| version: '3.8' | |
| # LIVE services (Qwen-backed, runnable). The custom from-scratch .pt services | |
| # (alignment, adaptation, gateway) are an OFFLINE learning track and are NOT | |
| # started here -- see the note below and README "Track A". | |
| services: | |
| tokenizer-service: | |
| build: | |
| context: . | |
| dockerfile: docker/Dockerfile | |
| command: python services/tokenizer_service/app.py | |
| ports: | |
| - "8001:8001" | |
| volumes: | |
| - .:/workspace | |
| working_dir: /workspace | |
| # --- OFFLINE / from-scratch track (NOT started by `docker-compose up`) --- | |
| # alignment-service (:8002 /sft /dpo), adaptation-service (:8003 /adapt), and | |
| # api-gateway (:8080 pipeline) run the custom DecoderOnlyTransformer and need | |
| # trained .pt checkpoints produced on the DGX (gitignored, not in the repo). | |
| # They are kept in the repo as a learning track but excluded from the live | |
| # compose. To run one manually once a checkpoint exists: | |
| # python src/alignment/alignment_service.py | |
| # python src/adaptation/adaptation_service.py | |
| # python src/api/gateway.py | |
| hitl-service: | |
| build: | |
| context: . | |
| dockerfile: docker/Dockerfile | |
| command: python services/hitl_service/app.py | |
| ports: | |
| - "8006:8006" | |
| environment: | |
| - USE_CUDA=0 | |
| volumes: | |
| - .:/workspace | |
| working_dir: /workspace | |