fix(desktop): AI 文本对话改由后端请求

Cargo.toml

@@ -31,7 +31,7 @@ ntfs               = "0.4"
 windows-sys        = { version = "0.59", features = ["Win32_Foundation", "Win32_Storage_FileSystem", "Win32_System_IO", "Win32_System_Registry"] }
 globset            = "0.4"
 trash              = "5"
-reqwest            = { version = "0.12", default-features = false, features = ["json", "rustls-tls"] }
+reqwest            = { version = "0.12", default-features = false, features = ["json", "rustls-tls", "system-proxy"] }
 tokio              = { version = "1", features = ["full"] }
 once_cell          = "1"
 chrono             = { version = "0.4", features = ["serde"] }

apps/desktop/src-tauri/src/lib.rs

@@ -4,7 +4,9 @@ use std::sync::Mutex;
 use std::time::{Duration, SystemTime};
 
 use include_dir::{include_dir, Dir};
-use pinkbin_advisor::{advise as advise_provider, AdvisorRequest, AdvisorResponse, Provider};
+use pinkbin_advisor::{
+    advise as advise_provider, chat as chat_provider, AdvisorRequest, AdvisorResponse, Provider,
+};
 use pinkbin_executor::{execute, Plan, UndoEntry};
 use pinkbin_scaffold::{
     compile_all, detect_compiled, detect_for, expand_env, load_dir, parse_toml, CompiledScaffold,
@@ -851,6 +853,23 @@ async fn advise(
         .map_err(|e| e.to_string())
 }
 
+#[tauri::command]
+async fn advisor_chat(
+    state: State<'_, AppState>,
+    system: String,
+    user: String,
+) -> Result<String, String> {
+    let provider = state
+        .advisor
+        .lock()
+        .unwrap()
+        .clone()
+        .ok_or_else(|| "advisor not configured — open Settings".to_string())?;
+    chat_provider(&provider, &system, &user)
+        .await
+        .map_err(|e| e.to_string())
+}
+
 #[tauri::command]
 fn inspect_path(path: String, sample_count: usize) -> Vec<String> {
     sample_paths(&path, sample_count)
@@ -1332,6 +1351,7 @@ pub fn run() {
             execute_scope,
             list_conda_envs,
             advise,
+            advisor_chat,
             inspect_path,
             reveal_in_explorer,
             execute_plan,

apps/desktop/src/App.tsx

@@ -13,7 +13,7 @@ import { Splitter } from './components/Splitter';
 import { Logo } from './components/Logo';
 import { ErrorBoundary } from './components/ErrorBoundary';
 import { formatBytes } from './format';
-import { loadSettings, isConfigured } from './advisorClient';
+import { loadSettings, isConfigured, syncAdvisorToBackend } from './advisorClient';
 
 function isDriveRoot(p: string): boolean {
   // C: / C:\ / C:/  — anything beyond is a subfolder
@@ -73,7 +73,12 @@ export default function App() {
     const s = loadSettings();
     setAdvisorTag(isConfigured(s) ? { provider: s.provider } : null);
   };
-  useEffect(() => { refreshAdvisorTag(); }, []);
+  useEffect(() => {
+    refreshAdvisorTag();
+    // Settings live in localStorage; after a restart, hydrate Rust state so
+    // backend advisor commands work before the user reopens Settings.
+    syncAdvisorToBackend().catch(() => {});
+  }, []);
   const [leftWidth, setLeftWidth] = useState<number>(() => {
     const v = Number(localStorage.getItem('pinkbin.leftWidth'));
     return Number.isFinite(v) && v > MIN_LEFT ? v : DEFAULT_LEFT;

apps/desktop/src/advisorClient.ts

@@ -1,9 +1,12 @@
-// Browser-side AI advisor client — talks to OpenAI / Anthropic / Ollama directly
-// from the browser, so the preview mode can give real answers.
+// AI advisor client. Browser preview talks to providers directly. In the
+// packaged Tauri app, text-only chat goes through the backend so compatible
+// OpenAI relays do not need browser CORS support.
 //
 // Settings persist to localStorage under "pinkbin.advisor".
 
+import { invoke } from '@tauri-apps/api/core';
 import type { AdvisorRequest, AdvisorResponse } from './types';
+import { isTauri } from './env';
 
 export type Provider = 'openai' | 'anthropic' | 'gemini' | 'ollama';
 
@@ -179,6 +182,16 @@ export function isConfigured(s: AdvisorSettings | null): s is AdvisorSettings {
   return Boolean(s.apiKey && s.model);
 }
 
+export async function syncAdvisorToBackend(settings = loadSettings()): Promise<void> {
+  if (!isTauri || !isConfigured(settings)) return;
+  await invoke<void>('set_advisor', {
+    provider: settings.provider,
+    apiKey: settings.provider === 'ollama' ? null : settings.apiKey,
+    model: settings.model,
+    baseUrl: settings.baseUrl || null,
+  });
+}
+
 const CHAT_SYSTEM = `You are Pinkbin's AI advisor — a friendly assistant that helps users figure out what their disk folders are and whether to delete them. Use the metadata you are given (the user's question references a folder by its path, size, samples). Be concise (2-4 sentences), in the user's language. If you suggest deleting, say what to delete (the whole folder vs a sub-scope) and via what mechanism (回收站 / 手动整理 / 卸载应用). Never recommend rm -rf on system paths.`;
 
 const OVERVIEW_SYSTEM = `You are Pinkbin's AI advisor. The user just finished scanning their disk. You receive a JSON summary of the largest folders. Write a friendly Chinese overview (~180-220 字) covering, in order, with empty lines between sections:
@@ -227,6 +240,13 @@ async function runChatRaw(system: string, user: string, images?: ChatImage[]): P
   const fullUser = user;
   const imgs = images ?? [];
 
+  if (isTauri && imgs.length === 0) {
+    // Backend requests bypass browser CORS preflight; keep image chat on the
+    // browser path because provider-specific vision payloads already work here.
+    await syncAdvisorToBackend(settings);
+    return invoke<string>('advisor_chat', { system, user: fullUser });
+  }
+
   if (settings.provider === 'openai') {
     const url = (settings.baseUrl || 'https://api.openai.com/v1').replace(/\/$/, '');
     const userContent: unknown = imgs.length === 0