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test_multiple_agent_actions_observations() — langchain Function Reference

Architecture documentation for the test_multiple_agent_actions_observations() function in test_xml.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  56fab707_944b_8ed2_71eb_0bbd72d22354["test_multiple_agent_actions_observations()"]
  8e952513_6b41_3d5a_f5ac_e4a1e0bd30b1["test_xml.py"]
  56fab707_944b_8ed2_71eb_0bbd72d22354 -->|defined in| 8e952513_6b41_3d5a_f5ac_e4a1e0bd30b1
  style 56fab707_944b_8ed2_71eb_0bbd72d22354 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/agents/format_scratchpad/test_xml.py lines 20–36

def test_multiple_agent_actions_observations() -> None:
    # Arrange
    agent_action1 = AgentAction(tool="Tool1", tool_input="Input1", log="Log1")
    agent_action2 = AgentAction(tool="Tool2", tool_input="Input2", log="Log2")
    observation1 = "Observation1"
    observation2 = "Observation2"
    intermediate_steps = [(agent_action1, observation1), (agent_action2, observation2)]

    # Act
    result = format_xml(intermediate_steps)

    # Assert
    expected_result = """<tool>Tool1</tool><tool_input>Input1\
</tool_input><observation>Observation1</observation><tool>\
Tool2</tool><tool_input>Input2</tool_input><observation>\
Observation2</observation>"""
    assert result == expected_result

Domain

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Defined In

Source

Frequently Asked Questions

What does test_multiple_agent_actions_observations() do?
test_multiple_agent_actions_observations() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/agents/format_scratchpad/test_xml.py.
Where is test_multiple_agent_actions_observations() defined?
test_multiple_agent_actions_observations() is defined in libs/langchain/tests/unit_tests/agents/format_scratchpad/test_xml.py at line 20.

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