Text Generation (Extended)

User Interface

Dataflow

Field	Description	Comment
Model	The name of the Model to use for generating the completion.
Contents	The content of the current conversation with the model.	Refer to "How to make Contents?" section below this page.
System Instruction	The content of the current conversation with the model. (Optional)
Stop Sequence	Specifies the set of character sequences (up to 5) that will stop output generation. (Optional)	Refer to "What is Stop Sequence?" section below this page.
Max Output Tokens	Sets the maximum number of tokens to include in a candidate. (Optional)
Temperature	Controls the randomness of the output. Use higher values for more creative responses, and lower values for more deterministic responses. (Optional)	Allow Ranges : 0.0 ~ 2.0
Top K	Changes how the model selects tokens for output. (Optional)	Upper to 1
Top P	Changes how the model selects tokens for output. (Optional)	Allow Ranges : 0 ~ 1

How to make Contents?

The message content is structured as an array of messages, with the following format:

Key	Description	Comment
role	Roles of Message	user model
parts[]	Message Item Array
parts[].text	Text Content

Example:

[
  {
    "role": "user",              // User
    "parts": [
      {
        "text": "Hello there!"        // User input
      }, 
      {
        "text": "I'm chris!"     // Multiple text parts can be included,
      }                          // and they are merged into a single string upon execution.
    ]                            // In this example, the prompt becomes "안녕하세요 아웃코드입니다"
  },
  {
    "role": "model",             // AI Model
    "parts": [
      {
        "text": "Hello chris, what can I help you?"
      }
    ]
  }
]

What is Stop Sequences?

Stops message generation immediately when a specific keyword is generated.

Example:

["result", "response", "stop"] // Input as an array of strings
// A maximum of 3 keywords can be set

Execution Result

Returns the text response generated from the prompt request.