test_chat_prompt_template_with_messages() — langchain Function Reference

Architecture documentation for the test_chat_prompt_template_with_messages() function in test_chat.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_chat_prompt_template_with_messages() — langchain Function Reference

Dependency Diagram

graph TD
  1ed5e012_45eb_912b_3edf_3101e6efadff["test_chat_prompt_template_with_messages()"]
  00c8bbe0_a31c_1ac8_487a_bfd5a9d6b117["test_chat.py"]
  1ed5e012_45eb_912b_3edf_3101e6efadff -->|defined in| 00c8bbe0_a31c_1ac8_487a_bfd5a9d6b117
  style 1ed5e012_45eb_912b_3edf_3101e6efadff fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/prompts/test_chat.py lines 641–662

def test_chat_prompt_template_with_messages(
    messages: list[BaseMessagePromptTemplate],
) -> None:
    chat_prompt_template = ChatPromptTemplate.from_messages(
        [
            *messages,
            HumanMessage(content="foo"),
        ]
    )
    assert sorted(chat_prompt_template.input_variables) == sorted(
        [
            "context",
            "foo",
            "bar",
        ]
    )
    assert len(chat_prompt_template.messages) == 5
    prompt_value = chat_prompt_template.format_prompt(
        context="see", foo="this", bar="magic"
    )
    prompt_value_messages = prompt_value.to_messages()
    assert prompt_value_messages[-1] == HumanMessage(content="foo")