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Merge branch 'main' of into v2

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fullex 2025-11-17 19:51:07 +08:00
commit 5fdfa5a594
43 changed files with 692 additions and 199 deletions
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6
package.json
View File

@ -111,8 +111,10 @@
"@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",
@ -138,7 +140,7 @@
"@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",
"@cherrystudio/ui": "workspace:*",
"@dnd-kit/core": "^6.3.1",
"@dnd-kit/modifiers": "^9.0.0",
@ -168,7 +170,7 @@
"@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",

2
packages/shared/config/constant.ts
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@ -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 {

109
src/main/knowledge/preprocess/MineruPreprocessProvider.ts
View File

@ -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 as unknown as BodyInit
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...`)
}

49
src/main/knowledge/preprocess/OpenMineruPreprocessProvider.ts
View File

@ -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) {

9
src/renderer/src/aiCore/legacy/clients/BaseApiClient.ts
View File

@ -1,6 +1,7 @@
import { cacheService } from '@data/CacheService'
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) {

8
src/renderer/src/aiCore/legacy/clients/openai/OpenAIApiClient.ts
View File

@ -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),

23
src/renderer/src/aiCore/legacy/clients/openai/OpenAIBaseClient.ts
View File

@ -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

28
src/renderer/src/aiCore/legacy/clients/openai/OpenAIResponseAPIClient.ts
View File

@ -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)
}
}
: {}),

13
src/renderer/src/aiCore/prepareParams/header.ts Normal file
View File

@ -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
}

15
src/renderer/src/aiCore/prepareParams/parameterBuilder.ts
View File

@ -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

29
src/renderer/src/aiCore/utils/options.ts
View File

@ -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
}

65
src/renderer/src/aiCore/utils/reasoning.ts
View File

@ -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 {}

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8
src/renderer/src/config/models/logo.ts
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@ -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,

39
src/renderer/src/config/models/reasoning.ts
View File

@ -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'))
)
}

31
src/renderer/src/config/models/utils.ts
View File

@ -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')
}

2
src/renderer/src/config/models/websearch.ts
View File

@ -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)
}

11
src/renderer/src/config/providers.ts
View File

@ -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'
@ -1519,7 +1519,10 @@ 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 +1573,10 @@ 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) => {

6
src/renderer/src/hooks/useAssistant.ts
View File

@ -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.

2
src/renderer/src/i18n/label.ts
View File

@ -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',

3
src/renderer/src/i18n/locales/en-us.json
View File

@ -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."

5
src/renderer/src/i18n/locales/zh-cn.json
View File

@ -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"

5
src/renderer/src/i18n/locales/zh-tw.json
View File

@ -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"

5
src/renderer/src/i18n/translate/de-de.json
View File

@ -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"

5
src/renderer/src/i18n/translate/el-gr.json
View File

@ -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"

5
src/renderer/src/i18n/translate/es-es.json
View File

@ -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"

5
src/renderer/src/i18n/translate/fr-fr.json
View File

@ -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"

5
src/renderer/src/i18n/translate/ja-jp.json
View File

@ -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"

5
src/renderer/src/i18n/translate/pt-pt.json
View File

@ -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"

5
src/renderer/src/i18n/translate/ru-ru.json
View File

@ -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"

2
src/renderer/src/pages/home/Inputbar/AgentSessionInputbar.tsx
View File

@ -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]

27
src/renderer/src/pages/home/Inputbar/tools/components/ThinkingButton.tsx
View File

@ -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
}
@ -144,15 +144,16 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
return (
<Tooltip
content={
isThinkingEnabled && supportedOptions.includes('off')
placement="top"
title={
isThinkingEnabled && supportedOptions.includes('none')
? t('common.close')
: t('assistants.settings.reasoning_effort.label')
}
closeDelay={0}>
<ActionIconButton
onClick={handleOpenQuickPanel}
active={currentReasoningEffort !== 'off'}
active={currentReasoningEffort !== 'none'}
icon={ThinkingIcon(currentReasoningEffort)}
/>
</Tooltip>
@ -178,7 +179,7 @@ const ThinkingIcon = (option?: ThinkingOption) => {
case 'auto':
IconComponent = MdiLightbulbAutoOutline
break
case 'off':
case 'none':
IconComponent = MdiLightbulbOffOutline
break
default:

5
src/renderer/src/pages/home/Inputbar/tools/urlContextTool.tsx
View File

@ -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} />
})

27
src/renderer/src/pages/home/Messages/Tools/MessageAgentTools/TodoWriteTool.tsx
View File

@ -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">

42
src/renderer/src/pages/home/Tabs/components/OpenAISettingsGroup.tsx
View File

@ -1,6 +1,7 @@
import { HelpTooltip } from '@cherrystudio/ui'
import Selector from '@renderer/components/Selector'
import {
getModelSupportedVerbosity,
isSupportedReasoningEffortOpenAIModel,
isSupportFlexServiceTierModel,
isSupportVerbosityModel
@ -79,20 +80,24 @@ 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 }[]
@ -154,6 +159,15 @@ 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
}

2
src/renderer/src/store/index.ts
View File

@ -71,7 +71,7 @@ const persistedReducer = persistReducer(
{
key: 'cherry-studio',
storage,
version: 174,
version: 175,
blacklist: ['runtime', 'messages', 'messageBlocks', 'tabs', 'toolPermissions'],
migrate
},

19
src/renderer/src/store/migrate.ts
View File

@ -2824,6 +2824,25 @@ const migrateConfig = {
logger.error('migrate 174 error', error as Error)
return state
}
},
'175': (state: RootState) => {
try {
state.assistants.assistants.forEach((assistant) => {
// @ts-expect-error removed type 'off'
if (assistant.settings?.reasoning_effort === 'off') {
assistant.settings.reasoning_effort = 'none'
}
// @ts-expect-error removed type 'off'
if (assistant.settings?.reasoning_effort_cache === 'off') {
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
}
}
}

6
src/renderer/src/types/index.ts
View File

@ -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,

4
src/renderer/src/types/sdk.ts
View File

@ -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'

254
yarn.lock
View File

@ -102,7 +102,7 @@ __metadata:
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resolution: "@ai-sdk/anthropic@npm:2.0.44"
dependencies:
@ -206,6 +206,18 @@ __metadata:
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linkType: hard
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languageName: node
linkType: hard
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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"
@ -1404,7 +1416,7 @@ __metadata:
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linkType: hard
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resolution: "@aws-sdk/types@npm:3.910.0"
dependencies:
@ -1414,6 +1426,16 @@ __metadata:
languageName: node
linkType: hard
"@aws-sdk/types@npm:^3.222.0":
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resolution: "@aws-sdk/types@npm:3.840.0"
dependencies:
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tslib: "npm:^2.6.2"
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resolution: "@babel/parser@npm:7.28.5"
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@ -1705,6 +1716,17 @@ __metadata:
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resolution: "@babel/types@npm:7.28.4"
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@ -1784,6 +1813,26 @@ __metadata:
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@ -2176,9 +2225,9 @@ __metadata:
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zod: ^3.25 || ^4.0
@ -2189,7 +2238,7 @@ __metadata:
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