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IBM watsonx.ai LLM Selector

KNIME LabsAIModelsIBM watsonx
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In order to use IBM watsonx.ai models, you'll need to create an IBM watsonx.ai account and obtain an API key. After successfully authenticating using the IBM watsonx.ai Authenticator node, you can select a Large Language Model (LLM) from a predefined list.

Refer to the IBM watsonx.ai documentation for more information on available chat models. At the moment, only the chat models from foundation models are supported. Refer to Choosing a model page for more information on chat models that support tool calls.

Note : If you want to use a space, make sure that the space has a valid runtime service instance. You can check this at IBM watsonx.ai Studio under Manage tab in your space.

Node details

Input ports
  1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
    IBM watsonx.ai Authentication

    The authentication for the IBM watsonx.ai API.

Output ports
  1. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
    IBM watsonx.ai Large Language Model

    The IBM watsonx.ai Large Language Model which can be used in the LLM Prompter (Table) and LLM Prompter (Conversation) nodes.

Extension

The IBM watsonx.ai LLM Selector node is part of this extension:

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Related workflows & nodes

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