Use CreateAgent com um AWS SDK - AWS SDKExemplos de código

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Use CreateAgent com um AWS SDK

Os exemplos de código a seguir mostram como usar o CreateAgent.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação no contexto no seguinte exemplo de código:

JavaScript
SDKpara JavaScript (v3)
nota

Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.

Crie um agente do .

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); }
  • Para API obter detalhes, consulte CreateAgentem AWS SDK for JavaScript APIReferência.

Python
SDKpara Python (Boto3)
nota

Tem mais sobre GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.

Crie um agente do .

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"]
  • Para API obter detalhes, consulte a CreateAgentReferência AWS SDK do Python (Boto3). API