Class GoogleCloudDiscoveryengineV1alphaAlphaEvolveExperimentConfigGenerationSettingsModelConfig

Per-model configuration. Mutually exclusive with model_mixture and model: when models is set, both model_mixture and model must be left unset. The same allowed-model list and at-most-2-models rule as for model_mixture apply. In addition, each entry may specify a per-model temperature for LLM sampling. Unlike model_mixture, weights here are relative: only their ratios matter (the server normalizes them), so callers may use any positive numbers without having to ensure they sum to 1.0.

Inheritance
object
GoogleCloudDiscoveryengineV1alphaAlphaEvolveExperimentConfigGenerationSettingsModelConfig
Implements
Inherited Members
Namespace: Google.Apis.DiscoveryEngine.v1alpha.Data
Assembly: Google.Apis.DiscoveryEngine.v1alpha.dll
Syntax
public class GoogleCloudDiscoveryengineV1alphaAlphaEvolveExperimentConfigGenerationSettingsModelConfig : IDirectResponseSchema

Properties

ETag

The ETag of the item.

Declaration
public virtual string ETag { get; set; }
Property Value
Type Description
string

Name

Required. Model name (e.g. gemini-2.5-flash, gemini-3.1-pro-preview). See model_mixture for the list of allowed models.

Declaration
[JsonProperty("name")]
public virtual string Name { get; set; }
Property Value
Type Description
string

Weight

Optional. Relative weight for this model in the mixture. Must be a finite, strictly positive value. Weights across all entries are normalized server-side, so they need not sum to 1.0. Defaults to 1.0 when unset, which is convenient when configuring a single model or an even mixture. Some Pro-tier models are capped at most 50% of the total weight; requests violating that cap are rejected with INVALID_ARGUMENT.

Declaration
[JsonProperty("weight")]
public virtual float? Weight { get; set; }
Property Value
Type Description
float?

Implements