feat(entry): interactive mode keeps the root agent alive across cycles
Pre-migration ``BaseAgent.agent_loop`` ran forever in interactive mode, re-entering a "waiting state" after each finish-tool call so user follow-ups could keep the conversation going. Post-migration our ``Runner.run`` returned on ``StopAtTools(finish_scan)`` and the user's next chat message had no listener — silent dead-end. Restore the legacy "agent never dies" semantics using the SDK's canonical demo-loop pattern (``agents/repl.py:run_demo_loop``): - Add ``AgentMessageBus.wait_for_message(agent_id)`` — blocks until an inbox is non-empty. Backed by a per-agent ``asyncio.Event`` fired from ``send``. - Add ``AgentMessageBus.park(agent_id)`` — sets status to ``waiting`` without finalizing (inbox + tree edges + name preserved). Lets ``send`` keep accepting messages between cycles. - Plumb ``interactive`` through ``make_agent_context`` and the ``create_agent`` graph tool (children inherit). - ``StrixOrchestrationHooks.on_agent_end`` parks the root agent instead of finalizing when ``interactive=True`` and the run completed cleanly. Resets ``agent_finish_called`` / ``turn_count`` for the next cycle. - ``entry.run_strix_scan`` adds an outer loop in interactive mode: after ``Runner.run`` returns, ``await bus.wait_for_message(root_id)``, drain pending user messages, and re-invoke ``Runner.run``. SQLite session preserves prior conversation across cycles. For non-interactive (CLI) mode: unchanged — single ``Runner.run``, return. Verified bus behaviors: wait returns immediately on pre-existing message, blocks then wakes on send, ``park`` keeps agent send-able, ``finalize`` evicts. Lint at baseline (3 ruff / 69 mypy). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -450,6 +450,7 @@ async def create_agent(
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model_settings=inner.get("model_settings"),
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max_turns=int(inner.get("max_turns", 300)),
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is_whitebox=bool(inner.get("is_whitebox", False)),
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interactive=bool(inner.get("interactive", False)),
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diff_scope=inner.get("diff_scope"),
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run_id=inner.get("run_id"),
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agent_factory=factory,
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