Training-Harness (ACO, Multi-Fidelity), Prüfstand-Benchmark, Agenten-README

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
team3
2026-07-04 12:47:19 +02:00
parent 8d8f6c8e51
commit 8488737303
14 changed files with 772 additions and 267 deletions

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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
.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
COMPOSE = docker compose
@@ -127,4 +127,9 @@ test-e2e:
# Achtung: jeder Trial ist ein echter Mini-Lauf (MiniMax-Tokens, Minuten).
train:
@set -a; [ -f .env ] && . ./.env; set +a; \
cd backend && python3 train.py --trials $(or $(TRIALS),40) --stunden $(or $(STUNDEN),12)
cd backend && 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; \
cd backend && python3 train.py --init