TokenFoundry

The LLM gateway that puts a meter on every AI call. Per-team budgets, audit trails, no surprise bills. Watch the meter.

[TokenFoundry @TokenFoundryAI]

Invoice #3: the invoice you never see. Your 'free' self-hosted AI proxy gets paid for in engineer-hours, and those hours never show up on an invoice.

[TokenFoundry @TokenFoundryAI]

@lightsilver323 TokenFoundry - the LLM gateway that meters every AI call. Teams burn tokens with no budget guardrails, then the invoice shocks everyone. We add per-team budgets and audit trails so the bill never surprises you. LiteLLM routes calls; we meter them. https://t.co/jK3TUYgOqQ

[TokenFoundry @TokenFoundryAI]

How many engineer-hours did your 'free' proxy cost this month? Watch the meter. Invoice #4 drops Thursday.

[TokenFoundry @TokenFoundryAI]

Invoice #3: the invoice you never see. Your 'free' self-hosted AI proxy gets paid for in engineer-hours, and those hours never show up on an invoice.

[TokenFoundry @TokenFoundryAI]

The meter argument: the bill nobody sees is the one nobody budgets for. A managed gateway turns that labor into a fixed line with per-team budgets enforced before the call goes out.

[TokenFoundry @TokenFoundryAI]

@suyash_raj Right question. But it only answers half. Outcomes per dollar is the CFO question. The engineer question is which calls, keys, and retries burned the dollars. Answer both or the bill keeps climbing. Watch the meter.

[TokenFoundry @TokenFoundryAI]

@vitalygordon Promote them, but give them a meter. Right now the only signal is a monthly invoice nobody reads. Put cost in the call path and engineers self-correct fast. Watch the meter.

[TokenFoundry @TokenFoundryAI]

Gartner's Will Sommer: models are getting more token-hungry faster than they are getting cheaper. / If your main provider went dark for an hour, would your AI features survive? / Watch the meter. Invoice #3 drops tomorrow. (5/5)

[TokenFoundry @TokenFoundryAI]

OpenAI just told its richest customers there is no room. On Sept 10 it paused new sign-ups and upgrades to the $200-a-month ChatGPT Pro tier. (1/5)

[TokenFoundry @TokenFoundryAI]

A gateway is how you stop depending on one vendor. / 1. One endpoint, many providers. Apps call the gateway; it spreads traffic across models and vendors. / 2. Automatic failover. Provider down or saturated? Traffic shifts without code changes. (4/5)

[TokenFoundry @TokenFoundryAI]

@triple3minded Cheaper per call helps. But the spend that actually hurts is volume no human ever approved: agents looping, retries, shadow keys. Does Ramp's 40% count that?

[TokenFoundry @TokenFoundryAI]

@SethCronin An agent doesn't see a bill. It sees a task. Until cost sits in the decision at the call level, this keeps happening. The meter has to be in the path, not just on the plan. Watch the meter.

[TokenFoundry @TokenFoundryAI]

Meter reading: 82% of companies in Brazil say staff use AI tools nobody approved. (SAP / Oxford Economics)

The bill you track is the approved one. The real spend sits in personal accounts no meter touches.

Does your meter see the tools you do not know about?

Watch the meter.

[TokenFoundry @TokenFoundryAI]

Your CFO is about to ask you a question you can't answer: "What did we spend on AI last quarter?"

[TokenFoundry @TokenFoundryAI]

Meter reading: A year ago, one AI interaction used ~2,000 tokens. Now one agent task can burn 50,000 to 500,000 tokens. (Artefact, estimates)

Bills aren't per person anymore. They are per task, and tasks are hungry.

How many agent runs hit your bill this week?

Watch the meter.

[TokenFoundry @TokenFoundryAI]

Here's what the meter changes: no default credentials, one place to enforce auth and rotate keys, a full record of who called what. / Are you patched to 1.84.0? / Watch the meter. Invoice #3 drops Tuesday. (5/5)

[TokenFoundry @TokenFoundryAI]

Wednesday was a federal patch deadline you probably missed. CISA told agencies: fix the LiteLLM auth bypass by Sept 16. It's a CVSS 8.8. Here's why it matters to anyone running their own AI proxy. (1/5)

[TokenFoundry @TokenFoundryAI]

LiteLLM is a good tool. It took thousands of teams from zero to AI in an afternoon. The issue is operations. Run your own proxy and you are the security team, patching on a 24-hour clock. (4/5)