_path = tmp_path / "mcp_config.json"
config_data = {
"ai": {
"mcp_config_path": str(mcp_config_path)
},
"projects": {
"paths": [str(project_path)],
"active": str(project_path)
}
}
project_data = {
"project": {
"name": "test-project",
"mcp_config_path": "project_mcp.json" # Relative path
}
}
mcp_data = {
"mcpServers": {
"global-server": {"command": "echo"}
}
}
project_mcp_data = {
"mcpServers": {
"project-server": {"command": "echo"}
}
}
# We can't easily use models.save_config because it uses a hardcoded path
# But AppController.init_state calls models.load_config() which uses CONFIG_PATH
return AppController()
def test_app_controller_mcp_loading(tmp_path, monkeypatch):
# Mock CONFIG_PATH to point to our temp config
config_file = tmp_path / "config.toml"
monkeypatch.setattr(models, "CONFIG_PATH", str(config_file))
mcp_global_file = tmp_path / "mcp_global.json"
mcp_global_file.write_text(json.dumps({"mcpServers": {"global": {"command": "echo"}}}))
config_content = f"""
[ai]
mcp_config_path = "{mcp_global_file.as_posix()}"
[projects]
paths = []
active = ""
"""
config_file.write_text(config_content)
ctrl = AppController()
# Mock _load_active_project to not do anything for now
monkeypatch.setattr(ctrl, "_load_active_project", lambda: None)
ctrl.project = {}
ctrl.init_state()
assert "global" in ctrl.mcp_config.mcpServers
assert ctrl.mcp_config.mcpServers["global"].command == "echo"
def test_app_controller_mcp_project_override(tmp_path, monkeypatch):
config_file = tmp_path / "config.toml"
monkeypatch.setattr(models, "CONFIG_PATH", str(config_file))
project_file = tmp_path / "project.toml"
mcp_project_file = tmp_path / "mcp_project.json"
mcp_project_file.write_text(json.dumps({"mcpServers": {"project": {"command": "echo"}}}))
config_content = f"""
[ai]
mcp_config_path = "non-existent.json"
[projects]
paths = ["{project_file.as_posix()}"]
active = "{project_file.as_posix()}"
"""
config_file.write_text(config_content)
ctrl = AppController()
ctrl.active_project_path = str(project_file)
ctrl.project = {
"project": {
"mcp_config_path": "mcp_project.json"
}
}
# Mock _load_active_project to keep our manual project dict
monkeypatch.setattr(ctrl, "_load_active_project", lambda: None)
ctrl.init_state()
assert "project" in ctrl.mcp_config.mcpServers
assert "non-existent" not in ctrl.mcp_config.mcpServers
+2
View File
@@ -47,6 +47,7 @@ class TestArchBoundaryPhase2(unittest.TestCase):
with patch('src.models.load_config', return_value={}), \
patch('src.performance_monitor.PerformanceMonitor'), \
patch('src.session_logger.open_session'), \
patch('src.session_logger.reset_session'), \
patch('src.app_controller.AppController._prune_old_logs'), \
patch('src.app_controller.AppController._init_ai_and_hooks'):
controller = AppController()
@@ -69,6 +70,7 @@ class TestArchBoundaryPhase2(unittest.TestCase):
with patch('src.models.load_config', return_value={}), \
patch('src.performance_monitor.PerformanceMonitor'), \
patch('src.session_logger.open_session'), \
patch('src.session_logger.reset_session'), \
patch('src.app_controller.AppController._prune_old_logs'), \
patch('src.app_controller.AppController._init_ai_and_hooks'):
controller = AppController()
+42
View File
@@ -0,0 +1,42 @@
import pytest
import inspect
def test_context_composition_panel_replaces_placeholder():
import src.gui_2 as gui_2
source = inspect.getsource(gui_2.App._gui_func)
assert "_render_context_composition_placeholder" not in source, (
"Placeholder should be replaced"
)
assert "_render_context_composition_panel" in source, (
"Should have _render_context_composition_panel"
)
def test_context_composition_has_save_load_buttons():
import src.gui_2 as gui_2
source = inspect.getsource(gui_2.App._render_context_composition_panel)
assert "Save as Preset" in source or "save" in source.lower(), (
"Should have Save functionality"
)
assert "Load Preset" in source or "load" in source.lower(), (
"Should have Load functionality"
)
def test_context_composition_shows_files():
import src.gui_2 as gui_2
source = inspect.getsource(gui_2.App._render_context_composition_panel)
assert "files" in source.lower() or "Files" in source, "Should show files"
def test_context_composition_has_preset_list():
import src.gui_2 as gui_2
source = inspect.getsource(gui_2.App._render_context_composition_panel)
assert "context_presets" in source or "preset" in source.lower(), (
"Should reference presets"
)
+59
View File
@@ -0,0 +1,59 @@
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"]
+14
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@@ -0,0 +1,14 @@
import pytest
import inspect
def test_context_presets_tab_removed_from_project_settings():
import src.gui_2 as gui_2
source = inspect.getsource(gui_2.App._gui_func)
assert "Context Presets" not in source, (
"Context Presets tab should be removed from Project Settings"
)
assert "_render_context_presets_panel" not in source, (
"Context presets panel call should be removed"
)
+50
View File
@@ -0,0 +1,50 @@
import unittest
from src import project_manager
class TestDiscussionTakes(unittest.TestCase):
def setUp(self):
self.project_dict = project_manager.default_project("test_branching")
# Populate initial history in 'main'
self.project_dict["discussion"]["discussions"]["main"]["history"] = [
"User: Message 0",
"AI: Response 0",
"User: Message 1",
"AI: Response 1",
"User: Message 2"
]
def test_branch_discussion_creates_new_take(self):
"""Verify that branch_discussion copies history up to index and sets active."""
source_id = "main"
new_id = "take_1"
message_index = 1
# This will fail with AttributeError until implemented in project_manager.py
project_manager.branch_discussion(self.project_dict, source_id, new_id, message_index)
# Asserts
self.assertIn(new_id, self.project_dict["discussion"]["discussions"])
new_history = self.project_dict["discussion"]["discussions"][new_id]["history"]
self.assertEqual(len(new_history), 2)
self.assertEqual(new_history[0], "User: Message 0")
self.assertEqual(new_history[1], "AI: Response 0")
self.assertEqual(self.project_dict["discussion"]["active"], new_id)
def test_promote_take_renames_discussion(self):
"""Verify that promote_take renames a discussion key."""
take_id = "take_experimental"
self.project_dict["discussion"]["discussions"][take_id] = project_manager.default_discussion()
self.project_dict["discussion"]["discussions"][take_id]["history"] = ["User: Experimental"]
new_id = "feature_refined"
# This will fail with AttributeError until implemented in project_manager.py
project_manager.promote_take(self.project_dict, take_id, new_id)
# Asserts
self.assertNotIn(take_id, self.project_dict["discussion"]["discussions"])
self.assertIn(new_id, self.project_dict["discussion"]["discussions"])
self.assertEqual(self.project_dict["discussion"]["discussions"][new_id]["history"], ["User: Experimental"])
if __name__ == "__main__":
unittest.main()
+96
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@@ -0,0 +1,96 @@
import pytest
from unittest.mock import MagicMock, patch, call
from src.gui_2 import App
@pytest.fixture
def app_instance():
with (
patch('src.models.load_config', return_value={'ai': {'provider': 'gemini', 'model': 'gemini-2.5-flash-lite'}, 'projects': {}}),
patch('src.models.save_config'),
patch('src.gui_2.project_manager'),
patch('src.gui_2.session_logger'),
patch('src.gui_2.immapp.run'),
patch('src.app_controller.AppController._load_active_project'),
patch('src.app_controller.AppController._fetch_models'),
patch.object(App, '_load_fonts'),
patch.object(App, '_post_init'),
patch('src.app_controller.AppController._prune_old_logs'),
patch('src.app_controller.AppController.start_services'),
patch('src.api_hooks.HookServer'),
patch('src.ai_client.set_provider'),
patch('src.ai_client.reset_session')
):
app = App()
# Setup project discussions
app.project = {
"discussion": {
"active": "main",
"discussions": {
"main": {"history": []},
"take_1": {"history": []},
"take_2": {"history": []}
}
}
}
app.active_discussion = "main"
app.is_viewing_prior_session = False
app.ui_disc_new_name_input = ""
app.ui_disc_truncate_pairs = 1
yield app
def test_render_discussion_tabs(app_instance):
"""Verify that _render_discussion_panel uses tabs for discussions."""
with patch('src.gui_2.imgui') as mock_imgui:
# Setup defaults for common imgui calls to avoid unpacking errors
mock_imgui.collapsing_header.return_value = True
mock_imgui.begin_combo.return_value = False
mock_imgui.input_text.return_value = (False, "")
mock_imgui.input_int.return_value = (False, 0)
mock_imgui.button.return_value = False
mock_imgui.checkbox.return_value = (False, False)
mock_imgui.begin_child.return_value = True
mock_imgui.selectable.return_value = (False, False)
# Mock tab bar calls
mock_imgui.begin_tab_bar.return_value = True
mock_imgui.begin_tab_item.return_value = (False, False)
app_instance._render_discussion_panel()
# Check if begin_tab_bar was called
# This SHOULD fail if it's not implemented yet
mock_imgui.begin_tab_bar.assert_called_with("##discussion_tabs")
# Check if begin_tab_item was called for each discussion
names = sorted(["main", "take_1", "take_2"])
for name in names:
mock_imgui.begin_tab_item.assert_any_call(name)
def test_switching_discussion_via_tabs(app_instance):
"""Verify that clicking a tab switches the discussion."""
with patch('src.gui_2.imgui') as mock_imgui, \
patch('src.app_controller.AppController._switch_discussion') as mock_switch:
# Setup defaults
mock_imgui.collapsing_header.return_value = True
mock_imgui.begin_combo.return_value = False
mock_imgui.input_text.return_value = (False, "")
mock_imgui.input_int.return_value = (False, 0)
mock_imgui.button.return_value = False
mock_imgui.checkbox.return_value = (False, False)
mock_imgui.begin_child.return_value = True
mock_imgui.selectable.return_value = (False, False)
mock_imgui.begin_tab_bar.return_value = True
# Simulate 'take_1' being active/selected
def side_effect(name, flags=None):
if name == "take_1":
return (True, True)
return (False, True)
mock_imgui.begin_tab_item.side_effect = side_effect
app_instance._render_discussion_panel()
# If implemented with tabs, this should be called
mock_switch.assert_called_with("take_1")
+33
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@@ -0,0 +1,33 @@
import pytest
from unittest.mock import patch, MagicMock
def test_dynamic_background_rendering():
# Mock OpenGL before importing
with patch("src.shader_manager.gl") as mock_gl:
from src.shader_manager import ShaderManager
# Setup mock return values
mock_gl.glCreateProgram.return_value = 1
mock_gl.glCreateShader.return_value = 2
mock_gl.glGetShaderiv.return_value = 1 # GL_TRUE
mock_gl.glGetProgramiv.return_value = 1 # GL_TRUE
mock_gl.glGetUniformLocation.return_value = 10
manager = ShaderManager()
manager.setup_background_shader()
# Verify background program was created
assert manager.bg_program == 1
assert mock_gl.glCreateProgram.called
# Render background
manager.render_background(800, 600, 1.0)
# Verify OpenGL calls
mock_gl.glUseProgram.assert_any_call(1)
mock_gl.glDrawArrays.assert_called_with(mock_gl.GL_TRIANGLE_STRIP, 0, 4)
mock_gl.glUseProgram.assert_any_call(0)
# Verify uniforms were updated
mock_gl.glUniform1f.assert_called()
mock_gl.glUniform2f.assert_called()
+55
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@@ -0,0 +1,55 @@
import asyncio
import json
import sys
import pytest
from src import mcp_client
from src import models
@pytest.mark.asyncio
async def test_external_mcp_real_process():
manager = mcp_client.ExternalMCPManager()
# Use our mock script
mock_script = "scripts/mock_mcp_server.py"
config = models.MCPServerConfig(
name="real-mock",
command="python",
args=[mock_script]
)
await manager.add_server(config)
try:
tools = manager.get_all_tools()
assert "echo" in tools
assert tools["echo"]["server"] == "real-mock"
result = await manager.async_dispatch("echo", {"hello": "world"})
assert "ECHO: {'hello': 'world'}" in result
finally:
await manager.stop_all()
@pytest.mark.asyncio
async def test_get_tool_schemas_includes_external():
manager = mcp_client.get_external_mcp_manager()
# Reset manager
await manager.stop_all()
mock_script = "scripts/mock_mcp_server.py"
config = models.MCPServerConfig(
name="test-server",
command="python",
args=[mock_script]
)
await manager.add_server(config)
try:
schemas = mcp_client.get_tool_schemas()
echo_schema = next((s for s in schemas if s["name"] == "echo"), None)
assert echo_schema is not None
assert echo_schema["description"] == "Echo input"
assert echo_schema["parameters"] == {"type": "object"}
finally:
await manager.stop_all()
+67
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@@ -0,0 +1,67 @@
import asyncio
import json
import os
from pathlib import Path
import pytest
from src.app_controller import AppController
from src import mcp_client
from src import ai_client
from src import models
@pytest.mark.asyncio
async def test_external_mcp_e2e_refresh_and_call(tmp_path, monkeypatch):
# 1. Setup mock config and mock server script
config_file = tmp_path / "config.toml"
monkeypatch.setattr(models, "CONFIG_PATH", str(config_file))
mock_script = Path("scripts/mock_mcp_server.py").absolute()
mcp_config_file = tmp_path / "mcp_config.json"
mcp_data = {
"mcpServers": {
"e2e-server": {
"command": "python",
"args": [str(mock_script)],
"auto_start": True
}
}
}
mcp_config_file.write_text(json.dumps(mcp_data))
config_content = f"""
[ai]
mcp_config_path = "{mcp_config_file.as_posix()}"
[projects]
paths = []
active = ""
"""
config_file.write_text(config_content)
# 2. Initialize AppController
ctrl = AppController()
monkeypatch.setattr(ctrl, "_load_active_project", lambda: None)
ctrl.project = {}
# We need to mock start_services or just manually call what we need
ctrl.init_state()
# Trigger refresh event manually (since we don't have the background thread running in unit test)
await ctrl.refresh_external_mcps()
# 3. Verify tools are discovered
manager = mcp_client.get_external_mcp_manager()
tools = manager.get_all_tools()
assert "echo" in tools
# 4. Mock pre_tool_callback to auto-approve
mock_pre_tool = lambda desc, base, qa: "Approved"
# 5. Call execute_single_tool_call_async (via ai_client)
name, cid, out, orig = await ai_client._execute_single_tool_call_async(
"echo", {"message": "hello"}, "id1", ".", mock_pre_tool, None, 0
)
assert "ECHO: {'message': 'hello'}" in out
# Cleanup
await manager.stop_all()
+62
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@@ -0,0 +1,62 @@
import asyncio
import json
import pytest
from unittest.mock import MagicMock, patch, AsyncMock
from src import ai_client
from src import mcp_client
from src import models
@pytest.mark.asyncio
async def test_external_mcp_hitl_approval():
# 1. Setup mock manager and server
mock_manager = mcp_client.ExternalMCPManager()
mock_server = AsyncMock()
mock_server.name = "test-server"
mock_server.tools = {"ext_tool": {"name": "ext_tool", "description": "desc"}}
mock_server.call_tool.return_value = "Success"
mock_manager.servers["test-server"] = mock_server
with patch("src.mcp_client.get_external_mcp_manager", return_value=mock_manager):
# 2. Setup ai_client callbacks
mock_pre_tool = MagicMock(return_value="Approved")
ai_client.confirm_and_run_callback = mock_pre_tool
# 3. Call _execute_single_tool_call_async
name = "ext_tool"
args = {"arg1": "val1"}
call_id = "call_123"
base_dir = "."
# We need to pass the callback to the function
name, cid, out, orig_name = await ai_client._execute_single_tool_call_async(
name, args, call_id, base_dir, mock_pre_tool, None, 0
)
# 4. Assertions
assert out == "Success"
mock_pre_tool.assert_called_once()
# Check description contains EXTERNAL MCP
call_args = mock_pre_tool.call_args[0]
assert "EXTERNAL MCP TOOL: ext_tool" in call_args[0]
assert "arg1: 'val1'" in call_args[0]
@pytest.mark.asyncio
async def test_external_mcp_hitl_rejection():
mock_manager = mcp_client.ExternalMCPManager()
mock_server = AsyncMock()
mock_server.name = "test-server"
mock_server.tools = {"ext_tool": {"name": "ext_tool"}}
mock_manager.servers["test-server"] = mock_server
with patch("src.mcp_client.get_external_mcp_manager", return_value=mock_manager):
mock_pre_tool = MagicMock(return_value=None) # Rejection
name = "ext_tool"
args = {"arg1": "val1"}
name, cid, out, orig_name = await ai_client._execute_single_tool_call_async(
name, args, "id", ".", mock_pre_tool, None, 0
)
assert out == "USER REJECTED: tool execution cancelled"
mock_server.call_tool.assert_not_called()
+7 -2
View File
@@ -7,6 +7,7 @@ def test_file_item_fields():
assert item.path == "src/models.py"
assert item.auto_aggregate is True
assert item.force_full is False
assert item.injected_at is None
def test_file_item_to_dict():
"""Test that FileItem can be serialized to a dict."""
@@ -14,7 +15,8 @@ def test_file_item_to_dict():
expected = {
"path": "test.py",
"auto_aggregate": False,
"force_full": True
"force_full": True,
"injected_at": None
}
assert item.to_dict() == expected
@@ -23,12 +25,14 @@ def test_file_item_from_dict():
data = {
"path": "test.py",
"auto_aggregate": False,
"force_full": True
"force_full": True,
"injected_at": 123.456
}
item = FileItem.from_dict(data)
assert item.path == "test.py"
assert item.auto_aggregate is False
assert item.force_full is True
assert item.injected_at == 123.456
def test_file_item_from_dict_defaults():
"""Test that FileItem.from_dict handles missing fields."""
@@ -37,3 +41,4 @@ def test_file_item_from_dict_defaults():
assert item.path == "test.py"
assert item.auto_aggregate is True
assert item.force_full is False
assert item.injected_at is None
+1 -1
View File
@@ -6,7 +6,7 @@ def test_gui2_hubs_exist_in_show_windows(app_instance: App) -> None:
This ensures they will be available in the 'Windows' menu.
"""
expected_hubs = [
"Context Hub",
"Project Settings",
"AI Settings",
"Discussion Hub",
"Operations Hub",
+35
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@@ -0,0 +1,35 @@
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
+15
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@@ -0,0 +1,15 @@
import pytest
from unittest.mock import patch
from src.gui_2 import App
@patch("src.gui_2.immapp.run")
@patch("src.gui_2.session_logger.close_session")
@patch("src.gui_2.imgui.save_ini_settings_to_disk")
@patch("sys.argv", ["gui_2.py"])
def test_app_window_is_borderless(mock_save_ini, mock_close, mock_run):
app = App()
app.run()
assert app.runner_params is not None
# This assertion will fail initially because we haven't implemented it yet
assert getattr(app.runner_params.app_window_params, 'borderless', False) is True, "Window should be borderless"
+53
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@@ -0,0 +1,53 @@
import pytest
from unittest.mock import patch, MagicMock, PropertyMock
from src import gui_2
@pytest.fixture
def mock_gui():
gui = gui_2.App()
gui.project = {
'discussion': {
'active': 'main',
'discussions': {
'main': {'history': []},
'main_take_1': {'history': []},
'other_topic': {'history': []}
}
}
}
gui.active_discussion = 'main'
gui.perf_profiling_enabled = False
gui.is_viewing_prior_session = False
gui._get_discussion_names = lambda: ['main', 'main_take_1', 'other_topic']
return gui
def test_discussion_tabs_rendered(mock_gui):
with patch('src.gui_2.imgui') as mock_imgui, \
patch('src.app_controller.AppController.active_project_root', new_callable=PropertyMock, return_value='.'):
# We expect a combo box for base discussion
mock_imgui.begin_combo.return_value = True
mock_imgui.selectable.return_value = (False, False)
# We expect a tab bar for takes
mock_imgui.begin_tab_bar.return_value = True
mock_imgui.begin_tab_item.return_value = (True, True)
mock_imgui.input_text.return_value = (False, "")
mock_imgui.input_text_multiline.return_value = (False, "")
mock_imgui.checkbox.return_value = (False, False)
mock_imgui.input_int.return_value = (False, 0)
mock_clipper = MagicMock()
mock_clipper.step.return_value = False
mock_imgui.ListClipper.return_value = mock_clipper
mock_gui._render_discussion_panel()
mock_imgui.begin_combo.assert_called_once_with("##disc_sel", 'main')
mock_imgui.begin_tab_bar.assert_called_once_with('discussion_takes_tabs')
calls = [c[0][0] for c in mock_imgui.begin_tab_item.call_args_list]
assert 'Original###main' in calls
assert 'Take 1###main_take_1' in calls
assert 'Synthesis###Synthesis' in calls
+1
View File
@@ -15,6 +15,7 @@ def mock_gui() -> App:
patch('src.project_manager.migrate_from_legacy_config', return_value={}),
patch('src.project_manager.save_project'),
patch('src.session_logger.open_session'),
patch('src.session_logger.reset_session'),
patch('src.app_controller.AppController._init_ai_and_hooks'),
patch('src.app_controller.AppController._fetch_models')
):

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