Invoquez Anthropic Claude sur Amazon Bedrock en utilisant la Converse de Bedrock API

Les exemples de code suivants montrent comment envoyer un message texte à Anthropic Claude à l'aide de la Converse de Bedrock. API

.NET

AWS SDK for .NET

Note

Il y en a plus à ce sujet GitHub. Consultez l'exemple complet et apprenez à configurer et à exécuter dans AWS Référentiel d'exemples de code.

Envoyez un texto à Anthropic Claude en utilisant la Converse de Bedrock. API

// Use the Converse API to send a text message to Anthropic Claude.

using System;
using System.Collections.Generic;
using Amazon;
using Amazon.BedrockRuntime;
using Amazon.BedrockRuntime.Model;

// Create a Bedrock Runtime client in the AWS Region you want to use.
var client = new AmazonBedrockRuntimeClient(RegionEndpoint.USEast1);

// Set the model ID, e.g., Claude 3 Haiku.
var modelId = "anthropic.claude-3-haiku-20240307-v1:0";

// Define the user message.
var userMessage = "Describe the purpose of a 'hello world' program in one line.";

// Create a request with the model ID, the user message, and an inference configuration.
var request = new ConverseRequest
{
    ModelId = modelId,
    Messages = new List<Message>
    {
        new Message
        {
            Role = ConversationRole.User,
            Content = new List<ContentBlock> { new ContentBlock { Text = userMessage } }
        }
    },
    InferenceConfig = new InferenceConfiguration()
    {
        MaxTokens = 512,
        Temperature = 0.5F,
        TopP = 0.9F
    }
};

try
{
    // Send the request to the Bedrock Runtime and wait for the result.
    var response = await client.ConverseAsync(request);

    // Extract and print the response text.
    string responseText = response?.Output?.Message?.Content?[0]?.Text ?? "";
    Console.WriteLine(responseText);
}
catch (AmazonBedrockRuntimeException e)
{
    Console.WriteLine($"ERROR: Can't invoke '{modelId}'. Reason: {e.Message}");
    throw;
}

• Pour API plus de détails, voir Converse dans AWS SDK for .NET APIRéférence.

Java

SDKpour Java 2.x

Note

Il y en a plus à ce sujet GitHub. Consultez l'exemple complet et apprenez à configurer et à exécuter dans AWS Référentiel d'exemples de code.

Envoyez un texto à Anthropic Claude en utilisant la Converse de Bedrock. API

// Use the Converse API to send a text message to Anthropic Claude.

import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.core.exception.SdkClientException;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient;
import software.amazon.awssdk.services.bedrockruntime.model.ContentBlock;
import software.amazon.awssdk.services.bedrockruntime.model.ConversationRole;
import software.amazon.awssdk.services.bedrockruntime.model.ConverseResponse;
import software.amazon.awssdk.services.bedrockruntime.model.Message;

public class Converse {

    public static String converse() {

        // Create a Bedrock Runtime client in the AWS Region you want to use.
        // Replace the DefaultCredentialsProvider with your preferred credentials provider.
        var client = BedrockRuntimeClient.builder()
                .credentialsProvider(DefaultCredentialsProvider.create())
                .region(Region.US_EAST_1)
                .build();

        // Set the model ID, e.g., Claude 3 Haiku.
        var modelId = "anthropic.claude-3-haiku-20240307-v1:0";

        // Create the input text and embed it in a message object with the user role.
        var inputText = "Describe the purpose of a 'hello world' program in one line.";
        var message = Message.builder()
                .content(ContentBlock.fromText(inputText))
                .role(ConversationRole.USER)
                .build();


        try {
            // Send the message with a basic inference configuration.
            ConverseResponse response = client.converse(request -> request
                    .modelId(modelId)
                    .messages(message)
                    .inferenceConfig(config -> config
                            .maxTokens(512)
                            .temperature(0.5F)
                            .topP(0.9F)));

            // Retrieve the generated text from Bedrock's response object.
            var responseText = response.output().message().content().get(0).text();
            System.out.println(responseText);

            return responseText;

        } catch (SdkClientException e) {
            System.err.printf("ERROR: Can't invoke '%s'. Reason: %s", modelId, e.getMessage());
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        converse();
    }
}

Envoyez un SMS à Anthropic Claude en utilisant Converse de Bedrock API avec le client Java asynchrone.

// Use the Converse API to send a text message to Anthropic Claude
// with the async Java client.

import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeAsyncClient;
import software.amazon.awssdk.services.bedrockruntime.model.ContentBlock;
import software.amazon.awssdk.services.bedrockruntime.model.ConversationRole;
import software.amazon.awssdk.services.bedrockruntime.model.Message;

import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutionException;

public class ConverseAsync {

    public static String converseAsync() {

        // Create a Bedrock Runtime client in the AWS Region you want to use.
        // Replace the DefaultCredentialsProvider with your preferred credentials provider.
        var client = BedrockRuntimeAsyncClient.builder()
                .credentialsProvider(DefaultCredentialsProvider.create())
                .region(Region.US_EAST_1)
                .build();

        // Set the model ID, e.g., Claude 3 Haiku.
        var modelId = "anthropic.claude-3-haiku-20240307-v1:0";

        // Create the input text and embed it in a message object with the user role.
        var inputText = "Describe the purpose of a 'hello world' program in one line.";
        var message = Message.builder()
                .content(ContentBlock.fromText(inputText))
                .role(ConversationRole.USER)
                .build();

        // Send the message with a basic inference configuration.
        var request = client.converse(params -> params
                .modelId(modelId)
                .messages(message)
                .inferenceConfig(config -> config
                        .maxTokens(512)
                        .temperature(0.5F)
                        .topP(0.9F))
        );

        // Prepare a future object to handle the asynchronous response.
        CompletableFuture<String> future = new CompletableFuture<>();

        // Handle the response or error using the future object.
        request.whenComplete((response, error) -> {
            if (error == null) {
                // Extract the generated text from Bedrock's response object.
                String responseText = response.output().message().content().get(0).text();
                future.complete(responseText);
            } else {
                future.completeExceptionally(error);
            }
        });

        try {
            // Wait for the future object to complete and retrieve the generated text.
            String responseText = future.get();
            System.out.println(responseText);

            return responseText;

        } catch (ExecutionException | InterruptedException e) {
            System.err.printf("Can't invoke '%s': %s", modelId, e.getMessage());
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        converseAsync();
    }
}

• Pour API plus de détails, voir Converse dans AWS SDK for Java 2.x APIRéférence.

JavaScript

SDKpour JavaScript (v3)

Note

Il y en a plus à ce sujet GitHub. Consultez l'exemple complet et apprenez à configurer et à exécuter dans AWS Référentiel d'exemples de code.

Envoyez un texto à Anthropic Claude en utilisant la Converse de Bedrock. API

// Use the Conversation API to send a text message to Anthropic Claude.

import {
  BedrockRuntimeClient,
  ConverseCommand,
} from "@aws-sdk/client-bedrock-runtime";

// Create a Bedrock Runtime client in the AWS Region you want to use.
const client = new BedrockRuntimeClient({ region: "us-east-1" });

// Set the model ID, e.g., Claude 3 Haiku.
const modelId = "anthropic.claude-3-haiku-20240307-v1:0";

// Start a conversation with the user message.
const userMessage =
  "Describe the purpose of a 'hello world' program in one line.";
const conversation = [
  {
    role: "user",
    content: [{ text: userMessage }],
  },
];

// Create a command with the model ID, the message, and a basic configuration.
const command = new ConverseCommand({
  modelId,
  messages: conversation,
  inferenceConfig: { maxTokens: 512, temperature: 0.5, topP: 0.9 },
});

try {
  // Send the command to the model and wait for the response
  const response = await client.send(command);

  // Extract and print the response text.
  const responseText = response.output.message.content[0].text;
  console.log(responseText);
} catch (err) {
  console.log(`ERROR: Can't invoke '${modelId}'. Reason: ${err}`);
  process.exit(1);
}

• Pour API plus de détails, voir Converse dans AWS SDK for JavaScript APIRéférence.

Python

SDKpour Python (Boto3)

Note

Il y en a plus à ce sujet GitHub. Consultez l'exemple complet et apprenez à configurer et à exécuter dans AWS Référentiel d'exemples de code.

Envoyez un texto à Anthropic Claude en utilisant la Converse de Bedrock. API

# Use the Conversation API to send a text message to Anthropic Claude.

import boto3
from botocore.exceptions import ClientError

# Create a Bedrock Runtime client in the AWS Region you want to use.
client = boto3.client("bedrock-runtime", region_name="us-east-1")

# Set the model ID, e.g., Claude 3 Haiku.
model_id = "anthropic.claude-3-haiku-20240307-v1:0"

# Start a conversation with the user message.
user_message = "Describe the purpose of a 'hello world' program in one line."
conversation = [
    {
        "role": "user",
        "content": [{"text": user_message}],
    }
]

try:
    # Send the message to the model, using a basic inference configuration.
    response = client.converse(
        modelId=model_id,
        messages=conversation,
        inferenceConfig={"maxTokens": 512, "temperature": 0.5, "topP": 0.9},
    )

    # Extract and print the response text.
    response_text = response["output"]["message"]["content"][0]["text"]
    print(response_text)

except (ClientError, Exception) as e:
    print(f"ERROR: Can't invoke '{model_id}'. Reason: {e}")
    exit(1)

• Pour API plus de détails, voir Converse dans AWS SDKpour Python (Boto3) Reference. API

Rust

SDKpour Rust

Note

Il y en a plus à ce sujet GitHub. Consultez l'exemple complet et apprenez à configurer et à exécuter dans AWS Référentiel d'exemples de code.

Envoyez un texto à Anthropic Claude en utilisant la Converse de Bedrock. API

#[tokio::main]
async fn main() -> Result<(), BedrockConverseError> {
    tracing_subscriber::fmt::init();
    let sdk_config = aws_config::defaults(BehaviorVersion::latest())
        .region(CLAUDE_REGION)
        .load()
        .await;
    let client = Client::new(&sdk_config);

    let response = client
        .converse()
        .model_id(MODEL_ID)
        .messages(
            Message::builder()
                .role(ConversationRole::User)
                .content(ContentBlock::Text(USER_MESSAGE.to_string()))
                .build()
                .map_err(|_| "failed to build message")?,
        )
        .send()
        .await;

    match response {
        Ok(output) => {
            let text = get_converse_output_text(output)?;
            println!("{}", text);
            Ok(())
        }
        Err(e) => Err(e
            .as_service_error()
            .map(BedrockConverseError::from)
            .unwrap_or_else(|| BedrockConverseError("Unknown service error".into()))),
    }
}

fn get_converse_output_text(output: ConverseOutput) -> Result<String, BedrockConverseError> {
    let text = output
        .output()
        .ok_or("no output")?
        .as_message()
        .map_err(|_| "output not a message")?
        .content()
        .first()
        .ok_or("no content in message")?
        .as_text()
        .map_err(|_| "content is not text")?
        .to_string();
    Ok(text)
}

Utilisez des instructions, l'utilitaire d'erreur et des constantes.

use aws_config::BehaviorVersion;
use aws_sdk_bedrockruntime::{
    operation::converse::{ConverseError, ConverseOutput},
    types::{ContentBlock, ConversationRole, Message},
    Client,
};

// Set the model ID, e.g., Claude 3 Haiku.
const MODEL_ID: &str = "anthropic.claude-3-haiku-20240307-v1:0";
const CLAUDE_REGION: &str = "us-east-1";

// Start a conversation with the user message.
const USER_MESSAGE: &str = "Describe the purpose of a 'hello world' program in one line.";

#[derive(Debug)]
struct BedrockConverseError(String);
impl std::fmt::Display for BedrockConverseError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        write!(f, "Can't invoke '{}'. Reason: {}", MODEL_ID, self.0)
    }
}
impl std::error::Error for BedrockConverseError {}
impl From<&str> for BedrockConverseError {
    fn from(value: &str) -> Self {
        BedrockConverseError(value.to_string())
    }
}
impl From<&ConverseError> for BedrockConverseError {
    fn from(value: &ConverseError) -> Self {
        BedrockConverseError::from(match value {
            ConverseError::ModelTimeoutException(_) => "Model took too long",
            ConverseError::ModelNotReadyException(_) => "Model is not ready",
            _ => "Unknown",
        })
    }
}

• Pour API plus de détails, voir Converse dans AWS SDKpour API référence à Rust.

Pour une liste complète des AWS SDKguides du développeur et exemples de code, voirL'utilisation de ce service avec un AWS SDK. Cette rubrique inclut également des informations sur la mise en route et des détails sur SDK les versions précédentes.