When switching projects, the previous project's project-specific persona and
presets remained selected in the AI Settings panel because:
1. self.personas was not reloaded after switching project root
2. self.ui_active_persona / tool_preset / bias_profile / project_preset_name
were not validated against the newly-loaded personas/presets
Fix:
- Reload self.personas from self.persona_manager in _refresh_from_project
- Validate each active selection and reset to None/empty if it does not
exist in the newly-loaded manager dictionaries
- Push the active tool preset and bias profile to ai_client after the swap
- Initialize self.ui_active_bias_profile in class attribute block (was only
set later in __init__, causing AttributeError on direct attribute access)
Tests: 4 new tests in tests/test_project_switch_persona_preset.py verify
the reset behavior for persona, preset, tool preset, and global preset
preservation.
Previously, context (files, screenshots) was always sent with every message,
even on subsequent messages where the AI provider already had the context
from the first message via its history mechanism.
This change:
- Detects if the discussion has any AI responses already
- Only sends md_content (stable_md) on the first message
- Subsequent messages pass empty string for md_content to avoid redundant sending
- Context now properly goes in md_content parameter, not crammed into user_message
The fix is in _api_generate() in src/app_controller.py
- AppController.__init__: public vendor_quota: Dict[str,Any], last_error: Optional[Dict[str,str]], token_tracker: Dict[str,Any]
- set_vendor_quota(provider, remaining_pct, reset_at): public API for ai_client quota paths
- clear_last_error(): reset hook
- _refresh_api_metrics: read vendor_quota and error from payload, populate state
ai_client per-provider quota wire-up deferred to a future track (per-provider
signals differ; this commit establishes the state shape and read path).
- Update test_gui_symbol_navigation.py and test_gui_text_viewer.py to assert against show_windows['Text Viewer'] instead of the deprecated show_text_viewer attribute.
- Increase synchronization wait time in test_visual_sim_gui_ux.py to ensure the GUI loop accurately reflects the mocked MMA status.
- Display token metrics (input/output/cache) per response in Discussion Hub.
- Add total Discussion Token usage in the panel header.
- Implement 'Compress' feature to intelligently summarize and replace exhausted discussion histories using an AI subagent.
- Improved AppController.ai_status to prevent overwriting 'sending...' with 'models loaded'.
- Enhanced est_rag_phase4_stress.py with robust polling and increased timeout.
- Synchronized App and AppController history objects to ensure consistent view.
- Added import sys to src/api_hook_client.py.
- Fixed App.__getattr__ to use direct attribute access on controller to avoid recursion.
- Simplified _get_app_attr and _has_app_attr in src/api_hooks.py.
- Centralized RAG and symbol enrichment in AppController._handle_request_event.
- Updated ests/test_symbol_parsing.py to match the new enrichment flow.
- Removed redundant task appending from i_status and mma_status setters.
- Improved _sync_rag_engine to only set 'ready' status after indexing is confirmed.
- Updated est_status_encapsulation.py to reflect setter changes.
- Corrected GeminiEmbeddingProvider model name to gemini-embedding-001.
- Prevented _fetch_models from overwriting active i_status (sending/done/error).
- Updated est_rag_engine.py to correctly patch the lazy-loaded chromadb getter.
- Adjusted RAG simulation tests to account for the new initializing... status and automatic initial indexing.
- Fixed typo in est_z_negative_flows.py.
- Fixed circular import in chromadb by using lazy imports in
ag_engine.py.
- Moved RAG engine initialization to background threads in AppController to avoid blocking UI.
- Added _rag_engine_lock to prevent race conditions during engine re-initialization.
- Updated Gemini embedding model to gemini-embedding-001 (available) from ext-embedding-004 (not found).
- Fixed _rebuild_rag_index to use fresh
ag_engine instance from self in every iteration.
- Optimized est_rag_phase4_final_verify.py and est_rag_phase4_stress.py to wait for RAG sync before continuing.
- Added dummy embedding fallback in LocalEmbeddingProvider if sentence-transformers fails to load.
RAG engine initialization (including chromadb import and index loading)
now happens in a background thread, allowing the GUI to show immediately.
The app was blocking for 5+ seconds during init_state() because RAG was
enabled in config. Now RAG loads asynchronously.
Before this change, app_controller imported rag_engine at module level which
pulled in chromadb (~0.45s). Now rag_engine is only imported when RAG is
actually enabled and needed. This improves startup time significantly.
The class was only accessible inside function scopes, causing
AttributeError when app_controller tried to instantiate it
at module level via ai_client.GeminiCliAdapter().
- Wrap discussions.items() with list() in takes_panel to prevent
RuntimeError when dictionary changes during iteration
- This was causing crashes when switching discussions
_load_active_project() was calling _configure_mcp_for_project() BEFORE
_refresh_from_project() which populates self.files. Now it calls
_refresh_from_project() first so mcp_client gets configured with the
actual file list that includes gencpp paths.
- Add _configure_mcp_for_project() helper method
- Call it at end of _load_active_project() to configure mcp_client on startup
- _switch_project() calls it after _refresh_from_project()
- This ensures mcp_client._base_dirs is populated before GUI buttons try to read files
Previously mcp_client.configure() was only called during ai_client.send()
which meant GUI buttons (Slices/Inspect) couldn't access files when
project was switched to an external project like gencpp. Now _switch_project
reconfigures mcp_client with the new project's root and file_items.
The main_context field in Project Settings was stored but never used.
Nothing reads it to inject into AI context. System Prompt in AI Settings
already serves this purpose.
Removed:
- app_controller.py: ui_project_main_context state variable and all refs
- gui_2.py: Main Context File UI section from Projects panel
- project_manager.py: main_context from default_project()
- project.toml, manual_slop.toml, gencpp_manual_slop_template.toml: main_context entries
ed