- Fix: chapter quality evaluation now uses model_logic (free Pro) instead of model_writer (Flash).
The model that wrote the chapter was also scoring it, causing circular, lenient grading.
- Increase max_attempts in write_chapter from 2 to 3 for more refinement passes per chapter.
- Update auto model selection prompt (ai/setup.py) to prioritize quality over budget framing:
free/preview/exp models preferred by capability (Pro > Flash, 2.5 > 2.0 > 1.5), not just cost.
Writer role now allowed to use best free Flash/Pro preview — not restricted to basic Flash only.
- Bump version to 3.0.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- ai/setup.py: Added threading import; OAuth block now detects background/headless
threads and skips run_local_server to prevent indefinite blocking. Logs a clear
warning and falls back to ADC for Vertex AI. Token file only written when creds
are not None.
- web/tasks.py: All sqlite3.connect() calls now use timeout=30, check_same_thread=False.
OperationalError on the initial status update is caught and logged via utils.log.
generate_book_task now touches initial_log immediately so the UI polling endpoint
always finds an existing file even if the worker crashes on the next line.
- ai_blueprint.md: Bumped to v2.9; Section 12.D sub-items 1-3 marked ✅; item 13
added to summary.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Root causes of indefinite spinning during book create/generate:
1. ai/models.py — ResilientModel.generate_content() had no timeout: a
stalled Gemini API call would block the thread forever. Now injects
request_options={"timeout": 180} into every call. Also removed the
dangerous init_models(force=True) call inside the retry handler, which
was making a second network call during an existing API failure.
2. ai/setup.py — genai.list_models() calls in get_optimal_model(),
select_best_models(), and init_models() had no timeout. Added
request_options={"timeout": 30} to all three calls so model init
fails fast rather than hanging indefinitely.
3. web/app.py — Huey task consumer only started inside
`if __name__ == "__main__":`, meaning tasks queued via flask run,
gunicorn, or other WSGI runners were never executed (status stuck at
"queued" forever). Moved consumer start to module level with a
WERKZEUG_RUN_MAIN guard to prevent double-start under the reloader.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
