AI Assistant for Connectors

The AI Assistant for Connectors is an AI-powered assistant available in specific connectors. It helps you configure your integrations more quickly by generating configuration content based on the input and context you provide.

How to use the AI Assistant for Connectors

In supported connectors, you’ll see the Write with AI button. This means the connector has fields that can be configured with the help of AI.

Clicking the button opens a side panel next to the connector configuration form. In this panel, you can provide the following information:

• Input: Insert or upload a JSON file representing the expected input.

• Output: Insert or upload a JSON file representing the desired output.

• Prompt: Provide additional context or instructions to guide the AI.

The AI will analyze the data and generate a response directly in the connector’s configuration form.

You can refine the AI’s response up to 5 times. After that, you’ll need to reset the AI to continue.

What are the supported connectors?

• Transformer (JOLT) V2: Available in the JOLT field.

• REST V2: Available in the Body field when performing POST operations.

AI Assistant usage examples

Transformer (JOLT) V2

Let’s say you want to enrich customer data by adding a default birth date.

AI configuration

Input:

{
  "customer": {
    "name": "Customer Default",
    "ssn": "123-45-6789"
  }
}

Output:

{
  "customer": {
    "name": "Customer Default",
    "ssn": "123-45-6789",
    "birthDate": "01/01/1970"
  }
}

Prompt:

Ensure that the output JSON includes the birthDate field, even if it’s missing from the input.

AI-generated response

The AI might generate the following JOLT specification:

[
  {
    "operation": "default",
    "spec": {
      "customer": {
        "birthDate": "01/01/1970"
      }
    }
  }
]

AI responses are generative, which means the structure and wording may vary slightly across attempts.

REST V2

Suppose you want to transform user information into a transaction object, mapping the user’s id, email, and name directly, while populating the role field with a Double Braces expression ({{ message.role.id }}).

AI configuration

Input:

{
  "user": {
    "name": "Alice",
    "email": "[e-mail]",
    "id": 123
  }
}

Output:

{
  "transaction": {
    "user_id": "",
    "contact": {
      "email": "",
      "full_name": ""
    },
    "role": ""
  }
}

Prompt:

Fill the "transaction" object with input user data (no Double Braces):

• "user_id" = user.id

• "contact.email" = user.email

• "contact.full_name" = user.name

• "role" = {{ message.role.id }}

By default, empty fields are populated with Double Braces expressions. If you don’t want them applied, make sure to indicate this in the prompt.

AI-generated response

The AI may produce the following JSON:

{
  "transaction": {
    "user_id": 123,
    "contact": {
      "email": "[e-mail]",
      "full_name": "Alice"
    },
    "role": "{{ message.role.id }}"
  }
}

AI responses are generative, so the structure and wording may vary slightly across attempts.