test_loads_openai_llm() — langchain Function Reference

Architecture documentation for the test_loads_openai_llm() function in test_load.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ test_loads_openai_llm() — langchain Function Reference

Dependency Diagram

graph TD
  c9fdf70a_af7b_e2e8_9953_d8a4e1b5ddd2["test_loads_openai_llm()"]
  f594231b_8e8d_61b8_e688_99b6f31430d1["test_load.py"]
  c9fdf70a_af7b_e2e8_9953_d8a4e1b5ddd2 -->|defined in| f594231b_8e8d_61b8_e688_99b6f31430d1
  style c9fdf70a_af7b_e2e8_9953_d8a4e1b5ddd2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/unit_tests/test_load.py lines 9–21

def test_loads_openai_llm() -> None:
    llm = OpenAI(model="davinci", temperature=0.5, openai_api_key="hello", top_p=0.8)  # type: ignore[call-arg]
    llm_string = dumps(llm)
    llm2 = loads(
        llm_string,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[OpenAI],
    )

    assert llm2.dict() == llm.dict()
    llm_string_2 = dumps(llm2)
    assert llm_string_2 == llm_string
    assert isinstance(llm2, OpenAI)