# MAGATAMA All-Lane RunPod Training Start

Date: 2026-05-09 23:09 UTC

## Scope

- Train all current MAGATAMA LLM lanes via RunPod:
  - `magatamallm`
  - `fo_blogllm`
  - `tip_llm`
  - `pulso_llm`
  - `contact_llm`

## Preflight

- MAGATAMA services were online on Erik.
- Active RunPod endpoint reported by MAGATAMA: `0rmkf28w2g5gip`.
- RunPod worker kind: `custom-magatama`.
- Dataset source: URL-based lane export.
- Previous successful/adopted runs existed for:
  - `magatamallm`
  - `fo_blogllm`
  - `tip_llm`
- No previous run existed yet for:
  - `pulso_llm`
  - `contact_llm`

## Runner Fix

- Fixed `scripts/trigger_lane_training_once.py` locally and on Erik.
- MAGATAMA Gitea commit: `76d4054`.
- The script previously used stale API keys:
  - `iterations`
  - `seedOnly`
- The MAGATAMA training API expects:
  - `iters`
  - `seed_only`
- Added `all` mode to run all lanes sequentially.
- Added streamed SSE logging so progress is visible during long RunPod runs.

## Live Run

- Started on Erik:
  - `python3 -u scripts/trigger_lane_training_once.py all 500 false`
- Log:
  - `/opt/magatama/logs/runpod-all-lanes-20260509T230549Z.log`
- First active lane:
  - `magatamallm`
- First RunPod job:
  - `89627e7e-8533-45db-9fe8-eca994018aa6-e2`
- Initial `magatamallm` dataset:
  - `1375 train`
  - `153 eval`
  - `1528 total`

## Success Rule

- Do not treat RunPod `COMPLETED` as success by itself.
- A lane is only successful when:
  - the model artifact exists,
  - MAGATAMA imports/adopts it locally,
  - smoke checks pass,
  - the active alias/version is updated.
