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2 Commits

Author SHA1 Message Date
GeorgeDong32
42ee8a68ce feat(markdown): add image export controls and hook into export logic 2025-10-24 17:39:11 +08:00
GeorgeDong32
d521a88d30 feat(export): add image export options to markdown settings 2025-10-24 17:39:11 +08:00
973 changed files with 11384 additions and 16925 deletions

3
.github/CODEOWNERS vendored
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@@ -1,5 +1,4 @@
/src/renderer/src/store/ @0xfullex
/src/renderer/src/databases/ @0xfullex
/src/main/services/ConfigManager.ts @0xfullex
/packages/shared/IpcChannel.ts @0xfullex
/src/main/ipc.ts @0xfullex
/src/main/ipc.ts @0xfullex

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@@ -1,4 +1,4 @@
name: 🐛 Bug Report
name: 🐛 Bug Report (English)
description: Create a report to help us improve
title: '[Bug]: '
labels: ['BUG']

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@@ -1,4 +1,4 @@
name: 💡 Feature Request
name: 💡 Feature Request (English)
description: Suggest an idea for this project
title: '[Feature]: '
labels: ['feature']

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@@ -1,4 +1,4 @@
name: 🤔 Other Questions
name: 🤔 Other Questions (English)
description: Submit questions that don't fit into bug reports or feature requests
title: '[Other]: '
body:

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@@ -3,18 +3,6 @@
1. Consider creating this PR as draft: https://github.com/CherryHQ/cherry-studio/blob/main/CONTRIBUTING.md
-->
<!--
⚠️ Important: Redux/IndexedDB Data-Changing Feature PRs Temporarily On Hold ⚠️
Please note: For our current development cycle, we are not accepting feature Pull Requests that introduce changes to Redux data models or IndexedDB schemas.
While we value your contributions, PRs of this nature will be blocked without merge. We welcome all other contributions (bug fixes, perf enhancements, docs, etc.). Thank you!
Once version 2.0.0 is released, we will resume reviewing feature PRs.
-->
### What this PR does
Before this PR:

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@@ -4,7 +4,6 @@ env:
TRANSLATION_API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
TRANSLATION_MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
TRANSLATION_BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
TRANSLATION_BASE_LOCALE: ${{ vars.AUTO_I18N_BASE_LOCALE || 'en-us'}}
on:
pull_request:
@@ -27,10 +26,9 @@ jobs:
ref: ${{ github.event.pull_request.head.ref }}
- name: 📦 Setting Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v5
with:
node-version: 22
package-manager-cache: false
node-version: 20
- name: 📦 Install dependencies in isolated directory
run: |

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@@ -5,7 +5,7 @@ on:
types: [opened]
schedule:
# Run every day at 8:30 Beijing Time (00:30 UTC)
- cron: "30 0 * * *"
- cron: '30 0 * * *'
workflow_dispatch:
jobs:
@@ -54,9 +54,9 @@ jobs:
- name: Setup Node.js
if: steps.check_time.outputs.should_delay == 'false'
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 22
node-version: '20'
- name: Process issue with Claude
if: steps.check_time.outputs.should_delay == 'false'
@@ -121,9 +121,9 @@ jobs:
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: 22
node-version: '20'
- name: Process pending issues with Claude
uses: anthropics/claude-code-action@main

View File

@@ -21,7 +21,7 @@ jobs:
contents: none
steps:
- name: Close needs-more-info issues
uses: actions/stale@v10
uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
only-labels: 'needs-more-info'
@@ -29,10 +29,8 @@ jobs:
days-before-close: 0 # Close immediately after stale
stale-issue-label: 'inactive'
close-issue-label: 'closed:no-response'
exempt-all-milestones: true
exempt-all-assignees: true
stale-issue-message: |
This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
It will be closed now due to lack of additional information.
该问题被标记为"需要更多信息"且已经 ${{ env.daysBeforeStale }} 天没有任何活动,将立即关闭。
@@ -42,14 +40,12 @@ jobs:
days-before-pr-close: -1
- name: Close inactive issues
uses: actions/stale@v10
uses: actions/stale@v9
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
days-before-stale: ${{ env.daysBeforeStale }}
days-before-close: ${{ env.daysBeforeClose }}
stale-issue-label: 'inactive'
exempt-all-milestones: true
exempt-all-assignees: true
stale-issue-message: |
This issue has been inactive for a prolonged period and will be closed automatically in ${{ env.daysBeforeClose }} days.
该问题已长时间处于闲置状态,${{ env.daysBeforeClose }} 天后将自动关闭。

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@@ -3,7 +3,7 @@ name: Nightly Build
on:
workflow_dispatch:
schedule:
- cron: "0 17 * * *" # 1:00 BJ Time
- cron: '0 17 * * *' # 1:00 BJ Time
permissions:
contents: write
@@ -56,9 +56,9 @@ jobs:
ref: main
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v5
with:
node-version: 22
node-version: 20
- name: macos-latest dependencies fix
if: matrix.os == 'macos-latest'
@@ -66,7 +66,7 @@ jobs:
brew install python-setuptools
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path
@@ -208,7 +208,7 @@ jobs:
echo "总计: $(find renamed-artifacts -type f | wc -l) 个文件"
- name: Upload artifacts
uses: actions/upload-artifact@v5
uses: actions/upload-artifact@v4
with:
name: cherry-studio-nightly-${{ steps.date.outputs.date }}-${{ matrix.os }}
path: renamed-artifacts/*

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@@ -24,12 +24,12 @@ jobs:
uses: actions/checkout@v5
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v5
with:
node-version: 22
node-version: 20
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path

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@@ -4,9 +4,9 @@ on:
workflow_dispatch:
inputs:
tag:
description: "Release tag (e.g. v1.0.0)"
description: 'Release tag (e.g. v1.0.0)'
required: true
default: "v1.0.0"
default: 'v1.0.0'
push:
tags:
- v*.*.*
@@ -47,9 +47,9 @@ jobs:
npm version "$VERSION" --no-git-tag-version --allow-same-version
- name: Install Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v5
with:
node-version: 22
node-version: 20
- name: macos-latest dependencies fix
if: matrix.os == 'macos-latest'
@@ -57,7 +57,7 @@ jobs:
brew install python-setuptools
- name: Install corepack
run: corepack enable && corepack prepare yarn@4.9.1 --activate
run: corepack enable && corepack prepare yarn@4.6.0 --activate
- name: Get yarn cache directory path
id: yarn-cache-dir-path
@@ -127,5 +127,5 @@ jobs:
allowUpdates: true
makeLatest: false
tag: ${{ steps.get-tag.outputs.tag }}
artifacts: "dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap"
artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap'
token: ${{ secrets.GITHUB_TOKEN }}

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@@ -140,7 +140,7 @@
"typescript/await-thenable": "warn",
// "typescript/ban-ts-comment": "error",
"typescript/no-array-constructor": "error",
"typescript/consistent-type-imports": "error",
// "typescript/consistent-type-imports": "error",
"typescript/no-array-delete": "warn",
"typescript/no-base-to-string": "warn",
"typescript/no-duplicate-enum-values": "error",

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@@ -0,0 +1,13 @@
diff --git a/dist/index.mjs b/dist/index.mjs
index 69ab1599c76801dc1167551b6fa283dded123466..f0af43bba7ad1196fe05338817e65b4ebda40955 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId?.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts

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@@ -1,26 +0,0 @@
diff --git a/dist/index.js b/dist/index.js
index 4cc66d83af1cef39f6447dc62e680251e05ddf9f..eb9819cb674c1808845ceb29936196c4bb355172 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -471,7 +471,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts
diff --git a/dist/index.mjs b/dist/index.mjs
index a032505ec54e132dc386dde001dc51f710f84c83..5efada51b9a8b56e3f01b35e734908ebe3c37043 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
// src/get-model-path.ts
function getModelPath(modelId) {
- return modelId.includes("/") ? modelId : `models/${modelId}`;
+ return modelId.includes("models/") ? modelId : `models/${modelId}`;
}
// src/google-generative-ai-options.ts

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@@ -1,131 +0,0 @@
diff --git a/dist/index.mjs b/dist/index.mjs
index b3f018730a93639aad7c203f15fb1aeb766c73f4..ade2a43d66e9184799d072153df61ef7be4ea110 100644
--- a/dist/index.mjs
+++ b/dist/index.mjs
@@ -296,7 +296,14 @@ var HuggingFaceResponsesLanguageModel = class {
metadata: huggingfaceOptions == null ? void 0 : huggingfaceOptions.metadata,
instructions: huggingfaceOptions == null ? void 0 : huggingfaceOptions.instructions,
...preparedTools && { tools: preparedTools },
- ...preparedToolChoice && { tool_choice: preparedToolChoice }
+ ...preparedToolChoice && { tool_choice: preparedToolChoice },
+ ...(huggingfaceOptions?.reasoningEffort != null && {
+ reasoning: {
+ ...(huggingfaceOptions?.reasoningEffort != null && {
+ effort: huggingfaceOptions.reasoningEffort,
+ }),
+ },
+ }),
};
return { args: baseArgs, warnings };
}
@@ -365,6 +372,20 @@ var HuggingFaceResponsesLanguageModel = class {
}
break;
}
+ case 'reasoning': {
+ for (const contentPart of part.content) {
+ content.push({
+ type: 'reasoning',
+ text: contentPart.text,
+ providerMetadata: {
+ huggingface: {
+ itemId: part.id,
+ },
+ },
+ });
+ }
+ break;
+ }
case "mcp_call": {
content.push({
type: "tool-call",
@@ -519,6 +540,11 @@ var HuggingFaceResponsesLanguageModel = class {
id: value.item.call_id,
toolName: value.item.name
});
+ } else if (value.item.type === 'reasoning') {
+ controller.enqueue({
+ type: 'reasoning-start',
+ id: value.item.id,
+ });
}
return;
}
@@ -570,6 +596,22 @@ var HuggingFaceResponsesLanguageModel = class {
});
return;
}
+ if (isReasoningDeltaChunk(value)) {
+ controller.enqueue({
+ type: 'reasoning-delta',
+ id: value.item_id,
+ delta: value.delta,
+ });
+ return;
+ }
+
+ if (isReasoningEndChunk(value)) {
+ controller.enqueue({
+ type: 'reasoning-end',
+ id: value.item_id,
+ });
+ return;
+ }
},
flush(controller) {
controller.enqueue({
@@ -593,7 +635,8 @@ var HuggingFaceResponsesLanguageModel = class {
var huggingfaceResponsesProviderOptionsSchema = z2.object({
metadata: z2.record(z2.string(), z2.string()).optional(),
instructions: z2.string().optional(),
- strictJsonSchema: z2.boolean().optional()
+ strictJsonSchema: z2.boolean().optional(),
+ reasoningEffort: z2.string().optional(),
});
var huggingfaceResponsesResponseSchema = z2.object({
id: z2.string(),
@@ -727,12 +770,31 @@ var responseCreatedChunkSchema = z2.object({
model: z2.string()
})
});
+var reasoningTextDeltaChunkSchema = z2.object({
+ type: z2.literal('response.reasoning_text.delta'),
+ item_id: z2.string(),
+ output_index: z2.number(),
+ content_index: z2.number(),
+ delta: z2.string(),
+ sequence_number: z2.number(),
+});
+
+var reasoningTextEndChunkSchema = z2.object({
+ type: z2.literal('response.reasoning_text.done'),
+ item_id: z2.string(),
+ output_index: z2.number(),
+ content_index: z2.number(),
+ text: z2.string(),
+ sequence_number: z2.number(),
+});
var huggingfaceResponsesChunkSchema = z2.union([
responseOutputItemAddedSchema,
responseOutputItemDoneSchema,
textDeltaChunkSchema,
responseCompletedChunkSchema,
responseCreatedChunkSchema,
+ reasoningTextDeltaChunkSchema,
+ reasoningTextEndChunkSchema,
z2.object({ type: z2.string() }).loose()
// fallback for unknown chunks
]);
@@ -751,6 +813,12 @@ function isResponseCompletedChunk(chunk) {
function isResponseCreatedChunk(chunk) {
return chunk.type === "response.created";
}
+function isReasoningDeltaChunk(chunk) {
+ return chunk.type === 'response.reasoning_text.delta';
+}
+function isReasoningEndChunk(chunk) {
+ return chunk.type === 'response.reasoning_text.done';
+}
// src/huggingface-provider.ts
function createHuggingFace(options = {}) {

View File

@@ -1,76 +0,0 @@
diff --git a/dist/index.js b/dist/index.js
index cc6652c4e7f32878a64a2614115bf7eeb3b7c890..76e989017549c89b45d633525efb1f318026d9b2 100644
--- a/dist/index.js
+++ b/dist/index.js
@@ -274,6 +274,7 @@ var openaiChatResponseSchema = (0, import_provider_utils3.lazyValidator)(
message: import_v42.z.object({
role: import_v42.z.literal("assistant").nullish(),
content: import_v42.z.string().nullish(),
+ reasoning_content: import_v42.z.string().nullish(),
tool_calls: import_v42.z.array(
import_v42.z.object({
id: import_v42.z.string().nullish(),
@@ -340,6 +341,7 @@ var openaiChatChunkSchema = (0, import_provider_utils3.lazyValidator)(
delta: import_v42.z.object({
role: import_v42.z.enum(["assistant"]).nullish(),
content: import_v42.z.string().nullish(),
+ reasoning_content: import_v42.z.string().nullish(),
tool_calls: import_v42.z.array(
import_v42.z.object({
index: import_v42.z.number(),
@@ -785,6 +787,14 @@ var OpenAIChatLanguageModel = class {
if (text != null && text.length > 0) {
content.push({ type: "text", text });
}
+ const reasoning =
+ choice.message.reasoning_content;
+ if (reasoning != null && reasoning.length > 0) {
+ content.push({
+ type: 'reasoning',
+ text: reasoning,
+ });
+ }
for (const toolCall of (_a = choice.message.tool_calls) != null ? _a : []) {
content.push({
type: "tool-call",
@@ -866,6 +876,7 @@ var OpenAIChatLanguageModel = class {
};
let isFirstChunk = true;
let isActiveText = false;
+ let isActiveReasoning = false;
const providerMetadata = { openai: {} };
return {
stream: response.pipeThrough(
@@ -920,6 +931,22 @@ var OpenAIChatLanguageModel = class {
return;
}
const delta = choice.delta;
+ const reasoningContent = delta.reasoning_content;
+ if (reasoningContent) {
+ if (!isActiveReasoning) {
+ controller.enqueue({
+ type: 'reasoning-start',
+ id: 'reasoning-0',
+ });
+ isActiveReasoning = true;
+ }
+
+ controller.enqueue({
+ type: 'reasoning-delta',
+ id: 'reasoning-0',
+ delta: reasoningContent,
+ });
+ }
if (delta.content != null) {
if (!isActiveText) {
controller.enqueue({ type: "text-start", id: "0" });
@@ -1032,6 +1059,9 @@ var OpenAIChatLanguageModel = class {
}
},
flush(controller) {
+ if (isActiveReasoning) {
+ controller.enqueue({ type: 'reasoning-end', id: 'reasoning-0' });
+ }
if (isActiveText) {
controller.enqueue({ type: "text-end", id: "0" });
}

View File

@@ -1,24 +1,24 @@
diff --git a/sdk.mjs b/sdk.mjs
index 10162e5b1624f8ce667768943347a6e41089ad2f..32568ae08946590e382270c88d85fba81187568e 100755
index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b478c738dd8 100644
--- a/sdk.mjs
+++ b/sdk.mjs
@@ -6213,7 +6213,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
@@ -6215,7 +6215,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
}
// ../src/transport/ProcessTransport.ts
-import { spawn } from "child_process";
+import { fork } from "child_process";
import { createInterface } from "readline";
// ../src/utils/fsOperations.ts
@@ -6487,14 +6487,11 @@ class ProcessTransport {
@@ -6473,14 +6473,11 @@ class ProcessTransport {
const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
throw new ReferenceError(errorMessage);
}
- const isNative = isNativeBinary(pathToClaudeCodeExecutable);
- const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
- const spawnArgs = isNative ? [...executableArgs, ...args] : [...executableArgs, pathToClaudeCodeExecutable, ...args];
- this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${spawnCommand} ${spawnArgs.join(" ")}` : `Spawning Claude Code process: ${spawnCommand} ${spawnArgs.join(" ")}`);
- const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
- this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
+ this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
- this.child = spawn(spawnCommand, spawnArgs, {

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@@ -0,0 +1,71 @@
diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
index 973b0d0e75aeaf8de579419af31b879b32975413..f23c7caa8b9dc8bd404132725346a4786f6b278b 100644
--- a/dist/utils/tiktoken.cjs
+++ b/dist/utils/tiktoken.cjs
@@ -1,25 +1,14 @@
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.encodingForModel = exports.getEncoding = void 0;
-const lite_1 = require("js-tiktoken/lite");
const async_caller_js_1 = require("./async_caller.cjs");
const cache = {};
const caller = /* #__PURE__ */ new async_caller_js_1.AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new lite_1.Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
exports.getEncoding = getEncoding;
async function encodingForModel(model) {
- return getEncoding((0, lite_1.getEncodingNameForModel)(model));
+ throw new Error("TikToken Not implemented");
}
exports.encodingForModel = encodingForModel;
diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
index 8e41ee6f00f2f9c7fa2c59fa2b2f4297634b97aa..aa5f314a6349ad0d1c5aea8631a56aad099176e0 100644
--- a/dist/utils/tiktoken.js
+++ b/dist/utils/tiktoken.js
@@ -1,20 +1,9 @@
-import { Tiktoken, getEncodingNameForModel, } from "js-tiktoken/lite";
import { AsyncCaller } from "./async_caller.js";
const cache = {};
const caller = /* #__PURE__ */ new AsyncCaller({});
export async function getEncoding(encoding) {
- if (!(encoding in cache)) {
- cache[encoding] = caller
- .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
- .then((res) => res.json())
- .then((data) => new Tiktoken(data))
- .catch((e) => {
- delete cache[encoding];
- throw e;
- });
- }
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
export async function encodingForModel(model) {
- return getEncoding(getEncodingNameForModel(model));
+ throw new Error("TikToken Not implemented");
}
diff --git a/package.json b/package.json
index 36072aecf700fca1bc49832a19be832eca726103..90b8922fba1c3d1b26f78477c891b07816d6238a 100644
--- a/package.json
+++ b/package.json
@@ -37,7 +37,6 @@
"ansi-styles": "^5.0.0",
"camelcase": "6",
"decamelize": "1.2.0",
- "js-tiktoken": "^1.0.12",
"langsmith": ">=0.2.8 <0.4.0",
"mustache": "^4.2.0",
"p-queue": "^6.6.2",

View File

@@ -1,68 +0,0 @@
diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
index c5b41f121d2e3d24c3a4969e31fa1acffdcad3b9..ec724489dcae79ee6c61acf2d4d84bd19daef036 100644
--- a/dist/utils/tiktoken.cjs
+++ b/dist/utils/tiktoken.cjs
@@ -1,6 +1,5 @@
const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
const require_utils_async_caller = require('./async_caller.cjs');
-const js_tiktoken_lite = require_rolldown_runtime.__toESM(require("js-tiktoken/lite"));
//#region src/utils/tiktoken.ts
var tiktoken_exports = {};
@@ -11,14 +10,10 @@ require_rolldown_runtime.__export(tiktoken_exports, {
const cache = {};
const caller = /* @__PURE__ */ new require_utils_async_caller.AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new js_tiktoken_lite.Tiktoken(data)).catch((e) => {
- delete cache[encoding];
- throw e;
- });
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
async function encodingForModel(model) {
- return getEncoding((0, js_tiktoken_lite.getEncodingNameForModel)(model));
+ throw new Error("TikToken Not implemented");
}
//#endregion
diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
index 641acca03cb92f04a6fa5c9c31f1880ce635572e..707389970ad957aa0ff20ef37fa8dd2875be737c 100644
--- a/dist/utils/tiktoken.js
+++ b/dist/utils/tiktoken.js
@@ -1,6 +1,5 @@
import { __export } from "../_virtual/rolldown_runtime.js";
import { AsyncCaller } from "./async_caller.js";
-import { Tiktoken, getEncodingNameForModel } from "js-tiktoken/lite";
//#region src/utils/tiktoken.ts
var tiktoken_exports = {};
@@ -11,14 +10,10 @@ __export(tiktoken_exports, {
const cache = {};
const caller = /* @__PURE__ */ new AsyncCaller({});
async function getEncoding(encoding) {
- if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new Tiktoken(data)).catch((e) => {
- delete cache[encoding];
- throw e;
- });
- return await cache[encoding];
+ throw new Error("TikToken Not implemented");
}
async function encodingForModel(model) {
- return getEncoding(getEncodingNameForModel(model));
+ throw new Error("TikToken Not implemented");
}
//#endregion
diff --git a/package.json b/package.json
index a24f8fc61de58526051999260f2ebee5f136354b..e885359e8966e7730c51772533ce37e01edb3046 100644
--- a/package.json
+++ b/package.json
@@ -20,7 +20,6 @@
"ansi-styles": "^5.0.0",
"camelcase": "6",
"decamelize": "1.2.0",
- "js-tiktoken": "^1.0.12",
"langsmith": "^0.3.64",
"mustache": "^4.2.0",
"p-queue": "^6.6.2",

View File

@@ -0,0 +1,19 @@
diff --git a/dist/embeddings.js b/dist/embeddings.js
index 1f8154be3e9c22442a915eb4b85fa6d2a21b0d0c..dc13ef4a30e6c282824a5357bcee9bd0ae222aab 100644
--- a/dist/embeddings.js
+++ b/dist/embeddings.js
@@ -214,10 +214,12 @@ export class OpenAIEmbeddings extends Embeddings {
* @returns Promise that resolves to an embedding for the document.
*/
async embedQuery(text) {
+ const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com')
+ const input = this.stripNewLines ? text.replace(/\n/g, ' ') : text
const params = {
model: this.model,
- input: this.stripNewLines ? text.replace(/\n/g, " ") : text,
- };
+ input: isBaiduCloud ? [input] : input
+ }
if (this.dimensions) {
params.dimensions = this.dimensions;
}

View File

@@ -1,17 +0,0 @@
diff --git a/dist/embeddings.js b/dist/embeddings.js
index 6f4b928d3e4717309382e1b5c2e31ab5bc6c5af0..bc79429c88a6d27d4997a2740c4d8ae0707f5991 100644
--- a/dist/embeddings.js
+++ b/dist/embeddings.js
@@ -94,9 +94,11 @@ var OpenAIEmbeddings = class extends Embeddings {
* @returns Promise that resolves to an embedding for the document.
*/
async embedQuery(text) {
+ const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com');
+ const input = this.stripNewLines ? text.replace(/\n/g, " ") : text
const params = {
model: this.model,
- input: this.stripNewLines ? text.replace(/\n/g, " ") : text
+ input: isBaiduCloud ? [input] : input
};
if (this.dimensions) params.dimensions = this.dimensions;
if (this.encodingFormat) params.encoding_format = this.encodingFormat;

View File

@@ -7,11 +7,11 @@ This file provides guidance to AI coding assistants when working with code in th
- **Keep it clear**: Write code that is easy to read, maintain, and explain.
- **Match the house style**: Reuse existing patterns, naming, and conventions.
- **Search smart**: Prefer `ast-grep` for semantic queries; fall back to `rg`/`grep` when needed.
- **Build with HeroUI**: Use HeroUI for every new UI component; never add `antd` or `styled-components`.
- **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
- **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
- **Always propose before executing**: Before making any changes, clearly explain your planned approach and wait for explicit user approval to ensure alignment and prevent unwanted modifications.
- **Write conventional commits with emoji**: Commit small, focused changes using emoji-prefixed Conventional Commit messages (e.g., `✨ feat:`, `🐛 fix:`, `♻️ refactor:`, `
📝 docs:`).
- **Seek review**: Ask a human developer to review substantial changes before merging.
- **Commit in rhythm**: Keep commits small, conventional, and emoji-tagged.
## Development Commands
@@ -40,6 +40,7 @@ This file provides guidance to AI coding assistants when working with code in th
- **Services** (`src/main/services/`): MCPService, KnowledgeService, WindowService, etc.
- **Build System**: Electron-Vite with experimental rolldown-vite, yarn workspaces.
- **State Management**: Redux Toolkit (`src/renderer/src/store/`) for predictable state.
- **UI Components**: HeroUI (`@heroui/*`) for all new UI elements.
### Logging
```typescript

View File

@@ -65,28 +65,7 @@ The Test Plan aims to provide users with a more stable application experience an
### Other Suggestions
- **Contact Developers**: Before submitting a PR, you can contact the developers first to discuss or get help.
## Important Contribution Guidelines & Focus Areas
Please review the following critical information before submitting your Pull Request:
### Temporary Restriction on Data-Changing Feature PRs 🚫
**Currently, we are NOT accepting feature Pull Requests that introduce changes to our Redux data models or IndexedDB schemas.**
Our core team is currently focused on significant architectural updates that involve these data structures. To ensure stability and focus during this period, contributions of this nature will be temporarily managed internally.
* **PRs that require changes to Redux state shape or IndexedDB schemas will be closed.**
* **This restriction is temporary and will be lifted with the release of `v2.0.0`.** You can track the progress of `v2.0.0` and its related discussions on issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162).
We highly encourage contributions for:
* Bug fixes 🐞
* Performance improvements 🚀
* Documentation updates 📚
* Features that **do not** alter Redux data models or IndexedDB schemas (e.g., UI enhancements, new components, minor refactors). ✨
We appreciate your understanding and continued support during this important development phase. Thank you!
- **Become a Core Developer**: If you contribute to the project consistently, congratulations, you can become a core developer and gain project membership status. Please check our [Membership Guide](https://github.com/CherryHQ/community/blob/main/docs/membership.en.md).
## Contact Us

View File

@@ -37,7 +37,7 @@
<p align="center">English | <a href="./docs/README.zh.md">中文</a> | <a href="https://cherry-ai.com">Official Site</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/en-us">Documents</a> | <a href="./docs/dev.md">Development</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">Feedback</a><br></p>
<div align="center">
[![][deepwiki-shield]][deepwiki-link]
[![][twitter-shield]][twitter-link]
[![][discord-shield]][discord-link]
@@ -45,7 +45,7 @@
</div>
<div align="center">
[![][github-release-shield]][github-release-link]
[![][github-nightly-shield]][github-nightly-link]
[![][github-contributors-shield]][github-contributors-link]
@@ -248,10 +248,10 @@ The Enterprise Edition addresses core challenges in team collaboration by centra
| Feature | Community Edition | Enterprise Edition |
| :---------------- | :----------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
| **Open Source** | ✅ Yes | ⭕️ Partially released to customers |
| **Open Source** | ✅ Yes | ⭕️ Partially released to customers |
| **Cost** | Free for Personal Use / Commercial License | Buyout / Subscription Fee |
| **Admin Backend** | — | ● Centralized **Model** Access<br>● **Employee** Management<br>● Shared **Knowledge Base**<br>● **Access** Control<br>● **Data** Backup |
| **Server** | — | ✅ Dedicated Private Deployment |
| **Server** | — | ✅ Dedicated Private Deployment |
## Get the Enterprise Edition

View File

@@ -21,11 +21,7 @@
"quoteStyle": "single"
}
},
"files": {
"ignoreUnknown": false,
"includes": ["**", "!**/.claude/**"],
"maxSize": 2097152
},
"files": { "ignoreUnknown": false },
"formatter": {
"attributePosition": "auto",
"bracketSameLine": false,

View File

@@ -69,28 +69,7 @@ git commit --signoff -m "Your commit message"
### 其他建议
- **联系开发者**:在提交 PR 之前,您可以先和开发者进行联系,共同探讨或者获取帮助。
## 重要贡献指南与关注点
在提交 Pull Request 之前,请务必阅读以下关键信息:
### 🚫 暂时限制涉及数据更改的功能性 PR
**目前,我们不接受涉及 Redux 数据模型或 IndexedDB schema 变更的功能性 Pull Request。**
我们的核心团队目前正专注于涉及这些数据结构的关键架构更新和基础工作。为确保在此期间的稳定性与专注,此类贡献将暂时由内部进行管理。
* **需要更改 Redux 状态结构或 IndexedDB schema 的 PR 将会被关闭。**
* **此限制是临时性的,并将在 `v2.0.0` 版本发布后解除。** 您可以通过 Issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162) 跟踪 `v2.0.0` 的进展及相关讨论。
我们非常鼓励以下类型的贡献:
* 错误修复 🐞
* 性能改进 🚀
* 文档更新 📚
* 不改变 Redux 数据模型或 IndexedDB schema 的功能例如UI 增强、新组件、小型重构)。✨
感谢您在此重要开发阶段的理解与持续支持。谢谢!
- **成为核心开发者**:如果您能够稳定为项目贡献,恭喜您可以成为项目核心开发者,获取到项目成员身份。请查看我们的[成员指南](https://github.com/CherryHQ/community/blob/main/membership.md)
## 联系我们

305
docs/EXPORT_IMAGES_PLAN.md Normal file
View File

@@ -0,0 +1,305 @@
# 对话图片导出功能设计方案
## 一、需求背景
随着多模态AI模型的普及用户在对话中使用图片的频率增加。当前的导出功能只处理文本内容图片被完全忽略需要增加图片导出能力。
## 二、现状分析
### 2.1 图片存储机制
当前系统中图片有两种存储方式:
1. **用户上传的图片**
- 存储位置:本地文件系统
- 访问方式:通过 `FileMetadata.path` 字段,使用 `file://` 协议
- 数据结构:`ImageMessageBlock.file`
2. **AI生成的图片**
- 存储位置内存中的Base64字符串
- 访问方式:`ImageMessageBlock.metadata.generateImageResponse.images` 数组
- 数据格式Base64编码的图片数据
### 2.2 现有导出功能
当前支持的导出格式:
- Markdown本地文件/指定路径)
- Word文档.docx
- Notion需要API配置
- 语雀需要API配置
- Obsidian带弹窗配置
- Joplin需要API配置
- 思源笔记需要API配置
- 笔记工作区
- 纯文本
- 图片截图
### 2.3 导出菜单问题
1. **设置分散**:导出相关设置分布在多个地方
2. **每次导出可能需要不同配置**:如是否包含推理内容、是否包含引用等
3. **缺乏统一的导出界面**除Obsidian外其他格式直接执行导出
## 三、解决方案
### 3.1 第一阶段:图片导出功能实现
#### 3.1.1 导出模式设计
提供两种图片导出模式供用户选择:
**模式1Base64嵌入模式**
```markdown
![图片描述](data:image/png;base64,iVBORw0KGg...)
```
- 优点:单文件、便于分享、保证完整性
- 缺点:文件体积大、部分编辑器不支持、性能较差
**模式2文件夹模式**
```
导出结构:
conversation_2024-01-21/
├── conversation.md
└── images/
├── user_upload_1.png
├── ai_generated_1.png
└── ...
```
Markdown中使用相对路径
```markdown
![图片描述](./images/user_upload_1.png)
```
- 优点:文件体积小、兼容性好、性能优秀
- 缺点:需要管理多个文件、分享需打包
#### 3.1.2 核心功能实现
1. **新增图片处理工具函数** (`utils/export.ts`)
```typescript
// 处理消息中的所有图片块
export async function processImageBlocks(
message: Message,
mode: 'base64' | 'folder',
outputDir?: string
): Promise<ImageExportResult[]>
// 将file://协议的图片转换为Base64
export async function convertFileToBase64(filePath: string): Promise<string>
// 保存图片到指定文件夹
export async function saveImageToFolder(
image: string | Buffer,
outputDir: string,
fileName: string
): Promise<string>
// 在Markdown中插入图片引用
export function insertImageIntoMarkdown(
markdown: string,
images: ImageExportResult[]
): string
```
2. **更新现有导出函数**
- `messageToMarkdown()`: 增加图片处理参数
- `topicToMarkdown()`: 批量处理话题中的图片
- `exportTopicAsMarkdown()`: 支持图片导出选项
3. **图片元数据保留**
- AI生成图片保存prompt信息
- 用户上传图片:保留原始文件名
- 添加图片索引和时间戳
### 3.2 第二阶段:统一导出弹窗(后续实施)
#### 3.2.1 弹窗设计
创建统一的导出配置弹窗 `UnifiedExportDialog`
```typescript
interface ExportDialogProps {
// 导出内容
content: {
message?: Message
messages?: Message[]
topic?: Topic
rawContent?: string
}
// 导出格式
format: ExportFormat
// 通用配置
options: {
includeReasoning?: boolean // 包含推理内容
excludeCitations?: boolean // 排除引用
imageExportMode?: 'base64' | 'folder' | 'none' // 图片导出模式
imageQuality?: number // 图片质量0-100
maxImageSize?: number // 最大图片尺寸
}
// 格式特定配置
formatOptions?: {
// Markdown特定
markdownPath?: string
// Notion特定
notionDatabase?: string
notionPageName?: string
// Obsidian特定
obsidianVault?: string
obsidianFolder?: string
processingMethod?: string
// 其他格式配置...
}
}
```
#### 3.2.2 交互流程
1. 用户点击导出按钮
2. 弹出统一导出弹窗
3. 用户选择导出格式
4. 根据格式显示相应配置选项
5. 用户调整配置
6. 点击确认执行导出
#### 3.2.3 优势
1. **配置集中管理**:所有导出配置在一个界面完成
2. **动态配置**:每次导出可以调整不同设置
3. **用户体验统一**:所有格式使用相同的交互模式
4. **易于扩展**:新增导出格式只需添加配置项
## 四、实施计划
### Phase 1: 基础图片导出(本次实施)
- [x] 创建设计文档
- [ ] 实现图片处理工具函数
- [ ] 更新Markdown导出支持图片
- [ ] 添加图片导出模式设置
- [ ] 测试不同场景
### Phase 2: 扩展格式支持
- [ ] Word文档图片嵌入
- [ ] Obsidian图片处理
- [ ] Joplin图片上传
- [ ] 思源笔记图片支持
### Phase 3: 统一导出弹窗
- [ ] 设计弹窗UI组件
- [ ] 实现配置管理逻辑
- [ ] 迁移现有导出功能
- [ ] 添加配置持久化
### Phase 4: 高级功能
- [ ] 图片压缩优化
- [ ] 批量导出进度显示
- [ ] 导出历史记录
- [ ] 导出模板系统
## 五、技术细节
### 5.1 图片格式转换
```typescript
// Base64转换示例
async function imageToBase64(imagePath: string): Promise<string> {
if (imagePath.startsWith('file://')) {
const actualPath = imagePath.slice(7)
const buffer = await fs.readFile(actualPath)
const mimeType = getMimeType(actualPath)
return `data:${mimeType};base64,${buffer.toString('base64')}`
}
return imagePath // 已经是Base64
}
```
### 5.2 文件夹结构生成
```typescript
async function createExportFolder(topicName: string): Promise<string> {
const timestamp = dayjs().format('YYYY-MM-DD-HH-mm-ss')
const folderName = `${sanitizeFileName(topicName)}_${timestamp}`
const exportPath = path.join(getExportDir(), folderName)
await fs.mkdir(path.join(exportPath, 'images'), { recursive: true })
return exportPath
}
```
### 5.3 Markdown图片引用更新
```typescript
function updateMarkdownImages(
markdown: string,
imageMap: Map<string, string>
): string {
let updatedMarkdown = markdown
for (const [originalPath, newPath] of imageMap) {
// 替换图片引用
const regex = new RegExp(`!\\[([^\\]]*)\\]\\(${escapeRegex(originalPath)}\\)`, 'g')
updatedMarkdown = updatedMarkdown.replace(
regex,
`![$1](${newPath})`
)
}
return updatedMarkdown
}
```
## 六、注意事项
1. **性能考虑**
- 大量图片时使用异步处理
- 提供进度反馈
- 实现取消操作
2. **兼容性**
- 检测目标应用对图片格式的支持
- 提供降级方案
3. **安全性**
- 验证文件路径合法性
- 限制图片大小
- 清理临时文件
4. **用户体验**
- 清晰的配置说明
- 合理的默认值
- 错误提示友好
## 七、后续优化
1. **Notion图片支持**(需要调研)
- 研究Notion API的图片上传能力
- 评估 `@notionhq/client` 库的图片处理功能
- 可能需要先上传到图床再引用
2. **智能压缩**
- 根据图片内容自动选择压缩算法
- 保持图片质量的同时减小体积
3. **批量导出**
- 支持多个话题同时导出
- 生成导出报告
4. **云存储集成**
- 支持直接上传到云存储
- 生成分享链接
## 八、参考资料
- [Notion API Documentation](https://developers.notion.com/)
- [Obsidian URI Protocol](https://help.obsidian.md/Extending+Obsidian/Obsidian+URI)
- [Joplin Web Clipper API](https://joplinapp.org/api/references/rest_api/)
- [思源笔记 API](https://github.com/siyuan-note/siyuan/blob/master/API.md)
---
*文档创建日期2025-01-21*
*最后更新2025-01-21*

View File

@@ -18,13 +18,13 @@ yarn
### Setup Node.js
Download and install [Node.js v22.x.x](https://nodejs.org/en/download)
Download and install [Node.js v20.x.x](https://nodejs.org/en/download)
### Setup Yarn
```bash
corepack enable
corepack prepare yarn@4.9.1 --activate
corepack prepare yarn@4.6.0 --activate
```
### Install Dependencies

View File

@@ -21,8 +21,6 @@ files:
- "**/*"
- "!**/{.vscode,.yarn,.yarn-lock,.github,.cursorrules,.prettierrc}"
- "!electron.vite.config.{js,ts,mjs,cjs}}"
- "!.*"
- "!components.json"
- "!**/{.eslintignore,.eslintrc.js,.eslintrc.json,.eslintcache,root.eslint.config.js,eslint.config.js,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,eslint.config.mjs,dev-app-update.yml,CHANGELOG.md,README.md,biome.jsonc}"
- "!**/{.env,.env.*,.npmrc,pnpm-lock.yaml}"
- "!**/{tsconfig.json,tsconfig.tsbuildinfo,tsconfig.node.json,tsconfig.web.json}"
@@ -66,12 +64,6 @@ asarUnpack:
- resources/**
- "**/*.{metal,exp,lib}"
- "node_modules/@img/sharp-libvips-*/**"
# copy from node_modules/claude-code-plugins/plugins to resources/data/claude-code-pluginso
extraResources:
- from: "./node_modules/claude-code-plugins/plugins/"
to: "claude-code-plugins"
win:
executableName: Cherry Studio
artifactName: ${productName}-${version}-${arch}-setup.${ext}
@@ -135,128 +127,60 @@ artifactBuildCompleted: scripts/artifact-build-completed.js
releaseInfo:
releaseNotes: |
<!--LANG:en-->
What's New in v1.7.0-beta.3
What's New in v1.7.0-beta.2
New Features:
- Enhanced Tool Permission System: Real-time tool approval interface with improved UX
- Plugin Management System: Support for Claude Agent plugins (agents, commands, skills)
- Skill Tool: Add skill execution capabilities for agents
- Mobile App Data Restore: Support restoring data to mobile applications
- OpenMinerU Preprocessor: Knowledge base now supports open-source MinerU for document processing
- HuggingFace Provider: Added HuggingFace as AI provider
- Claude Haiku 4.5: Support for the latest Claude Haiku 4.5 model
- Ling Series Models: Added support for Ling-1T and related models
- Intel OVMS Painting: New painting provider using Intel OpenVINO Model Server
- Automatic Update Checks: Implement periodic update checking with configurable intervals
- HuggingChat Mini App: New mini app for HuggingChat integration
- Session Settings: Manage session-specific settings and model configurations independently
- Notes Full-Text Search: Search across all notes with match highlighting
- Built-in DiDi MCP Server: Integration with DiDi ride-hailing services (China only)
- Intel OV OCR: Hardware-accelerated OCR using Intel NPU
- Auto-start API Server: Automatically starts when agents exist
Improvements:
- Agent Creation: New agents are now automatically activated upon creation
- Lazy Loading: Optimize page load performance with route lazy loading
- UI Enhancements: Improved agent item styling and layout consistency
- Navigation: Better navbar layout for fullscreen mode on macOS
- Settings Tab: Enhanced context slider consistency
- Backup Manager: Unified footer layout for local and S3 backup managers
- Menu System: Enhanced application menu with improved help section
- Proxy Rules: Comprehensive proxy bypass rule matching
- German Language: Added German language support
- MCP Confirmation: Added confirmation modal when activating protocol-installed MCP servers
- Translation: Enhanced translation script with concurrency and validation
- Electron & Vite: Updated to Electron 38 and Vite 4.0.1
- QR Code Generation: Optimized performance for phone LAN export
- Enterprise Settings: Added enterprise section in About settings
- Assistant/Agent Popup: Enhanced UI for adding assistants and agents
Claude Code Tool Improvements:
- GlobTool: Now counts lines instead of files in output for better clarity
- ReadTool: Automatically removes system reminder tags from output
- TodoWriteTool: Improved rendering behavior
- Environment Variables: Updated model-related environment variable names
- Agent model selection now requires explicit user choice
- Added Mistral AI provider support
- Added NewAPI generic provider support
- Improved navbar layout consistency across different modes
- Enhanced chat component responsiveness
- Better code block display on small screens
- Updated OVMS to 2025.3 official release
- Added Greek language support
Bug Fixes:
- Fixed session model not being used when sending messages
- Fixed tool approval UI and shared workspace plugin inconsistencies
- Fixed API server readiness notification to renderer
- Fixed grouped items not respecting saved tag order
- Fixed assistant/agent activation when creating new ones
- Fixed Dashscope Anthropic API host and migrated old configs
- Fixed Qwen3 thinking mode control for Ollama
- Fixed disappeared MCP button
- Fixed create assistant causing blank screen
- Fixed up-down button visibility in some cases
- Fixed hooks preventing save on composing enter key
- Fixed Azure GPT-image-1 and OpenRouter Gemini-image
- Fixed Silicon reasoning issues
- Fixed topic branch incomplete copy with two-pass ID mapping
- Fixed deep research model search context restrictions
- Fixed model capability checking logic
- Fixed reranker API error response capture
- Fixed right-click paste file content into inputbar
- Fixed minimax-m2 support in aiCore
- Fixed Azure embedding issues
- Fixed agent edit modal loading race condition
- Fixed debounced save cancellation on file path update
- Fixed GitHub Copilot gpt-5-codex streaming issues
- Fixed assistant creation failures
- Fixed translate auto-copy functionality
- Fixed miniapps external link opening
- Fixed message layout and overflow issues
- Fixed API key parsing to preserve spaces
- Fixed agent display in different navbar layouts
<!--LANG:zh-CN-->
v1.7.0-beta.3 新特性
v1.7.0-beta.2 新特性
新功能:
- 增强工具权限系统:实时工具审批界面,改进用户体验
- 插件管理系统:支持 Claude Agent 插件agents、commands、skills
- 技能工具:为 Agent 添加技能执行能力
- 移动应用数据恢复:支持将数据恢复到移动应用程序
- OpenMinerU 预处理器:知识库现支持使用开源 MinerU 处理文档
- HuggingFace 提供商:添加 HuggingFace 作为 AI 提供商
- Claude Haiku 4.5:支持最新的 Claude Haiku 4.5 模型
- Ling 系列模型:添加 Ling-1T 及相关模型支持
- Intel OVMS 绘图:使用 Intel OpenVINO 模型服务器的新绘图提供商
- 自动更新检查:实现可配置间隔的定期更新检查
- HuggingChat 小程序:新增 HuggingChat 集成小程序
- 会话设置:独立管理会话特定的设置和模型配置
- 笔记全文搜索:跨所有笔记搜索并高亮匹配内容
- 内置滴滴 MCP 服务器:集成滴滴打车服务(仅限中国地区)
- Intel OV OCR使用 Intel NPU 的硬件加速 OCR
- 自动启动 API 服务器:当存在 Agent 时自动启动
改进:
- Agent 创建:新创建的 Agent 现在会自动激活
- 懒加载:通过路由懒加载优化页面加载性能
- UI 增强:改进 Agent 项目样式和布局一致性
- 导航:改进 macOS 全屏模式下的导航栏布局
- 设置选项卡:增强上下文滑块一致性
- 备份管理器:统一本地和 S3 备份管理器的页脚布局
- 菜单系统:增强应用菜单,改进帮助部分
- 代理规则:全面的代理绕过规则匹配
- 德语支持:添加德语语言支持
- MCP 确认:添加激活协议安装的 MCP 服务器时的确认模态框
- 翻译:增强翻译脚本的并发和验证功能
- Electron & Vite更新至 Electron 38 和 Vite 4.0.1
- 二维码生成:优化手机局域网导出性能
- 企业设置:在关于设置中添加企业部分
- 助手/Agent 弹窗:增强添加助手和 Agent 的界面
Claude Code 工具改进:
- GlobTool现在计算行数而不是文件数提供更清晰的输出
- ReadTool自动从输出中移除系统提醒标签
- TodoWriteTool改进渲染行为
- 环境变量:更新模型相关的环境变量名称
- Agent 模型选择现在需要用户显式选择
- 添加 Mistral AI 提供商支持
- 添加 NewAPI 通用提供商支持
- 改进不同模式下的导航栏布局一致性
- 增强聊天组件响应式设计
- 优化小屏幕代码块显示
- 更新 OVMS 至 2025.3 正式版
- 添加希腊语支持
问题修复:
- 修复发送消息时未使用会话模型
- 修复工具审批 UI 和共享工作区插件不一致
- 修复 API 服务器就绪通知到渲染器
- 修复分组项目不遵守已保存标签顺序
- 修复创建新的助手/Agent 时的激活问题
- 修复 Dashscope Anthropic API 主机并迁移旧配置
- 修复 Ollama 的 Qwen3 思考模式控制
- 修复 MCP 按钮消失
- 修复创建助手导致空白屏幕
- 修复某些情况下上下按钮可见性
- 修复钩子在输入法输入时阻止保存
- 修复 Azure GPT-image-1 和 OpenRouter Gemini-image
- 修复 Silicon 推理问题
- 修复主题分支不完整复制,采用两阶段 ID 映射
- 修复深度研究模型搜索上下文限制
- 修复模型能力检查逻辑
- 修复 reranker API 错误响应捕获
- 修复右键粘贴文件内容到输入栏
- 修复 aiCore 中的 minimax-m2 支持
- 修复 Azure embedding 问题
- 修复 Agent 编辑模态框加载竞态条件
- 修复文件路径更新时防抖保存取消问题
- 修复 GitHub Copilot gpt-5-codex 流式传输问题
- 修复助手创建失败
- 修复翻译自动复制功能
- 修复小程序外部链接打开
- 修复消息布局和溢出问题
- 修复 API 密钥解析以保留空格
- 修复不同导航栏布局中的 Agent 显示
<!--LANG:END-->

View File

@@ -1,6 +1,6 @@
{
"name": "CherryStudio",
"version": "1.7.0-beta.3",
"version": "1.7.0-beta.2",
"private": true,
"description": "A powerful AI assistant for producer.",
"main": "./out/main/index.js",
@@ -78,25 +78,20 @@
"release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core npm publish --access public"
},
"dependencies": {
"@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.25#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.25-08bbabb5d3.patch",
"@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.1#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch",
"@libsql/client": "0.14.0",
"@libsql/win32-x64-msvc": "^0.4.7",
"@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
"@paymoapp/electron-shutdown-handler": "^1.1.2",
"@strongtz/win32-arm64-msvc": "^0.4.7",
"express": "^5.1.0",
"font-list": "^2.0.0",
"graceful-fs": "^4.2.11",
"gray-matter": "^4.0.3",
"js-yaml": "^4.1.0",
"jsdom": "26.1.0",
"node-stream-zip": "^1.15.0",
"officeparser": "^4.2.0",
"os-proxy-config": "^1.1.2",
"qrcode.react": "^4.2.0",
"selection-hook": "^1.0.12",
"sharp": "^0.34.3",
"socket.io": "^4.8.1",
"swagger-jsdoc": "^6.2.8",
"swagger-ui-express": "^5.0.1",
"tesseract.js": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
@@ -106,17 +101,16 @@
"@agentic/exa": "^7.3.3",
"@agentic/searxng": "^7.3.3",
"@agentic/tavily": "^7.3.3",
"@ai-sdk/amazon-bedrock": "^3.0.42",
"@ai-sdk/google-vertex": "^3.0.48",
"@ai-sdk/huggingface": "patch:@ai-sdk/huggingface@npm%3A0.0.4#~/.yarn/patches/@ai-sdk-huggingface-npm-0.0.4-8080836bc1.patch",
"@ai-sdk/amazon-bedrock": "^3.0.35",
"@ai-sdk/google-vertex": "^3.0.40",
"@ai-sdk/mistral": "^2.0.19",
"@ai-sdk/perplexity": "^2.0.13",
"@ant-design/v5-patch-for-react-19": "^1.0.3",
"@anthropic-ai/sdk": "^0.41.0",
"@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
"@aws-sdk/client-bedrock": "^3.910.0",
"@aws-sdk/client-bedrock-runtime": "^3.910.0",
"@aws-sdk/client-s3": "^3.910.0",
"@aws-sdk/client-bedrock": "^3.840.0",
"@aws-sdk/client-bedrock-runtime": "^3.840.0",
"@aws-sdk/client-s3": "^3.840.0",
"@biomejs/biome": "2.2.4",
"@cherrystudio/ai-core": "workspace:^1.0.0-alpha.18",
"@cherrystudio/embedjs": "^0.1.31",
@@ -147,15 +141,14 @@
"@eslint/js": "^9.22.0",
"@google/genai": "patch:@google/genai@npm%3A1.0.1#~/.yarn/patches/@google-genai-npm-1.0.1-e26f0f9af7.patch",
"@hello-pangea/dnd": "^18.0.1",
"@heroui/react": "^2.8.3",
"@kangfenmao/keyv-storage": "^0.1.0",
"@langchain/community": "^1.0.0",
"@langchain/core": "patch:@langchain/core@npm%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
"@langchain/openai": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
"@langchain/community": "^0.3.50",
"@mistralai/mistralai": "^1.7.5",
"@modelcontextprotocol/sdk": "^1.17.5",
"@mozilla/readability": "^0.6.0",
"@notionhq/client": "^2.2.15",
"@openrouter/ai-sdk-provider": "^1.2.0",
"@openrouter/ai-sdk-provider": "^1.1.2",
"@opentelemetry/api": "^1.9.0",
"@opentelemetry/core": "2.0.0",
"@opentelemetry/exporter-trace-otlp-http": "^0.200.0",
@@ -201,7 +194,6 @@
"@types/fs-extra": "^11",
"@types/he": "^1",
"@types/html-to-text": "^9",
"@types/js-yaml": "^4.0.9",
"@types/lodash": "^4.17.5",
"@types/markdown-it": "^14",
"@types/md5": "^2.3.5",
@@ -231,7 +223,7 @@
"@viz-js/lang-dot": "^1.0.5",
"@viz-js/viz": "^3.14.0",
"@xyflow/react": "^12.4.4",
"ai": "^5.0.76",
"ai": "^5.0.68",
"antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
"archiver": "^7.0.1",
"async-mutex": "^0.5.0",
@@ -241,7 +233,6 @@
"check-disk-space": "3.4.0",
"cheerio": "^1.1.2",
"chokidar": "^4.0.3",
"claude-code-plugins": "1.0.1",
"cli-progress": "^3.12.0",
"clsx": "^2.1.1",
"code-inspector-plugin": "^0.20.14",
@@ -348,7 +339,6 @@
"striptags": "^3.2.0",
"styled-components": "^6.1.11",
"swr": "^2.3.6",
"tailwind-merge": "^3.3.1",
"tailwindcss": "^4.1.13",
"tar": "^7.4.3",
"tiny-pinyin": "^1.3.2",
@@ -374,11 +364,12 @@
"zod": "^4.1.5"
},
"resolutions": {
"@smithy/types": "4.7.1",
"@codemirror/language": "6.11.3",
"@codemirror/lint": "6.8.5",
"@codemirror/view": "6.38.1",
"@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
"@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch",
"@langchain/openai@npm:^0.3.16": "patch:@langchain/openai@npm%3A0.3.16#~/.yarn/patches/@langchain-openai-npm-0.3.16-e525b59526.patch",
"@langchain/openai@npm:>=0.1.0 <0.4.0": "patch:@langchain/openai@npm%3A0.3.16#~/.yarn/patches/@langchain-openai-npm-0.3.16-e525b59526.patch",
"app-builder-lib@npm:26.0.13": "patch:app-builder-lib@npm%3A26.0.13#~/.yarn/patches/app-builder-lib-npm-26.0.13-a064c9e1d0.patch",
"app-builder-lib@npm:26.0.15": "patch:app-builder-lib@npm%3A26.0.15#~/.yarn/patches/app-builder-lib-npm-26.0.15-360e5b0476.patch",
"atomically@npm:^1.7.0": "patch:atomically@npm%3A1.7.0#~/.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch",
@@ -394,18 +385,13 @@
"undici": "6.21.2",
"vite": "npm:rolldown-vite@7.1.5",
"tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
"@ai-sdk/google@npm:2.0.23": "patch:@ai-sdk/google@npm%3A2.0.23#~/.yarn/patches/@ai-sdk-google-npm-2.0.23-81682e07b0.patch",
"@ai-sdk/openai@npm:^2.0.52": "patch:@ai-sdk/openai@npm%3A2.0.52#~/.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch",
"@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch",
"@img/sharp-darwin-arm64": "0.34.3",
"@img/sharp-darwin-x64": "0.34.3",
"@img/sharp-linux-arm": "0.34.3",
"@img/sharp-linux-arm64": "0.34.3",
"@img/sharp-linux-x64": "0.34.3",
"@img/sharp-win32-x64": "0.34.3",
"openai@npm:5.12.2": "npm:@cherrystudio/openai@6.5.0",
"@langchain/openai@npm:>=0.1.0 <0.6.0": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
"@langchain/openai@npm:^0.3.16": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
"@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"
"@img/sharp-win32-x64": "0.34.3"
},
"packageManager": "yarn@4.9.1",
"lint-staged": {

View File

@@ -36,10 +36,10 @@
"ai": "^5.0.26"
},
"dependencies": {
"@ai-sdk/anthropic": "^2.0.32",
"@ai-sdk/azure": "^2.0.53",
"@ai-sdk/anthropic": "^2.0.27",
"@ai-sdk/azure": "^2.0.49",
"@ai-sdk/deepseek": "^1.0.23",
"@ai-sdk/openai": "patch:@ai-sdk/openai@npm%3A2.0.52#~/.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch",
"@ai-sdk/openai": "^2.0.48",
"@ai-sdk/openai-compatible": "^1.0.22",
"@ai-sdk/provider": "^2.0.0",
"@ai-sdk/provider-utils": "^3.0.12",

View File

@@ -2,7 +2,7 @@
* 中间件管理器
* 专注于 AI SDK 中间件的管理,与插件系统分离
*/
import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
/**
* 创建中间件列表

View File

@@ -1,7 +1,7 @@
/**
* 中间件系统类型定义
*/
import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
/**
* 具名中间件接口

View File

@@ -2,7 +2,7 @@
* 模型包装工具函数
* 用于将中间件应用到LanguageModel上
*/
import type { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapLanguageModel } from 'ai'
/**

View File

@@ -5,7 +5,7 @@
* 集成了来自 ModelCreator 的特殊处理逻辑
*/
import type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import { wrapModelWithMiddlewares } from '../middleware/wrapper'
import { DEFAULT_SEPARATOR, globalRegistryManagement } from '../providers/RegistryManagement'

View File

@@ -1,7 +1,7 @@
/**
* Creation 模块类型定义
*/
import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
import type { ProviderId, ProviderSettingsMap } from '../providers/types'

View File

@@ -1,4 +1,4 @@
import type { ExtractProviderOptions, ProviderOptionsMap, TypedProviderOptions } from './types'
import { ExtractProviderOptions, ProviderOptionsMap, TypedProviderOptions } from './types'
/**
* 创建特定供应商的选项

View File

@@ -10,7 +10,7 @@ import type { AiRequestContext } from '../../types'
import { StreamEventManager } from './StreamEventManager'
import { type TagConfig, TagExtractor } from './tagExtraction'
import { ToolExecutor } from './ToolExecutor'
import type { PromptToolUseConfig, ToolUseResult } from './type'
import { PromptToolUseConfig, ToolUseResult } from './type'
/**
* 工具使用标签配置

View File

@@ -1,6 +1,6 @@
import type { ToolSet } from 'ai'
import { ToolSet } from 'ai'
import type { AiRequestContext } from '../..'
import { AiRequestContext } from '../..'
/**
* 解析结果类型

View File

@@ -1,11 +1,10 @@
import type { anthropic } from '@ai-sdk/anthropic'
import type { google } from '@ai-sdk/google'
import type { openai } from '@ai-sdk/openai'
import type { InferToolInput, InferToolOutput } from 'ai'
import { type Tool } from 'ai'
import { anthropic } from '@ai-sdk/anthropic'
import { google } from '@ai-sdk/google'
import { openai } from '@ai-sdk/openai'
import { InferToolInput, InferToolOutput, type Tool } from 'ai'
import type { ProviderOptionsMap } from '../../../options/types'
import type { OpenRouterSearchConfig } from './openrouter'
import { ProviderOptionsMap } from '../../../options/types'
import { OpenRouterSearchConfig } from './openrouter'
/**
* 从 AI SDK 的工具函数中提取参数类型,以确保类型安全。

View File

@@ -9,8 +9,7 @@ import { openai } from '@ai-sdk/openai'
import { createOpenRouterOptions, createXaiOptions, mergeProviderOptions } from '../../../options'
import { definePlugin } from '../../'
import type { AiRequestContext } from '../../types'
import type { WebSearchPluginConfig } from './helper'
import { DEFAULT_WEB_SEARCH_CONFIG } from './helper'
import { DEFAULT_WEB_SEARCH_CONFIG, WebSearchPluginConfig } from './helper'
/**
* 网络搜索插件

View File

@@ -1,4 +1,4 @@
import type { AiPlugin, AiRequestContext } from './types'
import { AiPlugin, AiRequestContext } from './types'
/**
* 插件管理器

View File

@@ -5,7 +5,7 @@
* 例如: aihubmix:anthropic:claude-3.5-sonnet
*/
import type { ProviderV2 } from '@ai-sdk/provider'
import { ProviderV2 } from '@ai-sdk/provider'
import { customProvider } from 'ai'
import { globalRegistryManagement } from './RegistryManagement'

View File

@@ -4,7 +4,7 @@
* 基于 AI SDK 原生的 createProviderRegistry
*/
import type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
import { createProviderRegistry, type ProviderRegistryProvider } from 'ai'
type PROVIDERS = Record<string, ProviderV2>

View File

@@ -7,14 +7,12 @@ import { createAzure } from '@ai-sdk/azure'
import { type AzureOpenAIProviderSettings } from '@ai-sdk/azure'
import { createDeepSeek } from '@ai-sdk/deepseek'
import { createGoogleGenerativeAI } from '@ai-sdk/google'
import { createHuggingFace } from '@ai-sdk/huggingface'
import { createOpenAI, type OpenAIProviderSettings } from '@ai-sdk/openai'
import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
import type { LanguageModelV2 } from '@ai-sdk/provider'
import { LanguageModelV2 } from '@ai-sdk/provider'
import { createXai } from '@ai-sdk/xai'
import { createOpenRouter } from '@openrouter/ai-sdk-provider'
import type { Provider } from 'ai'
import { customProvider } from 'ai'
import { customProvider, Provider } from 'ai'
import * as z from 'zod'
/**
@@ -30,8 +28,7 @@ export const baseProviderIds = [
'azure',
'azure-responses',
'deepseek',
'openrouter',
'huggingface'
'openrouter'
] as const
/**
@@ -135,12 +132,6 @@ export const baseProviders = [
name: 'OpenRouter',
creator: createOpenRouter,
supportsImageGeneration: true
},
{
id: 'huggingface',
name: 'HuggingFace',
creator: createHuggingFace,
supportsImageGeneration: true
}
] as const satisfies BaseProvider[]

View File

@@ -4,7 +4,7 @@ import { type DeepSeekProviderSettings } from '@ai-sdk/deepseek'
import { type GoogleGenerativeAIProviderSettings } from '@ai-sdk/google'
import { type OpenAIProviderSettings } from '@ai-sdk/openai'
import { type OpenAICompatibleProviderSettings } from '@ai-sdk/openai-compatible'
import type {
import {
EmbeddingModelV2 as EmbeddingModel,
ImageModelV2 as ImageModel,
LanguageModelV2 as LanguageModel,

View File

@@ -1,4 +1,4 @@
import type { ImageModelV2 } from '@ai-sdk/provider'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage as aiGenerateImage, NoImageGeneratedError } from 'ai'
import { beforeEach, describe, expect, it, vi } from 'vitest'

View File

@@ -2,12 +2,12 @@
* 运行时执行器
* 专注于插件化的AI调用处理
*/
import type { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import type { LanguageModel } from 'ai'
import { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
import {
experimental_generateImage as _generateImage,
generateObject as _generateObject,
generateText as _generateText,
LanguageModel,
streamObject as _streamObject,
streamText as _streamText
} from 'ai'

View File

@@ -11,7 +11,7 @@ export type { RuntimeConfig } from './types'
// === 便捷工厂函数 ===
import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { LanguageModelV2Middleware } from '@ai-sdk/provider'
import { type AiPlugin } from '../plugins'
import { type ProviderId, type ProviderSettingsMap } from '../providers/types'

View File

@@ -1,13 +1,6 @@
/* eslint-disable @eslint-react/naming-convention/context-name */
import type { ImageModelV2 } from '@ai-sdk/provider'
import type {
experimental_generateImage,
generateObject,
generateText,
LanguageModel,
streamObject,
streamText
} from 'ai'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage, generateObject, generateText, LanguageModel, streamObject, streamText } from 'ai'
import { type AiPlugin, createContext, PluginManager } from '../plugins'
import { type ProviderId } from '../providers/types'

View File

@@ -1,8 +1,8 @@
/**
* Runtime 层类型定义
*/
import type { ImageModelV2 } from '@ai-sdk/provider'
import type { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'
import { ImageModelV2 } from '@ai-sdk/provider'
import { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'
import { type ModelConfig } from '../models/types'
import { type AiPlugin } from '../plugins'

View File

@@ -1,5 +1,4 @@
import type { Node } from '@tiptap/core'
import { Extension } from '@tiptap/core'
import { Extension, Node } from '@tiptap/core'
import type { TableCellOptions } from '../cell/index.js'
import { TableCell } from '../cell/index.js'

View File

@@ -1,7 +1,7 @@
import { SpanKind, SpanStatusCode } from '@opentelemetry/api'
import type { ReadableSpan } from '@opentelemetry/sdk-trace-base'
import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
import type { SpanEntity } from '../types/config'
import { SpanEntity } from '../types/config'
/**
* convert ReadableSpan to SpanEntity

View File

@@ -1,4 +1,4 @@
import type { ReadableSpan } from '@opentelemetry/sdk-trace-base'
import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
export interface TraceCache {
createSpan: (span: ReadableSpan) => void

View File

@@ -1,6 +1,5 @@
import type { ExportResult } from '@opentelemetry/core'
import { ExportResultCode } from '@opentelemetry/core'
import type { ReadableSpan, SpanExporter } from '@opentelemetry/sdk-trace-base'
import { ExportResult, ExportResultCode } from '@opentelemetry/core'
import { ReadableSpan, SpanExporter } from '@opentelemetry/sdk-trace-base'
export type SaveFunction = (spans: ReadableSpan[]) => Promise<void>

View File

@@ -1,9 +1,7 @@
import type { Context } from '@opentelemetry/api'
import { trace } from '@opentelemetry/api'
import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
import { Context, trace } from '@opentelemetry/api'
import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
import type { TraceCache } from '../core/traceCache'
import { TraceCache } from '../core/traceCache'
export class CacheBatchSpanProcessor extends BatchSpanProcessor {
private cache: TraceCache

View File

@@ -1,7 +1,6 @@
import type { Context } from '@opentelemetry/api'
import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
import type { EventEmitter } from 'stream'
import { Context } from '@opentelemetry/api'
import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
import { EventEmitter } from 'stream'
import { convertSpanToSpanEntity } from '../core/spanConvert'

View File

@@ -1,7 +1,5 @@
import type { Context } from '@opentelemetry/api'
import { trace } from '@opentelemetry/api'
import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
import { Context, trace } from '@opentelemetry/api'
import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
export type SpanFunction = (span: ReadableSpan) => void

View File

@@ -1,5 +1,5 @@
import type { Link } from '@opentelemetry/api'
import type { TimedEvent } from '@opentelemetry/sdk-trace-base'
import { Link } from '@opentelemetry/api'
import { TimedEvent } from '@opentelemetry/sdk-trace-base'
export type AttributeValue =
| string

View File

@@ -1,14 +1,11 @@
import type { Tracer } from '@opentelemetry/api'
import { trace } from '@opentelemetry/api'
import { trace, Tracer } from '@opentelemetry/api'
import { AsyncLocalStorageContextManager } from '@opentelemetry/context-async-hooks'
import { W3CTraceContextPropagator } from '@opentelemetry/core'
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
import type { SpanProcessor } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor, ConsoleSpanExporter } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node'
import type { TraceConfig } from '../trace-core/types/config'
import { defaultConfig } from '../trace-core/types/config'
import { defaultConfig, TraceConfig } from '../trace-core/types/config'
export class NodeTracer {
private static provider: NodeTracerProvider

View File

@@ -1,5 +1,4 @@
import type { Context, ContextManager } from '@opentelemetry/api'
import { ROOT_CONTEXT } from '@opentelemetry/api'
import { Context, ContextManager, ROOT_CONTEXT } from '@opentelemetry/api'
export class TopicContextManager implements ContextManager {
private topicContextStack: Map<string, Context[]>

View File

@@ -1,5 +1,4 @@
import type { Context } from '@opentelemetry/api'
import { context } from '@opentelemetry/api'
import { Context, context } from '@opentelemetry/api'
const originalPromise = globalThis.Promise

View File

@@ -1,11 +1,9 @@
import { W3CTraceContextPropagator } from '@opentelemetry/core'
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
import type { SpanProcessor } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor, ConsoleSpanExporter } from '@opentelemetry/sdk-trace-base'
import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
import { WebTracerProvider } from '@opentelemetry/sdk-trace-web'
import type { TraceConfig } from '../trace-core/types/config'
import { defaultConfig } from '../trace-core/types/config'
import { defaultConfig, TraceConfig } from '../trace-core/types/config'
import { TopicContextManager } from './TopicContextManager'
export const contextManager = new TopicContextManager()

View File

@@ -96,10 +96,6 @@ export enum IpcChannel {
AgentMessage_PersistExchange = 'agent-message:persist-exchange',
AgentMessage_GetHistory = 'agent-message:get-history',
AgentToolPermission_Request = 'agent-tool-permission:request',
AgentToolPermission_Response = 'agent-tool-permission:response',
AgentToolPermission_Result = 'agent-tool-permission:result',
//copilot
Copilot_GetAuthMessage = 'copilot:get-auth-message',
Copilot_GetCopilotToken = 'copilot:get-copilot-token',
@@ -195,6 +191,11 @@ export enum IpcChannel {
File_StartWatcher = 'file:startWatcher',
File_StopWatcher = 'file:stopWatcher',
File_ShowInFolder = 'file:showInFolder',
// Image export specific channels
File_ReadBinary = 'file:readBinary',
File_WriteBinary = 'file:writeBinary',
File_CopyFile = 'file:copyFile',
File_CreateDirectory = 'file:createDirectory',
// file service
FileService_Upload = 'file-service:upload',
@@ -322,7 +323,6 @@ export enum IpcChannel {
ApiServer_Stop = 'api-server:stop',
ApiServer_Restart = 'api-server:restart',
ApiServer_GetStatus = 'api-server:get-status',
ApiServer_Ready = 'api-server:ready',
// NOTE: This api is not be used.
ApiServer_GetConfig = 'api-server:get-config',
@@ -355,21 +355,5 @@ export enum IpcChannel {
Ovms_StopOVMS = 'ovms:stop-ovms',
// CherryAI
Cherryai_GetSignature = 'cherryai:get-signature',
// Claude Code Plugins
ClaudeCodePlugin_ListAvailable = 'claudeCodePlugin:list-available',
ClaudeCodePlugin_Install = 'claudeCodePlugin:install',
ClaudeCodePlugin_Uninstall = 'claudeCodePlugin:uninstall',
ClaudeCodePlugin_ListInstalled = 'claudeCodePlugin:list-installed',
ClaudeCodePlugin_InvalidateCache = 'claudeCodePlugin:invalidate-cache',
ClaudeCodePlugin_ReadContent = 'claudeCodePlugin:read-content',
ClaudeCodePlugin_WriteContent = 'claudeCodePlugin:write-content',
// WebSocket
WebSocket_Start = 'webSocket:start',
WebSocket_Stop = 'webSocket:stop',
WebSocket_Status = 'webSocket:status',
WebSocket_SendFile = 'webSocket:send-file',
WebSocket_GetAllCandidates = 'webSocket:get-all-candidates'
Cherryai_GetSignature = 'cherryai:get-signature'
}

View File

@@ -9,9 +9,9 @@
*/
import Anthropic from '@anthropic-ai/sdk'
import type { TextBlockParam } from '@anthropic-ai/sdk/resources'
import { TextBlockParam } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import type { Provider } from '@types'
import { Provider } from '@types'
import type { ModelMessage } from 'ai'
const logger = loggerService.withContext('anthropic-sdk')

View File

@@ -1,4 +1,4 @@
import type { ProcessingStatus } from '@types'
import { ProcessingStatus } from '@types'
export type LoaderReturn = {
entriesAdded: number
@@ -31,16 +31,3 @@ export type WebviewKeyEvent = {
shift: boolean
alt: boolean
}
export interface WebSocketStatusResponse {
isRunning: boolean
port?: number
ip?: string
clientConnected: boolean
}
export interface WebSocketCandidatesResponse {
host: string
interface: string
priority: number
}

View File

@@ -56,7 +56,7 @@ Performance Optimization Recommendations:
- For unstable services: MAX_CONCURRENT_TRANSLATIONS=2, TRANSLATION_DELAY_MS=500
Environment Variables:
- TRANSLATION_BASE_LOCALE: Base locale for translation (default: 'en-us')
- BASE_LOCALE: Base locale for translation (default: 'en-us')
- TRANSLATION_BASE_URL: Custom API endpoint URL
- TRANSLATION_MODEL: Custom translation model name
*/
@@ -258,7 +258,7 @@ const main = async () => {
const localesDir = path.join(__dirname, '../src/renderer/src/i18n/locales')
const translateDir = path.join(__dirname, '../src/renderer/src/i18n/translate')
const baseLocale = process.env.TRANSLATION_BASE_LOCALE ?? 'en-us'
const baseLocale = process.env.BASE_LOCALE ?? 'en-us'
const baseFileName = `${baseLocale}.json`
const baseLocalePath = path.join(__dirname, '../src/renderer/src/i18n/locales', baseFileName)
if (!fs.existsSync(baseLocalePath)) {
@@ -284,7 +284,6 @@ const main = async () => {
const translateFiles = getFiles(translateDir)
const files = [...localeFiles, ...translateFiles]
console.info(`📂 Base Locale: ${baseLocale}`)
console.info('📂 Files to translate:')
files.forEach((filePath) => {
const filename = path.basename(filePath, '.json')

View File

@@ -5,7 +5,7 @@ import { sortedObjectByKeys } from './sort'
const localesDir = path.join(__dirname, '../src/renderer/src/i18n/locales')
const translateDir = path.join(__dirname, '../src/renderer/src/i18n/translate')
const baseLocale = process.env.TRANSLATION_BASE_LOCALE ?? 'en-us'
const baseLocale = process.env.BASE_LOCALE ?? 'zh-cn'
const baseFileName = `${baseLocale}.json`
const baseFilePath = path.join(localesDir, baseFileName)
@@ -13,45 +13,45 @@ type I18NValue = string | { [key: string]: I18NValue }
type I18N = { [key: string]: I18NValue }
/**
* Recursively sync target object to match template object structure
* 1. Add keys that exist in template but missing in target (with '[to be translated]')
* 2. Remove keys that exist in target but not in template
* 3. Recursively sync nested objects
* 递归同步 target 对象,使其与 template 对象保持一致
* 1. 如果 template 中存在 target 中缺少的 key则添加'[to be translated]'
* 2. 如果 target 中存在 template 中不存在的 key则删除
* 3. 对于子对象,递归同步
*
* @param target Target object (language object to be updated)
* @param template Base locale object (Chinese)
* @returns Returns whether target was updated
* @param target 目标对象(需要更新的语言对象)
* @param template 主模板对象(中文)
* @returns 返回是否对 target 进行了更新
*/
function syncRecursively(target: I18N, template: I18N): void {
// Add keys that exist in template but missing in target
// 添加 template 中存在但 target 中缺少的 key
for (const key in template) {
if (!(key in target)) {
target[key] =
typeof template[key] === 'object' && template[key] !== null ? {} : `[to be translated]:${template[key]}`
console.log(`Added new property: ${key}`)
console.log(`添加新属性:${key}`)
}
if (typeof template[key] === 'object' && template[key] !== null) {
if (typeof target[key] !== 'object' || target[key] === null) {
target[key] = {}
}
// Recursively sync nested objects
// 递归同步子对象
syncRecursively(target[key], template[key])
}
}
// Remove keys that exist in target but not in template
// 删除 target 中存在但 template 中没有的 key
for (const targetKey in target) {
if (!(targetKey in template)) {
console.log(`Removed excess property: ${targetKey}`)
console.log(`移除多余属性:${targetKey}`)
delete target[targetKey]
}
}
}
/**
* Check JSON object for duplicate keys and collect all duplicates
* @param obj Object to check
* @returns Returns array of duplicate keys (empty array if no duplicates)
* 检查 JSON 对象中是否存在重复键,并收集所有重复键
* @param obj 要检查的对象
* @returns 返回重复键的数组(若无重复则返回空数组)
*/
function checkDuplicateKeys(obj: I18N): string[] {
const keys = new Set<string>()
@@ -62,7 +62,7 @@ function checkDuplicateKeys(obj: I18N): string[] {
const fullPath = path ? `${path}.${key}` : key
if (keys.has(fullPath)) {
// When duplicate key found, add to array (avoid duplicate additions)
// 发现重复键时,添加到数组中(避免重复添加)
if (!duplicateKeys.includes(fullPath)) {
duplicateKeys.push(fullPath)
}
@@ -70,7 +70,7 @@ function checkDuplicateKeys(obj: I18N): string[] {
keys.add(fullPath)
}
// Recursively check nested objects
// 递归检查子对象
if (typeof obj[key] === 'object' && obj[key] !== null) {
checkObject(obj[key], fullPath)
}
@@ -83,7 +83,7 @@ function checkDuplicateKeys(obj: I18N): string[] {
function syncTranslations() {
if (!fs.existsSync(baseFilePath)) {
console.error(`Base locale file ${baseFileName} does not exist, please check path or filename`)
console.error(`主模板文件 ${baseFileName} 不存在,请检查路径或文件名`)
return
}
@@ -92,24 +92,24 @@ function syncTranslations() {
try {
baseJson = JSON.parse(baseContent)
} catch (error) {
console.error(`Error parsing ${baseFileName}. ${error}`)
console.error(`解析 ${baseFileName} 出错。${error}`)
return
}
// Check if base locale has duplicate keys
// 检查主模板是否存在重复键
const duplicateKeys = checkDuplicateKeys(baseJson)
if (duplicateKeys.length > 0) {
throw new Error(`Base locale file ${baseFileName} has the following duplicate keys:\n${duplicateKeys.join('\n')}`)
throw new Error(`主模板文件 ${baseFileName} 存在以下重复键:\n${duplicateKeys.join('\n')}`)
}
// Sort base locale
// 为主模板排序
const sortedJson = sortedObjectByKeys(baseJson)
if (JSON.stringify(baseJson) !== JSON.stringify(sortedJson)) {
try {
fs.writeFileSync(baseFilePath, JSON.stringify(sortedJson, null, 2) + '\n', 'utf-8')
console.log(`Base locale has been sorted`)
console.log(`主模板已排序`)
} catch (error) {
console.error(`Error writing ${baseFilePath}.`, error)
console.error(`写入 ${baseFilePath} 出错。`, error)
return
}
}
@@ -124,7 +124,7 @@ function syncTranslations() {
.map((filename) => path.join(translateDir, filename))
const files = [...localeFiles, ...translateFiles]
// Sync keys
// 同步键
for (const filePath of files) {
const filename = path.basename(filePath)
let targetJson: I18N = {}
@@ -132,7 +132,7 @@ function syncTranslations() {
const fileContent = fs.readFileSync(filePath, 'utf-8')
targetJson = JSON.parse(fileContent)
} catch (error) {
console.error(`Error parsing ${filename}, skipping this file.`, error)
console.error(`解析 ${filename} 出错,跳过此文件。`, error)
continue
}
@@ -142,9 +142,9 @@ function syncTranslations() {
try {
fs.writeFileSync(filePath, JSON.stringify(sortedJson, null, 2) + '\n', 'utf-8')
console.log(`File ${filename} has been sorted and synced to match base locale content`)
console.log(`文件 ${filename} 已排序并同步更新为主模板的内容`)
} catch (error) {
console.error(`Error writing ${filename}. ${error}`)
console.error(`写入 ${filename} 出错。${error}`)
}
}
}

View File

@@ -1,4 +1,4 @@
import type { ApiServerConfig } from '@types'
import { ApiServerConfig } from '@types'
import { v4 as uuidv4 } from 'uuid'
import { loggerService } from '../services/LoggerService'

View File

@@ -1,5 +1,5 @@
import crypto from 'crypto'
import type { NextFunction, Request, Response } from 'express'
import { NextFunction, Request, Response } from 'express'
import { config } from '../config'

View File

@@ -1,4 +1,4 @@
import type { NextFunction, Request, Response } from 'express'
import { NextFunction, Request, Response } from 'express'
import { loggerService } from '../../services/LoggerService'

View File

@@ -1,4 +1,4 @@
import type { Express } from 'express'
import { Express } from 'express'
import swaggerJSDoc from 'swagger-jsdoc'
import swaggerUi from 'swagger-ui-express'
@@ -171,7 +171,7 @@ const swaggerOptions: swaggerJSDoc.Options = {
}
]
},
apis: ['./src/main/apiServer/routes/**/*.ts', './src/main/apiServer/app.ts']
apis: ['./src/main/apiServer/routes/*.ts', './src/main/apiServer/app.ts']
}
export function setupOpenAPIDocumentation(app: Express) {

View File

@@ -1,8 +1,7 @@
import { loggerService } from '@logger'
import { AgentModelValidationError, agentService, sessionService } from '@main/services/agents'
import type { ListAgentsResponse } from '@types'
import { type ReplaceAgentRequest, type UpdateAgentRequest } from '@types'
import type { Request, Response } from 'express'
import { ListAgentsResponse, type ReplaceAgentRequest, type UpdateAgentRequest } from '@types'
import { Request, Response } from 'express'
import type { ValidationRequest } from '../validators/zodValidator'

View File

@@ -2,7 +2,7 @@ import { loggerService } from '@logger'
import { MESSAGE_STREAM_TIMEOUT_MS } from '@main/apiServer/config/timeouts'
import { createStreamAbortController, STREAM_TIMEOUT_REASON } from '@main/apiServer/utils/createStreamAbortController'
import { agentService, sessionMessageService, sessionService } from '@main/services/agents'
import type { Request, Response } from 'express'
import { Request, Response } from 'express'
const logger = loggerService.withContext('ApiServerMessagesHandlers')

View File

@@ -1,8 +1,7 @@
import { loggerService } from '@logger'
import { AgentModelValidationError, sessionMessageService, sessionService } from '@main/services/agents'
import type { ListAgentSessionsResponse, UpdateSessionResponse } from '@types'
import { type ReplaceSessionRequest } from '@types'
import type { Request, Response } from 'express'
import { ListAgentSessionsResponse, type ReplaceSessionRequest, UpdateSessionResponse } from '@types'
import { Request, Response } from 'express'
import type { ValidationRequest } from '../validators/zodValidator'

View File

@@ -1,4 +1,4 @@
import type { Request, Response } from 'express'
import { Request, Response } from 'express'
import { agentService } from '../../../../services/agents'
import { loggerService } from '../../../../services/LoggerService'

View File

@@ -1,6 +1,5 @@
import type { NextFunction, Request, Response } from 'express'
import type { ZodType } from 'zod'
import { ZodError } from 'zod'
import { NextFunction, Request, Response } from 'express'
import { ZodError, ZodType } from 'zod'
export interface ValidationRequest extends Request {
validatedBody?: any

View File

@@ -1,6 +1,5 @@
import type { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
import type { Request, Response } from 'express'
import express from 'express'
import { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
import express, { Request, Response } from 'express'
import { loggerService } from '../../services/LoggerService'
import {

View File

@@ -1,5 +1,4 @@
import type { Request, Response } from 'express'
import express from 'express'
import express, { Request, Response } from 'express'
import { loggerService } from '../../services/LoggerService'
import { mcpApiService } from '../services/mcp'

View File

@@ -1,8 +1,7 @@
import type { MessageCreateParams } from '@anthropic-ai/sdk/resources'
import { MessageCreateParams } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import type { Provider } from '@types'
import type { Request, Response } from 'express'
import express from 'express'
import { Provider } from '@types'
import express, { Request, Response } from 'express'
import { messagesService } from '../services/messages'
import { getProviderById, validateModelId } from '../utils'

View File

@@ -1,7 +1,5 @@
import type { ApiModelsResponse } from '@types'
import { ApiModelsFilterSchema } from '@types'
import type { Request, Response } from 'express'
import express from 'express'
import { ApiModelsFilterSchema, ApiModelsResponse } from '@types'
import express, { Request, Response } from 'express'
import { loggerService } from '../../services/LoggerService'
import { modelsService } from '../services/models'

View File

@@ -1,10 +1,8 @@
import { createServer } from 'node:http'
import { loggerService } from '@logger'
import { IpcChannel } from '@shared/IpcChannel'
import { agentService } from '../services/agents'
import { windowService } from '../services/WindowService'
import { app } from './app'
import { config } from './config'
@@ -45,13 +43,6 @@ export class ApiServer {
return new Promise((resolve, reject) => {
this.server!.listen(port, host, () => {
logger.info('API server started', { host, port })
// Notify renderer that API server is ready
const mainWindow = windowService.getMainWindow()
if (mainWindow && !mainWindow.isDestroyed()) {
mainWindow.webContents.send(IpcChannel.ApiServer_Ready)
}
resolve()
})

View File

@@ -1,10 +1,9 @@
import OpenAI from '@cherrystudio/openai'
import type { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
import type { Provider } from '@types'
import { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
import { Provider } from '@types'
import { loggerService } from '../../services/LoggerService'
import type { ModelValidationError } from '../utils'
import { validateModelId } from '../utils'
import { ModelValidationError, validateModelId } from '../utils'
const logger = loggerService.withContext('ChatCompletionService')

View File

@@ -1,12 +1,16 @@
import mcpService from '@main/services/MCPService'
import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp'
import type { JSONRPCMessage, MessageExtraInfo } from '@modelcontextprotocol/sdk/types'
import { isJSONRPCRequest, JSONRPCMessageSchema } from '@modelcontextprotocol/sdk/types'
import type { MCPServer } from '@types'
import {
isJSONRPCRequest,
JSONRPCMessage,
JSONRPCMessageSchema,
MessageExtraInfo
} from '@modelcontextprotocol/sdk/types'
import { MCPServer } from '@types'
import { randomUUID } from 'crypto'
import { EventEmitter } from 'events'
import type { Request, Response } from 'express'
import type { IncomingMessage, ServerResponse } from 'http'
import { Request, Response } from 'express'
import { IncomingMessage, ServerResponse } from 'http'
import { loggerService } from '../../services/LoggerService'
import { getMcpServerById, getMCPServersFromRedux } from '../utils/mcp'

View File

@@ -1,10 +1,10 @@
import type Anthropic from '@anthropic-ai/sdk'
import type { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
import Anthropic from '@anthropic-ai/sdk'
import { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
import { loggerService } from '@logger'
import anthropicService from '@main/services/AnthropicService'
import { buildClaudeCodeSystemMessage, getSdkClient } from '@shared/anthropic'
import type { Provider } from '@types'
import type { Response } from 'express'
import { Provider } from '@types'
import { Response } from 'express'
const logger = loggerService.withContext('MessagesService')
const EXCLUDED_FORWARD_HEADERS: ReadonlySet<string> = new Set([

View File

@@ -1,6 +1,6 @@
import { isEmpty } from 'lodash'
import type { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
import { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
import { loggerService } from '../../services/LoggerService'
import {
getAvailableProviders,

View File

@@ -1,7 +1,7 @@
import { CacheService } from '@main/services/CacheService'
import { loggerService } from '@main/services/LoggerService'
import { reduxService } from '@main/services/ReduxService'
import type { ApiModel, Model, Provider } from '@types'
import { ApiModel, Model, Provider } from '@types'
const logger = loggerService.withContext('ApiServerUtils')

View File

@@ -1,9 +1,8 @@
import { CacheService } from '@main/services/CacheService'
import mcpService from '@main/services/MCPService'
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import type { ListToolsResult } from '@modelcontextprotocol/sdk/types.js'
import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
import type { MCPServer } from '@types'
import { CallToolRequestSchema, ListToolsRequestSchema, ListToolsResult } from '@modelcontextprotocol/sdk/types.js'
import { MCPServer } from '@types'
import { loggerService } from '../../services/LoggerService'
import { reduxService } from '../../services/ReduxService'

View File

@@ -21,7 +21,6 @@ import { appMenuService } from './services/AppMenuService'
import { configManager } from './services/ConfigManager'
import mcpService from './services/MCPService'
import { nodeTraceService } from './services/NodeTraceService'
import powerMonitorService from './services/PowerMonitorService'
import {
CHERRY_STUDIO_PROTOCOL,
handleProtocolUrl,
@@ -31,7 +30,6 @@ import {
import selectionService, { initSelectionService } from './services/SelectionService'
import { registerShortcuts } from './services/ShortcutService'
import { TrayService } from './services/TrayService'
import { versionService } from './services/VersionService'
import { windowService } from './services/WindowService'
import { initWebviewHotkeys } from './services/WebviewService'
@@ -112,10 +110,6 @@ if (!app.requestSingleInstanceLock()) {
// Some APIs can only be used after this event occurs.
app.whenReady().then(async () => {
// Record current version for tracking
// A preparation for v2 data refactoring
versionService.recordCurrentVersion()
initWebviewHotkeys()
// Set app user model id for windows
electronApp.setAppUserModelId(import.meta.env.VITE_MAIN_BUNDLE_ID || 'com.kangfenmao.CherryStudio')
@@ -133,7 +127,6 @@ if (!app.requestSingleInstanceLock()) {
appMenuService?.setupApplicationMenu()
nodeTraceService.init()
powerMonitorService.init()
app.on('activate', function () {
const mainWindow = windowService.getMainWindow()

View File

@@ -8,12 +8,10 @@ import { generateSignature } from '@main/integration/cherryai'
import anthropicService from '@main/services/AnthropicService'
import { getBinaryPath, isBinaryExists, runInstallScript } from '@main/utils/process'
import { handleZoomFactor } from '@main/utils/zoom'
import type { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
import type { UpgradeChannel } from '@shared/config/constant'
import { MIN_WINDOW_HEIGHT, MIN_WINDOW_WIDTH } from '@shared/config/constant'
import { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
import { MIN_WINDOW_HEIGHT, MIN_WINDOW_WIDTH, UpgradeChannel } from '@shared/config/constant'
import { IpcChannel } from '@shared/IpcChannel'
import type { PluginError } from '@types'
import type {
import {
AgentPersistedMessage,
FileMetadata,
Notification,
@@ -24,12 +22,10 @@ import type {
ThemeMode
} from '@types'
import checkDiskSpace from 'check-disk-space'
import type { ProxyConfig } from 'electron'
import { BrowserWindow, dialog, ipcMain, session, shell, systemPreferences, webContents } from 'electron'
import { BrowserWindow, dialog, ipcMain, ProxyConfig, session, shell, systemPreferences, webContents } from 'electron'
import fontList from 'font-list'
import { agentMessageRepository } from './services/agents/database'
import { PluginService } from './services/agents/plugins/PluginService'
import { apiServerService } from './services/ApiServerService'
import appService from './services/AppService'
import AppUpdater from './services/AppUpdater'
@@ -50,7 +46,6 @@ import * as NutstoreService from './services/NutstoreService'
import ObsidianVaultService from './services/ObsidianVaultService'
import { ocrService } from './services/ocr/OcrService'
import OvmsManager from './services/OvmsManager'
import powerMonitorService from './services/PowerMonitorService'
import { proxyManager } from './services/ProxyManager'
import { pythonService } from './services/PythonService'
import { FileServiceManager } from './services/remotefile/FileServiceManager'
@@ -73,7 +68,6 @@ import {
import storeSyncService from './services/StoreSyncService'
import { themeService } from './services/ThemeService'
import VertexAIService from './services/VertexAIService'
import WebSocketService from './services/WebSocketService'
import { setOpenLinkExternal } from './services/WebviewService'
import { windowService } from './services/WindowService'
import { calculateDirectorySize, getResourcePath } from './utils'
@@ -99,34 +93,13 @@ const vertexAIService = VertexAIService.getInstance()
const memoryService = MemoryService.getInstance()
const dxtService = new DxtService()
const ovmsManager = new OvmsManager()
const pluginService = PluginService.getInstance()
function normalizeError(error: unknown): Error {
return error instanceof Error ? error : new Error(String(error))
}
function extractPluginError(error: unknown): PluginError | null {
if (error && typeof error === 'object' && 'type' in error && typeof (error as { type: unknown }).type === 'string') {
return error as PluginError
}
return null
}
export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
const appUpdater = new AppUpdater()
const notificationService = new NotificationService()
// Register shutdown handlers
powerMonitorService.registerShutdownHandler(() => {
appUpdater.setAutoUpdate(false)
})
powerMonitorService.registerShutdownHandler(() => {
const mw = windowService.getMainWindow()
if (mw && !mw.isDestroyed()) {
mw.webContents.send(IpcChannel.App_SaveData)
}
})
// Initialize Python service with main window
pythonService.setMainWindow(mainWindow)
const checkMainWindow = () => {
if (!mainWindow || mainWindow.isDestroyed()) {
@@ -558,6 +531,23 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
ipcMain.handle(IpcChannel.File_StopWatcher, fileManager.stopFileWatcher.bind(fileManager))
ipcMain.handle(IpcChannel.File_ShowInFolder, fileManager.showInFolder.bind(fileManager))
// Image export specific handlers
ipcMain.handle(IpcChannel.File_ReadBinary, async (_, filePath: string) => {
return fs.promises.readFile(filePath)
})
ipcMain.handle(IpcChannel.File_WriteBinary, async (_, filePath: string, buffer: Buffer) => {
return fs.promises.writeFile(filePath, buffer)
})
ipcMain.handle(IpcChannel.File_CopyFile, async (_, sourcePath: string, destPath: string) => {
return fs.promises.copyFile(sourcePath, destPath)
})
ipcMain.handle(IpcChannel.File_CreateDirectory, async (_, dirPath: string) => {
return fs.promises.mkdir(dirPath, { recursive: true })
})
// file service
ipcMain.handle(IpcChannel.FileService_Upload, async (_, provider: Provider, file: FileMetadata) => {
const service = FileServiceManager.getInstance().getService(provider)
@@ -917,124 +907,4 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
// CherryAI
ipcMain.handle(IpcChannel.Cherryai_GetSignature, (_, params) => generateSignature(params))
// Claude Code Plugins
ipcMain.handle(IpcChannel.ClaudeCodePlugin_ListAvailable, async () => {
try {
const data = await pluginService.listAvailable()
return { success: true, data }
} catch (error) {
const pluginError = extractPluginError(error)
if (pluginError) {
logger.error('Failed to list available plugins', pluginError)
return { success: false, error: pluginError }
}
const err = normalizeError(error)
logger.error('Failed to list available plugins', err)
return {
success: false,
error: {
type: 'TRANSACTION_FAILED',
operation: 'list-available',
reason: err.message
}
}
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_Install, async (_, options) => {
try {
const data = await pluginService.install(options)
return { success: true, data }
} catch (error) {
logger.error('Failed to install plugin', { options, error })
return { success: false, error }
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_Uninstall, async (_, options) => {
try {
await pluginService.uninstall(options)
return { success: true, data: undefined }
} catch (error) {
logger.error('Failed to uninstall plugin', { options, error })
return { success: false, error }
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_ListInstalled, async (_, agentId: string) => {
try {
const data = await pluginService.listInstalled(agentId)
return { success: true, data }
} catch (error) {
const pluginError = extractPluginError(error)
if (pluginError) {
logger.error('Failed to list installed plugins', { agentId, error: pluginError })
return { success: false, error: pluginError }
}
const err = normalizeError(error)
logger.error('Failed to list installed plugins', { agentId, error: err })
return {
success: false,
error: {
type: 'TRANSACTION_FAILED',
operation: 'list-installed',
reason: err.message
}
}
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_InvalidateCache, async () => {
try {
pluginService.invalidateCache()
return { success: true, data: undefined }
} catch (error) {
const pluginError = extractPluginError(error)
if (pluginError) {
logger.error('Failed to invalidate plugin cache', pluginError)
return { success: false, error: pluginError }
}
const err = normalizeError(error)
logger.error('Failed to invalidate plugin cache', err)
return {
success: false,
error: {
type: 'TRANSACTION_FAILED',
operation: 'invalidate-cache',
reason: err.message
}
}
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_ReadContent, async (_, sourcePath: string) => {
try {
const data = await pluginService.readContent(sourcePath)
return { success: true, data }
} catch (error) {
logger.error('Failed to read plugin content', { sourcePath, error })
return { success: false, error }
}
})
ipcMain.handle(IpcChannel.ClaudeCodePlugin_WriteContent, async (_, options) => {
try {
await pluginService.writeContent(options.agentId, options.filename, options.type, options.content)
return { success: true, data: undefined }
} catch (error) {
logger.error('Failed to write plugin content', { options, error })
return { success: false, error }
}
})
// WebSocket
ipcMain.handle(IpcChannel.WebSocket_Start, WebSocketService.start)
ipcMain.handle(IpcChannel.WebSocket_Stop, WebSocketService.stop)
ipcMain.handle(IpcChannel.WebSocket_Status, WebSocketService.getStatus)
ipcMain.handle(IpcChannel.WebSocket_SendFile, WebSocketService.sendFile)
ipcMain.handle(IpcChannel.WebSocket_GetAllCandidates, WebSocketService.getAllCandidates)
}

View File

@@ -1,6 +1,6 @@
import type { BaseEmbeddings } from '@cherrystudio/embedjs-interfaces'
import { TraceMethod } from '@mcp-trace/trace-core'
import type { ApiClient } from '@types'
import { ApiClient } from '@types'
import EmbeddingsFactory from './EmbeddingsFactory'

View File

@@ -1,15 +1,15 @@
import type { BaseEmbeddings } from '@cherrystudio/embedjs-interfaces'
import { OllamaEmbeddings } from '@cherrystudio/embedjs-ollama'
import { OpenAiEmbeddings } from '@cherrystudio/embedjs-openai'
import type { ApiClient } from '@types'
import { net } from 'electron'
import { AzureOpenAiEmbeddings } from '@cherrystudio/embedjs-openai/src/azure-openai-embeddings'
import { ApiClient } from '@types'
import { VoyageEmbeddings } from './VoyageEmbeddings'
export default class EmbeddingsFactory {
static create({ embedApiClient, dimensions }: { embedApiClient: ApiClient; dimensions?: number }): BaseEmbeddings {
const batchSize = 10
const { model, provider, apiKey, baseURL } = embedApiClient
const { model, provider, apiKey, apiVersion, baseURL } = embedApiClient
if (provider === 'voyageai') {
return new VoyageEmbeddings({
modelName: model,
@@ -38,13 +38,22 @@ export default class EmbeddingsFactory {
}
})
}
// NOTE: Azure OpenAI 也走 OpenAIEmbeddings, baseURL是https://xxxx.openai.azure.com/openai/v1
if (apiVersion !== undefined) {
return new AzureOpenAiEmbeddings({
azureOpenAIApiKey: apiKey,
azureOpenAIApiVersion: apiVersion,
azureOpenAIApiDeploymentName: model,
azureOpenAIEndpoint: baseURL,
dimensions,
batchSize
})
}
return new OpenAiEmbeddings({
model,
apiKey,
dimensions,
batchSize,
configuration: { baseURL, fetch: net.fetch as typeof fetch }
configuration: { baseURL }
})
}
}

View File

@@ -1,11 +1,10 @@
import type { RAGApplication } from '@cherrystudio/embedjs'
import { JsonLoader, LocalPathLoader, TextLoader } from '@cherrystudio/embedjs'
import { JsonLoader, LocalPathLoader, RAGApplication, TextLoader } from '@cherrystudio/embedjs'
import type { AddLoaderReturn } from '@cherrystudio/embedjs-interfaces'
import { WebLoader } from '@cherrystudio/embedjs-loader-web'
import { loggerService } from '@logger'
import { readTextFileWithAutoEncoding } from '@main/utils/file'
import type { LoaderReturn } from '@shared/config/types'
import type { FileMetadata, KnowledgeBaseParams } from '@types'
import { LoaderReturn } from '@shared/config/types'
import { FileMetadata, KnowledgeBaseParams } from '@types'
import { DraftsExportLoader } from './draftsExportLoader'
import { EpubLoader } from './epubLoader'

View File

@@ -3,8 +3,7 @@ import { cleanString } from '@cherrystudio/embedjs-utils'
import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters'
import { loggerService } from '@logger'
import md5 from 'md5'
import type { OfficeParserConfig } from 'officeparser'
import { parseOfficeAsync } from 'officeparser'
import { OfficeParserConfig, parseOfficeAsync } from 'officeparser'
const logger = loggerService.withContext('OdLoader')

View File

@@ -4,7 +4,7 @@ import path from 'node:path'
import { loggerService } from '@logger'
import { windowService } from '@main/services/WindowService'
import { getFileExt, getTempDir } from '@main/utils/file'
import type { FileMetadata, PreprocessProvider } from '@types'
import { FileMetadata, PreprocessProvider } from '@types'
import { PDFDocument } from 'pdf-lib'
const logger = loggerService.withContext('BasePreprocessProvider')

View File

@@ -1,4 +1,4 @@
import type { FileMetadata, PreprocessProvider } from '@types'
import { FileMetadata, PreprocessProvider } from '@types'
import BasePreprocessProvider from './BasePreprocessProvider'

View File

@@ -3,7 +3,7 @@ import path from 'node:path'
import { loggerService } from '@logger'
import { fileStorage } from '@main/services/FileStorage'
import type { FileMetadata, PreprocessProvider } from '@types'
import { FileMetadata, PreprocessProvider } from '@types'
import AdmZip from 'adm-zip'
import { net } from 'electron'

View File

@@ -3,7 +3,7 @@ import path from 'node:path'
import { loggerService } from '@logger'
import { fileStorage } from '@main/services/FileStorage'
import type { FileMetadata, PreprocessProvider } from '@types'
import { FileMetadata, PreprocessProvider } from '@types'
import AdmZip from 'adm-zip'
import { net } from 'electron'

View File

@@ -4,12 +4,11 @@ import { loggerService } from '@logger'
import { fileStorage } from '@main/services/FileStorage'
import { MistralClientManager } from '@main/services/MistralClientManager'
import { MistralService } from '@main/services/remotefile/MistralService'
import type { Mistral } from '@mistralai/mistralai'
import type { DocumentURLChunk } from '@mistralai/mistralai/models/components/documenturlchunk'
import type { ImageURLChunk } from '@mistralai/mistralai/models/components/imageurlchunk'
import type { OCRResponse } from '@mistralai/mistralai/models/components/ocrresponse'
import type { FileMetadata, PreprocessProvider, Provider } from '@types'
import { FileTypes } from '@types'
import { Mistral } from '@mistralai/mistralai'
import { DocumentURLChunk } from '@mistralai/mistralai/models/components/documenturlchunk'
import { ImageURLChunk } from '@mistralai/mistralai/models/components/imageurlchunk'
import { OCRResponse } from '@mistralai/mistralai/models/components/ocrresponse'
import { FileMetadata, FileTypes, PreprocessProvider, Provider } from '@types'
import path from 'path'
import BasePreprocessProvider from './BasePreprocessProvider'

View File

@@ -1,199 +0,0 @@
import fs from 'node:fs'
import path from 'node:path'
import { loggerService } from '@logger'
import { fileStorage } from '@main/services/FileStorage'
import type { FileMetadata, PreprocessProvider } from '@types'
import AdmZip from 'adm-zip'
import { net } from 'electron'
import FormData from 'form-data'
import BasePreprocessProvider from './BasePreprocessProvider'
const logger = loggerService.withContext('MineruPreprocessProvider')
export default class OpenMineruPreprocessProvider extends BasePreprocessProvider {
constructor(provider: PreprocessProvider, userId?: string) {
super(provider, userId)
}
public async parseFile(
sourceId: string,
file: FileMetadata
): Promise<{ processedFile: FileMetadata; quota: number }> {
try {
const filePath = fileStorage.getFilePathById(file)
logger.info(`Open MinerU preprocess processing started: ${filePath}`)
await this.validateFile(filePath)
// 1. Update progress
await this.sendPreprocessProgress(sourceId, 50)
logger.info(`File ${file.name} is starting processing...`)
// 2. Upload file and extract
const { path: outputPath } = await this.uploadFileAndExtract(file)
// 3. Check quota
const quota = await this.checkQuota()
// 4. Create processed file info
return {
processedFile: this.createProcessedFileInfo(file, outputPath),
quota
}
} catch (error) {
logger.error(`Open MinerU preprocess processing failed for:`, error as Error)
throw error
}
}
public async checkQuota() {
// self-hosted version always has enough quota
return Infinity
}
private async validateFile(filePath: string): Promise<void> {
const pdfBuffer = await fs.promises.readFile(filePath)
const doc = await this.readPdf(pdfBuffer)
// File page count must be less than 600 pages
if (doc.numPages >= 600) {
throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
}
// File size must be less than 200MB
if (pdfBuffer.length >= 200 * 1024 * 1024) {
const fileSizeMB = Math.round(pdfBuffer.length / (1024 * 1024))
throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
}
}
private createProcessedFileInfo(file: FileMetadata, outputPath: string): FileMetadata {
// Find the main file after extraction
let finalPath = ''
let finalName = file.origin_name.replace('.pdf', '.md')
// Find the corresponding folder by file name
outputPath = path.join(outputPath, `${file.origin_name.replace('.pdf', '')}`)
try {
const files = fs.readdirSync(outputPath)
const mdFile = files.find((f) => f.endsWith('.md'))
if (mdFile) {
const originalMdPath = path.join(outputPath, mdFile)
const newMdPath = path.join(outputPath, finalName)
// Rename file to original file name
try {
fs.renameSync(originalMdPath, newMdPath)
finalPath = newMdPath
logger.info(`Renamed markdown file from ${mdFile} to ${finalName}`)
} catch (renameError) {
logger.warn(`Failed to rename file ${mdFile} to ${finalName}: ${renameError}`)
// If rename fails, use the original file
finalPath = originalMdPath
finalName = mdFile
}
}
} catch (error) {
logger.warn(`Failed to read output directory ${outputPath}:`, error as Error)
finalPath = path.join(outputPath, `${file.id}.md`)
}
return {
...file,
name: finalName,
path: finalPath,
ext: '.md',
size: fs.existsSync(finalPath) ? fs.statSync(finalPath).size : 0
}
}
private async uploadFileAndExtract(
file: FileMetadata,
maxRetries: number = 5,
intervalMs: number = 5000
): Promise<{ path: string }> {
let retries = 0
const endpoint = `${this.provider.apiHost}/file_parse`
// Get file stream
const filePath = fileStorage.getFilePathById(file)
const fileBuffer = await fs.promises.readFile(filePath)
const formData = new FormData()
formData.append('return_md', 'true')
formData.append('response_format_zip', 'true')
formData.append('files', fileBuffer, {
filename: file.origin_name
})
while (retries < maxRetries) {
let zipPath: string | undefined
try {
const response = await net.fetch(endpoint, {
method: 'POST',
headers: {
token: this.userId ?? '',
...(this.provider.apiKey ? { Authorization: `Bearer ${this.provider.apiKey}` } : {}),
...formData.getHeaders()
},
body: formData.getBuffer()
})
if (!response.ok) {
throw new Error(`HTTP ${response.status}: ${response.statusText}`)
}
// Check if response header is application/zip
if (response.headers.get('content-type') !== 'application/zip') {
throw new Error(`Downloaded ZIP file has unexpected content-type: ${response.headers.get('content-type')}`)
}
const dirPath = this.storageDir
zipPath = path.join(dirPath, `${file.id}.zip`)
const extractPath = path.join(dirPath, `${file.id}`)
const arrayBuffer = await response.arrayBuffer()
fs.writeFileSync(zipPath, Buffer.from(arrayBuffer))
logger.info(`Downloaded ZIP file: ${zipPath}`)
// Ensure extraction directory exists
if (!fs.existsSync(extractPath)) {
fs.mkdirSync(extractPath, { recursive: true })
}
// Extract files
const zip = new AdmZip(zipPath)
zip.extractAllTo(extractPath, true)
logger.info(`Extracted files to: ${extractPath}`)
return { path: extractPath }
} catch (error) {
logger.warn(
`Failed to upload and extract file: ${(error as Error).message}, retry ${retries + 1}/${maxRetries}`
)
if (retries === maxRetries - 1) {
throw error
}
} finally {
// Delete temporary ZIP file
if (zipPath && fs.existsSync(zipPath)) {
try {
fs.unlinkSync(zipPath)
logger.info(`Deleted temporary ZIP file: ${zipPath}`)
} catch (deleteError) {
logger.warn(`Failed to delete temporary ZIP file ${zipPath}:`, deleteError as Error)
}
}
}
retries++
await new Promise((resolve) => setTimeout(resolve, intervalMs))
}
throw new Error(`Processing timeout for file: ${file.id}`)
}
}

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