ModelOptions

Options for configuring the behavior of the AI model.

Class Diagram

---
title: ModelOptions
config:
  look: handDrawn
  theme: colorful
  class:
    hideEmptyMembersBox: true
---
classDiagram
    class ModelOptions {
        +float32 frequencyPenalty
        +int32 maxOutputTokens
        +float32 presencePenalty
        +string reasoningEffort
        +int32 seed
        +float32 temperature
        +int32 topK
        +float32 topP
        +string[] stopSequences
        +boolean allowMultipleToolCalls
        +dictionary additionalProperties
    }

Yaml Example

frequencyPenalty: 0.5
maxOutputTokens: 2048
presencePenalty: 0.3
reasoningEffort: medium
seed: 42
temperature: 0.7
topK: 40
topP: 0.9
stopSequences:
  - |+

  - "###"
allowMultipleToolCalls: true
additionalProperties:
  customProperty: value
  anotherProperty: anotherValue

Properties

Name	Type	Description
frequencyPenalty	float32	The frequency penalty to apply to the model’s output
maxOutputTokens	int32	The maximum number of tokens to generate in the output
presencePenalty	float32	The presence penalty to apply to the model’s output
reasoningEffort	string	The reasoning effort level for reasoning-capable models
seed	int32	A random seed for deterministic output
temperature	float32	The temperature to use for sampling
topK	int32	The top-K sampling value
topP	float32	The top-P sampling value
stopSequences	string[]	Stop sequences to end generation
allowMultipleToolCalls	boolean	Whether to allow multiple tool calls in a single response
additionalProperties	dictionary	Additional custom properties for model options