AWS Bedrock Production Guide: Multi-Model Inference, Guardrails API, and Cost-Optimized RAG on AWS

AWS Bedrock provides serverless access to foundation models from Anthropic, Meta, Amazon, and others — without managing GPU infrastructure. For enterprise teams already on AWS, Bedrock offers the fastest path to production AI.

1. Multi-Model Routing on Bedrock

import { BedrockRuntimeClient, InvokeModelCommand } from "@aws-sdk/client-bedrock-runtime";

const bedrock = new BedrockRuntimeClient({ region: "us-east-1" });

async function routeToModel(query: string, complexity: "low" | "high") {
  const modelId = complexity === "low"
    ? "amazon.titan-text-lite-v2"      // $0.15/1M tokens
    : "anthropic.claude-sonnet-4-v2";   // $3.00/1M tokens

  const response = await bedrock.send(new InvokeModelCommand({
    modelId,
    body: JSON.stringify({ prompt: query, max_tokens: 2048 })
  }));

  return JSON.parse(new TextDecoder().decode(response.body));
}

2. Bedrock Guardrails for Content Safety

const guardrailConfig = {
  guardrailId: "prod-content-filter-v1",
  guardrailVersion: "1",
  trace: "enabled"  // Log all guardrail decisions
};

// Guardrails automatically block PII, hate speech, and prompt injections
const safeResponse = await bedrock.send(new InvokeModelCommand({
  modelId: "anthropic.claude-sonnet-4-v2",
  body: JSON.stringify({ prompt: userInput }),
  guardrailIdentifier: guardrailConfig.guardrailId,
  guardrailVersion: guardrailConfig.guardrailVersion
}));

AWS Bedrock combines the serverless convenience of managed infrastructure with the enterprise compliance requirements that regulated industries demand.