OpenAI Node

The OpenAI node allows you to use AI in your workflows to process, transform, and generate text dynamically.

It can be used for tasks such as summarization, classification, content generation, data formatting, and more.

What the OpenAI Node Does

The OpenAI node takes input from previous nodes, sends it to an AI model, and returns a response that can be used in the rest of your workflow.

For example:

• Summarizing order data

• Generating customer messages

• Classifying support tickets

• Transforming raw API responses into structured output

Setting Up OpenAI Credentials

Syncaut use https://platform.openai.com/login a BYOK (Bring Your Own Key) model, so you need your own OpenAI API key.

To get your API key:

1. Go to the OpenAI dashboard

2. Navigate to API Keys

3. Click Create new secret key

4. Copy and store the key securely

In Syncaut:

1. Go to Credentials

2. Create a new credential

3. Paste your OpenAI API key

4. Save

You can now select this credential inside the OpenAI node.

Configuring the OpenAI Node

When you add an OpenAI node, you will configure the following fields:

Variable Name

This defines how the AI output will be referenced in other nodes.

Example:

myOpenAI

You can access the result using:

{{myOpenAI.text}}

Use clear and descriptive names so your workflow is easier to understand.

OpenAI Credentials

Select the credential containing your OpenAI API key.

This allows the node to authenticate and send requests to OpenAI.

System Prompt (Optional)

The system prompt defines the behavior of the AI.

It acts as instructions that guide how the AI should respond.

Example:

You are a helpful assistant that summarizes e-commerce data clearly and concisely.

You can also use variables:

• {{variable}} for simple values

• {{json variable}} for structured data

User Prompt

This is the main input sent to the AI.

It usually contains dynamic data from previous nodes.

Example:

Summarize this order data: {{json httpResponse.data}}

The user prompt determines what the AI should do.

Using Data from Other Nodes

The OpenAI node supports dynamic inputs using variables.

• Use {{variable}} for simple values

• Use {{json variable}} when passing objects or arrays

Example:

Write a short summary of this data: {{json shopifyOrder}}

This allows you to chain AI processing into any workflow.

Using OpenAI Output in Other Nodes

After the OpenAI node runs, its output can be used in downstream nodes.

Example:

{{myOpenAI.text}}

You can pass this into:

• Slack messages

• Emails

• Databases

• APIs

This enables fully automated AI-powered workflows.

Common Use Cases

• Summarizing API responses

• Generating product descriptions

• Creating customer support replies

• Classifying or tagging data

• Cleaning and structuring raw input

Best Practices

• Keep prompts clear and specific

• Use system prompts to control tone and behavior

• Use {{json}} when passing structured data

• Avoid overly long or unnecessary input data

• Test outputs before using in production workflows

The OpenAI node allows you to bring intelligent automation into your workflows, making it possible to process and act on data in ways that go beyond traditional rule-based systems.