AI gateway for builders who read the bill

One unified gateway for the models you already use.

Route requests to GPT, Claude, Gemini, Mistral, Meta, and more through one API. Keep provider choice open, keep integration small, and keep token costs visible.

100+ modelsone catalog

Multi-format APIno SDK swap

Pay per tokenno subscription

Keys + usageproduction control

POST https://kiterouter.com/api/v1/chat/completions

model

openai/gpt-5.5

route.ts

OpenAI SDK

1const client = new OpenAI({) 2  baseURL: 'https://kiterouter.com/api/v1',3  apiKey: process.env.KITEROUTER_API_KEY,4})

OpenAI

Anthropic

Google

Mistral

Popular frontier models, one gateway.

OpenAI

gpt-5.5gpt-5.4

Anthropic

claude-opus-4-7claude-sonnet-4-6

Google

gemini-3.1-progemini-3.1-flash

DeepSeek

deepseek-v3.2deepseek-r1

KiteRouter sits between your app and every model vendor.

Your app keeps the SDK it already trusts. KiteRouter receives OpenAI, Anthropic, or Gemini shaped traffic, checks keys and credits, forwards the request body transparently to the upstream provider, then returns the response without turning integration work into platform work.

gateway

KiteRouter

authcreditsroute

ModelsOpenAI, Anthropic, Google, Mistral, Meta

ControlsAPI keys, credits, usage, status

FormatOpenAI, Anthropic, and Gemini native formats

same body, status-only tracking

Three protocol shapes, one operational surface.

01OpenAI/chat/completions

02Anthropic/messages

03Gemini/models:generateContent

Send requests in OpenAI, Anthropic, or Gemini format. KiteRouter tracks request status only; request bodies pass through transparently to upstream providers.

request

Multi-format ingress

Keep the SDK you already use. Point baseURL at KiteRouter and send the same chat completion payload.

route

Provider and model routing

Route requests in any supported format to OpenAI, Anthropic, Google, Mistral, Meta, and other upstreams.

control

Keys, credits, and budgets

Issue scoped API keys, fund prepaid credits, and track cost without surprise platform subscriptions.

observe

Usage and status visibility

See tokens, spend, models, and status-only request history in analytics — without storing request bodies.

Integrate in minutes

Change the base URL. Keep the rest of your app.

KiteRouter accepts the native format your SDK already sends — OpenAI, Anthropic, or Gemini. That keeps migration small and makes model/provider changes an operations decision, not a rewrite.

app.ts

baseURL swap

1import OpenAI from 'openai'2 3const client = new OpenAI({) 4  baseURL: 'https://kiterouter.com/api/v1',5  apiKey: process.env.KITEROUTER_API_KEY,6})7 8const response = await client.chat.completions.create({) 9  model: 'openai/gpt-5.5',10  messages: [{ role: 'user', content: 'Route this request.' }],11})

Operate

Production signals without enterprise platform ceremony.

See the basics every multi-model app needs before traffic grows: which keys are active, which models spend money, which requests completed or failed, and how many credits remain.

Usage by model

model spend visible

GPT, Claude, Gemini, Mistral

Key controls

scoped key inventory

expiration, spend tracking, revoke flow

Credit balance

prepaid balance

transparent, per token, no subscription

request.completemodel routelatency

key.usagescoped keycost

credit.debitprovider calltokens

route.readyfallback poolhealthy

Privacy posture

We are not interested in your request bodies.

KiteRouter is a routing and billing gateway, not a data-harvesting layer. We keep status, token, cost, latency, key, model, and routing metadata needed to operate the service. Prompt and message bodies pass through to the selected upstream provider (for example: OpenAI, Anthropic, Google, Mistral, Meta, DeepSeek).

No prompt-body logging

We do not store prompts, messages, or request body content in request logs. That reduces database load and reduces sensitive data surface area.

Check upstream provider policies

Your main data-use concern should be the upstream model provider you choose, such as OpenAI, Anthropic, Google, Mistral, Meta, DeepSeek, or other model vendors. Providers have their own retention, abuse-monitoring, and AI-training policies, so review them before sending sensitive traffic.

Storing bodies costs us too

Keeping customer prompt data would mean more database storage, security work, retention tooling, and compliance burden. We do not have a product reason, budget, or appetite to do that.

Positioning

Lighter than full LLMOps. Easier than provider sprawl.

Full LLMOps platforms are broad. Direct providers are fragmented. KiteRouter is the practical middle path for teams that need multi-model access and cost control first.

Decision

Direct providers

KiteRouter

Full LLMOps suite

Integration path

One account and SDK per provider

One base URL, any SDK format

Platform SDK or proxy layer

Cost posture

Provider list price and separate bills

Pay-per-token credits with low gateway pricing

Enterprise platform pricing

Best fit

Single-provider prototypes

Teams needing cheap multi-model access fast

Large orgs needing full governance suites

Ship the first request

One unified gateway for the models you already use.

Popular frontier models, one gateway.

KiteRouter sits between your app and every model vendor.

KiteRouter

Three protocol shapes, one operational surface.

Multi-format ingress

Provider and model routing

Keys, credits, and budgets

Usage and status visibility

Change the base URL. Keep the rest of your app.

Production signals without enterprise platform ceremony.

We are not interested in your request bodies.

No prompt-body logging

Check upstream provider policies

Storing bodies costs us too

Lighter than full LLMOps. Easier than provider sprawl.

Start with one key, one base URL, and every model route open.