Introducing KairosRoute: One API for Every AI Model

Today we're launching KairosRoute: a single OpenAI-compatible API endpoint that routes every request to the cheapest model that still meets your quality bar. 45+ models. 10 providers. Two lines of code to migrate. In production, customers are seeing 50–85% cost reductions on the same workloads with no measurable drop in output quality.

But the router is the wedge, not the destination. The real product is everything around the router: the classifier that decides which model to call, the observability that tells you why, the A/B pipeline that catches silent quality drift, and the cost analytics that turn cheaper inference into a durable margin. If you care about running agents profitably at scale, the router is how you cut the bill; the analytics stack is how you keep it down.

Why we built this

The cost gap between AI models is absurd. The cheapest model on the market costs $0.05 per million input tokens. The most expensive costs $25 per million output tokens. That's a 500x spread — and most applications send every single request to the same top-shelf model regardless of how hard the request actually is.

We noticed this pattern at the bottom of every AI team's P&L. Eight-figure ARR startups burning two-thirds of their gross margin on OpenAI, Anthropic, and Google bills. Agent builders whose token bills scale 100x faster than their user base. Indie hackers who had to shut down side projects because one viral weekend doubled the OpenAI invoice.

The fix, technically, is obvious: classify each request by difficulty and route it to the cheapest model that can still handle it. The reason no one does this is that building the classifier, the router, the fallback logic, the cost dashboard, and the drift detection is a six-month project that distracts from whatever your actual company does. So people pay the bill and move on.

That's the problem KairosRoute solves. We've spent the last year building the thing you would have built yourself, only better.

What you get today

A drop-in replacement for the OpenAI SDK

If you're using the OpenAI Python or TypeScript SDK, migration takes 90 seconds. Change the base URL, swap the API key, you're done. We're wire-compatible with /v1/chat/completions including streaming, function calls, JSON mode, vision, and tool use.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.kairosroute.com/v1",
    api_key="kr-...",
)

response = client.chat.completions.create(
    model="auto",  # ← this is the only line that matters
    messages=[{"role": "user", "content": "Classify this email..."}],
)

The magic is model="auto". That tells kr-auto, our routing engine, to analyze the request and pick the optimal model. You can also pin to a specific model (model="claude-opus-4.7") and we'll still give you observability, retries, and transparent pricing.

The router actually knows what your request is

kr-auto looks at the prompt, infers what the request is really asking for, and picks the cheapest model that meets your quality bar. Extraction tasks land on small, fast models. Multi-step reasoning gets enough horsepower to not embarrass you. The 10–15% of requests that genuinely need a frontier model still go to a frontier model — that's the whole point.

How it knows is our problem, not yours. Read What kr-auto Does for the marketing version, or run a prompt through the playground and watch it pick. If the routing decision is wrong, the feedback loop catches it and adjusts on its own — without you opening a ticket.

The part nobody else has: routing analytics

You can cut costs by switching to a cheaper model. You can only keep them cut by seeing what happened after you did.

Every KairosRoute customer gets a dashboard with:

• Per-request routing decisions, with the reasoning visible ("routed to Haiku 4.5 because task classified as summarization, quality floor 0.85, cost delta -$0.0042").
• Cost-per-task-type, so you can see where your spend actually goes.
• Quality regression alerts when a downstream signal (latency, length, tool-call failure) shifts after a routing change.
• A/B comparison between any two models on your actual traffic.
• Per-agent and per-workspace cost allocation for teams running multiple products.

Automatic failover

OpenAI had an hour-long outage in March. Anthropic had one in February. When your single provider goes down, your product goes down with it. KairosRoute routes around dead providers automatically. A 5xx from one provider fails over to an equivalent-quality model from another in under 200ms, transparently, with no code change on your side.

Transparent pricing — no markup on tokens

This bears repeating: we do not mark up provider tokens. When KairosRoute routes your request to Claude Sonnet, we pay Anthropic the same price you would have. You pay us a small gateway fee against your monthly token allotment, and that's it. Full per-request pricing is visible in the dashboard.

The pricing page has the full matrix: free tier (100K tokens/mo + a $5 managed-key trial credit, no card required), Team ($99/mo, 10M tokens), Business ($499/mo, 50M tokens with signal-loop tuning and SSO), and Enterprise (custom).

Who this is for

We built KairosRoute for three overlapping audiences:

• AI-native startups whose gross margin is dominated by model API costs.
• Platform / infra engineers at larger companies who need an AI gateway with governance, cost allocation, and multi-provider failover.
• Agent builders whose per-request cost compounds across loop iterations and who need to see it.

If you're just calling GPT-4 once per page load for a single product, you don't need this yet. If you're running agents, generating embeddings at scale, running a support bot, or shipping any AI feature with more than a handful of calls per user, the math is overwhelming.

What's next

We ship weekly. On the roadmap:

• Batch-mode routing (50% cheaper for non-latency-sensitive jobs).
• Agent-level routing — we already classify per-request; we want to route per-agent-step based on the whole agent's loop history.
• BYOK with passthrough metering (you pay providers directly; we handle the router and dashboard).
• An agent performance index, published monthly, that tracks provider quality, latency, and price movement.

If you want a walkthrough, the quickstart takes about 3 minutes. If you want to see what you'd save, the savings calculator asks 5 questions and gives you a number. And if you're an enterprise evaluating vendors, email us at support@kairosroute.com — we'll show up.

We're excited to be live. Let's route smarter.