get_agent_memory ¶

def get_agent_memory(
    self,
    agent_id: "capo_bedrock_agent_runtime.types.agent_id.AgentId",
    agent_alias_id: "capo_bedrock_agent_runtime.types.agent_alias_id.AgentAliasId",
    memory_type: "capo_bedrock_agent_runtime.types.memory_type.MemoryType",
    memory_id: "capo_bedrock_agent_runtime.types.memory_id.MemoryId",
    *,
    config_overrides: Optional[BedrockAgentRuntimeClientConfig] = None,
    next_token: Optional[
        "capo_bedrock_agent_runtime.types.next_token.NextToken"
    ] = None,
    max_items: Optional[
        "capo_bedrock_agent_runtime.types.max_results.MaxResults"
    ] = None,
) -> "capo_bedrock_agent_runtime.types.get_agent_memory_response.GetAgentMemoryResponse":
    """<p>Gets the sessions stored in the memory of the agent.</p>

    Args:
        next_token: <p>If the total number of results is greater than the maxItems value provided in the request, enter the token returned in the <code>nextToken</code> field in the response in this field to return the next batch of results.</p>
        max_items: <p>The maximum number of items 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 <code>nextToken</code> field when making another request to return the next batch of results.</p>
        agent_id: <p>The unique identifier of the agent to which the alias belongs.</p>
        agent_alias_id: <p>The unique identifier of an alias of an agent.</p>
        memory_type: <p>The type of memory.</p>
        memory_id: <p>The unique identifier of the memory. </p>

    Raises:
        capo_bedrock_agent_runtime.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions. Check your permissions and retry your request.</p>
        capo_bedrock_agent_runtime.errors.bad_gateway_exception.BadGatewayException: <p>There was an issue with a dependency due to a server issue. Retry your request.</p>
        capo_bedrock_agent_runtime.errors.conflict_exception.ConflictException: <p>There was a conflict performing an operation. Resolve the conflict and retry your request.</p>
        capo_bedrock_agent_runtime.errors.dependency_failed_exception.DependencyFailedException: <p>There was an issue with a dependency. Check the resource configurations and retry the request.</p>
        capo_bedrock_agent_runtime.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent_runtime.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock_agent_runtime.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The number of requests exceeds the service quota. Resubmit your request later.</p>
        capo_bedrock_agent_runtime.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent_runtime.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent_runtime.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agent_runtime.types.get_agent_memory_request.GetAgentMemoryRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agent_runtime.types.get_agent_memory_response.GetAgentMemoryResponse"
    ]:
        import capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.get_agent_memory

        output, http_response = (
            capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.get_agent_memory.get_agent_memory(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetAgentMemory")
    )
    input_: capo_bedrock_agent_runtime.types.get_agent_memory_request.GetAgentMemoryRequest = {
        "agent_id": agent_id,
        "agent_alias_id": agent_alias_id,
        "memory_type": memory_type,
        "memory_id": memory_id,
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_items is not None:
        input_["max_items"] = max_items

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output