♻️ refactor: refactor the model-bank package from src/config/aiModels (#8983)

* move

* refactor with model banks

* refactor with model banks

* refactor @/config/aiModels to model-bank

* refactor @/config/aiModels to model-bank

* fix model bank exports

* clean

* add test workflow

* try again

* fix

* add exports tests

* fix model bank alias

* Update tsconfig.json

* fix import issue

* clean unused code

* fix tests

.github/workflows/test.yml

@@ -7,7 +7,7 @@ permissions:
 
 jobs:
   # Package tests - using each package's own test script
-  test-packages:
+  test-intenral-packages:
     runs-on: ubuntu-latest
     strategy:
       matrix:
@@ -41,6 +41,41 @@ jobs:
           files: ./packages/${{ matrix.package }}/coverage/lcov.info
           flags: packages/${{ matrix.package }}
 
+  test-packages:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        package: [model-bank]
+
+    name: Test package ${{ matrix.package }}
+
+    steps:
+      - uses: actions/checkout@v5
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: 22
+
+      - name: Install bun
+        uses: oven-sh/setup-bun@v1
+        with:
+          bun-version: ${{ secrets.BUN_VERSION }}
+
+      - name: Install deps
+        run: bun i
+
+      - name: Test ${{ matrix.package }} package with coverage
+        run: bun run --filter ${{ matrix.package }} test:coverage
+
+      - name: Upload ${{ matrix.package }} coverage to Codecov
+        uses: codecov/codecov-action@v4
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          files: ./packages/${{ matrix.package }}/coverage/lcov.info
+          flags: packages/${{ matrix.package }}
+
+
   # App tests
   test-website:
     name: Test Website

package.json

@@ -210,6 +210,7 @@
     "mammoth": "^1.10.0",
     "markdown-to-txt": "^2.0.1",
     "mdast-util-to-markdown": "^2.1.2",
+    "model-bank": "workspace:*",
     "modern-screenshot": "^4.6.5",
     "nanoid": "^5.1.5",
     "next": "~15.3.5",

packages/const/package.json

@@ -2,5 +2,8 @@
   "name": "@lobechat/const",
   "version": "1.0.0",
   "private": true,
-  "main": "./src/index.ts"
+  "main": "./src/index.ts",
+  "dependencies": {
+    "model-bank": "workspace:*"
+  }
 }

packages/const/src/image.ts

@@ -1,4 +1,4 @@
-import { ModelParamsSchema } from '@/libs/standard-parameters';
+import { ModelParamsSchema } from 'model-bank';
 
 /**
  * 默认宽高比，当模型不支持原生宽高比时使用

packages/database/src/repositories/aiInfra/index.ts

@@ -201,7 +201,11 @@ export class AiInfraRepos {
     providerId: string,
   ): Promise<AiProviderModelListItem[] | undefined> => {
     try {
-      const { default: providerModels } = await import(`@/config/aiModels/${providerId}.ts`);
+      const modules = await import('model-bank');
+
+      // TODO: when model-bank is a separate module, we will try import from model-bank/[prividerId] again
+      // @ts-expect-error providerId is string
+      const providerModels = modules[providerId];
 
       // use the serverModelLists as the defined server model list
       const presetList = this.providerConfigs[providerId]?.serverModelLists || providerModels;
@@ -210,7 +214,8 @@ export class AiInfraRepos {
         enabled: m.enabled || false,
         source: AiModelSourceEnum.Builtin,
       }));
-    } catch {
+    } catch (error) {
+      console.error(error);
       // maybe provider id not exist
     }
   };

packages/model-bank/package.json

@@ -0,0 +1,75 @@
+{
+  "name": "model-bank",
+  "version": "1.0.0",
+  "private": true,
+  "exports": {
+    ".": "./src/index.ts",
+    "./ai21": "./src/aiModels/ai21.ts",
+    "./ai302": "./src/aiModels/ai302.ts",
+    "./ai360": "./src/aiModels/ai360.ts",
+    "./aihubmix": "./src/aiModels/aihubmix.ts",
+    "./akashchat": "./src/aiModels/akashchat.ts",
+    "./anthropic": "./src/aiModels/anthropic.ts",
+    "./azureai": "./src/aiModels/azureai.ts",
+    "./azure": "./src/aiModels/azure.ts",
+    "./baichuan": "./src/aiModels/baichuan.ts",
+    "./bedrock": "./src/aiModels/bedrock.ts",
+    "./bfl": "./src/aiModels/bfl.ts",
+    "./cloudflare": "./src/aiModels/cloudflare.ts",
+    "./cohere": "./src/aiModels/cohere.ts",
+    "./deepseek": "./src/aiModels/deepseek.ts",
+    "./fal": "./src/aiModels/fal.ts",
+    "./fireworksai": "./src/aiModels/fireworksai.ts",
+    "./giteeai": "./src/aiModels/giteeai.ts",
+    "./github": "./src/aiModels/github.ts",
+    "./google": "./src/aiModels/google.ts",
+    "./groq": "./src/aiModels/groq.ts",
+    "./lobehub": "./src/aiModels/lobehub.ts",
+    "./higress": "./src/aiModels/higress.ts",
+    "./huggingface": "./src/aiModels/huggingface.ts",
+    "./hunyuan": "./src/aiModels/hunyuan.ts",
+    "./infiniai": "./src/aiModels/infiniai.ts",
+    "./internlm": "./src/aiModels/internlm.ts",
+    "./jina": "./src/aiModels/jina.ts",
+    "./lmstudio": "./src/aiModels/lmstudio.ts",
+    "./minimax": "./src/aiModels/minimax.ts",
+    "./mistral": "./src/aiModels/mistral.ts",
+    "./modelscope": "./src/aiModels/modelscope.ts",
+    "./moonshot": "./src/aiModels/moonshot.ts",
+    "./novita": "./src/aiModels/novita.ts",
+    "./nvidia": "./src/aiModels/nvidia.ts",
+    "./ollama": "./src/aiModels/ollama.ts",
+    "./openai": "./src/aiModels/openai.ts",
+    "./openrouter": "./src/aiModels/openrouter.ts",
+    "./perplexity": "./src/aiModels/perplexity.ts",
+    "./ppio": "./src/aiModels/ppio.ts",
+    "./qiniu": "./src/aiModels/qiniu.ts",
+    "./qwen": "./src/aiModels/qwen.ts",
+    "./sambanova": "./src/aiModels/sambanova.ts",
+    "./search1api": "./src/aiModels/search1api.ts",
+    "./sensenova": "./src/aiModels/sensenova.ts",
+    "./siliconcloud": "./src/aiModels/siliconcloud.ts",
+    "./spark": "./src/aiModels/spark.ts",
+    "./stepfun": "./src/aiModels/stepfun.ts",
+    "./taichu": "./src/aiModels/taichu.ts",
+    "./tencentcloud": "./src/aiModels/tencentcloud.ts",
+    "./togetherai": "./src/aiModels/togetherai.ts",
+    "./upstage": "./src/aiModels/upstage.ts",
+    "./v0": "./src/aiModels/v0.ts",
+    "./vertexai": "./src/aiModels/vertexai.ts",
+    "./vllm": "./src/aiModels/vllm.ts",
+    "./volcengine": "./src/aiModels/volcengine.ts",
+    "./wenxin": "./src/aiModels/wenxin.ts",
+    "./xai": "./src/aiModels/xai.ts",
+    "./xinference": "./src/aiModels/xinference.ts",
+    "./zeroone": "./src/aiModels/zeroone.ts",
+    "./zhipu": "./src/aiModels/zhipu.ts"
+  },
+  "scripts": {
+    "test": "vitest",
+    "test:coverage": "vitest --coverage"
+  },
+  "dependencies": {
+    "zod": "^3.25.76"
+  }
+}

packages/model-bank/src/aiModels/bfl.ts

@@ -1,5 +1,5 @@
 import { PRESET_ASPECT_RATIOS } from '@/const/image';
-import { ModelParamsSchema } from '@/libs/standard-parameters';
+import { ModelParamsSchema } from '../standard-parameters';
 import { AIImageModelCard } from '@/types/aiModel';
 
 // https://docs.bfl.ai/api-reference/tasks/edit-or-create-an-image-with-flux-kontext-pro

packages/model-bank/src/aiModels/fal.ts

@@ -1,4 +1,4 @@
-import { ModelParamsSchema } from '@/libs/standard-parameters';
+import { ModelParamsSchema } from '../standard-parameters';
 import { AIImageModelCard } from '@/types/aiModel';
 
 export const fluxSchnellParamsSchema: ModelParamsSchema = {

packages/model-bank/src/aiModels/google.ts

@@ -1,5 +1,5 @@
 import { CHAT_MODEL_IMAGE_GENERATION_PARAMS } from '@/const/image';
-import { ModelParamsSchema } from '@/libs/standard-parameters';
+import { ModelParamsSchema } from '../standard-parameters';
 import { AIChatModelCard, AIImageModelCard } from '@/types/aiModel';
 
 const googleChatModels: AIChatModelCard[] = [

packages/model-bank/src/aiModels/index.ts

@@ -155,7 +155,7 @@ export { default as bfl } from './bfl';
 export { default as cloudflare } from './cloudflare';
 export { default as cohere } from './cohere';
 export { default as deepseek } from './deepseek';
-export { default as fal } from './fal';
+export { default as fal, fluxSchnellParamsSchema } from './fal';
 export { default as fireworksai } from './fireworksai';
 export { default as giteeai } from './giteeai';
 export { default as github } from './github';
@@ -176,7 +176,7 @@ export { default as moonshot } from './moonshot';
 export { default as novita } from './novita';
 export { default as nvidia } from './nvidia';
 export { default as ollama } from './ollama';
-export { default as openai } from './openai';
+export { gptImage1ParamsSchema, default as openai, openaiChatModels } from './openai';
 export { default as openrouter } from './openrouter';
 export { default as perplexity } from './perplexity';
 export { default as ppio } from './ppio';

packages/model-bank/src/aiModels/openai.ts

@@ -1,4 +1,4 @@
-import { ModelParamsSchema } from '@/libs/standard-parameters';
+import { ModelParamsSchema } from '../standard-parameters';
 import {
   AIChatModelCard,
   AIEmbeddingModelCard,

packages/model-bank/src/exports.test.ts

@@ -0,0 +1,37 @@
+import { readFileSync, readdirSync } from 'node:fs';
+import path from 'node:path';
+import { describe, expect, it } from 'vitest';
+
+// 本测试确保 packages/model-bank/package.json 的 exports 覆盖 src/aiModels 下的所有文件
+describe('model-bank package.json exports should cover all aiModels files', () => {
+  const packageRoot = path.resolve(__dirname, '..');
+  const aiModelsDir = path.resolve(packageRoot, 'src/aiModels');
+  const packageJsonPath = path.resolve(packageRoot, 'package.json');
+
+  const packageJson = JSON.parse(readFileSync(packageJsonPath, 'utf-8')) as {
+    exports?: Record<string, string>;
+  };
+
+  const allModelFiles = readdirSync(aiModelsDir)
+    .filter((f) => f.endsWith('.ts'))
+    .map((f) => f.replace(/\.ts$/, ''))
+    // 排除非 provider 文件，如 index、类型声明等
+    .filter((name) => !['index'].includes(name));
+
+  it('every aiModels file should be exported in package.json.exports', () => {
+    const exportsMap = packageJson.exports ?? {};
+
+    const missing = allModelFiles.filter((name) => {
+      const key = `./${name}`;
+      const expectedPath = `./src/aiModels/${name}.ts`;
+      return !(key in exportsMap) || exportsMap[key] !== expectedPath;
+    });
+
+    if (missing.length > 0) {
+      // eslint-disable-next-line no-console
+      console.error('Missing exports for aiModels files:', missing);
+    }
+
+    expect(missing).toEqual([]);
+  });
+});

packages/model-bank/src/index.ts

@@ -0,0 +1,2 @@
+export * from './aiModels';
+export * from './standard-parameters';

packages/model-bank/src/standard-parameters/index.ts

@@ -1,7 +1,7 @@
 import type { Simplify } from 'type-fest';
 import { z } from 'zod';
 
-import { MAX_SEED } from '@/const/image';
+export const MAX_SEED = 2 ** 31 - 1;
 
 // 定义顶层的元规范 - 平铺结构
 export const ModelParamsMetaSchema = z.object({

packages/model-bank/vitest.config.mts

@@ -0,0 +1,11 @@
+import { defineConfig } from 'vitest/config';
+
+export default defineConfig({
+  test: {
+    coverage: {
+      all: false,
+      reporter: ['text', 'json', 'lcov', 'text-summary'],
+    },
+    environment: 'happy-dom',
+  },
+});

packages/model-runtime/package.json

@@ -12,6 +12,7 @@
     "@lobechat/types": "workspace:*",
     "@lobechat/utils": "workspace:*",
     "debug": "^4.4.1",
+    "model-bank": "workspace:*",
     "openai": "^4.104.0"
   }
 }

packages/model-runtime/src/ai360/index.ts

@@ -38,7 +38,7 @@ export const LobeAi360AI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_AI360_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const reasoningKeywords = ['360gpt2-o1', '360zhinao2-o1'];
 

packages/model-runtime/src/aihubmix/index.ts

@@ -1,6 +1,6 @@
+import { LOBE_DEFAULT_MODEL_LIST } from 'model-bank';
 import urlJoin from 'url-join';
 
-import { LOBE_DEFAULT_MODEL_LIST } from '@/config/aiModels';
 import { responsesAPIModels } from '@/const/models';
 
 import { createRouterRuntime } from '../RouterRuntime';

packages/model-runtime/src/anthropic/index.ts

@@ -12,10 +12,10 @@ import { buildAnthropicMessages, buildAnthropicTools } from '../utils/anthropicH
 import { AgentRuntimeError } from '../utils/createError';
 import { debugStream } from '../utils/debugStream';
 import { desensitizeUrl } from '../utils/desensitizeUrl';
+import { MODEL_LIST_CONFIGS, processModelList } from '../utils/modelParse';
 import { StreamingResponse } from '../utils/response';
 import { AnthropicStream } from '../utils/streams';
 import { handleAnthropicError } from './handleAnthropicError';
-import { processModelList, MODEL_LIST_CONFIGS } from '../utils/modelParse';
 
 export interface AnthropicModelCard {
   created_at: string;
@@ -120,7 +120,7 @@ export class LobeAnthropicAI implements LobeRuntimeAI {
       enabledSearch,
     } = payload;
 
-    const { default: anthropicModels } = await import('@/config/aiModels/anthropic');
+    const { anthropic: anthropicModels } = await import('model-bank');
     const modelConfig = anthropicModels.find((m) => m.id === model);
     const defaultMaxOutput = modelConfig?.maxOutput;
 
@@ -231,10 +231,10 @@ export class LobeAnthropicAI implements LobeRuntimeAI {
     const modelList: AnthropicModelCard[] = json['data'];
 
     const standardModelList = modelList.map((model) => ({
-          created: model.created_at,
-          displayName: model.display_name,
-          id: model.id,
-        }));
+      created: model.created_at,
+      displayName: model.display_name,
+      id: model.id,
+    }));
     return processModelList(standardModelList, MODEL_LIST_CONFIGS.anthropic, 'anthropic');
   }
 

packages/model-runtime/src/baichuan/index.ts

@@ -43,7 +43,7 @@ export const LobeBaichuanAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_BAICHUAN_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: BaichuanModelCard[] = modelsPage.data;

packages/model-runtime/src/bfl/createImage.ts

@@ -1,7 +1,6 @@
 import { imageUrlToBase64 } from '@lobechat/utils';
 import createDebug from 'debug';
-
-import { RuntimeImageGenParamsValue } from '@/libs/standard-parameters/index';
+import { RuntimeImageGenParamsValue } from 'model-bank';
 
 import { AgentRuntimeErrorType } from '../error';
 import { CreateImagePayload, CreateImageResponse } from '../types/image';

packages/model-runtime/src/cloudflare/index.ts

@@ -112,7 +112,7 @@ export class LobeCloudflareAI implements LobeRuntimeAI {
   }
 
   async models(): Promise<ChatModelCard[]> {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const url = `${DEFAULT_BASE_URL_PREFIX}/client/v4/accounts/${this.accountID}/ai/models/search`;
     const response = await fetch(url, {

packages/model-runtime/src/cohere/index.ts

@@ -37,7 +37,7 @@ export const LobeCohereAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_COHERE_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     client.baseURL = 'https://api.cohere.com/v1';
 

packages/model-runtime/src/deepseek/index.ts

@@ -13,7 +13,7 @@ export const LobeDeepSeekAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_DEEPSEEK_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: DeepSeekModelCard[] = modelsPage.data;

packages/model-runtime/src/fal/index.ts

@@ -1,10 +1,9 @@
 import { fal } from '@fal-ai/client';
 import debug from 'debug';
 import { pick } from 'lodash-es';
+import { RuntimeImageGenParamsValue } from 'model-bank';
 import { ClientOptions } from 'openai';
 
-import { RuntimeImageGenParamsValue } from '@/libs/standard-parameters/index';
-
 import { LobeRuntimeAI } from '../BaseAI';
 import { AgentRuntimeErrorType } from '../error';
 import { CreateImagePayload, CreateImageResponse } from '../types/image';

packages/model-runtime/src/fireworksai/index.ts

@@ -16,7 +16,7 @@ export const LobeFireworksAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_FIREWORKSAI_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const reasoningKeywords = ['deepseek-r1', 'qwq'];
 

packages/model-runtime/src/groq/index.ts

@@ -31,7 +31,7 @@ export const LobeGroq = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_GROQ_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const functionCallKeywords = [
       'tool',

packages/model-runtime/src/higress/index.ts

@@ -27,7 +27,7 @@ export const LobeHigressAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_HIGRESS_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: HigressModelCard[] = modelsPage.data;

packages/model-runtime/src/huggingface/index.ts

@@ -55,7 +55,7 @@ export const LobeHuggingFaceAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_HUGGINGFACE_CHAT_COMPLETION === '1',
   },
   models: async () => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const visionKeywords = ['image-text-to-text', 'multimodal', 'vision'];
 

packages/model-runtime/src/hunyuan/index.ts

@@ -41,7 +41,7 @@ export const LobeHunyuanAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_HUNYUAN_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const functionCallKeywords = ['hunyuan-functioncall', 'hunyuan-turbo', 'hunyuan-pro'];
 

packages/model-runtime/src/infiniai/index.ts

@@ -42,7 +42,7 @@ export const LobeInfiniAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_INFINIAI_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const reasoningKeywords = ['deepseek-r1', 'qwq', 'qwen3'];
     const visionKeywords = ['qwen2.5-vl'];

packages/model-runtime/src/internlm/index.ts

@@ -21,7 +21,7 @@ export const LobeInternLMAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_INTERNLM_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const functionCallKeywords = ['internlm'];
 

packages/model-runtime/src/jina/index.ts

@@ -13,7 +13,7 @@ export const LobeJinaAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_JINA_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const reasoningKeywords = ['deepsearch'];
 

packages/model-runtime/src/lmstudio/index.ts

@@ -14,7 +14,7 @@ export const LobeLMStudioAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_LMSTUDIO_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: LMStudioModelCard[] = modelsPage.data;

packages/model-runtime/src/minimax/index.ts

@@ -1,4 +1,4 @@
-import minimaxChatModels from '@/config/aiModels/minimax';
+import { minimax as minimaxChatModels } from 'model-bank';
 
 import { ModelProvider } from '../types';
 import { createOpenAICompatibleRuntime } from '../utils/openaiCompatibleFactory';

packages/model-runtime/src/mistral/index.ts

@@ -34,7 +34,7 @@ export const LobeMistralAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_MISTRAL_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: MistralModelCard[] = modelsPage.data;

packages/model-runtime/src/ollama/index.ts

@@ -119,7 +119,7 @@ export class LobeOllamaAI implements LobeRuntimeAI {
   }
 
   async models() {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const list = await this.client.list();
 

packages/model-runtime/src/openai/index.test.ts

@@ -2,9 +2,6 @@
 import OpenAI from 'openai';
 import { Mock, afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
 
-// 引入模块以便于对函数进行spy
-import { ChatStreamCallbacks } from '@/libs/model-runtime';
-
 import * as debugStreamModule from '../utils/debugStream';
 import officalOpenAIModels from './fixtures/openai-models.json';
 import { LobeOpenAI } from './index';

packages/model-runtime/src/openrouter/index.ts

@@ -1,4 +1,4 @@
-import OpenRouterModels from '@/config/aiModels/openrouter';
+import { openrouter as OpenRouterModels } from 'model-bank';
 
 import { ModelProvider } from '../types';
 import { processMultiProviderModelList } from '../utils/modelParse';

packages/model-runtime/src/ppio/index.ts

@@ -15,7 +15,7 @@ export const LobePPIOAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_PPIO_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const reasoningKeywords = ['deepseek-r1'];
 

packages/model-runtime/src/search1api/index.ts

@@ -37,7 +37,7 @@ export const LobeSearch1API = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_SEARCH1API_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const modelsPage = (await client.models.list()) as any;
     const modelList: Search1APIModelCard[] = modelsPage.data;

packages/model-runtime/src/sensenova/index.ts

@@ -54,7 +54,7 @@ export const LobeSenseNovaAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_SENSENOVA_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     const functionCallKeywords = ['1202'];
 

packages/model-runtime/src/stepfun/index.ts

@@ -36,7 +36,7 @@ export const LobeStepfunAI = createOpenAICompatibleRuntime({
     chatCompletion: () => process.env.DEBUG_STEPFUN_CHAT_COMPLETION === '1',
   },
   models: async ({ client }) => {
-    const { LOBE_DEFAULT_MODEL_LIST } = await import('@/config/aiModels');
+    const { LOBE_DEFAULT_MODEL_LIST } = await import('model-bank');
 
     // ref: https://platform.stepfun.com/docs/llm/modeloverview
     const functionCallKeywords = ['step-1-', 'step-1o-', 'step-1v-', 'step-2-'];