diff --git a/prompting/prompt-builder.js b/prompting/prompt-builder.js
index 7b84777..4c9f34c 100644
--- a/prompting/prompt-builder.js
+++ b/prompting/prompt-builder.js
@@ -296,6 +296,8 @@ function getPromptMessageLikeDescriptor(value) {
       role: role === "user" ? "user" : "assistant",
       seq: getOptionalFiniteNumber(value.seq),
       speaker,
+      isContextOnly:
+        typeof value.isContextOnly === "boolean" ? value.isContextOnly : null,
     };
   }
 
@@ -308,6 +310,8 @@ function getPromptMessageLikeDescriptor(value) {
       role: value.is_user === true ? "user" : "assistant",
       seq: getOptionalFiniteNumber(value.seq),
       speaker,
+      isContextOnly:
+        typeof value.isContextOnly === "boolean" ? value.isContextOnly : null,
     };
   }
 
@@ -322,23 +326,49 @@ function isPromptMessageArray(value) {
   );
 }
 
+function getPromptMessageContextGroup(value) {
+  const descriptor = getPromptMessageLikeDescriptor(value);
+  if (!descriptor || typeof descriptor.isContextOnly !== "boolean") {
+    return null;
+  }
+  return descriptor.isContextOnly ? "context" : "target";
+}
+
 function formatPromptMessageTranscript(value) {
   const entries = Array.isArray(value) ? value : [value];
-  return entries
-    .map((entry, index) => {
-      const descriptor = getPromptMessageLikeDescriptor(entry);
-      if (!descriptor) {
-        return "";
-      }
-      const seqLabel =
-        descriptor.seq != null ? `#${descriptor.seq}` : `#${index + 1}`;
-      const speakerLabel = descriptor.speaker
-        ? `|${descriptor.speaker}`
-        : "";
-      return `${seqLabel} [${descriptor.role}${speakerLabel}]: ${descriptor.content}`;
-    })
-    .filter(Boolean)
-    .join("\n\n");
+  const hasContextMessages = entries.some(
+    (entry) => getPromptMessageContextGroup(entry) === "context",
+  );
+  const hasTargetMessages = entries.some(
+    (entry) => getPromptMessageContextGroup(entry) === "target",
+  );
+  const lines = [];
+  let activeGroup = null;
+
+  for (let index = 0; index < entries.length; index += 1) {
+    const entry = entries[index];
+    const descriptor = getPromptMessageLikeDescriptor(entry);
+    if (!descriptor) {
+      continue;
+    }
+    const group = getPromptMessageContextGroup(entry);
+    if (hasContextMessages && hasTargetMessages && group && group !== activeGroup) {
+      lines.push(
+        group === "context"
+          ? "--- 以下是上下文回顾（已提取过），仅供理解剧情 ---"
+          : "--- 以下是本次需要提取记忆的新对话内容 ---",
+      );
+      activeGroup = group;
+    }
+    const seqLabel =
+      descriptor.seq != null ? `#${descriptor.seq}` : `#${index + 1}`;
+    const speakerLabel = descriptor.speaker
+      ? `|${descriptor.speaker}`
+      : "";
+    lines.push(`${seqLabel} [${descriptor.role}${speakerLabel}]: ${descriptor.content}`);
+  }
+
+  return lines.filter(Boolean).join("\n\n");
 }
 
 function stringifyInterpolatedValue(value) {
diff --git a/tests/extractor-phase3-layered-context.mjs b/tests/extractor-phase3-layered-context.mjs
index f83a305..5d83646 100644
--- a/tests/extractor-phase3-layered-context.mjs
+++ b/tests/extractor-phase3-layered-context.mjs
@@ -165,6 +165,81 @@ function collectAllPromptContent(captured) {
   }
 }
 
+{
+  const graph = createEmptyGraph();
+  let captured = null;
+  const restore = setTestOverrides({
+    llm: {
+      async callLLMForJSON(payload) {
+        captured = payload;
+        return { operations: [], cognitionUpdates: [], regionUpdates: {} };
+      },
+    },
+  });
+
+  try {
+    const result = await extractMemories({
+      graph,
+      messages: [
+        {
+          seq: 10,
+          role: "user",
+          content: "第一轮消息",
+          name: "玩家",
+          speaker: "玩家",
+          isContextOnly: true,
+        },
+        {
+          seq: 11,
+          role: "assistant",
+          content: "第一轮回复",
+          name: "艾琳",
+          speaker: "艾琳",
+          isContextOnly: true,
+        },
+        {
+          seq: 12,
+          role: "user",
+          content: "第二轮消息",
+          name: "玩家",
+          speaker: "玩家",
+          isContextOnly: false,
+        },
+        {
+          seq: 13,
+          role: "assistant",
+          content: "第二轮回复",
+          name: "艾琳",
+          speaker: "艾琳",
+          isContextOnly: false,
+        },
+      ],
+      startSeq: 12,
+      endSeq: 13,
+      schema: DEFAULT_NODE_SCHEMA,
+      embeddingConfig: null,
+      settings: { ...defaultSettings },
+    });
+
+    assert.equal(result.success, true);
+    assert.ok(captured);
+
+    const recentBlock = (Array.isArray(captured.promptMessages) ? captured.promptMessages : []).find(
+      (m) => m.sourceKey === "recentMessages",
+    );
+    assert.ok(recentBlock, "recentMessages block should exist");
+    const recentContent = String(recentBlock?.content || "");
+    assert.match(recentContent, /以下是上下文回顾（已提取过），仅供理解剧情/);
+    assert.match(recentContent, /以下是本次需要提取记忆的新对话内容/);
+    assert.ok(
+      recentContent.indexOf("已提取过") < recentContent.indexOf("本次需要提取"),
+      "context review should appear before extraction target section",
+    );
+  } finally {
+    restore();
+  }
+}
+
 // ── Test 2: extractRecentMessageCap limits messages ──
 {
   const graph = createEmptyGraph();
diff --git a/tests/prompt-builder-mixed-transcript.mjs b/tests/prompt-builder-mixed-transcript.mjs
index fa2bd83..de9c95e 100644
--- a/tests/prompt-builder-mixed-transcript.mjs
+++ b/tests/prompt-builder-mixed-transcript.mjs
@@ -117,6 +117,7 @@ const promptBuild = await buildTaskPrompt(settings, "extract", {
       content: "继续说明",
       name: "艾琳",
       speaker: "艾琳",
+      isContextOnly: true,
     },
     {
       seq: 42,
@@ -124,6 +125,7 @@ const promptBuild = await buildTaskPrompt(settings, "extract", {
       content: "用户输入",
       name: "玩家",
       speaker: "玩家",
+      isContextOnly: false,
     },
   ],
   graphStats: "node_count=1",
@@ -134,6 +136,14 @@ const payload = buildTaskLlmPayload(promptBuild, "fallback-user");
 const recentBlock = payload.promptMessages.find(
   (message) => message.sourceKey === "recentMessages",
 );
+assert.match(
+  String(recentBlock?.content || ""),
+  /以下是上下文回顾（已提取过），仅供理解剧情/,
+);
+assert.match(
+  String(recentBlock?.content || ""),
+  /以下是本次需要提取记忆的新对话内容/,
+);
 assert.match(String(recentBlock?.content || ""), /#41 \[assistant\|艾琳\]: 助手已净化/);
 assert.match(String(recentBlock?.content || ""), /#42 \[user\|玩家\]: 用户已净化/);
 assert.doesNotMatch(