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Update dsl.md
Co-authored-by: Ricardo Zanini <1538000+ricardozanini@users.noreply.github.com>
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dsl.md

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@@ -187,7 +187,7 @@ The input data for the task can be transformed to match the specific requirement
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*Example: If the task is a function call that only needs a subset of the workflow input, a transformation can be applied to provide only those fields needed for the function to execute.*
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5. **Transform Task Output**
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After completing the task, its output can be transformed before passing it to the next task or storing it in the workflow context. Transformations are applied using the `output.as` runtime expression. It evaluates on the raw task output and defaults to the identity expression, which leaves the output unchanged. Its result will be input for the next task.
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After completing the task, its output can be transformed before passing it to the next task or storing it in the workflow context. Transformations are applied using the `output.as` runtime expression. It evaluates the raw task output and defaults to the identity expression, which leaves the output unchanged. Its result will be input for the next task.
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*Example: If the task returns a large dataset, a transformation can be applied to retain only the relevant results needed for subsequent tasks.*
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