diff --git a/.env.development b/.env.development
index b8ccd8b..ae6beaf 100644
--- a/.env.development
+++ b/.env.development
@@ -4,3 +4,13 @@ VITE_APP_NAME=后台管理(开发环境)
 
 
 #VITE_API_URL=https://cms-api.s209.websoft.top/api
+
+# AI 网关（开发环境建议走同源反代，避免浏览器 CORS）
+VITE_AI_API_URL=/ai-proxy
+
+# Ollama 原生接口（开发环境建议走同源反代，避免浏览器 CORS）
+VITE_OLLAMA_API_URL=/ollama-proxy
+
+# 如果 AI 网关启用了鉴权（401 Not authenticated），填入你的 Key（仅供本机 dev server 使用）
+# 不要加 VITE_ 前缀，避免被打包进前端
+# AI_API_KEY=your_ai_api_key
diff --git a/.env.example b/.env.example
index eb6f73c..78102ce 100644
--- a/.env.example
+++ b/.env.example
@@ -6,6 +6,19 @@ VITE_API_URL=https://your-api.com/api
 VITE_SERVER_API_URL=https://your-server.com/api
 VITE_DOMAIN=https://your-domain.com
 VITE_FILE_SERVER=https://your-file-server.com
+# AI 网关(OpenAI兼容)
+# - 开发环境推荐走同源反代：VITE_AI_API_URL=/ai-proxy（配合 vite.config.ts）
+# - 生产环境可直连（需 AI 服务允许 CORS），或在 Nginx 里配置 /ai-proxy 反代
+VITE_AI_API_URL=https://ai-api.websoft.top/api/v1
+
+# Ollama 原生接口（默认端口 11434）
+# - 开发环境推荐走同源反代：VITE_OLLAMA_API_URL=/ollama-proxy（配合 vite.config.ts）
+# - 生产环境不要直接用 http（会混合内容被拦截），建议 Nginx 反代成同源 https
+VITE_OLLAMA_API_URL=http://47.119.165.234:11434
+
+# 仅用于本地开发反代注入（vite.config.ts 会读取并注入到 /ai-proxy 请求头）
+# 不要加 VITE_ 前缀，避免被打包到前端产物里
+AI_API_KEY=your_ai_api_key
 
 # 租户配置
 VITE_TENANT_ID=your_tenant_id
diff --git a/docs/AI_PROXY_NGINX.md b/docs/AI_PROXY_NGINX.md
new file mode 100644
index 0000000..4cc4e22
--- /dev/null
+++ b/docs/AI_PROXY_NGINX.md
@@ -0,0 +1,76 @@
+# AI /ai-proxy Nginx 反代示例
+
+前端页面 `src/views/ai/index.vue` 默认在开发环境使用 `AI_API_URL=/ai-proxy`，通过同源反代解决浏览器 CORS。
+
+## 1) Vite 开发环境
+
+项目已在 `vite.config.ts` 配置（默认目标可通过 `AI_PROXY_TARGET` 调整）：
+
+- `/ai-proxy/*` -> `https://ai-api.websoft.top/api/v1/*`
+
+配合 `.env.development`：
+
+```bash
+VITE_AI_API_URL=/ai-proxy
+```
+
+## 2) 生产环境（Nginx 反代）
+
+如果你的生产站点是 Nginx 托管静态文件，建议也加一条同源反代：
+
+```nginx
+location /ai-proxy/ {
+  proxy_pass https://ai-api.websoft.top/api/v1/;
+  proxy_http_version 1.1;
+  proxy_set_header Host ai-api.websoft.top;
+  proxy_set_header X-Real-IP $remote_addr;
+  proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+  proxy_set_header X-Forwarded-Proto $scheme;
+
+  # SSE/流式输出建议关闭缓存与缓冲
+  proxy_buffering off;
+  proxy_cache off;
+
+  # 如果你的 AI 网关开启了鉴权（401 Not authenticated），可以在反代层固定注入：
+  # proxy_set_header Authorization "Bearer YOUR_AI_API_KEY";
+}
+```
+
+然后把生产环境的 `VITE_AI_API_URL` 配置为：
+
+```bash
+VITE_AI_API_URL=/ai-proxy
+```
+
+## 2.1) Ollama 原生接口（Nginx 反代）
+
+如果你要直接用原生 Ollama（`http://<host>:11434`），生产环境同样建议走同源反代（避免 CORS + https 混合内容）：
+
+```nginx
+location /ollama-proxy/ {
+  proxy_pass http://47.119.165.234:11434/;
+  proxy_http_version 1.1;
+  proxy_set_header Host 47.119.165.234;
+  proxy_set_header X-Real-IP $remote_addr;
+  proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+  proxy_set_header X-Forwarded-Proto $scheme;
+
+  proxy_buffering off;
+  proxy_cache off;
+}
+```
+
+然后把 `VITE_OLLAMA_API_URL` 配置为：
+
+```bash
+VITE_OLLAMA_API_URL=/ollama-proxy
+```
+
+## 3) 关于 API Key
+
+不建议把 Key 放在浏览器里。
+
+推荐做法：
+
+- Key 放在你自己的后端（或 Nginx）里统一注入 / 鉴权；
+- 前端只请求同源 `/ai-proxy/*`。
diff --git a/src/api/ai/ollama.ts b/src/api/ai/ollama.ts
new file mode 100644
index 0000000..03aaf41
--- /dev/null
+++ b/src/api/ai/ollama.ts
@@ -0,0 +1,146 @@
+import { OLLAMA_API_URL } from '@/config/setting';
+
+export type OllamaRole = 'system' | 'user' | 'assistant' | 'tool';
+
+export interface OllamaChatMessage {
+  role: OllamaRole;
+  content: string;
+}
+
+export interface OllamaModelTag {
+  name: string;
+  modified_at?: string;
+  size?: number;
+  digest?: string;
+  details?: any;
+}
+
+export interface OllamaTagsResponse {
+  models: OllamaModelTag[];
+}
+
+export interface OllamaChatRequest {
+  model: string;
+  messages: OllamaChatMessage[];
+  stream?: boolean;
+  options?: {
+    temperature?: number;
+    top_p?: number;
+    num_predict?: number;
+  };
+}
+
+export interface OllamaChatResponseChunk {
+  model?: string;
+  created_at?: string;
+  message?: { role: OllamaRole; content: string };
+  done?: boolean;
+  error?: string;
+}
+
+function normalizeBaseURL(baseURL: string) {
+  return baseURL.replace(/\/+$/, '');
+}
+
+export async function listOllamaModels(opts?: { baseURL?: string }) {
+  const baseURL = normalizeBaseURL(opts?.baseURL ?? OLLAMA_API_URL);
+  const res = await fetch(`${baseURL}/api/tags`, { method: 'GET' });
+  if (!res.ok) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `listOllamaModels failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+  return (await res.json()) as OllamaTagsResponse;
+}
+
+export async function ollamaChat(
+  body: OllamaChatRequest,
+  opts?: { baseURL?: string; signal?: AbortSignal }
+) {
+  const baseURL = normalizeBaseURL(opts?.baseURL ?? OLLAMA_API_URL);
+  const res = await fetch(`${baseURL}/api/chat`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ ...body, stream: false }),
+    signal: opts?.signal
+  });
+  if (!res.ok) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `ollamaChat failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+  return (await res.json()) as OllamaChatResponseChunk;
+}
+
+/**
+ * Ollama native streaming is newline-delimited JSON objects, not SSE.
+ */
+export async function ollamaChatStream(
+  body: Omit<OllamaChatRequest, 'stream'>,
+  opts: {
+    baseURL?: string;
+    signal?: AbortSignal;
+    onDelta: (text: string) => void;
+    onDone?: () => void;
+  }
+) {
+  const baseURL = normalizeBaseURL(opts.baseURL ?? OLLAMA_API_URL);
+  const res = await fetch(`${baseURL}/api/chat`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ ...body, stream: true }),
+    signal: opts.signal
+  });
+
+  if (!res.ok || !res.body) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `ollamaChatStream failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+
+  const reader = res.body.getReader();
+  const decoder = new TextDecoder('utf-8');
+  let buffer = '';
+
+  while (true) {
+    const { value, done } = await reader.read();
+    if (done) break;
+    buffer += decoder.decode(value, { stream: true });
+
+    let idx = buffer.indexOf('\n');
+    while (idx !== -1) {
+      const line = buffer.slice(0, idx).trim();
+      buffer = buffer.slice(idx + 1);
+      idx = buffer.indexOf('\n');
+
+      if (!line) continue;
+
+      let json: OllamaChatResponseChunk;
+      try {
+        json = JSON.parse(line);
+      } catch {
+        continue;
+      }
+
+      if (json.error) {
+        throw new Error(json.error);
+      }
+
+      const delta = json.message?.content;
+      if (delta) {
+        opts.onDelta(delta);
+      }
+
+      if (json.done) {
+        opts.onDone?.();
+        return;
+      }
+    }
+  }
+
+  opts.onDone?.();
+}
+
diff --git a/src/api/ai/openai.ts b/src/api/ai/openai.ts
new file mode 100644
index 0000000..4ada4fa
--- /dev/null
+++ b/src/api/ai/openai.ts
@@ -0,0 +1,173 @@
+import { AI_API_URL } from '@/config/setting';
+
+export type OpenAIRole = 'system' | 'user' | 'assistant' | 'tool';
+
+export interface OpenAIChatMessage {
+  role: OpenAIRole;
+  content: string;
+  name?: string;
+}
+
+export interface OpenAIModel {
+  id: string;
+  object: string;
+  created?: number;
+  owned_by?: string;
+  name?: string;
+}
+
+export interface OpenAIListModelsResponse {
+  data: OpenAIModel[];
+}
+
+export interface OpenAIChatCompletionRequest {
+  model: string;
+  messages: OpenAIChatMessage[];
+  temperature?: number;
+  top_p?: number;
+  max_tokens?: number;
+  stream?: boolean;
+}
+
+export interface OpenAIChatCompletionChoice {
+  index: number;
+  message?: { role: OpenAIRole; content: string };
+  delta?: { role?: OpenAIRole; content?: string };
+  finish_reason?: string | null;
+}
+
+export interface OpenAIChatCompletionResponse {
+  id?: string;
+  object?: string;
+  created?: number;
+  model?: string;
+  choices: OpenAIChatCompletionChoice[];
+}
+
+function getHeaders(apiKey?: string) {
+  const headers: Record<string, string> = {
+    'Content-Type': 'application/json'
+  };
+  if (apiKey) {
+    const trimmed = apiKey.trim();
+    // Accept either raw token or "Bearer xxx".
+    headers.Authorization = /^bearer\s+/i.test(trimmed)
+      ? trimmed
+      : `Bearer ${trimmed}`;
+  }
+  return headers;
+}
+
+function normalizeBaseURL(baseURL: string) {
+  return baseURL.replace(/\/+$/, '');
+}
+
+export async function listModels(opts?: { apiKey?: string; baseURL?: string }) {
+  const baseURL = normalizeBaseURL(opts?.baseURL ?? AI_API_URL);
+  const res = await fetch(`${baseURL}/models`, {
+    method: 'GET',
+    headers: getHeaders(opts?.apiKey)
+  });
+  if (!res.ok) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `listModels failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+  return (await res.json()) as OpenAIListModelsResponse;
+}
+
+export async function chatCompletions(
+  body: OpenAIChatCompletionRequest,
+  opts?: { apiKey?: string; baseURL?: string; signal?: AbortSignal }
+) {
+  const baseURL = normalizeBaseURL(opts?.baseURL ?? AI_API_URL);
+  const res = await fetch(`${baseURL}/chat/completions`, {
+    method: 'POST',
+    headers: getHeaders(opts?.apiKey),
+    body: JSON.stringify(body),
+    signal: opts?.signal
+  });
+  if (!res.ok) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `chatCompletions failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+  return (await res.json()) as OpenAIChatCompletionResponse;
+}
+
+/**
+ * Stream OpenAI-compatible SSE (`stream: true`) and emit incremental tokens.
+ * Most gateways (Open-WebUI / LiteLLM / Ollama OpenAI proxy) follow:
+ *   data: { choices: [{ delta: { content: "..." } }] }
+ *   data: [DONE]
+ */
+export async function chatCompletionsStream(
+  body: Omit<OpenAIChatCompletionRequest, 'stream'>,
+  opts: {
+    apiKey?: string;
+    baseURL?: string;
+    signal?: AbortSignal;
+    onDelta: (text: string) => void;
+    onDone?: () => void;
+  }
+) {
+  const baseURL = normalizeBaseURL(opts.baseURL ?? AI_API_URL);
+  const res = await fetch(`${baseURL}/chat/completions`, {
+    method: 'POST',
+    headers: getHeaders(opts.apiKey),
+    body: JSON.stringify({ ...body, stream: true }),
+    signal: opts.signal
+  });
+
+  if (!res.ok || !res.body) {
+    const text = await res.text().catch(() => '');
+    throw new Error(
+      `chatCompletionsStream failed: ${res.status} ${res.statusText}${text ? ` - ${text}` : ''}`
+    );
+  }
+
+  const reader = res.body.getReader();
+  const decoder = new TextDecoder('utf-8');
+  let buffer = '';
+
+  while (true) {
+    const { value, done } = await reader.read();
+    if (done) break;
+    buffer += decoder.decode(value, { stream: true });
+
+    // SSE events are separated by blank lines.
+    let idx = buffer.indexOf('\n\n');
+    while (idx !== -1) {
+      const rawEvent = buffer.slice(0, idx);
+      buffer = buffer.slice(idx + 2);
+      idx = buffer.indexOf('\n\n');
+
+      const lines = rawEvent
+        .split('\n')
+        .map((l) => l.trim())
+        .filter(Boolean);
+      for (const line of lines) {
+        if (!line.startsWith('data:')) continue;
+        const data = line.slice(5).trim();
+        if (!data) continue;
+        if (data === '[DONE]') {
+          opts.onDone?.();
+          return;
+        }
+        try {
+          const json = JSON.parse(data) as OpenAIChatCompletionResponse;
+          const delta = json.choices?.[0]?.delta?.content;
+          if (delta) {
+            opts.onDelta(delta);
+          }
+        } catch {
+          // Ignore malformed chunks
+        }
+      }
+    }
+  }
+
+  opts.onDone?.();
+}
diff --git a/src/config/setting.ts b/src/config/setting.ts
index 0b11d7c..849db15 100644
--- a/src/config/setting.ts
+++ b/src/config/setting.ts
@@ -16,6 +16,18 @@ export const MODULES_API_URL =
 export const FILE_SERVER =
   import.meta.env.VITE_FILE_SERVER || 'https://your-file-server.com';
 
+// OpenAI-compatible gateway (Ollama/Open-WebUI/LiteLLM etc.)
+export const AI_API_URL =
+  import.meta.env.VITE_AI_API_URL ||
+  // Prefer same-origin reverse proxy during local development to avoid CORS.
+  (import.meta.env.DEV ? '/ai-proxy' : 'https://ai-api.websoft.top/api/v1');
+
+// Ollama native API endpoint (usually http://host:11434).
+// Note: browsers cannot call http from an https site (mixed-content); prefer same-origin proxy.
+export const OLLAMA_API_URL =
+  import.meta.env.VITE_OLLAMA_API_URL ||
+  (import.meta.env.DEV ? '/ollama-proxy' : 'http://47.119.165.234:11434');
+
 /**
  * 以下配置一般不需要修改
  */
diff --git a/src/router/routes.ts b/src/router/routes.ts
index 1890cc6..08fec94 100644
--- a/src/router/routes.ts
+++ b/src/router/routes.ts
@@ -60,6 +60,12 @@ export const routes = [
     component: () => import('@/views/led/index.vue'),
     meta: { title: '医生出诊信息表' }
   },
+  // AI 测试页面（无需菜单即可访问，登录后直接打开 /ai-test）
+  {
+    path: '/ai-test',
+    component: () => import('@/views/ai/index.vue'),
+    meta: { title: 'AI 测试' }
+  },
   // {
   //   path: '/forget',
   //   component: () => import('@/views/passport/forget/index.vue'),
diff --git a/src/views/ai/index.vue b/src/views/ai/index.vue
new file mode 100644
index 0000000..9836114
--- /dev/null
+++ b/src/views/ai/index.vue
@@ -0,0 +1,358 @@
+<script setup lang="ts">
+  import { computed, onBeforeUnmount, ref, watch } from 'vue';
+  import { message } from 'ant-design-vue';
+  import {
+    chatCompletions,
+    chatCompletionsStream,
+    listModels,
+    type OpenAIChatMessage,
+    type OpenAIModel
+  } from '@/api/ai/openai';
+  import { AI_API_URL, OLLAMA_API_URL } from '@/config/setting';
+  import {
+    listOllamaModels,
+    ollamaChat,
+    ollamaChatStream,
+    type OllamaChatMessage
+  } from '@/api/ai/ollama';
+
+  type Msg = OpenAIChatMessage;
+
+  type Provider = 'openai' | 'ollama';
+  const provider = ref<Provider>('ollama');
+
+  // Default to Ollama native API when provider is ollama.
+  const baseURL = ref(
+    provider.value === 'openai' ? AI_API_URL : OLLAMA_API_URL
+  );
+  const apiKey = ref<string>('');
+
+  const modelLoading = ref(false);
+  const models = ref<OpenAIModel[]>([]);
+  const modelId = ref<string>('');
+
+  const systemPrompt = ref<string>('你是一个有帮助的助手。');
+  const userPrompt = ref<string>('你好，介绍一下你能做什么。');
+
+  const temperature = ref<number>(0.7);
+  const stream = ref<boolean>(true);
+
+  const sending = ref(false);
+  const assistantText = ref<string>('');
+  const errorText = ref<string>('');
+
+  const history = ref<Msg[]>([]);
+  const historyJson = computed(() => JSON.stringify(history.value, null, 2));
+
+  const canSend = computed(() => {
+    return !!modelId.value && !!userPrompt.value.trim() && !sending.value;
+  });
+
+  const abortController = ref<AbortController | null>(null);
+
+  const stop = () => {
+    abortController.value?.abort();
+    abortController.value = null;
+    sending.value = false;
+  };
+
+  const loadModels = async () => {
+    modelLoading.value = true;
+    errorText.value = '';
+    try {
+      if (provider.value === 'openai') {
+        if (!baseURL.value.trim()) {
+          baseURL.value = AI_API_URL;
+        }
+        const res = await listModels({
+          baseURL: baseURL.value.trim() || AI_API_URL,
+          apiKey: apiKey.value.trim() || undefined
+        });
+        models.value = res.data ?? [];
+        if (!modelId.value && models.value.length) {
+          modelId.value = models.value[0].id;
+        }
+      } else {
+        if (!baseURL.value.trim()) {
+          baseURL.value = OLLAMA_API_URL;
+        }
+        const res = await listOllamaModels({
+          baseURL: baseURL.value.trim() || OLLAMA_API_URL
+        });
+        models.value = (res.models ?? []).map((m) => ({
+          id: m.name,
+          name: m.name,
+          object: 'model'
+        }));
+        if (!modelId.value && models.value.length) {
+          modelId.value = models.value[0].id;
+        }
+      }
+    } catch (e: any) {
+      errorText.value = e?.message ?? String(e);
+      if (
+        provider.value === 'openai' &&
+        String(errorText.value).includes('401')
+      ) {
+        message.error(
+          '未认证(401)：请填写 API Key，或在本地用 AI_API_KEY 通过 /ai-proxy 注入'
+        );
+      } else {
+        message.error('加载模型列表失败');
+      }
+    } finally {
+      modelLoading.value = false;
+    }
+  };
+
+  const clearChat = () => {
+    history.value = [];
+    assistantText.value = '';
+    errorText.value = '';
+  };
+
+  const send = async () => {
+    if (!canSend.value) return;
+
+    sending.value = true;
+    assistantText.value = '';
+    errorText.value = '';
+
+    const system: Msg = { role: 'system', content: systemPrompt.value.trim() };
+    const user: Msg = { role: 'user', content: userPrompt.value.trim() };
+    const messages: Msg[] = [
+      ...(system.content ? [system] : []),
+      ...history.value,
+      user
+    ];
+
+    const controller = new AbortController();
+    abortController.value = controller;
+
+    try {
+      if (provider.value === 'openai') {
+        if (stream.value) {
+          await chatCompletionsStream(
+            {
+              model: modelId.value,
+              messages,
+              temperature: temperature.value
+            },
+            {
+              baseURL: baseURL.value.trim() || AI_API_URL,
+              apiKey: apiKey.value.trim() || undefined,
+              signal: controller.signal,
+              onDelta: (t) => {
+                assistantText.value += t;
+              }
+            }
+          );
+        } else {
+          const res = await chatCompletions(
+            {
+              model: modelId.value,
+              messages,
+              temperature: temperature.value
+            },
+            {
+              baseURL: baseURL.value.trim() || AI_API_URL,
+              apiKey: apiKey.value.trim() || undefined,
+              signal: controller.signal
+            }
+          );
+          assistantText.value = res.choices?.[0]?.message?.content ?? '';
+        }
+      } else {
+        const ollamaMessages: OllamaChatMessage[] = messages.map((m) => ({
+          role: m.role as any,
+          content: m.content
+        }));
+        if (stream.value) {
+          await ollamaChatStream(
+            {
+              model: modelId.value,
+              messages: ollamaMessages,
+              options: { temperature: temperature.value }
+            },
+            {
+              baseURL: baseURL.value.trim() || OLLAMA_API_URL,
+              signal: controller.signal,
+              onDelta: (t) => {
+                assistantText.value += t;
+              }
+            }
+          );
+        } else {
+          const res = await ollamaChat(
+            {
+              model: modelId.value,
+              messages: ollamaMessages,
+              options: { temperature: temperature.value }
+            },
+            {
+              baseURL: baseURL.value.trim() || OLLAMA_API_URL,
+              signal: controller.signal
+            }
+          );
+          assistantText.value = res.message?.content ?? '';
+        }
+      }
+
+      history.value = [
+        ...messages,
+        { role: 'assistant', content: assistantText.value }
+      ];
+      userPrompt.value = '';
+    } catch (e: any) {
+      // Abort is expected when clicking "Stop".
+      if (e?.name !== 'AbortError') {
+        errorText.value = e?.message ?? String(e);
+        message.error('请求失败（可能是 CORS 或鉴权问题）');
+      }
+    } finally {
+      sending.value = false;
+      abortController.value = null;
+    }
+  };
+
+  const modelOptions = computed(() => {
+    return models.value.map((m) => ({
+      label: m.name ?? m.id,
+      value: m.id
+    }));
+  });
+
+  // Load once for convenience; if the gateway blocks CORS you can still paste output from curl.
+  loadModels();
+
+  watch(
+    () => provider.value,
+    (p) => {
+      stop();
+      clearChat();
+      models.value = [];
+      modelId.value = '';
+      errorText.value = '';
+      baseURL.value = p === 'openai' ? AI_API_URL : OLLAMA_API_URL;
+      loadModels();
+    }
+  );
+
+  onBeforeUnmount(() => {
+    stop();
+  });
+</script>
+
+<template>
+  <div class="ele-body ele-body-card">
+    <a-card :bordered="false" :body-style="{ padding: '16px' }">
+      <a-space direction="vertical" style="width: 100%" :size="12">
+        <a-alert
+          type="info"
+          show-icon
+          message="AI 助手"
+          description="支持Qwen3.5、DeepSeek、Gemini3等主流的开源大模型，免费使用"
+        />
+
+        <a-row :gutter="12">
+          <!--          <a-col :xs="24" :md="6">-->
+          <!--            <a-select-->
+          <!--              v-model:value="provider"-->
+          <!--              :options="[-->
+          <!--                { label: 'OpenAI兼容(/v1)', value: 'openai' },-->
+          <!--                { label: 'Ollama原生(/api)', value: 'ollama' }-->
+          <!--              ]"-->
+          <!--              style="width: 100%"-->
+          <!--            />-->
+          <!--          </a-col>-->
+          <!--          <a-col :xs="24" :md="12">-->
+          <!--            <a-input-->
+          <!--              v-model:value="baseURL"-->
+          <!--              addon-before="BaseURL"-->
+          <!--              placeholder="https://ai-api.websoft.top/api/v1"-->
+          <!--            />-->
+          <!--          </a-col>-->
+          <a-col :xs="24" :md="12" v-if="provider === 'openai'">
+            <a-input-password
+              v-model:value="apiKey"
+              addon-before="API Key"
+              placeholder="可选（不建议在前端保存）"
+            />
+          </a-col>
+        </a-row>
+
+        <a-row :gutter="12">
+          <a-col :xs="24" :md="12">
+            <a-select
+              v-model:value="modelId"
+              :options="modelOptions"
+              :loading="modelLoading"
+              placeholder="选择模型"
+              style="width: 100%"
+            />
+          </a-col>
+          <a-col :xs="24" :md="12">
+            <a-space>
+              <a-button :loading="modelLoading" @click="loadModels"
+                >刷新模型</a-button
+              >
+              <span>流式</span>
+              <a-switch v-model:checked="stream" />
+              <span>温度</span>
+              <a-input-number
+                v-model:value="temperature"
+                :min="0"
+                :max="2"
+                :step="0.1"
+              />
+            </a-space>
+          </a-col>
+        </a-row>
+
+        <!--        <a-textarea-->
+        <!--          v-model:value="systemPrompt"-->
+        <!--          :auto-size="{ minRows: 2, maxRows: 6 }"-->
+        <!--          placeholder="System Prompt（可选）"-->
+        <!--        />-->
+
+        <a-textarea
+          v-model:value="userPrompt"
+          :auto-size="{ minRows: 3, maxRows: 10 }"
+          placeholder="输入要问的问题..."
+          @pressEnter.exact.prevent="send"
+        />
+
+        <a-space>
+          <a-button
+            type="primary"
+            :disabled="!canSend"
+            :loading="sending"
+            @click="send"
+            >发送</a-button
+          >
+          <a-button v-if="sending" danger @click="stop">停止</a-button>
+          <a-button @click="clearChat">清空</a-button>
+        </a-space>
+        <a-alert v-if="errorText" type="error" show-icon :message="errorText" />
+
+        <a-divider>输出</a-divider>
+        <a-card size="small" :bordered="true">
+          <pre class="output">{{ assistantText }}</pre>
+        </a-card>
+
+        <!--        <a-divider>历史（最后一次请求）</a-divider>-->
+        <!--        <a-card size="small" :bordered="true">-->
+        <!--          <pre class="output">{{ historyJson }}</pre>-->
+        <!--        </a-card>-->
+      </a-space>
+    </a-card>
+  </div>
+</template>
+
+<style scoped lang="less">
+  .output {
+    margin: 0;
+    white-space: pre-wrap;
+    word-break: break-word;
+  }
+</style>
diff --git a/vite.config.ts b/vite.config.ts
index 2401645..a4d60a1 100644
--- a/vite.config.ts
+++ b/vite.config.ts
@@ -1,4 +1,4 @@
-import { defineConfig } from 'vite';
+import { defineConfig, loadEnv } from 'vite';
 import vue from '@vitejs/plugin-vue';
 import ViteCompression from 'vite-plugin-compression';
 import ViteComponents from 'unplugin-vue-components/vite';
@@ -44,7 +44,9 @@ function getSmartPort() {
   }
 }
 
-export default defineConfig(({ command }) => {
+export default defineConfig(({ command, mode }) => {
+  // Load env for Vite config usage (including non-VITE_ keys like AI_API_KEY).
+  const env = loadEnv(mode, process.cwd(), '');
   const isBuild = command === 'build';
 
   // 智能端口配置（仅在开发模式下）
@@ -68,7 +70,7 @@ export default defineConfig(({ command }) => {
       // 代理配置
       proxy: {
         '/api': {
-          target: process.env.VITE_API_URL || 'https://server.websoft.top',
+          target: env.VITE_API_URL || process.env.VITE_API_URL || 'https://server.websoft.top',
           changeOrigin: true,
           secure: false,
           configure: (proxy, _options) => {
@@ -82,6 +84,39 @@ export default defineConfig(({ command }) => {
               console.log('Received Response from the Target:', proxyRes.statusCode, req.url);
             });
           },
+        },
+        // OpenAI-compatible gateway reverse proxy (dev only).
+        // Example:
+        //   GET  /ai-proxy/models          -> https://ai.websoft.top/api/v1/models
+        //   POST /ai-proxy/chat/completions -> https://ai.websoft.top/api/v1/chat/completions
+        '/ai-proxy': {
+          target: env.AI_PROXY_TARGET || 'https://ai-api.websoft.top',
+          changeOrigin: true,
+          secure: false,
+          rewrite: (path) =>
+            path.replace(/^\/ai-proxy/, env.AI_PROXY_REWRITE_PREFIX || '/api/v1'),
+          configure: (proxy) => {
+            proxy.on('proxyReq', (proxyReq) => {
+              // Inject auth for local dev to avoid putting API keys in the browser.
+              const key = env.AI_API_KEY || process.env.AI_API_KEY;
+              if (key && !proxyReq.getHeader('Authorization')) {
+                const trimmed = String(key).trim();
+                const value = /^bearer\\s+/i.test(trimmed)
+                  ? trimmed
+                  : `Bearer ${trimmed}`;
+                proxyReq.setHeader('Authorization', value);
+              }
+            });
+          }
+        },
+        // Ollama native API reverse proxy (dev only).
+        //   GET  /ollama-proxy/api/tags -> http://47.119.165.234:11434/api/tags
+        //   POST /ollama-proxy/api/chat -> http://47.119.165.234:11434/api/chat
+        '/ollama-proxy': {
+          target: 'http://47.119.165.234:11434',
+          changeOrigin: true,
+          secure: false,
+          rewrite: (path) => path.replace(/^\/ollama-proxy/, '')
         }
       },
       // 端口冲突时的处理