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Merge branch 'main' into feat/bonjour

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eeee0717 2025-12-18 17:48:30 +08:00
commit 70a19f668c
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15
.yarn/patches/@ai-sdk-google-npm-2.0.43-689ed559b3.patch → .yarn/patches/@ai-sdk-google-npm-2.0.49-84720f41bd.patch vendored
View File

@ -1,5 +1,5 @@
diff --git a/dist/index.js b/dist/index.js
index 51ce7e423934fb717cb90245cdfcdb3dae6780e6..0f7f7009e2f41a79a8669d38c8a44867bbff5e1f 100644
index d004b415c5841a1969705823614f395265ea5a8a..6b1e0dad4610b0424393ecc12e9114723bbe316b 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -474,7 +474,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
@ -12,7 +12,7 @@ index 51ce7e423934fb717cb90245cdfcdb3dae6780e6..0f7f7009e2f41a79a8669d38c8a44867
// src/google-generative-ai-options.ts
diff --git a/dist/index.mjs b/dist/index.mjs
index f4b77e35c0cbfece85a3ef0d4f4e67aa6dde6271..8d2fecf8155a226006a0bde72b00b6036d4014b6 100644
index 1780dd2391b7f42224a0b8048c723d2f81222c44..1f12ed14399d6902107ce9b435d7d8e6cc61e06b 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -480,7 +480,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
@ -24,3 +24,14 @@ index f4b77e35c0cbfece85a3ef0d4f4e67aa6dde6271..8d2fecf8155a226006a0bde72b00b603
}
// src/google-generative-ai-options.ts
@@ -1909,8 +1909,7 @@ function createGoogleGenerativeAI(options = {}) {
}
var google = createGoogleGenerativeAI();
export {
- VERSION,
createGoogleGenerativeAI,
- google
+ google, VERSION
};
//# sourceMappingURL=index.mjs.map
\ No newline at end of file

7
package.json
View File

@ -113,8 +113,8 @@
"@ai-sdk/anthropic": "^2.0.49",
"@ai-sdk/cerebras": "^1.0.31",
"@ai-sdk/gateway": "^2.0.15",
"@ai-sdk/google": "patch:@ai-sdk/google@npm%3A2.0.43#~/.yarn/patches/@ai-sdk-google-npm-2.0.43-689ed559b3.patch",
"@ai-sdk/google-vertex": "^3.0.79",
"@ai-sdk/google": "patch:@ai-sdk/google@npm%3A2.0.49#~/.yarn/patches/@ai-sdk-google-npm-2.0.49-84720f41bd.patch",
"@ai-sdk/google-vertex": "^3.0.94",
"@ai-sdk/huggingface": "^0.0.10",
"@ai-sdk/mistral": "^2.0.24",
"@ai-sdk/openai": "patch:@ai-sdk/openai@npm%3A2.0.85#~/.yarn/patches/@ai-sdk-openai-npm-2.0.85-27483d1d6a.patch",
@ -415,7 +415,8 @@
"@langchain/openai@npm:>=0.2.0 <0.7.0": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
"@ai-sdk/openai@npm:^2.0.42": "patch:@ai-sdk/openai@npm%3A2.0.85#~/.yarn/patches/@ai-sdk-openai-npm-2.0.85-27483d1d6a.patch",
"@ai-sdk/google@npm:^2.0.40": "patch:@ai-sdk/google@npm%3A2.0.40#~/.yarn/patches/@ai-sdk-google-npm-2.0.40-47e0eeee83.patch",
"@ai-sdk/openai-compatible@npm:^1.0.27": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch"
"@ai-sdk/openai-compatible@npm:^1.0.27": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch",
"@ai-sdk/google@npm:2.0.49": "patch:@ai-sdk/google@npm%3A2.0.49#~/.yarn/patches/@ai-sdk-google-npm-2.0.49-84720f41bd.patch"
},
"packageManager": "yarn@4.9.1",
"lint-staged": {

20
src/main/services/MCPService.ts
View File

@ -249,6 +249,26 @@ class McpService {
StdioClientTransport | SSEClientTransport | InMemoryTransport | StreamableHTTPClientTransport
> => {
// Create appropriate transport based on configuration
// Special case for nowledgeMem - uses HTTP transport instead of in-memory
if (isBuiltinMCPServer(server) && server.name === BuiltinMCPServerNames.nowledgeMem) {
const nowledgeMemUrl = 'http://127.0.0.1:14242/mcp'
const options: StreamableHTTPClientTransportOptions = {
fetch: async (url, init) => {
return net.fetch(typeof url === 'string' ? url : url.toString(), init)
},
requestInit: {
headers: {
...defaultAppHeaders(),
APP: 'Cherry Studio'
}
},
authProvider
}
getServerLogger(server).debug(`Using StreamableHTTPClientTransport for ${server.name}`)
return new StreamableHTTPClientTransport(new URL(nowledgeMemUrl), options)
}
if (isBuiltinMCPServer(server) && server.name !== BuiltinMCPServerNames.mcpAutoInstall) {
getServerLogger(server).debug(`Using in-memory transport`)
const [clientTransport, serverTransport] = InMemoryTransport.createLinkedPair()

6
src/renderer/src/aiCore/legacy/clients/openai/OpenAIApiClient.ts
View File

@ -142,6 +142,10 @@ export class OpenAIAPIClient extends OpenAIBaseClient<
return { thinking: { type: reasoningEffort ? 'enabled' : 'disabled' } }
}
if (reasoningEffort === 'default') {
return {}
}
if (!reasoningEffort) {
// DeepSeek hybrid inference models, v3.1 and maybe more in the future
// 不同的 provider 有不同的思考控制方式，在这里统一解决
@ -303,7 +307,7 @@ export class OpenAIAPIClient extends OpenAIBaseClient<
// Grok models/Perplexity models/OpenAI models
if (isSupportedReasoningEffortModel(model)) {
// 检查模型是否支持所选选项
const supportedOptions = getModelSupportedReasoningEffortOptions(model)
const supportedOptions = getModelSupportedReasoningEffortOptions(model)?.filter((option) => option !== 'default')
if (supportedOptions?.includes(reasoningEffort)) {
return {
reasoning_effort: reasoningEffort

2
src/renderer/src/aiCore/legacy/clients/openai/OpenAIBaseClient.ts
View File

@ -69,7 +69,7 @@ export abstract class OpenAIBaseClient<
const sdk = await this.getSdkInstance()
const response = (await sdk.request({
method: 'post',
path: '/images/generations',
path: '/v1/images/generations',
signal,
body: {
model,

2
src/renderer/src/aiCore/prepareParams/__tests__/model-parameters.test.ts
View File

@ -18,7 +18,7 @@ vi.mock('@renderer/services/AssistantService', () => ({
toolUseMode: assistant.settings?.toolUseMode ?? 'prompt',
defaultModel: assistant.defaultModel,
customParameters: assistant.settings?.customParameters ?? [],
reasoning_effort: assistant.settings?.reasoning_effort,
reasoning_effort: assistant.settings?.reasoning_effort ?? 'default',
reasoning_effort_cache: assistant.settings?.reasoning_effort_cache,
qwenThinkMode: assistant.settings?.qwenThinkMode
})

107
src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts
View File

@ -11,6 +11,7 @@ import { beforeEach, describe, expect, it, vi } from 'vitest'
import {
getAnthropicReasoningParams,
getAnthropicThinkingBudget,
getBedrockReasoningParams,
getCustomParameters,
getGeminiReasoningParams,
@ -89,7 +90,8 @@ vi.mock('@renderer/config/models', async (importOriginal) => {
isQwenAlwaysThinkModel: vi.fn(() => false),
isSupportedThinkingTokenHunyuanModel: vi.fn(() => false),
isSupportedThinkingTokenModel: vi.fn(() => false),
isGPT51SeriesModel: vi.fn(() => false)
isGPT51SeriesModel: vi.fn(() => false),
findTokenLimit: vi.fn(actual.findTokenLimit)
}
})
@ -596,7 +598,7 @@ describe('reasoning utils', () => {
expect(result).toEqual({})
})
it('should return disabled thinking when no reasoning effort', async () => {
it('should return disabled thinking when reasoning effort is none', async () => {
const { isReasoningModel, isSupportedThinkingTokenClaudeModel } = await import('@renderer/config/models')
vi.mocked(isReasoningModel).mockReturnValue(true)
@ -611,7 +613,9 @@ describe('reasoning utils', () => {
const assistant: Assistant = {
id: 'test',
name: 'Test',
settings: {}
settings: {
reasoning_effort: 'none'
}
} as Assistant
const result = getAnthropicReasoningParams(assistant, model)
@ -647,7 +651,7 @@ describe('reasoning utils', () => {
expect(result).toEqual({
thinking: {
type: 'enabled',
budgetTokens: 2048
budgetTokens: 4096
}
})
})
@ -675,7 +679,7 @@ describe('reasoning utils', () => {
expect(result).toEqual({})
})
it('should disable thinking for Flash models without reasoning effort', async () => {
it('should disable thinking for Flash models when reasoning effort is none', async () => {
const { isReasoningModel, isSupportedThinkingTokenGeminiModel } = await import('@renderer/config/models')
vi.mocked(isReasoningModel).mockReturnValue(true)
@ -690,7 +694,9 @@ describe('reasoning utils', () => {
const assistant: Assistant = {
id: 'test',
name: 'Test',
settings: {}
settings: {
reasoning_effort: 'none'
}
} as Assistant
const result = getGeminiReasoningParams(assistant, model)
@ -725,7 +731,7 @@ describe('reasoning utils', () => {
const result = getGeminiReasoningParams(assistant, model)
expect(result).toEqual({
thinkingConfig: {
thinkingBudget: 16448,
thinkingBudget: expect.any(Number),
includeThoughts: true
}
})
@ -889,7 +895,7 @@ describe('reasoning utils', () => {
expect(result).toEqual({
reasoningConfig: {
type: 'enabled',
budgetTokens: 2048
budgetTokens: 4096
}
})
})
@ -990,4 +996,89 @@ describe('reasoning utils', () => {
})
})
})
describe('getAnthropicThinkingBudget', () => {
it('should return undefined when reasoningEffort is undefined', async () => {
const result = getAnthropicThinkingBudget(4096, undefined, 'claude-3-7-sonnet')
expect(result).toBeUndefined()
})
it('should return undefined when reasoningEffort is none', async () => {
const result = getAnthropicThinkingBudget(4096, 'none', 'claude-3-7-sonnet')
expect(result).toBeUndefined()
})
it('should return undefined when tokenLimit is not found', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue(undefined)
const result = getAnthropicThinkingBudget(4096, 'medium', 'unknown-model')
expect(result).toBeUndefined()
})
it('should calculate budget correctly when maxTokens is provided', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue({ min: 1024, max: 32768 })
const result = getAnthropicThinkingBudget(4096, 'medium', 'claude-3-7-sonnet')
// EFFORT_RATIO['medium'] = 0.5
// budget = Math.floor((32768 - 1024) * 0.5 + 1024)
// = Math.floor(31744 * 0.5 + 1024) = Math.floor(15872 + 1024) = 16896
// budgetTokens = Math.min(16896, 4096) = 4096
// result = Math.max(1024, 4096) = 4096
expect(result).toBe(4096)
})
it('should use tokenLimit.max when maxTokens is undefined', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue({ min: 1024, max: 32768 })
const result = getAnthropicThinkingBudget(undefined, 'medium', 'claude-3-7-sonnet')
// When maxTokens is undefined, budget is not constrained by maxTokens
// EFFORT_RATIO['medium'] = 0.5
// budget = Math.floor((32768 - 1024) * 0.5 + 1024)
// = Math.floor(31744 * 0.5 + 1024) = Math.floor(15872 + 1024) = 16896
// result = Math.max(1024, 16896) = 16896
expect(result).toBe(16896)
})
it('should enforce minimum budget of 1024', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue({ min: 100, max: 1000 })
const result = getAnthropicThinkingBudget(500, 'low', 'claude-3-7-sonnet')
// EFFORT_RATIO['low'] = 0.05
// budget = Math.floor((1000 - 100) * 0.05 + 100)
// = Math.floor(900 * 0.05 + 100) = Math.floor(45 + 100) = 145
// budgetTokens = Math.min(145, 500) = 145
// result = Math.max(1024, 145) = 1024
expect(result).toBe(1024)
})
it('should respect effort ratio for high reasoning effort', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue({ min: 1024, max: 32768 })
const result = getAnthropicThinkingBudget(8192, 'high', 'claude-3-7-sonnet')
// EFFORT_RATIO['high'] = 0.8
// budget = Math.floor((32768 - 1024) * 0.8 + 1024)
// = Math.floor(31744 * 0.8 + 1024) = Math.floor(25395.2 + 1024) = 26419
// budgetTokens = Math.min(26419, 8192) = 8192
// result = Math.max(1024, 8192) = 8192
expect(result).toBe(8192)
})
it('should use full token limit when maxTokens is undefined and reasoning effort is high', async () => {
const { findTokenLimit } = await import('@renderer/config/models')
vi.mocked(findTokenLimit).mockReturnValue({ min: 1024, max: 32768 })
const result = getAnthropicThinkingBudget(undefined, 'high', 'claude-3-7-sonnet')
// When maxTokens is undefined, budget is not constrained by maxTokens
// EFFORT_RATIO['high'] = 0.8
// budget = Math.floor((32768 - 1024) * 0.8 + 1024)
// = Math.floor(31744 * 0.8 + 1024) = Math.floor(25395.2 + 1024) = 26419
// result = Math.max(1024, 26419) = 26419
expect(result).toBe(26419)
})
})
})

103
src/renderer/src/aiCore/utils/reasoning.ts
View File

@ -10,6 +10,7 @@ import {
GEMINI_FLASH_MODEL_REGEX,
getModelSupportedReasoningEffortOptions,
isDeepSeekHybridInferenceModel,
isDoubaoSeed18Model,
isDoubaoSeedAfter251015,
isDoubaoThinkingAutoModel,
isGemini3ThinkingTokenModel,
@ -28,13 +29,14 @@ import {
isSupportedThinkingTokenDoubaoModel,
isSupportedThinkingTokenGeminiModel,
isSupportedThinkingTokenHunyuanModel,
isSupportedThinkingTokenMiMoModel,
isSupportedThinkingTokenModel,
isSupportedThinkingTokenQwenModel,
isSupportedThinkingTokenZhipuModel
} from '@renderer/config/models'
import { getStoreSetting } from '@renderer/hooks/useSettings'
import { getAssistantSettings, getProviderByModel } from '@renderer/services/AssistantService'
import type { Assistant, Model } from '@renderer/types'
import type { Assistant, Model, ReasoningEffortOption } from '@renderer/types'
import { EFFORT_RATIO, isSystemProvider, SystemProviderIds } from '@renderer/types'
import type { OpenAIReasoningSummary } from '@renderer/types/aiCoreTypes'
import type { ReasoningEffortOptionalParams } from '@renderer/types/sdk'
@ -64,7 +66,7 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
// reasoningEffort is not set, no extra reasoning setting
// Generally, for every model which supports reasoning control, the reasoning effort won't be undefined.
// It's for some reasoning models that don't support reasoning control, such as deepseek reasoner.
if (!reasoningEffort) {
if (!reasoningEffort || reasoningEffort === 'default') {
return {}
}
@ -329,7 +331,7 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
// Grok models/Perplexity models/OpenAI models, use reasoning_effort
if (isSupportedReasoningEffortModel(model)) {
// 检查模型是否支持所选选项
const supportedOptions = getModelSupportedReasoningEffortOptions(model)
const supportedOptions = getModelSupportedReasoningEffortOptions(model)?.filter((option) => option !== 'default')
if (supportedOptions?.includes(reasoningEffort)) {
return {
reasoningEffort
@ -389,7 +391,7 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
// Use thinking, doubao, zhipu, etc.
if (isSupportedThinkingTokenDoubaoModel(model)) {
if (isDoubaoSeedAfter251015(model)) {
if (isDoubaoSeedAfter251015(model) || isDoubaoSeed18Model(model)) {
return { reasoningEffort }
}
if (reasoningEffort === 'high') {
@ -408,6 +410,12 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
return { thinking: { type: 'enabled' } }
}
if (isSupportedThinkingTokenMiMoModel(model)) {
return {
thinking: { type: 'enabled' }
}
}
// Default case: no special thinking settings
return {}
}
@ -427,7 +435,7 @@ export function getOpenAIReasoningParams(
let reasoningEffort = assistant?.settings?.reasoning_effort
if (!reasoningEffort) {
if (!reasoningEffort || reasoningEffort === 'default') {
return {}
}
@ -479,16 +487,14 @@ export function getAnthropicThinkingBudget(
return undefined
}
const budgetTokens = Math.max(
1024,
Math.floor(
Math.min(
(tokenLimit.max - tokenLimit.min) * effortRatio + tokenLimit.min,
(maxTokens || DEFAULT_MAX_TOKENS) * effortRatio
)
)
)
return budgetTokens
const budget = Math.floor((tokenLimit.max - tokenLimit.min) * effortRatio + tokenLimit.min)
let budgetTokens = budget
if (maxTokens !== undefined) {
budgetTokens = Math.min(budget, maxTokens)
}
return Math.max(1024, budgetTokens)
}
/**
@ -505,7 +511,11 @@ export function getAnthropicReasoningParams(
const reasoningEffort = assistant?.settings?.reasoning_effort
if (reasoningEffort === undefined || reasoningEffort === 'none') {
if (!reasoningEffort || reasoningEffort === 'default') {
return {}
}
if (reasoningEffort === 'none') {
return {
thinking: {
type: 'disabled'
@ -529,20 +539,25 @@ export function getAnthropicReasoningParams(
return {}
}
// type GoogleThinkingLevel = NonNullable<GoogleGenerativeAIProviderOptions['thinkingConfig']>['thinkingLevel']
type GoogleThinkingLevel = NonNullable<GoogleGenerativeAIProviderOptions['thinkingConfig']>['thinkingLevel']
// function mapToGeminiThinkingLevel(reasoningEffort: ReasoningEffortOption): GoogelThinkingLevel {
// switch (reasoningEffort) {
// case 'low':
// return 'low'
// case 'medium':
// return 'medium'
// case 'high':
// return 'high'
// default:
// return 'medium'
// }
// }
function mapToGeminiThinkingLevel(reasoningEffort: ReasoningEffortOption): GoogleThinkingLevel {
switch (reasoningEffort) {
case 'default':
return undefined
case 'minimal':
return 'minimal'
case 'low':
return 'low'
case 'medium':
return 'medium'
case 'high':
return 'high'
default:
logger.warn('Unknown thinking level for Gemini. Fallback to medium instead.', { reasoningEffort })
return 'medium'
}
}
/**
* 获取 Gemini 推理参数
@ -560,6 +575,10 @@ export function getGeminiReasoningParams(
const reasoningEffort = assistant?.settings?.reasoning_effort
if (!reasoningEffort || reasoningEffort === 'default') {
return {}
}
// Gemini 推理参数
if (isSupportedThinkingTokenGeminiModel(model)) {
if (reasoningEffort === undefined || reasoningEffort === 'none') {
@ -571,15 +590,15 @@ export function getGeminiReasoningParams(
}
}
// TODO: 很多中转还不支持
// https://ai.google.dev/gemini-api/docs/gemini-3?thinking=high#new_api_features_in_gemini_3
// if (isGemini3ThinkingTokenModel(model)) {
// return {
// thinkingConfig: {
// thinkingLevel: mapToGeminiThinkingLevel(reasoningEffort)
// }
// }
// }
if (isGemini3ThinkingTokenModel(model)) {
return {
thinkingConfig: {
includeThoughts: true,
thinkingLevel: mapToGeminiThinkingLevel(reasoningEffort)
}
}
}
const effortRatio = EFFORT_RATIO[reasoningEffort]
@ -620,10 +639,6 @@ export function getXAIReasoningParams(assistant: Assistant, model: Model): Pick<
const { reasoning_effort: reasoningEffort } = getAssistantSettings(assistant)
if (!reasoningEffort || reasoningEffort === 'none') {
return {}
}
switch (reasoningEffort) {
case 'auto':
case 'minimal':
@ -634,6 +649,10 @@ export function getXAIReasoningParams(assistant: Assistant, model: Model): Pick<
return { reasoningEffort }
case 'xhigh':
return { reasoningEffort: 'high' }
case 'default':
case 'none':
default:
return {}
}
}
@ -650,7 +669,7 @@ export function getBedrockReasoningParams(
const reasoningEffort = assistant?.settings?.reasoning_effort
if (reasoningEffort === undefined) {
if (reasoningEffort === undefined || reasoningEffort === 'default') {
return {}
}

17
src/renderer/src/assets/images/models/mimo.svg Normal file
View File

@ -0,0 +1,17 @@
<svg width="100" height="100" viewBox="0 0 100 100" fill="none" xmlns="http://www.w3.org/2000/svg">
<g transform="translate(10, 42) scale(1.35)">
<!-- m -->
<path d="M1.2683 15.9987C0.9317 15.998 0.6091 15.8638 0.3713 15.6256C0.1335 15.3873 0 15.0644 0 14.7278V7.165C0.0148 6.83757 0.1554 6.52848 0.3924 6.30203C0.6293 6.07559 0.9445 5.94922 1.2722 5.94922C1.6 5.94922 1.9152 6.07559 2.1521 6.30203C2.3891 6.52848 2.5296 6.83757 2.5445 7.165V14.7278C2.5442 14.895 2.5109 15.0606 2.4466 15.215C2.3822 15.3693 2.2881 15.5095 2.1696 15.6276C2.0511 15.7456 1.9105 15.8391 1.7559 15.9028C1.6012 15.9665 1.4356 15.9991 1.2683 15.9987Z" fill="currentColor"/>
<path d="M14.8841 15.9993C14.5468 15.9993 14.2232 15.8655 13.9845 15.6272C13.7457 15.389 13.6112 15.0657 13.6105 14.7284V4.67881L8.9888 9.45281C8.7538 9.69657 8.4315 9.83697 8.0929 9.84312C7.7544 9.84928 7.4272 9.72069 7.1835 9.48563C6.9397 9.25058 6.7993 8.92832 6.7931 8.58976C6.7901 8.42211 6.8201 8.25551 6.8814 8.09947C6.9428 7.94342 7.0342 7.80098 7.1506 7.68028L13.9703 0.661082C14.1463 0.478921 14.3728 0.35354 14.6207 0.301033C14.8685 0.248526 15.1264 0.271291 15.3612 0.366403C15.5961 0.461516 15.7971 0.624637 15.9385 0.834827C16.08 1.04502 16.1554 1.29268 16.1551 1.54603V14.7284C16.1551 15.0655 16.0212 15.3887 15.7828 15.6271C15.5444 15.8654 15.2212 15.9993 14.8841 15.9993Z" fill="currentColor"/>
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17
src/renderer/src/assets/images/providers/mimo.svg Normal file
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@ -0,0 +1,17 @@
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<g transform="translate(10, 42) scale(1.35)">
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12
src/renderer/src/components/Icons/SVGIcon.tsx
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@ -113,6 +113,18 @@ export function MdiLightbulbOn(props: SVGProps<SVGSVGElement>) {
)
}
export function MdiLightbulbQuestion(props: SVGProps<SVGSVGElement>) {
// {/* Icon from Material Design Icons by Pictogrammers - https://github.com/Templarian/MaterialDesign/blob/master/LICENSE */}
return (
<svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewBox="0 0 24 24" {...props}>
<path
fill="currentColor"
d="M8 2C11.9 2 15 5.1 15 9C15 11.4 13.8 13.5 12 14.7V17C12 17.6 11.6 18 11 18H5C4.4 18 4 17.6 4 17V14.7C2.2 13.5 1 11.4 1 9C1 5.1 4.1 2 8 2M5 21V20H11V21C11 21.6 10.6 22 10 22H6C5.4 22 5 21.6 5 21M8 4C5.2 4 3 6.2 3 9C3 11.1 4.2 12.8 6 13.6V16H10V13.6C11.8 12.8 13 11.1 13 9C13 6.2 10.8 4 8 4M20.5 14.5V16H19V14.5H20.5M18.5 9.5H17V9C17 7.3 18.3 6 20 6S23 7.3 23 9C23 10 22.5 10.9 21.7 11.4L21.4 11.6C20.8 12 20.5 12.6 20.5 13.3V13.5H19V13.3C19 12.1 19.6 11 20.6 10.4L20.9 10.2C21.3 9.9 21.5 9.5 21.5 9C21.5 8.2 20.8 7.5 20 7.5S18.5 8.2 18.5 9V9.5Z"
/>
</svg>
)
}
export function BingLogo(props: SVGProps<SVGSVGElement>) {
return (
<svg

243
src/renderer/src/config/models/__tests__/reasoning.test.ts
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@ -631,7 +631,7 @@ describe('Reasoning option configuration', () => {
it('restricts GPT-5 Pro reasoning to high effort only', () => {
expect(MODEL_SUPPORTED_REASONING_EFFORT.gpt5pro).toEqual(['high'])
expect(MODEL_SUPPORTED_OPTIONS.gpt5pro).toEqual(['high'])
expect(MODEL_SUPPORTED_OPTIONS.gpt5pro).toEqual(['default', 'high'])
})
})
@ -695,15 +695,20 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
})
describe('Gemini models', () => {
it('should return gemini for Flash models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-2.5-flash-latest' }))).toBe('gemini')
expect(getThinkModelType(createModel({ id: 'gemini-flash-latest' }))).toBe('gemini')
expect(getThinkModelType(createModel({ id: 'gemini-flash-lite-latest' }))).toBe('gemini')
it('should return gemini2_flash for Flash models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-2.5-flash-latest' }))).toBe('gemini2_flash')
})
it('should return gemini3_flash for Gemini 3 Flash models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-3-flash-preview' }))).toBe('gemini3_flash')
expect(getThinkModelType(createModel({ id: 'gemini-flash-latest' }))).toBe('gemini3_flash')
})
it('should return gemini_pro for Pro models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-2.5-pro-latest' }))).toBe('gemini_pro')
expect(getThinkModelType(createModel({ id: 'gemini-pro-latest' }))).toBe('gemini_pro')
it('should return gemini2_pro for Gemini 2.5 Pro models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-2.5-pro-latest' }))).toBe('gemini2_pro')
})
it('should return gemini3_pro for Gemini 3 Pro models', () => {
expect(getThinkModelType(createModel({ id: 'gemini-3-pro-preview' }))).toBe('gemini3_pro')
expect(getThinkModelType(createModel({ id: 'gemini-pro-latest' }))).toBe('gemini3_pro')
})
})
@ -733,6 +738,11 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
expect(getThinkModelType(createModel({ id: 'doubao-seed-1-6-lite-251015' }))).toBe('doubao_after_251015')
})
it('should return doubao_after_251015 for Doubao-Seed-1.8 models', () => {
expect(getThinkModelType(createModel({ id: 'doubao-seed-1-8-251215' }))).toBe('doubao_after_251015')
expect(getThinkModelType(createModel({ id: 'doubao-seed-1.8' }))).toBe('doubao_after_251015')
})
it('should return doubao_no_auto for other Doubao thinking models', () => {
expect(getThinkModelType(createModel({ id: 'doubao-1.5-thinking-vision-pro' }))).toBe('doubao_no_auto')
})
@ -805,7 +815,7 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
name: 'gemini-2.5-flash-latest'
})
)
).toBe('gemini')
).toBe('gemini2_flash')
})
it('should use id result when id matches', () => {
@ -830,7 +840,7 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
it('should handle case insensitivity correctly', () => {
expect(getThinkModelType(createModel({ id: 'GPT-5.1' }))).toBe('gpt5_1')
expect(getThinkModelType(createModel({ id: 'Gemini-2.5-Flash-Latest' }))).toBe('gemini')
expect(getThinkModelType(createModel({ id: 'Gemini-2.5-Flash-Latest' }))).toBe('gemini2_flash')
expect(getThinkModelType(createModel({ id: 'DeepSeek-V3.1' }))).toBe('deepseek_hybrid')
})
@ -850,7 +860,7 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
it('should handle models with version suffixes', () => {
expect(getThinkModelType(createModel({ id: 'gpt-5-preview-2024' }))).toBe('gpt5')
expect(getThinkModelType(createModel({ id: 'o3-mini-2024' }))).toBe('o')
expect(getThinkModelType(createModel({ id: 'gemini-2.5-flash-latest-001' }))).toBe('gemini')
expect(getThinkModelType(createModel({ id: 'gemini-2.5-flash-latest-001' }))).toBe('gemini2_flash')
})
it('should prioritize GPT-5.1 over GPT-5 detection', () => {
@ -863,6 +873,7 @@ describe('getThinkModelType - Comprehensive Coverage', () => {
// auto > after_251015 > no_auto
expect(getThinkModelType(createModel({ id: 'doubao-seed-1.6' }))).toBe('doubao')
expect(getThinkModelType(createModel({ id: 'doubao-seed-1-6-251015' }))).toBe('doubao_after_251015')
expect(getThinkModelType(createModel({ id: 'doubao-seed-1-8-251215' }))).toBe('doubao_after_251015')
expect(getThinkModelType(createModel({ id: 'doubao-1.5-thinking-vision-pro' }))).toBe('doubao_no_auto')
})
@ -949,6 +960,14 @@ describe('Gemini Models', () => {
group: ''
})
).toBe(true)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-flash-preview',
name: '',
provider: '',
group: ''
})
).toBe(true)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'google/gemini-3-pro-preview',
@ -990,6 +1009,31 @@ describe('Gemini Models', () => {
group: ''
})
).toBe(true)
// Version with date suffixes
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-flash-preview-09-2025',
name: '',
provider: '',
group: ''
})
).toBe(true)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-pro-preview-09-2025',
name: '',
provider: '',
group: ''
})
).toBe(true)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-flash-exp-1234',
name: '',
provider: '',
group: ''
})
).toBe(true)
// Version with decimals
expect(
isSupportedThinkingTokenGeminiModel({
@ -1009,7 +1053,8 @@ describe('Gemini Models', () => {
).toBe(true)
})
it('should return true for gemini-3 image models', () => {
it('should return true for gemini-3-pro-image models only', () => {
// Only gemini-3-pro-image models should return true
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-pro-image-preview',
@ -1018,6 +1063,17 @@ describe('Gemini Models', () => {
group: ''
})
).toBe(true)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-pro-image',
name: '',
provider: '',
group: ''
})
).toBe(true)
})
it('should return false for other gemini-3 image models', () => {
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3.0-flash-image-preview',
@ -1080,6 +1136,22 @@ describe('Gemini Models', () => {
group: ''
})
).toBe(false)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-flash-preview-tts',
name: '',
provider: '',
group: ''
})
).toBe(false)
expect(
isSupportedThinkingTokenGeminiModel({
id: 'gemini-3-pro-tts',
name: '',
provider: '',
group: ''
})
).toBe(false)
})
it('should return false for older gemini models', () => {
@ -1672,10 +1744,26 @@ describe('getModelSupportedReasoningEffortOptions', () => {
describe('OpenAI models', () => {
it('should return correct options for o-series models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o3' }))).toEqual(['low', 'medium', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o3-mini' }))).toEqual(['low', 'medium', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o4' }))).toEqual(['low', 'medium', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o3' }))).toEqual([
'default',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o3-mini' }))).toEqual([
'default',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'o4' }))).toEqual([
'default',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-oss-reasoning' }))).toEqual([
'default',
'low',
'medium',
'high'
@ -1685,17 +1773,22 @@ describe('getModelSupportedReasoningEffortOptions', () => {
it('should return correct options for deep research models', () => {
// Note: Deep research models need to be actual OpenAI reasoning models to be detected
// 'sonar-deep-research' from Perplexity is the primary deep research model
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'sonar-deep-research' }))).toEqual(['medium'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'sonar-deep-research' }))).toEqual([
'default',
'medium'
])
})
it('should return correct options for GPT-5 models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5' }))).toEqual([
'default',
'minimal',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-preview' }))).toEqual([
'default',
'minimal',
'low',
'medium',
@ -1704,17 +1797,22 @@ describe('getModelSupportedReasoningEffortOptions', () => {
})
it('should return correct options for GPT-5 Pro models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-pro' }))).toEqual(['high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-pro-preview' }))).toEqual(['high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-pro' }))).toEqual(['default', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-pro-preview' }))).toEqual([
'default',
'high'
])
})
it('should return correct options for GPT-5 Codex models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-codex' }))).toEqual([
'default',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5-codex-mini' }))).toEqual([
'default',
'low',
'medium',
'high'
@ -1723,18 +1821,21 @@ describe('getModelSupportedReasoningEffortOptions', () => {
it('should return correct options for GPT-5.1 models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5.1' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5.1-preview' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5.1-mini' }))).toEqual([
'default',
'none',
'low',
'medium',
@ -1744,11 +1845,13 @@ describe('getModelSupportedReasoningEffortOptions', () => {
it('should return correct options for GPT-5.1 Codex models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5.1-codex' }))).toEqual([
'default',
'none',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gpt-5.1-codex-mini' }))).toEqual([
'default',
'none',
'medium',
'high'
@ -1758,58 +1861,77 @@ describe('getModelSupportedReasoningEffortOptions', () => {
describe('Grok models', () => {
it('should return correct options for Grok 3 mini', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'grok-3-mini' }))).toEqual(['low', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'grok-3-mini' }))).toEqual([
'default',
'low',
'high'
])
})
it('should return correct options for Grok 4 Fast', () => {
expect(
getModelSupportedReasoningEffortOptions(createModel({ id: 'grok-4-fast', provider: 'openrouter' }))
).toEqual(['none', 'auto'])
).toEqual(['default', 'none', 'auto'])
})
})
describe('Gemini models', () => {
it('should return correct options for Gemini Flash models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-2.5-flash-latest' }))).toEqual([
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-2.5-flash' }))).toEqual([
'default',
'none',
'low',
'medium',
'high',
'auto'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-flash-latest' }))).toEqual([
'none',
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-3-flash-preview' }))).toEqual([
'default',
'minimal',
'low',
'medium',
'high',
'auto'
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-flash-latest' }))).toEqual([
'default',
'minimal',
'low',
'medium',
'high'
])
})
it('should return correct options for Gemini Pro models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-2.5-pro-latest' }))).toEqual([
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-2.5-pro' }))).toEqual([
'default',
'low',
'medium',
'high',
'auto'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-pro-latest' }))).toEqual([
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-3-pro-preview' }))).toEqual([
'default',
'low',
'medium',
'high',
'auto'
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-pro-latest' }))).toEqual([
'default',
'low',
'high'
])
})
it('should return correct options for Gemini 3 models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-3-flash' }))).toEqual([
'default',
'minimal',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'gemini-3-pro-preview' }))).toEqual([
'default',
'low',
'medium',
'high'
])
})
@ -1818,24 +1940,28 @@ describe('getModelSupportedReasoningEffortOptions', () => {
describe('Qwen models', () => {
it('should return correct options for controllable Qwen models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'qwen-plus' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'qwen-turbo' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'qwen-flash' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'qwen3-8b' }))).toEqual([
'default',
'none',
'low',
'medium',
@ -1853,11 +1979,13 @@ describe('getModelSupportedReasoningEffortOptions', () => {
describe('Doubao models', () => {
it('should return correct options for auto-thinking Doubao models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'doubao-seed-1.6' }))).toEqual([
'default',
'none',
'auto',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'doubao-1-5-thinking-pro-m' }))).toEqual([
'default',
'none',
'auto',
'high'
@ -1866,12 +1994,14 @@ describe('getModelSupportedReasoningEffortOptions', () => {
it('should return correct options for Doubao models after 251015', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'doubao-seed-1-6-251015' }))).toEqual([
'default',
'minimal',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'doubao-seed-1-6-lite-251015' }))).toEqual([
'default',
'minimal',
'low',
'medium',
@ -1881,6 +2011,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
it('should return correct options for other Doubao thinking models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'doubao-1.5-thinking-vision-pro' }))).toEqual([
'default',
'none',
'high'
])
@ -1889,28 +2020,43 @@ describe('getModelSupportedReasoningEffortOptions', () => {
describe('Other providers', () => {
it('should return correct options for Hunyuan models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'hunyuan-a13b' }))).toEqual(['none', 'auto'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'hunyuan-a13b' }))).toEqual([
'default',
'none',
'auto'
])
})
it('should return correct options for Zhipu models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'glm-4.5' }))).toEqual(['none', 'auto'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'glm-4.6' }))).toEqual(['none', 'auto'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'glm-4.5' }))).toEqual([
'default',
'none',
'auto'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'glm-4.6' }))).toEqual([
'default',
'none',
'auto'
])
})
it('should return correct options for Perplexity models', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'sonar-deep-research' }))).toEqual(['medium'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'sonar-deep-research' }))).toEqual([
'default',
'medium'
])
})
it('should return correct options for DeepSeek hybrid models', () => {
expect(
getModelSupportedReasoningEffortOptions(createModel({ id: 'deepseek-v3.1', provider: 'deepseek' }))
).toEqual(['none', 'auto'])
).toEqual(['default', 'none', 'auto'])
expect(
getModelSupportedReasoningEffortOptions(createModel({ id: 'deepseek-v3.2', provider: 'openrouter' }))
).toEqual(['none', 'auto'])
).toEqual(['default', 'none', 'auto'])
expect(
getModelSupportedReasoningEffortOptions(createModel({ id: 'deepseek-chat', provider: 'deepseek' }))
).toEqual(['none', 'auto'])
).toEqual(['default', 'none', 'auto'])
})
})
@ -1925,7 +2071,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
provider: 'openrouter'
})
)
).toEqual(['none', 'auto'])
).toEqual(['default', 'none', 'auto'])
expect(
getModelSupportedReasoningEffortOptions(
@ -1934,7 +2080,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
name: 'gpt-5.1'
})
)
).toEqual(['none', 'low', 'medium', 'high'])
).toEqual(['default', 'none', 'low', 'medium', 'high'])
// Qwen models work well for name-based fallback
expect(
@ -1944,7 +2090,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
name: 'qwen-plus'
})
)
).toEqual(['none', 'low', 'medium', 'high'])
).toEqual(['default', 'none', 'low', 'medium', 'high'])
})
it('should use id result when id matches', () => {
@ -1955,7 +2101,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
name: 'Different Name'
})
)
).toEqual(['none', 'low', 'medium', 'high'])
).toEqual(['default', 'none', 'low', 'medium', 'high'])
expect(
getModelSupportedReasoningEffortOptions(
@ -1964,20 +2110,27 @@ describe('getModelSupportedReasoningEffortOptions', () => {
name: 'Some other name'
})
)
).toEqual(['low', 'medium', 'high'])
).toEqual(['default', 'low', 'medium', 'high'])
})
})
describe('Case sensitivity', () => {
it('should handle case insensitive model IDs', () => {
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'GPT-5.1' }))).toEqual([
'default',
'none',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'O3-MINI' }))).toEqual(['low', 'medium', 'high'])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'O3-MINI' }))).toEqual([
'default',
'low',
'medium',
'high'
])
expect(getModelSupportedReasoningEffortOptions(createModel({ id: 'Gemini-2.5-Flash-Latest' }))).toEqual([
'default',
'none',
'low',
'medium',
@ -2000,7 +2153,7 @@ describe('getModelSupportedReasoningEffortOptions', () => {
const geminiModel = createModel({ id: 'gemini-2.5-flash-latest' })
const geminiResult = getModelSupportedReasoningEffortOptions(geminiModel)
expect(geminiResult).toEqual(MODEL_SUPPORTED_OPTIONS.gemini)
expect(geminiResult).toEqual(MODEL_SUPPORTED_OPTIONS.gemini2_flash)
})
})
})

97
src/renderer/src/config/models/__tests__/utils.test.ts
View File

@ -20,6 +20,8 @@ import {
getModelSupportedVerbosity,
groupQwenModels,
isAnthropicModel,
isGemini3FlashModel,
isGemini3ProModel,
isGeminiModel,
isGemmaModel,
isGenerateImageModels,
@ -432,6 +434,101 @@ describe('model utils', () => {
})
})
describe('isGemini3FlashModel', () => {
it('detects gemini-3-flash model', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash' }))).toBe(true)
})
it('detects gemini-3-flash-preview model', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-preview' }))).toBe(true)
})
it('detects gemini-3-flash with version suffixes', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-latest' }))).toBe(true)
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-preview-09-2025' }))).toBe(true)
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-exp-1234' }))).toBe(true)
})
it('detects gemini-flash-latest alias', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-flash-latest' }))).toBe(true)
expect(isGemini3FlashModel(createModel({ id: 'Gemini-Flash-Latest' }))).toBe(true)
})
it('detects gemini-3-flash with uppercase', () => {
expect(isGemini3FlashModel(createModel({ id: 'Gemini-3-Flash' }))).toBe(true)
expect(isGemini3FlashModel(createModel({ id: 'GEMINI-3-FLASH-PREVIEW' }))).toBe(true)
})
it('excludes gemini-3-flash-image models', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-image-preview' }))).toBe(false)
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-flash-image' }))).toBe(false)
})
it('returns false for non-flash gemini-3 models', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-pro' }))).toBe(false)
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-pro-preview' }))).toBe(false)
expect(isGemini3FlashModel(createModel({ id: 'gemini-3-pro-image-preview' }))).toBe(false)
})
it('returns false for other gemini models', () => {
expect(isGemini3FlashModel(createModel({ id: 'gemini-2-flash' }))).toBe(false)
expect(isGemini3FlashModel(createModel({ id: 'gemini-2-flash-preview' }))).toBe(false)
expect(isGemini3FlashModel(createModel({ id: 'gemini-2.5-flash-preview-09-2025' }))).toBe(false)
})
it('returns false for null/undefined models', () => {
expect(isGemini3FlashModel(null)).toBe(false)
expect(isGemini3FlashModel(undefined)).toBe(false)
})
})
describe('isGemini3ProModel', () => {
it('detects gemini-3-pro model', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro' }))).toBe(true)
})
it('detects gemini-3-pro-preview model', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-preview' }))).toBe(true)
})
it('detects gemini-3-pro with version suffixes', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-latest' }))).toBe(true)
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-preview-09-2025' }))).toBe(true)
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-exp-1234' }))).toBe(true)
})
it('detects gemini-pro-latest alias', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-pro-latest' }))).toBe(true)
expect(isGemini3ProModel(createModel({ id: 'Gemini-Pro-Latest' }))).toBe(true)
})
it('detects gemini-3-pro with uppercase', () => {
expect(isGemini3ProModel(createModel({ id: 'Gemini-3-Pro' }))).toBe(true)
expect(isGemini3ProModel(createModel({ id: 'GEMINI-3-PRO-PREVIEW' }))).toBe(true)
})
it('excludes gemini-3-pro-image models', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-image-preview' }))).toBe(false)
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-image' }))).toBe(false)
expect(isGemini3ProModel(createModel({ id: 'gemini-3-pro-image-latest' }))).toBe(false)
})
it('returns false for non-pro gemini-3 models', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-3-flash' }))).toBe(false)
expect(isGemini3ProModel(createModel({ id: 'gemini-3-flash-preview' }))).toBe(false)
})
it('returns false for other gemini models', () => {
expect(isGemini3ProModel(createModel({ id: 'gemini-2-pro' }))).toBe(false)
expect(isGemini3ProModel(createModel({ id: 'gemini-2.5-pro-preview-09-2025' }))).toBe(false)
})
it('returns false for null/undefined models', () => {
expect(isGemini3ProModel(null)).toBe(false)
expect(isGemini3ProModel(undefined)).toBe(false)
})
})
describe('isZhipuModel', () => {
it('detects Zhipu models by provider', () => {
expect(isZhipuModel(createModel({ provider: 'zhipu' }))).toBe(true)

14
src/renderer/src/config/models/default.ts
View File

@ -746,6 +746,12 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
}
],
doubao: [
{
id: 'doubao-seed-1-8-251215',
provider: 'doubao',
name: 'Doubao-Seed-1.8',
group: 'Doubao-Seed-1.8'
},
{
id: 'doubao-1-5-vision-pro-32k-250115',
provider: 'doubao',
@ -1785,5 +1791,13 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
provider: 'cerebras',
group: 'qwen'
}
],
mimo: [
{
id: 'mimo-v2-flash',
name: 'Mimo V2 Flash',
provider: 'mimo',
group: 'Mimo'
}
]
}

4
src/renderer/src/config/models/logo.ts
View File

@ -103,6 +103,7 @@ import MicrosoftModelLogo from '@renderer/assets/images/models/microsoft.png'
import MicrosoftModelLogoDark from '@renderer/assets/images/models/microsoft_dark.png'
import MidjourneyModelLogo from '@renderer/assets/images/models/midjourney.png'
import MidjourneyModelLogoDark from '@renderer/assets/images/models/midjourney_dark.png'
import MiMoModelLogo from '@renderer/assets/images/models/mimo.svg'
import {
default as MinicpmModelLogo,
default as MinicpmModelLogoDark
@ -301,7 +302,8 @@ export function getModelLogoById(modelId: string): string | undefined {
bytedance: BytedanceModelLogo,
ling: LingModelLogo,
ring: LingModelLogo,
'(V_1|V_1_TURBO|V_2|V_2A|V_2_TURBO|DESCRIBE|UPSCALE)': IdeogramModelLogo
'(V_1|V_1_TURBO|V_2|V_2A|V_2_TURBO|DESCRIBE|UPSCALE)': IdeogramModelLogo,
mimo: MiMoModelLogo
} as const satisfies Record<string, string>
for (const key in logoMap) {

140
src/renderer/src/config/models/reasoning.ts
View File

@ -20,7 +20,7 @@ import {
isOpenAIReasoningModel,
isSupportedReasoningEffortOpenAIModel
} from './openai'
import { GEMINI_FLASH_MODEL_REGEX, isGemini3ThinkingTokenModel } from './utils'
import { GEMINI_FLASH_MODEL_REGEX, isGemini3FlashModel, isGemini3ProModel } from './utils'
import { isTextToImageModel } from './vision'
// Reasoning models
@ -43,15 +43,17 @@ export const MODEL_SUPPORTED_REASONING_EFFORT = {
gpt52pro: ['medium', 'high', 'xhigh'] as const,
grok: ['low', 'high'] as const,
grok4_fast: ['auto'] as const,
gemini: ['low', 'medium', 'high', 'auto'] as const,
gemini3: ['low', 'medium', 'high'] as const,
gemini_pro: ['low', 'medium', 'high', 'auto'] as const,
gemini2_flash: ['low', 'medium', 'high', 'auto'] as const,
gemini2_pro: ['low', 'medium', 'high', 'auto'] as const,
gemini3_flash: ['minimal', 'low', 'medium', 'high'] as const,
gemini3_pro: ['low', 'high'] as const,
qwen: ['low', 'medium', 'high'] as const,
qwen_thinking: ['low', 'medium', 'high'] as const,
doubao: ['auto', 'high'] as const,
doubao_no_auto: ['high'] as const,
doubao_after_251015: ['minimal', 'low', 'medium', 'high'] as const,
hunyuan: ['auto'] as const,
mimo: ['auto'] as const,
zhipu: ['auto'] as const,
perplexity: ['low', 'medium', 'high'] as const,
deepseek_hybrid: ['auto'] as const
@ -59,31 +61,33 @@ export const MODEL_SUPPORTED_REASONING_EFFORT = {
// 模型类型到支持选项的映射表
export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
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,
gpt5_2: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_2,
gpt5_1_codex_max: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1_codex_max,
gpt52pro: MODEL_SUPPORTED_REASONING_EFFORT.gpt52pro,
grok: MODEL_SUPPORTED_REASONING_EFFORT.grok,
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,
gemini3: MODEL_SUPPORTED_REASONING_EFFORT.gemini3,
qwen: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen] as const,
qwen_thinking: MODEL_SUPPORTED_REASONING_EFFORT.qwen_thinking,
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: ['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: ['none', ...MODEL_SUPPORTED_REASONING_EFFORT.deepseek_hybrid] as const
default: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.default] as const,
o: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.o] as const,
openai_deep_research: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.openai_deep_research] as const,
gpt5: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5] as const,
gpt5pro: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5pro] as const,
gpt5_codex: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5_codex] as const,
gpt5_1: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1] as const,
gpt5_1_codex: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1_codex] as const,
gpt5_2: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5_2] as const,
gpt5_1_codex_max: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt5_1_codex_max] as const,
gpt52pro: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gpt52pro] as const,
grok: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.grok] as const,
grok4_fast: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.grok4_fast] as const,
gemini2_flash: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini2_flash] as const,
gemini2_pro: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini2_pro] as const,
gemini3_flash: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini3_flash] as const,
gemini3_pro: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini3_pro] as const,
qwen: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen] as const,
qwen_thinking: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen_thinking] as const,
doubao: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao] as const,
doubao_no_auto: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao_no_auto] as const,
doubao_after_251015: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.doubao_after_251015] as const,
mimo: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.mimo] as const,
hunyuan: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.hunyuan] as const,
zhipu: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.zhipu] as const,
perplexity: ['default', ...MODEL_SUPPORTED_REASONING_EFFORT.perplexity] as const,
deepseek_hybrid: ['default', 'none', ...MODEL_SUPPORTED_REASONING_EFFORT.deepseek_hybrid] as const
} as const
const withModelIdAndNameAsId = <T>(model: Model, fn: (model: Model) => T): { idResult: T; nameResult: T } => {
@ -100,8 +104,7 @@ const _getThinkModelType = (model: Model): ThinkingModelType => {
const modelId = getLowerBaseModelName(model.id)
if (isOpenAIDeepResearchModel(model)) {
return 'openai_deep_research'
}
if (isGPT51SeriesModel(model)) {
} else if (isGPT51SeriesModel(model)) {
if (modelId.includes('codex')) {
thinkingModelType = 'gpt5_1_codex'
if (isGPT51CodexMaxModel(model)) {
@ -129,16 +132,18 @@ const _getThinkModelType = (model: Model): ThinkingModelType => {
} else if (isGrok4FastReasoningModel(model)) {
thinkingModelType = 'grok4_fast'
} else if (isSupportedThinkingTokenGeminiModel(model)) {
if (GEMINI_FLASH_MODEL_REGEX.test(model.id)) {
thinkingModelType = 'gemini'
if (isGemini3FlashModel(model)) {
thinkingModelType = 'gemini3_flash'
} else if (isGemini3ProModel(model)) {
thinkingModelType = 'gemini3_pro'
} else if (GEMINI_FLASH_MODEL_REGEX.test(model.id)) {
thinkingModelType = 'gemini2_flash'
} else {
thinkingModelType = 'gemini_pro'
thinkingModelType = 'gemini2_pro'
}
if (isGemini3ThinkingTokenModel(model)) {
thinkingModelType = 'gemini3'
}
} else if (isSupportedReasoningEffortGrokModel(model)) thinkingModelType = 'grok'
else if (isSupportedThinkingTokenQwenModel(model)) {
} else if (isSupportedReasoningEffortGrokModel(model)) {
thinkingModelType = 'grok'
} else if (isSupportedThinkingTokenQwenModel(model)) {
if (isQwenAlwaysThinkModel(model)) {
thinkingModelType = 'qwen_thinking'
}
@ -146,15 +151,22 @@ const _getThinkModelType = (model: Model): ThinkingModelType => {
} else if (isSupportedThinkingTokenDoubaoModel(model)) {
if (isDoubaoThinkingAutoModel(model)) {
thinkingModelType = 'doubao'
} else if (isDoubaoSeedAfter251015(model)) {
} else if (isDoubaoSeedAfter251015(model) || isDoubaoSeed18Model(model)) {
thinkingModelType = 'doubao_after_251015'
} else {
thinkingModelType = 'doubao_no_auto'
}
} else if (isSupportedThinkingTokenHunyuanModel(model)) thinkingModelType = 'hunyuan'
else if (isSupportedReasoningEffortPerplexityModel(model)) thinkingModelType = 'perplexity'
else if (isSupportedThinkingTokenZhipuModel(model)) thinkingModelType = 'zhipu'
else if (isDeepSeekHybridInferenceModel(model)) thinkingModelType = 'deepseek_hybrid'
} else if (isSupportedThinkingTokenHunyuanModel(model)) {
thinkingModelType = 'hunyuan'
} else if (isSupportedReasoningEffortPerplexityModel(model)) {
thinkingModelType = 'perplexity'
} else if (isSupportedThinkingTokenZhipuModel(model)) {
thinkingModelType = 'zhipu'
} else if (isDeepSeekHybridInferenceModel(model)) {
thinkingModelType = 'deepseek_hybrid'
} else if (isSupportedThinkingTokenMiMoModel(model)) {
thinkingModelType = 'mimo'
}
return thinkingModelType
}
@ -191,20 +203,28 @@ const _getModelSupportedReasoningEffortOptions = (model: Model): ReasoningEffort
* - The model is null/undefined
* - The model doesn't support reasoning effort or thinking tokens
*
* All reasoning models support the 'default' option (always the first element),
* which represents no additional configuration for thinking behavior.
*
* @example
* // OpenAI o-series models support low, medium, high
* // OpenAI o-series models support default, low, medium, high
* getModelSupportedReasoningEffortOptions({ id: 'o3-mini', ... })
* // Returns: ['low', 'medium', 'high']
* // Returns: ['default', 'low', 'medium', 'high']
* // 'default' = no additional configuration for thinking behavior
*
* @example
* // GPT-5.1 models support none, low, medium, high
* // GPT-5.1 models support default, none, low, medium, high
* getModelSupportedReasoningEffortOptions({ id: 'gpt-5.1', ... })
* // Returns: ['none', 'low', 'medium', 'high']
* // Returns: ['default', 'none', 'low', 'medium', 'high']
* // 'default' = no additional configuration
* // 'none' = explicitly disable reasoning
*
* @example
* // Gemini Flash models support none, low, medium, high, auto
* // Gemini Flash models support default, none, low, medium, high, auto
* getModelSupportedReasoningEffortOptions({ id: 'gemini-2.5-flash-latest', ... })
* // Returns: ['none', 'low', 'medium', 'high', 'auto']
* // Returns: ['default', 'none', 'low', 'medium', 'high', 'auto']
* // 'default' = no additional configuration
* // 'auto' = let the model automatically decide
*
* @example
* // Non-reasoning models return undefined
@ -214,7 +234,7 @@ const _getModelSupportedReasoningEffortOptions = (model: Model): ReasoningEffort
* @example
* // Name fallback when id doesn't match
* getModelSupportedReasoningEffortOptions({ id: 'custom-id', name: 'gpt-5.1', ... })
* // Returns: ['none', 'low', 'medium', 'high']
* // Returns: ['default', 'none', 'low', 'medium', 'high']
*/
export const getModelSupportedReasoningEffortOptions = (
model: Model | undefined | null
@ -255,7 +275,8 @@ function _isSupportedThinkingTokenModel(model: Model): boolean {
isSupportedThinkingTokenClaudeModel(model) ||
isSupportedThinkingTokenDoubaoModel(model) ||
isSupportedThinkingTokenHunyuanModel(model) ||
isSupportedThinkingTokenZhipuModel(model)
isSupportedThinkingTokenZhipuModel(model) ||
isSupportedThinkingTokenMiMoModel(model)
)
}
@ -449,7 +470,7 @@ export function isQwenAlwaysThinkModel(model?: Model): boolean {
// Doubao 支持思考模式的模型正则
export const DOUBAO_THINKING_MODEL_REGEX =
/doubao-(?:1[.-]5-thinking-vision-pro|1[.-]5-thinking-pro-m|seed-1[.-]6(?:-flash)?(?!-(?:thinking)(?:-|$))|seed-code(?:-preview)?(?:-\d+)?)(?:-[\w-]+)*/i
/doubao-(?:1[.-]5-thinking-vision-pro|1[.-]5-thinking-pro-m|seed-1[.-][68](?:-flash)?(?!-(?:thinking)(?:-|$))|seed-code(?:-preview)?(?:-\d+)?)(?:-[\w-]+)*/i
// 支持 auto 的 Doubao 模型 doubao-seed-1.6-xxx doubao-seed-1-6-xxx doubao-1-5-thinking-pro-m-xxx
// Auto thinking is no longer supported after version 251015, see https://console.volcengine.com/ark/region:ark+cn-beijing/model/detail?Id=doubao-seed-1-6
@ -467,6 +488,11 @@ export function isDoubaoSeedAfter251015(model: Model): boolean {
return result
}
export function isDoubaoSeed18Model(model: Model): boolean {
const pattern = /doubao-seed-1[.-]8(?:-[\w-]+)?/i
return pattern.test(model.id) || pattern.test(model.name)
}
export function isSupportedThinkingTokenDoubaoModel(model?: Model): boolean {
if (!model) {
return false
@ -548,6 +574,11 @@ export const isSupportedThinkingTokenZhipuModel = (model: Model): boolean => {
return ['glm-4.5', 'glm-4.6'].some((id) => modelId.includes(id))
}
export const isSupportedThinkingTokenMiMoModel = (model: Model): boolean => {
const modelId = getLowerBaseModelName(model.id, '/')
return ['mimo-v2-flash'].some((id) => modelId.includes(id))
}
export const isDeepSeekHybridInferenceModel = (model: Model) => {
const { idResult, nameResult } = withModelIdAndNameAsId(model, (model) => {
const modelId = getLowerBaseModelName(model.id)
@ -586,6 +617,8 @@ export const isZhipuReasoningModel = (model?: Model): boolean => {
return isSupportedThinkingTokenZhipuModel(model) || modelId.includes('glm-z1')
}
export const isMiMoReasoningModel = isSupportedThinkingTokenMiMoModel
export const isStepReasoningModel = (model?: Model): boolean => {
if (!model) {
return false
@ -636,6 +669,7 @@ export function isReasoningModel(model?: Model): boolean {
isDeepSeekHybridInferenceModel(model) ||
isLingReasoningModel(model) ||
isMiniMaxReasoningModel(model) ||
isMiMoReasoningModel(model) ||
modelId.includes('magistral') ||
modelId.includes('pangu-pro-moe') ||
modelId.includes('seed-oss') ||

5
src/renderer/src/config/models/tooluse.ts
View File

@ -25,12 +25,13 @@ export const FUNCTION_CALLING_MODELS = [
'learnlm(?:-[\\w-]+)?',
'gemini(?:-[\\w-]+)?', // 提前排除了gemini的嵌入模型
'grok-3(?:-[\\w-]+)?',
'doubao-seed-1[.-]6(?:-[\\w-]+)?',
'doubao-seed-1[.-][68](?:-[\\w-]+)?',
'doubao-seed-code(?:-[\\w-]+)?',
'kimi-k2(?:-[\\w-]+)?',
'ling-\\w+(?:-[\\w-]+)?',
'ring-\\w+(?:-[\\w-]+)?',
'minimax-m2'
'minimax-m2',
'mimo-v2-flash'
] as const
const FUNCTION_CALLING_EXCLUDED_MODELS = [

40
src/renderer/src/config/models/utils.ts
View File

@ -267,3 +267,43 @@ export const isGemini3ThinkingTokenModel = (model: Model) => {
const modelId = getLowerBaseModelName(model.id)
return isGemini3Model(model) && !modelId.includes('image')
}
/**
* Check if the model is a Gemini 3 Flash model
* Matches: gemini-3-flash, gemini-3-flash-preview, gemini-3-flash-preview-09-2025, gemini-flash-latest (alias)
* Excludes: gemini-3-flash-image-preview
* @param model - The model to check
* @returns true if the model is a Gemini 3 Flash model
*/
export const isGemini3FlashModel = (model: Model | undefined | null): boolean => {
if (!model) {
return false
}
const modelId = getLowerBaseModelName(model.id)
// Check for gemini-flash-latest alias (currently points to gemini-3-flash, may change in future)
if (modelId === 'gemini-flash-latest') {
return true
}
// Check for gemini-3-flash with optional suffixes, excluding image variants
return /gemini-3-flash(?!-image)(?:-[\w-]+)*$/i.test(modelId)
}
/**
* Check if the model is a Gemini 3 Pro model
* Matches: gemini-3-pro, gemini-3-pro-preview, gemini-3-pro-preview-09-2025, gemini-pro-latest (alias)
* Excludes: gemini-3-pro-image-preview
* @param model - The model to check
* @returns true if the model is a Gemini 3 Pro model
*/
export const isGemini3ProModel = (model: Model | undefined | null): boolean => {
if (!model) {
return false
}
const modelId = getLowerBaseModelName(model.id)
// Check for gemini-pro-latest alias (currently points to gemini-3-pro, may change in future)
if (modelId === 'gemini-pro-latest') {
return true
}
// Check for gemini-3-pro with optional suffixes, excluding image variants
return /gemini-3-pro(?!-image)(?:-[\w-]+)*$/i.test(modelId)
}

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

@ -45,7 +45,7 @@ const visionAllowedModels = [
'deepseek-vl(?:[\\w-]+)?',
'kimi-latest',
'gemma-3(?:-[\\w-]+)',
'doubao-seed-1[.-]6(?:-[\\w-]+)?',
'doubao-seed-1[.-][68](?:-[\\w-]+)?',
'doubao-seed-code(?:-[\\w-]+)?',
'kimi-thinking-preview',
`gemma3(?:[-:\\w]+)?`,

26
src/renderer/src/config/providers.ts
View File

@ -31,6 +31,7 @@ import JinaProviderLogo from '@renderer/assets/images/providers/jina.png'
import LanyunProviderLogo from '@renderer/assets/images/providers/lanyun.png'
import LMStudioProviderLogo from '@renderer/assets/images/providers/lmstudio.png'
import LongCatProviderLogo from '@renderer/assets/images/providers/longcat.png'
import MiMoProviderLogo from '@renderer/assets/images/providers/mimo.svg'
import MinimaxProviderLogo from '@renderer/assets/images/providers/minimax.png'
import MistralProviderLogo from '@renderer/assets/images/providers/mistral.png'
import ModelScopeProviderLogo from '@renderer/assets/images/providers/modelscope.png'
@ -695,6 +696,17 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
models: SYSTEM_MODELS.cerebras,
isSystem: true,
enabled: false
},
mimo: {
id: 'mimo',
name: 'Xiaomi MiMo',
type: 'openai',
apiKey: '',
apiHost: 'https://api.xiaomimimo.com',
anthropicApiHost: 'https://api.xiaomimimo.com/anthropic',
models: SYSTEM_MODELS.mimo,
isSystem: true,
enabled: false
}
} as const
@ -763,7 +775,8 @@ export const PROVIDER_LOGO_MAP: AtLeast<SystemProviderId, string> = {
huggingface: HuggingfaceProviderLogo,
sophnet: SophnetProviderLogo,
gateway: AIGatewayProviderLogo,
cerebras: CerebrasProviderLogo
cerebras: CerebrasProviderLogo,
mimo: MiMoProviderLogo
} as const
export function getProviderLogo(providerId: string) {
@ -1434,5 +1447,16 @@ export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
docs: 'https://inference-docs.cerebras.ai/introduction',
models: 'https://inference-docs.cerebras.ai/models/overview'
}
},
mimo: {
api: {
url: 'https://api.xiaomimimo.com'
},
websites: {
official: 'https://platform.xiaomimimo.com/',
apiKey: 'https://platform.xiaomimimo.com/#/console/usage',
docs: 'https://platform.xiaomimimo.com/#/docs/welcome',
models: 'https://platform.xiaomimimo.com/'
}
}
}

22
src/renderer/src/i18n/label.ts
View File

@ -5,7 +5,7 @@
*/
import { loggerService } from '@logger'
import type { AgentType, BuiltinMCPServerName, BuiltinOcrProviderId, ThinkingOption } from '@renderer/types'
import type { AgentType, BuiltinMCPServerName, BuiltinOcrProviderId } from '@renderer/types'
import { BuiltinMCPServerNames } from '@renderer/types'
import i18n from './index'
@ -88,7 +88,8 @@ const providerKeyMap = {
huggingface: 'provider.huggingface',
sophnet: 'provider.sophnet',
gateway: 'provider.ai-gateway',
cerebras: 'provider.cerebras'
cerebras: 'provider.cerebras',
mimo: 'provider.mimo'
} as const
/**
@ -310,20 +311,6 @@ export const getHttpMessageLabel = (key: string): string => {
return getLabel(httpMessageKeyMap, key)
}
const reasoningEffortOptionsKeyMap: Record<ThinkingOption, string> = {
none: 'assistants.settings.reasoning_effort.off',
minimal: 'assistants.settings.reasoning_effort.minimal',
high: 'assistants.settings.reasoning_effort.high',
low: 'assistants.settings.reasoning_effort.low',
medium: 'assistants.settings.reasoning_effort.medium',
auto: 'assistants.settings.reasoning_effort.default',
xhigh: 'assistants.settings.reasoning_effort.xhigh'
} as const
export const getReasoningEffortOptionsLabel = (key: string): string => {
return getLabel(reasoningEffortOptionsKeyMap, key)
}
const fileFieldKeyMap = {
created_at: 'files.created_at',
size: 'files.size',
@ -344,7 +331,8 @@ const builtInMcpDescriptionKeyMap: Record<BuiltinMCPServerName, string> = {
[BuiltinMCPServerNames.difyKnowledge]: 'settings.mcp.builtinServersDescriptions.dify_knowledge',
[BuiltinMCPServerNames.python]: 'settings.mcp.builtinServersDescriptions.python',
[BuiltinMCPServerNames.didiMCP]: 'settings.mcp.builtinServersDescriptions.didi_mcp',
[BuiltinMCPServerNames.browser]: 'settings.mcp.builtinServersDescriptions.browser'
[BuiltinMCPServerNames.browser]: 'settings.mcp.builtinServersDescriptions.browser',
[BuiltinMCPServerNames.nowledgeMem]: 'settings.mcp.builtinServersDescriptions.nowledge_mem'
} as const
export const getBuiltInMcpServerDescriptionLabel = (key: string): string => {

13
src/renderer/src/i18n/locales/en-us.json
View File

@ -548,14 +548,23 @@
"more": "Assistant Settings",
"prompt": "Prompt Settings",
"reasoning_effort": {
"auto": "Auto",
"auto_description": "Flexibly determine reasoning effort",
"default": "Default",
"default_description": "Depend on the model's default behavior, without any configuration.",
"high": "High",
"high_description": "High level reasoning",
"label": "Reasoning effort",
"low": "Low",
"low_description": "Low level reasoning",
"medium": "Medium",
"medium_description": "Medium level reasoning",
"minimal": "Minimal",
"minimal_description": "Minimal reasoning",
"off": "Off",
"xhigh": "Extra High"
"off_description": "Disable reasoning",
"xhigh": "Extra High",
"xhigh_description": "Extra high level reasoning"
},
"regular_phrases": {
"add": "Add Phrase",
@ -2634,6 +2643,7 @@
"lanyun": "LANYUN",
"lmstudio": "LM Studio",
"longcat": "LongCat AI",
"mimo": "Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Automatically install MCP service (beta)",
"memory": "Persistent memory implementation based on a local knowledge graph. This enables the model to remember user-related information across different conversations. Requires configuring the MEMORY_FILE_PATH environment variable.",
"no": "No description",
"nowledge_mem": "Requires Nowledge Mem app running locally. Keeps AI chats, tools, notes, agents, and files in private memory on your computer. Download from https://mem.nowledge.co/",
"python": "Execute Python code in a secure sandbox environment. Run Python with Pyodide, supporting most standard libraries and scientific computing packages",
"sequentialthinking": "A MCP server implementation that provides tools for dynamic and reflective problem solving through structured thinking processes"
},

13
src/renderer/src/i18n/locales/zh-cn.json
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@ -548,14 +548,23 @@
"more": "助手设置",
"prompt": "提示词设置",
"reasoning_effort": {
"auto": "自动",
"auto_description": "灵活决定推理力度",
"default": "默认",
"default_description": "依赖模型默认行为，不作任何配置",
"high": "沉思",
"high_description": "高强度推理",
"label": "思维链长度",
"low": "浮想",
"low_description": "低强度推理",
"medium": "斟酌",
"medium_description": "中强度推理",
"minimal": "微念",
"minimal_description": "最小程度的推理",
"off": "关闭",
"xhigh": "穷究"
"off_description": "禁用推理",
"xhigh": "穷究",
"xhigh_description": "超高强度推理"
},
"regular_phrases": {
"add": "添加短语",
@ -2634,6 +2643,7 @@
"lanyun": "蓝耘科技",
"lmstudio": "LM Studio",
"longcat": "龙猫",
"mimo": "Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope 魔搭",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "自动安装 MCP 服务（测试版）",
"memory": "基于本地知识图谱的持久性记忆基础实现。这使得模型能够在不同对话间记住用户的相关信息。需要配置 MEMORY_FILE_PATH 环境变量。",
"no": "无描述",
"nowledge_mem": "需要本地运行 Nowledge Mem 应用。将 AI 对话、工具、笔记、智能体和文件保存在本地计算机的私有记忆中。请从 https://mem.nowledge.co/ 下载",
"python": "在安全的沙盒环境中执行 Python 代码。使用 Pyodide 运行 Python，支持大多数标准库和科学计算包",
"sequentialthinking": "一个 MCP 服务器实现，提供了通过结构化思维过程进行动态和反思性问题解决的工具"
},

13
src/renderer/src/i18n/locales/zh-tw.json
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@ -548,14 +548,23 @@
"more": "助手設定",
"prompt": "提示詞設定",
"reasoning_effort": {
"auto": "自動",
"auto_description": "彈性決定推理投入的心力",
"default": "預設",
"default_description": "依賴模型的預設行為，無需任何配置。",
"high": "盡力思考",
"high_description": "高級推理",
"label": "思維鏈長度",
"low": "稍微思考",
"low_description": "低階推理",
"medium": "正常思考",
"medium_description": "中等程度推理",
"minimal": "最少思考",
"minimal_description": "最少推理",
"off": "關閉",
"xhigh": "極力思考"
"off_description": "禁用推理",
"xhigh": "極力思考",
"xhigh_description": "超高階推理"
},
"regular_phrases": {
"add": "新增短語",
@ -2634,6 +2643,7 @@
"lanyun": "藍耘",
"lmstudio": "LM Studio",
"longcat": "龍貓",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope 魔搭",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "自動安裝 MCP 服務（測試版）",
"memory": "基於本機知識圖譜的持久性記憶基礎實做。這使得模型能夠在不同對話間記住使用者的相關資訊。需要設定 MEMORY_FILE_PATH 環境變數。",
"no": "無描述",
"nowledge_mem": "需要本機執行 Nowledge Mem 應用程式。將 AI 對話、工具、筆記、代理和檔案保存在電腦上的私人記憶體中。請從 https://mem.nowledge.co/ 下載",
"python": "在安全的沙盒環境中執行 Python 程式碼。使用 Pyodide 執行 Python，支援大多數標準函式庫和科學計算套件",
"sequentialthinking": "一個 MCP 伺服器實做，提供了透過結構化思維過程進行動態和反思性問題解決的工具"
},

13
src/renderer/src/i18n/translate/de-de.json
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@ -548,14 +548,23 @@
"more": "Assistenteneinstellungen",
"prompt": "Prompt-Einstellungen",
"reasoning_effort": {
"auto": "Auto",
"auto_description": "Denkaufwand flexibel bestimmen",
"default": "Standard",
"default_description": "Vom Standardverhalten des Modells abhängen, ohne Konfiguration.",
"high": "Tiefes Nachdenken",
"high_description": "Ganzheitliches Denken",
"label": "Gedankenkettenlänge",
"low": "Spontan",
"low_description": "Geringfügige Argumentation",
"medium": "Überlegt",
"medium_description": "Denken auf mittlerem Niveau",
"minimal": "Minimal",
"minimal_description": "Minimales Denken",
"off": "Aus",
"xhigh": "Extra hoch"
"off_description": "Denken deaktivieren",
"xhigh": "Extra hoch",
"xhigh_description": "Extra hohes Denkvermögen"
},
"regular_phrases": {
"add": "Phrase hinzufügen",
@ -2634,6 +2643,7 @@
"lanyun": "Lanyun Technologie",
"lmstudio": "LM Studio",
"longcat": "Meißner Riesenhamster",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "MCP-Service automatisch installieren (Beta-Version)",
"memory": "MCP-Server mit persistenter Erinnerungsbasis auf lokalem Wissensgraphen, der Informationen über verschiedene Dialoge hinweg speichert. MEMORY_FILE_PATH-Umgebungsvariable muss konfiguriert werden",
"no": "Keine Beschreibung",
"nowledge_mem": "Erfordert lokal laufende Nowledge Mem App. Speichert KI-Chats, Tools, Notizen, Agenten und Dateien in einem privaten Speicher auf Ihrem Computer. Download unter https://mem.nowledge.co/",
"python": "Python-Code in einem sicheren Sandbox-Umgebung ausführen. Verwendung von Pyodide für Python, Unterstützung für die meisten Standardbibliotheken und wissenschaftliche Pakete",
"sequentialthinking": "MCP-Server-Implementierung mit strukturiertem Denkprozess, der dynamische und reflektierende Problemlösungen ermöglicht"
},

13
src/renderer/src/i18n/translate/el-gr.json
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@ -548,14 +548,23 @@
"more": "Ρυθμίσεις Βοηθού",
"prompt": "Ρυθμίσεις προκαλύμματος",
"reasoning_effort": {
"auto": "Αυτοκίνητο",
"auto_description": "Ευέλικτος καθορισμός της προσπάθειας συλλογισμού",
"default": "Προεπιλογή",
"default_description": "Εξαρτηθείτε από την προεπιλεγμένη συμπεριφορά του μοντέλου, χωρίς καμία διαμόρφωση.",
"high": "Μεγάλο",
"high_description": "Υψηλού επιπέδου συλλογισμός",
"label": "Μήκος λογισμικού αλυσίδας",
"low": "Μικρό",
"low_description": "Χαμηλού επιπέδου συλλογιστική",
"medium": "Μεσαίο",
"medium_description": "Αιτιολόγηση μεσαίου επιπέδου",
"minimal": "ελάχιστος",
"minimal_description": "Ελάχιστος συλλογισμός",
"off": "Απενεργοποίηση",
"xhigh": "Εξαιρετικά Υψηλή"
"off_description": "Απενεργοποίηση λογικής",
"xhigh": "Εξαιρετικά Υψηλή",
"xhigh_description": "Εξαιρετικά υψηλού επιπέδου συλλογισμός"
},
"regular_phrases": {
"add": "Προσθήκη φράσης",
@ -2634,6 +2643,7 @@
"lanyun": "Λανιούν Τεχνολογία",
"lmstudio": "LM Studio",
"longcat": "Τσίρο",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope Magpie",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Αυτόματη εγκατάσταση υπηρεσίας MCP (προβολή)",
"memory": "Βασική υλοποίηση μόνιμης μνήμης με βάση τοπικό γράφημα γνώσης. Αυτό επιτρέπει στο μοντέλο να θυμάται πληροφορίες σχετικές με τον χρήστη ανάμεσα σε διαφορετικές συνομιλίες. Απαιτείται η ρύθμιση της μεταβλητής περιβάλλοντος MEMORY_FILE_PATH.",
"no": "Χωρίς περιγραφή",
"nowledge_mem": "[to be translated]:Requires Nowledge Mem app running locally. Keeps AI chats, tools, notes, agents, and files in private memory on your computer. Download from https://mem.nowledge.co/",
"python": "Εκτελέστε κώδικα Python σε ένα ασφαλές περιβάλλον sandbox. Χρησιμοποιήστε το Pyodide για να εκτελέσετε Python, υποστηρίζοντας την πλειονότητα των βιβλιοθηκών της τυπικής βιβλιοθήκης και των πακέτων επιστημονικού υπολογισμού",
"sequentialthinking": "ένας εξυπηρετητής MCP που υλοποιείται, παρέχοντας εργαλεία για δυναμική και αναστοχαστική επίλυση προβλημάτων μέσω δομημένων διαδικασιών σκέψης"
},

13
src/renderer/src/i18n/translate/es-es.json
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@ -548,14 +548,23 @@
"more": "Configuración del Asistente",
"prompt": "Configuración de Palabras Clave",
"reasoning_effort": {
"auto": "Automóvil",
"auto_description": "Determinar flexiblemente el esfuerzo de razonamiento",
"default": "Por defecto",
"default_description": "Depender del comportamiento predeterminado del modelo, sin ninguna configuración.",
"high": "Largo",
"high_description": "Razonamiento de alto nivel",
"label": "Longitud de Cadena de Razonamiento",
"low": "Corto",
"low_description": "Razonamiento de bajo nivel",
"medium": "Medio",
"medium_description": "Razonamiento de nivel medio",
"minimal": "minimal",
"minimal_description": "Razonamiento mínimo",
"off": "Apagado",
"xhigh": "Extra Alta"
"off_description": "Deshabilitar razonamiento",
"xhigh": "Extra Alta",
"xhigh_description": "Razonamiento de extra alto nivel"
},
"regular_phrases": {
"add": "Agregar frase",
@ -2634,6 +2643,7 @@
"lanyun": "Tecnología Lanyun",
"lmstudio": "Estudio LM",
"longcat": "Totoro",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "Minimax",
"mistral": "Mistral",
"modelscope": "ModelScope Módulo",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Instalación automática del servicio MCP (versión beta)",
"memory": "Implementación básica de memoria persistente basada en un grafo de conocimiento local. Esto permite que el modelo recuerde información relevante del usuario entre diferentes conversaciones. Es necesario configurar la variable de entorno MEMORY_FILE_PATH.",
"no": "sin descripción",
"nowledge_mem": "[to be translated]:Requires Nowledge Mem app running locally. Keeps AI chats, tools, notes, agents, and files in private memory on your computer. Download from https://mem.nowledge.co/",
"python": "Ejecuta código Python en un entorno sandbox seguro. Usa Pyodide para ejecutar Python, compatible con la mayoría de las bibliotecas estándar y paquetes de cálculo científico.",
"sequentialthinking": "Una implementación de servidor MCP que proporciona herramientas para la resolución dinámica y reflexiva de problemas mediante un proceso de pensamiento estructurado"
},

13
src/renderer/src/i18n/translate/fr-fr.json
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@ -548,14 +548,23 @@
"more": "Paramètres de l'assistant",
"prompt": "Paramètres de l'invite",
"reasoning_effort": {
"auto": "Auto",
"auto_description": "Déterminer de manière flexible l'effort de raisonnement",
"default": "Par défaut",
"default_description": "Dépendre du comportement par défaut du modèle, sans aucune configuration.",
"high": "Long",
"high_description": "Raisonnement de haut niveau",
"label": "Longueur de la chaîne de raisonnement",
"low": "Court",
"low_description": "Raisonnement de bas niveau",
"medium": "Moyen",
"medium_description": "Raisonnement de niveau moyen",
"minimal": "minimal",
"minimal_description": "Réflexion minimale",
"off": "Off",
"xhigh": "Très élevée"
"off_description": "Désactiver le raisonnement",
"xhigh": "Très élevée",
"xhigh_description": "Raisonnement de très haut niveau"
},
"regular_phrases": {
"add": "Добавить фразу",
@ -2634,6 +2643,7 @@
"lanyun": "Technologie Lan Yun",
"lmstudio": "Studio LM",
"longcat": "Mon voisin Totoro",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope MoDa",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Installation automatique du service MCP (version bêta)",
"memory": "Implémentation de base de mémoire persistante basée sur un graphe de connaissances local. Cela permet au modèle de se souvenir des informations relatives à l'utilisateur entre différentes conversations. Nécessite la configuration de la variable d'environnement MEMORY_FILE_PATH.",
"no": "sans description",
"nowledge_mem": "[to be translated]:Requires Nowledge Mem app running locally. Keeps AI chats, tools, notes, agents, and files in private memory on your computer. Download from https://mem.nowledge.co/",
"python": "Exécutez du code Python dans un environnement bac à sable sécurisé. Utilisez Pyodide pour exécuter Python, prenant en charge la plupart des bibliothèques standard et des packages de calcul scientifique.",
"sequentialthinking": "Un serveur MCP qui fournit des outils permettant une résolution dynamique et réflexive des problèmes à travers un processus de pensée structuré"
},

13
src/renderer/src/i18n/translate/ja-jp.json
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@ -548,14 +548,23 @@
"more": "アシスタント設定",
"prompt": "プロンプト設定",
"reasoning_effort": {
"auto": "自動",
"auto_description": "推論にかける労力を柔軟に調整する",
"default": "デフォルト",
"default_description": "設定なしで、モデルの既定の動作に依存する。",
"high": "最大限の思考",
"high_description": "高度な推論",
"label": "思考連鎖の長さ",
"low": "少しの思考",
"low_description": "低レベル推論",
"medium": "普通の思考",
"medium_description": "中レベル推論",
"minimal": "最小限の思考",
"minimal_description": "最小限の推論",
"off": "オフ",
"xhigh": "超高"
"off_description": "推論を無効にする",
"xhigh": "超高",
"xhigh_description": "超高度な推論"
},
"regular_phrases": {
"add": "プロンプトを追加",
@ -2634,6 +2643,7 @@
"lanyun": "LANYUN",
"lmstudio": "LM Studio",
"longcat": "トトロ",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "MCPサービスの自動インストール（ベータ版）",
"memory": "ローカルのナレッジグラフに基づく永続的なメモリの基本的な実装です。これにより、モデルは異なる会話間でユーザーの関連情報を記憶できるようになります。MEMORY_FILE_PATH 環境変数の設定が必要です。",
"no": "説明なし",
"nowledge_mem": "Nowledge Mem アプリをローカルで実行する必要があります。AI チャット、ツール、ノート、エージェント、ファイルをコンピューター上のプライベートメモリに保存します。https://mem.nowledge.co/ からダウンロードしてください",
"python": "安全なサンドボックス環境でPythonコードを実行します。Pyodideを使用してPythonを実行し、ほとんどの標準ライブラリと科学計算パッケージをサポートしています。",
"sequentialthinking": "構造化された思考プロセスを通じて動的かつ反省的な問題解決を行うためのツールを提供するMCPサーバーの実装"
},

13
src/renderer/src/i18n/translate/pt-pt.json
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@ -548,14 +548,23 @@
"more": "Configurações do Assistente",
"prompt": "Configurações de Prompt",
"reasoning_effort": {
"auto": "Automóvel",
"auto_description": "Determinar flexivelmente o esforço de raciocínio",
"default": "Padrão",
"default_description": "Depender do comportamento padrão do modelo, sem qualquer configuração.",
"high": "Longo",
"high_description": "Raciocínio de alto nível",
"label": "Comprimento da Cadeia de Raciocínio",
"low": "Curto",
"low_description": "Raciocínio de baixo nível",
"medium": "Médio",
"medium_description": "Raciocínio de nível médio",
"minimal": "mínimo",
"minimal_description": "Raciocínio mínimo",
"off": "Desligado",
"xhigh": "Extra Alta"
"off_description": "Desabilitar raciocínio",
"xhigh": "Extra Alta",
"xhigh_description": "Raciocínio de altíssimo nível"
},
"regular_phrases": {
"add": "Adicionar Frase",
@ -2634,6 +2643,7 @@
"lanyun": "Lanyun Tecnologia",
"lmstudio": "Estúdio LM",
"longcat": "Totoro",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "Minimax",
"mistral": "Mistral",
"modelscope": "ModelScope MôDá",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Instalação automática do serviço MCP (beta)",
"memory": "Implementação base de memória persistente baseada em grafos de conhecimento locais. Isso permite que o modelo lembre informações relevantes do utilizador entre diferentes conversas. É necessário configurar a variável de ambiente MEMORY_FILE_PATH.",
"no": "sem descrição",
"nowledge_mem": "Requer a aplicação Nowledge Mem em execução localmente. Mantém conversas de IA, ferramentas, notas, agentes e ficheiros numa memória privada no seu computador. Transfira de https://mem.nowledge.co/",
"python": "Executar código Python num ambiente sandbox seguro. Utilizar Pyodide para executar Python, suportando a maioria das bibliotecas padrão e pacotes de computação científica",
"sequentialthinking": "Uma implementação de servidor MCP que fornece ferramentas para resolução dinâmica e reflexiva de problemas através de um processo de pensamento estruturado"
},

13
src/renderer/src/i18n/translate/ru-ru.json
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@ -548,14 +548,23 @@
"more": "Настройки ассистента",
"prompt": "Настройки промптов",
"reasoning_effort": {
"auto": "Авто",
"auto_description": "Гибко определяйте усилие на рассуждение",
"default": "По умолчанию",
"default_description": "Полагаться на поведение модели по умолчанию, без какой-либо конфигурации.",
"high": "Стараюсь думать",
"high_description": "Высокоуровневое рассуждение",
"label": "Настройки размышлений",
"low": "Меньше думать",
"low_description": "Низкоуровневое рассуждение",
"medium": "Среднее",
"medium_description": "Средний уровень рассуждения",
"minimal": "минимальный",
"minimal_description": "Минимальное рассуждение",
"off": "Выключить",
"xhigh": "Сверхвысокое"
"off_description": "Отключить рассуждение",
"xhigh": "Сверхвысокое",
"xhigh_description": "Высочайший уровень рассуждений"
},
"regular_phrases": {
"add": "Добавить подсказку",
@ -2634,6 +2643,7 @@
"lanyun": "LANYUN",
"lmstudio": "LM Studio",
"longcat": "Тоторо",
"mimo": "[to be translated]:Xiaomi MiMo",
"minimax": "MiniMax",
"mistral": "Mistral",
"modelscope": "ModelScope",
@ -3951,6 +3961,7 @@
"mcp_auto_install": "Автоматическая установка службы MCP (бета-версия)",
"memory": "реализация постоянной памяти на основе локального графа знаний. Это позволяет модели запоминать информацию о пользователе между различными диалогами. Требуется настроить переменную среды MEMORY_FILE_PATH.",
"no": "без описания",
"nowledge_mem": "Требуется запущенное локально приложение Nowledge Mem. Хранит чаты ИИ, инструменты, заметки, агентов и файлы в приватной памяти на вашем компьютере. Скачать можно на https://mem.nowledge.co/",
"python": "Выполняйте код Python в безопасной песочнице. Запускайте Python с помощью Pyodide, поддерживается большинство стандартных библиотек и пакетов для научных вычислений",
"sequentialthinking": "MCP серверная реализация, предоставляющая инструменты для динамического и рефлексивного решения проблем посредством структурированного мыслительного процесса"
},

44
src/renderer/src/pages/home/Inputbar/tools/components/ThinkingButton.tsx
View File

@ -6,7 +6,8 @@ import {
MdiLightbulbOn30,
MdiLightbulbOn50,
MdiLightbulbOn80,
MdiLightbulbOn90
MdiLightbulbOn90,
MdiLightbulbQuestion
} from '@renderer/components/Icons/SVGIcon'
import { QuickPanelReservedSymbol, useQuickPanel } from '@renderer/components/QuickPanel'
import {
@ -18,7 +19,6 @@ import {
MODEL_SUPPORTED_OPTIONS
} from '@renderer/config/models'
import { useAssistant } from '@renderer/hooks/useAssistant'
import { getReasoningEffortOptionsLabel } from '@renderer/i18n/label'
import type { ToolQuickPanelApi } from '@renderer/pages/home/Inputbar/types'
import type { Model, ThinkingOption } from '@renderer/types'
import { Tooltip } from 'antd'
@ -88,19 +88,48 @@ const ThinkingButton: FC<Props> = ({ quickPanel, model, assistantId }): ReactEle
[updateAssistantSettings, assistant.enableWebSearch, model, t]
)
const reasoningEffortOptionLabelMap = {
default: t('assistants.settings.reasoning_effort.default'),
none: t('assistants.settings.reasoning_effort.off'),
minimal: t('assistants.settings.reasoning_effort.minimal'),
high: t('assistants.settings.reasoning_effort.high'),
low: t('assistants.settings.reasoning_effort.low'),
medium: t('assistants.settings.reasoning_effort.medium'),
auto: t('assistants.settings.reasoning_effort.auto'),
xhigh: t('assistants.settings.reasoning_effort.xhigh')
} as const satisfies Record<ThinkingOption, string>
const reasoningEffortDescriptionMap = {
default: t('assistants.settings.reasoning_effort.default_description'),
none: t('assistants.settings.reasoning_effort.off_description'),
minimal: t('assistants.settings.reasoning_effort.minimal_description'),
low: t('assistants.settings.reasoning_effort.low_description'),
medium: t('assistants.settings.reasoning_effort.medium_description'),
high: t('assistants.settings.reasoning_effort.high_description'),
xhigh: t('assistants.settings.reasoning_effort.xhigh_description'),
auto: t('assistants.settings.reasoning_effort.auto_description')
} as const satisfies Record<ThinkingOption, string>
const panelItems = useMemo(() => {
// 使用表中定义的选项创建UI选项
return supportedOptions.map((option) => ({
level: option,
label: getReasoningEffortOptionsLabel(option),
description: '',
label: reasoningEffortOptionLabelMap[option],
description: reasoningEffortDescriptionMap[option],
icon: ThinkingIcon({ option }),
isSelected: currentReasoningEffort === option,
action: () => onThinkingChange(option)
}))
}, [currentReasoningEffort, supportedOptions, onThinkingChange])
}, [
supportedOptions,
reasoningEffortOptionLabelMap,
reasoningEffortDescriptionMap,
currentReasoningEffort,
onThinkingChange
])
const isThinkingEnabled = currentReasoningEffort !== undefined && currentReasoningEffort !== 'none'
const isThinkingEnabled =
currentReasoningEffort !== undefined && currentReasoningEffort !== 'none' && currentReasoningEffort !== 'default'
const disableThinking = useCallback(() => {
onThinkingChange('none')
@ -197,8 +226,9 @@ const ThinkingIcon = (props: { option?: ThinkingOption; isFixedReasoning?: boole
case 'none':
IconComponent = MdiLightbulbOffOutline
break
case 'default':
default:
IconComponent = MdiLightbulbOffOutline
IconComponent = MdiLightbulbQuestion
break
}
}

3
src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx
View File

@ -80,7 +80,8 @@ const ANTHROPIC_COMPATIBLE_PROVIDER_IDS = [
SystemProviderIds.minimax,
SystemProviderIds.silicon,
SystemProviderIds.qiniu,
SystemProviderIds.dmxapi
SystemProviderIds.dmxapi,
SystemProviderIds.mimo
] as const
type AnthropicCompatibleProviderId = (typeof ANTHROPIC_COMPATIBLE_PROVIDER_IDS)[number]

5
src/renderer/src/services/AssistantService.ts
View File

@ -38,7 +38,8 @@ export const DEFAULT_ASSISTANT_SETTINGS = {
enableTopP: false,
// It would gracefully fallback to prompt if not supported by model.
toolUseMode: 'function',
customParameters: []
customParameters: [],
reasoning_effort: 'default'
} as const satisfies AssistantSettings
export function getDefaultAssistant(): Assistant {
@ -186,7 +187,7 @@ export const getAssistantSettings = (assistant: Assistant): AssistantSettings =>
streamOutput: assistant?.settings?.streamOutput ?? true,
toolUseMode: assistant?.settings?.toolUseMode ?? 'function',
defaultModel: assistant?.defaultModel ?? undefined,
reasoning_effort: assistant?.settings?.reasoning_effort ?? undefined,
reasoning_effort: assistant?.settings?.reasoning_effort ?? 'default',
customParameters: assistant?.settings?.customParameters ?? []
}
}

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

@ -67,7 +67,7 @@ const persistedReducer = persistReducer(
{
key: 'cherry-studio',
storage,
version: 186,
version: 187,
blacklist: ['runtime', 'messages', 'messageBlocks', 'tabs', 'toolPermissions'],
migrate
},

10
src/renderer/src/store/mcp.ts
View File

@ -183,6 +183,16 @@ export const builtinMCPServers: BuiltinMCPServer[] = [
provider: 'CherryAI',
installSource: 'builtin',
isTrusted: true
},
{
id: nanoid(),
name: BuiltinMCPServerNames.nowledgeMem,
reference: 'https://mem.nowledge.co/',
type: 'inMemory',
isActive: false,
provider: 'Nowledge',
installSource: 'builtin',
isTrusted: true
}
] as const

15
src/renderer/src/store/migrate.ts
View File

@ -3038,6 +3038,21 @@ const migrateConfig = {
logger.error('migrate 186 error', error as Error)
return state
}
},
'187': (state: RootState) => {
try {
state.assistants.assistants.forEach((assistant) => {
if (assistant.settings && assistant.settings.reasoning_effort === undefined) {
assistant.settings.reasoning_effort = 'default'
}
})
addProvider(state, 'mimo')
logger.info('migrate 187 success')
return state
} catch (error) {
logger.error('migrate 187 error', error as Error)
return state
}
}
}

26
src/renderer/src/types/index.ts
View File

@ -94,21 +94,23 @@ const ThinkModelTypes = [
'gpt52pro',
'grok',
'grok4_fast',
'gemini',
'gemini_pro',
'gemini3',
'gemini2_flash',
'gemini2_pro',
'gemini3_flash',
'gemini3_pro',
'qwen',
'qwen_thinking',
'doubao',
'doubao_no_auto',
'doubao_after_251015',
'mimo',
'hunyuan',
'zhipu',
'perplexity',
'deepseek_hybrid'
] as const
export type ReasoningEffortOption = NonNullable<OpenAI.ReasoningEffort> | 'auto'
export type ReasoningEffortOption = NonNullable<OpenAI.ReasoningEffort> | 'auto' | 'default'
export type ThinkingOption = ReasoningEffortOption
export type ThinkingModelType = (typeof ThinkModelTypes)[number]
export type ThinkingOptionConfig = Record<ThinkingModelType, ThinkingOption[]>
@ -120,6 +122,8 @@ export function isThinkModelType(type: string): type is ThinkingModelType {
}
export const EFFORT_RATIO: EffortRatio = {
// 'default' is not expected to be used.
default: 0,
none: 0.01,
minimal: 0.05,
low: 0.05,
@ -140,12 +144,11 @@ export type AssistantSettings = {
streamOutput: boolean
defaultModel?: Model
customParameters?: AssistantSettingCustomParameters[]
reasoning_effort?: ReasoningEffortOption
/** 保留上一次使用思考模型时的 reasoning effort, 在从非思考模型切换到思考模型时恢复.
*
* TODO: 目前 reasoning_effort === undefined 有两个语义，有的场景是显式关闭思考，有的场景是不传参。
* 未来应该重构思考控制，将启用/关闭思考和思考选项分离，这样就不用依赖 cache 了。
*
reasoning_effort: ReasoningEffortOption
/**
* Preserve the effective reasoning effort (not 'default') from the last use of a thinking model which supports thinking control,
* and restore it when switching back from a non-thinking or fixed reasoning model.
* FIXME: It should be managed by external cache service instead of being stored in the assistant
*/
reasoning_effort_cache?: ReasoningEffortOption
qwenThinkMode?: boolean
@ -750,7 +753,8 @@ export const BuiltinMCPServerNames = {
difyKnowledge: '@cherry/dify-knowledge',
python: '@cherry/python',
didiMCP: '@cherry/didi-mcp',
browser: '@cherry/browser'
browser: '@cherry/browser',
nowledgeMem: '@cherry/nowledge-mem'
} as const
export type BuiltinMCPServerName = (typeof BuiltinMCPServerNames)[keyof typeof BuiltinMCPServerNames]

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

@ -189,7 +189,8 @@ export const SystemProviderIdSchema = z.enum([
'huggingface',
'sophnet',
'gateway',
'cerebras'
'cerebras',
'mimo'
])
export type SystemProviderId = z.infer<typeof SystemProviderIdSchema>
@ -258,7 +259,8 @@ export const SystemProviderIds = {
longcat: 'longcat',
huggingface: 'huggingface',
gateway: 'gateway',
cerebras: 'cerebras'
cerebras: 'cerebras',
mimo: 'mimo'
} as const satisfies Record<SystemProviderId, SystemProviderId>
type SystemProviderIdTypeMap = typeof SystemProviderIds

131
yarn.lock
View File

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