응답 스트림과 함께 모델 호출 API를 사용하여 Amazon Bedrock에서 Amazon Titan Text 모델을 호출합니다.

Invoke Model API를 사용하여 문자 메시지를 보내고 응답 스트림을 인쇄할 수 있습니다.

# Use the native inference API to send a text message to Amazon Titan Text
# and print the response stream.

import boto3
import json

# Create a Bedrock Runtime client in the AWS Region of your choice.
client = boto3.client("bedrock-runtime", region_name="us-east-1")

# Set the model ID, e.g., Titan Text Premier.
model_id = "amazon.titan-text-premier-v1:0"

# Define the prompt for the model.
prompt = "Describe the purpose of a 'hello world' program in one line."

# Format the request payload using the model's native structure.
native_request = {
    "inputText": prompt,
    "textGenerationConfig": {
        "maxTokenCount": 512,
        "temperature": 0.5,
    },
}

# Convert the native request to JSON.
request = json.dumps(native_request)

# Invoke the model with the request.
streaming_response = client.invoke_model_with_response_stream(
    modelId=model_id, body=request
)

# Extract and print the response text in real-time.
for event in streaming_response["body"]:
    chunk = json.loads(event["chunk"]["bytes"])
    if "outputText" in chunk:
        print(chunk["outputText"], end="")