You send a big pile of text
Every chat and every agent step ships a pile of words to the AI company. They charge by how big the pile is.
The suite just ran.
You pay for every letter. Tokand lowers the bill. Same results.
Add it the way you already ship
Every chat and every agent step ships a pile of words to the AI company. They charge by how big the pile is.
Repeats, clutter, stuff the AI already saw — gone before the meter runs. The useful parts stay.
Your users still get the result. You still use the same AI. The bill just doesn’t include as much trash.
import OpenAI from "openai" const client = new OpenAI({ baseURL: "https://api.tokand.com/v1", apiKey: process.env.TOKAND_KEY, }) // unchanged call site await client.chat.completions.create({ model: "gpt-4.1", messages, })
import { tokand } from "@tokand/sdk" const res = await tokand( { messages, tools }, (req) => provider.complete(req), { apiKey: process.env.TOKAND_KEY } ) // outage or timeout → sender gets the original request
from openai import OpenAI client = OpenAI( base_url="https://api.tokand.com/v1", api_key=os.environ["TOKAND_KEY"], ) # unchanged call site client.chat.completions.create( model="gpt-4.1", messages=messages, )
Each tool step adds more text. You get charged again for stuff that is mostly noise.
Keep the same AI company, the same prompts, the same product. Tokand sits in front of the call.
If we’re slow or down, your code skips us and talks to the AI directly.
const res = await tokand( { messages, tools }, (req) => provider.complete(req), { apiKey: process.env.TOKAND_KEY, timeoutMs: 80 } ) // if Tokand is down → sender gets the original request
If Tokand takes too long or errors, that one call skips us and your code sends the original request. Savings when we’re up. Normal service when we’re not.
Add Tokand in front of the calls you already make. Pay for the useful words, not the pile of leftovers.
Sign upTokand is for teams searching how to cut AI costs, shave tokens, reduce LLM bills, and control agent spend—without swapping models.
Add Tokand in front of your LLM or agent calls. You keep the same provider and prompts; you send less junk text, so you pay for fewer tokens.
Point your OpenAI-compatible client at https://api.tokand.com/v1. See the quickstart.
Yes. Long tool traces are where bills explode. Tokand sits on that path so you can lower spend without rewriting the agent.
Fail-open by default: on timeout or error, traffic skips Tokand and hits your model provider directly.
Claude, ChatGPT, Claude Code, Codex, Cursor, OpenClaw, Hermes, and anything that accepts a base URL. Guides: connect your AI agent.