test_openai_model_param() — langchain Function Reference

Architecture documentation for the test_openai_model_param() function in test_base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_openai_model_param() — langchain Function Reference

Dependency Diagram

graph TD
  5356da5e_9655_9bf6_db1c_09181ad2699b["test_openai_model_param()"]
  48232d20_f8c1_b597_14fa_7dc407e9bfe5["test_base.py"]
  5356da5e_9655_9bf6_db1c_09181ad2699b -->|defined in| 48232d20_f8c1_b597_14fa_7dc407e9bfe5
  style 5356da5e_9655_9bf6_db1c_09181ad2699b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/unit_tests/chat_models/test_base.py lines 86–95

def test_openai_model_param() -> None:
    llm = ChatOpenAI(model="foo")
    assert llm.model_name == "foo"
    llm = ChatOpenAI(model_name="foo")  # type: ignore[call-arg]
    assert llm.model_name == "foo"

    llm = ChatOpenAI(max_tokens=10)  # type: ignore[call-arg]
    assert llm.max_tokens == 10
    llm = ChatOpenAI(max_completion_tokens=10)
    assert llm.max_tokens == 10