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PromptMage

Simplify building multi-step LLM applications with version control and testing

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PromptMage

Target Audience

  • LLM Developers
  • AI Researchers
  • Technical Teams Building AI Workflows

Hashtags

#AIDevelopment#VersionControl#LLMWorkflow#PythonAI

Overview

PromptMage is a Python framework that helps developers create and manage complex AI workflows using large language models (LLMs). It handles the messy parts of prompt engineering by offering version control, testing tools, and automatic API generation. Teams can collaborate better and deploy reliable LLM applications faster without reinventing infrastructure.

Key Features

1

Version Control

Track prompt changes and collaborate seamlessly with built-in history

2

Prompt Playground

Test and compare prompts side-by-side in dedicated interface

3

Auto-API

Instant FastAPI endpoints for deploying LLM workflows

4

Evaluation Mode

Validate prompt performance before production deployment

Use Cases

🔍

Analyze product reviews from multiple sources

🛠️

Build custom LLM-powered web apps

🔄

Test multiple prompt variations simultaneously

📊

Validate AI model performance metrics

Pros & Cons

Pros

  • Built-in version control for prompt evolution tracking
  • Local/self-hosted deployment options
  • Automatic API generation reduces integration work
  • Type-hinting support for error prevention

Cons

  • Alpha status means breaking API changes possible
  • Requires Python development skills to implement
  • Limited third-party integrations mentioned

Frequently Asked Questions

Can I use PromptMage for team collaborations?

Yes, built-in version control helps teams track prompt changes and work together effectively

Is my data stored locally?

Yes, PromptMage is designed as a self-hosted solution for data control

How do I integrate existing LLM models?

The framework provides API endpoints that can connect with your chosen LLM providers

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