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.