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Promptingtools.jl

PromptingTools.jl is an MIT-licensed Julia package that provides prompt macros and templating for interacting with large language models, returning generated messages for further processing in Julia.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Promptingtools.jl — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a Julia workflow needs prompt-based model interaction, templated inputs, or generated responses available as Julia objects. The project frames it as an everyday tool and prototype aid rather than a foundation for large-scale systems.

Who it is for

  • Julia developers adding language-model calls to scripts or data-science projects
  • Developers prototyping generative-AI workflows in Julia

Documented uses

  • Send a prompt to a language model from Julia code.
  • Build prompts from interpolated variables or reusable templates.
  • Continue a conversation and pass generated message content into downstream code.
  • Save conversations as files for a separate fine-tuning data-preparation workflow.
Before you choose

Requirements & limits

The package is installed with Julia’s package manager. The documented OpenAI quick start requires an API key and notes a $5 minimum credit purchase; this billing requirement applies to that provider-specific path.

  • The project is a Julia package, so its examples and setup assume a Julia environment.
  • The README demonstrates macros, interpolated prompts, handlebars-style templates, continuing conversations, asynchronous calls and model selection flags.
  • The README names Ollama, MistralAI and other OpenAI-compatible APIs, and Anthropic models; provider setup and supported operations should be checked in the documentation.
  • RAG functionality has moved from PromptingTools.Experimental.RAGTools to the separate RAGTools.jl package.
  • The README says the package is intended for everyday use rather than building large-scale systems.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the package and make an OpenAI prompt

Set up PromptingTools.jl and send a simple prompt using the documented OpenAI quick start.

Before you start

  • Julia and its package manager
  • An OpenAI API key set as the OPENAI_API_KEY environment variable
  • OpenAI credits; the README states a $5 minimum for its quick start

Steps

  1. In Julia, install the package with Pkg.add("PromptingTools").

  2. Import it with using PromptingTools.

  3. Set ENV["OPENAI_API_KEY"] to your key.

  4. Send a prompt with the @ai_str macro, for example ai"What is the capital of France?".

  5. Read the generated message from the returned object’s content field.

Expected outcome

A generated AIMessage is returned for use in subsequent Julia code.

Guide limitations

  • This recipe follows the README’s OpenAI quick start; provider-specific setup for other integrations is not covered here.
  • The README’s OpenAI billing note is specific to its stated quick-start instructions.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
14 October 2026
Original website title
svilupp/PromptingTools.jl · Official homepage title · retained in its source language
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