A.I in Knime with Replace row values

I have a question about AI in KNIME

Is it possible to create an Agent and “tools” that perform a “Replace” on fields within KNIME?

Example:

Imagine I have a table with 10 columns of value, and a lot of rows.

Imagine I need to validate certain rules across some of these columns.

Using KNIME nodes:

If I wanted to validate these columns, I would use the Column Expressions node (which I prefer) and write several IF statements to identify the issues, selecting the “Replace Column” option for each one.

Using AI:

My idea would be to use an LLM from GPT4All, and I would create an agent and “tools” to handle this task.

I am thinking of setting rules for the Agent to determine which tool to use for each type of error.

Obviously, I would have to define all the types of adjustments that need to be identified and corrected.

But my main question is:

After the LLM performs the analysis, is it capable of outputting a “Replace” for each column in the table?

What I commonly see is the LLM producing a summarized document, report analysis, or insights.

However, I want the agent to handle the entire “Replace” process or even create new columns for each iteration of every row.

I am not sure if I was clear in my explanation.