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What is the AI Studio?

SINCE 11 - BETA

The AI Studio is a set of tools and UI components seamless integrated into PIPEFORCE to boost your process automation and data integration tasks to a next level using artificial intelligence such as LLM (Large Language Models) for example.

BETA

Note that the AI Studio components including all ai.* commands are in BETA. This means definitions, interfaces and documentation is not final and could change without further notice.

Configure AI Backend (secret)

Before you can start, an AI backend needs to be configured. Depending on your license, by default PIPEFORCE comes with it’s own built-in AI backend which is located in Germany.

If you do not specify otherwise, this AI backend is used by default.

But you can switch this default backend or use multiple AI backends in parallel. To do so, you have to configure the credentials and settings for those AI backends as secrets of type secret-text and place a JSON into the secret value which has a structure like this:

{
  "base_url": "string",
  "model": "string",
  "api_token": "string",
  "max_token": "integer",
  "custom_headers": { "name": "value" }
}

Whereas:

  • base_url: The base url of the API (requried).

  • model: The AI model to be used (required).

  • api_token: The security token to be used.

  • max_token: The max token to be send (defaults to 800)

  • custom_headers: Key-value pairs to be passed along as HTTP headers on any request.

Connect to OpenAI (ChatGPT)

In case you would like to connect to the OpenAI services for example, you could use these settings in your secret:

{
  "base_url": "https://api.openai.com/v1",
  "model": "gpt-3.5-turbo",
  "api_token": "your_token",
  "max_token": 800
}

Text-to-Command

This powerful feature of the AI Studio takes a non-structured text such as an email, a chat message or a PDF document for example, analyses it using AI and then automatically detects and executes the according PIPEFORCE command including its parameters which must be executed in order to take action and fulfill the use request. Here are some examples where this feature could be helpful:

  • Automatically forward emails to the responsible internal team
    Scan any email sent to a given inbox such as info@mycompany.tld for example, find out the intention of the sender, then forward the email to the internal team such as support, sales, … which can handle the request. The AI can find out whether it is a support request, an order request, a question regarding an invoice or any other types just by writing an advice without any programming. It can also automatically detect and extract all required data such as customerId, invoiceNumber and more from the email and pass it along with the internal email.

  • Automatically start an internal workflow by email
    Scan any email sent to a given inbox such as invoice@mycompany.tld for example and if this email matches to an existing workflow, extract all variables required for this workflow from the email, start the workflow and pass these variables along with it. For example to start an accounts payable workflow based on an given payable invoice.

  • Automatically call endpoints of other systems by email
    Scan any email sent to a given inbox such as info@mycompany.tld for example and if this email is related to a service, offered by a third party system which provides an remote API, call this remote API (for example REST) and pass along parameters extracted from the email. For example create a new ticket on an external ticket system.

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