fba6c1642d
* feat: implement tool call progress handling and status updates - Update MCP tool response handling to include 'pending' and 'cancelled' statuses. - Introduce new IPC channel for progress updates. - Enhance UI components to reflect tool call statuses, including pending and cancelled states. - Add localization for new status messages in multiple languages. - Refactor message handling logic to accommodate new tool response types. * fix: adjust alignment of action tool container in MessageTools component - Change justify-content from flex-end to flex-start to improve layout consistency. * feat: enhance tool confirmation handling and update related components - Introduced a new tool confirmation mechanism in userConfirmation.ts, allowing for individual tool confirmations. - Updated GeminiAPIClient and OpenAIResponseAPIClient to include tool configuration options. - Refactored MessageTools component to utilize new confirmation functions and improved styling. - Enhanced mcp-tools.ts to manage tool invocation and confirmation processes more effectively, ensuring real-time status updates. * refactor(McpToolChunkMiddleware): enhance tool execution handling and confirmation tracking - Updated createToolHandlingTransform to manage confirmed tool calls and results more effectively. - Refactored executeToolCalls and executeToolUseResponses to return both tool results and confirmed tool calls. - Adjusted buildParamsWithToolResults to utilize confirmed tool calls for building new request messages. - Improved error handling in messageThunk for tool call status updates, ensuring accurate block ID mapping. * feat(McpToolChunkMiddleware, ToolUseExtractionMiddleware, mcp-tools, userConfirmation): enhance tool execution and confirmation handling - Updated McpToolChunkMiddleware to execute tool calls and responses asynchronously, improving performance and response handling. - Enhanced ToolUseExtractionMiddleware to generate unique tool IDs for better tracking. - Modified parseToolUse function to accept a starting index for tool extraction. - Improved user confirmation handling with abort signal support to manage tool action confirmations more effectively. - Updated SYSTEM_PROMPT to clarify the use of multiple tools per message. * fix(tagExtraction): update test expectations for tag extraction results - Adjusted expected length of results from 7 to 9 to reflect changes in tag extraction logic. - Modified content assertions for specific tag contents to ensure accurate validation of extracted tags. * refactor(GeminiAPIClient, OpenAIResponseAPIClient): remove unused function calling configurations - Removed the unused FunctionCallingConfigMode from GeminiAPIClient to streamline the code. - Eliminated the parallel_tool_calls property from OpenAIResponseAPIClient, simplifying the tool call configuration. * feat(McpToolChunkMiddleware): enhance LLM response handling and tool call confirmation - Added notification to UI for new LLM response processing before recursive calls in createToolHandlingTransform. - Improved tool call confirmation logic in executeToolCalls to match tool IDs more accurately, enhancing response validation. * refactor(McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): remove unnecessary console logs - Eliminated redundant console log statements in McpToolChunkMiddleware, ToolUseExtractionMiddleware, and messageThunk to clean up the code and improve performance. - Focused on enhancing readability and maintainability by reducing clutter in the logging output. * refactor(McpToolChunkMiddleware): remove redundant logging statements - Eliminated unnecessary logging in createToolHandlingTransform to streamline the code and enhance readability. - Focused on reducing clutter in the logging output while maintaining error handling functionality. * feat: enhance action button functionality with cancel and confirm options * refactor(AbortHandlerMiddleware, McpToolChunkMiddleware, ToolUseExtractionMiddleware, messageThunk): improve error handling and code clarity - Updated AbortHandlerMiddleware to skip abort status checks if an error chunk is received, enhancing error handling logic. - Replaced console.error with Logger.error in McpToolChunkMiddleware for consistent logging practices. - Refined ToolUseExtractionMiddleware to improve tool use extraction logic and ensure proper handling of tool_use tags. - Enhanced messageThunk to include initialPlaceholderBlockId in block ID checks, improving error state management. * refactor(ToolUseExtractionMiddleware): enhance tool use parsing logic with counter - Introduced a toolCounter to track the number of tool use responses processed. - Updated parseToolUse function calls to include the toolCounter, improving the extraction logic and ensuring accurate response handling. * feat(McpService, IpcChannel, MessageTools): implement tool abort functionality - Added Mcp_AbortTool channel to handle tool abortion requests. - Implemented abortTool method in McpService to manage active tool calls and provide logging. - Updated MessageTools component to include an abort button for ongoing tool calls, enhancing user control. - Modified API calls to support optional callId for better tracking of tool executions. - Added localization strings for tool abort messages in multiple languages. --------- Co-authored-by: Vaayne <liu.vaayne@gmail.com> |
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English | 中文 | Official Site | Documents | Development | Feedback
🍒 Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
👏 Join Telegram Group｜Discord | QQ Group(575014769)
❤️ Like Cherry Studio? Give it a star 🌟 or Sponsor to support the development!
🌠 Screenshot
🌟 Key Features
- Diverse LLM Provider Support:
- ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
- 🔗 AI Web Service Integration: Claude, Peplexity, Poe, and others
- 💻 Local Model Support with Ollama, LM Studio
- AI Assistants & Conversations:
- 📚 300+ Pre-configured AI Assistants
- 🤖 Custom Assistant Creation
- 💬 Multi-model Simultaneous Conversations
- Document & Data Processing:
- 📄 Support for Text, Images, Office, PDF, and more
- ☁️ WebDAV File Management and Backup
- 📊 Mermaid Chart Visualization
- 💻 Code Syntax Highlighting
- Practical Tools Integration:
- 🔍 Global Search Functionality
- 📝 Topic Management System
- 🔤 AI-powered Translation
- 🎯 Drag-and-drop Sorting
- 🔌 Mini Program Support
- ⚙️ MCP(Model Context Protocol) Server
- Enhanced User Experience:
- 🖥️ Cross-platform Support for Windows, Mac, and Linux
- 📦 Ready to Use, No Environment Setup Required
- 🎨 Light/Dark Themes and Transparent Window
- 📝 Complete Markdown Rendering
- 🤲 Easy Content Sharing
📝 Roadmap
We're actively working on the following features and improvements:
- 🎯 Core Features
- Selection Assistant - Smart content selection enhancement
- Deep Research - Advanced research capabilities
- Memory System - Global context awareness
- Document Preprocessing - Improved document handling
- MCP Marketplace - Model Context Protocol ecosystem
- 🗂 Knowledge Management
- Notes and Collections
- Dynamic Canvas visualization
- OCR capabilities
- TTS (Text-to-Speech) support
- 📱 Platform Support
- HarmonyOS Edition (PC)
- Android App (Phase 1)
- iOS App (Phase 1)
- Multi-Window support
- Window Pinning functionality
- 🔌 Advanced Features
- Plugin System
- ASR (Automatic Speech Recognition)
- Assistant and Topic Interaction Refactoring
Track our progress and contribute on our project board.
Want to influence our roadmap? Join our GitHub Discussions to share your ideas and feedback!
🌈 Theme
- Theme Gallery: https://cherrycss.com
- Aero Theme: https://github.com/hakadao/CherryStudio-Aero
- PaperMaterial Theme: https://github.com/rainoffallingstar/CherryStudio-PaperMaterial
- Claude dynamic-style: https://github.com/bjl101501/CherryStudio-Claudestyle-dynamic
- Maple Neon Theme: https://github.com/BoningtonChen/CherryStudio_themes
Welcome PR for more themes
🤝 Contributing
We welcome contributions to Cherry Studio! Here are some ways you can contribute:
- Contribute Code: Develop new features or optimize existing code.
- Fix Bugs: Submit fixes for any bugs you find.
- Maintain Issues: Help manage GitHub issues.
- Product Design: Participate in design discussions.
- Write Documentation: Improve user manuals and guides.
- Community Engagement: Join discussions and help users.
- Promote Usage: Spread the word about Cherry Studio.
Refer to the Branching Strategy for contribution guidelines
Getting Started
- Fork the Repository: Fork and clone it to your local machine.
- Create a Branch: For your changes.
- Submit Changes: Commit and push your changes.
- Open a Pull Request: Describe your changes and reasons.
For more detailed guidelines, please refer to our Contributing Guide.
Thank you for your support and contributions!
🔧 Developer Co-creation Program
We are launching the Cherry Studio Developer Co-creation Program to foster a healthy and positive-feedback loop within the open-source ecosystem. We believe that great software is built collaboratively, and every merged pull request breathes new life into the project.
We sincerely invite you to join our ranks of contributors and shape the future of Cherry Studio with us.
Contributor Rewards Program
To give back to our core contributors and create a virtuous cycle, we have established the following long-term incentive plan.
The inaugural tracking period for this program will be Q3 2025 (July, August, September). Rewards for this cycle will be distributed on October 1st.
Within any tracking period (e.g., July 1st to September 30th for the first cycle), any developer who contributes more than 30 meaningful commits to any of Cherry Studio's open-source projects on GitHub is eligible for the following benefits:
- Cursor Subscription Sponsorship: Receive a $70 USD credit or reimbursement for your Cursor subscription, making AI your most efficient coding partner.
- Unlimited Model Access: Get unlimited API calls for the DeepSeek and Qwen models.
- Cutting-Edge Tech Access: Enjoy occasional perks, including API access to models like Claude, Gemini, and OpenAI, keeping you at the forefront of technology.
Growing Together & Future Plans
A vibrant community is the driving force behind any sustainable open-source project. As Cherry Studio grows, so will our rewards program. We are committed to continuously aligning our benefits with the best-in-class tools and resources in the industry. This ensures our core contributors receive meaningful support, creating a positive cycle where developers, the community, and the project grow together.
Moving forward, the project will also embrace an increasingly open stance to give back to the entire open-source community.
How to Get Started?
We look forward to your first Pull Request!
You can start by exploring our repositories, picking up a good first issue, or proposing your own enhancements. Every commit is a testament to the spirit of open source.
Thank you for your interest and contributions.
Let's build together.
🏢 Enterprise Edition
Building on the Community Edition, we are proud to introduce Cherry Studio Enterprise Edition—a privately deployable AI productivity and management platform designed for modern teams and enterprises.
The Enterprise Edition addresses core challenges in team collaboration by centralizing the management of AI resources, knowledge, and data. It empowers organizations to enhance efficiency, foster innovation, and ensure compliance, all while maintaining 100% control over their data in a secure environment.
Core Advantages
- Unified Model Management: Centrally integrate and manage various cloud-based LLMs (e.g., OpenAI, Anthropic, Google Gemini) and locally deployed private models. Employees can use them out-of-the-box without individual configuration.
- Enterprise-Grade Knowledge Base: Build, manage, and share team-wide knowledge bases. Ensure knowledge is retained and consistent, enabling team members to interact with AI based on unified and accurate information.
- Fine-Grained Access Control: Easily manage employee accounts and assign role-based permissions for different models, knowledge bases, and features through a unified admin backend.
- Fully Private Deployment: Deploy the entire backend service on your on-premises servers or private cloud, ensuring your data remains 100% private and under your control to meet the strictest security and compliance standards.
- Reliable Backend Services: Provides stable API services, enterprise-grade data backup and recovery mechanisms to ensure business continuity.
✨ Online Demo
🚧 Public Beta Notice
The Enterprise Edition is currently in its early public beta stage, and we are actively iterating and optimizing its features. We are aware that it may not be perfectly stable yet. If you encounter any issues or have valuable suggestions during your trial, we would be very grateful if you could contact us via email to provide feedback.
Version Comparison
| Feature | Community Edition | Enterprise Edition |
|---|---|---|
| Open Source | ✅ Yes | ⭕️ part. released to cust. |
| Cost | Free for Personal Use / Commercial License | Buyout / Subscription Fee |
| Admin Backend | — | ● Centralized Model Access ● Employee Management ● Shared Knowledge Base ● Access Control ● Data Backup |
| Server | — | ✅ Dedicated Private Deployment |
Get the Enterprise Edition
We believe the Enterprise Edition will become your team's AI productivity engine. If you are interested in Cherry Studio Enterprise Edition and would like to learn more, request a quote, or schedule a demo, please contact us.
- For Business Inquiries & Purchasing: 📧 bd@cherry-ai.com
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