LLM Ops Cookbook — 30 production recipes

The field manual for LLM workloads in production — every recipe tested on a live multi-provider gateway serving 33 models.

Stop 429 cascades with sliding-window pacing that doubles throughput on the same quota
Kill the silent 180-second hang: stream idle timeouts, circuit breakers, failover ladders with sticky windows
Cut cost 5x with model tiering — extraction on cheap, judgment on strong — plus per-task cost accounting
Swap models without gambling: golden-set regression gates and a four-task quality bench you can run in 15 minutes

19 USDT

Pay in USDT (BEP20). The download link unlocks the moment the transfer confirms — no account needed.

Buy — 19 USDT

The six parts

Throughput — pacing, key rotation, failover ladders, bounded fan-out for 1000-item jobs
Contracts — JSON repair loops, tool-call normalization, streaming partial JSON, determinism
Cost engineering — model tiering, token budgets, cache layers, free-tier ladders
Reliability — circuit breakers, watchdogs, idempotent checkpoints, structured logs
Evaluation — golden sets, the four-task bench, latency percentiles, A/B routing
War stories — a live 16-channel gateway dissected: real numbers, six named bugs, two postmortems

What you get

30 recipes in markdown, each one page: Problem → Why it bites → Recipe (runnable code) → Checklist.
Node.js and Python implementations that run on free tiers first-class — no paid API key required to reproduce anything.
Windows-specific background-service recipes (job objects, BOM traps, hidden windows) you will not find anywhere else.

Who wrote it

Every recipe comes out of a live system: a free-tier gateway doing real daily work, scheduled jobs that must survive bad nights, and a messaging product with a 5-second reply window on 20–180s upstreams. The bugs are real, the numbers are real, the fixes shipped.

LLM Ops Cookbook — 30 production recipes

The six parts

What you get

Who wrote it

Background reading