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Stop rationing frontier models

Same budget.
More agent.

Get more work from the same model spend.
Vachi distills each request so your costs don't compound.

Get startedSee it in action

Only pay when you save · Swap base-URL · BYO key.

Token distillation

Fewer tokens.
Same work.

Vachi weighs what each token contributes, then sends a leaner request.
Same model, same response, fewer input tokens.

Raw request

100%

With prompt caching

~50%

With token distillation

~25%

Prompt Caching
Mechanism
Cachesstatic payloads
Quality
Baselinequality
Latency
Baselinelatency
Savings
Baselinesavings
Token Distillation
Mechanism
Distillshigh-value tokens
Quality
No degradationin early testing
Latency
Fastersmaller payload
Savings
~2×prompt caching
Model Routing
Mechanism
Routesto weaker models
Quality
Quality dropswhen misrouted
Latency
Slowerrouter overhead
Savings
~1.25×prompt caching

Works with your stack

Frontier models on your favorite tool.

Run the best of Anthropic, OpenAI, and Google in the IDE or agent you already love.

Integration guides

Models

  • Claude Opus 4.8all Anthropic
  • GPT 5.5all OpenAI
  • Gemini 3.1 Proall Google

Tools

  • Coding agentsClaude Code, Codex, Cursor
  • AI assistantsOpenClaw, Hermes
  • Custom clientsScripts, LangFlow, LangChain
one base URL

# Point any client at Vachi

baseURL = "https://api.anthropic.com"

baseURL = "https://gateway.vachiai.com"

Built for

More work per dollar.

Coding agents

Rationing Opus inside the team?

More work from the same key.

Agents in production

Is AI in your critical path?

Lower bill for the same answer.

Session replay

Same outcome. Very different bills.

One Claude Code session, three setups. Same code shipped.

claude-code · session

Token burn

Raw0K
Prompt caching0K
Vachi
0K

Dollar cost

Raw$0.00
Prompt caching$0.00
Vachi
$0.00
Turn 1 · Build a backend API0:00 / 0:12

Security

Deploy inside your own cloud.

Run Vachi as a gateway in your own VPC. Your traffic and your API keys never leave your network. We retain nothing. We never train on your data.

  • Runs in your VPC, on your hardware.
  • BYO provider key. Vachi never sees it.
  • Zero data retention. No training on your traffic.
Talk through a production rollout
vachi · in your VPC

# Pull and run inside your own cloud

$ docker run -d -p 4000:4000 \

-e PROVIDER_KEY=$YOUR_KEY \

ghcr.io/vachiai/gateway:latest

# Your traffic, your keys, your network

$ curl http://localhost:4000/v1/health

ok · retention=0 · training=off

Get started

Try it in three steps.

Step 01

Bring your own key

Sign up. Add your provider keys.

Step 02

Create your Vachi key

Generate a key in your dashboard.

Step 03

Point your tool at Vachi

Change one base URL. Nothing else.

You only pay when we save you money. No flat fee, no minimum.

Pricing details

Interested in exploring if it'll
work for your workloads?

Let's do a POC to find out.

Schedule a call
1.9× leaner