feat(ai): add conversation history search

apps/desktop/src/components/editor/AiAssistant.vue

@@ -92,6 +92,7 @@ import { visibleToActualIndex } from "@/lib/ai/aiMessageEdit";
 import { shouldShowReasoningCharCount, reasoningCharCountClass } from "@/lib/ai/aiReasoningPresentation";
 import { saveTextFile } from "@/lib/export/saveTextFile";
 import { buildAiAnalysisExport } from "@/lib/export/aiAnalysisExport";
+import { buildAiConversationSearchIndex, filterAiConversationSearchIndex } from "@/lib/ai/aiConversationSearch";
 
 const { t } = useI18n();
 const settings = useSettingsStore();
@@ -178,6 +179,10 @@ watch(
 const currentSessionId = ref("");
 const conversationId = ref("");
 const conversations = ref<AiConversation[]>([]);
+const conversationSearchQuery = ref("");
+const conversationSearchInput = ref<HTMLInputElement | null>(null);
+const conversationSearchIndex = computed(() => buildAiConversationSearchIndex(conversations.value));
+const filteredConversations = computed(() => filterAiConversationSearchIndex(conversationSearchIndex.value, conversationSearchQuery.value));
 const showConversationList = ref(false);
 const showTemplateSelector = ref(false);
 const modeActionOpen = ref(false);
@@ -2021,7 +2026,12 @@ async function persistConversation() {
 
 async function setConversationListOpen(open: boolean) {
   showConversationList.value = open;
-  if (open) conversations.value = await loadAiConversations().catch(() => []);
+  if (open) {
+    conversationSearchQuery.value = "";
+    await nextTick();
+    conversationSearchInput.value?.focus();
+    conversations.value = await loadAiConversations().catch(() => []);
+  }
 }
 
 function selectConversation(conv: AiConversation) {
@@ -2220,11 +2230,29 @@ async function openExternalUrl(url: string) {
               <MessageSquarePlus class="h-3.5 w-3.5" />
             </Button>
           </div>
+          <div class="relative flex items-center border-b px-2 py-1">
+            <Search class="pointer-events-none absolute left-3 h-3 w-3 text-muted-foreground" />
+            <input
+              ref="conversationSearchInput"
+              v-model="conversationSearchQuery"
+              type="search"
+              :aria-label="t('history.conversationSearch')"
+              autocapitalize="off"
+              autocomplete="off"
+              autocorrect="off"
+              spellcheck="false"
+              class="h-5 w-full rounded border bg-transparent pl-5 pr-1 text-xs outline-none placeholder:text-muted-foreground"
+              :placeholder="t('history.conversationSearch')"
+            />
+          </div>
           <div v-if="!conversations.length" class="p-3 text-center text-xs text-muted-foreground">
             {{ t("history.empty") }}
           </div>
+          <div v-else-if="!filteredConversations.length" class="p-3 text-center text-xs text-muted-foreground">
+            {{ t("history.emptyConversationSearch") }}
+          </div>
           <div v-else class="max-h-64 overflow-auto p-1">
-            <div v-for="conv in conversations" :key="conv.id" class="flex min-w-0 cursor-pointer items-center gap-2 rounded-md px-2 py-1.5 text-xs hover:bg-muted" :class="{ 'bg-muted': conv.id === conversationId }" @click="selectConversation(conv)">
+            <div v-for="conv in filteredConversations" :key="conv.id" class="flex min-w-0 cursor-pointer items-center gap-2 rounded-md px-2 py-1.5 text-xs hover:bg-muted" :class="{ 'bg-muted': conv.id === conversationId }" @click="selectConversation(conv)">
               <span class="min-w-0 flex-1 truncate">{{ conv.title }}</span>
               <button class="shrink-0 rounded p-0.5 text-muted-foreground hover:bg-background hover:text-destructive" @click.stop="deleteConversation(conv.id)">
                 <X class="h-3 w-3" />

apps/desktop/src/i18n/locales/en.ts

@@ -4425,7 +4425,9 @@ export default {
   history: {
     title: "History",
     search: "Search history...",
+    conversationSearch: "Search conversations...",
     empty: "No history yet",
+    emptyConversationSearch: "No conversations match your search",
     emptyFilteredRecent: "No matching records in the latest 200 execution history entries",
     failed: "Failed",
     success: "Succeeded",

apps/desktop/src/i18n/locales/es.ts

@@ -4272,7 +4272,9 @@ export default withEnglishFallback({
   history: {
     title: "Historial",
     search: "Buscar en historial...",
+    conversationSearch: "Buscar conversaciones...",
     empty: "Sin historial aún",
+    emptyConversationSearch: "Ninguna conversación coincide con la búsqueda",
     emptyFilteredRecent: "No hay registros coincidentes en las últimas 200 entradas del historial de ejecución",
     failed: "Fallida",
     success: "Exitosa",

apps/desktop/src/i18n/locales/it.ts

@@ -4270,7 +4270,9 @@ export default withEnglishFallback({
   history: {
     title: "Cronologia",
     search: "Cerca nella cronologia...",
+    conversationSearch: "Cerca conversazioni...",
     empty: "Ancora nessuna cronologia",
+    emptyConversationSearch: "Nessuna conversazione corrisponde alla ricerca",
     emptyFilteredRecent: "Nessun record corrispondente nelle ultime 200 voci della cronologia di esecuzione",
     failed: "Non riuscita",
     success: "Riuscita",

apps/desktop/src/i18n/locales/ja.ts

@@ -4300,7 +4300,9 @@ export default withEnglishFallback({
   history: {
     title: "履歴",
     search: "履歴を検索...",
+    conversationSearch: "会話を検索...",
     empty: "まだ履歴がありません",
+    emptyConversationSearch: "検索に一致する会話はありません",
     emptyFilteredRecent: "最近 200 件の実行履歴に一致する記録はありません",
     failed: "失敗",
     success: "成功",

apps/desktop/src/i18n/locales/ko.ts

@@ -3929,7 +3929,9 @@ export default withEnglishFallback({
   history: {
     title: "기록",
     search: "기록 검색...",
+    conversationSearch: "대화 검색...",
     empty: "아직 기록이 없습니다",
+    emptyConversationSearch: "검색과 일치하는 대화가 없습니다",
     emptyFilteredRecent: "최근 200개의 실행 기록에서 일치하는 항목이 없습니다",
     failed: "실패",
     success: "성공",

apps/desktop/src/i18n/locales/pt-BR.ts

@@ -4272,7 +4272,9 @@ export default withEnglishFallback({
   history: {
     title: "Histórico",
     search: "Pesquisar histórico...",
+    conversationSearch: "Pesquisar conversas...",
     empty: "Nenhum histórico ainda",
+    emptyConversationSearch: "Nenhuma conversa corresponde à pesquisa",
     emptyFilteredRecent: "Nenhum registro correspondente nas 200 entradas mais recentes do histórico de execução",
     failed: "Falhou",
     success: "Concluído",

apps/desktop/src/i18n/locales/zh-CN.ts

@@ -4413,7 +4413,9 @@ export default withEnglishFallback({
   history: {
     title: "历史",
     search: "搜索历史...",
+    conversationSearch: "搜索历史会话...",
     empty: "暂无历史记录",
+    emptyConversationSearch: "没有匹配的历史会话",
     emptyFilteredRecent: "最近 200 条执行历史中没有匹配记录",
     failed: "失败",
     success: "成功",

apps/desktop/src/i18n/locales/zh-TW.ts

@@ -3616,7 +3616,9 @@ export default withEnglishFallback({
   history: {
     title: "歷史",
     search: "搜尋歷史……",
+    conversationSearch: "搜尋歷史會話……",
     empty: "暫無歷史記錄",
+    emptyConversationSearch: "沒有相符的歷史會話",
     emptyFilteredRecent: "最近 200 條執行歷史中沒有相符記錄",
     failed: "失敗",
     success: "成功",

apps/desktop/src/lib/ai/__tests__/aiConversationSearch.spec.ts

@@ -0,0 +1,46 @@
+import { describe, expect, it } from "vitest";
+import { buildAiConversationSearchIndex, filterAiConversationSearchIndex } from "@/lib/ai/aiConversationSearch";
+
+const conversations = [
+  {
+    id: "mysql-users",
+    title: "Repair user records",
+    connectionName: "dev-mysql",
+    database: "accounts",
+    messages: [
+      { role: "user", content: "How can I find duplicate email addresses?" },
+      { role: "assistant", content: "Use a GROUP BY query with HAVING COUNT(*) > 1." },
+    ],
+  },
+  {
+    id: "postgres-orders",
+    title: "订单排查",
+    connectionName: "prod-postgres",
+    database: "commerce",
+    messages: [{ role: "user", content: "查询昨天失败的订单" }],
+  },
+];
+
+describe("AI conversation search index", () => {
+  const index = buildAiConversationSearchIndex(conversations);
+
+  it("finds history by title, connection, database, or message text without case sensitivity", () => {
+    expect(filterAiConversationSearchIndex(index, "  REPAIR  ").map((conversation) => conversation.id)).toEqual(["mysql-users"]);
+    expect(filterAiConversationSearchIndex(index, "POSTGRES").map((conversation) => conversation.id)).toEqual(["postgres-orders"]);
+    expect(filterAiConversationSearchIndex(index, "ACCOUNTS").map((conversation) => conversation.id)).toEqual(["mysql-users"]);
+    expect(filterAiConversationSearchIndex(index, "duplicate EMAIL").map((conversation) => conversation.id)).toEqual(["mysql-users"]);
+    expect(filterAiConversationSearchIndex(index, "失败的订单").map((conversation) => conversation.id)).toEqual(["postgres-orders"]);
+  });
+
+  it("restores the complete history when the search is cleared", () => {
+    expect(filterAiConversationSearchIndex(index, "   ")).toEqual(conversations);
+  });
+
+  it("returns an empty history when no conversation matches", () => {
+    expect(filterAiConversationSearchIndex(index, "oracle")).toEqual([]);
+  });
+
+  it("precomputes normalized searchable text once per conversation", () => {
+    expect(index.map((entry) => entry.searchText)).toEqual(["repair user records\ndev-mysql\naccounts\nhow can i find duplicate email addresses?\nuse a group by query with having count(*) > 1.", "订单排查\nprod-postgres\ncommerce\n查询昨天失败的订单"]);
+  });
+});

apps/desktop/src/lib/ai/aiConversationSearch.ts

@@ -0,0 +1,25 @@
+export interface AiConversationSearchItem {
+  title: string;
+  connectionName: string;
+  database: string;
+  messages: readonly { content: string }[];
+}
+
+export interface AiConversationSearchEntry<T extends AiConversationSearchItem> {
+  conversation: T;
+  searchText: string;
+}
+
+export function buildAiConversationSearchIndex<T extends AiConversationSearchItem>(conversations: readonly T[]): AiConversationSearchEntry<T>[] {
+  return conversations.map((conversation) => ({
+    conversation,
+    searchText: [conversation.title, conversation.connectionName, conversation.database, ...conversation.messages.map((message) => message.content)].join("\n").toLowerCase(),
+  }));
+}
+
+export function filterAiConversationSearchIndex<T extends AiConversationSearchItem>(index: readonly AiConversationSearchEntry<T>[], query: string): T[] {
+  const normalizedQuery = query.trim().toLowerCase();
+  if (!normalizedQuery) return index.map((entry) => entry.conversation);
+
+  return index.filter((entry) => entry.searchText.includes(normalizedQuery)).map((entry) => entry.conversation);
+}