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

packages/cloud-platform/cloud/sql_repository.py

@@ -1694,6 +1694,8 @@ class SQLAlchemyCloudRepository:
         tool_name: str,
         arguments_json: str,
         now: datetime,
+        rationale: str | None = None,
+        thinking: str | None = None,
     ) -> int:
         with self._sessions.begin() as session:
             current_max = session.scalars(
@@ -1714,6 +1716,8 @@ class SQLAlchemyCloudRepository:
                     tool_name=tool_name,
                     arguments_json=arguments_json,
                     created_at=_iso(now),
+                    rationale=rationale,
+                    thinking=thinking,
                 )
             )
             session.flush()
@@ -1766,6 +1770,8 @@ class SQLAlchemyCloudRepository:
                 tool_name=row.tool_name,
                 arguments_json=row.arguments_json,
                 created_at=_parse_dt(row.created_at),  # type: ignore[arg-type]
+                rationale=row.rationale,
+                thinking=row.thinking,
             )
             for row in rows
         ]