- Removed unused `id` and `app_state` fields from `ChatPanel`; updated constructor to accept but ignore the state, reducing memory footprint.
- Switched database access in `ChatPanel` from a raw `Mutex` lock to a connection pool (`app_state.conn.get()`), improving concurrency and error handling.
- Reordered and cleaned up imports in `status_panel.rs` and formatted struct fields for readability.
- Updated VS Code launch configuration to pass `--noui` argument, enabling headless mode for debugging.
- Bumped several crate versions in `Cargo.lock` (e.g., `bitflags` to 2.10.0, `syn` to 2.0.108, `cookie` to 0.16.2) and added the new `ashpd` dependency, aligning the project with latest library releases.
Refactored prompt compaction to use a special compacted message type (9) instead of clearing old messages. Added support for forced compaction when threshold is negative and updated history retrieval to skip messages before the last compacted marker. This improves efficiency and preserves summary continuity.
Added `once_cell` and `scopeguard` dependencies to implement thread-safe compaction lock mechanism. Modified `compact_prompt_for_bot` to:
- Prevent concurrent compaction for the same bot using a global lock
- Add proper tracing and error handling
- Improve summarization with content filtering
- Clean up locks automatically using scopeguard
- Remove redundant threshold check and compact entire history
The changes ensure thread safety during prompt compaction and provide better observability through tracing.
- Added initial 30s delay to compact prompt scheduler
- Implemented async LLM summarization for conversation history
- Reduced lock contention by minimizing critical sections
- Added fallback to original text if summarization fails
- Updated README with guidance for failed requirements
- Added new `summarize` method to LLMProvider trait
- Improved session manager query with proper DSL usage
The changes optimize the prompt compaction process by:
1. Reducing lock contention through better resource management
2. Adding LLM-based summarization for better conversation compression
3. Making the system more resilient with proper error handling
4. Improving documentation for development practices
Added new compact_prompt module and its scheduler initialization in AutomationService.
Refactored code for better readability:
- Improved import organization
- Fixed indentation in schedule checking logic
- Enhanced error handling with more descriptive messages
- Formatted long lines for better readability
- Added comments for clarity
The changes maintain existing functionality while making the code more maintainable.
