Improve L0 extraction flow and recall robustness

modules/story-summary/vector/retrieval/recall.js

@@ -878,16 +878,23 @@ export async function recallMemory(allEvents, vectorConfig, options = {}) {
     try {
         const [vec] = await embed([bundle.queryText_v0], vectorConfig, { timeout: 10000 });
         queryVector_v0 = vec;
-    } catch (e) {
-        xbLog.error(MODULE_ID, 'Round 1 向量化失败', e);
-        metrics.timing.total = Math.round(performance.now() - T0);
-        return {
-            events: [], l0Selected: [], l1ByFloor: new Map(), causalChain: [],
-            focusEntities: bundle.focusEntities,
-            elapsed: metrics.timing.total,
-            logText: 'Embedding failed (round 1).',
-            metrics,
-        };
+    } catch (e1) {
+        xbLog.warn(MODULE_ID, 'Round 1 向量化失败，500ms 后重试', e1);
+        await new Promise(r => setTimeout(r, 500));
+        try {
+            const [vec] = await embed([bundle.queryText_v0], vectorConfig, { timeout: 15000 });
+            queryVector_v0 = vec;
+        } catch (e2) {
+            xbLog.error(MODULE_ID, 'Round 1 向量化重试仍失败', e2);
+            metrics.timing.total = Math.round(performance.now() - T0);
+            return {
+                events: [], l0Selected: [], l1ByFloor: new Map(), causalChain: [],
+                focusEntities: bundle.focusEntities,
+                elapsed: metrics.timing.total,
+                logText: 'Embedding failed (round 1, after retry).',
+                metrics,
+            };
+        }
     }
 
     if (!queryVector_v0?.length) {