release: v0.1.2

merge old config
2026-10-04 02:52:55 +08:00 · 2026-08-26 15:56:02 +08:00 · 2026-08-26 15:50:53 +08:00 · 2026-08-26 15:46:11 +08:00 · 2026-08-26 01:51:00 +08:00 · 2026-08-26 01:49:15 +08:00
105 changed files with 5619 additions and 3922 deletions
@@ -1128,7 +1128,7 @@ checksum = "52560adf09603e58c9a7ee1fe1dcb95a16927b17c127f0ac02d6e768a0e25bc1"

 [[package]]
 name = "cursor-byok-desktop"
-version = "0.1.0-beta.10"
+version = "0.1.2"
 dependencies = [
 "axum",
 "cursor-server",
@@ -1183,6 +1183,7 @@ dependencies = [
 "semble-core",
 "serde",
 "serde_json",
+ "serde_yaml",
 "sha1 0.10.7",
 "sha2",
 "similar",
@@ -5661,6 +5662,19 @@ dependencies = [
 "syn 2.0.119",
 ]

+[[package]]
+name = "serde_yaml"
+version = "0.9.34+deprecated"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6a8b1a1a2ebf674015cc02edccce75287f1a0130d394307b36743c2f5d504b47"
+dependencies = [
+ "indexmap 2.14.0",
+ "itoa",
+ "ryu",
+ "serde",
+ "unsafe-libyaml",
+]
+
 [[package]]
 name = "serialize-to-javascript"
 version = "0.1.2"
@@ -7487,6 +7501,12 @@ version = "0.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "39ec24b3121d976906ece63c9daad25b85969647682eee313cb5779fdd69e14e"

+[[package]]
+name = "unsafe-libyaml"
+version = "0.2.11"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "673aac59facbab8a9007c7f6108d11f63b603f7cabff99fabf650fea5c32b861"
+
 [[package]]
 name = "untrusted"
 version = "0.7.1"
@@ -1,12 +1,12 @@
 {
  "name": "cursor-byok-desktop",
-  "version": "0.1.0-beta.10",
+  "version": "0.1.2",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "cursor-byok-desktop",
-      "version": "0.1.0-beta.10",
+      "version": "0.1.2",
      "license": "MIT",
      "dependencies": {
        "@floating-ui/dom": "^1.8.0",
@@ -27,6 +27,7 @@
        "react-chartjs-2": "^5.3.1",
        "react-dom": "^19.2.8",
        "react-router-dom": "^7.18.2",
+        "sortablejs": "^1.15.7",
        "zrender": "^6.1.0"
      },
      "devDependencies": {
@@ -37,6 +38,7 @@
        "@types/node": "^26.1.2",
        "@types/react": "^19.2.18",
        "@types/react-dom": "^19.2.4",
+        "@types/sortablejs": "^1.15.9",
        "@vitejs/plugin-react": "^6.0.5",
        "code-inspector-plugin": "^1.6.6",
        "concurrently": "^9.2.1",
@@ -1293,6 +1295,13 @@
        "@types/react": "^19.2.0"
      }
    },
+    "node_modules/@types/sortablejs": {
+      "version": "1.15.9",
+      "resolved": "https://registry.npmjs.org/@types/sortablejs/-/sortablejs-1.15.9.tgz",
+      "integrity": "sha512-7HP+rZGE2p886PKV9c9OJzLBI6BBJu1O7lJGYnPyG3fS4/duUCcngkNCjsLwIMV+WMqANe3tt4irrXHSIe68OQ==",
+      "dev": true,
+      "license": "MIT"
+    },
    "node_modules/@types/trusted-types": {
      "version": "2.0.7",
      "resolved": "https://registry.npmjs.org/@types/trusted-types/-/trusted-types-2.0.7.tgz",
@@ -3185,6 +3194,12 @@
        "url": "https://github.com/sponsors/ljharb"
      }
    },
+    "node_modules/sortablejs": {
+      "version": "1.15.7",
+      "resolved": "https://registry.npmjs.org/sortablejs/-/sortablejs-1.15.7.tgz",
+      "integrity": "sha512-Kk8wLQPlS+yi1ZEf48a4+fzHa4yxjC30M/Sr2AnQu+f/MPwvvX9XjZ6OWejiz8crBsLwSq8GHqaxaET7u6ux0A==",
+      "license": "MIT"
+    },
    "node_modules/source-map-js": {
      "version": "1.2.1",
      "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz",
@@ -1,6 +1,6 @@
 {
  "name": "cursor-byok-desktop",
-  "version": "0.1.0-beta.10",
+  "version": "0.1.2",
  "description": "Cursor BYOK desktop management application",
  "type": "module",
  "scripts": {
@@ -37,6 +37,7 @@
    "react-chartjs-2": "^5.3.1",
    "react-dom": "^19.2.8",
    "react-router-dom": "^7.18.2",
+    "sortablejs": "^1.15.7",
    "zrender": "^6.1.0"
  },
  "devDependencies": {
@@ -47,6 +48,7 @@
    "@types/node": "^26.1.2",
    "@types/react": "^19.2.18",
    "@types/react-dom": "^19.2.4",
+    "@types/sortablejs": "^1.15.9",
    "@vitejs/plugin-react": "^6.0.5",
    "code-inspector-plugin": "^1.6.6",
    "concurrently": "^9.2.1",
@@ -1,6 +1,6 @@
 [package]
 name = "cursor-byok-desktop"
-version = "0.1.0-beta.10"
+version = "0.1.2"
 edition = "2021"
 publish = false

@@ -15,7 +15,7 @@ use axum::{
 };
 use tauri::{
    async_runtime::JoinHandle, webview::Color, AppHandle, Manager, RunEvent, WebviewUrl,
-    WebviewWindowBuilder,
+    WebviewWindow, WebviewWindowBuilder,
 };
 use tauri_plugin_opener::OpenerExt;
 use tokio_util::sync::CancellationToken;
@@ -30,6 +30,7 @@ use crate::frontend;
 use crate::tray;

 pub(crate) const MAIN_WINDOW_LABEL: &str = "main";
+const AUTOSTART_ARG: &str = "--autostart";

 struct DesktopRuntime {
    shutdown: CancellationToken,
@@ -52,12 +53,30 @@ fn open_terminal_with_command(command: String) -> tauri::Result<()> {
            .spawn()?;
        Ok(())
    }
-    #[cfg(not(any(target_os = "macos", target_os = "windows")))]
+    #[cfg(target_os = "linux")]
    {
-        let _ = command;
+        const TERMINALS: &[(&str, &[&str])] = &[
+            ("x-terminal-emulator", &["-e"]),
+            ("gnome-terminal", &["--"]),
+            ("konsole", &["-e"]),
+            ("xfce4-terminal", &["--execute"]),
+            ("alacritty", &["-e"]),
+            ("kitty", &[]),
+        ];
+        let script = format!("{command}; exec bash");
+        for (terminal, separator) in TERMINALS {
+            let mut process = Command::new(terminal);
+            process.args(*separator);
+            process.arg("bash").arg("-c").arg(&script);
+            match process.spawn() {
+                Ok(_) => return Ok(()),
+                Err(error) if error.kind() == std::io::ErrorKind::NotFound => continue,
+                Err(error) => return Err(error.into()),
+            }
+        }
        Err(tauri::Error::from(std::io::Error::new(
-            std::io::ErrorKind::Unsupported,
-            "terminal guidance is unsupported on this platform",
+            std::io::ErrorKind::NotFound,
+            "no supported terminal emulator found",
        )))
    }
 }
@@ -96,7 +115,10 @@ fn desktop_api_router(app: AppHandle) -> Router {
        .layer(Extension(app))
 }

-fn create_main_window(app: &AppHandle, address: std::net::SocketAddr) -> tauri::Result<()> {
+fn create_main_window(
+    app: &AppHandle,
+    address: std::net::SocketAddr,
+) -> tauri::Result<WebviewWindow> {
    let url = format!("http://{address}/__byok-api__/")
        .parse()
        .expect("local frontend URL");
@@ -108,18 +130,20 @@ fn create_main_window(app: &AppHandle, address: std::net::SocketAddr) -> tauri::
        .background_color(Color(20, 20, 20, 255))
        .decorations(cfg!(target_os = "macos"))
        .shadow(true)
-        .resizable(true);
+        .resizable(true)
+        .visible(false);

    #[cfg(target_os = "macos")]
    let builder = builder
        .title_bar_style(tauri::TitleBarStyle::Overlay)
        .hidden_title(true);

-    builder.build()?;
-    Ok(())
+    builder.build()
 }

 pub fn run() {
+    let started_by_autostart = std::env::args_os().any(|arg| arg == AUTOSTART_ARG);
+
    tracing_subscriber::registry()
        .with(
            tracing_subscriber::EnvFilter::try_from_default_env()
@@ -130,17 +154,19 @@ pub fn run() {

    let app = tauri::Builder::default()
        .invoke_handler(tauri::generate_handler![open_terminal_with_command])
-        .plugin(tauri_plugin_single_instance::init(|app, _, _| {
-            tray::show_main_window(app);
+        .plugin(tauri_plugin_single_instance::init(|app, args, _| {
+            if !args.iter().any(|arg| arg == AUTOSTART_ARG) {
+                tray::show_main_window(app);
+            }
        }))
        .plugin(tauri_plugin_clipboard_manager::init())
        .plugin(tauri_plugin_opener::init())
        .plugin(tauri_plugin_process::init())
        .plugin(tauri_plugin_updater::Builder::new().build())
-        .setup(|app| {
+        .setup(move |app| {
            app.handle().plugin(tauri_plugin_autostart::init(
                tauri_plugin_autostart::MacosLauncher::LaunchAgent,
-                None,
+                Some(vec![AUTOSTART_ARG]),
            ))?;
            let config = Config::desktop()?;
            #[cfg(dev)]
@@ -160,6 +186,9 @@ pub fn run() {
            let listener = tauri::async_runtime::block_on(server.bind())?;
            let address = listener.local_addr()?;
            tauri::async_runtime::block_on(server.harness().cleanup_stale_settings())?;
+            let silent_start = tauri::async_runtime::block_on(server.store().desktop_settings())
+                .map(|settings| settings.silent_start)
+                .unwrap_or(false);
            let shutdown = CancellationToken::new();
            let server_shutdown = shutdown.clone();
            let app_handle = app.handle().clone();
@@ -176,7 +205,13 @@ pub fn run() {
                server: Mutex::new(Some(task)),
                exiting: AtomicBool::new(false),
            });
-            create_main_window(app.handle(), address)?;
+            let window = create_main_window(app.handle(), address)?;
+            if silent_start && started_by_autostart {
+                tracing::info!("silent autostart enabled; keeping the main window hidden");
+            } else {
+                window.show()?;
+                window.set_focus()?;
+            }
            tray::create(app)?;
            Ok(())
        })
@@ -1,7 +1,7 @@
 {
  "$schema": "https://schema.tauri.app/config/2",
  "productName": "Cursor BYOK",
-  "version": "0.1.0-beta.10",
+  "version": "0.1.2",
  "identifier": "dev.cursorbyok.desktop",
  "build": {
    "beforeDevCommand": "npm run dev",
@@ -8,7 +8,6 @@ import { CallsPage } from "./pages/CallsPage";
 import { CallDetailsPage } from "./pages/CallDetailsPage";
 import { CursorSettingsPage } from "./pages/CursorSettingsPage";
 import { HomePage } from "./pages/HomePage";
-import { ProvidersPage } from "./pages/ProvidersPage";
 import { SettingsPage } from "./pages/SettingsPage";
 import { useAppStore } from "./store/appStore";
 import { updateStore } from "./store/updateStore";
@@ -22,7 +21,6 @@ export function App() {
          <Route element={<AppFrame />}>
            <Route element={<AppLayout />}>
              <Route index element={<HomePage />} />
-              <Route path="providers" element={<ProvidersPage />} />
              <Route path="calls" element={<CallsPage />} />
              <Route path="harness/cursor" element={<CursorSettingsPage />} />
              <Route path="settings" element={<SettingsPage />} />
@@ -1,60 +1,87 @@
 import type { AdRuntime } from "./components/ads/types";
 import type { Locale } from "./i18n/runtime";

-export type ProviderType = "openai-chat" | "openai-responses" | "anthropic";
-
-export interface Provider {
-  provider_id: number;
-  name: string;
-  provider_type: ProviderType;
-  base_url: string;
-  api_key?: string;
-  has_api_key: boolean;
-  custom_headers: Record<string, string | null>;
-  extra_params: Record<string, unknown>;
-  created_at_ms: number;
-  updated_at_ms: number;
-}
-
-export interface ProviderInput {
-  name: string;
-  provider_type: ProviderType;
-  base_url: string;
-  api_key?: string;
-  custom_headers: Record<string, string | null>;
-  extra_params: Record<string, unknown>;
-}
+export type ModelType = "openai" | "anthropic";

 export interface Model {
  model_hash: string;
-  provider_id: number;
-  model_id: string;
-  display_name: string;
-  endpoint_type: ProviderType;
-  request_url: string;
-  enabled: boolean;
  sort_order: number;
-  context_window_tokens: number | null;
-  max_output_tokens: number | null;
-  reasoning_enabled: boolean;
+  display_name: string;
+  type: ModelType;
+  base_url: string;
+  use_full_url: boolean;
+  api_key: string;
+  tooltip_data: string;
+  model_id: string;
  reasoning_effort: string | null;
-  supports_image_generation: boolean;
+  openai_endpoint: string;
+  openai_extra_params_enabled: boolean;
+  openai_extra_params: Record<string, unknown>;
+  custom_headers_enabled: boolean;
+  custom_headers: Record<string, string>;
+  anthropic_extra_params_enabled: boolean;
+  anthropic_extra_params: Record<string, unknown>;
+  context_window_tokens: number | null;
+  max_completion_tokens: number | null;
+  anthropic_max_tokens: number | null;
+  anthropic_thinking_effort: string | null;
+  thinking_budget_tokens: number | null;
  created_at_ms: number;
  updated_at_ms: number;
 }

 export interface ModelInput {
-  model_id: string;
-  display_name: string;
-  endpoint_type: ProviderType;
-  request_url: string;
-  enabled: boolean;
  sort_order: number;
-  context_window_tokens: number | null;
-  max_output_tokens: number | null;
-  reasoning_enabled: boolean;
+  display_name: string;
+  type: ModelType;
+  base_url: string;
+  use_full_url: boolean;
+  api_key: string;
+  tooltip_data: string;
+  model_id: string;
  reasoning_effort: string | null;
-  supports_image_generation: boolean;
+  openai_endpoint: string;
+  openai_extra_params_enabled: boolean;
+  openai_extra_params: Record<string, unknown>;
+  custom_headers_enabled: boolean;
+  custom_headers: Record<string, string>;
+  anthropic_extra_params_enabled: boolean;
+  anthropic_extra_params: Record<string, unknown>;
+  context_window_tokens: number | null;
+  max_completion_tokens: number | null;
+  anthropic_max_tokens: number | null;
+  anthropic_thinking_effort: string | null;
+  thinking_budget_tokens: number | null;
+}
+
+export interface ModelDiscoveryInput {
+  type: ModelType;
+  base_url: string;
+  api_key: string;
+  custom_headers_enabled: boolean;
+  custom_headers: Record<string, string>;
+}
+
+export interface LegacyModelImportPreviewItem {
+  model_hash: string;
+  display_name: string;
+  model_id: string;
+  type: ModelType;
+  existing: boolean;
+}
+
+export interface LegacyModelImportPreview {
+  source: string;
+  total: number;
+  new_models: number;
+  existing_models: number;
+  models: LegacyModelImportPreviewItem[];
+}
+
+export interface LegacyModelImportResult {
+  imported: number;
+  skipped: number;
+  total: number;
 }

 export interface ModelConnectivityResult {
@@ -66,7 +93,7 @@ export interface ModelConnectivityResult {
  output: string;
 }

-export type CaState = "missing" | "untrusted" | "ready" | "invalid" | "unsupported";
+export type CaState = "missing" | "untrusted" | "ready" | "invalid";
 export type IntegrationState = "disabled" | "enabled" | "degraded";
 export interface CursorHarnessStatus {
  platform: string;
@@ -114,6 +141,10 @@ export interface TabSettings {
  address: string;
 }

+export interface DesktopSettings {
+  silent_start: boolean;
+}
+
 export interface OverviewMetrics {
  llm_calls: number;
  successful_calls: number;
@@ -142,10 +173,6 @@ export interface Overview {
  token_usage_series: OverviewTokenUsageBucket[];
 }

-export type ProviderSelection =
-  | { kind: "existing"; provider_id: number }
-  | { kind: "new"; input: ProviderInput };
-
 export interface LlmCall {
  call_kind: "provider_llm" | "cursor_official";
  route: "local_byok" | "cursor_official";
@@ -256,29 +283,25 @@ export const api = {
    });
  },
  dismissAd: (id: string, reason: string) => request<void>(`/ads/${encodeURIComponent(id)}/dismissals`, { method: "POST", body: JSON.stringify({ reason }) }),
-  providers: () => request<Provider[]>("/providers"),
-  createProvider: (input: ProviderInput) => request<Provider>("/providers", { method: "POST", body: JSON.stringify(input) }),
-  updateProvider: (id: number, input: ProviderInput) => request<Provider>(`/providers/${id}`, { method: "PUT", body: JSON.stringify(input) }),
-  deleteProvider: (id: number) => request<void>(`/providers/${id}`, { method: "DELETE" }),
-  discoverModels: (id: number) => request<{ models: string[] }>(`/providers/${id}/models/discover`, { method: "POST" }),
-  saveModels: (id: number, models: ModelInput[]) => request<Model[]>(`/providers/${id}/models`, { method: "POST", body: JSON.stringify({ models }) }),
  models: () => request<Model[]>("/models"),
+  createModels: (models: ModelInput[]) => request<Model[]>("/models", { method: "POST", body: JSON.stringify({ models }) }),
+  reorderModels: (modelHashes: string[]) => request<Model[]>("/models/order", { method: "PUT", body: JSON.stringify({ model_hashes: modelHashes }) }),
+  discoverModels: (input: ModelDiscoveryInput) => request<{ models: string[] }>("/models/discover", { method: "POST", body: JSON.stringify(input) }),
+  previewV0049Models: () => request<LegacyModelImportPreview>("/models/import-v0049"),
+  importV0049Models: () => request<LegacyModelImportResult>("/models/import-v0049", { method: "POST" }),
  updateModel: (hash: string, model: ModelInput) => request<Model>(`/models/${hash}`, { method: "PUT", body: JSON.stringify(model) }),
  deleteModel: (hash: string) => request<void>(`/models/${hash}`, { method: "DELETE" }),
  testModel: (hash: string) => request<ModelConnectivityResult>(`/models/${hash}/test`, { method: "POST" }),
-  overview: (filter?: { startMs: number; endMs: number; modelHashes?: string[]; providerIds?: number[] }) => {
+  overview: (filter?: { startMs: number; endMs: number; modelHashes?: string[] }) => {
    const params = new URLSearchParams();
    if (filter) {
      params.set("start_ms", String(filter.startMs));
      params.set("end_ms", String(filter.endMs));
      if (filter.modelHashes?.length) params.set("model_hashes", JSON.stringify(filter.modelHashes));
-      if (filter.providerIds?.length) params.set("provider_ids", JSON.stringify(filter.providerIds));
    }
    const query = params.size ? `?${params}` : "";
    return request<Overview>(`/overview${query}`);
  },
-  createCursorModels: (provider: ProviderSelection, models: ModelInput[]) => request<{ provider: Provider; models: Model[] }>("/harness/cursor/models", { method: "POST", body: JSON.stringify({ provider, models }) }),
-  discoverCursorModels: (provider: ProviderSelection) => request<{ models: string[] }>("/harness/cursor/models/discover", { method: "POST", body: JSON.stringify({ provider }) }),
  cursorHarness: () => request<CursorHarnessStatus>("/harness/cursor/status"),
  initializeCursorCa: () => request<CursorHarnessStatus>("/harness/cursor/ca/initialize", { method: "POST" }),
  openCursorCaInstallTerminal: async (command: string) => {
@@ -310,4 +333,6 @@ export const api = {
  setProxySettings: (settings: ProxySettingsInput) => request<ProxySettings>("/settings/proxy", { method: "PUT", body: JSON.stringify(settings) }),
  tabSettings: () => request<TabSettings>("/settings/tab"),
  setTabSettings: (settings: TabSettings) => request<TabSettings>("/settings/tab", { method: "PUT", body: JSON.stringify(settings) }),
+  desktopSettings: () => request<DesktopSettings>("/settings/desktop"),
+  setDesktopSettings: (settings: DesktopSettings) => request<DesktopSettings>("/settings/desktop", { method: "PUT", body: JSON.stringify(settings) }),
 };
@@ -1,15 +0,0 @@
-.form {
-  display: grid;
-  grid-template-columns: repeat(2, minmax(0, 1fr));
-  gap: 12px;
-}
-
-.fullWidth {
-  width: 100%;
-  grid-column: 1 / -1;
-}
-
-@media (max-width: 720px) {
-  .form { grid-template-columns: 1fr; }
-  .fullWidth { grid-column: auto; }
-}
@@ -1,30 +0,0 @@
-import type { ProviderInput, ProviderType } from "../api";
-import { FormField, SecretTextInput, TextInput } from "./ui/FormControls";
-import { JsonEditor } from "./ui/JsonEditor";
-import { Select } from "./ui/Select";
-import { claudeIcon, openAiIcon } from "./ui/icons";
-import styles from "./ProviderEditor.module.scss";
-
-export function ProviderEditor({ value, headersText, extraText, editing, onChange, onHeadersChange, onExtraChange }: {
-  value: ProviderInput;
-  headersText: string;
-  extraText: string;
-  editing: boolean;
-  onChange: (value: ProviderInput) => void;
-  onHeadersChange: (value: string) => void;
-  onExtraChange: (value: string) => void;
-}) {
-  const patch = (next: Partial<ProviderInput>) => onChange({ ...value, ...next });
-  return <div className={styles.form}>
-    <FormField className={styles.fullWidth} label={t("名称")}><TextInput placeholder={t("例如：OpenAI")} value={value.name} onChange={(event) => patch({ name: event.target.value })} /></FormField>
-    <FormField label={t("协议")} hint={t("选择上游服务使用的请求协议。")}><Select ariaLabel={t("协议")} value={value.provider_type} options={[
-      { value: "openai-responses", label: "OpenAI Responses", icon: openAiIcon },
-      { value: "openai-chat", label: "OpenAI Chat", icon: openAiIcon },
-      { value: "anthropic", label: "Anthropic", icon: claudeIcon },
-    ]} onChange={(provider_type) => patch({ provider_type: provider_type as ProviderType })} /></FormField>
-    <FormField label="Base URL" hint={t("模型服务的 API 根地址；修改后会同步更新该上游模型的路由身份。")}><TextInput placeholder="https://api.example.com/v1" value={value.base_url} onChange={(event) => patch({ base_url: event.target.value })} /></FormField>
-    <FormField className={styles.fullWidth} label="API Key" hint={editing ? t("留空表示保留当前 API Key。") : t("访问模型服务所需的密钥。")}><SecretTextInput autoComplete="off" placeholder={editing ? t("留空以保留当前密钥") : "sk-xxxxxx"} value={value.api_key ?? ""} onChange={(event) => patch({ api_key: event.target.value })} /></FormField>
-    <FormField className={styles.fullWidth} label={t("自定义 Headers JSON")} hint={t("值必须是字符串；编辑时 null 表示保留对应敏感 Header 的原值。")}><JsonEditor ariaLabel={t("自定义 Headers JSON")} value={headersText} onChange={onHeadersChange} /></FormField>
-    <FormField className={styles.fullWidth} label={t("额外参数 JSON")} hint={t("合并到该上游所有模型的请求体。")}><JsonEditor ariaLabel={t("额外参数 JSON")} value={extraText} onChange={onExtraChange} /></FormField>
-  </div>;
-}
@@ -1,14 +0,0 @@
-@use "../styles/typography" as type;
-
-.badge {
-  padding: 3px 7px;
-  color: var(--vscode-descriptionForeground);
-  background: var(--vscode-input-background);
-  border-radius: 99px;
-  font-size: type.$font-size-xs;
-}
-
-.actions {
-  display: flex;
-  gap: 2px;
-}
@@ -1,31 +0,0 @@
-import type { Provider } from "../api";
-import controls from "./ui/Controls.module.scss";
-import { DataTable, type DataTableColumn } from "./ui/DataTable";
-import { Icon } from "./ui/Icon";
-import { TooltipTrigger } from "./ui/TooltipTrigger";
-import { editIcon, trashIcon } from "./ui/icons";
-import styles from "./ProviderTable.module.scss";
-
-const json = (value: unknown) => JSON.stringify(value);
-
-export function ProviderTable({ providers, onEdit, onDelete }: {
-  providers: Provider[];
-  onEdit: (provider: Provider) => void;
-  onDelete: (provider: Provider) => void;
-}) {
-  const columns: DataTableColumn<Provider>[] = [
-    { key: "name", header: t("名称"), render: (provider) => provider.name, title: (provider) => provider.name },
-    { key: "type", header: t("协议"), render: (provider) => provider.provider_type },
-    { key: "url", header: "Base URL", render: (provider) => provider.base_url, title: (provider) => provider.base_url },
-    { key: "key", header: "API Key", render: (provider) => <span className={styles.badge}>{provider.has_api_key ? t("已配置") : t("未配置")}</span> },
-    { key: "headers", header: "Headers JSON", render: (provider) => json(provider.custom_headers), title: (provider) => json(provider.custom_headers) },
-    { key: "extra", header: t("额外参数 JSON"), render: (provider) => json(provider.extra_params), title: (provider) => json(provider.extra_params) },
-    { key: "created", header: t("创建时间"), render: (provider) => new Date(provider.created_at_ms).toLocaleString() },
-    { key: "updated", header: t("更新时间"), render: (provider) => new Date(provider.updated_at_ms).toLocaleString() },
-    { key: "actions", header: t("操作"), sticky: "right", render: (provider) => <div className={styles.actions}>
-      <TooltipTrigger label={t("编辑上游")}><button className={controls.iconButton} aria-label={t("编辑上游")} onClick={() => onEdit(provider)}><Icon icon={editIcon} size="1.1em" /></button></TooltipTrigger>
-      <TooltipTrigger label={t("删除上游")}><button className={`${controls.iconButton} ${controls.danger}`} aria-label={t("删除上游")} onClick={() => onDelete(provider)}><Icon icon={trashIcon} size="1.1em" /></button></TooltipTrigger>
-    </div> },
-  ];
-  return <DataTable rows={providers} columns={columns} rowKey={(provider) => provider.provider_id} minWidth={1400} />;
-}
@@ -15,12 +15,11 @@ export function CursorCaGate({ busy, waitingForRefresh, onInitialize, onRefresh,
  const ready = useContext(CaReady);
  const { cursorHarness } = useAppStore();
  if (ready) return children;
-  const unsupported = cursorHarness?.ca === "unsupported";
  const installedLocally = cursorHarness?.ca === "untrusted";
  return <div className={styles.gate}>
-    <strong>{unsupported ? t("当前系统暂不支持安装 CA") : installedLocally ? t("需要在系统中信任本地 CA") : t("需要先初始化本地 CA")}</strong>
-    <span>{unsupported ? t("请使用 macOS 或 Windows。") : installedLocally ? t("请在终端中粘贴授权命令并输入密码，完成后点击下方按钮") : t("CA 仅保存在本机，用于安全解析 Cursor 的 HTTPS 请求。")}</span>
-    {!unsupported && <button className={controls.primary} disabled={busy} onClick={waitingForRefresh ? onRefresh : onInitialize}>{busy ? t("刷新中…") : waitingForRefresh ? t("我已初始化，刷新") : installedLocally ? t("打开终端安装 CA") : t("初始化 CA")}</button>}
+    <strong>{installedLocally ? t("需要在系统中信任本地 CA") : t("需要先初始化本地 CA")}</strong>
+    <span>{installedLocally ? t("请在终端中粘贴授权命令并输入密码，完成后点击下方按钮") : t("CA 仅保存在本机，用于安全解析 Cursor 的 HTTPS 请求。")}</span>
+    <button className={controls.primary} disabled={busy} onClick={waitingForRefresh ? onRefresh : onInitialize}>{busy ? t("刷新中…") : waitingForRefresh ? t("我已初始化，刷新") : installedLocally ? t("打开终端安装 CA") : t("初始化 CA")}</button>
  </div>;
 }

@@ -29,12 +28,15 @@ export function CursorModelProvider({ children }: { children: ReactNode }) {
  return <ModelsReady.Provider value={models.length > 0}>{children}</ModelsReady.Provider>;
 }

-export function CursorModelGate({ onAdd, children }: { onAdd: () => void; children: ReactNode }) {
+export function CursorModelGate({ busy, previewingImport, onAdd, onImport, children }: { busy: boolean; previewingImport: boolean; onAdd: () => void; onImport: () => void; children: ReactNode }) {
  const ready = useContext(ModelsReady);
  if (ready) return children;
  return <div className={styles.gate}>
    <strong>{t("还没有可供 Cursor 使用的模型")}</strong>
-    <span>{t("Cursor 接管已生效；添加上游及其模型配置后即可使用 BYOK 模型。")}</span>
-    <button className={controls.primary} onClick={onAdd}>{t("添加模型")}</button>
+    <span>{t("Cursor 接管已生效；添加模型配置后即可使用 BYOK 模型。")}</span>
+    <div className={styles.gateActions}>
+      <button className={controls.primary} disabled={busy} onClick={onAdd}>{t("添加模型")}</button>
+      <button className={controls.secondary} disabled={busy} onClick={onImport}>{previewingImport ? t("读取中…") : t("导入旧版配置")}</button>
+    </div>
  </div>;
 }
@@ -0,0 +1,114 @@
+import { useEffect, useRef } from "react";
+import Sortable from "sortablejs";
+import type { Model } from "../../api";
+import { Button } from "../ui/Button";
+import { Card } from "../ui/Card";
+import { Icon } from "../ui/Icon";
+import { claudeIcon, dragIcon, openAiIcon } from "../ui/icons";
+import { CursorModelTestResult, type CursorModelTestState } from "./CursorModelTestResult";
+import styles from "./CursorSettings.module.scss";
+
+export function CursorModelCards({
+  models,
+  disabled,
+  testingModelHashes,
+  testResults,
+  onTest,
+  onEdit,
+  onDuplicate,
+  onDelete,
+  onReorder,
+}: {
+  models: Model[];
+  disabled: boolean;
+  testingModelHashes: Set<string>;
+  testResults: Map<string, CursorModelTestState>;
+  onTest: (model: Model) => void;
+  onEdit: (model: Model) => void;
+  onDuplicate: (model: Model) => void;
+  onDelete: (model: Model) => void;
+  onReorder: (modelHashes: string[]) => void;
+}) {
+  const grid = useRef<HTMLDivElement>(null);
+  const sortable = useRef<Sortable | null>(null);
+  const currentModels = useRef(models);
+  const reorder = useRef(onReorder);
+  currentModels.current = models;
+  reorder.current = onReorder;
+
+  useEffect(() => {
+    if (!grid.current) return;
+    sortable.current = Sortable.create(grid.current, {
+      animation: 160,
+      dataIdAttr: "data-model-hash",
+      draggable: `.${styles.modelCard}`,
+      handle: `.${styles.sortHandle}`,
+      ghostClass: styles.sortGhost,
+      chosenClass: styles.sortChosen,
+      dragClass: styles.sortDragging,
+      forceFallback: true,
+      fallbackOnBody: true,
+      fallbackTolerance: 3,
+      onEnd: (event) => {
+        const oldIndex = event.oldDraggableIndex ?? event.oldIndex;
+        const newIndex = event.newDraggableIndex ?? event.newIndex;
+        if (typeof oldIndex !== "number"
+          || typeof newIndex !== "number"
+          || oldIndex === newIndex) {
+          sortable.current?.sort(currentModels.current.map((model) => model.model_hash), false);
+          return;
+        }
+        const reordered = currentModels.current.slice();
+        const [moved] = reordered.splice(oldIndex, 1);
+        if (!moved || newIndex < 0 || newIndex > reordered.length) {
+          sortable.current?.sort(currentModels.current.map((model) => model.model_hash), false);
+          return;
+        }
+        reordered.splice(newIndex, 0, moved);
+        reorder.current(reordered.map((model) => model.model_hash));
+      },
+    });
+    return () => {
+      sortable.current?.destroy();
+      sortable.current = null;
+    };
+  }, []);
+
+  useEffect(() => {
+    sortable.current?.option("disabled", disabled);
+    sortable.current?.sort(models.map((model) => model.model_hash), false);
+  }, [disabled, models]);
+
+  return <div ref={grid} className={styles.modelGrid}>
+    {models.map((model) => {
+      const result = testResults.get(model.model_hash);
+      const testing = testingModelHashes.has(model.model_hash);
+      return <Card className={styles.modelCard} data-model-hash={model.model_hash} key={model.model_hash}>
+        <button type="button" className={styles.sortHandle} disabled={disabled} aria-label={t("拖动排序")} title={t("拖动排序")} onClick={(event) => event.stopPropagation()}>
+          <Icon icon={dragIcon} size="1.25em" />
+        </button>
+        <div className={styles.modelCardContent}>
+          <div className={styles.modelCardTop}>
+            <div className={styles.modelCardName}>
+              <strong>{model.display_name}</strong>
+              <span>{model.model_id}</span>
+            </div>
+            <span className={styles.modelTypeBadge}>
+              <Icon icon={model.type === "anthropic" ? claudeIcon : openAiIcon} />
+              {model.type === "anthropic" ? "Anthropic" : "OpenAI"}
+            </span>
+          </div>
+          <div className={styles.modelCardTest}>
+            <CursorModelTestResult state={result} testing={testing} />
+          </div>
+          <div className={styles.modelCardActions}>
+            <Button size="small" disabled={disabled} onClick={() => onTest(model)}>{testing ? t("测试中…") : t("测试")}</Button>
+            <Button size="small" disabled={disabled} onClick={() => onEdit(model)}>{t("编辑")}</Button>
+            <Button size="small" disabled={disabled} onClick={() => onDuplicate(model)}>{t("复制")}</Button>
+            <Button size="small" className={styles.deleteButton} disabled={disabled} onClick={() => onDelete(model)}>{t("删除")}</Button>
+          </div>
+        </div>
+      </Card>;
+    })}
+  </div>;
+}
@@ -1,101 +1,150 @@
-import type { ModelInput, Provider, ProviderInput, ProviderType } from "../../api";
-import { FormField, SecretTextInput, TextInput } from "../ui/FormControls";
+import type { ModelInput, ModelType } from "../../api";
+import { defaultCustomHeadersText } from "../../utils/modelDefaults";
+import { Button } from "../ui/Button";
 import { Checkbox } from "../ui/Checkbox";
+import { FormField, SecretTextInput, TextInput } from "../ui/FormControls";
 import { JsonEditor } from "../ui/JsonEditor";
-import { Combobox, MultiCombobox, Select } from "../ui/Select";
+import { Combobox, Select } from "../ui/Select";
 import { Switch } from "../ui/Switch";
-import controls from "../ui/Controls.module.scss";
-import { TooltipTrigger } from "../ui/TooltipTrigger";
 import { claudeIcon, openAiIcon } from "../ui/icons";
-import { defaultCustomHeaders, defaultCustomHeadersText } from "../../utils/providerDefaults";
 import styles from "./CursorSettings.module.scss";

 export type CursorModelDraft = {
-  providerMode: string;
-  provider: ProviderInput;
  model: ModelInput;
-  modelIds: string[];
-  headersText: string;
-  extraText: string;
-  customRequestUrl: boolean;
+  openAIExtraParamsText: string;
+  customHeadersText: string;
+  anthropicExtraParamsText: string;
 };

 export const emptyCursorModelDraft = (): CursorModelDraft => ({
-  providerMode: "new",
-  provider: { name: "", provider_type: "openai-responses", base_url: "", api_key: "", custom_headers: { ...defaultCustomHeaders }, extra_params: {} },
-  model: { model_id: "", display_name: "", endpoint_type: "openai-responses", request_url: "", enabled: true, sort_order: 0, context_window_tokens: null, max_output_tokens: null, reasoning_enabled: true, reasoning_effort: null, supports_image_generation: false },
-  modelIds: [],
-  headersText: defaultCustomHeadersText,
-  extraText: "{}",
-  customRequestUrl: false,
+  model: {
+    sort_order: 0,
+    display_name: "",
+    type: "openai",
+    base_url: "",
+    use_full_url: false,
+    api_key: "",
+    tooltip_data: t("备注"),
+    model_id: "",
+    reasoning_effort: null,
+    openai_endpoint: "/v1/responses",
+    openai_extra_params_enabled: false,
+    openai_extra_params: {},
+    custom_headers_enabled: false,
+    custom_headers: {},
+    anthropic_extra_params_enabled: false,
+    anthropic_extra_params: {},
+    context_window_tokens: null,
+    max_completion_tokens: null,
+    anthropic_max_tokens: null,
+    anthropic_thinking_effort: "xhigh",
+    thinking_budget_tokens: null,
+  },
+  openAIExtraParamsText: "{}",
+  customHeadersText: defaultCustomHeadersText,
+  anthropicExtraParamsText: "{}",
 });

-export function CursorModelEditor({ draft, providers, editing, modelOptions, discovering, onChange, onDiscover }: {
+export function CursorModelEditor({ draft, modelOptions, discovering, onChange, onDiscover }: {
  draft: CursorModelDraft;
-  providers: Provider[];
-  editing: boolean;
  modelOptions: string[];
  discovering: boolean;
  onChange: (draft: CursorModelDraft) => void;
  onDiscover: () => void;
 }) {
-  const setProvider = (patch: Partial<ProviderInput>) => onChange({ ...draft, provider: { ...draft.provider, ...patch } });
  const setModel = (patch: Partial<ModelInput>) => onChange({ ...draft, model: { ...draft.model, ...patch } });
-  const canDiscover = draft.providerMode !== "new"
-    || Boolean(draft.provider.base_url.trim() && draft.provider.api_key?.trim());
-  const selectProvider = (providerMode: string) => {
-    const endpointType = providerMode === "new"
-      ? draft.provider.provider_type
-      : providers.find((provider) => String(provider.provider_id) === providerMode)?.provider_type;
-    onChange({ ...draft, providerMode, model: endpointType ? { ...draft.model, endpoint_type: endpointType } : draft.model });
-  };
-  const setEndpointType = (endpoint_type: ProviderType) => onChange({
-    ...draft,
-    provider: draft.providerMode === "new" ? { ...draft.provider, provider_type: endpoint_type } : draft.provider,
-    model: { ...draft.model, endpoint_type },
+  const setType = (type: ModelType) => setModel({
+    type,
+    openai_endpoint: type === "openai" ? draft.model.openai_endpoint || "/v1/responses" : "",
+    anthropic_thinking_effort: type === "anthropic" ? draft.model.anthropic_thinking_effort || "xhigh" : null,
  });
-  const setModelIds = (modelIds: string[]) => onChange({
-    ...draft,
-    modelIds,
-    model: {
-      ...draft.model,
-      model_id: modelIds[0] ?? "",
-      display_name: modelIds.length === 1 && draft.modelIds.length !== 1 ? modelIds[0] : draft.model.display_name,
-    },
-  });
-  return <div className={styles.editor}>
-    {!editing && <FormField label={t("上游")} hint={t("选择已有上游，或创建一个新的上游。")}><Select ariaLabel={t("选择上游")} value={draft.providerMode} options={[
-      { value: "new", label: t("新建上游") },
-      ...providers.map((provider) => ({ value: String(provider.provider_id), label: provider.name })),
-    ]} onChange={selectProvider} /></FormField>}
+  const numberValue = (value: string) => value === "" ? null : Math.trunc(Number(value));
+  const canDiscover = Boolean(draft.model.base_url.trim() && draft.model.api_key.trim());
+  const requestUrlPlaceholder = draft.model.use_full_url
+    ? draft.model.type === "anthropic"
+      ? "https://api.anthropic.com/v1/messages"
+      : draft.model.openai_endpoint === "/v1/chat/completions"
+        ? "https://api.openai.com/v1/chat/completions"
+        : "https://api.openai.com/v1/responses"
+    : draft.model.type === "anthropic"
+      ? "https://api.anthropic.com"
+      : "https://api.openai.com";

+  return <div className={styles.editor}>
    <div className={styles.grid}>
-      {!editing && draft.providerMode === "new" && <>
-        <FormField label="Base URL" hint={t("模型服务的 API 根地址，例如 https://api.openai.com/v1。")}><TextInput placeholder="例如：https://api.openai.com/v1" value={draft.provider.base_url} onChange={(event) => setProvider({ base_url: event.target.value })} /></FormField>
-        <FormField label="API Key" hint={t("访问模型服务所需的密钥。")}><SecretTextInput placeholder="例如：sk-xxxxxx" autoComplete="off" value={draft.provider.api_key ?? ""} onChange={(event) => setProvider({ api_key: event.target.value })} /></FormField>
-      </>}
-      <FormField label={t("端点类型")} hint={t("默认继承上游，可为当前模型单独修改。")}><Select ariaLabel={t("端点类型")} value={draft.model.endpoint_type} options={[
-        { value: "openai-responses", label: "OpenAI Responses", icon: openAiIcon }, { value: "openai-chat", label: "OpenAI Chat", icon: openAiIcon }, { value: "anthropic", label: "Anthropic", icon: claudeIcon },
-      ]} onChange={(endpointType) => setEndpointType(endpointType as ProviderType)} /></FormField>
-      {(editing || draft.modelIds.length <= 1) && <FormField label={t("显示名称")} hint={t("仅用于界面展示，不会改变发送给上游的模型名称。")}><TextInput placeholder="例如：GPT-4.1" value={draft.model.display_name} onChange={(event) => setModel({ display_name: event.target.value })} /></FormField>}
-      <FormField label={t("模型名称")} hint={editing ? t("可以直接输入模型标识，也可以从当前上游返回的模型列表中选择。") : t("支持选择或输入多个模型；批量添加时显示名称默认使用对应模型名称。")}>{editing
-        ? <Combobox value={draft.model.model_id} options={modelOptions} placeholder="例如：gpt-4.1" append={<button type="button" className={controls.secondary} disabled={discovering || !canDiscover} onClick={onDiscover}>{discovering ? t("获取中…") : t("获取模型")}</button>} onChange={(model_id) => setModel({ model_id, display_name: draft.model.display_name || model_id })} />
-        : <MultiCombobox value={draft.modelIds} options={modelOptions} placeholder="例如：gpt-4.1" append={<button type="button" className={controls.secondary} disabled={discovering || !canDiscover} onClick={onDiscover}>{discovering ? t("获取中…") : t("获取模型")}</button>} onChange={setModelIds} />
-      }</FormField>
-      <FormField label={t("自定义上下文")} hint={t("输入 token 数后，将作为额外选项添加到 Cursor 模型的 Context 列表；只有在 Cursor 中选中该选项时才会生效。")}>
-        <TextInput type="number" min={1} step={1} aria-label={t("自定义上下文 tokens")} placeholder={t("例如：272000")} value={draft.model.context_window_tokens ?? ""} onChange={(event) => setModel({ context_window_tokens: event.target.value === "" ? null : Math.trunc(Number(event.target.value)) })} />
-      </FormField>
-      <div className={styles.fullWidth}><Checkbox label={t("自定义请求完整地址")} checked={draft.customRequestUrl} onChange={(customRequestUrl) => onChange({ ...draft, customRequestUrl, model: { ...draft.model, request_url: customRequestUrl ? draft.model.request_url : "" } })} /></div>
-      {draft.customRequestUrl && <FormField className={styles.fullWidth} label={t("请求完整地址")} hint={t("支持完整 HTTP(S) 地址或以 / 开头、与上游地址组合的相对路径。")}><TextInput placeholder="例如：https://api.example.com/v1/chat/completions" value={draft.model.request_url} onChange={(event) => setModel({ request_url: event.target.value })} /></FormField>}
-      {!editing && draft.providerMode === "new" && <>
-        <FormField className={styles.fullWidth} label={t("额外参数 JSON")} hint={t("合并到该上游所有模型的请求体。")}><JsonEditor ariaLabel={t("额外参数 JSON")} value={draft.extraText} onChange={(extraText) => onChange({ ...draft, extraText })} /></FormField>
-        <FormField className={styles.fullWidth} label={t("自定义 Headers JSON")} hint={t("附加到该上游所有请求的自定义请求头，值必须是字符串。")}><JsonEditor ariaLabel={t("自定义 Headers JSON")} value={draft.headersText} onChange={(headersText) => onChange({ ...draft, headersText })} /></FormField>
-      </>}
-      <div className={`${styles.switches} ${styles.fullWidth}`}>
-        <label><TooltipTrigger label={t("模型是否允许被 Cursor 选择使用。")}><span>{t("启用模型")}</span></TooltipTrigger><Switch label={t("启用模型")} checked={draft.model.enabled} onChange={(enabled) => setModel({ enabled })} /></label>
-        <label><TooltipTrigger label={t("是否声明模型支持推理能力。")}><span>{t("启用推理")}</span></TooltipTrigger><Switch label={t("启用推理")} checked={draft.model.reasoning_enabled} onChange={(reasoning_enabled) => setModel({ reasoning_enabled })} /></label>
-        <label><TooltipTrigger label={t("是否声明模型支持图片生成。")}><span>{t("图片生成")}</span></TooltipTrigger><Switch label={t("图片生成")} checked={draft.model.supports_image_generation} onChange={(supports_image_generation) => setModel({ supports_image_generation })} /></label>
+      <FormField label={t("模型类型")}><Select ariaLabel={t("模型类型")} value={draft.model.type} options={[
+        { value: "openai", label: "OpenAI", icon: openAiIcon },
+        { value: "anthropic", label: "Anthropic", icon: claudeIcon },
+      ]} onChange={(value) => setType(value as ModelType)} /></FormField>
+      {draft.model.type === "openai" && <FormField label={t("请求协议")} hint={t("只决定请求与响应的格式，不会改变请求地址。")}> <Select ariaLabel={t("请求协议")} value={draft.model.openai_endpoint} options={[
+        { value: "/v1/responses", label: "Responses API" },
+        { value: "/v1/chat/completions", label: "Chat Completions API" },
+      ]} onChange={(openai_endpoint) => setModel({ openai_endpoint })} /></FormField>}
+
+      <div className={styles.urlField}>
+        <FormField label={draft.model.use_full_url ? t("完整请求 URL") : t("服务器地址")} hint={draft.model.use_full_url ? t("系统会原样使用此地址，不追加或修改请求路径。") : t("系统会根据请求协议自动追加标准端点路径。")}> <TextInput placeholder={requestUrlPlaceholder} value={draft.model.base_url} onChange={(event) => setModel({ base_url: event.target.value })} /></FormField>
+        <Checkbox checked={draft.model.use_full_url} label={t("使用完整请求地址")} onChange={(use_full_url) => setModel({ use_full_url })} />
      </div>
+      <FormField label="API Key" hint={t("访问模型服务所需的密钥。")}> <SecretTextInput placeholder="sk-xxxxxx" autoComplete="off" value={draft.model.api_key} onChange={(event) => setModel({ api_key: event.target.value })} /></FormField>
+
+      <FormField label={t("模型名称")} hint={t("可以直接输入模型标识，也可以读取接口返回的模型列表。")}> <Combobox value={draft.model.model_id} options={modelOptions} placeholder="gpt-5" append={<Button className={styles.discoverButton} disabled={discovering || !canDiscover} onClick={onDiscover}>{discovering ? t("获取中…") : t("获取模型")}</Button>} onChange={(model_id) => setModel({ model_id, display_name: draft.model.display_name || model_id })} /></FormField>
+      <FormField label={t("显示名称")} hint={t("仅用于界面展示，不会改变发送给模型服务的模型名称。")}> <TextInput value={draft.model.display_name} onChange={(event) => setModel({ display_name: event.target.value })} /></FormField>
+      <FormField className={styles.fullWidth} label={t("备注")} hint={t("显示在 Cursor 模型说明中。")}> <TextInput value={draft.model.tooltip_data} onChange={(event) => setModel({ tooltip_data: event.target.value })} /></FormField>
+
+      <FormField label={t("上下文窗口 Token")} hint={t("留空时使用默认值。")}> <TextInput type="number" min={1} step={1} value={draft.model.context_window_tokens ?? ""} onChange={(event) => setModel({ context_window_tokens: numberValue(event.target.value) })} /></FormField>
+      {draft.model.type === "openai" ? <>
+        <FormField label={t("最大输出 Token")} hint={t("留空时使用默认值。")}> <TextInput type="number" min={1} step={1} value={draft.model.max_completion_tokens ?? ""} onChange={(event) => setModel({ max_completion_tokens: numberValue(event.target.value) })} /></FormField>
+        <FormField label={t("推理强度")}> <Select ariaLabel={t("推理强度")} value={draft.model.reasoning_effort ?? ""} options={effortOptions(true)} onChange={(value) => setModel({ reasoning_effort: value || null })} /></FormField>
+      </> : <>
+        <FormField label={t("最大输出 Token")} hint={t("留空时使用默认值。")}> <TextInput type="number" min={1} step={1} value={draft.model.anthropic_max_tokens ?? ""} onChange={(event) => setModel({ anthropic_max_tokens: numberValue(event.target.value) })} /></FormField>
+        <FormField label={t("思考强度")}> <Select ariaLabel={t("思考强度")} value={draft.model.anthropic_thinking_effort ?? "xhigh"} options={effortOptions(false)} onChange={(anthropic_thinking_effort) => setModel({ anthropic_thinking_effort })} /></FormField>
+        <FormField label={t("思考预算 Token")} hint={t("留空时使用 adaptive thinking。")}> <TextInput type="number" min={1} step={1} value={draft.model.thinking_budget_tokens ?? ""} onChange={(event) => setModel({ thinking_budget_tokens: numberValue(event.target.value) })} /></FormField>
+      </>}
+
+      <ToggleJsonField
+        label={t("自定义 Headers")}
+        enabled={draft.model.custom_headers_enabled}
+        text={draft.customHeadersText}
+        onEnabledChange={(custom_headers_enabled) => setModel({ custom_headers_enabled })}
+        onTextChange={(customHeadersText) => onChange({ ...draft, customHeadersText })}
+      />
+      {draft.model.type === "openai" ? <ToggleJsonField
+        label={t("OpenAI 额外参数")}
+        enabled={draft.model.openai_extra_params_enabled}
+        text={draft.openAIExtraParamsText}
+        onEnabledChange={(openai_extra_params_enabled) => setModel({ openai_extra_params_enabled })}
+        onTextChange={(openAIExtraParamsText) => onChange({ ...draft, openAIExtraParamsText })}
+      /> : <ToggleJsonField
+        label={t("Anthropic 额外参数")}
+        enabled={draft.model.anthropic_extra_params_enabled}
+        text={draft.anthropicExtraParamsText}
+        onEnabledChange={(anthropic_extra_params_enabled) => setModel({ anthropic_extra_params_enabled })}
+        onTextChange={(anthropicExtraParamsText) => onChange({ ...draft, anthropicExtraParamsText })}
+      />}
    </div>
  </div>;
 }
+
+function ToggleJsonField({ label, enabled, text, onEnabledChange, onTextChange }: {
+  label: string;
+  enabled: boolean;
+  text: string;
+  onEnabledChange: (enabled: boolean) => void;
+  onTextChange: (text: string) => void;
+}) {
+  return <div className={`${styles.fullWidth} ${styles.jsonOption}`}>
+    <label><span>{label}</span><Switch label={label} checked={enabled} onChange={onEnabledChange} /></label>
+    {enabled && <JsonEditor ariaLabel={label} value={text} onChange={onTextChange} />}
+  </div>;
+}
+
+function effortOptions(optional: boolean) {
+  return [
+    ...(optional ? [{ value: "", label: t("不设置") }] : []),
+    { value: "low", label: "Low" },
+    { value: "medium", label: "Medium" },
+    { value: "high", label: "High" },
+    { value: "xhigh", label: "Extra High" },
+    { value: "max", label: "Max" },
+  ];
+}
@@ -0,0 +1,64 @@
+@use "../../styles/typography" as type;
+
+.root {
+  min-width: 0;
+  width: 100%;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 10px;
+  padding: 7px 9px;
+  border: 1px solid transparent;
+  border-radius: 6px;
+  font-size: type.$font-size-xs;
+}
+
+.idle {
+  color: var(--vscode-descriptionForeground);
+  background: color-mix(in srgb, var(--vscode-foreground) 6%, transparent);
+  border-color: color-mix(in srgb, var(--vscode-foreground) 12%, transparent);
+}
+
+.testing {
+  color: var(--vscode-textLink-foreground);
+  background: color-mix(in srgb, var(--vscode-textLink-foreground) 10%, transparent);
+  border-color: color-mix(in srgb, var(--vscode-textLink-foreground) 24%, transparent);
+}
+
+.success {
+  color: var(--vscode-testing-iconPassed, #73c991);
+  background: color-mix(in srgb, var(--vscode-testing-iconPassed, #73c991) 11%, transparent);
+  border-color: color-mix(in srgb, var(--vscode-testing-iconPassed, #73c991) 28%, transparent);
+}
+
+.error {
+  color: var(--vscode-errorForeground, #f48771);
+  background: color-mix(in srgb, var(--vscode-errorForeground, #f48771) 10%, transparent);
+  border-color: color-mix(in srgb, var(--vscode-errorForeground, #f48771) 28%, transparent);
+}
+
+.summary {
+  min-width: 0;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+.details {
+  flex: 0 0 auto;
+  display: inline-flex;
+  align-items: center;
+  gap: 4px;
+  padding: 0;
+  color: currentColor;
+  background: transparent;
+  border: 0;
+  font: inherit;
+  cursor: help;
+  white-space: nowrap;
+
+  &:focus-visible {
+    outline: 1px solid var(--vscode-focusBorder);
+    outline-offset: 2px;
+  }
+}
@@ -2,13 +2,16 @@ import type { ModelConnectivityResult } from "../../api";
 import { Icon } from "../ui/Icon";
 import { TooltipTrigger } from "../ui/TooltipTrigger";
 import { informationOutlineIcon } from "../ui/icons";
-import styles from "./CursorSettings.module.scss";
+import styles from "./CursorModelTestResult.module.scss";

 export type CursorModelTestState =
  | { status: "success"; result: ModelConnectivityResult }
  | { status: "error"; error: string };

-export function CursorModelTestResult({ state }: { state: CursorModelTestState }) {
+export function CursorModelTestResult({ state, testing = false }: { state?: CursorModelTestState; testing?: boolean }) {
+  if (testing) return <div className={`${styles.root} ${styles.testing}`}><span className={styles.summary}>{t("测试中…")}</span></div>;
+  if (!state) return <div className={`${styles.root} ${styles.idle}`}><span className={styles.summary}>{t("未测试")}</span></div>;
+
  const success = state.status === "success";
  const summary = success
    ? t("速度：{speed} tokens/s", { speed: formatSpeed(state.result.tokens_per_second) })
@@ -24,9 +27,9 @@ export function CursorModelTestResult({ state }: { state: CursorModelTestState }
    })
    : t("测试失败：{error}", { error: state.error });

-  return <div className={`${styles.testResult} ${success ? styles.testSuccess : styles.testError}`}>
-    <span className={styles.testResultText}>{summary}</span>
-    <TooltipTrigger label={detail}><span className={styles.testResultHint} tabIndex={0}><Icon icon={informationOutlineIcon} size="1.1em" /></span></TooltipTrigger>
+  return <div className={`${styles.root} ${success ? styles.success : styles.error}`}>
+    <span className={styles.summary}>{summary}</span>
+    <TooltipTrigger label={detail}><button type="button" className={styles.details}>{t("查看详情")}<Icon icon={informationOutlineIcon} size="1.1em" /></button></TooltipTrigger>
  </div>;
 }

@@ -5,6 +5,12 @@
  gap: 16px;
 }

+.gateActions {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+}
+
 .gate {
  min-height: 250px;
  display: flex;
@@ -29,103 +35,123 @@
  }
 }

-.groups {
-  display: flex;
-  flex-direction: column;
+.modelGrid {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
  gap: 12px;
 }
-.providerTitle {
+.modelCard {
+  position: relative;
+  padding: 16px;
+}
+.modelCardContent {
+  height: 150px;
+  display: flex;
+  flex-direction: column;
+  justify-content: space-between;
+  gap: 12px;
+}
+.modelCardTop {
  min-width: 0;
  display: flex;
-  flex-direction: row;
-  align-items: center;
-  gap: 3px;
+  align-items: flex-start;
+  justify-content: space-between;
+  gap: 12px;
+}
+.modelCardName {
+  min-width: 0;
+  display: flex;
+  flex-direction: column;
+  gap: 4px;

+  strong,
  span {
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
-}
-.models {
-  display: flex;
-  flex-direction: column;
-}
-.modelRow {
-  min-height: 54px;
-  display: grid;
-  grid-template-columns: minmax(0, 1fr) auto auto;
-  align-items: center;
-  gap: 10px;
-  padding: 8px 14px;
-  // border-top: 1px solid var(--vscode-sideBar-border);
-}
-.modelName {
-  min-width: 0;
-  display: flex;
-  flex-direction: column;
-  gap: 2px;
  strong {
-    overflow: hidden;
-    text-overflow: ellipsis;
-    white-space: nowrap;
+    color: var(--vscode-foreground);
+    font-size: type.$font-size-base;
  }
-  small {
+  span {
    color: var(--vscode-descriptionForeground);
    font-size: type.$font-size-xs;
  }
 }
-.badge {
-  padding: 2px 7px;
-  color: var(--vscode-badge-foreground);
-  background: var(--vscode-badge-background);
+.modelTypeBadge {
+  flex: 0 0 auto;
+  display: inline-flex;
+  align-items: center;
+  gap: 4px;
+  padding: 3px 7px;
+  color: var(--vscode-foreground);
+  border: 1px solid var(--vscode-sideBar-border);
  border-radius: 999px;
  font-size: type.$font-size-2xs;
 }
-.rowActions {
-  display: flex;
-  gap: 2px;
-}
-.testResult {
-  min-width: 0;
-  max-width: 220px;
+.modelCardTest {
+  min-height: 31px;
  display: flex;
  align-items: center;
-  gap: 5px;
-  font-size: type.$font-size-xs;
 }
-.testSuccess {
-  color: var(--vscode-testing-iconPassed, #73c991);
+.modelCardActions {
+  display: flex;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  gap: 8px;
 }
-.testError {
+.deleteButton:hover {
  color: var(--vscode-errorForeground, #f48771);
 }
-.testResultText {
-  min-width: 0;
-  overflow: hidden;
-  text-overflow: ellipsis;
-  white-space: nowrap;
-}
-.testResultHint {
-  flex: 0 0 auto;
-  display: flex;
-  align-items: center;
-  justify-content: center;
-  color: currentColor;
-  cursor: help;
-  &:focus-visible {
-    outline: 1px solid var(--vscode-focusBorder);
-    outline-offset: 2px;
+.sortHandle {
+  position: absolute;
+  top: 8px;
+  left: 8px;
+  z-index: 1;
+  width: 30px;
+  height: 30px;
+  display: grid;
+  place-items: center;
+  padding: 0;
+  color: transparent;
+  background: transparent;
+  border: 1px solid transparent;
+  border-radius: 6px;
+  opacity: 0;
+  cursor: grab;
+  touch-action: none;
+  transition: opacity 160ms ease, color 160ms ease, border-color 160ms ease, background-color 160ms ease;
+
+  &:focus-visible,
+  .modelCard:hover & {
+    color: var(--vscode-foreground);
+    background: var(--vscode-list-hoverBackground);
+    border-color: var(--vscode-sideBar-border);
+    opacity: 1;
  }
+  &:active {
+    cursor: grabbing;
+  }
+  &:disabled {
+    cursor: not-allowed;
+    opacity: 0.3;
+  }
+}
+.sortGhost {
+  opacity: 0.4;
+}
+.sortChosen {
+  border-color: var(--vscode-focusBorder);
+}
+.sortDragging {
+  cursor: grabbing;
 }
 .editor {
  display: flex;
  flex-direction: column;
  gap: 14px;
 }
-.editorTestResult {
-  margin-top: 14px;
-}
 .command {
  margin: 0;
  padding: 10px;
@@ -145,6 +171,17 @@
  width: 100%;
  grid-column: 1 / -1;
 }
+.discoverButton {
+  min-height: 34px;
+  height: 34px;
+  flex: 0 0 auto;
+}
+.urlField {
+  min-width: 0;
+  display: flex;
+  flex-direction: column;
+  gap: 7px;
+}
 .switches {
  display: flex;
  flex-direction: column;
@@ -160,6 +197,21 @@
  }
 }

+.jsonOption {
+  display: flex;
+  flex-direction: column;
+  gap: 8px;
+
+  > label {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    gap: 8px;
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+  }
+}
+
@media (max-width: 720px) {
  .grid {
    grid-template-columns: 1fr;
@@ -1,51 +0,0 @@
-@use "../../styles/typography" as type;
-
-.title {
-  min-width: 0;
-  display: flex;
-  align-items: center;
-  gap: 5px;
-}
-
-.row {
-  min-height: 62px;
-  display: flex;
-  align-items: center;
-  justify-content: space-between;
-  gap: 20px;
-  padding: 12px 16px;
-
-  & + & {
-    border-top: 1px solid var(--vscode-sideBar-border);
-  }
-}
-
-.description {
-  min-width: 0;
-  display: grid;
-  gap: 5px;
-
-  small {
-    color: var(--vscode-descriptionForeground);
-    font-size: type.$font-size-xs;
-  }
-}
-
-.selectControl,
-.addressInput {
-  width: min(300px, 44%);
-  flex: 0 0 auto;
-}
-
-@media (max-width: 620px) {
-  .row {
-    align-items: stretch;
-    flex-direction: column;
-    gap: 10px;
-  }
-
-  .selectControl,
-  .addressInput {
-    width: 100%;
-  }
-}
@@ -1,53 +0,0 @@
-import cursorIconUrl from "../../assets/icons/cursor.svg";
-import type { TabMode, TabSettings } from "../../api";
-import { Button } from "../ui/Button";
-import { TextInput } from "../ui/FormControls";
-import { Icon } from "../ui/Icon";
-import { Select } from "../ui/Select";
-import { TitledCard } from "../ui/TitledCard";
-import styles from "./TabSettingsCard.module.scss";
-
-export function TabSettingsCard({ settings, saving, onChange, onSave }: {
-  settings: TabSettings;
-  saving: boolean;
-  onChange: (settings: TabSettings) => void;
-  onSave: () => void;
-}) {
-  return <TitledCard
-    title={<div className={styles.title}><Icon src={cursorIconUrl} size="1.1em" /><span>{t("TAB 设置")}</span></div>}
-    action={<Button size="small" variant="primary" disabled={saving} onClick={onSave}>{saving ? t("保存中…") : t("保存")}</Button>}
-  >
-    <div className={styles.row}>
-      <div className={styles.description}>
-        <strong>{t("TAB 选择")}</strong>
-        <small>{t("控制 Cursor TAB 相关接口的连接方式。")}</small>
-      </div>
-      <div className={styles.selectControl}>
-        <Select
-          value={settings.mode}
-          ariaLabel={t("TAB 选择")}
-          options={[
-            { value: "public", label: t("使用公益服务") },
-            { value: "direct", label: t("直连") },
-            { value: "custom", label: t("自定义") },
-          ]}
-          onChange={(mode) => onChange({ ...settings, mode: mode as TabMode })}
-        />
-      </div>
-    </div>
-    {settings.mode === "custom" && <div className={styles.row}>
-      <div className={styles.description}>
-        <strong>{t("TAB 服务地址")}</strong>
-        <small>{t("原接口路径会追加到此服务地址。")}</small>
-      </div>
-      <TextInput
-        className={styles.addressInput}
-        value={settings.address}
-        placeholder="https://tab.leokun.cn"
-        aria-label={t("TAB 服务地址")}
-        onChange={(event) => onChange({ ...settings, address: event.target.value })}
-        onKeyDown={(event) => { if (event.key === "Enter") onSave(); }}
-      />
-    </div>}
-  </TitledCard>;
-}
@@ -0,0 +1,92 @@
+@use "../../styles/typography" as type;
+
+.content {
+  display: grid;
+  gap: 14px;
+}
+
+.source {
+  display: grid;
+  gap: 6px;
+
+  code {
+    overflow-wrap: anywhere;
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+  }
+}
+
+.counts {
+  display: grid;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  gap: 8px;
+
+  > div {
+    display: grid;
+    gap: 3px;
+    padding: 10px;
+    background: var(--vscode-input-background);
+    border: 1px solid var(--vscode-input-border);
+    border-radius: 5px;
+  }
+
+  small {
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+  }
+}
+
+.models {
+  display: grid;
+  gap: 6px;
+}
+
+.model {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 16px;
+  min-width: 0;
+  padding: 9px 10px;
+  background: var(--vscode-list-inactiveSelectionBackground);
+  border-radius: 5px;
+
+  > div {
+    display: grid;
+    min-width: 0;
+    gap: 3px;
+  }
+
+  small {
+    overflow: hidden;
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+  }
+
+  > span {
+    flex: 0 0 auto;
+    font-size: type.$font-size-xs;
+  }
+}
+
+.new {
+  color: var(--vscode-testing-iconPassed, #73c991);
+}
+
+.existing,
+.hint {
+  color: var(--vscode-descriptionForeground);
+}
+
+.hint {
+  font-size: type.$font-size-xs;
+}
+
+@media (max-width: 680px) {
+  .model {
+    align-items: stretch;
+    flex-direction: column;
+  }
+}
@@ -0,0 +1,92 @@
+import { useState, type ReactNode } from "react";
+import { api, type LegacyModelImportPreview } from "../../api";
+import { appStore } from "../../store/appStore";
+import { ConfirmDialog } from "../ui/ConfirmDialog";
+import { useMessage } from "../ui/message";
+import styles from "./LegacyModelImport.module.scss";
+
+type LegacyModelImportControl = {
+  busy: boolean;
+  previewing: boolean;
+  open: () => void;
+};
+
+export function LegacyModelImport({ children }: { children: (control: LegacyModelImportControl) => ReactNode }) {
+  const message = useMessage();
+  const [preview, setPreview] = useState<LegacyModelImportPreview | null>(null);
+  const [previewing, setPreviewing] = useState(false);
+  const [importing, setImporting] = useState(false);
+
+  const open = async () => {
+    try {
+      setPreviewing(true);
+      setPreview(await api.previewV0049Models());
+    } catch (cause) {
+      message(errorText(cause));
+    } finally {
+      setPreviewing(false);
+    }
+  };
+
+  const confirm = async () => {
+    try {
+      setImporting(true);
+      const result = await appStore.importV0049Models();
+      if (!result) {
+        const error = appStore.getSnapshot().error;
+        if (error) message(error);
+        return;
+      }
+      setPreview(null);
+      message(result.imported > 0
+        ? t("导入完成：新增 {imported} 个模型，跳过 {skipped} 个已存在模型", { imported: result.imported, skipped: result.skipped })
+        : t("配置中的 {count} 个模型均已存在，无需重复导入", { count: result.skipped }));
+    } catch (cause) {
+      message(errorText(cause));
+    } finally {
+      setImporting(false);
+    }
+  };
+
+  return <>
+    {children({ busy: previewing || importing, previewing, open: () => void open() })}
+    <ConfirmDialog
+      open={preview !== null}
+      title={t("确认导入旧版模型配置")}
+      busy={importing}
+      wide
+      cancelLabel={t("取消")}
+      confirmLabel={t("确认导入")}
+      onCancel={() => setPreview(null)}
+      onConfirm={() => void confirm()}
+    >
+      {preview && <div className={styles.content}>
+        <div className={styles.source}>
+          <strong>{t("配置文件")}</strong>
+          <code>{preview.source}</code>
+        </div>
+        <div className={styles.counts}>
+          <div><strong>{preview.total}</strong><small>{t("配置模型")}</small></div>
+          <div><strong>{preview.new_models}</strong><small>{t("将新增")}</small></div>
+          <div><strong>{preview.existing_models}</strong><small>{t("已存在")}</small></div>
+        </div>
+        <div className={styles.models}>
+          {preview.models.map((model) => <div className={styles.model} key={model.model_hash}>
+            <div>
+              <strong>{model.display_name}</strong>
+              <small>{model.model_id} · {model.type === "openai" ? "OpenAI" : "Anthropic"}</small>
+            </div>
+            <span className={model.existing ? styles.existing : styles.new}>
+              {model.existing ? t("已存在，跳过") : t("新增")}
+            </span>
+          </div>)}
+        </div>
+        <small className={styles.hint}>{t("重复导入相同配置不会创建重复模型；已经存在的模型会自动跳过。")}</small>
+      </div>}
+    </ConfirmDialog>
+  </>;
+}
+
+function errorText(cause: unknown) {
+  return cause instanceof Error ? cause.message : String(cause);
+}
@@ -11,22 +11,19 @@ import styles from "./OverviewTimeRangeFilter.module.scss";

 export type OverviewRangePreset = "ten-minutes" | "hour" | "today" | "week" | "month" | "custom";

-export function OverviewTimeRangeFilter({ value, customOpen, customStart, customEnd, modelOptions, providerOptions, selectedModels, selectedProviders, busy, onSelect, onCustomOpenChange, onCustomStartChange, onCustomEndChange, onSelectedModelsChange, onSelectedProvidersChange, onCustomApply, onRefresh }: {
+export function OverviewTimeRangeFilter({ value, customOpen, customStart, customEnd, modelOptions, selectedModels, busy, onSelect, onCustomOpenChange, onCustomStartChange, onCustomEndChange, onSelectedModelsChange, onCustomApply, onRefresh }: {
  value: OverviewRangePreset;
  customOpen: boolean;
  customStart: string;
  customEnd: string;
  modelOptions: MultiSelectOption[];
-  providerOptions: MultiSelectOption[];
  selectedModels: string[];
-  selectedProviders: string[];
  busy: boolean;
  onSelect: (value: Exclude<OverviewRangePreset, "custom">) => void;
  onCustomOpenChange: (open: boolean) => void;
  onCustomStartChange: (value: string) => void;
  onCustomEndChange: (value: string) => void;
  onSelectedModelsChange: (value: string[]) => void;
-  onSelectedProvidersChange: (value: string[]) => void;
  onCustomApply: () => void;
  onRefresh: () => void;
 }) {
@@ -109,7 +106,6 @@ export function OverviewTimeRangeFilter({ value, customOpen, customStart, custom
      <label><span>{t("开始时间")}</span><input type="text" placeholder={t("如：2026-08-23 09:00、1小时前")} value={customStart} onChange={(event) => onCustomStartChange(event.target.value)} /></label>
      <label><span>{t("结束时间")}</span><input type="text" placeholder={t("如：现在、2026-08-23 18:00")} value={customEnd} onChange={(event) => onCustomEndChange(event.target.value)} /></label>
      <div className={styles.filterRow}><MultiSelect label={t("模型")} value={selectedModels} options={modelOptions} onChange={onSelectedModelsChange} /></div>
-      <div className={styles.filterRow}><MultiSelect label={t("上游")} value={selectedProviders} options={providerOptions} onChange={onSelectedProvidersChange} /></div>
      <div className={styles.popoverActions}>
        <button type="button" className={controls.secondary} onClick={() => onCustomOpenChange(false)}>{t("取消")}</button>
        <button type="button" className={controls.primary} disabled={!customValid} onClick={onCustomApply}>{t("应用")}</button>
@@ -3,7 +3,9 @@ import {
  currentAppVersion,
  hasNativeAppLifecycle,
  readAutostart,
+  readSilentStart,
  writeAutostart,
+  writeSilentStart,
 } from "../../native/appLifecycle";
 import { updateStore, useUpdateStore } from "../../store/updateStore";
 import { Button } from "../ui/Button";
@@ -19,6 +21,8 @@ export function AppLifecycleSettingsCard() {
  const [version, setVersion] = useState("…");
  const [autostart, setAutostart] = useState(false);
  const [loadingAutostart, setLoadingAutostart] = useState(native);
+  const [silentStart, setSilentStart] = useState(false);
+  const [loadingSilentStart, setLoadingSilentStart] = useState(native);

  useEffect(() => {
    let disposed = false;
@@ -28,6 +32,10 @@ export function AppLifecycleSettingsCard() {
        .then((enabled) => { if (!disposed) setAutostart(enabled); })
        .catch((cause) => message(cause instanceof Error ? cause.message : String(cause)))
        .finally(() => { if (!disposed) setLoadingAutostart(false); });
+      void readSilentStart()
+        .then((silent) => { if (!disposed) setSilentStart(silent); })
+        .catch(() => {})
+        .finally(() => { if (!disposed) setLoadingSilentStart(false); });
    }
    return () => { disposed = true; };
  }, [message, native]);
@@ -45,6 +53,19 @@ export function AppLifecycleSettingsCard() {
    }
  };

+  const toggleSilentStart = async (enabled: boolean) => {
+    try {
+      setLoadingSilentStart(true);
+      await writeSilentStart(enabled);
+      setSilentStart(await readSilentStart());
+      message(enabled ? t("已开启静默启动") : t("已关闭静默启动"));
+    } catch (cause) {
+      message(cause instanceof Error ? cause.message : String(cause));
+    } finally {
+      setLoadingSilentStart(false);
+    }
+  };
+
  const checkUpdate = async () => {
    try {
      const nextVersion = await updateStore.check();
@@ -75,6 +96,18 @@ export function AppLifecycleSettingsCard() {
        onChange={(enabled) => void toggleAutostart(enabled)}
      />
    </div>
+    {autostart && <div className={styles.row}>
+      <div>
+        <strong>{t("静默启动")}</strong>
+        <small>{t("开机启动时不显示主窗口，仅保留系统托盘图标。")}</small>
+      </div>
+      <Switch
+        checked={silentStart}
+        disabled={!native || loadingSilentStart}
+        label={t("静默启动")}
+        onChange={(enabled) => void toggleSilentStart(enabled)}
+      />
+    </div>}
    <div className={styles.row}>
      <div>
        <strong>{t("软件更新")}</strong>
@@ -0,0 +1,78 @@
+@use "../../styles/typography" as type;
+
+.title {
+  min-width: 0;
+  display: flex;
+  align-items: center;
+  gap: 5px;
+}
+
+.content {
+  display: grid;
+  gap: 14px;
+  padding: 16px;
+}
+
+.row {
+  min-width: 0;
+  min-height: 34px;
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 20px;
+}
+
+.description {
+  min-width: 0;
+  display: grid;
+  gap: 5px;
+
+  small {
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+  }
+}
+
+.control {
+  width: min(420px, 62%);
+}
+
+.value {
+  min-width: 0;
+  max-width: 70%;
+  color: var(--vscode-descriptionForeground);
+  overflow-wrap: anywhere;
+  text-align: right;
+}
+
+.headerAction {
+  padding: 4px;
+  color: var(--vscode-textLink-foreground);
+  background: transparent;
+  border: 0;
+  font-size: type.$font-size-xs;
+
+  &:hover { color: var(--vscode-textLink-activeForeground); }
+  &:disabled { opacity: .5; }
+}
+
+.actionGroup {
+  display: flex;
+  align-items: center;
+  gap: 6px;
+}
+
+@media (max-width: 680px) {
+  .row {
+    align-items: stretch;
+    flex-direction: column;
+    gap: 10px;
+  }
+
+  .control,
+  .value {
+    width: 100%;
+    max-width: none;
+    text-align: left;
+  }
+}
@@ -0,0 +1,90 @@
+import cursorIconUrl from "../../assets/icons/cursor.svg";
+import type { TabMode, TabSettings } from "../../api";
+import { Button } from "../ui/Button";
+import { TextInput } from "../ui/FormControls";
+import { Icon } from "../ui/Icon";
+import { Select } from "../ui/Select";
+import { TitledCard } from "../ui/TitledCard";
+import styles from "./TabSettingsCard.module.scss";
+
+export function TabSettingsCard({
+  settings,
+  draft,
+  editing,
+  saving,
+  onDraftChange,
+  onEdit,
+  onCancel,
+  onSave,
+}: {
+  settings: TabSettings | null;
+  draft: TabSettings;
+  editing: boolean;
+  saving: boolean;
+  onDraftChange: (settings: TabSettings) => void;
+  onEdit: () => void;
+  onCancel: () => void;
+  onSave: () => void;
+}) {
+  const modeLabel = (mode: TabMode) => {
+    if (mode === "public") return t("使用公益服务");
+    if (mode === "direct") return t("直连");
+    return t("自定义");
+  };
+  const action = editing ? (
+    <div className={styles.actionGroup}>
+      <Button size="small" disabled={saving} onClick={onCancel}>{t("取消")}</Button>
+      <Button variant="primary" size="small" disabled={saving} onClick={onSave}>{saving ? t("保存中…") : t("保存")}</Button>
+    </div>
+  ) : (
+    <button type="button" className={styles.headerAction} disabled={!settings} onClick={onEdit}>{t("编辑")}</button>
+  );
+
+  return <TitledCard
+    title={<div className={styles.title}><Icon src={cursorIconUrl} size="1.1em" /><span>{t("TAB 设置")}</span></div>}
+    action={action}
+  >
+    <div className={styles.content}>
+      {editing ? <>
+        <div className={styles.row}>
+          <div className={styles.description}>
+            <strong>{t("TAB 选择")}</strong>
+            <small>{t("控制 Cursor TAB 相关接口的连接方式。")}</small>
+          </div>
+          <div className={styles.control}><Select
+            value={draft.mode}
+            ariaLabel={t("TAB 选择")}
+            options={[
+              { value: "public", label: t("使用公益服务") },
+              { value: "direct", label: t("直连") },
+              { value: "custom", label: t("自定义") },
+            ]}
+            onChange={(mode) => onDraftChange({ ...draft, mode: mode as TabMode })}
+          /></div>
+        </div>
+        {draft.mode === "custom" && <div className={styles.row}>
+          <div className={styles.description}>
+            <strong>{t("TAB 服务地址")}</strong>
+            <small>{t("原接口路径会追加到此服务地址。")}</small>
+          </div>
+          <div className={styles.control}><TextInput
+            value={draft.address}
+            placeholder="https://tab.leokun.cn"
+            aria-label={t("TAB 服务地址")}
+            onChange={(event) => onDraftChange({ ...draft, address: event.target.value })}
+            onKeyDown={(event) => { if (event.key === "Enter") onSave(); }}
+          /></div>
+        </div>}
+      </> : <>
+        <div className={styles.row}>
+          <strong>{t("TAB 选择")}</strong>
+          <span className={styles.value}>{settings ? modeLabel(settings.mode) : t("加载中…")}</span>
+        </div>
+        {settings?.mode === "custom" && <div className={styles.row}>
+          <strong>{t("TAB 服务地址")}</strong>
+          <span className={styles.value}>{settings.address}</span>
+        </div>}
+      </>}
+    </div>
+  </TitledCard>;
+}
@@ -1,12 +1,11 @@
-import type { ElementType, ReactNode } from "react";
+import type { ElementType, HTMLAttributes, ReactNode } from "react";
 import styles from "./Card.module.scss";

-type CardProps = {
+type CardProps = HTMLAttributes<HTMLElement> & {
  as?: ElementType;
-  className?: string;
  children: ReactNode;
 };

-export function Card({ as: Component = "div", className, children }: CardProps) {
-  return <Component className={[styles.root, className].filter(Boolean).join(" ")}>{children}</Component>;
+export function Card({ as: Component = "div", className, children, ...props }: CardProps) {
+  return <Component {...props} className={[styles.root, className].filter(Boolean).join(" ")}>{children}</Component>;
 }
@@ -0,0 +1,33 @@
+import { useId, type ReactNode } from "react";
+import { Modal } from "./Modal";
+
+export function ConfirmDialog({ id, open, title, children, busy, wide, cancelLabel = t("取消"), confirmLabel = t("确认"), onCancel, onConfirm }: {
+  id?: string;
+  open: boolean;
+  title: string;
+  children: ReactNode;
+  busy?: boolean;
+  wide?: boolean;
+  cancelLabel?: string;
+  confirmLabel?: string;
+  onCancel: () => void;
+  onConfirm: () => void;
+}) {
+  const contentId = useId();
+  return <Modal
+    id={id}
+    open={open}
+    title={title}
+    busy={busy}
+    wide={wide}
+    role="alertdialog"
+    ariaDescribedBy={contentId}
+    initialFocus="submit"
+    closeLabel={cancelLabel}
+    submitLabel={confirmLabel}
+    onClose={onCancel}
+    onSubmit={onConfirm}
+  >
+    <div id={contentId}>{children}</div>
+  </Modal>;
+}
@@ -52,6 +52,12 @@
  width: min(1080px, calc(100vw - 48px));
 }

+.banner {
+  flex: 0 0 auto;
+  padding: 12px 18px;
+  border-bottom: 1px solid var(--vscode-editorWidget-border);
+}
+
 .body {
  flex: 0 1 auto;
  min-height: 0;
@@ -1,36 +1,100 @@
-import { useEffect, useRef, type ReactNode } from "react";
+import { useEffect, useId, useRef, type ReactNode } from "react";
 import { createPortal } from "react-dom";
 import { ScrollableContent } from "../virtual/ScrollableContent";
 import controls from "./Controls.module.scss";
 import styles from "./Modal.module.scss";

-export function Modal({ id, open, title, children, busy, wide, onClose, onSubmit, secondaryAction, closeLabel = t("取消"), submitLabel = t("保存") }: { id?: string; open: boolean; title: string; children: ReactNode; busy?: boolean; wide?: boolean; onClose: () => void; onSubmit?: () => void; secondaryAction?: ReactNode; closeLabel?: string; submitLabel?: string }) {
+type ModalProps = {
+  id?: string;
+  open: boolean;
+  title: string;
+  children: ReactNode;
+  banner?: ReactNode;
+  busy?: boolean;
+  wide?: boolean;
+  role?: "dialog" | "alertdialog";
+  ariaDescribedBy?: string;
+  initialFocus?: "first" | "submit";
+  onClose: () => void;
+  onSubmit?: () => void;
+  secondaryAction?: ReactNode;
+  closeLabel?: string;
+  submitLabel?: string;
+};
+
+const focusableSelector = [
+  "a[href]",
+  "button:not([disabled])",
+  "input:not([disabled])",
+  "select:not([disabled])",
+  "textarea:not([disabled])",
+  "[tabindex]:not([tabindex='-1'])",
+].join(",");
+
+function focusableElements(root: HTMLElement) {
+  return [...root.querySelectorAll<HTMLElement>(focusableSelector)]
+    .filter((element) => element.getClientRects().length > 0);
+}
+
+export function Modal({ id, open, title, children, banner, busy, wide, role = "dialog", ariaDescribedBy, initialFocus = "first", onClose, onSubmit, secondaryAction, closeLabel = t("取消"), submitLabel = t("保存") }: ModalProps) {
  const dialog = useRef<HTMLDivElement>(null);
+  const submitButton = useRef<HTMLButtonElement>(null);
  const closeRef = useRef(onClose);
  const busyRef = useRef(Boolean(busy));
+  const titleId = useId();
  closeRef.current = onClose;
  busyRef.current = Boolean(busy);
  useEffect(() => {
    if (!open) return;
    const previous = document.activeElement as HTMLElement | null;
-    const onKey = (event: KeyboardEvent) => { if (event.key === "Escape" && !busyRef.current) closeRef.current(); };
+    const onKey = (event: KeyboardEvent) => {
+      if (event.key === "Escape" && !busyRef.current) {
+        event.preventDefault();
+        closeRef.current();
+        return;
+      }
+      if (event.key !== "Tab" || event.defaultPrevented || !dialog.current) return;
+      const focusable = focusableElements(dialog.current);
+      if (!focusable.length) {
+        event.preventDefault();
+        dialog.current.focus();
+        return;
+      }
+      const first = focusable[0];
+      const last = focusable.at(-1)!;
+      const active = document.activeElement;
+      if (event.shiftKey && (active === first || !dialog.current.contains(active))) {
+        event.preventDefault();
+        last.focus();
+      } else if (!event.shiftKey && (active === last || !dialog.current.contains(active))) {
+        event.preventDefault();
+        first.focus();
+      }
+    };
    document.addEventListener("keydown", onKey);
-    requestAnimationFrame(() => dialog.current?.querySelector<HTMLElement>("input,button")?.focus());
+    const focusFrame = requestAnimationFrame(() => {
+      const currentDialog = dialog.current;
+      if (!currentDialog) return;
+      const target = initialFocus === "submit" ? submitButton.current : focusableElements(currentDialog)[0];
+      (target ?? currentDialog).focus();
+    });
    return () => {
+      cancelAnimationFrame(focusFrame);
      document.removeEventListener("keydown", onKey);
      if (previous && document.contains(previous)) previous.focus();
    };
-  }, [open]);
+  }, [initialFocus, open]);
  if (!open) return null;
  return createPortal(<div className={styles.mask}>
    <div className={styles.dragLayer} data-tauri-drag-region aria-hidden="true" />
-    <div id={id} ref={dialog} className={[styles.dialog, wide && styles.wide].filter(Boolean).join(" ")} role="dialog" aria-modal="true" aria-label={title}>
-      <header>{title}</header>
+    <div id={id} ref={dialog} className={[styles.dialog, wide && styles.wide].filter(Boolean).join(" ")} role={role} aria-modal="true" aria-labelledby={titleId} aria-describedby={ariaDescribedBy} tabIndex={-1}>
+      <header id={titleId}>{title}</header>
+      {banner && <div className={styles.banner}>{banner}</div>}
      <ScrollableContent alwaysShowVertical className={styles.body} viewportClassName={styles.bodyViewport} contentClassName={styles.bodyContent}>{children}</ScrollableContent>
      <footer>
        <button type="button" className={controls.primary} disabled={busy} onClick={onClose}>{closeLabel}</button>
        {secondaryAction}
-        {onSubmit && <button type="button" className={controls.primary} disabled={busy} onClick={onSubmit}>{busy ? t("处理中…") : submitLabel}</button>}
+        {onSubmit && <button ref={submitButton} type="button" className={controls.primary} disabled={busy} onClick={onSubmit}>{busy ? t("处理中…") : submitLabel}</button>}
      </footer>
    </div>
  </div>, document.body);
@@ -5,7 +5,7 @@ import styles from "./Tooltip.module.scss";

 export type TooltipAnchor = VirtualElement;

-export function Tooltip({ anchor, children }: { anchor: TooltipAnchor | null; children: ReactNode }) {
+export function Tooltip({ id, anchor, children }: { id?: string; anchor: TooltipAnchor | null; children: ReactNode }) {
  const tooltipRef = useRef<HTMLDivElement>(null);
  const [position, setPosition] = useState<{ left: number; top: number } | null>(null);

@@ -32,6 +32,7 @@ export function Tooltip({ anchor, children }: { anchor: TooltipAnchor | null; ch
  return createPortal(
    <div
      ref={tooltipRef}
+      id={id}
      className={styles.root}
      role="tooltip"
      style={{ left: position?.left ?? 0, top: position?.top ?? 0, visibility: position ? "visible" : "hidden" }}
@@ -1,4 +1,4 @@
-import { cloneElement, useState, type FocusEventHandler, type MouseEventHandler, type ReactElement } from "react";
+import { cloneElement, useEffect, useId, useState, type FocusEventHandler, type PointerEventHandler, type ReactElement } from "react";
 import { Tooltip, type TooltipAnchor } from "./Tooltip";

 function anchorFor(element: HTMLElement): TooltipAnchor {
@@ -6,26 +6,43 @@ function anchorFor(element: HTMLElement): TooltipAnchor {
 }

 type TriggerProps = {
-  onMouseEnter?: MouseEventHandler<HTMLElement>;
-  onMouseLeave?: MouseEventHandler<HTMLElement>;
+  "aria-describedby"?: string;
+  onPointerMove?: PointerEventHandler<HTMLElement>;
+  onPointerLeave?: PointerEventHandler<HTMLElement>;
+  onPointerDown?: PointerEventHandler<HTMLElement>;
  onFocus?: FocusEventHandler<HTMLElement>;
  onBlur?: FocusEventHandler<HTMLElement>;
 };

 export function TooltipTrigger({ label, children }: { label: string; children: ReactElement<TriggerProps> }) {
  const [anchor, setAnchor] = useState<TooltipAnchor | null>(null);
+  const tooltipId = useId();
+  useEffect(() => {
+    if (!anchor) return;
+    const close = (event: KeyboardEvent) => { if (event.key === "Escape") setAnchor(null); };
+    document.addEventListener("keydown", close);
+    return () => document.removeEventListener("keydown", close);
+  }, [anchor]);
  const trigger = cloneElement(children, {
-    onMouseEnter: (event) => {
-      children.props.onMouseEnter?.(event);
-      setAnchor(anchorFor(event.currentTarget));
+    "aria-describedby": [children.props["aria-describedby"], anchor ? tooltipId : null].filter(Boolean).join(" ") || undefined,
+    onPointerMove: (event) => {
+      children.props.onPointerMove?.(event);
+      if (event.pointerType !== "touch" && event.buttons === 0) {
+        const element = event.currentTarget;
+        setAnchor((current) => current ?? anchorFor(element));
+      }
    },
-    onMouseLeave: (event) => {
-      children.props.onMouseLeave?.(event);
+    onPointerLeave: (event) => {
+      children.props.onPointerLeave?.(event);
+      setAnchor(null);
+    },
+    onPointerDown: (event) => {
+      children.props.onPointerDown?.(event);
      setAnchor(null);
    },
    onFocus: (event) => {
      children.props.onFocus?.(event);
-      setAnchor(anchorFor(event.currentTarget));
+      setAnchor(event.currentTarget.matches(":focus-visible") ? anchorFor(event.currentTarget) : null);
    },
    onBlur: (event) => {
      children.props.onBlur?.(event);
@@ -35,6 +52,6 @@ export function TooltipTrigger({ label, children }: { label: string; children: R

  return <>
    {trigger}
-    <Tooltip anchor={anchor}>{label}</Tooltip>
+    <Tooltip id={tooltipId} anchor={anchor}>{label}</Tooltip>
  </>;
 }
@@ -32,6 +32,7 @@ export const informationOutlineIcon = icon('<path fill="currentColor" d="M11 9h2
 export const cilBadgeIcon = icon('<path fill="currentColor" d="m328.375 384l3.698 74.999l-75.862-52.719l-76.287 52.769L183.625 384h-32.039l-5.522 112h36.692l73.413-50.78L329.242 496h36.694l-5.522-112zm87.034-229.086l-2.194-48.054L372.7 80.933l-25.932-40.519l-48.055-2.2L256 16.093l-42.713 22.126l-48.055 2.2L139.3 80.933L98.785 106.86l-2.194 48.054l-22.127 42.714l22.127 42.715l2.2 48.053l40.509 25.927l25.928 40.52l48.055 2.195L256 379.164l42.713-22.126l48.055-2.195l25.928-40.52l40.518-25.923l2.195-48.053l22.127-42.715Zm-31.646 76.949L382 270.377l-32.475 20.78l-20.78 32.475l-38.515 1.76L256 343.125l-34.234-17.733l-38.515-1.76l-20.78-32.475L130 270.377l-1.759-38.514l-17.741-34.235l17.737-34.228L130 124.88l32.471-20.78l20.78-32.474l38.515-1.76L256 52.132l34.234 17.733l38.515 1.76l20.78 32.474L382 124.88l1.759 38.515l17.741 34.233Z"/>', 512, 512); // cil:badge
 export const refreshIcon = icon('<path fill="currentColor" d="M17.65 6.35A7.96 7.96 0 0 0 12 4a8 8 0 0 0-8 8a8 8 0 0 0 8 8c3.73 0 6.84-2.55 7.73-6h-2.08A5.99 5.99 0 0 1 12 18a6 6 0 0 1-6-6a6 6 0 0 1 6-6c1.66 0 3.14.69 4.22 1.78L13 11h7V4z"/>'); // mdi:refresh
 export const trashIcon = icon('<path fill="currentColor" d="M6 19a2 2 0 0 0 2 2h8a2 2 0 0 0 2-2V7H6zM8 9h8v10H8zm7.5-5l-1-1h-5l-1 1H5v2h14V4z"/>'); // mdi:delete-outline
+export const dragIcon = icon('<path fill="currentColor" d="M7 4h2v2H7zm8 0h2v2h-2zM7 11h2v2H7zm8 0h2v2h-2zM7 18h2v2H7zm8 0h2v2h-2z"/>'); // mdi:drag-vertical
 export const checkIcon = icon('<path fill="currentColor" d="M21 7L9 19l-5.5-5.5l1.41-1.41L9 16.17L19.59 5.59z"/>');
 export const chevronDownIcon = icon('<path fill="currentColor" d="M7.41 8.58L12 13.17l4.59-4.59L18 10l-6 6l-6-6z"/>');
 export const chevronLeftIcon = icon('<path fill="currentColor" d="M15.41 16.58L10.83 12l4.58-4.59L14 6l-6 6l6 6z"/>');
@@ -1,27 +1,25 @@
 {
+  "0006d696d8e1ec28": "New",
  "00929f23850e4ff0": "Successful calls: {count}",
  "01f3e69a5a9b2c9b": "The key required to access the model service.",
-  "025b70bde54ed1ef": "Whether Cursor can select and use this model.",
  "028a4de61bff743d": "Regular input: {tokens} × ${price}/1M = {cost}",
  "03ff62ab4b818492": "Cache write: {tokens} × ${price}/1M = {cost}",
  "051836569928a9f9": "Edit",
  "05468af47054d488": "Connectivity test for {model} succeeded ({duration} ms)",
  "0580e0a99a6f1afc": "Artifacts",
-  "05912a17829faacc": "All call records and detailed traces will be deleted. Providers, models, CA, and application settings are unaffected. This action cannot be undone.",
  "076832c1b2de22c3": "Cache write: {tokens}",
  "07879e064ae16542": "Estimated output: {tokens}",
-  "07ec86e0f1d44f91": "Created",
+  "07c657ed4747126e": "Anthropic extra parameters",
  "08d742566ffc9fa3": "Clear all statistics?",
+  "092b520558eff5f2": "Not tested",
  "099008ea7a42ebd1": "All custom Header values must be strings",
  "09ebc2643631ba25": "Estimated value",
-  "0a5f9a892960a00a": "Updated",
  "0b96da34f6fbdd3b": "Cache read: {tokens} × ${price}/1M = {cost}",
-  "0bd20614caf56647": "Select or enter multiple models. When adding in bulk, each display name defaults to its model name.",
-  "0c2fee621d406ea7": "Select an existing provider or create a new one.",
  "0c70665b6eb65f1a": "No",
  "0c72229b7db0e1a9": "Model output",
  "0d5e2bdb15579fc4": "Messages",
  "0e41f8e3d59ec47b": "Storage management",
+  "0e67021ebf0a3580": "Import complete: added {imported} models and skipped {skipped} existing models",
  "0ec1e85b0c3cfa65": "Call details",
  "105a9082c346f958": "Testing…",
  "124be3f86f197802": "Token usage",
@@ -31,12 +29,10 @@
  "13a9ac7a68c5fd96": "The CA is stored only on this device and is used to securely inspect Cursor HTTPS requests.",
  "13b61c5f697b6700": "Cache hit rate",
  "146da2e2a991493e": "Fetching…",
-  "15d76f1c211cc140": "Leave blank to keep the current API Key.",
+  "15730c19fd7eef51": "Request protocol",
  "168e845a86bc3703": "Add model",
-  "16aa4ae1427fccce": "Custom Headers JSON",
  "16d0d7e2b332af72": "Total calls: {count}",
  "1813d362a82fd437": "Maximize window",
-  "18d25065b3f7db39": "The full request URL is required",
  "19658d9fa9aa8de4": "Installing…",
  "1a3f0617d6de8e52": "Username",
  "1ae6b0a0f8266382": "Close window",
@@ -45,26 +41,33 @@
  "1c6926877b1bbfb2": "Total requests: {tokens}",
  "1cb7e646ac883fb2": "Proxy port",
  "1cdde778cfe6a130": "Formula: cache read / (cache read + non-cached input)",
-  "1cef73a53d7ad0f2": "For example: OpenAI",
+  "1d27f02ed278ebc9": "Configuration file",
  "1f9b46e61efcccb5": "Filter: {label}, {summary}",
-  "21296ab18ad9af25": "Extra parameters JSON",
+  "202064bb84804852": "Leave blank to use the default.",
+  "20e14248fd4fb981": "{label} must be an integer greater than 0",
  "217cfe7db1e3d10a": "Use system language",
  "22c6b4eb4caee6ae": "Proxy settings saved",
  "23e49479e15e6770": "Version {version} is available",
+  "24a0a24864454575": "Existing, skipped",
+  "2555d6c7fbb7e070": "Enter a model ID directly or load models returned by the API.",
  "29585d7193539200": "Current version {version}",
  "29fbbef32a6eb58b": "Do not show this ad again",
  "2a2773134a829016": "Aggregated from historical LLM calls; in-progress calls are excluded.",
+  "2caeaec539e78898": "Thinking budget tokens",
  "2cd0f3be8738a86c": "Cancel",
  "2d30c2a98ebb5278": "Current: {rate}",
  "2eb2bf7c6597ab9a": "Detailed records",
-  "2f1b67cdaa23351a": "Custom full request URL",
+  "2f280a8120c0db12": "Used only for display and does not change the model name sent to the model service.",
  "2f4a361f878176d1": "{label} must be valid JSON",
  "2f4a9609285d8f49": "TAB settings saved",
  "2f5f1d6fbfb061ed": "Not set",
  "2f6416a2c424856b": "Final request URL",
+  "2f7ba5fd1d12f7f9": "Open the tutorial?",
  "2f7dec3be28d7597": "{count} selected",
  "2f9daa828907b93f": "Delete",
+  "346ff60e6c7c5181": "Reading…",
  "36f33adaf0942634": "Confirm",
+  "37125ef2e1d707cb": "Server address or complete request URL, API Key, model name, display name, and note are required",
  "378bb0eec39fa8a2": "Last page",
  "37cb98ff4d5dcfcc": "Successful {successful} / failed {failed}",
  "393df9bb13ea4900": "Hit",
@@ -74,7 +77,7 @@
  "3a0fb74abe2460b6": "Chunks",
  "3a3f595df70ec8ff": "Clear storage",
  "3a5040b68abf75f9": "Select all",
-  "3bd5b3f538e3270a": "New provider",
+  "3a8c76b2ce785f96": "Review and import",
  "3c94b4c75940c178": "Input Tokens",
  "3cfae5728b92b334": "Token usage: {tokens}",
  "3d13868593ae4eeb": "Display language",
@@ -88,13 +91,17 @@
  "43cb41d62de2d179": "Proxy requires authentication",
  "461d6a57900c2ed7": "Connectivity test failed: {error}",
  "470049252e54de6a": "Success rate: {rate}",
+  "47d1c20aa017ff05": "Hide the main window on startup and keep only the tray icon.",
  "48b970b568a7f8f9": "Proxy settings",
  "48d8db17bae06246": "{count} total",
  "492042ed1fdc29ed": "Version {version} is ready to install",
  "4927a53bcc886afb": "Loading…",
-  "493e097fac6bd217": "Providers",
  "497c85690c4cc0fc": "No data",
+  "499c729eb09aa2a6": "Context window tokens",
+  "4a8d6841b4023edf": "Confirm import",
+  "4b458e6e147221d7": "The standard endpoint path is appended automatically for the selected protocol.",
  "4d0680f9efaef147": "Unread",
+  "4e30d7c9ed2b0eee": "Not set",
  "4eafa9e925b30bcd": "Custom",
  "51d04bc3d286f018": "Last calendar day",
  "51de3bcec137ab1b": "Connectivity tests succeeded for all {count} models",
@@ -102,15 +109,18 @@
  "5401344227e49e2f": "TAB settings",
  "54644705e9c61009": "Port settings",
  "54c53e5fe791d1f3": "Initialize CA",
+  "54e6745ff43c9c74": "Unable to save model order",
  "550eddc3c7fefa99": "Sponsored",
-  "555737734a6371e6": "Delete provider",
  "56432ba297009bdc": "Initialize the CA first",
+  "56627c94a9decee6": "Maximum output tokens",
+  "576d81bb0631b165": "Import",
+  "5886afc1c71df1fe": "Shown in the Cursor model description.",
  "59346e82b3dd2998": "TAB service address",
+  "5a284a1a2be8da0e": "Read models from the local legacy configuration. New and existing models are shown before confirmation.",
  "5a3bd99fa69a40c1": "Use public service",
-  "5ae715656ffbc35d": "Merge into the request body for every model from this provider.",
  "5b17f59d33bde39e": "Error: {error}",
  "5c55a67935af8f45": "All",
-  "5cca0b7972a11f3a": "Custom context must be an integer greater than 0",
+  "5cae248525cb9140": "All call records and detailed traces will be deleted. Model configuration, CA, and application settings are unaffected. This action cannot be undone.",
  "5d59857bf039cac9": "Cursor Assistant v{version}",
  "5f8d556a9c47da3c": "Launch at login disabled",
  "5f9acfb945229062": "Are you sure you no longer want to see this ad?",
@@ -121,6 +131,7 @@
  "621f63a5f08384ac": "Cache read: {tokens}",
  "6320b4a8722a851f": "Status",
  "63c73c4730f4473e": "Apply",
+  "63d90d977348ab1f": "Duplicate",
  "6478a5f1218c484e": "Use the desktop app to copy to the system clipboard",
  "651f274470153a05": "Software updates",
  "652ec5d40c29fd6a": "Speed {speed} tokens/s · first token {firstText} ms · total {duration} ms · output {tokens} tokens{estimated} · response: {output}",
@@ -128,7 +139,7 @@
  "656ab25e264cc4e4": "No models are available to Cursor yet",
  "65a6318e07ec1e07": "Tools",
  "65cb9a7b4f620b6b": "Prompt {tokens}",
-  "68152165b3348852": "Select the request protocol used by this provider.",
+  "68ad603fafe4e0d6": "Import legacy configuration",
  "68ea5dd4d7af20e6": "System settings",
  "6a9906c79f26c0ba": "Start time",
  "6aa8f49cc992dfd7": "Test",
@@ -136,70 +147,68 @@
  "6d1876364ac6457d": "Proxy mode",
  "6e86570183c3cdd0": "You're up to date",
  "7005693f4f050bce": "Cache I/O {cost}",
-  "71eb2c6fce991a29": "Add provider",
-  "722e156c20650a3f": "Use macOS or Windows.",
+  "736c9dc2a04c65fd": "The model configuration changed. Refresh and try again.",
  "7392e20d61abaa07": "Also store complete requests and streamed responses; by default only timing, status, and usage are stored.",
-  "75844712d53a24de": "Values must be strings; when editing, null keeps the original value of the corresponding sensitive Header.",
  "788db1cfec2a3db5": "Theme",
  "7995087e5a3dfe66": "Restore window",
  "7a2229f6a6d330a5": "Open a terminal from the desktop app to install the CA",
  "7a3cec4ca715de80": "Call statistics",
  "7ba2d6728fe2531b": "Confirm clear",
+  "7cea2f3c46565d29": "OpenAI extra parameters",
  "7d9f043f8f7ab45c": "Version {version} is available in Settings",
  "7e0891860c9e6374": "TAB service address is required",
-  "7e1845870b528392": "Enable model",
  "7e1f06318e80c3af": "Statistics cleared",
-  "7e9ab9ada2cbf2cb": "Name and Base URL are required",
+  "7e7df68f2a82e09e": "Importing the same configuration again will not create duplicate models. Existing models are skipped automatically.",
  "7f3c8312816fe26a": "Refreshing…",
  "7f68ebad19ba6bcd": "Check for updates",
-  "80a57e03f0717f91": "Not configured",
  "811a3b22a5a7f2d5": "Unable to connect to the local management service",
  "83fcfb4c1f2c1641": "Fetch models",
  "842b9f11cdd96bda": "Launch at login",
-  "84924374710e03bd": "Base URL must be a valid URL",
+  "843ac7e15a5047a7": "Confirm legacy model configuration import",
+  "864597982c308d72": "Silent start enabled",
  "86b7355ec3bd55ef": "Hide API Key",
  "8716e1344b0daddb": "Cursor official",
  "878a8ab176429a86": "View instructions",
-  "883cc47637fe70f3": "Custom request headers appended to every request for this provider. Values must be strings.",
+  "89a101b809be7cfc": "This address is used exactly as entered without changing or appending the request path.",
  "8a8542f6964852dc": "Next page",
  "8b6ff498515bcc2f": "Time",
+  "8ccaf87ddb9ca3f4": "Legacy configuration",
  "8d0c47eb9eac2d34": "Call type",
  "8df48894086d6fbd": "Reason (optional)",
+  "8e2d04638a11a7cb": "Only determines the request and response format; it does not change the request URL.",
+  "8ea973394446abba": "Cursor Configuration",
  "8f9b0d6cc477d334": "Choose how Cursor connects to TAB endpoints.",
  "90800c48a1dd0655": "{label} must be a JSON object",
  "919cb0ce0c8db4e7": "Leave blank to keep the current password",
  "91aaf184cfc17ffd": "Overview",
-  "91ee087c3d4f3220": "Supports a complete HTTP(S) URL or a relative path beginning with /, combined with the provider URL.",
  "940a168911ade998": "Items per page",
  "946b3ffc02f026c0": "Delete this model?",
-  "94803f35c825e47a": "Full request URL",
-  "94df1e7f04815daf": "Used only for display; does not change the model name sent to the provider.",
-  "95f76d30c25d5eda": "CA installation is not supported on this system",
  "966498853d801a52": "TAB connection",
  "9850ed41a5bfbb0c": "{count} selected",
  "997ec8201c2adeda": "Open terminal to install CA",
-  "9a026819dd1af5c5": "Enter a model identifier directly or select one returned by the current provider.",
-  "9ac0ac940982895d": "Select provider",
+  "9b1b7ed518ee401d": "This will open the tutorial in your system browser. Continue?",
  "9c41b3a9e12ac994": "Reasoning effort",
-  "9d8f2ef4e85ea665": "Custom context tokens",
+  "9e356080c56877f8": "Silent start disabled",
  "9e46da6923836182": "For example: 2026-08-23 09:00, 1 hour ago",
  "9f6fee1aba17a565": "Language",
  "9fb48101d237ff96": "Last week",
  "a026f37e613cf48b": "Output Tokens",
  "a03a1a0cb35414f8": " must be an integer from 0 to 65535",
+  "a0c42c24e74f8380": "{name} Copy",
  "a1a42cd9b16e2162": "Application",
-  "a2901cd2743c1921": "The API root URL for the model service. Changing it also updates the routing identity of this provider's models.",
+  "a1b8c98f29374a2f": "Silent start",
  "a3030bf8f16dc63c": "Save",
+  "a340bdf12a15fd80": "All {count} models in this configuration already exist; nothing needs to be imported",
  "a363743025795ec7": "I've initialized it — refresh",
  "a3ab741ceb188e9e": "Request content was not recorded. Enable detailed records and try again.",
  "a49ffd73bc85333d": "Average",
+  "a5fb6189a8ad011d": "Open tutorial",
  "a621ab606db2a11f": "Password",
  "a693d69af48bfe48": "Save and test",
  "a748cc074f78de00": "View details",
+  "a7617f42f898b2bf": "Use complete request URL",
+  "a8036485f9227f2c": "Drag to reorder",
  "a98585871c5313ff": "Display name",
-  "a9ab292ea9feecdc": "Provider",
-  "aa678e13bda90e3c": "Custom Header values must be strings or null",
-  "ab2f31f30acf7fda": "Protocol",
  "ab9084a640fbb864": "Deselect all",
  "abecab6701177721": "Launch at login enabled",
  "ac69f68b7010ec79": "Download and install",
@@ -207,30 +216,27 @@
  "ae2d0b7f79cea4a3": "Model output: {tokens} × ${price}/1M = {cost}",
  "aee88743413144a2": "Refresh",
  "b06325c5660f0c29": "Direct",
+  "b16c3b2ecedd6fe1": "Cursor integration is active. Add a model configuration to use a BYOK model.",
  "b4411558b932266f": "Provider type",
  "b502b1d414664337": "Prompt: {tokens}",
  "b5141d3d19e9a048": "Yes",
-  "b710ec36ad312918": "The model service API root URL, for example https://api.openai.com/v1.",
  "b75a46aad3e7c132": "Non-cached input: {tokens}",
  "b79354009c614ae9": "Statistics",
  "b86967982067d295": " (estimated)",
  "b89a0e4584f27ab5": "Open terminal",
  "b8c9b486c83b5778": "Hide ad",
  "b9670c85a4ab939e": "Route",
-  "b97ad406809572e1": "Enable reasoning",
  "b9af2de88d903be7": "Proxy address",
  "baff6c144180b185": "Connectivity tests completed: {successful} succeeded, {failed} failed",
  "bb2b7736433ae867": "Cursor tracing",
  "bb7efdcb6af6e805": "Default dark",
  "bda62ce1d5e4ace9": "Tell us why",
  "bf57afd709694b55": "Overview time range",
-  "bf84379b75735037": "Edit provider",
  "bfc01caf9fe0c841": "Cache hit rate {rate}",
  "c1e98892a77f7a19": "{count} per page",
  "c3760858cdb6d9f4": "Request body",
-  "c62a58459251b02c": "Image generation",
-  "c6cc835023617457": "Custom context",
  "c7ea2c9bc43134bd": "Edit model",
+  "c8c14507b2d37395": "Reasoning effort",
  "c8df3c14a003bfcd": "Unable to load call details",
  "c98e118e0a43f078": "Model",
  "c9b9ae7a61444ab7": "Previous page",
@@ -239,24 +245,21 @@
  "cea1aafe9416de7b": "Request headers",
  "cfae1a14d2120c57": "Detailed mode",
  "cfe085015632e9c8": "The local management service port used by the desktop frontend. Enter 0 to select a random port at startup.",
-  "cfe999e50be8ef54": "Whether the model declares image-generation support.",
  "d0bfccc77315d887": "Last month",
-  "d15a909c3490a7e0": "Endpoint type",
-  "d27db596b73a0a66": "For example: 272000",
+  "d1251cd752d4ec25": "Leave blank to use adaptive thinking.",
  "d2d648bd1c94b7f9": "Authentication",
-  "d30d35c5ec4a888d": "Select or enter at least one model",
  "d34335433395cd3a": "Start Cursor BYOK automatically after signing in.",
+  "d3716cc5a2f5a810": "Server address",
  "d3d21191f32e79a5": "Processing…",
-  "d44e9b3d3b31d37b": "Name",
-  "d667c1616e31c4c4": "Leave blank to keep the current key",
  "d86fa42c3848c680": "Use system proxy",
  "d8c47e9776cf1082": "Main menu",
  "da521d1c1cbd36af": "Authorization is required to install the certificate",
  "da7ae985487c38e6": "Last hour",
-  "db0a1393f05aa4bd": "Inherits the provider by default; override it for this model if needed.",
+  "daede9881787abe7": "Notes",
+  "dbd3596e4a86f3c2": "Configured models",
  "ddde16f8839da3ce": "Total requests",
-  "de8184da1ef88d03": "Configured",
  "dea7749c4cd77e6d": "Total request Tokens include the prompt and model output.",
+  "df1baa9f706d970b": "To add",
  "df3d58c7d84b85f2": "Settings",
  "df8b71c74d9b8478": "Response stream",
  "dfb802238b38fbd4": "Enabled",
@@ -264,31 +267,29 @@
  "e0fae77446a389a3": "Speed: {speed} tokens/s",
  "e1295adecbb77755": "Close ad",
  "e14115de7f7c5795": "Token usage over the past year",
-  "e14a5eee9b0b0f9f": "Whether the model declares reasoning support.",
  "e14f20d572c02611": "Provider call sequence",
+  "e17a5b9c90cda6ab": "Model duplicated",
  "e18516550b9a5105": "No usage",
  "e24ebe4a866d69bf": "Test failed: {error}",
  "e25bf3f419bb68f0": "Call history",
  "e3fee05f688708b4": "LLM calls",
+  "e4760c6a1df24f17": "Complete request URL",
  "e5043c7a2b408271": "Last 10 minutes",
  "e59ae97924d62f01": "First page",
  "e5b9961a0d5242e3": "Port settings saved. Restart the app to apply them.",
-  "e671f8c7598139ef": "After entering a token count, it is added as an extra option to the Cursor model Context list. It only takes effect when selected in Cursor.",
-  "e6ca887f22288cde": "Model ID and display name are required",
  "e77e3d58b0dcffaa": "Duration",
+  "e825a2a42c22380e": "Model type",
  "e828bd3a0151edc2": "The local CA must be trusted by the system",
+  "e8b1268c1e3610f2": "Existing",
  "ea26b760e930a7ca": "Call observability",
  "eb11e2df1d8ae387": "Provider URL",
  "eb1be07f2ca6e506": "Estimated using Claude Opus 4.7 pricing.",
  "eb77492c9f76a7e1": "The install command has been copied. Click “Open terminal”, paste it into the terminal, and enter your password when prompted.",
  "ed31fbb483ee1b0a": "Actions",
  "edc70de18c6da1a6": "Install local CA",
-  "ede6d08f397df283": "Cursor settings",
  "ee239f3943293f87": "Sunday",
  "ee6b89a6a740a4c4": "If a port is occupied, a new random port is selected and saved automatically. Restart the app after changing these settings.",
-  "f04c91a6bc3a6926": "Extra parameters",
  "f2bdc88464c51c2e": "Show API Key",
-  "f396118b8afd2a21": "Cursor interception is active. Add a provider and its model configuration to use BYOK models.",
  "f3a76d896853c1df": "Miss",
  "f4694c46b1e19602": "Final request type",
  "f4dcb6a3ceb32247": "Page {page} of {count}",
@@ -1,27 +1,25 @@
 {
+  "0006d696d8e1ec28": "新增",
  "00929f23850e4ff0": "成功调用：{count}",
  "01f3e69a5a9b2c9b": "访问模型服务所需的密钥。",
-  "025b70bde54ed1ef": "模型是否允许被 Cursor 选择使用。",
  "028a4de61bff743d": "普通输入：{tokens} × ${price}/1M = {cost}",
  "03ff62ab4b818492": "缓存写入：{tokens} × ${price}/1M = {cost}",
  "051836569928a9f9": "编辑",
  "05468af47054d488": "模型 {model} 连通性测试成功（{duration} ms）",
  "0580e0a99a6f1afc": "工件数",
-  "05912a17829faacc": "所有调用记录和详细追踪数据都会被删除。供应商、模型、CA 和应用设置不会受到影响，此操作无法撤销。",
  "076832c1b2de22c3": "缓存写入：{tokens}",
  "07879e064ae16542": "输出推算：{tokens}",
-  "07ec86e0f1d44f91": "创建时间",
+  "07c657ed4747126e": "Anthropic 额外参数",
  "08d742566ffc9fa3": "确定要清理所有统计数据吗？",
+  "092b520558eff5f2": "未测试",
  "099008ea7a42ebd1": "自定义 Headers 的值必须都是字符串",
  "09ebc2643631ba25": "价值估算",
-  "0a5f9a892960a00a": "更新时间",
  "0b96da34f6fbdd3b": "缓存读取：{tokens} × ${price}/1M = {cost}",
-  "0bd20614caf56647": "支持选择或输入多个模型；批量添加时显示名称默认使用对应模型名称。",
-  "0c2fee621d406ea7": "选择已有上游，或创建一个新的上游。",
  "0c70665b6eb65f1a": "否",
  "0c72229b7db0e1a9": "模型输出",
  "0d5e2bdb15579fc4": "消息数",
  "0e41f8e3d59ec47b": "存储管理",
+  "0e67021ebf0a3580": "导入完成：新增 {imported} 个模型，跳过 {skipped} 个已存在模型",
  "0ec1e85b0c3cfa65": "调用详情",
  "105a9082c346f958": "测试中…",
  "124be3f86f197802": "Token 消耗",
@@ -31,12 +29,10 @@
  "13a9ac7a68c5fd96": "CA 仅保存在本机，用于安全解析 Cursor 的 HTTPS 请求。",
  "13b61c5f697b6700": "缓存命中率",
  "146da2e2a991493e": "获取中…",
-  "15d76f1c211cc140": "留空表示保留当前 API Key。",
+  "15730c19fd7eef51": "请求协议",
  "168e845a86bc3703": "添加模型",
-  "16aa4ae1427fccce": "自定义 Headers JSON",
  "16d0d7e2b332af72": "总调用：{count}",
  "1813d362a82fd437": "最大化窗口",
-  "18d25065b3f7db39": "请求完整地址不能为空",
  "19658d9fa9aa8de4": "安装中…",
  "1a3f0617d6de8e52": "用户名",
  "1ae6b0a0f8266382": "关闭窗口",
@@ -45,26 +41,33 @@
  "1c6926877b1bbfb2": "总请求：{tokens}",
  "1cb7e646ac883fb2": "代理端口",
  "1cdde778cfe6a130": "公式：缓存读取 /（缓存读取 + 非缓存输入）",
-  "1cef73a53d7ad0f2": "例如：OpenAI",
+  "1d27f02ed278ebc9": "配置文件",
  "1f9b46e61efcccb5": "筛选项：{label}，{summary}",
-  "21296ab18ad9af25": "额外参数 JSON",
+  "202064bb84804852": "留空时使用默认值。",
+  "20e14248fd4fb981": "{label} 必须是大于 0 的整数",
  "217cfe7db1e3d10a": "跟随系统",
  "22c6b4eb4caee6ae": "代理设置已保存",
  "23e49479e15e6770": "发现新版本 {version}",
+  "24a0a24864454575": "已存在，跳过",
+  "2555d6c7fbb7e070": "可以直接输入模型标识，也可以读取接口返回的模型列表。",
  "29585d7193539200": "当前版本 {version}",
  "29fbbef32a6eb58b": "不再显示此广告",
  "2a2773134a829016": "按历史 LLM 调用记录汇总，进行中的调用不计入。",
+  "2caeaec539e78898": "思考预算 Token",
  "2cd0f3be8738a86c": "取消",
  "2d30c2a98ebb5278": "当前：{rate}",
  "2eb2bf7c6597ab9a": "详细记录",
-  "2f1b67cdaa23351a": "自定义请求完整地址",
+  "2f280a8120c0db12": "仅用于界面展示，不会改变发送给模型服务的模型名称。",
  "2f4a361f878176d1": "{label} 必须是有效 JSON",
  "2f4a9609285d8f49": "TAB 设置已保存",
  "2f5f1d6fbfb061ed": "未设置",
  "2f6416a2c424856b": "最终请求地址",
+  "2f7ba5fd1d12f7f9": "打开使用教程？",
  "2f7dec3be28d7597": "已选择 {count} 个",
  "2f9daa828907b93f": "删除",
+  "346ff60e6c7c5181": "读取中…",
  "36f33adaf0942634": "确认",
+  "37125ef2e1d707cb": "服务器地址或完整请求 URL、API Key、模型名称、显示名称和备注不能为空",
  "378bb0eec39fa8a2": "最后一页",
  "37cb98ff4d5dcfcc": "成功 {successful} / 异常 {failed}",
  "393df9bb13ea4900": "命中",
@@ -74,7 +77,7 @@
  "3a0fb74abe2460b6": "分块数",
  "3a3f595df70ec8ff": "清理存储空间",
  "3a5040b68abf75f9": "全选",
-  "3bd5b3f538e3270a": "新建上游",
+  "3a8c76b2ce785f96": "查看并导入",
  "3c94b4c75940c178": "输入 Token",
  "3cfae5728b92b334": "Token 用量：{tokens}",
  "3d13868593ae4eeb": "界面语言",
@@ -88,13 +91,17 @@
  "43cb41d62de2d179": "代理需要认证",
  "461d6a57900c2ed7": "连通性测试失败：{error}",
  "470049252e54de6a": "成功占比：{rate}",
+  "47d1c20aa017ff05": "开机启动时不显示主窗口，仅保留系统托盘图标。",
  "48b970b568a7f8f9": "代理设置",
  "48d8db17bae06246": "共 {count} 条",
  "492042ed1fdc29ed": "版本 {version} 可以安装",
  "4927a53bcc886afb": "加载中…",
-  "493e097fac6bd217": "上游配置",
  "497c85690c4cc0fc": "暂无数据",
+  "499c729eb09aa2a6": "上下文窗口 Token",
+  "4a8d6841b4023edf": "确认导入",
+  "4b458e6e147221d7": "系统会根据请求协议自动追加标准端点路径。",
  "4d0680f9efaef147": "未读",
+  "4e30d7c9ed2b0eee": "不设置",
  "4eafa9e925b30bcd": "自定义",
  "51d04bc3d286f018": "近1自然日",
  "51de3bcec137ab1b": "全部 {count} 个模型连通性测试成功",
@@ -102,15 +109,18 @@
  "5401344227e49e2f": "TAB 设置",
  "54644705e9c61009": "端口设置",
  "54c53e5fe791d1f3": "初始化 CA",
+  "54e6745ff43c9c74": "排序失败",
  "550eddc3c7fefa99": "推广",
-  "555737734a6371e6": "删除上游",
  "56432ba297009bdc": "请先初始化 CA",
+  "56627c94a9decee6": "最大输出 Token",
+  "576d81bb0631b165": "导入",
+  "5886afc1c71df1fe": "显示在 Cursor 模型说明中。",
  "59346e82b3dd2998": "TAB 服务地址",
+  "5a284a1a2be8da0e": "从本机旧版配置读取模型；确认前会显示新增和已存在的模型。",
  "5a3bd99fa69a40c1": "使用公益服务",
-  "5ae715656ffbc35d": "合并到该上游所有模型的请求体。",
  "5b17f59d33bde39e": "错误：{error}",
  "5c55a67935af8f45": "全部",
-  "5cca0b7972a11f3a": "自定义上下文必须是大于 0 的整数",
+  "5cae248525cb9140": "所有调用记录和详细追踪数据都会被删除。模型配置、CA 和应用设置不会受到影响，此操作无法撤销。",
  "5d59857bf039cac9": "Cursor 助手 v{version}",
  "5f8d556a9c47da3c": "已关闭开机启动",
  "5f9acfb945229062": "你确认不想再看到此广告吗？",
@@ -121,6 +131,7 @@
  "621f63a5f08384ac": "缓存读取：{tokens}",
  "6320b4a8722a851f": "状态",
  "63c73c4730f4473e": "应用",
+  "63d90d977348ab1f": "复制",
  "6478a5f1218c484e": "请在桌面应用中复制到系统剪贴板",
  "651f274470153a05": "软件更新",
  "652ec5d40c29fd6a": "速度 {speed} tokens/s · 首字 {firstText} ms · 总耗时 {duration} ms · 输出 {tokens} tokens{estimated} · 返回：{output}",
@@ -128,7 +139,7 @@
  "656ab25e264cc4e4": "还没有可供 Cursor 使用的模型",
  "65a6318e07ec1e07": "工具数",
  "65cb9a7b4f620b6b": "提示词 {tokens}",
-  "68152165b3348852": "选择上游服务使用的请求协议。",
+  "68ad603fafe4e0d6": "导入旧版配置",
  "68ea5dd4d7af20e6": "系统设置",
  "6a9906c79f26c0ba": "开始时间",
  "6aa8f49cc992dfd7": "测试",
@@ -136,70 +147,68 @@
  "6d1876364ac6457d": "代理方式",
  "6e86570183c3cdd0": "当前已是最新版本",
  "7005693f4f050bce": "缓存读写 {cost}",
-  "71eb2c6fce991a29": "添加上游",
-  "722e156c20650a3f": "请使用 macOS 或 Windows。",
+  "736c9dc2a04c65fd": "模型配置已发生变化，请刷新后重试",
  "7392e20d61abaa07": "额外保存完整请求和流响应；默认只保存时间、状态与用量。",
-  "75844712d53a24de": "值必须是字符串；编辑时 null 表示保留对应敏感 Header 的原值。",
  "788db1cfec2a3db5": "主题",
  "7995087e5a3dfe66": "还原窗口",
  "7a2229f6a6d330a5": "请在桌面应用中打开终端安装 CA",
  "7a3cec4ca715de80": "调用统计",
  "7ba2d6728fe2531b": "确认清理",
+  "7cea2f3c46565d29": "OpenAI 额外参数",
  "7d9f043f8f7ab45c": "发现新版本 {version}，可在设置中安装",
  "7e0891860c9e6374": "TAB 服务地址不能为空",
-  "7e1845870b528392": "启用模型",
  "7e1f06318e80c3af": "统计数据已清理",
-  "7e9ab9ada2cbf2cb": "名称和 Base URL 不能为空",
+  "7e7df68f2a82e09e": "重复导入相同配置不会创建重复模型；已经存在的模型会自动跳过。",
  "7f3c8312816fe26a": "刷新中…",
  "7f68ebad19ba6bcd": "检查更新",
-  "80a57e03f0717f91": "未配置",
  "811a3b22a5a7f2d5": "无法连接本地管理服务",
  "83fcfb4c1f2c1641": "获取模型",
  "842b9f11cdd96bda": "开机启动",
-  "84924374710e03bd": "Base URL 必须是有效地址",
+  "843ac7e15a5047a7": "确认导入旧版模型配置",
+  "864597982c308d72": "已开启静默启动",
  "86b7355ec3bd55ef": "隐藏 API Key",
  "8716e1344b0daddb": "Cursor 官方",
  "878a8ab176429a86": "查看说明",
-  "883cc47637fe70f3": "附加到该上游所有请求的自定义请求头，值必须是字符串。",
+  "89a101b809be7cfc": "系统会原样使用此地址，不追加或修改请求路径。",
  "8a8542f6964852dc": "下一页",
  "8b6ff498515bcc2f": "时间",
+  "8ccaf87ddb9ca3f4": "旧版配置",
  "8d0c47eb9eac2d34": "调用类型",
  "8df48894086d6fbd": "原因（可选）",
+  "8e2d04638a11a7cb": "只决定请求与响应的格式，不会改变请求地址。",
+  "8ea973394446abba": "Cursor 配置",
  "8f9b0d6cc477d334": "控制 Cursor TAB 相关接口的连接方式。",
  "90800c48a1dd0655": "{label} 必须是 JSON 对象",
  "919cb0ce0c8db4e7": "留空表示保留当前密码",
  "91aaf184cfc17ffd": "数据概览",
-  "91ee087c3d4f3220": "支持完整 HTTP(S) 地址或以 / 开头、与上游地址组合的相对路径。",
  "940a168911ade998": "每页条数",
  "946b3ffc02f026c0": "确定删除这个模型吗？",
-  "94803f35c825e47a": "请求完整地址",
-  "94df1e7f04815daf": "仅用于界面展示，不会改变发送给上游的模型名称。",
-  "95f76d30c25d5eda": "当前系统暂不支持安装 CA",
  "966498853d801a52": "TAB 选择",
  "9850ed41a5bfbb0c": "已选 {count} 项",
  "997ec8201c2adeda": "打开终端安装 CA",
-  "9a026819dd1af5c5": "可以直接输入模型标识，也可以从当前上游返回的模型列表中选择。",
-  "9ac0ac940982895d": "选择上游",
+  "9b1b7ed518ee401d": "将在系统浏览器中打开使用教程，是否继续？",
  "9c41b3a9e12ac994": "思考强度",
-  "9d8f2ef4e85ea665": "自定义上下文 tokens",
+  "9e356080c56877f8": "已关闭静默启动",
  "9e46da6923836182": "如：2026-08-23 09:00、1小时前",
  "9f6fee1aba17a565": "语言",
  "9fb48101d237ff96": "近一周",
  "a026f37e613cf48b": "输出 Token",
  "a03a1a0cb35414f8": "必须是 0–65535 之间的整数",
+  "a0c42c24e74f8380": "{name} 副本",
  "a1a42cd9b16e2162": "应用设置",
-  "a2901cd2743c1921": "模型服务的 API 根地址；修改后会同步更新该上游模型的路由身份。",
+  "a1b8c98f29374a2f": "静默启动",
  "a3030bf8f16dc63c": "保存",
+  "a340bdf12a15fd80": "配置中的 {count} 个模型均已存在，无需重复导入",
  "a363743025795ec7": "我已初始化，刷新",
  "a3ab741ceb188e9e": "未记录请求内容，请开启详细记录后重试。",
  "a49ffd73bc85333d": "平均",
+  "a5fb6189a8ad011d": "打开教程",
  "a621ab606db2a11f": "密码",
  "a693d69af48bfe48": "保存并测试",
  "a748cc074f78de00": "查看详情",
+  "a7617f42f898b2bf": "使用完整请求地址",
+  "a8036485f9227f2c": "拖动排序",
  "a98585871c5313ff": "显示名称",
-  "a9ab292ea9feecdc": "上游",
-  "aa678e13bda90e3c": "自定义 Headers 的值必须是字符串或 null",
-  "ab2f31f30acf7fda": "协议",
  "ab9084a640fbb864": "全不选",
  "abecab6701177721": "已开启开机启动",
  "ac69f68b7010ec79": "下载并安装",
@@ -207,30 +216,27 @@
  "ae2d0b7f79cea4a3": "模型输出：{tokens} × ${price}/1M = {cost}",
  "aee88743413144a2": "刷新",
  "b06325c5660f0c29": "直连",
+  "b16c3b2ecedd6fe1": "Cursor 接管已生效；添加模型配置后即可使用 BYOK 模型。",
  "b4411558b932266f": "上游类型",
  "b502b1d414664337": "提示词：{tokens}",
  "b5141d3d19e9a048": "是",
-  "b710ec36ad312918": "模型服务的 API 根地址，例如 https://api.openai.com/v1。",
  "b75a46aad3e7c132": "非缓存输入：{tokens}",
  "b79354009c614ae9": "统计数据",
  "b86967982067d295": "（估算）",
  "b89a0e4584f27ab5": "打开终端",
  "b8c9b486c83b5778": "不再显示广告",
  "b9670c85a4ab939e": "路由",
-  "b97ad406809572e1": "启用推理",
  "b9af2de88d903be7": "代理地址",
  "baff6c144180b185": "连通性测试完成：成功 {successful}，失败 {failed}",
  "bb2b7736433ae867": "Cursor 追踪",
  "bb7efdcb6af6e805": "默认暗色",
  "bda62ce1d5e4ace9": "可以告诉我们原因",
  "bf57afd709694b55": "概览时间范围",
-  "bf84379b75735037": "编辑上游",
  "bfc01caf9fe0c841": "缓存命中率 {rate}",
  "c1e98892a77f7a19": "{count} 条/页",
  "c3760858cdb6d9f4": "请求体",
-  "c62a58459251b02c": "图片生成",
-  "c6cc835023617457": "自定义上下文",
  "c7ea2c9bc43134bd": "编辑模型",
+  "c8c14507b2d37395": "推理强度",
  "c8df3c14a003bfcd": "无法加载调用详情",
  "c98e118e0a43f078": "模型",
  "c9b9ae7a61444ab7": "上一页",
@@ -239,24 +245,21 @@
  "cea1aafe9416de7b": "请求头",
  "cfae1a14d2120c57": "详细模式",
  "cfe085015632e9c8": "桌面前端连接的本地管理服务端口；填写 0 时启动时随机选择。",
-  "cfe999e50be8ef54": "是否声明模型支持图片生成。",
  "d0bfccc77315d887": "近一个月",
-  "d15a909c3490a7e0": "端点类型",
-  "d27db596b73a0a66": "例如：272000",
+  "d1251cd752d4ec25": "留空时使用 adaptive thinking。",
  "d2d648bd1c94b7f9": "认证",
-  "d30d35c5ec4a888d": "请至少选择或输入一个模型",
  "d34335433395cd3a": "登录系统后自动启动 Cursor BYOK。",
+  "d3716cc5a2f5a810": "服务器地址",
  "d3d21191f32e79a5": "处理中…",
-  "d44e9b3d3b31d37b": "名称",
-  "d667c1616e31c4c4": "留空以保留当前密钥",
  "d86fa42c3848c680": "使用系统代理",
  "d8c47e9776cf1082": "主菜单",
  "da521d1c1cbd36af": "需要授权安装证书",
  "da7ae985487c38e6": "近1小时",
-  "db0a1393f05aa4bd": "默认继承上游，可为当前模型单独修改。",
+  "daede9881787abe7": "备注",
+  "dbd3596e4a86f3c2": "配置模型",
  "ddde16f8839da3ce": "总请求",
-  "de8184da1ef88d03": "已配置",
  "dea7749c4cd77e6d": "总请求 Token 包含提示词和模型输出。",
+  "df1baa9f706d970b": "将新增",
  "df3d58c7d84b85f2": "设置",
  "df8b71c74d9b8478": "响应流",
  "dfb802238b38fbd4": "已启用",
@@ -264,31 +267,29 @@
  "e0fae77446a389a3": "速度：{speed} tokens/s",
  "e1295adecbb77755": "关闭广告",
  "e14115de7f7c5795": "过去一年的 Token 用量",
-  "e14a5eee9b0b0f9f": "是否声明模型支持推理能力。",
  "e14f20d572c02611": "上游调用序号",
+  "e17a5b9c90cda6ab": "模型已复制",
  "e18516550b9a5105": "无用量",
  "e24ebe4a866d69bf": "测试失败：{error}",
  "e25bf3f419bb68f0": "调用详细",
  "e3fee05f688708b4": "LLM 调用",
+  "e4760c6a1df24f17": "完整请求 URL",
  "e5043c7a2b408271": "近10分钟",
  "e59ae97924d62f01": "第一页",
  "e5b9961a0d5242e3": "端口设置已保存，重启软件后生效",
-  "e671f8c7598139ef": "输入 token 数后，将作为额外选项添加到 Cursor 模型的 Context 列表；只有在 Cursor 中选中该选项时才会生效。",
-  "e6ca887f22288cde": "Model ID 和显示名称不能为空",
  "e77e3d58b0dcffaa": "耗时",
+  "e825a2a42c22380e": "模型类型",
  "e828bd3a0151edc2": "需要在系统中信任本地 CA",
+  "e8b1268c1e3610f2": "已存在",
  "ea26b760e930a7ca": "调用观测",
  "eb11e2df1d8ae387": "上游地址",
  "eb1be07f2ca6e506": "按 Claude Opus 4.7 价格估算。",
  "eb77492c9f76a7e1": "安装命令已自动复制。点击“打开终端”，将命令粘贴到终端中执行，并按提示输入密码。",
  "ed31fbb483ee1b0a": "操作",
  "edc70de18c6da1a6": "安装本地 CA",
-  "ede6d08f397df283": "Cursor 设置",
  "ee239f3943293f87": "周日",
  "ee6b89a6a740a4c4": "端口被占用时会自动选择新的随机端口并保存。修改后需要重启软件才会生效。",
-  "f04c91a6bc3a6926": "额外参数",
  "f2bdc88464c51c2e": "显示 API Key",
-  "f396118b8afd2a21": "Cursor 接管已生效；添加上游及其模型配置后即可使用 BYOK 模型。",
  "f3a76d896853c1df": "未命中",
  "f4694c46b1e19602": "最终请求类型",
  "f4dcb6a3ceb32247": "第 {page} / {count} 页",
@@ -9,11 +9,11 @@ import { FloatingAd } from "../components/ads/FloatingAd";
 import { AdActionType, type AdAction, type AdSlot } from "../components/ads/types";
 import { PageLayout } from "../components/layout/PageLayout";
 import { Card } from "../components/ui/Card";
+import { ConfirmDialog } from "../components/ui/ConfirmDialog";
 import controls from "../components/ui/Controls.module.scss";
 import { Icon } from "../components/ui/Icon";
-import { Modal } from "../components/ui/Modal";
 import { TooltipTrigger } from "../components/ui/TooltipTrigger";
-import { flatColorAboutIcon, flatColorAreaChartIcon, flatColorOrganizationIcon, flatColorSalesPerformanceIcon, flatColorSettingsIcon, refreshIcon } from "../components/ui/icons";
+import { flatColorAboutIcon, flatColorAreaChartIcon, flatColorSalesPerformanceIcon, flatColorSettingsIcon, refreshIcon } from "../components/ui/icons";
 import { useMessage } from "../components/ui/message";
 import { VirtualList } from "../components/virtual/VirtualList";
 import { useI18n } from "../i18n/store";
@@ -27,7 +27,7 @@ type MenuItem =
  | { kind: "external"; id: string; label: string; icon: IconifyIcon | string }
  | { kind: "group"; label: string };

-const keptAlivePages = ["/", "/calls", "/providers", "/settings", "/harness/cursor"];
+const keptAlivePages = ["/", "/calls", "/settings", "/harness/cursor"];
 const readAdStorageKey = "cursor-byok:read-ad-ids";
 const dismissedAdStorageKey = "cursor-byok:dismissed-ad-ids";
 const tutorialReadStorageKey = "cursor-byok:tutorial-read";
@@ -54,6 +54,7 @@ export function AppLayout() {
  const [activeAd, setActiveAd] = useState<AdSlot | null>(null);
  const [dismissCandidate, setDismissCandidate] = useState<AdSlot | null>(null);
  const [dismissReason, setDismissReason] = useState("");
+  const [confirmTutorial, setConfirmTutorial] = useState(false);
  const [tutorialRead, setTutorialRead] = useState(() => {
    try {
      return localStorage.getItem(tutorialReadStorageKey) === "true";
@@ -71,21 +72,23 @@ export function AppLayout() {
  const menuItems: MenuItem[] = [
    { kind: "page", path: "/", label: t("数据概览"), icon: flatColorAreaChartIcon },
    { kind: "page", path: "/calls", label: t("调用详细"), icon: flatColorSalesPerformanceIcon },
-    { kind: "page", path: "/providers", label: t("上游配置"), icon: flatColorOrganizationIcon },
-    { kind: "external", id: "tutorial", label: t("使用教程"), icon: flatColorAboutIcon },
    { kind: "group", label: "Harness" },
+    { kind: "page", path: "/harness/cursor", label: t("Cursor 配置"), icon: cursorIconUrl },
    { kind: "page", path: "/settings", label: t("系统设置"), icon: flatColorSettingsIcon },
-    { kind: "page", path: "/harness/cursor", label: t("Cursor 设置"), icon: cursorIconUrl },
+    { kind: "external", id: "tutorial", label: t("使用教程"), icon: flatColorAboutIcon },
  ];

  const openTutorial = useCallback(() => {
-    setTutorialRead(true);
-    try {
-      localStorage.setItem(tutorialReadStorageKey, "true");
-    } catch {
-      // Read state remains valid for the current session when storage is unavailable.
-    }
+    setConfirmTutorial(false);
    void api.openExternalUrl(tutorialUrl)
+      .then(() => {
+        setTutorialRead(true);
+        try {
+          localStorage.setItem(tutorialReadStorageKey, "true");
+        } catch {
+          // Read state remains valid for the current session when storage is unavailable.
+        }
+      })
      .catch((cause) => message(cause instanceof Error ? cause.message : String(cause)));
  }, [message]);

@@ -195,7 +198,7 @@ export function AppLayout() {
            <button
              type="button"
              aria-label={`${item.label}${tutorialRead ? "" : `，${t("未读")}`}`}
-              onClick={openTutorial}
+              onClick={() => setConfirmTutorial(true)}
            >
              {typeof item.icon === "string"
                ? <Icon src={item.icon} size="1.3em" />
@@ -218,14 +221,25 @@ export function AppLayout() {
      </nav>
    </Card>
    {activeAd && <FloatingAd ad={activeAd} trigger={adTriggers.current.get(activeAd.id) ?? null} onClose={closeAd} onAction={performAdAction} />}
-    <Modal
+    <ConfirmDialog
+      id="open-tutorial-dialog"
+      open={confirmTutorial}
+      title={t("打开使用教程？")}
+      cancelLabel={t("取消")}
+      confirmLabel={t("打开教程")}
+      onCancel={() => setConfirmTutorial(false)}
+      onConfirm={openTutorial}
+    >
+      <p>{t("将在系统浏览器中打开使用教程，是否继续？")}</p>
+    </ConfirmDialog>
+    <ConfirmDialog
      id="dismiss-ad-dialog"
      open={dismissCandidate !== null}
      title={t("不再显示此广告")}
-      closeLabel={t("取消")}
-      submitLabel={t("确认")}
-      onClose={closeDismissAd}
-      onSubmit={() => void dismissAd()}
+      cancelLabel={t("取消")}
+      confirmLabel={t("确认")}
+      onCancel={closeDismissAd}
+      onConfirm={() => void dismissAd()}
    >
      <p>{t("你确认不想再看到此广告吗？")}</p>
      <label className={styles.dismissReason}>
@@ -238,7 +252,7 @@ export function AppLayout() {
          onChange={(event) => setDismissReason(event.target.value)}
        />
      </label>
-    </Modal>
+    </ConfirmDialog>
    <main className={styles.content}>
      <div className={styles.actionRegion}>
        <Card className={styles.actions}>
@@ -3,6 +3,7 @@ import { isTauri } from "@tauri-apps/api/core";
 import { disable, enable, isEnabled } from "@tauri-apps/plugin-autostart";
 import { relaunch } from "@tauri-apps/plugin-process";
 import { check, type Update } from "@tauri-apps/plugin-updater";
+import { api } from "../api";

 export function hasNativeAppLifecycle(): boolean {
  return isTauri();
@@ -20,6 +21,14 @@ export async function writeAutostart(enabled: boolean): Promise<void> {
  await (enabled ? enable() : disable());
 }

+export async function readSilentStart(): Promise<boolean> {
+  return (await api.desktopSettings()).silent_start;
+}
+
+export async function writeSilentStart(silentStart: boolean): Promise<void> {
+  await api.setDesktopSettings({ silent_start: silentStart });
+}
+
 export async function checkForUpdate(): Promise<Update | null> {
  return check();
 }
@@ -1,23 +1,24 @@
-import { useEffect, useMemo, useState } from "react";
-import { api, type Model, type ProviderSelection, type TabSettings } from "../api";
+import { useCallback, useEffect, useState } from "react";
+import { api, type Model, type ModelInput } from "../api";
 import { CursorCaGate, CursorCaProvider, CursorModelGate, CursorModelProvider } from "../components/cursor/CursorGates";
+import { CursorModelCards } from "../components/cursor/CursorModelCards";
 import { CursorModelEditor, emptyCursorModelDraft, type CursorModelDraft } from "../components/cursor/CursorModelEditor";
 import { CursorModelTestResult, type CursorModelTestState } from "../components/cursor/CursorModelTestResult";
-import { TabSettingsCard } from "../components/cursor/TabSettingsCard";
 import styles from "../components/cursor/CursorSettings.module.scss";
 import { PageContent } from "../components/layout/PageContent";
+import { LegacyModelImport } from "../components/models/LegacyModelImport";
+import { ConfirmDialog } from "../components/ui/ConfirmDialog";
 import controls from "../components/ui/Controls.module.scss";
 import { Icon } from "../components/ui/Icon";
 import { Modal } from "../components/ui/Modal";
-import { TitledCard } from "../components/ui/TitledCard";
 import { TooltipTrigger } from "../components/ui/TooltipTrigger";
-import { addIcon, claudeIcon, editIcon, openAiIcon, trashIcon } from "../components/ui/icons";
+import { addIcon } from "../components/ui/icons";
 import { useMessage } from "../components/ui/message";
 import { PageActions } from "../layouts/PageActions";
 import { appStore, useAppStore } from "../store/appStore";

 export function CursorSettingsPage() {
-  const { providers, models, cursorHarness, cursorBusy } = useAppStore();
+  const { models, cursorHarness, cursorBusy } = useAppStore();
  const message = useMessage();
  const [draft, setDraft] = useState<CursorModelDraft | null>(null);
  const [editing, setEditing] = useState<Model | null>(null);
@@ -26,70 +27,71 @@ export function CursorSettingsPage() {
  const [caCommand, setCaCommand] = useState<string | null>(null);
  const [waitingForCaRefresh, setWaitingForCaRefresh] = useState(false);
  const [deleting, setDeleting] = useState<Model | null>(null);
-  const [tabDraft, setTabDraft] = useState<TabSettings | null>(null);
-  const [savingTab, setSavingTab] = useState(false);
  const [testingModelHashes, setTestingModelHashes] = useState<Set<string>>(() => new Set());
  const [modelTestResults, setModelTestResults] = useState<Map<string, CursorModelTestState>>(() => new Map());
  const [savingAndTesting, setSavingAndTesting] = useState(false);
  const [batchTesting, setBatchTesting] = useState(false);
-  const grouped = useMemo(() => providers.map((provider) => ({ provider, models: models.filter((model) => model.provider_id === provider.provider_id) })).filter((group) => group.models.length > 0), [providers, models]);
  const caReady = cursorHarness?.ca === "ready";
+
  useEffect(() => {
-    if (!caCommand) return;
-    void api.copyCursorText(caCommand);
+    if (caCommand) void api.copyCursorText(caCommand);
  }, [caCommand]);
-  useEffect(() => {
-    void api.tabSettings()
-      .then(setTabDraft)
-      .catch((cause) => message(cause instanceof Error ? cause.message : String(cause)));
-  }, [message]);
+
  const initializeCa = async () => {
    const status = await appStore.initializeCursorCa();
    if (status?.ca === "untrusted" && status.ca_install_command) setCaCommand(status.ca_install_command);
  };
-
-  const openNew = () => { setEditing(null); setModelOptions([]); setDraft(emptyCursorModelDraft()); };
-  const openEdit = (model: Model) => {
+  const openNew = () => {
    const next = emptyCursorModelDraft();
-    next.providerMode = String(model.provider_id);
-    next.model = {
-      model_id: model.model_id, display_name: model.display_name, enabled: model.enabled, sort_order: model.sort_order,
-      endpoint_type: model.endpoint_type, request_url: model.request_url,
-      context_window_tokens: model.context_window_tokens, max_output_tokens: null,
-      reasoning_enabled: model.reasoning_enabled, reasoning_effort: null,
-      supports_image_generation: model.supports_image_generation,
-    };
-    next.modelIds = [model.model_id];
-    next.customRequestUrl = Boolean(model.request_url);
-    setEditing(model); setModelOptions([model.model_id]); setDraft(next);
+    next.model.sort_order = models.length + 1;
+    setEditing(null);
+    setModelOptions([]);
+    setDraft(next);
+  };
+  const openEdit = (model: Model) => {
+    setEditing(model);
+    setModelOptions([model.model_id]);
+    setDraft({
+      model: modelInput(model),
+      openAIExtraParamsText: JSON.stringify(model.openai_extra_params, null, 2),
+      customHeadersText: JSON.stringify(model.custom_headers, null, 2),
+      anthropicExtraParamsText: JSON.stringify(model.anthropic_extra_params, null, 2),
+    });
  };
-  const providerSelection = (value: CursorModelDraft): ProviderSelection => value.providerMode === "new"
-    ? { kind: "new", input: { ...value.provider, name: providerName(value.provider.base_url), custom_headers: parseHeaders(value.headersText), extra_params: parseObject(value.extraText, t("额外参数")) } }
-    : { kind: "existing", provider_id: Number(value.providerMode) };
  const discover = async () => {
    if (!draft) return;
    setDiscovering(true);
    try {
-      const discovered = [...new Set((await api.discoverCursorModels(providerSelection(draft))).models)];
-      const existing = draft.providerMode === "new"
-        ? new Set<string>()
-        : new Set(models.filter((model) => model.provider_id === Number(draft.providerMode)).map((model) => model.model_id));
-      setModelOptions(editing ? discovered : discovered.filter((modelId) => !existing.has(modelId)));
+      const custom_headers = parseHeaders(draft.customHeadersText);
+      const result = await api.discoverModels({
+        type: draft.model.type,
+        base_url: draft.model.base_url.trim(),
+        api_key: draft.model.api_key.trim(),
+        custom_headers_enabled: draft.model.custom_headers_enabled,
+        custom_headers,
+      });
+      setModelOptions([...new Set(result.models)]);
    } catch (cause) {
-      message(cause instanceof Error ? cause.message : String(cause));
+      message(errorText(cause));
    } finally {
      setDiscovering(false);
    }
  };
+  const persist = async (): Promise<Model | null> => {
+    if (!draft) return null;
+    const input = draftInput(draft);
+    if (editing) return appStore.updateCursorModel(editing.model_hash, input);
+    return (await appStore.createModels([input]))?.[0] ?? null;
+  };
  const save = async () => {
-    if (!draft) return;
    try {
-      const modelInputs = cursorModelInputs(draft, editing !== null);
-      const saved = editing
-        ? await appStore.updateCursorModel(editing.model_hash, modelInputs[0])
-        : await appStore.createCursorModels(providerSelection(draft), modelInputs);
-      if (saved) { setDraft(null); setEditing(null); }
-    } catch (cause) { message(cause instanceof Error ? cause.message : String(cause)); }
+      if (await persist()) {
+        setDraft(null);
+        setEditing(null);
+      }
+    } catch (cause) {
+      message(errorText(cause));
+    }
  };
  const testModel = async (model: Model, notify = true) => {
    setTestingModelHashes((current) => new Set(current).add(model.model_hash));
@@ -99,7 +101,7 @@ export function CursorSettingsPage() {
      if (notify) message(t("模型 {model} 连通性测试成功（{duration} ms）", { model: model.display_name, duration: result.duration_ms }));
      return true;
    } catch (cause) {
-      const error = cause instanceof Error ? cause.message : String(cause);
+      const error = errorText(cause);
      setModelTestResults((current) => new Map(current).set(model.model_hash, { status: "error", error }));
      if (notify) message(t("连通性测试失败：{error}", { error }), { duration: 5000 });
      return false;
@@ -111,116 +113,135 @@ export function CursorSettingsPage() {
      });
    }
  };
-  const testSingleModel = async (model: Model) => {
-    await testModel(model);
-    await appStore.refresh();
-  };
  const saveAndTest = async () => {
-    if (!draft || !editing) return;
    setSavingAndTesting(true);
    try {
-      const [input] = cursorModelInputs(draft, true);
-      const saved = await appStore.updateCursorModel(editing.model_hash, input);
-      if (!saved) {
-        const error = appStore.getSnapshot().error;
-        if (error) message(error);
-        return;
-      }
+      const saved = await persist();
+      if (!saved) return;
      setEditing(saved);
-      await testSingleModel(saved);
+      await testModel(saved);
+      await appStore.refresh();
    } catch (cause) {
-      message(cause instanceof Error ? cause.message : String(cause));
+      message(errorText(cause));
    } finally {
      setSavingAndTesting(false);
    }
  };
  const testAllModels = async () => {
    if (!models.length || batchTesting) return;
-    const targets = [...models];
    setBatchTesting(true);
    try {
-      const results = await Promise.all(targets.map((model) => testModel(model, false)));
-      await appStore.refresh();
+      const results = await Promise.all(models.map((model) => testModel(model, false)));
      const successful = results.filter(Boolean).length;
-      const failed = targets.length - successful;
+      const failed = models.length - successful;
      message(failed === 0
-        ? t("全部 {count} 个模型连通性测试成功", { count: targets.length })
-        : t("连通性测试完成：成功 {successful}，失败 {failed}", { successful, failed }), { duration: failed === 0 ? 2400 : 5000 });
+        ? t("全部 {count} 个模型连通性测试成功", { count: models.length })
+        : t("连通性测试完成：成功 {successful}，失败 {failed}", { successful, failed }),
+      { duration: failed === 0 ? 2400 : 5000 });
    } finally {
      setBatchTesting(false);
    }
  };
-  const list = <div className={styles.groups}>{grouped.map(({ provider, models: childModels }) => <TitledCard key={provider.provider_id} title={<div className={styles.providerTitle}><Icon icon={provider.provider_type === "anthropic" ? claudeIcon : openAiIcon} /><span>{provider.name}</span></div>}>
-    <div className={styles.models}>{childModels.map((model) => <div className={styles.modelRow} key={model.model_hash}>
-      <div className={styles.modelName}><strong>{model.display_name}</strong><small>{model.model_id} · {model.model_hash}</small></div>
-      {/* <span className={styles.badge}>{model.enabled ? t("已启用") : t("已停用")}</span> */}
-      {modelTestResults.get(model.model_hash) && <CursorModelTestResult state={modelTestResults.get(model.model_hash)!} />}
-      <div className={styles.rowActions}>
-        <button type="button" className={`${controls.secondary} ${controls.small}`} disabled={testingModelHashes.size > 0 || cursorBusy || batchTesting} onClick={() => void testSingleModel(model)}>{testingModelHashes.has(model.model_hash) ? t("测试中…") : t("测试")}</button>
-        <TooltipTrigger label={t("编辑模型")}><button className={controls.iconButton} aria-label={t("编辑模型")} onClick={() => openEdit(model)}><Icon icon={editIcon} size="1.1em" /></button></TooltipTrigger>
-        <TooltipTrigger label={t("删除模型")}><button className={`${controls.iconButton} ${controls.danger}`} aria-label={t("删除模型")} onClick={() => setDeleting(model)}><Icon icon={trashIcon} size="1.1em" /></button></TooltipTrigger>
-      </div>
-    </div>)}</div>
-  </TitledCard>)}</div>;
+  const duplicateModel = async (model: Model) => {
+    const names = new Set(models.map((item) => item.display_name));
+    const baseName = t("{name} 副本", { name: model.display_name });
+    let displayName = baseName;
+    let suffix = 2;
+    while (names.has(displayName)) {
+      displayName = `${baseName} ${suffix}`;
+      suffix += 1;
+    }
+    const created = await appStore.createModels([{
+      ...modelInput(model),
+      sort_order: models.length + 1,
+      display_name: displayName,
+    }]);
+    if (created) message(t("模型已复制"));
+  };
+  const reorderModels = useCallback(async (modelHashes: string[]) => {
+    if (!await appStore.reorderCursorModels(modelHashes)) {
+      message(appStore.getSnapshot().error || t("排序失败"));
+    }
+  }, [message]);
+
+  const list = <CursorModelCards
+    models={models}
+    disabled={testingModelHashes.size > 0 || cursorBusy || batchTesting}
+    testingModelHashes={testingModelHashes}
+    testResults={modelTestResults}
+    onTest={(model) => void testModel(model)}
+    onEdit={openEdit}
+    onDuplicate={(model) => void duplicateModel(model)}
+    onDelete={setDeleting}
+    onReorder={reorderModels}
+  />;

  const refreshCa = async () => {
    await appStore.refresh();
-    if (appStore.getSnapshot().cursorHarness?.ca !== "ready") {
-      setWaitingForCaRefresh(false);
-    }
+    if (appStore.getSnapshot().cursorHarness?.ca !== "ready") setWaitingForCaRefresh(false);
  };
  const openCaTerminal = () => {
-    if (caCommand) void api.openCursorCaInstallTerminal(caCommand);
+    if (caCommand) void api.openCursorCaInstallTerminal(caCommand).catch((cause) => message(errorText(cause)));
    setCaCommand(null);
    setWaitingForCaRefresh(true);
  };
-  const saveTab = async () => {
-    if (!tabDraft) return;
-    try {
-      if (tabDraft.mode === "custom" && !tabDraft.address.trim()) throw new Error(t("TAB 服务地址不能为空"));
-      setSavingTab(true);
-      setTabDraft(await api.setTabSettings(tabDraft));
-      message(t("TAB 设置已保存"));
-    } catch (cause) {
-      message(cause instanceof Error ? cause.message : String(cause));
-    } finally {
-      setSavingTab(false);
-    }
-  };
  const content = <CursorCaProvider><CursorCaGate busy={cursorBusy} waitingForRefresh={waitingForCaRefresh} onInitialize={() => void initializeCa()} onRefresh={() => void refreshCa()}>
    <div className={styles.page}>
-      {tabDraft && <TabSettingsCard settings={tabDraft} saving={savingTab} onChange={setTabDraft} onSave={() => void saveTab()} />}
-      <CursorModelProvider><CursorModelGate onAdd={openNew}>{list}</CursorModelGate></CursorModelProvider>
+      <LegacyModelImport>{({ busy: importingLegacyModels, previewing, open }) =>
+        <CursorModelProvider><CursorModelGate busy={cursorBusy || importingLegacyModels} previewingImport={previewing} onAdd={openNew} onImport={open}>{list}</CursorModelGate></CursorModelProvider>
+      }</LegacyModelImport>
    </div>
  </CursorCaGate></CursorCaProvider>;

+  const editorTestState = editing ? modelTestResults.get(editing.model_hash) : undefined;
+  const editorTesting = savingAndTesting || Boolean(editing && testingModelHashes.has(editing.model_hash));
+
  return <>
-    {models.length > 0 && <PageActions position="left">
-      <button type="button" className={controls.secondary} disabled={cursorBusy || testingModelHashes.size > 0 || batchTesting} onClick={() => void testAllModels()}>{batchTesting ? t("测试中…") : t("一键测试")}</button>
-    </PageActions>}
-    <PageActions>
-      <TooltipTrigger label={caReady ? t("添加模型") : t("请先初始化 CA")}><button className={controls.iconButton} aria-label={t("添加模型")} disabled={!caReady || cursorBusy} onClick={openNew}><Icon icon={addIcon} size="1.1em" /></button></TooltipTrigger>
-    </PageActions>
-    <PageContent title={t("Cursor 设置")} sections={[{ key: "cursor-settings", estimatedHeight: Math.max(430, models.length * 55 + grouped.length * 62 + 145), content }]} />
-    <Modal open={draft !== null} title={editing ? t("编辑模型") : t("添加模型")} busy={cursorBusy || savingAndTesting} onClose={() => setDraft(null)} onSubmit={() => void save()} secondaryAction={editing ? <button type="button" className={controls.secondary} disabled={cursorBusy || savingAndTesting} onClick={() => void saveAndTest()}>{savingAndTesting ? t("测试中…") : t("保存并测试")}</button> : undefined}>
+    {models.length > 0 && <PageActions position="left"><button type="button" className={controls.secondary} disabled={cursorBusy || testingModelHashes.size > 0 || batchTesting} onClick={() => void testAllModels()}>{batchTesting ? t("测试中…") : t("一键测试")}</button></PageActions>}
+    <PageActions><TooltipTrigger label={caReady ? t("添加模型") : t("请先初始化 CA")}><button className={controls.iconButton} aria-label={t("添加模型")} disabled={!caReady || cursorBusy} onClick={openNew}><Icon icon={addIcon} size="1.1em" /></button></TooltipTrigger></PageActions>
+    <PageContent title={t("Cursor 配置")} sections={[{ key: "cursor-settings", estimatedHeight: Math.max(380, Math.ceil(models.length / 3) * 196), content }]} />
+    <Modal open={draft !== null} title={editing ? t("编辑模型") : t("添加模型")} banner={draft && (editorTesting || editorTestState) ? <CursorModelTestResult state={editorTestState} testing={editorTesting} /> : undefined} busy={cursorBusy || savingAndTesting} onClose={() => setDraft(null)} onSubmit={() => void save()} secondaryAction={<button type="button" className={controls.secondary} disabled={cursorBusy || savingAndTesting} onClick={() => void saveAndTest()}>{savingAndTesting ? t("测试中…") : t("保存并测试")}</button>}>
      {draft && <>
-        <CursorModelEditor draft={draft} providers={providers} editing={editing !== null} modelOptions={modelOptions} discovering={discovering} onChange={setDraft} onDiscover={() => void discover()} />
-        {editing && modelTestResults.get(editing.model_hash) && <div className={styles.editorTestResult}><CursorModelTestResult state={modelTestResults.get(editing.model_hash)!} /></div>}
+        <CursorModelEditor draft={draft} modelOptions={modelOptions} discovering={discovering} onChange={setDraft} onDiscover={() => void discover()} />
      </>}
    </Modal>
-    <Modal open={caCommand !== null} title={t("安装本地 CA")} closeLabel={t("关闭")} submitLabel={t("打开终端")} onClose={() => setCaCommand(null)} onSubmit={openCaTerminal}>
-      <div className={styles.editor}>
-        <strong>{t("需要授权安装证书")}</strong>
-        <span>{t("安装命令已自动复制。点击“打开终端”，将命令粘贴到终端中执行，并按提示输入密码。")}</span>
-        <pre className={styles.command}>{caCommand}</pre>
-      </div>
-    </Modal>
-    <Modal open={deleting !== null} title={t("删除模型")} closeLabel={t("取消")} submitLabel={t("删除")} onClose={() => setDeleting(null)} onSubmit={() => { if (deleting) void appStore.deleteModel(deleting.model_hash); setDeleting(null); }}>
-      <p>{t("确定删除这个模型吗？")}</p>
-    </Modal>
+    <ConfirmDialog open={caCommand !== null} title={t("安装本地 CA")} cancelLabel={t("关闭")} confirmLabel={t("打开终端")} onCancel={() => setCaCommand(null)} onConfirm={openCaTerminal}>
+      <div className={styles.editor}><strong>{t("需要授权安装证书")}</strong><span>{t("安装命令已自动复制。点击“打开终端”，将命令粘贴到终端中执行，并按提示输入密码。")}</span><pre className={styles.command}>{caCommand}</pre></div>
+    </ConfirmDialog>
+    <ConfirmDialog open={deleting !== null} title={t("删除模型")} cancelLabel={t("取消")} confirmLabel={t("删除")} onCancel={() => setDeleting(null)} onConfirm={() => { if (deleting) void appStore.deleteModel(deleting.model_hash); setDeleting(null); }}><p>{t("确定删除这个模型吗？")}</p></ConfirmDialog>
  </>;
 }

+function modelInput(model: Model): ModelInput {
+  const { model_hash: _hash, created_at_ms: _created, updated_at_ms: _updated, ...input } = model;
+  return input;
+}
+
+function draftInput(draft: CursorModelDraft): ModelInput {
+  const model = {
+    ...draft.model,
+    display_name: draft.model.display_name.trim(),
+    base_url: draft.model.base_url.trim(),
+    api_key: draft.model.api_key.trim(),
+    tooltip_data: draft.model.tooltip_data.trim(),
+    model_id: draft.model.model_id.trim(),
+    openai_extra_params: parseObject(draft.openAIExtraParamsText, t("OpenAI 额外参数")),
+    custom_headers: parseHeaders(draft.customHeadersText),
+    anthropic_extra_params: parseObject(draft.anthropicExtraParamsText, t("Anthropic 额外参数")),
+  };
+  if (!model.display_name || !model.base_url || !model.api_key || !model.tooltip_data || !model.model_id) throw new Error(t("服务器地址或完整请求 URL、API Key、模型名称、显示名称和备注不能为空"));
+  for (const [label, value] of [[t("上下文窗口 Token"), model.context_window_tokens], [t("最大输出 Token"), model.type === "openai" ? model.max_completion_tokens : model.anthropic_max_tokens], [t("思考预算 Token"), model.thinking_budget_tokens]] as const) {
+    if (value !== null && (!Number.isSafeInteger(value) || value <= 0)) throw new Error(t("{label} 必须是大于 0 的整数", { label }));
+  }
+  return model;
+}
+
+function parseHeaders(text: string): Record<string, string> {
+  const parsed = parseObject(text, t("自定义 Headers"));
+  if (Object.values(parsed).some((value) => typeof value !== "string")) throw new Error(t("自定义 Headers 的值必须都是字符串"));
+  return parsed as Record<string, string>;
+}
+
 function parseObject(text: string, label: string): Record<string, unknown> {
  let parsed: unknown;
  try { parsed = JSON.parse(text || "{}"); } catch { throw new Error(t("{label} 必须是有效 JSON", { label })); }
@@ -228,32 +249,6 @@ function parseObject(text: string, label: string): Record<string, unknown> {
  return parsed as Record<string, unknown>;
 }

-function cursorModelInputs(draft: CursorModelDraft, editing: boolean) {
-  const modelIds = editing
-    ? [draft.model.model_id.trim()]
-    : [...new Set(draft.modelIds.map((modelId) => modelId.trim()).filter(Boolean))];
-  if (!modelIds.length) throw new Error(t("请至少选择或输入一个模型"));
-  if (editing && !draft.model.display_name.trim()) throw new Error(t("Model ID 和显示名称不能为空"));
-  if (draft.customRequestUrl && !draft.model.request_url.trim()) throw new Error(t("请求完整地址不能为空"));
-  if (draft.model.context_window_tokens !== null && (!Number.isSafeInteger(draft.model.context_window_tokens) || draft.model.context_window_tokens <= 0)) throw new Error(t("自定义上下文必须是大于 0 的整数"));
-  return modelIds.map((modelId, index) => ({
-    ...draft.model,
-    model_id: modelId,
-    display_name: modelIds.length === 1 ? draft.model.display_name.trim() || modelId : modelId,
-    sort_order: draft.model.sort_order + index,
-  }));
-}
-
-function providerName(baseUrl: string): string {
-  try {
-    return new URL(baseUrl.trim()).hostname;
-  } catch {
-    throw new Error(t("Base URL 必须是有效地址"));
-  }
-}
-
-function parseHeaders(text: string): Record<string, string> {
-  const parsed = parseObject(text, t("自定义 Headers"));
-  if (Object.values(parsed).some((value) => typeof value !== "string")) throw new Error(t("自定义 Headers 的值必须都是字符串"));
-  return parsed as Record<string, string>;
+function errorText(cause: unknown) {
+  return cause instanceof Error ? cause.message : String(cause);
 }
@@ -30,16 +30,14 @@ function presetRange(preset: Exclude<OverviewRangePreset, "custom">, now = new D
 }

 export function HomePage() {
-  const { overview, busy, models, providers } = useAppStore();
+  const { overview, busy, models } = useAppStore();
  const [preset, setPreset] = useState<OverviewRangePreset>("month");
  const [customRange, setCustomRange] = useState<TimeRange | null>(null);
  const [customOpen, setCustomOpen] = useState(false);
  const [customStart, setCustomStart] = useState("");
  const [customEnd, setCustomEnd] = useState("");
  const [selectedModels, setSelectedModels] = useState<string[]>([]);
-  const [selectedProviders, setSelectedProviders] = useState<string[]>([]);
  const [appliedModels, setAppliedModels] = useState<string[]>([]);
-  const [appliedProviders, setAppliedProviders] = useState<string[]>([]);
  const [rangeOverview, setRangeOverview] = useState<Overview | null>(null);
  const [rangeBusy, setRangeBusy] = useState(false);
  const [refreshVersion, setRefreshVersion] = useState(0);
@@ -52,14 +50,13 @@ export function HomePage() {
    void api.overview({
      ...selectedRange,
      modelHashes: appliedModels,
-      providerIds: appliedProviders.map(Number),
    }).then((next) => {
      if (active) setRangeOverview(next);
    }).finally(() => {
      if (active) setRangeBusy(false);
    });
    return () => { active = false; };
-  }, [preset, customRange, overview, refreshVersion, appliedModels, appliedProviders]);
+  }, [preset, customRange, overview, refreshVersion, appliedModels]);

  const filteredOverview = rangeOverview ?? overview;
  const dailyTokenUsage = filteredOverview.token_usage_series.map((bucket) => ({
@@ -96,7 +93,6 @@ export function HomePage() {
    if (startMs === null || endMs === null || startMs >= endMs) return;
    setCustomRange({ startMs, endMs });
    setAppliedModels(selectedModels);
-    setAppliedProviders(selectedProviders);
    setPreset("custom");
    setCustomOpen(false);
  };
@@ -108,12 +104,7 @@ export function HomePage() {
  const modelOptions = models.map((model) => ({
    value: model.model_hash,
    label: model.display_name,
-    icon: iconFor(model.endpoint_type),
-  }));
-  const providerOptions = providers.map((provider) => ({
-    value: String(provider.provider_id),
-    label: provider.name,
-    icon: iconFor(provider.provider_type),
+    icon: iconFor(model.type),
  }));
  const sections: VirtualPageSection[] = [
    {
@@ -144,16 +135,13 @@ export function HomePage() {
      customStart={customStart}
      customEnd={customEnd}
      modelOptions={modelOptions}
-      providerOptions={providerOptions}
      selectedModels={selectedModels}
-      selectedProviders={selectedProviders}
      busy={busy || rangeBusy}
      onSelect={(value) => { setPreset(value); setCustomOpen(false); }}
      onCustomOpenChange={openCustom}
      onCustomStartChange={setCustomStart}
      onCustomEndChange={setCustomEnd}
      onSelectedModelsChange={setSelectedModels}
-      onSelectedProvidersChange={setSelectedProviders}
      onCustomApply={applyCustom}
      onRefresh={() => void refresh()}
    /></PageActions>
@@ -1,3 +0,0 @@
-.pageContent {
-  height: 100%;
-}
@@ -1,101 +0,0 @@
-import { useState } from "react";
-import type { Provider, ProviderInput } from "../api";
-import { ProviderEditor } from "../components/ProviderEditor";
-import { ProviderTable } from "../components/ProviderTable";
-import { PageContent } from "../components/layout/PageContent";
-import controls from "../components/ui/Controls.module.scss";
-import { Icon } from "../components/ui/Icon";
-import { Modal } from "../components/ui/Modal";
-import { TooltipTrigger } from "../components/ui/TooltipTrigger";
-import { addIcon } from "../components/ui/icons";
-import { useMessage } from "../components/ui/message";
-import { PageActions } from "../layouts/PageActions";
-import { appStore, useAppStore } from "../store/appStore";
-import { defaultCustomHeaders, defaultCustomHeadersText } from "../utils/providerDefaults";
-import styles from "./ProvidersPage.module.scss";
-
-const emptyProvider = (): ProviderInput => ({
-  name: "",
-  provider_type: "openai-chat",
-  base_url: "",
-  api_key: "",
-  custom_headers: { ...defaultCustomHeaders },
-  extra_params: {},
-});
-
-export function ProvidersPage() {
-  const { providers, busy } = useAppStore();
-  const message = useMessage();
-  const [draft, setDraft] = useState<ProviderInput | null>(null);
-  const [editing, setEditing] = useState<Provider | null>(null);
-  const [headersText, setHeadersText] = useState(defaultCustomHeadersText);
-  const [extraText, setExtraText] = useState("{}");
-  const [saving, setSaving] = useState(false);
-
-  const openNew = () => {
-    setEditing(null);
-    setDraft(emptyProvider());
-    setHeadersText(defaultCustomHeadersText);
-    setExtraText("{}");
-  };
-  const openEdit = (provider: Provider) => {
-    setEditing(provider);
-    setDraft({ name: provider.name, provider_type: provider.provider_type, base_url: provider.base_url, api_key: provider.api_key ?? "", custom_headers: provider.custom_headers, extra_params: provider.extra_params });
-    setHeadersText(JSON.stringify(provider.custom_headers, null, 2));
-    setExtraText(JSON.stringify(provider.extra_params, null, 2));
-  };
-  const closeEditor = () => {
-    if (saving) return;
-    setDraft(null);
-    setEditing(null);
-  };
-  const save = async () => {
-    if (!draft) return;
-    try {
-      const name = draft.name.trim();
-      const baseUrl = draft.base_url.trim();
-      if (!name || !baseUrl) throw new Error(t("名称和 Base URL 不能为空"));
-      const input: ProviderInput = {
-        ...draft,
-        name,
-        base_url: baseUrl,
-        api_key: editing && !draft.api_key?.trim() ? undefined : draft.api_key,
-        custom_headers: parseHeaders(headersText),
-        extra_params: parseObject(extraText, t("额外参数")),
-      };
-      setSaving(true);
-      const ok = editing ? await appStore.updateProvider(editing.provider_id, input) : await appStore.createProvider(input);
-      if (ok) {
-        setDraft(null);
-        setEditing(null);
-      }
-    } catch (cause) {
-      message(cause instanceof Error ? cause.message : String(cause));
-    } finally {
-      setSaving(false);
-    }
-  };
-
-  const content = <ProviderTable providers={providers} onEdit={openEdit} onDelete={(provider) => void appStore.deleteProvider(provider.provider_id)} />;
-
-  return <>
-    <PageActions><TooltipTrigger label={t("添加上游")}><button className={controls.iconButton} aria-label={t("添加上游")} disabled={busy} onClick={openNew}><Icon icon={addIcon} size="1.1em" /></button></TooltipTrigger></PageActions>
-    <PageContent fixed title={t("上游")} contentClassName={styles.pageContent} sections={[{ key: "providers", estimatedHeight: 720, content }]} />
-    <Modal open={draft !== null} title={editing ? t("编辑上游") : t("添加上游")} busy={saving} onClose={closeEditor} onSubmit={() => void save()}>
-      {draft && <ProviderEditor value={draft} headersText={headersText} extraText={extraText} editing={editing !== null} onChange={setDraft} onHeadersChange={setHeadersText} onExtraChange={setExtraText} />}
-    </Modal>
-  </>;
-}
-
-function parseHeaders(text: string): Record<string, string | null> {
-  const parsed = parseObject(text, t("自定义 Headers"));
-  if (Object.values(parsed).some((value) => typeof value !== "string" && value !== null)) throw new Error(t("自定义 Headers 的值必须是字符串或 null"));
-  return parsed as Record<string, string | null>;
-}
-
-function parseObject(text: string, label: string): Record<string, unknown> {
-  let parsed: unknown;
-  try { parsed = JSON.parse(text || "{}"); } catch { throw new Error(t("{label} 必须是有效 JSON", { label })); }
-  if (!parsed || Array.isArray(parsed) || typeof parsed !== "object") throw new Error(t("{label} 必须是 JSON 对象", { label }));
-  return parsed as Record<string, unknown>;
-}
@@ -41,6 +41,24 @@
  }
 }

+.importRow {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 20px;
+  padding: 16px;
+
+  > div {
+    display: grid;
+    gap: 5px;
+  }
+
+  small {
+    color: var(--vscode-descriptionForeground);
+    font-size: type.$font-size-xs;
+  }
+}
+
 .textButton {
  padding: 4px;
  color: var(--vscode-textLink-foreground);
@@ -132,6 +150,11 @@
  .portFields {
    grid-template-columns: 1fr;
  }
+
+  .importRow {
+    align-items: stretch;
+    flex-direction: column;
+  }
 }

 .themeActions .selected {
@@ -1,12 +1,14 @@
 import { useEffect, useState } from "react";
-import { api, type ProxySettings, type ProxySettingsInput, type StatisticsStorage } from "../api";
+import { api, type ProxySettings, type ProxySettingsInput, type StatisticsStorage, type TabSettings } from "../api";
 import { PageContent } from "../components/layout/PageContent";
+import { LegacyModelImport } from "../components/models/LegacyModelImport";
 import { AppLifecycleSettingsCard } from "../components/settings/AppLifecycleSettingsCard";
 import { ProxySettingsCard } from "../components/settings/ProxySettingsCard";
+import { TabSettingsCard } from "../components/settings/TabSettingsCard";
 import { Button } from "../components/ui/Button";
 import { Checkbox } from "../components/ui/Checkbox";
+import { ConfirmDialog } from "../components/ui/ConfirmDialog";
 import { FormField, TextInput } from "../components/ui/FormControls";
-import { Modal } from "../components/ui/Modal";
 import { Select } from "../components/ui/Select";
 import { TitledCard } from "../components/ui/TitledCard";
 import { setLocalePreference, useI18n, type LocalePreference } from "../i18n/store";
@@ -30,11 +32,17 @@ export function SettingsPage() {
  const [proxyDraft, setProxyDraft] = useState<ProxySettingsInput>({ mode: "system", address: "", auth_enabled: false, username: "", password: "" });
  const [editingProxy, setEditingProxy] = useState(false);
  const [savingProxy, setSavingProxy] = useState(false);
+  const [tabSettings, setTabSettings] = useState<TabSettings | null>(null);
+  const [tabDraft, setTabDraft] = useState<TabSettings>({ mode: "public", address: "" });
+  const [editingTab, setEditingTab] = useState(false);
+  const [savingTab, setSavingTab] = useState(false);
  useEffect(() => {
-    void Promise.all([api.statisticsStorage(), api.proxySettings()]).then(([nextStorage, nextProxy]) => {
+    void Promise.all([api.statisticsStorage(), api.proxySettings(), api.tabSettings()]).then(([nextStorage, nextProxy, nextTab]) => {
      setStorage(nextStorage);
      setOutboundProxy(nextProxy);
      setProxyDraft({ mode: nextProxy.mode, address: nextProxy.address, auth_enabled: nextProxy.auth_enabled, username: nextProxy.username, password: "" });
+      setTabSettings(nextTab);
+      setTabDraft(nextTab);
    }).catch((cause) => message(cause instanceof Error ? cause.message : String(cause)));
  }, [message]);
  useEffect(() => {
@@ -114,6 +122,30 @@ export function SettingsPage() {
      setSavingProxy(false);
    }
  };
+  const editTab = () => {
+    if (!tabSettings) return;
+    setTabDraft(tabSettings);
+    setEditingTab(true);
+  };
+  const cancelTabEdit = () => {
+    if (tabSettings) setTabDraft(tabSettings);
+    setEditingTab(false);
+  };
+  const saveTab = async () => {
+    try {
+      if (tabDraft.mode === "custom" && !tabDraft.address.trim()) throw new Error(t("TAB 服务地址不能为空"));
+      setSavingTab(true);
+      const saved = await api.setTabSettings({ ...tabDraft, address: tabDraft.address.trim() });
+      setTabSettings(saved);
+      setTabDraft(saved);
+      setEditingTab(false);
+      message(t("TAB 设置已保存"));
+    } catch (cause) {
+      message(cause instanceof Error ? cause.message : String(cause));
+    } finally {
+      setSavingTab(false);
+    }
+  };
  const formatBytes = (bytes: number) => {
    if (bytes < 1024) return `${bytes} B`;
    const units = ["KB", "MB", "GB", "TB"];
@@ -191,7 +223,19 @@ export function SettingsPage() {
        </div>
      </TitledCard>
      <ProxySettingsCard settings={outboundProxy} draft={proxyDraft} editing={editingProxy} saving={savingProxy} onDraftChange={setProxyDraft} onEdit={editProxy} onCancel={cancelProxyEdit} onSave={() => void saveProxy()} />
+      <TabSettingsCard settings={tabSettings} draft={tabDraft} editing={editingTab} saving={savingTab} onDraftChange={setTabDraft} onEdit={editTab} onCancel={cancelTabEdit} onSave={() => void saveTab()} />
      <AppLifecycleSettingsCard />
+      <LegacyModelImport>{({ busy, previewing, open }) => <TitledCard title={t("导入")}>
+        <div className={styles.importRow}>
+          <div>
+            <strong>{t("旧版配置")}</strong>
+            <small>{t("从本机旧版配置读取模型；确认前会显示新增和已存在的模型。")}</small>
+          </div>
+          <Button size="small" disabled={busy} onClick={open}>
+            {previewing ? t("读取中…") : t("查看并导入")}
+          </Button>
+        </div>
+      </TitledCard>}</LegacyModelImport>
      <TitledCard title={t("语言")}>
        <div className={styles.settingRow}>
          <div>
@@ -240,24 +284,24 @@ export function SettingsPage() {
          </button>
        </div>
      </TitledCard>
-      <Modal
+      <ConfirmDialog
        open={confirmClear}
        title={t("确定要清理所有统计数据吗？")}
        busy={clearing}
-        closeLabel={t("取消")}
-        submitLabel={t("确认清理")}
-        onClose={() => setConfirmClear(false)}
-        onSubmit={() => void clearStorage()}
+        cancelLabel={t("取消")}
+        confirmLabel={t("确认清理")}
+        onCancel={() => setConfirmClear(false)}
+        onConfirm={() => void clearStorage()}
      >
        <div className={styles.confirmContent}>
          <small>
            {t(
-              "所有调用记录和详细追踪数据都会被删除。供应商、模型、CA 和应用设置不会受到影响，此操作无法撤销。",
+              "所有调用记录和详细追踪数据都会被删除。模型配置、CA 和应用设置不会受到影响，此操作无法撤销。",
            )}
          </small>
        </div>
-      </Modal>
+      </ConfirmDialog>
    </div>
  );
-  return <PageContent title={t("设置")} sections={[{ key: "settings", estimatedHeight: 900, content }]} />;
+  return <PageContent title={t("设置")} sections={[{ key: "settings", estimatedHeight: 1200, content }]} />;
 }
@@ -1,11 +1,8 @@
 import { useSyncExternalStore } from "react";
-import { api, type CursorHarnessStatus, type LlmCall, type Model, type ModelInput, type Overview, type PortSettings, type Provider, type ProviderInput, type ProviderSelection } from "../api";
+import { api, type CursorHarnessStatus, type LlmCall, type Model, type ModelInput, type Overview, type PortSettings } from "../api";
 import { applyTheme, isThemeId, type ThemeId } from "../theme/theme";

-type Discovery = { provider: Provider; modelIds: string[] };
-
 export type AppSnapshot = {
-  providers: Provider[];
  models: Model[];
  calls: LlmCall[];
  overview: Overview;
@@ -13,8 +10,6 @@ export type AppSnapshot = {
  ports: PortSettings;
  busy: boolean;
  error: string | null;
-  discoveringProviderId: number | null;
-  discovery: Discovery | null;
  theme: ThemeId;
  cursorHarness: CursorHarnessStatus | null;
  cursorBusy: boolean;
@@ -26,7 +21,6 @@ const savedTheme = (): ThemeId => {
 };

 let snapshot: AppSnapshot = {
-  providers: [],
  models: [],
  calls: [],
  overview: {
@@ -48,8 +42,6 @@ let snapshot: AppSnapshot = {
  ports: { proxy_port: 0, service_port: 0 },
  busy: false,
  error: null,
-  discoveringProviderId: null,
-  discovery: null,
  theme: savedTheme(),
  cursorHarness: null,
  cursorBusy: false,
@@ -81,8 +73,7 @@ export const appStore = {
  async refresh() {
    update({ busy: true, error: null });
    try {
-      const [providers, models, calls, overview, settings, ports, cursorHarness] = await Promise.all([
-        api.providers(),
+      const [models, calls, overview, settings, ports, cursorHarness] = await Promise.all([
        api.models(),
        api.calls(),
        api.overview(),
@@ -90,7 +81,7 @@ export const appStore = {
        api.ports(),
        api.cursorHarness(),
      ]);
-      update({ providers, models, calls, overview, detailed: settings.detailed, ports, cursorHarness });
+      update({ models, calls, overview, detailed: settings.detailed, ports, cursorHarness });
    } catch (cause) {
      update({ error: cause instanceof Error ? cause.message : String(cause) });
    } finally {
@@ -98,68 +89,6 @@ export const appStore = {
    }
  },

-  async createProvider(input: ProviderInput) {
-    try {
-      update({ error: null });
-      await api.createProvider(input);
-      await appStore.refresh();
-      return true;
-    } catch (cause) {
-      update({ error: cause instanceof Error ? cause.message : String(cause) });
-      return false;
-    }
-  },
-  async updateProvider(providerId: number, input: ProviderInput) {
-    try {
-      update({ error: null });
-      await api.updateProvider(providerId, input);
-      await appStore.refresh();
-      return true;
-    } catch (cause) {
-      update({ error: cause instanceof Error ? cause.message : String(cause) });
-      return false;
-    }
-  },
-  async deleteProvider(providerId: number) {
-    await perform(async () => {
-      await api.deleteProvider(providerId);
-      await appStore.refresh();
-    });
-  },
-
-  async discoverModels(provider: Provider) {
-    update({ discoveringProviderId: provider.provider_id, error: null });
-    try {
-      const result = await api.discoverModels(provider.provider_id);
-      const existing = new Set(snapshot.models.filter((model) => model.provider_id === provider.provider_id).map((model) => model.model_id));
-      update({ discovery: { provider, modelIds: result.models.filter((id) => !existing.has(id)) } });
-    } catch (cause) {
-      update({ error: cause instanceof Error ? cause.message : String(cause) });
-    } finally {
-      update({ discoveringProviderId: null });
-    }
-  },
-  async addModel(modelId: string) {
-    const discovery = snapshot.discovery;
-    if (!discovery) return;
-    await perform(async () => {
-      await api.saveModels(discovery.provider.provider_id, [{
-        model_id: modelId,
-        display_name: modelId,
-        endpoint_type: discovery.provider.provider_type,
-        request_url: "",
-        enabled: true,
-        sort_order: snapshot.models.length,
-        context_window_tokens: null,
-        max_output_tokens: null,
-        reasoning_enabled: false,
-        reasoning_effort: null,
-        supports_image_generation: false,
-      }]);
-      update({ discovery: { ...discovery, modelIds: discovery.modelIds.filter((id) => id !== modelId) } });
-      await appStore.refresh();
-    });
-  },
  async deleteModel(modelHash: string) {
    await perform(async () => {
      await api.deleteModel(modelHash);
@@ -184,15 +113,26 @@ export const appStore = {
    catch (cause) { update({ error: cause instanceof Error ? cause.message : String(cause) }); }
    finally { update({ cursorBusy: false }); }
  },
-  async createCursorModels(provider: ProviderSelection, models: ModelInput[]) {
+  async createModels(models: ModelInput[]) {
    update({ cursorBusy: true, error: null });
    try {
-      await api.createCursorModels(provider, models);
+      const created = await api.createModels(models);
      await appStore.refresh();
-      return true;
+      return created;
    } catch (cause) {
      update({ error: cause instanceof Error ? cause.message : String(cause) });
-      return false;
+      return null;
+    } finally { update({ cursorBusy: false }); }
+  },
+  async importV0049Models() {
+    update({ cursorBusy: true, error: null });
+    try {
+      const result = await api.importV0049Models();
+      await appStore.refresh();
+      return result;
+    } catch (cause) {
+      update({ error: cause instanceof Error ? cause.message : String(cause) });
+      return null;
    } finally { update({ cursorBusy: false }); }
  },
  async updateCursorModel(hash: string, model: ModelInput) {
@@ -206,6 +146,36 @@ export const appStore = {
      return null;
    } finally { update({ cursorBusy: false }); }
  },
+  async reorderCursorModels(modelHashes: string[]) {
+    const previous = snapshot.models;
+    const byHash = new Map(previous.map((model) => [model.model_hash, model]));
+    if (modelHashes.length !== previous.length || new Set(modelHashes).size !== previous.length) {
+      update({ error: t("模型配置已发生变化，请刷新后重试") });
+      return false;
+    }
+    const reordered: Model[] = [];
+    for (const [index, hash] of modelHashes.entries()) {
+      const model = byHash.get(hash);
+      if (!model) {
+        update({ error: t("模型配置已发生变化，请刷新后重试") });
+        return false;
+      }
+      reordered.push({ ...model, sort_order: index + 1 });
+    }
+    update({ models: reordered, cursorBusy: true, error: null });
+    try {
+      update({ models: await api.reorderModels(modelHashes) });
+      return true;
+    } catch (cause) {
+      update({
+        models: previous,
+        error: cause instanceof Error ? cause.message : String(cause),
+      });
+      return false;
+    } finally {
+      update({ cursorBusy: false });
+    }
+  },

  async openCallDetails(callId: string) {
    await perform(() => api.openCallDetails(callId));
@@ -39,6 +39,7 @@ rcgen = { version = "0.14", features = ["aws_lc_rs", "pem", "x509-parser"] }
 scraper = "0.24"
 serde = { version = "1", features = ["derive"] }
 serde_json = "1"
+serde_yaml = "0.9"
 semble-core = { path = "../crates/semble-core" }
 sha1 = "0.10"
 sha2 = "0.10"
@@ -0,0 +1,6 @@
+-- Cursor may reuse one transport request id for multiple queued executions.
+-- Keep that id as an association key while each local Run keeps its own identity.
+ALTER TABLE runs ADD COLUMN cursor_request_id TEXT;
+
+CREATE INDEX idx_runs_cursor_request_active
+ON runs(cursor_request_id, status, created_at_ms DESC);
@@ -0,0 +1,197 @@
+PRAGMA defer_foreign_keys = ON;
+
+CREATE TABLE model_configs (
+    model_hash TEXT PRIMARY KEY,
+    sort_order INTEGER NOT NULL DEFAULT 0,
+    display_name TEXT NOT NULL,
+    model_type TEXT NOT NULL CHECK(model_type IN ('openai', 'anthropic')),
+    base_url TEXT NOT NULL,
+    use_full_url INTEGER NOT NULL DEFAULT 0 CHECK(use_full_url IN (0, 1)),
+    api_key TEXT NOT NULL,
+    tooltip_data TEXT NOT NULL,
+    model_id TEXT NOT NULL,
+    reasoning_effort TEXT,
+    openai_endpoint TEXT NOT NULL DEFAULT '',
+    openai_extra_params_enabled INTEGER NOT NULL DEFAULT 0 CHECK(openai_extra_params_enabled IN (0, 1)),
+    openai_extra_params_json TEXT NOT NULL DEFAULT '{}',
+    custom_headers_enabled INTEGER NOT NULL DEFAULT 0 CHECK(custom_headers_enabled IN (0, 1)),
+    custom_headers_json TEXT NOT NULL DEFAULT '{}',
+    anthropic_extra_params_enabled INTEGER NOT NULL DEFAULT 0 CHECK(anthropic_extra_params_enabled IN (0, 1)),
+    anthropic_extra_params_json TEXT NOT NULL DEFAULT '{}',
+    context_window_tokens INTEGER,
+    max_completion_tokens INTEGER,
+    anthropic_max_tokens INTEGER,
+    anthropic_thinking_effort TEXT,
+    thinking_budget_tokens INTEGER,
+    created_at_ms INTEGER NOT NULL,
+    updated_at_ms INTEGER NOT NULL
+);
+
+INSERT INTO model_configs (
+    model_hash,
+    sort_order,
+    display_name,
+    model_type,
+    base_url,
+    use_full_url,
+    api_key,
+    tooltip_data,
+    model_id,
+    reasoning_effort,
+    openai_endpoint,
+    openai_extra_params_enabled,
+    openai_extra_params_json,
+    custom_headers_enabled,
+    custom_headers_json,
+    anthropic_extra_params_enabled,
+    anthropic_extra_params_json,
+    context_window_tokens,
+    max_completion_tokens,
+    anthropic_max_tokens,
+    anthropic_thinking_effort,
+    thinking_budget_tokens,
+    created_at_ms,
+    updated_at_ms
+)
+SELECT
+    model.model_hash,
+    model.sort_order,
+    model.display_name,
+    CASE model.endpoint_type WHEN 'anthropic' THEN 'anthropic' ELSE 'openai' END,
+    CASE
+        WHEN model.request_url = '' THEN endpoint.base_url
+        WHEN model.request_url LIKE 'http://%' OR model.request_url LIKE 'https://%' THEN model.request_url
+        ELSE replace(rtrim(endpoint.base_url, '/') || '/' || ltrim(model.request_url, '/'), '/v1/v1/', '/v1/')
+    END,
+    CASE WHEN model.request_url = '' THEN 0 ELSE 1 END,
+    endpoint.api_key,
+    model.display_name,
+    model.model_id,
+    CASE
+        WHEN model.endpoint_type != 'anthropic' AND model.reasoning_enabled = 1
+            THEN COALESCE(NULLIF(trim(model.reasoning_effort), ''), 'medium')
+        ELSE NULL
+    END,
+    CASE model.endpoint_type
+        WHEN 'openai-responses' THEN '/v1/responses'
+        WHEN 'openai-chat' THEN '/v1/chat/completions'
+        ELSE ''
+    END,
+    CASE WHEN model.endpoint_type != 'anthropic' AND endpoint.extra_params_json != '{}' THEN 1 ELSE 0 END,
+    CASE WHEN model.endpoint_type != 'anthropic' THEN endpoint.extra_params_json ELSE '{}' END,
+    CASE WHEN endpoint.custom_headers_json != '{}' THEN 1 ELSE 0 END,
+    endpoint.custom_headers_json,
+    CASE WHEN model.endpoint_type = 'anthropic' AND endpoint.extra_params_json != '{}' THEN 1 ELSE 0 END,
+    CASE WHEN model.endpoint_type = 'anthropic' THEN endpoint.extra_params_json ELSE '{}' END,
+    model.context_window_tokens,
+    CASE WHEN model.endpoint_type != 'anthropic' THEN model.max_output_tokens ELSE NULL END,
+    CASE WHEN model.endpoint_type = 'anthropic' THEN model.max_output_tokens ELSE NULL END,
+    CASE WHEN model.endpoint_type = 'anthropic' THEN 'xhigh' ELSE NULL END,
+    NULL,
+    model.created_at_ms,
+    model.updated_at_ms
+FROM provider_models AS model
+JOIN provider_endpoints AS endpoint ON endpoint.provider_id = model.provider_id;
+
+CREATE TABLE llm_calls_new (
+    call_id TEXT PRIMARY KEY,
+    run_id TEXT NOT NULL,
+    conversation_id TEXT NOT NULL,
+    provider_call_index INTEGER NOT NULL,
+    model_hash TEXT,
+    provider_type TEXT NOT NULL,
+    provider_url TEXT NOT NULL,
+    request_type TEXT NOT NULL,
+    request_url TEXT NOT NULL,
+    model_id TEXT NOT NULL,
+    display_name TEXT NOT NULL,
+    status TEXT NOT NULL,
+    finish_reason TEXT,
+    created_at_ms INTEGER NOT NULL,
+    request_started_at_ms INTEGER,
+    response_headers_at_ms INTEGER,
+    first_event_at_ms INTEGER,
+    first_text_at_ms INTEGER,
+    finished_at_ms INTEGER,
+    queue_ms INTEGER,
+    ttfb_ms INTEGER,
+    ttft_ms INTEGER,
+    duration_ms INTEGER,
+    input_tokens INTEGER,
+    output_tokens INTEGER,
+    total_tokens INTEGER,
+    cache_read_tokens INTEGER,
+    cache_write_tokens INTEGER,
+    reasoning_tokens INTEGER,
+    usage_json TEXT,
+    message_count INTEGER NOT NULL,
+    tool_count INTEGER NOT NULL,
+    request_bytes INTEGER,
+    response_bytes INTEGER NOT NULL DEFAULT 0,
+    stream_event_count INTEGER NOT NULL DEFAULT 0,
+    http_status INTEGER,
+    error_kind TEXT,
+    error_message TEXT,
+    detailed INTEGER NOT NULL,
+    reasoning_effort TEXT,
+    fast INTEGER NOT NULL DEFAULT 0 CHECK (fast IN (0, 1)),
+    FOREIGN KEY(model_hash) REFERENCES model_configs(model_hash)
+);
+
+INSERT INTO llm_calls_new (
+    call_id, run_id, conversation_id, provider_call_index, model_hash, provider_type,
+    provider_url, request_type, request_url, model_id, display_name, status, finish_reason,
+    created_at_ms, request_started_at_ms, response_headers_at_ms, first_event_at_ms,
+    first_text_at_ms, finished_at_ms, queue_ms, ttfb_ms, ttft_ms, duration_ms,
+    input_tokens, output_tokens, total_tokens, cache_read_tokens, cache_write_tokens,
+    reasoning_tokens, usage_json, message_count, tool_count, request_bytes, response_bytes,
+    stream_event_count, http_status, error_kind, error_message, detailed, reasoning_effort, fast
+)
+SELECT
+    call_id, run_id, conversation_id, provider_call_index, model_hash, provider_type,
+    provider_url, request_type, request_url, model_id, display_name, status, finish_reason,
+    created_at_ms, request_started_at_ms, response_headers_at_ms, first_event_at_ms,
+    first_text_at_ms, finished_at_ms, queue_ms, ttfb_ms, ttft_ms, duration_ms,
+    input_tokens, output_tokens, total_tokens, cache_read_tokens, cache_write_tokens,
+    reasoning_tokens, usage_json, message_count, tool_count, request_bytes, response_bytes,
+    stream_event_count, http_status, error_kind, error_message, detailed, reasoning_effort, fast
+FROM llm_calls;
+
+CREATE TABLE llm_call_requests_new (
+    call_id TEXT PRIMARY KEY,
+    headers_json TEXT NOT NULL,
+    body_json TEXT NOT NULL,
+    byte_count INTEGER NOT NULL,
+    FOREIGN KEY(call_id) REFERENCES llm_calls_new(call_id) ON DELETE CASCADE
+);
+
+INSERT INTO llm_call_requests_new(call_id, headers_json, body_json, byte_count)
+SELECT call_id, headers_json, body_json, byte_count FROM llm_call_requests;
+
+CREATE TABLE llm_call_response_chunks_new (
+    call_id TEXT NOT NULL,
+    seq INTEGER NOT NULL,
+    received_offset_ms INTEGER NOT NULL,
+    data BLOB NOT NULL,
+    byte_count INTEGER NOT NULL,
+    PRIMARY KEY(call_id, seq),
+    FOREIGN KEY(call_id) REFERENCES llm_calls_new(call_id) ON DELETE CASCADE
+);
+
+INSERT INTO llm_call_response_chunks_new(call_id, seq, received_offset_ms, data, byte_count)
+SELECT call_id, seq, received_offset_ms, data, byte_count FROM llm_call_response_chunks;
+
+DROP TABLE llm_call_requests;
+DROP TABLE llm_call_response_chunks;
+DROP TABLE llm_calls;
+DROP TABLE provider_models;
+DROP TABLE provider_endpoints;
+
+ALTER TABLE llm_calls_new RENAME TO llm_calls;
+ALTER TABLE llm_call_requests_new RENAME TO llm_call_requests;
+ALTER TABLE llm_call_response_chunks_new RENAME TO llm_call_response_chunks;
+
+CREATE INDEX model_configs_sort ON model_configs(sort_order, display_name);
+CREATE INDEX llm_calls_created ON llm_calls(created_at_ms DESC);
+CREATE INDEX llm_calls_run ON llm_calls(run_id, provider_call_index);
+CREATE INDEX llm_calls_model ON llm_calls(model_hash, created_at_ms DESC);
@@ -84,6 +84,10 @@ impl App {
        self.harness.clone()
    }

+    pub fn store(&self) -> Store {
+        self.store.clone()
+    }
+
    pub async fn serve(self) -> Result<()> {
        let listener = self.bind().await?;
        let shutdown = CancellationToken::new();
@@ -7,6 +7,8 @@ use crate::{Error, Result};

 const DATA_DIR_NAME: &str = ".cursor-byok-v3";
 const DATABASE_FILE_NAME: &str = "cursor-byok.db";
+const V0049_DATA_DIR_NAME: &str = ".cursor-local-assistant-v2";
+const V0049_CONFIG_FILE_NAME: &str = "config.yaml";

 pub fn managed_data_dir() -> Result<PathBuf> {
    let home_dir = dirs::home_dir()
@@ -18,6 +20,14 @@ pub fn managed_data_dir() -> Result<PathBuf> {
    Ok(data_dir)
 }

+pub fn v0049_config_path() -> Result<PathBuf> {
+    let home_dir = dirs::home_dir()
+        .ok_or_else(|| Error::Config("cannot resolve user home directory".into()))?;
+    Ok(home_dir
+        .join(V0049_DATA_DIR_NAME)
+        .join(V0049_CONFIG_FILE_NAME))
+}
+
 #[derive(Clone, Debug, PartialEq, Eq)]
 pub enum ProviderKind {
    OpenAiChat,
@@ -1,72 +0,0 @@
-use axum::{extract::State, http::StatusCode, Json};
-use serde::{Deserialize, Serialize};
-
-use crate::{
-    model::{ProviderEndpoint, ProviderEndpointInput, ProviderModel, ProviderModelInput},
-    Result,
-};
-
-use super::{ControlService, DiscoveredModels};
-
-#[derive(Debug, Deserialize)]
-#[serde(tag = "kind", rename_all = "snake_case")]
-pub enum ProviderSelection {
-    Existing { provider_id: i64 },
-    New { input: ProviderEndpointInput },
-}
-
-#[derive(Debug, Deserialize)]
-pub struct CreateCursorModels {
-    pub provider: ProviderSelection,
-    pub models: Vec<ProviderModelInput>,
-}
-
-#[derive(Debug, Serialize)]
-pub struct CreatedCursorModels {
-    pub provider: ProviderEndpoint,
-    pub models: Vec<ProviderModel>,
-}
-
-#[derive(Debug, Deserialize)]
-pub struct DiscoverCursorModels {
-    pub provider: ProviderSelection,
-}
-
-pub async fn create(
-    State(service): State<ControlService>,
-    Json(input): Json<CreateCursorModels>,
-) -> Result<(StatusCode, Json<CreatedCursorModels>)> {
-    let (provider, models) = match input.provider {
-        ProviderSelection::Existing { provider_id } => {
-            let provider = service
-                .providers()
-                .await?
-                .into_iter()
-                .find(|provider| provider.provider_id == provider_id)
-                .ok_or_else(|| crate::Error::RunNotFound(format!("provider {provider_id}")))?;
-            let models = service.save_models(provider_id, &input.models).await?;
-            (provider, models)
-        }
-        ProviderSelection::New { input: provider } => {
-            service
-                .create_provider_with_models(&provider, &input.models)
-                .await?
-        }
-    };
-    Ok((
-        StatusCode::CREATED,
-        Json(CreatedCursorModels { provider, models }),
-    ))
-}
-
-pub async fn discover(
-    State(service): State<ControlService>,
-    Json(input): Json<DiscoverCursorModels>,
-) -> Result<Json<DiscoveredModels>> {
-    match input.provider {
-        ProviderSelection::Existing { provider_id } => {
-            Ok(Json(service.discover_models(provider_id).await?))
-        }
-        ProviderSelection::New { input } => Ok(Json(service.discover_input(&input).await?)),
-    }
-}
@@ -1,10 +1,8 @@
 mod ads;
 mod calls;
-mod cursor_models;
 mod harness;
 mod models;
 mod overview;
-mod providers;
 mod service;
 mod settings;

@@ -22,8 +20,8 @@ use tower_http::{
 use url::{Host, Url};

 pub use service::{
-    CallDetail, CallSummary, ControlService, DiscoveredModels, ModelConnectivityResult,
-    ObservabilitySettings,
+    CallDetail, CallSummary, ControlService, DiscoveredModels, LegacyModelImportPreview,
+    LegacyModelImportResult, ModelConnectivityResult, ModelDiscoveryInput, ObservabilitySettings,
 };

 pub fn web_router(service: ControlService, assets: impl AsRef<std::path::Path>) -> Router {
@@ -117,22 +115,15 @@ pub fn api_router(service: ControlService) -> Router {
            post(ads::dismiss),
        )
        .route(
-            "/__byok-api__/api/providers",
-            get(providers::list).post(providers::create),
+            "/__byok-api__/api/models",
+            get(models::list).post(models::create),
        )
+        .route("/__byok-api__/api/models/discover", post(models::discover))
        .route(
-            "/__byok-api__/api/providers/{provider_id}",
-            put(providers::update).delete(providers::remove),
+            "/__byok-api__/api/models/import-v0049",
+            get(models::preview_v0049).post(models::import_v0049),
        )
-        .route(
-            "/__byok-api__/api/providers/{provider_id}/models/discover",
-            post(models::discover),
-        )
-        .route(
-            "/__byok-api__/api/providers/{provider_id}/models",
-            post(models::save),
-        )
-        .route("/__byok-api__/api/models", get(models::list))
+        .route("/__byok-api__/api/models/order", put(models::reorder))
        .route("/__byok-api__/api/overview", get(overview::get))
        .route(
            "/__byok-api__/api/models/{model_hash}",
@@ -164,6 +155,10 @@ pub fn api_router(service: ControlService) -> Router {
            "/__byok-api__/api/settings/tab",
            get(settings::get_tab).put(settings::update_tab),
        )
+        .route(
+            "/__byok-api__/api/settings/desktop",
+            get(settings::get_desktop).put(settings::update_desktop),
+        )
        .route(
            "/__byok-api__/api/harness/cursor/status",
            get(harness::status),
@@ -176,14 +171,6 @@ pub fn api_router(service: ControlService) -> Router {
            "/__byok-api__/api/harness/cursor/enabled",
            put(harness::set_enabled),
        )
-        .route(
-            "/__byok-api__/api/harness/cursor/models",
-            post(cursor_models::create),
-        )
-        .route(
-            "/__byok-api__/api/harness/cursor/models/discover",
-            post(cursor_models::discover),
-        )
        .with_state(service)
        .layer(desktop_cors())
 }
@@ -261,7 +248,7 @@ mod tests {
            .clone()
            .oneshot(
                Request::builder()
-                    .uri("/__byok-api__/api/providers")
+                    .uri("/__byok-api__/api/models")
                    .header(header::ORIGIN, "tauri://localhost")
                    .body(Body::empty())
                    .unwrap(),
@@ -289,7 +276,7 @@ mod tests {
        let response = router
            .oneshot(
                Request::builder()
-                    .uri("/api/providers")
+                    .uri("/api/models")
                    .body(Body::empty())
                    .unwrap(),
            )
@@ -6,32 +6,46 @@ use axum::{
 use serde::Deserialize;

 use crate::{
-    model::{ProviderModel, ProviderModelInput},
+    model::{ModelConfig, ModelConfigInput},
    Result,
 };

-use super::{ControlService, DiscoveredModels, ModelConnectivityResult};
+use super::{
+    ControlService, DiscoveredModels, LegacyModelImportPreview, LegacyModelImportResult,
+    ModelConnectivityResult, ModelDiscoveryInput,
+};

 #[derive(Deserialize)]
 pub struct SaveModels {
-    pub models: Vec<ProviderModelInput>,
+    pub models: Vec<ModelConfigInput>,
 }

-pub async fn list(State(service): State<ControlService>) -> Result<Json<Vec<ProviderModel>>> {
+#[derive(Deserialize)]
+pub struct ModelOrder {
+    pub model_hashes: Vec<String>,
+}
+
+pub async fn list(State(service): State<ControlService>) -> Result<Json<Vec<ModelConfig>>> {
    Ok(Json(service.models().await?))
 }

-pub async fn save(
+pub async fn create(
    State(service): State<ControlService>,
-    Path(provider_id): Path<i64>,
    Json(input): Json<SaveModels>,
-) -> Result<(StatusCode, Json<Vec<ProviderModel>>)> {
+) -> Result<(StatusCode, Json<Vec<ModelConfig>>)> {
    Ok((
        StatusCode::CREATED,
-        Json(service.save_models(provider_id, &input.models).await?),
+        Json(service.create_models(&input.models).await?),
    ))
 }

+pub async fn reorder(
+    State(service): State<ControlService>,
+    Json(input): Json<ModelOrder>,
+) -> Result<Json<Vec<ModelConfig>>> {
+    Ok(Json(service.reorder_models(&input.model_hashes).await?))
+}
+
 pub async fn remove(
    State(service): State<ControlService>,
    Path(model_hash): Path<String>,
@@ -43,8 +57,8 @@ pub async fn remove(
 pub async fn update(
    State(service): State<ControlService>,
    Path(model_hash): Path<String>,
-    Json(input): Json<ProviderModelInput>,
-) -> Result<Json<ProviderModel>> {
+    Json(input): Json<ModelConfigInput>,
+) -> Result<Json<ModelConfig>> {
    Ok(Json(service.update_model(&model_hash, &input).await?))
 }

@@ -57,7 +71,19 @@ pub async fn test(

 pub async fn discover(
    State(service): State<ControlService>,
-    Path(provider_id): Path<i64>,
+    Json(input): Json<ModelDiscoveryInput>,
 ) -> Result<Json<DiscoveredModels>> {
-    Ok(Json(service.discover_models(provider_id).await?))
+    Ok(Json(service.discover_models(&input).await?))
+}
+
+pub async fn import_v0049(
+    State(service): State<ControlService>,
+) -> Result<Json<LegacyModelImportResult>> {
+    Ok(Json(service.import_v0049_models().await?))
+}
+
+pub async fn preview_v0049(
+    State(service): State<ControlService>,
+) -> Result<Json<LegacyModelImportPreview>> {
+    Ok(Json(service.preview_v0049_models().await?))
 }
@@ -15,7 +15,6 @@ pub struct OverviewRange {
    start_ms: Option<i64>,
    end_ms: Option<i64>,
    model_hashes: Option<String>,
-    provider_ids: Option<String>,
 }

 pub async fn get(
@@ -24,12 +23,7 @@ pub async fn get(
 ) -> Result<Json<Overview>> {
    Ok(Json(
        service
-            .overview(
-                range.start_ms,
-                range.end_ms,
-                range.model_hashes.as_deref(),
-                range.provider_ids.as_deref(),
-            )
+            .overview(range.start_ms, range.end_ms, range.model_hashes.as_deref())
            .await?,
    ))
 }
@@ -1,42 +0,0 @@
-use axum::{
-    extract::{Path, State},
-    http::StatusCode,
-    Json,
-};
-
-use crate::{
-    model::{ProviderEndpoint, ProviderEndpointInput},
-    Result,
-};
-
-use super::ControlService;
-
-pub async fn list(State(service): State<ControlService>) -> Result<Json<Vec<ProviderEndpoint>>> {
-    Ok(Json(service.providers().await?))
-}
-
-pub async fn create(
-    State(service): State<ControlService>,
-    Json(input): Json<ProviderEndpointInput>,
-) -> Result<(StatusCode, Json<ProviderEndpoint>)> {
-    Ok((
-        StatusCode::CREATED,
-        Json(service.create_provider(&input).await?),
-    ))
-}
-
-pub async fn update(
-    State(service): State<ControlService>,
-    Path(provider_id): Path<i64>,
-    Json(input): Json<ProviderEndpointInput>,
-) -> Result<Json<ProviderEndpoint>> {
-    Ok(Json(service.update_provider(provider_id, &input).await?))
-}
-
-pub async fn remove(
-    State(service): State<ControlService>,
-    Path(provider_id): Path<i64>,
-) -> Result<StatusCode> {
-    service.delete_provider(provider_id).await?;
-    Ok(StatusCode::NO_CONTENT)
-}
@@ -16,13 +16,14 @@ use crate::{
    harness::CursorHarness,
    model::{
        ContentPart, CursorRunTraceArtifact, CursorRunTraceSummary, LlmCallRequest,
-        LlmCallResponseChunk, LlmCallSummary, ModelInvocation, ModelRequest, ModelSpec, Overview,
-        ProjectedContent, ProjectedMessage, PromptSpec, ProviderEndpoint, ProviderEndpointInput,
-        ProviderModel, ProviderModelInput, ProviderType, Role,
+        LlmCallResponseChunk, LlmCallSummary, ModelConfig, ModelConfigInput, ModelInvocation,
+        ModelRequest, ModelSpec, ModelType, Overview, ProjectedContent, ProjectedMessage,
+        PromptSpec, ProviderType, Role,
    },
    provider::{ModelEvent, Provider},
    store::{
-        PortSettings, ProxySettings, ProxySettingsInput, StatisticsStorage, Store, TabSettings,
+        DesktopSettings, PortSettings, ProxySettings, ProxySettingsInput, StatisticsStorage, Store,
+        TabSettings,
    },
    Error, Result,
 };
@@ -39,6 +40,53 @@ pub struct DiscoveredModels {
    pub models: Vec<String>,
 }

+#[derive(Clone, Debug, Serialize)]
+pub struct LegacyModelImportResult {
+    pub imported: usize,
+    pub skipped: usize,
+    pub total: usize,
+}
+
+#[derive(Clone, Debug, Serialize)]
+pub struct LegacyModelImportPreview {
+    pub source: String,
+    pub total: usize,
+    pub new_models: usize,
+    pub existing_models: usize,
+    pub models: Vec<LegacyModelImportPreviewItem>,
+}
+
+#[derive(Clone, Debug, Serialize)]
+pub struct LegacyModelImportPreviewItem {
+    pub model_hash: String,
+    pub display_name: String,
+    pub model_id: String,
+    #[serde(rename = "type")]
+    pub model_type: ModelType,
+    pub existing: bool,
+}
+
+#[derive(Clone, Debug, Deserialize)]
+pub struct ModelDiscoveryInput {
+    #[serde(rename = "type")]
+    pub model_type: ModelType,
+    pub base_url: String,
+    pub api_key: String,
+    #[serde(default)]
+    pub custom_headers_enabled: bool,
+    #[serde(default = "empty_json_object")]
+    pub custom_headers: serde_json::Value,
+}
+
+fn empty_json_object() -> serde_json::Value {
+    serde_json::json!({})
+}
+
+fn empty_json_object_ref() -> &'static serde_json::Value {
+    static EMPTY: std::sync::OnceLock<serde_json::Value> = std::sync::OnceLock::new();
+    EMPTY.get_or_init(empty_json_object)
+}
+
 #[derive(Clone, Debug, Serialize)]
 pub struct ModelConnectivityResult {
    pub duration_ms: u64,
@@ -162,28 +210,8 @@ impl ControlService {
        Ok(())
    }

-    pub async fn providers(&self) -> Result<Vec<ProviderEndpoint>> {
-        self.store.providers().await
-    }
-
-    pub async fn create_provider(&self, input: &ProviderEndpointInput) -> Result<ProviderEndpoint> {
-        self.store.create_provider(input).await
-    }
-
-    pub async fn update_provider(
-        &self,
-        provider_id: i64,
-        input: &ProviderEndpointInput,
-    ) -> Result<ProviderEndpoint> {
-        self.store.update_provider(provider_id, input).await
-    }
-
-    pub async fn delete_provider(&self, provider_id: i64) -> Result<()> {
-        self.store.delete_provider(provider_id).await
-    }
-
-    pub async fn models(&self) -> Result<Vec<ProviderModel>> {
-        self.store.provider_models(false).await
+    pub async fn models(&self) -> Result<Vec<ModelConfig>> {
+        self.store.models().await
    }

    pub async fn overview(
@@ -191,31 +219,28 @@ impl ControlService {
        start_ms: Option<i64>,
        end_ms: Option<i64>,
        model_hashes: Option<&str>,
-        provider_ids: Option<&str>,
    ) -> Result<Overview> {
-        self.store
-            .overview(start_ms, end_ms, model_hashes, provider_ids)
-            .await
+        self.store.overview(start_ms, end_ms, model_hashes).await
    }

-    pub async fn save_models(
-        &self,
-        provider_id: i64,
-        models: &[ProviderModelInput],
-    ) -> Result<Vec<ProviderModel>> {
-        self.store.save_provider_models(provider_id, models).await
+    pub async fn create_models(&self, models: &[ModelConfigInput]) -> Result<Vec<ModelConfig>> {
+        self.store.create_models(models).await
+    }
+
+    pub async fn reorder_models(&self, model_hashes: &[String]) -> Result<Vec<ModelConfig>> {
+        self.store.reorder_models(model_hashes).await
    }

    pub async fn delete_model(&self, model_hash: &str) -> Result<()> {
-        self.store.delete_provider_model(model_hash).await
+        self.store.delete_model(model_hash).await
    }

    pub async fn update_model(
        &self,
        model_hash: &str,
-        input: &ProviderModelInput,
-    ) -> Result<ProviderModel> {
-        self.store.update_provider_model(model_hash, input).await
+        input: &ModelConfigInput,
+    ) -> Result<ModelConfig> {
+        self.store.update_model(model_hash, input).await
    }

    pub async fn test_model(&self, model_hash: &str) -> Result<ModelConnectivityResult> {
@@ -224,19 +249,12 @@ impl ControlService {

        let configured = self
            .store
-            .provider_model(model_hash)
+            .model(model_hash)
            .await?
            .ok_or_else(|| Error::RunNotFound(format!("model {model_hash}")))?;
        let mut model = ModelSpec::new(model_hash);
-        if configured.reasoning_enabled {
-            model.reasoning.enabled = true;
-            model.reasoning.effort = Some(
-                configured
-                    .reasoning_effort
-                    .filter(|effort| !effort.trim().is_empty())
-                    .unwrap_or_else(|| "medium".into()),
-            );
-        }
+        configured.configure(&mut model);
+        model.max_output_tokens = Some(configured.max_output_tokens().unwrap_or(65_536));
        let test_id = format!("model-test-{}", uuid::Uuid::new_v4());
        let call_id = test_id.clone();
        let invocation = ModelInvocation {
@@ -316,6 +334,11 @@ impl ControlService {
        }
        let elapsed = started.elapsed();
        let output = output.trim().to_string();
+        if first_text_at.is_none() {
+            return Err(Error::Provider(
+                "model connectivity test received no text output".into(),
+            ));
+        }
        let tokens_estimated = output_tokens.is_none();
        let output_tokens = output_tokens.unwrap_or_else(|| estimate_output_tokens(&output));
        Ok(ModelConnectivityResult {
@@ -337,44 +360,58 @@ impl ControlService {
        })
    }

-    pub async fn create_provider_with_models(
-        &self,
-        provider: &ProviderEndpointInput,
-        models: &[ProviderModelInput],
-    ) -> Result<(ProviderEndpoint, Vec<ProviderModel>)> {
-        self.store
-            .create_provider_with_models(provider, models)
-            .await
-    }
-
-    pub async fn discover_input(&self, input: &ProviderEndpointInput) -> Result<DiscoveredModels> {
+    pub async fn discover_models(&self, input: &ModelDiscoveryInput) -> Result<DiscoveredModels> {
        let client = crate::network::client(&self.store).await?;
-        let base_url = crate::model::normalize_base_url(&input.base_url)?;
-        discover_provider_models(
+        let base_url = crate::model::normalize_request_url(&input.base_url)?;
+        discover_models_from_endpoint(
            &client,
-            input.provider_type,
+            match input.model_type {
+                ModelType::OpenAi => ProviderType::OpenAiResponses,
+                ModelType::Anthropic => ProviderType::Anthropic,
+            },
            &base_url,
-            input.api_key.as_deref().unwrap_or_default(),
-            &input.custom_headers,
+            &input.api_key,
+            if input.custom_headers_enabled {
+                &input.custom_headers
+            } else {
+                empty_json_object_ref()
+            },
        )
        .await
    }

-    pub async fn discover_models(&self, provider_id: i64) -> Result<DiscoveredModels> {
-        let client = crate::network::client(&self.store).await?;
-        let provider = self
-            .store
-            .provider(provider_id)
-            .await?
-            .ok_or_else(|| Error::RunNotFound(format!("provider {provider_id}")))?;
-        discover_provider_models(
-            &client,
-            provider.endpoint.provider_type,
-            &provider.endpoint.base_url,
-            provider.endpoint.api_key.as_deref().unwrap_or_default(),
-            &provider.custom_headers,
-        )
-        .await
+    pub async fn import_v0049_models(&self) -> Result<LegacyModelImportResult> {
+        let path = crate::config::v0049_config_path()?;
+        let outcome = self.store.import_v0049_model_config(&path).await?;
+        Ok(LegacyModelImportResult {
+            imported: outcome.imported,
+            skipped: outcome.skipped,
+            total: outcome.total,
+        })
+    }
+
+    pub async fn preview_v0049_models(&self) -> Result<LegacyModelImportPreview> {
+        let path = crate::config::v0049_config_path()?;
+        let plan = self.store.preview_v0049_model_config(&path).await?;
+        let total = plan.models.len();
+        let existing_models = plan.models.iter().filter(|model| model.existing).count();
+        Ok(LegacyModelImportPreview {
+            source: path.display().to_string(),
+            total,
+            new_models: total - existing_models,
+            existing_models,
+            models: plan
+                .models
+                .into_iter()
+                .map(|model| LegacyModelImportPreviewItem {
+                    model_hash: model.model_hash,
+                    display_name: model.input.display_name,
+                    model_id: model.input.model_id,
+                    model_type: model.input.model_type,
+                    existing: model.existing,
+                })
+                .collect(),
+        })
    }

    pub async fn calls(&self, limit: i64) -> Result<Vec<CallSummary>> {
@@ -497,6 +534,14 @@ impl ControlService {
    pub async fn set_tab_settings(&self, settings: TabSettings) -> Result<TabSettings> {
        self.cursor_harness.set_tab_settings(settings).await
    }
+
+    pub async fn desktop_settings(&self) -> Result<DesktopSettings> {
+        self.store.desktop_settings().await
+    }
+
+    pub async fn set_desktop_settings(&self, settings: DesktopSettings) -> Result<()> {
+        self.store.set_desktop_settings(settings).await
+    }
 }

 fn official_call(trace: CursorRunTraceSummary) -> CallSummary {
@@ -586,7 +631,7 @@ fn readable_utf8(data: &[u8]) -> Option<&str> {
        .then_some(value)
 }

-async fn discover_provider_models(
+async fn discover_models_from_endpoint(
    client: &reqwest::Client,
    provider_type: ProviderType,
    base_url: &str,
@@ -608,10 +653,10 @@ async fn discover_provider_models(

 fn model_discovery_url(base_url: &str) -> Result<Url> {
    let mut url = Url::parse(base_url)
-        .map_err(|error| Error::Config(format!("invalid provider base URL: {error}")))?;
+        .map_err(|error| Error::Config(format!("invalid model request URL: {error}")))?;
    if url.host_str().is_none() {
        return Err(Error::Config(
-            "provider base URL must contain a host".into(),
+            "model request URL must contain a host".into(),
        ));
    }
    url.set_path("/v1/models");
@@ -747,10 +792,7 @@ mod tests {
    use tokio_util::sync::CancellationToken;

    use crate::{
-        model::{
-            ModelInvocation, ProjectedContent, ProviderEndpointInput, ProviderModelInput,
-            ProviderType,
-        },
+        model::{ModelConfigInput, ModelInvocation, ModelType, ProjectedContent},
        provider::{FinishReason, ModelEvent, Provider, ProviderStream},
        store::Store,
    };
@@ -794,34 +836,30 @@ mod tests {
        .await
        .unwrap();
        let invocation = Arc::new(Mutex::new(None));
-        let provider = store
-            .create_provider(&ProviderEndpointInput {
-                name: "Test".into(),
-                provider_type: ProviderType::OpenAiResponses,
-                base_url: "https://example.com/v1".into(),
-                api_key: None,
-                custom_headers: serde_json::json!({}),
-                extra_params: serde_json::json!({}),
-            })
-            .await
-            .unwrap();
        let model = store
-            .save_provider_model(
-                provider.provider_id,
-                &ProviderModelInput {
-                    model_id: "reasoning-model".into(),
-                    display_name: "Reasoning Model".into(),
-                    endpoint_type: ProviderType::OpenAiResponses,
-                    request_url: String::new(),
-                    enabled: true,
-                    sort_order: 0,
-                    context_window_tokens: None,
-                    max_output_tokens: None,
-                    reasoning_enabled: true,
-                    reasoning_effort: None,
-                    supports_image_generation: false,
-                },
-            )
+            .create_model(&ModelConfigInput {
+                model_id: "reasoning-model".into(),
+                display_name: "Reasoning Model".into(),
+                model_type: ModelType::OpenAi,
+                base_url: "https://example.com/v1/responses".into(),
+                use_full_url: true,
+                api_key: "secret".into(),
+                tooltip_data: "Reasoning Model".into(),
+                sort_order: 0,
+                reasoning_effort: Some("medium".into()),
+                openai_endpoint: "/v1/responses".into(),
+                openai_extra_params_enabled: false,
+                openai_extra_params: serde_json::json!({}),
+                custom_headers_enabled: false,
+                custom_headers: serde_json::json!({}),
+                anthropic_extra_params_enabled: false,
+                anthropic_extra_params: serde_json::json!({}),
+                context_window_tokens: None,
+                max_completion_tokens: None,
+                anthropic_max_tokens: None,
+                anthropic_thinking_effort: None,
+                thinking_budget_tokens: None,
+            })
            .await
            .unwrap();
        let service = ControlService::new(
@@ -916,16 +954,15 @@ mod tests {
        )
        .unwrap();
        let result = service
-            .discover_input(&ProviderEndpointInput {
-                name: "Test".into(),
-                provider_type: ProviderType::OpenAiResponses,
+            .discover_models(&super::ModelDiscoveryInput {
+                model_type: ModelType::OpenAi,
                base_url: format!("http://{address}/custom/responses"),
-                api_key: Some("secret".into()),
+                api_key: "secret".into(),
+                custom_headers_enabled: true,
                custom_headers: serde_json::json!({
                    "uSeR-aGeNt": "inherited-user-agent",
                    "x-tenant": "tenant-a"
                }),
-                extra_params: serde_json::json!({ "temperature": 0.7 }),
            })
            .await
            .unwrap();
@@ -2,7 +2,8 @@ use crate::Result;
 use axum::{extract::State, Json};

 use crate::store::{
-    PortSettings, ProxySettings, ProxySettingsInput, StatisticsStorage, TabSettings,
+    DesktopSettings, PortSettings, ProxySettings, ProxySettingsInput, StatisticsStorage,
+    TabSettings,
 };

 use super::{ControlService, ObservabilitySettings};
@@ -60,3 +61,15 @@ pub async fn update_tab(
 ) -> Result<Json<TabSettings>> {
    Ok(Json(service.set_tab_settings(settings).await?))
 }
+
+pub async fn get_desktop(State(service): State<ControlService>) -> Result<Json<DesktopSettings>> {
+    Ok(Json(service.desktop_settings().await?))
+}
+
+pub async fn update_desktop(
+    State(service): State<ControlService>,
+    Json(settings): Json<DesktopSettings>,
+) -> Result<Json<DesktopSettings>> {
+    service.set_desktop_settings(settings).await?;
+    get_desktop(State(service)).await
+}
@@ -89,24 +89,42 @@ impl CursorActor {
                                                        .map(|parent| parent.tool_call_id.clone()),
                                                    request.conversation_state.clone(),
                                                );
-                                                let parent = handle.parent().map(|parent| {
-                                                    (
-                                                        crate::model::RunId::new(&parent.run_id),
-                                                        parent.tool_call_id.clone(),
+                                                let prepared = async {
+                                                    let parent = match handle.parent() {
+                                                        Some(parent) => {
+                                                            let parent_run_id = dependencies
+                                                                .store
+                                                                .active_run_for_cursor_request(
+                                                                    &parent.request_id,
+                                                                )
+                                                                .await?
+                                                                .ok_or_else(|| {
+                                                                    crate::Error::Protocol(format!(
+                                                                        "Cursor parent request {} has no active local Run",
+                                                                        parent.request_id
+                                                                    ))
+                                                                })?;
+                                                            Some((
+                                                                parent_run_id,
+                                                                parent.tool_call_id.clone(),
+                                                            ))
+                                                        }
+                                                        None => None,
+                                                    };
+                                                    request::prepare(
+                                                        handle.request_id(),
+                                                        &request,
+                                                        parent,
+                                                        request::PrepareDependencies {
+                                                            compiler: &dependencies.compiler,
+                                                            store: &dependencies.store,
+                                                            checkpoint: &checkpoint,
+                                                            blob_sync: &blob_sync,
+                                                            context_sync: &context_sync,
+                                                        },
                                                    )
-                                                });
-                                                let prepared = request::prepare(
-                                                    handle.request_id(),
-                                                    &request,
-                                                    parent,
-                                                    request::PrepareDependencies {
-                                                        compiler: &dependencies.compiler,
-                                                        store: &dependencies.store,
-                                                        checkpoint: &checkpoint,
-                                                        blob_sync: &blob_sync,
-                                                        context_sync: &context_sync,
-                                                    },
-                                                )
+                                                    .await
+                                                }
                                                .await;
                                                let (prepared, context) = match prepared {
                                                    Ok(prepared) => prepared,
@@ -128,7 +128,7 @@ async fn bidi_append_handler(
    let conversation_id = decoded.conversation_id().map(str::to_owned);
    let trace_metadata = decoded.trace_metadata();
    let local = if let Some(model_id) = decoded.model_id() {
-        if registry.store().provider_model(model_id).await?.is_some() {
+        if registry.store().model(model_id).await?.is_some() {
            tracing::info!(
                request_id = decoded.request_id,
                model_id,
@@ -203,12 +203,12 @@ async fn buffered(request: Request<Body>) -> Result<(axum::http::request::Parts,
 }

 fn parent_headers(headers: &HeaderMap) -> Result<Option<CursorParent>> {
-    let run_id = header_text(headers, "x-parent-request-id")?;
+    let request_id = header_text(headers, "x-parent-request-id")?;
    let tool_call_id = header_text(headers, "x-parent-agent-tool-call-id")?;
-    match (run_id, tool_call_id) {
+    match (request_id, tool_call_id) {
        (None, None) => Ok(None),
-        (Some(run_id), Some(tool_call_id)) => Ok(Some(CursorParent {
-            run_id: run_id.into(),
+        (Some(request_id), Some(tool_call_id)) => Ok(Some(CursorParent {
+            request_id: request_id.into(),
            tool_call_id: tool_call_id.into(),
        })),
        _ => Err(crate::Error::Protocol(
@@ -270,7 +270,7 @@ mod tests {
        assert_eq!(
            parent_headers(&headers).unwrap(),
            Some(CursorParent {
-                run_id: "parent-run".into(),
+                request_id: "parent-run".into(),
                tool_call_id: "parent-call".into(),
            })
        );
@@ -1,5 +1,3 @@
-use std::collections::HashMap;
-
 use axum::{
    body::{Body, Bytes},
    extract::{Extension, State},
@@ -14,7 +12,7 @@ use crate::{
        proxy::{self, CursorProxy},
        CursorSessionRegistry,
    },
-    model::{format_token_count, parse_token_count, ProviderModel},
+    model::{format_token_count, parse_token_count, ModelConfig, ModelType},
    Error, Result,
 };

@@ -205,7 +203,7 @@ const EFFORTS: [(&str, &str); 5] = [
 ];
 const DEFAULT_CONTEXT: &str = "200k";

-fn context_options(model: &ProviderModel) -> Vec<(String, String)> {
+fn context_options(model: &ModelConfig) -> Vec<(String, String)> {
    let mut contexts = CONTEXTS
        .into_iter()
        .map(|(value, display_name)| (value.to_owned(), display_name.to_owned()))
@@ -227,30 +225,12 @@ pub async fn available_models(
    Extension(proxy): Extension<CursorProxy>,
    request: Request<Body>,
 ) -> Result<Response<Body>> {
-    let models = registry.store().provider_models(true).await?;
-    let provider_names = registry
-        .store()
-        .providers()
-        .await?
-        .into_iter()
-        .map(|provider| (provider.provider_id, provider.name))
-        .collect::<HashMap<_, _>>();
+    let models = registry.store().models().await?;
    tracing::info!(
        model_count = models.len(),
        "appending BYOK models to Cursor AvailableModels"
    );
-    let available_models = models
-        .iter()
-        .map(|model| {
-            let provider_name = provider_names.get(&model.provider_id).ok_or_else(|| {
-                Error::Config(format!(
-                    "provider {} for model {} does not exist",
-                    model.provider_id, model.model_hash
-                ))
-            })?;
-            Ok(available_model(model, provider_name))
-        })
-        .collect::<Result<Vec<_>>>()?;
+    let available_models = models.iter().map(available_model).collect::<Vec<_>>();
    let local = AvailableModelsAddition {
        model_names: models
            .iter()
@@ -273,7 +253,7 @@ pub async fn usable_models(
    Extension(proxy): Extension<CursorProxy>,
    request: Request<Body>,
 ) -> Result<Response<Body>> {
-    let models = registry.store().provider_models(true).await?;
+    let models = registry.store().models().await?;
    tracing::info!(
        model_count = models.len(),
        "appending BYOK models to Cursor GetUsableModels"
@@ -340,14 +320,14 @@ fn unary_payload(body: &Bytes) -> Result<(bool, &[u8])> {
    Ok((true, &body[5..]))
 }

-fn available_model(model: &ProviderModel, provider_name: &str) -> AvailableModel {
+fn available_model(model: &ModelConfig) -> AvailableModel {
    let contexts = context_options(model);
    let variants = model_variants(model, &contexts);
    let legacy_slugs = variants
        .iter()
        .filter_map(|variant| variant.legacy_slug.clone())
        .collect();
-    let tooltip = model_tooltip(model, "200K", "high", false);
+    let tooltip = model_tooltip(model);
    AvailableModel {
        name: model.model_hash.clone(),
        default_on: true,
@@ -376,7 +356,10 @@ fn available_model(model: &ProviderModel, provider_name: &str) -> AvailableModel
            display_name: "Cursor".into(),
        }),
        model_picker_badges: vec![ModelPickerBadge {
-            label: provider_name.into(),
+            label: match model.model_type {
+                ModelType::OpenAi => "OpenAI".into(),
+                ModelType::Anthropic => "Anthropic".into(),
+            },
            variant: 1,
            dismiss_on_selection: false,
        }],
@@ -447,7 +430,7 @@ fn model_parameters(contexts: &[(String, String)]) -> Vec<ModelParameterDefiniti
    ]
 }

-fn model_variants(model: &ProviderModel, contexts: &[(String, String)]) -> Vec<ModelVariant> {
+fn model_variants(model: &ModelConfig, contexts: &[(String, String)]) -> Vec<ModelVariant> {
    let mut variants = Vec::with_capacity(contexts.len() * EFFORTS.len() * 2);
    for (context, context_name) in contexts {
        for (effort, effort_name) in EFFORTS {
@@ -467,7 +450,7 @@ fn model_variants(model: &ProviderModel, contexts: &[(String, String)]) -> Vec<M
 }

 fn model_variant(
-    model: &ProviderModel,
+    model: &ModelConfig,
    context: &str,
    context_name: &str,
    effort: &str,
@@ -507,7 +490,7 @@ fn model_variant(
        is_max_mode: false,
        is_default_max_config: is_default.then_some(true),
        is_default_non_max_config: is_default.then_some(true),
-        tooltip_data: Some(model_tooltip(model, context_name, effort, fast)),
+        tooltip_data: Some(model_tooltip(model)),
        display_name_outside_picker: Some(display_name),
        variant_string_representation: Some(format!(
            "{}[context={context},effort={effort},fast={fast}]",
@@ -521,22 +504,13 @@ fn model_variant(
    }
 }

-fn model_tooltip(
-    model: &ProviderModel,
-    context_name: &str,
-    effort: &str,
-    fast: bool,
-) -> TooltipData {
-    let fast_label = if fast { " (Fast)" } else { "" };
+fn model_tooltip(model: &ModelConfig) -> TooltipData {
    TooltipData {
-        markdown_content: Some(format!(
-            "**{}{fast_label}**<br /><br />{context_name} context window<br /><br />*Version: {effort} effort*",
-            model.display_name
-        )),
+        markdown_content: Some(model.tooltip_data.clone()),
    }
 }

-fn usable_model(model: &ProviderModel) -> agent::ModelDetails {
+fn usable_model(model: &ModelConfig) -> agent::ModelDetails {
    agent::ModelDetails {
        model_id: model.model_hash.clone(),
        display_model_id: model.model_hash.clone(),
@@ -555,25 +529,34 @@ mod tests {

    #[test]
    fn maps_byok_model_to_cursor_catalog_fields() {
-        let model = ProviderModel {
+        let model = ModelConfig {
            model_hash: "33ceed20".into(),
-            provider_id: 1,
-            model_id: "deepseek-v4-flash".into(),
-            display_name: "DeepSeek V4 Flash".into(),
-            endpoint_type: crate::model::ProviderType::OpenAiResponses,
-            request_url: String::new(),
-            enabled: true,
            sort_order: 0,
-            context_window_tokens: Some(272_000),
-            max_output_tokens: None,
-            reasoning_enabled: false,
+            display_name: "DeepSeek V4 Flash".into(),
+            model_type: ModelType::OpenAi,
+            base_url: "https://example.com/v1/responses".into(),
+            use_full_url: true,
+            api_key: "secret".into(),
+            tooltip_data: "DeepSeek V4 Flash".into(),
+            model_id: "deepseek-v4-flash".into(),
            reasoning_effort: None,
-            supports_image_generation: false,
+            openai_endpoint: "/v1/responses".into(),
+            openai_extra_params_enabled: false,
+            openai_extra_params: serde_json::json!({}),
+            custom_headers_enabled: false,
+            custom_headers: serde_json::json!({}),
+            anthropic_extra_params_enabled: false,
+            anthropic_extra_params: serde_json::json!({}),
+            context_window_tokens: Some(272_000),
+            max_completion_tokens: None,
+            anthropic_max_tokens: None,
+            anthropic_thinking_effort: None,
+            thinking_budget_tokens: None,
            created_at_ms: 0,
            updated_at_ms: 0,
        };

-        let mapped = available_model(&model, "OpenRouter");
+        let mapped = available_model(&model);
        assert_eq!(mapped.name, "33ceed20");
        assert!(mapped.default_on);
        assert_eq!(mapped.supports_agent, Some(true));
@@ -591,6 +574,13 @@ mod tests {
        );
        assert_eq!(mapped.server_model_name.as_deref(), Some("33ceed20"));
        assert_eq!(mapped.named_model_section_index, Some(1));
+        assert_eq!(
+            mapped
+                .tooltip_data
+                .as_ref()
+                .and_then(|tooltip| tooltip.markdown_content.as_deref()),
+            Some("DeepSeek V4 Flash")
+        );
        assert_eq!(mapped.vendor_name.as_deref(), Some("cursor"));
        assert_eq!(mapped.parameter_definitions.len(), 3);
        let context = mapped
@@ -643,7 +633,7 @@ mod tests {
        assert_eq!(mapped.variants.len(), 50);
        assert_eq!(mapped.legacy_slugs.len(), 50);
        assert_eq!(mapped.model_picker_badges.len(), 1);
-        assert_eq!(mapped.model_picker_badges[0].label, "OpenRouter");
+        assert_eq!(mapped.model_picker_badges[0].label, "OpenAI");
        assert!(!mapped.model_picker_badges[0].dismiss_on_selection);
        let default = mapped
            .variants
@@ -1,5 +1,7 @@
 use std::collections::BTreeMap;

+use uuid::Uuid;
+
 use crate::{
    cursor::prompting::{Mode, PromptCompiler},
    cursor::{
@@ -71,9 +73,7 @@ pub(crate) async fn prepare(
            .clone()
            .unwrap_or_else(|| request_id.into()),
    );
-    // RunSSE/Bidi request_id identifies this concrete execution attempt. Cursor may
-    // reuse AgentRunRequest.run_id when a queued or subagent-driven attempt resumes.
-    let run_id = RunId::new(request_id);
+    let run_id = execution_run_id(request_id);
    let mut base_messages = if request.conversation_state.is_some() {
        Some(
            checkpoint
@@ -128,19 +128,15 @@ pub(crate) async fn prepare(
        starts_turn,
        compacting,
        background_completion,
-    } = action(request_id, request)?;
+    } = action(request)?;
    let checkpoint_mode = if request.subagent_type_name.is_some() {
        Mode::Subagent
    } else {
        mode_from_proto(mode_number)?
    };
    let mut model = model::requested_model(request)?;
-    if let Some(provider_model) = store
-        .provider_model(&model.model_id)
-        .await?
-        .filter(|model| model.enabled)
-    {
-        provider_model.configure(&mut model);
+    if let Some(configured_model) = store.model(&model.model_id).await? {
+        configured_model.configure(&mut model);
    }
    let dynamic = context::dynamic_mcp(request, &request_context)?;
    let subagent_model_overrides = model::overrides(request)?;
@@ -286,6 +282,7 @@ pub(crate) async fn prepare(
    Ok((
        PreparedRun {
            run_id,
+            cursor_request_id: Some(request_id.into()),
            conversation_id,
            kind,
            model,
@@ -348,12 +345,17 @@ fn validate_prompt_root(messages: &[CanonicalMessage]) -> Result<()> {
    Ok(())
 }

-fn action(request_id: &str, request: &pb::AgentRunRequest) -> Result<ActionProjection> {
-    let mode = request
+fn execution_run_id(request_id: &str) -> RunId {
+    let execution_id = Uuid::new_v4().simple().to_string();
+    RunId::new(format!("{request_id}:{}", &execution_id[..8]))
+}
+
+fn action(request: &pb::AgentRunRequest) -> Result<ActionProjection> {
+    let conversation_mode = request
        .conversation_state
        .as_ref()
-        .and_then(|state| state.mode)
-        .unwrap_or(pb::AgentMode::Agent as i32);
+        .and_then(|state| state.mode);
+    let mode = conversation_mode.unwrap_or(pb::AgentMode::Agent as i32);
    let Some(action) = request
        .action
        .as_ref()
@@ -375,6 +377,11 @@ fn action(request_id: &str, request: &pb::AgentRunRequest) -> Result<ActionProje
            let user = action.user_message.as_ref().ok_or_else(|| {
                Error::Protocol("Cursor user message action has no UserMessage".into())
            })?;
+            let mode = if user.mode == pb::AgentMode::Unspecified as i32 {
+                conversation_mode.unwrap_or(user.mode)
+            } else {
+                user.mode
+            };
            if user.message_id.is_empty() {
                return Err(Error::Protocol(
                    "Cursor user message action has no message_id".into(),
@@ -382,7 +389,7 @@ fn action(request_id: &str, request: &pb::AgentRunRequest) -> Result<ActionProje
            }
            if user.text.trim() == "/summarize" {
                return Ok(ActionProjection {
-                    mode: user.mode,
+                    mode,
                    turn_user: Some(user.clone()),
                    action_context: String::new(),
                    event_id: None,
@@ -405,12 +412,13 @@ fn action(request_id: &str, request: &pb::AgentRunRequest) -> Result<ActionProje
                    .filter(|text| !text.is_empty())
                    .cloned(),
            );
+            let event_id = format!("cursor:user:{}", user.message_id);
            Ok(ActionProjection {
-                mode: user.mode,
+                mode,
                turn_user: Some(user.clone()),
                action_context: context.join("\n\n"),
-                event_id: Some(format!("run-request:{request_id}")),
-                input_id: Some(format!("cursor:user:{}", user.message_id)),
+                event_id: Some(event_id.clone()),
+                input_id: Some(event_id),
                starts_turn: true,
                compacting: false,
                background_completion: false,
@@ -418,10 +426,11 @@ fn action(request_id: &str, request: &pb::AgentRunRequest) -> Result<ActionProje
        }
        pb::conversation_action::Action::BackgroundTaskCompletionAction(action) => {
            let projection = background::project(action, mode)?;
+            let event_id = projection.turn_user.message_id.clone();
            Ok(ActionProjection {
                mode,
                action_context: projection.context,
-                event_id: Some(format!("run-request:{request_id}")),
+                event_id: Some(event_id),
                input_id: None,
                turn_user: Some(projection.turn_user),
                starts_turn: true,
@@ -598,6 +607,18 @@ mod tests {
        ));
    }

+    #[test]
+    fn execution_run_id_keeps_the_request_id_and_adds_eight_uuid_hex_digits() {
+        let run_id = execution_run_id("01bba7c5-9c00-4922-b1df-1f58146b5d90");
+        let suffix = run_id
+            .as_str()
+            .strip_prefix("01bba7c5-9c00-4922-b1df-1f58146b5d90:")
+            .unwrap();
+
+        assert_eq!(suffix.len(), 8);
+        assert!(suffix.bytes().all(|byte| byte.is_ascii_hexdigit()));
+    }
+
    #[test]
    fn current_user_message_consumes_the_mode_instead_of_history_mode() {
        let request = pb::AgentRunRequest {
@@ -621,7 +642,7 @@ mod tests {
            }),
            ..Default::default()
        };
-        let projection = action("request", &request).unwrap();
+        let projection = action(&request).unwrap();
        assert_eq!(projection.mode, pb::AgentMode::Ask as i32);
        assert_eq!(
            projection.input_id.as_deref(),
@@ -630,6 +651,63 @@ mod tests {
        assert_eq!(mode_from_proto(projection.mode).unwrap(), Mode::Ask);
    }

+    #[test]
+    fn queued_user_message_without_mode_inherits_conversation_mode() {
+        let request = pb::AgentRunRequest {
+            conversation_state: Some(pb::ConversationStateStructure {
+                mode: Some(pb::AgentMode::Agent as i32),
+                ..Default::default()
+            }),
+            action: Some(pb::ConversationAction {
+                action: Some(pb::conversation_action::Action::UserMessageAction(
+                    pb::UserMessageAction {
+                        user_message: Some(pb::UserMessage {
+                            text: "queued follow-up".into(),
+                            message_id: "queued-user-message".into(),
+                            ..Default::default()
+                        }),
+                        ..Default::default()
+                    },
+                )),
+                ..Default::default()
+            }),
+            ..Default::default()
+        };
+
+        let projection = action(&request).unwrap();
+
+        assert_eq!(projection.mode, pb::AgentMode::Agent as i32);
+        assert_eq!(mode_from_proto(projection.mode).unwrap(), Mode::Agent);
+    }
+
+    #[test]
+    fn queued_messages_reusing_a_request_id_keep_distinct_runtime_identities() {
+        let request = |message_id: &str| pb::AgentRunRequest {
+            action: Some(pb::ConversationAction {
+                action: Some(pb::conversation_action::Action::UserMessageAction(
+                    pb::UserMessageAction {
+                        user_message: Some(pb::UserMessage {
+                            text: "queued follow-up".into(),
+                            message_id: message_id.into(),
+                            mode: pb::AgentMode::Agent as i32,
+                            ..Default::default()
+                        }),
+                        ..Default::default()
+                    },
+                )),
+                ..Default::default()
+            }),
+            ..Default::default()
+        };
+
+        let first = action(&request("message-one")).unwrap();
+        let second = action(&request("message-two")).unwrap();
+
+        assert_eq!(first.event_id.as_deref(), Some("cursor:user:message-one"));
+        assert_eq!(second.event_id.as_deref(), Some("cursor:user:message-two"));
+        assert_ne!(first.event_id, second.event_id);
+    }
+
    #[test]
    fn execute_plan_appends_the_approved_plan_as_a_stable_runtime_event() {
        let execute = pb::ExecutePlanAction {
@@ -648,8 +726,8 @@ mod tests {
            ..Default::default()
        };

-        let first = action("request-one", &request).unwrap();
-        let second = action("request-two", &request).unwrap();
+        let first = action(&request).unwrap();
+        let second = action(&request).unwrap();
        assert_eq!(first.mode, pb::AgentMode::Agent as i32);
        assert!(first.starts_turn);
        assert_eq!(first.event_id, second.event_id);
@@ -35,7 +35,7 @@ pub struct CursorSessionHandle {

 #[derive(Clone, Debug, PartialEq, Eq)]
 pub struct CursorParent {
-    pub run_id: String,
+    pub request_id: String,
    pub tool_call_id: String,
 }

@@ -69,9 +69,9 @@ impl CursorSessionHandle {
        self.cancellation.clone()
    }
    pub fn set_parent(&self, parent: CursorParent) -> Result<()> {
-        if parent.run_id.is_empty() || parent.tool_call_id.is_empty() {
+        if parent.request_id.is_empty() || parent.tool_call_id.is_empty() {
            return Err(crate::Error::Protocol(
-                "Cursor parent run and tool call ids are required".into(),
+                "Cursor parent request and tool call ids are required".into(),
            ));
        }
        if self.parent.get().is_some_and(|current| current != &parent) {
@@ -34,27 +34,33 @@ pub fn request(id: u32, call: &ToolCall, context: &ExecContext) -> Result<pb::Ag
            .map(|v| v as i32)
    };
    let message = match normalize(&call.name).as_str() {
-        "shell" => Message::ShellStreamArgs(pb::ShellArgs {
-            command: string("command")?,
-            working_directory: optional_string("working_directory").unwrap_or_default(),
-            timeout: shell_timeout(call)?,
-            tool_call_id: call.call_id.clone(),
-            file_output_threshold_bytes: Some(40_000),
-            timeout_behavior: pb::TimeoutBehavior::Background as i32,
-            hard_timeout: Some(86_400_000),
-            description: optional_string("description"),
-            output_notification: shell_notification(call)?,
-            smart_mode_approval: smart_mode_approval(
-                call,
-                "request_smart_mode_approval",
-                "smart_mode_block_reason",
-            )?,
-            requested_sandbox_policy: shell_sandbox_policy(call),
-            close_stdin: true,
-            conversation_id: Some(context.conversation_id.clone()),
-            admin_command_denylist: context.admin_command_denylist.clone(),
-            ..Default::default()
-        }),
+        "shell" => {
+            let command = string("command")?;
+            let (simple_commands, parsing_result) = shell_command_metadata(&command);
+            Message::ShellStreamArgs(pb::ShellArgs {
+                command,
+                working_directory: optional_string("working_directory").unwrap_or_default(),
+                timeout: shell_timeout(call)?,
+                tool_call_id: call.call_id.clone(),
+                simple_commands,
+                parsing_result,
+                file_output_threshold_bytes: Some(40_000),
+                timeout_behavior: pb::TimeoutBehavior::Background as i32,
+                hard_timeout: Some(86_400_000),
+                description: optional_string("description"),
+                output_notification: shell_notification(call)?,
+                smart_mode_approval: smart_mode_approval(
+                    call,
+                    "request_smart_mode_approval",
+                    "smart_mode_block_reason",
+                )?,
+                requested_sandbox_policy: shell_sandbox_policy(call),
+                close_stdin: true,
+                conversation_id: Some(context.conversation_id.clone()),
+                admin_command_denylist: context.admin_command_denylist.clone(),
+                ..Default::default()
+            })
+        }
        "read" => Message::ReadArgs(pb::ReadArgs {
            path: string("path")?,
            tool_call_id: call.call_id.clone(),
@@ -368,10 +374,7 @@ pub fn abort(id: u32) -> pb::AgentServerMessage {

 fn shell_sandbox_policy(call: &ToolCall) -> Option<pb::SandboxPolicy> {
    let permissions = call.arguments.get("required_permissions")?.as_array()?;
-    let perms: Vec<&str> = permissions
-        .iter()
-        .filter_map(Value::as_str)
-        .collect();
+    let perms: Vec<&str> = permissions.iter().filter_map(Value::as_str).collect();
    if perms.contains(&"all") {
        Some(pb::SandboxPolicy {
            r#type: pb::sandbox_policy::Type::InsecureNone as i32,
@@ -389,6 +392,33 @@ fn shell_sandbox_policy(call: &ToolCall) -> Option<pb::SandboxPolicy> {
    }
 }

+fn shell_command_metadata(command: &str) -> (Vec<String>, Option<pb::ShellCommandParsingResult>) {
+    let command = command.trim();
+    let mut parts = command.split_whitespace();
+    let Some(name) = parts.next() else {
+        return (Vec::new(), None);
+    };
+    let args = parts
+        .map(
+            |value| pb::shell_command_parsing_result::ExecutableCommandArg {
+                r#type: "word".into(),
+                value: value.into(),
+            },
+        )
+        .collect();
+    (
+        vec![command.into()],
+        Some(pb::ShellCommandParsingResult {
+            executable_commands: vec![pb::shell_command_parsing_result::ExecutableCommand {
+                name: name.into(),
+                args,
+                full_text: command.into(),
+            }],
+            ..Default::default()
+        }),
+    )
+}
+
 fn shell_timeout(call: &ToolCall) -> Result<i32> {
    let value = call
        .arguments
@@ -409,6 +409,10 @@ fn creates_subagent(call: &ToolCall) -> bool {
    )
 }

+fn missing(name: &str) -> Error {
+    Error::Protocol(format!("{name} returned no result"))
+}
+
 #[cfg(test)]
 mod tests {
    use std::collections::HashMap;
@@ -508,7 +512,3 @@ mod tests {
        assert!(content.contains("cannot find value `name`"));
    }
 }
-
-fn missing(name: &str) -> Error {
-    Error::Protocol(format!("{name} returned no result"))
-}
@@ -46,9 +46,6 @@ impl CaManager {
    }

    pub fn state(&self) -> Result<CaState> {
-        if !matches!(std::env::consts::OS, "macos" | "windows") {
-            return Ok(CaState::Unsupported);
-        }
        let cert = fs::read_to_string(self.cert_path());
        let key = fs::read_to_string(self.key_path());
        match (cert, key) {
@@ -93,18 +90,21 @@ impl CaManager {
                "certutil -addstore -f Root \"{}\"",
                self.cert_path().display()
            )),
+            "linux" => {
+                let anchor = linux_anchor_file();
+                Some(format!(
+                    "sudo cp '{}' '{}' && sudo {}",
+                    path,
+                    anchor.display(),
+                    linux_refresh_command()
+                ))
+            }
            _ => None,
        }
    }

    pub fn initialize_local(&self) -> Result<()> {
        match self.state()? {
-            CaState::Unsupported => {
-                return Err(Error::Config(format!(
-                    "CA installation is not supported on {}",
-                    std::env::consts::OS
-                )))
-            }
            CaState::Invalid => {
                return Err(Error::Config("CA files are incomplete or invalid".into()))
            }
@@ -210,8 +210,31 @@ fn is_installed(cert: &str) -> Result<bool> {
 }

 #[cfg(not(any(target_os = "macos", target_os = "windows")))]
-fn is_installed(_cert: &str) -> Result<bool> {
-    Ok(false)
+fn is_installed(cert: &str) -> Result<bool> {
+    match fs::read_to_string(linux_anchor_file()) {
+        Ok(installed) => Ok(installed.trim() == cert.trim()),
+        Err(error) if error.kind() == std::io::ErrorKind::NotFound => Ok(false),
+        Err(error) => Err(error.into()),
+    }
+}
+
+const LINUX_ANCHOR_NAME: &str = "cursor-byok-local-ca.crt";
+
+fn linux_anchor_file() -> PathBuf {
+    if PathBuf::from("/etc/pki/ca-trust/source/anchors").is_dir() {
+        PathBuf::from("/etc/pki/ca-trust/source/anchors").join(LINUX_ANCHOR_NAME)
+    } else if PathBuf::from("/etc/ca-certificates/trust-source/anchors").is_dir() {
+        PathBuf::from("/etc/ca-certificates/trust-source/anchors").join(LINUX_ANCHOR_NAME)
+    } else {
+        PathBuf::from("/usr/local/share/ca-certificates").join(LINUX_ANCHOR_NAME)
+    }
+}
+
+fn linux_refresh_command() -> &'static str {
+    match linux_anchor_file().parent().and_then(|dir| dir.to_str()) {
+        Some("/usr/local/share/ca-certificates") => "update-ca-certificates",
+        _ => "update-ca-trust extract",
+    }
 }

 #[cfg(test)]
@@ -31,7 +31,6 @@ pub enum CaState {
    Untrusted,
    Ready,
    Invalid,
-    Unsupported,
 }

 #[derive(Clone, Debug, Serialize)]
@@ -95,9 +94,9 @@ impl CursorHarness {
    }

    pub async fn status(&self) -> Result<CursorHarnessStatus> {
-        let models = self.inner.store.provider_models(false).await?;
+        let models = self.inner.store.models().await?;
        let configured_models = models.len();
-        let enabled_models = models.iter().filter(|model| model.enabled).count();
+        let enabled_models = configured_models;
        let ca = self.inner.ca.state()?;
        if integration_prerequisites_ready(&ca, self.inner.backend_addr.read().is_some()) {
            self.enable().await?;
@@ -0,0 +1,508 @@
+use std::{fmt, str::FromStr};
+
+use reqwest::Url;
+use serde::{Deserialize, Serialize};
+use sha2::{Digest, Sha256};
+
+use crate::{Error, Result};
+
+pub const OPENAI_RESPONSES_ENDPOINT: &str = "/v1/responses";
+pub const OPENAI_CHAT_ENDPOINT: &str = "/v1/chat/completions";
+
+#[derive(Clone, Copy, Debug, Deserialize, Serialize, PartialEq, Eq)]
+pub enum ProviderType {
+    #[serde(rename = "openai-chat")]
+    OpenAiChat,
+    #[serde(rename = "openai-responses")]
+    OpenAiResponses,
+    #[serde(rename = "anthropic")]
+    Anthropic,
+}
+
+impl ProviderType {
+    pub fn as_str(self) -> &'static str {
+        match self {
+            Self::OpenAiChat => "openai-chat",
+            Self::OpenAiResponses => "openai-responses",
+            Self::Anthropic => "anthropic",
+        }
+    }
+}
+
+impl fmt::Display for ProviderType {
+    fn fmt(&self, formatter: &mut fmt::Formatter<'_>) -> fmt::Result {
+        formatter.write_str(self.as_str())
+    }
+}
+
+impl FromStr for ProviderType {
+    type Err = Error;
+
+    fn from_str(value: &str) -> Result<Self> {
+        match value {
+            "openai-chat" => Ok(Self::OpenAiChat),
+            "openai-responses" => Ok(Self::OpenAiResponses),
+            "anthropic" => Ok(Self::Anthropic),
+            _ => Err(Error::Config(format!("unsupported provider type: {value}"))),
+        }
+    }
+}
+
+#[derive(Clone, Copy, Debug, Deserialize, Serialize, PartialEq, Eq)]
+#[serde(rename_all = "lowercase")]
+pub enum ModelType {
+    OpenAi,
+    Anthropic,
+}
+
+impl ModelType {
+    pub fn as_str(self) -> &'static str {
+        match self {
+            Self::OpenAi => "openai",
+            Self::Anthropic => "anthropic",
+        }
+    }
+}
+
+impl FromStr for ModelType {
+    type Err = Error;
+
+    fn from_str(value: &str) -> Result<Self> {
+        match value {
+            "openai" => Ok(Self::OpenAi),
+            "anthropic" => Ok(Self::Anthropic),
+            _ => Err(Error::Config(format!("unsupported model type: {value}"))),
+        }
+    }
+}
+
+#[derive(Clone, Debug, Deserialize, Serialize)]
+pub struct ModelConfigInput {
+    #[serde(default)]
+    pub sort_order: i64,
+    pub display_name: String,
+    #[serde(rename = "type")]
+    pub model_type: ModelType,
+    pub base_url: String,
+    #[serde(default)]
+    pub use_full_url: bool,
+    pub api_key: String,
+    pub tooltip_data: String,
+    pub model_id: String,
+    #[serde(default)]
+    pub reasoning_effort: Option<String>,
+    #[serde(default)]
+    pub openai_endpoint: String,
+    #[serde(default)]
+    pub openai_extra_params_enabled: bool,
+    #[serde(default = "empty_object")]
+    pub openai_extra_params: serde_json::Value,
+    #[serde(default)]
+    pub custom_headers_enabled: bool,
+    #[serde(default = "empty_object")]
+    pub custom_headers: serde_json::Value,
+    #[serde(default)]
+    pub anthropic_extra_params_enabled: bool,
+    #[serde(default = "empty_object")]
+    pub anthropic_extra_params: serde_json::Value,
+    pub context_window_tokens: Option<u64>,
+    pub max_completion_tokens: Option<u64>,
+    pub anthropic_max_tokens: Option<u64>,
+    #[serde(default)]
+    pub anthropic_thinking_effort: Option<String>,
+    pub thinking_budget_tokens: Option<u64>,
+}
+
+#[derive(Clone, Debug, Serialize)]
+pub struct ModelConfig {
+    pub model_hash: String,
+    pub sort_order: i64,
+    pub display_name: String,
+    #[serde(rename = "type")]
+    pub model_type: ModelType,
+    pub base_url: String,
+    pub use_full_url: bool,
+    pub api_key: String,
+    pub tooltip_data: String,
+    pub model_id: String,
+    pub reasoning_effort: Option<String>,
+    pub openai_endpoint: String,
+    pub openai_extra_params_enabled: bool,
+    pub openai_extra_params: serde_json::Value,
+    pub custom_headers_enabled: bool,
+    pub custom_headers: serde_json::Value,
+    pub anthropic_extra_params_enabled: bool,
+    pub anthropic_extra_params: serde_json::Value,
+    pub context_window_tokens: Option<u64>,
+    pub max_completion_tokens: Option<u64>,
+    pub anthropic_max_tokens: Option<u64>,
+    pub anthropic_thinking_effort: Option<String>,
+    pub thinking_budget_tokens: Option<u64>,
+    pub created_at_ms: i64,
+    pub updated_at_ms: i64,
+}
+
+impl ModelConfig {
+    pub fn provider_type(&self) -> ProviderType {
+        match self.model_type {
+            ModelType::Anthropic => ProviderType::Anthropic,
+            ModelType::OpenAi if self.openai_endpoint == OPENAI_RESPONSES_ENDPOINT => {
+                ProviderType::OpenAiResponses
+            }
+            ModelType::OpenAi => ProviderType::OpenAiChat,
+        }
+    }
+
+    pub fn request_url(&self) -> Result<String> {
+        resolve_request_url(
+            self.model_type,
+            &self.base_url,
+            &self.openai_endpoint,
+            self.use_full_url,
+        )
+    }
+
+    pub fn max_output_tokens(&self) -> Option<u64> {
+        match self.model_type {
+            ModelType::OpenAi => self.max_completion_tokens,
+            ModelType::Anthropic => self.anthropic_max_tokens.or(self.max_completion_tokens),
+        }
+    }
+
+    pub fn extra_params(&self) -> &serde_json::Value {
+        match self.model_type {
+            ModelType::OpenAi if self.openai_extra_params_enabled => &self.openai_extra_params,
+            ModelType::Anthropic if self.anthropic_extra_params_enabled => {
+                &self.anthropic_extra_params
+            }
+            _ => empty_object_ref(),
+        }
+    }
+
+    pub fn configure(&self, model: &mut super::ModelSpec) {
+        model.display_name = Some(self.display_name.clone());
+        if model.reasoning.effort.is_none() {
+            model.reasoning.effort = match self.model_type {
+                ModelType::OpenAi => self.reasoning_effort.clone(),
+                ModelType::Anthropic => self.anthropic_thinking_effort.clone(),
+            };
+        }
+        model.reasoning.enabled |= model.reasoning.effort.is_some();
+    }
+}
+
+pub fn normalize_model_input(input: &ModelConfigInput) -> Result<ModelConfigInput> {
+    let display_name = required(&input.display_name, "model display name")?;
+    let base_url = normalize_request_url(&input.base_url)?;
+    let api_key = required(&input.api_key, "model API key")?;
+    let tooltip_data = required(&input.tooltip_data, "model tooltip")?;
+    let model_id = required(&input.model_id, "model id")?;
+    let reasoning_effort = normalize_effort(input.reasoning_effort.as_deref(), true)?;
+    let anthropic_thinking_effort = match input.model_type {
+        ModelType::Anthropic => Some(
+            normalize_effort(
+                input.anthropic_thinking_effort.as_deref().or(Some("xhigh")),
+                false,
+            )?
+            .expect("Anthropic effort has a default"),
+        ),
+        ModelType::OpenAi => None,
+    };
+    let openai_endpoint = match input.model_type {
+        ModelType::OpenAi => normalize_openai_endpoint(&input.openai_endpoint)?,
+        ModelType::Anthropic => String::new(),
+    };
+    validate_object(&input.openai_extra_params, "OpenAI extra params")?;
+    validate_object(&input.anthropic_extra_params, "Anthropic extra params")?;
+    validate_headers(&input.custom_headers)?;
+
+    let normalized = ModelConfigInput {
+        sort_order: input.sort_order.max(0),
+        display_name,
+        model_type: input.model_type,
+        base_url,
+        use_full_url: input.use_full_url,
+        api_key,
+        tooltip_data,
+        model_id,
+        reasoning_effort: (input.model_type == ModelType::OpenAi)
+            .then_some(reasoning_effort)
+            .flatten(),
+        openai_endpoint,
+        openai_extra_params_enabled: input.model_type == ModelType::OpenAi
+            && input.openai_extra_params_enabled,
+        openai_extra_params: if input.model_type == ModelType::OpenAi {
+            input.openai_extra_params.clone()
+        } else {
+            empty_object()
+        },
+        custom_headers_enabled: input.custom_headers_enabled,
+        custom_headers: input.custom_headers.clone(),
+        anthropic_extra_params_enabled: input.model_type == ModelType::Anthropic
+            && input.anthropic_extra_params_enabled,
+        anthropic_extra_params: if input.model_type == ModelType::Anthropic {
+            input.anthropic_extra_params.clone()
+        } else {
+            empty_object()
+        },
+        context_window_tokens: positive(input.context_window_tokens, "context window")?,
+        max_completion_tokens: positive(input.max_completion_tokens, "max completion tokens")?,
+        anthropic_max_tokens: positive(input.anthropic_max_tokens, "Anthropic max tokens")?,
+        anthropic_thinking_effort,
+        thinking_budget_tokens: positive(input.thinking_budget_tokens, "thinking budget")?,
+    };
+    resolve_request_url(
+        normalized.model_type,
+        &normalized.base_url,
+        &normalized.openai_endpoint,
+        normalized.use_full_url,
+    )?;
+    Ok(normalized)
+}
+
+pub fn model_hash(input: &ModelConfigInput) -> Result<String> {
+    let normalized = normalize_model_input(input)?;
+    let request_url = resolve_request_url(
+        normalized.model_type,
+        &normalized.base_url,
+        &normalized.openai_endpoint,
+        normalized.use_full_url,
+    )?;
+    let mut parts = vec![
+        request_url,
+        normalized.model_id,
+        normalized.api_key,
+        normalized.display_name,
+    ];
+    if normalized.model_type == ModelType::OpenAi {
+        parts.push(normalized.openai_endpoint);
+    }
+    let digest = Sha256::digest(parts.join("\n").as_bytes());
+    Ok(hex::encode(&digest[..8]))
+}
+
+pub fn normalize_request_url(value: &str) -> Result<String> {
+    let value = value.trim();
+    let url = Url::parse(value)
+        .map_err(|error| Error::Config(format!("invalid model request URL: {error}")))?;
+    if !matches!(url.scheme(), "http" | "https") || url.host_str().is_none() {
+        return Err(Error::Config(
+            "model request URL must be an HTTP(S) URL with a host".into(),
+        ));
+    }
+    if url.fragment().is_some() {
+        return Err(Error::Config(
+            "model request URL cannot contain a fragment".into(),
+        ));
+    }
+    Ok(value.into())
+}
+
+pub fn resolve_request_url(
+    model_type: ModelType,
+    base_url: &str,
+    openai_endpoint: &str,
+    use_full_url: bool,
+) -> Result<String> {
+    let base_url = normalize_request_url(base_url)?;
+    let endpoint = match model_type {
+        ModelType::OpenAi => normalize_openai_endpoint(openai_endpoint)?,
+        ModelType::Anthropic => "/v1/messages".into(),
+    };
+    if use_full_url {
+        return Ok(base_url);
+    }
+    append_standard_endpoint(&base_url, &endpoint)
+}
+
+fn append_standard_endpoint(base_url: &str, endpoint: &str) -> Result<String> {
+    let mut url = Url::parse(base_url)
+        .map_err(|error| Error::Config(format!("invalid model server URL: {error}")))?;
+    let base_path = url.path().trim_end_matches('/').to_string();
+    let endpoint = if has_trailing_version(&base_path) {
+        endpoint.strip_prefix("/v1").unwrap_or(endpoint)
+    } else {
+        endpoint
+    };
+    url.set_path(&format!("{base_path}{endpoint}"));
+    normalize_request_url(url.as_str())
+}
+
+fn has_trailing_version(path: &str) -> bool {
+    let Some(segment) = path.rsplit('/').next() else {
+        return false;
+    };
+    segment.strip_prefix('v').is_some_and(|digits| {
+        !digits.is_empty() && digits.bytes().all(|byte| byte.is_ascii_digit())
+    })
+}
+
+pub fn is_sensitive_header(name: &str) -> bool {
+    matches!(
+        name.to_ascii_lowercase().as_str(),
+        "authorization" | "proxy-authorization" | "x-api-key" | "api-key" | "cookie" | "set-cookie"
+    )
+}
+
+fn normalize_openai_endpoint(value: &str) -> Result<String> {
+    match value.trim() {
+        "" | OPENAI_RESPONSES_ENDPOINT => Ok(OPENAI_RESPONSES_ENDPOINT.into()),
+        OPENAI_CHAT_ENDPOINT => Ok(OPENAI_CHAT_ENDPOINT.into()),
+        value => Err(Error::Config(format!(
+            "unsupported OpenAI endpoint: {value}"
+        ))),
+    }
+}
+
+fn normalize_effort(value: Option<&str>, allow_empty: bool) -> Result<Option<String>> {
+    let value = value.unwrap_or_default().trim().to_ascii_lowercase();
+    if value.is_empty() && allow_empty {
+        return Ok(None);
+    }
+    if matches!(value.as_str(), "low" | "medium" | "high" | "xhigh" | "max") {
+        Ok(Some(value))
+    } else {
+        Err(Error::Config(format!(
+            "unsupported reasoning effort: {value}"
+        )))
+    }
+}
+
+fn positive(value: Option<u64>, label: &str) -> Result<Option<u64>> {
+    match value {
+        Some(0) => Err(Error::Config(format!("{label} must be greater than zero"))),
+        value => Ok(value),
+    }
+}
+
+fn required(value: &str, label: &str) -> Result<String> {
+    let value = value.trim();
+    if value.is_empty() {
+        Err(Error::Config(format!("{label} cannot be empty")))
+    } else {
+        Ok(value.into())
+    }
+}
+
+fn validate_object(value: &serde_json::Value, label: &str) -> Result<()> {
+    if value.is_object() {
+        Ok(())
+    } else {
+        Err(Error::Config(format!("{label} must be a JSON object")))
+    }
+}
+
+fn validate_headers(value: &serde_json::Value) -> Result<()> {
+    validate_object(value, "custom headers")?;
+    for (name, value) in value.as_object().expect("validated object") {
+        if name.trim().is_empty() || !value.is_string() {
+            return Err(Error::Config(
+                "custom headers must have non-empty names and string values".into(),
+            ));
+        }
+    }
+    Ok(())
+}
+
+fn empty_object() -> serde_json::Value {
+    serde_json::json!({})
+}
+
+fn empty_object_ref() -> &'static serde_json::Value {
+    static EMPTY: std::sync::OnceLock<serde_json::Value> = std::sync::OnceLock::new();
+    EMPTY.get_or_init(empty_object)
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    fn input() -> ModelConfigInput {
+        ModelConfigInput {
+            sort_order: 1,
+            display_name: "Model A".into(),
+            model_type: ModelType::OpenAi,
+            base_url: "https://example.com/custom/generate".into(),
+            use_full_url: true,
+            api_key: "secret".into(),
+            tooltip_data: "Model A".into(),
+            model_id: "model-a".into(),
+            reasoning_effort: Some("high".into()),
+            openai_endpoint: OPENAI_RESPONSES_ENDPOINT.into(),
+            openai_extra_params_enabled: false,
+            openai_extra_params: empty_object(),
+            custom_headers_enabled: false,
+            custom_headers: empty_object(),
+            anthropic_extra_params_enabled: false,
+            anthropic_extra_params: empty_object(),
+            context_window_tokens: Some(200_000),
+            max_completion_tokens: None,
+            anthropic_max_tokens: None,
+            anthropic_thinking_effort: None,
+            thinking_budget_tokens: None,
+        }
+    }
+
+    #[test]
+    fn hash_matches_the_v0049_channel_identity() {
+        let input = input();
+        let expected = Sha256::digest(
+            "https://example.com/custom/generate\nmodel-a\nsecret\nModel A\n/v1/responses"
+                .as_bytes(),
+        );
+        assert_eq!(model_hash(&input).unwrap(), hex::encode(&expected[..8]));
+    }
+
+    #[test]
+    fn request_url_is_exact_and_protocol_does_not_depend_on_its_path() {
+        assert_eq!(
+            resolve_request_url(
+                ModelType::OpenAi,
+                "https://example.com/custom/generate?api-version=2026-01-01",
+                OPENAI_RESPONSES_ENDPOINT,
+                true,
+            )
+            .unwrap(),
+            "https://example.com/custom/generate?api-version=2026-01-01"
+        );
+        assert_eq!(
+            resolve_request_url(
+                ModelType::OpenAi,
+                "https://example.com/another/arbitrary/path",
+                OPENAI_CHAT_ENDPOINT,
+                true,
+            )
+            .unwrap(),
+            "https://example.com/another/arbitrary/path"
+        );
+        assert_eq!(
+            resolve_request_url(ModelType::Anthropic, "https://example.com/claude", "", true)
+                .unwrap(),
+            "https://example.com/claude"
+        );
+        assert_eq!(
+            resolve_request_url(
+                ModelType::Anthropic,
+                "https://example.com/claude/",
+                "",
+                true
+            )
+            .unwrap(),
+            "https://example.com/claude/"
+        );
+        assert_eq!(
+            resolve_request_url(
+                ModelType::OpenAi,
+                "https://example.com/v1",
+                OPENAI_RESPONSES_ENDPOINT,
+                false,
+            )
+            .unwrap(),
+            "https://example.com/v1/responses"
+        );
+        assert_eq!(
+            resolve_request_url(ModelType::Anthropic, "https://example.com/v1", "", false).unwrap(),
+            "https://example.com/v1/messages"
+        );
+    }
+}
@@ -1,6 +1,8 @@
 use serde::{Deserialize, Serialize};

-use super::{ModelSpec, ProjectedMessage, ToolDefinition};
+use super::{ModelSpec, ProjectedContent, ProjectedMessage, ToolDefinition};
+
+const PROVIDER_TOOL_CALL_ID_MAX_CHARS: usize = 64;

 #[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
 pub struct PromptSpec {
@@ -23,3 +25,106 @@ pub struct ModelInvocation {
    pub provider_call_index: u64,
    pub request: ModelRequest,
 }
+
+pub(crate) fn normalize_provider_tool_call_ids(history: &mut [ProjectedMessage]) {
+    for message in history {
+        match &mut message.content {
+            ProjectedContent::Assistant { calls, .. } => {
+                for call in calls {
+                    truncate_tool_call_id(&mut call.call_id);
+                }
+            }
+            ProjectedContent::ToolResult(result) => {
+                truncate_tool_call_id(&mut result.call_id);
+            }
+            ProjectedContent::Parts(_) => {}
+        }
+    }
+}
+
+fn truncate_tool_call_id(call_id: &mut String) {
+    if let Some((end, _)) = call_id.char_indices().nth(PROVIDER_TOOL_CALL_ID_MAX_CHARS) {
+        call_id.truncate(end);
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::normalize_provider_tool_call_ids;
+    use crate::model::{
+        ProjectedContent, ProjectedMessage, Role, ToolCallContent, ToolResultContent,
+    };
+
+    #[test]
+    fn provider_tool_call_ids_are_truncated_once_for_every_provider() {
+        let call_id = format!("cursor-tool-call:{}", "x".repeat(68));
+        assert_eq!(call_id.len(), 85);
+        let expected = call_id[..64].to_string();
+        let mut history = vec![
+            ProjectedMessage {
+                message_id: "assistant".into(),
+                role: Role::Assistant,
+                content: ProjectedContent::Assistant {
+                    text: String::new(),
+                    thinking: String::new(),
+                    replay_state: None,
+                    calls: vec![ToolCallContent {
+                        index: 0,
+                        call_id: call_id.clone(),
+                        name: "Shell".into(),
+                        arguments: serde_json::json!({}),
+                    }],
+                },
+            },
+            ProjectedMessage {
+                message_id: "result".into(),
+                role: Role::Tool,
+                content: ProjectedContent::ToolResult(ToolResultContent {
+                    call_id,
+                    name: "Shell".into(),
+                    content: "done".into(),
+                    is_error: false,
+                    image: None,
+                    provider_parts: Vec::new(),
+                }),
+            },
+        ];
+
+        normalize_provider_tool_call_ids(&mut history);
+
+        let ProjectedContent::Assistant { calls, .. } = &history[0].content else {
+            panic!("expected assistant message");
+        };
+        let ProjectedContent::ToolResult(result) = &history[1].content else {
+            panic!("expected tool result");
+        };
+        assert_eq!(calls[0].call_id, expected);
+        assert_eq!(result.call_id, expected);
+    }
+
+    #[test]
+    fn provider_tool_call_id_truncation_counts_unicode_characters() {
+        let mut history = vec![ProjectedMessage {
+            message_id: "assistant".into(),
+            role: Role::Assistant,
+            content: ProjectedContent::Assistant {
+                text: String::new(),
+                thinking: String::new(),
+                replay_state: None,
+                calls: vec![ToolCallContent {
+                    index: 0,
+                    call_id: format!("{}界y", "x".repeat(63)),
+                    name: "Read".into(),
+                    arguments: serde_json::json!({}),
+                }],
+            },
+        }];
+
+        normalize_provider_tool_call_ids(&mut history);
+
+        let ProjectedContent::Assistant { calls, .. } = &history[0].content else {
+            panic!("expected assistant message");
+        };
+        assert_eq!(calls[0].call_id, format!("{}界", "x".repeat(63)));
+    }
+}
@@ -1,6 +1,6 @@
 use serde::Serialize;

-use super::ProviderType;
+use super::{ProviderType, Usage};

 #[derive(Clone, Debug)]
 pub struct NewLlmCall {
@@ -22,6 +22,14 @@ pub struct NewLlmCall {
    pub detailed: bool,
 }

+#[derive(Clone, Copy, Debug, PartialEq, Eq)]
+pub(crate) struct LlmCallUsageAnchor {
+    pub request_type: ProviderType,
+    pub usage: Usage,
+    pub message_count: usize,
+    pub tool_count: usize,
+}
+
 #[derive(Clone, Debug, Serialize)]
 pub struct LlmCallSummary {
    pub call_id: String,
@@ -1,3 +1,4 @@
+mod configuration;
 mod conversation;
 mod cursor_trace;
 mod inference;
@@ -6,13 +7,13 @@ mod message;
 mod model_spec;
 mod overview;
 mod projection;
-mod provider;
 mod run;
 mod runtime_tag;
 mod token_count;
 mod tool;
 mod usage;

+pub use configuration::*;
 pub use conversation::*;
 pub use cursor_trace::*;
 pub use inference::*;
@@ -21,7 +22,6 @@ pub use message::*;
 pub use model_spec::*;
 pub use overview::*;
 pub use projection::*;
-pub use provider::*;
 pub use run::*;
 pub use runtime_tag::*;
 pub(crate) use token_count::*;
@@ -1,341 +0,0 @@
-use std::{fmt, str::FromStr};
-
-use reqwest::Url;
-use serde::{Deserialize, Serialize};
-use sha2::{Digest, Sha256};
-
-use crate::{Error, Result};
-
-#[derive(Clone, Copy, Debug, Deserialize, Serialize, PartialEq, Eq)]
-pub enum ProviderType {
-    #[serde(rename = "openai-chat")]
-    OpenAiChat,
-    #[serde(rename = "openai-responses")]
-    OpenAiResponses,
-    #[serde(rename = "anthropic")]
-    Anthropic,
-}
-
-impl ProviderType {
-    pub fn as_str(self) -> &'static str {
-        match self {
-            Self::OpenAiChat => "openai-chat",
-            Self::OpenAiResponses => "openai-responses",
-            Self::Anthropic => "anthropic",
-        }
-    }
-}
-
-impl fmt::Display for ProviderType {
-    fn fmt(&self, formatter: &mut fmt::Formatter<'_>) -> fmt::Result {
-        formatter.write_str(self.as_str())
-    }
-}
-
-impl FromStr for ProviderType {
-    type Err = Error;
-
-    fn from_str(value: &str) -> Result<Self> {
-        match value {
-            "openai-chat" => Ok(Self::OpenAiChat),
-            "openai-responses" => Ok(Self::OpenAiResponses),
-            "anthropic" => Ok(Self::Anthropic),
-            _ => Err(Error::Config(format!("unsupported provider type: {value}"))),
-        }
-    }
-}
-
-#[derive(Clone, Debug, Serialize)]
-pub struct ProviderEndpoint {
-    pub provider_id: i64,
-    pub name: String,
-    pub provider_type: ProviderType,
-    pub base_url: String,
-    pub api_key: Option<String>,
-    pub has_api_key: bool,
-    pub custom_headers: serde_json::Value,
-    pub extra_params: serde_json::Value,
-    pub created_at_ms: i64,
-    pub updated_at_ms: i64,
-}
-
-#[derive(Clone, Debug)]
-pub struct ProviderEndpointSecret {
-    pub endpoint: ProviderEndpoint,
-    pub custom_headers: serde_json::Value,
-}
-
-#[derive(Clone, Debug, Deserialize)]
-pub struct ProviderEndpointInput {
-    pub name: String,
-    pub provider_type: ProviderType,
-    pub base_url: String,
-    #[serde(default)]
-    pub api_key: Option<String>,
-    #[serde(default = "empty_object")]
-    pub custom_headers: serde_json::Value,
-    #[serde(default = "empty_object")]
-    pub extra_params: serde_json::Value,
-}
-
-#[derive(Clone, Debug, Deserialize, Serialize)]
-pub struct ProviderModelInput {
-    pub model_id: String,
-    pub display_name: String,
-    pub endpoint_type: ProviderType,
-    #[serde(default)]
-    pub request_url: String,
-    #[serde(default = "enabled")]
-    pub enabled: bool,
-    #[serde(default)]
-    pub sort_order: i64,
-    pub context_window_tokens: Option<u64>,
-    pub max_output_tokens: Option<u64>,
-    #[serde(default)]
-    pub reasoning_enabled: bool,
-    pub reasoning_effort: Option<String>,
-    #[serde(default)]
-    pub supports_image_generation: bool,
-}
-
-#[derive(Clone, Debug, Serialize)]
-pub struct ProviderModel {
-    pub model_hash: String,
-    pub provider_id: i64,
-    pub model_id: String,
-    pub display_name: String,
-    pub endpoint_type: ProviderType,
-    pub request_url: String,
-    pub enabled: bool,
-    pub sort_order: i64,
-    pub context_window_tokens: Option<u64>,
-    pub max_output_tokens: Option<u64>,
-    pub reasoning_enabled: bool,
-    pub reasoning_effort: Option<String>,
-    pub supports_image_generation: bool,
-    pub created_at_ms: i64,
-    pub updated_at_ms: i64,
-}
-
-impl ProviderModel {
-    pub fn configure(&self, model: &mut super::ModelSpec) {
-        model.display_name = Some(self.display_name.clone());
-        model.supports_image_generation = self.supports_image_generation;
-        model.reasoning.enabled |= self.reasoning_enabled;
-    }
-}
-
-pub fn normalize_base_url(value: &str) -> Result<String> {
-    let mut url = Url::parse(value.trim())
-        .map_err(|error| Error::Config(format!("invalid provider base URL: {error}")))?;
-    if url.query().is_some() || url.fragment().is_some() {
-        return Err(Error::Config(
-            "provider base URL cannot contain query or fragment".into(),
-        ));
-    }
-    let path = url.path().trim_end_matches('/').to_string();
-    url.set_path(if path.is_empty() { "/" } else { &path });
-    Ok(url.as_str().trim_end_matches('/').to_string())
-}
-
-pub fn model_hash(
-    base_url: &str,
-    api_key: &str,
-    provider_type: ProviderType,
-    model_id: &str,
-) -> Result<String> {
-    let base_url = normalize_base_url(base_url)?;
-    let model_id = model_id.trim();
-    if model_id.is_empty() {
-        return Err(Error::Config("model id cannot be empty".into()));
-    }
-    let mut digest = Sha256::new();
-    digest.update(base_url.as_bytes());
-    digest.update([0]);
-    digest.update(api_key.as_bytes());
-    digest.update([0]);
-    digest.update(provider_type.as_str().as_bytes());
-    digest.update([0]);
-    digest.update(model_id.as_bytes());
-    Ok(hex::encode(&digest.finalize()[..4]))
-}
-
-pub fn resolve_request_url(
-    base_url: &str,
-    endpoint_type: ProviderType,
-    request_url: &str,
-) -> Result<String> {
-    let base_url = normalize_base_url(base_url)?;
-    let request_url = request_url.trim();
-    let combined = if request_url.starts_with("http://") || request_url.starts_with("https://") {
-        let url = Url::parse(request_url)
-            .map_err(|error| Error::Config(format!("invalid model request URL: {error}")))?;
-        if url.host_str().is_none() {
-            return Err(Error::Config(
-                "model request URL must contain a host".into(),
-            ));
-        }
-        url.to_string()
-    } else {
-        let path = if request_url.is_empty() {
-            match endpoint_type {
-                ProviderType::OpenAiChat => "/v1/chat/completions",
-                ProviderType::OpenAiResponses => "/v1/responses",
-                ProviderType::Anthropic => "/v1/messages",
-            }
-        } else if request_url.starts_with('/') {
-            request_url
-        } else {
-            return Err(Error::Config(
-                "model request URL must be an HTTP(S) URL or start with /".into(),
-            ));
-        };
-        format!("{}{}", base_url.trim_end_matches('/'), path)
-    };
-    let mut normalized = combined;
-    while normalized.contains("/v1/v1") {
-        normalized = normalized.replace("/v1/v1", "/v1");
-    }
-    Ok(normalized)
-}
-
-pub fn is_sensitive_header(name: &str) -> bool {
-    matches!(
-        name.to_ascii_lowercase().as_str(),
-        "authorization" | "proxy-authorization" | "x-api-key" | "api-key" | "cookie" | "set-cookie"
-    )
-}
-
-fn empty_object() -> serde_json::Value {
-    serde_json::json!({})
-}
-
-fn enabled() -> bool {
-    true
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn hash_uses_normalized_url_key_type_and_model() {
-        let first = model_hash(
-            "HTTPS://Example.COM/v1/",
-            "secret",
-            ProviderType::OpenAiChat,
-            "model-a",
-        )
-        .unwrap();
-        let second = model_hash(
-            "https://example.com/v1",
-            "secret",
-            ProviderType::OpenAiChat,
-            "model-a",
-        )
-        .unwrap();
-        assert_eq!(first, second);
-        assert_ne!(
-            first,
-            model_hash(
-                "https://example.com/v1",
-                "different-secret",
-                ProviderType::OpenAiChat,
-                "model-a",
-            )
-            .unwrap()
-        );
-        assert_ne!(
-            first,
-            model_hash(
-                "https://example.com/v1",
-                "secret",
-                ProviderType::Anthropic,
-                "model-a",
-            )
-            .unwrap()
-        );
-    }
-
-    #[test]
-    fn provider_type_json_uses_public_identifiers() {
-        for (value, provider_type) in [
-            ("openai-chat", ProviderType::OpenAiChat),
-            ("openai-responses", ProviderType::OpenAiResponses),
-            ("anthropic", ProviderType::Anthropic),
-        ] {
-            assert_eq!(
-                serde_json::from_str::<ProviderType>(&format!("\"{value}\"")).unwrap(),
-                provider_type
-            );
-            assert_eq!(
-                serde_json::to_string(&provider_type).unwrap(),
-                format!("\"{value}\"")
-            );
-        }
-    }
-
-    #[test]
-    fn resolves_default_relative_and_absolute_model_urls() {
-        assert_eq!(
-            resolve_request_url("https://example.com/v1", ProviderType::OpenAiChat, "").unwrap(),
-            "https://example.com/v1/chat/completions"
-        );
-        assert_eq!(
-            resolve_request_url("https://example.com/v1", ProviderType::OpenAiResponses, "")
-                .unwrap(),
-            "https://example.com/v1/responses"
-        );
-        assert_eq!(
-            resolve_request_url("https://example.com", ProviderType::Anthropic, "").unwrap(),
-            "https://example.com/v1/messages"
-        );
-        assert_eq!(
-            resolve_request_url(
-                "https://example.com",
-                ProviderType::OpenAiChat,
-                "/v2/chat/completions"
-            )
-            .unwrap(),
-            "https://example.com/v2/chat/completions"
-        );
-        assert_eq!(
-            resolve_request_url(
-                "https://example.com/v1",
-                ProviderType::OpenAiChat,
-                "https://gateway.example/v1/v1/custom"
-            )
-            .unwrap(),
-            "https://gateway.example/v1/custom"
-        );
-    }
-
-    #[test]
-    fn requested_runtime_limits_are_not_overridden_by_provider_config() {
-        let provider = ProviderModel {
-            model_hash: "12345678".into(),
-            provider_id: 1,
-            model_id: "model".into(),
-            display_name: "Model".into(),
-            endpoint_type: ProviderType::OpenAiResponses,
-            request_url: String::new(),
-            enabled: true,
-            sort_order: 0,
-            context_window_tokens: Some(200_000),
-            max_output_tokens: None,
-            reasoning_enabled: false,
-            reasoning_effort: None,
-            supports_image_generation: false,
-            created_at_ms: 0,
-            updated_at_ms: 0,
-        };
-        let mut selected = super::super::ModelSpec::new("12345678");
-        selected.context_window_tokens = Some(800_000);
-        provider.configure(&mut selected);
-        assert_eq!(selected.context_window_tokens, Some(800_000));
-
-        let mut defaulted = super::super::ModelSpec::new("12345678");
-        provider.configure(&mut defaulted);
-        assert_eq!(defaulted.context_window_tokens, None);
-    }
-}
@@ -48,6 +48,7 @@ pub struct RecoveredToolRound {
 #[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
 pub struct PreparedRun {
    pub run_id: RunId,
+    pub cursor_request_id: Option<String>,
    pub conversation_id: ConversationId,
    pub kind: RunKind,
    pub model: ModelSpec,
@@ -2,6 +2,8 @@ use std::ops::AddAssign;

 use serde::{Deserialize, Serialize};

+use super::ProviderType;
+
 #[derive(Clone, Copy, Debug, Default, Serialize, Deserialize, PartialEq, Eq)]
 pub struct Usage {
    pub input_tokens: Option<u64>,
@@ -12,6 +14,19 @@ pub struct Usage {
    pub reasoning_tokens: Option<u64>,
 }

+impl Usage {
+    /// Returns the provider-visible input context without counting cached tokens twice.
+    pub(crate) fn context_input_tokens(self, provider: ProviderType) -> Option<u64> {
+        let input = self.input_tokens?;
+        match provider {
+            ProviderType::OpenAiChat | ProviderType::OpenAiResponses => Some(input),
+            ProviderType::Anthropic => input
+                .checked_add(self.cache_read_tokens.unwrap_or_default())?
+                .checked_add(self.cache_write_tokens.unwrap_or_default()),
+        }
+    }
+}
+
 impl AddAssign for Usage {
    fn add_assign(&mut self, rhs: Self) {
        self.input_tokens = sum(self.input_tokens, rhs.input_tokens);
@@ -30,6 +45,41 @@ fn sum(left: Option<u64>, right: Option<u64>) -> Option<u64> {
 #[cfg(test)]
 mod tests {
    use super::Usage;
+    use crate::model::ProviderType;
+
+    #[test]
+    fn openai_context_input_does_not_double_count_cached_tokens() {
+        let usage = Usage {
+            input_tokens: Some(140_649),
+            cache_read_tokens: Some(120_000),
+            cache_write_tokens: Some(10_000),
+            ..Usage::default()
+        };
+
+        assert_eq!(
+            usage.context_input_tokens(ProviderType::OpenAiResponses),
+            Some(140_649)
+        );
+        assert_eq!(
+            usage.context_input_tokens(ProviderType::OpenAiChat),
+            Some(140_649)
+        );
+    }
+
+    #[test]
+    fn anthropic_context_input_includes_disjoint_cache_tokens() {
+        let usage = Usage {
+            input_tokens: Some(10_649),
+            cache_read_tokens: Some(120_000),
+            cache_write_tokens: Some(10_000),
+            ..Usage::default()
+        };
+
+        assert_eq!(
+            usage.context_input_tokens(ProviderType::Anthropic),
+            Some(140_649)
+        );
+    }

    #[test]
    fn turn_total_only_reports_fields_known_for_every_cycle() {
@@ -1,5 +1,6 @@
 mod anthropic;
 mod event;
+mod normalize;
 mod openai_chat;
 mod openai_responses;
 mod recorder;
@@ -0,0 +1,28 @@
+use std::sync::Arc;
+
+use tokio_util::sync::CancellationToken;
+
+use crate::model::{normalize_provider_tool_call_ids, ModelInvocation};
+
+use super::{Provider, ProviderStream};
+
+pub(super) struct NormalizedProvider {
+    inner: Arc<dyn Provider>,
+}
+
+impl NormalizedProvider {
+    pub(super) fn new(inner: Arc<dyn Provider>) -> Self {
+        Self { inner }
+    }
+}
+
+impl Provider for NormalizedProvider {
+    fn stream(
+        &self,
+        mut invocation: ModelInvocation,
+        cancellation: CancellationToken,
+    ) -> ProviderStream {
+        normalize_provider_tool_call_ids(&mut invocation.request.history);
+        self.inner.stream(invocation, cancellation)
+    }
+}
@@ -6,14 +6,14 @@ use tokio_util::sync::CancellationToken;

 use crate::{
    config::{ProviderConfig, ProviderKind},
-    model::{resolve_request_url, ModelInvocation, ModelLatency, NewLlmCall, ProviderType},
+    model::{ModelInvocation, ModelLatency, NewLlmCall, ProviderType},
    store::Store,
    Error, Result,
 };

 use super::{
-    AnthropicProvider, CallRecorder, OpenAiChatProvider, OpenAiResponsesProvider, Provider,
-    ProviderStream,
+    normalize::NormalizedProvider, AnthropicProvider, CallRecorder, OpenAiChatProvider,
+    OpenAiResponsesProvider, Provider, ProviderStream,
 };

 pub struct ProviderRouter {
@@ -41,21 +41,13 @@ impl Provider for ProviderRouter {
        Box::pin(try_stream! {
            let selected = invocation.request.model.model_id.clone();
            let model = store
-                .provider_model(&selected)
+                .model(&selected)
                .await?
-                .filter(|model| model.enabled)
-                .ok_or_else(|| Error::Provider(format!("unknown or disabled model: {selected}")))?;
-            let endpoint = store
-                .provider(model.provider_id)
-                .await?
-                .ok_or_else(|| Error::Provider(format!("provider {} no longer exists", model.provider_id)))?;
-            let request_url = resolve_request_url(
-                &endpoint.endpoint.base_url,
-                model.endpoint_type,
-                &model.request_url,
-            )?;
+                .ok_or_else(|| Error::Provider(format!("unknown model: {selected}")))?;
+            let provider_type = model.provider_type();
+            let request_url = model.request_url()?;
            model.configure(&mut invocation.request.model);
-            invocation.request.model.extra_params = endpoint.endpoint.extra_params.clone();
+            invocation.request.model.extra_params = model.extra_params().clone();
            invocation.request.model.model_id = model.model_id.clone();
            let recorder = CallRecorder::start(store.clone(), NewLlmCall {
                call_id: invocation.call_id.clone(),
@@ -63,9 +55,9 @@ impl Provider for ProviderRouter {
                conversation_id: invocation.conversation_id.clone(),
                provider_call_index: invocation.provider_call_index.min(i64::MAX as u64) as i64,
                model_hash: model.model_hash.clone(),
-                provider_type: endpoint.endpoint.provider_type,
-                provider_url: endpoint.endpoint.base_url.clone(),
-                request_type: model.endpoint_type,
+                provider_type,
+                provider_url: model.base_url.clone(),
+                request_type: provider_type,
                request_url: request_url.clone(),
                model_id: model.model_id.clone(),
                display_name: model.display_name.clone(),
@@ -76,15 +68,19 @@ impl Provider for ProviderRouter {
                detailed: false,
            }).await?;
            let config = ProviderConfig {
-                kind: match model.endpoint_type {
+                kind: match provider_type {
                    ProviderType::OpenAiChat => ProviderKind::OpenAiChat,
                    ProviderType::OpenAiResponses => ProviderKind::OpenAiResponses,
                    ProviderType::Anthropic => ProviderKind::Anthropic,
                },
                request_url,
-                api_key: endpoint.endpoint.api_key.clone().unwrap_or_default(),
-                custom_headers: custom_headers(&endpoint.custom_headers)?,
-                max_output_tokens: model.max_output_tokens,
+                api_key: model.api_key.clone(),
+                custom_headers: if model.custom_headers_enabled {
+                    custom_headers(&model.custom_headers)?
+                } else {
+                    reqwest::header::HeaderMap::new()
+                },
+                max_output_tokens: model.max_output_tokens(),
                request_timeout,
            };
            let client = crate::network::client_builder(&store)
@@ -160,7 +156,7 @@ fn build_inner(
            .timeout(config.request_timeout)
            .build()?,
    };
-    Ok(match config.kind {
+    let provider: Arc<dyn Provider> = match config.kind {
        ProviderKind::OpenAiChat => {
            Arc::new(OpenAiChatProvider::new(client, config.clone()).with_recorder(recorder))
        }
@@ -170,5 +166,6 @@ fn build_inner(
        ProviderKind::Anthropic => {
            Arc::new(AnthropicProvider::new(client, config.clone()).with_recorder(recorder))
        }
-    })
+    };
+    Ok(Arc::new(NormalizedProvider::new(provider)))
 }
@@ -175,7 +175,22 @@ impl RunEngine {
                Ok(messages) => messages,
                Err(error) => return (RunOutcome::Failed(error.into()), usage),
            };
-            if !auto_compacted && should_auto_compact(prepared, &messages) {
+            let context_anchor = if !auto_compacted && prepared.action == RunAction::Start {
+                match self
+                    .store
+                    .latest_llm_call_usage_anchor(
+                        &prepared.conversation_id,
+                        &prepared.model.model_id,
+                    )
+                    .await
+                {
+                    Ok(anchor) => anchor.and_then(ContextUsageAnchor::from_llm_call),
+                    Err(error) => return (RunOutcome::Failed(error.into()), usage),
+                }
+            } else {
+                None
+            };
+            if !auto_compacted && should_auto_compact(prepared, &messages, context_anchor) {
                auto_compacted = true;
                match self
                    .auto_compact(prepared, revision, &messages, client, cancellation)
@@ -586,7 +601,28 @@ fn auto_compaction_partition(
    (compactable, retained)
 }

-fn should_auto_compact(prepared: &PreparedRun, messages: &[CanonicalMessage]) -> bool {
+#[derive(Clone, Copy, Debug, PartialEq, Eq)]
+struct ContextUsageAnchor {
+    input_tokens: u64,
+    message_count: usize,
+    tool_count: usize,
+}
+
+impl ContextUsageAnchor {
+    fn from_llm_call(anchor: crate::model::LlmCallUsageAnchor) -> Option<Self> {
+        Some(Self {
+            input_tokens: anchor.usage.context_input_tokens(anchor.request_type)?,
+            message_count: anchor.message_count,
+            tool_count: anchor.tool_count,
+        })
+    }
+}
+
+fn should_auto_compact(
+    prepared: &PreparedRun,
+    messages: &[CanonicalMessage],
+    anchor: Option<ContextUsageAnchor>,
+) -> bool {
    if prepared.action != RunAction::Start {
        return false;
    }
@@ -598,8 +634,18 @@ fn should_auto_compact(prepared: &PreparedRun, messages: &[CanonicalMessage]) ->
    {
        return false;
    }
-    estimate_context_tokens(&prepared.prompt, messages)
-        > context_window.saturating_sub(COMPACTION_RESERVE_TOKENS)
+    let estimated_input = anchor
+        .filter(|anchor| {
+            anchor.message_count <= messages.len()
+                && anchor.tool_count == prepared.prompt.tools.len()
+        })
+        .map(|anchor| {
+            anchor
+                .input_tokens
+                .saturating_add(estimate_message_tokens(&messages[anchor.message_count..]))
+        })
+        .unwrap_or_else(|| estimate_context_tokens(&prepared.prompt, messages));
+    estimated_input > context_window.saturating_sub(COMPACTION_RESERVE_TOKENS)
 }

 fn estimate_context_tokens(
@@ -607,6 +653,15 @@ fn estimate_context_tokens(
    messages: &[CanonicalMessage],
 ) -> u64 {
    let serialized = serde_json::to_string(&(prompt, messages)).unwrap_or_default();
+    estimate_serialized_tokens(&serialized)
+}
+
+fn estimate_message_tokens(messages: &[CanonicalMessage]) -> u64 {
+    let serialized = serde_json::to_string(messages).unwrap_or_default();
+    estimate_serialized_tokens(&serialized)
+}
+
+fn estimate_serialized_tokens(serialized: &str) -> u64 {
    serialized
        .chars()
        .fold(0_u64, |units, character| {
@@ -745,11 +800,15 @@ fn failure_message(failure: &RunFailure) -> String {

 #[cfg(test)]
 mod tests {
-    use super::{auto_compaction_partition, estimate_context_tokens, hydrate_tool_images};
+    use super::{
+        auto_compaction_partition, estimate_context_tokens, hydrate_tool_images,
+        should_auto_compact, ContextUsageAnchor,
+    };
    use crate::{
        model::{
-            CanonicalMessage, ContentPart, Origin, ProjectedContent, ProjectedMessage, PromptSpec,
-            Role, ToolImageReference, ToolResultContent,
+            CanonicalMessage, ContentPart, ConversationId, ModelSpec, Origin, PreparedRun,
+            ProjectedContent, ProjectedMessage, PromptSpec, RevisionId, Role, RunAction, RunId,
+            RunKind, ToolImageReference, ToolResultContent,
        },
        store::Store,
    };
@@ -778,6 +837,84 @@ mod tests {
        assert!(estimate_context_tokens(&prompt, &long) > estimate_context_tokens(&prompt, &short));
    }

+    #[test]
+    fn real_previous_input_only_estimates_messages_added_after_the_anchor() {
+        let old_history =
+            CanonicalMessage::text("old-history", Role::User, Origin::User, "x".repeat(698_641));
+        let current_runtime = CanonicalMessage::text(
+            "runtime:current",
+            Role::User,
+            Origin::Runtime,
+            "current request",
+        );
+        let messages = vec![old_history, current_runtime.clone()];
+        let prepared = PreparedRun {
+            run_id: RunId::new("run"),
+            cursor_request_id: None,
+            conversation_id: ConversationId::new("conversation"),
+            kind: RunKind::Root,
+            model: ModelSpec {
+                context_window_tokens: Some(200_000),
+                ..ModelSpec::new("model")
+            },
+            prompt: PromptSpec {
+                instructions: "system".into(),
+                tools: Vec::new(),
+            },
+            initial_messages: vec![current_runtime],
+            action: RunAction::Start,
+            base_revision_id: RevisionId(1),
+        };
+        let anchor = ContextUsageAnchor {
+            input_tokens: 140_649,
+            message_count: 1,
+            tool_count: 0,
+        };
+
+        assert_eq!(
+            estimate_context_tokens(&prepared.prompt, &messages),
+            190_813
+        );
+        assert!(!should_auto_compact(&prepared, &messages, Some(anchor)));
+    }
+
+    #[test]
+    fn real_previous_input_compacts_after_the_new_message_crosses_the_reserve() {
+        let old_history =
+            CanonicalMessage::text("old-history", Role::User, Origin::User, "old history");
+        let current_runtime = CanonicalMessage::text(
+            "runtime:current",
+            Role::User,
+            Origin::Runtime,
+            "x".repeat(190_000),
+        );
+        let messages = vec![old_history, current_runtime.clone()];
+        let prepared = PreparedRun {
+            run_id: RunId::new("run"),
+            cursor_request_id: None,
+            conversation_id: ConversationId::new("conversation"),
+            kind: RunKind::Root,
+            model: ModelSpec {
+                context_window_tokens: Some(200_000),
+                ..ModelSpec::new("model")
+            },
+            prompt: PromptSpec {
+                instructions: "system".into(),
+                tools: Vec::new(),
+            },
+            initial_messages: vec![current_runtime],
+            action: RunAction::Start,
+            base_revision_id: RevisionId(1),
+        };
+        let anchor = ContextUsageAnchor {
+            input_tokens: 140_649,
+            message_count: 1,
+            tool_count: 0,
+        };
+
+        assert!(should_auto_compact(&prepared, &messages, Some(anchor)));
+    }
+
    #[test]
    fn auto_compaction_preserves_only_the_latest_request_context() {
        let first_context = CanonicalMessage::text(
@@ -308,7 +308,8 @@ pub async fn consume_model_cycle(
            usage,
        ));
    }
-    if matches!(finish_reason, FinishReason::ToolUse) != !calls.is_empty() {
+    let has_tool_calls = !calls.is_empty();
+    if matches!(finish_reason, FinishReason::ToolUse) != has_tool_calls {
        return Err(failure(
            RunFailure::Protocol("finish reason and tool calls disagree".into()),
            text,
@@ -0,0 +1,390 @@
+use std::{collections::HashSet, path::Path};
+
+use serde::Deserialize;
+
+use crate::{
+    model::{
+        model_hash, normalize_model_input, normalize_request_url, ModelConfigInput, ModelType,
+        OPENAI_CHAT_ENDPOINT, OPENAI_RESPONSES_ENDPOINT,
+    },
+    Error, Result,
+};
+
+use super::Store;
+
+pub struct LegacyModelImportPlan {
+    pub models: Vec<LegacyModelImportEntry>,
+}
+
+pub struct LegacyModelImportEntry {
+    pub model_hash: String,
+    pub input: ModelConfigInput,
+    pub existing: bool,
+}
+
+pub struct LegacyModelImportOutcome {
+    pub imported: usize,
+    pub skipped: usize,
+    pub total: usize,
+}
+
+#[derive(Default, Deserialize)]
+struct LegacyConfig {
+    #[serde(rename = "modelAdapters", default)]
+    model_adapters: Vec<LegacyModel>,
+}
+
+#[derive(Default, Deserialize)]
+struct LegacyModel {
+    #[serde(default)]
+    sort: i64,
+    #[serde(rename = "displayName", default)]
+    display_name: String,
+    #[serde(rename = "type", default)]
+    model_type: String,
+    #[serde(rename = "baseURL", default)]
+    base_url: String,
+    #[serde(rename = "apiKey", default)]
+    api_key: String,
+    #[serde(rename = "tooltipData", default)]
+    tooltip_data: String,
+    #[serde(rename = "modelID", default)]
+    model_id: String,
+    #[serde(rename = "reasoningEffort", default)]
+    reasoning_effort: String,
+    #[serde(rename = "openAIEndpoint", default)]
+    openai_endpoint: String,
+    #[serde(rename = "openAIExtraParamsEnabled", default)]
+    openai_extra_params_enabled: bool,
+    #[serde(rename = "openAIExtraParamsJSON", default)]
+    openai_extra_params_json: String,
+    #[serde(rename = "customHeadersEnabled", default)]
+    custom_headers_enabled: bool,
+    #[serde(rename = "customHeadersJSON", default)]
+    custom_headers_json: String,
+    #[serde(rename = "anthropicExtraParamsEnabled", default)]
+    anthropic_extra_params_enabled: bool,
+    #[serde(rename = "anthropicExtraParamsJSON", default)]
+    anthropic_extra_params_json: String,
+    #[serde(rename = "contextWindowTokens", default)]
+    context_window_tokens: u64,
+    #[serde(rename = "maxCompletionTokens", default)]
+    max_completion_tokens: u64,
+    #[serde(rename = "anthropicMaxTokens", default)]
+    anthropic_max_tokens: u64,
+    #[serde(rename = "anthropicThinkingEffort", default)]
+    anthropic_thinking_effort: String,
+    #[serde(rename = "thinkingBudgetTokens", default)]
+    thinking_budget_tokens: u64,
+}
+
+impl Store {
+    pub async fn preview_v0049_model_config(&self, path: &Path) -> Result<LegacyModelImportPlan> {
+        let inputs = load_v0049_model_config(path)?;
+        let existing = self
+            .models()
+            .await?
+            .into_iter()
+            .map(|model| model.model_hash)
+            .collect::<HashSet<_>>();
+        let mut seen = HashSet::with_capacity(inputs.len());
+        let mut models = Vec::with_capacity(inputs.len());
+        for input in inputs {
+            let input = normalize_model_input(&input)?;
+            let hash = model_hash(&input)?;
+            if seen.insert(hash.clone()) {
+                models.push(LegacyModelImportEntry {
+                    existing: existing.contains(&hash),
+                    model_hash: hash,
+                    input,
+                });
+            }
+        }
+        Ok(LegacyModelImportPlan { models })
+    }
+
+    pub async fn import_v0049_model_config(&self, path: &Path) -> Result<LegacyModelImportOutcome> {
+        let plan = self.preview_v0049_model_config(path).await?;
+        let total = plan.models.len();
+        let missing = plan
+            .models
+            .into_iter()
+            .filter(|model| !model.existing)
+            .map(|model| model.input)
+            .collect::<Vec<_>>();
+        let imported = self.create_models_if_missing(&missing).await?;
+        Ok(LegacyModelImportOutcome {
+            imported,
+            skipped: total - imported,
+            total,
+        })
+    }
+}
+
+fn load_v0049_model_config(path: &Path) -> Result<Vec<ModelConfigInput>> {
+    let raw = match std::fs::read(path) {
+        Ok(raw) => raw,
+        Err(error) if error.kind() == std::io::ErrorKind::NotFound => {
+            return Err(Error::Config(format!(
+                "v0.0.49 config not found at {}",
+                path.display()
+            )))
+        }
+        Err(error) => return Err(error.into()),
+    };
+    let legacy: LegacyConfig = serde_yaml::from_slice(&raw)
+        .map_err(|error| Error::Config(format!("invalid v0.0.49 config: {error}")))?;
+    if legacy.model_adapters.is_empty() {
+        return Err(Error::Config(
+            "v0.0.49 config contains no model adapters".into(),
+        ));
+    }
+    let models = legacy
+        .model_adapters
+        .into_iter()
+        .map(model_input)
+        .collect::<Result<Vec<_>>>()?;
+    Ok(models)
+}
+
+fn model_input(model: LegacyModel) -> Result<ModelConfigInput> {
+    let model_type = match model.model_type.trim().to_ascii_lowercase().as_str() {
+        "openai" => ModelType::OpenAi,
+        "anthropic" => ModelType::Anthropic,
+        value => {
+            return Err(Error::Config(format!(
+                "unsupported v0.0.49 model type: {value}"
+            )))
+        }
+    };
+    let (base_url, openai_endpoint, use_full_url) =
+        legacy_request_configuration(model_type, &model.base_url, &model.openai_endpoint)?;
+    Ok(ModelConfigInput {
+        sort_order: model.sort,
+        display_name: model.display_name.clone(),
+        model_type,
+        base_url,
+        use_full_url,
+        api_key: model.api_key,
+        tooltip_data: if model.tooltip_data.trim().is_empty() {
+            model.display_name
+        } else {
+            model.tooltip_data
+        },
+        model_id: model.model_id,
+        reasoning_effort: optional_string(model.reasoning_effort),
+        openai_endpoint,
+        openai_extra_params_enabled: model.openai_extra_params_enabled,
+        openai_extra_params: enabled_json_object(
+            model_type == ModelType::OpenAi && model.openai_extra_params_enabled,
+            &model.openai_extra_params_json,
+        )?,
+        custom_headers_enabled: model.custom_headers_enabled,
+        custom_headers: enabled_json_object(
+            model.custom_headers_enabled,
+            &model.custom_headers_json,
+        )?,
+        anthropic_extra_params_enabled: model.anthropic_extra_params_enabled,
+        anthropic_extra_params: enabled_json_object(
+            model_type == ModelType::Anthropic && model.anthropic_extra_params_enabled,
+            &model.anthropic_extra_params_json,
+        )?,
+        context_window_tokens: positive(model.context_window_tokens),
+        max_completion_tokens: positive(model.max_completion_tokens),
+        anthropic_max_tokens: positive(model.anthropic_max_tokens),
+        anthropic_thinking_effort: optional_string(model.anthropic_thinking_effort),
+        thinking_budget_tokens: positive(model.thinking_budget_tokens),
+    })
+}
+
+fn legacy_request_configuration(
+    model_type: ModelType,
+    base_url: &str,
+    openai_endpoint: &str,
+) -> Result<(String, String, bool)> {
+    let base_url = normalize_request_url(base_url)?;
+    match model_type {
+        ModelType::Anthropic => {
+            let use_full_url = url_path_ends_with(&base_url, "/messages");
+            Ok((base_url, String::new(), use_full_url))
+        }
+        ModelType::OpenAi => {
+            let detected = openai_protocol_from_url(&base_url);
+            let configured = match openai_endpoint.trim() {
+                "" | OPENAI_RESPONSES_ENDPOINT => OPENAI_RESPONSES_ENDPOINT,
+                OPENAI_CHAT_ENDPOINT => OPENAI_CHAT_ENDPOINT,
+                "/custom" => OPENAI_CHAT_ENDPOINT,
+                value => {
+                    return Err(Error::Config(format!(
+                        "unsupported v0.0.49 OpenAI endpoint: {value}"
+                    )))
+                }
+            };
+            let protocol = detected.unwrap_or(configured);
+            let use_full_url = detected.is_some() || openai_endpoint.trim() == "/custom";
+            Ok((base_url, protocol.into(), use_full_url))
+        }
+    }
+}
+
+fn openai_protocol_from_url(value: &str) -> Option<&'static str> {
+    let url = reqwest::Url::parse(value).ok()?;
+    let path = url.path().trim_end_matches('/');
+    if path.to_ascii_lowercase().ends_with("/responses") {
+        Some(OPENAI_RESPONSES_ENDPOINT)
+    } else if path.to_ascii_lowercase().ends_with("/chat/completions") {
+        Some(OPENAI_CHAT_ENDPOINT)
+    } else {
+        None
+    }
+}
+
+fn url_path_ends_with(value: &str, suffix: &str) -> bool {
+    reqwest::Url::parse(value).is_ok_and(|url| {
+        url.path()
+            .trim_end_matches('/')
+            .to_ascii_lowercase()
+            .ends_with(suffix)
+    })
+}
+
+fn enabled_json_object(enabled: bool, value: &str) -> Result<serde_json::Value> {
+    if enabled {
+        json_object(value)
+    } else {
+        Ok(serde_json::json!({}))
+    }
+}
+
+fn json_object(value: &str) -> Result<serde_json::Value> {
+    if value.trim().is_empty() {
+        return Ok(serde_json::json!({}));
+    }
+    let value: serde_json::Value = serde_json::from_str(value)?;
+    if value.is_object() {
+        Ok(value)
+    } else {
+        Err(Error::Config(
+            "v0.0.49 model JSON fields must be objects".into(),
+        ))
+    }
+}
+
+fn positive(value: u64) -> Option<u64> {
+    (value > 0).then_some(value)
+}
+
+fn optional_string(value: String) -> Option<String> {
+    (!value.trim().is_empty()).then_some(value)
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[tokio::test]
+    async fn manually_imports_v0049_models_as_complete_request_urls() {
+        let directory = tempfile::tempdir().unwrap();
+        let config = directory.path().join("config.yaml");
+        std::fs::write(
+            &config,
+            r#"modelAdapters:
+  - sort: 1
+    displayName: Model A
+    type: openai
+    baseURL: https://example.com/v1
+    apiKey: secret
+    tooltipData: Example model
+    modelID: model-a
+    reasoningEffort: high
+    openAIEndpoint: /v1/responses
+    openAIExtraParamsEnabled: true
+    openAIExtraParamsJSON: '{"service_tier":"priority"}'
+    customHeadersEnabled: true
+    customHeadersJSON: '{"x-client":"cursor-byok"}'
+    contextWindowTokens: 200000
+    maxCompletionTokens: 8192
+  - sort: 2
+    displayName: Custom Chat
+    type: openai
+    baseURL: https://example.com/proxy/generate?api-version=2026-01-01
+    apiKey: secret
+    modelID: model-b
+    openAIEndpoint: /custom
+    openAIExtraParamsEnabled: false
+    openAIExtraParamsJSON: not-valid-json
+  - sort: 3
+    displayName: Claude
+    type: anthropic
+    baseURL: https://example.com/anthropic
+    apiKey: secret
+    modelID: model-c
+    customHeadersEnabled: false
+    customHeadersJSON: not-valid-json
+"#,
+        )
+        .unwrap();
+        let store = Store::connect("sqlite::memory:").await.unwrap();
+
+        let preview = store.preview_v0049_model_config(&config).await.unwrap();
+        assert_eq!(preview.models.len(), 3);
+        assert!(preview.models.iter().all(|model| !model.existing));
+        store.create_model(&preview.models[0].input).await.unwrap();
+        let preview = store.preview_v0049_model_config(&config).await.unwrap();
+        assert_eq!(
+            preview.models.iter().filter(|model| model.existing).count(),
+            1
+        );
+        let first = store.import_v0049_model_config(&config).await.unwrap();
+        assert_eq!(first.imported, 2);
+        assert_eq!(first.skipped, 1);
+        assert_eq!(first.total, 3);
+        let models = store.models().await.unwrap();
+        assert_eq!(models.len(), 3);
+        assert_eq!(models[0].model_hash.len(), 16);
+        assert_eq!(models[0].base_url, "https://example.com/v1");
+        assert!(!models[0].use_full_url);
+        assert_eq!(
+            models[0].request_url().unwrap(),
+            "https://example.com/v1/responses"
+        );
+        assert_eq!(models[0].openai_extra_params["service_tier"], "priority");
+        assert_eq!(
+            models[1].base_url,
+            "https://example.com/proxy/generate?api-version=2026-01-01"
+        );
+        assert_eq!(models[1].openai_endpoint, OPENAI_CHAT_ENDPOINT);
+        assert!(models[1].use_full_url);
+        assert_eq!(models[1].openai_extra_params, serde_json::json!({}));
+        assert_eq!(
+            models[2].request_url().unwrap(),
+            "https://example.com/anthropic/v1/messages"
+        );
+        assert!(!models[2].use_full_url);
+        assert_eq!(models[2].custom_headers, serde_json::json!({}));
+        let preview = store.preview_v0049_model_config(&config).await.unwrap();
+        assert!(preview.models.iter().all(|model| model.existing));
+        let second = store.import_v0049_model_config(&config).await.unwrap();
+        assert_eq!(second.imported, 0);
+        assert_eq!(second.skipped, 3);
+        assert_eq!(second.total, 3);
+        assert_eq!(store.models().await.unwrap().len(), 3);
+    }
+
+    #[test]
+    fn v0049_anthropic_full_request_url_is_not_modified() {
+        let (request_url, endpoint, use_full_url) = legacy_request_configuration(
+            ModelType::Anthropic,
+            "https://example.com/proxy/messages?api-version=2026-01-01",
+            "",
+        )
+        .unwrap();
+
+        assert_eq!(
+            request_url,
+            "https://example.com/proxy/messages?api-version=2026-01-01"
+        );
+        assert!(endpoint.is_empty());
+        assert!(use_full_url);
+    }
+}
@@ -1,7 +1,12 @@
+use std::str::FromStr;
+
 use sqlx::Row;

 use crate::{
-    model::{LlmCallRequest, LlmCallResponseChunk, LlmCallSummary, NewLlmCall, Usage},
+    model::{
+        ConversationId, LlmCallRequest, LlmCallResponseChunk, LlmCallSummary, LlmCallUsageAnchor,
+        NewLlmCall, ProviderType, Usage,
+    },
    Result,
 };

@@ -197,6 +202,41 @@ impl Store {
            .transpose()
    }

+    pub(crate) async fn latest_llm_call_usage_anchor(
+        &self,
+        conversation_id: &ConversationId,
+        model_hash: &str,
+    ) -> Result<Option<LlmCallUsageAnchor>> {
+        let row = sqlx::query(
+            r#"SELECT request_type, usage_json, message_count, tool_count
+               FROM llm_calls
+               WHERE conversation_id = ?
+                 AND model_hash = ?
+                 AND status = 'completed'
+                 AND input_tokens IS NOT NULL
+                 AND usage_json IS NOT NULL
+               ORDER BY rowid DESC
+               LIMIT 1"#,
+        )
+        .bind(conversation_id.as_str())
+        .bind(model_hash)
+        .fetch_optional(&self.pool)
+        .await?;
+        row.map(|row| {
+            let message_count =
+                usize::try_from(row.try_get::<i64, _>("message_count")?).unwrap_or(usize::MAX);
+            let tool_count =
+                usize::try_from(row.try_get::<i64, _>("tool_count")?).unwrap_or(usize::MAX);
+            Ok(LlmCallUsageAnchor {
+                request_type: ProviderType::from_str(row.try_get("request_type")?)?,
+                usage: serde_json::from_str(row.try_get("usage_json")?)?,
+                message_count,
+                tool_count,
+            })
+        })
+        .transpose()
+    }
+
    pub async fn llm_call_request(&self, call_id: &str) -> Result<Option<LlmCallRequest>> {
        let row = sqlx::query(
            "SELECT headers_json, body_json, byte_count FROM llm_call_requests WHERE call_id = ?",
@@ -284,3 +324,96 @@ fn summary_from_row(row: sqlx::sqlite::SqliteRow) -> Result<LlmCallSummary> {
        detailed: row.try_get("detailed")?,
    })
 }
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::model::{ModelConfigInput, ModelType};
+
+    #[tokio::test]
+    async fn latest_usage_anchor_uses_the_latest_completed_call_for_the_same_conversation_and_model(
+    ) {
+        let store = Store::connect("sqlite::memory:").await.unwrap();
+        let model = store
+            .create_model(&ModelConfigInput {
+                model_id: "model".into(),
+                display_name: "Model".into(),
+                model_type: ModelType::OpenAi,
+                base_url: "https://example.com/v1/responses".into(),
+                use_full_url: true,
+                api_key: "secret".into(),
+                tooltip_data: "Model".into(),
+                sort_order: 0,
+                reasoning_effort: None,
+                openai_endpoint: "/v1/responses".into(),
+                openai_extra_params_enabled: false,
+                openai_extra_params: serde_json::json!({}),
+                custom_headers_enabled: false,
+                custom_headers: serde_json::json!({}),
+                anthropic_extra_params_enabled: false,
+                anthropic_extra_params: serde_json::json!({}),
+                context_window_tokens: Some(200_000),
+                max_completion_tokens: Some(16_000),
+                anthropic_max_tokens: None,
+                anthropic_thinking_effort: None,
+                thinking_budget_tokens: None,
+            })
+            .await
+            .unwrap();
+        let conversation_id = ConversationId::new("conversation");
+
+        for (call_id, status, input_tokens, message_count) in [
+            ("completed-old", "completed", 120_000, 10),
+            ("failed-newer", "error", 180_000, 11),
+            ("completed-latest", "completed", 140_649, 12),
+        ] {
+            store
+                .start_llm_call(&NewLlmCall {
+                    call_id: call_id.into(),
+                    run_id: format!("run-{call_id}"),
+                    conversation_id: conversation_id.to_string(),
+                    provider_call_index: 0,
+                    model_hash: model.model_hash.clone(),
+                    provider_type: model.provider_type(),
+                    provider_url: model.base_url.clone(),
+                    request_type: model.provider_type(),
+                    request_url: model.request_url().unwrap(),
+                    model_id: model.model_id.clone(),
+                    display_name: model.display_name.clone(),
+                    reasoning_effort: None,
+                    fast: false,
+                    message_count,
+                    tool_count: 7,
+                    detailed: false,
+                })
+                .await
+                .unwrap();
+            store
+                .record_llm_usage(
+                    call_id,
+                    Usage {
+                        input_tokens: Some(input_tokens),
+                        cache_read_tokens: Some(100_000),
+                        ..Usage::default()
+                    },
+                )
+                .await
+                .unwrap();
+            store
+                .finish_llm_call(call_id, status, None, 1, None, None)
+                .await
+                .unwrap();
+        }
+
+        let anchor = store
+            .latest_llm_call_usage_anchor(&conversation_id, &model.model_hash)
+            .await
+            .unwrap()
+            .unwrap();
+
+        assert_eq!(anchor.request_type, ProviderType::OpenAiResponses);
+        assert_eq!(anchor.usage.input_tokens, Some(140_649));
+        assert_eq!(anchor.message_count, 12);
+        assert_eq!(anchor.tool_count, 7);
+    }
+}
@@ -2,10 +2,11 @@ mod cas;
 mod conversations;
 mod cursor_traces;
 mod input_anchors;
+mod legacy_config;
 mod llm_calls;
 mod messages;
+mod models;
 mod overview;
-mod providers;
 mod revisions;
 mod runs;
 mod settings;
@@ -0,0 +1,416 @@
+use std::{collections::HashSet, str::FromStr};
+
+use sqlx::{Row, Sqlite, Transaction};
+
+use crate::{
+    model::{model_hash, normalize_model_input, ModelConfig, ModelConfigInput, ModelType},
+    Error, Result,
+};
+
+use super::{now_ms, Store};
+
+const MODEL_COLUMNS: &str = r#"
+    model_hash, sort_order, display_name, model_type, base_url, use_full_url, api_key, tooltip_data,
+    model_id, reasoning_effort, openai_endpoint, openai_extra_params_enabled,
+    openai_extra_params_json, custom_headers_enabled, custom_headers_json,
+    anthropic_extra_params_enabled, anthropic_extra_params_json, context_window_tokens,
+    max_completion_tokens, anthropic_max_tokens, anthropic_thinking_effort,
+    thinking_budget_tokens, created_at_ms, updated_at_ms
+"#;
+
+impl Store {
+    pub async fn models(&self) -> Result<Vec<ModelConfig>> {
+        let query =
+            format!("SELECT {MODEL_COLUMNS} FROM model_configs ORDER BY sort_order, display_name");
+        sqlx::query(&query)
+            .fetch_all(&self.pool)
+            .await?
+            .into_iter()
+            .map(model_from_row)
+            .collect()
+    }
+
+    pub async fn model(&self, hash: &str) -> Result<Option<ModelConfig>> {
+        let query = format!("SELECT {MODEL_COLUMNS} FROM model_configs WHERE model_hash = ?");
+        sqlx::query(&query)
+            .bind(hash)
+            .fetch_optional(&self.pool)
+            .await?
+            .map(model_from_row)
+            .transpose()
+    }
+
+    pub async fn create_model(&self, input: &ModelConfigInput) -> Result<ModelConfig> {
+        let mut models = self.create_models(std::slice::from_ref(input)).await?;
+        Ok(models.remove(0))
+    }
+
+    pub async fn create_models(&self, inputs: &[ModelConfigInput]) -> Result<Vec<ModelConfig>> {
+        if inputs.is_empty() {
+            return Err(Error::Config("at least one model is required".into()));
+        }
+        let mut normalized = Vec::with_capacity(inputs.len());
+        let mut hashes = HashSet::with_capacity(inputs.len());
+        for input in inputs {
+            let input = normalize_model_input(input)?;
+            let hash = model_hash(&input)?;
+            if !hashes.insert(hash.clone()) {
+                return Err(Error::Config("model configurations must be unique".into()));
+            }
+            normalized.push((hash, input));
+        }
+        let now = now_ms();
+        let mut transaction = self.pool.begin().await?;
+        for (hash, input) in &normalized {
+            insert_model(&mut transaction, hash, input, now).await?;
+        }
+        transaction.commit().await?;
+
+        let mut saved = Vec::with_capacity(normalized.len());
+        for (hash, _) in normalized {
+            saved.push(self.model(&hash).await?.expect("inserted model must exist"));
+        }
+        Ok(saved)
+    }
+
+    pub(super) async fn create_models_if_missing(
+        &self,
+        inputs: &[ModelConfigInput],
+    ) -> Result<usize> {
+        let mut normalized = Vec::with_capacity(inputs.len());
+        let mut hashes = HashSet::with_capacity(inputs.len());
+        for input in inputs {
+            let input = normalize_model_input(input)?;
+            let hash = model_hash(&input)?;
+            if hashes.insert(hash.clone()) {
+                normalized.push((hash, input));
+            }
+        }
+        let now = now_ms();
+        let mut transaction = self.pool.begin().await?;
+        let mut inserted = 0;
+        for (hash, input) in &normalized {
+            inserted += usize::from(
+                insert_model_with_conflict(&mut transaction, hash, input, now, true).await?,
+            );
+        }
+        transaction.commit().await?;
+        Ok(inserted)
+    }
+
+    pub async fn update_model(
+        &self,
+        current_hash: &str,
+        input: &ModelConfigInput,
+    ) -> Result<ModelConfig> {
+        let current = self
+            .model(current_hash)
+            .await?
+            .ok_or_else(|| Error::RunNotFound(format!("model {current_hash}")))?;
+        let input = normalize_model_input(input)?;
+        let next_hash = model_hash(&input)?;
+        let now = now_ms();
+        let mut transaction = self.pool.begin().await?;
+        if next_hash != current.model_hash {
+            sqlx::query("UPDATE llm_calls SET model_hash = NULL WHERE model_hash = ?")
+                .bind(&current.model_hash)
+                .execute(&mut *transaction)
+                .await?;
+        }
+        let result = sqlx::query(
+            r#"UPDATE model_configs SET
+                model_hash = ?, sort_order = ?, display_name = ?, model_type = ?, base_url = ?,
+                use_full_url = ?, api_key = ?, tooltip_data = ?, model_id = ?, reasoning_effort = ?,
+                openai_endpoint = ?, openai_extra_params_enabled = ?, openai_extra_params_json = ?,
+                custom_headers_enabled = ?, custom_headers_json = ?,
+                anthropic_extra_params_enabled = ?, anthropic_extra_params_json = ?,
+                context_window_tokens = ?, max_completion_tokens = ?, anthropic_max_tokens = ?,
+                anthropic_thinking_effort = ?, thinking_budget_tokens = ?, updated_at_ms = ?
+            WHERE model_hash = ?"#,
+        )
+        .bind(&next_hash)
+        .bind(input.sort_order)
+        .bind(&input.display_name)
+        .bind(input.model_type.as_str())
+        .bind(&input.base_url)
+        .bind(input.use_full_url)
+        .bind(&input.api_key)
+        .bind(&input.tooltip_data)
+        .bind(&input.model_id)
+        .bind(&input.reasoning_effort)
+        .bind(&input.openai_endpoint)
+        .bind(input.openai_extra_params_enabled)
+        .bind(serde_json::to_string(&input.openai_extra_params)?)
+        .bind(input.custom_headers_enabled)
+        .bind(serde_json::to_string(&input.custom_headers)?)
+        .bind(input.anthropic_extra_params_enabled)
+        .bind(serde_json::to_string(&input.anthropic_extra_params)?)
+        .bind(input.context_window_tokens.map(to_i64).transpose()?)
+        .bind(input.max_completion_tokens.map(to_i64).transpose()?)
+        .bind(input.anthropic_max_tokens.map(to_i64).transpose()?)
+        .bind(&input.anthropic_thinking_effort)
+        .bind(input.thinking_budget_tokens.map(to_i64).transpose()?)
+        .bind(now)
+        .bind(current_hash)
+        .execute(&mut *transaction)
+        .await?;
+        if result.rows_affected() != 1 {
+            return Err(Error::RunNotFound(format!("model {current_hash}")));
+        }
+        transaction.commit().await?;
+        Ok(self
+            .model(&next_hash)
+            .await?
+            .expect("updated model must exist"))
+    }
+
+    pub async fn delete_model(&self, hash: &str) -> Result<()> {
+        let mut transaction = self.pool.begin().await?;
+        sqlx::query("UPDATE llm_calls SET model_hash = NULL WHERE model_hash = ?")
+            .bind(hash)
+            .execute(&mut *transaction)
+            .await?;
+        let result = sqlx::query("DELETE FROM model_configs WHERE model_hash = ?")
+            .bind(hash)
+            .execute(&mut *transaction)
+            .await?;
+        if result.rows_affected() != 1 {
+            return Err(Error::RunNotFound(format!("model {hash}")));
+        }
+        transaction.commit().await?;
+        Ok(())
+    }
+
+    pub async fn reorder_models(&self, model_hashes: &[String]) -> Result<Vec<ModelConfig>> {
+        let current = self.models().await?;
+        let current_hashes = current
+            .iter()
+            .map(|model| model.model_hash.as_str())
+            .collect::<HashSet<_>>();
+        let requested_hashes = model_hashes
+            .iter()
+            .map(String::as_str)
+            .collect::<HashSet<_>>();
+        if model_hashes.len() != current.len()
+            || requested_hashes.len() != current.len()
+            || requested_hashes != current_hashes
+        {
+            return Err(Error::Config(
+                "model configuration changed; refresh and try sorting again".into(),
+            ));
+        }
+
+        let now = now_ms();
+        let mut transaction = self.pool.begin().await?;
+        for (index, hash) in model_hashes.iter().enumerate() {
+            sqlx::query(
+                "UPDATE model_configs SET sort_order = ?, updated_at_ms = ? WHERE model_hash = ?",
+            )
+            .bind(i64::try_from(index + 1).expect("model order fits in i64"))
+            .bind(now)
+            .bind(hash)
+            .execute(&mut *transaction)
+            .await?;
+        }
+        transaction.commit().await?;
+        self.models().await
+    }
+}
+
+async fn insert_model(
+    transaction: &mut Transaction<'_, Sqlite>,
+    hash: &str,
+    input: &ModelConfigInput,
+    now: i64,
+) -> Result<()> {
+    insert_model_with_conflict(transaction, hash, input, now, false).await?;
+    Ok(())
+}
+
+async fn insert_model_with_conflict(
+    transaction: &mut Transaction<'_, Sqlite>,
+    hash: &str,
+    input: &ModelConfigInput,
+    now: i64,
+    ignore_existing: bool,
+) -> Result<bool> {
+    let mut statement = String::from(
+        r#"INSERT INTO model_configs(
+            model_hash, sort_order, display_name, model_type, base_url, use_full_url, api_key, tooltip_data,
+            model_id, reasoning_effort, openai_endpoint, openai_extra_params_enabled,
+            openai_extra_params_json, custom_headers_enabled, custom_headers_json,
+            anthropic_extra_params_enabled, anthropic_extra_params_json, context_window_tokens,
+            max_completion_tokens, anthropic_max_tokens, anthropic_thinking_effort,
+            thinking_budget_tokens, created_at_ms, updated_at_ms
+        ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)"#,
+    );
+    if ignore_existing {
+        statement.push_str(" ON CONFLICT(model_hash) DO NOTHING");
+    }
+    let result = sqlx::query(&statement)
+        .bind(hash)
+        .bind(input.sort_order)
+        .bind(&input.display_name)
+        .bind(input.model_type.as_str())
+        .bind(&input.base_url)
+        .bind(input.use_full_url)
+        .bind(&input.api_key)
+        .bind(&input.tooltip_data)
+        .bind(&input.model_id)
+        .bind(&input.reasoning_effort)
+        .bind(&input.openai_endpoint)
+        .bind(input.openai_extra_params_enabled)
+        .bind(serde_json::to_string(&input.openai_extra_params)?)
+        .bind(input.custom_headers_enabled)
+        .bind(serde_json::to_string(&input.custom_headers)?)
+        .bind(input.anthropic_extra_params_enabled)
+        .bind(serde_json::to_string(&input.anthropic_extra_params)?)
+        .bind(input.context_window_tokens.map(to_i64).transpose()?)
+        .bind(input.max_completion_tokens.map(to_i64).transpose()?)
+        .bind(input.anthropic_max_tokens.map(to_i64).transpose()?)
+        .bind(&input.anthropic_thinking_effort)
+        .bind(input.thinking_budget_tokens.map(to_i64).transpose()?)
+        .bind(now)
+        .bind(now)
+        .execute(&mut **transaction)
+        .await?;
+    Ok(result.rows_affected() == 1)
+}
+
+fn model_from_row(row: sqlx::sqlite::SqliteRow) -> Result<ModelConfig> {
+    Ok(ModelConfig {
+        model_hash: row.try_get("model_hash")?,
+        sort_order: row.try_get("sort_order")?,
+        display_name: row.try_get("display_name")?,
+        model_type: ModelType::from_str(row.try_get("model_type")?)?,
+        base_url: row.try_get("base_url")?,
+        use_full_url: row.try_get("use_full_url")?,
+        api_key: row.try_get("api_key")?,
+        tooltip_data: row.try_get("tooltip_data")?,
+        model_id: row.try_get("model_id")?,
+        reasoning_effort: row.try_get("reasoning_effort")?,
+        openai_endpoint: row.try_get("openai_endpoint")?,
+        openai_extra_params_enabled: row.try_get("openai_extra_params_enabled")?,
+        openai_extra_params: serde_json::from_str(
+            row.try_get::<String, _>("openai_extra_params_json")?
+                .as_str(),
+        )?,
+        custom_headers_enabled: row.try_get("custom_headers_enabled")?,
+        custom_headers: serde_json::from_str(
+            row.try_get::<String, _>("custom_headers_json")?.as_str(),
+        )?,
+        anthropic_extra_params_enabled: row.try_get("anthropic_extra_params_enabled")?,
+        anthropic_extra_params: serde_json::from_str(
+            row.try_get::<String, _>("anthropic_extra_params_json")?
+                .as_str(),
+        )?,
+        context_window_tokens: optional_u64(&row, "context_window_tokens")?,
+        max_completion_tokens: optional_u64(&row, "max_completion_tokens")?,
+        anthropic_max_tokens: optional_u64(&row, "anthropic_max_tokens")?,
+        anthropic_thinking_effort: row.try_get("anthropic_thinking_effort")?,
+        thinking_budget_tokens: optional_u64(&row, "thinking_budget_tokens")?,
+        created_at_ms: row.try_get("created_at_ms")?,
+        updated_at_ms: row.try_get("updated_at_ms")?,
+    })
+}
+
+fn optional_u64(row: &sqlx::sqlite::SqliteRow, column: &str) -> Result<Option<u64>> {
+    row.try_get::<Option<i64>, _>(column)?
+        .map(|value| {
+            u64::try_from(value).map_err(|_| Error::Config(format!("{column} cannot be negative")))
+        })
+        .transpose()
+}
+
+fn to_i64(value: u64) -> Result<i64> {
+    i64::try_from(value).map_err(|_| Error::Config("token value is too large".into()))
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    fn input(name: &str) -> ModelConfigInput {
+        ModelConfigInput {
+            sort_order: 1,
+            display_name: name.into(),
+            model_type: ModelType::OpenAi,
+            base_url: "https://example.com/v1/responses".into(),
+            use_full_url: true,
+            api_key: "secret".into(),
+            tooltip_data: "Example model".into(),
+            model_id: "model-a".into(),
+            reasoning_effort: Some("high".into()),
+            openai_endpoint: "/v1/responses".into(),
+            openai_extra_params_enabled: true,
+            openai_extra_params: serde_json::json!({"service_tier":"priority"}),
+            custom_headers_enabled: true,
+            custom_headers: serde_json::json!({"x-client":"cursor-byok"}),
+            anthropic_extra_params_enabled: false,
+            anthropic_extra_params: serde_json::json!({}),
+            context_window_tokens: Some(200_000),
+            max_completion_tokens: Some(8_192),
+            anthropic_max_tokens: None,
+            anthropic_thinking_effort: None,
+            thinking_budget_tokens: None,
+        }
+    }
+
+    #[tokio::test]
+    async fn model_configuration_round_trips_and_updates_identity() {
+        let store = Store::connect("sqlite::memory:").await.unwrap();
+        let created = store.create_model(&input("Model A")).await.unwrap();
+        assert_eq!(created.model_hash.len(), 16);
+        assert_eq!(created.custom_headers["x-client"], "cursor-byok");
+        assert_eq!(store.models().await.unwrap().len(), 1);
+
+        let updated = store
+            .update_model(&created.model_hash, &input("Renamed"))
+            .await
+            .unwrap();
+        assert_ne!(updated.model_hash, created.model_hash);
+        assert!(store.model(&created.model_hash).await.unwrap().is_none());
+
+        store.delete_model(&updated.model_hash).await.unwrap();
+        assert!(store.models().await.unwrap().is_empty());
+    }
+
+    #[tokio::test]
+    async fn batch_creation_is_atomic() {
+        let store = Store::connect("sqlite::memory:").await.unwrap();
+        let duplicate = input("Model A");
+        assert!(store
+            .create_models(&[duplicate.clone(), duplicate])
+            .await
+            .is_err());
+        assert!(store.models().await.unwrap().is_empty());
+    }
+
+    #[tokio::test]
+    async fn model_order_is_replaced_atomically() {
+        let store = Store::connect("sqlite::memory:").await.unwrap();
+        let first = store.create_model(&input("First")).await.unwrap();
+        let mut second_input = input("Second");
+        second_input.model_id = "model-b".into();
+        second_input.sort_order = 2;
+        let second = store.create_model(&second_input).await.unwrap();
+
+        let reordered = store
+            .reorder_models(&[second.model_hash.clone(), first.model_hash.clone()])
+            .await
+            .unwrap();
+        assert_eq!(reordered[0].model_hash, second.model_hash);
+        assert_eq!(reordered[0].sort_order, 1);
+        assert_eq!(reordered[1].model_hash, first.model_hash);
+        assert_eq!(reordered[1].sort_order, 2);
+
+        assert!(store
+            .reorder_models(std::slice::from_ref(&first.model_hash))
+            .await
+            .is_err());
+        assert_eq!(
+            store.models().await.unwrap()[0].model_hash,
+            second.model_hash
+        );
+    }
+}
@@ -24,7 +24,6 @@ impl Store {
        start_ms: Option<i64>,
        end_ms: Option<i64>,
        model_hashes: Option<&str>,
-        provider_ids: Option<&str>,
    ) -> Result<Overview> {
        let call_row = sqlx::query(
            "SELECT
@@ -35,11 +34,7 @@ impl Store {
             WHERE status != 'running'
               AND (? IS NULL OR created_at_ms >= ?)
               AND (? IS NULL OR created_at_ms < ?)
-               AND (? IS NULL OR model_hash IN (SELECT value FROM json_each(?)))
-               AND (? IS NULL OR model_hash IN (
-                 SELECT model_hash FROM provider_models
-                 WHERE provider_id IN (SELECT value FROM json_each(?))
-               ))",
+               AND (? IS NULL OR model_hash IN (SELECT value FROM json_each(?)))",
        )
        .bind(start_ms)
        .bind(start_ms)
@@ -47,8 +42,6 @@ impl Store {
        .bind(end_ms)
        .bind(model_hashes)
        .bind(model_hashes)
-        .bind(provider_ids)
-        .bind(provider_ids)
        .fetch_one(&self.pool)
        .await?;
        let token_row = sqlx::query(&format!(
@@ -60,11 +53,7 @@ impl Store {
             FROM llm_calls
             WHERE (? IS NULL OR created_at_ms >= ?)
               AND (? IS NULL OR created_at_ms < ?)
-               AND (? IS NULL OR model_hash IN (SELECT value FROM json_each(?)))
-               AND (? IS NULL OR model_hash IN (
-                 SELECT model_hash FROM provider_models
-                 WHERE provider_id IN (SELECT value FROM json_each(?))
-               ))",
+               AND (? IS NULL OR model_hash IN (SELECT value FROM json_each(?)))",
            fresh_input = fresh_input_sql(),
        ))
        .bind(start_ms)
@@ -73,8 +62,6 @@ impl Store {
        .bind(end_ms)
        .bind(model_hashes)
        .bind(model_hashes)
-        .bind(provider_ids)
-        .bind(provider_ids)
        .fetch_one(&self.pool)
        .await?;

@@ -108,10 +95,6 @@ impl Store {
             WHERE created_at_ms >= ?
               AND (? IS NULL OR created_at_ms < ?)
               AND (? IS NULL OR model_hash IN (SELECT value FROM json_each(?)))
-               AND (? IS NULL OR model_hash IN (
-                 SELECT model_hash FROM provider_models
-                 WHERE provider_id IN (SELECT value FROM json_each(?))
-               ))
             GROUP BY bucket_start_ms
             ORDER BY bucket_start_ms",
            fresh_input = fresh_input_sql(),
@@ -121,8 +104,6 @@ impl Store {
        .bind(end_ms)
        .bind(model_hashes)
        .bind(model_hashes)
-        .bind(provider_ids)
-        .bind(provider_ids)
        .fetch_all(&self.pool)
        .await?;
        let mut recorded = rows
@@ -239,7 +220,7 @@ mod tests {
    }

    #[tokio::test]
-    async fn overview_aggregates_llm_calls_and_normalizes_provider_usage() {
+    async fn overview_aggregates_llm_calls_and_normalizes_token_usage() {
        let directory = tempfile::tempdir().unwrap();
        let store = Store::connect(&format!(
            "sqlite://{}",
@@ -263,7 +244,7 @@ mod tests {
        )
        .await;

-        let overview = store.overview(None, None, None, None).await.unwrap();
+        let overview = store.overview(None, None, None).await.unwrap();
        assert_eq!(overview.metrics.llm_calls, 3);
        assert_eq!(overview.metrics.successful_calls, 2);
        assert_eq!(overview.metrics.failed_calls, 1);
@@ -304,7 +285,7 @@ mod tests {
        .await;

        let overview = store
-            .overview(Some(now - 1_000), Some(now + 1_000), None, None)
+            .overview(Some(now - 1_000), Some(now + 1_000), None)
            .await
            .unwrap();

@@ -325,7 +306,6 @@ mod tests {
                Some(now - 1_000),
                Some(now + 1_000),
                Some(r#"["missing-model"]"#),
-                None,
            )
            .await
            .unwrap();
@@ -88,12 +88,13 @@ impl Store {
            run_kind_columns(&prepared.kind);
        sqlx::query(
            "INSERT INTO runs
-             (run_id, conversation_id, base_revision_id, head_revision_id,
+             (run_id, cursor_request_id, conversation_id, base_revision_id, head_revision_id,
              parent_run_id, parent_tool_call_id, run_kind, subagent_kind,
              status, created_at_ms, updated_at_ms)
-             VALUES (?, ?, ?, ?, ?, ?, ?, ?, 'running', ?, ?)",
+             VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, 'running', ?, ?)",
        )
        .bind(prepared.run_id.as_str())
+        .bind(prepared.cursor_request_id.as_deref())
        .bind(prepared.conversation_id.as_str())
        .bind(prepared.base_revision_id.0)
        .bind(prepared.base_revision_id.0)
@@ -128,6 +129,22 @@ impl Store {
        })
    }

+    pub async fn active_run_for_cursor_request(
+        &self,
+        cursor_request_id: &str,
+    ) -> Result<Option<RunId>> {
+        let run_id: Option<String> = sqlx::query_scalar(
+            "SELECT run_id FROM runs
+             WHERE cursor_request_id = ? AND status = 'running'
+             ORDER BY created_at_ms DESC
+             LIMIT 1",
+        )
+        .bind(cursor_request_id)
+        .fetch_optional(&self.pool)
+        .await?;
+        Ok(run_id.map(RunId))
+    }
+
    pub async fn begin_provider_call(&self, run_id: &RunId) -> Result<u64> {
        let index: Option<i64> = sqlx::query_scalar(
            "UPDATE runs SET provider_call_index = provider_call_index + 1, updated_at_ms = ?
@@ -8,6 +8,7 @@ const PORT_SETTINGS_KEY: &str = "network_ports";
 const PROXY_SETTINGS_KEY: &str = "outbound_proxy";
 const TAB_SETTINGS_KEY: &str = "cursor_tab";
 const INSTALLATION_ID_KEY: &str = "installation_id";
+const DESKTOP_SETTINGS_KEY: &str = "desktop_lifecycle";

 pub const PUBLIC_TAB_SERVICE_URL: &str = "https://tab.leokun.cn";

@@ -46,6 +47,12 @@ pub struct TabSettings {
    pub address: String,
 }

+#[derive(Clone, Copy, Debug, Default, Deserialize, PartialEq, Eq, Serialize)]
+pub struct DesktopSettings {
+    #[serde(default)]
+    pub silent_start: bool,
+}
+
 impl TabSettings {
    pub fn service_url(&self) -> Option<&str> {
        match self.mode {
@@ -243,6 +250,30 @@ impl Store {
        settings.proxy_port = port;
        self.set_port_settings(settings).await
    }
+
+    pub async fn desktop_settings(&self) -> Result<DesktopSettings> {
+        let value = sqlx::query_scalar::<_, String>(
+            "SELECT value_json FROM service_settings WHERE setting_key = ?",
+        )
+        .bind(DESKTOP_SETTINGS_KEY)
+        .fetch_optional(&self.pool)
+        .await?;
+        value
+            .map(|value| serde_json::from_str(&value).map_err(Into::into))
+            .unwrap_or_else(|| Ok(DesktopSettings::default()))
+    }
+
+    pub async fn set_desktop_settings(&self, settings: DesktopSettings) -> Result<()> {
+        sqlx::query(
+            "INSERT INTO service_settings(setting_key, value_json, updated_at_ms) VALUES (?, ?, ?) ON CONFLICT(setting_key) DO UPDATE SET value_json = excluded.value_json, updated_at_ms = excluded.updated_at_ms",
+        )
+        .bind(DESKTOP_SETTINGS_KEY)
+        .bind(serde_json::to_string(&settings)?)
+        .bind(now_ms())
+        .execute(&self.pool)
+        .await?;
+        Ok(())
+    }
 }

 #[cfg(test)]
@@ -69,12 +69,37 @@ impl Store {
 #[cfg(test)]
 mod tests {
    use super::*;
+    use crate::model::{ModelConfigInput, ModelType, OPENAI_CHAT_ENDPOINT};

    #[tokio::test]
    async fn clears_observability_without_removing_configuration() {
        let store = Store::connect("sqlite::memory:").await.unwrap();
-        sqlx::query("INSERT INTO provider_endpoints(name, provider_type, base_url, api_key, created_at_ms, updated_at_ms) VALUES ('Example', 'openai-chat', 'https://example.com', 'secret', 1, 1)")
-            .execute(store.pool()).await.unwrap();
+        store
+            .create_model(&ModelConfigInput {
+                sort_order: 0,
+                display_name: "Model".into(),
+                model_type: ModelType::OpenAi,
+                base_url: "https://example.com/v1/chat/completions".into(),
+                use_full_url: true,
+                api_key: "secret".into(),
+                tooltip_data: "Model".into(),
+                model_id: "model".into(),
+                reasoning_effort: None,
+                openai_endpoint: OPENAI_CHAT_ENDPOINT.into(),
+                openai_extra_params_enabled: false,
+                openai_extra_params: serde_json::json!({}),
+                custom_headers_enabled: false,
+                custom_headers: serde_json::json!({}),
+                anthropic_extra_params_enabled: false,
+                anthropic_extra_params: serde_json::json!({}),
+                context_window_tokens: None,
+                max_completion_tokens: None,
+                anthropic_max_tokens: None,
+                anthropic_thinking_effort: None,
+                thinking_budget_tokens: None,
+            })
+            .await
+            .unwrap();
        sqlx::query("INSERT INTO llm_calls(call_id, run_id, conversation_id, provider_call_index, provider_type, provider_url, request_type, request_url, model_id, display_name, status, created_at_ms, message_count, tool_count, detailed) VALUES ('call-1', 'run-1', 'conversation-1', 0, 'openai-chat', 'https://example.com', 'openai-chat', 'https://example.com/v1/chat/completions', 'model', 'Model', 'completed', 1, 1, 0, 0)")
            .execute(store.pool()).await.unwrap();

@@ -82,11 +107,11 @@ mod tests {
        let cleared = store.clear_statistics_storage().await.unwrap();
        assert_eq!(cleared.bytes, 0);
        assert_eq!(cleared.call_count, 0);
-        let provider_count: i64 = sqlx::query_scalar("SELECT COUNT(*) FROM provider_endpoints")
+        let model_count: i64 = sqlx::query_scalar("SELECT COUNT(*) FROM model_configs")
            .fetch_one(store.pool())
            .await
            .unwrap();
-        assert_eq!(provider_count, 1);
+        assert_eq!(model_count, 1);

        store
            .record_llm_request(
@@ -75,7 +75,8 @@ async fn background_subagent_completion_starts_a_simulated_parent_turn() {
        .await
        .unwrap();
    assert!(messages.iter().any(|message| {
-        message.runtime_event_id.as_deref() == Some("run-request:completion-request")
+        message.runtime_event_id.as_deref()
+            == Some("background-completed:BACKGROUND_TASK_KIND_SUBAGENT:child-id")
            && matches!(&message.content, MessageContent::Parts { parts } if !parts.is_empty())
    }));

@@ -130,8 +131,8 @@ async fn background_subagent_completion_starts_a_simulated_parent_turn() {
    assert_eq!(
        runtime_ids,
        [
-            "runtime:run-request:completion-request",
-            "runtime:run-request:completion-request-2"
+            "runtime:background-completed:BACKGROUND_TASK_KIND_SUBAGENT:child-id",
+            "runtime:background-completed:BACKGROUND_TASK_KIND_SUBAGENT:child-id-2"
        ]
    );
 }
@@ -169,8 +169,16 @@ async fn eligible_pending_checkpoint_resumes_tools_before_the_next_model_call()
        1,
        "resume must execute the pending batch before calling the model"
    );
+    let resumed_run_id = store
+        .active_run_for_cursor_request("resumed-run")
+        .await
+        .unwrap()
+        .unwrap();
    let resumed_round = store
-        .tool_round(&ToolRoundId::new("resumed-run:round:resume"))
+        .tool_round(&ToolRoundId::new(format!(
+            "{}:round:resume",
+            resumed_run_id.as_str()
+        )))
        .await
        .unwrap()
        .unwrap();
@@ -200,6 +200,7 @@ async fn prepared(store: &cursor_server::store::Store) -> PreparedRun {
    let root = store.ensure_conversation(&conversation_id).await.unwrap();
    PreparedRun {
        run_id: RunId::new("run"),
+        cursor_request_id: None,
        conversation_id,
        kind: RunKind::Root,
        model: ModelSpec::new("model"),
@@ -9,8 +9,8 @@ use cursor_server::{
    cursor::prompting::{PromptAssets, PromptCompiler},
    cursor::{connect, proto::agent::v1 as pb, CursorCommand, CursorSessionRegistry},
    model::{
-        ContentPart, ConversationId, MessageContent, Origin, ProjectedContent,
-        ProviderEndpointInput, ProviderModelInput, ProviderType, Role, Usage,
+        ContentPart, ConversationId, MessageContent, ModelConfigInput, ModelType, Origin,
+        ProjectedContent, Role, Usage, OPENAI_CHAT_ENDPOINT,
    },
    provider::{FinishReason, ModelEvent},
 };
@@ -19,34 +19,30 @@ use prost::Message;
 #[tokio::test]
 async fn summarize_replaces_model_history_and_preserves_cursor_history() {
    let (_directory, store) = fixtures::temp_store().await;
-    let endpoint = store
-        .create_provider(&ProviderEndpointInput {
-            name: "Test".into(),
-            provider_type: ProviderType::OpenAiChat,
-            base_url: "https://example.com/v1".into(),
-            api_key: None,
-            custom_headers: serde_json::json!({}),
-            extra_params: serde_json::json!({}),
-        })
-        .await
-        .unwrap();
    let model = store
-        .save_provider_model(
-            endpoint.provider_id,
-            &ProviderModelInput {
-                model_id: "test-model".into(),
-                display_name: "Test Model".into(),
-                endpoint_type: ProviderType::OpenAiChat,
-                request_url: String::new(),
-                enabled: true,
-                sort_order: 0,
-                context_window_tokens: None,
-                max_output_tokens: None,
-                reasoning_enabled: false,
-                reasoning_effort: None,
-                supports_image_generation: false,
-            },
-        )
+        .create_model(&ModelConfigInput {
+            sort_order: 0,
+            display_name: "Test Model".into(),
+            model_type: ModelType::OpenAi,
+            base_url: "https://example.com/v1/chat/completions".into(),
+            use_full_url: true,
+            api_key: "test-key".into(),
+            tooltip_data: "Test Model".into(),
+            model_id: "test-model".into(),
+            reasoning_effort: None,
+            openai_endpoint: OPENAI_CHAT_ENDPOINT.into(),
+            openai_extra_params_enabled: false,
+            openai_extra_params: serde_json::json!({}),
+            custom_headers_enabled: false,
+            custom_headers: serde_json::json!({}),
+            anthropic_extra_params_enabled: false,
+            anthropic_extra_params: serde_json::json!({}),
+            context_window_tokens: None,
+            max_completion_tokens: None,
+            anthropic_max_tokens: None,
+            anthropic_thinking_effort: None,
+            thinking_budget_tokens: None,
+        })
        .await
        .unwrap();
    let provider = fake_provider::FakeProvider::default();
@@ -54,6 +54,7 @@ async fn a_replaced_run_cannot_overwrite_its_cancelled_status() {
    let base_revision_id = store.ensure_conversation(&conversation_id).await.unwrap();
    let prepared = |run_id: &str| PreparedRun {
        run_id: RunId::new(run_id),
+        cursor_request_id: None,
        conversation_id: conversation_id.clone(),
        kind: RunKind::Root,
        model: ModelSpec::new("model"),
@@ -1,7 +1,7 @@
 use cursor_server::{
    model::{
-        ConversationId, ModelSpec, NewLlmCall, PreparedRun, PromptSpec, ProviderEndpointInput,
-        ProviderModelInput, ProviderType, RunAction, RunId, RunKind, Usage,
+        ConversationId, ModelConfigInput, ModelSpec, ModelType, NewLlmCall, PreparedRun,
+        PromptSpec, ProviderType, RunAction, RunId, RunKind, Usage, OPENAI_CHAT_ENDPOINT,
    },
    store::{RunStatus, Store},
 };
@@ -13,107 +13,91 @@ async fn store() -> (tempfile::TempDir, Store) {
    (directory, store)
 }

-#[tokio::test]
-async fn provider_secret_is_write_only_and_model_hash_is_stable() {
-    let (_directory, store) = store().await;
-    let provider = store
-        .create_provider(&ProviderEndpointInput {
-            name: "Local".into(),
-            provider_type: ProviderType::OpenAiChat,
-            base_url: "https://example.com/v1/".into(),
-            api_key: Some("secret".into()),
-            custom_headers: serde_json::json!({"x-route":"one", "authorization":"header-secret"}),
-            extra_params: serde_json::json!({"temperature":0}),
-        })
-        .await
-        .unwrap();
-    assert!(provider.has_api_key);
-    assert!(!serde_json::to_string(&provider).unwrap().contains("secret"));
-    assert_eq!(
-        provider.custom_headers["authorization"],
-        serde_json::Value::Null
-    );
-    let updated = store
-        .update_provider(
-            provider.provider_id,
-            &ProviderEndpointInput {
-                name: "Renamed".into(),
-                provider_type: provider.provider_type,
-                base_url: provider.base_url.clone(),
-                api_key: None,
-                custom_headers: provider.custom_headers.clone(),
-                extra_params: provider.extra_params.clone(),
-            },
-        )
-        .await
-        .unwrap();
-    assert_eq!(updated.name, "Renamed");
-    assert_eq!(
-        store
-            .provider(provider.provider_id)
-            .await
-            .unwrap()
-            .unwrap()
-            .custom_headers["authorization"],
-        "header-secret"
-    );
+fn model_input() -> ModelConfigInput {
+    ModelConfigInput {
+        sort_order: 0,
+        display_name: "Model A".into(),
+        model_type: ModelType::OpenAi,
+        base_url: "https://example.com/v1/chat/completions".into(),
+        use_full_url: true,
+        api_key: "secret".into(),
+        tooltip_data: "Model A".into(),
+        model_id: "model-a".into(),
+        reasoning_effort: None,
+        openai_endpoint: OPENAI_CHAT_ENDPOINT.into(),
+        openai_extra_params_enabled: true,
+        openai_extra_params: serde_json::json!({"temperature":0}),
+        custom_headers_enabled: true,
+        custom_headers: serde_json::json!({"x-route":"one"}),
+        anthropic_extra_params_enabled: false,
+        anthropic_extra_params: serde_json::json!({}),
+        context_window_tokens: None,
+        max_completion_tokens: None,
+        anthropic_max_tokens: None,
+        anthropic_thinking_effort: None,
+        thinking_budget_tokens: None,
+    }
+}

-    let model = store
-        .save_provider_model(
-            provider.provider_id,
-            &ProviderModelInput {
-                model_id: "model-a".into(),
-                display_name: "Model A".into(),
-                endpoint_type: ProviderType::OpenAiChat,
-                request_url: String::new(),
-                enabled: true,
-                sort_order: 0,
-                context_window_tokens: None,
-                max_output_tokens: None,
-                reasoning_enabled: false,
-                reasoning_effort: None,
-                supports_image_generation: true,
-            },
-        )
-        .await
-        .unwrap();
-    assert_eq!(model.model_hash, "bab5019a");
-    assert!(model.supports_image_generation);
+#[tokio::test]
+async fn model_configuration_round_trips_and_hash_uses_v0049_identity() {
+    let (_directory, store) = store().await;
+    let model = store.create_model(&model_input()).await.unwrap();
+    assert_eq!(model.model_hash.len(), 16);
+    assert_eq!(model.api_key, "secret");
+    assert_eq!(model.custom_headers["x-route"], "one");
+
+    let original_hash = model.model_hash.clone();
+    let mut input = model_input();
+    input.base_url = "https://example.com/v1/chat/completions".into();
+    input.sort_order = 3;
+    input.tooltip_data = "Updated tooltip".into();
+    let updated = store.update_model(&original_hash, &input).await.unwrap();
+    assert_eq!(updated.model_hash, original_hash);
+    assert_eq!(updated.sort_order, 3);
+    assert_eq!(updated.tooltip_data, "Updated tooltip");
+}
+
+#[tokio::test]
+async fn arbitrary_request_url_is_independent_from_openai_protocol() {
+    let (_directory, store) = store().await;
+    let mut input = model_input();
+    input.base_url = "https://proxy.example.com/arbitrary/generate?api-version=2026-01-01".into();
+
+    let chat = store.create_model(&input).await.unwrap();
+    assert_eq!(chat.provider_type(), ProviderType::OpenAiChat);
+    assert_eq!(chat.request_url().unwrap(), input.base_url);
+
+    input.openai_endpoint = "/v1/responses".into();
+    let responses = store.update_model(&chat.model_hash, &input).await.unwrap();
+    assert_eq!(responses.provider_type(), ProviderType::OpenAiResponses);
+    assert_eq!(responses.request_url().unwrap(), input.base_url);
+}
+
+#[tokio::test]
+async fn standard_server_address_resolves_to_the_same_model_identity_as_a_complete_url() {
+    let (_directory, store) = store().await;
+    let complete = model_input();
+    let mut standard = complete.clone();
+    standard.base_url = "https://example.com/v1".into();
+    standard.use_full_url = false;
+
+    let model = store.create_model(&standard).await.unwrap();
+    assert!(!model.use_full_url);
+    assert_eq!(
+        model.request_url().unwrap(),
+        "https://example.com/v1/chat/completions"
+    );
+    assert_eq!(
+        model.model_hash,
+        cursor_server::model::model_hash(&complete).unwrap()
+    );
 }

 #[tokio::test]
 async fn call_summary_is_always_stored_and_payloads_follow_detailed_setting() {
    let (_directory, store) = store().await;
-    let provider = store
-        .create_provider(&ProviderEndpointInput {
-            name: "Local".into(),
-            provider_type: ProviderType::OpenAiChat,
-            base_url: "https://example.com/v1".into(),
-            api_key: None,
-            custom_headers: serde_json::json!({}),
-            extra_params: serde_json::json!({}),
-        })
-        .await
-        .unwrap();
-    let model = store
-        .save_provider_model(
-            provider.provider_id,
-            &ProviderModelInput {
-                model_id: "model-a".into(),
-                display_name: "Model A".into(),
-                endpoint_type: ProviderType::OpenAiChat,
-                request_url: String::new(),
-                enabled: true,
-                sort_order: 0,
-                context_window_tokens: None,
-                max_output_tokens: None,
-                reasoning_enabled: false,
-                reasoning_effort: None,
-                supports_image_generation: false,
-            },
-        )
-        .await
-        .unwrap();
+    let model = store.create_model(&model_input()).await.unwrap();
    let call = NewLlmCall {
        call_id: "call-1".into(),
        run_id: "run-1".into(),
@@ -121,7 +105,7 @@ async fn call_summary_is_always_stored_and_payloads_follow_detailed_setting() {
        provider_call_index: 0,
        model_hash: model.model_hash,
        provider_type: ProviderType::OpenAiChat,
-        provider_url: provider.base_url,
+        provider_url: model.base_url.clone(),
        request_type: ProviderType::OpenAiChat,
        request_url: "https://example.com/v1/chat/completions".into(),
        model_id: model.model_id,
@@ -137,6 +121,7 @@ async fn call_summary_is_always_stored_and_payloads_follow_detailed_setting() {
    store
        .claim_run(&PreparedRun {
            run_id: RunId::new("run-1"),
+            cursor_request_id: None,
            conversation_id,
            kind: RunKind::Root,
            model: ModelSpec::new(call.model_hash.clone()),
@@ -3,8 +3,8 @@ use std::time::Duration;
 use axum::{http::header, response::IntoResponse, routing::post, Router};
 use cursor_server::{
    model::{
-        ModelInvocation, ModelRequest, ModelSpec, PromptSpec, ProviderEndpointInput,
-        ProviderModelInput, ProviderType,
+        ModelConfigInput, ModelInvocation, ModelRequest, ModelSpec, ModelType, PromptSpec,
+        OPENAI_CHAT_ENDPOINT,
    },
    provider::{ModelEvent, Provider, ProviderRouter},
    store::Store,
@@ -105,7 +105,7 @@ async fn cursor_trace_links_detailed_artifacts_to_the_logical_run() {
 #[tokio::test]
 async fn records_one_summary_and_raw_payloads_for_one_provider_request() {
    let app = Router::new().route(
-        "/v1/chat/completions",
+        "/proxy/generate",
        post(|| async {
            (
                [(header::CONTENT_TYPE, "text/event-stream")],
@@ -124,34 +124,30 @@ async fn records_one_summary_and_raw_payloads_for_one_provider_request() {

    let (_directory, store) = test_store("observability.db").await;
    store.set_detailed_logging(true).await.unwrap();
-    let endpoint = store
-        .create_provider(&ProviderEndpointInput {
-            name: "test".into(),
-            provider_type: ProviderType::OpenAiChat,
-            base_url: format!("http://{address}/v1"),
-            api_key: Some("not-recorded".into()),
-            custom_headers: serde_json::json!({"x-safe":"visible","authorization":"hidden"}),
-            extra_params: serde_json::json!({}),
-        })
-        .await
-        .unwrap();
    let model = store
-        .save_provider_model(
-            endpoint.provider_id,
-            &ProviderModelInput {
-                model_id: "actual-model".into(),
-                display_name: "Display Model".into(),
-                endpoint_type: ProviderType::OpenAiChat,
-                request_url: String::new(),
-                enabled: true,
-                sort_order: 0,
-                context_window_tokens: None,
-                max_output_tokens: None,
-                reasoning_enabled: false,
-                reasoning_effort: None,
-                supports_image_generation: false,
-            },
-        )
+        .create_model(&ModelConfigInput {
+            sort_order: 0,
+            display_name: "Display Model".into(),
+            model_type: ModelType::OpenAi,
+            base_url: format!("http://{address}/proxy/generate"),
+            use_full_url: true,
+            api_key: "not-recorded".into(),
+            tooltip_data: "Display Model".into(),
+            model_id: "actual-model".into(),
+            reasoning_effort: None,
+            openai_endpoint: OPENAI_CHAT_ENDPOINT.into(),
+            openai_extra_params_enabled: false,
+            openai_extra_params: serde_json::json!({}),
+            custom_headers_enabled: true,
+            custom_headers: serde_json::json!({"x-safe":"visible","authorization":"hidden"}),
+            anthropic_extra_params_enabled: false,
+            anthropic_extra_params: serde_json::json!({}),
+            context_window_tokens: None,
+            max_completion_tokens: None,
+            anthropic_max_tokens: None,
+            anthropic_thinking_effort: None,
+            thinking_budget_tokens: None,
+        })
        .await
        .unwrap();
    let provider = ProviderRouter::new(store.clone(), Duration::from_secs(5));
@@ -183,7 +179,7 @@ async fn records_one_summary_and_raw_payloads_for_one_provider_request() {
    let call = store.llm_call("call-1").await.unwrap().unwrap();
    assert_eq!(call.status, "completed");
    assert_eq!(call.request_type, "openai-chat");
-    assert!(call.request_url.ends_with("/v1/chat/completions"));
+    assert_eq!(call.request_url, format!("http://{address}/proxy/generate"));
    assert_eq!(call.total_tokens, Some(12));
    assert!(call.ttfb_ms.is_some());
    assert!(call.ttft_ms.is_some());
@@ -172,7 +172,7 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
            "SembleSearch",
            "SembleFindRelated",
        ],
-        "cefa1800d7440611b6c3e922fa59f1fe262eca4cee52ea71043fe1f29e52c659",
+        "ec10becac85819cda321298762892852194c78601db66cc0b4ce74bc1213e29e",
    );
    assert_mode(
        &assets,
@@ -194,7 +194,7 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
            "SembleSearch",
            "SembleFindRelated",
        ],
-        "235a2a9a7785844eb5186f1c8f2294a36a04bbf103887d05ec386f8c7cc52abc",
+        "e2eb8a1ebd70d53b1b2eb6bedabdce62ff070a05a6168216013d0a1144ed8bb5",
    );
    assert_mode(
        &assets,
@@ -218,7 +218,7 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
            "SembleSearch",
            "SembleFindRelated",
        ],
-        "cefa1800d7440611b6c3e922fa59f1fe262eca4cee52ea71043fe1f29e52c659",
+        "ec10becac85819cda321298762892852194c78601db66cc0b4ce74bc1213e29e",
    );
    assert_mode(
        &assets,
@@ -244,7 +244,7 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
            "SembleSearch",
            "SembleFindRelated",
        ],
-        "04c5fb238eb3695936ceed610b481caf7507f934efb88cb7130a8756e12959e3",
+        "25f7b559941baabfc9b1046455b04ca812fc41a6878ad55a43d83f0bd18cd92f",
    );
    assert_mode(
        &assets,
@@ -272,7 +272,7 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
            "SembleSearch",
            "SembleFindRelated",
        ],
-        "f88c55fdbb53be377e64cc6280ebb23c75e2d244b5c3463ed18e90752c3b7ff5",
+        "48c8e0fe825f9c2450307ca5e70cde7077c4282c135b2cd15338bd4bd0c43636",
    );
    assert_mode(
        &assets,
@@ -282,8 +282,24 @@ fn every_prompt_mode_loads_the_captured_tool_set() {
    );
    assert_eq!(
        schema_digest(&assets.mode(Mode::Agent).tools),
-        "4324c36fa047fbe4c93a5d5f0b736c559a942e097266c5bae057804289f8b359"
+        "e53a72c1d131ff3f65c619799232440b064e90e99f5d3fcceb63e32598d3a0fc"
    );
+    let task = assets
+        .mode(Mode::Agent)
+        .tools
+        .iter()
+        .find(|tool| tool.name == "Task")
+        .unwrap();
+    assert!(task.description.contains(
+        "When the user does not specify a number, launch at most three subagents in a single response. If the user explicitly requests more, you may launch the requested number."
+    ));
+    assert!(task.description.contains(
+        "If the user explicitly requests parallel subagents, follow the number requested by the user."
+    ));
+    assert!(!task
+        .description
+        .chars()
+        .any(|character| ('\u{4e00}'..='\u{9fff}').contains(&character)));
    let shell = assets
        .mode(Mode::Agent)
        .tools
@@ -12,6 +12,7 @@ fn prepared(
 ) -> PreparedRun {
    PreparedRun {
        run_id: RunId::new(run_id),
+        cursor_request_id: None,
        conversation_id: conversation_id.clone(),
        kind: RunKind::Root,
        model: ModelSpec::new("test-model"),
@@ -89,6 +90,35 @@ async fn selecting_an_old_revision_creates_a_branch_without_old_suffixes() {
        .is_err());
 }

+#[tokio::test]
+async fn reused_cursor_request_id_maps_to_the_current_distinct_execution() {
+    let (_directory, store) = fixtures::temp_store().await;
+    let conversation_id = ConversationId::new("queued-conversation");
+    let root = store.ensure_conversation(&conversation_id).await.unwrap();
+
+    let mut first = prepared("reused-request:11111111", &conversation_id, root);
+    first.cursor_request_id = Some("reused-request".into());
+    store.claim_run(&first).await.unwrap();
+    assert_eq!(
+        store
+            .active_run_for_cursor_request("reused-request")
+            .await
+            .unwrap(),
+        Some(first.run_id.clone())
+    );
+
+    let mut second = prepared("reused-request:22222222", &conversation_id, root);
+    second.cursor_request_id = Some("reused-request".into());
+    store.claim_run(&second).await.unwrap();
+    assert_eq!(
+        store
+            .active_run_for_cursor_request("reused-request")
+            .await
+            .unwrap(),
+        Some(second.run_id)
+    );
+}
+
 #[tokio::test]
 async fn identical_runtime_event_is_exactly_once_and_conflicts_are_rejected() {
    let (_directory, store) = fixtures::temp_store().await;
@@ -117,7 +117,7 @@ async fn unchanged_request_context_is_not_repeated_and_preserves_the_provider_pr
    };
    assert_eq!(
        request.history[1].message_id,
-        "runtime:run-request:ask-request"
+        "runtime:cursor:user:wire-user"
    );
    assert!(!request.prompt.instructions.contains("workspace rule"));
    assert!(!request.prompt.instructions.contains("<mcp_meta_tools>"));
@@ -12,6 +12,7 @@ async fn runtime_event_is_appended_exactly_once() {
    let root = store.ensure_conversation(&conversation_id).await.unwrap();
    let run = PreparedRun {
        run_id: RunId::new("run"),
+        cursor_request_id: None,
        conversation_id: conversation_id.clone(),
        kind: RunKind::Root,
        model: ModelSpec::new("model"),
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
leookun	9deb42915c	release: v0.1.2	2026-08-26 15:56:02 +08:00
leookun	1bc1c3d978	merge old config	2026-08-26 15:50:53 +08:00
leookun	e1937233ec	merge old config	2026-08-26 15:46:11 +08:00
leookun	34f97334dc	test: update compaction fixtures for main	2026-08-26 01:51:00 +08:00
leookun	ab7b5e8c00	merge: fix compaction input usage anchor	2026-08-26 01:49:15 +08:00
leookun	78ff002aad	fix: anchor compaction to provider input usage	2026-08-26 01:49:12 +08:00
leookun	847e92c7ea	refactor: update cursor request handling and improve parent request management - Changed `run_id` to `request_id` in `CursorParent` struct for clarity. - Enhanced the `prepare` function to handle parent requests asynchronously, ensuring proper error handling for active runs. - Updated database interactions to include `cursor_request_id` for better tracking of requests. - Added tests to verify the behavior of reused cursor request IDs and their mapping to distinct executions.	2026-08-26 01:46:30 +08:00
leokun	ae31757635	Merge pull request #349 from linanwanttodo/main feat: 支持 Linux 平台使用（CA 安装适配 + 跨平台静默启动），并修复 api_key 泄漏	2026-08-26 00:56:43 +08:00
leookun	a773888852	fix: show window on manual launch	2026-08-26 00:40:56 +08:00
leookun	bdf4b923d7	fix: preserve provider API key echo	2026-08-26 00:31:14 +08:00
Linanwanttodo	d95273c49b	feat: 支持 Linux 平台使用（CA 安装适配 + 静默启动），并修复 api_key 泄漏 CA 适配： - 移除 CA 模块对 macOS/Windows 的硬性限制，Linux 走完整初始化流程 - 按发行版自动选择安装命令：Debian 系 update-ca-certificates， Fedora/RHEL/Arch 系 update-ca-trust extract；已安装检测比对信任锚文件 - 删除不可达的 CaState::Unsupported 分支及前端"请使用 macOS 或 Windows"提示静默启动（参考 cc-switch 实现逻辑）： - 新增 DesktopSettings 持久化（service_settings 表）及 GET/PUT /api/settings/desktop - 主窗口统一以 visible(false) 创建，启动时读取配置决定是否显示 - 应用设置页：开启"开机启动"后显示"静默启动"子开关安全修复： - ProviderEndpoint.api_key 增加 serde(skip_serializing)，避免明文 API Key 随 JSON 响应泄漏（provider_console 测试恢复通过）其他： - Linux 补齐 open_terminal_with_command：按序探测 x-terminal-emulator / gnome-terminal / konsole 等并在新终端窗口执行命令 - "打开终端安装 CA"失败信息不再被前端静默吞掉 - 顺手修复上游遗留问题：desktop.rs 未使用导入、output.rs 测试模块位置、providers.rs 格式	2026-08-25 22:59:21 +08:00
leokun	081e1f50e2	feat: NormalizedProvider	2026-08-25 20:50:57 +08:00
leookun	5f87357681	fix: restore Windows shell parsing metadata	2026-08-25 13:31:14 +08:00