Reuse native parallel child logs

Pass each parent-visible child log into direct parallel worker execution so tool before_execution reuses it instead of creating a second generic tool log. This keeps native badge types such as wait/progress (HDL) intact through execution, updates the parallel helper DOX contract, and adds a regression test for log reuse.

Alessandro committed Jul 9, 2026 at 17:42 UTC fa05710da708ebdda1ecb8708fc6ccf0e60bce7d
3 files changed +82 -2
helpers/parallel_tools.py
+20 -2
@@ -487,13 +487,24 @@ async def _run_direct_tool_job(parent_context_id: str, job: ParallelJob) -> str:
487
488 worker_agent = worker_context.agent0
489 worker_agent.loop_data = LoopData()
490 - return await execute_tool_call(worker_agent, job.tool_name, job.tool_args)
490 + return await execute_tool_call(
491 + worker_agent,
492 + job.tool_name,
493 + job.tool_args,
494 + log_item=job.log_item,
495 + )
496 finally:
497 if worker_context:
498 await _remove_context(worker_context.id)
499
500
496 -async def execute_tool_call(agent: "Agent", tool_name: str, tool_args: dict[str, Any]) -> str:
501 +async def execute_tool_call(
502 + agent: "Agent",
503 + tool_name: str,
504 + tool_args: dict[str, Any],
505 + *,
506 + log_item: "LogItem | None" = None,
507 +) -> str:
508 if tool_name == "parallel":
509 raise ValueError("`parallel` cannot be nested inside a parallel worker.")
510
@@ -501,6 +512,11 @@ async def execute_tool_call(agent: "Agent", tool_name: str, tool_args: dict[str,
512 if not tool:
513 raise ValueError(f"Tool '{tool_name}' not found or could not be initialized.")
514
515 + original_get_log_object = None
516 + if log_item is not None:
517 + original_get_log_object = tool.get_log_object
518 + tool.get_log_object = lambda: log_item
519 +
520 agent.loop_data.current_tool = tool
521 try:
522 await agent.handle_intervention()
@@ -524,6 +540,8 @@ async def execute_tool_call(agent: "Agent", tool_name: str, tool_args: dict[str,
540 await agent.handle_intervention()
541 return response.message
542 finally:
543 + if original_get_log_object is not None:
544 + tool.get_log_object = original_get_log_object
545 agent.loop_data.current_tool = None
546
547
helpers/parallel_tools.py.dox.md
+1
@@ -32,6 +32,7 @@
32 - Parent-visible child log items are created for each wrapped call so the WebUI can inspect concurrent children separately while the wrapper result remains model-history-only.
33 - Child tool logs mirror normal tool-call visible args; job ids remain available through wrapper results and prompt extras rather than visible process-step args.
34 - Wrapped tool child logs use each tool's native `get_log_object()` output when available, preserving special log rendering (for example: `code_execution_tool` uses `code_exe`, `wait` uses `progress`, MCP tools use `mcp`, and regular tools use `tool`).
35 +- Direct parallel worker execution reuses the parent-visible child log item so tool `before_execution()` cannot create a second generic worker log or lose the native badge type.
36 - Job IDs are stable handles for later await, collect, or cancel operations.
37 - Prompt extras must stay bounded and expose only job IDs, tool names, status, and compact result/error summaries.
38
tests/test_parallel_tool.py
+61
@@ -551,6 +551,67 @@ async def test_parallel_wait_child_uses_wait_log_type(monkeypatch) -> None:
551 assert agent.context.log.items[0].kvps == {"seconds": 1}
552
553
554 +@pytest.mark.asyncio
555 +async def test_parallel_execute_reuses_child_log_object(monkeypatch) -> None:
556 + class FakeTool:
557 + def __init__(self, agent, args):
558 + self.agent = agent
559 + self.args = args
560 +
561 + def get_log_object(self):
562 + return self.agent.context.log.log(
563 + type="tool",
564 + heading="generic tool log",
565 + content="",
566 + kvps=self.args,
567 + )
568 +
569 + async def before_execution(self, **kwargs):
570 + self.log = self.get_log_object()
571 +
572 + async def execute(self, **kwargs):
573 + return Response(message="done", break_loop=False)
574 +
575 + async def after_execution(self, response):
576 + self.log.update(content=response.message)
577 +
578 + class FakeWorkerAgent(_FakeAgent):
579 + def __init__(self) -> None:
580 + super().__init__()
581 + self.loop_data = SimpleNamespace(current_tool=None)
582 +
583 + def get_tool(self, **kwargs):
584 + return FakeTool(self, kwargs["args"])
585 +
586 + async def handle_intervention(self):
587 + pass
588 +
589 + async def noop_extensions(*_args, **_kwargs):
590 + pass
591 +
592 + monkeypatch.setattr(parallel_tools, "call_extensions_async", noop_extensions)
593 +
594 + agent = FakeWorkerAgent()
595 + child_log = agent.context.log.log(
596 + type="progress",
597 + heading="icon://timer Wait: Waiting...",
598 + content="",
599 + kvps={"seconds": 1},
600 + )
601 +
602 + result = await parallel_tools.execute_tool_call(
603 + agent, # type: ignore[arg-type]
604 + "wait",
605 + {"seconds": 1},
606 + log_item=child_log,
607 + )
608 +
609 + assert result == "done"
610 + assert agent.context.log.items == [child_log]
611 + assert child_log.type == "progress"
612 + assert child_log.content == "done"
613 +
614 +
615 @pytest.mark.asyncio
616 async def test_parallel_tool_keeps_wrapper_out_of_visible_log() -> None:
617 from tools.parallel import ParallelTool