Amazon Bedrock在泰国、马来西亚、新加坡、印度尼西亚和台湾推出Anthropic Claude最新Opus、Sonnet和Haiku模型的全球跨区域推理功能

{
      "Version": "2012-10-17",
      "Statement": [
         {
           "Sid": "GrantGlobalCrisInferenceProfileRegionAccess",
           "Effect": "Allow",
           "Action": "bedrock:InvokeModel",
           "Resource": [
               "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-opus-4-6-v1",
                "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-sonnet-4-5-20250929-v1:0",
                 "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-haiku-4-5-20251001-v1:0"
           ],
           "Condition": {
               "StringEquals": {
                   "aws:RequestedRegion": "ap-southeast-1"
               }
           }
       },
         {
           "Sid": "GrantGlobalCrisInferenceProfileInRegionModelAccess",
           "Effect": "Allow",
           "Action": "bedrock:InvokeModel",
           "Resource": [
               "arn:aws:bedrock:ap-southeast-1::foundation-model/anthropic.claude-opus-4-6-v1",
                "arn:aws:bedrock:ap-southeast-1::foundation-model/anthropic.claude-sonnet-4-5-20250929-v1:0",
                 "arn:aws:bedrock:ap-southeast-1::foundation-model/anthropic.claude-haiku-4-5-20251001-v1:0"
           ],
           "Condition": {
               "StringEquals": {
                   "aws:RequestedRegion": "ap-southeast-1",
                   "bedrock:InferenceProfileArn": [ "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-opus-4-6-v1",                         "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-sonnet-4-5-20250929-v1:0",
                       "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-haiku-4-5-20251001-v1:0"
                 }
           }
       },
         {
           "Sid": "GrantGlobalCrisInferenceProfileGlobalModelAccess",
           "Effect": "Allow",
           "Action": "bedrock:InvokeModel",
           "Resource": [
               "arn:aws:bedrock:::foundation-model/anthropic.claude-opus-4-6-v1",
                "arn:aws:bedrock:::foundation-model/anthropic.claude-sonnet-4-5-20250929-v1:0",
                 "arn:aws:bedrock:::foundation-model/anthropic.claude-haiku-4-5-20251001-v1:0"
           ],
           "Condition": {
               "StringEquals": {
                   "aws:RequestedRegion": "unspecified",
                   "bedrock:InferenceProfileArn": [
                       "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-opus-4-6-v1",
                        "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-sonnet-4-5-20250929-v1:0",
                       "arn:aws:bedrock:ap-southeast-1:<ACCOUNT>:inference-profile/global.anthropic.claude-haiku-4-5-20251001-v1:0"
                       ]
                 }
           }
       }
     ]
}

{
      "Version": "2012-10-17",
      "Statement": [
         {
           "Sid": "DenyAllOutsideApprovedRegions",
           "Effect": "Deny",
           "Action": "*",
           "Resource": "*",
           "Condition": {
               "StringNotEquals": {
                   "aws:RequestedRegion": [
                       "ap-southeast-1",
                       "unspecified"
                   ]
               }
           }
       }
     ]
}

import logging
import os 
import boto3
from botocore.exceptions import ClientError

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Load configuration from environment variables with defaults
REGION = os.getenv( "AWS_REGION", "ap-southeast-1"
) # Singapore or Jakarta (ap-southeast-3)
MODEL_ID = os.getenv("MODEL_ID", "global.anthropic.claude-opus-4-6-v1")
MAX_TOKENS = int(os.getenv("MAX_TOKENS", "8000"))
TEMPERATURE = float(os.getenv("TEMPERATURE", "1"))
THINKING_TYPE = os.getenv("THINKING_TYPE", "adaptive")
EFFORT_LEVEL = os.getenv("EFFORT_LEVEL", "medium")

# Initialize Bedrock Runtime client for your Region
bedrock_runtime = boto3.client(service_name="bedrock-runtime", region_name=REGION)

# Example: Architecture trade-offs analysis
user_query = "Analyze the trade-offs between microservices and monolithic architectures for a mid-size SaaS company."

# Make inference request using Converse API with adaptive thinking
try:
    response = bedrock_runtime.converse(
        modelId=MODEL_ID,
        messages=[{"role": "user", "content": [{"text": user_query}]}],
        inferenceConfig={
            "maxTokens": MAX_TOKENS,
            "temperature": TEMPERATURE
        },
        additionalModelRequestFields={
            "thinking": {"type": THINKING_TYPE},
            "output_config": {"effort": EFFORT_LEVEL},
        },
    )
except ClientError as e:
    logger.error("Failed to invoke model %s: %s", MODEL_ID, e)
    raise

# Extract response content
output_message = response["output"]["message"]
has_thinking = any(block.get("type") == "thinking" for block in output_message["content"])
logger.info("Effort level: %s", EFFORT_LEVEL)
logger.info("Claude decided to think: %s", has_thinking)

for block in output_message["content"]:
    if block.get("type") == "thinking":
        thinking_tokens = len(block["thinking"].split())
        logger.info("[Thinking]: ~%d words", thinking_tokens)
    elif block.get("text"):
        logger.info("[Response]: %s", block["text"])