_generate() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

LangChainCore→ LanguageModelBase→ _generate() — langchain Function Reference

Dependency Diagram

graph TD
  7c73e682_15a3_ca6c_8fa5_c3b5fcdcc428["_generate()"]
  e4e0a22b_f66c_4be3_2ea6_e05618b90cc3["ModelWithGenerate"]
  7c73e682_15a3_ca6c_8fa5_c3b5fcdcc428 -->|defined in| e4e0a22b_f66c_4be3_2ea6_e05618b90cc3
  7b918b75_34bd_cdfb_d0af_eed187c139b3["_generate()"]
  7c73e682_15a3_ca6c_8fa5_c3b5fcdcc428 -->|calls| 7b918b75_34bd_cdfb_d0af_eed187c139b3
  style 7c73e682_15a3_ca6c_8fa5_c3b5fcdcc428 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/language_models/chat_models/test_base.py lines 188–198

        def _generate(
            self,
            messages: list[BaseMessage],
            stop: list[str] | None = None,
            run_manager: CallbackManagerForLLMRun | None = None,
            **kwargs: Any,
        ) -> ChatResult:
            """Top Level call."""
            message = AIMessage(content="hello")
            generation = ChatGeneration(message=message)
            return ChatResult(generations=[generation])