an AWS SDKCreateAgent와 함께 사용 - AWS SDK 코드 예제

AWS Doc SDK ExamplesWord AWS SDK 리포지토리에는 더 많은 GitHub 예제가 있습니다.

기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다.

an AWS SDKCreateAgent와 함께 사용

다음 코드 예제는 CreateAgent의 사용 방법을 보여 줍니다.

작업 예제는 대규모 프로그램에서 발췌한 코드이며 컨텍스트에 맞춰 실행해야 합니다. 다음 코드 예제에서는 컨텍스트 내에서 이 작업을 확인할 수 있습니다.

JavaScript
SDK for JavaScript (v3)
참고

더 많은 on GitHub가 있습니다. AWS 코드 예시 리포지토리에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요.

에이전트를 생성합니다.

import { fileURLToPath } from "node:url"; import { checkForPlaceholders } from "../lib/utils.js"; import { BedrockAgentClient, CreateAgentCommand, } from "@aws-sdk/client-bedrock-agent"; /** * Creates an Amazon Bedrock Agent. * * @param {string} agentName - A name for the agent that you create. * @param {string} foundationModel - The foundation model to be used by the agent you create. * @param {string} agentResourceRoleArn - The ARN of the IAM role with permissions required by the agent. * @param {string} [region='us-east-1'] - The AWS region in use. * @returns {Promise<import("@aws-sdk/client-bedrock-agent").Agent>} An object containing details of the created agent. */ export const createAgent = async ( agentName, foundationModel, agentResourceRoleArn, region = "us-east-1", ) => { const client = new BedrockAgentClient({ region }); const command = new CreateAgentCommand({ agentName, foundationModel, agentResourceRoleArn, }); const response = await client.send(command); return response.agent; }; // Invoke main function if this file was run directly. if (process.argv[1] === fileURLToPath(import.meta.url)) { // Replace the placeholders for agentName and accountId, and roleName with a unique name for the new agent, // the id of your AWS account, and the name of an existing execution role that the agent can use inside your account. // For foundationModel, specify the desired model. Ensure to remove the brackets '[]' before adding your data. // A string (max 100 chars) that can include letters, numbers, dashes '-', and underscores '_'. const agentName = "[your-bedrock-agent-name]"; // Your AWS account id. const accountId = "[123456789012]"; // The name of the agent's execution role. It must be prefixed by `AmazonBedrockExecutionRoleForAgents_`. const roleName = "[AmazonBedrockExecutionRoleForAgents_your-role-name]"; // The ARN for the agent's execution role. // Follow the ARN format: 'arn:aws:iam::account-id:role/role-name' const roleArn = `arn:aws:iam::${accountId}:role/${roleName}`; // Specify the model for the agent. Change if a different model is preferred. const foundationModel = "anthropic.claude-v2"; // Check for unresolved placeholders in agentName and roleArn. checkForPlaceholders([agentName, roleArn]); console.log("Creating a new agent..."); const agent = await createAgent(agentName, foundationModel, roleArn); console.log(agent); }
  • API 세부 정보는 CreateAgent AWS SDK for JavaScript 참조의 API를 참조하세요.

Python
Python용 SDK(Boto3)
참고

더 많은 on GitHub가 있습니다. AWS 코드 예시 리포지토리에서 전체 예시를 찾고 설정 및 실행하는 방법을 배워보세요.

에이전트를 생성합니다.

def create_agent(self, agent_name, foundation_model, role_arn, instruction): """ Creates an agent that orchestrates interactions between foundation models, data sources, software applications, user conversations, and APIs to carry out tasks to help customers. :param agent_name: A name for the agent. :param foundation_model: The foundation model to be used for orchestration by the agent. :param role_arn: The ARN of the IAM role with permissions needed by the agent. :param instruction: Instructions that tell the agent what it should do and how it should interact with users. :return: The response from Amazon Bedrock Agents if successful, otherwise raises an exception. """ try: response = self.client.create_agent( agentName=agent_name, foundationModel=foundation_model, agentResourceRoleArn=role_arn, instruction=instruction, ) except ClientError as e: logger.error(f"Error: Couldn't create agent. Here's why: {e}") raise else: return response["agent"]
  • API 세부 정보는 Word for Python(Boto3) CreateAgent 참조의 Word를 참조하세요. AWS SDK API