- Change ChatMode enum values from numeric (0,1,2) to string literals ("read_only", "edit", "planning")
- Move chat mode state management from ChatWindow to SettingsService with persistence
- Add chat mode awareness to system prompts and tool validation
- Replace Map with WeakMap for settings subscribers to prevent memory leaks
- Add type-safe event handlers to EventService
- Update esbuild and TypeScript targets from ES2018/ES2020 to ES2022
- Add requiresEditModeEnabled() validation to prevent tool hallucination in read-only mode
- Update all test fixtures to include chatMode in mock settings
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- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by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 MAX_AGENT_DEPTH check to prevent infinite planning recursion
- Prompt user to submit plan if not provided instead of silent failure
- Clear planning mode when deactivating edit mode
- Remove inline overflow-y style in favor of CSS declaration
- Update error copy for clarity
- Remove unused deactivateEditMode method
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.
Refactor SearchVaultFiles to accept array of search terms, add user instruction panel in chat input with toggle button, move user instruction path to settings (from hardcoded), improve search result interaction with mouse/keyboard support, fix async exists() method in VaultService, and create example instructions file on first launch
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.
- Deactivate edit mode when resetting or loading conversations
- Fix cancelled request detection using Selector instead of Copy enum
- Standardize quote style in StreamingMarkdownService to double quotes
