test_parse_with_language() — langchain Function Reference

Architecture documentation for the test_parse_with_language() function in test_structured_chat.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ test_parse_with_language() — langchain Function Reference

Dependency Diagram

graph TD
  9ef21679_4b1a_9e6f_1d26_d55f723ff50c["test_parse_with_language()"]
  a890525c_8c6f_1157_9955_6e77e67c50fd["test_structured_chat.py"]
  9ef21679_4b1a_9e6f_1d26_d55f723ff50c -->|defined in| a890525c_8c6f_1157_9955_6e77e67c50fd
  b13e411d_df46_adca_bd89_cc0401719dde["get_action_and_input()"]
  9ef21679_4b1a_9e6f_1d26_d55f723ff50c -->|calls| b13e411d_df46_adca_bd89_cc0401719dde
  style 9ef21679_4b1a_9e6f_1d26_d55f723ff50c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/agents/test_structured_chat.py lines 32–45

def test_parse_with_language() -> None:
    llm_output = """I can use the `foo` tool to achieve the goal.

    Action:
    ```json
    {
      "action": "foo",
      "action_input": "bar"
    }
    ```
    """
    action, action_input = get_action_and_input(llm_output)
    assert action == "foo"
    assert action_input == "bar"