_generate() — langchain Function Reference

Architecture documentation for the _generate() function in fake_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ _generate() — langchain Function Reference

Dependency Diagram

graph TD
  043fe2cf_c0f7_dc86_8b7a_d8c61bb7e21a["_generate()"]
  d98dc954_3307_9b92_1325_118a2e918127["ParrotFakeChatModel"]
  043fe2cf_c0f7_dc86_8b7a_d8c61bb7e21a -->|defined in| d98dc954_3307_9b92_1325_118a2e918127
  eec0b1c8_4eca_a0d5_55a8_e9909486cbb7["_generate()"]
  043fe2cf_c0f7_dc86_8b7a_d8c61bb7e21a -->|calls| eec0b1c8_4eca_a0d5_55a8_e9909486cbb7
  style 043fe2cf_c0f7_dc86_8b7a_d8c61bb7e21a fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/language_models/fake_chat_models.py lines 382–392

    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])])