Self-hosted · Enterprise-grade · Your infra, your data

Cut LLM costs by 30–60%
without touching your app.

A drop-in proxy that sits between your AI tools and the upstream APIs. Costs drop automatically. Your team notices nothing changed — except the bill.

47%avg token reduction per request
~0mslatency overhead on cache hits
10×cost reduction on routed requests
3 minto instrument your first team

Three steps. Zero rewrites.

Compatible with Claude Code, Cursor, Cline, and any OpenAI-compatible client. Point your tools at the proxy — that's it.

1

Deploy the proxy

Runs on your infrastructure via Docker Compose. Connects to your existing OpenAI or Anthropic key. Nothing leaves your environment.

2

Redirect your tools

Set ANTHROPIC_BASE_URL or OPENAI_BASE_URL to the proxy address. Every LLM client works as before.

3

Watch costs drop

Optimizations activate automatically. Savings appear in the dashboard within the first few calls — no configuration required.

# Start everything
docker-compose up -d

# Route your tools through the proxy
export ANTHROPIC_BASE_URL=http://proxy:8080
export ANTHROPIC_API_KEY=your-proxy-key

# Use Claude Code as normal
# — costs drop automatically
claude

Everything optimized, automatically.

Six layers of cost reduction, all running in parallel, all measurable in real time. Per team. No manual tuning.

◈

Semantic cache

Similar requests return cached results instantly — near-zero cost, near-zero latency. Each team's cache is fully isolated.

~$0 per repeated prompt
⊘

Prompt compression

Removes redundant content from long tool outputs before they reach the upstream API. Code is always preserved intact.

40–60% fewer tokens on large payloads
⇄

Smart model routing

Simple requests route to cheaper models automatically. Complex, multi-turn requests stay on the model your client asked for.

Up to 10× cheaper on routed requests
⊡

Budget enforcement

Set monthly or daily spend limits per team. Optimizations tighten as limits approach. Hard stop at 100%. No surprise invoices.

Hard limits that actually hold
◎

Continuous optimization

The proxy learns your team's usage patterns over time and adjusts its settings automatically. Performance improves without any manual intervention.

Self-improving, per team
◉

Spend visibility

Real-time dashboard showing spend per user, per team, and per model. See exactly where your AI budget is going — and where it's being saved.

Every dollar, not just proxied traffic
Full feature breakdown →

One proxy, every major provider.

AnthropicClaude 3/4 family · /v1/messages
OpenAIGPT-4o family · /v1/chat/completions
OllamaLocal models · /v1/ollama/...
GitHub CopilotEnterprise seat tracking

Ready to stop guessing at your AI bill?

Takes about 10 minutes to instrument your first team. First savings show up in the dashboard immediately.