test_chat_model_inputs() — langchain Function Reference

Architecture documentation for the test_chat_model_inputs() function in test_fake_chat_model.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_chat_model_inputs() — langchain Function Reference

Dependency Diagram

graph TD
  df10f9c0_f5ea_96a6_804e_e54dd6d58425["test_chat_model_inputs()"]
  06318702_96e4_1032_1475_4dde8fe1f643["test_fake_chat_model.py"]
  df10f9c0_f5ea_96a6_804e_e54dd6d58425 -->|defined in| 06318702_96e4_1032_1475_4dde8fe1f643
  style df10f9c0_f5ea_96a6_804e_e54dd6d58425 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/fake/test_fake_chat_model.py lines 218–227

def test_chat_model_inputs() -> None:
    fake = ParrotFakeChatModel()

    assert cast("HumanMessage", fake.invoke("hello")) == _any_id_human_message(
        content="hello"
    )
    assert fake.invoke([("ai", "blah")]) == _any_id_ai_message(content="blah")
    assert fake.invoke([AIMessage(content="blah")]) == _any_id_ai_message(
        content="blah"
    )