NewRunning an AI agent in production is six services in a trench coat

A task queue for batch AI work,
built around tokens, tenants, and replays.

Per-item cost. Per-tenant budgets. Every input captured, every run replayable — no silent drops at the tail of the queue.

We'll email you the moment Papayya launches. No spam.

terminal
$ python tag_tickets.py

▸ tag_tickets · 1,000 items · 2 orgs · claude-sonnet (your key)

  item_0001   ✓ tagged: billing      $0.0021
  item_0217   ↻ 429 → resumed       $0.0019
  item_0584   ✗ schema_violation → flagged for replay
  item_0998   ✓ tagged: technical    $0.0022

✓ 997 done · 3 flagged · $2.04 · 0 silently dropped

Where multi-tenant LLM batches get stuck. And what Papayya does about each one.

Cron exits 0. The dashboard is green. The data is wrong. Four places this happens, every week, on every team running periodic LLM work.

Silent partial failure

breaks

The run reports 1,000 processed. Two weeks later, a support ticket tells you 0 of them never finished.

papayya

Every item tagged with its run, prompt, and error on the way through. Failures cluster as they happen, not after the fact.

you see

The 30 surface in your dashboard the moment they break — not from a support ticket three weeks later.

Rate-limit poisoning

breaks

One API key, one rate budget — every tenant shares it. More workers don't help; they just drain the same bucket faster. Whichever tenant is in flight when it empties eats the 429s. Retries fight the same bucket and exhaust. Some tenant always loses.

papayya

Per-tenant token budgets. Throttled work re-queues instead of dropping.

you see

Success rate per tenant, not just totals. The starved tenant surfaces immediately, not the quarter they churn.

The bill you didn't see coming

breaks

One bad input tripled the month. $0k backfill, zero per-org attribution.

papayya

Per-item cost tracked in real time, attributed to the tenant that caused it.

you see

Outlier items ranked while the run is still going — kill it before it bills you twice.

The Tuesday question

breaks

“Why didn't X happen last Tuesday?” You can't replay last week's pipeline against today's prompt. The thread runs for weeks.

papayya

Every input captured on the way in. Replay any run, from any step, against any prompt.

you see

A one-click rerun of the exact item that broke — same fixture, new prompt, side-by-side diff.