Prompt Mixer

Prompt Mixer is an open source desktop application designed for prompt engineering workflows. It provides a collaborative workspace where teams of managers, engineers, and data specialists can work together to create AI-powered solutions. The tool enables users to create, version, test, and evaluate prompts and chains across multiple AI models and providers.

Key Features:

• Markdown-based Prompt Creation - Create prompts and entire chains using Markdown syntax with an intuitive interface
• Automatic Version Control - Track, save, and tag prompt iterations automatically to maintain a complete history of changes
• AI-Powered Enhancement - Effortlessly improve prompts for large language models using built-in recommendations or one-click optimization
• Dataset Integration - Incorporate datasets into prompts where each dataset item becomes an accessible option or variant within the prompt
• Multi-Model Testing - Compare multiple prompts, chains, parameters, and model suppliers side by side
• Flexible Connectors - Integrate with popular AI providers, both open-source and proprietary, using built-in or custom connectors
• Output Logging - Create, store, and manage AI-generated logs containing input, output, configuration details, and feedback
• Built-in Evaluation Metrics - Validate output using regex matching, semantic similarity, JSON schema validation, or external API endpoints
• Custom Evaluation Scripts - Run custom JavaScript or Python code to evaluate the output of any prompt
• Team Collaboration - Synchronize chains and outputs between devices and collaborate on prompts with team members

To get started, download the desktop application from the website. The free tier includes all main functions for personal use. Create prompts using the Markdown editor, connect to your preferred AI providers through connectors, and begin testing different model configurations. Use datasets to run batch evaluations and leverage the built-in metrics to assess prompt performance across various use cases including content generation, data extraction, and document Q&A.