From 0f1b3afa72819cf4ce5bb2711ef3c5dd512cb7fd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?George=C2=B7Dong?= <98630204+GeorgeDong32@users.noreply.github.com> Date: Thu, 18 Dec 2025 13:30:23 +0800 Subject: [PATCH 1/5] =?UTF-8?q?feat:=20=E6=B7=BB=E5=8A=A0=E7=81=AB?= =?UTF-8?q?=E5=B1=B1=E5=BC=95=E6=93=8E=20Doubao-Seed-1.8=20=E6=A8=A1?= =?UTF-8?q?=E5=9E=8B=E6=94=AF=E6=8C=81=20(#11972)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 新增模型定义: doubao-seed-1-8-251215 - 支持思考模式: reasoning_effort (minimal/low/medium/high) - 支持 Function Call - 支持图像理解 (Vision) - 更新正则表达式支持 seed-1.8 变体 - 添加完整测试覆盖 修改文件: - src/renderer/src/config/models/default.ts - src/renderer/src/config/models/reasoning.ts - src/renderer/src/aiCore/utils/reasoning.ts - src/renderer/src/config/models/vision.ts - src/renderer/src/config/models/tooluse.ts - src/renderer/src/config/models/__tests__/reasoning.test.ts --- src/renderer/src/aiCore/utils/reasoning.ts | 3 ++- .../src/config/models/__tests__/reasoning.test.ts | 6 ++++++ src/renderer/src/config/models/default.ts | 6 ++++++ src/renderer/src/config/models/reasoning.ts | 9 +++++++-- src/renderer/src/config/models/tooluse.ts | 2 +- src/renderer/src/config/models/vision.ts | 2 +- 6 files changed, 23 insertions(+), 5 deletions(-) diff --git a/src/renderer/src/aiCore/utils/reasoning.ts b/src/renderer/src/aiCore/utils/reasoning.ts index 10afbbaf5f..ca1d03966a 100644 --- a/src/renderer/src/aiCore/utils/reasoning.ts +++ b/src/renderer/src/aiCore/utils/reasoning.ts @@ -10,6 +10,7 @@ import { GEMINI_FLASH_MODEL_REGEX, getModelSupportedReasoningEffortOptions, isDeepSeekHybridInferenceModel, + isDoubaoSeed18Model, isDoubaoSeedAfter251015, isDoubaoThinkingAutoModel, isGemini3ThinkingTokenModel, @@ -389,7 +390,7 @@ 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') { diff --git a/src/renderer/src/config/models/__tests__/reasoning.test.ts b/src/renderer/src/config/models/__tests__/reasoning.test.ts index ded3f9cc77..ba7af37f17 100644 --- a/src/renderer/src/config/models/__tests__/reasoning.test.ts +++ b/src/renderer/src/config/models/__tests__/reasoning.test.ts @@ -733,6 +733,11 @@ 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') }) @@ -863,6 +868,7 @@ 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') }) diff --git a/src/renderer/src/config/models/default.ts b/src/renderer/src/config/models/default.ts index d7b0e885d0..66368d35fe 100644 --- a/src/renderer/src/config/models/default.ts +++ b/src/renderer/src/config/models/default.ts @@ -746,6 +746,12 @@ export const SYSTEM_MODELS: Record = } ], 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', diff --git a/src/renderer/src/config/models/reasoning.ts b/src/renderer/src/config/models/reasoning.ts index 4b0e293f40..14174d1629 100644 --- a/src/renderer/src/config/models/reasoning.ts +++ b/src/renderer/src/config/models/reasoning.ts @@ -146,7 +146,7 @@ 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' @@ -457,7 +457,7 @@ 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 @@ -475,6 +475,11 @@ 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 diff --git a/src/renderer/src/config/models/tooluse.ts b/src/renderer/src/config/models/tooluse.ts index 50890aaf8d..66e2dcc209 100644 --- a/src/renderer/src/config/models/tooluse.ts +++ b/src/renderer/src/config/models/tooluse.ts @@ -25,7 +25,7 @@ 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-]+)?', diff --git a/src/renderer/src/config/models/vision.ts b/src/renderer/src/config/models/vision.ts index 183ec99433..fe4bc9912c 100644 --- a/src/renderer/src/config/models/vision.ts +++ b/src/renderer/src/config/models/vision.ts @@ -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]+)?`, From c04529a23c0cd395a214591e6039f091ff7000f1 Mon Sep 17 00:00:00 2001 From: SuYao Date: Thu, 18 Dec 2025 13:30:41 +0800 Subject: [PATCH 2/5] refactor: improve budget calculation logic (#11973) * refactor: improve budget calculation logic * Update src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * [WIP] Address feedback on budget calculation logic refactor (#11974) * Initial plan * fix: revert budget calculation to linear interpolation formula Reverted the budget calculation in getAnthropicThinkingBudget from `tokenLimit.max * effortRatio` back to the original linear interpolation formula `(tokenLimit.max - tokenLimit.min) * effortRatio + tokenLimit.min`. The new formula was causing lower budgets for all effort ratios (e.g., LOW effort changed from 2609 to 1638 tokens, a 37% reduction). The linear interpolation formula ensures budgets range from min (at effortRatio=0) to max (at effortRatio=1), matching the behavior in other parts of the codebase (lines 221, 597). Updated tests to reflect the correct expected values with the linear interpolation formula. Co-authored-by: DeJeune <67425183+DeJeune@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: DeJeune <67425183+DeJeune@users.noreply.github.com> * fix(test): reasoning * fix: test --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> --- .../aiCore/utils/__tests__/reasoning.test.ts | 95 ++++++++++++++++++- src/renderer/src/aiCore/utils/reasoning.ts | 18 ++-- 2 files changed, 99 insertions(+), 14 deletions(-) diff --git a/src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts b/src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts index e5561f6fcf..df7d69d0c2 100644 --- a/src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts +++ b/src/renderer/src/aiCore/utils/__tests__/reasoning.test.ts @@ -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) } }) @@ -649,7 +651,7 @@ describe('reasoning utils', () => { expect(result).toEqual({ thinking: { type: 'enabled', - budgetTokens: 2048 + budgetTokens: 4096 } }) }) @@ -729,7 +731,7 @@ describe('reasoning utils', () => { const result = getGeminiReasoningParams(assistant, model) expect(result).toEqual({ thinkingConfig: { - thinkingBudget: 16448, + thinkingBudget: expect.any(Number), includeThoughts: true } }) @@ -893,7 +895,7 @@ describe('reasoning utils', () => { expect(result).toEqual({ reasoningConfig: { type: 'enabled', - budgetTokens: 2048 + budgetTokens: 4096 } }) }) @@ -994,4 +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) + }) + }) }) diff --git a/src/renderer/src/aiCore/utils/reasoning.ts b/src/renderer/src/aiCore/utils/reasoning.ts index ca1d03966a..9320fb8e50 100644 --- a/src/renderer/src/aiCore/utils/reasoning.ts +++ b/src/renderer/src/aiCore/utils/reasoning.ts @@ -480,16 +480,14 @@ 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) } /** From 6309cc179d465d27330d5523e5eddeab4a3462e4 Mon Sep 17 00:00:00 2001 From: LiuVaayne <10231735+vaayne@users.noreply.github.com> Date: Thu, 18 Dec 2025 13:34:06 +0800 Subject: [PATCH 3/5] feat(mcp): add Nowledge Mem builtin MCP server (#11875) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * ✨ feat(mcp): add Nowledge Mem builtin MCP server Add @cherry/nowLedgeMem as a new builtin MCP server that connects to local Nowledge Mem service via HTTP at 127.0.0.1:14242/mcp. - Add nowLedgeMem to BuiltinMCPServerNames type definitions - Add HTTP transport handling in MCPService with APP header - Add server config to builtinMCPServers array - Add i18n translations (en-us, zh-cn, zh-tw) * Fix Nowledge Mem server name typos across codebase * 🌐 i18n: add missing translations for Nowledge Mem and Git Bash settings Translate [to be translated] markers across 8 locale files: - zh-tw, de-de, fr-fr, es-es, pt-pt, ru-ru: nowledgeMem description - fr-fr, es-es, pt-pt, ru-ru, el-gr, ja-jp: xhigh reasoning chain option - el-gr, ja-jp: Git Bash configuration strings * 🐛 fix: address PR review comments for Nowledge Mem MCP - Fix log message typo: use server.name instead of hardcoded "NowLedgeMem" - Rename i18n key from "nowledgeMem" to "nowledge_mem" for consistency - Update descriptions to warn about external dependency requirement --- src/main/services/MCPService.ts | 20 ++++++++++++++++++++ src/renderer/src/i18n/label.ts | 3 ++- src/renderer/src/i18n/locales/en-us.json | 1 + src/renderer/src/i18n/locales/zh-cn.json | 1 + src/renderer/src/i18n/locales/zh-tw.json | 1 + src/renderer/src/i18n/translate/de-de.json | 1 + src/renderer/src/i18n/translate/el-gr.json | 1 + src/renderer/src/i18n/translate/es-es.json | 1 + src/renderer/src/i18n/translate/fr-fr.json | 1 + src/renderer/src/i18n/translate/ja-jp.json | 1 + src/renderer/src/i18n/translate/pt-pt.json | 1 + src/renderer/src/i18n/translate/ru-ru.json | 1 + src/renderer/src/store/mcp.ts | 10 ++++++++++ src/renderer/src/types/index.ts | 3 ++- 14 files changed, 44 insertions(+), 2 deletions(-) diff --git a/src/main/services/MCPService.ts b/src/main/services/MCPService.ts index cc6bbaa366..ebdc2247fc 100644 --- a/src/main/services/MCPService.ts +++ b/src/main/services/MCPService.ts @@ -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() diff --git a/src/renderer/src/i18n/label.ts b/src/renderer/src/i18n/label.ts index 8e2600a681..ce36282b22 100644 --- a/src/renderer/src/i18n/label.ts +++ b/src/renderer/src/i18n/label.ts @@ -330,7 +330,8 @@ const builtInMcpDescriptionKeyMap: Record = { [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 => { diff --git a/src/renderer/src/i18n/locales/en-us.json b/src/renderer/src/i18n/locales/en-us.json index 0085cef491..08c2827200 100644 --- a/src/renderer/src/i18n/locales/en-us.json +++ b/src/renderer/src/i18n/locales/en-us.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/locales/zh-cn.json b/src/renderer/src/i18n/locales/zh-cn.json index 2ad73a19bf..fa73a46499 100644 --- a/src/renderer/src/i18n/locales/zh-cn.json +++ b/src/renderer/src/i18n/locales/zh-cn.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/locales/zh-tw.json b/src/renderer/src/i18n/locales/zh-tw.json index 67b56e9873..e8128f33a9 100644 --- a/src/renderer/src/i18n/locales/zh-tw.json +++ b/src/renderer/src/i18n/locales/zh-tw.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/de-de.json b/src/renderer/src/i18n/translate/de-de.json index 3fcd849548..3d32436540 100644 --- a/src/renderer/src/i18n/translate/de-de.json +++ b/src/renderer/src/i18n/translate/de-de.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/el-gr.json b/src/renderer/src/i18n/translate/el-gr.json index aed40bc2db..2f9ef72b2f 100644 --- a/src/renderer/src/i18n/translate/el-gr.json +++ b/src/renderer/src/i18n/translate/el-gr.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/es-es.json b/src/renderer/src/i18n/translate/es-es.json index b0f584b3b5..adebbfa31b 100644 --- a/src/renderer/src/i18n/translate/es-es.json +++ b/src/renderer/src/i18n/translate/es-es.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/fr-fr.json b/src/renderer/src/i18n/translate/fr-fr.json index eea3ddb1c1..7b24f57672 100644 --- a/src/renderer/src/i18n/translate/fr-fr.json +++ b/src/renderer/src/i18n/translate/fr-fr.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/ja-jp.json b/src/renderer/src/i18n/translate/ja-jp.json index ec72e3a3ab..e3b9fc77e5 100644 --- a/src/renderer/src/i18n/translate/ja-jp.json +++ b/src/renderer/src/i18n/translate/ja-jp.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/pt-pt.json b/src/renderer/src/i18n/translate/pt-pt.json index 5c3d2d1915..10b5a12e16 100644 --- a/src/renderer/src/i18n/translate/pt-pt.json +++ b/src/renderer/src/i18n/translate/pt-pt.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/i18n/translate/ru-ru.json b/src/renderer/src/i18n/translate/ru-ru.json index cba8a1e5eb..645fbaeeb0 100644 --- a/src/renderer/src/i18n/translate/ru-ru.json +++ b/src/renderer/src/i18n/translate/ru-ru.json @@ -3939,6 +3939,7 @@ "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" }, diff --git a/src/renderer/src/store/mcp.ts b/src/renderer/src/store/mcp.ts index ed7076bc1c..5b8d5bcdcf 100644 --- a/src/renderer/src/store/mcp.ts +++ b/src/renderer/src/store/mcp.ts @@ -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 diff --git a/src/renderer/src/types/index.ts b/src/renderer/src/types/index.ts index c9dc647acd..9ac3199f35 100644 --- a/src/renderer/src/types/index.ts +++ b/src/renderer/src/types/index.ts @@ -751,7 +751,8 @@ 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] From fd6986076ae42f2053ef9a5993549457afb63fde Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 18 Dec 2025 13:34:39 +0800 Subject: [PATCH 4/5] chore(deps): bump jws from 4.0.0 to 4.0.1 (#11977) Bumps [jws](https://github.com/brianloveswords/node-jws) from 4.0.0 to 4.0.1. - [Release notes](https://github.com/brianloveswords/node-jws/releases) - [Changelog](https://github.com/auth0/node-jws/blob/master/CHANGELOG.md) - [Commits](https://github.com/brianloveswords/node-jws/compare/v4.0.0...v4.0.1) --- updated-dependencies: - dependency-name: jws dependency-version: 4.0.1 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- yarn.lock | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/yarn.lock b/yarn.lock index 6e933257d1..ab781d3700 100644 --- a/yarn.lock +++ b/yarn.lock @@ -11246,7 +11246,7 @@ __metadata: languageName: node linkType: hard -"buffer-equal-constant-time@npm:1.0.1": +"buffer-equal-constant-time@npm:^1.0.1": version: 1.0.1 resolution: "buffer-equal-constant-time@npm:1.0.1" checksum: 10c0/fb2294e64d23c573d0dd1f1e7a466c3e978fe94a4e0f8183937912ca374619773bef8e2aceb854129d2efecbbc515bbd0cc78d2734a3e3031edb0888531bbc8e @@ -17178,24 +17178,24 @@ __metadata: languageName: node linkType: hard -"jwa@npm:^2.0.0": - version: 2.0.0 - resolution: "jwa@npm:2.0.0" +"jwa@npm:^2.0.1": + version: 2.0.1 + resolution: "jwa@npm:2.0.1" dependencies: - buffer-equal-constant-time: "npm:1.0.1" + buffer-equal-constant-time: "npm:^1.0.1" ecdsa-sig-formatter: "npm:1.0.11" safe-buffer: "npm:^5.0.1" - checksum: 10c0/6baab823b93c038ba1d2a9e531984dcadbc04e9eb98d171f4901b7a40d2be15961a359335de1671d78cb6d987f07cbe5d350d8143255977a889160c4d90fcc3c + checksum: 10c0/ab3ebc6598e10dc11419d4ed675c9ca714a387481466b10e8a6f3f65d8d9c9237e2826f2505280a739cf4cbcf511cb288eeec22b5c9c63286fc5a2e4f97e78cf languageName: node linkType: hard "jws@npm:^4.0.0": - version: 4.0.0 - resolution: "jws@npm:4.0.0" + version: 4.0.1 + resolution: "jws@npm:4.0.1" dependencies: - jwa: "npm:^2.0.0" + jwa: "npm:^2.0.1" safe-buffer: "npm:^5.0.1" - checksum: 10c0/f1ca77ea5451e8dc5ee219cb7053b8a4f1254a79cb22417a2e1043c1eb8a569ae118c68f24d72a589e8a3dd1824697f47d6bd4fb4bebb93a3bdf53545e721661 + checksum: 10c0/6be1ed93023aef570ccc5ea8d162b065840f3ef12f0d1bb3114cade844de7a357d5dc558201d9a65101e70885a6fa56b17462f520e6b0d426195510618a154d0 languageName: node linkType: hard From eb7a2cc85ae98daa02b5268c3808297efdf30b93 Mon Sep 17 00:00:00 2001 From: SuYao Date: Thu, 18 Dec 2025 13:49:09 +0800 Subject: [PATCH 5/5] feat: add support for Xiaomi MiMo model (#11961) * feat: add support for Xiaomi MiMo model - Implemented support for the MiMo model in reasoning logic. - Added MiMo model configuration in default models. - Included MiMo logos for both models and providers. - Updated provider configurations to include Xiaomi MiMo. - Enhanced reasoning effort and options to accommodate MiMo. - Added migration logic for state management to include MiMo. - Updated versioning in store to reflect changes. * chore(i18n): add specific provider name * fix(provider): add xiaomi mimo anthropic apihost * chore: url * fix: add tool use capability --- src/renderer/src/aiCore/utils/reasoning.ts | 7 +++++ .../src/assets/images/models/mimo.svg | 17 ++++++++++++ .../src/assets/images/providers/mimo.svg | 17 ++++++++++++ src/renderer/src/config/models/default.ts | 8 ++++++ src/renderer/src/config/models/logo.ts | 4 ++- src/renderer/src/config/models/reasoning.ts | 14 +++++++++- src/renderer/src/config/models/tooluse.ts | 3 ++- src/renderer/src/config/providers.ts | 26 ++++++++++++++++++- src/renderer/src/i18n/label.ts | 3 ++- src/renderer/src/i18n/locales/en-us.json | 1 + src/renderer/src/i18n/locales/zh-cn.json | 1 + src/renderer/src/i18n/locales/zh-tw.json | 1 + src/renderer/src/i18n/translate/de-de.json | 1 + src/renderer/src/i18n/translate/el-gr.json | 1 + src/renderer/src/i18n/translate/es-es.json | 1 + src/renderer/src/i18n/translate/fr-fr.json | 1 + src/renderer/src/i18n/translate/ja-jp.json | 1 + src/renderer/src/i18n/translate/pt-pt.json | 1 + src/renderer/src/i18n/translate/ru-ru.json | 1 + .../ProviderSettings/ProviderSetting.tsx | 3 ++- src/renderer/src/store/migrate.ts | 1 + src/renderer/src/types/index.ts | 1 + src/renderer/src/types/provider.ts | 6 +++-- 23 files changed, 112 insertions(+), 8 deletions(-) create mode 100644 src/renderer/src/assets/images/models/mimo.svg create mode 100644 src/renderer/src/assets/images/providers/mimo.svg diff --git a/src/renderer/src/aiCore/utils/reasoning.ts b/src/renderer/src/aiCore/utils/reasoning.ts index 9320fb8e50..a2364d97e1 100644 --- a/src/renderer/src/aiCore/utils/reasoning.ts +++ b/src/renderer/src/aiCore/utils/reasoning.ts @@ -29,6 +29,7 @@ import { isSupportedThinkingTokenDoubaoModel, isSupportedThinkingTokenGeminiModel, isSupportedThinkingTokenHunyuanModel, + isSupportedThinkingTokenMiMoModel, isSupportedThinkingTokenModel, isSupportedThinkingTokenQwenModel, isSupportedThinkingTokenZhipuModel @@ -409,6 +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 {} } diff --git a/src/renderer/src/assets/images/models/mimo.svg b/src/renderer/src/assets/images/models/mimo.svg new file mode 100644 index 0000000000..82370fece3 --- /dev/null +++ b/src/renderer/src/assets/images/models/mimo.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + diff --git a/src/renderer/src/assets/images/providers/mimo.svg b/src/renderer/src/assets/images/providers/mimo.svg new file mode 100644 index 0000000000..82370fece3 --- /dev/null +++ b/src/renderer/src/assets/images/providers/mimo.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + diff --git a/src/renderer/src/config/models/default.ts b/src/renderer/src/config/models/default.ts index 66368d35fe..37854c5749 100644 --- a/src/renderer/src/config/models/default.ts +++ b/src/renderer/src/config/models/default.ts @@ -1791,5 +1791,13 @@ export const SYSTEM_MODELS: Record = provider: 'cerebras', group: 'qwen' } + ], + mimo: [ + { + id: 'mimo-v2-flash', + name: 'Mimo V2 Flash', + provider: 'mimo', + group: 'Mimo' + } ] } diff --git a/src/renderer/src/config/models/logo.ts b/src/renderer/src/config/models/logo.ts index fe1a919c5e..75ad71f662 100644 --- a/src/renderer/src/config/models/logo.ts +++ b/src/renderer/src/config/models/logo.ts @@ -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 for (const key in logoMap) { diff --git a/src/renderer/src/config/models/reasoning.ts b/src/renderer/src/config/models/reasoning.ts index 14174d1629..faa04721e6 100644 --- a/src/renderer/src/config/models/reasoning.ts +++ b/src/renderer/src/config/models/reasoning.ts @@ -52,6 +52,7 @@ export const MODEL_SUPPORTED_REASONING_EFFORT = { 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 @@ -80,6 +81,7 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = { 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, @@ -155,6 +157,7 @@ const _getThinkModelType = (model: Model): ThinkingModelType => { 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 } @@ -263,7 +266,8 @@ function _isSupportedThinkingTokenModel(model: Model): boolean { isSupportedThinkingTokenClaudeModel(model) || isSupportedThinkingTokenDoubaoModel(model) || isSupportedThinkingTokenHunyuanModel(model) || - isSupportedThinkingTokenZhipuModel(model) + isSupportedThinkingTokenZhipuModel(model) || + isSupportedThinkingTokenMiMoModel(model) ) } @@ -561,6 +565,11 @@ 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) @@ -599,6 +608,8 @@ 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 @@ -649,6 +660,7 @@ 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') || diff --git a/src/renderer/src/config/models/tooluse.ts b/src/renderer/src/config/models/tooluse.ts index 66e2dcc209..54d371dfda 100644 --- a/src/renderer/src/config/models/tooluse.ts +++ b/src/renderer/src/config/models/tooluse.ts @@ -30,7 +30,8 @@ export const FUNCTION_CALLING_MODELS = [ 'kimi-k2(?:-[\\w-]+)?', 'ling-\\w+(?:-[\\w-]+)?', 'ring-\\w+(?:-[\\w-]+)?', - 'minimax-m2' + 'minimax-m2', + 'mimo-v2-flash' ] as const const FUNCTION_CALLING_EXCLUDED_MODELS = [ diff --git a/src/renderer/src/config/providers.ts b/src/renderer/src/config/providers.ts index bc32ef3490..1adeb58ad0 100644 --- a/src/renderer/src/config/providers.ts +++ b/src/renderer/src/config/providers.ts @@ -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 = 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 = { 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 = { 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/' + } } } diff --git a/src/renderer/src/i18n/label.ts b/src/renderer/src/i18n/label.ts index ce36282b22..2e6f84026e 100644 --- a/src/renderer/src/i18n/label.ts +++ b/src/renderer/src/i18n/label.ts @@ -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 /** diff --git a/src/renderer/src/i18n/locales/en-us.json b/src/renderer/src/i18n/locales/en-us.json index 08c2827200..f4012363e3 100644 --- a/src/renderer/src/i18n/locales/en-us.json +++ b/src/renderer/src/i18n/locales/en-us.json @@ -2643,6 +2643,7 @@ "lanyun": "LANYUN", "lmstudio": "LM Studio", "longcat": "LongCat AI", + "mimo": "Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope", diff --git a/src/renderer/src/i18n/locales/zh-cn.json b/src/renderer/src/i18n/locales/zh-cn.json index fa73a46499..f0d4adf4c8 100644 --- a/src/renderer/src/i18n/locales/zh-cn.json +++ b/src/renderer/src/i18n/locales/zh-cn.json @@ -2643,6 +2643,7 @@ "lanyun": "蓝耘科技", "lmstudio": "LM Studio", "longcat": "龙猫", + "mimo": "Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope 魔搭", diff --git a/src/renderer/src/i18n/locales/zh-tw.json b/src/renderer/src/i18n/locales/zh-tw.json index e8128f33a9..9625c68386 100644 --- a/src/renderer/src/i18n/locales/zh-tw.json +++ b/src/renderer/src/i18n/locales/zh-tw.json @@ -2643,6 +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", diff --git a/src/renderer/src/i18n/translate/de-de.json b/src/renderer/src/i18n/translate/de-de.json index 3d32436540..b3acb49950 100644 --- a/src/renderer/src/i18n/translate/de-de.json +++ b/src/renderer/src/i18n/translate/de-de.json @@ -2643,6 +2643,7 @@ "lanyun": "Lanyun Technologie", "lmstudio": "LM Studio", "longcat": "Meißner Riesenhamster", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope", diff --git a/src/renderer/src/i18n/translate/el-gr.json b/src/renderer/src/i18n/translate/el-gr.json index 2f9ef72b2f..ae7b855646 100644 --- a/src/renderer/src/i18n/translate/el-gr.json +++ b/src/renderer/src/i18n/translate/el-gr.json @@ -2643,6 +2643,7 @@ "lanyun": "Λανιούν Τεχνολογία", "lmstudio": "LM Studio", "longcat": "Τσίρο", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope Magpie", diff --git a/src/renderer/src/i18n/translate/es-es.json b/src/renderer/src/i18n/translate/es-es.json index adebbfa31b..26b499cba2 100644 --- a/src/renderer/src/i18n/translate/es-es.json +++ b/src/renderer/src/i18n/translate/es-es.json @@ -2643,6 +2643,7 @@ "lanyun": "Tecnología Lanyun", "lmstudio": "Estudio LM", "longcat": "Totoro", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "Minimax", "mistral": "Mistral", "modelscope": "ModelScope Módulo", diff --git a/src/renderer/src/i18n/translate/fr-fr.json b/src/renderer/src/i18n/translate/fr-fr.json index 7b24f57672..4dff56d7e9 100644 --- a/src/renderer/src/i18n/translate/fr-fr.json +++ b/src/renderer/src/i18n/translate/fr-fr.json @@ -2643,6 +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", diff --git a/src/renderer/src/i18n/translate/ja-jp.json b/src/renderer/src/i18n/translate/ja-jp.json index e3b9fc77e5..090a1927cd 100644 --- a/src/renderer/src/i18n/translate/ja-jp.json +++ b/src/renderer/src/i18n/translate/ja-jp.json @@ -2643,6 +2643,7 @@ "lanyun": "LANYUN", "lmstudio": "LM Studio", "longcat": "トトロ", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope", diff --git a/src/renderer/src/i18n/translate/pt-pt.json b/src/renderer/src/i18n/translate/pt-pt.json index 10b5a12e16..50cc4fae03 100644 --- a/src/renderer/src/i18n/translate/pt-pt.json +++ b/src/renderer/src/i18n/translate/pt-pt.json @@ -2643,6 +2643,7 @@ "lanyun": "Lanyun Tecnologia", "lmstudio": "Estúdio LM", "longcat": "Totoro", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "Minimax", "mistral": "Mistral", "modelscope": "ModelScope MôDá", diff --git a/src/renderer/src/i18n/translate/ru-ru.json b/src/renderer/src/i18n/translate/ru-ru.json index 645fbaeeb0..8a6a781451 100644 --- a/src/renderer/src/i18n/translate/ru-ru.json +++ b/src/renderer/src/i18n/translate/ru-ru.json @@ -2643,6 +2643,7 @@ "lanyun": "LANYUN", "lmstudio": "LM Studio", "longcat": "Тоторо", + "mimo": "[to be translated]:Xiaomi MiMo", "minimax": "MiniMax", "mistral": "Mistral", "modelscope": "ModelScope", diff --git a/src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx b/src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx index 85f54fce87..049c14c0d1 100644 --- a/src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx +++ b/src/renderer/src/pages/settings/ProviderSettings/ProviderSetting.tsx @@ -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] diff --git a/src/renderer/src/store/migrate.ts b/src/renderer/src/store/migrate.ts index f085db2302..5fe1bc0901 100644 --- a/src/renderer/src/store/migrate.ts +++ b/src/renderer/src/store/migrate.ts @@ -3046,6 +3046,7 @@ const migrateConfig = { assistant.settings.reasoning_effort = 'default' } }) + addProvider(state, 'mimo') logger.info('migrate 187 success') return state } catch (error) { diff --git a/src/renderer/src/types/index.ts b/src/renderer/src/types/index.ts index 9ac3199f35..b5707f81fd 100644 --- a/src/renderer/src/types/index.ts +++ b/src/renderer/src/types/index.ts @@ -102,6 +102,7 @@ const ThinkModelTypes = [ 'doubao', 'doubao_no_auto', 'doubao_after_251015', + 'mimo', 'hunyuan', 'zhipu', 'perplexity', diff --git a/src/renderer/src/types/provider.ts b/src/renderer/src/types/provider.ts index 4e3e34760c..edab3a7305 100644 --- a/src/renderer/src/types/provider.ts +++ b/src/renderer/src/types/provider.ts @@ -189,7 +189,8 @@ export const SystemProviderIdSchema = z.enum([ 'huggingface', 'sophnet', 'gateway', - 'cerebras' + 'cerebras', + 'mimo' ]) export type SystemProviderId = z.infer @@ -258,7 +259,8 @@ export const SystemProviderIds = { longcat: 'longcat', huggingface: 'huggingface', gateway: 'gateway', - cerebras: 'cerebras' + cerebras: 'cerebras', + mimo: 'mimo' } as const satisfies Record type SystemProviderIdTypeMap = typeof SystemProviderIds