AWS Bedrock

Connect to AWS Bedrock using IAM roles or access keys, select a foundation model, and validate cost and latency on a representative dataset before production. Use tagging and CloudWatch metrics for deep visibility.

Bedrock supports multiple providers and models across regions. Adopt least-privilege IAM policies, prefer role-based auth (IRSA/EC2/ECS roles), and restrict network paths. Track version usage to plan controlled upgrades.

Setup

1. 1

   Choose a model/region Pick the foundation model and region closest to users while meeting compliance.

2. 2

   Configure IAM Create least-privilege policies and use roles over long-lived access keys.

3. 3

   Enable observability Emit request metrics and tags for project, environment, and feature attribution.

4. 4

   Validate and roll out Compare against baseline for quality/cost, then roll out with monitors.

import boto3
from evaligo.integrations import BedrockIntegration

session = boto3.Session()
br_client = session.client('bedrock-runtime', region_name='us-east-1')

integration = BedrockIntegration(client=br_client, model_id='anthropic.claude-3-sonnet')

client = integration.create_client(temperature=0.3, max_tokens=1500)
print('Bedrock client ready:', bool(client))