PromptConfigurationBuilder

Struct PromptConfigurationBuilder 

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#[non_exhaustive]
pub struct PromptConfigurationBuilder { /* private fields */ }
Expand description

A builder for PromptConfiguration.

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impl PromptConfigurationBuilder

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pub fn prompt_type(self, input: PromptType) -> Self

The step in the agent sequence that this prompt configuration applies to.

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pub fn set_prompt_type(self, input: Option<PromptType>) -> Self

The step in the agent sequence that this prompt configuration applies to.

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pub fn get_prompt_type(&self) -> &Option<PromptType>

The step in the agent sequence that this prompt configuration applies to.

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pub fn prompt_creation_mode(self, input: CreationMode) -> Self

Specifies whether to override the default prompt template for this promptType. Set this value to OVERRIDDEN to use the prompt that you provide in the basePromptTemplate. If you leave it as DEFAULT, the agent uses a default prompt template.

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pub fn set_prompt_creation_mode(self, input: Option<CreationMode>) -> Self

Specifies whether to override the default prompt template for this promptType. Set this value to OVERRIDDEN to use the prompt that you provide in the basePromptTemplate. If you leave it as DEFAULT, the agent uses a default prompt template.

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pub fn get_prompt_creation_mode(&self) -> &Option<CreationMode>

Specifies whether to override the default prompt template for this promptType. Set this value to OVERRIDDEN to use the prompt that you provide in the basePromptTemplate. If you leave it as DEFAULT, the agent uses a default prompt template.

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pub fn prompt_state(self, input: PromptState) -> Self

Specifies whether to allow the inline agent to carry out the step specified in the promptType. If you set this value to DISABLED, the agent skips that step. The default state for each promptType is as follows.

  • PRE_PROCESSINGENABLED

  • ORCHESTRATIONENABLED

  • KNOWLEDGE_BASE_RESPONSE_GENERATIONENABLED

  • POST_PROCESSINGDISABLED

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pub fn set_prompt_state(self, input: Option<PromptState>) -> Self

Specifies whether to allow the inline agent to carry out the step specified in the promptType. If you set this value to DISABLED, the agent skips that step. The default state for each promptType is as follows.

  • PRE_PROCESSINGENABLED

  • ORCHESTRATIONENABLED

  • KNOWLEDGE_BASE_RESPONSE_GENERATIONENABLED

  • POST_PROCESSINGDISABLED

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pub fn get_prompt_state(&self) -> &Option<PromptState>

Specifies whether to allow the inline agent to carry out the step specified in the promptType. If you set this value to DISABLED, the agent skips that step. The default state for each promptType is as follows.

  • PRE_PROCESSINGENABLED

  • ORCHESTRATIONENABLED

  • KNOWLEDGE_BASE_RESPONSE_GENERATIONENABLED

  • POST_PROCESSINGDISABLED

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pub fn base_prompt_template(self, input: impl Into<String>) -> Self

Defines the prompt template with which to replace the default prompt template. You can use placeholder variables in the base prompt template to customize the prompt. For more information, see Prompt template placeholder variables. For more information, see Configure the prompt templates.

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pub fn set_base_prompt_template(self, input: Option<String>) -> Self

Defines the prompt template with which to replace the default prompt template. You can use placeholder variables in the base prompt template to customize the prompt. For more information, see Prompt template placeholder variables. For more information, see Configure the prompt templates.

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pub fn get_base_prompt_template(&self) -> &Option<String>

Defines the prompt template with which to replace the default prompt template. You can use placeholder variables in the base prompt template to customize the prompt. For more information, see Prompt template placeholder variables. For more information, see Configure the prompt templates.

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pub fn inference_configuration(self, input: InferenceConfiguration) -> Self

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.

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pub fn set_inference_configuration( self, input: Option<InferenceConfiguration>, ) -> Self

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.

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pub fn get_inference_configuration(&self) -> &Option<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.

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pub fn parser_mode(self, input: CreationMode) -> Self

Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the promptType. If you set the field as OVERRIDDEN, the overrideLambda field in the PromptOverrideConfiguration must be specified with the ARN of a Lambda function.

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pub fn set_parser_mode(self, input: Option<CreationMode>) -> Self

Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the promptType. If you set the field as OVERRIDDEN, the overrideLambda field in the PromptOverrideConfiguration must be specified with the ARN of a Lambda function.

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pub fn get_parser_mode(&self) -> &Option<CreationMode>

Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the promptType. If you set the field as OVERRIDDEN, the overrideLambda field in the PromptOverrideConfiguration must be specified with the ARN of a Lambda function.

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pub fn foundation_model(self, input: impl Into<String>) -> Self

The foundation model to use.

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pub fn set_foundation_model(self, input: Option<String>) -> Self

The foundation model to use.

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pub fn get_foundation_model(&self) -> &Option<String>

The foundation model to use.

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pub fn additional_model_request_fields(self, input: Document) -> Self

If the Converse or ConverseStream operations support the model, additionalModelRequestFields contains additional inference parameters, beyond the base set of inference parameters in the inferenceConfiguration field.

For more information, see Inference request parameters and response fields for foundation models in the Amazon Bedrock user guide.

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pub fn set_additional_model_request_fields( self, input: Option<Document>, ) -> Self

If the Converse or ConverseStream operations support the model, additionalModelRequestFields contains additional inference parameters, beyond the base set of inference parameters in the inferenceConfiguration field.

For more information, see Inference request parameters and response fields for foundation models in the Amazon Bedrock user guide.

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pub fn get_additional_model_request_fields(&self) -> &Option<Document>

If the Converse or ConverseStream operations support the model, additionalModelRequestFields contains additional inference parameters, beyond the base set of inference parameters in the inferenceConfiguration field.

For more information, see Inference request parameters and response fields for foundation models in the Amazon Bedrock user guide.

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pub fn build(self) -> PromptConfiguration

Consumes the builder and constructs a PromptConfiguration.

Trait Implementations§

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impl Clone for PromptConfigurationBuilder

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fn clone(&self) -> PromptConfigurationBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for PromptConfigurationBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for PromptConfigurationBuilder

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fn default() -> PromptConfigurationBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for PromptConfigurationBuilder

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fn eq(&self, other: &PromptConfigurationBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for PromptConfigurationBuilder

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