InferenceConfiguration

Contains inference parameters to use when the agent invokes a foundation model in the part of the agent sequence defined by the promptType. For more information, see Inference parameters for foundation models.

maximumLength

The maximum number of tokens to allow in the generated response.

Type: Integer

Valid Range: Minimum value of 0. Maximum value of 4096.

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.

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.

Type: Float

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

Required: No

topK

While generating a response, the model determines the probability of the following token at each point of generation. The value that you set for topK is the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topK to 50, the model selects the next token from among the top 50 most likely choices.

Type: Integer

Valid Range: Minimum value of 0. Maximum value of 500.

Required: No

topP

While generating a response, the model determines the probability of the following token at each point of generation. The value that you set for Top P determines the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topP to 80, the model only selects the next token from the top 80% of the probability distribution of next tokens.

Type: Float

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

Required: No

InferenceConfiguration

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