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tests: pin ink engine in _make_tui_argv npm-bootstrap tests (post-merge semantic fix)

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Main's rewritten test_tui_npm_install.py tests call _make_tui_argv expecting
the Ink/npm flow unconditionally; with the dual-engine dispatch merged in,
_resolve_tui_engine() auto-selects opentui whenever ui-opentui/dist is built
in the repo, routing the call away from the path under test (first subprocess
became 'node --version' instead of 'npm run build'). Pin the engine to ink
via an autouse fixture, mirroring the existing pinning precedent in
test_tui_resume_flow.py.
This commit is contained in:
alt-glitch 2026-06-12 10:32:40 +05:30
parent ab37440ce6
commit e1067dbbe5
756 changed files with 79874 additions and 19585 deletions
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27
agent/tool_executor.py
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@ -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:
if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
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:
elif not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
_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:
if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
args_str = json.dumps(function_args, ensure_ascii=False)
if agent.verbose_logging:
print(f" 📞 Tool {i}: {function_name}({list(function_args.keys())})")
@ -1065,6 +1065,25 @@ 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):
@ -1365,7 +1384,7 @@ 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:
if not agent.quiet_mode and getattr(agent, "tool_progress_mode", "all") != "off":
if agent.verbose_logging:
print(f" ✅ Tool {i} completed in {tool_duration:.2f}s")
print(agent._wrap_verbose("Result: ", function_result))