Commit graph

3 commits

Author SHA1 Message Date
Andrew Beal
ab9ee08281 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- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by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
Andrew Beal
7e71861a4d refactor: improve plan execution with stricter scope and error 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
2026-01-06 20:49:02 +00:00
Andrew Beal
2de8109a74 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