stdapi.ai

OpenAI & Anthropic Compatible API Gateway for AWS Bedrock and AI Services

Run your favorite OpenAI and Anthropic-compatible applications on AWS Bedrock. Access 80+ models including Claude, Kimi K2, MiniMax M2.5, Qwen3 with enterprise privacy, compliance controls, and pay-per-use AWS pricing.

14-day free trial on AWS Marketplace · Free for local development

Start 14-Day Free Trial · Try Locally with Docker

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⚡ Try It Locally with Docker

Run stdapi.ai locally with the free community image. Requires AWS credentials configured (run aws sso login first).

docker run --rm -p 8000:8000 \
  -v ~/.aws:/home/nonroot/.aws:ro \
  -e AWS_BEDROCK_REGIONS=us-east-1,us-west-2 \
  -e ENABLE_DOCS=true \
  ghcr.io/stdapi-ai/stdapi.ai-community:latest

Podman on Fedora/RHEL (SELinux): Add --userns=keep-id and use :ro,z instead of :ro

Then make your first API call:

OpenAI SDK:

from openai import OpenAI

client = OpenAI(
    api_key="not-needed-locally",
    base_url="http://localhost:8000/v1"
)

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

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

Anthropic SDK:

from anthropic import Anthropic

client = Anthropic(
    api_key="not-needed-locally",
    base_url="http://localhost:8000/anthropic"
)

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

print(message.content[0].text)

Local development guide →

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🚀 Production Deployment

Deploy to AWS in minutes with Terraform. The AWS Marketplace subscription includes a 14-day free trial.

module "stdapi_ai" {
  source  = "stdapi-ai/stdapi-ai/aws"
  version = "~> 1.0"
}

That's it. You get a production-grade ECS Fargate deployment with HTTPS, WAF, auto-scaling, and monitoring.

Full deployment guide → · Advanced deployment →

Prefer a hands-off setup? A managed deployment service is available.

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🎯 Why stdapi.ai?

• 🔌 Drop-in replacement — Change only the base URL. Works with LangChain, Continue.dev, Open WebUI, n8n, Claude Code, Aider, and 1000+ tools.
• 🔒 Data stays in your AWS account — All inference runs in your account. Data never shared with model providers or used for training. Configure allowed regions for GDPR, HIPAA, FedRAMP.
• 🌍 Multiply quota across regions — Each AWS region has independent quota. 3 regions = 3× tokens per minute. Automatic routing and failover—no client changes.
• 💰 Pay only what you use — AWS Bedrock rates, no markup, no subscriptions or monthly minimums.
• ⚡ Advanced Bedrock features — Reasoning modes (Claude 4.6+, Nova 2), prompt caching, guardrails, service tiers, inference profiles, prompt routers—all through standard OpenAI and Anthropic API parameters.
• 🧠 80+ models — Claude, Kimi K2, MiniMax M2.5, Qwen3, GLM 5, Nova 2, Llama 4, Stability AI, and more. Switch instantly—no vendor lock-in.
• 🎨 Complete multi-modal API — Chat, embeddings, image generation/editing/variations, audio speech/transcription/translation. Amazon Polly, Transcribe, Translate unified under OpenAI-compatible endpoints.
• 📊 Full observability — OpenTelemetry integration, request/response logging, Swagger and ReDoc API documentation.

See all features →

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💼 Use Cases

Category	What You Can Build	Tools	Guide
💬 Chat Interfaces	Private ChatGPT alternative, team chat, knowledge base with RAG	Open WebUI, LibreChat	Guide →
💻 Coding Assistants	AI pair programming, code completion, codebase chat	Continue.dev, Cline, Cursor, Claude Code, Aider	Guide →
🔄 Workflow Automation	AI-powered ticket routing, content creation, data processing	n8n, Make, Zapier	Guide →
🤖 Chatbots	Slack/Discord/Teams bots, documentation assistants	Slack Bot, Botpress
🧠 Autonomous Agents	Personal AI assistants, research agents, multi-agent systems, code agents	OpenClaw, LangGraph, CrewAI, AutoGPT

All use cases and integration guides →

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🛒 AWS Marketplace — Commercial Edition

The commercial license via AWS Marketplace is for production, internal tools, and proprietary applications:

• ✅ 14-day free trial — test in your environment risk-free
• ✅ Commercial license — no AGPL obligations, keep your code private
• ✅ Hardened containers — security-optimized with regular updates
• ✅ Terraform module — production-ready infrastructure in minutes
• ✅ Streamlined AWS billing — consolidated with your existing AWS costs

Start 14-Day Free Trial →

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🛠️ Development from Source

For contributors working on stdapi.ai itself:

Prerequisites

• Python 3.14+
• uv package manager
• AWS credentials configured

Setup

git clone https://github.com/stdapi-ai/stdapi.ai.git
cd stdapi.ai
uv sync --frozen --extra uvicorn

aws sso login --profile your-profile-name

export AWS_BEDROCK_REGIONS=us-east-1
export ENABLE_DOCS=true

uv run uvicorn stdapi.main:app --host 0.0.0.0 --port 8000

Development Guidelines

• Follow existing code style and conventions
• Add tests for new features
• Update documentation for user-facing changes
• Ensure all tests pass before submitting PR

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📜 License

Dual-licensed:

• AGPL-3.0-or-later — Free for open-source projects that share alike
• Commercial License — AWS Marketplace, for proprietary applications (14-day free trial)

Learn more about licensing →

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🤝 Contributing

We welcome contributions! Whether it's bug reports, new features, documentation improvements, or ideas — please feel free to open issues or submit pull requests.

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💬 Support

• Issues: GitHub Issue Tracker
• Documentation: stdapi.ai
• Sponsor: GitHub Sponsors — Priority support, feature prioritization, and influence on the roadmap. View tiers →

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Ready to run 80+ AI models securely on AWS?

Start 14-Day Free Trial · Try Locally with Docker