generate_prompt() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ generate_prompt() — langchain Function Reference

Dependency Diagram

graph TD
  c73294e8_26c4_ecd0_fa53_ec6d0a9c6c56["generate_prompt()"]
  f5a29046_740d_1358_3615_8cc689b26ca9["BaseLanguageModel"]
  c73294e8_26c4_ecd0_fa53_ec6d0a9c6c56 -->|defined in| f5a29046_740d_1358_3615_8cc689b26ca9
  style c73294e8_26c4_ecd0_fa53_ec6d0a9c6c56 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/langchain_core/language_models/base.py lines 207–248

    def generate_prompt(
        self,
        prompts: list[PromptValue],
        stop: list[str] | None = None,
        callbacks: Callbacks = None,
        **kwargs: Any,
    ) -> LLMResult:
        """Pass a sequence of prompts to the model and return model generations.

        This method should make use of batched calls for models that expose a batched
        API.

        Use this method when you want to:

        1. Take advantage of batched calls,
        2. Need more output from the model than just the top generated value,
        3. Are building chains that are agnostic to the underlying language model
            type (e.g., pure text completion models vs chat models).

        Args:
            prompts: List of `PromptValue` objects.

                A `PromptValue` is an object that can be converted to match the format
                of any language model (string for pure text generation models and
                `BaseMessage` objects for chat models).
            stop: Stop words to use when generating.

                Model output is cut off at the first occurrence of any of these
                substrings.
            callbacks: `Callbacks` to pass through.

                Used for executing additional functionality, such as logging or
                streaming, throughout generation.
            **kwargs: Arbitrary additional keyword arguments.

                These are usually passed to the model provider API call.

        Returns:
            An `LLMResult`, which contains a list of candidate `Generation` objects for
                each input prompt and additional model provider-specific output.

        """