system-prompts-and-models-of-ai-tools/railway.toml at dd8d2ccc9e8dcb4866185a7780beebfeab52a447 - system-prompts-and-models-of-ai-tools - CitrusCode

mancitrus/system-prompts-and-models-of-ai-tools

mirror of https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git synced 2026-06-18 15:29:36 +00:00

Claude dd8d2ccc9e

fix(docker): CPU-only torch + multi-stage build to fix Railway 4GB limit

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

2026-04-23 13:33:09 +00:00

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255 B

TOML

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 [build]
 dockerfilePath = "Dockerfile"
 [deploy]
 healthcheckPath = "/api/v1/health"
 healthcheckTimeout = 120
 startCommand = "uvicorn app.main:app --host 0.0.0.0 --port ${PORT:-8000} --workers 2"
 restartPolicyType = "ON_FAILURE"
 restartPolicyMaxRetries = 3