Module Values.PromptConfigurationSource

Contains configurations to override a prompt template in one part of an agent sequence. For more information, see Advanced prompts.

Sourcetype nonrec t = {
  1. promptType : PromptType.t option;
    (*

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

    *)
  2. promptCreationMode : CreationMode.t option;
    (*

    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.

    *)
  3. promptState : PromptState.t option;
    (*

    Specifies whether to allow the 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_PROCESSING – DISABLED ORCHESTRATION – ENABLED KNOWLEDGE_BASE_RESPONSE_GENERATION – ENABLED POST_PROCESSING – DISABLED

    *)
  4. basePromptTemplate : BasePromptTemplate.t option;
    (*

    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.

    *)
  5. inferenceConfiguration : InferenceConfiguration.t option;
    (*

    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.

    *)
  6. parserMode : CreationMode.t option;
    (*

    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.

    *)
  7. foundationModel : ModelIdentifier.t option;
    (*

    The agent's foundation model.

    *)
  8. additionalModelRequestFields : Document.t option;
    (*

    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.

    *)
}
Sourceval make : ?promptType:??? -> ?promptCreationMode:??? -> ?promptState:??? -> ?basePromptTemplate:??? -> ?inferenceConfiguration:??? -> ?parserMode:??? -> ?foundationModel:??? -> ?additionalModelRequestFields:??? -> unit -> t
Sourceval to_value : t -> [> `Structure of (string * [> `Enum of string | `String of BasePromptTemplate.t | `Structure of (string * [> `Float of Temperature.t | `Integer of TopK.t | `List of [> `String of String_.t ] list ]) list ]) list ]
Sourceval to_query : t -> Awso.Client.Query.t
Sourceval of_xml : Awso.Xml.t -> t
Sourceval of_string : string -> t
Sourceval of_json : Yojson.Safe.t -> t
Sourceval to_json : t -> Yojson.Safe.t