Struct aws_sdk_bedrockagent::client::Client

pub struct Client { /* private fields */ }

Client for Agents for Amazon Bedrock

Client for invoking operations on Agents for Amazon Bedrock. Each operation on Agents for Amazon Bedrock 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_bedrockagent::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 Config 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_bedrockagent::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.

Implementations

impl Client

pub fn associate_agent_knowledge_base( &self ) -> AssociateAgentKnowledgeBaseFluentBuilder

Constructs a fluent builder for the AssociateAgentKnowledgeBase operation.

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

    The unique identifier of the agent with which you want to associate the knowledge base.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent with which you want to associate the knowledge base.

    
    
  • knowledge_base_id(impl Into<String>) / set_knowledge_base_id(Option<String>):
    required: true
    

    The unique identifier of the knowledge base to associate with the agent.

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

    A description of what the agent should use the knowledge base for.

    
    
  • knowledge_base_state(KnowledgeBaseState) / set_knowledge_base_state(Option<KnowledgeBaseState>):
    required: false
    

    Specifies whether to use the knowledge base or not when sending an InvokeAgent request.

    
    
• On success, responds with AssociateAgentKnowledgeBaseOutput with field(s):
  • agent_knowledge_base(Option<AgentKnowledgeBase>):

    Contains details about the knowledge base that has been associated with the agent.

• On failure, responds with SdkError<AssociateAgentKnowledgeBaseError>

impl Client

pub fn create_agent(&self) -> CreateAgentFluentBuilder

Constructs a fluent builder for the CreateAgent operation.

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

    A name for the agent that you create.

    
    
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

    
    
  • instruction(impl Into<String>) / set_instruction(Option<String>):
    required: false
    

    Instructions that tell the agent what it should do and how it should interact with users.

    
    
  • foundation_model(impl Into<String>) / set_foundation_model(Option<String>):
    required: false
    

    The foundation model to be used for orchestration by the agent you create.

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

    A description of the agent.

    
    
  • idle_session_ttl_in_seconds(i32) / set_idle_session_ttl_in_seconds(Option<i32>):
    required: false
    

    The number of seconds for which Amazon Bedrock keeps information about a user’s conversation with the agent.

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

    
    
  • agent_resource_role_arn(impl Into<String>) / set_agent_resource_role_arn(Option<String>):
    required: false
    

    The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the agent.

    
    
  • customer_encryption_key_arn(impl Into<String>) / set_customer_encryption_key_arn(Option<String>):
    required: false
    

    The Amazon Resource Name (ARN) of the KMS key with which to encrypt the agent.

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

    Any tags that you want to attach to the agent.

    
    
  • prompt_override_configuration(PromptOverrideConfiguration) / set_prompt_override_configuration(Option<PromptOverrideConfiguration>):
    required: false
    

    Contains configurations to override prompts in different parts of an agent sequence. For more information, see Advanced prompts.

    
    
• On success, responds with CreateAgentOutput with field(s):
  • agent(Option<Agent>):

    Contains details about the agent created.

• On failure, responds with SdkError<CreateAgentError>

impl Client

pub fn create_agent_action_group(&self) -> CreateAgentActionGroupFluentBuilder

Constructs a fluent builder for the CreateAgentActionGroup operation.

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

    The unique identifier of the agent for which to create the action group.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent for which to create the action group.

    
    
  • action_group_name(impl Into<String>) / set_action_group_name(Option<String>):
    required: true
    

    The name to give the action group.

    
    
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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

    A description of the action group.

    
    
  • parent_action_group_signature(ActionGroupSignature) / set_parent_action_group_signature(Option<ActionGroupSignature>):
    required: false
    

    To allow your agent to request the user for additional information when trying to complete a task, set this field to AMAZON.UserInput. You must leave the description, apiSchema, and actionGroupExecutor fields blank for this action group.

    During orchestration, if your agent determines that it needs to invoke an API in an action group, but doesn’t have enough information to complete the API request, it will invoke this action group instead and return an Observation reprompting the user for more information.

    
    
  • action_group_executor(ActionGroupExecutor) / set_action_group_executor(Option<ActionGroupExecutor>):
    required: false
    

    The Amazon Resource Name (ARN) of the Lambda function containing the business logic that is carried out upon invoking the action or the custom control method for handling the information elicited from the user.

    
    
  • api_schema(ApiSchema) / set_api_schema(Option<ApiSchema>):
    required: false
    

    Contains either details about the S3 object containing the OpenAPI schema for the action group or the JSON or YAML-formatted payload defining the schema. For more information, see Action group OpenAPI schemas.

    
    
  • action_group_state(ActionGroupState) / set_action_group_state(Option<ActionGroupState>):
    required: false
    

    Specifies whether the action group is available for the agent to invoke or not when sending an InvokeAgent request.

    
    
  • function_schema(FunctionSchema) / set_function_schema(Option<FunctionSchema>):
    required: false
    

    Contains details about the function schema for the action group or the JSON or YAML-formatted payload defining the schema.

    
    
• On success, responds with CreateAgentActionGroupOutput with field(s):
  • agent_action_group(Option<AgentActionGroup>):

    Contains details about the action group that was created.

• On failure, responds with SdkError<CreateAgentActionGroupError>

impl Client

pub fn create_agent_alias(&self) -> CreateAgentAliasFluentBuilder

Constructs a fluent builder for the CreateAgentAlias operation.

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

    The unique identifier of the agent.

    
    
  • agent_alias_name(impl Into<String>) / set_agent_alias_name(Option<String>):
    required: true
    

    The name of the alias.

    
    
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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

    A description of the alias of the agent.

    
    
  • routing_configuration(AgentAliasRoutingConfigurationListItem) / set_routing_configuration(Option<Vec::<AgentAliasRoutingConfigurationListItem>>):
    required: false
    

    Contains details about the routing configuration of the alias.

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

    Any tags that you want to attach to the alias of the agent.

    
    
• On success, responds with CreateAgentAliasOutput with field(s):
  • agent_alias(Option<AgentAlias>):

    Contains details about the alias that was created.

• On failure, responds with SdkError<CreateAgentAliasError>

impl Client

pub fn create_data_source(&self) -> CreateDataSourceFluentBuilder

Constructs a fluent builder for the CreateDataSource operation.

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

    The unique identifier of the knowledge base to which to add the data source.

    
    
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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

    The name of the data source.

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

    A description of the data source.

    
    
  • data_source_configuration(DataSourceConfiguration) / set_data_source_configuration(Option<DataSourceConfiguration>):
    required: true
    

    Contains metadata about where the data source is stored.

    
    
  • data_deletion_policy(DataDeletionPolicy) / set_data_deletion_policy(Option<DataDeletionPolicy>):
    required: false
    

    The data deletion policy assigned to the data source.

    
    
  • server_side_encryption_configuration(ServerSideEncryptionConfiguration) / set_server_side_encryption_configuration(Option<ServerSideEncryptionConfiguration>):
    required: false
    

    Contains details about the server-side encryption for the data source.

    
    
  • vector_ingestion_configuration(VectorIngestionConfiguration) / set_vector_ingestion_configuration(Option<VectorIngestionConfiguration>):
    required: false
    

    Contains details about how to ingest the documents in the data source.

    
    
• On success, responds with CreateDataSourceOutput with field(s):
  • data_source(Option<DataSource>):

    Contains details about the data source.

• On failure, responds with SdkError<CreateDataSourceError>

impl Client

pub fn create_knowledge_base(&self) -> CreateKnowledgeBaseFluentBuilder

Constructs a fluent builder for the CreateKnowledgeBase operation.

• The fluent builder is configurable:
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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

    A name for the knowledge base.

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

    A description of the knowledge base.

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

    The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the knowledge base.

    
    
  • knowledge_base_configuration(KnowledgeBaseConfiguration) / set_knowledge_base_configuration(Option<KnowledgeBaseConfiguration>):
    required: true
    

    Contains details about the embeddings model used for the knowledge base.

    
    
  • storage_configuration(StorageConfiguration) / set_storage_configuration(Option<StorageConfiguration>):
    required: true
    

    Contains details about the configuration of the vector database used for the knowledge base.

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

    Specify the key-value pairs for the tags that you want to attach to your knowledge base in this object.

    
    
• On success, responds with CreateKnowledgeBaseOutput with field(s):
  • knowledge_base(Option<KnowledgeBase>):

    Contains details about the knowledge base.

• On failure, responds with SdkError<CreateKnowledgeBaseError>

impl Client

pub fn delete_agent(&self) -> DeleteAgentFluentBuilder

Constructs a fluent builder for the DeleteAgent operation.

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

    The unique identifier of the agent to delete.

    
    
  • skip_resource_in_use_check(bool) / set_skip_resource_in_use_check(Option<bool>):
    required: false
    

    By default, this value is false and deletion is stopped if the resource is in use. If you set it to true, the resource will be deleted even if the resource is in use.

    
    
• On success, responds with DeleteAgentOutput with field(s):
  • agent_id(String):

    The unique identifier of the agent that was deleted.

  • agent_status(AgentStatus):

    The status of the agent.

• On failure, responds with SdkError<DeleteAgentError>

impl Client

pub fn delete_agent_action_group(&self) -> DeleteAgentActionGroupFluentBuilder

Constructs a fluent builder for the DeleteAgentActionGroup operation.

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

    The unique identifier of the agent that the action group belongs to.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent that the action group belongs to.

    
    
  • action_group_id(impl Into<String>) / set_action_group_id(Option<String>):
    required: true
    

    The unique identifier of the action group to delete.

    
    
  • skip_resource_in_use_check(bool) / set_skip_resource_in_use_check(Option<bool>):
    required: false
    

    By default, this value is false and deletion is stopped if the resource is in use. If you set it to true, the resource will be deleted even if the resource is in use.

    
    
• On success, responds with DeleteAgentActionGroupOutput
• On failure, responds with SdkError<DeleteAgentActionGroupError>

impl Client

pub fn delete_agent_alias(&self) -> DeleteAgentAliasFluentBuilder

Constructs a fluent builder for the DeleteAgentAlias operation.

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

    The unique identifier of the agent that the alias belongs to.

    
    
  • agent_alias_id(impl Into<String>) / set_agent_alias_id(Option<String>):
    required: true
    

    The unique identifier of the alias to delete.

    
    
• On success, responds with DeleteAgentAliasOutput with field(s):
  • agent_id(String):

    The unique identifier of the agent that the alias belongs to.

  • agent_alias_id(String):

    The unique identifier of the alias that was deleted.

  • agent_alias_status(AgentAliasStatus):

    The status of the alias.

• On failure, responds with SdkError<DeleteAgentAliasError>

impl Client

pub fn delete_agent_version(&self) -> DeleteAgentVersionFluentBuilder

Constructs a fluent builder for the DeleteAgentVersion operation.

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

    The unique identifier of the agent that the version belongs to.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent to delete.

    
    
  • skip_resource_in_use_check(bool) / set_skip_resource_in_use_check(Option<bool>):
    required: false
    

    By default, this value is false and deletion is stopped if the resource is in use. If you set it to true, the resource will be deleted even if the resource is in use.

    
    
• On success, responds with DeleteAgentVersionOutput with field(s):
  • agent_id(String):

    The unique identifier of the agent that the version belongs to.

  • agent_version(String):

    The version that was deleted.

  • agent_status(AgentStatus):

    The status of the agent version.

• On failure, responds with SdkError<DeleteAgentVersionError>

impl Client

pub fn delete_data_source(&self) -> DeleteDataSourceFluentBuilder

Constructs a fluent builder for the DeleteDataSource operation.

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

    The unique identifier of the knowledge base from which to delete the data source.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source to delete.

    
    
• On success, responds with DeleteDataSourceOutput with field(s):
  • knowledge_base_id(String):

    The unique identifier of the knowledge base to which the data source that was deleted belonged.

  • data_source_id(String):

    The unique identifier of the data source that was deleted.

  • status(DataSourceStatus):

    The status of the data source.

• On failure, responds with SdkError<DeleteDataSourceError>

impl Client

pub fn delete_knowledge_base(&self) -> DeleteKnowledgeBaseFluentBuilder

Constructs a fluent builder for the DeleteKnowledgeBase operation.

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

    The unique identifier of the knowledge base to delete.

    
    
• On success, responds with DeleteKnowledgeBaseOutput with field(s):
  • knowledge_base_id(String):

    The unique identifier of the knowledge base that was deleted.

  • status(KnowledgeBaseStatus):

    The status of the knowledge base and whether it has been successfully deleted.

• On failure, responds with SdkError<DeleteKnowledgeBaseError>

impl Client

pub fn disassociate_agent_knowledge_base( &self ) -> DisassociateAgentKnowledgeBaseFluentBuilder

Constructs a fluent builder for the DisassociateAgentKnowledgeBase operation.

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

    The unique identifier of the agent from which to disassociate the knowledge base.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent from which to disassociate the knowledge base.

    
    
  • knowledge_base_id(impl Into<String>) / set_knowledge_base_id(Option<String>):
    required: true
    

    The unique identifier of the knowledge base to disassociate.

    
    
• On success, responds with DisassociateAgentKnowledgeBaseOutput
• On failure, responds with SdkError<DisassociateAgentKnowledgeBaseError>

impl Client

pub fn get_agent(&self) -> GetAgentFluentBuilder

Constructs a fluent builder for the GetAgent operation.

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

    The unique identifier of the agent.

    
    
• On success, responds with GetAgentOutput with field(s):
  • agent(Option<Agent>):

    Contains details about the agent.

• On failure, responds with SdkError<GetAgentError>

impl Client

pub fn get_agent_action_group(&self) -> GetAgentActionGroupFluentBuilder

Constructs a fluent builder for the GetAgentActionGroup operation.

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

    The unique identifier of the agent that the action group belongs to.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent that the action group belongs to.

    
    
  • action_group_id(impl Into<String>) / set_action_group_id(Option<String>):
    required: true
    

    The unique identifier of the action group for which to get information.

    
    
• On success, responds with GetAgentActionGroupOutput with field(s):
  • agent_action_group(Option<AgentActionGroup>):

    Contains details about the action group.

• On failure, responds with SdkError<GetAgentActionGroupError>

impl Client

pub fn get_agent_alias(&self) -> GetAgentAliasFluentBuilder

Constructs a fluent builder for the GetAgentAlias operation.

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

    The unique identifier of the agent to which the alias to get information belongs.

    
    
  • agent_alias_id(impl Into<String>) / set_agent_alias_id(Option<String>):
    required: true
    

    The unique identifier of the alias for which to get information.

    
    
• On success, responds with GetAgentAliasOutput with field(s):
  • agent_alias(Option<AgentAlias>):

    Contains information about the alias.

• On failure, responds with SdkError<GetAgentAliasError>

impl Client

pub fn get_agent_knowledge_base(&self) -> GetAgentKnowledgeBaseFluentBuilder

Constructs a fluent builder for the GetAgentKnowledgeBase operation.

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

    The unique identifier of the agent with which the knowledge base is associated.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent with which the knowledge base is associated.

    
    
  • knowledge_base_id(impl Into<String>) / set_knowledge_base_id(Option<String>):
    required: true
    

    The unique identifier of the knowledge base associated with the agent.

    
    
• On success, responds with GetAgentKnowledgeBaseOutput with field(s):
  • agent_knowledge_base(Option<AgentKnowledgeBase>):

    Contains details about a knowledge base attached to an agent.

• On failure, responds with SdkError<GetAgentKnowledgeBaseError>

impl Client

pub fn get_agent_version(&self) -> GetAgentVersionFluentBuilder

Constructs a fluent builder for the GetAgentVersion operation.

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

    The unique identifier of the agent.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent.

    
    
• On success, responds with GetAgentVersionOutput with field(s):
  • agent_version(Option<AgentVersion>):

    Contains details about the version of the agent.

• On failure, responds with SdkError<GetAgentVersionError>

impl Client

pub fn get_data_source(&self) -> GetDataSourceFluentBuilder

Constructs a fluent builder for the GetDataSource operation.

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

    The unique identifier of the knowledge base that the data source was added to.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source.

    
    
• On success, responds with GetDataSourceOutput with field(s):
  • data_source(Option<DataSource>):

    Contains details about the data source.

• On failure, responds with SdkError<GetDataSourceError>

impl Client

pub fn get_ingestion_job(&self) -> GetIngestionJobFluentBuilder

Constructs a fluent builder for the GetIngestionJob operation.

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

    The unique identifier of the knowledge base for which the ingestion job applies.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source in the ingestion job.

    
    
  • ingestion_job_id(impl Into<String>) / set_ingestion_job_id(Option<String>):
    required: true
    

    The unique identifier of the ingestion job.

    
    
• On success, responds with GetIngestionJobOutput with field(s):
  • ingestion_job(Option<IngestionJob>):

    Contains details about the ingestion job.

• On failure, responds with SdkError<GetIngestionJobError>

impl Client

pub fn get_knowledge_base(&self) -> GetKnowledgeBaseFluentBuilder

Constructs a fluent builder for the GetKnowledgeBase operation.

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

    The unique identifier of the knowledge base for which to get information.

    
    
• On success, responds with GetKnowledgeBaseOutput with field(s):
  • knowledge_base(Option<KnowledgeBase>):

    Contains details about the knowledge base.

• On failure, responds with SdkError<GetKnowledgeBaseError>

impl Client

pub fn list_agent_action_groups(&self) -> ListAgentActionGroupsFluentBuilder

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

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

    The unique identifier of the agent.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent.

    
    
  • 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 ListAgentActionGroupsOutput with field(s):
  • action_group_summaries(Vec::<ActionGroupSummary>):

    A list of objects, each of which contains information about an action group.

  • 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<ListAgentActionGroupsError>

impl Client

pub fn list_agent_aliases(&self) -> ListAgentAliasesFluentBuilder

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

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

    The unique identifier of the agent.

    
    
  • 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 ListAgentAliasesOutput with field(s):
  • agent_alias_summaries(Vec::<AgentAliasSummary>):

    A list of objects, each of which contains information about an alias of the agent.

  • 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<ListAgentAliasesError>

impl Client

pub fn list_agent_knowledge_bases(&self) -> ListAgentKnowledgeBasesFluentBuilder

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

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

    The unique identifier of the agent for which to return information about knowledge bases associated with it.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent for which to return information about knowledge bases associated with it.

    
    
  • 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 ListAgentKnowledgeBasesOutput with field(s):
  • agent_knowledge_base_summaries(Vec::<AgentKnowledgeBaseSummary>):

    A list of objects, each of which contains information about a knowledge base associated with the agent.

  • 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<ListAgentKnowledgeBasesError>

impl Client

pub fn list_agent_versions(&self) -> ListAgentVersionsFluentBuilder

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

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

    The unique identifier of the agent.

    
    
  • 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 ListAgentVersionsOutput with field(s):
  • agent_version_summaries(Vec::<AgentVersionSummary>):

    A list of objects, each of which contains information about a version of the agent.

  • 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<ListAgentVersionsError>

impl Client

pub fn list_agents(&self) -> ListAgentsFluentBuilder

Constructs a fluent builder for the ListAgents 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 ListAgentsOutput with field(s):
  • agent_summaries(Vec::<AgentSummary>):

    A list of objects, each of which contains information about an agent.

  • 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<ListAgentsError>

impl Client

pub fn list_data_sources(&self) -> ListDataSourcesFluentBuilder

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

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

    The unique identifier of the knowledge base for which to return a list of information.

    
    
  • 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 ListDataSourcesOutput with field(s):
  • data_source_summaries(Vec::<DataSourceSummary>):

    A list of objects, each of which contains information about a data source.

  • 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<ListDataSourcesError>

impl Client

pub fn list_ingestion_jobs(&self) -> ListIngestionJobsFluentBuilder

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

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

    The unique identifier of the knowledge base for which to return ingestion jobs.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source for which to return ingestion jobs.

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

    Contains a definition of a filter for which to filter the results.

    
    
  • sort_by(IngestionJobSortBy) / set_sort_by(Option<IngestionJobSortBy>):
    required: false
    

    Contains details about how to sort the results.

    
    
  • 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 ListIngestionJobsOutput with field(s):
  • ingestion_job_summaries(Vec::<IngestionJobSummary>):

    A list of objects, each of which contains information about an ingestion job.

  • 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<ListIngestionJobsError>

impl Client

pub fn list_knowledge_bases(&self) -> ListKnowledgeBasesFluentBuilder

Constructs a fluent builder for the ListKnowledgeBases 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 ListKnowledgeBasesOutput with field(s):
  • knowledge_base_summaries(Vec::<KnowledgeBaseSummary>):

    A list of objects, each of which contains information about a knowledge base.

  • 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<ListKnowledgeBasesError>

impl Client

pub fn list_tags_for_resource(&self) -> ListTagsForResourceFluentBuilder

Constructs a fluent builder for the ListTagsForResource operation.

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

    The Amazon Resource Name (ARN) of the resource for which to list tags.

    
    
• On success, responds with ListTagsForResourceOutput with field(s):
  • tags(Option<HashMap::<String, String>>):

    The key-value pairs for the tags associated with the resource.

• On failure, responds with SdkError<ListTagsForResourceError>

impl Client

pub fn prepare_agent(&self) -> PrepareAgentFluentBuilder

Constructs a fluent builder for the PrepareAgent operation.

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

    The unique identifier of the agent for which to create a DRAFT version.

    
    
• On success, responds with PrepareAgentOutput with field(s):
  • agent_id(String):

    The unique identifier of the agent for which the DRAFT version was created.

  • agent_status(AgentStatus):

    The status of the DRAFT version and whether it is ready for use.

  • agent_version(String):

    The version of the agent.

  • prepared_at(DateTime):

    The time at which the DRAFT version of the agent was last prepared.

• On failure, responds with SdkError<PrepareAgentError>

impl Client

pub fn start_ingestion_job(&self) -> StartIngestionJobFluentBuilder

Constructs a fluent builder for the StartIngestionJob operation.

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

    The unique identifier of the knowledge base to which to add the data source.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source to ingest.

    
    
  • 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 ignores the request, but does not return an error. For more information, see Ensuring idempotency.

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

    A description of the ingestion job.

    
    
• On success, responds with StartIngestionJobOutput with field(s):
  • ingestion_job(Option<IngestionJob>):

    An object containing information about the ingestion job.

• On failure, responds with SdkError<StartIngestionJobError>

impl Client

pub fn tag_resource(&self) -> TagResourceFluentBuilder

Constructs a fluent builder for the TagResource operation.

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

    The Amazon Resource Name (ARN) of the resource to tag.

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

    An object containing key-value pairs that define the tags to attach to the resource.

    
    
• On success, responds with TagResourceOutput
• On failure, responds with SdkError<TagResourceError>

impl Client

pub fn untag_resource(&self) -> UntagResourceFluentBuilder

Constructs a fluent builder for the UntagResource operation.

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

    The Amazon Resource Name (ARN) of the resource from which to remove tags.

    
    
  • tag_keys(impl Into<String>) / set_tag_keys(Option<Vec::<String>>):
    required: true
    

    A list of keys of the tags to remove from the resource.

    
    
• On success, responds with UntagResourceOutput
• On failure, responds with SdkError<UntagResourceError>

impl Client

pub fn update_agent(&self) -> UpdateAgentFluentBuilder

Constructs a fluent builder for the UpdateAgent operation.

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

    The unique identifier of the agent.

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

    Specifies a new name for the agent.

    
    
  • instruction(impl Into<String>) / set_instruction(Option<String>):
    required: false
    

    Specifies new instructions that tell the agent what it should do and how it should interact with users.

    
    
  • foundation_model(impl Into<String>) / set_foundation_model(Option<String>):
    required: true
    

    Specifies a new foundation model to be used for orchestration by the agent.

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

    Specifies a new description of the agent.

    
    
  • idle_session_ttl_in_seconds(i32) / set_idle_session_ttl_in_seconds(Option<i32>):
    required: false
    

    The number of seconds for which Amazon Bedrock keeps information about a user’s conversation with the agent.

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

    
    
  • agent_resource_role_arn(impl Into<String>) / set_agent_resource_role_arn(Option<String>):
    required: true
    

    The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the agent.

    
    
  • customer_encryption_key_arn(impl Into<String>) / set_customer_encryption_key_arn(Option<String>):
    required: false
    

    The Amazon Resource Name (ARN) of the KMS key with which to encrypt the agent.

    
    
  • prompt_override_configuration(PromptOverrideConfiguration) / set_prompt_override_configuration(Option<PromptOverrideConfiguration>):
    required: false
    

    Contains configurations to override prompts in different parts of an agent sequence. For more information, see Advanced prompts.

    
    
• On success, responds with UpdateAgentOutput with field(s):
  • agent(Option<Agent>):

    Contains details about the agent that was updated.

• On failure, responds with SdkError<UpdateAgentError>

impl Client

pub fn update_agent_action_group(&self) -> UpdateAgentActionGroupFluentBuilder

Constructs a fluent builder for the UpdateAgentActionGroup operation.

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

    The unique identifier of the agent for which to update the action group.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The unique identifier of the agent version for which to update the action group.

    
    
  • action_group_id(impl Into<String>) / set_action_group_id(Option<String>):
    required: true
    

    The unique identifier of the action group.

    
    
  • action_group_name(impl Into<String>) / set_action_group_name(Option<String>):
    required: true
    

    Specifies a new name for the action group.

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

    Specifies a new name for the action group.

    
    
  • parent_action_group_signature(ActionGroupSignature) / set_parent_action_group_signature(Option<ActionGroupSignature>):
    required: false
    

    To allow your agent to request the user for additional information when trying to complete a task, set this field to AMAZON.UserInput. You must leave the description, apiSchema, and actionGroupExecutor fields blank for this action group.

    During orchestration, if your agent determines that it needs to invoke an API in an action group, but doesn’t have enough information to complete the API request, it will invoke this action group instead and return an Observation reprompting the user for more information.

    
    
  • action_group_executor(ActionGroupExecutor) / set_action_group_executor(Option<ActionGroupExecutor>):
    required: false
    

    The Amazon Resource Name (ARN) of the Lambda function containing the business logic that is carried out upon invoking the action.

    
    
  • action_group_state(ActionGroupState) / set_action_group_state(Option<ActionGroupState>):
    required: false
    

    Specifies whether the action group is available for the agent to invoke or not when sending an InvokeAgent request.

    
    
  • api_schema(ApiSchema) / set_api_schema(Option<ApiSchema>):
    required: false
    

    Contains either details about the S3 object containing the OpenAPI schema for the action group or the JSON or YAML-formatted payload defining the schema. For more information, see Action group OpenAPI schemas.

    
    
  • function_schema(FunctionSchema) / set_function_schema(Option<FunctionSchema>):
    required: false
    

    Contains details about the function schema for the action group or the JSON or YAML-formatted payload defining the schema.

    
    
• On success, responds with UpdateAgentActionGroupOutput with field(s):
  • agent_action_group(Option<AgentActionGroup>):

    Contains details about the action group that was updated.

• On failure, responds with SdkError<UpdateAgentActionGroupError>

impl Client

pub fn update_agent_alias(&self) -> UpdateAgentAliasFluentBuilder

Constructs a fluent builder for the UpdateAgentAlias operation.

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

    The unique identifier of the agent.

    
    
  • agent_alias_id(impl Into<String>) / set_agent_alias_id(Option<String>):
    required: true
    

    The unique identifier of the alias.

    
    
  • agent_alias_name(impl Into<String>) / set_agent_alias_name(Option<String>):
    required: true
    

    Specifies a new name for the alias.

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

    Specifies a new description for the alias.

    
    
  • routing_configuration(AgentAliasRoutingConfigurationListItem) / set_routing_configuration(Option<Vec::<AgentAliasRoutingConfigurationListItem>>):
    required: false
    

    Contains details about the routing configuration of the alias.

    
    
• On success, responds with UpdateAgentAliasOutput with field(s):
  • agent_alias(Option<AgentAlias>):

    Contains details about the alias that was updated.

• On failure, responds with SdkError<UpdateAgentAliasError>

impl Client

pub fn update_agent_knowledge_base( &self ) -> UpdateAgentKnowledgeBaseFluentBuilder

Constructs a fluent builder for the UpdateAgentKnowledgeBase operation.

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

    The unique identifier of the agent associated with the knowledge base that you want to update.

    
    
  • agent_version(impl Into<String>) / set_agent_version(Option<String>):
    required: true
    

    The version of the agent associated with the knowledge base that you want to update.

    
    
  • knowledge_base_id(impl Into<String>) / set_knowledge_base_id(Option<String>):
    required: true
    

    The unique identifier of the knowledge base that has been associated with an agent.

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

    Specifies a new description for the knowledge base associated with an agent.

    
    
  • knowledge_base_state(KnowledgeBaseState) / set_knowledge_base_state(Option<KnowledgeBaseState>):
    required: false
    

    Specifies whether the agent uses the knowledge base or not when sending an InvokeAgent request.

    
    
• On success, responds with UpdateAgentKnowledgeBaseOutput with field(s):
  • agent_knowledge_base(Option<AgentKnowledgeBase>):

    Contains details about the knowledge base that has been associated with an agent.

• On failure, responds with SdkError<UpdateAgentKnowledgeBaseError>

impl Client

pub fn update_data_source(&self) -> UpdateDataSourceFluentBuilder

Constructs a fluent builder for the UpdateDataSource operation.

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

    The unique identifier of the knowledge base to which the data source belongs.

    
    
  • data_source_id(impl Into<String>) / set_data_source_id(Option<String>):
    required: true
    

    The unique identifier of the data source.

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

    Specifies a new name for the data source.

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

    Specifies a new description for the data source.

    
    
  • data_source_configuration(DataSourceConfiguration) / set_data_source_configuration(Option<DataSourceConfiguration>):
    required: true
    

    Contains details about the storage configuration of the data source.

    
    
  • data_deletion_policy(DataDeletionPolicy) / set_data_deletion_policy(Option<DataDeletionPolicy>):
    required: false
    

    The data deletion policy of the updated data source.

    
    
  • server_side_encryption_configuration(ServerSideEncryptionConfiguration) / set_server_side_encryption_configuration(Option<ServerSideEncryptionConfiguration>):
    required: false
    

    Contains details about server-side encryption of the data source.

    
    
  • vector_ingestion_configuration(VectorIngestionConfiguration) / set_vector_ingestion_configuration(Option<VectorIngestionConfiguration>):
    required: false
    

    Contains details about how to ingest the documents in the data source.

    
    
• On success, responds with UpdateDataSourceOutput with field(s):
  • data_source(Option<DataSource>):

    Contains details about the data source.

• On failure, responds with SdkError<UpdateDataSourceError>

impl Client

pub fn update_knowledge_base(&self) -> UpdateKnowledgeBaseFluentBuilder

Constructs a fluent builder for the UpdateKnowledgeBase operation.

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

    The unique identifier of the knowledge base to update.

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

    Specifies a new name for the knowledge base.

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

    Specifies a new description for the knowledge base.

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

    Specifies a different Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the knowledge base.

    
    
  • knowledge_base_configuration(KnowledgeBaseConfiguration) / set_knowledge_base_configuration(Option<KnowledgeBaseConfiguration>):
    required: true
    

    Specifies the configuration for the embeddings model used for the knowledge base. You must use the same configuration as when the knowledge base was created.

    
    
  • storage_configuration(StorageConfiguration) / set_storage_configuration(Option<StorageConfiguration>):
    required: true
    

    Specifies the configuration for the vector store used for the knowledge base. You must use the same configuration as when the knowledge base was created.

    
    
• On success, responds with UpdateKnowledgeBaseOutput with field(s):
  • knowledge_base(Option<KnowledgeBase>):

    Contains details about the knowledge base.

• On failure, responds with SdkError<UpdateKnowledgeBaseError>

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 copy 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.