Cosavu← Products/ContextAPI
Every token is a cost.
Cut the ones
that don't matter.
ContextAPI sits between your app and any LLM. It compiles your prompt through the STAN-1-Mini RL engine and returns a leaner package — same intent, smaller bill.
Live demo
Paste a bloated prompt. Get it back optimised.
Try one of these bloated prompts
awaiting prompt
The problem
Token bloat is
invisible overhead
on every call.
Most prompts sent to production LLMs contain 30–60% unnecessary content — filler phrases, redundant context, passive voice. You pay for every token whether it helps the model or not.
How it works
One round trip.
Four stages.
Every prompt passes through the same deterministic pipeline — parse, analyse, optimise, govern — before it reaches your LLM.
01 — Parse
Every prompt is split into typed blocks — instructions, context, examples, constraints — by a rule-based lexer with heuristic fallback detection.
The intelligence behind every call
STAN-1-Mini —
trained RL, not heuristics.
STAN-1-Mini is a production-trained reinforcement learning policy. It reads every incoming prompt, extracts structural signals, and decides how aggressively to compress — in under 5 ms on CPU.
Static rules treat every prompt the same. STAN adapts — light touch on concise prompts, aggressive on verbose ones. Falls back to calibrated defaults without interrupting the pipeline.
Compression target
10–90% per prompt, dynamically set by RL policy
Messiness score
0–1 structural noise detection before optimisation
Priority signal
Routes calls to cosavu-small, medium, or large tier
Inference time
Under 5ms · CPU only · no GPU required
Capabilities
What ContextAPI does
Cuts tokens, not meaning
Filler words, passive voice, and redundant context are removed with surgical precision. Your intent arrives intact — your bill doesn't.
Works with any model
Drop ContextAPI in front of OpenAI, Anthropic, Google, or your own deployment. One endpoint, every provider.
Governance built in
PII scrubbing, token budget caps, and injection-vector sanitisation on every call — not an optional add-on.
Adapts to complexity
Light touch on clean prompts. Aggressive compression on messy ones. The STAN RL policy decides — not a static rule.
Get started
Start cutting costs with ContextAPI.
Get an API key and start optimising in minutes. Drop in front of any LLM — no infrastructure to manage.