fix(conversation): set context length to 1 for gemini-2.5-flash-image model

Set context count to 1 for gemini-2.5-flash-image (Nano Banana) model to fix continuous conversation failures. This ensures the model only receives the most recent message, preventing context-related errors.

Changes:
- Add isGeminiGenerateImageModel utility to identify Nano Banana models
- Override contextCount to 1 when using gemini-2.5-flash-image
- Remove the previous +2 offset from contextCount calculation

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.6.5",
+  "version": "1.7.0-rc.1",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -108,8 +108,10 @@
     "@agentic/searxng": "^7.3.3",
     "@agentic/tavily": "^7.3.3",
     "@ai-sdk/amazon-bedrock": "^3.0.53",
+    "@ai-sdk/anthropic": "^2.0.44",
     "@ai-sdk/cerebras": "^1.0.31",
     "@ai-sdk/gateway": "^2.0.9",
+    "@ai-sdk/google": "^2.0.32",
     "@ai-sdk/google-vertex": "^3.0.62",
     "@ai-sdk/huggingface": "patch:@ai-sdk/huggingface@npm%3A0.0.8#~/.yarn/patches/@ai-sdk-huggingface-npm-0.0.8-d4d0aaac93.patch",
     "@ai-sdk/mistral": "^2.0.23",
@@ -135,7 +137,7 @@
     "@cherrystudio/embedjs-ollama": "^0.1.31",
     "@cherrystudio/embedjs-openai": "^0.1.31",
     "@cherrystudio/extension-table-plus": "workspace:^",
-    "@cherrystudio/openai": "^6.5.0",
+    "@cherrystudio/openai": "^6.9.0",
     "@dnd-kit/core": "^6.3.1",
     "@dnd-kit/modifiers": "^9.0.0",
     "@dnd-kit/sortable": "^10.0.0",
@@ -165,7 +167,7 @@
     "@opentelemetry/sdk-trace-base": "^2.0.0",
     "@opentelemetry/sdk-trace-node": "^2.0.0",
     "@opentelemetry/sdk-trace-web": "^2.0.0",
-    "@opeoginni/github-copilot-openai-compatible": "0.1.19",
+    "@opeoginni/github-copilot-openai-compatible": "0.1.21",
     "@playwright/test": "^1.52.0",
     "@radix-ui/react-context-menu": "^2.2.16",
     "@reduxjs/toolkit": "^2.2.5",

packages/shared/config/constant.ts

@@ -199,7 +199,7 @@ export enum FeedUrl {
 
 export enum UpdateConfigUrl {
   GITHUB = 'https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json',
-  GITCODE = 'https://raw.gitcode.com/CherryHQ/cherry-studio/raw/x-files/app-upgrade-config/app-upgrade-config.json'
+  GITCODE = 'https://raw.gitcode.com/CherryHQ/cherry-studio/raw/x-files%2Fapp-upgrade-config/app-upgrade-config.json'
 }
 
 export enum UpgradeChannel {

src/main/knowledge/preprocess/MineruPreprocessProvider.ts

@@ -21,6 +21,7 @@ type ApiResponse<T> = {
 type BatchUploadResponse = {
   batch_id: string
   file_urls: string[]
+  headers?: Record<string, string>[]
 }
 
 type ExtractProgress = {
@@ -55,7 +56,7 @@ type QuotaResponse = {
 export default class MineruPreprocessProvider extends BasePreprocessProvider {
   constructor(provider: PreprocessProvider, userId?: string) {
     super(provider, userId)
-    // todo：免费期结束后删除
+    // TODO: remove after free period ends
     this.provider.apiKey = this.provider.apiKey || import.meta.env.MAIN_VITE_MINERU_API_KEY
   }
 
@@ -68,21 +69,21 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
       logger.info(`MinerU preprocess processing started: ${filePath}`)
       await this.validateFile(filePath)
 
-      // 1. 获取上传URL并上传文件
+      // 1. Get upload URL and upload file
       const batchId = await this.uploadFile(file)
       logger.info(`MinerU file upload completed: batch_id=${batchId}`)
 
-      // 2. 等待处理完成并获取结果
+      // 2. Wait for completion and fetch results
       const extractResult = await this.waitForCompletion(sourceId, batchId, file.origin_name)
       logger.info(`MinerU processing completed for batch: ${batchId}`)
 
-      // 3. 下载并解压文件
+      // 3. Download and extract output
       const { path: outputPath } = await this.downloadAndExtractFile(extractResult.full_zip_url!, file)
 
       // 4. check quota
       const quota = await this.checkQuota()
 
-      // 5. 创建处理后的文件信息
+      // 5. Create processed file metadata
       return {
         processedFile: this.createProcessedFileInfo(file, outputPath),
         quota
@@ -115,23 +116,48 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
   }
 
   private async validateFile(filePath: string): Promise<void> {
+    // Phase 1: check file size (without loading into memory)
+    logger.info(`Validating PDF file: ${filePath}`)
+    const stats = await fs.promises.stat(filePath)
+    const fileSizeBytes = stats.size
+
+    // Ensure file size is under 200MB
+    if (fileSizeBytes >= 200 * 1024 * 1024) {
+      const fileSizeMB = Math.round(fileSizeBytes / (1024 * 1024))
+      throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
+    }
+
+    // Phase 2: check page count (requires reading file with error handling)
     const pdfBuffer = await fs.promises.readFile(filePath)
 
-    const doc = await this.readPdf(pdfBuffer)
+    try {
+      const doc = await this.readPdf(pdfBuffer)
 
-    // 文件页数小于600页
-    if (doc.numPages >= 600) {
-      throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
-    }
-    // 文件大小小于200MB
-    if (pdfBuffer.length >= 200 * 1024 * 1024) {
-      const fileSizeMB = Math.round(pdfBuffer.length / (1024 * 1024))
-      throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
+      // Ensure page count is under 600 pages
+      if (doc.numPages >= 600) {
+        throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
+      }
+
+      logger.info(`PDF validation passed: ${doc.numPages} pages, ${Math.round(fileSizeBytes / (1024 * 1024))}MB`)
+    } catch (error: any) {
+      // If the page limit is exceeded, rethrow immediately
+      if (error.message.includes('exceeds the limit')) {
+        throw error
+      }
+
+      // If PDF parsing fails, log a detailed warning but continue processing
+      logger.warn(
+        `Failed to parse PDF structure (file may be corrupted or use non-standard format). ` +
+          `Skipping page count validation. Will attempt to process with MinerU API. ` +
+          `Error details: ${error.message}. ` +
+          `Suggestion: If processing fails, try repairing the PDF using tools like Adobe Acrobat or online PDF repair services.`
+      )
+      // Do not throw; continue processing
     }
   }
 
   private createProcessedFileInfo(file: FileMetadata, outputPath: string): FileMetadata {
-    // 查找解压后的主要文件
+    // Locate the main extracted file
     let finalPath = ''
     let finalName = file.origin_name.replace('.pdf', '.md')
 
@@ -143,14 +169,14 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
         const originalMdPath = path.join(outputPath, mdFile)
         const newMdPath = path.join(outputPath, finalName)
 
-        // 重命名文件为原始文件名
+        // Rename the file to match the original name
         try {
           fs.renameSync(originalMdPath, newMdPath)
           finalPath = newMdPath
           logger.info(`Renamed markdown file from ${mdFile} to ${finalName}`)
         } catch (renameError) {
           logger.warn(`Failed to rename file ${mdFile} to ${finalName}: ${renameError}`)
-          // 如果重命名失败，使用原文件
+          // If renaming fails, fall back to the original file
           finalPath = originalMdPath
           finalName = mdFile
         }
@@ -178,7 +204,7 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
     logger.info(`Downloading MinerU result to: ${zipPath}`)
 
     try {
-      // 下载ZIP文件
+      // Download the ZIP file
       const response = await net.fetch(zipUrl, { method: 'GET' })
       if (!response.ok) {
         throw new Error(`HTTP ${response.status}: ${response.statusText}`)
@@ -187,17 +213,17 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
       fs.writeFileSync(zipPath, Buffer.from(arrayBuffer))
       logger.info(`Downloaded ZIP file: ${zipPath}`)
 
-      // 确保提取目录存在
+      // Ensure the extraction directory exists
       if (!fs.existsSync(extractPath)) {
         fs.mkdirSync(extractPath, { recursive: true })
       }
 
-      // 解压文件
+      // Extract the ZIP contents
       const zip = new AdmZip(zipPath)
       zip.extractAllTo(extractPath, true)
       logger.info(`Extracted files to: ${extractPath}`)
 
-      // 删除临时ZIP文件
+      // Remove the temporary ZIP file
       fs.unlinkSync(zipPath)
 
       return { path: extractPath }
@@ -209,11 +235,11 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
 
   private async uploadFile(file: FileMetadata): Promise<string> {
     try {
-      // 步骤1: 获取上传URL
-      const { batchId, fileUrls } = await this.getBatchUploadUrls(file)
-      // 步骤2: 上传文件到获取的URL
+      // Step 1: obtain the upload URL
+      const { batchId, fileUrls, uploadHeaders } = await this.getBatchUploadUrls(file)
+      // Step 2: upload the file to the obtained URL
       const filePath = fileStorage.getFilePathById(file)
-      await this.putFileToUrl(filePath, fileUrls[0])
+      await this.putFileToUrl(filePath, fileUrls[0], file.origin_name, uploadHeaders?.[0])
       logger.info(`File uploaded successfully: ${filePath}`, { batchId, fileUrls })
 
       return batchId
@@ -223,7 +249,9 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
     }
   }
 
-  private async getBatchUploadUrls(file: FileMetadata): Promise<{ batchId: string; fileUrls: string[] }> {
+  private async getBatchUploadUrls(
+    file: FileMetadata
+  ): Promise<{ batchId: string; fileUrls: string[]; uploadHeaders?: Record<string, string>[] }> {
     const endpoint = `${this.provider.apiHost}/api/v4/file-urls/batch`
 
     const payload = {
@@ -254,10 +282,11 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
       if (response.ok) {
         const data: ApiResponse<BatchUploadResponse> = await response.json()
         if (data.code === 0 && data.data) {
-          const { batch_id, file_urls } = data.data
+          const { batch_id, file_urls, headers: uploadHeaders } = data.data
           return {
             batchId: batch_id,
-            fileUrls: file_urls
+            fileUrls: file_urls,
+            uploadHeaders
           }
         } else {
           throw new Error(`API returned error: ${data.msg || JSON.stringify(data)}`)
@@ -271,18 +300,28 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
     }
   }
 
-  private async putFileToUrl(filePath: string, uploadUrl: string): Promise<void> {
+  private async putFileToUrl(
+    filePath: string,
+    uploadUrl: string,
+    fileName?: string,
+    headers?: Record<string, string>
+  ): Promise<void> {
     try {
       const fileBuffer = await fs.promises.readFile(filePath)
+      const fileSize = fileBuffer.byteLength
+      const displayName = fileName ?? path.basename(filePath)
+
+      logger.info(`Uploading file to MinerU OSS: ${displayName} (${fileSize} bytes)`)
 
       // https://mineru.net/apiManage/docs
       const response = await net.fetch(uploadUrl, {
         method: 'PUT',
-        body: fileBuffer
+        headers,
+        body: new Uint8Array(fileBuffer)
       })
 
       if (!response.ok) {
-        // 克隆 response 以避免消费 body stream
+        // Clone the response to avoid consuming the body stream
         const responseClone = response.clone()
 
         try {
@@ -353,20 +392,20 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
       try {
         const result = await this.getExtractResults(batchId)
 
-        // 查找对应文件的处理结果
+        // Find the corresponding file result
         const fileResult = result.extract_result.find((item) => item.file_name === fileName)
         if (!fileResult) {
           throw new Error(`File ${fileName} not found in batch results`)
         }
 
-        // 检查处理状态
+        // Check the processing state
         if (fileResult.state === 'done' && fileResult.full_zip_url) {
           logger.info(`Processing completed for file: ${fileName}`)
           return fileResult
         } else if (fileResult.state === 'failed') {
           throw new Error(`Processing failed for file: ${fileName}, error: ${fileResult.err_msg}`)
         } else if (fileResult.state === 'running') {
-          // 发送进度更新
+          // Send progress updates
           if (fileResult.extract_progress) {
             const progress = Math.round(
               (fileResult.extract_progress.extracted_pages / fileResult.extract_progress.total_pages) * 100
@@ -374,7 +413,7 @@ export default class MineruPreprocessProvider extends BasePreprocessProvider {
             await this.sendPreprocessProgress(sourceId, progress)
             logger.info(`File ${fileName} processing progress: ${progress}%`)
           } else {
-            // 如果没有具体进度信息，发送一个通用进度
+            // If no detailed progress information is available, send a generic update
             await this.sendPreprocessProgress(sourceId, 50)
             logger.info(`File ${fileName} is still processing...`)
           }

src/main/knowledge/preprocess/OpenMineruPreprocessProvider.ts

@@ -53,18 +53,43 @@ export default class OpenMineruPreprocessProvider extends BasePreprocessProvider
   }
 
   private async validateFile(filePath: string): Promise<void> {
+    // 第一阶段:检查文件大小(无需读取文件到内存)
+    logger.info(`Validating PDF file: ${filePath}`)
+    const stats = await fs.promises.stat(filePath)
+    const fileSizeBytes = stats.size
+
+    // File size must be less than 200MB
+    if (fileSizeBytes >= 200 * 1024 * 1024) {
+      const fileSizeMB = Math.round(fileSizeBytes / (1024 * 1024))
+      throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
+    }
+
+    // 第二阶段:检查页数(需要读取文件,带错误处理)
     const pdfBuffer = await fs.promises.readFile(filePath)
 
-    const doc = await this.readPdf(pdfBuffer)
+    try {
+      const doc = await this.readPdf(pdfBuffer)
 
-    // File page count must be less than 600 pages
-    if (doc.numPages >= 600) {
-      throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
-    }
-    // File size must be less than 200MB
-    if (pdfBuffer.length >= 200 * 1024 * 1024) {
-      const fileSizeMB = Math.round(pdfBuffer.length / (1024 * 1024))
-      throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
+      // File page count must be less than 600 pages
+      if (doc.numPages >= 600) {
+        throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
+      }
+
+      logger.info(`PDF validation passed: ${doc.numPages} pages, ${Math.round(fileSizeBytes / (1024 * 1024))}MB`)
+    } catch (error: any) {
+      // 如果是页数超限错误,直接抛出
+      if (error.message.includes('exceeds the limit')) {
+        throw error
+      }
+
+      // PDF 解析失败,记录详细警告但允许继续处理
+      logger.warn(
+        `Failed to parse PDF structure (file may be corrupted or use non-standard format). ` +
+          `Skipping page count validation. Will attempt to process with MinerU API. ` +
+          `Error details: ${error.message}. ` +
+          `Suggestion: If processing fails, try repairing the PDF using tools like Adobe Acrobat or online PDF repair services.`
+      )
+      // 不抛出错误,允许继续处理
     }
   }
 
@@ -72,8 +97,8 @@ export default class OpenMineruPreprocessProvider extends BasePreprocessProvider
     // Find the main file after extraction
     let finalPath = ''
     let finalName = file.origin_name.replace('.pdf', '.md')
-    // Find the corresponding folder by file name
-    outputPath = path.join(outputPath, `${file.origin_name.replace('.pdf', '')}`)
+    // Find the corresponding folder by file id
+    outputPath = path.join(outputPath, file.id)
     try {
       const files = fs.readdirSync(outputPath)
 
@@ -125,7 +150,7 @@ export default class OpenMineruPreprocessProvider extends BasePreprocessProvider
     formData.append('return_md', 'true')
     formData.append('response_format_zip', 'true')
     formData.append('files', fileBuffer, {
-      filename: file.origin_name
+      filename: file.name
     })
 
     while (retries < maxRetries) {
@@ -139,7 +164,7 @@ export default class OpenMineruPreprocessProvider extends BasePreprocessProvider
             ...(this.provider.apiKey ? { Authorization: `Bearer ${this.provider.apiKey}` } : {}),
             ...formData.getHeaders()
           },
-          body: formData.getBuffer()
+          body: new Uint8Array(formData.getBuffer())
         })
 
         if (!response.ok) {

src/renderer/src/aiCore/legacy/clients/BaseApiClient.ts

@@ -1,5 +1,6 @@
 import { loggerService } from '@logger'
 import {
+  getModelSupportedVerbosity,
   isFunctionCallingModel,
   isNotSupportTemperatureAndTopP,
   isOpenAIModel,
@@ -242,12 +243,18 @@ export abstract class BaseApiClient<
     return serviceTierSetting
   }
 
-  protected getVerbosity(): OpenAIVerbosity {
+  protected getVerbosity(model?: Model): OpenAIVerbosity {
     try {
       const state = window.store?.getState()
       const verbosity = state?.settings?.openAI?.verbosity
 
       if (verbosity && ['low', 'medium', 'high'].includes(verbosity)) {
+        // If model is provided, check if the verbosity is supported by the model
+        if (model) {
+          const supportedVerbosity = getModelSupportedVerbosity(model)
+          // Use user's verbosity if supported, otherwise use the first supported option
+          return supportedVerbosity.includes(verbosity) ? verbosity : supportedVerbosity[0]
+        }
         return verbosity
       }
     } catch (error) {

src/renderer/src/aiCore/legacy/clients/openai/OpenAIApiClient.ts

@@ -35,6 +35,7 @@ import {
   isSupportedThinkingTokenModel,
   isSupportedThinkingTokenQwenModel,
   isSupportedThinkingTokenZhipuModel,
+  isSupportVerbosityModel,
   isVisionModel,
   MODEL_SUPPORTED_REASONING_EFFORT,
   ZHIPU_RESULT_TOKENS
@@ -733,6 +734,13 @@ export class OpenAIAPIClient extends OpenAIBaseClient<
           ...modalities,
           // groq 有不同的 service tier 配置，不符合 openai 接口类型
           service_tier: this.getServiceTier(model) as OpenAIServiceTier,
+          ...(isSupportVerbosityModel(model)
+            ? {
+                text: {
+                  verbosity: this.getVerbosity(model)
+                }
+              }
+            : {}),
           ...this.getProviderSpecificParameters(assistant, model),
           ...reasoningEffort,
           ...getOpenAIWebSearchParams(model, enableWebSearch),

src/renderer/src/aiCore/legacy/clients/openai/OpenAIBaseClient.ts

@@ -48,9 +48,8 @@ export abstract class OpenAIBaseClient<
   }
 
   // 仅适用于openai
-  override getBaseURL(): string {
-    const host = this.provider.apiHost
-    return formatApiHost(host)
+  override getBaseURL(isSupportedAPIVerion: boolean = true): string {
+    return formatApiHost(this.provider.apiHost, isSupportedAPIVerion)
   }
 
   override async generateImage({
@@ -144,6 +143,11 @@ export abstract class OpenAIBaseClient<
     }
 
     let apiKeyForSdkInstance = this.apiKey
+    let baseURLForSdkInstance = this.getBaseURL()
+    let headersForSdkInstance = {
+      ...this.defaultHeaders(),
+      ...this.provider.extra_headers
+    }
 
     if (this.provider.id === 'copilot') {
       const defaultHeaders = store.getState().copilot.defaultHeaders
@@ -151,6 +155,11 @@ export abstract class OpenAIBaseClient<
       // this.provider.apiKey不允许修改
       // this.provider.apiKey = token
       apiKeyForSdkInstance = token
+      baseURLForSdkInstance = this.getBaseURL(false)
+      headersForSdkInstance = {
+        ...headersForSdkInstance,
+        ...COPILOT_DEFAULT_HEADERS
+      }
     }
 
     if (this.provider.id === 'azure-openai' || this.provider.type === 'azure-openai') {
@@ -164,12 +173,8 @@ export abstract class OpenAIBaseClient<
       this.sdkInstance = new OpenAI({
         dangerouslyAllowBrowser: true,
         apiKey: apiKeyForSdkInstance,
-        baseURL: this.getBaseURL(),
-        defaultHeaders: {
-          ...this.defaultHeaders(),
-          ...this.provider.extra_headers,
-          ...(this.provider.id === 'copilot' ? COPILOT_DEFAULT_HEADERS : {})
-        }
+        baseURL: baseURLForSdkInstance,
+        defaultHeaders: headersForSdkInstance
       }) as TSdkInstance
     }
     return this.sdkInstance

src/renderer/src/aiCore/legacy/clients/openai/OpenAIResponseAPIClient.ts

@@ -297,7 +297,31 @@ export class OpenAIResponseAPIClient extends OpenAIBaseClient<
 
   private convertResponseToMessageContent(response: OpenAI.Responses.Response): ResponseInput {
     const content: OpenAI.Responses.ResponseInput = []
-    content.push(...response.output)
+    response.output.forEach((item) => {
+      if (item.type !== 'apply_patch_call' && item.type !== 'apply_patch_call_output') {
+        content.push(item)
+      } else if (item.type === 'apply_patch_call') {
+        if (item.operation !== undefined) {
+          const applyPatchToolCall: OpenAI.Responses.ResponseInputItem.ApplyPatchCall = {
+            ...item,
+            operation: item.operation
+          }
+          content.push(applyPatchToolCall)
+        } else {
+          logger.warn('Undefined tool call operation for ApplyPatchToolCall.')
+        }
+      } else if (item.type === 'apply_patch_call_output') {
+        if (item.output !== undefined) {
+          const applyPatchToolCallOutput: OpenAI.Responses.ResponseInputItem.ApplyPatchCallOutput = {
+            ...item,
+            output: item.output === null ? undefined : item.output
+          }
+          content.push(applyPatchToolCallOutput)
+        } else {
+          logger.warn('Undefined tool call operation for ApplyPatchToolCall.')
+        }
+      }
+    })
     return content
   }
 
@@ -496,7 +520,7 @@ export class OpenAIResponseAPIClient extends OpenAIBaseClient<
           ...(isSupportVerbosityModel(model)
             ? {
                 text: {
-                  verbosity: this.getVerbosity()
+                  verbosity: this.getVerbosity(model)
                 }
               }
             : {}),

src/renderer/src/aiCore/prepareParams/header.ts

@@ -0,0 +1,13 @@
+import { isClaude45ReasoningModel } from '@renderer/config/models'
+import type { Assistant, Model } from '@renderer/types'
+import { isToolUseModeFunction } from '@renderer/utils/assistant'
+
+const INTERLEAVED_THINKING_HEADER = 'interleaved-thinking-2025-05-14'
+
+export function addAnthropicHeaders(assistant: Assistant, model: Model): string[] {
+  const anthropicHeaders: string[] = []
+  if (isClaude45ReasoningModel(model) && isToolUseModeFunction(assistant)) {
+    anthropicHeaders.push(INTERLEAVED_THINKING_HEADER)
+  }
+  return anthropicHeaders
+}

src/renderer/src/aiCore/prepareParams/parameterBuilder.ts

@@ -7,10 +7,12 @@ import { anthropic } from '@ai-sdk/anthropic'
 import { google } from '@ai-sdk/google'
 import { vertexAnthropic } from '@ai-sdk/google-vertex/anthropic/edge'
 import { vertex } from '@ai-sdk/google-vertex/edge'
+import { combineHeaders } from '@ai-sdk/provider-utils'
 import type { WebSearchPluginConfig } from '@cherrystudio/ai-core/built-in/plugins'
 import { isBaseProvider } from '@cherrystudio/ai-core/core/providers/schemas'
 import { loggerService } from '@logger'
 import {
+  isAnthropicModel,
   isGenerateImageModel,
   isOpenRouterBuiltInWebSearchModel,
   isReasoningModel,
@@ -19,6 +21,8 @@ import {
   isSupportedThinkingTokenModel,
   isWebSearchModel
 } from '@renderer/config/models'
+import { isAwsBedrockProvider } from '@renderer/config/providers'
+import { isVertexProvider } from '@renderer/hooks/useVertexAI'
 import { getAssistantSettings, getDefaultModel } from '@renderer/services/AssistantService'
 import store from '@renderer/store'
 import type { CherryWebSearchConfig } from '@renderer/store/websearch'
@@ -34,6 +38,7 @@ import { setupToolsConfig } from '../utils/mcp'
 import { buildProviderOptions } from '../utils/options'
 import { getAnthropicThinkingBudget } from '../utils/reasoning'
 import { buildProviderBuiltinWebSearchConfig } from '../utils/websearch'
+import { addAnthropicHeaders } from './header'
 import { supportsTopP } from './modelCapabilities'
 import { getTemperature, getTopP } from './modelParameters'
 
@@ -172,13 +177,21 @@ export async function buildStreamTextParams(
     }
   }
 
+  let headers: Record<string, string | undefined> = options.requestOptions?.headers ?? {}
+
+  // https://docs.claude.com/en/docs/build-with-claude/extended-thinking#interleaved-thinking
+  if (!isVertexProvider(provider) && !isAwsBedrockProvider(provider) && isAnthropicModel(model)) {
+    const newBetaHeaders = { 'anthropic-beta': addAnthropicHeaders(assistant, model).join(',') }
+    headers = combineHeaders(headers, newBetaHeaders)
+  }
+
   // 构建基础参数
   const params: StreamTextParams = {
     messages: sdkMessages,
     maxOutputTokens: maxTokens,
     temperature: getTemperature(assistant, model),
     abortSignal: options.requestOptions?.signal,
-    headers: options.requestOptions?.headers,
+    headers,
     providerOptions,
     stopWhen: stepCountIs(20),
     maxRetries: 0

src/renderer/src/aiCore/utils/image.ts

@@ -14,3 +14,7 @@ export function isOpenRouterGeminiGenerateImageModel(model: Model, provider: Pro
     provider.id === SystemProviderIds.openrouter
   )
 }
+
+export function isGeminiGenerateImageModel(model: Model): boolean {
+  return model.id.includes('gemini-2.5-flash-image')
+}

src/renderer/src/aiCore/utils/options.ts

@@ -1,5 +1,12 @@
 import { baseProviderIdSchema, customProviderIdSchema } from '@cherrystudio/ai-core/provider'
-import { isOpenAIModel, isQwenMTModel, isSupportFlexServiceTierModel } from '@renderer/config/models'
+import { loggerService } from '@logger'
+import {
+  getModelSupportedVerbosity,
+  isOpenAIModel,
+  isQwenMTModel,
+  isSupportFlexServiceTierModel,
+  isSupportVerbosityModel
+} from '@renderer/config/models'
 import { isSupportServiceTierProvider } from '@renderer/config/providers'
 import { mapLanguageToQwenMTModel } from '@renderer/config/translate'
 import type { Assistant, Model, Provider } from '@renderer/types'
@@ -26,6 +33,8 @@ import {
 } from './reasoning'
 import { getWebSearchParams } from './websearch'
 
+const logger = loggerService.withContext('aiCore.utils.options')
+
 // copy from BaseApiClient.ts
 const getServiceTier = (model: Model, provider: Provider) => {
   const serviceTierSetting = provider.serviceTier
@@ -70,6 +79,7 @@ export function buildProviderOptions(
     enableGenerateImage: boolean
   }
 ): Record<string, any> {
+  logger.debug('buildProviderOptions', { assistant, model, actualProvider, capabilities })
   const rawProviderId = getAiSdkProviderId(actualProvider)
   // 构建 provider 特定的选项
   let providerSpecificOptions: Record<string, any> = {}
@@ -187,6 +197,23 @@ function buildOpenAIProviderOptions(
       ...reasoningParams
     }
   }
+
+  if (isSupportVerbosityModel(model)) {
+    const state = window.store?.getState()
+    const userVerbosity = state?.settings?.openAI?.verbosity
+
+    if (userVerbosity && ['low', 'medium', 'high'].includes(userVerbosity)) {
+      const supportedVerbosity = getModelSupportedVerbosity(model)
+      // Use user's verbosity if supported, otherwise use the first supported option
+      const verbosity = supportedVerbosity.includes(userVerbosity) ? userVerbosity : supportedVerbosity[0]
+
+      providerOptions = {
+        ...providerOptions,
+        textVerbosity: verbosity
+      }
+    }
+  }
+
   return providerOptions
 }
 

src/renderer/src/aiCore/utils/reasoning.ts

@@ -1,3 +1,7 @@
+import type { BedrockProviderOptions } from '@ai-sdk/amazon-bedrock'
+import type { AnthropicProviderOptions } from '@ai-sdk/anthropic'
+import type { GoogleGenerativeAIProviderOptions } from '@ai-sdk/google'
+import type { XaiProviderOptions } from '@ai-sdk/xai'
 import { loggerService } from '@logger'
 import { DEFAULT_MAX_TOKENS } from '@renderer/config/constant'
 import {
@@ -7,6 +11,7 @@ import {
   isDeepSeekHybridInferenceModel,
   isDoubaoSeedAfter251015,
   isDoubaoThinkingAutoModel,
+  isGPT51SeriesModel,
   isGrok4FastReasoningModel,
   isGrokReasoningModel,
   isOpenAIDeepResearchModel,
@@ -56,13 +61,20 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
   }
   const reasoningEffort = assistant?.settings?.reasoning_effort
 
-  if (!reasoningEffort) {
+  // Handle undefined and 'none' reasoningEffort.
+  // TODO: They should be separated.
+  if (!reasoningEffort || reasoningEffort === 'none') {
     // openrouter: use reasoning
     if (model.provider === SystemProviderIds.openrouter) {
       // Don't disable reasoning for Gemini models that support thinking tokens
       if (isSupportedThinkingTokenGeminiModel(model) && !GEMINI_FLASH_MODEL_REGEX.test(model.id)) {
         return {}
       }
+      // 'none' is not an available value for effort for now.
+      // I think they should resolve this issue soon, so I'll just go ahead and use this value.
+      if (isGPT51SeriesModel(model) && reasoningEffort === 'none') {
+        return { reasoning: { effort: 'none' } }
+      }
       // Don't disable reasoning for models that require it
       if (
         isGrokReasoningModel(model) ||
@@ -117,6 +129,13 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
       return { thinking: { type: 'disabled' } }
     }
 
+    // Specially for GPT-5.1. Suppose this is a OpenAI Compatible provider
+    if (isGPT51SeriesModel(model) && reasoningEffort === 'none') {
+      return {
+        reasoningEffort: 'none'
+      }
+    }
+
     return {}
   }
 
@@ -371,7 +390,7 @@ export function getOpenAIReasoningParams(assistant: Assistant, model: Model): Re
 
 export function getAnthropicThinkingBudget(assistant: Assistant, model: Model): number {
   const { maxTokens, reasoning_effort: reasoningEffort } = getAssistantSettings(assistant)
-  if (reasoningEffort === undefined) {
+  if (reasoningEffort === undefined || reasoningEffort === 'none') {
     return 0
   }
   const effortRatio = EFFORT_RATIO[reasoningEffort]
@@ -393,14 +412,17 @@ export function getAnthropicThinkingBudget(assistant: Assistant, model: Model):
  * 获取 Anthropic 推理参数
  * 从 AnthropicAPIClient 中提取的逻辑
  */
-export function getAnthropicReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
+export function getAnthropicReasoningParams(
+  assistant: Assistant,
+  model: Model
+): Pick<AnthropicProviderOptions, 'thinking'> {
   if (!isReasoningModel(model)) {
     return {}
   }
 
   const reasoningEffort = assistant?.settings?.reasoning_effort
 
-  if (reasoningEffort === undefined) {
+  if (reasoningEffort === undefined || reasoningEffort === 'none') {
     return {
       thinking: {
         type: 'disabled'
@@ -429,7 +451,10 @@ export function getAnthropicReasoningParams(assistant: Assistant, model: Model):
  * 注意：Gemini/GCP 端点所使用的 thinkingBudget 等参数应该按照驼峰命名法传递
  * 而在 Google 官方提供的 OpenAI 兼容端点中则使用蛇形命名法 thinking_budget
  */
-export function getGeminiReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
+export function getGeminiReasoningParams(
+  assistant: Assistant,
+  model: Model
+): Pick<GoogleGenerativeAIProviderOptions, 'thinkingConfig'> {
   if (!isReasoningModel(model)) {
     return {}
   }
@@ -438,7 +463,7 @@ export function getGeminiReasoningParams(assistant: Assistant, model: Model): Re
 
   // Gemini 推理参数
   if (isSupportedThinkingTokenGeminiModel(model)) {
-    if (reasoningEffort === undefined) {
+    if (reasoningEffort === undefined || reasoningEffort === 'none') {
       return {
         thinkingConfig: {
           includeThoughts: false,
@@ -478,27 +503,35 @@ export function getGeminiReasoningParams(assistant: Assistant, model: Model): Re
  * @param model - The model being used
  * @returns XAI-specific reasoning parameters
  */
-export function getXAIReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
+export function getXAIReasoningParams(assistant: Assistant, model: Model): Pick<XaiProviderOptions, 'reasoningEffort'> {
   if (!isSupportedReasoningEffortGrokModel(model)) {
     return {}
   }
 
   const { reasoning_effort: reasoningEffort } = getAssistantSettings(assistant)
 
-  if (!reasoningEffort) {
+  if (!reasoningEffort || reasoningEffort === 'none') {
     return {}
   }
 
-  // For XAI provider Grok models, use reasoningEffort parameter directly
-  return {
-    reasoningEffort
+  switch (reasoningEffort) {
+    case 'auto':
+    case 'minimal':
+    case 'medium':
+      return { reasoningEffort: 'low' }
+    case 'low':
+    case 'high':
+      return { reasoningEffort }
   }
 }
 
 /**
  * Get Bedrock reasoning parameters
  */
-export function getBedrockReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
+export function getBedrockReasoningParams(
+  assistant: Assistant,
+  model: Model
+): Pick<BedrockProviderOptions, 'reasoningConfig'> {
   if (!isReasoningModel(model)) {
     return {}
   }
@@ -509,6 +542,14 @@ export function getBedrockReasoningParams(assistant: Assistant, model: Model): R
     return {}
   }
 
+  if (reasoningEffort === 'none') {
+    return {
+      reasoningConfig: {
+        type: 'disabled'
+      }
+    }
+  }
+
   // Only apply thinking budget for Claude reasoning models
   if (!isSupportedThinkingTokenClaudeModel(model)) {
     return {}

src/renderer/src/config/models/logo.ts

@@ -59,6 +59,10 @@ import {
 } from '@renderer/assets/images/models/gpt_dark.png'
 import ChatGPTImageModelLogo from '@renderer/assets/images/models/gpt_image_1.png'
 import ChatGPTo1ModelLogo from '@renderer/assets/images/models/gpt_o1.png'
+import GPT51ModelLogo from '@renderer/assets/images/models/gpt-5.1.png'
+import GPT51ChatModelLogo from '@renderer/assets/images/models/gpt-5.1-chat.png'
+import GPT51CodexModelLogo from '@renderer/assets/images/models/gpt-5.1-codex.png'
+import GPT51CodexMiniModelLogo from '@renderer/assets/images/models/gpt-5.1-codex-mini.png'
 import GPT5ModelLogo from '@renderer/assets/images/models/gpt-5.png'
 import GPT5ChatModelLogo from '@renderer/assets/images/models/gpt-5-chat.png'
 import GPT5CodexModelLogo from '@renderer/assets/images/models/gpt-5-codex.png'
@@ -182,6 +186,10 @@ export function getModelLogoById(modelId: string): string | undefined {
     'gpt-5-nano': GPT5NanoModelLogo,
     'gpt-5-chat': GPT5ChatModelLogo,
     'gpt-5-codex': GPT5CodexModelLogo,
+    'gpt-5.1-codex-mini': GPT51CodexMiniModelLogo,
+    'gpt-5.1-codex': GPT51CodexModelLogo,
+    'gpt-5.1-chat': GPT51ChatModelLogo,
+    'gpt-5.1': GPT51ModelLogo,
     'gpt-5': GPT5ModelLogo,
     gpts: isLight ? ChatGPT4ModelLogo : ChatGPT4ModelLogoDark,
     'gpt-oss(?:-[\\w-]+)': isLight ? ChatGptModelLogo : ChatGptModelLogoDark,

src/renderer/src/config/models/reasoning.ts

@@ -8,7 +8,7 @@ import type {
 import { getLowerBaseModelName, isUserSelectedModelType } from '@renderer/utils'
 
 import { isEmbeddingModel, isRerankModel } from './embedding'
-import { isGPT5SeriesModel } from './utils'
+import { isGPT5ProModel, isGPT5SeriesModel, isGPT51SeriesModel } from './utils'
 import { isTextToImageModel } from './vision'
 import { GEMINI_FLASH_MODEL_REGEX, isOpenAIDeepResearchModel } from './websearch'
 
@@ -24,6 +24,9 @@ export const MODEL_SUPPORTED_REASONING_EFFORT: ReasoningEffortConfig = {
   openai_deep_research: ['medium'] as const,
   gpt5: ['minimal', 'low', 'medium', 'high'] as const,
   gpt5_codex: ['low', 'medium', 'high'] as const,
+  gpt5_1: ['none', 'low', 'medium', 'high'] as const,
+  gpt5_1_codex: ['none', 'medium', 'high'] as const,
+  gpt5pro: ['high'] as const,
   grok: ['low', 'high'] as const,
   grok4_fast: ['auto'] as const,
   gemini: ['low', 'medium', 'high', 'auto'] as const,
@@ -41,24 +44,27 @@ export const MODEL_SUPPORTED_REASONING_EFFORT: ReasoningEffortConfig = {
 
 // 模型类型到支持选项的映射表
 export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
-  default: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.default] as const,
+  default: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.default] as const,
   o: MODEL_SUPPORTED_REASONING_EFFORT.o,
   openai_deep_research: MODEL_SUPPORTED_REASONING_EFFORT.openai_deep_research,
   gpt5: [...MODEL_SUPPORTED_REASONING_EFFORT.gpt5] as const,
+  gpt5pro: MODEL_SUPPORTED_REASONING_EFFORT.gpt5pro,
   gpt5_codex: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_codex,
+  gpt5_1: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1,
+  gpt5_1_codex: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1_codex,
   grok: MODEL_SUPPORTED_REASONING_EFFORT.grok,
-  grok4_fast: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.grok4_fast] as const,
-  gemini: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini] as const,
+  grok4_fast: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.grok4_fast] as const,
+  gemini: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini] as const,
   gemini_pro: MODEL_SUPPORTED_REASONING_EFFORT.gemini_pro,
-  qwen: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen] as const,
+  qwen: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen] as const,
   qwen_thinking: MODEL_SUPPORTED_REASONING_EFFORT.qwen_thinking,
-  doubao: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao] as const,
-  doubao_no_auto: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao_no_auto] as const,
+  doubao: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao] as const,
+  doubao_no_auto: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao_no_auto] as const,
   doubao_after_251015: MODEL_SUPPORTED_REASONING_EFFORT.doubao_after_251015,
-  hunyuan: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.hunyuan] as const,
-  zhipu: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.zhipu] as const,
+  hunyuan: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.hunyuan] as const,
+  zhipu: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.zhipu] as const,
   perplexity: MODEL_SUPPORTED_REASONING_EFFORT.perplexity,
-  deepseek_hybrid: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.deepseek_hybrid] as const
+  deepseek_hybrid: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.deepseek_hybrid] as const
 } as const
 
 const withModelIdAndNameAsId = <T>(model: Model, fn: (model: Model) => T): { idResult: T; nameResult: T } => {
@@ -75,11 +81,20 @@ const _getThinkModelType = (model: Model): ThinkingModelType => {
   if (isOpenAIDeepResearchModel(model)) {
     return 'openai_deep_research'
   }
-  if (isGPT5SeriesModel(model)) {
+  if (isGPT51SeriesModel(model)) {
+    if (modelId.includes('codex')) {
+      thinkingModelType = 'gpt5_1_codex'
+    } else {
+      thinkingModelType = 'gpt5_1'
+    }
+  } else if (isGPT5SeriesModel(model)) {
     if (modelId.includes('codex')) {
       thinkingModelType = 'gpt5_codex'
     } else {
       thinkingModelType = 'gpt5'
+      if (isGPT5ProModel(model)) {
+        thinkingModelType = 'gpt5pro'
+      }
     }
   } else if (isSupportedReasoningEffortOpenAIModel(model)) {
     thinkingModelType = 'o'
@@ -526,7 +541,7 @@ export function isSupportedReasoningEffortOpenAIModel(model: Model): boolean {
     modelId.includes('o3') ||
     modelId.includes('o4') ||
     modelId.includes('gpt-oss') ||
-    (isGPT5SeriesModel(model) && !modelId.includes('chat'))
+    ((isGPT5SeriesModel(model) || isGPT51SeriesModel(model)) && !modelId.includes('chat'))
   )
 }
 

src/renderer/src/config/models/utils.ts

@@ -54,7 +54,7 @@ export function isSupportedFlexServiceTier(model: Model): boolean {
 
 export function isSupportVerbosityModel(model: Model): boolean {
   const modelId = getLowerBaseModelName(model.id)
-  return isGPT5SeriesModel(model) && !modelId.includes('chat')
+  return (isGPT5SeriesModel(model) || isGPT51SeriesModel(model)) && !modelId.includes('chat')
 }
 
 export function isOpenAIChatCompletionOnlyModel(model: Model): boolean {
@@ -227,12 +227,32 @@ export const isNotSupportSystemMessageModel = (model: Model): boolean => {
 
 export const isGPT5SeriesModel = (model: Model) => {
   const modelId = getLowerBaseModelName(model.id)
-  return modelId.includes('gpt-5')
+  return modelId.includes('gpt-5') && !modelId.includes('gpt-5.1')
 }
 
 export const isGPT5SeriesReasoningModel = (model: Model) => {
   const modelId = getLowerBaseModelName(model.id)
-  return modelId.includes('gpt-5') && !modelId.includes('chat')
+  return isGPT5SeriesModel(model) && !modelId.includes('chat')
+}
+
+export const isGPT51SeriesModel = (model: Model) => {
+  const modelId = getLowerBaseModelName(model.id)
+  return modelId.includes('gpt-5.1')
+}
+
+// GPT-5 verbosity configuration
+// gpt-5-pro only supports 'high', other GPT-5 models support all levels
+export const MODEL_SUPPORTED_VERBOSITY: Record<string, ('low' | 'medium' | 'high')[]> = {
+  'gpt-5-pro': ['high'],
+  default: ['low', 'medium', 'high']
+}
+
+export const getModelSupportedVerbosity = (model: Model): ('low' | 'medium' | 'high')[] => {
+  const modelId = getLowerBaseModelName(model.id)
+  if (modelId.includes('gpt-5-pro')) {
+    return MODEL_SUPPORTED_VERBOSITY['gpt-5-pro']
+  }
+  return MODEL_SUPPORTED_VERBOSITY.default
 }
 
 export const isGeminiModel = (model: Model) => {
@@ -251,3 +271,8 @@ export const ZHIPU_RESULT_TOKENS = ['<|begin_of_box|>', '<|end_of_box|>'] as con
 export const agentModelFilter = (model: Model): boolean => {
   return !isEmbeddingModel(model) && !isRerankModel(model) && !isTextToImageModel(model)
 }
+
+export const isGPT5ProModel = (model: Model) => {
+  const modelId = getLowerBaseModelName(model.id)
+  return modelId.includes('gpt-5-pro')
+}

src/renderer/src/config/models/websearch.ts

@@ -70,7 +70,7 @@ export function isWebSearchModel(model: Model): boolean {
   // bedrock和vertex不支持
   if (
     isAnthropicModel(model) &&
-    (provider.id === SystemProviderIds['aws-bedrock'] || provider.id === SystemProviderIds.vertexai)
+    !(provider.id === SystemProviderIds['aws-bedrock'] || provider.id === SystemProviderIds.vertexai)
   ) {
     return CLAUDE_SUPPORTED_WEBSEARCH_REGEX.test(modelId)
   }

src/renderer/src/config/providers.ts

@@ -67,7 +67,7 @@ import type {
   SystemProvider,
   SystemProviderId
 } from '@renderer/types'
-import { isSystemProvider, OpenAIServiceTiers } from '@renderer/types'
+import { isSystemProvider, OpenAIServiceTiers, SystemProviderIds } from '@renderer/types'
 
 import { TOKENFLUX_HOST } from './constant'
 import { glm45FlashModel, qwen38bModel, SYSTEM_MODELS } from './models'
@@ -275,6 +275,7 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     type: 'openai',
     apiKey: '',
     apiHost: 'https://api.qnaigc.com',
+    anthropicApiHost: 'https://api.qnaigc.com',
     models: SYSTEM_MODELS.qiniu,
     isSystem: true,
     enabled: false
@@ -665,6 +666,7 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     type: 'openai',
     apiKey: '',
     apiHost: 'https://api.longcat.chat/openai',
+    anthropicApiHost: 'https://api.longcat.chat/anthropic',
     models: SYSTEM_MODELS.longcat,
     isSystem: true,
     enabled: false
@@ -1519,7 +1521,10 @@ const SUPPORT_URL_CONTEXT_PROVIDER_TYPES = [
 ] as const satisfies ProviderType[]
 
 export const isSupportUrlContextProvider = (provider: Provider) => {
-  return SUPPORT_URL_CONTEXT_PROVIDER_TYPES.some((type) => type === provider.type)
+  return (
+    SUPPORT_URL_CONTEXT_PROVIDER_TYPES.some((type) => type === provider.type) ||
+    provider.id === SystemProviderIds.cherryin
+  )
 }
 
 const SUPPORT_GEMINI_NATIVE_WEB_SEARCH_PROVIDERS = ['gemini', 'vertexai'] as const satisfies SystemProviderId[]
@@ -1570,6 +1575,10 @@ export function isAIGatewayProvider(provider: Provider): boolean {
   return provider.type === 'ai-gateway'
 }
 
+export function isAwsBedrockProvider(provider: Provider): boolean {
+  return provider.type === 'aws-bedrock'
+}
+
 const NOT_SUPPORT_API_VERSION_PROVIDERS = ['github', 'copilot', 'perplexity'] as const satisfies SystemProviderId[]
 
 export const isSupportAPIVersionProvider = (provider: Provider) => {

src/renderer/src/hooks/useAssistant.ts

@@ -123,9 +123,9 @@ export function useAssistant(id: string) {
           }
 
           updateAssistantSettings({
-            reasoning_effort: fallbackOption === 'off' ? undefined : fallbackOption,
-            reasoning_effort_cache: fallbackOption === 'off' ? undefined : fallbackOption,
-            qwenThinkMode: fallbackOption === 'off' ? undefined : true
+            reasoning_effort: fallbackOption === 'none' ? undefined : fallbackOption,
+            reasoning_effort_cache: fallbackOption === 'none' ? undefined : fallbackOption,
+            qwenThinkMode: fallbackOption === 'none' ? undefined : true
           })
         } else {
           // 对于支持的选项, 不再更新 cache.

src/renderer/src/i18n/label.ts

@@ -311,7 +311,7 @@ export const getHttpMessageLabel = (key: string): string => {
 }
 
 const reasoningEffortOptionsKeyMap: Record<ThinkingOption, string> = {
-  off: 'assistants.settings.reasoning_effort.off',
+  none: 'assistants.settings.reasoning_effort.off',
   minimal: 'assistants.settings.reasoning_effort.minimal',
   high: 'assistants.settings.reasoning_effort.high',
   low: 'assistants.settings.reasoning_effort.low',

src/renderer/src/i18n/locales/en-us.json

@@ -27,6 +27,9 @@
         "null_id": "Agent ID is null."
       }
     },
+    "input": {
+      "placeholder": "Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Failed to list agents."

src/renderer/src/i18n/locales/zh-cn.json

@@ -27,6 +27,9 @@
         "null_id": "智能体 ID 为空。"
       }
     },
+    "input": {
+      "placeholder": "在这里输入消息，按 {{key}} 发送 - @ 选择路径， / 选择命令"
+    },
     "list": {
       "error": {
         "failed": "获取智能体列表失败"
@@ -4478,7 +4481,7 @@
       "confirm": "确认",
       "forward": "前进",
       "multiple": "多选",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "未找到结果",
       "page": "翻页",
       "select": "选择",
       "title": "快捷菜单"

src/renderer/src/i18n/locales/zh-tw.json

@@ -27,6 +27,9 @@
         "null_id": "代理程式 ID 為空。"
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "無法列出代理程式。"
@@ -4478,7 +4481,7 @@
       "confirm": "確認",
       "forward": "前進",
       "multiple": "多選",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "未找到結果",
       "page": "翻頁",
       "select": "選擇",
       "title": "快捷選單"

src/renderer/src/i18n/translate/de-de.json

@@ -27,6 +27,9 @@
         "null_id": "Agent ID ist leer."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Agent-Liste abrufen fehlgeschlagen"
@@ -4478,7 +4481,7 @@
       "confirm": "Bestätigen",
       "forward": "Vorwärts",
       "multiple": "Mehrfachauswahl",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "Keine Ergebnisse gefunden",
       "page": "Seite umblättern",
       "select": "Auswählen",
       "title": "Schnellmenü"

src/renderer/src/i18n/translate/el-gr.json

@@ -27,6 +27,9 @@
         "null_id": "Το ID του πράκτορα είναι null."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Αποτυχία καταχώρησης πρακτόρων."
@@ -4478,7 +4481,7 @@
       "confirm": "Επιβεβαίωση",
       "forward": "Μπρος",
       "multiple": "Πολλαπλή επιλογή",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "Δεν βρέθηκαν αποτελέσματα",
       "page": "Σελίδα",
       "select": "Επιλογή",
       "title": "Γρήγορη Πρόσβαση"

src/renderer/src/i18n/translate/es-es.json

@@ -27,6 +27,9 @@
         "null_id": "El ID del agente es nulo."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Error al listar agentes."
@@ -4478,7 +4481,7 @@
       "confirm": "Confirmar",
       "forward": "Adelante",
       "multiple": "Selección múltiple",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "No se encontraron resultados",
       "page": "Página",
       "select": "Seleccionar",
       "title": "Menú de acceso rápido"

src/renderer/src/i18n/translate/fr-fr.json

@@ -27,6 +27,9 @@
         "null_id": "L'ID de l'agent est nul."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Échec de la liste des agents."
@@ -4478,7 +4481,7 @@
       "confirm": "Подтвердить",
       "forward": "Вперед",
       "multiple": "Множественный выбор",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "Aucun résultat trouvé",
       "page": "Перелистнуть страницу",
       "select": "Выбрать",
       "title": "Быстрое меню"

src/renderer/src/i18n/translate/ja-jp.json

@@ -27,6 +27,9 @@
         "null_id": "エージェント ID が null です。"
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "エージェントの一覧取得に失敗しました。"
@@ -4478,7 +4481,7 @@
       "confirm": "確認",
       "forward": "進む",
       "multiple": "複数選択",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "結果が見つかりません",
       "page": "ページ",
       "select": "選択",
       "title": "クイックメニュー"

src/renderer/src/i18n/translate/pt-pt.json

@@ -27,6 +27,9 @@
         "null_id": "O ID do agente é nulo."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Falha ao listar agentes."
@@ -4478,7 +4481,7 @@
       "confirm": "Confirmar",
       "forward": "Avançar",
       "multiple": "Múltipla Seleção",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "Nenhum resultado encontrado",
       "page": "Página",
       "select": "Selecionar",
       "title": "Menu de Atalho"

src/renderer/src/i18n/translate/ru-ru.json

@@ -27,6 +27,9 @@
         "null_id": "ID агента равен null."
       }
     },
+    "input": {
+      "placeholder": "[to be translated]:Enter your message here, send with {{key}} - @ select path, / select command"
+    },
     "list": {
       "error": {
         "failed": "Не удалось получить список агентов."
@@ -4478,7 +4481,7 @@
       "confirm": "Подтвердить",
       "forward": "Вперед",
       "multiple": "Множественный выбор",
-      "noResult": "[to be translated]:No results found",
+      "noResult": "Результаты не найдены",
       "page": "Страница",
       "select": "Выбрать",
       "title": "Быстрое меню"

src/renderer/src/pages/home/Inputbar/AgentSessionInputbar.tsx

@@ -470,7 +470,7 @@ const AgentSessionInputbarInner: FC<InnerProps> = ({ assistant, agentId, session
   )
   const placeholderText = useMemo(
     () =>
-      t('chat.input.placeholder', {
+      t('agent.input.placeholder', {
         key: getSendMessageShortcutLabel(sendMessageShortcut)
       }),
     [sendMessageShortcut, t]

src/renderer/src/pages/home/Inputbar/components/InputbarCore.tsx

@@ -313,7 +313,7 @@ export const InputbarCore: FC<InputbarCoreProps> = ({
 
       const isEnterPressed = event.key === 'Enter' && !event.nativeEvent.isComposing
       if (isEnterPressed) {
-        if (isSendMessageKeyPressed(event, sendMessageShortcut)) {
+        if (isSendMessageKeyPressed(event, sendMessageShortcut) && !cannotSend) {
           handleSendMessage()
           event.preventDefault()
           return
@@ -359,6 +359,7 @@ export const InputbarCore: FC<InputbarCoreProps> = ({
       translate,
       handleToggleExpanded,
       sendMessageShortcut,
+      cannotSend,
       handleSendMessage,
       setText,
       setTimeoutTimer,

src/renderer/src/pages/home/Inputbar/tools/components/ThinkingButton.tsx

@@ -36,7 +36,7 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
   const { assistant, updateAssistantSettings } = useAssistant(assistantId)
 
   const currentReasoningEffort = useMemo(() => {
-    return assistant.settings?.reasoning_effort || 'off'
+    return assistant.settings?.reasoning_effort || 'none'
   }, [assistant.settings?.reasoning_effort])
 
   // 确定当前模型支持的选项类型
@@ -46,21 +46,21 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
   const supportedOptions: ThinkingOption[] = useMemo(() => {
     if (modelType === 'doubao') {
       if (isDoubaoThinkingAutoModel(model)) {
-        return ['off', 'auto', 'high']
+        return ['none', 'auto', 'high']
       }
-      return ['off', 'high']
+      return ['none', 'high']
     }
     return MODEL_SUPPORTED_OPTIONS[modelType]
   }, [model, modelType])
 
   const onThinkingChange = useCallback(
     (option?: ThinkingOption) => {
-      const isEnabled = option !== undefined && option !== 'off'
+      const isEnabled = option !== undefined && option !== 'none'
       // 然后更新设置
       if (!isEnabled) {
         updateAssistantSettings({
-          reasoning_effort: undefined,
-          reasoning_effort_cache: undefined,
+          reasoning_effort: option,
+          reasoning_effort_cache: option,
           qwenThinkMode: false
         })
         return
@@ -96,10 +96,10 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
     }))
   }, [currentReasoningEffort, supportedOptions, onThinkingChange])
 
-  const isThinkingEnabled = currentReasoningEffort !== undefined && currentReasoningEffort !== 'off'
+  const isThinkingEnabled = currentReasoningEffort !== undefined && currentReasoningEffort !== 'none'
 
   const disableThinking = useCallback(() => {
-    onThinkingChange('off')
+    onThinkingChange('none')
   }, [onThinkingChange])
 
   const openQuickPanel = useCallback(() => {
@@ -116,7 +116,7 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
       return
     }
 
-    if (isThinkingEnabled && supportedOptions.includes('off')) {
+    if (isThinkingEnabled && supportedOptions.includes('none')) {
       disableThinking()
       return
     }
@@ -146,13 +146,13 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
     <Tooltip
       placement="top"
       title={
-        isThinkingEnabled && supportedOptions.includes('off')
+        isThinkingEnabled && supportedOptions.includes('none')
           ? t('common.close')
           : t('assistants.settings.reasoning_effort.label')
       }
       mouseLeaveDelay={0}
       arrow>
-      <ActionIconButton onClick={handleOpenQuickPanel} active={currentReasoningEffort !== 'off'}>
+      <ActionIconButton onClick={handleOpenQuickPanel} active={currentReasoningEffort !== 'none'}>
         {ThinkingIcon(currentReasoningEffort)}
       </ActionIconButton>
     </Tooltip>
@@ -178,7 +178,7 @@ const ThinkingIcon = (option?: ThinkingOption) => {
     case 'auto':
       IconComponent = MdiLightbulbAutoOutline
       break
-    case 'off':
+    case 'none':
       IconComponent = MdiLightbulbOffOutline
       break
     default:

src/renderer/src/pages/home/Inputbar/tools/urlContextTool.tsx

@@ -1,4 +1,4 @@
-import { isGeminiModel } from '@renderer/config/models'
+import { isAnthropicModel, isGeminiModel } from '@renderer/config/models'
 import { isSupportUrlContextProvider } from '@renderer/config/providers'
 import { defineTool, registerTool, TopicType } from '@renderer/pages/home/Inputbar/types'
 import { getProviderByModel } from '@renderer/services/AssistantService'
@@ -10,9 +10,8 @@ const urlContextTool = defineTool({
   label: (t) => t('chat.input.url_context'),
   visibleInScopes: [TopicType.Chat],
   condition: ({ model }) => {
-    if (!isGeminiModel(model)) return false
     const provider = getProviderByModel(model)
-    return !!provider && isSupportUrlContextProvider(provider)
+    return !!provider && isSupportUrlContextProvider(provider) && (isGeminiModel(model) || isAnthropicModel(model))
   },
   render: ({ assistant }) => <UrlContextButton assistantId={assistant.id} />
 })

src/renderer/src/pages/home/Messages/Tools/MessageAgentTools/TodoWriteTool.tsx

@@ -1,4 +1,3 @@
-import { cn } from '@renderer/utils'
 import type { CollapseProps } from 'antd'
 import { Card } from 'antd'
 import { CheckCircle, Circle, Clock, ListTodo } from 'lucide-react'
@@ -11,23 +10,27 @@ const getStatusConfig = (status: TodoItem['status']) => {
   switch (status) {
     case 'completed':
       return {
-        color: 'success' as const,
-        icon: <CheckCircle className="h-3 w-3" />
+        color: 'var(--color-status-success)',
+        opacity: 0.6,
+        icon: <CheckCircle className="h-4 w-4" strokeWidth={2.5} />
       }
     case 'in_progress':
       return {
-        color: 'primary' as const,
-        icon: <Clock className="h-3 w-3" />
+        color: 'var(--color-primary)',
+        opacity: 0.9,
+        icon: <Clock className="h-4 w-4" strokeWidth={2.5} />
       }
     case 'pending':
       return {
-        color: 'default' as const,
-        icon: <Circle className="h-3 w-3" />
+        color: 'var(--color-border)',
+        opacity: 0.4,
+        icon: <Circle className="h-4 w-4" strokeWidth={2.5} />
       }
     default:
       return {
-        color: 'default' as const,
-        icon: <Circle className="h-3 w-3" />
+        color: 'var(--color-border)',
+        opacity: 0.4,
+        icon: <Circle className="h-4 w-4" strokeWidth={2.5} />
       }
   }
 }
@@ -64,10 +67,8 @@ export function TodoWriteTool({
                 <div className="p-2">
                   <div className="flex items-center justify-center gap-3">
                     <div
-                      className={cn(
-                        'flex items-center justify-center rounded-full border bg-opacity-50 p-2',
-                        `bg-${statusConfig.color}`
-                      )}>
+                      className="flex items-center justify-center rounded-full border p-1"
+                      style={{ backgroundColor: statusConfig.color, opacity: statusConfig.opacity }}>
                       {statusConfig.icon}
                     </div>
                     <div className="min-w-0 flex-1">

src/renderer/src/pages/home/Tabs/components/OpenAISettingsGroup.tsx

@@ -1,5 +1,6 @@
 import Selector from '@renderer/components/Selector'
 import {
+  getModelSupportedVerbosity,
   isSupportedReasoningEffortOpenAIModel,
   isSupportFlexServiceTierModel,
   isSupportVerbosityModel
@@ -80,20 +81,24 @@ const OpenAISettingsGroup: FC<Props> = ({ model, providerId, SettingGroup, Setti
     }
   ]
 
-  const verbosityOptions = [
-    {
-      value: 'low',
-      label: t('settings.openai.verbosity.low')
-    },
-    {
-      value: 'medium',
-      label: t('settings.openai.verbosity.medium')
-    },
-    {
-      value: 'high',
-      label: t('settings.openai.verbosity.high')
-    }
-  ]
+  const verbosityOptions = useMemo(() => {
+    const allOptions = [
+      {
+        value: 'low',
+        label: t('settings.openai.verbosity.low')
+      },
+      {
+        value: 'medium',
+        label: t('settings.openai.verbosity.medium')
+      },
+      {
+        value: 'high',
+        label: t('settings.openai.verbosity.high')
+      }
+    ]
+    const supportedVerbosityLevels = getModelSupportedVerbosity(model)
+    return allOptions.filter((option) => supportedVerbosityLevels.includes(option.value as any))
+  }, [model, t])
 
   const serviceTierOptions = useMemo(() => {
     let baseOptions: { value: ServiceTier; label: string }[]
@@ -155,6 +160,15 @@ const OpenAISettingsGroup: FC<Props> = ({ model, providerId, SettingGroup, Setti
     }
   }, [provider.id, serviceTierMode, serviceTierOptions, setServiceTierMode])
 
+  useEffect(() => {
+    if (verbosity && !verbosityOptions.some((option) => option.value === verbosity)) {
+      const supportedVerbosityLevels = getModelSupportedVerbosity(model)
+      // Default to the highest supported verbosity level
+      const defaultVerbosity = supportedVerbosityLevels[supportedVerbosityLevels.length - 1]
+      setVerbosity(defaultVerbosity)
+    }
+  }, [model, verbosity, verbosityOptions, setVerbosity])
+
   if (!isOpenAIReasoning && !isSupportServiceTier && !isSupportVerbosity) {
     return null
   }

src/renderer/src/pages/settings/AssistantSettings/AssistantModelSettings.tsx

@@ -9,6 +9,7 @@ import { DEFAULT_CONTEXTCOUNT, DEFAULT_TEMPERATURE, MAX_CONTEXT_COUNT } from '@r
 import { isEmbeddingModel, isRerankModel } from '@renderer/config/models'
 import { useTimer } from '@renderer/hooks/useTimer'
 import { SettingRow } from '@renderer/pages/settings'
+import { DEFAULT_ASSISTANT_SETTINGS } from '@renderer/services/AssistantService'
 import type { Assistant, AssistantSettingCustomParameters, AssistantSettings, Model } from '@renderer/types'
 import { modalConfirm } from '@renderer/utils'
 import { Button, Col, Divider, Input, InputNumber, Row, Select, Slider, Switch, Tooltip } from 'antd'
@@ -31,7 +32,9 @@ const AssistantModelSettings: FC<Props> = ({ assistant, updateAssistant, updateA
   const [enableMaxTokens, setEnableMaxTokens] = useState(assistant?.settings?.enableMaxTokens ?? false)
   const [maxTokens, setMaxTokens] = useState(assistant?.settings?.maxTokens ?? 0)
   const [streamOutput, setStreamOutput] = useState(assistant?.settings?.streamOutput)
-  const [toolUseMode, setToolUseMode] = useState(assistant?.settings?.toolUseMode ?? 'prompt')
+  const [toolUseMode, setToolUseMode] = useState<AssistantSettings['toolUseMode']>(
+    assistant?.settings?.toolUseMode ?? 'function'
+  )
   const [defaultModel, setDefaultModel] = useState(assistant?.defaultModel)
   const [topP, setTopP] = useState(assistant?.settings?.topP ?? 1)
   const [enableTopP, setEnableTopP] = useState(assistant?.settings?.enableTopP ?? false)
@@ -158,28 +161,17 @@ const AssistantModelSettings: FC<Props> = ({ assistant, updateAssistant, updateA
   }
 
   const onReset = () => {
-    setTemperature(DEFAULT_TEMPERATURE)
-    setEnableTemperature(true)
-    setContextCount(DEFAULT_CONTEXTCOUNT)
-    setEnableMaxTokens(false)
-    setMaxTokens(0)
-    setStreamOutput(true)
-    setTopP(1)
-    setEnableTopP(false)
-    setCustomParameters([])
-    setToolUseMode('prompt')
-    updateAssistantSettings({
-      temperature: DEFAULT_TEMPERATURE,
-      enableTemperature: true,
-      contextCount: DEFAULT_CONTEXTCOUNT,
-      enableMaxTokens: false,
-      maxTokens: 0,
-      streamOutput: true,
-      topP: 1,
-      enableTopP: false,
-      customParameters: [],
-      toolUseMode: 'prompt'
-    })
+    setTemperature(DEFAULT_ASSISTANT_SETTINGS.temperature)
+    setEnableTemperature(DEFAULT_ASSISTANT_SETTINGS.enableTemperature ?? true)
+    setContextCount(DEFAULT_ASSISTANT_SETTINGS.contextCount)
+    setEnableMaxTokens(DEFAULT_ASSISTANT_SETTINGS.enableMaxTokens ?? false)
+    setMaxTokens(DEFAULT_ASSISTANT_SETTINGS.maxTokens ?? 0)
+    setStreamOutput(DEFAULT_ASSISTANT_SETTINGS.streamOutput)
+    setTopP(DEFAULT_ASSISTANT_SETTINGS.topP)
+    setEnableTopP(DEFAULT_ASSISTANT_SETTINGS.enableTopP ?? false)
+    setCustomParameters(DEFAULT_ASSISTANT_SETTINGS.customParameters ?? [])
+    setToolUseMode(DEFAULT_ASSISTANT_SETTINGS.toolUseMode)
+    updateAssistantSettings(DEFAULT_ASSISTANT_SETTINGS)
   }
   const modelFilter = (model: Model) => !isEmbeddingModel(model) && !isRerankModel(model)
 

src/renderer/src/services/ApiService.ts

@@ -6,7 +6,7 @@ import AiProvider from '@renderer/aiCore'
 import type { CompletionsParams } from '@renderer/aiCore/legacy/middleware/schemas'
 import type { AiSdkMiddlewareConfig } from '@renderer/aiCore/middleware/AiSdkMiddlewareBuilder'
 import { buildStreamTextParams } from '@renderer/aiCore/prepareParams'
-import { isDedicatedImageGenerationModel, isEmbeddingModel } from '@renderer/config/models'
+import { isDedicatedImageGenerationModel, isEmbeddingModel, isFunctionCallingModel } from '@renderer/config/models'
 import { getStoreSetting } from '@renderer/hooks/useSettings'
 import i18n from '@renderer/i18n'
 import store from '@renderer/store'
@@ -18,6 +18,7 @@ import type { Message } from '@renderer/types/newMessage'
 import type { SdkModel } from '@renderer/types/sdk'
 import { removeSpecialCharactersForTopicName, uuid } from '@renderer/utils'
 import { abortCompletion, readyToAbort } from '@renderer/utils/abortController'
+import { isToolUseModeFunction } from '@renderer/utils/assistant'
 import { isAbortError } from '@renderer/utils/error'
 import { purifyMarkdownImages } from '@renderer/utils/markdown'
 import { isPromptToolUse, isSupportedToolUse } from '@renderer/utils/mcp-tools'
@@ -126,12 +127,16 @@ export async function fetchChatCompletion({
     requestOptions: options
   })
 
+  // Safely fallback to prompt tool use when function calling is not supported by model.
+  const usePromptToolUse =
+    isPromptToolUse(assistant) || (isToolUseModeFunction(assistant) && !isFunctionCallingModel(assistant.model))
+
   const middlewareConfig: AiSdkMiddlewareConfig = {
     streamOutput: assistant.settings?.streamOutput ?? true,
     onChunk: onChunkReceived,
     model: assistant.model,
     enableReasoning: capabilities.enableReasoning,
-    isPromptToolUse: isPromptToolUse(assistant),
+    isPromptToolUse: usePromptToolUse,
     isSupportedToolUse: isSupportedToolUse(assistant),
     isImageGenerationEndpoint: isDedicatedImageGenerationModel(assistant.model || getDefaultModel()),
     webSearchPluginConfig: webSearchPluginConfig,

src/renderer/src/services/AssistantService.ts

@@ -36,9 +36,10 @@ export const DEFAULT_ASSISTANT_SETTINGS: AssistantSettings = {
   streamOutput: true,
   topP: 1,
   enableTopP: false,
-  toolUseMode: 'prompt',
+  // It would gracefully fallback to prompt if not supported by model.
+  toolUseMode: 'function',
   customParameters: []
-}
+} as const
 
 export function getDefaultAssistant(): Assistant {
   return {
@@ -176,7 +177,7 @@ export const getAssistantSettings = (assistant: Assistant): AssistantSettings =>
     enableMaxTokens: assistant?.settings?.enableMaxTokens ?? false,
     maxTokens: getAssistantMaxTokens(),
     streamOutput: assistant?.settings?.streamOutput ?? true,
-    toolUseMode: assistant?.settings?.toolUseMode ?? 'prompt',
+    toolUseMode: assistant?.settings?.toolUseMode ?? 'function',
     defaultModel: assistant?.defaultModel ?? undefined,
     reasoning_effort: assistant?.settings?.reasoning_effort ?? undefined,
     customParameters: assistant?.settings?.customParameters ?? []

src/renderer/src/services/ConversationService.ts

@@ -1,4 +1,5 @@
 import { convertMessagesToSdkMessages } from '@renderer/aiCore/prepareParams'
+import { isGeminiGenerateImageModel } from '@renderer/aiCore/utils/image'
 import type { Assistant, Message } from '@renderer/types'
 import { filterAdjacentUserMessaegs, filterLastAssistantMessage } from '@renderer/utils/messageUtils/filters'
 import type { ModelMessage } from 'ai'
@@ -17,7 +18,14 @@ export class ConversationService {
     messages: Message[],
     assistant: Assistant
   ): Promise<{ modelMessages: ModelMessage[]; uiMessages: Message[] }> {
-    const { contextCount } = getAssistantSettings(assistant)
+    let { contextCount } = getAssistantSettings(assistant)
+
+    contextCount = contextCount + 2
+
+    if (assistant.model && isGeminiGenerateImageModel(assistant.model)) {
+      contextCount = 1
+    }
+
     // This logic is extracted from the original ApiService.fetchChatCompletion
     // const contextMessages = filterContextMessages(messages)
     const lastUserMessage = findLast(messages, (m) => m.role === 'user')
@@ -37,7 +45,7 @@ export class ConversationService {
     const filteredMessages4 = filterAdjacentUserMessaegs(filteredMessages3)
 
     let uiMessages = filterUserRoleStartMessages(
-      filterEmptyMessages(filterAfterContextClearMessages(takeRight(filteredMessages4, contextCount + 2))) // 取原来几个provider的最大值
+      filterEmptyMessages(filterAfterContextClearMessages(takeRight(filteredMessages4, contextCount))) // 取原来几个provider的最大值
     )
 
     // Fallback: ensure at least the last user message is present to avoid empty payloads

src/renderer/src/store/index.ts

@@ -67,7 +67,7 @@ const persistedReducer = persistReducer(
   {
     key: 'cherry-studio',
     storage,
-    version: 174,
+    version: 176,
     blacklist: ['runtime', 'messages', 'messageBlocks', 'tabs', 'toolPermissions'],
     migrate
   },

src/renderer/src/store/migrate.ts

@@ -2819,6 +2819,43 @@ const migrateConfig = {
       logger.error('migrate 174 error', error as Error)
       return state
     }
+  },
+  '175': (state: RootState) => {
+    try {
+      state.assistants.assistants.forEach((assistant) => {
+        // @ts-ignore
+        if (assistant.settings?.reasoning_effort === 'off') {
+          // @ts-ignore
+          assistant.settings.reasoning_effort = 'none'
+        }
+        // @ts-ignore
+        if (assistant.settings?.reasoning_effort_cache === 'off') {
+          // @ts-ignore
+          assistant.settings.reasoning_effort_cache = 'none'
+        }
+      })
+      logger.info('migrate 175 success')
+      return state
+    } catch (error) {
+      logger.error('migrate 175 error', error as Error)
+      return state
+    }
+  },
+  '176': (state: RootState) => {
+    try {
+      state.llm.providers.forEach((provider) => {
+        if (provider.id === SystemProviderIds.qiniu) {
+          provider.anthropicApiHost = 'https://api.qnaigc.com'
+        }
+        if (provider.id === SystemProviderIds.longcat) {
+          provider.anthropicApiHost = 'https://api.longcat.chat/anthropic'
+        }
+      })
+      return state
+    } catch (error) {
+      logger.error('migrate 176 error', error as Error)
+      return state
+    }
   }
 }
 

src/renderer/src/types/index.ts

@@ -83,7 +83,10 @@ const ThinkModelTypes = [
   'o',
   'openai_deep_research',
   'gpt5',
+  'gpt5_1',
   'gpt5_codex',
+  'gpt5_1_codex',
+  'gpt5pro',
   'grok',
   'grok4_fast',
   'gemini',
@@ -100,7 +103,7 @@ const ThinkModelTypes = [
 ] as const
 
 export type ReasoningEffortOption = NonNullable<OpenAI.ReasoningEffort> | 'auto'
-export type ThinkingOption = ReasoningEffortOption | 'off'
+export type ThinkingOption = ReasoningEffortOption
 export type ThinkingModelType = (typeof ThinkModelTypes)[number]
 export type ThinkingOptionConfig = Record<ThinkingModelType, ThinkingOption[]>
 export type ReasoningEffortConfig = Record<ThinkingModelType, ReasoningEffortOption[]>
@@ -111,6 +114,7 @@ export function isThinkModelType(type: string): type is ThinkingModelType {
 }
 
 export const EFFORT_RATIO: EffortRatio = {
+  none: 0.01,
   minimal: 0.05,
   low: 0.05,
   medium: 0.5,

src/renderer/src/types/sdk.ts

@@ -126,6 +126,10 @@ export type OpenAIExtraBody = {
     source_lang: 'auto'
     target_lang: string
   }
+  // for gpt-5 series models verbosity control
+  text?: {
+    verbosity?: 'low' | 'medium' | 'high'
+  }
 }
 // image is for openrouter. audio is ignored for now
 export type OpenAIModality = OpenAI.ChatCompletionModality | 'image'

yarn.lock

@@ -102,7 +102,7 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@ai-sdk/anthropic@npm:2.0.44":
+"@ai-sdk/anthropic@npm:2.0.44, @ai-sdk/anthropic@npm:^2.0.44":
   version: 2.0.44
   resolution: "@ai-sdk/anthropic@npm:2.0.44"
   dependencies:
@@ -206,6 +206,18 @@ __metadata:
   languageName: node
   linkType: hard
 
+"@ai-sdk/google@npm:^2.0.32":
+  version: 2.0.32
+  resolution: "@ai-sdk/google@npm:2.0.32"
+  dependencies:
+    "@ai-sdk/provider": "npm:2.0.0"
+    "@ai-sdk/provider-utils": "npm:3.0.17"
+  peerDependencies:
+    zod: ^3.25.76 || ^4.1.8
+  checksum: 10c0/052de16f1f66188e126168c8a9cc903448104528c7e44d6867bbf555c9067b9d6d44a4c4e0e014838156ba39095cb417f1b76363eb65212ca4d005f3651e58d2
+  languageName: node
+  linkType: hard
+
 "@ai-sdk/google@patch:@ai-sdk/google@npm%3A2.0.31#~/.yarn/patches/@ai-sdk-google-npm-2.0.31-b0de047210.patch":
   version: 2.0.31
   resolution: "@ai-sdk/google@patch:@ai-sdk/google@npm%3A2.0.31#~/.yarn/patches/@ai-sdk-google-npm-2.0.31-b0de047210.patch::version=2.0.31&hash=9f3835"
@@ -2140,9 +2152,9 @@ __metadata:
   languageName: unknown
   linkType: soft
 
-"@cherrystudio/openai@npm:^6.5.0":
-  version: 6.5.0
-  resolution: "@cherrystudio/openai@npm:6.5.0"
+"@cherrystudio/openai@npm:^6.9.0":
+  version: 6.9.0
+  resolution: "@cherrystudio/openai@npm:6.9.0"
   peerDependencies:
     ws: ^8.18.0
     zod: ^3.25 || ^4.0
@@ -2153,7 +2165,7 @@ __metadata:
       optional: true
   bin:
     openai: bin/cli
-  checksum: 10c0/0f6cafb97aec17037d5ddcccc88e4b4a9c8de77a989a35bab2394b682a1a69e8a9343e8ee5eb8107d5c495970dbf3567642f154c033f7afc3bf078078666a92e
+  checksum: 10c0/9c51ef33c5b9d08041a115e3d6a8158412a379998a0eae186923d5bdcc808b634c1fef4471a1d499bb8c624b04c075167bc90a1a60a805005c0657ecebbb58d0
   languageName: node
   linkType: hard
 
@@ -5169,15 +5181,15 @@ __metadata:
   languageName: node
   linkType: hard
 
-"@opeoginni/github-copilot-openai-compatible@npm:0.1.19":
-  version: 0.1.19
-  resolution: "@opeoginni/github-copilot-openai-compatible@npm:0.1.19"
+"@opeoginni/github-copilot-openai-compatible@npm:0.1.21":
+  version: 0.1.21
+  resolution: "@opeoginni/github-copilot-openai-compatible@npm:0.1.21"
   dependencies:
     "@ai-sdk/openai": "npm:^2.0.42"
     "@ai-sdk/openai-compatible": "npm:^1.0.19"
     "@ai-sdk/provider": "npm:^2.1.0-beta.4"
     "@ai-sdk/provider-utils": "npm:^3.0.10"
-  checksum: 10c0/dfb01832d7c704b2eb080fc09d31b07fc26e5ac4e648ce219dc0d80cf044ef3cae504427781ec2ce3c5a2459c9c81d043046a255642108d5b3de0f83f4a9f20a
+  checksum: 10c0/05b73d935dc7f24123330ade919698b486ac2a25a7d607c1d3789471f782ead4c803ce6ffd3d97b9ca3f1aadaf6b5c1ea52363c9d24b36894fcfc403fda9cef3
   languageName: node
   linkType: hard
 
@@ -9891,8 +9903,10 @@ __metadata:
     "@agentic/searxng": "npm:^7.3.3"
     "@agentic/tavily": "npm:^7.3.3"
     "@ai-sdk/amazon-bedrock": "npm:^3.0.53"
+    "@ai-sdk/anthropic": "npm:^2.0.44"
     "@ai-sdk/cerebras": "npm:^1.0.31"
     "@ai-sdk/gateway": "npm:^2.0.9"
+    "@ai-sdk/google": "npm:^2.0.32"
     "@ai-sdk/google-vertex": "npm:^3.0.62"
     "@ai-sdk/huggingface": "patch:@ai-sdk/huggingface@npm%3A0.0.8#~/.yarn/patches/@ai-sdk-huggingface-npm-0.0.8-d4d0aaac93.patch"
     "@ai-sdk/mistral": "npm:^2.0.23"
@@ -9919,7 +9933,7 @@ __metadata:
     "@cherrystudio/embedjs-ollama": "npm:^0.1.31"
     "@cherrystudio/embedjs-openai": "npm:^0.1.31"
     "@cherrystudio/extension-table-plus": "workspace:^"
-    "@cherrystudio/openai": "npm:^6.5.0"
+    "@cherrystudio/openai": "npm:^6.9.0"
     "@dnd-kit/core": "npm:^6.3.1"
     "@dnd-kit/modifiers": "npm:^9.0.0"
     "@dnd-kit/sortable": "npm:^10.0.0"
@@ -9952,7 +9966,7 @@ __metadata:
     "@opentelemetry/sdk-trace-base": "npm:^2.0.0"
     "@opentelemetry/sdk-trace-node": "npm:^2.0.0"
     "@opentelemetry/sdk-trace-web": "npm:^2.0.0"
-    "@opeoginni/github-copilot-openai-compatible": "npm:0.1.19"
+    "@opeoginni/github-copilot-openai-compatible": "npm:0.1.21"
     "@paymoapp/electron-shutdown-handler": "npm:^1.1.2"
     "@playwright/test": "npm:^1.52.0"
     "@radix-ui/react-context-menu": "npm:^2.2.16"