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@@ -23,6 +23,7 @@ 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. - **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.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode. - **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).
- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis. - **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. - **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). - **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).
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@@ -31,6 +31,8 @@
- **tree-sitter & tree-sitter-python:** For deterministic AST parsing and automated generation of curated "Skeleton Views" (signatures and docstrings) to minimize context bloat for sub-agents. - **tree-sitter & tree-sitter-python:** For deterministic AST parsing and automated generation of curated "Skeleton Views" (signatures and docstrings) to minimize context bloat for sub-agents.
- **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration. - **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.
- **tomli-w:** For writing TOML configuration files. - **tomli-w:** For writing TOML configuration files.
- **tomllib:** For native TOML parsing (Python 3.11+).
- **LogRegistry & LogPruner:** Custom components for session metadata persistence and automated filesystem cleanup.
- **psutil:** For system and process monitoring (CPU/Memory telemetry). - **psutil:** For system and process monitoring (CPU/Memory telemetry).
- **uv:** An extremely fast Python package and project manager. - **uv:** An extremely fast Python package and project manager.
- **pytest:** For unit and integration testing, leveraging custom fixtures for live GUI verification. - **pytest:** For unit and integration testing, leveraging custom fixtures for live GUI verification.
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@@ -40,7 +40,7 @@ This file tracks all major tracks for the project. Each track has its own detail
--- ---
- [~] **Track: Review logging used throughout the project. THe log directory has several categories of logs and they are getting quite large in number. We need sub-directoreis and we need a way to prune logs that aren't valuable to keep.** - [x] **Track: Review logging used throughout the project. THe log directory has several categories of logs and they are getting quite large in number. We need sub-directoreis and we need a way to prune logs that aren't valuable to keep.**
*Link: [./tracks/logging_refactor_20260226/](./tracks/logging_refactor_20260226/)* *Link: [./tracks/logging_refactor_20260226/](./tracks/logging_refactor_20260226/)*
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