Replace separate editModeActive and planningModeActive boolean flags with a single ChatMode enum (ReadOnly, Edit, Planning). Add ChatModeSelector component for mode switching. Update all components to use chatMode instead of individual flags. Refactor MainAgent and ChatService to accept ChatMode parameter. Remove edit-mode styling variants throughout UI components. Update system prompt to document user reference system. Consolidate input button styling with shared input-button-highlight class.
Replace the single Replan tool with three targeted alternatives:
ReviseStep, RevisePlan, and SkipStep. This gives the orchestration
agent more precise control over plan recovery — revising only the
current step, replacing all remaining steps, or skipping a step
entirely — rather than triggering a full replan each time.
Also give the orchestration agent read access to vault files so it
can resolve execution failures without routing back to the planning
agent, and update the execution agent prompt to stop it from
attempting self-recovery (gap resolution is now the orchestrator's
responsibility).
- Calculate step position relative to scroll container for accurate centering
- Add flex-shrink: 0 to spinner to prevent unwanted shrinking
- Pass alternateBackground prop to active step spinner
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.
- Expand SystemPrompt wiki-link guidance with examples and common mistakes
- Add ResizeObserver to ChatPlanArea for dynamic height adjustments
- Improve plan completion summary prompt with more context requirements
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.
Move step height measurements into updateHeight function to ensure fresh calculations on each update, preventing stale reactive declarations from causing incorrect collapsed height values
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
- 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
- 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.
