Lists Amazon Bedrock foundation models that you can use¶

Description¶

Lists Amazon Bedrock foundation models that you can use. You can filter the results with the request parameters. For more information, see Foundation models in the Amazon Bedrock User Guide.

Usage¶

bedrock_list_foundation_models(byProvider, byCustomizationType,
  byOutputModality, byInferenceType)

Arguments¶

byProvider

Return models belonging to the model provider that you specify.
byCustomizationType

Return models that support the customization type that you specify. For more information, see Custom models in the Amazon Bedrock User Guide.
byOutputModality

Return models that support the output modality that you specify.
byInferenceType

Return models that support the inference type that you specify. For more information, see Provisioned Throughput in the Amazon Bedrock User Guide.

Value¶

A list with the following syntax:

list(
  modelSummaries = list(
    list(
      modelArn = "string",
      modelId = "string",
      modelName = "string",
      providerName = "string",
      inputModalities = list(
        "TEXT"|"IMAGE"|"EMBEDDING"
      ),
      outputModalities = list(
        "TEXT"|"IMAGE"|"EMBEDDING"
      ),
      responseStreamingSupported = TRUE|FALSE,
      customizationsSupported = list(
        "FINE_TUNING"|"CONTINUED_PRE_TRAINING"|"DISTILLATION"
      ),
      inferenceTypesSupported = list(
        "ON_DEMAND"|"PROVISIONED"
      ),
      modelLifecycle = list(
        status = "ACTIVE"|"LEGACY",
        startOfLifeTime = as.POSIXct(
          "2015-01-01"
        ),
        endOfLifeTime = as.POSIXct(
          "2015-01-01"
        ),
        legacyTime = as.POSIXct(
          "2015-01-01"
        ),
        publicExtendedAccessTime = as.POSIXct(
          "2015-01-01"
        )
      )
    )
  )
)

Request syntax¶

svc$list_foundation_models(
  byProvider = "string",
  byCustomizationType = "FINE_TUNING"|"CONTINUED_PRE_TRAINING"|"DISTILLATION",
  byOutputModality = "TEXT"|"IMAGE"|"EMBEDDING",
  byInferenceType = "ON_DEMAND"|"PROVISIONED"
)