Start Automated Reasoning Policy Build Workflow

bedrock_start_automated_reasoning_policy_build_workflow

R Documentation

Starts a new build workflow for an Automated Reasoning policy

Description

Starts a new build workflow for an Automated Reasoning policy. This initiates the process of analyzing source documents and generating policy rules, variables, and types.

Usage

bedrock_start_automated_reasoning_policy_build_workflow(policyArn,
  buildWorkflowType, clientRequestToken, sourceContent)

Arguments

policyArn	[required] The Amazon Resource Name (ARN) of the Automated Reasoning policy for which to start the build workflow.
buildWorkflowType	[required] The type of build workflow to start (e.g., DOCUMENT_INGESTION for processing new documents, POLICY_REPAIR for fixing existing policies).
clientRequestToken	A unique, case-sensitive identifier to ensure that the operation completes no more than once. If this token matches a previous request, Amazon Bedrock ignores the request but doesn't return an error.
sourceContent	[required] The source content for the build workflow, such as documents to analyze or repair instructions for existing policies.

Value

A list with the following syntax:

list(
  policyArn = "string",
  buildWorkflowId = "string"
)

Request syntax

svc$start_automated_reasoning_policy_build_workflow(
  policyArn = "string",
  buildWorkflowType = "INGEST_CONTENT"|"REFINE_POLICY"|"IMPORT_POLICY"|"GENERATE_FIDELITY_REPORT"|"GENERATE_POLICY_SCENARIOS",
  clientRequestToken = "string",
  sourceContent = list(
    policyDefinition = list(
      version = "string",
      types = list(
        list(
          name = "string",
          description = "string",
          values = list(
            list(
              value = "string",
              description = "string"
            )
          )
        )
      ),
      rules = list(
        list(
          id = "string",
          expression = "string",
          alternateExpression = "string"
        )
      ),
      variables = list(
        list(
          name = "string",
          type = "string",
          description = "string"
        )
      )
    ),
    workflowContent = list(
      documents = list(
        list(
          document = raw,
          documentContentType = "pdf"|"txt",
          documentName = "string",
          documentDescription = "string"
        )
      ),
      policyRepairAssets = list(
        annotations = list(
          list(
            addType = list(
              name = "string",
              description = "string",
              values = list(
                list(
                  value = "string",
                  description = "string"
                )
              )
            ),
            updateType = list(
              name = "string",
              newName = "string",
              description = "string",
              values = list(
                list(
                  addTypeValue = list(
                    value = "string",
                    description = "string"
                  ),
                  updateTypeValue = list(
                    value = "string",
                    newValue = "string",
                    description = "string"
                  ),
                  deleteTypeValue = list(
                    value = "string"
                  )
                )
              )
            ),
            deleteType = list(
              name = "string"
            ),
            addVariable = list(
              name = "string",
              type = "string",
              description = "string"
            ),
            updateVariable = list(
              name = "string",
              newName = "string",
              description = "string"
            ),
            deleteVariable = list(
              name = "string"
            ),
            addRule = list(
              expression = "string"
            ),
            updateRule = list(
              ruleId = "string",
              expression = "string"
            ),
            deleteRule = list(
              ruleId = "string"
            ),
            addRuleFromNaturalLanguage = list(
              naturalLanguage = "string"
            ),
            updateFromRulesFeedback = list(
              ruleIds = list(
                "string"
              ),
              feedback = "string"
            ),
            updateFromScenarioFeedback = list(
              ruleIds = list(
                "string"
              ),
              scenarioExpression = "string",
              feedback = "string"
            ),
            ingestContent = list(
              content = "string"
            )
          )
        )
      ),
      generateFidelityReportContent = list(
        documents = list(
          list(
            document = raw,
            documentContentType = "pdf"|"txt",
            documentName = "string",
            documentDescription = "string"
          )
        )
      )
    )
  )
)