​
What is PromptL?

PromptL is a versatile, user-friendly language that simplifies defining and managing dynamic prompts for LLMs. Whether you’re a developer or a non-technical user, PromptL offers a human-readable format that doesn’t compromise on power or flexibility.

​
Why PromptL?

While LLMs are becoming more powerful and popular by the day, defining prompts for them can be a daunting task. All main LLM providers, despite their differences, have adopted a similar structure for their prompting. It consists of a conversation between the user and assistant, which is defined by a list of messages and a series of configuration options. In response, it will return an assistant message as a reply.

This structure looks something like this:

{
  "model": "<your-model>",
  "temperature": 0.6,
  "messages": [
    {
      "type": "system",
      "content": "You are an AI assistant that writes personalized birthday messages."
    },
    {
      "type": "user",
      "content": "Write a birthday message for Tom, who loves programming!"
    }
  ]
}

This structure, while straightforward, presents challenges:

  • Difficult to Write: Non-technical users find JSON hard to write and understand.
  • Static and Rigid: Simple structures aren’t ideal for dynamic, user-driven conversations.
  • Code Overhead: Customizing prompts requires repetitive, often messy code.

PromptL solves these issues by offering:

Readable and Maintainable Syntax: Easily write and manage prompts. Dynamic Flexibility: Add dynamic variables to adapt prompts to different scenarios. Powerful Logic in a Single File: Incorporate logic to handle complex workflows with ease.

Here’s the same prompt using PromptL:

---
model: <your-model>
temperature: 0.6
---

You are an AI assistant that writes personalized birthday messages.

<user>
  Write a birthday message for {{ name }} who loves {{ hobby }}!
</user>

In this case, not only the syntax is way more readable and maintainable, but it also allows for dynamic generation of prompts by using variables like {{ name }} and {{ hobby }}!

​
What’s Next?

This is just a small example of what PromptL can do. It’s a powerful tool to help you define smarter, more dynamic prompts for your LLMs. Ready to learn more? Let’s dive in!

​
What is PromptL?

PromptL is a versatile, user-friendly language that simplifies defining and managing dynamic prompts for LLMs. Whether you’re a developer or a non-technical user, PromptL offers a human-readable format that doesn’t compromise on power or flexibility.

​
Why PromptL?

While LLMs are becoming more powerful and popular by the day, defining prompts for them can be a daunting task. All main LLM providers, despite their differences, have adopted a similar structure for their prompting. It consists of a conversation between the user and assistant, which is defined by a list of messages and a series of configuration options. In response, it will return an assistant message as a reply.

This structure looks something like this:

{
  "model": "<your-model>",
  "temperature": 0.6,
  "messages": [
    {
      "type": "system",
      "content": "You are an AI assistant that writes personalized birthday messages."
    },
    {
      "type": "user",
      "content": "Write a birthday message for Tom, who loves programming!"
    }
  ]
}

This structure, while straightforward, presents challenges:

  • Difficult to Write: Non-technical users find JSON hard to write and understand.
  • Static and Rigid: Simple structures aren’t ideal for dynamic, user-driven conversations.
  • Code Overhead: Customizing prompts requires repetitive, often messy code.

PromptL solves these issues by offering:

Readable and Maintainable Syntax: Easily write and manage prompts. Dynamic Flexibility: Add dynamic variables to adapt prompts to different scenarios. Powerful Logic in a Single File: Incorporate logic to handle complex workflows with ease.

Here’s the same prompt using PromptL:

---
model: <your-model>
temperature: 0.6
---

You are an AI assistant that writes personalized birthday messages.

<user>
  Write a birthday message for {{ name }} who loves {{ hobby }}!
</user>

In this case, not only the syntax is way more readable and maintainable, but it also allows for dynamic generation of prompts by using variables like {{ name }} and {{ hobby }}!

​
What’s Next?

This is just a small example of what PromptL can do. It’s a powerful tool to help you define smarter, more dynamic prompts for your LLMs. Ready to learn more? Let’s dive in!