feat(runtime): add planner reflection history with rationale and thinking

- ToolCallDecision captures thinking blocks and pre-tool text output
- AnthropicToolCallingClient supports optional extended thinking (budget_tokens + beta header)
- PlannedStep carries rationale and thinking from each LLM decision
- WorldEvent replaces scene_summary with rationale/thinking/page fields (backward-compatible)
- AI planner system prompt instructs reflection before each tool call
- _history_summary() emits compact {page, rationale, action, success} dicts
- Cloud DB migration 0011 adds nullable rationale/thinking columns to planner_decision_log
- OpenAI client extracts reasoning_content into thinking field

world/model.py

@@ -135,9 +135,12 @@ class WorldModel:
     ) -> None:
         state.history.append(
             WorldEvent(
-                scene_summary=semantic_scene or scene,
                 action=str(getattr(step, "action", "unknown")),
                 success=bool(getattr(result, "success", False)),
+                scene_summary=semantic_scene or scene,
+                rationale=getattr(step, "rationale", None),
+                thinking=getattr(step, "thinking", None),
+                page=state.current_page,
             )
         )