또는 와 CreateAgentAWS SDK 함께 사용 CLI

에이전트를 생성합니다.

import { fileURLToPath } from "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);
}

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"]