InferenceConfiguration¶
Structure Class¶
dataclass
¶
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.
Attributes¶
class-attribute
instance-attribute
¶
max_tokens: int | None = None
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.
class-attribute
instance-attribute
¶
stop_sequences: list[str] | None = None
A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
class-attribute
instance-attribute
¶
temperature: float | None = None
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.
class-attribute
instance-attribute
¶
top_p: float | None = None
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.