docs(conductor): Synchronize docs for track 'Selectable GUI Text & UX Improvements'
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@@ -45,6 +45,8 @@ For deep implementation details when planning or implementing tracks, consult `d
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- **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.
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- **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.
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- **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.
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- **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.
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- **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.
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- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
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- **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.
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- **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.
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- **Event-Driven Metrics:** Uses a custom `EventEmitter` to decouple API lifecycle events from UI rendering, improving performance and responsiveness.
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- **Synchronous Event Queue:** Employs a `SyncEventQueue` based on `queue.Queue` to manage communication between the UI and backend agents, maintaining responsiveness through a threaded execution model.
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- **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.
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- **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).
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- **Interface-Driven Development (IDD):** Enforces a "Stub-and-Resolve" pattern where cross-module dependencies are resolved by generating signatures/contracts before implementation.
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