AWS Bedrock for Enterprise AI: Architecture & Integration

import json
import boto3
from botocore.exceptions import ClientError

def invoke_claude_via_bedrock(prompt: str, guardrail_id: str, guardrail_version: str = "1") -> str:
  """
  Invokes Anthropic Claude 3.5 Sonnet on AWS Bedrock with enforced Guardrails.
  """
  session = boto3.Session(region_name="us-east-1")
  bedrock_runtime = session.client(service_name="bedrock-runtime")

  model_id = "anthropic.claude-3-5-sonnet-20241022-v2:0"
  
  payload = {
      "anthropic_version": "bedrock-2023-05-31",
      "max_tokens": 2048,
      "temperature": 0.2,
      "messages": [
          {
              "role": "user",
              "content": [{"type": "text", "text": prompt}]
          }
      ]
  }

  try:
      response = bedrock_runtime.invoke_model(
          modelId=model_id,
          contentType="application/json",
          accept="application/json",
          body=json.dumps(payload),
          guardrailIdentifier=guardrail_id,
          guardrailVersion=guardrail_version,
          trace="ENABLED"
      )
      
      response_body = json.loads(response.get("body").read())
      content_text = response_body["content"][0]["text"]
      return content_text

  except ClientError as err:
      print(f"Bedrock Invocation Error: {err.response['Error']['Message']}")
      raise err

if __name__ == "__main__":
  test_prompt = "Summarize the architectural compliance requirements for enterprise HIPAA cloud storage."
  # Replace with valid AWS Bedrock Guardrail ID
  result = invoke_claude_via_bedrock(test_prompt, guardrail_id="gr-esaholic-prod-01")
  print("Bedrock Response:", result[:300])