Replace profile feature with agent prompts

2026-07-01 12:06:23 +08:00
1 parent 74b623c63a
commit 7c8fe96446
@@ -98,7 +98,7 @@ packages/shared   共享类型、Zod schema、TipTap / Markdown 内容转换
 scripts           Wrangler 封装、密码 hash、CLI、MCP stdio bridge、Evernote ENEX 导入
 migrations        D1 数据库迁移
 docs              OpenAPI schema、迁移指南等文档
-wrangler.toml     Cloudflare Workers、Assets、D1、R2、Workers AI 配置
+wrangler.toml     Cloudflare Workers、Assets、D1、R2 配置
 ```

 ## 内容格式
@@ -26,8 +26,6 @@ import {
  type Resource,
  type ResourceListItem,
  type ResourceStorageSummary,
-  type ProfileSnapshot,
-  type ProfileSection,
  type TagSummary,
  type TiptapDoc,
 } from "@edgeever/shared";
@@ -41,12 +39,10 @@ import openApiSpec from "../../../docs/openapi.json";
 type Bindings = {
  DB: D1Database;
  RESOURCES: R2Bucket;
-  AI?: Ai;
  EDGE_EVER_AUTH_USERNAME?: string;
  EDGE_EVER_AUTH_PASSWORD_HASH?: string;
  EDGE_EVER_SESSION_TTL_DAYS?: string;
  EDGE_EVER_R2_BUCKET_NAME?: string;
-  EDGE_EVER_PROFILE_MODEL?: string;
 };

 type AuthContext = {
@@ -188,24 +184,6 @@ type ResourceStatsRow = {
  attachment_count: number;
 };

-type ProfileSnapshotRow = {
-  id: string;
-  profile_json: string;
-  source_memo_ids_json: string;
-  memo_count: number;
-  model: string;
-  generated_at: string;
-  created_at: string;
-};
-
-type ProfileSourceMemoRow = {
-  id: string;
-  title: string | null;
-  tags_json: string;
-  updated_at: string;
-  content_text: string;
-};
-
 type AppContext = Context<{ Bindings: Bindings; Variables: { auth: AuthContext } }>;

 const SESSION_COOKIE = "edgeever_session";
@@ -216,10 +194,6 @@ const PASSWORD_SALT_BYTES = 16;
 const SESSION_TOKEN_BYTES = 32;
 const DEFAULT_SESSION_TTL_DAYS = 30;
 const DEFAULT_R2_BUCKET_NAME = "edgeever-resources";
-const DEFAULT_PROFILE_MODEL = "@cf/zai-org/glm-5.2";
-const PROFILE_MEMO_LIMIT = 200;
-const PROFILE_MEMO_TEXT_LIMIT = 1200;
-const PROFILE_CHUNK_CHAR_LIMIT = 12000;
 const MAX_IMAGE_UPLOAD_BYTES = 100 * 1024 * 1024;
 const MAX_ATTACHMENT_UPLOAD_BYTES = 100 * 1024 * 1024;
 const REVISION_SNAPSHOT_INTERVAL_MS = 5 * 60 * 1000;
@@ -234,8 +208,6 @@ const ALL_TOKEN_SCOPES = [
  "write:resources",
  "read:tags",
  "write:tags",
-  "read:profile",
-  "write:profile",
 ] as const;
 type TokenScope = (typeof ALL_TOKEN_SCOPES)[number];
 const SUPPORTED_IMAGE_MIME_TYPES = new Set([
@@ -611,41 +583,6 @@ app.delete("/api/v1/tags/:tag", async (c) => {
  return c.json({ ok: true, updated });
 });

-app.get("/api/v1/profile", async (c) => {
-  const denied = requireScopes(c, "read:profile");
-
-  if (denied) {
-    return denied;
-  }
-
-  return c.json({ profile: await getLatestProfileSnapshot(c.env.DB) });
-});
-
-app.post("/api/v1/profile/generate", async (c) => {
-  const denied = requireScopes(c, "write:profile");
-
-  if (denied) {
-    return denied;
-  }
-
-  if (!c.env.AI) {
-    return apiError(c, "ai_not_configured", "Workers AI binding is not configured for this deployment.", 501);
-  }
-
-  const actor = getAuditActor(c);
-
-  try {
-    const profile = await generateProfileSnapshot(c.env.DB, c.env.AI, c.env.EDGE_EVER_PROFILE_MODEL, actor);
-    return c.json({ profile }, 201);
-  } catch (error) {
-    if (error instanceof AppError) {
-      return apiError(c, error.code, error.message, error.status);
-    }
-
-    throw error;
-  }
-});
-
 app.get("/api/v1/memos", async (c) => {
  const denied = requireScopes(c, "read:memos");

@@ -2590,332 +2527,6 @@ const mapTagSummary = (row: TagSummaryRow): TagSummary => ({
  updatedAt: row.updated_at,
 });

-const mapProfileSnapshot = (row: ProfileSnapshotRow): ProfileSnapshot => {
-  const profile = parseProfileJson(row.profile_json);
-
-  return {
-    id: row.id,
-    summary: profile.summary,
-    sections: profile.sections,
-    sourceMemoIds: parseJsonArray(row.source_memo_ids_json),
-    memoCount: row.memo_count,
-    model: row.model,
-    generatedAt: row.generated_at,
-    createdAt: row.created_at,
-  };
-};
-
-const getLatestProfileSnapshot = async (db: D1Database): Promise<ProfileSnapshot | null> => {
-  const row = await db
-    .prepare(
-      `SELECT id, profile_json, source_memo_ids_json, memo_count, model, generated_at, created_at
-       FROM profile_snapshots
-       ORDER BY created_at DESC
-       LIMIT 1`
-    )
-    .first<ProfileSnapshotRow>();
-
-  return row ? mapProfileSnapshot(row) : null;
-};
-
-const generateProfileSnapshot = async (
-  db: D1Database,
-  ai: Ai,
-  modelOverride: string | undefined,
-  actor: AuditActor
-): Promise<ProfileSnapshot> => {
-  const memos = await listProfileSourceMemos(db);
-
-  if (memos.length === 0) {
-    throw new AppError("no_profile_sources", "At least one non-empty memo is required to generate a profile.", 400);
-  }
-
-  const model = modelOverride?.trim() || DEFAULT_PROFILE_MODEL;
-  const chunks = chunkProfileMemos(memos);
-  const chunkSummaries: string[] = [];
-
-  for (let index = 0; index < chunks.length; index += 1) {
-    const summary = await runAiText(ai, model, [
-      {
-        role: "system",
-        content:
-          "你是一个谨慎的个人知识管理分析助手。只基于用户笔记做事实归纳，不做心理诊断，不使用夸张或确定性人格判断。",
-      },
-      {
-        role: "user",
-        content:
-          "请把下面这组笔记压缩成画像证据摘要。保留主题、项目、偏好、能力、反复出现的问题和可引用的 memo_id。输出中文，控制在 900 字以内。\n\n" +
-          chunks[index],
-      },
-    ]);
-    chunkSummaries.push(summary);
-  }
-
-  const profileText = await runAiText(ai, model, [
-    {
-      role: "system",
-      content:
-        "你是 EdgeEver 的人物画像生成器。必须输出严格 JSON，不要 Markdown。画像应可追溯、克制、尊重用户隐私。避免医学、心理诊断、职业定性和无法从笔记支持的结论。",
-    },
-    {
-      role: "user",
-      content:
-        `请基于这些证据摘要生成人物画像 JSON。可引用的 memo_id 只能来自证据摘要。JSON schema:
-{
-  "summary": "一段 80-160 字中文总览",
-  "sections": [
-    {
-      "title": "关注主题",
-      "insights": [
-        {
-          "label": "短标签",
-          "description": "基于笔记的克制描述",
-          "confidence": "low|medium|high",
-          "evidence": { "memoIds": ["memo_x"], "note": "为什么引用这些笔记" }
-        }
-      ]
-    }
-  ]
-}
-请包含 4-6 个 section，优先使用这些 section 名称：关注主题、项目脉络、能力画像、偏好与原则、行为模式、近期动向。每个 section 2-5 条 insight。不要虚构 memo_id。\n\n证据摘要：\n` +
-        chunkSummaries.map((summary, index) => `【证据摘要 ${index + 1}】\n${summary}`).join("\n\n"),
-    },
-  ]);
-
-  const profile = normalizeProfileOutput(profileText, memos.map((memo) => memo.id));
-  const id = createId("profile");
-  const now = isoNow();
-  const sourceMemoIds = Array.from(new Set(profile.sections.flatMap((section) => section.insights.flatMap((insight) => insight.evidence.memoIds))));
-  const finalSourceMemoIds = sourceMemoIds.length > 0 ? sourceMemoIds : memos.map((memo) => memo.id);
-
-  await db.batch([
-    db
-      .prepare(
-        `INSERT INTO profile_snapshots (
-          id, profile_json, source_memo_ids_json, memo_count, model, generated_at, created_at
-        ) VALUES (?, ?, ?, ?, ?, ?, ?)`
-      )
-      .bind(id, JSON.stringify(profile), JSON.stringify(finalSourceMemoIds), memos.length, model, now, now),
-    auditStatement(db, actor.actorType, actor.actorId, "profile.generate", "profile", id, {
-      memoCount: memos.length,
-      model,
-    }),
-  ]);
-
-  const row = await db
-    .prepare(
-      `SELECT id, profile_json, source_memo_ids_json, memo_count, model, generated_at, created_at
-       FROM profile_snapshots
-       WHERE id = ?`
-    )
-    .bind(id)
-    .first<ProfileSnapshotRow>();
-
-  if (!row) {
-    throw new AppError("not_found", "Profile snapshot not found after generation.", 404);
-  }
-
-  return mapProfileSnapshot(row);
-};
-
-const listProfileSourceMemos = async (db: D1Database): Promise<ProfileSourceMemoRow[]> => {
-  const rows = await db
-    .prepare(
-      `SELECT m.id, m.title, m.tags_json, m.updated_at, c.content_text
-       FROM memos m
-       INNER JOIN memo_contents c ON c.memo_id = m.id
-       WHERE m.is_deleted = 0
-         AND length(trim(c.content_text)) >= 20
-         AND m.created_by <> 'system'
-       ORDER BY m.updated_at DESC
-       LIMIT ?`
-    )
-    .bind(PROFILE_MEMO_LIMIT)
-    .all<ProfileSourceMemoRow>();
-
-  return rows.results;
-};
-
-const chunkProfileMemos = (memos: ProfileSourceMemoRow[]) => {
-  const chunks: string[] = [];
-  let current = "";
-
-  for (const memo of memos) {
-    const tags = parseJsonArray(memo.tags_json);
-    const text = memo.content_text.replace(/\s+/g, " ").trim().slice(0, PROFILE_MEMO_TEXT_LIMIT);
-    const entry = [
-      `memo_id: ${memo.id}`,
-      `title: ${memo.title || DEFAULT_MEMO_TITLE}`,
-      `updated_at: ${memo.updated_at}`,
-      `tags: ${tags.join(", ") || "无"}`,
-      `content: ${text}`,
-    ].join("\n");
-    const next = current ? `${current}\n\n---\n\n${entry}` : entry;
-
-    if (next.length > PROFILE_CHUNK_CHAR_LIMIT && current) {
-      chunks.push(current);
-      current = entry;
-    } else {
-      current = next;
-    }
-  }
-
-  if (current) {
-    chunks.push(current);
-  }
-
-  return chunks;
-};
-
-const runAiText = async (
-  ai: Ai,
-  model: string,
-  messages: { role: "system" | "user"; content: string }[]
-): Promise<string> => {
-  let result: unknown;
-
-  try {
-    result = await ai.run(model, {
-      messages,
-      max_tokens: 1800,
-      temperature: 0.2,
-    });
-  } catch (error) {
-    throw new AppError(
-      "ai_request_failed",
-      error instanceof Error ? `Workers AI request failed: ${error.message}` : "Workers AI request failed.",
-      502
-    );
-  }
-
-  const response = extractAiText(result);
-
-  if (!response) {
-    throw new AppError("ai_response_invalid", "Workers AI returned an empty response.", 502);
-  }
-
-  return response;
-};
-
-const extractAiText = (value: unknown) => {
-  if (typeof value === "string") {
-    return value.trim();
-  }
-
-  if (!value || typeof value !== "object") {
-    return "";
-  }
-
-  const record = value as Record<string, unknown>;
-
-  if (typeof record.response === "string") {
-    return record.response.trim();
-  }
-
-  if (typeof record.result === "string") {
-    return record.result.trim();
-  }
-
-  return "";
-};
-
-const normalizeProfileOutput = (text: string, allowedMemoIds: string[]) => {
-  const parsed = parseJsonObject(extractJsonObject(text));
-  const allowed = new Set(allowedMemoIds);
-  const summary = typeof parsed.summary === "string" ? parsed.summary.trim().slice(0, 360) : "";
-  const rawSections = Array.isArray(parsed.sections) ? parsed.sections : [];
-  const sections: ProfileSection[] = rawSections
-    .map((section) => normalizeProfileSection(section, allowed))
-    .filter((section): section is ProfileSection => Boolean(section));
-
-  if (!summary || sections.length === 0) {
-    throw new AppError("ai_response_invalid", "Workers AI returned a profile that could not be parsed.", 502);
-  }
-
-  return {
-    summary,
-    sections: sections.slice(0, 6),
-  };
-};
-
-const normalizeProfileSection = (value: unknown, allowedMemoIds: Set<string>): ProfileSection | null => {
-  if (!value || typeof value !== "object") {
-    return null;
-  }
-
-  const record = value as Record<string, unknown>;
-  const title = typeof record.title === "string" ? record.title.trim().slice(0, 40) : "";
-  const rawInsights = Array.isArray(record.insights) ? record.insights : [];
-  const insights = rawInsights
-    .map((insight) => normalizeProfileInsight(insight, allowedMemoIds))
-    .filter((insight): insight is ProfileSection["insights"][number] => Boolean(insight))
-    .slice(0, 5);
-
-  if (!title || insights.length === 0) {
-    return null;
-  }
-
-  return { title, insights };
-};
-
-const normalizeProfileInsight = (value: unknown, allowedMemoIds: Set<string>): ProfileSection["insights"][number] | null => {
-  if (!value || typeof value !== "object") {
-    return null;
-  }
-
-  const record = value as Record<string, unknown>;
-  const evidence = record.evidence && typeof record.evidence === "object" ? (record.evidence as Record<string, unknown>) : {};
-  const memoIds = (Array.isArray(evidence.memoIds) ? evidence.memoIds : [])
-    .filter((memoId): memoId is string => typeof memoId === "string" && allowedMemoIds.has(memoId))
-    .slice(0, 8);
-  const confidence = record.confidence === "low" || record.confidence === "high" ? record.confidence : "medium";
-  const label = typeof record.label === "string" ? record.label.trim().slice(0, 60) : "";
-  const description = typeof record.description === "string" ? record.description.trim().slice(0, 360) : "";
-
-  if (!label || !description) {
-    return null;
-  }
-
-  return {
-    label,
-    description,
-    confidence,
-    evidence: {
-      memoIds,
-      note: typeof evidence.note === "string" ? evidence.note.trim().slice(0, 160) : undefined,
-    },
-  };
-};
-
-const parseProfileJson = (json: string): Pick<ProfileSnapshot, "summary" | "sections"> => {
-  const value = parseJsonObject(json);
-  const summary = typeof value.summary === "string" ? value.summary : "";
-  const sections = Array.isArray(value.sections) ? (value.sections as ProfileSection[]) : [];
-  return { summary, sections };
-};
-
-const extractJsonObject = (text: string) => {
-  const fenced = /```(?:json)?\s*([\s\S]*?)```/i.exec(text);
-  const candidate = fenced?.[1] ?? text;
-  const start = candidate.indexOf("{");
-  const end = candidate.lastIndexOf("}");
-
-  if (start === -1 || end === -1 || end <= start) {
-    return candidate;
-  }
-
-  return candidate.slice(start, end + 1);
-};
-
-const parseJsonObject = (json: string): Record<string, unknown> => {
-  try {
-    const value = JSON.parse(json);
-    return value && typeof value === "object" && !Array.isArray(value) ? (value as Record<string, unknown>) : {};
-  } catch {
-    return {};
-  }
-};
-
 const getApiTokenRow = async (db: D1Database, id: string): Promise<ApiTokenRow | null> =>
  db
    .prepare(
@@ -1,14 +1,14 @@
 import { useEffect, useState, type FormEvent } from "react";
 import { useMutation, useQuery, useQueryClient } from "@tanstack/react-query";
-import { Brain, ChevronLeft, Copy, HelpCircle, Image, KeyRound, LogOut, Plus, RefreshCw, ShieldCheck, Sparkles, Trash2, UploadCloud, User } from "lucide-react";
-import type { ApiToken, AuthUser, ProfileSnapshot } from "@edgeever/shared";
+import { ChevronDown, ChevronLeft, Copy, HelpCircle, Image, KeyRound, LogOut, Plus, ShieldCheck, Sparkles, Trash2, UploadCloud, User } from "lucide-react";
+import type { ApiToken, AuthUser } from "@edgeever/shared";
 import { Button } from "@/components/ui/button";
 import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card";
 import { Checkbox } from "@/components/ui/checkbox";
 import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog";
 import { Input } from "@/components/ui/input";
 import { Switch } from "@/components/ui/switch";
-import { ApiRequestError, api } from "@/lib/api";
+import { api } from "@/lib/api";
 import { EVERNOTE_MIGRATION_PATH } from "@/lib/routes";
 import { cn, formatDateTime } from "@/lib/utils";
 import { AppConfirmDialog } from "./dialogs/ConfirmDialogs";
@@ -22,8 +22,6 @@ const ALL_TOKEN_SCOPES = [
  "write:resources",
  "read:tags",
  "write:tags",
-  "read:profile",
-  "write:profile",
 ];

 const TOKEN_SCOPE_LABELS: Record<string, string> = {
@@ -35,8 +33,6 @@ const TOKEN_SCOPE_LABELS: Record<string, string> = {
  "write:resources": "上传与修改附件",
  "read:tags": "读取标签",
  "write:tags": "创建与修改标签",
-  "read:profile": "读取人物画像",
-  "write:profile": "生成人物画像",
 };

 const getTokenScopeLabel = (scope: string) => TOKEN_SCOPE_LABELS[scope] ?? scope;
@@ -134,125 +130,100 @@ const PreferenceCard = ({ imageCompressionEnabled, onImageCompressionChange }: P
  </Card>
 );

-interface PersonaProfileCardProps {
-  profile: ProfileSnapshot | null;
-  isLoading: boolean;
-  isGenerating: boolean;
-  errorMessage?: string;
-  onGenerate: () => void;
-}
+const ADVANCED_PROMPTS = [
+  {
+    title: "人物画像",
+    prompt:
+      "请通过 EdgeEver MCP 读取我的笔记，基于真实笔记内容为我整理一份人物画像。请只根据笔记中的证据判断，不要做心理诊断，不要夸张定性。输出包括：长期关注的主题、做事偏好、能力线索、反复出现的问题、近期动向，并在每条结论后列出相关笔记标题或 memo id。",
+  },
+  {
+    title: "近期复盘",
+    prompt:
+      "请通过 EdgeEver MCP 读取我最近更新的笔记，帮我做一次近期复盘。请总结我最近在推进什么、卡在哪里、有哪些反复出现的想法、哪些事情值得继续跟进，最后给出一份简短的下一步行动清单。",
+  },
+  {
+    title: "项目整理",
+    prompt:
+      "请通过 EdgeEver MCP 读取我的笔记，找出其中和项目、产品、代码、计划相关的内容。请按项目归类，整理每个项目的目标、当前进展、待办事项、风险和相关笔记来源。不要改动我的笔记，只输出整理结果。",
+  },
+  {
+    title: "知识地图",
+    prompt:
+      "请通过 EdgeEver MCP 读取我的笔记，为我整理一份知识地图。请找出主要知识领域、每个领域下的关键概念、相关笔记、我已经掌握的部分和还需要补齐的问题。输出结构要适合后续继续学习和写作。",
+  },
+  {
+    title: "标签建议",
+    prompt:
+      "请通过 EdgeEver MCP 读取我的笔记和现有标签，帮我设计一套更清晰的标签体系。请指出重复、过细、过宽或命名不一致的标签，并给出合并、重命名和新增标签建议。先不要修改笔记，等我确认后再执行。",
+  },
+] as const;

-const confidenceLabel: Record<ProfileSnapshot["sections"][number]["insights"][number]["confidence"], string> = {
-  low: "线索较弱",
-  medium: "有一定依据",
-  high: "依据较多",
-};
+const AdvancedPlayCard = () => {
+  const [copiedPrompt, setCopiedPrompt] = useState<string | null>(null);
+  const [expanded, setExpanded] = useState(false);

-const getProfileErrorMessage = (error: unknown) => {
-  if (!error) {
-    return undefined;
-  }
-
-  if (error instanceof ApiRequestError) {
-    if (error.code === "ai_request_failed") {
-      return "生成失败了，请稍后再试。";
+  const handleCopyPrompt = async (title: string, prompt: string) => {
+    if (!(await copyTextToClipboard(prompt))) {
+      return;
    }

-    if (error.code === "ai_not_configured") {
-      return "生成功能暂时不可用。";
-    }
+    setCopiedPrompt(title);
+    window.setTimeout(() => {
+      setCopiedPrompt((current) => (current === title ? null : current));
+    }, 1600);
+  };

-    if (error.code === "no_profile_sources") {
-      return "还没有足够的有效笔记用于生成人物画像。";
-    }
-  }
-
-  return error instanceof Error ? error.message : "人物画像请求失败。";
-};
-
-const PersonaProfileCard = ({ profile, isLoading, isGenerating, errorMessage, onGenerate }: PersonaProfileCardProps) => (
-  <Card className="w-full min-w-0 overflow-hidden shadow-none">
-    <CardHeader className="p-4">
-      <div className="flex flex-col gap-3 sm:flex-row sm:items-start sm:justify-between">
-        <div className="min-w-0">
-          <CardTitle className="flex items-center gap-2 text-sm">
-            <Brain className="h-4 w-4 text-emerald-700" />
-            人物画像
-          </CardTitle>
-          <CardDescription className="mt-1 text-xs leading-4">
-            基于现有笔记手动生成，结果会缓存为快照。
-          </CardDescription>
-        </div>
-        <Button
-          size="sm"
-          variant="solid"
-          className="h-8 w-full whitespace-nowrap bg-emerald-600 text-white hover:bg-emerald-700 sm:w-auto"
+  return (
+    <Card className="w-full min-w-0 overflow-hidden shadow-none">
+      <CardHeader className="p-4">
+        <button
+          className="flex w-full min-w-0 items-start justify-between gap-3 text-left"
          type="button"
-          disabled={isGenerating || isLoading}
-          onClick={onGenerate}
+          aria-expanded={expanded}
+          onClick={() => setExpanded((current) => !current)}
        >
-          {isGenerating ? <RefreshCw className="h-3.5 w-3.5 animate-spin" /> : <Sparkles className="h-3.5 w-3.5" />}
-          {profile ? "重新生成" : "生成画像"}
-        </Button>
-      </div>
-    </CardHeader>
-    <CardContent className="space-y-4 p-4 pt-0">
-      {errorMessage && (
-        <div className="rounded-lg border border-amber-200 bg-amber-50 px-3 py-2 text-xs font-medium leading-5 text-amber-900">
-          {errorMessage}
-        </div>
-      )}
-
-      {isLoading ? (
-        <div className="rounded-lg border border-dashed border-slate-200 px-4 py-8 text-center text-sm text-slate-400">
-          正在读取画像快照...
-        </div>
-      ) : profile ? (
-        <div className="space-y-4">
-          <div className="rounded-lg border border-emerald-100 bg-emerald-50/60 p-3">
-            <p className="text-sm font-medium leading-6 text-slate-800">{profile.summary}</p>
-            <div className="mt-3 flex flex-wrap gap-2 text-[11px] font-semibold text-emerald-800">
-              <span className="rounded-md bg-white px-2 py-1">分析笔记 {profile.memoCount} 条</span>
-              <span className="rounded-md bg-white px-2 py-1">{formatDateTime(profile.generatedAt)}</span>
-              <span className="max-w-full truncate rounded-md bg-white px-2 py-1" title={profile.model}>
-                {profile.model}
-              </span>
-            </div>
-          </div>
-          <div className="grid gap-3 lg:grid-cols-2">
-            {profile.sections.map((section) => (
-              <div key={section.title} className="rounded-lg border border-slate-200 bg-white p-3">
-                <h3 className="text-sm font-bold text-slate-900">{section.title}</h3>
-                <div className="mt-3 space-y-3">
-                  {section.insights.map((insight) => (
-                    <div key={`${section.title}-${insight.label}`} className="border-t border-slate-100 pt-3 first:border-t-0 first:pt-0">
-                      <div className="flex items-start justify-between gap-3">
-                        <div className="min-w-0 text-sm font-semibold text-slate-800">{insight.label}</div>
-                        <span className="shrink-0 rounded-md bg-slate-100 px-2 py-0.5 text-[11px] font-semibold text-slate-500">
-                          {confidenceLabel[insight.confidence]}
-                        </span>
-                      </div>
-                      <p className="mt-1 text-xs leading-5 text-slate-600">{insight.description}</p>
-                      {insight.evidence.memoIds.length > 0 && (
-                        <div className="mt-2 text-[11px] font-medium text-slate-400">
-                          来源 {insight.evidence.memoIds.length} 条笔记
-                        </div>
-                      )}
-                    </div>
-                  ))}
-                </div>
+          <span className="min-w-0">
+            <CardTitle className="flex items-center gap-2 text-sm">
+              <Sparkles className="h-4 w-4 text-emerald-700" />
+              进阶玩法
+            </CardTitle>
+            <CardDescription className="mt-1 text-xs leading-4">
+              搭配AI Agent的进阶玩法。
+            </CardDescription>
+          </span>
+          <ChevronDown
+            className={cn(
+              "mt-0.5 h-4 w-4 shrink-0 text-slate-400 transition-transform",
+              expanded ? "rotate-180" : "rotate-0"
+            )}
+          />
+        </button>
+      </CardHeader>
+      {expanded && (
+        <CardContent className="grid gap-3 p-4 pt-0">
+          {ADVANCED_PROMPTS.map((item) => (
+            <div key={item.title} className="rounded-lg border border-slate-200 bg-white p-3">
+              <div className="flex flex-col gap-2 sm:flex-row sm:items-center sm:justify-between">
+                <div className="text-sm font-bold text-slate-900">{item.title}</div>
+                <Button
+                  size="sm"
+                  variant="outline"
+                  className="h-8 w-full justify-center bg-white px-3 text-xs sm:w-auto"
+                  type="button"
+                  onClick={() => void handleCopyPrompt(item.title, item.prompt)}
+                >
+                  <Copy className="h-3.5 w-3.5" />
+                  {copiedPrompt === item.title ? "已复制" : "复制 Prompt"}
+                </Button>
              </div>
-            ))}
-          </div>
-        </div>
-      ) : (
-        <div className="rounded-lg border border-dashed border-slate-200 px-4 py-8 text-center">
-          <div className="text-sm font-semibold text-slate-700">还没有人物画像快照</div>
-        </div>
+              <p className="mt-2 text-xs leading-5 text-slate-500">{item.prompt}</p>
+            </div>
+          ))}
+        </CardContent>
      )}
-    </CardContent>
-  </Card>
-);
+    </Card>
+  );
+};

 interface EvernoteImportGuideCardProps {
  onShowGuide?: () => void;
@@ -454,40 +425,72 @@ interface ScopePickerProps {
 }

 const ScopePicker = ({ availableScopes, selectedScopes, onToggleScope }: ScopePickerProps) => (
-  <div className="space-y-2">
-    <span className="block text-xs font-semibold text-slate-500">Token 权限范围</span>
-    <div className="grid gap-2 sm:grid-cols-2">
-      {availableScopes.map((scope) => {
-        const checked = selectedScopes.has(scope);
-        const checkboxId = `token-scope-${scope.replace(/[^a-z0-9]+/gi, "-")}`;
-
-        return (
-          <label
-            key={scope}
-            htmlFor={checkboxId}
-            className={cn(
-              "flex min-h-10 cursor-pointer items-center gap-3 rounded-lg border px-3 py-2 transition-colors",
-              checked
-                ? "border-emerald-500/30 bg-emerald-50/70 text-emerald-800"
-                : "border-slate-200 bg-white text-slate-600 hover:bg-slate-50"
-            )}
-          >
-            <Checkbox
-              id={checkboxId}
-              checked={checked}
-              onCheckedChange={() => onToggleScope(scope)}
-              className="border-emerald-300"
-            />
-            <span className="min-w-0 truncate text-xs font-semibold" title={scope}>
-              {getTokenScopeLabel(scope)}
-            </span>
-          </label>
-        );
-      })}
-    </div>
-  </div>
+  <ScopePickerContent
+    availableScopes={availableScopes}
+    selectedScopes={selectedScopes}
+    onToggleScope={onToggleScope}
+  />
 );

+const ScopePickerContent = ({ availableScopes, selectedScopes, onToggleScope }: ScopePickerProps) => {
+  const [expanded, setExpanded] = useState(false);
+
+  return (
+    <div className="rounded-lg border border-slate-200 bg-white">
+      <button
+        className="flex min-h-11 w-full items-center justify-between gap-3 px-3 py-2 text-left"
+        type="button"
+        aria-expanded={expanded}
+        onClick={() => setExpanded((current) => !current)}
+      >
+        <span className="min-w-0">
+          <span className="block text-xs font-semibold text-slate-700">Token 权限范围</span>
+          <span className="mt-0.5 block text-[11px] font-medium text-slate-400">
+            已选择 {selectedScopes.size}/{availableScopes.length}
+          </span>
+        </span>
+        <ChevronDown
+          className={cn(
+            "h-4 w-4 shrink-0 text-slate-400 transition-transform",
+            expanded ? "rotate-180" : "rotate-0"
+          )}
+        />
+      </button>
+      {expanded && (
+        <div className="grid gap-2 border-t border-slate-100 p-3 sm:grid-cols-2">
+          {availableScopes.map((scope) => {
+            const checked = selectedScopes.has(scope);
+            const checkboxId = `token-scope-${scope.replace(/[^a-z0-9]+/gi, "-")}`;
+
+            return (
+              <label
+                key={scope}
+                htmlFor={checkboxId}
+                className={cn(
+                  "flex min-h-10 cursor-pointer items-center gap-3 rounded-lg border px-3 py-2 transition-colors",
+                  checked
+                    ? "border-emerald-500/30 bg-emerald-50/70 text-emerald-800"
+                    : "border-slate-200 bg-white text-slate-600 hover:bg-slate-50"
+                )}
+              >
+                <Checkbox
+                  id={checkboxId}
+                  checked={checked}
+                  onCheckedChange={() => onToggleScope(scope)}
+                  className="border-emerald-300"
+                />
+                <span className="min-w-0 truncate text-xs font-semibold" title={scope}>
+                  {getTokenScopeLabel(scope)}
+                </span>
+              </label>
+            );
+          })}
+        </div>
+      )}
+    </div>
+  );
+};
+
 interface TokenListProps {
  tokens: ApiToken[];
  isLoading: boolean;
@@ -732,14 +735,8 @@ export const SettingsPane = ({
    queryFn: () => api.listApiTokens(),
  });

-  const profileQuery = useQuery({
-    queryKey: ["profile"],
-    queryFn: () => api.getProfile(),
-  });
-
  const availableScopes = tokensQuery.data?.availableScopes ?? ALL_TOKEN_SCOPES;
  const tokens = tokensQuery.data?.apiTokens ?? [];
-  const profile = profileQuery.data?.profile ?? null;

  useEffect(() => {
    if (scopeDefaultsSynced || !tokensQuery.data?.availableScopes) {
@@ -767,14 +764,6 @@ export const SettingsPane = ({
    },
  });

-  const generateProfileMutation = useMutation({
-    mutationFn: api.generateProfile,
-    onSuccess: async (data) => {
-      queryClient.setQueryData(["profile"], data);
-      await queryClient.invalidateQueries({ queryKey: ["profile"] });
-    },
-  });
-
  const toggleScope = (scope: string) => {
    setSelectedScopes((current) => {
      const next = new Set(current);
@@ -829,13 +818,7 @@ export const SettingsPane = ({
            imageCompressionEnabled={imageCompressionEnabled}
            onImageCompressionChange={onImageCompressionChange}
          />
-          <PersonaProfileCard
-            profile={profile}
-            isLoading={profileQuery.isLoading}
-            isGenerating={generateProfileMutation.isPending}
-            errorMessage={getProfileErrorMessage(generateProfileMutation.error ?? profileQuery.error)}
-            onGenerate={() => generateProfileMutation.mutate()}
-          />
+          <AdvancedPlayCard />
          <EvernoteImportGuideCard onShowGuide={onShowGuide} />
          <TokenCard
            name={name}
@@ -6,7 +6,6 @@ import type {
  MemoRevision,
  MemoSummary,
  Notebook,
-  ProfileSnapshot,
  Resource,
  ResourceListItem,
  ResourceStorageSummary,
@@ -35,10 +34,6 @@ type ListTagsResponse = {
  tags: TagSummary[];
 };

-type ProfileResponse = {
-  profile: ProfileSnapshot | null;
-};
-
 type ListApiTokensResponse = {
  apiTokens: ApiToken[];
  availableScopes: string[];
@@ -146,14 +141,6 @@ export const api = {
      method: "DELETE",
    }),

-  getProfile: () => request<ProfileResponse>("/api/v1/profile"),
-
-  generateProfile: () =>
-    request<ProfileResponse>("/api/v1/profile/generate", {
-      method: "POST",
-      body: JSON.stringify({}),
-    }),
-
  listApiTokens: () => request<ListApiTokensResponse>("/api/v1/api-tokens"),

  createApiToken: (payload: { name: string; scopes: string[]; expiresAt?: string | null }) =>
@@ -273,43 +273,6 @@
        }
      }
    },
-    "/api/v1/profile": {
-      "get": {
-        "summary": "Read latest generated profile snapshot",
-        "responses": {
-          "200": {
-            "description": "Latest profile snapshot",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "$ref": "#/components/schemas/ProfileResponse"
-                }
-              }
-            }
-          }
-        }
-      }
-    },
-    "/api/v1/profile/generate": {
-      "post": {
-        "summary": "Generate a profile snapshot with Workers AI",
-        "responses": {
-          "201": {
-            "description": "Generated profile snapshot",
-            "content": {
-              "application/json": {
-                "schema": {
-                  "$ref": "#/components/schemas/ProfileResponse"
-                }
-              }
-            }
-          },
-          "501": {
-            "$ref": "#/components/responses/Error"
-          }
-        }
-      }
-    },
    "/api/v1/api-tokens": {
      "get": {
        "summary": "List API tokens",
@@ -1396,109 +1359,6 @@
        },
        "required": ["name"]
      },
-      "ProfileResponse": {
-        "type": "object",
-        "properties": {
-          "profile": {
-            "oneOf": [
-              {
-                "$ref": "#/components/schemas/ProfileSnapshot"
-              },
-              {
-                "type": "null"
-              }
-            ]
-          }
-        },
-        "required": ["profile"]
-      },
-      "ProfileSnapshot": {
-        "type": "object",
-        "properties": {
-          "id": {
-            "type": "string"
-          },
-          "summary": {
-            "type": "string"
-          },
-          "sections": {
-            "type": "array",
-            "items": {
-              "$ref": "#/components/schemas/ProfileSection"
-            }
-          },
-          "sourceMemoIds": {
-            "type": "array",
-            "items": {
-              "type": "string"
-            }
-          },
-          "memoCount": {
-            "type": "integer"
-          },
-          "model": {
-            "type": "string"
-          },
-          "generatedAt": {
-            "type": "string",
-            "format": "date-time"
-          },
-          "createdAt": {
-            "type": "string",
-            "format": "date-time"
-          }
-        },
-        "required": ["id", "summary", "sections", "sourceMemoIds", "memoCount", "model", "generatedAt", "createdAt"]
-      },
-      "ProfileSection": {
-        "type": "object",
-        "properties": {
-          "title": {
-            "type": "string"
-          },
-          "insights": {
-            "type": "array",
-            "items": {
-              "$ref": "#/components/schemas/ProfileInsight"
-            }
-          }
-        },
-        "required": ["title", "insights"]
-      },
-      "ProfileInsight": {
-        "type": "object",
-        "properties": {
-          "label": {
-            "type": "string"
-          },
-          "description": {
-            "type": "string"
-          },
-          "confidence": {
-            "type": "string",
-            "enum": ["low", "medium", "high"]
-          },
-          "evidence": {
-            "$ref": "#/components/schemas/ProfileEvidence"
-          }
-        },
-        "required": ["label", "description", "confidence", "evidence"]
-      },
-      "ProfileEvidence": {
-        "type": "object",
-        "properties": {
-          "memoIds": {
-            "type": "array",
-            "items": {
-              "type": "string"
-            }
-          },
-          "note": {
-            "type": "string"
-          }
-        },
-        "required": ["memoIds"]
-      },
      "ApiToken": {
        "type": "object",
        "properties": {
@@ -1,12 +0,0 @@
-CREATE TABLE profile_snapshots (
-  id TEXT PRIMARY KEY,
-  profile_json TEXT NOT NULL CHECK (json_valid(profile_json)),
-  source_memo_ids_json TEXT NOT NULL DEFAULT '[]' CHECK (json_valid(source_memo_ids_json)),
-  memo_count INTEGER NOT NULL DEFAULT 0 CHECK (memo_count >= 0),
-  model TEXT NOT NULL,
-  generated_at TEXT NOT NULL,
-  created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%fZ', 'now'))
-);
-
-CREATE INDEX idx_profile_snapshots_created
-  ON profile_snapshots(created_at DESC);
@@ -0,0 +1 @@
+DROP TABLE IF EXISTS profile_snapshots;
@@ -104,34 +104,6 @@ export type TagSummary = {
  updatedAt: string | null;
 };

-export type ProfileEvidence = {
-  memoIds: string[];
-  note?: string;
-};
-
-export type ProfileInsight = {
-  label: string;
-  description: string;
-  confidence: "low" | "medium" | "high";
-  evidence: ProfileEvidence;
-};
-
-export type ProfileSection = {
-  title: string;
-  insights: ProfileInsight[];
-};
-
-export type ProfileSnapshot = {
-  id: string;
-  summary: string;
-  sections: ProfileSection[];
-  sourceMemoIds: string[];
-  memoCount: number;
-  model: string;
-  generatedAt: string;
-  createdAt: string;
-};
-
 export type AuthUser = {
  id: string;
  username: string;
@@ -20,8 +20,5 @@ binding = "RESOURCES"
 bucket_name = "edgeever-resources"
 preview_bucket_name = "edgeever-resources-preview"

-[ai]
-binding = "AI"
-
 [observability]
 enabled = true