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README.md

@@ -260,12 +260,6 @@ pm2 monit             # 监控面板
      yarn dev #端口60000
      ```
 
-   - 使用 Bun 快速运行开发服务：
-
-     ```bash
-     yarn bun:dev #端口60000
-     ```
-
 4. **项目打包**
 
    - 编译并生成 TypeScript 文件：

package.json

@@ -22,13 +22,19 @@
     "license": "bun run scripts/license.ts"
   },
   "dependencies": {
+    "@ai-sdk/anthropic": "^3.0.35",
+    "@ai-sdk/deepseek": "^2.0.17",
+    "@ai-sdk/google": "^3.0.20",
+    "@ai-sdk/openai": "^3.0.25",
     "@aigne/core": "^1.72.0",
     "@aigne/openai": "^0.16.16",
     "@langchain/core": "^1.1.15",
     "@langchain/openai": "^1.2.1",
     "@rmp135/sql-ts": "^2.2.0",
+    "ai": "^6.0.67",
     "axios": "^1.13.2",
     "axios-retry": "^4.5.0",
+    "best-effort-json-parser": "^1.2.1",
     "better-sqlite3": "^12.6.2",
     "cors": "^2.8.5",
     "dotenv": "^17.2.3",
@@ -42,8 +48,10 @@
     "knex": "^3.1.0",
     "langchain": "^1.2.10",
     "morgan": "^1.10.1",
+    "qwen-ai-provider": "^0.1.1",
     "sharp": "^0.34.5",
     "sqlite3": "^5.1.7",
+    "zhipu-ai-provider": "^0.2.2",
     "zod": "^4.3.5"
   },
   "devDependencies": {

src/agents/storyboard/generateImageTool.ts

@@ -115,19 +115,91 @@ async function mergeImages(imagePaths: string[]): Promise<Buffer> {
   return compressImage(mergedImage);
 }
 
-// 处理图片列表，确保不超过10张且每张不超过3MB
+// 进一步压缩单张图片到指定大小
+async function compressToSize(buffer: Buffer, targetSize: number): Promise<Buffer> {
+  if (buffer.length <= targetSize) {
+    return buffer;
+  }
+
+  const metadata = await sharp(buffer).metadata();
+  let quality = 80;
+  let scale = 1.0;
+  let compressedBuffer = buffer;
+
+  // 先尝试降低质量
+  while (compressedBuffer.length > targetSize && quality > 10) {
+    compressedBuffer = await sharp(buffer).jpeg({ quality }).toBuffer();
+    quality -= 10;
+  }
+
+  // 如果还是太大，缩小尺寸
+  while (compressedBuffer.length > targetSize && scale > 0.2) {
+    scale -= 0.1;
+    const newWidth = Math.round((metadata.width || 1000) * scale);
+    const newHeight = Math.round((metadata.height || 1000) * scale);
+    compressedBuffer = await sharp(buffer)
+      .resize(newWidth, newHeight, { fit: "inside" })
+      .jpeg({ quality: Math.max(quality, 20) })
+      .toBuffer();
+  }
+
+  return compressedBuffer;
+}
+
+// 确保图片列表总大小不超过指定限制
+async function ensureTotalSizeLimit(buffers: Buffer[], maxTotalBytes: number = 10 * 1024 * 1024): Promise<Buffer[]> {
+  let totalSize = buffers.reduce((sum, buf) => sum + buf.length, 0);
+
+  if (totalSize <= maxTotalBytes) {
+    return buffers;
+  }
+
+  // 计算每张图片的平均目标大小
+  const avgTargetSize = Math.floor(maxTotalBytes / buffers.length);
+
+  // 按大小降序排列，优先压缩大图片
+  const indexedBuffers = buffers.map((buf, idx) => ({ buf, idx, size: buf.length }));
+  indexedBuffers.sort((a, b) => b.size - a.size);
+
+  const result = [...buffers];
+
+  for (const item of indexedBuffers) {
+    totalSize = result.reduce((sum, buf) => sum + buf.length, 0);
+    if (totalSize <= maxTotalBytes) {
+      break;
+    }
+
+    // 计算这张图片需要压缩到的目标大小
+    const excessSize = totalSize - maxTotalBytes;
+    const targetSize = Math.max(item.buf.length - excessSize, avgTargetSize, 100 * 1024); // 最小100KB
+
+    if (item.buf.length > targetSize) {
+      result[item.idx] = await compressToSize(item.buf, targetSize);
+    }
+  }
+
+  return result;
+}
+
+// 处理图片列表，确保不超过10张且每张不超过3MB，总大小不超过10MB
 async function processImages(images: ImageInfo[]): Promise<Buffer[]> {
   const maxImages = 10;
+  let processedBuffers: Buffer[];
+
   if (images.length <= maxImages) {
     const buffers = await Promise.all(images.map((img) => u.oss.getFile(img.filePath)));
-    return Promise.all(buffers.map((buffer) => compressImage(buffer)));
+    processedBuffers = await Promise.all(buffers.map((buffer) => compressImage(buffer)));
-  }
+  } else {
     const mergeStartIndex = maxImages - 1;
     const firstBuffers = await Promise.all(images.slice(0, mergeStartIndex).map((img) => u.oss.getFile(img.filePath)));
     const compressedFirstImages = await Promise.all(firstBuffers.map((buffer) => compressImage(buffer)));
     const imagesToMergeList = images.slice(mergeStartIndex).map((img) => img.filePath);
     const mergedImage = await mergeImages(imagesToMergeList);
-  return [...compressedFirstImages, mergedImage];
+    processedBuffers = [...compressedFirstImages, mergedImage];
+  }
+
+  // 确保总大小不超过10MB
+  return ensureTotalSizeLimit(processedBuffers);
 }
 
 // 使用 AI 过滤与分镜相关的资产

src/lib/fixDB.ts

@@ -1,13 +1,17 @@
 import { Knex } from "knex";
 
 export default async (knex: Knex): Promise<void> => {
-  const hasTime = await knex.schema.hasColumn("t_video", "time");
+  const videoHasTime = await knex.schema.hasColumn("t_video", "time");
-  if (!hasTime) {
+  if (!videoHasTime) {
     await knex.schema.alterTable("t_video", (table) => {
       table.integer("time");
     });
-    console.log("字段 'time' 已添加到 t_video 表");
+  }
-  } else {
+
-    console.log("t_video 表已存在 'time' 字段");
+  const configHasIndex = await knex.schema.hasColumn("t_config", "index");
+  if (configHasIndex) {
+    await knex.schema.alterTable("t_config", (table) => {
+      table.dropColumn("index");
+    });
   }
 };

src/routes/other/testAI.ts

@@ -1,12 +1,14 @@
 import express from "express";
 import { success, error } from "@/lib/responseFormat";
-import { createAgent } from "langchain";
-import { openAI } from "@/agents/models";
-import { OpenAIChatModel, type OpenAIChatModelOptions } from "@aigne/openai";
 import { validateFields } from "@/middleware/middleware";
+import u from "@/utils";
 import { z } from "zod";
+import { generateText, Output, tool, stepCountIs } from "ai";
 const router = express.Router();
 
+import { createOpenAI } from "@ai-sdk/openai";
+import { createDeepSeek } from "@ai-sdk/deepseek";
+
 // 检查语言模型
 export default router.post(
   "/",
@@ -17,24 +19,42 @@ export default router.post(
   }),
   async (req, res) => {
     const { modelName, apiKey, baseURL } = req.body;
-    const ai = new OpenAIChatModel({
+
-      apiKey: apiKey,
+    const getWeatherTool = tool({
-      baseURL: baseURL,
+      // strict: true,
-      model: modelName,
+      description: "Get the weather in a location",
-      modelOptions: { temperature: 0.7 },
+      inputSchema: z.object({
+        location: z.string().describe("The location to get the weather for"),
+      }),
+      execute: async ({ location }) => {
+        return {
+          location,
+          temperature: 72 + Math.floor(Math.random() * 21) - 10,
+        };
+      },
     });
     try {
-      const data = await ai.invoke({
+      const { reply } = await u.ai.text.invoke(
-        messages: [
         {
-            role: "user",
+          prompt: "请调用工具获取北京的天气，并回答我多少气温",
-            content: "hello",
+          tools: { getWeatherTool },
+          output: {
+            reply: z.string().describe("回复内容"),
           },
-        ],
+        },
-      });
+        {
-      res.status(200).send(success(data));
+          model: modelName,
-    } catch (err: any) {
+          apiKey,
-      res.status(500).send(error(err.error.message || "模型调用失败"));
+          baseURL,
+        },
+      );
+      console.log("%c Line:52 🍐 reply", "background:#ffdd4d", reply);
+      res.status(200).send(success(reply));
+    } catch (err) {
+      console.log(err);
+      if (typeof err === "string") return res.status(500).send(error(err));
+      const msg = err instanceof Error ? err.message : (err as any)?.error?.message;
+      return res.status(500).send(error(msg || "未知错误"));
     }
   },
 );

src/routes/other/testImage.ts

@@ -1,9 +1,6 @@
 import express from "express";
 import { success, error } from "@/lib/responseFormat";
 import u from "@/utils";
-import { createAgent } from "langchain";
-import { openAI } from "@/agents/models";
-import { OpenAIChatModel, type OpenAIChatModelOptions } from "@aigne/openai";
 import { validateFields } from "@/middleware/middleware";
 import { z } from "zod";
 const router = express.Router();

src/routes/setting/getSetting.ts

@@ -15,7 +15,7 @@ export default router.post(
 
     const settingData = await u.db("t_setting").select("*");
 
-    const configData = await u.db("t_config").where("userId", userId).select("*").orderBy("index", "asc");
+    const configData = await u.db("t_config").where("userId", userId).select("*") ;
 
     const parsedData = settingData.map((item) => ({
       ...item,

src/utils.ts

@@ -1,16 +1,20 @@
 import db from "@/utils/db";
 import oss from "@/utils/oss";
-import * as ai from "@/utils/ai";
+// import * as ai from "@/utils/ai";
 import editImage from "@/utils/editImage";
 import number2Chinese from "@/utils/number2Chinese";
 import deleteOutline from "@/utils/deleteOutline";
 import getConfig from "./utils/getConfig";
 import { v4 as uuid } from "uuid";
 
+import AIText from "@/utils/ai/text";
+
 export default {
   db,
   oss,
-  ai,
+  ai: {
+    text: AIText,
+  },
   editImage,
   number2Chinese,
   deleteOutline,

src/utils/ai/modelList.ts

@@ -0,0 +1,414 @@
+import { createOpenAI } from "@ai-sdk/openai";
+import { createDeepSeek } from "@ai-sdk/deepseek";
+import { createZhipu } from "zhipu-ai-provider";
+import { createQwen } from "qwen-ai-provider";
+import { createGoogleGenerativeAI } from "@ai-sdk/google";
+import { createAnthropic } from "@ai-sdk/anthropic";
+
+interface Owned {
+  manufacturer: string;
+  model: string;
+  responseFormat: "schema" | "object";
+  image: boolean;
+  think: boolean;
+  tool: boolean;
+  instance:
+    | typeof createOpenAI
+    | typeof createDeepSeek
+    | typeof createZhipu
+    | typeof createQwen
+    | typeof createGoogleGenerativeAI
+    | typeof createAnthropic;
+}
+
+const modelList: Owned[] = [
+  // DeepSeek
+  {
+    manufacturer: "deepseek",
+    model: "deepseek-chat",
+    responseFormat: "schema",
+    image: false,
+    think: false,
+    instance: createDeepSeek,
+    tool: true,
+  },
+  {
+    manufacturer: "deepseek",
+    model: "deepseek-reasoner",
+    responseFormat: "schema",
+    image: false,
+    think: true,
+    instance: createDeepSeek,
+    tool: true,
+  },
+
+  // 豆包
+  {
+    manufacturer: "doubao",
+    model: "doubao-seed-1-8",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "doubao",
+    model: "doubao-seed-1-6",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "doubao",
+    model: "doubao-seed-1-6-lite",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "doubao",
+    model: "doubao-seed-1-6-flash",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createOpenAI,
+    tool: true,
+  },
+  // GLM
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.7",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.7-flashx",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.6",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.5-air",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.5-airx",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4-long",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4-flashx-250414",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.7-flash",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.5-flash",
+    responseFormat: "object",
+    image: false,
+    think: true,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4-flash-250414",
+    responseFormat: "object",
+    image: false,
+    think: false,
+    instance: createZhipu,
+    tool: true,
+  },
+  {
+    manufacturer: "zhipu",
+    model: "glm-4.6v",
+    responseFormat: "object",
+    image: true,
+    think: true,
+    instance: createZhipu,
+    tool: true,
+  },
+  // Qwen
+  {
+    manufacturer: "qwen",
+    model: "qwen-vl-max",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen-plus-latest",
+    responseFormat: "schema",
+    image: false,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen-max",
+    responseFormat: "schema",
+    image: false,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen2.5-72b-instruct",
+    responseFormat: "schema",
+    image: false,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen2.5-14b-instruct-1m",
+    responseFormat: "schema",
+    image: false,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen2.5-vl-72b-instruct",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  // OpenAI
+  {
+    manufacturer: "openai",
+    model: "gpt-4o",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "openai",
+    model: "gpt-4o-mini",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "openai",
+    model: "gpt-4.1",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "openai",
+    model: "gpt-5.1",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
+  {
+    manufacturer: "openai",
+    model: "gpt-5.2",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
+
+  // Gemini
+  {
+    manufacturer: "google",
+    model: "gemini-2.5-pro",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  {
+    manufacturer: "google",
+    model: "gemini-2.5-flash",
+    responseFormat: "schema",
+    image: true,
+    think: true,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  {
+    manufacturer: "google",
+    model: "gemini-2.0-flash",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  {
+    manufacturer: "google",
+    model: "gemini-2.0-flash-lite",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  {
+    manufacturer: "google",
+    model: "gemini-1.5-pro",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  {
+    manufacturer: "google",
+    model: "gemini-1.5-flash",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createGoogleGenerativeAI,
+    tool: true,
+  },
+  // Anthropic (Claude)
+  {
+    manufacturer: "anthropic",
+    model: "claude-opus-4-5",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-haiku-4-5",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-sonnet-4-5",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-opus-4-1",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-opus-4-0",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-sonnet-4-0",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-3-7-sonnet-latest",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+  {
+    manufacturer: "anthropic",
+    model: "claude-3-5-haiku-latest",
+    responseFormat: "schema",
+    image: true,
+    think: false,
+    instance: createAnthropic,
+    tool: true,
+  },
+];
+
+export default modelList;

src/utils/ai/text.ts

@@ -0,0 +1,88 @@
+import u from "@/utils";
+import { generateText, streamText, Output, stepCountIs, ModelMessage, LanguageModel, Tool, GenerateTextResult } from "ai";
+import { parse } from "best-effort-json-parser";
+import modelList from "./modelList";
+import { z } from "zod";
+
+interface AIInput<T extends Record<string, z.ZodTypeAny> | undefined = undefined> {
+  system?: string;
+  tools?: Record<string, Tool>;
+  maxStep?: number;
+  output?: T;
+  prompt?: string;
+  messages?: Array<ModelMessage>;
+}
+
+interface AIConfig {
+  model?: string;
+  apiKey?: string;
+  baseURL?: string;
+}
+
+const buildOptions = async (input: AIInput<any>, config: AIConfig) => {
+  const sqlTextModelConfig = await u.getConfig("text");
+  const { model, apiKey, baseURL } = { ...sqlTextModelConfig, ...config };
+
+  const owned = modelList.find((m) => m.model === model);
+  if (!owned) throw new Error("不支持的模型或厂商");
+
+  const modelInstance = owned.instance({ apiKey, baseURL });
+
+  const maxStep = input.maxStep ?? (input.tools ? Object.keys(input.tools).length * 5 : undefined);
+  const outputBuilders: Record<string, (schema: any) => any> = {
+    schema: (s) => Output.object({ schema: z.object(s) }),
+    object: () => {
+      const jsonSchemaPrompt = `\n请按照以下 JSON Schema 格式返回结果:\n${JSON.stringify(
+        z.toJSONSchema(z.object(input.output)),
+        null,
+        2,
+      )}\n只返回结果，不要将Schema返回。`;
+      input.system = (input.system ?? "") + jsonSchemaPrompt;
+      // return Output.json();
+    },
+  };
+
+  const output = input.output ? outputBuilders[owned.responseFormat]?.(input.output) ?? null : null;
+
+  return {
+    config: {
+      model: modelInstance(model) as LanguageModel,
+      ...(input.system && { system: input.system }),
+      ...(input.prompt ? { prompt: input.prompt } : { messages: input.messages! }),
+      ...(input.tools && owned.tool && { tools: input.tools }),
+      ...(maxStep && { stopWhen: stepCountIs(maxStep) }),
+      ...(output && { output }),
+    },
+    responseFormat: owned.responseFormat,
+  };
+};
+
+type InferOutput<T> = T extends Record<string, z.ZodTypeAny> ? z.infer<z.ZodObject<T>> : GenerateTextResult<Record<string, Tool>, never>;
+
+const ai = Object.create({}) as {
+  invoke<T extends Record<string, z.ZodTypeAny> | undefined = undefined>(input: AIInput<T>, config?: AIConfig): Promise<InferOutput<T>>;
+  stream(input: AIInput, config?: AIConfig): Promise<ReturnType<typeof streamText>>;
+};
+
+ai.invoke = async (input: AIInput<any>, config: AIConfig = {}) => {
+  const options = await buildOptions(input, config);
+  const result = await generateText(options.config);
+  if (options.responseFormat === "object" && input.output) {
+    const pattern = /{[^{}]*}|{(?:[^{}]*|{[^{}]*})*}/g;
+    const jsonLikeTexts = Array.from(result.text.matchAll(pattern), (m) => m[0]);
+
+    const res = jsonLikeTexts.map((jsonText) => parse(jsonText));
+    return res[0];
+  }
+  if (options.responseFormat === "schema" && input.output) {
+    return JSON.parse(result.text);
+  }
+  return result;
+};
+
+ai.stream = async (input: AIInput, config: AIConfig = {}) => {
+  const options = await buildOptions(input, config);
+  return streamText(options.config);
+};
+
+export default ai;

src/utils/getConfig copy.ts

@@ -0,0 +1,43 @@
+import u from "@/utils";
+
+// 只包含 t_setting 表里实际存在的字段
+const modelFields = {
+  image: "imageModel",
+  language: "languageModel",
+} as const;
+
+interface resData {
+  model: string;
+  apiKey: string;
+  baseURL: string;
+  manufacturer: "openAi" | "volcengine" | "runninghub" | "gemini" | "apimart";
+}
+
+type ModelType = keyof typeof modelFields;
+
+// 定义返回类型映射
+type ReturnType<T extends string> = T extends "video" ? resData[] : resData;
+
+// 主方法
+export default async function getConfig<T extends ModelType | "video">(type: T, manufacturer?: string): Promise<ReturnType<T>> {
+  if (type === "video") {
+    // 查询 t_config 表，返回数组
+    const configList = await u.db("t_config").where("manufacturer", manufacturer).orderBy("index", "asc");
+
+    return configList.map((i) => {
+      return {
+        ...i,
+        baseURL: i.baseUrl,
+      };
+    }) as ReturnType<T>;
+  }
+
+  // 只查询当前需要的字段
+  const modelName = modelFields[type as ModelType];
+  const data: Record<string, any> | undefined = await u.db("t_setting").where({ id: 1 }).select([modelName]).first();
+
+  if (!data) throw new Error("设置数据不存在");
+
+  // 字段值为 JSON 字符串，解析
+  return JSON.parse(data[modelName] || "{}") as ReturnType<T>;
+}

src/utils/getConfig.ts

@@ -1,44 +1,55 @@
 import u from "@/utils";
 
-// 只包含 t_setting 表里实际存在的字段
+type AIType = "text" | "image" | "video";
-const modelFields = {
-  image: "imageModel",
-  language: "languageModel",
-  doubao: "doubaoModel",
-} as const;
 
-interface resData {
+interface BaseConfig {
   model: string;
   apiKey: string;
+  manufacturer: string;
+}
+
+interface TextResData extends BaseConfig {
   baseURL: string;
-  manufacturer: "openAi" | "volcengine" | "runninghub" | "gemini" | "apimart";
+  manufacturer: "deepseek" | "openAi" | "doubao";
 }
 
-type ModelType = keyof typeof modelFields;
+interface ImageResData extends BaseConfig {
+  manufacturer: "openAi" | "gemini" | "volcengine" | "runninghub" | "apimart";
+}
 
-// 定义返回类型映射
+interface VideoResData extends BaseConfig {
-type ReturnType<T extends string> = T extends "video" ? resData[] : resData;
+  baseURL: string;
+  manufacturer: "openAi" | "volcengine" | "runninghub" | "apimart" | "confyUI";
+}
 
-// 主方法
+type ResDataMap = {
-export default async function getConfig<T extends ModelType | "video">(type: T, manufacturer?: string): Promise<ReturnType<T>> {
+  text: TextResData;
-  if (type === "video") {
+  image: ImageResData;
-    // 查询 t_config 表，返回数组
+  video: VideoResData;
-    const configList = await u.db("t_config").where("manufacturer", manufacturer).orderBy("index", "asc");
-
-    return configList.map((i) => {
-      return {
-        ...i,
-        baseURL: i.baseUrl,
 };
-    }) as ReturnType<T>;
+
+const errorMessages: Record<AIType, string> = {
+  text: "文本模型配置不存在",
+  image: "图像模型配置不存在",
+  video: "视频模型配置不存在",
+};
+
+const needBaseURL: AIType[] = ["text", "video"];
+
+export default async function getConfig<T extends AIType>(aiType: T): Promise<ResDataMap[T]> {
+  const config = await u.db("t_config").where("type", aiType).first();
+
+  if (!config) throw new Error(errorMessages[aiType]);
+
+  const result: BaseConfig = {
+    model: config?.model ?? "",
+    apiKey: config?.apiKey ?? "",
+    manufacturer: config?.manufacturer ?? "",
+  };
+
+  if (needBaseURL.includes(aiType)) {
+    return { ...result, baseURL: config.baseUrl } as ResDataMap[T];
   }
 
-  // 只查询当前需要的字段
+  return result as ResDataMap[T];
-  const modelName = modelFields[type as ModelType];
-  const data: Record<string, any> | undefined = await u.db("t_setting").where({ id: 1 }).select([modelName]).first();
-
-  if (!data) throw new Error("设置数据不存在");
-
-  // 字段值为 JSON 字符串，解析
-  return JSON.parse(data[modelName] || "{}") as ReturnType<T>;
 }

yarn.lock

@@ -7,6 +7,95 @@
   resolved "https://registry.npmmirror.com/7zip-bin/-/7zip-bin-5.2.0.tgz#7a03314684dd6572b7dfa89e68ce31d60286854d"
   integrity sha512-ukTPVhqG4jNzMro2qA9HSCSSVJN3aN7tlb+hfqYCt3ER0yWroeA2VR38MNrOHLQ/cVj+DaIMad0kFCtWWowh/A==
 
+"@ai-sdk/anthropic@^3.0.35":
+  version "3.0.35"
+  resolved "https://registry.npmmirror.com/@ai-sdk/anthropic/-/anthropic-3.0.35.tgz#334bf3f5415ebab77cf23d52f197b8027087821e"
+  integrity sha512-Y3g/5uVj621XSB9lGF7WrD7qR+orhV5xpaYkRF8kfj2j4W7e7BBGIvxcdsCf85FjJbc6tKQdNTZ84ZEqT3Y5TQ==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+
+"@ai-sdk/deepseek@^2.0.17":
+  version "2.0.17"
+  resolved "https://registry.npmmirror.com/@ai-sdk/deepseek/-/deepseek-2.0.17.tgz#14a8460d141d36fda08040074b887b2fab06948e"
+  integrity sha512-rkZiasQ24UyOMiZd8Mb7R+OF3Yt90bRQyfyzIkrb0zKZj7kU2h2z2nu1CO6j0X8poE+SZhEEaHOBFhRcp6hKVg==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+
+"@ai-sdk/gateway@3.0.32":
+  version "3.0.32"
+  resolved "https://registry.npmmirror.com/@ai-sdk/gateway/-/gateway-3.0.32.tgz#4738f75fc2eba7f245f77fd0dc139225a08c9c47"
+  integrity sha512-7clZRr07P9rpur39t1RrbIe7x8jmwnwUWI8tZs+BvAfX3NFgdSVGGIaT7bTz2pb08jmLXzTSDbrOTqAQ7uBkBQ==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+    "@vercel/oidc" "3.1.0"
+
+"@ai-sdk/google@^3.0.20":
+  version "3.0.20"
+  resolved "https://registry.npmmirror.com/@ai-sdk/google/-/google-3.0.20.tgz#608ec12a13371439a6a06992fb7e7d1d4d029432"
+  integrity sha512-bVGsulEr6JiipAFlclo9bjL5WaUV0iCSiiekLt+PY6pwmtJeuU2GaD9DoE3OqR8LN2W779mU13IhVEzlTupf8g==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+
+"@ai-sdk/openai@^3.0.25":
+  version "3.0.25"
+  resolved "https://registry.npmmirror.com/@ai-sdk/openai/-/openai-3.0.25.tgz#452c8f8ed597468048569ec9476a0b5641888d2a"
+  integrity sha512-DsaN46R98+D1W3lU3fKuPU3ofacboLaHlkAwxJPgJ8eup1AJHmPK1N1y10eJJbJcF6iby8Tf/vanoZxc9JPUfw==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+
+"@ai-sdk/provider-utils@4.0.13":
+  version "4.0.13"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-4.0.13.tgz#d2240b0c4d701eef8a4273ade71585a691e34e04"
+  integrity sha512-HHG72BN4d+OWTcq2NwTxOm/2qvk1duYsnhCDtsbYwn/h/4zeqURu1S0+Cn0nY2Ysq9a9HGKvrYuMn9bgFhR2Og==
+  dependencies:
+    "@ai-sdk/provider" "3.0.7"
+    "@standard-schema/spec" "^1.1.0"
+    eventsource-parser "^3.0.6"
+
+"@ai-sdk/provider-utils@^2.1.6":
+  version "2.2.8"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-2.2.8.tgz#ad11b92d5a1763ab34ba7b5fc42494bfe08b76d1"
+  integrity sha512-fqhG+4sCVv8x7nFzYnFo19ryhAa3w096Kmc3hWxMQfW/TubPOmt3A6tYZhl4mUfQWWQMsuSkLrtjlWuXBVSGQA==
+  dependencies:
+    "@ai-sdk/provider" "1.1.3"
+    nanoid "^3.3.8"
+    secure-json-parse "^2.7.0"
+
+"@ai-sdk/provider-utils@^3.0.0":
+  version "3.0.20"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-3.0.20.tgz#61d7741065550833eae3ac6440d943e9d3d25120"
+  integrity sha512-iXHVe0apM2zUEzauqJwqmpC37A5rihrStAih5Ks+JE32iTe4LZ58y17UGBjpQQTCRw9YxMeo2UFLxLpBluyvLQ==
+  dependencies:
+    "@ai-sdk/provider" "2.0.1"
+    "@standard-schema/spec" "^1.0.0"
+    eventsource-parser "^3.0.6"
+
+"@ai-sdk/provider@1.1.3", "@ai-sdk/provider@^1.0.7":
+  version "1.1.3"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider/-/provider-1.1.3.tgz#ebdda8077b8d2b3f290dcba32c45ad19b2704681"
+  integrity sha512-qZMxYJ0qqX/RfnuIaab+zp8UAeJn/ygXXAffR5I4N0n1IrvA6qBsjc8hXLmBiMV2zoXlifkacF7sEFnYnjBcqg==
+  dependencies:
+    json-schema "^0.4.0"
+
+"@ai-sdk/provider@2.0.1", "@ai-sdk/provider@^2.0.0":
+  version "2.0.1"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider/-/provider-2.0.1.tgz#4aba415f1815da33a7a81e5f41a0219af53278c0"
+  integrity sha512-KCUwswvsC5VsW2PWFqF8eJgSCu5Ysj7m1TxiHTVA6g7k360bk0RNQENT8KTMAYEs+8fWPD3Uu4dEmzGHc+jGng==
+  dependencies:
+    json-schema "^0.4.0"
+
+"@ai-sdk/provider@3.0.7":
+  version "3.0.7"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider/-/provider-3.0.7.tgz#470bb8f9e46ec9d8d62b07b4c1f5737b991ebe83"
+  integrity sha512-VkPLrutM6VdA924/mG8OS+5frbVTcu6e046D2bgDo00tehBANR1QBJ/mPcZ9tXMFOsVcm6SQArOregxePzTFPw==
+  dependencies:
+    json-schema "^0.4.0"
+
 "@aigne/afs-history@^1.2.0":
   version "1.2.0"
   resolved "https://registry.npmmirror.com/@aigne/afs-history/-/afs-history-1.2.0.tgz#42086667ee83f2bbe181b247d6987cd05793d96f"
@@ -969,7 +1058,7 @@
   dependencies:
     "@opentelemetry/api" "^1.3.0"
 
-"@opentelemetry/api@^1.3.0", "@opentelemetry/api@^1.9.0":
+"@opentelemetry/api@1.9.0", "@opentelemetry/api@^1.3.0", "@opentelemetry/api@^1.9.0":
   version "1.9.0"
   resolved "https://registry.npmmirror.com/@opentelemetry/api/-/api-1.9.0.tgz#d03eba68273dc0f7509e2a3d5cba21eae10379fe"
   integrity sha512-3giAOQvZiH5F9bMlMiv8+GSPMeqg0dbaeo58/0SlA9sxSqZhnUtxzX9/2FzyhS9sWQf5S0GJE0AKBrFqjpeYcg==
@@ -1348,7 +1437,7 @@
   resolved "https://registry.npmmirror.com/@sqlite.org/sqlite-wasm/-/sqlite-wasm-3.50.1-build1.tgz#67dd9944b0e37ddb0ef2c8b195baa74ece838e44"
   integrity sha512-yH4M/SHN98NibniIwTVk6rwTJjy7n39l7zwWY3u+qsfZBGTi4lC1uEl2NDvIlkzsFtfCBvHBJJFJ1iuU3UzzEQ==
 
-"@standard-schema/spec@1.1.0":
+"@standard-schema/spec@1.1.0", "@standard-schema/spec@^1.0.0", "@standard-schema/spec@^1.1.0":
   version "1.1.0"
   resolved "https://registry.npmmirror.com/@standard-schema/spec/-/spec-1.1.0.tgz#a79b55dbaf8604812f52d140b2c9ab41bc150bb8"
   integrity sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w==
@@ -1574,6 +1663,11 @@
   resolved "https://registry.npmmirror.com/@ungap/with-resolvers/-/with-resolvers-0.1.0.tgz#63a07b13bbf10ffff074a36498cce8d82aeeecc4"
   integrity sha512-g7f0IkJdPW2xhY7H4iE72DAsIyfuwEFc6JWc2tYFwKDMWWAF699vGjrM348cwQuOXgHpe1gWFe+Eiyjx/ewvvw==
 
+"@vercel/oidc@3.1.0":
+  version "3.1.0"
+  resolved "https://registry.npmmirror.com/@vercel/oidc/-/oidc-3.1.0.tgz#066caee449b84079f33c7445fc862464fe10ec32"
+  integrity sha512-Fw28YZpRnA3cAHHDlkt7xQHiJ0fcL+NRcIqsocZQUSmbzeIKRpwttJjik5ZGanXP+vlA4SbTg+AbA3bP363l+w==
+
 "@xmldom/xmldom@^0.8.8":
   version "0.8.11"
   resolved "https://registry.npmmirror.com/@xmldom/xmldom/-/xmldom-0.8.11.tgz#b79de2d67389734c57c52595f7a7305e30c2d608"
@@ -1651,6 +1745,16 @@ aggregate-error@^3.0.0:
     clean-stack "^2.0.0"
     indent-string "^4.0.0"
 
+ai@^6.0.67:
+  version "6.0.67"
+  resolved "https://registry.npmmirror.com/ai/-/ai-6.0.67.tgz#eb808301e0196915b9fe097ac7de47ce8131c2a9"
+  integrity sha512-xBnTcByHCj3OcG6V8G1s6zvSEqK0Bdiu+IEXYcpGrve1iGFFRgcrKeZtr/WAW/7gupnSvBbDF24BEv1OOfqi1g==
+  dependencies:
+    "@ai-sdk/gateway" "3.0.32"
+    "@ai-sdk/provider" "3.0.7"
+    "@ai-sdk/provider-utils" "4.0.13"
+    "@opentelemetry/api" "1.9.0"
+
 ajv-formats@^3.0.1:
   version "3.0.1"
   resolved "https://registry.npmmirror.com/ajv-formats/-/ajv-formats-3.0.1.tgz#3d5dc762bca17679c3c2ea7e90ad6b7532309578"
@@ -1911,6 +2015,11 @@ basic-auth@~2.0.1:
   dependencies:
     safe-buffer "5.1.2"
 
+best-effort-json-parser@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.npmmirror.com/best-effort-json-parser/-/best-effort-json-parser-1.2.1.tgz#e8d0b8355a0c268d918681faa0e3cf6aa192ea00"
+  integrity sha512-UICSLibQdzS1f+PBsi3u2YE3SsdXcWicHUg3IMvfuaePS2AYnZJdJeKhGv5OM8/mqJwPt79aDrEJ1oa84tELvw==
+
 better-sqlite3@^12.6.2:
   version "12.6.2"
   resolved "https://registry.npmmirror.com/better-sqlite3/-/better-sqlite3-12.6.2.tgz#770649f28a62e543a360f3dfa1afe4cc944b1937"
@@ -3779,6 +3888,11 @@ json-schema-typed@^8.0.2:
   resolved "https://registry.npmmirror.com/json-schema-typed/-/json-schema-typed-8.0.2.tgz#e98ee7b1899ff4a184534d1f167c288c66bbeff4"
   integrity sha512-fQhoXdcvc3V28x7C7BMs4P5+kNlgUURe2jmUT1T//oBRMDrqy1QPelJimwZGo7Hg9VPV3EQV5Bnq4hbFy2vetA==
 
+json-schema@^0.4.0:
+  version "0.4.0"
+  resolved "https://registry.npmmirror.com/json-schema/-/json-schema-0.4.0.tgz#f7de4cf6efab838ebaeb3236474cbba5a1930ab5"
+  integrity sha512-es94M3nTIfsEPisRafak+HDLfHXnKBhV3vU5eqPcS3flIWqcxJWgXHXiey3YrpaNsanY5ei1VoYEbOzijuq9BA==
+
 json-stringify-safe@^5.0.1:
   version "5.0.1"
   resolved "https://registry.npmmirror.com/json-stringify-safe/-/json-stringify-safe-5.0.1.tgz#1296a2d58fd45f19a0f6ce01d65701e2c735b6eb"
@@ -4327,6 +4441,11 @@ mute-stream@^2.0.0:
   resolved "https://registry.npmmirror.com/mute-stream/-/mute-stream-2.0.0.tgz#a5446fc0c512b71c83c44d908d5c7b7b4c493b2b"
   integrity sha512-WWdIxpyjEn+FhQJQQv9aQAYlHoNVdzIzUySNV1gHUPDSdZJ3yZn7pAAbQcV7B56Mvu881q9FZV+0Vx2xC44VWA==
 
+nanoid@^3.3.8:
+  version "3.3.11"
+  resolved "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.11.tgz#4f4f112cefbe303202f2199838128936266d185b"
+  integrity sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==
+
 napi-build-utils@^2.0.0:
   version "2.0.0"
   resolved "https://registry.npmmirror.com/napi-build-utils/-/napi-build-utils-2.0.0.tgz#13c22c0187fcfccce1461844136372a47ddc027e"
@@ -4887,6 +5006,14 @@ quick-lru@^5.1.1:
   resolved "https://registry.npmmirror.com/quick-lru/-/quick-lru-5.1.1.tgz#366493e6b3e42a3a6885e2e99d18f80fb7a8c932"
   integrity sha512-WuyALRjWPDGtt/wzJiadO5AXY+8hZ80hVpe6MyivgraREW751X3SbhRvG3eLKOYN+8VEvqLcf3wdnt44Z4S4SA==
 
+qwen-ai-provider@^0.1.1:
+  version "0.1.1"
+  resolved "https://registry.npmmirror.com/qwen-ai-provider/-/qwen-ai-provider-0.1.1.tgz#f854379514eed919fe01de20007f6238a8ad2b41"
+  integrity sha512-7dVu97U7fbOGgCYdaOunC4NQqC+7Or3/Gsbx+P16+Ny4VxST7WJxfUCogQl6D2EDxIJdHGz4akHm+5fyEulmyw==
+  dependencies:
+    "@ai-sdk/provider" "^1.0.7"
+    "@ai-sdk/provider-utils" "^2.1.6"
+
 radix3@^1.1.2:
   version "1.1.2"
   resolved "https://registry.npmmirror.com/radix3/-/radix3-1.1.2.tgz#fd27d2af3896c6bf4bcdfab6427c69c2afc69ec0"
@@ -5161,6 +5288,11 @@ sax@^1.2.4:
   resolved "https://registry.npmmirror.com/sax/-/sax-1.4.4.tgz#f29c2bba80ce5b86f4343b4c2be9f2b96627cf8b"
   integrity sha512-1n3r/tGXO6b6VXMdFT54SHzT9ytu9yr7TaELowdYpMqY/Ao7EnlQGmAQ1+RatX7Tkkdm6hONI2owqNx2aZj5Sw==
 
+secure-json-parse@^2.7.0:
+  version "2.7.0"
+  resolved "https://registry.npmmirror.com/secure-json-parse/-/secure-json-parse-2.7.0.tgz#5a5f9cd6ae47df23dba3151edd06855d47e09862"
+  integrity sha512-6aU+Rwsezw7VR8/nyvKTx8QpWH9FrcYiXXlqC4z5d5XQBDRqtbfsRjnwGyqbi3gddNtWHuEk9OANUotL26qKUw==
+
 semver-compare@^1.0.0:
   version "1.0.0"
   resolved "https://registry.npmmirror.com/semver-compare/-/semver-compare-1.0.0.tgz#0dee216a1c941ab37e9efb1788f6afc5ff5537fc"
@@ -6106,6 +6238,14 @@ yoctocolors-cjs@^2.1.3:
   resolved "https://registry.npmmirror.com/yoctocolors-cjs/-/yoctocolors-cjs-2.1.3.tgz#7e4964ea8ec422b7a40ac917d3a344cfd2304baa"
   integrity sha512-U/PBtDf35ff0D8X8D0jfdzHYEPFxAI7jJlxZXwCSez5M3190m+QobIfh+sWDWSHMCWWJN2AWamkegn6vr6YBTw==
 
+zhipu-ai-provider@^0.2.2:
+  version "0.2.2"
+  resolved "https://registry.npmmirror.com/zhipu-ai-provider/-/zhipu-ai-provider-0.2.2.tgz#cbee428475b1c2fca446f273ac09006ef86f6f00"
+  integrity sha512-UjX1ho4DI9ICUv/mrpAnzmrRe5/LXrGkS5hF6h4WDY2aup5GketWWopFzWYCqsbArXAM5wbzzdH9QzZusgGiBg==
+  dependencies:
+    "@ai-sdk/provider" "^2.0.0"
+    "@ai-sdk/provider-utils" "^3.0.0"
+
 zip-stream@^6.0.1:
   version "6.0.1"
   resolved "https://registry.npmmirror.com/zip-stream/-/zip-stream-6.0.1.tgz#e141b930ed60ccaf5d7fa9c8260e0d1748a2bbfb"