D'autres AWS SDK exemples sont disponibles dans le GitHub dépôt AWS Doc SDK Examples
Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.
Invoquez Jurassic-2 de AI21 Labs sur Amazon Bedrock à l'aide de la Converse de Bedrock API
Les exemples de code suivants montrent comment envoyer un message texte à AI21 Labs Jurassic-2 à l'aide de Bedrock's Converse. API
- .NET
-
- AWS SDK for .NET
-
Note
Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS
. Envoyez un message texte à AI21 Labs Jurassic-2 en utilisant Bedrock's Converse. API
// Use the Converse API to send a text message to AI21 Labs Jurassic-2. 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., Jurassic-2 Mid. var modelId = "ai21.j2-mid-v1"; // 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 APIReference.
-
- Java
-
- SDKpour Java 2.x
-
Note
Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS
. Envoyez un message texte à AI21 Labs Jurassic-2 en utilisant Bedrock's Converse. API
// Use the Converse API to send a text message to AI21 Labs Jurassic-2. 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., Jurassic-2 Mid. var modelId = "ai21.j2-mid-v1"; // 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 message texte à AI21 Labs Jurassic-2 en utilisant Converse de Bedrock API avec le client Java asynchrone.
// Use the Converse API to send a text message to AI21 Labs Jurassic-2 // 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., Jurassic-2 Mid. var modelId = "ai21.j2-mid-v1"; // 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 APIReference.
-
- JavaScript
-
- SDKpour JavaScript (v3)
-
Note
Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS
. Envoyez un message texte à AI21 Labs Jurassic-2 en utilisant Bedrock's Converse. API
// Use the Conversation API to send a text message to AI21 Labs Jurassic-2. 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., Jurassic-2 Mid. const modelId = "ai21.j2-mid-v1"; // 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 APIReference.
-
- Python
-
- SDKpour Python (Boto3)
-
Note
Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le référentiel d’exemples de code AWS
. Envoyez un message texte à AI21 Labs Jurassic-2 en utilisant Bedrock's Converse. API
# Use the Conversation API to send a text message to AI21 Labs Jurassic-2. 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., Jurassic-2 Mid. model_id = "ai21.j2-mid-v1" # 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 in AWS SDKfor Python (Boto3) Reference. API
-