docs(conductor): Synchronize docs for track 'Consolidate Temp/Test Cruft & Log Taxonomy'

This commit is contained in:
2026-03-01 09:07:39 -05:00
parent bcbccf3cc4
commit cfcfd33453
2 changed files with 4 additions and 2 deletions

View File

@@ -34,7 +34,8 @@ To serve as an expert-level utility for personal developer use on small projects
- **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.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
- **Log Management & Pruning:** Automated session-based log organization with 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 (errors, high complexity).
- **Structured Log Taxonomy:** Automated session-based log organization into `logs/sessions/`, `logs/agents/`, and `logs/errors/`. 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 redirecting all temporary test data, configurations, and AI-generated artifacts to `tests/artifacts/`.
- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.
- **Automated UX Verification:** A robust IPC mechanism via API hooks and a modular simulation suite allows for human-like simulation walkthroughs and automated regression testing of the full GUI lifecycle across multiple specialized scenarios.
- **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).