SaveT

Save tokens | AI cost control | Multi-provider | Context and output budgets

SaveT (Save Tokens) is an AI economy control layer. It measures, limits, routes, and reduces provider cost for AI requests — before provider billing — by optimizing oversized context, enforcing output budgets, and recording where tokens and money are spent.

Learn more at savet.io

The Problem We Solve

AI applications often send oversized context (conversation history, tool output, RAG) to providers, produce unpredictable response length, and bill through scattered SDK integrations. Token spend grows faster than product and finance teams can see. SaveT addresses the need to run AI spend as an operating system — with measurable savings and hard limits before the provider invoice arrives.

How it works?

Measure — every request passes through the SaveT gateway; input tokens before and after optimization, output budget, model, provider, project, and API key are recorded.
Decide — SaveT shortens overloaded context (profiles: smooth, medium, hard, aggressive), applies context windows, output reservations, rate limits, and endpoint rules.
Route — traffic goes to OpenAI-compatible, Anthropic, Gemini, OpenRouter, local backend, or custom provider configurations.
Report — the tenant dashboard shows token savings, output exposure, billing exports, and audit trails per API key.
Integration is usually limited to pointing your base URL to https://app.savet.io/v1/ — without rebuilding application logic.

Benefits for AI Operators

Lower context cost

Shorten conversation history and tool-heavy context before provider billing, with saved input tokens recorded.

Request-level economics

Full ledger: model, provider, project, latency, status, input/output tokens, and billable savings.

Control before spend

Context windows, output caps, request rate, payload size, provider allowlists, and tenant/key status checks.

Single control point

Multi-provider gateway instead of scattered SDK calls — consistent cost policy across the organization.

Benefits for Finance and Platform Teams

SaveT is not just prompt compression — it is enterprise AI economy control. Billing is based on tokens saved before provider billing; the management panel shows accrued charges in monthly cycles.

Per API key accountability

Assign budget to product, environment, customer, or workload — without waiting for the model provider invoice.

Provable savings

Compare estimated input before SaveT with upstream tokens sent and saved input per traffic stream.

Governance and audit

Billing exports, audit logs, provider metadata — for finance, product, and compliance reporting.

Data security

Encryption in transit and at rest; provider API keys protected with your private secret. SaveT does not train models on customer data.