For Agents
Drop one line in front of your model calls. Concisly trims every prompt before it ships — same output, fewer tokens.
Latency, retries, rate limits. The call was the unit of cost.
Agents loop. Every loop re-sends the same bloated context. The token is the unit of cost now — and most of it is waste.
The problem
Independent audits put 40–60% of every token budget down to waste — bloated context the model never needed. At scale, you're paying for it on every call.
¹ Field audits of production LLM applications, 2025. ² Enterprise LLM spend, 2025.
That's fluff your agents re-send and re-pay for on every call in the loop.
How it works
Route your model traffic through Concisly like any gateway. It reads the prompt, trims it, and forwards the lean version.
Swap your base URL or wrap your client.
Each prompt is trimmed once and cached by hash.
Tokens in, tokens out, dollars saved — logged per call.
Cost at scale
The savings are tiny per call and enormous per fleet.
Honest math: figures assume ~58 input tokens saved on a typical bloated system prompt at current list prices; savings are input-token only. A bigger prompt saves more, a lean one saves less. Dollar figures scale linearly with call volume — $6,264/yr = 58 tokens × 100,000 calls/day × 30 days × $3/1M.