Dependable Token governance for the enterprise, and a supply of AI tokens the systems you put into production can rely on.
Tare sits between your application and the model vendors, consolidating vendor selection, protocol differences, failure handling and cost accounting into one layer. Your application keeps a single address and a single credential; what changes behind that line stays behind it.
Billing, availability, rules per business line, and data protection.
Every call records its business line, stage, attempt number and tool outcome. Monthly spend splits by team, product and vendor, and drills down into what it was made of.
Part of that invoice is money spent on retries.
A model name can map to several vendors, with primary, backup and weighting defined by you.
One credential per business line, each with its own model permissions, budget and statement line.
Every call is checked. For each kind of content, you set what happens.
No SDK, no agent, no change to how you call the API. Replace base_url and api_key.
client = OpenAI(
base_url="https://api.openai.com/v1",
api_key=OPENAI_KEY,
)client = OpenAI(
base_url="https://tare.jamerly.ai/v1",
api_key=TARE_KEY,
)By default we take no part in the token trade. We charge for governance, so we have no reason to want your usage to grow.
Your contracts, invoices and negotiated rates. Governance only, no transaction.
A published rate per million tokens, independent of what you negotiated with your vendor.
One balance, one invoice. No vendor accounts of your own to maintain.
One credential per business line, each with its own model permissions, budget and statement line. **There is deliberately no department or project layer above it** — a modelled org chart stops matching reality at the first reorg. Instead each credential carries a stated purpose, and that purpose travels with every figure it produces.
Partly. Every park and restore is recorded with a timestamp, and calls and failures are counted per vendor. There is no availability percentage and no SLA report.
No. Vendor switching happens before output starts. Output already sent cannot be recalled, and two half-answers stitched together are harder to handle than a clear error.
Until you enter your contracted vendor rates they are a floor, and the page says so. They do not affect what we charge you — that is a published rate per token.
It alerts by default. Hard cut-off is a separate switch you turn on deliberately.
Through our endpoint, yes. Through a node you host, calls to your own vendor accounts go straight from your network to the vendor. We receive the usage figures, not the content, and the check runs on your machine.
What you set for that kind of content: nothing, a placeholder, a failed call, or a forwarded call plus an alert. Every hit is recorded. A missed alert can be sent again from the console.
No. It locks on close. Corrections land in the open month and are visible to you.
Move one across and leave it for a month. What comes back is a statement you can take into a meeting: who spent it, who it went to, and what it bought.
Talk through your setup