feat: 完整 Prompt 配置页 - 全部 6 个 prompt 可自定义

- panel.html: 6 个折叠式 textarea（提取/召回/进化/压缩/概要/反思） - style.css: details/summary 折叠组样式 - panel.js: 全部 6 个 prompt 双向数据绑定 - index.js: 所有调用点传入 customPrompt - extractor.js / retriever.js / evolution.js / compressor.js: 接受并使用自定义 prompt - 留空时走内置默认 prompt，完全向后兼容
2026-05-15 22:30:38 +08:00 · 2026-03-24 17:21:40 +08:00
parent 963e4f3b7b
commit 58304e7253
8 changed files with 106 additions and 18 deletions
--- a/compressor.js
+++ b/compressor.js
@@ -16,7 +16,7 @@ import { isDirectVectorConfig } from './vector-index.js';
 * @param {boolean} [params.force=false] - 忽略阈值强制压缩
 * @returns {Promise<{created: number, archived: number}>}
 */
-export async function compressType({ graph, typeDef, embeddingConfig, force = false }) {
+export async function compressType({ graph, typeDef, embeddingConfig, force = false, customPrompt }) {
    const compression = typeDef.compression;
    if (!compression || compression.mode !== 'hierarchical') {
        return { created: 0, archived: 0 };
@@ -33,6 +33,7 @@ export async function compressType({ graph, typeDef, embeddingConfig, force = fa
            level,
            embeddingConfig,
            force,
+            customPrompt,
        });

        totalCreated += result.created;
@@ -48,7 +49,7 @@ export async function compressType({ graph, typeDef, embeddingConfig, force = fa
 /**
 * 压缩特定层级的节点
 */
-async function compressLevel({ graph, typeDef, level, embeddingConfig, force }) {
+async function compressLevel({ graph, typeDef, level, embeddingConfig, force, customPrompt }) {
    const compression = typeDef.compression;

    // 获取该层级的活跃叶子节点
@@ -79,7 +80,7 @@ async function compressLevel({ graph, typeDef, level, embeddingConfig, force })
        if (batch.length < 2) break; // 至少 2 个才压缩

        // 调用 LLM 总结
-        const summaryResult = await summarizeBatch(batch, typeDef);
+        const summaryResult = await summarizeBatch(batch, typeDef, customPrompt);
        if (!summaryResult) continue;

        // 创建压缩节点
@@ -152,7 +153,7 @@ function migrateBatchEdges(graph, batch, compressedNode) {
 /**
 * 调用 LLM 总结一批节点
 */
-async function summarizeBatch(nodes, typeDef) {
+async function summarizeBatch(nodes, typeDef, customPrompt) {
    const nodeDescriptions = nodes.map((n, i) => {
        const fieldsStr = Object.entries(n.fields)
            .filter(([_, v]) => v)
@@ -163,7 +164,7 @@ async function summarizeBatch(nodes, typeDef) {

    const instruction = typeDef.compression.instruction || '将以下节点压缩总结为一条精炼记录。';

-    const systemPrompt = [
+    const systemPrompt = customPrompt || [
        '你是一个记忆压缩器。将多个同类型节点总结为一条更高层级的压缩节点。',
        instruction,
        '',
@@ -190,13 +191,13 @@ async function summarizeBatch(nodes, typeDef) {
 * @param {boolean} [force=false]
 * @returns {Promise<{created: number, archived: number}>}
 */
-export async function compressAll(graph, schema, embeddingConfig, force = false) {
+export async function compressAll(graph, schema, embeddingConfig, force = false, customPrompt) {
    let totalCreated = 0;
    let totalArchived = 0;

    for (const typeDef of schema) {
        if (typeDef.compression?.mode === 'hierarchical') {
-            const result = await compressType({ graph, typeDef, embeddingConfig, force });
+            const result = await compressType({ graph, typeDef, embeddingConfig, force, customPrompt });
            totalCreated += result.created;
            totalArchived += result.archived;
        }
--- a/evolution.js
+++ b/evolution.js
@@ -56,6 +56,7 @@ export async function evolveMemories({
    newNodeIds,
    embeddingConfig,
    options = {},
+    customPrompt,
 }) {
    const neighborCount = options.neighborCount ?? 5;
    const stats = { evolved: 0, connections: 0, updates: 0 };
@@ -114,7 +115,7 @@ export async function evolveMemories({

        try {
            const decision = await callLLMForJSON({
-                systemPrompt: EVOLUTION_SYSTEM_PROMPT,
+                systemPrompt: customPrompt || EVOLUTION_SYSTEM_PROMPT,
                userPrompt,
                maxRetries: 1,
            });
--- a/extractor.js
+++ b/extractor.js
@@ -617,7 +617,7 @@ async function mem0ConflictCheck(
 * @param {number} params.currentSeq
 * @returns {Promise<void>}
 */
-export async function generateSynopsis({ graph, schema, currentSeq }) {
+export async function generateSynopsis({ graph, schema, currentSeq, customPrompt }) {
  const eventNodes = getActiveNodes(graph, "event").sort(
    (a, b) => a.seq - b.seq,
  );
@@ -639,7 +639,7 @@ export async function generateSynopsis({ graph, schema, currentSeq }) {
    .join("; ");

  const result = await callLLMForJSON({
-    systemPrompt: [
+    systemPrompt: customPrompt || [
      "你是故事概要生成器。根据事件线、角色和主线生成简洁的前情提要。",
      '输出 JSON：{"summary": "前情提要文本（200字以内）"}',
      "要求：涵盖核心冲突、关键转折、主要角色当前状态。",
@@ -686,7 +686,7 @@ export async function generateSynopsis({ graph, schema, currentSeq }) {
  }
 }

-export async function generateReflection({ graph, currentSeq }) {
+export async function generateReflection({ graph, currentSeq, customPrompt }) {
  const recentEvents = getActiveNodes(graph, "event")
    .sort((a, b) => b.seq - a.seq)
    .slice(0, 6)
@@ -726,7 +726,7 @@ export async function generateReflection({ graph, currentSeq }) {
    .join("\n");

  const result = await callLLMForJSON({
-    systemPrompt: [
+    systemPrompt: customPrompt || [
      "你是 RP 长期记忆系统的反思生成器。",
      '输出严格 JSON：{"insight":"...","trigger":"...","suggestion":"...","importance":1-10}',
      "insight 应总结最近情节中最值得长期保留的变化、关系趋势或潜在线索。",
--- a/index.js
+++ b/index.js
@@ -722,6 +722,7 @@ async function handleExtractionSuccess(result, endIdx, settings) {
        newNodeIds: result.newNodeIds,
        embeddingConfig: getEmbeddingConfig(),
        options: { neighborCount: settings.evoNeighborCount },
+        customPrompt: settings.evolutionPrompt || undefined,
      });
      postProcessArtifacts.push("evolution");
    } catch (e) {
@@ -735,6 +736,7 @@ async function handleExtractionSuccess(result, endIdx, settings) {
        graph: currentGraph,
        schema: getSchema(),
        currentSeq: endIdx,
+        customPrompt: settings.synopsisPrompt || undefined,
      });
      postProcessArtifacts.push("synopsis");
    } catch (e) {
@@ -750,6 +752,7 @@ async function handleExtractionSuccess(result, endIdx, settings) {
      await generateReflection({
        graph: currentGraph,
        currentSeq: endIdx,
+        customPrompt: settings.reflectionPrompt || undefined,
      });
      postProcessArtifacts.push("reflection");
    } catch (e) {
@@ -770,6 +773,8 @@ async function handleExtractionSuccess(result, endIdx, settings) {
    currentGraph,
    getSchema(),
    getEmbeddingConfig(),
+    false,
+    settings.compressPrompt || undefined,
  );
  if (compressionResult.created > 0 || compressionResult.archived > 0) {
    postProcessArtifacts.push("compression");
@@ -1189,6 +1194,7 @@ async function runRecall() {
        topK: settings.recallTopK,
        maxRecallNodes: settings.recallMaxNodes,
        enableLLMRecall: settings.recallEnableLLM,
+        recallPrompt: settings.recallPrompt || undefined,
        weights: {
          graphWeight: settings.graphWeight,
          vectorWeight: settings.vectorWeight,
--- a/panel.html
+++ b/panel.html
@@ -319,12 +319,38 @@
            <div class="bme-config-card">
              <div class="bme-section-header">系统提示词</div>
              <div class="bme-config-help">
-                为空时使用内置默认提取系统提示词。这里只覆盖“记忆提取”提示词，召回/概要/反思仍走内置模板。
-              </div>
-              <div class="bme-config-row">
-                <label for="bme-setting-extract-prompt">记忆提取系统提示词</label>
-                <textarea id="bme-setting-extract-prompt" class="bme-config-textarea" placeholder="留空则使用默认提取系统提示词"></textarea>
+                留空时使用内置默认提示词。自定义后将完全替换对应环节的 system prompt。
              </div>
+
+              <details class="bme-prompt-group">
+                <summary>📝 记忆提取</summary>
+                <textarea id="bme-setting-extract-prompt" class="bme-config-textarea" placeholder="留空 = 默认提取 prompt"></textarea>
+              </details>
+
+              <details class="bme-prompt-group">
+                <summary>🔍 智能召回</summary>
+                <textarea id="bme-setting-recall-prompt" class="bme-config-textarea" placeholder="留空 = 默认召回 prompt"></textarea>
+              </details>
+
+              <details class="bme-prompt-group">
+                <summary>🧬 记忆进化</summary>
+                <textarea id="bme-setting-evolution-prompt" class="bme-config-textarea" placeholder="留空 = 默认进化 prompt"></textarea>
+              </details>
+
+              <details class="bme-prompt-group">
+                <summary>📦 记忆压缩</summary>
+                <textarea id="bme-setting-compress-prompt" class="bme-config-textarea" placeholder="留空 = 默认压缩 prompt"></textarea>
+              </details>
+
+              <details class="bme-prompt-group">
+                <summary>📜 全局概要</summary>
+                <textarea id="bme-setting-synopsis-prompt" class="bme-config-textarea" placeholder="留空 = 默认概要 prompt"></textarea>
+              </details>
+
+              <details class="bme-prompt-group">
+                <summary>💭 反思生成</summary>
+                <textarea id="bme-setting-reflection-prompt" class="bme-config-textarea" placeholder="留空 = 默认反思 prompt"></textarea>
+              </details>
            </div>

            <div class="bme-config-card">
--- a/panel.js
+++ b/panel.js
@@ -531,6 +531,11 @@ function _refreshConfigTab() {
    );

    _setInputValue("bme-setting-extract-prompt", settings.extractPrompt || "");
+    _setInputValue("bme-setting-recall-prompt", settings.recallPrompt || "");
+    _setInputValue("bme-setting-evolution-prompt", settings.evolutionPrompt || "");
+    _setInputValue("bme-setting-compress-prompt", settings.compressPrompt || "");
+    _setInputValue("bme-setting-synopsis-prompt", settings.synopsisPrompt || "");
+    _setInputValue("bme-setting-reflection-prompt", settings.reflectionPrompt || "");
    _setInputValue("bme-setting-panel-theme", settings.panelTheme || "crimson");
 }

@@ -603,6 +608,21 @@ function _bindConfigControls() {
    bindText("bme-setting-extract-prompt", (value) =>
        _updateSettings?.({ extractPrompt: value }),
    );
+    bindText("bme-setting-recall-prompt", (value) =>
+        _updateSettings?.({ recallPrompt: value }),
+    );
+    bindText("bme-setting-evolution-prompt", (value) =>
+        _updateSettings?.({ evolutionPrompt: value }),
+    );
+    bindText("bme-setting-compress-prompt", (value) =>
+        _updateSettings?.({ compressPrompt: value }),
+    );
+    bindText("bme-setting-synopsis-prompt", (value) =>
+        _updateSettings?.({ synopsisPrompt: value }),
+    );
+    bindText("bme-setting-reflection-prompt", (value) =>
+        _updateSettings?.({ reflectionPrompt: value }),
+    );
    bindText("bme-setting-panel-theme", (value) =>
        _updateSettings?.({ panelTheme: value }),
    );
--- a/retriever.js
+++ b/retriever.js
@@ -218,6 +218,7 @@ export async function retrieve({
      graph,
      schema,
      normalizedMaxRecallNodes,
+      options.recallPrompt,
    );
  } else {
    selectedNodeIds = scoredNodes
@@ -331,6 +332,7 @@ async function llmRecall(
  graph,
  schema,
  maxNodes,
+  customPrompt,
 ) {
  const contextStr = recentMessages.join("\n---\n");
  const candidateDescriptions = candidates
@@ -345,7 +347,7 @@ async function llmRecall(
    })
    .join("\n");

-  const systemPrompt = [
+  const systemPrompt = customPrompt || [
    "你是一个记忆召回分析器。",
    "根据用户最新输入和对话上下文，从候选记忆节点中选择最相关的节点。",
    "优先选择：(1) 直接相关的当前场景节点, (2) 因果关系连续性节点, (3) 有潜在影响的背景节点。",
--- a/style.css
+++ b/style.css
@@ -733,6 +733,38 @@
    font-family: 'Cascadia Code', 'Fira Code', monospace;
 }

+.bme-prompt-group {
+    margin-top: 8px;
+    border: 1px solid var(--bme-border);
+    border-radius: 6px;
+    overflow: hidden;
+}
+
+.bme-prompt-group summary {
+    padding: 8px 12px;
+    cursor: pointer;
+    font-size: 12px;
+    font-weight: 500;
+    color: var(--bme-on-surface);
+    background: var(--bme-surface-lowest);
+    user-select: none;
+    transition: background 0.15s;
+}
+
+.bme-prompt-group summary:hover {
+    background: var(--bme-surface-low);
+}
+
+.bme-prompt-group[open] summary {
+    border-bottom: 1px solid var(--bme-border);
+}
+
+.bme-prompt-group .bme-config-textarea {
+    border: none;
+    border-radius: 0;
+    min-height: 120px;
+}
+
 .bme-config-actions {
    display: flex;
    justify-content: flex-end;