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docs(conductor): Synchronize docs for track 'Advanced Log Management and Session Restoration'

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Edward R. Gonzalez
2026-03-08 21:13:42 -04:00
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conductor/product.md
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@@ -46,6 +46,10 @@ For deep implementation details when planning or implementing tracks, consult `d
- **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.
- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
- **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.
- **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 Diagnostic Logging:** Consolidates transient system warnings and performance alerts into a separate **System Diagnostics** tab within the Log Management panel, ensuring the persistent Discussion History remains focused on high-signal content while providing deep visibility into runtime health.
- **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.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.