andy-stack_vaultkeeper-ai/Types/ExecutionStep.ts

export interface ExecutionStep {
    description: string;
    instruction: string;
    context?: string;
}
refactor: implement multi-agent orchestration architecture 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execution state tracking (moved to agent coordination) - Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by agent architecture) - Add comprehensive integration tests for agent workflows This architecture provides better separation of concerns, clearer agent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. 2026-01-27 20:29:20 +00:00			`export interface ExecutionStep {`
			`description: string;`
			`instruction: string;`
			`context?: string;`
refactor: restructure AI prompt and agent architecture for multi-agent planning support - 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 2025-12-30 19:07:00 +00:00			`}`