AWS BedrockRequest AccessLLM

AWS Bedrock

Foundation models as a service on AWS

AWS Bedrock provides access to leading foundation models from AI21, Anthropic, Meta, and others within your AWS environment.

Features

Multiple model providers
Fine-tuning
RAG with Knowledge Bases
Guardrails
Agents

Integration Example

Use AWS Bedrock through Keystore with zero code changes. Keys are resolved from the vault and injected at request time.

aws-bedrock-example.ts
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import Keystore from "@keystore/sdk";

const ks = new Keystore({ agentToken: process.env.KS_TOKEN! });
ks.interceptAll();

// All requests to AWS Bedrock's API are automatically
// intercepted and routed through the Keystore proxy.
// Real credentials are injected server-side.
const res = await fetch("https://api.aws-bedrock.com/v1/...", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ /* your payload */ }),
});
const data = await res.json();
console.log(data);

Use Cases

Enterprise AI on AWS
Multi-model strategies
RAG applications
Compliant AI

Ready to use AWS Bedrock?

Request access and our concierge team will provision credentials for you — usually within 24 hours. No setup on your end.

Request Access