# MAGATAMA Custom RunPod Worker Build/Publish Prep Date: 2026-05-07 ## What Changed - committed and pushed the previously pending RunPod root-cause sync handoff: - `2a35761 sync: record runpod managed endpoint root cause` - added a real custom-worker build/publish helper to MAGATAMA: - `magatama/scripts/runpod_worker_publish.sh` - added package entrypoint: - `pnpm runpod:worker:publish` - extended: - `magatama/packages/fine-tuner/RUNPOD.md` so the target end-to-end automation path is documented from lane pool through alias switch ## Erik Reality Check - `docker` exists on Erik: - `/usr/bin/docker` - `docker buildx` exists: - `github.com/docker/buildx v0.33.0` - no preexisting docker registry login/config found: - `~/.docker/config.json` absent Interpretation: - Erik can act as a builder - but cannot yet publish a worker image to GHCR/Docker Hub without credentials or a registry login ## Live Remote Worker Build Attempt Synced to Erik: - `/opt/magatama/packages/fine-tuner/Dockerfile.runpod` - `/opt/magatama/packages/fine-tuner/RUNPOD.md` Then attempted: - build image tag: - `magatama-runpod-worker:test` Observed build truth: - base `runpod/pytorch:2.2.0-py3.10-cuda12.1.1-devel-ubuntu22.04` pulled successfully - worker dependencies installed successfully - build progressed through: - `COPY train_cuda.py runpod_handler.py ./` - `exporting to image` But: - the image was not yet visible afterward in `docker images` - therefore the build still needs one more clean verification pass ## Current Bottleneck The remaining blocker is no longer MAGATAMA lane logic or adoption code. It is now: 1. publish the custom worker image to a registry RunPod can consume 2. create/switch the endpoint to that image 3. set on Erik: - `RUNPOD_WORKER_KIND=custom-magatama` - `RUNPOD_ENDPOINT_ID=` Only then can MAGATAMA complete the intended full automation: - training pool refresh - lane-specific dataset build - RunPod fine-tune - returned artifact reference - local adoption/import - smoke tests - new release alias - active alias switch