mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
dd8d2ccc9e
Railway build was failing with "Image of size 5.7 GB exceeded limit of 4.0 GB" because sentence-transformers pulled torch with full CUDA/NVIDIA GPU packages (~3 GB). Fix: multi-stage Dockerfile that: 1. Installs CPU-only torch first (--index-url pytorch.org/whl/cpu) saving ~3 GB (200 MB CPU vs 3.2 GB CUDA) 2. Multi-stage build: builder + runtime (smaller final image) 3. Non-root user (app:1000) 4. tini init for proper signal handling 5. Built-in HEALTHCHECK with 60s start-period 6. railway.toml with healthcheck path and restart policy Also fixes healthcheck failure: start-period=60s gives the app time to initialize before Railway starts checking /health. Expected image size: ~2 GB (down from 5.7 GB). https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs |
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| .. | ||
| alembic | ||
| app | ||
| knowledge_base | ||
| scripts | ||
| tests | ||
| .env.phase2.example | ||
| alembic.ini | ||
| campaign_results.json | ||
| Dockerfile | ||
| pyproject.toml | ||
| pytest.ini | ||
| railway.toml | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| seed_database.py | ||
| update_requirements.py | ||