https://github.com/migeyusu/llm-client-sharp
https://github.com/migeyusu/llm-client-sharp
dotnet github-copilot wpf
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/migeyusu/llm-client-sharp
- Owner: migeyusu
- Created: 2025-01-13T10:58:48.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-02-18T06:40:37.000Z (over 1 year ago)
- Last Synced: 2025-02-18T07:35:29.738Z (over 1 year ago)
- Topics: dotnet, github-copilot, wpf
- Language: Bluespec
- Homepage:
- Size: 52.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
[English](README.md) | [简体中文](README.zh-CN.md)
# LLM Client for WPF
A lightweight, open-source large language model (LLM) client built with `.NET` and `WPF`. This project provides an intuitive and feature-rich interaction tool for utilizing various LLM services. By default, it supports some GitHub Copilot service models (e.g., `GPT-4o`, `O1`, and `DeepSeek`), with planned extensions for other endpoints.
## Key Features
1. **Pure .NET WPF Implementation**
- Built with the `MaterialDesign` library for a modern UI.
- Uses `Microsoft.Extensions.AI` for seamless LLM API integration.
2. **Basic LLM Interaction**
- Configure and interact with language models.
3. **Code Highlighting**
- Integrated `TextmateSharp` for syntax highlighting in various programming languages.
4. **Context Management**
- Manually manage chat context by excluding specific conversation entries without deleting them.
5. **Theme Switching**
- Supports light and dark themes for UI.
- Allows switching between different code highlighting themes.
6. **UI Performance Optimization**
- Conversation records implement UI virtualization for improved performance with large data sets.
7. **Markdown Export**
- Save chat history in Markdown format for sharing or archiving.
## Project Screenshots
## Planned Features
The following features are under active development:
1. **Multi-Endpoint Support**
- Add support for other LLM endpoints, such as `Claude`.
2. **Chain-of-Thought (CoT) Presets**
- Enable users to orchestrate predefined Chain-of-Thought (CoT) workflows for multi-step reasoning.
3. **Auto-CoT**
- Automatically generate Chain-of-Thought processes for better handling of complex tasks.
4. **RAG Integration**
- Introduce Retrieval-Augmented Generation (RAG) for advanced knowledge-driven generation.
5. **Automatic Context Management**
- Offer intelligent context management, eliminating the need for manual exclusions.
6. **Multi-Model Output Comparison**
- Compare outputs from different LLMs for better model evaluation.
7. **Searching Functionality**
- Quickly search through chat history and knowledge base content.
## How to Get Involved
This project is still in active development. You can contribute in the following ways:
1. **Submit Issues or Pull Requests**: All bug reports, feature requests, or suggestions are welcome!
2. **Become a Contributor**: Fork this repository and submit your changes through Pull Requests.
3. **Contact the Author**: Reach out via [GitHub Issues](https://github.com/) for questions or collaboration opportunities.
## Usage Instructions
> Detailed instructions on how to compile, run, and configure the project will be added.
## Acknowledgements
Special thanks to the following open-source libraries and tools:
- [MaterialDesignInXAML](https://github.com/MaterialDesignInXAML/MaterialDesignInXamlToolkit)
- [TextmateSharp](https://github.com/microsoft/TextMateSharp)
- [Microsoft.Extensions.AI](https://learn.microsoft.com/en-us/dotnet/)
- And other great tools and frameworks not listed here.
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This is a project full of potential. Contributions are warmly welcomed!