_generate() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ _generate() — langchain Function Reference

Dependency Diagram

graph TD
  bba57080_8949_db45_736a_e8f9fb0fa832["_generate()"]
  84cca705_1eaa_cf41_ae6b_9059440df4c8["FakeToolCallingModel"]
  bba57080_8949_db45_736a_e8f9fb0fa832 -->|defined in| 84cca705_1eaa_cf41_ae6b_9059440df4c8
  style bba57080_8949_db45_736a_e8f9fb0fa832 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/tests/unit_tests/middleware/test_prompt_caching.py lines 29–39

    def _generate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: CallbackManagerForLLMRun | None = None,
        **kwargs: Any,
    ) -> ChatResult:
        """Top Level call"""
        messages_string = "-".join([str(m.content) for m in messages])
        message = AIMessage(content=messages_string, id="0")
        return ChatResult(generations=[ChatGeneration(message=message)])