Every request.
Every receipt.
Route across 45+ models. Get a receipt explaining every decision. Let the router learn from your own traffic. Ship AI agents you can defend in the room.
No signup. Watch kr-auto pick a model on your own prompt.
Quality-gated routing.
Every request is read for what it actually needs. We pick the cheapest model that clears the bar — never a downgrade to save a penny.
See the routerA receipt for every call.
Structured record of what the router saw, who it picked, what it cost. Streamed to the OTel stack you already run.
See the receiptsA router that gets smarter.
A daily learning pass tunes the router on your own traffic. Eval-gated before promotion. One flip to roll back.
See the loopSwap the base URL.
Keep the SDK.
# One line change. Every model.
from openai import OpenAI
client = OpenAI(
base_url="https://api.kairosroute.com/v1",
api_key="kr-...",
)
resp = client.chat.completions.create(
model="auto", # route me
messages=[{"role": "user", "content": "..."}],
extra_body={"kr": {"return_receipt": True}},
)The answer is always
one click away.
Savings, model mix, and live routing in one view. Drill down to any single decision. Export to your own stack.
- gpt-4o-mini42%
- claude-haiku26%
- llama-3.3-70b18%
- gemini-flash10%
- others4%
Sample data. Workspace and filter names blurred.
Three people, one receipt.
Different jobs, different questions, same infrastructure answers them all. Pick the door that fits.
The agent builder
Shipping LangChain, CrewAI, or Vercel AI agents to real users.
A PM asks why the agent said that. The agent crashed on malformed JSON at 2am. A provider silently swapped model revisions on Friday. Your tests passed.
A receipt for every call means you can answer every question — which model, why, actual cost, actual latency. Replay any request by trace_id. Fallback chain is on the record, not in a log you can’t search.
The lead on the bill
Somebody’s name is on the provider invoice. Sometimes yours.
The bill doubled two months in a row and nobody can tell you which workflow did it. Your cheapest engineers are the ones most likely to default to gpt-4.1 for everything.
The router picks the cheapest model that clears the quality bar per task. Spend broken out by tenant, workflow, and category. Budget caps that enforce, not warn. Finance gets a ledger, not a mystery.
The platform owner
Ten agent teams, one infrastructure contract.
Every team rolled their own LLM layer. Every incident is a new forensics project. You’ve said “let’s consolidate” in three quarterly reviews in a row.
One gateway. One receipt format. OTLP export into the observability stack you already run. SSO, per-workspace budgets, region pinning, one-click version rollback. Signed off by the teams who build on it.
You own the agent.
We have the answers.
The questions will come from PM, Finance, Security, your CEO. KairosRoute has the receipt ready before anyone asks.
PM asks why the agent answered that way.
Pull the receipt. Model, fallback, prompt variant, every decision on the record.
Finance asks why last month cost $40k.
Spend by tenant, workflow, or model. Budget caps that enforce, not warn.
Security asks where that request went.
Privacy filters short-circuit routing. Filtered candidates stay in the receipt with the reason.
Your eval drops 8%. Was it you or them?
Versioned classifier, model scores, and prompt variants. A public eval suite tells you which changed.
Models, 10 providers
Routing overhead
Typical cost reduction
To integrate
Ship agents you can defend
Two lines to integrate. A receipt for every call. No credit card to start.
Get your API key