feat: 封装一些函数，补充页面样式

Co-authored-by: Copilot <copilot@github.com>

server/utils/openai.ts

@@ -0,0 +1,104 @@
+// server/utils/openai.ts
+import OpenAI from "openai";
+import type { BaseOptions } from "#shared/types/openai";
+
+/** 通用 AI 调用函数（支持文本 / 图文 / 多模态） */
+export const askAI = async ({
+  apiKey,
+  model,
+  baseURL,
+  input
+}: BaseOptions & {
+  input: OpenAI.Responses.ResponseCreateParams["input"];
+}) => {
+  const client = new OpenAI({ apiKey, baseURL });
+
+  return await client.responses.create({
+    model,
+    input
+  });
+};
+
+/** 调用文本模型 */
+export const askText = async (
+  options: BaseOptions & {
+    text: string;
+  }
+) => {
+  const res = await askAI({
+    ...options,
+    input: options.text
+  });
+
+  return res.output_text;
+};
+
+/**
+ * 调用视觉模型：输入「文本 + 图片」，输出文本
+ *
+ * 分辨率参数说明：
+ *
+ * | 值   | 含义                     |
+ * |------|--------------------------|
+ * | low  | 低分辨率（更快、更省成本） |
+ * | high | 高分辨率（更精准）         |
+ * | auto | 自动选择           |
+ *
+ */
+export const askVision = async (
+  options: BaseOptions & {
+    text: string;
+    image: string;
+    detail?: "low" | "high" | "auto";
+  }
+) => {
+  // 如果图片不是 URL，也不是 data URL，就当成 base64 处理，自动补全 data URL 前缀
+  const normalizeImage = (img: string) => {
+    if (img.startsWith("http")) return img;
+    if (!img.startsWith("data:")) {
+      return `data:image/png;base64,${img}`;
+    }
+    return img;
+  };
+
+  const res = await askAI({
+    ...options,
+    input: [
+      {
+        role: "user",
+        content: [
+          {
+            type: "input_text",
+            text: options.text
+          },
+          {
+            type: "input_image",
+            image_url: normalizeImage(options.image),
+            detail: options.detail || "auto"
+          }
+        ]
+      }
+    ]
+  });
+
+  return res.output_text;
+};
+
+/** 调用流式接口 */
+export const askStream = async (
+  options: BaseOptions & {
+    input: OpenAI.Responses.ResponseCreateParams["input"];
+  }
+) => {
+  const client = new OpenAI({
+    apiKey: options.apiKey,
+    baseURL: options.baseURL
+  });
+
+  const stream = await client.responses.stream({
+    model: options.model,
+    input: options.input
+  });
+
+  return stream;
+};