Creates a model response for the given chat conversation.

External Documentation

To learn more, visit the OpenAI documentation.

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Basic Parameters

ParameterDescription
MessagesThe messages to generate chat completions for.Example:json[ { "role": "developer", "content": "You are a helpful assistant." }, { "role": "user", "content": "Hello!" }]Note: For more information about the messages parameter, and the various roles that can be associated with a message, visit OpenAI API docs.
ModelThe model to use. You can use the List models action to get all of your available models, or visit OpenAI’s Model Overview for descriptions of them.

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Advanced Parameters

ParameterDescription
StopSequences of text that will instruct the model to stop generating further tokens once any of these sequences are encountered.The response will not include the stop sequence(s) themselves.Valid values are:* String: A single stop sequence (e.g., “END”).* List: A comma separated list of up to 4 stop sequences (e.g., “END,STOP”).Note: The quotes are used only for the example. Avoid using quotes in the stop parameter.
TemperatureWhat sampling temperature to use, between 0.0 and 2.0.Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Token LimitThe maximum number of tokens to generate in the completion. A higher token limit will result in a longer response.
UserA unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

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Example Output

{
	"choices": [
		{
			"finish_reason": "string",
			"index": 0,
			"message": {
				"content": "The contents of the message",
				"role": "The role of the author of this message."
			}
		}
	],
	"created": 0,
	"id": "string",
	"model": "string",
	"object": "string",
	"usage": {
		"completion_tokens": 0,
		"prompt_tokens": 0,
		"total_tokens": 0
	}
}

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Workflow Library Example

Create Chat Completion with Openai and Send Results Via Email

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