- .env.example documents the production model (gpt-4o-mini-2024-07-18) and a
4000-token output cap; the model rejects caps above 16384 with a 400, which
the old 32768 value triggered on every llm_call request.
- llm_setup: safe default cap and per-call token/cache usage logging.
- agent/prompt: job posts precede the resume so the stable block hits the
prompt cache for every CV after the first in a sync run.
- inbox: On-Hold rescan pairs candidates with active jobs only; scores against
closed roles were paid for and never shown.
- app: ruff formatting for the config/model edits from main, and an accurate
comment on why gpt-4o-mini is admitted while the rest of gpt-4o is not.
Verified live on gpt-4o-mini: llm_call and the scorer both succeed, the
28-check scoring audit passes, ruff/mypy/pytest pass for app.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Talha Ahmed
ahmed.mujtaba