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Create Chat Completion

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Starting a new project? We recommend trying Responses to take advantage of the latest OpenAI platform features. Compare Chat Completions with Responses.

Creates a model response for the given chat conversation. Learn more in the text generation, vision, and audio guides.

Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of unsupported parameters in reasoning models, refer to the reasoning guide.

Options

Body

Result Format

Specify how the response should be mapped to the table output. The following formats are available:

Structured Table: Returns a parsed table with data split into rows and columns.

Id: A unique identifier for the chat completion.
Choices: A list of chat completion choices. Can be more than one if n is greater than 1.
Created: The Unix timestamp (in seconds) of when the chat completion was created.
Model: The model used for the chat completion.
Service Tier:
Specifies the processing type used for serving the request.
- If set to 'auto', then the request will be processed with the service tier configured in the Project settings. Unless otherwise configured, the Project will use 'default'.
- If set to 'default', then the request will be processed with the standard pricing and performance for the selected model.
- If set to 'flex' or 'priority', then the request will be processed with the corresponding service tier.
- When not set, the default behavior is 'auto'.
When the service_tier parameter is set, the response body will include the service_tier value based on the processing mode actually used to serve the request. This response value may be different from the value set in the parameter.
System Fingerprint:
This fingerprint represents the backend configuration that the model runs with.

Can be used in conjunction with the seed request parameter to understand when backend changes have been made that might impact determinism.
Object: The object type, which is always chat.completion.
Usage: Usage statistics for the completion request.

Raw Response: Returns the raw response in a single row with the following columns:

body: Response body
status: HTTP status code

Input Ports

: Configuration data.

Output Ports

: Result of the request depending on the selected Result Format.
: Configuration data (this is the same as the input port; it is provided as passthrough for sequentially chaining nodes to declutter your workflow connections).

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Installation

To use this node in KNIME, install the extension OpenAI Nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.6

A zipped version of the software site can be downloaded here.

Plugin provider: NodePit

Plugin version: 2.3.0.202508290749

On NodePit since: 2025-08-15

Last update: 2025-09-11

KNIME versions: From v4.7 to v5.6

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