LLM Prompter

For each row in the input table, this node sends one prompt to the LLM and receives a corresponding response. Rows and the corresponding prompts are treated in isolation, i.e. the LLM cannot remember the contents of the previous rows or how it responded to them.

Note : If you use the Credentials Configuration node and do not select the "Save password in configuration (weakly encrypted)" option for passing the API key for the LLM connector node, the Credentials Configuration node will need to be reconfigured upon reopening the workflow, as the credentials flow variable was not saved and will therefore not be available to downstream nodes.

Input ports

1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
   LLM or Chat Model

   A large language model or chat model.

2. Type: Table
   Prompt Table

   A table containing a string column with prompts.

Output ports

1. Type: Table
   Result Table

   A table containing prompts and their respective answer.