Process Arguments

Process Arguments let you set up input and output variables for your automation processes. You can use them to send data into a process or get results back, especially when you're using the client API.

How to Use Process Arguments

Every process in Robotiq.ai has a "Process Arguments" step. This is where you set up the variables your process will use.

Step 1: Open the Process Arguments Editor

1. Open your process.
2. Right-click the "Process Arguments" step.
3. Choose "Edit" to open the editor window.

Step 2: Add Arguments

You can add two kinds of arguments:

• Input Arguments: These variables change each time the process runs. They send data into the process.

Output Arguments: These variables give information about what the process did. They send data out of the process.

Click the "Add argument" button.

• Pick the argument type (Input or Output).
• Set the variable type:
  • Integer
  • Decimal
  • Boolean
  • String
  • DateTime
• Type in a default value for the argument.
• Do these steps again to add more arguments.

Important: Always set default values for your arguments. These values are used when you're building and testing. For output arguments, a default value helps show if the process failed before it could set a real value.

Step 3: Confirm Changes

1. After you've added all arguments, click "Confirm".
2. Save your process. All changes to Process Arguments will be saved.

When to Use Process Arguments

• Development: Default values make sure your process has data to work with while you build and test it.
• Unattended Modes (Test or Production): When you run processes without someone watching them (like in Test or Production stages), you set the input arguments for each run. This happens when you create a job using the API or set up a Scheduler.
• API Communication: Output arguments are mainly used for APIs to share the results of the robot's work.

Related Articles

• Processes - Learn how to create and manage your automation processes.
• Global variables - Understand the difference between process arguments and global variables.

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