Talha Ahmed
06427a4f32
- .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> |
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| .. | ||
| api | ||
| core | ||
| models | ||
| prompts | ||
| services | ||
| static | ||
| Dockerfile | ||
| __init__.py | ||
| main.py | ||