AI LLM Gateway -- Included in Every Tier

One Endpoint for Every LLM.
Up to 70% Cache Hits.

Stop managing multiple SDKs. Route OpenAI, Anthropic Claude, and AWS Bedrock through a single internal endpoint. Built-in response caching returns repeat prompts at 0ms and zero API cost -- exact-match in every tier, semantic (embedding-similarity) caching on the AI Gateway tier. Prompt audit logs for compliance.

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3
LLM Providers
50-70%
Cache Hit Rate
$0
Extra Cost
0ms
Cached Response
Unified LLM API

One API for Every LLM Provider

Use the OpenAI SDK. Just change the model name. Zero code changes beyond base_url.

# One SDK for everything -- just change the model name from openai import OpenAI client = OpenAI(base_url="http://ai.gw.internal:8080/v1") # OpenAI client.chat.completions.create(model="gpt-4o", ...) # Anthropic Claude (auto-translated) client.chat.completions.create(model="claude-sonnet-4", ...) # AWS Bedrock (SigV4 auto-signed) client.chat.completions.create(model="bedrock/anthropic.claude-3-haiku", ...)
OpenAI
gpt-4o, gpt-4-turbo, gpt-3.5-turbo -- all GPT models pass through natively
Anthropic
claude-sonnet-4, claude-opus-4, claude-haiku -- auto-translated from OpenAI format
AWS Bedrock
bedrock/... prefix -- SigV4 signed automatically from instance role. No keys in code.
Platform Capabilities

Built for AI-First Teams

Everything you need to operate LLM infrastructure at scale -- without adding operational complexity. The gateway is an elastic fleet, not a single box, so it grows with your traffic and shrinks when it idles.

⚡

Response Caching

Identical prompts return cached responses at 0ms latency with zero API cost. Configurable TTL per model. The AI Gateway tier adds semantic caching with embedding similarity for near-duplicate prompts.

Network
📈

Cost Attribution

Every request tagged by source IP, team, or service name. CloudWatch dashboard shows per-team spend broken down by model and provider. Export to JSON for finance and chargeback workflows.

Network
📋

Prompt Audit Logging

Every API call logged with model, token count, estimated cost, and source IP. Prompt content is NEVER logged -- only metadata. Compliance-ready audit trail stored in your own CloudWatch log group.

Network
☁

Bedrock Support

AWS Bedrock models accessed with automatic SigV4 signing -- no credential management in application code. The gateway uses the instance IAM role. Just use the bedrock/... model name prefix.

Network
🏛

Model Routing

Route different models to different providers by name. Define fallback rules and cost caps per route. All configured via the dashboard or Terraform -- no application changes required.

Network
🚀

Elastic Gateway Fleet

The proxy runs as a fleet that scales both ways: out and in across AZs via per-AZ Auto Scaling Groups, and up and down by resizing instance types. Warm pools make scale-out fast. A single proxy VM or fixed HA pair caps at one box's NIC and cores; horizontal scale-out is the only way past that ceiling for bursty LLM traffic.

Network
🔗

No Vendor Lock-in

Switch from OpenAI to Claude to Bedrock by changing one model string in your configuration. The gateway handles all protocol translation transparently. Your application code stays identical.

Network
Privacy Architecture

Your Prompts Never Leave Your VPC

The gateway is an EC2 appliance running in your own AWS account. Cloud Spectra has zero visibility into your prompt content -- by design.

  • ✓ The gateway runs as an EC2 instance inside your VPC, in your AWS account. No shared infrastructure.
  • ✓ Prompts flow directly from your application to the gateway, then from the gateway to the LLM provider -- entirely within your network boundary.
  • ✓ Cloud Spectra never sees prompt content, response content, or API keys. We have no data plane access to your VPC.
  • ✓ Audit logs -- model name, token count, latency, source IP -- are stored in your own CloudWatch log group. Only you have access.
  • ✓ The control plane (Cloud Spectra dashboard) only reads configuration metadata: model routes, cache TTLs, cost caps. No prompt data, ever.
Request Flow
Your App
--->
Cloud Spectra Gateway
in YOUR VPC
--->
OpenAI / Claude
/ Bedrock
Gateway only sees:
- model name (e.g. gpt-4o)
- token count (from provider response)
- request latency
- source IP within your VPC
✓ No prompt content ever stored Audit logs contain only metadata -- never the text of your prompts or model responses -- a design that supports SOC 2 and HIPAA audit-logging controls. Cloud Spectra LLC does not currently hold a SOC 2 report and does not sign BAAs today; certification is on our roadmap. ✗ Cloud Spectra control plane has zero data plane access
Pricing

Included in Every Tier

The Cloud Spectra AI LLM proxy is not an add-on. Basic caching ships in the Gateway tier at no extra charge. Upgrade to the AI Gateway tier for semantic caching powered by embedding similarity. And because the gateway fleet right-sizes itself -- scaling down off-peak and riding spot capacity -- you pay only for the throughput you actually use, which is what makes running it yourself cheaper than both an always-on fixed appliance and a managed per-request meter.

Network

LLM Proxy + Basic Cache

OpenAI / Claude / Bedrock routing Exact-match response caching Configurable TTL per model Prompt audit log (metadata only) Cost attribution by source IP
Security

LLM Proxy + IDS/IPS

All Gateway features Network IDS/IPS (ET Open ruleset) Egress firewall for LLM domains Prompt traffic isolation Compliance-ready logging
AI Gateway

Semantic Cache + Advanced

All Security features Semantic caching (embedding similarity) Per-team spend dashboards Model-level cost caps + alerts Terraform provider support
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Cut repeat LLM API spend by up to 70%.
Deploy in 10 minutes.

One CloudFormation stack. No agents. No sidecars. Works with the OpenAI SDK you already use.

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