Embabel Agent Documentation/com.embabel.common.ai.model/SpringAiEmbeddingService

SpringAiEmbeddingService

data class SpringAiEmbeddingService(val name: String, val provider: String, val model: <Error class: unknown class>, val configuredDimensions: Int? = null, val pricingModel: PricingModel? = null) : EmbeddingService, AiModel<<Error class: unknown class>>

Wraps a Spring AI EmbeddingModel exposing an embedding service.

Parameters

configuredDimensions

If provided, uses this value for dimensions instead of making a live API call via EmbeddingModel.dimensions. This avoids startup failures when the embedding endpoint is not available (e.g., Azure OpenAI deployments that only expose chat completions).

Constructors

SpringAiEmbeddingService

constructor(name: String, provider: String, model: <Error class: unknown class>, configuredDimensions: Int? = null, pricingModel: PricingModel? = null)

Properties

awaitingProviderKey

open val awaitingProviderKey: Boolean

Whether this service is standing in for a model the deployment does not have a key for yet, so nothing may be embedded and — above all — no dimension may be read from it.

configuredDimensions

val configuredDimensions: Int? = null

dimensions

open override val dimensions: Int

Dimension of the embedding vectors produced by this model

model

open override val model: <Error class: unknown class>

name

open override val name: String

Name of the LLM, such as "gpt-3.5-turbo"

pricingModel

open override val pricingModel: PricingModel? = null