generate_prompt() — langchain Function Reference

Architecture documentation for the generate_prompt() function in chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1 called by 1

Entity Profile

LangChainCore→ LanguageModelBase→ generate_prompt() — langchain Function Reference

Dependency Diagram

graph TD
  95588b98_6ef2_2032_685f_e8b8a20fe91c["generate_prompt()"]
  48aa29b8_65e7_522f_a445_a441eeb6baff["BaseChatModel"]
  95588b98_6ef2_2032_685f_e8b8a20fe91c -->|defined in| 48aa29b8_65e7_522f_a445_a441eeb6baff
  f961f0c9_5051_8b77_5e6c_256782a5be2a["invoke()"]
  f961f0c9_5051_8b77_5e6c_256782a5be2a -->|calls| 95588b98_6ef2_2032_685f_e8b8a20fe91c
  0ef74a8b_6fbe_eae4_e552_b56b1ab32fea["generate()"]
  95588b98_6ef2_2032_685f_e8b8a20fe91c -->|calls| 0ef74a8b_6fbe_eae4_e552_b56b1ab32fea
  style 95588b98_6ef2_2032_685f_e8b8a20fe91c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/language_models/chat_models.py lines 1113–1121

    def generate_prompt(
        self,
        prompts: list[PromptValue],
        stop: list[str] | None = None,
        callbacks: Callbacks = None,
        **kwargs: Any,
    ) -> LLMResult:
        prompt_messages = [p.to_messages() for p in prompts]
        return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)