opentui(phase3): launcher integration — HERMES_TUI_ENGINE dual-engine

hermes --tui launches the native OpenTUI engine (Bun) when
HERMES_TUI_ENGINE=opentui (env) or display.tui_engine=opentui (config);
Ink stays the default and the shipping path is untouched.

- _resolve_tui_engine() (env > config > ink); refuses opentui on
  Windows/Termux (no Bun) -> falls back to ink with a notice.
- _make_opentui_argv() -> [bun, src/entry.real.tsx] (no build step).
- _bun_bin() with HERMES_BUN override.
- Branch at top of _make_tui_argv BEFORE _ensure_tui_node (Bun-only host
  must not bootstrap Node).
- Gate _launch_tui NODE_OPTIONS/--max-old-space-size on engine==ink (Bun
  is JSC; the V8 flag errors/ignores).

Verified end-to-end via tmux: real hermes --tui -> Bun -> OpenTUI ->
real Python gateway streamed a real reply. No-flag default still ink.

agent/tool_executor.py

@@ -417,7 +417,7 @@ def execute_tool_calls_concurrent(agent, assistant_message, messages: list, effe
 
     # ── Logging / callbacks ──────────────────────────────────────────
     tool_names_str = ", ".join(name for _, name, _, _, _, _ in parsed_calls)
-    if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
+    if not agent.quiet_mode:
         print(f"  ⚡ Concurrent: {num_tools} tool calls — {tool_names_str}")
         for i, (tc, name, args, middleware_trace, block_result, blocked_by_guardrail) in enumerate(parsed_calls, 1):
             args_str = json.dumps(args, ensure_ascii=False)
@@ -702,7 +702,7 @@ def execute_tool_calls_concurrent(agent, assistant_message, messages: list, effe
         if agent._should_emit_quiet_tool_messages():
             cute_msg = _get_cute_tool_message_impl(name, args, tool_duration, result=function_result)
             agent._safe_print(f"  {cute_msg}")
-        elif not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
+        elif not agent.quiet_mode:
             _preview_str = _multimodal_text_summary(function_result)
             if agent.verbose_logging:
                 print(f"  ✅ Tool {i+1} completed in {tool_duration:.2f}s")
@@ -866,7 +866,7 @@ def execute_tool_calls_sequential(agent, assistant_message, messages: list, effe
         elif function_name == "skill_manage":
             agent._iters_since_skill = 0
 
-        if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
+        if not agent.quiet_mode:
             args_str = json.dumps(function_args, ensure_ascii=False)
             if agent.verbose_logging:
                 print(f"  📞 Tool {i}: {function_name}({list(function_args.keys())})")
@@ -1065,25 +1065,6 @@ def execute_tool_calls_sequential(agent, assistant_message, messages: list, effe
             tool_duration = time.time() - tool_start_time
             if agent._should_emit_quiet_tool_messages():
                 agent._vprint(f"  {_get_cute_tool_message_impl('clarify', function_args, tool_duration, result=function_result)}")
-        elif function_name == "read_terminal":
-            def _execute(next_args: dict) -> Any:
-                from tools.read_terminal_tool import read_terminal_tool as _read_terminal_tool
-                return _read_terminal_tool(
-                    start_line=next_args.get("start_line"),
-                    count=next_args.get("count"),
-                    callback=getattr(agent, "read_terminal_callback", None),
-                )
-            function_result, function_args = _run_agent_tool_execution_middleware(
-                agent,
-                function_name=function_name,
-                function_args=function_args,
-                effective_task_id=effective_task_id,
-                tool_call_id=getattr(tool_call, "id", "") or "",
-                execute=_execute,
-            )
-            tool_duration = time.time() - tool_start_time
-            if agent._should_emit_quiet_tool_messages():
-                agent._vprint(f"  {_get_cute_tool_message_impl('read_terminal', function_args, tool_duration, result=function_result)}")
         elif function_name == "delegate_task":
             tasks_arg = function_args.get("tasks")
             if tasks_arg and isinstance(tasks_arg, list):
@@ -1384,7 +1365,7 @@ def execute_tool_calls_sequential(agent, assistant_message, messages: list, effe
         # entire batch.  The model sees it on the next API iteration.
         agent._apply_pending_steer_to_tool_results(messages, 1)
 
-        if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
+        if not agent.quiet_mode:
             if agent.verbose_logging:
                 print(f"  ✅ Tool {i} completed in {tool_duration:.2f}s")
                 print(agent._wrap_verbose("Result: ", function_result))