Struct Client 

pub struct Client { /* private fields */ }

Client for Amazon Bedrock AgentCore

Client for invoking operations on Amazon Bedrock AgentCore. Each operation on Amazon Bedrock AgentCore is a method on this this struct. .send() MUST be invoked on the generated operations to dispatch the request to the service.

Constructing a Client

A Config is required to construct a client. For most use cases, the aws-config crate should be used to automatically resolve this config using aws_config::load_from_env(), since this will resolve an SdkConfig which can be shared across multiple different AWS SDK clients. This config resolution process can be customized by calling aws_config::from_env() instead, which returns a ConfigLoader that uses the builder pattern to customize the default config.

In the simplest case, creating a client looks as follows:

let config = aws_config::load_from_env().await;
let client = aws_sdk_bedrockagentcore::Client::new(&config);

Occasionally, SDKs may have additional service-specific values that can be set on the Config that is absent from SdkConfig, or slightly different settings for a specific client may be desired. The Builder struct implements From<&SdkConfig>, so setting these specific settings can be done as follows:

let sdk_config = ::aws_config::load_from_env().await;
let config = aws_sdk_bedrockagentcore::config::Builder::from(&sdk_config)
    .some_service_specific_setting("value")
    .build();

See the aws-config docs and Config for more information on customizing configuration.

Note: Client construction is expensive due to connection thread pool initialization, and should be done once at application start-up.

Using the Client

A client has a function for every operation that can be performed by the service. For example, the BatchCreateMemoryRecords operation has a Client::batch_create_memory_records, function which returns a builder for that operation. The fluent builder ultimately has a send() function that returns an async future that returns a result, as illustrated below:

let result = client.batch_create_memory_records()
    .memory_id("example")
    .send()
    .await;

The underlying HTTP requests that get made by this can be modified with the customize_operation function on the fluent builder. See the customize module for more information.

Implementations

impl Client

pub fn batch_create_memory_records( &self, ) -> BatchCreateMemoryRecordsFluentBuilder

Constructs a fluent builder for the BatchCreateMemoryRecords operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The unique ID of the memory resource where records will be created.

    
    
  • records(MemoryRecordCreateInput) / set_records(Option<Vec::<MemoryRecordCreateInput>>):
    required: true
    

    A list of memory record creation inputs to be processed in the batch operation.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure idempotent processing of the batch request.

    
    
• On success, responds with BatchCreateMemoryRecordsOutput with field(s):
  • successful_records(Vec::<MemoryRecordOutput>):

    A list of memory records that were successfully created during the batch operation.

  • failed_records(Vec::<MemoryRecordOutput>):

    A list of memory records that failed to be created, including error details for each failure.

• On failure, responds with SdkError<BatchCreateMemoryRecordsError>

impl Client

pub fn batch_delete_memory_records( &self, ) -> BatchDeleteMemoryRecordsFluentBuilder

Constructs a fluent builder for the BatchDeleteMemoryRecords operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The unique ID of the memory resource where records will be deleted.

    
    
  • records(MemoryRecordDeleteInput) / set_records(Option<Vec::<MemoryRecordDeleteInput>>):
    required: true
    

    A list of memory record deletion inputs to be processed in the batch operation.

    
    
• On success, responds with BatchDeleteMemoryRecordsOutput with field(s):
  • successful_records(Vec::<MemoryRecordOutput>):

    A list of memory records that were successfully deleted during the batch operation.

  • failed_records(Vec::<MemoryRecordOutput>):

    A list of memory records that failed to be deleted, including error details for each failure.

• On failure, responds with SdkError<BatchDeleteMemoryRecordsError>

impl Client

pub fn batch_update_memory_records( &self, ) -> BatchUpdateMemoryRecordsFluentBuilder

Constructs a fluent builder for the BatchUpdateMemoryRecords operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The unique ID of the memory resource where records will be updated.

    
    
  • records(MemoryRecordUpdateInput) / set_records(Option<Vec::<MemoryRecordUpdateInput>>):
    required: true
    

    A list of memory record update inputs to be processed in the batch operation.

    
    
• On success, responds with BatchUpdateMemoryRecordsOutput with field(s):
  • successful_records(Vec::<MemoryRecordOutput>):

    A list of memory records that were successfully updated during the batch operation.

  • failed_records(Vec::<MemoryRecordOutput>):

    A list of memory records that failed to be updated, including error details for each failure.

• On failure, responds with SdkError<BatchUpdateMemoryRecordsError>

impl Client

pub fn complete_resource_token_auth( &self, ) -> CompleteResourceTokenAuthFluentBuilder

Constructs a fluent builder for the CompleteResourceTokenAuth operation.

• The fluent builder is configurable:
  • user_identifier(UserIdentifier) / set_user_identifier(Option<UserIdentifier>):
    required: true
    

    The OAuth2.0 token or user ID that was used to generate the workload access token used for initiating the user authorization flow to retrieve OAuth2.0 tokens.

    
    
  • session_uri(impl Into<String>) / set_session_uri(Option<String>):
    required: true
    

    Unique identifier for the user’s authentication session for retrieving OAuth2 tokens. This ID tracks the authorization flow state across multiple requests and responses during the OAuth2 authentication process.

    
    
• On success, responds with CompleteResourceTokenAuthOutput
• On failure, responds with SdkError<CompleteResourceTokenAuthError>

impl Client

pub fn create_ab_test(&self) -> CreateABTestFluentBuilder

Constructs a fluent builder for the CreateABTest operation.

• The fluent builder is configurable:
  • name(impl Into<String>) / set_name(Option<String>):
    required: true
    

    The name of the A/B test. Must be unique within your account.

    
    
  • description(impl Into<String>) / set_description(Option<String>):
    required: false
    

    The description of the A/B test.

    
    
  • gateway_arn(impl Into<String>) / set_gateway_arn(Option<String>):
    required: true
    

    The Amazon Resource Name (ARN) of the gateway to use for traffic splitting.

    
    
  • variants(Variant) / set_variants(Option<Vec::<Variant>>):
    required: true
    

    The list of variants for the A/B test. Must contain exactly two variants: a control (C) and a treatment (T1), each with a configuration bundle or target reference and a traffic weight.

    
    
  • gateway_filter(GatewayFilter) / set_gateway_filter(Option<GatewayFilter>):
    required: false
    

    Optional filter to restrict which gateway target paths are included in the A/B test.

    
    
  • evaluation_config(AbTestEvaluationConfig) / set_evaluation_config(Option<AbTestEvaluationConfig>):
    required: true
    

    The evaluation configuration specifying which online evaluation configurations to use for measuring variant performance.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: true
    

    The IAM role ARN that grants permissions for the A/B test to access gateway and evaluation resources.

    
    
  • enable_on_create(bool) / set_enable_on_create(Option<bool>):
    required: false
    

    Whether to enable the A/B test immediately upon creation. If true, traffic splitting begins automatically.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, the service ignores the request, but does not return an error.

    
    
  • tags(impl Into<String>, impl Into<String>) / set_tags(Option<HashMap::<String, String>>):
    required: false
    

    A map of tag keys and values to associate with the A/B test.

    
    
• On success, responds with CreateAbTestOutput with field(s):
  • ab_test_id(String):

    The unique identifier of the created A/B test.

  • ab_test_arn(String):

    The Amazon Resource Name (ARN) of the created A/B test.

  • name(Option<String>):

    The name of the A/B test.

  • status(AbTestStatus):

    The status of the A/B test.

  • execution_status(AbTestExecutionStatus):

    The execution status indicating whether the A/B test is currently running.

  • created_at(DateTime):

    The timestamp when the A/B test was created.

• On failure, responds with SdkError<CreateABTestError>

impl Client

pub fn create_event(&self) -> CreateEventFluentBuilder

Constructs a fluent builder for the CreateEvent operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource in which to create the event.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: true
    

    The identifier of the actor associated with this event. An actor represents an entity that participates in sessions and generates events.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: false
    

    The identifier of the session in which this event occurs. A session represents a sequence of related events.

    
    
  • event_timestamp(DateTime) / set_event_timestamp(Option<DateTime>):
    required: true
    

    The timestamp when the event occurred. If not specified, the current time is used.

    
    
  • payload(PayloadType) / set_payload(Option<Vec::<PayloadType>>):
    required: true
    

    The content payload of the event. This can include conversational data or binary content.

    
    
  • branch(Branch) / set_branch(Option<Branch>):
    required: false
    

    The branch information for this event. Branches allow for organizing events into different conversation threads or paths.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, AgentCore ignores the request, but does not return an error.

    
    
  • metadata(impl Into<String>, MetadataValue) / set_metadata(Option<HashMap::<String, MetadataValue>>):
    required: false
    

    The key-value metadata to attach to the event.

    
    
  • extraction_mode(ExtractionMode) / set_extraction_mode(Option<ExtractionMode>):
    required: false
    

    Controls long-term memory extraction for this event. When set to SKIP, the event is stored in short-term memory but is excluded from long-term memory extraction. If not specified, the event is processed for extraction as usual.

    
    
• On success, responds with CreateEventOutput with field(s):
  • event(Option<Event>):

    The event that was created.

• On failure, responds with SdkError<CreateEventError>

impl Client

pub fn create_payment_instrument(&self) -> CreatePaymentInstrumentFluentBuilder

Constructs a fluent builder for the CreatePaymentInstrument operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment instrument.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns this payment instrument.

    
    
  • payment_connector_id(impl Into<String>) / set_payment_connector_id(Option<String>):
    required: true
    

    The ID of the payment connector to use for this instrument.

    
    
  • payment_instrument_type(PaymentInstrumentType) / set_payment_instrument_type(Option<PaymentInstrumentType>):
    required: true
    

    The type of payment instrument being created.

    
    
  • payment_instrument_details(PaymentInstrumentDetails) / set_payment_instrument_details(Option<PaymentInstrumentDetails>):
    required: true
    

    The details of the payment instrument.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.

    
    
• On success, responds with CreatePaymentInstrumentOutput with field(s):
  • payment_instrument(Option<PaymentInstrument>):

    The created payment instrument.

• On failure, responds with SdkError<CreatePaymentInstrumentError>

impl Client

pub fn create_payment_session(&self) -> CreatePaymentSessionFluentBuilder

Constructs a fluent builder for the CreatePaymentSession operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment session.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns this session.

    
    
  • limits(SessionLimits) / set_limits(Option<SessionLimits>):
    required: false
    

    The spending limits for this payment session.

    
    
  • expiry_time_in_minutes(i32) / set_expiry_time_in_minutes(Option<i32>):
    required: true
    

    The session expiry time in minutes. Must be between 15 and 480 minutes.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.

    
    
• On success, responds with CreatePaymentSessionOutput with field(s):
  • payment_session(Option<PaymentSession>):

    The created payment session.

• On failure, responds with SdkError<CreatePaymentSessionError>

impl Client

pub fn delete_ab_test(&self) -> DeleteABTestFluentBuilder

Constructs a fluent builder for the DeleteABTest operation.

• The fluent builder is configurable:
  • ab_test_id(impl Into<String>) / set_ab_test_id(Option<String>):
    required: true
    

    The unique identifier of the A/B test to delete.

    
    
• On success, responds with DeleteAbTestOutput with field(s):
  • ab_test_id(String):

    The unique identifier of the deleted A/B test.

  • ab_test_arn(String):

    The Amazon Resource Name (ARN) of the deleted A/B test.

  • status(AbTestStatus):

    The status of the A/B test deletion operation.

• On failure, responds with SdkError<DeleteABTestError>

impl Client

pub fn delete_batch_evaluation(&self) -> DeleteBatchEvaluationFluentBuilder

Constructs a fluent builder for the DeleteBatchEvaluation operation.

• The fluent builder is configurable:
  • batch_evaluation_id(impl Into<String>) / set_batch_evaluation_id(Option<String>):
    required: true
    

    The unique identifier of the batch evaluation to delete.

    
    
• On success, responds with DeleteBatchEvaluationOutput with field(s):
  • batch_evaluation_id(String):

    The unique identifier of the deleted batch evaluation.

  • batch_evaluation_arn(String):

    The Amazon Resource Name (ARN) of the deleted batch evaluation.

  • status(BatchEvaluationStatus):

    The status of the batch evaluation deletion operation.

• On failure, responds with SdkError<DeleteBatchEvaluationError>

impl Client

pub fn delete_event(&self) -> DeleteEventFluentBuilder

Constructs a fluent builder for the DeleteEvent operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource from which to delete the event.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The identifier of the session containing the event to delete.

    
    
  • event_id(impl Into<String>) / set_event_id(Option<String>):
    required: true
    

    The identifier of the event to delete.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: true
    

    The identifier of the actor associated with the event to delete.

    
    
• On success, responds with DeleteEventOutput with field(s):
  • event_id(String):

    The identifier of the event that was deleted.

• On failure, responds with SdkError<DeleteEventError>

impl Client

pub fn delete_memory_record(&self) -> DeleteMemoryRecordFluentBuilder

Constructs a fluent builder for the DeleteMemoryRecord operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource from which to delete the memory record.

    
    
  • memory_record_id(impl Into<String>) / set_memory_record_id(Option<String>):
    required: true
    

    The identifier of the memory record to delete.

    
    
• On success, responds with DeleteMemoryRecordOutput with field(s):
  • memory_record_id(String):

    The identifier of the memory record that was deleted.

• On failure, responds with SdkError<DeleteMemoryRecordError>

impl Client

pub fn delete_payment_instrument(&self) -> DeletePaymentInstrumentFluentBuilder

Constructs a fluent builder for the DeletePaymentInstrument operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID making the delete request. Must match the instrument’s userId.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The payment manager ARN. Must match the instrument’s paymentManagerArn.

    
    
  • payment_connector_id(impl Into<String>) / set_payment_connector_id(Option<String>):
    required: true
    

    The payment connector ID. Must match the instrument’s paymentConnectorId.

    
    
  • payment_instrument_id(impl Into<String>) / set_payment_instrument_id(Option<String>):
    required: true
    

    The payment instrument ID to delete.

    
    
• On success, responds with DeletePaymentInstrumentOutput with field(s):
  • status(PaymentInstrumentStatus):

    The status of the instrument after deletion. Always DELETED for successful soft delete.

• On failure, responds with SdkError<DeletePaymentInstrumentError>

impl Client

pub fn delete_payment_session(&self) -> DeletePaymentSessionFluentBuilder

Constructs a fluent builder for the DeletePaymentSession operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID making the delete request. Must match the session’s userId.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The payment manager ARN. Must match the session’s paymentManagerArn.

    
    
  • payment_session_id(impl Into<String>) / set_payment_session_id(Option<String>):
    required: true
    

    The payment session ID to delete.

    
    
• On success, responds with DeletePaymentSessionOutput with field(s):
  • status(PaymentSessionStatus):

    The status of the deletion. Always DELETED for successful hard delete.

• On failure, responds with SdkError<DeletePaymentSessionError>

impl Client

pub fn delete_recommendation(&self) -> DeleteRecommendationFluentBuilder

Constructs a fluent builder for the DeleteRecommendation operation.

• The fluent builder is configurable:
  • recommendation_id(impl Into<String>) / set_recommendation_id(Option<String>):
    required: true
    

    The unique identifier of the recommendation to delete.

    
    
• On success, responds with DeleteRecommendationOutput with field(s):
  • recommendation_id(String):

    The unique identifier of the deleted recommendation.

  • status(RecommendationStatus):

    The status of the recommendation deletion operation.

• On failure, responds with SdkError<DeleteRecommendationError>

impl Client

pub fn evaluate(&self) -> EvaluateFluentBuilder

Constructs a fluent builder for the Evaluate operation.

• The fluent builder is configurable:
  • evaluator_id(impl Into<String>) / set_evaluator_id(Option<String>):
    required: true
    

    The unique identifier of the evaluator to use for scoring. Can be a built-in evaluator (e.g., Builtin.Helpfulness, Builtin.Correctness) or a custom evaluator Id created through the control plane API.

    
    
  • evaluation_input(EvaluationInput) / set_evaluation_input(Option<EvaluationInput>):
    required: true
    

    The input data containing agent session spans to be evaluated. Includes a list of spans in OpenTelemetry format from supported frameworks like Strands (AgentCore Runtime) or LangGraph with OpenInference instrumentation.

    
    
  • evaluation_target(EvaluationTarget) / set_evaluation_target(Option<EvaluationTarget>):
    required: false
    

    The specific trace or span IDs to evaluate within the provided input. Allows targeting evaluation at different levels: individual tool calls, single request-response interactions (traces), or entire conversation sessions.

    
    
  • evaluation_reference_inputs(EvaluationReferenceInput) / set_evaluation_reference_inputs(Option<Vec::<EvaluationReferenceInput>>):
    required: false
    

    Ground truth data to compare against agent responses during evaluation. Allows to provide expected responses, assertions, and expected tool trajectories at different evaluation levels. Session-level reference inputs apply to the entire conversation, while trace-level reference inputs target specific request-response interactions identified by trace ID.

    
    
• On success, responds with EvaluateOutput with field(s):
  • evaluation_results(Vec::<EvaluationResultContent>):

    The detailed evaluation results containing scores, explanations, and metadata. Includes the evaluator information, numerical or categorical ratings based on the evaluator’s rating scale, and token usage statistics for the evaluation process.

• On failure, responds with SdkError<EvaluateError>

impl Client

pub fn get_ab_test(&self) -> GetABTestFluentBuilder

Constructs a fluent builder for the GetABTest operation.

• The fluent builder is configurable:
  • ab_test_id(impl Into<String>) / set_ab_test_id(Option<String>):
    required: true
    

    The unique identifier of the A/B test to retrieve.

    
    
• On success, responds with GetAbTestOutput with field(s):
  • ab_test_id(String):

    The unique identifier of the A/B test.

  • ab_test_arn(String):

    The Amazon Resource Name (ARN) of the A/B test.

  • name(String):

    The name of the A/B test.

  • description(Option<String>):

    The description of the A/B test.

  • status(AbTestStatus):

    The current status of the A/B test.

  • execution_status(AbTestExecutionStatus):

    The execution status indicating whether the A/B test is currently running.

  • gateway_arn(String):

    The Amazon Resource Name (ARN) of the gateway used for traffic splitting.

  • variants(Vec::<Variant>):

    The list of variants in the A/B test.

  • gateway_filter(Option<GatewayFilter>):

    The gateway filter restricting which target paths are included.

  • evaluation_config(Option<AbTestEvaluationConfig>):

    The evaluation configuration for measuring variant performance.

  • role_arn(Option<String>):

    The IAM role ARN used by the A/B test.

  • current_run_id(Option<String>):

    The identifier of the current run of the A/B test.

  • error_details(Option<Vec::<String>>):

    The error details if the A/B test encountered failures.

  • started_at(Option<DateTime>):

    The timestamp when the A/B test was started.

  • stopped_at(Option<DateTime>):

    The timestamp when the A/B test was stopped.

  • max_duration_expires_at(Option<DateTime>):

    The timestamp when the A/B test will automatically expire.

  • created_at(DateTime):

    The timestamp when the A/B test was created.

  • updated_at(DateTime):

    The timestamp when the A/B test was last updated.

  • results(Option<AbTestResults>):

    The statistical results of the A/B test, including per-evaluator metrics and significance analysis.

• On failure, responds with SdkError<GetABTestError>

impl Client

pub fn get_agent_card(&self) -> GetAgentCardFluentBuilder

Constructs a fluent builder for the GetAgentCard operation.

• The fluent builder is configurable:
  • runtime_session_id(impl Into<String>) / set_runtime_session_id(Option<String>):
    required: false
    

    The session ID that the AgentCore Runtime agent is using.

    
    
  • agent_runtime_arn(impl Into<String>) / set_agent_runtime_arn(Option<String>):
    required: true
    

    The ARN of the AgentCore Runtime agent for which you want to get the A2A agent card.

    
    
  • qualifier(impl Into<String>) / set_qualifier(Option<String>):
    required: false
    

    Optional qualifier to specify an agent alias, such as prodcode> or dev. If you don’t provide a value, the DEFAULT alias is used.

    
    
• On success, responds with GetAgentCardOutput with field(s):
  • runtime_session_id(Option<String>):

    The ID of the session associated with the AgentCore Runtime agent.

  • agent_card(Document):

    An agent card document that contains metadata and capabilities for an AgentCore Runtime agent.

  • status_code(Option<i32>):

    The status code of the request.

• On failure, responds with SdkError<GetAgentCardError>

impl Client

pub fn get_batch_evaluation(&self) -> GetBatchEvaluationFluentBuilder

Constructs a fluent builder for the GetBatchEvaluation operation.

• The fluent builder is configurable:
  • batch_evaluation_id(impl Into<String>) / set_batch_evaluation_id(Option<String>):
    required: true
    

    The unique identifier of the batch evaluation to retrieve.

    
    
• On success, responds with GetBatchEvaluationOutput with field(s):
  • batch_evaluation_id(String):

    The unique identifier of the batch evaluation.

  • batch_evaluation_arn(String):

    The Amazon Resource Name (ARN) of the batch evaluation.

  • batch_evaluation_name(String):

    The name of the batch evaluation.

  • status(BatchEvaluationStatus):

    The current status of the batch evaluation.

  • created_at(DateTime):

    The timestamp when the batch evaluation was created.

  • evaluators(Option<Vec::<Evaluator>>):

    The list of evaluators applied during the batch evaluation.

  • insights(Option<Vec::<Insight>>):

    The list of insight analyses applied during the batch evaluation.

  • data_source_config(Option<DataSourceConfig>):

    The data source configuration specifying where agent traces are pulled from.

  • output_config(Option<OutputConfig>):

    The output configuration specifying where evaluation results are written.

  • evaluation_results(Option<EvaluationJobResults>):

    The aggregated evaluation results, including session completion counts and evaluator score summaries.

  • failure_analysis_result(Option<FailureAnalysisResultContent>):

    The failure analysis results from insights, containing categorized failure clusters with root causes and recommendations.

  • user_intent_result(Option<UserIntentClusteringResultContent>):

    The user intent clustering results from insights, containing grouped user intents across evaluated sessions.

  • execution_summary_result(Option<ExecutionSummaryClusteringResultContent>):

    The execution summary clustering results from insights, containing grouped execution patterns across evaluated sessions.

  • error_details(Option<Vec::<String>>):

    The error details if the batch evaluation encountered failures.

  • description(Option<String>):

    The description of the batch evaluation.

  • updated_at(Option<DateTime>):

    The timestamp when the batch evaluation was last updated.

  • kms_key_arn(Option<String>):

    The ARN of the KMS key used to encrypt evaluation data.

• On failure, responds with SdkError<GetBatchEvaluationError>

impl Client

pub fn get_browser_session(&self) -> GetBrowserSessionFluentBuilder

Constructs a fluent builder for the GetBrowserSession operation.

• The fluent builder is configurable:
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser associated with the session.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the browser session to retrieve.

    
    
• On success, responds with GetBrowserSessionOutput with field(s):
  • browser_identifier(String):

    The identifier of the browser.

  • session_id(String):

    The identifier of the browser session.

  • name(Option<String>):

    The name of the browser session.

  • created_at(DateTime):

    The time at which the browser session was created.

  • view_port(Option<ViewPort>):

    The configuration that defines the dimensions of a browser viewport in a browser session. The viewport determines the visible area of web content and affects how web pages are rendered and displayed. Proper viewport configuration ensures that web content is displayed correctly for the agent’s browsing tasks.

  • extensions(Option<Vec::<BrowserExtension>>):

    The list of browser extensions that are configured in the browser session.

  • enterprise_policies(Option<Vec::<BrowserEnterprisePolicy>>):

    A list of files containing enterprise policies for the browser session.

  • profile_configuration(Option<BrowserProfileConfiguration>):

    The browser profile configuration associated with this session. Contains the profile identifier that links to persistent browser data such as cookies and local storage.

  • session_timeout_seconds(Option<i32>):

    The timeout period for the browser session in seconds.

  • status(Option<BrowserSessionStatus>):

    The current status of the browser session. Possible values include ACTIVE, STOPPING, and STOPPED.

  • streams(Option<BrowserSessionStream>):

    The streams associated with this browser session. These include the automation stream and live view stream.

  • proxy_configuration(Option<ProxyConfiguration>):

    The active proxy configuration for this browser session. This field is only present if proxy configuration was provided when the session was started using StartBrowserSession. The configuration includes proxy servers, domain bypass rules and the proxy authentication credentials.

  • certificates(Option<Vec::<Certificate>>):

    The list of certificates installed in the browser session.

  • session_replay_artifact(Option<String>):

    The artifact containing the session replay information.

  • last_updated_at(Option<DateTime>):

    The time at which the browser session was last updated.

• On failure, responds with SdkError<GetBrowserSessionError>

impl Client

pub fn get_code_interpreter_session( &self, ) -> GetCodeInterpreterSessionFluentBuilder

Constructs a fluent builder for the GetCodeInterpreterSession operation.

• The fluent builder is configurable:
  • code_interpreter_identifier(impl Into<String>) / set_code_interpreter_identifier(Option<String>):
    required: true
    

    The unique identifier of the code interpreter associated with the session.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the code interpreter session to retrieve.

    
    
• On success, responds with GetCodeInterpreterSessionOutput with field(s):
  • code_interpreter_identifier(String):

    The identifier of the code interpreter.

  • session_id(String):

    The identifier of the code interpreter session.

  • name(Option<String>):

    The name of the code interpreter session.

  • created_at(DateTime):

    The time at which the code interpreter session was created.

  • session_timeout_seconds(Option<i32>):

    The timeout period for the code interpreter session in seconds.

  • status(Option<CodeInterpreterSessionStatus>):

    The current status of the code interpreter session. Possible values include ACTIVE, STOPPING, and STOPPED.

  • certificates(Option<Vec::<Certificate>>):

    The list of certificates installed in the code interpreter session.

• On failure, responds with SdkError<GetCodeInterpreterSessionError>

impl Client

pub fn get_event(&self) -> GetEventFluentBuilder

Constructs a fluent builder for the GetEvent operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource containing the event.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The identifier of the session containing the event.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: true
    

    The identifier of the actor associated with the event.

    
    
  • event_id(impl Into<String>) / set_event_id(Option<String>):
    required: true
    

    The identifier of the event to retrieve.

    
    
• On success, responds with GetEventOutput with field(s):
  • event(Option<Event>):

    The requested event information.

• On failure, responds with SdkError<GetEventError>

impl Client

pub fn get_memory_record(&self) -> GetMemoryRecordFluentBuilder

Constructs a fluent builder for the GetMemoryRecord operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource containing the memory record.

    
    
  • memory_record_id(impl Into<String>) / set_memory_record_id(Option<String>):
    required: true
    

    The identifier of the memory record to retrieve.

    
    
• On success, responds with GetMemoryRecordOutput with field(s):
  • memory_record(Option<MemoryRecord>):

    The requested memory record.

• On failure, responds with SdkError<GetMemoryRecordError>

impl Client

pub fn get_payment_instrument(&self) -> GetPaymentInstrumentFluentBuilder

Constructs a fluent builder for the GetPaymentInstrument operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment instrument.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns this payment instrument.

    
    
  • payment_connector_id(impl Into<String>) / set_payment_connector_id(Option<String>):
    required: false
    

    The ID of the payment connector.

    
    
  • payment_instrument_id(impl Into<String>) / set_payment_instrument_id(Option<String>):
    required: true
    

    The ID of the payment instrument to retrieve.

    
    
• On success, responds with GetPaymentInstrumentOutput with field(s):
  • payment_instrument(Option<PaymentInstrument>):

    The payment instrument details.

• On failure, responds with SdkError<GetPaymentInstrumentError>

impl Client

pub fn get_payment_instrument_balance( &self, ) -> GetPaymentInstrumentBalanceFluentBuilder

Constructs a fluent builder for the GetPaymentInstrumentBalance operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment instrument.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns this payment instrument.

    
    
  • payment_connector_id(impl Into<String>) / set_payment_connector_id(Option<String>):
    required: true
    

    The ID of the payment connector associated with this instrument.

    
    
  • payment_instrument_id(impl Into<String>) / set_payment_instrument_id(Option<String>):
    required: true
    

    The ID of the payment instrument to query balance for.

    
    
  • chain(BlockchainChainId) / set_chain(Option<BlockchainChainId>):
    required: true
    

    The specific blockchain chain to query balance on. Required because balances are chain-specific.

    
    
  • token(InstrumentBalanceToken) / set_token(Option<InstrumentBalanceToken>):
    required: true
    

    The token to query balance for. Only tokens supported for X402 payments are returned.

    
    
• On success, responds with GetPaymentInstrumentBalanceOutput with field(s):
  • payment_instrument_id(String):

    The ID of the payment instrument.

  • token_balance(Option<TokenBalance>):

    The balance of the supported token on the requested chain.

• On failure, responds with SdkError<GetPaymentInstrumentBalanceError>

impl Client

pub fn get_payment_session(&self) -> GetPaymentSessionFluentBuilder

Constructs a fluent builder for the GetPaymentSession operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment session.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns this session.

    
    
  • payment_session_id(impl Into<String>) / set_payment_session_id(Option<String>):
    required: true
    

    The ID of the payment session to retrieve.

    
    
• On success, responds with GetPaymentSessionOutput with field(s):
  • payment_session(Option<PaymentSession>):

    The payment session details.

• On failure, responds with SdkError<GetPaymentSessionError>

impl Client

pub fn get_recommendation(&self) -> GetRecommendationFluentBuilder

Constructs a fluent builder for the GetRecommendation operation.

• The fluent builder is configurable:
  • recommendation_id(impl Into<String>) / set_recommendation_id(Option<String>):
    required: true
    

    The unique identifier of the recommendation to retrieve.

    
    
• On success, responds with GetRecommendationOutput with field(s):
  • recommendation_id(String):

    The unique identifier of the recommendation.

  • recommendation_arn(String):

    The Amazon Resource Name (ARN) of the recommendation.

  • name(String):

    The name of the recommendation.

  • description(Option<String>):

    The description of the recommendation.

  • r#type(RecommendationType):

    The type of recommendation.

  • recommendation_config(Option<RecommendationConfig>):

    The configuration for the recommendation.

  • status(RecommendationStatus):

    The current status of the recommendation.

  • created_at(DateTime):

    The timestamp when the recommendation was created.

  • updated_at(DateTime):

    The timestamp when the recommendation was last updated.

  • recommendation_result(Option<RecommendationResult>):

    The result of the recommendation, containing the optimized system prompt or tool descriptions. Only present when the recommendation status is COMPLETED.

  • kms_key_arn(Option<String>):

    The ARN of the KMS key used to encrypt recommendation data.

• On failure, responds with SdkError<GetRecommendationError>

impl Client

pub fn get_resource_api_key(&self) -> GetResourceApiKeyFluentBuilder

Constructs a fluent builder for the GetResourceApiKey operation.

• The fluent builder is configurable:
  • workload_identity_token(impl Into<String>) / set_workload_identity_token(Option<String>):
    required: true
    

    The identity token of the workload from which you want to retrieve the API key.

    
    
  • resource_credential_provider_name(impl Into<String>) / set_resource_credential_provider_name(Option<String>):
    required: true
    

    The credential provider name for the resource from which you are retrieving the API key.

    
    
• On success, responds with GetResourceApiKeyOutput with field(s):
  • api_key(String):

    The API key associated with the resource requested.

• On failure, responds with SdkError<GetResourceApiKeyError>

impl Client

pub fn get_resource_oauth2_token(&self) -> GetResourceOauth2TokenFluentBuilder

Constructs a fluent builder for the GetResourceOauth2Token operation.

• The fluent builder is configurable:
  • workload_identity_token(impl Into<String>) / set_workload_identity_token(Option<String>):
    required: true
    

    The identity token of the workload from which you want to retrieve the OAuth2 token.

    
    
  • resource_credential_provider_name(impl Into<String>) / set_resource_credential_provider_name(Option<String>):
    required: true
    

    The name of the resource’s credential provider.

    
    
  • scopes(impl Into<String>) / set_scopes(Option<Vec::<String>>):
    required: true
    

    The OAuth scopes being requested.

    
    
  • oauth2_flow(Oauth2FlowType) / set_oauth2_flow(Option<Oauth2FlowType>):
    required: true
    

    The type of flow to be performed.

    
    
  • session_uri(impl Into<String>) / set_session_uri(Option<String>):
    required: false
    

    Unique identifier for the user’s authentication session for retrieving OAuth2 tokens. This ID tracks the authorization flow state across multiple requests and responses during the OAuth2 authentication process.

    
    
  • resource_oauth2_return_url(impl Into<String>) / set_resource_oauth2_return_url(Option<String>):
    required: false
    

    The callback URL to redirect to after the OAuth 2.0 token retrieval is complete. This URL must be one of the provided URLs configured for the workload identity.

    
    
  • force_authentication(bool) / set_force_authentication(Option<bool>):
    required: false
    

    Indicates whether to always initiate a new three-legged OAuth (3LO) flow, regardless of any existing session.

    
    
  • custom_parameters(impl Into<String>, impl Into<String>) / set_custom_parameters(Option<HashMap::<String, String>>):
    required: false
    

    A map of custom parameters to include in the authorization request to the resource credential provider. These parameters are in addition to the standard OAuth 2.0 flow parameters, and will not override them.

    
    
  • custom_state(impl Into<String>) / set_custom_state(Option<String>):
    required: false
    

    An opaque string that will be sent back to the callback URL provided in resourceOauth2ReturnUrl. This state should be used to protect the callback URL of your application against CSRF attacks by ensuring the response corresponds to the original request.

    
    
  • resources(impl Into<String>) / set_resources(Option<Vec::<String>>):
    required: false
    

    The resources to include in the token request. These are used to specify the target resources for which the OAuth2 token is being requested.

    
    
  • audiences(impl Into<String>) / set_audiences(Option<Vec::<String>>):
    required: false
    

    The audiences to include in the token request. These are used to specify the intended recipients of the OAuth2 token.

    
    
• On success, responds with GetResourceOauth2TokenOutput with field(s):
  • authorization_url(Option<String>):

    The URL to initiate the authorization process, provided when the access token requires user authorization.

  • access_token(Option<String>):

    The OAuth 2.0 access token to use.

  • session_uri(Option<String>):

    Unique identifier for the user’s authorization session for retrieving OAuth2 tokens. This matches the sessionId from the request and can be used to track the session state.

  • session_status(Option<SessionStatus>):

    Status indicating whether the user’s authorization session is in progress or has failed. This helps determine the next steps in the OAuth2 authentication flow.

• On failure, responds with SdkError<GetResourceOauth2TokenError>

impl Client

pub fn get_resource_payment_token(&self) -> GetResourcePaymentTokenFluentBuilder

Constructs a fluent builder for the GetResourcePaymentToken operation.

• The fluent builder is configurable:
  • workload_identity_token(impl Into<String>) / set_workload_identity_token(Option<String>):
    required: true
    

    Workload access token for authorization.

    
    
  • resource_credential_provider_name(impl Into<String>) / set_resource_credential_provider_name(Option<String>):
    required: true
    

    Name of the payment credential provider to use.

    
    
  • payment_token_request(PaymentTokenRequestInput) / set_payment_token_request(Option<PaymentTokenRequestInput>):
    required: true
    

    Vendor-specific token request input. Contains all request parameters in a type-safe, vendor-specific structure.

    
    
• On success, responds with GetResourcePaymentTokenOutput with field(s):
  • payment_token_response(Option<PaymentTokenResponseOutput>):

    Vendor-specific token response output. Contains all response data in a type-safe, vendor-specific structure.

• On failure, responds with SdkError<GetResourcePaymentTokenError>

impl Client

pub fn get_workload_access_token(&self) -> GetWorkloadAccessTokenFluentBuilder

Constructs a fluent builder for the GetWorkloadAccessToken operation.

• The fluent builder is configurable:
  • workload_name(impl Into<String>) / set_workload_name(Option<String>):
    required: true
    

    The unique identifier for the registered workload.

    
    
• On success, responds with GetWorkloadAccessTokenOutput with field(s):
  • workload_access_token(String):

    An opaque token representing the identity of both the workload and the user.

• On failure, responds with SdkError<GetWorkloadAccessTokenError>

impl Client

pub fn get_workload_access_token_for_jwt( &self, ) -> GetWorkloadAccessTokenForJWTFluentBuilder

Constructs a fluent builder for the GetWorkloadAccessTokenForJWT operation.

• The fluent builder is configurable:
  • workload_name(impl Into<String>) / set_workload_name(Option<String>):
    required: true
    

    The unique identifier for the registered workload.

    
    
  • user_token(impl Into<String>) / set_user_token(Option<String>):
    required: true
    

    The OAuth 2.0 token issued by the user’s identity provider.

    
    
• On success, responds with GetWorkloadAccessTokenForJwtOutput with field(s):
  • workload_access_token(String):

    An opaque token representing the identity of both the workload and the user.

• On failure, responds with SdkError<GetWorkloadAccessTokenForJWTError>

impl Client

pub fn get_workload_access_token_for_user_id( &self, ) -> GetWorkloadAccessTokenForUserIdFluentBuilder

Constructs a fluent builder for the GetWorkloadAccessTokenForUserId operation.

• The fluent builder is configurable:
  • workload_name(impl Into<String>) / set_workload_name(Option<String>):
    required: true
    

    The name of the workload from which you want to retrieve the access token.

    
    
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: true
    

    The ID of the user for whom you are retrieving the access token.

    
    
• On success, responds with GetWorkloadAccessTokenForUserIdOutput with field(s):
  • workload_access_token(String):

    The access token for the specified workload.

• On failure, responds with SdkError<GetWorkloadAccessTokenForUserIdError>

impl Client

pub fn invoke_agent_runtime(&self) -> InvokeAgentRuntimeFluentBuilder

Constructs a fluent builder for the InvokeAgentRuntime operation.

• The fluent builder is configurable:
  • content_type(impl Into<String>) / set_content_type(Option<String>):
    required: false
    

    The MIME type of the input data in the payload. This tells the agent runtime how to interpret the payload data. Common values include application/json for JSON data.

    
    
  • accept(impl Into<String>) / set_accept(Option<String>):
    required: false
    

    The desired MIME type for the response from the agent runtime. This tells the agent runtime what format to use for the response data. Common values include application/json for JSON data.

    
    
  • mcp_session_id(impl Into<String>) / set_mcp_session_id(Option<String>):
    required: false
    

    The identifier of the MCP session.

    
    
  • runtime_session_id(impl Into<String>) / set_runtime_session_id(Option<String>):
    required: false
    

    The identifier of the runtime session.

    
    
  • mcp_protocol_version(impl Into<String>) / set_mcp_protocol_version(Option<String>):
    required: false
    

    The version of the MCP protocol being used.

    
    
  • runtime_user_id(impl Into<String>) / set_runtime_user_id(Option<String>):
    required: false
    

    The identifier of the runtime user.

    
    
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • trace_state(impl Into<String>) / set_trace_state(Option<String>):
    required: false
    

    The trace state information for distributed tracing.

    
    
  • baggage(impl Into<String>) / set_baggage(Option<String>):
    required: false
    

    Additional context information for distributed tracing.

    
    
  • agent_runtime_arn(impl Into<String>) / set_agent_runtime_arn(Option<String>):
    required: true
    

    The identifier of the agent runtime to invoke. You can specify either the full Amazon Web Services Resource Name (ARN) or the agent ID. If you use the agent ID, you must also provide the accountId query parameter.

    
    
  • qualifier(impl Into<String>) / set_qualifier(Option<String>):
    required: false
    

    The qualifier to use for the agent runtime. This is an endpoint name that points to a specific version. If not specified, Amazon Bedrock AgentCore uses the default endpoint of the agent runtime.

    
    
  • account_id(impl Into<String>) / set_account_id(Option<String>):
    required: false
    

    The identifier of the Amazon Web Services account for the agent runtime resource. This parameter is required when you specify an agent ID instead of the full ARN for agentRuntimeArn.

    
    
  • payload(Blob) / set_payload(Option<Blob>):
    required: true
    

    The input data to send to the agent runtime. The format of this data depends on the specific agent configuration and must match the specified content type. For most agents, this is a JSON object containing the user’s request.

    
    
• On success, responds with InvokeAgentRuntimeOutput with field(s):
  • runtime_session_id(Option<String>):

    The identifier of the runtime session.

  • mcp_session_id(Option<String>):

    The identifier of the MCP session.

  • mcp_protocol_version(Option<String>):

    The version of the MCP protocol being used.

  • trace_id(Option<String>):

    The trace identifier for request tracking.

  • trace_parent(Option<String>):

    The parent trace information for distributed tracing.

  • trace_state(Option<String>):

    The trace state information for distributed tracing.

  • baggage(Option<String>):

    Additional context information for distributed tracing.

  • content_type(String):

    The MIME type of the response data. This indicates how to interpret the response data. Common values include application/json for JSON data.

  • response(ByteStream):

    The response data from the agent runtime. The format of this data depends on the specific agent configuration and the requested accept type. For most agents, this is a JSON object containing the agent’s response to the user’s request.

  • status_code(Option<i32>):

    The HTTP status code of the response. A status code of 200 indicates a successful operation. Other status codes indicate various error conditions.

• On failure, responds with SdkError<InvokeAgentRuntimeError>

impl Client

pub fn invoke_agent_runtime_command( &self, ) -> InvokeAgentRuntimeCommandFluentBuilder

Constructs a fluent builder for the InvokeAgentRuntimeCommand operation.

• The fluent builder is configurable:
  • content_type(impl Into<String>) / set_content_type(Option<String>):
    required: false
    

    The MIME type of the input data in the request payload. This tells the agent runtime how to interpret the payload data. Common values include application/json for JSON data.

    
    
  • accept(impl Into<String>) / set_accept(Option<String>):
    required: false
    

    The desired MIME type for the response from the agent runtime command. This tells the agent runtime what format to use for the response data. Common values include application/json for JSON data.

    
    
  • runtime_session_id(impl Into<String>) / set_runtime_session_id(Option<String>):
    required: false
    

    The unique identifier of the runtime session in which to execute the command. This session ID is used to maintain state and context across multiple command invocations.

    
    
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • trace_state(impl Into<String>) / set_trace_state(Option<String>):
    required: false
    

    The trace state information for distributed tracing.

    
    
  • baggage(impl Into<String>) / set_baggage(Option<String>):
    required: false
    

    Additional context information for distributed tracing.

    
    
  • agent_runtime_arn(impl Into<String>) / set_agent_runtime_arn(Option<String>):
    required: true
    

    The Amazon Resource Name (ARN) of the agent runtime on which to execute the command. This identifies the specific agent runtime environment where the command will run.

    
    
  • qualifier(impl Into<String>) / set_qualifier(Option<String>):
    required: false
    

    The qualifier to use for the agent runtime. This is an endpoint name that points to a specific version. If not specified, Amazon Bedrock AgentCore uses the default endpoint of the agent runtime.

    
    
  • account_id(impl Into<String>) / set_account_id(Option<String>):
    required: false
    

    The identifier of the Amazon Web Services account for the agent runtime resource. This parameter is required when you specify an agent ID instead of the full ARN for agentRuntimeArn.

    
    
  • body(InvokeAgentRuntimeCommandRequestBody) / set_body(Option<InvokeAgentRuntimeCommandRequestBody>):
    required: true
    

    The request body containing the command to execute and optional configuration parameters such as timeout settings.

    
    
• On success, responds with InvokeAgentRuntimeCommandOutput with field(s):
  • runtime_session_id(Option<String>):

    The unique identifier of the runtime session in which the command was executed.

  • trace_id(Option<String>):

    The trace identifier for request tracking.

  • trace_parent(Option<String>):

    The parent trace information for distributed tracing.

  • trace_state(Option<String>):

    The trace state information for distributed tracing.

  • baggage(Option<String>):

    Additional context information for distributed tracing.

  • content_type(String):

    The MIME type of the response data. This indicates how to interpret the response data. Common values include application/json for JSON data.

  • status_code(Option<i32>):

    The HTTP status code of the response. A status code of 200 indicates a successful operation. Other status codes indicate various error conditions.

  • stream(EventReceiver<InvokeAgentRuntimeCommandStreamOutput, InvokeAgentRuntimeCommandStreamOutputError>):

    The streaming output from the command execution. This stream contains events that provide real-time updates including standard output, standard error, and completion status.

• On failure, responds with SdkError<InvokeAgentRuntimeCommandError>

impl Client

pub fn invoke_browser(&self) -> InvokeBrowserFluentBuilder

Constructs a fluent builder for the InvokeBrowser operation.

• The fluent builder is configurable:
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser associated with the session. This must match the identifier used when creating the session with StartBrowserSession.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the browser session on which to perform the action. This must be an active session created with StartBrowserSession.

    
    
  • action(BrowserAction) / set_action(Option<BrowserAction>):
    required: true
    

    The browser action to perform. Exactly one member of the BrowserAction union must be set per request.

    
    
• On success, responds with InvokeBrowserOutput with field(s):
  • result(Option<BrowserActionResult>):

    The result of the browser action. The member set in the result corresponds to the action that was performed.

  • session_id(String):

    The unique identifier of the browser session on which the action was performed.

• On failure, responds with SdkError<InvokeBrowserError>

impl Client

pub fn invoke_code_interpreter(&self) -> InvokeCodeInterpreterFluentBuilder

Constructs a fluent builder for the InvokeCodeInterpreter operation.

• The fluent builder is configurable:
  • code_interpreter_identifier(impl Into<String>) / set_code_interpreter_identifier(Option<String>):
    required: true
    

    The unique identifier of the code interpreter associated with the session. This must match the identifier used when creating the session with StartCodeInterpreterSession.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: false
    

    The unique identifier of the code interpreter session to use. This must be an active session created with StartCodeInterpreterSession. If the session has expired or been stopped, the request will fail.

    
    
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • name(ToolName) / set_name(Option<ToolName>):
    required: true
    

    The name of the code interpreter to invoke.

    
    
  • arguments(ToolArguments) / set_arguments(Option<ToolArguments>):
    required: false
    

    The arguments for the code interpreter. This includes the code to execute and any additional parameters such as the programming language, whether to clear the execution context, and other execution options. The structure of this parameter depends on the specific code interpreter being used.

    
    
• On success, responds with InvokeCodeInterpreterOutput with field(s):
  • session_id(Option<String>):

    The identifier of the code interpreter session.

  • stream(EventReceiver<CodeInterpreterStreamOutput, CodeInterpreterStreamOutputError>):

    The stream containing the results of the code execution. This includes output, errors, and execution status.

• On failure, responds with SdkError<InvokeCodeInterpreterError>

impl Client

pub fn invoke_harness(&self) -> InvokeHarnessFluentBuilder

Constructs a fluent builder for the InvokeHarness operation.

• The fluent builder is configurable:
  • harness_arn(impl Into<String>) / set_harness_arn(Option<String>):
    required: true
    

    The ARN of the harness to invoke.

    
    
  • qualifier(impl Into<String>) / set_qualifier(Option<String>):
    required: false
    

    The endpoint name to invoke. If omitted, the DEFAULT endpoint is used.

    
    
  • runtime_session_id(impl Into<String>) / set_runtime_session_id(Option<String>):
    required: true
    

    The session ID for the invocation. Use the same session ID across requests to continue a conversation.

    
    
  • runtime_user_id(impl Into<String>) / set_runtime_user_id(Option<String>):
    required: false
    

    An identifier for the end user making the request. This value is passed through to the runtime container.

    
    
  • messages(HarnessMessage) / set_messages(Option<Vec::<HarnessMessage>>):
    required: true
    

    The messages to send to the agent.

    
    
  • model(HarnessModelConfiguration) / set_model(Option<HarnessModelConfiguration>):
    required: false
    

    The model configuration to use for this invocation. If specified, overrides the harness default.

    
    
  • system_prompt(HarnessSystemContentBlock) / set_system_prompt(Option<Vec::<HarnessSystemContentBlock>>):
    required: false
    

    The system prompt to use for this invocation. If specified, overrides the harness default.

    
    
  • tools(HarnessTool) / set_tools(Option<Vec::<HarnessTool>>):
    required: false
    

    The tools available to the agent for this invocation. If specified, overrides the harness default.

    
    
  • skills(HarnessSkill) / set_skills(Option<Vec::<HarnessSkill>>):
    required: false
    

    The skills available to the agent for this invocation. If specified, overrides the harness default.

    
    
  • allowed_tools(impl Into<String>) / set_allowed_tools(Option<Vec::<String>>):
    required: false
    

    The tools that the agent is allowed to use for this invocation. If specified, overrides the harness default.

    
    
  • max_iterations(i32) / set_max_iterations(Option<i32>):
    required: false
    

    The maximum number of iterations the agent loop can execute. If specified, overrides the harness default.

    
    
  • max_tokens(i32) / set_max_tokens(Option<i32>):
    required: false
    

    The maximum number of tokens the agent can generate per iteration. If specified, overrides the harness default.

    
    
  • timeout_seconds(i32) / set_timeout_seconds(Option<i32>):
    required: false
    

    The maximum duration in seconds for the agent loop execution. If specified, overrides the harness default.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: false
    

    The actor ID for memory operations. Overrides the actor ID configured on the harness.

    
    
• On success, responds with InvokeHarnessOutput with field(s):
  • stream(EventReceiver<InvokeHarnessStreamOutput, InvokeHarnessStreamOutputError>):

    The streaming output from the harness invocation.

• On failure, responds with SdkError<InvokeHarnessError>

impl Client

pub fn list_ab_tests(&self) -> ListABTestsFluentBuilder

Constructs a fluent builder for the ListABTests operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the nextToken field when making another request to return the next batch of results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    If the total number of results is greater than the maxResults value provided in the request, enter the token returned in the nextToken field in the response in this field to return the next batch of results.

    
    
• On success, responds with ListAbTestsOutput with field(s):
  • ab_tests(Vec::<AbTestSummary>):

    The list of A/B test summaries.

  • next_token(Option<String>):

    If the total number of results is greater than the maxResults value provided in the request, use this token when making another request in the nextToken field to return the next batch of results.

• On failure, responds with SdkError<ListABTestsError>

impl Client

pub fn list_actors(&self) -> ListActorsFluentBuilder

Constructs a fluent builder for the ListActors operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource for which to list actors.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
• On success, responds with ListActorsOutput with field(s):
  • actor_summaries(Vec::<ActorSummary>):

    The list of actor summaries.

  • next_token(Option<String>):

    The token to use in a subsequent request to get the next set of results. This value is null when there are no more results to return.

• On failure, responds with SdkError<ListActorsError>

impl Client

pub fn list_batch_evaluations(&self) -> ListBatchEvaluationsFluentBuilder

Constructs a fluent builder for the ListBatchEvaluations operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the nextToken field when making another request to return the next batch of results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    If the total number of results is greater than the maxResults value provided in the request, enter the token returned in the nextToken field in the response in this field to return the next batch of results.

    
    
• On success, responds with ListBatchEvaluationsOutput with field(s):
  • batch_evaluations(Vec::<BatchEvaluationSummary>):

    The list of batch evaluation summaries.

  • next_token(Option<String>):

    If the total number of results is greater than the maxResults value provided in the request, use this token when making another request in the nextToken field to return the next batch of results.

• On failure, responds with SdkError<ListBatchEvaluationsError>

impl Client

pub fn list_browser_sessions(&self) -> ListBrowserSessionsFluentBuilder

Constructs a fluent builder for the ListBrowserSessions operation.

• The fluent builder is configurable:
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser to list sessions for. If specified, only sessions for this browser are returned. If not specified, sessions for all browsers are returned.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 10. Valid values range from 1 to 100. To retrieve the remaining results, make another call with the returned nextToken value.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results. If not specified, Amazon Bedrock AgentCore returns the first page of results.

    
    
  • status(BrowserSessionStatus) / set_status(Option<BrowserSessionStatus>):
    required: false
    

    The status of the browser sessions to list. Valid values include ACTIVE, STOPPING, and STOPPED. If not specified, sessions with any status are returned.

    
    
• On success, responds with ListBrowserSessionsOutput with field(s):
  • items(Vec::<BrowserSessionSummary>):

    The list of browser sessions that match the specified criteria.

  • next_token(Option<String>):

    The token to use in a subsequent ListBrowserSessions request to get the next set of results.

• On failure, responds with SdkError<ListBrowserSessionsError>

impl Client

pub fn list_code_interpreter_sessions( &self, ) -> ListCodeInterpreterSessionsFluentBuilder

Constructs a fluent builder for the ListCodeInterpreterSessions operation.

• The fluent builder is configurable:
  • code_interpreter_identifier(impl Into<String>) / set_code_interpreter_identifier(Option<String>):
    required: true
    

    The unique identifier of the code interpreter to list sessions for. If specified, only sessions for this code interpreter are returned. If not specified, sessions for all code interpreters are returned.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 10. Valid values range from 1 to 100. To retrieve the remaining results, make another call with the returned nextToken value.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results. If not specified, Amazon Bedrock AgentCore returns the first page of results.

    
    
  • status(CodeInterpreterSessionStatus) / set_status(Option<CodeInterpreterSessionStatus>):
    required: false
    

    The status of the code interpreter sessions to list. Valid values include ACTIVE, STOPPING, and STOPPED. If not specified, sessions with any status are returned.

    
    
• On success, responds with ListCodeInterpreterSessionsOutput with field(s):
  • items(Vec::<CodeInterpreterSessionSummary>):

    The list of code interpreter sessions that match the specified criteria.

  • next_token(Option<String>):

    The token to use in a subsequent ListCodeInterpreterSessions request to get the next set of results.

• On failure, responds with SdkError<ListCodeInterpreterSessionsError>

impl Client

pub fn list_events(&self) -> ListEventsFluentBuilder

Constructs a fluent builder for the ListEvents operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource for which to list events.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The identifier of the session for which to list events.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: true
    

    The identifier of the actor for which to list events.

    
    
  • include_payloads(bool) / set_include_payloads(Option<bool>):
    required: false
    

    Specifies whether to include event payloads in the response. Set to true to include payloads, or false to exclude them.

    
    
  • filter(FilterInput) / set_filter(Option<FilterInput>):
    required: false
    

    Filter criteria to apply when listing events.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
• On success, responds with ListEventsOutput with field(s):
  • events(Vec::<Event>):

    The list of events that match the specified criteria.

  • next_token(Option<String>):

    The token to use in a subsequent request to get the next set of results. This value is null when there are no more results to return.

• On failure, responds with SdkError<ListEventsError>

impl Client

pub fn list_memory_extraction_jobs( &self, ) -> ListMemoryExtractionJobsFluentBuilder

Constructs a fluent builder for the ListMemoryExtractionJobs operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The unique identifier of the memory to list extraction jobs for.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
  • filter(ExtractionJobFilterInput) / set_filter(Option<ExtractionJobFilterInput>):
    required: false
    

    Filter criteria to apply when listing extraction jobs.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
• On success, responds with ListMemoryExtractionJobsOutput with field(s):
  • jobs(Vec::<ExtractionJobMetadata>):

    List of extraction job metadata matching the specified criteria.

  • next_token(Option<String>):

    Token to retrieve the next page of results, if available.

• On failure, responds with SdkError<ListMemoryExtractionJobsError>

impl Client

pub fn list_memory_records(&self) -> ListMemoryRecordsFluentBuilder

Constructs a fluent builder for the ListMemoryRecords operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource for which to list memory records.

    
    
  • namespace(impl Into<String>) / set_namespace(Option<String>):
    required: false
    

    The namespace prefix to filter memory records by. Returns all memory records in namespaces that start with the provided prefix. Either namespace or namespacePath is required.

    
    
  • namespace_path(impl Into<String>) / set_namespace_path(Option<String>):
    required: false
    

    Use namespacePath for hierarchical retrievals. Return all memory records where namespace falls under the same parent hierarchy. Either namespace or namespacePath is required.

    
    
  • memory_strategy_id(impl Into<String>) / set_memory_strategy_id(Option<String>):
    required: false
    

    The memory strategy identifier to filter memory records by. If specified, only memory records with this strategy ID are returned.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
  • metadata_filters(MemoryMetadataFilterExpression) / set_metadata_filters(Option<Vec::<MemoryMetadataFilterExpression>>):
    required: false
    

    A list of metadata filter expressions to scope the returned memory records.

    
    
• On success, responds with ListMemoryRecordsOutput with field(s):
  • memory_record_summaries(Vec::<MemoryRecordSummary>):

    The list of memory record summaries that match the specified criteria.

  • next_token(Option<String>):

    The token to use in a subsequent request to get the next set of results. This value is null when there are no more results to return.

• On failure, responds with SdkError<ListMemoryRecordsError>

impl Client

pub fn list_payment_instruments(&self) -> ListPaymentInstrumentsFluentBuilder

Constructs a fluent builder for the ListPaymentInstruments operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with the payment instruments.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns the payment instruments.

    
    
  • payment_connector_id(impl Into<String>) / set_payment_connector_id(Option<String>):
    required: false
    

    The ID of the payment connector to filter by.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    Token for pagination to retrieve the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    Maximum number of results to return in a single response.

    
    
• On success, responds with ListPaymentInstrumentsOutput with field(s):
  • payment_instruments(Vec::<PaymentInstrumentSummary>):

    List of payment instrument summaries matching the request criteria.

  • next_token(Option<String>):

    Token for pagination to retrieve the next set of results.

• On failure, responds with SdkError<ListPaymentInstrumentsError>

impl Client

pub fn list_payment_sessions(&self) -> ListPaymentSessionsFluentBuilder

Constructs a fluent builder for the ListPaymentSessions operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with the payment sessions.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager that owns the sessions.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    Token for pagination to retrieve the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    Maximum number of results to return in a single response.

    
    
• On success, responds with ListPaymentSessionsOutput with field(s):
  • payment_sessions(Vec::<PaymentSessionSummary>):

    List of payment session summaries matching the request criteria.

  • next_token(Option<String>):

    Token for pagination to retrieve the next set of results.

• On failure, responds with SdkError<ListPaymentSessionsError>

impl Client

pub fn list_recommendations(&self) -> ListRecommendationsFluentBuilder

Constructs a fluent builder for the ListRecommendations operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the nextToken field when making another request to return the next batch of results.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    If the total number of results is greater than the maxResults value provided in the request, enter the token returned in the nextToken field in the response in this field to return the next batch of results.

    
    
  • status_filter(RecommendationStatus) / set_status_filter(Option<RecommendationStatus>):
    required: false
    

    Optional filter to return only recommendations with the specified status.

    
    
• On success, responds with ListRecommendationsOutput with field(s):
  • recommendation_summaries(Vec::<RecommendationSummary>):

    The list of recommendation summaries.

  • next_token(Option<String>):

    If the total number of results is greater than the maxResults value provided in the request, use this token when making another request in the nextToken field to return the next batch of results.

• On failure, responds with SdkError<ListRecommendationsError>

impl Client

pub fn list_sessions(&self) -> ListSessionsFluentBuilder

Constructs a fluent builder for the ListSessions operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource for which to list sessions.

    
    
  • actor_id(impl Into<String>) / set_actor_id(Option<String>):
    required: true
    

    The identifier of the actor for which to list sessions.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
  • filter(SessionFilter) / set_filter(Option<SessionFilter>):
    required: false
    

    Filter criteria to apply when listing sessions.

    
    
• On success, responds with ListSessionsOutput with field(s):
  • session_summaries(Vec::<SessionSummary>):

    The list of session summaries that match the specified criteria.

  • next_token(Option<String>):

    The token to use in a subsequent request to get the next set of results. This value is null when there are no more results to return.

• On failure, responds with SdkError<ListSessionsError>

impl Client

pub fn process_payment(&self) -> ProcessPaymentFluentBuilder

Constructs a fluent builder for the ProcessPayment operation.

• The fluent builder is configurable:
  • user_id(impl Into<String>) / set_user_id(Option<String>):
    required: false
    

    The user ID associated with this payment.

    
    
  • agent_name(impl Into<String>) / set_agent_name(Option<String>):
    required: false
    

    The agent name associated with this request, used for observability.

    
    
  • payment_manager_arn(impl Into<String>) / set_payment_manager_arn(Option<String>):
    required: true
    

    The ARN of the payment manager.

    
    
  • payment_session_id(impl Into<String>) / set_payment_session_id(Option<String>):
    required: true
    

    The ID of the payment session.

    
    
  • payment_instrument_id(impl Into<String>) / set_payment_instrument_id(Option<String>):
    required: true
    

    The ID of the payment instrument to use.

    
    
  • payment_type(PaymentType) / set_payment_type(Option<PaymentType>):
    required: true
    

    The type of payment to process.

    
    
  • payment_input(PaymentInput) / set_payment_input(Option<PaymentInput>):
    required: true
    

    The payment input details specific to the payment type.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier that you provide to ensure the idempotency of the request.

    
    
• On success, responds with ProcessPaymentOutput with field(s):
  • process_payment_id(String):

    The unique identifier of the processed payment.

  • payment_manager_arn(String):

    The ARN of the payment manager.

  • payment_session_id(String):

    The ID of the payment session used.

  • payment_instrument_id(String):

    The ID of the payment instrument used.

  • payment_type(PaymentType):

    The type of payment processed.

  • status(PaymentStatus):

    The status of the payment.

  • payment_output(Option<PaymentOutput>):

    The payment output details specific to the payment type.

  • created_at(DateTime):

    The timestamp when the payment was created.

  • updated_at(DateTime):

    The timestamp when the payment was last updated.

• On failure, responds with SdkError<ProcessPaymentError>

impl Client

pub fn retrieve_memory_records(&self) -> RetrieveMemoryRecordsFluentBuilder

Constructs a fluent builder for the RetrieveMemoryRecords operation. This operation supports pagination; See into_paginator().

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The identifier of the AgentCore Memory resource from which to retrieve memory records.

    
    
  • namespace(impl Into<String>) / set_namespace(Option<String>):
    required: false
    

    The namespace prefix to filter memory records by. Searches for memory records in namespaces that start with the provided prefix. Either namespace or namespacePath is required.

    
    
  • namespace_path(impl Into<String>) / set_namespace_path(Option<String>):
    required: false
    

    Use namespacePath for hierarchical retrievals. Return all memory records where namespace falls under the same parent hierarchy. Either namespace or namespacePath is required.

    
    
  • search_criteria(SearchCriteria) / set_search_criteria(Option<SearchCriteria>):
    required: true
    

    The search criteria to use for finding relevant memory records. This includes the search query, memory strategy ID, and other search parameters.

    
    
  • next_token(impl Into<String>) / set_next_token(Option<String>):
    required: false
    

    The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of results to return in a single call. The default value is 20.

    
    
• On success, responds with RetrieveMemoryRecordsOutput with field(s):
  • memory_record_summaries(Vec::<MemoryRecordSummary>):

    The list of memory record summaries that match the search criteria, ordered by relevance.

  • next_token(Option<String>):

    The token to use in a subsequent request to get the next set of results. This value is null when there are no more results to return.

• On failure, responds with SdkError<RetrieveMemoryRecordsError>

impl Client

pub fn save_browser_session_profile( &self, ) -> SaveBrowserSessionProfileFluentBuilder

Constructs a fluent builder for the SaveBrowserSessionProfile operation.

• The fluent builder is configurable:
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • profile_identifier(impl Into<String>) / set_profile_identifier(Option<String>):
    required: true
    

    The unique identifier for the browser profile. This identifier is used to reference the profile when starting new browser sessions. The identifier must follow the pattern of an alphanumeric name (up to 48 characters) followed by a hyphen and a 10-character alphanumeric suffix.

    
    
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser associated with the session from which to save the profile.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the browser session from which to save the profile. The session must be active when saving the profile.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock AgentCore ignores the request, but does not return an error.

    
    
• On success, responds with SaveBrowserSessionProfileOutput with field(s):
  • profile_identifier(String):

    The unique identifier of the saved browser profile.

  • browser_identifier(String):

    The unique identifier of the browser associated with the session from which the profile was saved.

  • session_id(String):

    The unique identifier of the browser session from which the profile was saved.

  • last_updated_at(DateTime):

    The timestamp when the browser profile was last updated. This value is in ISO 8601 format.

• On failure, responds with SdkError<SaveBrowserSessionProfileError>

impl Client

pub fn search_registry_records(&self) -> SearchRegistryRecordsFluentBuilder

Constructs a fluent builder for the SearchRegistryRecords operation.

• The fluent builder is configurable:
  • search_query(impl Into<String>) / set_search_query(Option<String>):
    required: true
    

    The search query to find matching registry records.

    
    
  • registry_ids(impl Into<String>) / set_registry_ids(Option<Vec::<String>>):
    required: true
    

    The list of registry identifiers to search within. Currently, you can specify exactly one registry identifier. You can provide either the full Amazon Web Services Resource Name (ARN) or the 12-character alphanumeric registry ID.

    
    
  • max_results(i32) / set_max_results(Option<i32>):
    required: false
    

    The maximum number of records to return in a single call. Valid values are 1 through 20. The default value is 10.

    
    
  • filters(Document) / set_filters(Option<Document>):
    required: false
    

    A metadata filter expression to narrow search results. Uses structured JSON operators including field-level operators ($eq, $ne, $in) and logical operators ($and, $or) on filterable fields (name, descriptorType, version). For example, to filter by descriptor type: {“descriptorType”: {“$eq”: “MCP”}}. To combine filters: {“$and”: [{“descriptorType”: {“$eq”: “MCP”}}, {“name”: {“$eq”: “my-tool”}}]}.

    
    
• On success, responds with SearchRegistryRecordsOutput with field(s):
  • registry_records(Vec::<RegistryRecordSummary>):

    The list of registry records that match the search query, ordered by relevance.

• On failure, responds with SdkError<SearchRegistryRecordsError>

impl Client

pub fn start_batch_evaluation(&self) -> StartBatchEvaluationFluentBuilder

Constructs a fluent builder for the StartBatchEvaluation operation.

• The fluent builder is configurable:
  • batch_evaluation_name(impl Into<String>) / set_batch_evaluation_name(Option<String>):
    required: true
    

    The name of the batch evaluation. Must be unique within your account.

    
    
  • evaluators(Evaluator) / set_evaluators(Option<Vec::<Evaluator>>):
    required: false
    

    The list of evaluators to apply during the batch evaluation. Can include both built-in evaluators and custom evaluators. Maximum of 10 evaluators.

    
    
  • insights(Insight) / set_insights(Option<Vec::<Insight>>):
    required: false
    

    The list of insight analyses to run against sessions during the batch evaluation. Maximum of 10 insights.

    
    
  • data_source_config(DataSourceConfig) / set_data_source_config(Option<DataSourceConfig>):
    required: true
    

    The data source configuration that specifies where to pull agent session traces from for evaluation.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, the service ignores the request, but does not return an error.

    
    
  • evaluation_metadata(EvaluationMetadata) / set_evaluation_metadata(Option<EvaluationMetadata>):
    required: false
    

    Optional metadata for the evaluation, including session-specific ground truth data and test scenario identifiers.

    
    
  • tags(impl Into<String>, impl Into<String>) / set_tags(Option<HashMap::<String, String>>):
    required: false
    

    A map of tag keys and values to associate with the batch evaluation.

    
    
  • kms_key_arn(impl Into<String>) / set_kms_key_arn(Option<String>):
    required: false
    

    The ARN of the KMS key used to encrypt evaluation data. If provided, customer data is encrypted at rest with the specified key.

    
    
  • description(impl Into<String>) / set_description(Option<String>):
    required: false
    

    The description of the batch evaluation.

    
    
• On success, responds with StartBatchEvaluationOutput with field(s):
  • batch_evaluation_id(String):

    The unique identifier of the created batch evaluation.

  • batch_evaluation_arn(String):

    The Amazon Resource Name (ARN) of the created batch evaluation.

  • batch_evaluation_name(String):

    The name of the batch evaluation.

  • evaluators(Option<Vec::<Evaluator>>):

    The list of evaluators applied during the batch evaluation.

  • insights(Option<Vec::<Insight>>):

    The list of insight analyses applied during the batch evaluation.

  • status(BatchEvaluationStatus):

    The status of the batch evaluation.

  • created_at(DateTime):

    The timestamp when the batch evaluation was created.

  • output_config(Option<OutputConfig>):

    The output configuration specifying where evaluation results are written.

  • tags(Option<HashMap::<String, String>>):

    The tags associated with the batch evaluation.

  • kms_key_arn(Option<String>):

    The ARN of the KMS key used to encrypt evaluation data.

  • description(Option<String>):

    The description of the batch evaluation.

• On failure, responds with SdkError<StartBatchEvaluationError>

impl Client

pub fn start_browser_session(&self) -> StartBrowserSessionFluentBuilder

Constructs a fluent builder for the StartBrowserSession operation.

• The fluent builder is configurable:
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser to use for this session. This identifier specifies which browser environment to initialize for the session.

    
    
  • name(impl Into<String>) / set_name(Option<String>):
    required: false
    

    The name of the browser session. This name helps you identify and manage the session. The name does not need to be unique.

    
    
  • session_timeout_seconds(i32) / set_session_timeout_seconds(Option<i32>):
    required: false
    

    The duration in seconds (time-to-live) after which the session automatically terminates, regardless of ongoing activity. Defaults to 3600 seconds (1 hour). Recommended minimum: 60 seconds. Maximum allowed: 28,800 seconds (8 hours).

    
    
  • view_port(ViewPort) / set_view_port(Option<ViewPort>):
    required: false
    

    The dimensions of the browser viewport for this session. This determines the visible area of the web content and affects how web pages are rendered. If not specified, Amazon Bedrock AgentCore uses a default viewport size.

    
    
  • extensions(BrowserExtension) / set_extensions(Option<Vec::<BrowserExtension>>):
    required: false
    

    A list of browser extensions to load into the browser session.

    
    
  • profile_configuration(BrowserProfileConfiguration) / set_profile_configuration(Option<BrowserProfileConfiguration>):
    required: false
    

    The browser profile configuration to use for this session. A browser profile contains persistent data such as cookies and local storage that can be reused across multiple browser sessions. If specified, the session initializes with the profile’s stored data, enabling continuity for tasks that require authentication or personalized settings.

    
    
  • proxy_configuration(ProxyConfiguration) / set_proxy_configuration(Option<ProxyConfiguration>):
    required: false
    

    Optional proxy configuration for routing browser traffic through customer-specified proxy servers. When provided, enables HTTP Basic authentication via Amazon Web Services Secrets Manager and domain-based routing rules. Requires secretsmanager:GetSecretValue IAM permission for the specified secret ARNs.

    
    
  • enterprise_policies(BrowserEnterprisePolicy) / set_enterprise_policies(Option<Vec::<BrowserEnterprisePolicy>>):
    required: false
    

    A list of files containing enterprise policies for the browser.

    
    
  • certificates(Certificate) / set_certificates(Option<Vec::<Certificate>>):
    required: false
    

    A list of certificates to install in the browser session.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock AgentCore ignores the request, but does not return an error. This parameter helps prevent the creation of duplicate sessions if there are temporary network issues.

    
    
• On success, responds with StartBrowserSessionOutput with field(s):
  • browser_identifier(String):

    The identifier of the browser.

  • session_id(String):

    The unique identifier of the created browser session.

  • created_at(DateTime):

    The timestamp when the browser session was created.

  • streams(Option<BrowserSessionStream>):

    The streams associated with this browser session. These include the automation stream and live view stream.

• On failure, responds with SdkError<StartBrowserSessionError>

impl Client

pub fn start_code_interpreter_session( &self, ) -> StartCodeInterpreterSessionFluentBuilder

Constructs a fluent builder for the StartCodeInterpreterSession operation.

• The fluent builder is configurable:
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • code_interpreter_identifier(impl Into<String>) / set_code_interpreter_identifier(Option<String>):
    required: true
    

    The unique identifier of the code interpreter to use for this session. This identifier specifies which code interpreter environment to initialize for the session.

    
    
  • name(impl Into<String>) / set_name(Option<String>):
    required: false
    

    The name of the code interpreter session. This name helps you identify and manage the session. The name does not need to be unique.

    
    
  • session_timeout_seconds(i32) / set_session_timeout_seconds(Option<i32>):
    required: false
    

    The duration in seconds (time-to-live) after which the session automatically terminates, regardless of ongoing activity. Defaults to 900 seconds (15 minutes). Recommended minimum: 60 seconds. Maximum allowed: 28,800 seconds (8 hours).

    
    
  • certificates(Certificate) / set_certificates(Option<Vec::<Certificate>>):
    required: false
    

    A list of certificates to install in the code interpreter session.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock AgentCore ignores the request, but does not return an error. This parameter helps prevent the creation of duplicate sessions if there are temporary network issues.

    
    
• On success, responds with StartCodeInterpreterSessionOutput with field(s):
  • code_interpreter_identifier(String):

    The identifier of the code interpreter.

  • session_id(String):

    The unique identifier of the created code interpreter session.

  • created_at(DateTime):

    The time at which the code interpreter session was created.

• On failure, responds with SdkError<StartCodeInterpreterSessionError>

impl Client

pub fn start_memory_extraction_job( &self, ) -> StartMemoryExtractionJobFluentBuilder

Constructs a fluent builder for the StartMemoryExtractionJob operation.

• The fluent builder is configurable:
  • memory_id(impl Into<String>) / set_memory_id(Option<String>):
    required: true
    

    The unique identifier of the memory for which to start extraction jobs.

    
    
  • extraction_job(ExtractionJob) / set_extraction_job(Option<ExtractionJob>):
    required: true
    

    Extraction job to start in this operation.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure idempotent processing of the request.

    
    
• On success, responds with StartMemoryExtractionJobOutput with field(s):
  • job_id(String):

    Extraction Job ID that was attempted to start.

• On failure, responds with SdkError<StartMemoryExtractionJobError>

impl Client

pub fn start_recommendation(&self) -> StartRecommendationFluentBuilder

Constructs a fluent builder for the StartRecommendation operation.

• The fluent builder is configurable:
  • name(impl Into<String>) / set_name(Option<String>):
    required: true
    

    The name of the recommendation. Must be unique within your account.

    
    
  • description(impl Into<String>) / set_description(Option<String>):
    required: false
    

    The description of the recommendation.

    
    
  • r#type(RecommendationType) / set_type(Option<RecommendationType>):
    required: true
    

    The type of recommendation to generate. Valid values are SYSTEM_PROMPT_RECOMMENDATION for system prompt optimization or TOOL_DESCRIPTION_RECOMMENDATION for tool description optimization.

    
    
  • recommendation_config(RecommendationConfig) / set_recommendation_config(Option<RecommendationConfig>):
    required: true
    

    The configuration for the recommendation, including the input to optimize, agent traces to analyze, and evaluation settings.

    
    
  • kms_key_arn(impl Into<String>) / set_kms_key_arn(Option<String>):
    required: false
    

    The ARN of the KMS key used to encrypt recommendation data. If provided, customer data is encrypted at rest with the specified key.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, the service ignores the request, but does not return an error.

    
    
  • tags(impl Into<String>, impl Into<String>) / set_tags(Option<HashMap::<String, String>>):
    required: false
    

    A map of tag keys and values to associate with the recommendation.

    
    
• On success, responds with StartRecommendationOutput with field(s):
  • recommendation_id(String):

    The unique identifier of the created recommendation.

  • recommendation_arn(String):

    The Amazon Resource Name (ARN) of the created recommendation.

  • name(String):

    The name of the recommendation.

  • description(Option<String>):

    The description of the recommendation.

  • r#type(RecommendationType):

    The type of recommendation.

  • recommendation_config(Option<RecommendationConfig>):

    The configuration for the recommendation.

  • status(RecommendationStatus):

    The status of the recommendation.

  • created_at(DateTime):

    The timestamp when the recommendation was created.

  • updated_at(DateTime):

    The timestamp when the recommendation was last updated.

• On failure, responds with SdkError<StartRecommendationError>

impl Client

pub fn stop_batch_evaluation(&self) -> StopBatchEvaluationFluentBuilder

Constructs a fluent builder for the StopBatchEvaluation operation.

• The fluent builder is configurable:
  • batch_evaluation_id(impl Into<String>) / set_batch_evaluation_id(Option<String>):
    required: true
    

    The unique identifier of the batch evaluation to stop.

    
    
• On success, responds with StopBatchEvaluationOutput with field(s):
  • batch_evaluation_id(String):

    The unique identifier of the stopped batch evaluation.

  • batch_evaluation_arn(String):

    The Amazon Resource Name (ARN) of the stopped batch evaluation.

  • status(BatchEvaluationStatus):

    The status of the batch evaluation after the stop request.

  • description(Option<String>):

    The description of the batch evaluation.

• On failure, responds with SdkError<StopBatchEvaluationError>

impl Client

pub fn stop_browser_session(&self) -> StopBrowserSessionFluentBuilder

Constructs a fluent builder for the StopBrowserSession operation.

• The fluent builder is configurable:
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The unique identifier of the browser associated with the session.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the browser session to stop.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock AgentCore ignores the request, but does not return an error.

    
    
• On success, responds with StopBrowserSessionOutput with field(s):
  • browser_identifier(String):

    The identifier of the browser.

  • session_id(String):

    The identifier of the browser session.

  • last_updated_at(DateTime):

    The time at which the browser session was last updated.

• On failure, responds with SdkError<StopBrowserSessionError>

impl Client

pub fn stop_code_interpreter_session( &self, ) -> StopCodeInterpreterSessionFluentBuilder

Constructs a fluent builder for the StopCodeInterpreterSession operation.

• The fluent builder is configurable:
  • trace_id(impl Into<String>) / set_trace_id(Option<String>):
    required: false
    

    The trace identifier for request tracking.

    
    
  • trace_parent(impl Into<String>) / set_trace_parent(Option<String>):
    required: false
    

    The parent trace information for distributed tracing.

    
    
  • code_interpreter_identifier(impl Into<String>) / set_code_interpreter_identifier(Option<String>):
    required: true
    

    The unique identifier of the code interpreter associated with the session.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The unique identifier of the code interpreter session to stop.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock AgentCore ignores the request, but does not return an error.

    
    
• On success, responds with StopCodeInterpreterSessionOutput with field(s):
  • code_interpreter_identifier(String):

    The identifier of the code interpreter.

  • session_id(String):

    The identifier of the code interpreter session.

  • last_updated_at(DateTime):

    The timestamp when the code interpreter session was last updated.

• On failure, responds with SdkError<StopCodeInterpreterSessionError>

impl Client

pub fn stop_runtime_session(&self) -> StopRuntimeSessionFluentBuilder

Constructs a fluent builder for the StopRuntimeSession operation.

• The fluent builder is configurable:
  • runtime_session_id(impl Into<String>) / set_runtime_session_id(Option<String>):
    required: true
    

    The ID of the session that you want to stop.

    
    
  • agent_runtime_arn(impl Into<String>) / set_agent_runtime_arn(Option<String>):
    required: true
    

    The ARN of the agent that contains the session that you want to stop.

    
    
  • qualifier(impl Into<String>) / set_qualifier(Option<String>):
    required: false
    

    Optional qualifier to specify an agent alias, such as prodcode> or dev. If you don’t provide a value, the DEFAULT alias is used.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    Idempotent token used to identify the request. If you use the same token with multiple requests, the same response is returned. Use ClientToken to prevent the same request from being processed more than once.

    
    
• On success, responds with StopRuntimeSessionOutput with field(s):
  • runtime_session_id(Option<String>):

    The ID of the session that you requested to stop.

  • status_code(Option<i32>):

    The status code of the request to stop the session.

• On failure, responds with SdkError<StopRuntimeSessionError>

impl Client

pub fn update_ab_test(&self) -> UpdateABTestFluentBuilder

Constructs a fluent builder for the UpdateABTest operation.

• The fluent builder is configurable:
  • ab_test_id(impl Into<String>) / set_ab_test_id(Option<String>):
    required: true
    

    The unique identifier of the A/B test to update.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, the service ignores the request, but does not return an error.

    
    
  • name(impl Into<String>) / set_name(Option<String>):
    required: false
    

    The updated name of the A/B test.

    
    
  • description(impl Into<String>) / set_description(Option<String>):
    required: false
    

    The updated description of the A/B test.

    
    
  • variants(Variant) / set_variants(Option<Vec::<Variant>>):
    required: false
    

    The updated list of variants.

    
    
  • gateway_filter(GatewayFilter) / set_gateway_filter(Option<GatewayFilter>):
    required: false
    

    The updated gateway filter.

    
    
  • evaluation_config(AbTestEvaluationConfig) / set_evaluation_config(Option<AbTestEvaluationConfig>):
    required: false
    

    The updated evaluation configuration.

    
    
  • role_arn(impl Into<String>) / set_role_arn(Option<String>):
    required: false
    

    The updated IAM role ARN.

    
    
  • execution_status(AbTestExecutionStatus) / set_execution_status(Option<AbTestExecutionStatus>):
    required: false
    

    The updated execution status to enable or disable the A/B test.

    
    
• On success, responds with UpdateAbTestOutput with field(s):
  • ab_test_id(String):

    The unique identifier of the updated A/B test.

  • ab_test_arn(String):

    The Amazon Resource Name (ARN) of the updated A/B test.

  • status(AbTestStatus):

    The status of the A/B test.

  • execution_status(AbTestExecutionStatus):

    The execution status of the A/B test.

  • updated_at(DateTime):

    The timestamp when the A/B test was updated.

• On failure, responds with SdkError<UpdateABTestError>

impl Client

pub fn update_browser_stream(&self) -> UpdateBrowserStreamFluentBuilder

Constructs a fluent builder for the UpdateBrowserStream operation.

• The fluent builder is configurable:
  • browser_identifier(impl Into<String>) / set_browser_identifier(Option<String>):
    required: true
    

    The identifier of the browser.

    
    
  • session_id(impl Into<String>) / set_session_id(Option<String>):
    required: true
    

    The identifier of the browser session.

    
    
  • stream_update(StreamUpdate) / set_stream_update(Option<StreamUpdate>):
    required: true
    

    The update to apply to the browser stream.

    
    
  • client_token(impl Into<String>) / set_client_token(Option<String>):
    required: false
    

    A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error.

    
    
• On success, responds with UpdateBrowserStreamOutput with field(s):
  • browser_identifier(String):

    The identifier of the browser.

  • session_id(String):

    The identifier of the browser session.

  • streams(Option<BrowserSessionStream>):

    The collection of streams associated with a browser session in Amazon Bedrock AgentCore. These streams provide different ways to interact with and observe the browser session, including programmatic control and visual representation of the browser content.

  • updated_at(DateTime):

    The time at which the browser stream was updated.

• On failure, responds with SdkError<UpdateBrowserStreamError>

impl Client

pub fn from_conf(conf: Config) -> Self

Creates a new client from the service Config.

Panics

This method will panic in the following cases:

• Retries or timeouts are enabled without a sleep_impl configured.
• Identity caching is enabled without a sleep_impl and time_source configured.
• No behavior_version is provided.

The panic message for each of these will have instructions on how to resolve them.

pub fn config(&self) -> &Config

Returns the client’s configuration.

impl Client

pub fn new(sdk_config: &SdkConfig) -> Self

Creates a new client from an SDK Config.

Panics

• This method will panic if the sdk_config is missing an async sleep implementation. If you experience this panic, set the sleep_impl on the Config passed into this function to fix it.
• This method will panic if the sdk_config is missing an HTTP connector. If you experience this panic, set the http_connector on the Config passed into this function to fix it.
• This method will panic if no BehaviorVersion is provided. If you experience this panic, set behavior_version on the Config or enable the behavior-version-latest Cargo feature.

Trait Implementations

impl Clone for Client

fn clone(&self) -> Client

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Client

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

Formats the value using the given formatter.