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7078d9d1e2
The quality-first default (OpenAI image via OpenRouter) is slow, and a full hatch fans out ~8 rows with up to 3 retries each (300s/call) across 2 parallel waves, so the absolute backend worst case is ~30 min. The old ceilings fired mid-run: - per-image HTTP call: 180s -> 300s (a single cold row can exceed 3 min) - drafts RPC: 240s -> 420s (single wave, no retries — 7 min is ample) - hatch RPC: 420s -> 1hr (sits above the ~30 min backend worst case) The hatch ceiling is intentionally well above the realistic max so the frontend never throws "request timed out" before the backend has exhausted its own retries. The background-resumable notification path remains the real UX safety net — the user can close the modal and get pinged on completion. |
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| .. | ||
| browser | ||
| context_engine | ||
| cron_providers | ||
| dashboard_auth | ||
| disk-cleanup | ||
| google_meet | ||
| hermes-achievements | ||
| image_gen | ||
| kanban | ||
| memory | ||
| model-providers | ||
| observability | ||
| platforms | ||
| security-guidance | ||
| spotify | ||
| teams_pipeline | ||
| video_gen | ||
| web | ||
| __init__.py | ||
| plugin_utils.py | ||