OrthogonalAttributesLevelsRequest

Pydantic model for a request to create more, new, orthogonal levels for attributes.

countryCountryrequired

existing_attributes_levels object[]required

Array [

attributeAttributerequired

Name of the attribute

levelsstring[]required

Possible values: >= 2, <= 15

]

level_countLevel Count

Possible values: >= 2 and <= 5

Default value: 3

llm_model object

anyOf

• LLMModel
• null

Enum representing the llm model types used in the experiments.

LLMModel

Enum representing the llm model types used in the experiments.

Possible values: [azure-openai-gpt4, azure-openai-gpt4o-mini, azure-openai-gpt35, azure-openai-gpto3-mini, azure-openai-completions, sonar, databricks-sonnet4, databricks-claude-sonnet-4, databricks-llama4-maverick, databricks-llama3.3-70B, databricks-llama3.3-405B, bedrock:xai.grok-4.3]

new_attribute_countNew Attribute Count

Possible values: >= 1 and <= 5

Default value: 4

why_promptWhy Promptrequired

OrthogonalAttributesLevelsRequest

{
  "country": "United States of America",
  "existing_attributes_levels": [
    {
      "attribute": "Battery Range per Charge",
      "levels": [
        "Less than 150 miles",
        "150 to 250 miles",
        "250 to 350 miles",
        "350 to 450 miles",
        "More than 450 miles"
      ]
    },
    {
      "attribute": "Vehicle Warranty",
      "levels": [
        "3 years or 36,000 miles",
        "4 years or 50,000 miles",
        "5 years or 60,000 miles",
        "6 years or 70,000 miles",
        "7 years or 100,000 miles"
      ]
    }
  ],
  "level_count": 3,
  "llm_model": "gpt4",
  "new_attribute_count": 4,
  "why_prompt": "What factor affect the adoption of an electric vehicle?"
}