ParrotFakeChatModel Class — langchain Architecture

Architecture documentation for the ParrotFakeChatModel class in fake_chat_models.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  c95fdd0f_97a9_1be2_e19d_0c8d39881659["ParrotFakeChatModel"]
  d009a608_c505_bd50_7200_0de8a69ba4b7["BaseChatModel"]
  c95fdd0f_97a9_1be2_e19d_0c8d39881659 -->|extends| d009a608_c505_bd50_7200_0de8a69ba4b7
  625e90ff_0acf_2872_ee23_0e50b0ab92ed["fake_chat_models.py"]
  c95fdd0f_97a9_1be2_e19d_0c8d39881659 -->|defined in| 625e90ff_0acf_2872_ee23_0e50b0ab92ed
  1755c779_1f28_e024_4a31_5a4b1fe8fe4d["_generate()"]
  c95fdd0f_97a9_1be2_e19d_0c8d39881659 -->|method| 1755c779_1f28_e024_4a31_5a4b1fe8fe4d
  69aba29b_1202_0e7e_7be8_d6772abab581["_llm_type()"]
  c95fdd0f_97a9_1be2_e19d_0c8d39881659 -->|method| 69aba29b_1202_0e7e_7be8_d6772abab581

Relationship Graph

Source Code

libs/core/langchain_core/language_models/fake_chat_models.py lines 374–396

class ParrotFakeChatModel(BaseChatModel):
    """Generic fake chat model that can be used to test the chat model interface.

    * Chat model should be usable in both sync and async tests

    """

    @override
    def _generate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: CallbackManagerForLLMRun | None = None,
        **kwargs: Any,
    ) -> ChatResult:
        if not messages:
            msg = "messages list cannot be empty."
            raise ValueError(msg)
        return ChatResult(generations=[ChatGeneration(message=messages[-1])])

    @property
    def _llm_type(self) -> str:
        return "parrot-fake-chat-model"