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KeiSeiKit-1.0/_blocks/deploy-modal.md
Parfii-bot a4e667de10 KeiSeiKit-public — clean state 
Single-commit clean baseline after security scrub of niche-tells,
project codenames, internal jargon, and contributor-email leaks.

Contents:
- 100 Rust crates (_primitives/_rust/)
- 37 agent manifests (_manifests/) + generated specs (_generated/)
- 67 user-invocable skills (skills/)
- 33 hooks (hooks/)
- Composition blocks (_blocks/)
- Documentation (docs/, README.md)
- TS adapter packages (_ts_packages/)
- Assembler (_assembler/)
- Roles (_roles/)
- Templates (_templates/)
- Forgejo CI (.forgejo/)

Author: Denis Parfionovich <info@greendragon.info>

License: see LICENSE.
2026-05-01 12:09:03 +08:00

1.8 KiB
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DEPLOY — Modal (GPU compute)

A real cost-overrun incident (tens of dollars lost to unchecked runs) and a real KILL-GUARD incident (over an hour of training killed for a non-critical bug) shape every rule below.

Pre-launch 10-step checklist (all ticks before modal run):

  1. modal app list — verify no collisions/duplicates
  2. GPU compat: A10G torch ≥ 2.0 ($1.10/hr), H100 torch ≥ 2.1 ($4.50/hr), B200 torch ≥ 2.6 (~$8/hr)
  3. cat the script — confirm file edits actually landed
  4. Cost estimate in dollars, verified on live https://modal.com/pricing (NOT from memory)
  5. Volume + vol.commit() after each write
  6. Checkpoints every 500 steps saving state_dict (not just JSON metrics)
  7. retries=modal.Retries(max_retries=1) minimum
  8. .spawn() for batches — NEVER .map() (cascade-kill on single failure)
  9. flush=True on every print; progress every 250 steps
  10. Single-variant smoke run BEFORE fanning out to N variants

Cost tiers: AUTO < $5 · WARN $5-$20 (daily cap $20) · STOP > $20 (explicit user "yes, launch").

anti-stop guard (no exception):

  • NEVER modal app stop, modal app kill, kill <pid>, pkill -f modal without literal user phrase "yes, stop it".
  • Before any stop: modal app list → show user what is running, how long in, how much remaining, current checkpoint state.
  • A bug in the launching script is NOT a reason to kill a running training run.

Volume persistence: results survive only inside modal.Volume with explicit vol.commit(). Stdout is ephemeral — checkpoints in volume, metrics in volume, logs to volume.

Forbidden: guessed prices from memory; .map(return_exceptions=False) for batches; print() without flush=True; launching N variants before one verified single-variant; restarting "for cleanliness" when checkpoints are flowing; stopping a run to fix the launching script.