Home / Function/ test_tool_usage() — langchain Function Reference

test_tool_usage() — langchain Function Reference

Architecture documentation for the test_tool_usage() function in test_json.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  797392d9_87ff_d009_07e3_22b0a0bf78b5["test_tool_usage()"]
  67815222_b543_3a57_2b15_f724f1404204["test_json.py"]
  797392d9_87ff_d009_07e3_22b0a0bf78b5 -->|defined in| 67815222_b543_3a57_2b15_f724f1404204
  style 797392d9_87ff_d009_07e3_22b0a0bf78b5 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/langchain/tests/unit_tests/agents/output_parsers/test_json.py lines 6–16

def test_tool_usage() -> None:
    parser = JSONAgentOutputParser()
    _input = """    ```
{
  "action": "search",
  "action_input": "2+2"
}
```"""
    output = parser.invoke(_input)
    expected_output = AgentAction(tool="search", tool_input="2+2", log=_input)
    assert output == expected_output

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Frequently Asked Questions

What does test_tool_usage() do?
test_tool_usage() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/agents/output_parsers/test_json.py.
Where is test_tool_usage() defined?
test_tool_usage() is defined in libs/langchain/tests/unit_tests/agents/output_parsers/test_json.py at line 6.

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