feat: 设置新增开机启动与自动模型加载列表（多个本地模型按顺序逐个加载，最后一个保持运行）

2026-08-17 12:54:12 +08:00
parent 1a13915f72
commit 6eb197a91a
9 changed files with 454 additions and 104 deletions
@@ -241,6 +241,17 @@ version = "1.1.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1505bd5d3d116872e7271a6d4e16d81d0c8570876c8de68093a09ac269d8aac0"

+[[package]]
+name = "auto-launch"
+version = "0.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1f012b8cc0c850f34117ec8252a44418f2e34a2cf501de89e29b241ae5f79471"
+dependencies = [
+ "dirs 4.0.0",
+ "thiserror 1.0.69",
+ "winreg 0.10.1",
+]
+
 [[package]]
 name = "autocfg"
 version = "1.5.1"
@@ -846,6 +857,15 @@ dependencies = [
 "crypto-common",
 ]

+[[package]]
+name = "dirs"
+version = "4.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ca3aa72a6f96ea37bbc5aa912f6788242832f75369bdfdadcb0e38423f100059"
+dependencies = [
+ "dirs-sys 0.3.7",
+]
+
 [[package]]
 name = "dirs"
 version = "5.0.1"
@@ -864,6 +884,17 @@ dependencies = [
 "dirs-sys 0.5.0",
 ]

+[[package]]
+name = "dirs-sys"
+version = "0.3.7"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1b1d1d91c932ef41c0f2663aa8b0ca0342d444d842c06914aa0a7e352d0bada6"
+dependencies = [
+ "libc",
+ "redox_users 0.4.6",
+ "winapi",
+]
+
 [[package]]
 name = "dirs-sys"
 version = "0.4.1"
@@ -1011,7 +1042,7 @@ dependencies = [
 "rustc_version",
 "toml 1.1.4+spec-1.1.0",
 "vswhom",
- "winreg",
+ "winreg 0.55.0",
 ]

 [[package]]
@@ -4000,6 +4031,20 @@ dependencies = [
 "walkdir",
 ]

+[[package]]
+name = "tauri-plugin-autostart"
+version = "2.5.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "459383cebc193cdd03d1ba4acc40f2c408a7abce419d64bdcd2d745bc2886f70"
+dependencies = [
+ "auto-launch",
+ "serde",
+ "serde_json",
+ "tauri",
+ "tauri-plugin",
+ "thiserror 2.0.20",
+]
+
 [[package]]
 name = "tauri-plugin-opener"
 version = "2.5.4"
@@ -5423,6 +5468,15 @@ dependencies = [
 "memchr",
 ]

+[[package]]
+name = "winreg"
+version = "0.10.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "80d0f4e272c85def139476380b12f9ac60926689dd2e01d4923222f40580869d"
+dependencies = [
+ "winapi",
+]
+
 [[package]]
 name = "winreg"
 version = "0.55.0"
@@ -5549,6 +5603,7 @@ dependencies = [
 "serde_json",
 "tauri",
 "tauri-build",
+ "tauri-plugin-autostart",
 "tauri-plugin-opener",
 "tokio",
 "tracing",
@@ -19,6 +19,7 @@ tauri-build = { version = "2", features = [] }
 [dependencies]
 tauri = { version = "2", features = [] }
 tauri-plugin-opener = "2"
+tauri-plugin-autostart = "2"
 tracing-subscriber.workspace = true
 tracing.workspace = true
 tracing-appender.workspace = true
@@ -231,6 +231,26 @@ pub fn app_info(state: State<'_, App>) -> AppInfo {
    }
 }

+/// 查询是否已启用开机启动（登录 Windows 后自动运行）。
+#[tauri::command]
+pub async fn autostart_status(app: AppHandle) -> Result<bool, String> {
+    use tauri_plugin_autostart::ManagerExt;
+    app.autolaunch().is_enabled().map_err(|e| e.to_string())
+}
+
+/// 设置 / 取消开机启动，返回设置后的状态。
+#[tauri::command]
+pub async fn autostart_set(app: AppHandle, enabled: bool) -> Result<bool, String> {
+    use tauri_plugin_autostart::ManagerExt;
+    let autostart = app.autolaunch();
+    if enabled {
+        autostart.enable().map_err(|e| e.to_string())?;
+    } else {
+        autostart.disable().map_err(|e| e.to_string())?;
+    }
+    autostart.is_enabled().map_err(|e| e.to_string())
+}
+
 #[tauri::command]
 pub fn list_models(state: State<'_, App>) -> Result<Vec<ModelInfo>, String> {
    let db = state.core.db.lock().unwrap();
@@ -1503,6 +1523,59 @@ pub async fn deploy_model(
        (model, bin)
    };

+    let current = engine.status().await;
+    if current.running {
+        if current.model.as_deref() == Some(model.file_name.as_str()) {
+            let _ = app.emit(
+                "engine://deploy",
+                EngineDeployEvent {
+                    model_id,
+                    file_name: model.file_name.clone(),
+                    state: "ready".into(),
+                    message: None,
+                },
+            );
+            return Ok(());
+        }
+        // 部署另一个模型前，先停掉当前引擎
+        let _ = engine.stop().await;
+        *base.write().await = None;
+        let _ = app.emit("engine://status", engine.status().await);
+    }
+
+    let bin = PathBuf::from(engine_bin);
+    let app2 = app.clone();
+    let core2 = core.clone();
+    let engine2 = engine.clone();
+    let base2 = base.clone();
+    tokio::spawn(async move {
+        start_engine_and_wait(
+            &app2,
+            &core2,
+            &engine2,
+            &base2,
+            &model,
+            bin,
+            params.ctx_size,
+            params.ngl,
+        )
+        .await;
+    });
+    Ok(())
+}
+
+/// 启动本地模型引擎并等待就绪，全程推送部署进度事件；返回是否加载成功。
+async fn start_engine_and_wait(
+    app: &AppHandle,
+    core: &CoreApp,
+    engine: &EngineManager,
+    base: &Arc<RwLock<Option<String>>>,
+    model: &ModelInfo,
+    bin: PathBuf,
+    ctx_size: usize,
+    ngl: i32,
+) -> bool {
+    let model_id = model.id.clone();
    let file_name = model.file_name.clone();
    let emit_deploy = |state_name: &str, message: Option<String>| {
        let _ = app.emit(
@@ -1515,21 +1588,7 @@ pub async fn deploy_model(
            },
        );
    };
-
-    let current = engine.status().await;
-    if current.running {
-        if current.model.as_deref() == Some(file_name.as_str()) {
-            emit_deploy("ready", None);
-            return Ok(());
-        }
-        // 部署另一个模型前，先停掉当前引擎
-        let _ = engine.stop().await;
-        *base.write().await = None;
-        let _ = app.emit("engine://status", engine.status().await);
-    }
-
-    let bin = PathBuf::from(engine_bin);
-    if !bin.exists() {
+    if !bin.is_file() {
        emit_deploy(
            "error",
            Some(format!(
@@ -1537,97 +1596,126 @@ pub async fn deploy_model(
                bin.display()
            )),
        );
-        return Ok(());
+        let _ = app.emit("engine://status", engine.status().await);
+        return false;
    }
-
    emit_deploy("loading", None);
-    let app2 = app.clone();
-    let core2 = core.clone();
-    let engine2 = engine.clone();
-    let base2 = base.clone();
-    let model_id2 = model_id.clone();
-    let file_name2 = file_name.clone();
-
-    tokio::spawn(async move {
-        let cfg = EngineConfig {
-            binary_path: bin,
-            model_path: PathBuf::from(model.file_path.clone()),
-            host: "127.0.0.1".into(),
-            ctx_size: params.ctx_size,
-            ngl: params.ngl,
-            threads: None,
-            log_file: core2.logs_dir.join(format!("engine-{}.log", model.file_name)),
-        };
-        // 后台轮询引擎日志，解析模型加载进度并广播
-        let log_path = cfg.log_file.clone();
-        let progress_app = app2.clone();
-        let progress_model = model_id2.clone();
-        let progress_name = file_name2.clone();
-        let progress_task = tokio::spawn(async move {
-            let mut last_size = 0u64;
-            loop {
-                if let Ok(meta) = tokio::fs::metadata(&log_path).await {
-                    let size = meta.len();
-                    if size != last_size {
-                        last_size = size;
-                        if let Ok(bytes) = tokio::fs::read(&log_path).await {
-                            let text = String::from_utf8_lossy(&bytes);
-                            let (percent, stage) = estimate_load_progress(&text);
-                            let _ = progress_app.emit(
-                                "engine://deploy-progress",
-                                EngineDeployProgressEvent {
-                                    model_id: progress_model.clone(),
-                                    file_name: progress_name.clone(),
-                                    percent,
-                                    stage: stage.to_string(),
-                                },
-                            );
-                        }
+    let cfg = EngineConfig {
+        binary_path: bin,
+        model_path: PathBuf::from(model.file_path.clone()),
+        host: "127.0.0.1".into(),
+        ctx_size,
+        ngl,
+        threads: None,
+        log_file: core.logs_dir.join(format!("engine-{}.log", model.file_name)),
+    };
+    // 后台轮询引擎日志，解析模型加载进度并广播
+    let log_path = cfg.log_file.clone();
+    let progress_app = app.clone();
+    let progress_model = model_id.clone();
+    let progress_name = file_name.clone();
+    let progress_task = tokio::spawn(async move {
+        let mut last_size = 0u64;
+        loop {
+            if let Ok(meta) = tokio::fs::metadata(&log_path).await {
+                let size = meta.len();
+                if size != last_size {
+                    last_size = size;
+                    if let Ok(bytes) = tokio::fs::read(&log_path).await {
+                        let text = String::from_utf8_lossy(&bytes);
+                        let (percent, stage) = estimate_load_progress(&text);
+                        let _ = progress_app.emit(
+                            "engine://deploy-progress",
+                            EngineDeployProgressEvent {
+                                model_id: progress_model.clone(),
+                                file_name: progress_name.clone(),
+                                percent,
+                                stage: stage.to_string(),
+                            },
+                        );
                    }
                }
-                tokio::time::sleep(std::time::Duration::from_millis(250)).await;
-            }
-        });
-
-        match engine2.start(cfg).await {
-            Ok(()) => {
-                progress_task.abort();
-                *base2.write().await = engine2.base_url().await;
-                let _ = app2.emit(
-                    "engine://deploy",
-                    EngineDeployEvent {
-                        model_id: model_id2.clone(),
-                        file_name: file_name2.clone(),
-                        state: "ready".into(),
-                        message: None,
-                    },
-                );
-                let _ = app2.emit(
-                    "engine://deploy-progress",
-                    EngineDeployProgressEvent {
-                        model_id: model_id2.clone(),
-                        file_name: file_name2.clone(),
-                        percent: 100,
-                        stage: "服务已就绪".into(),
-                    },
-                );
-            }
-            Err(e) => {
-                progress_task.abort();
-                let _ = app2.emit(
-                    "engine://deploy",
-                    EngineDeployEvent {
-                        model_id: model_id2,
-                        file_name: file_name2,
-                        state: "error".into(),
-                        message: Some(e.to_string()),
-                    },
-                );
            }
+            tokio::time::sleep(std::time::Duration::from_millis(250)).await;
        }
-        let _ = app2.emit("engine://status", engine2.status().await);
    });
-    Ok(())
+
+    let result = engine.start(cfg).await;
+    progress_task.abort();
+    match result {
+        Ok(()) => {
+            *base.write().await = engine.base_url().await;
+            emit_deploy("ready", None);
+            let _ = app.emit(
+                "engine://deploy-progress",
+                EngineDeployProgressEvent {
+                    model_id: model_id.clone(),
+                    file_name: file_name.clone(),
+                    percent: 100,
+                    stage: "服务已就绪".into(),
+                },
+            );
+            let _ = app.emit("engine://status", engine.status().await);
+            true
+        }
+        Err(e) => {
+            emit_deploy("error", Some(e.to_string()));
+            let _ = app.emit("engine://status", engine.status().await);
+            false
+        }
+    }
+}
+
+/// 启动时按设置中保存的顺序自动加载本地模型：逐个部署，最后一个保持运行。
+pub async fn auto_load_models(app: &AppHandle) {
+    let state = app.state::<App>();
+    let core = state.core.clone();
+    let engine = state.engine.clone();
+    let base = state.engine_base.clone();
+
+    let (models, engine_bin) = {
+        let db = core.db.lock().unwrap();
+        let raw = settings_db::get(&db, "auto_load_models")
+            .ok()
+            .flatten()
+            .unwrap_or_else(|| "[]".to_string());
+        let ids: Vec<String> = serde_json::from_str(&raw).unwrap_or_default();
+        let models: Vec<ModelInfo> = ids
+            .iter()
+            .filter_map(|id| models_db::get(&db, id).ok().flatten())
+            .filter(|m| m.kind == "local")
+            .collect();
+        let bin = settings_db::get(&db, "engine_bin")
+            .ok()
+            .flatten()
+            .unwrap_or_default();
+        (models, bin)
+    };
+    if models.is_empty() {
+        return;
+    }
+    tracing::info!(count = models.len(), "auto-load models: start");
+    let bin = PathBuf::from(engine_bin);
+    let total = models.len();
+    for (i, model) in models.iter().enumerate() {
+        // 切换模型前先停掉当前引擎（start_engine_and_wait 只负责启动）
+        let current = engine.status().await;
+        if current.running {
+            let _ = engine.stop().await;
+            *base.write().await = None;
+            let _ = app.emit("engine://status", engine.status().await);
+        }
+        let ok = start_engine_and_wait(app, &core, &engine, &base, model, bin.clone(), 4096, 99)
+            .await;
+        tracing::info!(model = %model.file_name, ok, "auto-load model: finished");
+        // 非最后一个模型：加载完即停止，继续下一个；最后一个保持运行
+        if i + 1 < total {
+            let _ = engine.stop().await;
+            *base.write().await = None;
+            let _ = app.emit("engine://status", engine.status().await);
+        }
+    }
+    tracing::info!("auto-load models: done");
 }

 #[tauri::command]
@@ -7,6 +7,7 @@ use std::collections::HashMap;
 use std::sync::Arc;
 use tokio::sync::RwLock;
 use tauri::{Emitter, Manager};
+use tauri_plugin_autostart::MacosLauncher;
 use xianren_core::CoreApp;
 use xianren_core::models as models_db;
 use xianren_core::settings as settings_db;
@@ -62,6 +63,10 @@ pub fn run() {

    tauri::Builder::default()
        .plugin(tauri_plugin_opener::init())
+        .plugin(tauri_plugin_autostart::init(
+            MacosLauncher::LaunchAgent,
+            None,
+        ))
        .setup(|app| {
            let core = CoreApp::init(None)
                .map_err(|e| -> Box<dyn std::error::Error> { e.to_string().into() })?;
@@ -135,6 +140,12 @@ pub fn run() {
            }
            let _ = app.emit("models://updated", ());

+            // 自动加载模型：按设置列表顺序逐个部署，最后一个保持运行
+            let auto_load_app = app.handle().clone();
+            tauri::async_runtime::spawn(async move {
+                commands::auto_load_models(&auto_load_app).await;
+            });
+
            // 定时计划后台调度：每 30 秒检查一次到点的计划并执行
            let scheduler_app = app.handle().clone();
            tauri::async_runtime::spawn(async move {
@@ -169,6 +180,8 @@ pub fn run() {
            commands::remove_scheduled_task,
            commands::set_scheduled_task_enabled,
            commands::run_scheduled_task_now,
+            commands::autostart_status,
+            commands::autostart_set,
            commands::list_models,
            commands::import_model,
            commands::remove_model,
@@ -76,6 +76,7 @@ impl CoreApp {
                "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".to_string(),
            ),
            ("tool_web_search_enabled", "true".to_string()),
+            ("auto_load_models", "[]".to_string()),
            (
                "recommend_dir",
                self.data_dir
@@ -96,6 +96,8 @@ ui/src/
 ### 4.1 `lib.rs`

 - `run()`：初始化数据目录（`%APPDATA%\XianrenStudio`）、日志、panic 钩子；构建 Tauri 应用并注册 `invoke_handler`。
+- 注册插件：`tauri-plugin-opener`、`tauri-plugin-autostart`（开机启动，Windows 写注册表启动项）。
+- `setup` 末尾启动**自动加载模型**任务（`auto_load_models`：按设置列表顺序逐个部署，最后一个保持运行）。
 - `setup` 末尾启动**定时计划后台调度循环**（tokio interval 每 30 秒调用 `run_due_scheduled_tasks`）。
 - 数据目录：`logs/`、`models/`、`engines/`、`recommendations/`。

@@ -106,7 +108,7 @@ ui/src/
 | 智能体 | `list_agents`、`add_agent`、`update_agent`、`remove_agent`、`set_agent_enabled`、`restore_preset_agents` |
 | 工作流 | `list_workflows`、`add_workflow`、`update_workflow`、`remove_workflow`、`set_workflow_enabled`、`restore_preset_workflows`、`run_workflow` |
 | 定时计划 | `list_scheduled_tasks`、`add_scheduled_task`、`update_scheduled_task`、`remove_scheduled_task`、`set_scheduled_task_enabled`、`run_scheduled_task_now` |
-| 应用/设置 | `app_info`、`settings_get`、`settings_set` |
+| 应用/设置 | `app_info`、`autostart_status`、`autostart_set`、`settings_get`、`settings_set` |
 | 模型 | `list_models`、`import_model`、`remove_model`、`set_model_enabled`、`scan_models`、`add_remote_model` |
 | 模型广场 | `search_models`、`list_model_files`、`list_recommended_models`、`import_recommendations`、`fetch_model_page` |
 | 会话 | `list_conversations`（可按 `agent_id` 过滤）、`create_conversation`（可选 `agent_id`，自动继承智能体系统提示词与默认模型）、`rename_conversation`、`set_conversation_pinned`、`set_conversation_favorite`、`import_conversation`、`set_conversation_tools`、`delete_conversation`、`get_messages` |
@@ -131,6 +133,9 @@ ui/src/
 - `run_due_scheduled_tasks`：后台调度入口，由 `lib.rs` 启动的 tokio 循环每 30 秒调用一次；先清理重启前中断的「运行中」任务，再取出到点的启用计划逐个标记并异步执行。
 - `execute_scheduled_task` / `run_scheduled_task_once`：定时计划单次执行——解析执行智能体（指定智能体已删除时回退「通用助手」）与模型（`resolve_scheduled_model`：智能体默认模型 → 第一个本地模型 → 第一个已启用在线模型），在该智能体作用域内创建/复用空会话，写入用户消息并注入智能体系统提示词，本地模型未运行则自动拉起引擎，最后经 `call_model_messages` 调用模型并把助手回答写回数据库。
 - `call_model_messages`：`call_model_text` 的通用版，可携带 system + 多轮消息调用本地引擎或远程 OpenAI 兼容 API（定时计划复用）。
+- `auto_load_models`：应用启动时读取设置键 `auto_load_models`（JSON 数组，本地模型 id 按序排列），逐个调用 `start_engine_and_wait` 部署，非最后一个模型加载完即停止，最后一个保持运行。
+- `start_engine_and_wait`：本地模型引擎启动的公共实现（构造 `EngineConfig`、推送 `engine://deploy` / `engine://deploy-progress` 事件、轮询加载进度、更新 `engine_base`）；`deploy_model` 命令与 `auto_load_models` 共用。
+- `autostart_status` / `autostart_set`：查询 / 设置开机启动（`tauri-plugin-autostart` 的 `ManagerExt`）。

 **工作流执行引擎（`apps/desktop/src/workflow.rs`）：**

@@ -260,6 +265,7 @@ ui/src/
 | `suggest_count` | 3 | 预测条数（1–5） |
 | `tavily_api_key` | （内置演示值） | 联网搜索 API Key |
 | `tool_web_search_enabled` | true | 联网搜索工具开关 |
+| `auto_load_models` | `[]` | 启动时自动加载的本地模型 id 列表（JSON 数组，顺序即加载顺序） |
 | `recommend_dir` | 数据目录/recommendations | 推荐列表目录 |
 | `preset_agents_seeded` | 首次启动后为 `1` | 预制智能体是否已写入（内部标记，避免覆盖用户删除） |
 | `preset_workflows_seeded` | 首次启动后为 `1` | 预制工作流是否已写入（内部标记，避免覆盖用户删除） |
@@ -189,6 +189,9 @@
 ## 10. 设置页（`/settings`）

 - **引擎与路径**：模型目录、llama-server 路径、模型下载源（hf-mirror / huggingface.co / modelscope.cn）、默认后端（auto/cpu/cuda/vulkan）、上传大小上限。
+- **启动**：
+  - **开机启动**：登录 Windows 后自动启动应用（经 `tauri-plugin-autostart` 写入注册表启动项，可随时开关）。
+  - **自动加载模型列表**：维护一个**有序**的本地模型列表（支持添加 / 移除 / 上下调整顺序）；应用启动后按列表顺序**逐个部署加载**，由于同一时间只能运行一个本地模型，全部加载完成后保留列表最后一个模型在运行（加载参数使用默认值 ctx 4096 / GPU 层数 99）。
 - **对话**：
  - 自动生成对话标题（默认开）：首次回复后自动生成并覆盖标题。
  - **自动预测用户接下来说的话**（默认开）：见 2.4。
@@ -206,6 +209,7 @@

 ### 2026-08-17

+- 设置页新增「启动」：开机启动开关（写入 Windows 注册表启动项）；「自动加载模型」列表（多个本地模型按顺序在启动时逐个加载，最后一个保持运行）。
 - 任务页新增「定时计划」：可指定执行智能体（默认通用助手）、执行内容与间隔（分钟 / 小时 / 天），后台到点自动在智能体会话中执行并记录结果；支持立即执行 / 编辑 / 删除 / 启用停用。
 - 工作流画布顶栏微调：名称输入框宽度改为按文本实际宽度计算（中文按 2 倍字符宽折算，可完整显示名称），空间不足时自动收缩，保证右侧「保存 / 运行」按钮不被遮挡。

@@ -366,6 +366,8 @@ export interface ServerStatus {

 export const api = {
  appInfo: () => invoke<AppInfo>("app_info"),
+  autostartStatus: () => invoke<boolean>("autostart_status"),
+  autostartSet: (enabled: boolean) => invoke<boolean>("autostart_set", { enabled }),
  listAgents: () => invoke<Agent[]>("list_agents"),
  addAgent: (input: AgentInput) => invoke<Agent>("add_agent", { input }),
  updateAgent: (id: string, input: AgentInput) =>
@@ -1,27 +1,92 @@
-import { useEffect, useRef, useState } from "react";
-import { api, AppInfo } from "../api";
+import { useEffect, useMemo, useRef, useState } from "react";
+import { api, AppInfo, ModelInfo } from "../api";
+import { useStore } from "../store";

 export default function SettingsPage() {
  const [info, setInfo] = useState<AppInfo | null>(null);
  const [settings, setSettings] = useState<Record<string, string>>({});
  const [recommendDirDraft, setRecommendDirDraft] = useState("");
  const [uploadMsg, setUploadMsg] = useState<string | null>(null);
+  const [startupMsg, setStartupMsg] = useState<string | null>(null);
+  const [autostart, setAutostart] = useState<boolean | null>(null);
+  const [autoLoadDraft, setAutoLoadDraft] = useState<string[]>([]);
+  const [pickId, setPickId] = useState("");
  const uploadInputRef = useRef<HTMLInputElement>(null);
+  const models = useStore((s) => s.models);
+  const refreshModels = useStore((s) => s.refreshModels);

  useEffect(() => {
    api.appInfo().then(setInfo);
    api.settingsGet().then(setSettings);
+    api.autostartStatus().then(setAutostart).catch(() => setAutostart(false));
+    refreshModels();
  }, []);

  useEffect(() => {
    setRecommendDirDraft(settings.recommend_dir ?? "");
  }, [settings.recommend_dir]);

+  useEffect(() => {
+    try {
+      const parsed = JSON.parse(settings.auto_load_models ?? "[]");
+      setAutoLoadDraft(Array.isArray(parsed) ? parsed : []);
+    } catch {
+      setAutoLoadDraft([]);
+    }
+  }, [settings.auto_load_models]);
+
  async function handleSave(key: string, value: string) {
    await api.settingsSet(key, value);
    setSettings((prev) => ({ ...prev, [key]: value }));
  }

+  async function handleAutostartToggle(checked: boolean) {
+    try {
+      setAutostart(await api.autostartSet(checked));
+      setStartupMsg(checked ? "已开启开机启动" : "已关闭开机启动");
+    } catch (e) {
+      setStartupMsg(`开机启动设置失败：${String(e)}`);
+    }
+  }
+
+  const localModels = useMemo(
+    () => models.filter((m) => m.kind === "local"),
+    [models],
+  );
+  const draftRows = useMemo(
+    () =>
+      autoLoadDraft
+        .map((id) => localModels.find((m) => m.id === id))
+        .filter((m): m is ModelInfo => Boolean(m)),
+    [autoLoadDraft, localModels],
+  );
+  const available = useMemo(
+    () => localModels.filter((m) => !autoLoadDraft.includes(m.id)),
+    [localModels, autoLoadDraft],
+  );
+
+  function moveRow(index: number, dir: -1 | 1) {
+    setAutoLoadDraft((prev) => {
+      const next = [...prev];
+      const target = index + dir;
+      if (target < 0 || target >= next.length) return prev;
+      [next[index], next[target]] = [next[target], next[index]];
+      return next;
+    });
+  }
+
+  function removeRow(index: number) {
+    setAutoLoadDraft((prev) => prev.filter((_, i) => i !== index));
+  }
+
+  async function handleSaveAutoLoad() {
+    await handleSave("auto_load_models", JSON.stringify(draftRows.map((m) => m.id)));
+  }
+
+  function modelDisplayName(m: ModelInfo) {
+    return m.file_name.replace(/\.gguf$/i, "");
+  }
+
  async function handleUpload(file: File) {
    setUploadMsg(null);
    try {
@@ -105,6 +170,118 @@ export default function SettingsPage() {
          </div>
        </div>

+        <div className="rounded-xl border border-border bg-panel p-5">
+          <div className="text-xs uppercase text-slate-400">启动</div>
+          {startupMsg ? (
+            <div className="mt-2 text-xs text-slate-400">{startupMsg}</div>
+          ) : null}
+          <div className="mt-3 flex items-center justify-between rounded-lg border border-border bg-panel-2 px-3 py-2.5">
+            <div>
+              <div className="text-sm">开机启动</div>
+              <div className="mt-0.5 text-xs text-slate-400">
+                登录 Windows 后自动启动仙人工作室
+              </div>
+            </div>
+            <Toggle
+              checked={autostart === true}
+              disabled={autostart === null}
+              onChange={handleAutostartToggle}
+            />
+          </div>
+
+          <div className="mt-4">
+            <div className="text-sm">自动加载模型</div>
+            <div className="mt-0.5 text-xs text-slate-400">
+              应用启动后按列表顺序逐个加载本地模型；由于同一时间只能运行一个模型，全部加载完成后保留列表最后一个在运行
+            </div>
+            <div className="mt-3 space-y-2">
+              {draftRows.length === 0 ? (
+                <div className="rounded-lg border border-dashed border-border bg-panel-2/50 px-3 py-5 text-center text-xs text-slate-500">
+                  还没有添加模型，从下方下拉框选择要自动加载的本地模型
+                </div>
+              ) : (
+                draftRows.map((m, i) => (
+                  <div
+                    key={m.id}
+                    className="flex items-center gap-2 rounded-lg border border-border bg-panel-2 px-3 py-2"
+                  >
+                    <span className="text-xs text-slate-500">{i + 1}</span>
+                    <span className="min-w-0 flex-1 truncate text-sm">
+                      {modelDisplayName(m)}
+                    </span>
+                    <button
+                      className="rounded border border-border px-1.5 py-0.5 text-xs text-slate-400 hover:text-slate-200 disabled:opacity-40"
+                      onClick={() => moveRow(i, -1)}
+                      disabled={i === 0}
+                      title="上移"
+                    >
+                      ↑
+                    </button>
+                    <button
+                      className="rounded border border-border px-1.5 py-0.5 text-xs text-slate-400 hover:text-slate-200 disabled:opacity-40"
+                      onClick={() => moveRow(i, 1)}
+                      disabled={i === draftRows.length - 1}
+                      title="下移"
+                    >
+                      ↓
+                    </button>
+                    <button
+                      className="rounded border border-border px-1.5 py-0.5 text-xs text-slate-400 hover:text-red-400"
+                      onClick={() => removeRow(i)}
+                      title="移除"
+                    >
+                      ×
+                    </button>
+                  </div>
+                ))
+              )}
+            </div>
+            <div className="mt-3 flex items-center gap-2">
+              <select
+                className="input flex-1"
+                value={pickId}
+                onChange={(e) => setPickId(e.target.value)}
+              >
+                <option value="">
+                  {available.length > 0
+                    ? "选择要添加的本地模型…"
+                    : "没有可添加的本地模型"}
+                </option>
+                {available.map((m) => (
+                  <option key={m.id} value={m.id}>
+                    {modelDisplayName(m)}
+                  </option>
+                ))}
+              </select>
+              <button
+                className="btn-secondary shrink-0"
+                disabled={!pickId}
+                onClick={() => {
+                  setAutoLoadDraft((prev) => [...prev, pickId]);
+                  setPickId("");
+                }}
+              >
+                添加
+              </button>
+            </div>
+            <div className="mt-3 flex items-center justify-between gap-2">
+              <span className="text-[11px] text-slate-500">
+                列表顺序即加载顺序，可拖动上下按钮调整
+              </span>
+              <button
+                className="btn-primary px-3 py-1.5 text-xs"
+                onClick={handleSaveAutoLoad}
+                disabled={
+                  JSON.stringify(draftRows.map((m) => m.id)) ===
+                  JSON.stringify(autoLoadDraft)
+                }
+              >
+                保存列表
+              </button>
+            </div>
+          </div>
+        </div>
+
        <div className="rounded-xl border border-border bg-panel p-5">
          <div className="text-xs uppercase text-slate-400">对话</div>
          <div className="mt-3 flex items-center justify-between rounded-lg border border-border bg-panel-2 px-3 py-2.5">
@@ -242,19 +419,22 @@ export default function SettingsPage() {
 function Toggle({
  checked,
  onChange,
+  disabled = false,
 }: {
  checked: boolean;
  onChange: (checked: boolean) => void;
+  disabled?: boolean;
 }) {
  return (
    <button
      type="button"
      role="switch"
      aria-checked={checked}
+      disabled={disabled}
      onClick={() => onChange(!checked)}
      className={`relative h-6 w-11 shrink-0 rounded-full transition-colors ${
        checked ? "bg-accent" : "bg-panel-2"
-      }`}
+      } ${disabled ? "cursor-not-allowed opacity-50" : ""}`}
    >
      <span
        className={`absolute top-0.5 h-5 w-5 rounded-full bg-white shadow transition-all ${