VantEdge
Platform/01 · Access

One governed door
to every model.

Route, rate-limit, and observe every model call — hosted or self-hosted — behind a single policy-controlled endpoint. Your applications stay provider-agnostic; you stay in control.

Gateway · Request trace
#7f3a
342 ms
POST/v1/chat/completions
x-vantedge-task: sql-gen
Policy
rate limit · 4 / 60 min
max_tokens → clamped to 4096
temperature → 0.0 (task-locked)
Route
Tier 0
AWS Bedrock · Claude 3.7 Sonnet
chosen342 ms
Tier 1 · 
OpenAI · gpt-4-turbo
ready
Tier 2 · 
self-hosted · llama-3.3-70b · sglang
ready
2001,247 tokens · $0.0086
logged
01The problem

Model sprawl, zero control

Teams wire directly into a dozen provider SDKs. There's no central policy, no failover, no spend visibility — and switching models means rewriting code. Governance becomes impossible exactly when it matters most.

02Capabilities

What this layer gives you.

Any provider, one API

OpenAI-compatible, AWS Bedrock, and Hugging Face today — plus your own self-hosted models on GPU. Callers never change when you switch.

Failover chains

Ordered provider tiers with health-based eviction and in-tier load balancing. A provider degrades; traffic reroutes automatically.

Policy & parameter governance

Per-parameter constraints (permissive or strict), enforced limits and renames, plus protocol translation between Chat Completions and the Responses API.

Full request logging

Every call is logged with token usage — for cost attribution, audit, and live observability.

03How it works
  1. 1Register providers & chainsDeclare providers and priority tiers; the platform renders them to your gateway via GitOps.
  2. 2Route by taskMap each task — orchestration, SQL-gen, chat — to a provider or chain with a simple header.
  3. 3Observe & governWatch spend and health centrally, and enforce parameter policy across every team.
Gateway · Providers
3 registeredGitOps
bedrockaws bedrock
up
model: us.anthropic.claude-opus-4-6-v1
/bedrock·us-east-1·bedrock-aws-creds
huggingfaceopenai-compatible
up
model: Qwen/Qwen3.5-27B:novita
/huggingface·router.huggingface.co·huggingface-api-key
gcp-cloudrun-rtxself-hosted · sglang
up
model: Qwen3.5-27B · sglang
/gcp-qwen35-27b·cloud run · L4 GPU·gcp-cloudrun-rtx-api-key
declared as YAML · applied by GitOps

Provider-agnostic by default

Swap models without touching a line of application code.

04Where it sits

One integrated stack, GPU to Agent. This layer, in context.

00 · COMPUTEGPU Fleet01 · ACCESSAI Gateway02 · COMPUTEInference & Training Manager03 · KNOWLEDGEContext Enginedet · verified04 · TRUSTDeterministic Execution05 · BUILDAgent Builder
ACCESS
Providers
OpenAI-compatible · AWS Bedrock · Hugging Face · self-hosted (SGLang)
Data plane
agentgateway (Gateway API)
Routing
task-based routing + priority failover chains
Credentials
K8s secret refs · encrypted at rest
1endpoint, every model·autofailover·100%calls logged
05The rest of the stack