Commit graph

2 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- Remove PlanningEnabledAppendix and ExecutionStatus enum (superseded by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
275f548914 refactor: streamline planning UX and strengthen complexity gate
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.
2026-01-03 11:15:32 +00:00