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KillToken

The optimization control plane for LLM traffic.

KillToken sits between an application and the customer's chosen AI provider. It measures every request, estimates cost and latency, identifies safe ways to reduce token waste, reuses exact repeated responses when appropriate, and turns AI usage into savings reports teams can explain to finance and leadership.

Measure
Reduce
Reuse
Prove
KillToken Control Plane

Measure, reduce, reuse, and prove AI savings.

KillToken does not replace the model. It gives teams a measurable gateway around the providers they already use.

01

App request

Backend AI traffic routes through KillToken before reaching the selected model provider.

02

Measure

Tokens, provider, model, estimated cost, latency, cache status, and savings signals are recorded.

03

Optimize safely

Measure-only mode reports opportunity first; safe mode applies conservative reductions only when risk is low.

04

Reuse and prove

Exact repeated requests can use cached responses, while dashboards and exports show the savings trail.

BYOK

No provider lock-in

Customers bring and control their own provider credentials. KillToken does not resell AI tokens or mark up provider usage; it controls waste around the AI traffic teams already run.

OpenAI
Anthropic
Gemini
Mistral
Azure OpenAI
AWS Bedrock

Ready Now

Built for measurable AI operations

OpenAI-compatible and Anthropic-compatible wrapper endpoints
Provider credentials for major AI providers and OpenAI-compatible models
Measure-only mode, safe mode, rule-based quality guardrails
Exact response cache with in-memory or Redis-backed storage
Tenant dashboard, charts, filters, request table, and API key management
CSV and JSON exports, ROI report data, pricing profiles, and TypeScript SDK

Honest Beta Limits

KillToken is not an AI model and does not generate answers itself.

Customers still use and pay their own AI providers directly.

Streaming, WebSockets, semantic caching, model routing, and PDF reports are not implemented yet.

Exact caching only helps when it is safe to reuse the exact same response.

Safe optimization is conservative by design and skips high-risk requests.

Measure Before You Optimize

Start in measure-only mode to see usage, cost signals, repeated requests, and potential savings without changing production traffic.

Bring Your Own Provider Keys

Customers keep their OpenAI, Anthropic, Gemini, Mistral, Azure OpenAI, Bedrock, Vertex AI, or OpenAI-compatible provider relationships.

Safe, Conservative Optimization

Safe mode applies conservative prompt optimization only when quality risk is low and skips changes when the request looks sensitive.

Proof Finance Can Understand

Dashboards, CSV and JSON exports, tenant metrics, and ROI report data separate estimated, verified, potential, and cache savings.

Capabilities

What KillToken does

AI request gateway
Measure-only savings reporting
Safe prompt optimization
Exact response cache and idempotency
Tenant-scoped analytics
Provider credential management
CSV and JSON exports
Structured ROI report data
Pricing profiles for provider rates
First-party TypeScript SDK
Audience

Who KillToken is for

SaaS companiesAI app buildersProduct teamsEngineering teamsAgenciesMulti-tenant platforms
KillToken is an AI usage gateway and cost-control layer, not an AI model. Customers choose their model providers, bring their own provider credentials, and pay provider usage directly. Savings may be estimated, potential, verified, or cache-based depending on available provider and pricing data.
Engage with KillToken

Measure your AI waste before you change production traffic.

The recommended first step is measure-only mode: route a small amount of backend AI traffic through KillToken, review the dashboard, then enable safe optimization and exact caching only where it makes sense.