InferenceConfiguration - Amazon Bedrock

InferenceConfiguration

Base inference parameters to pass to a model in a call to Converse or ConverseStream. For more information, see Inference parameters for foundation models.

If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field in the call to Converse or ConverseStream. For more information, see Model parameters.

Contents

maxTokens

The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see Inference parameters for foundation models.

Type: Integer

Valid Range: Minimum value of 1.

Required: No

stopSequences

A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.

Type: Array of strings

Array Members: Minimum number of 0 items. Maximum number of 4 items.

Length Constraints: Minimum length of 1.

Required: No

temperature

The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.

The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.

Type: Float

Valid Range: Minimum value of 0. Maximum value of 1.

Required: No

topP

The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 for topP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.

The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.

Type: Float

Valid Range: Minimum value of 0. Maximum value of 1.

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: