- Improved the reading of the discovery index by adding a fallback mechanism to scan directories for discovery folders if the index.json is invalid or missing.
- Added sorting of discoveries by creation time in descending order.
- Enhanced the `appendToIssuesJsonl` function to include deduplication logic for issues based on ID and source finding ID.
- Updated the discovery route handler to reflect the number of issues added and skipped during export.
- Introduced UI elements for selecting and deselecting findings in the dashboard.
- Added CSS styles for exported findings and action buttons.
- Implemented search functionality for filtering findings based on title, file, and description.
- Added internationalization support for new UI elements.
- Created scripts for automated API extraction from various project types, including FastAPI and TypeScript.
- Documented the API extraction process and library bundling instructions.
- Implemented main render function for the issue discovery view.
- Added data loading functions to fetch discoveries, details, findings, and progress.
- Created rendering functions for discovery list and detail sections.
- Introduced filtering and searching capabilities for findings.
- Implemented actions for exporting and dismissing findings.
- Added polling mechanism to track discovery progress.
- Included utility functions for HTML escaping and cleanup.
- Added support for solution-level queues in the issue management system.
- Updated interfaces to include solution-specific properties such as `approach`, `task_count`, and `files_touched`.
- Modified queue handling to differentiate between task-level and solution-level items.
- Adjusted rendering logic in the dashboard to display solutions and their associated tasks correctly.
- Enhanced queue statistics and conflict resolution to accommodate the new solution structure.
- Updated actions (next, done, retry) to handle both tasks and solutions seamlessly.
- Updated workflow initialization to create `.workflow/project-tech.json` and `.workflow/project-guidelines.json` for comprehensive project understanding.
- Added mandatory context reading steps in various commands to ensure compliance with user-defined constraints and technology stack.
- Implemented a new command `/workflow:session:solidify` to capture session learnings and solidify them into project guidelines.
- Introduced a detail action in issue management to retrieve task details without altering status.
- Enhanced documentation across multiple workflow commands to reflect changes in project structure and guidelines.
- Updated lifecycle requirements in issue creation to include new fields for testing, regression, acceptance, and commit strategies.
- Enhanced the planning command to generate structured output and handle multi-solution scenarios.
- Improved queue formation logic to ensure valid DAG and conflict resolution.
- Introduced a new interactive issue management skill for CRUD operations, allowing users to manage issues through a menu-driven interface.
- Updated documentation across commands to reflect changes in task structure and output requirements.
- Changed queue structure from 'queue' to 'tasks' in various files for clarity.
- Updated CLI commands to reflect new task ID usage instead of queue ID.
- Enhanced queue management with new delete functionality for historical queues.
- Improved metadata handling and task execution tracking.
- Updated dashboard and issue manager views to accommodate new task structure.
- Bumped version to 6.3.8 in package.json and package-lock.json.
- Added internationalization support for new issue and solution-related strings in i18n.js.
- Implemented a solution detail modal in issue-manager.js to display solution information and bind/unbind actions.
- Enhanced the skill loading function to combine project and user skills in hook-manager.js.
- Improved queue rendering logic to handle empty states and display queue statistics in issue-manager.js.
- Introduced command modals for queue operations, allowing users to generate execution queues via CLI commands.
- Added functionality to auto-generate issue IDs and regenerate them in the create issue modal.
- Implemented detailed rendering of solution tasks, including acceptance criteria and modification points.
- Added `/issue:manage` command for interactive issue management via CLI.
- Implemented features for listing, viewing, editing, deleting, and bulk operations on issues.
- Integrated GitHub issue fetching and text description parsing for issue creation.
- Enhanced user experience with menu-driven interface and structured output.
- Created helper functions for parsing user input and managing issue data.
- Added error handling and related command references for better usability.
feat(issue-creation): Introduce structured issue creation from GitHub URL or text description
- Added `/issue:new` command to create structured issues from GitHub issues or text descriptions.
- Implemented parsing logic for extracting key elements from issue descriptions.
- Integrated user confirmation for issue creation with options to edit title and priority.
- Ensured proper writing of issues to `.workflow/issues/issues.jsonl` with metadata.
- Included examples and error handling for various input scenarios.
- Implemented a new CLI Stream Viewer to display real-time output from CLI executions.
- Added state management for CLI executions, including handling of start, output, completion, and errors.
- Introduced UI rendering for stream tabs and content, with auto-scroll functionality.
- Integrated keyboard shortcuts for toggling the viewer and handling user interactions.
feat: create Issue Manager view for managing issues and execution queue
- Developed the Issue Manager view to manage issues, solutions, and execution queue.
- Implemented data loading functions for fetching issues and queue data from the API.
- Added filtering and rendering logic for issues and queue items, including drag-and-drop functionality.
- Created detail panel for viewing and editing issue details, including tasks and solutions.
- Added `/issue:plan` command to generate a structured task plan from GitHub issues or descriptions, including delivery and pause criteria, and a dependency graph.
- Introduced JSONL schema for task entries to enforce structure and validation.
- Developed comprehensive issue command with functionalities for initializing, listing, adding, updating, and exporting tasks.
- Implemented error handling and user feedback for various operations within the issue management workflow.
- Enhanced task management with priority levels, phase results, and executor preferences.
- Removed agent references in context-gather and test-context-gather commands for clarity.
- Updated test-task-generate to streamline agent configuration references.
- Enhanced action-planning-agent documentation by removing redundant examples.
- Adjusted execute command to eliminate direct agent path references.
- Improved context-gather documentation to clarify agent autonomy and project.json integration.
- Revised test-context-gather to focus on agent delegation and coverage analysis.
- Cleaned up test-task-generate to focus on task generation rules without direct agent references.
- Implemented automatic agent assignment based on exploration file names in deep analysis phase.
- Expanded project exploration phase to include intelligent angle selection based on software type.
- Enhanced output schemas and success criteria for exploration tasks to ensure clarity and completeness.
- Added integration tests for adaptive RRF weights in hybrid search.
- Enhanced query intent detection with new classifications: keyword, semantic, and mixed.
- Introduced symbol boosting in search results based on explicit symbol matches.
- Implemented embedding-based reranking with configurable options.
- Added global symbol index for efficient symbol lookups across projects.
- Improved file deletion handling on Windows to avoid permission errors.
- Updated chunk configuration to increase overlap for better context.
- Modified package.json test script to target specific test files.
- Created comprehensive writing style guidelines for documentation.
- Added TypeScript tests for query intent detection and adaptive weights.
- Established performance benchmarks for global symbol indexing.
- Phase 3: Added Mermaid diagram generation for system architecture, function modules, algorithms, class diagrams, sequence diagrams, and error flows.
- Phase 4: Assembled analysis and diagrams into a structured CPCC-compliant document with section templates and figure numbering.
- Phase 5: Developed compliance review process with iterative refinement based on analysis findings and user feedback.
- Added CPCC compliance requirements and quality standards for project analysis reports.
- Established a comprehensive project analysis skill with detailed execution flow and report types.
- Enhanced error handling and recovery mechanisms throughout the analysis phases.
- Introduced a `stream` parameter to control output streaming vs. caching.
- Enhanced status determination logic to prioritize valid output over exit codes.
- Updated output structure to include full stdout and stderr when not streaming.
feat(cli-history-store): extend conversation turn schema and migration
- Added `cached`, `stdout_full`, and `stderr_full` fields to the conversation turn schema.
- Implemented database migration to add new columns if they do not exist.
- Updated upsert logic to handle new fields.
feat(codex-lens): implement global symbol index for fast lookups
- Created `GlobalSymbolIndex` class to manage project-wide symbol indexing.
- Added methods for adding, updating, and deleting symbols in the global index.
- Integrated global index updates into directory indexing processes.
feat(codex-lens): optimize search functionality with global index
- Enhanced `ChainSearchEngine` to utilize the global symbol index for faster searches.
- Added configuration option to enable/disable global symbol indexing.
- Updated tests to validate global index functionality and performance.
- Added search limit, content length, and extra files input fields in the CodexLens manager UI.
- Updated API request parameters to include new fields: max_content_length and extra_files_count.
- Refactored smart-search.ts to support new parameters with default values.
- Implemented result splitting logic to return both full content and additional file paths.
- Updated CLI commands to remove worker limits and allow dynamic scaling based on endpoint count.
- Introduced EmbeddingPoolConfig for improved embedding management and auto-discovery of providers.
- Enhanced search engines to utilize new parameters for fuzzy and exact searches.
- Added support for embedding single texts in the LiteLLM embedder.
- Added JSON-based settings management in Config class for embedding and LLM configurations.
- Introduced methods to save and load settings from a JSON file.
- Updated BaseEmbedder and its subclasses to include max_tokens property for better token management.
- Enhanced chunking strategy to support recursive splitting of large symbols with improved overlap handling.
- Implemented comprehensive tests for recursive splitting and chunking behavior.
- Added CLI tools configuration management for better integration with external tools.
- Introduced a new command for compacting session memory into structured text for recovery.
- Updated embedding_manager.py to include backend parameter in model configuration.
- Modified model_manager.py to utilize cache_name for ONNX models.
- Refactored hybrid_search.py to improve embedder initialization based on backend type.
- Added backend column to vector_store.py for better model configuration management.
- Implemented migration for existing database to include backend information.
- Enhanced API settings implementation with comprehensive provider and endpoint management.
- Introduced LiteLLM integration guide detailing configuration and usage.
- Added examples for LiteLLM usage in TypeScript.
- Introduced a new CodexLens Manager item in the dashboard for easier access.
- Implemented GPU management commands in the CLI, including listing available GPUs, selecting a specific GPU, and resetting to automatic detection.
- Enhanced the embedding generation process to utilize GPU resources more effectively, including batch size optimization for better performance.
- Updated the embedder to support device ID options for GPU selection, ensuring compatibility with DirectML and CUDA.
- Added detailed logging and error handling for GPU detection and selection processes.
- Updated package version to 6.2.9 and added comprehensive documentation for Codex Agent Execution Protocol.
