- Created error context snapshots for Firefox, WebKit, and Chromium to capture UI state during API error monitoring.
- Implemented e2e tests for API error detection, including console errors, failed API requests, and proxy errors.
- Added functionality to ignore specific API patterns in monitoring assertions.
- Ensured tests validate the monitoring system's ability to detect and report errors effectively.
Implement two major enhancements to test generation workflow:
1. Gemini Test Enhancement (Phase 1.5)
- Add Gemini CLI analysis for comprehensive test suggestions
- Generate enriched test specifications for L1-L3 test layers
- Focus on API contracts, integration patterns, error scenarios
- Create gemini-enriched-suggestions.md as artifact
2. Planning Notes Mechanism (test-planning-notes.md)
- Similar to plan.md's planning-notes pattern
- Record Test Intent (Phase 1)
- Embed complete Gemini enrichment (Phase 1.5)
- Track consolidated test requirements
- Support N+1 context with decisions and deferred items
Implementation Details:
- Created Gemini prompt template: test-suggestions-enhancement.txt
- Enhanced test-task-generate.md with Phase 1, 1.5, 2 logic
- Gemini content embedded in planning-notes for single source of truth
- test-action-planning-agent reads both TEST_ANALYSIS_RESULTS.md and test-planning-notes.md
- Backward compatible: Phase 1.5 is optional enhancement
Benefits:
- Comprehensive test coverage (API, integration, error scenarios)
- Full traceability of test planning process
- Consolidated context in one file for easy review
- Preserved Gemini output as independent artifact
- Add dimensions I (Constraints Compliance) and J (N+1 Context Validation)
- Verify tasks respect Consolidated Constraints from planning-notes.md
- Detect deferred items incorrectly included in current plan
- Check decision contradictions against N+1 Decisions table
- Added new API endpoints to enable and disable skills.
- Introduced logic to manage disabled skills, including loading and saving configurations.
- Enhanced skills routes to return lists of disabled skills.
- Updated frontend to display disabled skills and allow toggling their status.
- Added internationalization support for new skill status messages.
- Created JSON schemas for plan verification agent and findings.
- Defined new types for skill management in TypeScript.
- Updated all references from `/workflow:action-plan-verify` to `/workflow:plan-verify` across various documentation and command files.
- Introduced a new command file for `/workflow:plan-verify` that performs read-only verification analysis on planning artifacts.
- Adjusted command relationships and help documentation to reflect the new command structure.
- Ensured consistency in command usage throughout the workflow guide and getting started documentation.
- Updated package name from `codexlens` to `codex-lens` in all relevant files to ensure consistency with `pyproject.toml`.
- Enhanced `findLocalPackagePath()` to always search for local paths, even when running from `node_modules`.
- Removed fallback logic for PyPI installation in several functions, providing clearer error messages for local installation failures.
- Added detailed documentation on installation steps and error handling for local development packages.
- Introduced a new summary document outlining the issues and fixes related to CodexLens installation.
- Replace $PROTO/$TMPL environment variable injection with systemRules/roles direct concatenation
- Append rules to END of prompt instead of prepending
- Change prompt field name from RULES to CONSTRAINTS in all prompts
- Default to universal-rigorous-style template when --rule not specified
- Update all .claude documentation, agents, commands, and skills
- Add streaming_content type support for Gemini delta messages
Breaking: Prompts now use CONSTRAINTS field instead of RULES
- Introduced a new navigation item for "Multi-CLI Plan" in the dashboard template.
- Created a new JSON schema for "Multi-CLI Discussion Artifact" to facilitate structured discussions and decision-making processes.
Add new /memory:swagger-docs command to generate complete Swagger/OpenAPI
documentation following RESTful standards with:
- Global security configuration (Bearer Token auth)
- Complete endpoint documentation with parameters and responses
- Unified error code specification (AUTH/PARAM/BIZ/SYS)
- Multi-language support (--lang zh|en, default: zh)
- Validation test reports
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Queue produces execution plan without executor assignment.
Executor is determined at runtime by /issue:execute command.
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update solution-schema.json pattern to support new format
- Add Solution ID Format specification to plan.md
- Fix JSON parsing with extractJsonFromMarkdown + try-catch
- Update all examples in agent and prompt files:
- issue-plan-agent.md
- issue-queue-agent.md
- issue-execute.md
- issue-queue.md
- queue.md
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- 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.
- 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.
- 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.
- Implemented core memory clustering visualization in core-memory-clusters.js
- Added functions for loading, rendering, and managing clusters and their members
- Created example hooks configuration in hooks-config-example.json for session management
- Developed test script for hooks integration in test-hooks.js
- Included error handling and notifications for user interactions
- Updated command patterns across documentation and templates to reflect the new CLI syntax.
- Enhanced CLI tool implementation to support reading prompts from files and multi-line inputs.
- Modified core components and views to ensure compatibility with the new command structure.
- Adjusted help messages and internationalization strings to align with the updated command format.
- Improved error handling and user notifications in the CLI execution flow.
- Added a new Storage Manager component to handle storage statistics, project cleanup, and configuration for CCW centralized storage.
- Introduced functions to calculate directory sizes, get project storage stats, and clean specific or all storage.
- Enhanced SQLiteStore with a public API for executing queries securely.
- Updated tests to utilize the new execute_query method and validate storage management functionalities.
- Improved performance by implementing connection pooling with idle timeout management in SQLiteStore.
- Added new fields (token_count, symbol_type) to the symbols table and adjusted related insertions.
- Enhanced error handling and logging for storage operations.
- Introduced `--id <id>` option in CLI for custom execution IDs.
- Enhanced CLI command handling to support multi-turn conversations.
- Updated execution and conversation detail retrieval to accommodate new structure.
- Implemented merging of multiple conversations with tracking of source IDs.
- Improved history management to save and load conversation records.
- Added styles for displaying multi-turn conversation details in the dashboard.
- Refactored existing execution detail functions for backward compatibility.
## Changes
- Simplify analysis output strategy to optional modular structure
- Update synthesis/artifacts documentation to use AskUserQuestion tool
- Add modular output strategy for brainstorm analysis
- Simplify clarification deduplication in lite-plan
- Add "Fix, Don't Hide" section to CLAUDE.md guidelines
- Simplify project.json schema by removing unused fields
- Update session ID format in lite-fix/lite-plan workflows
- Add development index to project JSON schema
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add recommended field to explore-json-schema.json clarification_needs
- Update lite-plan/lite-fix/context-gather agent prompts
- Display ★ marker and (Recommended) label in AskUserQuestion options
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Rename Track 0 from 'Exploration Aggregation' to 'Exploration Synthesis'
- Add explicit synthesis logic for critical_files prioritization and deduplication
- Enhance explore-json-schema to support relevance scores in relevant_files
- Update explore agent prompts across context-gather and lite-plan commands
- Add synthesizeCriticalFiles and synthesizeConflictIndicators helper functions
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Co-Authored-By: Claude <noreply@anthropic.com>
- Revert cost-aware batching and multi-agent parallelism in lite-execute
- Remove execution_group and task complexity from schema
- Remove execution_group rules from lite-plan
- Keep 50k context threshold protection in lite-plan
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Added new fields to the exploration JSON schema: exploration_angle, exploration_index, and total_explorations for better tracking of exploration parameters.
- Created a comprehensive review-fix command documentation to automate code review findings fixing, detailing the workflow, execution flow, agent roles, and error handling.
- Introduced fix-plan-template.json for structured planning output, including execution strategy, group definitions, and risk assessments.
- Added fix-progress-template.json to track progress for each group during the execution phase, ensuring real-time updates and status management.
- Introduced `review-deep-dive-results-schema.json` to define the structure for deep-dive iteration analysis results, including root cause analysis, remediation plans, and impact assessments.
- Added `review-dimension-results-schema.json` to outline the schema for dimension analysis results, capturing findings across various dimensions such as security and architecture, along with cross-references to related findings.
