diff --git a/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_call_limit_parallel_bug.py b/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_call_limit_parallel_bug.py
deleted file mode 100644
index c4b1097a302..00000000000
--- a/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_call_limit_parallel_bug.py
+++ /dev/null
@@ -1,65 +0,0 @@
-"""Test that middleware correctly handles parallel tool calls with limits.
-
-Verifies that when middleware blocks some parallel tool calls, only the
-permitted calls execute and interrupts propagate correctly.
-"""
-
-from langchain_core.messages import HumanMessage, ToolCall
-from langchain_core.tools import tool
-from langgraph.checkpoint.memory import MemorySaver
-from langgraph.types import interrupt
-
-from langchain.agents.factory import create_agent
-from langchain.agents.middleware.tool_call_limit import ToolCallLimitMiddleware
-from tests.unit_tests.agents.model import FakeToolCallingModel
-
-
-def test_instrument_middleware_and_routing() -> None:
-    """Trace the middleware return value and what model_to_tools sees."""
-    call_log: list[str] = []
-
-    @tool
-    def ask_fruit_expert(question: str) -> str:
-        """Ask the fruit expert."""
-        call_log.append(f"fruit:{question}")
-        interrupt("continue?")
-        return f"Fruit answer: {question}"
-
-    @tool
-    def ask_veggie_expert(question: str) -> str:
-        """Ask the veggie expert."""
-        call_log.append(f"veggie:{question}")
-        return f"Veggie answer: {question}"
-
-    model = FakeToolCallingModel(
-        tool_calls=[
-            [
-                ToolCall(name="ask_fruit_expert", args={"question": "apples"}, id="c1"),
-                ToolCall(name="ask_fruit_expert", args={"question": "bananas"}, id="c2"),
-            ],
-            [],
-        ]
-    )
-
-    fruit_mw = ToolCallLimitMiddleware(tool_name="ask_fruit_expert", run_limit=1)
-    veggie_mw = ToolCallLimitMiddleware(tool_name="ask_veggie_expert", run_limit=1)
-
-    checkpointer = MemorySaver()
-
-    agent = create_agent(
-        model=model,
-        tools=[ask_fruit_expert, ask_veggie_expert],
-        middleware=[fruit_mw, veggie_mw],
-        checkpointer=checkpointer,
-    )
-
-    config = {"configurable": {"thread_id": "debug1"}}
-    result = agent.invoke(
-        {"messages": [HumanMessage("Tell me about apples and bananas")]},
-        config,
-    )
-
-    assert len(call_log) == 1, f"Expected 1 execution, got {len(call_log)}: {call_log}"
-    assert len(result.interrupts) == 1, (
-        f"Expected 1 interrupt, got {len(result.interrupts)}"
-    )