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Team3
2026-07-05 11:12:41 +02:00
parent 54cb6f10e7
commit 9d5940e21f
3 changed files with 8 additions and 1 deletions
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7
Makefile
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@@ -1,4 +1,4 @@
.PHONY: install dev prod stop logs remove auth sync sync-projects sync-all sync-all-reverse projects searxng ollama qa test test-e2e train train-init
.PHONY: install dev prod stop logs remove auth sync sync-projects sync-all sync-all-reverse projects searxng ollama qa test test-e2e train train-init train-server
COMPOSE = docker compose
@@ -129,6 +129,11 @@ train:
@set -a; [ -f .env ] && . ./.env; set +a; \
cd backend && python3 train.py --trials $(or $(TRIALS),40) --stunden $(or $(STUNDEN),12) --ameisen $(or $(AMEISEN),3)
# Training im Server-Container starten (detached, überlebt ssh-Abbruch).
# Fortschritt: storage/train/<sitzung>/trials.jsonl auf dem Server.
train-server:
ssh root@178.104.67.87 'docker exec -d creator python3 train.py --trials $(or $(TRIALS),40) --stunden $(or $(STUNDEN),12) --ameisen $(or $(AMEISEN),3)'
# Frozen-Inventar-Vorlage für das Training bauen (einmalig, echter Mini-Lauf)
train-init:
@set -a; [ -f .env ] && . ./.env; set +a; \

1
backend/train_params.py
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@@ -34,6 +34,7 @@ PARAMS: dict[str, dict] = {
# Engine / Kosten
"CONSENSUS_GRACE": {"default": 300, "min": 0, "max": 600, "step": 60, "kategorie": "laufzeit", "fidelity": "board2"},
"MAX_RESTARTS": {"default": 2, "min": 1, "max": 3, "step": 1, "kategorie": "laufzeit", "fidelity": "board2"},
"HEDGE_NACH_S": {"default": 90, "min": 30, "max": 240, "step": 30, "kategorie": "laufzeit", "fidelity": "board2"},
"EVIDENCE_BUDGET_CHARS": {"default": 48000, "min": 16000, "max": 64000, "step": 8000, "kategorie": "tokens", "fidelity": "board2"},
"QUELLE_RELEVANZ_CHUNK": {"default": 12, "min": 6, "max": 24, "step": 3, "kategorie": "laufzeit", "fidelity": "voll"},
}

1
docker-compose.yml
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@@ -7,6 +7,7 @@ services:
environment:
- CLAUDE_CODE_OAUTH_TOKEN=${CLAUDE_CODE_OAUTH_TOKEN:-}
- MINIMAX_API_KEY=${MINIMAX_API_KEY:-}
- DEFAULT_PROVIDER=${DEFAULT_PROVIDER:-}
networks:
- web
volumes: