Add getMimeType method mock to all Attachment test objects across AI service tests (Claude, Gemini, OpenAI) and mock StringTools.resizeB64Image in BaseAIFileService tests to prevent browser environment issues.
- Rename toolDefinitions to aiFunctionDefinitions across all AI classes
- Add aiFunctionUsageMode property to control function calling behavior
- Implement provider-specific tool_choice/tool_config based on usage mode
- Remove AIController and create BaseAgent base class
- Update ExecutionPrompt with scope of execution guidelines
- Simplify ChatArea layout update logic by removing debounce
- Add naming service completion wait in ChatService
- Replace console.warn with Exception.warn in InputService
- Delete unused AIController.ts file
- Update all tests to use new aiFunctionDefinitions property
- Rename AIControllerService to MainAgent throughout test files
- Move AIFunctionService to AIServices directory
- Update service registration from AIControllerService to MainAgent
- Add agentType parameter to mock AI configuration
- Add resolveAIProvider method to mock service
- Update test comments to reflect orchestration agent workflow
- Remove planning/execution agent-specific tests in favor of integration tests
- Consolidate agent loop tests into main test suite
- Add context_for_next_step parameter to CompleteStep for passing execution history
- Add context parameter to CompleteTask for preserving task completion state
- Update OrchestrationResult to handle context propagation between steps
- Add debug color differentiation for agent types (Main, Execution, Orchestration, Planning)
- Reorganize SearchTypes from Helpers to Types directory
- Add justification requirement for execution deviations
- Support reasonable deviations in orchestration plan validation
- Refactor dependency service with TryResolve utility
- Add whitespace cleanup to Semaphore class
Restructure the AI workflow from a single-agent model to a specialized
multi-agent system with distinct roles:
- Add AgentType enum (Main, Orchestration, Planning, Execution) to define
agent specializations
- Replace AIControllerService and AIFunctionService with modular agent
classes in Services/AIServices/:
- MainAgent: Handles user interaction and delegates to orchestration
- OrchestrationAgent: Coordinates plan execution and step-by-step workflow
- PlanningAgent: Creates and revises execution plans
- ExecutionAgent: Executes individual plan steps
- AIController: Base class providing common agent loop functionality
- Create specialized prompts (OrchestrationPrompt, ExecutionPrompt) for
agent-specific behavior
- Add OrchestrationResult type to communicate workflow control decisions
(continue, abort, replan)
- Introduce agent-specific function scoping:
- ExecuteWorkflow for main agent
- CompleteTask for execution agent
- CompleteStep/Replan/CancelPlan for orchestration agent
- SubmitPlan/AskUserQuestionPlanning for planning agent
- Update BaseAIClass to use agentType property instead of isPlanningAgent
boolean for model selection
- Simplify ExecutionPlan and ExecutionStep types by removing execution
state tracking (moved to agent coordination)
- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by
agent architecture)
- Add comprehensive integration tests for agent workflows
This architecture provides better separation of concerns, clearer agent
responsibilities, and more robust plan execution with explicit orchestration
control flow.
Test agent loop function calls, planning mode, execution agent, replan workflow, error handling, save callbacks, and shouldContinue flag behavior. Update mocks to use AIFunctionResponse class and rename onPlanComplete to onPlanReset.
Add distinct AskUserQuestionPlanning and AskUserQuestionExecution functions to enable user consultation during both planning and execution phases. Update system prompt to clarify when to seek user input vs. replan. Fix plan area rendering timing and improve execution flow handling.
- Add currentProvider getter to AI classes for provider access
- Enhance planning prompt to discourage over-engineering and scope creep
- Return Unknown enum instead of throwing for invalid AI functions
- Add completion reminders to execution steps
- Fix ChatPlanArea height calculation timing
- Update tests to handle Unknown function gracefully
Introduce separate planning model setting to allow using different models for planning vs execution. Add visual countdown display when rate limits are hit, with improved retry delay parsing across providers (Claude, OpenAI, Gemini). Refactor settings tab into Views directory and enhance mobile layout for input controls.
- Add planning mode toggle and AskUserQuestion function for interactive planning
- Fix Gemini cross-provider function call detection using toolId presence
- Update OpenAI naming service to handle new response format
- Improve system prompts by removing complexity gate, streamlining to action-first principle
- Add InputDisplay component and question mode to ChatInput
- Refactor execution plan error messages to show all incomplete steps
- Update tests to reflect cross-provider function call format changes
Restructure system prompt to enforce mandatory complexity evaluation before action. Replace verbose multi-step planning framework with concise gate-based decision model. Add UI for execution plan visibility. Improve planning/execution separation by blocking execution tools during planning phase. Remove cancellation indicator component. Fix conversation deletion bug preventing saves after delete. Strengthen type safety for AIFunction names. Simplify function summary format for planning agent. Update test mocks for new callback signatures.
Move parseFunctionCall and parseFunctionResponse from BaseAIClass private methods to shared ResponseHelper module for better code reusability across providers and tests.
- Move parseFunctionCall/parseFunctionResponse to ResponseHelper
- Enhance orphaned call/response filtering with detailed debug logs
- Add toolId to conversation content for better tracking
- Fix planning workflow execution mechanics and step numbering
- Remove unused planning agent appendix and detailedAppendixForPlanningAgent
- Add conversation save callbacks throughout AI controller loops
- Improve multi-agent function handling to avoid exceptions
- Update all tests to include toolId fields for proper filtering
- Add toolId matching validation for function call/response pairs
- Filter orphaned function calls and responses with warnings
- Add CancelPlan function to abort plan execution
- Fix planning response handling in execution agent
- Pass clearThoughtOnContent flag through streaming pipeline
Add cache control to system prompt, tools, and conversation messages to optimize API performance and reduce costs by caching frequently reused content.
Update GitHub link to point directly to project page.
Improve prompt for user suggestion during actions that require confirmation.
Update unit tests.
Bump dependency versions.
- Add validation check for file ID after upload attempt
- Clear existing file ID before re-uploading to prevent stale IDs
- Replace Node.js Buffer with standard Uint8Array/ArrayBuffer for cross-platform compatibility
- Add missing Content-Type header for Gemini file uploads
- Update tests to use TextDecoder for ArrayBuffer inspection
Enhance WorkSpaceService.getActiveFile() to filter out excluded files using VaultService.isExclusion(), preventing access to restricted paths. Add optional allowAccessToPluginRoot parameter for cases requiring access to plugin root directory. Update test expectations to match new method signature.
- Include user's current active file path in chat requests
- Move conversation save after attachments are added
- Extract formattedRequest in suggest handler
- Add WorkSpaceService.getActiveFile() method
- Remove premature chatArea layout update
- Update unit tests
- Move MimeTypeToFileTypes and FileTypeToMimeType mappings to dedicated FileTypeMimeTypeMapping enum file
- Add empty content validation for file attachments
- Add PDF support for Gemini
- Display attachment references in user messages with file info
- Fix OpenAI unsupported mime type message formatting
- Improve URI list handling in InputService to include text/plain
- Update chat area padding and styling for better attachment display
- Prevent drag selection on chat padding element
- Update test assertions for new unsupported mime type message format
refactor: standardize file type and MIME type handling across AI providers
Introduce centralized MimeType enum and bidirectional mappings between file types and MIME types. Update Claude, Gemini, and OpenAI implementations to use consistent MIME type validation. Add file attachment support via drag-and-drop and paste in chat input. Expand supported file type detection to include programming languages, config files, and documentation formats.
- Add pageNumber field to ISearchSnippet and IPageText interfaces
- Update extractSnippets to process content as paginated text
- Switch PDF reading to use readPDF helper for page extraction
- Update search results to include page numbers in snippets
- Add page number assertions to VaultService tests
Excludes image/PDF content blocks from text extraction when
isProviderSpecificContent flag is set, avoiding unnecessary token
usage. Updates ReadVaultFiles documentation to clarify image/PDF
reading capabilities and adds system prompt guidance for handling
binary file references.
Simplify historical tool call/result format from bracketed text to JSON with HTML comments indicating completed status. Update system prompt to clarify this is historical context, not a pattern to reproduce. Improve chat area layout performance with debouncing and reduce minimum padding. Update all tests to match new format.
Remove custom backspace key handler in ChatInput and unused getElementBeforeCursor method in InputService. Clean up unused imports and associated test cases.
Consolidate convertFunctionCallToText and convertFunctionResponseToText
methods from Claude and Gemini into BaseAIClass for code reuse. Update
OpenAI to handle missing function call IDs by converting to legacy text
format, preventing undefined call_id bugs during cross-provider switches.
Implement thought signature tracking for Gemini function calls to support Gemini 3 requirements. Migrate OpenAI integration from Chat Completions to Responses API with proper input/output item handling. Add cross-provider compatibility via legacy text format fallback for conversations without thought signatures or tool IDs. Improve chat auto-scroll behavior and conversation validation. Add and update AI class and conversation tests.
Replace console.error/log with Exception.log helper, improve OpenAI error handling with retryable errors, add type-safe model validation, and add new AI models (Claude Opus 4.5, Gemini 3 Pro Preview, GPT-5.1)
This change simplifies the patch mechanism by replacing the unified diff format with a straightforward find-and-replace approach. The PatchVaultFile function now accepts oldContent and newContent parameters instead of a diff patch string, making it more intuitive and reliable for AI agents to use.
Key changes:
- Update PatchVaultFile function signature and documentation
- Replace diff.applyPatch() with String.replace()
- Simplify error handling for content matching
- Update all tests to reflect new API
- Remove unused applyPatch method from DiffService
- Fix diff container height calculation in CSS
- Fix error notification logic in ChatService
- Fix conversation deletion order in TopBar component
Implements unified diff patching as an alternative to WriteVaultFile for making targeted changes without replacing entire files. Includes new PatchVaultFile AI function, DiffService.applyPatch method, and comprehensive test coverage.
Introduce a new AbortService to centralize cancellation logic across all async operations, replacing scattered AbortSignal parameters with a unified singleton service. This improves maintainability and provides consistent cancellation behavior throughout the application.
Key changes:
- Add AbortService for centralized abort signal management with automatic cleanup
- Refactor all AI providers (Claude, Gemini, OpenAI) to use AbortService instead of passing AbortSignal parameters
- Update streaming operations to use centralized abort handling
- Add CancellationIndicator component to show visual feedback during operation cancellation
- Rename ChatAreaThought to ThoughtIndicator for better semantic clarity
- Add Environment enum for consistent environment detection
- Enhance ChatService lifecycle with proper cancellation state management
- Remove scattered abort-related UI selectors and error messages in favor of dedicated indicator
- Add safeContinue() factory method to ConversationContent for internal continuations
- Update all tests to reflect new abort handling architecture
This change simplifies the API surface by removing AbortSignal parameters from method signatures while improving the user experience with clearer cancellation feedback.
Implement a comprehensive diff viewing system that allows users to review and approve/reject file changes before they're applied. The system includes event-driven architecture for managing diff lifecycle and integrates diff2html for rich visual diffs.
Key changes:
- Add DiffService for managing diff approval workflow with accept/reject/suggest actions
- Create EventService for type-safe event handling (DiffOpened/DiffClosed)
- Add DiffView component with diff2html integration for visual diff rendering
- Modify VaultService to propose changes and require confirmation before file operations
- Update FileSystemService to support optional confirmation for write operations
- Add Event enum for centralized event type definitions
- Import custom styles and diff2html styles for proper diff rendering
- Update ConversationContent validation to support optional toolId field
- Remove FileManager from dependency injection (now accessed directly from app)
- Update .gitignore to track styles.css instead of main.css
Consolidate duplicate code from Claude, Gemini, and OpenAI implementations into a new BaseAIClass with common methods for parsing, filtering conversation contents, and error handling. Filter orphaned function calls without responses from conversation history to prevent API errors.
