InvokeAgent与 AWS SDK 或 CLI 配合使用 - Amazon Bedrock

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InvokeAgent与 AWS SDK 或 CLI 配合使用

以下代码示例演示如何使用 InvokeAgent

JavaScript
适用于 JavaScript (v3) 的软件开发工具包
注意

还有更多相关信息 GitHub。在 AWS 代码示例存储库中查找完整实例,了解如何进行设置和运行。

// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. // SPDX-License-Identifier: Apache-2.0 import { BedrockAgentRuntimeClient, InvokeAgentCommand, } from "@aws-sdk/client-bedrock-agent-runtime"; /** * @typedef {Object} ResponseBody * @property {string} completion */ /** * Invokes a Bedrock agent to run an inference using the input * provided in the request body. * * @param {string} prompt - The prompt that you want the Agent to complete. * @param {string} sessionId - An arbitrary identifier for the session. */ export const invokeBedrockAgent = async (prompt, sessionId) => { const client = new BedrockAgentRuntimeClient({ region: "us-east-1" }); // const client = new BedrockAgentRuntimeClient({ // region: "us-east-1", // credentials: { // accessKeyId: "accessKeyId", // permission to invoke agent // secretAccessKey: "accessKeySecret", // }, // }); const agentId = "AJBHXXILZN"; const agentAliasId = "AVKP1ITZAA"; const command = new InvokeAgentCommand({ agentId, agentAliasId, sessionId, inputText: prompt, }); try { let completion = ""; const response = await client.send(command); if (response.completion === undefined) { throw new Error("Completion is undefined"); } for await (let chunkEvent of response.completion) { const chunk = chunkEvent.chunk; console.log(chunk); const decodedResponse = new TextDecoder("utf-8").decode(chunk.bytes); completion += decodedResponse; } return { sessionId: sessionId, completion }; } catch (err) { console.error(err); } }; // Call function if run directly import { fileURLToPath } from "url"; if (process.argv[1] === fileURLToPath(import.meta.url)) { const result = await invokeBedrockAgent("I need help.", "123"); console.log(result); }
  • 有关 API 的详细信息,请参阅 AWS SDK for JavaScript API 参考InvokeAgent中的。

Python
SDK for Python (Boto3)
注意

还有更多相关信息 GitHub。在 AWS 代码示例存储库中查找完整实例,了解如何进行设置和运行。

调用代理。

def invoke_agent(self, agent_id, agent_alias_id, session_id, prompt): """ Sends a prompt for the agent to process and respond to. :param agent_id: The unique identifier of the agent to use. :param agent_alias_id: The alias of the agent to use. :param session_id: The unique identifier of the session. Use the same value across requests to continue the same conversation. :param prompt: The prompt that you want Claude to complete. :return: Inference response from the model. """ try: # Note: The execution time depends on the foundation model, complexity of the agent, # and the length of the prompt. In some cases, it can take up to a minute or more to # generate a response. response = self.agents_runtime_client.invoke_agent( agentId=agent_id, agentAliasId=agent_alias_id, sessionId=session_id, inputText=prompt, ) completion = "" for event in response.get("completion"): chunk = event["chunk"] completion = completion + chunk["bytes"].decode() except ClientError as e: logger.error(f"Couldn't invoke agent. {e}") raise return completion
  • 有关 API 的详细信息,请参阅适用InvokeAgentPython 的AWS SDK (Boto3) API 参考

有关 S AWS DK 开发者指南和代码示例的完整列表,请参阅将此服务与 AWS SDK 配合使用。本主题还包括有关入门的信息以及有关先前的 SDK 版本的详细信息。