- Add Artifact type to Step (name, path, artifact_type, description)
- step_done tool accepts optional artifacts parameter
- Save artifacts to step_artifacts DB table
- Display artifacts in frontend PlanSection (tag style)
- Show artifacts in step context for sub-agents and coordinator
- Add LLM client retry with exponential backoff
Main loop becomes a coordinator that reviews step summaries and may
revise the plan. Each step gets its own chat history and scratchpad,
preventing context pollution across steps.
- Add run_step_loop with 50-iteration limit and isolated context
- Replace advance_step with step_done (sub-loop only)
- Add coordinator review after each step completion
- Add scratchpad 8K capacity check
- Add 33 unit tests for state, tools, and message building
- Add state.rs with AgentState/Step/StepStatus/AgentPhase as single source of truth
- Extract prompts to markdown files loaded via include_str!
- Replace plan_steps table with execution_log + agent_state_snapshots
- Implement user feedback processing with docker-build-cache plan diff:
load snapshot → LLM revise_plan → diff (title, description) → invalidate from first mismatch → resume
- run_agent_loop accepts optional initial_state for mid-execution resume
- Broadcast plan step status (done/running/pending) to frontend on step transitions
- Rewrite frontend types/components to match new API (ExecutionLogEntry, PlanStepInfo with status)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
