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Start in shadow mode.
Mirror a slice of production traffic to Alphe without changing where your requests actually go. After a week you have a real number: what routing would have cost, against what it did cost. Then you decide.
Tell us where you are
A name and an email are enough to start. If you already know your monthly spend and which models you are pinned to, say that too. It means the first reply is useful instead of a discovery call.
# 1. point a mirror at Alphe. # production traffic is untouched. export ALPHE_MODE=shadow export ALPHE_SAMPLE=0.1 # 2. keep your client exactly as it is. const client = new OpenAI({ baseURL: "https://api.alpheai.com/v1", apiKey: process.env.ALPHE_KEY, }); # 3. read the delta after a week. baseline $38,410 alphe_route $11,523 quality_delta -0.004 would_save $26,887 /mo
What happens next
Four steps, no discovery theatre.
Within a day, from Ankit or Anant. Not a sequence, not a scheduler link. If Alphe
is a bad fit for what you are building, that reply says so.
You get an API key and a shadow configuration. Ten minutes of work on your side,
and nothing about your production request path changes.
We compare Alphe's choice against your current model on every mirrored request:
cost, latency and quality score. You see the same dashboard we do, including the
cases where routing was wrong.
If the delta is not worth it, you have lost a week of mirrored traffic and gained
a real baseline for your inference spend. That is a fine outcome and there is no
contract to exit.