Headroom AI Context Compression Gateway by Code Creator provides a private Ubuntu based AI context optimization gateway for developers, AI agents, coding tools, and LLM applications. It includes Headroom, Nginx, public IP onboarding, first boot IP refresh, health checks, helper commands, and examples for OpenAI compatible and Anthropic compatible clients. This product has charges associated with it for the provision and deployment of the application and AMI support.
Headroom AI Context Compression Gateway by Code Creator is a ready to launch AWS Marketplace AMI that provides a private context optimization gateway for AI agents, coding tools, developer workflows, and LLM applications.
The product is designed to help teams reduce context bloat and improve AI workflow efficiency by routing compatible AI client traffic through a Headroom powered gateway. It includes a public IP landing page, Nginx reverse proxy, first boot public IP refresh, health endpoint, examples page, local service checks, runtime helper commands, and simple customer guidance for OpenAI compatible and Anthropic compatible clients.
This AMI is built for first time AWS users and technical teams that want a faster starting point for experimenting with AI context compression and AI agent infrastructure. Customers can launch the instance, open the landing page, review the examples page, and configure their client tools using the generated public IP. Provider API keys are not stored in the AMI by default.
Code Creator adds deployment automation, public IP usability, customer instructions, service management commands, clean AMI preparation, security update handling, and launch support so customers can begin using the application faster than installing and configuring each component manually.
Highlights
Private AI Context Optimization Gateway
Launch a self hosted Headroom powered gateway on your own AWS account to help reduce AI context bloat, optimize LLM workflows, and support OpenAI compatible and Anthropic compatible client traffic.
Built for AI Agents and Developer Workflows
Includes ready to use examples for AI coding tools, agent workflows, Claude Code style usage, OpenAI compatible clients, health checks, stats routes, and customer helper commands for easier operation.
Code Creator Ready to Launch AMI Experience
Preconfigured on Ubuntu 24.04 with Nginx reverse proxy, public IP landing page, first boot IP refresh, examples page, telemetry disabled by default, and no provider API keys stored in the image.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay by the hour based on the EC2 instance size you run this software on. All 15 dimensions bill under the same usage model; they differ only by compute capacity. The t3 options (medium, large, xlarge, 2xlarge) are burstable general-purpose instances. The m6i and m6id options (large through 12xlarge) offer general-purpose compute at set sizes. The c7i options (large through 12xlarge) target compute-focused workloads. Larger instances carry more vCPUs and memory, so your hourly rate scales with the capacity you choose. Pick the size that matches your workload.
Top-of-mind questions for buyers
What does one hourly unit cover, and am I charged when the instance is stopped?
Each unit is one running hour of the EC2 instance size you select. Charges accrue only while the instance runs. A stopped or terminated instance stops software billing, though AWS may still charge for attached storage. Running time drives your software cost.
How do I decide which instance size to run this gateway on?
The gateway compresses tool outputs, logs, database reads, and search results before they reach the model. Higher traffic or larger content batches need more vCPUs and memory, favoring the larger m6i, m6id, or c7i sizes. Lighter, intermittent workloads suit the burstable t3 options.
Does the hourly rate include compute, or is EC2 billed separately?
The rate you see meters the software license per instance-hour. Underlying AWS compute and storage for the EC2 instance bill separately through your AWS account. Both appear on the same AWS invoice but represent distinct charges.
headroom-docs.vercel.app
Helpful?
Vendor refund policy
No contracts. We do not currently support refunds, but you can cancel at any time.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial AWS Marketplace release of Headroom AI Context Compression Gateway by Code Creator on Ubuntu 24.04. This release includes Headroom 0.22.4, Nginx reverse proxy, public IP landing page, examples page, first boot public IP refresh, customer helper commands, health and stats routes, telemetry disabled by default, current security updates applied before AMI capture, and no provider API keys stored in the image.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Free weekly Amazon Bedrock spend reports that attribute cost to the exact caller, IAM user, SSO user, or AgentCore agent, and flag quota headroom before you hit throttling. Deployed via CloudFormation into your own AWS account. Free forever.
GPU-accelerated sub-second live streaming on AWS. The GPU Edition of OvenMediaEngine Enterprise runs on NVIDIA GPU instances and uses hardware NVENC to transcode H.264 and HEVC (H.265), offloading encoding from the CPU so your server can sustain more concurrent renditions at sub-second latency. Ingest with WebRTC/WHIP, SRT, RTMP/Enhanced RTMP, MPEG-2 TS, and RTSP Pull, and deliver through WebRTC, SRT, and Low-Latency HLS, with the web console, advanced security, and high availability built in.
Run DeepSeek and local models in your AWS account. This product has charges associated with it for a GPU backed private AI workspace and seller support.
CognitiveSpark for Marketing is a modular omni-channel engagement offering designed to create more relevant and personalized channel and content for customers (patients/ healthcare professionals/ healthcare organizations). Deloitte's Next Best Engagement is easy to activate, quick to deploy, and can integrate within your existing commercial analytics ecosystem to generate insight and inform strategy across the commercial function. We have robust analytic models to rapidly connect and organize data for maximum insight. Deloitte's AI decision models provide a holistic customer profile: Micro-segmentation - Who is critical to contact? Headroom Analysis - What is upside potential? Channel/Content Effectiveness - How to best reach and what to say? Dynamic Alerts - What is changing in behavior or engagement?
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.