feat: upgrade middleware and model interfaces to support LanguageModelV3

chore: update ai-sdk dependencies and patch google SDK
- Removed patch for @ai-sdk/google version 2.0.20. - Updated @ai-sdk/google to version 3.0.0-beta.27 with a new patch. - Updated @ai-sdk/amazon-bedrock to version 4.0.0-beta.38. - Updated @ai-sdk/google-vertex to version 4.0.0-beta.42. - Updated @ai-sdk/mistral to version 3.0.0-beta.21. - Updated @ai-sdk/perplexity to version 3.0.0-beta.20. - Updated dependencies in @cherrystudio/ai-core to reflect new SDK versions. - Updated zod to version 4.1.12. - Updated ai to version 6.0.0-beta.66. - Updated package version for @cherrystudio/ai-core to 1.0.2. - Adjusted getModelPath function in google SDK to check for "models/" in modelId.
2025-10-23 06:42:27 +08:00 · 2025-10-23 06:22:45 +08:00
25 changed files with 272 additions and 237 deletions
--- a/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch
+++ b/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch
@@ -1,13 +0,0 @@
-diff --git a/dist/index.mjs b/dist/index.mjs
-index 69ab1599c76801dc1167551b6fa283dded123466..f0af43bba7ad1196fe05338817e65b4ebda40955 100644
--- a/dist/index.mjs
-+++ b/dist/index.mjs
-@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
- 
- // src/get-model-path.ts
- function getModelPath(modelId) {
-  return modelId.includes("/") ? modelId : `models/${modelId}`;
-+  return modelId?.includes("models/") ? modelId : `models/${modelId}`;
- }
- 
- // src/google-generative-ai-options.ts
--- a/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch
+++ b/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch
@@ -0,0 +1,22 @@
+diff --git a/dist/index.mjs b/dist/index.mjs
+index e89ff0185a2e317165abdeab9fa544f676386564..776237576e80f2afbda4e638dafff1544fdcf586 100644
+--- a/dist/index.mjs
+++ b/dist/index.mjs
+@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
+ 
+ // src/get-model-path.ts
+ function getModelPath(modelId) {
+-  return modelId.includes("/") ? modelId : `models/${modelId}`;
+  return modelId.includes("models/") ? modelId : `models/${modelId}`;
+ }
+ 
+ // src/google-generative-ai-options.ts
+@@ -599,7 +599,7 @@ function prepareTools({
+     "gemini-flash-latest",
+     "gemini-flash-lite-latest",
+     "gemini-pro-latest"
+-  ].some((id) => id === modelId);
+  ].some((id) => modelId.includes(id));
+   const isGemini2 = modelId.includes("gemini-2") || isLatest;
+   const supportsDynamicRetrieval = modelId.includes("gemini-1.5-flash") && !modelId.includes("-8b");
+   if (tools == null) {
--- a/package.json
+++ b/package.json
@@ -101,10 +101,10 @@
    "@agentic/exa": "^7.3.3",
    "@agentic/searxng": "^7.3.3",
    "@agentic/tavily": "^7.3.3",
-    "@ai-sdk/amazon-bedrock": "^3.0.35",
-    "@ai-sdk/google-vertex": "^3.0.40",
-    "@ai-sdk/mistral": "^2.0.19",
-    "@ai-sdk/perplexity": "^2.0.13",
+    "@ai-sdk/amazon-bedrock": "^4.0.0-beta.38",
+    "@ai-sdk/google-vertex": "^4.0.0-beta.42",
+    "@ai-sdk/mistral": "^3.0.0-beta.21",
+    "@ai-sdk/perplexity": "^3.0.0-beta.20",
    "@ant-design/v5-patch-for-react-19": "^1.0.3",
    "@anthropic-ai/sdk": "^0.41.0",
    "@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
@@ -112,7 +112,7 @@
    "@aws-sdk/client-bedrock-runtime": "^3.840.0",
    "@aws-sdk/client-s3": "^3.840.0",
    "@biomejs/biome": "2.2.4",
-    "@cherrystudio/ai-core": "workspace:^1.0.0-alpha.18",
+    "@cherrystudio/ai-core": "workspace:^1.0.3",
    "@cherrystudio/embedjs": "^0.1.31",
    "@cherrystudio/embedjs-libsql": "^0.1.31",
    "@cherrystudio/embedjs-loader-csv": "^0.1.31",
@@ -223,7 +223,7 @@
    "@viz-js/lang-dot": "^1.0.5",
    "@viz-js/viz": "^3.14.0",
    "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.68",
+    "ai": "^6.0.0-beta.66",
    "antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
    "archiver": "^7.0.1",
    "async-mutex": "^0.5.0",
@@ -361,7 +361,7 @@
    "yjs": "^13.6.27",
    "youtubei.js": "^15.0.1",
    "zipread": "^1.3.3",
-    "zod": "^4.1.5"
+    "zod": "^4.1.12"
  },
  "resolutions": {
    "@codemirror/language": "6.11.3",
@@ -385,13 +385,13 @@
    "undici": "6.21.2",
    "vite": "npm:rolldown-vite@7.1.5",
    "tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
-    "@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch",
    "@img/sharp-darwin-arm64": "0.34.3",
    "@img/sharp-darwin-x64": "0.34.3",
    "@img/sharp-linux-arm": "0.34.3",
    "@img/sharp-linux-arm64": "0.34.3",
    "@img/sharp-linux-x64": "0.34.3",
-    "@img/sharp-win32-x64": "0.34.3"
+    "@img/sharp-win32-x64": "0.34.3",
+    "@ai-sdk/google@npm:3.0.0-beta.27": "patch:@ai-sdk/google@npm%3A3.0.0-beta.27#~/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch"
  },
  "packageManager": "yarn@4.9.1",
  "lint-staged": {
--- a/packages/aiCore/package.json
+++ b/packages/aiCore/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@cherrystudio/ai-core",
-  "version": "1.0.1",
+  "version": "1.0.3",
  "description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
  "main": "dist/index.js",
  "module": "dist/index.mjs",
@@ -36,15 +36,16 @@
    "ai": "^5.0.26"
  },
  "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.27",
-    "@ai-sdk/azure": "^2.0.49",
-    "@ai-sdk/deepseek": "^1.0.23",
-    "@ai-sdk/openai": "^2.0.48",
-    "@ai-sdk/openai-compatible": "^1.0.22",
-    "@ai-sdk/provider": "^2.0.0",
-    "@ai-sdk/provider-utils": "^3.0.12",
-    "@ai-sdk/xai": "^2.0.26",
-    "zod": "^4.1.5"
+    "@ai-sdk/anthropic": "^3.0.0-beta.34",
+    "@ai-sdk/azure": "^3.0.0-beta.34",
+    "@ai-sdk/deepseek": "^2.0.0-beta.21",
+    "@ai-sdk/google": "patch:@ai-sdk/google@npm%3A3.0.0-beta.27#~/.yarn/patches/@ai-sdk-google-npm-3.0.0-beta.27-8900c301e6.patch",
+    "@ai-sdk/openai": "^3.0.0-beta.34",
+    "@ai-sdk/openai-compatible": "^2.0.0-beta.21",
+    "@ai-sdk/provider": "^3.0.0-beta.8",
+    "@ai-sdk/provider-utils": "^4.0.0-beta.20",
+    "@ai-sdk/xai": "^3.0.0-beta.22",
+    "zod": "^4.1.12"
  },
  "devDependencies": {
    "tsdown": "^0.12.9",
--- a/packages/aiCore/src/core/middleware/manager.ts
+++ b/packages/aiCore/src/core/middleware/manager.ts
@@ -2,15 +2,15 @@
 * 中间件管理器
 * 专注于 AI SDK 中间件的管理，与插件系统分离
 */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV3Middleware } from '@ai-sdk/provider'

 /**
 * 创建中间件列表
 * 合并用户提供的中间件
 */
-export function createMiddlewares(userMiddlewares: LanguageModelV2Middleware[] = []): LanguageModelV2Middleware[] {
+export function createMiddlewares(userMiddlewares: LanguageModelV3Middleware[] = []): LanguageModelV3Middleware[] {
  // 未来可以在这里添加默认的中间件
-  const defaultMiddlewares: LanguageModelV2Middleware[] = []
+  const defaultMiddlewares: LanguageModelV3Middleware[] = []

  return [...defaultMiddlewares, ...userMiddlewares]
 }
--- a/packages/aiCore/src/core/middleware/types.ts
+++ b/packages/aiCore/src/core/middleware/types.ts
@@ -1,12 +1,12 @@
 /**
 * 中间件系统类型定义
 */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV3Middleware } from '@ai-sdk/provider'

 /**
 * 具名中间件接口
 */
 export interface NamedMiddleware {
  name: string
-  middleware: LanguageModelV2Middleware
+  middleware: LanguageModelV3Middleware
 }
--- a/packages/aiCore/src/core/middleware/wrapper.ts
+++ b/packages/aiCore/src/core/middleware/wrapper.ts
@@ -2,16 +2,16 @@
 * 模型包装工具函数
 * 用于将中间件应用到LanguageModel上
 */
-import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'
 import { wrapLanguageModel } from 'ai'

 /**
 * 使用中间件包装模型
 */
 export function wrapModelWithMiddlewares(
-  model: LanguageModelV2,
-  middlewares: LanguageModelV2Middleware[]
-): LanguageModelV2 {
+  model: LanguageModelV3,
+  middlewares: LanguageModelV3Middleware[]
+): LanguageModelV3 {
  if (middlewares.length === 0) {
    return model
  }
--- a/packages/aiCore/src/core/models/ModelResolver.ts
+++ b/packages/aiCore/src/core/models/ModelResolver.ts
@@ -5,7 +5,7 @@
 * 集成了来自 ModelCreator 的特殊处理逻辑
 */

-import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { EmbeddingModelV3, ImageModelV3, LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'

 import { wrapModelWithMiddlewares } from '../middleware/wrapper'
 import { DEFAULT_SEPARATOR, globalRegistryManagement } from '../providers/RegistryManagement'
@@ -23,10 +23,10 @@ export class ModelResolver {
    modelId: string,
    fallbackProviderId: string,
    providerOptions?: any,
-    middlewares?: LanguageModelV2Middleware[]
-  ): Promise<LanguageModelV2> {
+    middlewares?: LanguageModelV3Middleware[]
+  ): Promise<LanguageModelV3> {
    let finalProviderId = fallbackProviderId
-    let model: LanguageModelV2
+    let model: LanguageModelV3
    // 🎯 处理 OpenAI 模式选择逻辑 (从 ModelCreator 迁移)
    if ((fallbackProviderId === 'openai' || fallbackProviderId === 'azure') && providerOptions?.mode === 'chat') {
      finalProviderId = `${fallbackProviderId}-chat`
@@ -51,7 +51,7 @@ export class ModelResolver {
  /**
   * 解析文本嵌入模型
   */
-  async resolveTextEmbeddingModel(modelId: string, fallbackProviderId: string): Promise<EmbeddingModelV2<string>> {
+  async resolveTextEmbeddingModel(modelId: string, fallbackProviderId: string): Promise<EmbeddingModelV3<string>> {
    if (modelId.includes(DEFAULT_SEPARATOR)) {
      return this.resolveNamespacedEmbeddingModel(modelId)
    }
@@ -62,7 +62,7 @@ export class ModelResolver {
  /**
   * 解析图像模型
   */
-  async resolveImageModel(modelId: string, fallbackProviderId: string): Promise<ImageModelV2> {
+  async resolveImageModel(modelId: string, fallbackProviderId: string): Promise<ImageModelV3> {
    if (modelId.includes(DEFAULT_SEPARATOR)) {
      return this.resolveNamespacedImageModel(modelId)
    }
@@ -74,7 +74,7 @@ export class ModelResolver {
   * 解析命名空间格式的语言模型
   * aihubmix:anthropic:claude-3 -> globalRegistryManagement.languageModel('aihubmix:anthropic:claude-3')
   */
-  private resolveNamespacedModel(modelId: string): LanguageModelV2 {
+  private resolveNamespacedModel(modelId: string): LanguageModelV3 {
    return globalRegistryManagement.languageModel(modelId as any)
  }

@@ -82,7 +82,7 @@ export class ModelResolver {
   * 解析传统格式的语言模型
   * providerId: 'openai', modelId: 'gpt-4' -> globalRegistryManagement.languageModel('openai:gpt-4')
   */
-  private resolveTraditionalModel(providerId: string, modelId: string): LanguageModelV2 {
+  private resolveTraditionalModel(providerId: string, modelId: string): LanguageModelV3 {
    const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
    return globalRegistryManagement.languageModel(fullModelId as any)
  }
@@ -90,14 +90,14 @@ export class ModelResolver {
  /**
   * 解析命名空间格式的嵌入模型
   */
-  private resolveNamespacedEmbeddingModel(modelId: string): EmbeddingModelV2<string> {
+  private resolveNamespacedEmbeddingModel(modelId: string): EmbeddingModelV3<string> {
    return globalRegistryManagement.textEmbeddingModel(modelId as any)
  }

  /**
   * 解析传统格式的嵌入模型
   */
-  private resolveTraditionalEmbeddingModel(providerId: string, modelId: string): EmbeddingModelV2<string> {
+  private resolveTraditionalEmbeddingModel(providerId: string, modelId: string): EmbeddingModelV3<string> {
    const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
    return globalRegistryManagement.textEmbeddingModel(fullModelId as any)
  }
@@ -105,14 +105,14 @@ export class ModelResolver {
  /**
   * 解析命名空间格式的图像模型
   */
-  private resolveNamespacedImageModel(modelId: string): ImageModelV2 {
+  private resolveNamespacedImageModel(modelId: string): ImageModelV3 {
    return globalRegistryManagement.imageModel(modelId as any)
  }

  /**
   * 解析传统格式的图像模型
   */
-  private resolveTraditionalImageModel(providerId: string, modelId: string): ImageModelV2 {
+  private resolveTraditionalImageModel(providerId: string, modelId: string): ImageModelV3 {
    const fullModelId = `${providerId}${DEFAULT_SEPARATOR}${modelId}`
    return globalRegistryManagement.imageModel(fullModelId as any)
  }
--- a/packages/aiCore/src/core/models/types.ts
+++ b/packages/aiCore/src/core/models/types.ts
@@ -1,7 +1,7 @@
 /**
 * Creation 模块类型定义
 */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV3Middleware } from '@ai-sdk/provider'

 import type { ProviderId, ProviderSettingsMap } from '../providers/types'

@@ -9,7 +9,7 @@ export interface ModelConfig<T extends ProviderId = ProviderId> {
  providerId: T
  modelId: string
  providerSettings: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' }
-  middlewares?: LanguageModelV2Middleware[]
+  middlewares?: LanguageModelV3Middleware[]
  // 额外模型参数
  extraModelConfig?: Record<string, any>
 }
--- a/packages/aiCore/src/core/options/types.ts
+++ b/packages/aiCore/src/core/options/types.ts
@@ -1,11 +1,11 @@
 import { type AnthropicProviderOptions } from '@ai-sdk/anthropic'
 import { type GoogleGenerativeAIProviderOptions } from '@ai-sdk/google'
 import { type OpenAIResponsesProviderOptions } from '@ai-sdk/openai'
-import { type SharedV2ProviderMetadata } from '@ai-sdk/provider'
+import { type SharedV3ProviderMetadata } from '@ai-sdk/provider'
 import { type XaiProviderOptions } from '@ai-sdk/xai'
 import { type OpenRouterProviderOptions } from '@openrouter/ai-sdk-provider'

-export type ProviderOptions<T extends keyof SharedV2ProviderMetadata> = SharedV2ProviderMetadata[T]
+export type ProviderOptions<T extends keyof SharedV3ProviderMetadata> = SharedV3ProviderMetadata[T]

 /**
 * 供应商选项类型，如果map中没有，说明没有约束
@@ -29,4 +29,4 @@ export type TypedProviderOptions = {
  [K in keyof ProviderOptionsMap]?: ProviderOptionsMap[K]
 } & {
  [K in string]?: Record<string, any>
-} & SharedV2ProviderMetadata
+} & SharedV3ProviderMetadata
--- a/packages/aiCore/src/core/plugins/index.ts
+++ b/packages/aiCore/src/core/plugins/index.ts
@@ -1,6 +1,6 @@
 // 核心类型和接口
 export type { AiPlugin, AiRequestContext, HookResult, PluginManagerConfig } from './types'
-import type { ImageModelV2 } from '@ai-sdk/provider'
+import type { ImageModelV3 } from '@ai-sdk/provider'
 import type { LanguageModel } from 'ai'

 import type { ProviderId } from '../providers'
@@ -12,7 +12,7 @@ export { PluginManager } from './manager'
 // 工具函数
 export function createContext<T extends ProviderId>(
  providerId: T,
-  model: LanguageModel | ImageModelV2,
+  model: LanguageModel | ImageModelV3,
  originalParams: any
 ): AiRequestContext {
  return {
--- a/packages/aiCore/src/core/plugins/types.ts
+++ b/packages/aiCore/src/core/plugins/types.ts
@@ -1,4 +1,4 @@
-import type { ImageModelV2 } from '@ai-sdk/provider'
+import type { ImageModelV3 } from '@ai-sdk/provider'
 import type { LanguageModel, TextStreamPart, ToolSet } from 'ai'

 import { type ProviderId } from '../providers/types'
@@ -14,7 +14,7 @@ export type RecursiveCallFn = (newParams: any) => Promise<any>
 */
 export interface AiRequestContext {
  providerId: ProviderId
-  model: LanguageModel | ImageModelV2
+  model: LanguageModel | ImageModelV3
  originalParams: any
  metadata: Record<string, any>
  startTime: number
@@ -36,7 +36,7 @@ export interface AiPlugin {
  resolveModel?: (
    modelId: string,
    context: AiRequestContext
-  ) => Promise<LanguageModel | ImageModelV2 | null> | LanguageModel | ImageModelV2 | null
+  ) => Promise<LanguageModel | ImageModelV3 | null> | LanguageModel | ImageModelV3 | null
  loadTemplate?: (templateName: string, context: AiRequestContext) => any | null | Promise<any | null>

  // 【Sequential】串行钩子 - 链式执行，支持数据转换
--- a/packages/aiCore/src/core/providers/HubProvider.ts
+++ b/packages/aiCore/src/core/providers/HubProvider.ts
@@ -5,7 +5,7 @@
 * 例如: aihubmix:anthropic:claude-3.5-sonnet
 */

-import { ProviderV2 } from '@ai-sdk/provider'
+import { ProviderV3 as Provider } from '@ai-sdk/provider'
 import { customProvider } from 'ai'

 import { globalRegistryManagement } from './RegistryManagement'
@@ -47,10 +47,10 @@ function parseHubModelId(modelId: string): { provider: string; actualModelId: st
 /**
 * 创建Hub Provider
 */
-export function createHubProvider(config: HubProviderConfig): ProviderV2 {
+export function createHubProvider(config: HubProviderConfig): Provider {
  const { hubId } = config

-  function getTargetProvider(providerId: string): ProviderV2 {
+  function getTargetProvider(providerId: string): Provider {
    // 从全局注册表获取provider实例
    try {
      const provider = globalRegistryManagement.getProvider(providerId)
--- a/packages/aiCore/src/core/providers/RegistryManagement.ts
+++ b/packages/aiCore/src/core/providers/RegistryManagement.ts
@@ -4,10 +4,15 @@
 * 基于 AI SDK 原生的 createProviderRegistry
 */

-import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
+import {
+  EmbeddingModelV3 as EmbeddingModel,
+  ImageModelV3 as ImageModel,
+  LanguageModelV3 as LanguageModel,
+  ProviderV3 as Provider
+} from '@ai-sdk/provider'
 import { createProviderRegistry, type ProviderRegistryProvider } from 'ai'

-type PROVIDERS = Record<string, ProviderV2>
+type PROVIDERS = Record<string, Provider>

 export const DEFAULT_SEPARATOR = '|'

@@ -26,7 +31,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
  /**
   * 注册已配置好的 provider 实例
   */
-  registerProvider(id: string, provider: ProviderV2, aliases?: string[]): this {
+  registerProvider(id: string, provider: Provider, aliases?: string[]): this {
    // 注册主provider
    this.providers[id] = provider

@@ -45,14 +50,14 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
  /**
   * 获取已注册的provider实例
   */
-  getProvider(id: string): ProviderV2 | undefined {
+  getProvider(id: string): Provider | undefined {
    return this.providers[id]
  }

  /**
   * 批量注册 providers
   */
-  registerProviders(providers: Record<string, ProviderV2>): this {
+  registerProviders(providers: Record<string, Provider>): this {
    Object.assign(this.providers, providers)
    this.rebuildRegistry()
    return this
@@ -106,7 +111,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
  /**
   * 获取语言模型 - AI SDK 原生方法
   */
-  languageModel(id: `${string}${SEPARATOR}${string}`): LanguageModelV2 {
+  languageModel(id: `${string}${SEPARATOR}${string}`): LanguageModel {
    if (!this.registry) {
      throw new Error('No providers registered')
    }
@@ -116,7 +121,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
  /**
   * 获取文本嵌入模型 - AI SDK 原生方法
   */
-  textEmbeddingModel(id: `${string}${SEPARATOR}${string}`): EmbeddingModelV2<string> {
+  textEmbeddingModel(id: `${string}${SEPARATOR}${string}`): EmbeddingModel<string> {
    if (!this.registry) {
      throw new Error('No providers registered')
    }
@@ -126,7 +131,7 @@ export class RegistryManagement<SEPARATOR extends string = typeof DEFAULT_SEPARA
  /**
   * 获取图像模型 - AI SDK 原生方法
   */
-  imageModel(id: `${string}${SEPARATOR}${string}`): ImageModelV2 {
+  imageModel(id: `${string}${SEPARATOR}${string}`): ImageModel {
    if (!this.registry) {
      throw new Error('No providers registered')
    }
--- a/packages/aiCore/src/core/providers/schemas.ts
+++ b/packages/aiCore/src/core/providers/schemas.ts
@@ -9,7 +9,7 @@ import { createDeepSeek } from '@ai-sdk/deepseek'
 import { createGoogleGenerativeAI } from '@ai-sdk/google'
 import { createOpenAI, type OpenAIProviderSettings } from '@ai-sdk/openai'
 import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
-import { LanguageModelV2 } from '@ai-sdk/provider'
+import { LanguageModelV2, LanguageModelV3 } from '@ai-sdk/provider'
 import { createXai } from '@ai-sdk/xai'
 import { createOpenRouter } from '@openrouter/ai-sdk-provider'
 import { customProvider, Provider } from 'ai'
@@ -48,7 +48,7 @@ export const isBaseProvider = (id: ProviderId): id is BaseProviderId => {
 type BaseProvider = {
  id: BaseProviderId
  name: string
-  creator: (options: any) => Provider | LanguageModelV2
+  creator: (options: any) => Provider | LanguageModelV2 | LanguageModelV3
  supportsImageGeneration: boolean
 }

--- a/packages/aiCore/src/core/providers/types.ts
+++ b/packages/aiCore/src/core/providers/types.ts
@@ -5,12 +5,12 @@ import { type GoogleGenerativeAIProviderSettings } from '@ai-sdk/google'
 import { type OpenAIProviderSettings } from '@ai-sdk/openai'
 import { type OpenAICompatibleProviderSettings } from '@ai-sdk/openai-compatible'
 import {
-  EmbeddingModelV2 as EmbeddingModel,
-  ImageModelV2 as ImageModel,
-  LanguageModelV2 as LanguageModel,
-  ProviderV2,
-  SpeechModelV2 as SpeechModel,
-  TranscriptionModelV2 as TranscriptionModel
+  EmbeddingModelV3 as EmbeddingModel,
+  ImageModelV3 as ImageModel,
+  LanguageModelV3 as LanguageModel,
+  ProviderV3 as Provider,
+  SpeechModelV3 as SpeechModel,
+  TranscriptionModelV3 as TranscriptionModel
 } from '@ai-sdk/provider'
 import { type XaiProviderSettings } from '@ai-sdk/xai'

@@ -79,9 +79,9 @@ export const METHOD_MAP = {
  embedding: 'textEmbeddingModel',
  transcription: 'transcriptionModel',
  speech: 'speechModel'
-} as const satisfies Record<AiSdkModelType, keyof ProviderV2>
+} as const satisfies Record<AiSdkModelType, keyof Provider>

-export type AiSdkModelMethodMap = Record<AiSdkModelType, keyof ProviderV2>
+export type AiSdkModelMethodMap = Record<AiSdkModelType, keyof Provider>

 export type AiSdkModelReturnMap = {
  text: LanguageModel
--- a/packages/aiCore/src/core/runtime/tests/generateImage.test.ts
+++ b/packages/aiCore/src/core/runtime/tests/generateImage.test.ts
@@ -1,4 +1,4 @@
-import { ImageModelV2 } from '@ai-sdk/provider'
+import { ImageModelV3 } from '@ai-sdk/provider'
 import { experimental_generateImage as aiGenerateImage, NoImageGeneratedError } from 'ai'
 import { beforeEach, describe, expect, it, vi } from 'vitest'

@@ -28,7 +28,7 @@ vi.mock('../../providers/RegistryManagement', () => ({

 describe('RuntimeExecutor.generateImage', () => {
  let executor: RuntimeExecutor<'openai'>
-  let mockImageModel: ImageModelV2
+  let mockImageModel: ImageModelV3
  let mockGenerateImageResult: any

  beforeEach(() => {
@@ -44,7 +44,7 @@ describe('RuntimeExecutor.generateImage', () => {
    mockImageModel = {
      modelId: 'dall-e-3',
      provider: 'openai'
-    } as ImageModelV2
+    } as ImageModelV3

    // Mock generateImage result
    mockGenerateImageResult = {
@@ -256,7 +256,7 @@ describe('RuntimeExecutor.generateImage', () => {
      const customImageModel = {
        modelId: 'custom-model',
        provider: 'openai'
-      } as ImageModelV2
+      } as ImageModelV3

      const modelResolutionPlugin: AiPlugin = {
        name: 'model-resolver',
--- a/packages/aiCore/src/core/runtime/executor.ts
+++ b/packages/aiCore/src/core/runtime/executor.ts
@@ -2,7 +2,7 @@
 * 运行时执行器
 * 专注于插件化的AI调用处理
 */
-import { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { ImageModelV3, LanguageModelV2, LanguageModelV3, LanguageModelV3Middleware } from '@ai-sdk/provider'
 import {
  experimental_generateImage as _generateImage,
  generateObject as _generateObject,
@@ -44,7 +44,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
    this.pluginEngine = new PluginEngine(config.providerId, config.plugins || [])
  }

-  private createResolveModelPlugin(middlewares?: LanguageModelV2Middleware[]) {
+  private createResolveModelPlugin(middlewares?: LanguageModelV3Middleware[]) {
    return definePlugin({
      name: '_internal_resolveModel',
      enforce: 'post',
@@ -84,7 +84,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
  async streamText(
    params: streamTextParams,
    options?: {
-      middlewares?: LanguageModelV2Middleware[]
+      middlewares?: LanguageModelV3Middleware[]
    }
  ): Promise<ReturnType<typeof _streamText>> {
    const { model } = params
@@ -123,7 +123,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
  async generateText(
    params: generateTextParams,
    options?: {
-      middlewares?: LanguageModelV2Middleware[]
+      middlewares?: LanguageModelV3Middleware[]
    }
  ): Promise<ReturnType<typeof _generateText>> {
    const { model } = params
@@ -151,7 +151,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
  async generateObject(
    params: generateObjectParams,
    options?: {
-      middlewares?: LanguageModelV2Middleware[]
+      middlewares?: LanguageModelV3Middleware[]
    }
  ): Promise<ReturnType<typeof _generateObject>> {
    const { model } = params
@@ -179,7 +179,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
  streamObject(
    params: streamObjectParams,
    options?: {
-      middlewares?: LanguageModelV2Middleware[]
+      middlewares?: LanguageModelV3Middleware[]
    }
  ): Promise<ReturnType<typeof _streamObject>> {
    const { model } = params
@@ -237,8 +237,8 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
   */
  private async resolveModel(
    modelOrId: LanguageModel,
-    middlewares?: LanguageModelV2Middleware[]
-  ): Promise<LanguageModelV2> {
+    middlewares?: LanguageModelV3Middleware[]
+  ): Promise<LanguageModelV2 | LanguageModelV3> {
    if (typeof modelOrId === 'string') {
      // 🎯 字符串modelId，使用新的ModelResolver解析，传递完整参数
      return await globalModelResolver.resolveLanguageModel(
@@ -256,7 +256,7 @@ export class RuntimeExecutor<T extends ProviderId = ProviderId> {
  /**
   * 解析图像模型：如果是字符串则创建图像模型，如果是模型则直接返回
   */
-  private async resolveImageModel(modelOrId: ImageModelV2 | string): Promise<ImageModelV2> {
+  private async resolveImageModel(modelOrId: ImageModelV3 | string): Promise<ImageModelV3> {
    try {
      if (typeof modelOrId === 'string') {
        // 字符串modelId，使用新的ModelResolver解析
--- a/packages/aiCore/src/core/runtime/index.ts
+++ b/packages/aiCore/src/core/runtime/index.ts
@@ -11,7 +11,7 @@ export type { RuntimeConfig } from './types'

 // === 便捷工厂函数 ===

-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV3Middleware } from '@ai-sdk/provider'

 import { type AiPlugin } from '../plugins'
 import { type ProviderId, type ProviderSettingsMap } from '../providers/types'
@@ -48,7 +48,7 @@ export async function streamText<T extends ProviderId>(
  options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
  params: Parameters<RuntimeExecutor<T>['streamText']>[0],
  plugins?: AiPlugin[],
-  middlewares?: LanguageModelV2Middleware[]
+  middlewares?: LanguageModelV3Middleware[]
 ): Promise<ReturnType<RuntimeExecutor<T>['streamText']>> {
  const executor = createExecutor(providerId, options, plugins)
  return executor.streamText(params, { middlewares })
@@ -62,7 +62,7 @@ export async function generateText<T extends ProviderId>(
  options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
  params: Parameters<RuntimeExecutor<T>['generateText']>[0],
  plugins?: AiPlugin[],
-  middlewares?: LanguageModelV2Middleware[]
+  middlewares?: LanguageModelV3Middleware[]
 ): Promise<ReturnType<RuntimeExecutor<T>['generateText']>> {
  const executor = createExecutor(providerId, options, plugins)
  return executor.generateText(params, { middlewares })
@@ -76,7 +76,7 @@ export async function generateObject<T extends ProviderId>(
  options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
  params: Parameters<RuntimeExecutor<T>['generateObject']>[0],
  plugins?: AiPlugin[],
-  middlewares?: LanguageModelV2Middleware[]
+  middlewares?: LanguageModelV3Middleware[]
 ): Promise<ReturnType<RuntimeExecutor<T>['generateObject']>> {
  const executor = createExecutor(providerId, options, plugins)
  return executor.generateObject(params, { middlewares })
@@ -90,7 +90,7 @@ export async function streamObject<T extends ProviderId>(
  options: ProviderSettingsMap[T] & { mode?: 'chat' | 'responses' },
  params: Parameters<RuntimeExecutor<T>['streamObject']>[0],
  plugins?: AiPlugin[],
-  middlewares?: LanguageModelV2Middleware[]
+  middlewares?: LanguageModelV3Middleware[]
 ): Promise<ReturnType<RuntimeExecutor<T>['streamObject']>> {
  const executor = createExecutor(providerId, options, plugins)
  return executor.streamObject(params, { middlewares })
--- a/packages/aiCore/src/core/runtime/pluginEngine.ts
+++ b/packages/aiCore/src/core/runtime/pluginEngine.ts
@@ -1,5 +1,5 @@
 /* eslint-disable @eslint-react/naming-convention/context-name */
-import { ImageModelV2 } from '@ai-sdk/provider'
+import { ImageModelV3 } from '@ai-sdk/provider'
 import { experimental_generateImage, generateObject, generateText, LanguageModel, streamObject, streamText } from 'ai'

 import { type AiPlugin, createContext, PluginManager } from '../plugins'
@@ -141,16 +141,16 @@ export class PluginEngine<T extends ProviderId = ProviderId> {
   * 提供给AiExecutor使用
   */
  async executeImageWithPlugins<
-    TParams extends Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & { model: string | ImageModelV2 },
+    TParams extends Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & { model: string | ImageModelV3 },
    TResult extends ReturnType<typeof experimental_generateImage>
  >(
    methodName: string,
    params: TParams,
-    executor: (model: ImageModelV2, transformedParams: TParams) => TResult,
+    executor: (model: ImageModelV3, transformedParams: TParams) => TResult,
    _context?: ReturnType<typeof createContext>
  ): Promise<TResult> {
    // 统一处理模型解析
-    let resolvedModel: ImageModelV2 | undefined
+    let resolvedModel: ImageModelV3 | undefined
    let modelId: string
    const { model } = params
    if (typeof model === 'string') {
@@ -183,7 +183,7 @@ export class PluginEngine<T extends ProviderId = ProviderId> {

      // 2. 解析模型（如果是字符串）
      if (typeof model === 'string') {
-        const resolved = await this.pluginManager.executeFirst<ImageModelV2>('resolveModel', modelId, context)
+        const resolved = await this.pluginManager.executeFirst<ImageModelV3>('resolveModel', modelId, context)
        if (!resolved) {
          throw new Error(`Failed to resolve image model: ${modelId}`)
        }
--- a/packages/aiCore/src/core/runtime/types.ts
+++ b/packages/aiCore/src/core/runtime/types.ts
@@ -1,7 +1,7 @@
 /**
 * Runtime 层类型定义
 */
-import { ImageModelV2 } from '@ai-sdk/provider'
+import { ImageModelV3 } from '@ai-sdk/provider'
 import { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'

 import { type ModelConfig } from '../models/types'
@@ -18,7 +18,7 @@ export interface RuntimeConfig<T extends ProviderId = ProviderId> {
 }

 export type generateImageParams = Omit<Parameters<typeof experimental_generateImage>[0], 'model'> & {
-  model: string | ImageModelV2
+  model: string | ImageModelV3
 }
 export type generateObjectParams = Parameters<typeof generateObject>[0]
 export type generateTextParams = Parameters<typeof generateText>[0]
--- a/packages/aiCore/src/index.ts
+++ b/packages/aiCore/src/index.ts
@@ -26,7 +26,7 @@ export { PluginEngine } from './core/runtime/pluginEngine'

 // ==================== AI SDK 常用类型导出 ====================
 // 直接导出 AI SDK 的常用类型，方便使用
-export type { LanguageModelV2Middleware, LanguageModelV2StreamPart } from '@ai-sdk/provider'
+export type { LanguageModelV3Middleware, LanguageModelV3StreamPart } from '@ai-sdk/provider'
 export type { ToolCall } from '@ai-sdk/provider-utils'
 export type { ReasoningPart } from '@ai-sdk/provider-utils'

--- a/src/main/services/agents/services/claudecode/map-claude-code-finish-reason.ts
+++ b/src/main/services/agents/services/claudecode/map-claude-code-finish-reason.ts
@@ -1,5 +1,5 @@
 // ported from https://github.com/ben-vargas/ai-sdk-provider-claude-code/blob/main/src/map-claude-code-finish-reason.ts#L22
-import type { LanguageModelV2FinishReason } from '@ai-sdk/provider'
+import type { LanguageModelV3FinishReason } from '@ai-sdk/provider'

 /**
 * Maps Claude Code SDK result subtypes to AI SDK finish reasons.
@@ -20,7 +20,7 @@ import type { LanguageModelV2FinishReason } from '@ai-sdk/provider'
 * - 'error_during_execution' -> 'error' (execution error)
 * - default -> 'stop' (unknown subtypes treated as normal completion)
 */
-export function mapClaudeCodeFinishReason(subtype?: string): LanguageModelV2FinishReason {
+export function mapClaudeCodeFinishReason(subtype?: string): LanguageModelV3FinishReason {
  switch (subtype) {
    case 'success':
      return 'stop'
--- a/src/renderer/src/types/index.ts
+++ b/src/renderer/src/types/index.ts
@@ -1,4 +1,4 @@
-import type { LanguageModelV2Source } from '@ai-sdk/provider'
+import type { LanguageModelV3Source } from '@ai-sdk/provider'
 import type { WebSearchResultBlock } from '@anthropic-ai/sdk/resources'
 import type OpenAI from '@cherrystudio/openai'
 import type { GenerateImagesConfig, GroundingMetadata, PersonGeneration } from '@google/genai'
@@ -614,7 +614,7 @@ export type WebSearchProviderResponse = {
  results: WebSearchProviderResult[]
 }

-export type AISDKWebSearchResult = Omit<Extract<LanguageModelV2Source, { sourceType: 'url' }>, 'sourceType'>
+export type AISDKWebSearchResult = Omit<Extract<LanguageModelV3Source, { sourceType: 'url' }>, 'sourceType'>

 export type WebSearchResults =
  | WebSearchProviderResponse
--- a/yarn.lock
+++ b/yarn.lock
@@ -74,133 +74,133 @@ __metadata:
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  linkType: hard

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-  resolution: "@ai-sdk/amazon-bedrock@npm:3.0.35"
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-    "@ai-sdk/provider-utils": "npm:3.0.12"
+    "@ai-sdk/anthropic": "npm:3.0.0-beta.34"
+    "@ai-sdk/provider": "npm:3.0.0-beta.8"
+    "@ai-sdk/provider-utils": "npm:4.0.0-beta.20"
    "@smithy/eventstream-codec": "npm:^4.0.1"
    "@smithy/util-utf8": "npm:^4.0.0"
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