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Deploy stdapi.ai on AWS

Get a production-grade OpenAI-compatible AI gateway running on AWS in 5 minutes. Terraform handles everything — ECS Fargate, HTTPS, WAF, auto-scaling, and monitoring.

14-Day Free Trial

The AWS Marketplace subscription includes a 14-day free trial. Test the full production stack in your environment risk-free.

Prefer a hands-off setup?

A managed deployment service is available to deploy stdapi.ai into your AWS account.

Quick Start

Prerequisites

  1. Subscribe to stdapi.ai on AWS Marketplace (14-day free trial included)
  2. Install Terraform or OpenTofu >= 1.5
  3. Configure AWS credentials

Deploy

git clone https://github.com/stdapi-ai/samples.git
cd samples/getting_started_production/terraform
terraform init
terraform apply

That's it. In ~5 minutes you have:

  • Production-grade ECS Fargate deployment with HTTPS
  • WAF protection with rate limiting
  • CloudWatch alarms and monitoring
  • Auto-scaling and API key authentication
  • Interactive API documentation at /docs
  • IP-restricted access (your IP only)
%%{init: {'flowchart': {'htmlLabels': true}} }%%
flowchart LR
  openai["<img src='../styles/logo_openai.svg' style='height:64px;width:auto;vertical-align:middle;' /> OpenAI SDK"] -->|HTTPS| alb["<img src='../styles/logo_amazon_load_balancing.svg' style='height:64px;width:auto;vertical-align:middle;' /> ALB + WAF"]
  anthropic["<img src='../styles/logo_anthropic.svg' style='height:64px;width:auto;vertical-align:middle;' /> Anthropic SDK"] -->|HTTPS| alb
  alb --> ecs["<img src='../styles/logo.svg' style='height:64px;width:auto;vertical-align:middle;' /> stdapi.ai<br/>ECS Fargate"]
  ecs --> bedrock["<img src='../styles/logo_amazon_bedrock.svg' style='height:64px;width:auto;vertical-align:middle;' /> AWS Bedrock"]
  ecs --> polly["<img src='../styles/logo_amazon_polly.svg' style='height:64px;width:auto;vertical-align:middle;' /> AWS Polly"]
  ecs --> transcribe["<img src='../styles/logo_amazon_transcribe.svg' style='height:64px;width:auto;vertical-align:middle;' /> AWS Transcribe"]
  ecs --> s3["<img src='../styles/logo_amazon_s3.svg' style='height:64px;width:auto;vertical-align:middle;' /> AWS S3"]
  ecs --> cloudwatch["<img src='../styles/logo_amazon_cloudwatch.svg' style='height:64px;width:auto;vertical-align:middle;' /> CloudWatch"]

Get Your Credentials

terraform output -raw api_key
terraform output api_endpoint
terraform output docs_url

Ready-to-use Terraform example on GitHub

Single region — getting_started_production

Make Your First API Call

stdapi.ai is compatible with both OpenAI and Anthropic SDKs. If you've used either before, you already know how to use it.

from openai import OpenAI

client = OpenAI(
    api_key="your-api-key-here",           # From terraform output
    base_url="https://your-endpoint/v1"    # From terraform output
)

response = client.chat.completions.create(
    model="anthropic.claude-opus-4-6-v1",
    messages=[{"role": "user", "content": "Hello! Tell me a joke."}]
)

print(response.choices[0].message.content)

from anthropic import Anthropic

client = Anthropic(
    api_key="your-api-key-here",                  # From terraform output
    base_url="https://your-endpoint/anthropic"    # From terraform output
)

message = client.messages.create(
    model="anthropic.claude-opus-4-6-v1",
    messages=[{"role": "user", "content": "Hello! Tell me a joke."}]
)

print(message.content[0].text)

No API key configured? stdapi.ai runs without authentication by default for quick testing. Add api_key_create = true to your Terraform config to enable it.

Available models: All AWS Bedrock models available in your configured regions are automatically discovered and exposed.

Next Steps