Contoh Amazon Bedrock menggunakan SDK for JavaScript (v3)

import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  ListFoundationModelsCommand,
} from "@aws-sdk/client-bedrock";

const REGION = "us-east-1";
const client = new BedrockClient({ region: REGION });

export const main = async () => {
  const command = new ListFoundationModelsCommand({});

  const response = await client.send(command);
  const models = response.modelSummaries;

  console.log("Listing the available Bedrock foundation models:");

  for (const model of models) {
    console.log("=".repeat(42));
    console.log(` Model: ${model.modelId}`);
    console.log("-".repeat(42));
    console.log(` Name: ${model.modelName}`);
    console.log(` Provider: ${model.providerName}`);
    console.log(` Model ARN: ${model.modelArn}`);
    console.log(` Input modalities: ${model.inputModalities}`);
    console.log(` Output modalities: ${model.outputModalities}`);
    console.log(` Supported customizations: ${model.customizationsSupported}`);
    console.log(` Supported inference types: ${model.inferenceTypesSupported}`);
    console.log(` Lifecycle status: ${model.modelLifecycle.status}`);
    console.log(`${"=".repeat(42)}\n`);
  }

  const active = models.filter(
    (m) => m.modelLifecycle.status === "ACTIVE",
  ).length;
  const legacy = models.filter(
    (m) => m.modelLifecycle.status === "LEGACY",
  ).length;

  console.log(
    `There are ${active} active and ${legacy} legacy foundation models in ${REGION}.`,
  );

  return response;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  await main();
}

Dapatkan detail tentang model pondasi.

import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  GetFoundationModelCommand,
} from "@aws-sdk/client-bedrock";

/**
 * Get details about an Amazon Bedrock foundation model.
 *
 * @return {FoundationModelDetails} - The list of available bedrock foundation models.
 */
export const getFoundationModel = async () => {
  const client = new BedrockClient();

  const command = new GetFoundationModelCommand({
    modelIdentifier: "amazon.titan-embed-text-v1",
  });

  const response = await client.send(command);

  return response.modelDetails;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const model = await getFoundationModel();
  console.log(model);
}

Buat daftar model pondasi yang tersedia.

import { fileURLToPath } from "node:url";

import {
  BedrockClient,
  ListFoundationModelsCommand,
} from "@aws-sdk/client-bedrock";

/**
 * List the available Amazon Bedrock foundation models.
 *
 * @return {FoundationModelSummary[]} - The list of available bedrock foundation models.
 */
export const listFoundationModels = async () => {
  const client = new BedrockClient();

  const input = {
    // byProvider: 'STRING_VALUE',
    // byCustomizationType: 'FINE_TUNING' || 'CONTINUED_PRE_TRAINING',
    // byOutputModality: 'TEXT' || 'IMAGE' || 'EMBEDDING',
    // byInferenceType: 'ON_DEMAND' || 'PROVISIONED',
  };

  const command = new ListFoundationModelsCommand(input);

  const response = await client.send(command);

  return response.modelSummaries;
};

// Invoke main function if this file was run directly.
if (process.argv[1] === fileURLToPath(import.meta.url)) {
  const models = await listFoundationModels();
  console.log(models);
}