Invoke Inline Agent

bedrockagentruntime_invoke_inline_agent

R Documentation

Invokes an inline Amazon Bedrock agent using the configurations you provide with the request

Description

Invokes an inline Amazon Bedrock agent using the configurations you provide with the request.

• Specify the following fields for security purposes.

  • (Optional) customerEncryptionKeyArn – The Amazon Resource Name (ARN) of a KMS key to encrypt the creation of the agent.

  • (Optional) idleSessionTTLinSeconds – Specify the number of seconds for which the agent should maintain session information. After this time expires, the subsequent invoke_inline_agent request begins a new session.

• To override the default prompt behavior for agent orchestration and to use advanced prompts, include a promptOverrideConfiguration object. For more information, see Advanced prompts.

• The agent instructions will not be honored if your agent has only one knowledge base, uses default prompts, has no action group, and user input is disabled.

Usage

bedrockagentruntime_invoke_inline_agent(actionGroups,
  bedrockModelConfigurations, customerEncryptionKeyArn, enableTrace,
  endSession, foundationModel, guardrailConfiguration,
  idleSessionTTLInSeconds, inlineSessionState, inputText, instruction,
  knowledgeBases, promptOverrideConfiguration, sessionId,
  streamingConfigurations)

Arguments

actionGroups

A list of action groups with each action group defining the action the inline agent needs to carry out.

bedrockModelConfigurations

Model settings for the request.

customerEncryptionKeyArn

The Amazon Resource Name (ARN) of the Amazon Web Services KMS key to use to encrypt your inline agent.

enableTrace

Specifies whether to turn on the trace or not to track the agent's reasoning process. For more information, see Using trace.

 </p>

endSession

Specifies whether to end the session with the inline agent or not.

foundationModel

[required] The model identifier (ID) of the model to use for orchestration by the inline agent. For example, ⁠meta.llama3-1-70b-instruct-v1:0⁠.

guardrailConfiguration

The guardrails to assign to the inline agent.

idleSessionTTLInSeconds

The number of seconds for which the inline agent should maintain session information. After this time expires, the subsequent invoke_inline_agent request begins a new session.

A user interaction remains active for the amount of time specified. If no conversation occurs during this time, the session expires and the data provided before the timeout is deleted.

inlineSessionState

Parameters that specify the various attributes of a sessions. You can include attributes for the session or prompt or, if you configured an action group to return control, results from invocation of the action group. For more information, see Control session context.

If you include returnControlInvocationResults in the sessionState field, the inputText field will be ignored.

inputText

The prompt text to send to the agent.

If you include returnControlInvocationResults in the sessionState field, the inputText field will be ignored.

instruction

[required] The instructions that tell the inline agent what it should do and how it should interact with users.

knowledgeBases

Contains information of the knowledge bases to associate with.

promptOverrideConfiguration

Configurations for advanced prompts used to override the default prompts to enhance the accuracy of the inline agent.

sessionId

[required] The unique identifier of the session. Use the same value across requests to continue the same conversation.

streamingConfigurations

Specifies the configurations for streaming.

To use agent streaming, you need permissions to perform the bedrock:InvokeModelWithResponseStream action.

Value

A list with the following syntax:

list(
  completion = list(
    accessDeniedException = list(
      message = "string"
    ),
    badGatewayException = list(
      message = "string",
      resourceName = "string"
    ),
    chunk = list(
      attribution = list(
        citations = list(
          list(
            generatedResponsePart = list(
              textResponsePart = list(
                span = list(
                  end = 123,
                  start = 123
                ),
                text = "string"
              )
            ),
            retrievedReferences = list(
              list(
                content = list(
                  byteContent = "string",
                  row = list(
                    list(
                      columnName = "string",
                      columnValue = "string",
                      type = "BLOB"|"BOOLEAN"|"DOUBLE"|"NULL"|"LONG"|"STRING"
                    )
                  ),
                  text = "string",
                  type = "TEXT"|"IMAGE"|"ROW"
                ),
                location = list(
                  confluenceLocation = list(
                    url = "string"
                  ),
                  customDocumentLocation = list(
                    id = "string"
                  ),
                  kendraDocumentLocation = list(
                    uri = "string"
                  ),
                  s3Location = list(
                    uri = "string"
                  ),
                  salesforceLocation = list(
                    url = "string"
                  ),
                  sharePointLocation = list(
                    url = "string"
                  ),
                  sqlLocation = list(
                    query = "string"
                  ),
                  type = "S3"|"WEB"|"CONFLUENCE"|"SALESFORCE"|"SHAREPOINT"|"CUSTOM"|"KENDRA"|"SQL",
                  webLocation = list(
                    url = "string"
                  )
                ),
                metadata = list(
                  list()
                )
              )
            )
          )
        )
      ),
      bytes = raw
    ),
    conflictException = list(
      message = "string"
    ),
    dependencyFailedException = list(
      message = "string",
      resourceName = "string"
    ),
    files = list(
      files = list(
        list(
          bytes = raw,
          name = "string",
          type = "string"
        )
      )
    ),
    internalServerException = list(
      message = "string"
    ),
    resourceNotFoundException = list(
      message = "string"
    ),
    returnControl = list(
      invocationId = "string",
      invocationInputs = list(
        list(
          apiInvocationInput = list(
            actionGroup = "string",
            actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
            agentId = "string",
            apiPath = "string",
            collaboratorName = "string",
            httpMethod = "string",
            parameters = list(
              list(
                name = "string",
                type = "string",
                value = "string"
              )
            ),
            requestBody = list(
              content = list(
                list(
                  properties = list(
                    list(
                      name = "string",
                      type = "string",
                      value = "string"
                    )
                  )
                )
              )
            )
          ),
          functionInvocationInput = list(
            actionGroup = "string",
            actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
            agentId = "string",
            collaboratorName = "string",
            function = "string",
            parameters = list(
              list(
                name = "string",
                type = "string",
                value = "string"
              )
            )
          )
        )
      )
    ),
    serviceQuotaExceededException = list(
      message = "string"
    ),
    throttlingException = list(
      message = "string"
    ),
    trace = list(
      sessionId = "string",
      trace = list(
        customOrchestrationTrace = list(
          event = list(
            text = "string"
          ),
          traceId = "string"
        ),
        failureTrace = list(
          failureReason = "string",
          traceId = "string"
        ),
        guardrailTrace = list(
          action = "INTERVENED"|"NONE",
          inputAssessments = list(
            list(
              contentPolicy = list(
                filters = list(
                  list(
                    action = "BLOCKED",
                    confidence = "NONE"|"LOW"|"MEDIUM"|"HIGH",
                    type = "INSULTS"|"HATE"|"SEXUAL"|"VIOLENCE"|"MISCONDUCT"|"PROMPT_ATTACK"
                  )
                )
              ),
              sensitiveInformationPolicy = list(
                piiEntities = list(
                  list(
                    action = "BLOCKED"|"ANONYMIZED",
                    match = "string",
                    type = "ADDRESS"|"AGE"|"AWS_ACCESS_KEY"|"AWS_SECRET_KEY"|"CA_HEALTH_NUMBER"|"CA_SOCIAL_INSURANCE_NUMBER"|"CREDIT_DEBIT_CARD_CVV"|"CREDIT_DEBIT_CARD_EXPIRY"|"CREDIT_DEBIT_CARD_NUMBER"|"DRIVER_ID"|"EMAIL"|"INTERNATIONAL_BANK_ACCOUNT_NUMBER"|"IP_ADDRESS"|"LICENSE_PLATE"|"MAC_ADDRESS"|"NAME"|"PASSWORD"|"PHONE"|"PIN"|"SWIFT_CODE"|"UK_NATIONAL_HEALTH_SERVICE_NUMBER"|"UK_NATIONAL_INSURANCE_NUMBER"|"UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER"|"URL"|"USERNAME"|"US_BANK_ACCOUNT_NUMBER"|"US_BANK_ROUTING_NUMBER"|"US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER"|"US_PASSPORT_NUMBER"|"US_SOCIAL_SECURITY_NUMBER"|"VEHICLE_IDENTIFICATION_NUMBER"
                  )
                ),
                regexes = list(
                  list(
                    action = "BLOCKED"|"ANONYMIZED",
                    match = "string",
                    name = "string",
                    regex = "string"
                  )
                )
              ),
              topicPolicy = list(
                topics = list(
                  list(
                    action = "BLOCKED",
                    name = "string",
                    type = "DENY"
                  )
                )
              ),
              wordPolicy = list(
                customWords = list(
                  list(
                    action = "BLOCKED",
                    match = "string"
                  )
                ),
                managedWordLists = list(
                  list(
                    action = "BLOCKED",
                    match = "string",
                    type = "PROFANITY"
                  )
                )
              )
            )
          ),
          outputAssessments = list(
            list(
              contentPolicy = list(
                filters = list(
                  list(
                    action = "BLOCKED",
                    confidence = "NONE"|"LOW"|"MEDIUM"|"HIGH",
                    type = "INSULTS"|"HATE"|"SEXUAL"|"VIOLENCE"|"MISCONDUCT"|"PROMPT_ATTACK"
                  )
                )
              ),
              sensitiveInformationPolicy = list(
                piiEntities = list(
                  list(
                    action = "BLOCKED"|"ANONYMIZED",
                    match = "string",
                    type = "ADDRESS"|"AGE"|"AWS_ACCESS_KEY"|"AWS_SECRET_KEY"|"CA_HEALTH_NUMBER"|"CA_SOCIAL_INSURANCE_NUMBER"|"CREDIT_DEBIT_CARD_CVV"|"CREDIT_DEBIT_CARD_EXPIRY"|"CREDIT_DEBIT_CARD_NUMBER"|"DRIVER_ID"|"EMAIL"|"INTERNATIONAL_BANK_ACCOUNT_NUMBER"|"IP_ADDRESS"|"LICENSE_PLATE"|"MAC_ADDRESS"|"NAME"|"PASSWORD"|"PHONE"|"PIN"|"SWIFT_CODE"|"UK_NATIONAL_HEALTH_SERVICE_NUMBER"|"UK_NATIONAL_INSURANCE_NUMBER"|"UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER"|"URL"|"USERNAME"|"US_BANK_ACCOUNT_NUMBER"|"US_BANK_ROUTING_NUMBER"|"US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER"|"US_PASSPORT_NUMBER"|"US_SOCIAL_SECURITY_NUMBER"|"VEHICLE_IDENTIFICATION_NUMBER"
                  )
                ),
                regexes = list(
                  list(
                    action = "BLOCKED"|"ANONYMIZED",
                    match = "string",
                    name = "string",
                    regex = "string"
                  )
                )
              ),
              topicPolicy = list(
                topics = list(
                  list(
                    action = "BLOCKED",
                    name = "string",
                    type = "DENY"
                  )
                )
              ),
              wordPolicy = list(
                customWords = list(
                  list(
                    action = "BLOCKED",
                    match = "string"
                  )
                ),
                managedWordLists = list(
                  list(
                    action = "BLOCKED",
                    match = "string",
                    type = "PROFANITY"
                  )
                )
              )
            )
          ),
          traceId = "string"
        ),
        orchestrationTrace = list(
          invocationInput = list(
            actionGroupInvocationInput = list(
              actionGroupName = "string",
              apiPath = "string",
              executionType = "LAMBDA"|"RETURN_CONTROL",
              function = "string",
              invocationId = "string",
              parameters = list(
                list(
                  name = "string",
                  type = "string",
                  value = "string"
                )
              ),
              requestBody = list(
                content = list(
                  list(
                    list(
                      name = "string",
                      type = "string",
                      value = "string"
                    )
                  )
                )
              ),
              verb = "string"
            ),
            agentCollaboratorInvocationInput = list(
              agentCollaboratorAliasArn = "string",
              agentCollaboratorName = "string",
              input = list(
                returnControlResults = list(
                  invocationId = "string",
                  returnControlInvocationResults = list(
                    list(
                      apiResult = list(
                        actionGroup = "string",
                        agentId = "string",
                        apiPath = "string",
                        confirmationState = "CONFIRM"|"DENY",
                        httpMethod = "string",
                        httpStatusCode = 123,
                        responseBody = list(
                          list(
                            body = "string"
                          )
                        ),
                        responseState = "FAILURE"|"REPROMPT"
                      ),
                      functionResult = list(
                        actionGroup = "string",
                        agentId = "string",
                        confirmationState = "CONFIRM"|"DENY",
                        function = "string",
                        responseBody = list(
                          list(
                            body = "string"
                          )
                        ),
                        responseState = "FAILURE"|"REPROMPT"
                      )
                    )
                  )
                ),
                text = "string",
                type = "TEXT"|"RETURN_CONTROL"
              )
            ),
            codeInterpreterInvocationInput = list(
              code = "string",
              files = list(
                "string"
              )
            ),
            invocationType = "ACTION_GROUP"|"KNOWLEDGE_BASE"|"FINISH"|"ACTION_GROUP_CODE_INTERPRETER"|"AGENT_COLLABORATOR",
            knowledgeBaseLookupInput = list(
              knowledgeBaseId = "string",
              text = "string"
            ),
            traceId = "string"
          ),
          modelInvocationInput = list(
            foundationModel = "string",
            inferenceConfiguration = list(
              maximumLength = 123,
              stopSequences = list(
                "string"
              ),
              temperature = 123.0,
              topK = 123,
              topP = 123.0
            ),
            overrideLambda = "string",
            parserMode = "DEFAULT"|"OVERRIDDEN",
            promptCreationMode = "DEFAULT"|"OVERRIDDEN",
            text = "string",
            traceId = "string",
            type = "PRE_PROCESSING"|"ORCHESTRATION"|"KNOWLEDGE_BASE_RESPONSE_GENERATION"|"POST_PROCESSING"|"ROUTING_CLASSIFIER"
          ),
          modelInvocationOutput = list(
            metadata = list(
              usage = list(
                inputTokens = 123,
                outputTokens = 123
              )
            ),
            rawResponse = list(
              content = "string"
            ),
            traceId = "string"
          ),
          observation = list(
            actionGroupInvocationOutput = list(
              text = "string"
            ),
            agentCollaboratorInvocationOutput = list(
              agentCollaboratorAliasArn = "string",
              agentCollaboratorName = "string",
              output = list(
                returnControlPayload = list(
                  invocationId = "string",
                  invocationInputs = list(
                    list(
                      apiInvocationInput = list(
                        actionGroup = "string",
                        actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
                        agentId = "string",
                        apiPath = "string",
                        collaboratorName = "string",
                        httpMethod = "string",
                        parameters = list(
                          list(
                            name = "string",
                            type = "string",
                            value = "string"
                          )
                        ),
                        requestBody = list(
                          content = list(
                            list(
                              properties = list(
                                list(
                                  name = "string",
                                  type = "string",
                                  value = "string"
                                )
                              )
                            )
                          )
                        )
                      ),
                      functionInvocationInput = list(
                        actionGroup = "string",
                        actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
                        agentId = "string",
                        collaboratorName = "string",
                        function = "string",
                        parameters = list(
                          list(
                            name = "string",
                            type = "string",
                            value = "string"
                          )
                        )
                      )
                    )
                  )
                ),
                text = "string",
                type = "TEXT"|"RETURN_CONTROL"
              )
            ),
            codeInterpreterInvocationOutput = list(
              executionError = "string",
              executionOutput = "string",
              executionTimeout = TRUE|FALSE,
              files = list(
                "string"
              )
            ),
            finalResponse = list(
              text = "string"
            ),
            knowledgeBaseLookupOutput = list(
              retrievedReferences = list(
                list(
                  content = list(
                    byteContent = "string",
                    row = list(
                      list(
                        columnName = "string",
                        columnValue = "string",
                        type = "BLOB"|"BOOLEAN"|"DOUBLE"|"NULL"|"LONG"|"STRING"
                      )
                    ),
                    text = "string",
                    type = "TEXT"|"IMAGE"|"ROW"
                  ),
                  location = list(
                    confluenceLocation = list(
                      url = "string"
                    ),
                    customDocumentLocation = list(
                      id = "string"
                    ),
                    kendraDocumentLocation = list(
                      uri = "string"
                    ),
                    s3Location = list(
                      uri = "string"
                    ),
                    salesforceLocation = list(
                      url = "string"
                    ),
                    sharePointLocation = list(
                      url = "string"
                    ),
                    sqlLocation = list(
                      query = "string"
                    ),
                    type = "S3"|"WEB"|"CONFLUENCE"|"SALESFORCE"|"SHAREPOINT"|"CUSTOM"|"KENDRA"|"SQL",
                    webLocation = list(
                      url = "string"
                    )
                  ),
                  metadata = list(
                    list()
                  )
                )
              )
            ),
            repromptResponse = list(
              source = "ACTION_GROUP"|"KNOWLEDGE_BASE"|"PARSER",
              text = "string"
            ),
            traceId = "string",
            type = "ACTION_GROUP"|"AGENT_COLLABORATOR"|"KNOWLEDGE_BASE"|"FINISH"|"ASK_USER"|"REPROMPT"
          ),
          rationale = list(
            text = "string",
            traceId = "string"
          )
        ),
        postProcessingTrace = list(
          modelInvocationInput = list(
            foundationModel = "string",
            inferenceConfiguration = list(
              maximumLength = 123,
              stopSequences = list(
                "string"
              ),
              temperature = 123.0,
              topK = 123,
              topP = 123.0
            ),
            overrideLambda = "string",
            parserMode = "DEFAULT"|"OVERRIDDEN",
            promptCreationMode = "DEFAULT"|"OVERRIDDEN",
            text = "string",
            traceId = "string",
            type = "PRE_PROCESSING"|"ORCHESTRATION"|"KNOWLEDGE_BASE_RESPONSE_GENERATION"|"POST_PROCESSING"|"ROUTING_CLASSIFIER"
          ),
          modelInvocationOutput = list(
            metadata = list(
              usage = list(
                inputTokens = 123,
                outputTokens = 123
              )
            ),
            parsedResponse = list(
              text = "string"
            ),
            rawResponse = list(
              content = "string"
            ),
            traceId = "string"
          )
        ),
        preProcessingTrace = list(
          modelInvocationInput = list(
            foundationModel = "string",
            inferenceConfiguration = list(
              maximumLength = 123,
              stopSequences = list(
                "string"
              ),
              temperature = 123.0,
              topK = 123,
              topP = 123.0
            ),
            overrideLambda = "string",
            parserMode = "DEFAULT"|"OVERRIDDEN",
            promptCreationMode = "DEFAULT"|"OVERRIDDEN",
            text = "string",
            traceId = "string",
            type = "PRE_PROCESSING"|"ORCHESTRATION"|"KNOWLEDGE_BASE_RESPONSE_GENERATION"|"POST_PROCESSING"|"ROUTING_CLASSIFIER"
          ),
          modelInvocationOutput = list(
            metadata = list(
              usage = list(
                inputTokens = 123,
                outputTokens = 123
              )
            ),
            parsedResponse = list(
              isValid = TRUE|FALSE,
              rationale = "string"
            ),
            rawResponse = list(
              content = "string"
            ),
            traceId = "string"
          )
        ),
        routingClassifierTrace = list(
          invocationInput = list(
            actionGroupInvocationInput = list(
              actionGroupName = "string",
              apiPath = "string",
              executionType = "LAMBDA"|"RETURN_CONTROL",
              function = "string",
              invocationId = "string",
              parameters = list(
                list(
                  name = "string",
                  type = "string",
                  value = "string"
                )
              ),
              requestBody = list(
                content = list(
                  list(
                    list(
                      name = "string",
                      type = "string",
                      value = "string"
                    )
                  )
                )
              ),
              verb = "string"
            ),
            agentCollaboratorInvocationInput = list(
              agentCollaboratorAliasArn = "string",
              agentCollaboratorName = "string",
              input = list(
                returnControlResults = list(
                  invocationId = "string",
                  returnControlInvocationResults = list(
                    list(
                      apiResult = list(
                        actionGroup = "string",
                        agentId = "string",
                        apiPath = "string",
                        confirmationState = "CONFIRM"|"DENY",
                        httpMethod = "string",
                        httpStatusCode = 123,
                        responseBody = list(
                          list(
                            body = "string"
                          )
                        ),
                        responseState = "FAILURE"|"REPROMPT"
                      ),
                      functionResult = list(
                        actionGroup = "string",
                        agentId = "string",
                        confirmationState = "CONFIRM"|"DENY",
                        function = "string",
                        responseBody = list(
                          list(
                            body = "string"
                          )
                        ),
                        responseState = "FAILURE"|"REPROMPT"
                      )
                    )
                  )
                ),
                text = "string",
                type = "TEXT"|"RETURN_CONTROL"
              )
            ),
            codeInterpreterInvocationInput = list(
              code = "string",
              files = list(
                "string"
              )
            ),
            invocationType = "ACTION_GROUP"|"KNOWLEDGE_BASE"|"FINISH"|"ACTION_GROUP_CODE_INTERPRETER"|"AGENT_COLLABORATOR",
            knowledgeBaseLookupInput = list(
              knowledgeBaseId = "string",
              text = "string"
            ),
            traceId = "string"
          ),
          modelInvocationInput = list(
            foundationModel = "string",
            inferenceConfiguration = list(
              maximumLength = 123,
              stopSequences = list(
                "string"
              ),
              temperature = 123.0,
              topK = 123,
              topP = 123.0
            ),
            overrideLambda = "string",
            parserMode = "DEFAULT"|"OVERRIDDEN",
            promptCreationMode = "DEFAULT"|"OVERRIDDEN",
            text = "string",
            traceId = "string",
            type = "PRE_PROCESSING"|"ORCHESTRATION"|"KNOWLEDGE_BASE_RESPONSE_GENERATION"|"POST_PROCESSING"|"ROUTING_CLASSIFIER"
          ),
          modelInvocationOutput = list(
            metadata = list(
              usage = list(
                inputTokens = 123,
                outputTokens = 123
              )
            ),
            rawResponse = list(
              content = "string"
            ),
            traceId = "string"
          ),
          observation = list(
            actionGroupInvocationOutput = list(
              text = "string"
            ),
            agentCollaboratorInvocationOutput = list(
              agentCollaboratorAliasArn = "string",
              agentCollaboratorName = "string",
              output = list(
                returnControlPayload = list(
                  invocationId = "string",
                  invocationInputs = list(
                    list(
                      apiInvocationInput = list(
                        actionGroup = "string",
                        actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
                        agentId = "string",
                        apiPath = "string",
                        collaboratorName = "string",
                        httpMethod = "string",
                        parameters = list(
                          list(
                            name = "string",
                            type = "string",
                            value = "string"
                          )
                        ),
                        requestBody = list(
                          content = list(
                            list(
                              properties = list(
                                list(
                                  name = "string",
                                  type = "string",
                                  value = "string"
                                )
                              )
                            )
                          )
                        )
                      ),
                      functionInvocationInput = list(
                        actionGroup = "string",
                        actionInvocationType = "RESULT"|"USER_CONFIRMATION"|"USER_CONFIRMATION_AND_RESULT",
                        agentId = "string",
                        collaboratorName = "string",
                        function = "string",
                        parameters = list(
                          list(
                            name = "string",
                            type = "string",
                            value = "string"
                          )
                        )
                      )
                    )
                  )
                ),
                text = "string",
                type = "TEXT"|"RETURN_CONTROL"
              )
            ),
            codeInterpreterInvocationOutput = list(
              executionError = "string",
              executionOutput = "string",
              executionTimeout = TRUE|FALSE,
              files = list(
                "string"
              )
            ),
            finalResponse = list(
              text = "string"
            ),
            knowledgeBaseLookupOutput = list(
              retrievedReferences = list(
                list(
                  content = list(
                    byteContent = "string",
                    row = list(
                      list(
                        columnName = "string",
                        columnValue = "string",
                        type = "BLOB"|"BOOLEAN"|"DOUBLE"|"NULL"|"LONG"|"STRING"
                      )
                    ),
                    text = "string",
                    type = "TEXT"|"IMAGE"|"ROW"
                  ),
                  location = list(
                    confluenceLocation = list(
                      url = "string"
                    ),
                    customDocumentLocation = list(
                      id = "string"
                    ),
                    kendraDocumentLocation = list(
                      uri = "string"
                    ),
                    s3Location = list(
                      uri = "string"
                    ),
                    salesforceLocation = list(
                      url = "string"
                    ),
                    sharePointLocation = list(
                      url = "string"
                    ),
                    sqlLocation = list(
                      query = "string"
                    ),
                    type = "S3"|"WEB"|"CONFLUENCE"|"SALESFORCE"|"SHAREPOINT"|"CUSTOM"|"KENDRA"|"SQL",
                    webLocation = list(
                      url = "string"
                    )
                  ),
                  metadata = list(
                    list()
                  )
                )
              )
            ),
            repromptResponse = list(
              source = "ACTION_GROUP"|"KNOWLEDGE_BASE"|"PARSER",
              text = "string"
            ),
            traceId = "string",
            type = "ACTION_GROUP"|"AGENT_COLLABORATOR"|"KNOWLEDGE_BASE"|"FINISH"|"ASK_USER"|"REPROMPT"
          )
        )
      )
    ),
    validationException = list(
      message = "string"
    )
  ),
  contentType = "string",
  sessionId = "string"
)

Request syntax

svc$invoke_inline_agent(
  actionGroups = list(
    list(
      actionGroupExecutor = list(
        customControl = "RETURN_CONTROL",
        lambda = "string"
      ),
      actionGroupName = "string",
      apiSchema = list(
        payload = "string",
        s3 = list(
          s3BucketName = "string",
          s3ObjectKey = "string"
        )
      ),
      description = "string",
      functionSchema = list(
        functions = list(
          list(
            description = "string",
            name = "string",
            parameters = list(
              list(
                description = "string",
                required = TRUE|FALSE,
                type = "string"|"number"|"integer"|"boolean"|"array"
              )
            ),
            requireConfirmation = "ENABLED"|"DISABLED"
          )
        )
      ),
      parentActionGroupSignature = "AMAZON.UserInput"|"AMAZON.CodeInterpreter"
    )
  ),
  bedrockModelConfigurations = list(
    performanceConfig = list(
      latency = "standard"|"optimized"
    )
  ),
  customerEncryptionKeyArn = "string",
  enableTrace = TRUE|FALSE,
  endSession = TRUE|FALSE,
  foundationModel = "string",
  guardrailConfiguration = list(
    guardrailIdentifier = "string",
    guardrailVersion = "string"
  ),
  idleSessionTTLInSeconds = 123,
  inlineSessionState = list(
    files = list(
      list(
        name = "string",
        source = list(
          byteContent = list(
            data = raw,
            mediaType = "string"
          ),
          s3Location = list(
            uri = "string"
          ),
          sourceType = "S3"|"BYTE_CONTENT"
        ),
        useCase = "CODE_INTERPRETER"|"CHAT"
      )
    ),
    invocationId = "string",
    promptSessionAttributes = list(
      "string"
    ),
    returnControlInvocationResults = list(
      list(
        apiResult = list(
          actionGroup = "string",
          agentId = "string",
          apiPath = "string",
          confirmationState = "CONFIRM"|"DENY",
          httpMethod = "string",
          httpStatusCode = 123,
          responseBody = list(
            list(
              body = "string"
            )
          ),
          responseState = "FAILURE"|"REPROMPT"
        ),
        functionResult = list(
          actionGroup = "string",
          agentId = "string",
          confirmationState = "CONFIRM"|"DENY",
          function = "string",
          responseBody = list(
            list(
              body = "string"
            )
          ),
          responseState = "FAILURE"|"REPROMPT"
        )
      )
    ),
    sessionAttributes = list(
      "string"
    )
  ),
  inputText = "string",
  instruction = "string",
  knowledgeBases = list(
    list(
      description = "string",
      knowledgeBaseId = "string",
      retrievalConfiguration = list(
        vectorSearchConfiguration = list(
          filter = list(
            andAll = list(
              list()
            ),
            equals = list(
              key = "string",
              value = list()
            ),
            greaterThan = list(
              key = "string",
              value = list()
            ),
            greaterThanOrEquals = list(
              key = "string",
              value = list()
            ),
            in = list(
              key = "string",
              value = list()
            ),
            lessThan = list(
              key = "string",
              value = list()
            ),
            lessThanOrEquals = list(
              key = "string",
              value = list()
            ),
            listContains = list(
              key = "string",
              value = list()
            ),
            notEquals = list(
              key = "string",
              value = list()
            ),
            notIn = list(
              key = "string",
              value = list()
            ),
            orAll = list(
              list()
            ),
            startsWith = list(
              key = "string",
              value = list()
            ),
            stringContains = list(
              key = "string",
              value = list()
            )
          ),
          implicitFilterConfiguration = list(
            metadataAttributes = list(
              list(
                description = "string",
                key = "string",
                type = "STRING"|"NUMBER"|"BOOLEAN"|"STRING_LIST"
              )
            ),
            modelArn = "string"
          ),
          numberOfResults = 123,
          overrideSearchType = "HYBRID"|"SEMANTIC",
          rerankingConfiguration = list(
            bedrockRerankingConfiguration = list(
              metadataConfiguration = list(
                selectionMode = "SELECTIVE"|"ALL",
                selectiveModeConfiguration = list(
                  fieldsToExclude = list(
                    list(
                      fieldName = "string"
                    )
                  ),
                  fieldsToInclude = list(
                    list(
                      fieldName = "string"
                    )
                  )
                )
              ),
              modelConfiguration = list(
                additionalModelRequestFields = list(
                  list()
                ),
                modelArn = "string"
              ),
              numberOfRerankedResults = 123
            ),
            type = "BEDROCK_RERANKING_MODEL"
          )
        )
      )
    )
  ),
  promptOverrideConfiguration = list(
    overrideLambda = "string",
    promptConfigurations = list(
      list(
        basePromptTemplate = "string",
        inferenceConfiguration = list(
          maximumLength = 123,
          stopSequences = list(
            "string"
          ),
          temperature = 123.0,
          topK = 123,
          topP = 123.0
        ),
        parserMode = "DEFAULT"|"OVERRIDDEN",
        promptCreationMode = "DEFAULT"|"OVERRIDDEN",
        promptState = "ENABLED"|"DISABLED",
        promptType = "PRE_PROCESSING"|"ORCHESTRATION"|"KNOWLEDGE_BASE_RESPONSE_GENERATION"|"POST_PROCESSING"|"ROUTING_CLASSIFIER"
      )
    )
  ),
  sessionId = "string",
  streamingConfigurations = list(
    applyGuardrailInterval = 123,
    streamFinalResponse = TRUE|FALSE
  )
)