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Pipeline variables are working similarly to the environment variables in the pipeline execution. You can define the pipeline variables in the Variables tab and use them in the pipeline steps. Navigate how to create pipeline variables with the demos below:
There are two types of pipeline variables:
  • Input Variables: The variables that are injected into the pipeline steps.
  • Output Variables: The variables that are generated from the pipeline steps.

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Input variables

Input variables are used within the pipeline and directly impact its output.
For input variables, you can define the following options:
  • Name: Name of the variable.
  • Description: Description of the variable.
  • Type: Either String or Choice; For the Choice type, you can define the choice options. Both options are treated as a string, but the Choice type provides a dropdown menu in the pipeline execution.
  • Value: Default value of the variable.

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Output variables

Output variables are a way to pass the result of a pipeline to another pipeline. For example, if you have a step that trains a model and you want to pass the model path to another step, you can define an output variable in the training step and use it in the next step.
For output variables, you can define the following options:
  • Name: Name of the variable.
  • Description: Description of the variable.
  • Source: The source where the variable is generated. You can choose the either constant, pipeline step or input variable.
  • Value: The value of the variable. If the source is a pipeline step, you can define the step reference and claim name.