diff --git a/electron-builder.yml b/electron-builder.yml
index 5e1f97f00..631b483cd 100644
--- a/electron-builder.yml
+++ b/electron-builder.yml
@@ -36,8 +36,11 @@ files:
   - '!**/*.{spec,test}.{js,jsx,ts,tsx}'
   - '!**/*.min.*.map'
   - '!**/*.d.ts'
+  - '!**/dist/es6/**'
+  - '!**/dist/demo/**'
+  - '!**/amd/**'
   - '!**/{.DS_Store,Thumbs.db,thumbs.db,__pycache__}'
-  - '!**/{LICENSE,LICENSE.txt,LICENSE-MIT.txt,*.LICENSE.txt,NOTICE.txt,README.md,readme.md,CHANGELOG.md}'
+  - '!**/{LICENSE,license,LICENSE.*,*.LICENSE.txt,NOTICE.txt,README.md,readme.md,CHANGELOG.md}'
   - '!node_modules/rollup-plugin-visualizer'
   - '!node_modules/js-tiktoken'
   - '!node_modules/@tavily/core/node_modules/js-tiktoken'
diff --git a/electron.vite.config.ts b/electron.vite.config.ts
index b6e0148e8..7f4a4e3a6 100644
--- a/electron.vite.config.ts
+++ b/electron.vite.config.ts
@@ -9,25 +9,7 @@ const visualizerPlugin = (type: 'renderer' | 'main') => {
 
 export default defineConfig({
   main: {
-    plugins: [
-      externalizeDepsPlugin({
-        exclude: [
-          '@cherrystudio/embedjs',
-          '@cherrystudio/embedjs-openai',
-          '@cherrystudio/embedjs-loader-web',
-          '@cherrystudio/embedjs-loader-markdown',
-          '@cherrystudio/embedjs-loader-msoffice',
-          '@cherrystudio/embedjs-loader-xml',
-          '@cherrystudio/embedjs-loader-pdf',
-          '@cherrystudio/embedjs-loader-sitemap',
-          '@cherrystudio/embedjs-libsql',
-          '@cherrystudio/embedjs-loader-image',
-          'p-queue',
-          'webdav'
-        ]
-      }),
-      ...visualizerPlugin('main')
-    ],
+    plugins: [externalizeDepsPlugin(), ...visualizerPlugin('main')],
     resolve: {
       alias: {
         '@main': resolve('src/main'),
diff --git a/src/renderer/src/providers/WebSearchProvider/BochaProvider.ts b/src/renderer/src/providers/WebSearchProvider/BochaProvider.ts
index 63ef9b0a9..6d2bc2401 100644
--- a/src/renderer/src/providers/WebSearchProvider/BochaProvider.ts
+++ b/src/renderer/src/providers/WebSearchProvider/BochaProvider.ts
@@ -1,6 +1,6 @@
 import { WebSearchState } from '@renderer/store/websearch'
 import { WebSearchProvider, WebSearchProviderResponse } from '@renderer/types'
-import { BochaSearchParams, BochaSearchResponse } from '@renderer/types/bocha'
+import { BochaSearchParams, BochaSearchResponse } from '@renderer/utils/bocha'
 
 import BaseWebSearchProvider from './BaseWebSearchProvider'
 
diff --git a/src/renderer/src/types/index.ts b/src/renderer/src/types/index.ts
index 4b29fb5ca..e85c45a6a 100644
--- a/src/renderer/src/types/index.ts
+++ b/src/renderer/src/types/index.ts
@@ -1,7 +1,7 @@
 import type { WebSearchResultBlock } from '@anthropic-ai/sdk/resources'
 import type { GroundingMetadata } from '@google/genai'
 import type OpenAI from 'openai'
-import React from 'react'
+import type { CSSProperties } from 'react'
 
 import type { Message } from './newMessage'
 
@@ -274,7 +274,7 @@ export type MinAppType = {
   url: string
   bodered?: boolean
   background?: string
-  style?: React.CSSProperties
+  style?: CSSProperties
   addTime?: string
   type?: 'Custom' | 'Default' // Added the 'type' property
 }
diff --git a/src/renderer/src/types/model.ts b/src/renderer/src/types/model.ts
deleted file mode 100644
index ed3763e2a..000000000
--- a/src/renderer/src/types/model.ts
+++ /dev/null
@@ -1,222 +0,0 @@
-import { z } from 'zod'
-
-export const InputType = z.enum(['text', 'image', 'audio', 'video', 'document'])
-export type InputType = z.infer<typeof InputType>
-
-export const OutputType = z.enum(['text', 'image', 'audio', 'video', 'vector'])
-export type OutputType = z.infer<typeof OutputType>
-
-export const OutputMode = z.enum(['sync', 'streaming'])
-export type OutputMode = z.infer<typeof OutputMode>
-
-export const ModelCapability = z.enum([
-  'audioGeneration',
-  'cache',
-  'codeExecution',
-  'embedding',
-  'fineTuning',
-  'imageGeneration',
-  'OCR',
-  'realTime',
-  'rerank',
-  'reasoning',
-  'streaming',
-  'structuredOutput',
-  'textGeneration',
-  'translation',
-  'transcription',
-  'toolUse',
-  'videoGeneration',
-  'webSearch'
-])
-export type ModelCapability = z.infer<typeof ModelCapability>
-
-export const ModelSchema = z
-  .object({
-    id: z.string(),
-    modelId: z.string(),
-    providerId: z.string(),
-    name: z.string(),
-    group: z.string(),
-    description: z.string().optional(),
-    owned_by: z.string().optional(),
-
-    supportedInputs: z.array(InputType),
-    supportedOutputs: z.array(OutputType),
-    supportedOutputModes: z.array(OutputMode),
-
-    limits: z
-      .object({
-        inputTokenLimit: z.number().optional(),
-        outputTokenLimit: z.number().optional(),
-        contextWindow: z.number().optional()
-      })
-      .optional(),
-
-    price: z
-      .object({
-        inputTokenPrice: z.number().optional(),
-        outputTokenPrice: z.number().optional()
-      })
-      .optional(),
-
-    capabilities: z.array(ModelCapability)
-  })
-  .refine(
-    (data) => {
-      // 如果模型支持streaming，则必须支持streamingOutputMode
-      if (data.capabilities.includes('streaming') && !data.supportedOutputModes.includes('streaming')) {
-        return false
-      }
-
-      // 如果模型有OCR能力，则必须支持图像输入类型或者文件输入类型
-      if (
-        data.capabilities.includes('OCR') &&
-        !data.supportedInputs.includes('image') &&
-        !data.supportedInputs.includes('document')
-      ) {
-        return false
-      }
-
-      // 如果模型有图像生成能力，则必须支持图像输出
-      if (data.capabilities.includes('imageGeneration') && !data.supportedOutputs.includes('image')) {
-        return false
-      }
-
-      // 如果有音频生成能力，则必须支持音频输出类型
-      if (data.capabilities.includes('audioGeneration') && !data.supportedOutputs.includes('audio')) {
-        return false
-      }
-
-      // 如果有音频识别能力，则必须支持音频输入类型
-      if (
-        (data.capabilities.includes('transcription') || data.capabilities.includes('translation')) &&
-        !data.supportedInputs.includes('audio')
-      ) {
-        return false
-      }
-
-      // 如果有视频生成能力，则必须支持视频输出类型
-      if (data.capabilities.includes('videoGeneration') && !data.supportedOutputs.includes('video')) {
-        return false
-      }
-
-      // 如果模型有embedding能力，则必须支持向量输出类型
-      if (data.capabilities.includes('embedding') && !data.supportedOutputs.includes('vector')) {
-        return false
-      }
-
-      // 如果模型有toolUse, Reasoning, streaming, cache, codeExecution, imageGeneration, audioGeneration, videoGeneration， webSearch能力，则必须支持文字的输入
-      if (
-        (data.capabilities.includes('toolUse') ||
-          data.capabilities.includes('reasoning') ||
-          data.capabilities.includes('streaming') ||
-          data.capabilities.includes('cache') ||
-          data.capabilities.includes('codeExecution') ||
-          data.capabilities.includes('imageGeneration') ||
-          data.capabilities.includes('audioGeneration') ||
-          data.capabilities.includes('videoGeneration') ||
-          data.capabilities.includes('webSearch')) &&
-        !data.supportedInputs.includes('text')
-      ) {
-        return false
-      }
-
-      // 如果模型有toolUse, Reasoning, streaming, cache, codeExecution, OCR, textGeneration, translation, transcription, webSearch, structuredOutput能力，则必须支持文字的输出
-      if (
-        (data.capabilities.includes('toolUse') ||
-          data.capabilities.includes('reasoning') ||
-          data.capabilities.includes('streaming') ||
-          data.capabilities.includes('cache') ||
-          data.capabilities.includes('codeExecution') ||
-          data.capabilities.includes('OCR') ||
-          data.capabilities.includes('textGeneration') ||
-          data.capabilities.includes('translation') ||
-          data.capabilities.includes('transcription') ||
-          data.capabilities.includes('webSearch') ||
-          data.capabilities.includes('structuredOutput')) &&
-        !data.supportedOutputs.includes('text')
-      ) {
-        return false
-      }
-
-      return true
-    },
-    {
-      message: 'ModelCard has inconsistent capabilities and supported input/output type'
-    }
-  )
-
-export type ModelCard = z.infer<typeof ModelSchema>
-
-export function createModelCard(model: ModelCard): ModelCard {
-  return ModelSchema.parse(model)
-}
-
-export function supportesInputType(model: ModelCard, inputType: InputType) {
-  return model.supportedInputs.includes(inputType)
-}
-
-export function supportesOutputType(model: ModelCard, outputType: OutputType) {
-  return model.supportedOutputs.includes(outputType)
-}
-
-export function supportesOutputMode(model: ModelCard, outputMode: OutputMode) {
-  return model.supportedOutputModes.includes(outputMode)
-}
-
-export function supportesCapability(model: ModelCard, capability: ModelCapability) {
-  return model.capabilities.includes(capability)
-}
-
-export function isVisionModel(model: ModelCard) {
-  return supportesInputType(model, 'image')
-}
-
-export function isImageGenerationModel(model: ModelCard) {
-  return isVisionModel(model) && supportesCapability(model, 'imageGeneration')
-}
-
-export function isAudioModel(model: ModelCard) {
-  return supportesInputType(model, 'audio')
-}
-
-export function isAudioGenerationModel(model: ModelCard) {
-  return supportesCapability(model, 'audioGeneration')
-}
-
-export function isVideoModel(model: ModelCard) {
-  return supportesInputType(model, 'video')
-}
-
-export function isEmbedModel(model: ModelCard) {
-  return supportesOutputType(model, 'vector') && supportesCapability(model, 'embedding')
-}
-
-export function isTextEmbeddingModel(model: ModelCard) {
-  return isEmbedModel(model) && supportesInputType(model, 'text') && model.supportedInputs.length === 1
-}
-
-export function isMultiModalEmbeddingModel(model: ModelCard) {
-  return isEmbedModel(model) && model.supportedInputs.length > 1
-}
-
-export function isRerankModel(model: ModelCard) {
-  return supportesCapability(model, 'rerank')
-}
-
-export function isReasoningModel(model: ModelCard) {
-  return supportesCapability(model, 'reasoning')
-}
-
-export function isToolUseModel(model: ModelCard) {
-  return supportesCapability(model, 'toolUse')
-}
-
-export function isOnlyStreamingModel(model: ModelCard) {
-  return (
-    supportesCapability(model, 'streaming') &&
-    supportesOutputMode(model, 'streaming') &&
-    model.supportedOutputModes.length === 1
-  )
-}
diff --git a/src/renderer/src/types/newMessage.ts b/src/renderer/src/types/newMessage.ts
index 6005d75db..5e9a263ae 100644
--- a/src/renderer/src/types/newMessage.ts
+++ b/src/renderer/src/types/newMessage.ts
@@ -1,4 +1,4 @@
-import { CompletionUsage } from 'openai/resources'
+import type { CompletionUsage } from 'openai/resources'
 
 import type {
   Assistant,
diff --git a/src/renderer/src/types/bocha.ts b/src/renderer/src/utils/bocha.ts
similarity index 100%
rename from src/renderer/src/types/bocha.ts
rename to src/renderer/src/utils/bocha.ts