stdapi.ai - AI Gateway Deployment Service for Amazon Bedrock

Deploying a production-grade AI gateway on AWS involves infrastructure decisions, security hardening, region and compliance choices, and application integration work. This professional service takes that work on by deploying stdapi.ai - the OpenAI, Anthropic and Cohere compatible AI gateway for Amazon Bedrock - directly into your AWS account, configured to your requirements.

This service relates to the stdapi.ai AWS Marketplace product and uses AWS services including Amazon ECS Fargate, Application Load Balancer, Amazon VPC, Amazon S3, AWS KMS, Amazon CloudWatch, AWS WAF, Amazon Cognito, and Amazon Bedrock.

WHAT IS INCLUDED

Deployment covers the complete stdapi.ai stack on AWS using Terraform or OpenTofu. Your environment will include ECS Fargate with auto-scaling, an HTTPS-enabled ALB, a VPC with security groups and KMS encryption; WAF and CloudWatch alarms are optional. You leave with a production endpoint that answers the OpenAI, Anthropic and Cohere APIs, so your existing tools - Open WebUI, n8n, Claude Code, LangChain, and hundreds more - reach 100+ models on Amazon Bedrock by pointing at your new endpoint.

OPTIONAL FEATURES WE SET UP FOR YOU

Several capabilities need a resource in your account before they work, and we create and wire them for you: vector stores for retrieval on Amazon S3 Vectors, or an Amazon Bedrock knowledge base you already run addressed as one; asynchronous batch inference at Bedrock's batch price; Amazon Cognito authentication, so each caller reaches the API with their own token; and per-user cost attribution, which runs model calls under a tagged role session so AWS reports each end user's spend in Cost Explorer.

SERVICE OPTIONS

Guided Deployment - Our team works alongside yours to configure and deploy stdapi.ai using your infrastructure requirements. Ideal for teams who want to own the process while benefiting from expert guidance. Covers architecture review, configuration, deployment, and post-launch validation.

Fully Managed Deployment - We handle the entire deployment from initial assessment through production launch. Includes requirements gathering, multi-region configuration, regional compliance alignment, identity and cost-attribution setup, application integration (such as connecting Open WebUI for a private ChatGPT alternative, or a voice front end on LiveKit Agents or Pipecat), integration testing, and handover documentation.

COMPLIANCE AND SECURITY

The gateway runs in your own AWS account, so no third party sits between your users and your models. We configure region restrictions to meet your compliance posture - EU-only, US-only, or global. AWS compliance certifications apply to the AWS services and regions you choose; they are not inherited by stdapi.ai or by your applications. Security hardening includes non-root container execution, SSRF protection, credential management via Systems Manager or Amazon Cognito, and CloudWatch audit logging.

POST-DEPLOYMENT

You receive a fully operational AI gateway, Terraform state files you control, documentation tailored to your setup, and direct access to our support team. Your team is able to manage, scale, and extend the deployment independently.

INFRASTRUCTURE COSTS

This service provisions the AWS resources listed above in your account, and Amazon Bedrock model usage is billed directly to your account. These AWS infrastructure costs are separate from and in addition to the AWS Marketplace transaction for this professional service. You remain in full control and ownership of all provisioned resources.

THE PRODUCT THIS SERVICE DEPLOYS

The gateway itself is a separate AWS Marketplace container product with a 14-day free trial, and carries 0% markup on model usage: Amazon Bedrock is billed to you directly by AWS at AWS rates. Private offers cover custom terms, duration, and committed usage, procured through your existing AWS relationship with no new vendor onboarding; the consulting days for this service are agreed in the same offer.

WHAT YOU ARE NOT LOCKED INTO

The endpoint we deploy speaks the standard OpenAI, Anthropic and Cohere APIs, the Terraform code and state are yours, and the same gateway exists as an AGPL-3.0 open-source edition. Leaving is the same base-URL and model-name change as arriving. stdapi.ai is AWS-only by design: it does not route to non-AWS providers, and it does not enforce per-key spend limits at request time.

EVIDENCE AND SCOPING

stdapi.ai is AWS Qualified Software. 6,000+ automated tests at 95%+ branch coverage run against real AWS services and against the real OpenAI, Anthropic and Cohere endpoints, 20 third-party clients are driven end to end against a live gateway, 80+ API operations are exposed as MCP tools, and measured gateway overhead is under 1 ms. To scope an engagement, contact us at https://stdapi.ai/contact/  with your company, AWS account ID, use case, and desired start date - AWS requires these details to create the private offer.