Emit tool call start events immediately when tools begin execution,
allowing UI to display contextual "thinking" messages (e.g., "Generating
note contents..." for WriteVaultFile) before tool completion. Add
Spinner to ThoughtIndicator component for visual feedback during tool
operations.
- 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
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- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by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.
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 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.
- Wrap user messages in <message_to_title> tags to prevent prompt injection
- Expand NamePrompt with security guidelines and edge case handling
- Add 10-word limit truncation for generated titles
- Move conversation save before naming to ensure persistence
- Add comprehensive task complexity assessment framework to SystemPrompt
- Change stack limit error to warning log for better resilience
- 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
- Move prompts from AIClasses to AIPrompts directory
- Replace centralized IPrompt injection with direct property setters on IAIClass
- Remove allowDestructiveActions parameter from streamRequest methods
- Add toolDefinitions, systemPrompt, and userInstruction properties to IAIClass
- Refactor AIFunctionDefinitions to static methods with agent-specific tool sets
- Add planning agent function definitions (CreatePlan, Replan, CompleteStep, SubmitPlan)
- Create AIControllerService to handle agent orchestration
- Add execution plan related copy strings and replacement utility
- Update all AI providers (Claude, Gemini, OpenAI) to use new architecture
- 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.
Replace boolean flags (isFunctionCall, isFunctionCallResponse,
isProviderSpecificContent) with explicit typed properties (functionCall,
functionResponse, attachments) in ConversationContent. Introduce Attachment
class and BaseAIFileService. Update all AI providers (Claude, Gemini, OpenAI)
to use new attachment-based binary file handling with proper error handling,
retry logic, and AbortService integration.
Implement new Files API service for all providers (not yet integrated).
Add support for reading images (PNG, JPG, JPEG, WebP) and PDFs in ReadVaultFiles. Implement provider-specific formatting for binary content (Claude, OpenAI, Gemini). Update conversation structure to handle binary files separately from text responses. Add unpdf library for PDF text extraction in search.
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.
Improve component lifecycle management by converting DiffService and StatusBarService to extend Component class, ensuring proper cleanup and event handling. Add automatic service cleanup in DependencyService during deregistration.
Refine error handling in AI function responses to return error messages instead of Error objects for better serialization. Update user rejection messaging to provide clearer guidance to AI about stopping actions.
Replace console.error calls with Exception.log, implement typed API errors with automatic retry for transient failures (rate limits, server errors), add error state tracking to conversation content, and enhance system prompt with action-first operating principle, update unit tests
Add Exception helper class for consistent error handling and logging. Replace throw statements and console.error calls with Exception methods. Update service methods to return Error | T instead of mixed success/failure objects. Improve type safety in Claude.extractContents with explicit return type.
Add WikiLinks helper to VaultCacheService for managing wiki link references.
Update unit tests.
- Change function arguments type from `Record<string, object>` to `Record<string, unknown>`
- Add Zod schemas for all AI function arguments validation
- Improve TypeScript types across modals and services
- Add ESLint disable comments for intentional exceptions
- Fix async/await handling in modal and view lifecycle methods
- Update dependencies (@typescript-eslint 8.46.4, rollup 4.53.2, zod 4.1.12)
- Filter out messages with empty content in Claude, Gemini, and OpenAI
- Insert hidden "Continue" message when last message is from assistant
- Remove function call JSON from assistant message content
- Hide empty messages in ChatArea UI
- Add GitHub link and about content to help modal
- Add comprehensive tests for message handling edge cases
- Add tooltips to search trigger elements for better visibility
- Fix cursor detection logic for contenteditable="false" elements
- Make user messages render as HTML to support rich content
- Add default cursor style to search triggers
- Remove debug console.log statement
- Clean up unused import in SearchTrigger
Standardize message extraction logic to use promptContent field for user roles and content field for assistant roles. Update all AI provider implementations (Claude, OpenAI, Gemini) and corresponding tests. Remove trailing space insertion in ChatInput and clean up minor formatting issues.
refactor: rename type interfaces to use I prefix convention
Standardize naming by adding I prefix to all interface types across the codebase (StreamChunk → IStreamChunk, SearchMatch → ISearchMatch, etc.). Also rename conversationStore.ts to ConversationStore.ts for consistency.
- Extract functionCall/functionResponse objects properly in Gemini
- Reset chat area state when loading conversations
- Add SanitiserService for path validation
- Prevent duplicate conversation names
- Improve chat scrolling and padding logic
- Clear streaming state on submission complete
- Split content and functionCall into separate fields in ConversationContent
- Extract content parsing logic into dedicated methods for Claude and Gemini
- Add API error 429 handling with provider-specific user information
- Improve error messages in naming services to include response text
- Increase max_tokens for main requests and naming services
- Optimize ChatService to reduce unnecessary saves and array recreations
- Remove message key binding in ChatArea to improve performance
- Adjust chat window max-width to fixed pixel value
- Add 500ms timeout to chat padding recalculation to prevent race conditions
- Replace svelte tick() with setTimeout for conversation title updates
- Update token display after each conversation save and streaming response
- Remove unused svelte/transition and tick imports
Implement smooth ease-out animation when updating input/output token counts in the status bar, replacing instant updates with a 1-second transition for better visual feedback.
Implement real-time input/output token tracking in the status bar by
integrating ITokenService with ChatService. Token counts are calculated
from conversation history and updated on conversation load, reset, and
message completion.
- Extract typing-in animation from ChatArea to global styles.css for reuse
- Add conversation title display in TopBar with fade transition
- Update ChatService to notify title changes via onNameChanged callback
- Fix ConversationNamingService to trigger callback after saving new title
- Clean up unused isAborting flag in ChatService
- Adjust grid layout in TopBar to accommodate title display
Implement automatic conversation title generation using Gemini API. Add IConversationNamingService interface with GeminiConversationNamingService implementation. Integrate naming service into ChatService to generate titles on first user message. Update ConversationFileSystemService to support title updates via file renaming.
- Add abort flag to prevent semaphore double-release during stop
- Stop active chats before deleting conversations to avoid state corruption
- Treat empty search terms as explicit request for all files
- Add allowDestructiveActions parameter throughout AI request chain
- Implement edit mode UI toggle with visual indicators
- Update getQueryActions to conditionally include destructive tools
- Add blue highlight styling when edit mode is active
- Add generic types to all Resolve() calls for type safety
- Introduce VaultService abstraction layer for file operations
- Add AI File Exclusions setting with textarea and glob pattern support
- Refactor FileSystemService to use VaultService instead of direct Vault access
- Improve code organization with comments and renamed variables
- Update styles for exclusions input field
