Prompty Extension for Visual Studio Code

Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers. The primary goal is to accelerate the developer inner loop.

This Visual Studio Code extension offers an intuitive prompt playground within VS Code to streamline the prompt engineering process.

What is Prompty?

Specification

Prompty standardizes prompts and their execution into a single asset.

VSCode Extension Features

Github Models

Github models are supported. You can:

• Quick Create prompty from any model
• Run prompty with a selected model. Run buttons in tree view will override values specified in .prompty

Quick Create

Quickly create a basic prompty by right-clicking in the VS Code explorer and selecting "New Prompty."

Preview

Preview prompty similar to markdown with dynamic template rendering while typing, allowing you to see the prompt that will be sent to the model.

Define and Switch Model Configurations

• Define your model configurations directly in VS Code.

• Quickly switch between different model configurations.

  

  

• Use VS Code settings to define model configuration at:

  • User level for use across different prompty files.

  • Workspace level to share with team members via Git.

    

• We strongly encourage using Azure Active Directory authentication for enhanced security. Leave the api_key empty to trigger AAD auth.

• OpenAI is also supported. You can store the key in VSCode settings or use ${env:xxx} to read the API key from an environment variable.

  • You can put environment variables in .env file, in the same folder of the prompty file, or in the workspace root folder.
  • Alternatively, you can also specify it in system variables, follow OpenAI's Guide for key safety, setting it through Control Panel/zsh/bash, and then restart VS Code to load new values.

Quick Run

Hit F5 or click the Run button at the top. There are two output windows:

• Prompty Output shows a concise view.

  

• Prompty Output (Verbose) shows detailed requests sent and received.

  

Using Prompty in Code

You can use Prompty in your code by importing the prompty package. This package is available on PyPI and can be installed using pip install prompty.

Orchestrator Integration

Prompty is also supported by popular orchestration frameworks:

• Prompt flow
• Langchain
• Semantic Kernel

Right-click on a .prompty file to quickly generate integration snippets.

Feedback

Submit your feedback about Prompty or the VS Code extension to the Microsoft/prompty GitHub repository.

Documentation

• https://prompty.ai