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swarm-zap/skills/council/scripts/council-plan.py

51 lines
1.6 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
ROSTER_PATH = ROOT / 'references' / 'roster.json'
def load_roster():
return json.loads(ROSTER_PATH.read_text(encoding='utf-8'))
def resolve_plan(mode: str, tier: str):
roster = load_roster()
if mode not in roster:
raise SystemExit(f'Unknown mode: {mode}')
if tier not in roster['tierPolicy']:
raise SystemExit(f'Unknown tier: {tier}')
roles = roster[mode]['roles']
tier_policy = roster['tierPolicy'][tier]
plan = {
'mode': mode,
'tier': tier,
'roles': {},
'notes': tier_policy.get('notes', '')
}
for role, cfg in roles.items():
mission = cfg.get('mission', 'advisor')
override = tier_policy.get('synthesisModel') if mission == 'synthesis' else tier_policy.get('advisorModel')
plan['roles'][role] = {
'agentId': cfg['agentId'],
'mission': mission,
'defaultModel': cfg.get('defaultModel'),
'modelOverride': override,
'fallbacks': cfg.get('fallbacks', [])
}
return plan
if __name__ == '__main__':
p = argparse.ArgumentParser(description='Resolve council role/agent/model plan')
p.add_argument('--mode', default='personality', choices=['personality', 'dp'])
p.add_argument('--tier', default='light', choices=['light', 'medium', 'heavy'])
p.add_argument('--pretty', action='store_true')
args = p.parse_args()
plan = resolve_plan(args.mode, args.tier)
print(json.dumps(plan, indent=2 if args.pretty else None))