test_wrap_tool_call_modify_args() — langchain Function Reference
Architecture documentation for the test_wrap_tool_call_modify_args() function in test_wrap_tool_call.py from the langchain codebase.
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Dependency Diagram
graph TD 4dd0e1f6_a71d_6048_57d5_9b4b42c8a357["test_wrap_tool_call_modify_args()"] e783c6bd_e3d7_7d3b_e64d_d062c5c12013["test_wrap_tool_call.py"] 4dd0e1f6_a71d_6048_57d5_9b4b42c8a357 -->|defined in| e783c6bd_e3d7_7d3b_e64d_d062c5c12013 style 4dd0e1f6_a71d_6048_57d5_9b4b42c8a357 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_tool_call.py lines 115–149
def test_wrap_tool_call_modify_args() -> None:
"""Test modifying tool arguments with wrap_tool_call decorator."""
@wrap_tool_call
def modify_args(
request: ToolCallRequest, handler: Callable[[ToolCallRequest], ToolMessage | Command[Any]]
) -> ToolMessage | Command[Any]:
assert isinstance(request.tool, BaseTool)
# Modify the query argument before execution
if request.tool.name == "search":
request.tool_call["args"]["query"] = "modified query"
return handler(request)
model = FakeToolCallingModel(
tool_calls=[
[ToolCall(name="search", args={"query": "original"}, id="1")],
[],
]
)
agent = create_agent(
model=model,
tools=[search],
middleware=[modify_args],
checkpointer=InMemorySaver(),
)
result = agent.invoke(
{"messages": [HumanMessage("Search")]},
{"configurable": {"thread_id": "test"}},
)
tool_messages = [m for m in result["messages"] if isinstance(m, ToolMessage)]
assert len(tool_messages) == 1
assert "modified query" in tool_messages[0].content
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Frequently Asked Questions
What does test_wrap_tool_call_modify_args() do?
test_wrap_tool_call_modify_args() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_tool_call.py.
Where is test_wrap_tool_call_modify_args() defined?
test_wrap_tool_call_modify_args() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_tool_call.py at line 115.
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