fix(agent): align LLM wall timeout with sustained goals for main + subagents

Centralize runner_wall_llm_timeout_s in session goal_state metadata helpers so
spawned subagents inherit the same policy as AgentLoop without coupling to
long_task. Pass optional resolver into SubagentManager and add tests.

Co-authored-by: Cursor <cursoragent@cursor.com>

tests/agent/test_loop_goal_wall_timeout.py

@@ -0,0 +1,46 @@
+"""Subagent forwards loop-provided LLM wall-timeout resolver into AgentRunSpec."""
+
+from pathlib import Path
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from nanobot.agent.runner import AgentRunResult
+from nanobot.agent.subagent import SubagentManager, SubagentStatus
+from nanobot.bus.queue import MessageBus
+
+
+@pytest.mark.asyncio
+async def test_subagent_forwards_resolver_to_agent_run_spec(tmp_path: Path) -> None:
+    provider = MagicMock()
+    provider.get_default_model.return_value = "m"
+    mgr = SubagentManager(
+        provider=provider,
+        workspace=tmp_path,
+        bus=MessageBus(),
+        max_tool_result_chars=64,
+        llm_wall_timeout_for_session=lambda sk: 0.0 if sk == "cli:direct" else None,
+    )
+
+    mgr.runner.run = AsyncMock(
+        return_value=AgentRunResult(final_content="ok", messages=[], stop_reason="completed")
+    )
+    mgr._announce_result = AsyncMock()
+
+    status = SubagentStatus(
+        task_id="t1",
+        label="lbl",
+        task_description="task",
+        started_at=0.0,
+    )
+    await mgr._run_subagent(
+        "t1",
+        "task",
+        "lbl",
+        {"channel": "cli", "chat_id": "direct", "session_key": "cli:direct"},
+        status,
+    )
+    mgr.runner.run.assert_called_once()
+    spec = mgr.runner.run.call_args[0][0]
+    assert spec.session_key == "cli:direct"
+    assert spec.llm_timeout_s == 0.0