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October 7, 2023 04:53
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An example that uses Amazon Bedrock to generate data and transform the response into JSON
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| import { | |
| BedrockRuntimeClient, | |
| InvokeModelCommand | |
| } from "@aws-sdk/client-bedrock-runtime"; | |
| const client = new BedrockRuntimeClient({ region: "us-east-1" }); | |
| const textDecoder = new TextDecoder("utf-8"); | |
| const command = new InvokeModelCommand({ | |
| modelId: "ai21.j2-mid-v1", | |
| contentType: "application/json", | |
| accept: "*/*", | |
| body: JSON.stringify({ | |
| prompt: "Hello world", | |
| maxTokens: 200, | |
| temperature: 0.7, | |
| topP: 1, | |
| stopSequences: [], | |
| countPenalty: { | |
| scale: 0 | |
| }, | |
| presencePenalty: { | |
| scale: 0 | |
| }, | |
| frequencyPenalty: { | |
| scale: 0 | |
| } | |
| }) | |
| }); | |
| client | |
| .send(command) | |
| .then((data) => JSON.parse(textDecoder.decode(data.body))) | |
| .then((data) => console.log(JSON.stringify(data, null, 4))) |
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