Built for teams who take cost seriously.
Six optimization layers, all running in parallel, all measurable. Nothing changes in your application code.
Intelligent prompt compression
Agentic workflows produce large tool outputs — shell output, test logs, file diffs. Our compression pipeline strips the noise before those tokens reach the upstream API. Your code and structured data are always preserved exactly as-is.
Terminal output
Cleans up shell output automatically — escape sequences, color codes, and repetitive lines removed. The meaningful content stays.
Test results
Condenses test suite output to what matters. Passing tests are summarized. Failures are kept in full.
Code diffs
Compresses diff context without losing changed lines. Models see what changed — not pages of surrounding boilerplate.
Overflow handling
When output is still too large, the proxy preserves the beginning and end — where the signal is — and notes what was trimmed.
Semantic cache
The proxy compares each incoming prompt against stored responses. When a request is similar enough to something already answered, the cached response is returned instantly — no upstream call, no cost, no latency.
Every team's cache is fully isolated. Similarity thresholds and cache lifetime are configurable per team and tune automatically over time.
Smart model routing
Not every request needs an expensive model. Simple, short requests route to cheaper alternatives automatically. Complex requests — long context, multi-turn, code-heavy — stay on whatever model your client asked for.
Short + simple
Quick, single-turn requests with no complexity signals get routed down automatically.
Long or complex
Multi-turn conversations, large context, or code-heavy requests stay on the premium model.
Under budget pressure
As a team approaches their spend limit, routing activates more aggressively to protect the budget.
Continuous optimization
The proxy gets better at saving money the longer it runs. It observes your team's usage patterns, measures what's working, and adjusts its approach automatically — without any manual configuration.
Learns per team
Optimization settings are independent per team. A team with heavy caching workloads gets different settings than one doing mostly unique requests.
Watches quality
The proxy monitors response quality signals. If it detects that optimization is affecting output quality, it backs off automatically to protect the user experience.
No manual tuning
You don't touch any configuration. The system improves on its own schedule. You see the results in the dashboard — lower costs, stable quality.
Budget enforcement
Set monthly or daily spend limits per team. The proxy enforces them with a graduated response — not a hard wall that arrives without warning.
Normal operation
Proxy runs at standard settings. Every request is logged and counted toward the team's limit.
Degraded mode
Compression tightens, routing activates more aggressively, and a warning header is added to responses.
Hard stop
Requests are blocked before any upstream call is made. A clear error is returned. No surprise invoice.
Runs anywhere Docker runs.
Self-hosted means your prompts never leave your infrastructure.
Docker Compose
Proxy, database, and dashboard in one file. Up in under a minute. Recommended for most teams.
docker-compose up -dKubernetes
Helm chart available. Drop-in replacement for any existing LLM gateway.
helm install llm-proxy ./chartBare metal / VM
Lightweight service stack. A single box handles most organizations comfortably.
See deployment docs