test_agent_tool_return_direct_in_intermediate_steps() — langchain Function Reference
Architecture documentation for the test_agent_tool_return_direct_in_intermediate_steps() function in test_agent.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 70eb4976_d91a_0af1_9e76_d5acfa20885b["test_agent_tool_return_direct_in_intermediate_steps()"] 47a7b285_8e60_f78f_282d_429958c446fa["test_agent.py"] 70eb4976_d91a_0af1_9e76_d5acfa20885b -->|defined in| 47a7b285_8e60_f78f_282d_429958c446fa style 70eb4976_d91a_0af1_9e76_d5acfa20885b fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/tests/unit_tests/agents/test_agent.py lines 342–370
def test_agent_tool_return_direct_in_intermediate_steps() -> None:
"""Test agent using tools that return directly."""
tool = "Search"
responses = [
f"FooBarBaz\nAction: {tool}\nAction Input: misalignment",
"Oh well\nFinal Answer: curses foiled again",
]
fake_llm = FakeListLLM(responses=responses)
tools = [
Tool(
name="Search",
func=lambda x: x,
description="Useful for searching",
return_direct=True,
),
]
agent = initialize_agent(
tools,
fake_llm,
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
return_intermediate_steps=True,
)
resp = agent("when was langchain made")
assert isinstance(resp, dict)
assert resp["output"] == "misalignment"
assert len(resp["intermediate_steps"]) == 1
action, _action_intput = resp["intermediate_steps"][0]
assert action.tool == "Search"
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Source
Frequently Asked Questions
What does test_agent_tool_return_direct_in_intermediate_steps() do?
test_agent_tool_return_direct_in_intermediate_steps() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/agents/test_agent.py.
Where is test_agent_tool_return_direct_in_intermediate_steps() defined?
test_agent_tool_return_direct_in_intermediate_steps() is defined in libs/langchain/tests/unit_tests/agents/test_agent.py at line 342.
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