Mirrors the pattern already in openai_orchestrator.py. The Gemini engine
was still hardcoded to the global orchestrator_max_rounds setting.
- orchestrator_engine.py: max_rounds param on run() and _run_from_contents();
effective_limit = min(per_model_limit, global_limit); stored in checkpoint
so resume() respects it across confirmation gates
- routers/orchestrator.py: passes orch_model.get("max_rounds") to run()
- tools/agents.py: passes model_cfg.get("max_rounds") for gemini_api spawns
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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