Source code for langchain_core.prompt_values

"""**Prompt values** for language model prompts.

Prompt values are used to represent different pieces of prompts.
They can be used to represent text, images, or chat message pieces.
"""

from __future__ import annotations

from abc import ABC, abstractmethod
from collections.abc import Sequence
from typing import Literal, cast

from typing_extensions import TypedDict

from langchain_core.load.serializable import Serializable
from langchain_core.messages import (
    AnyMessage,
    BaseMessage,
    HumanMessage,
    get_buffer_string,
)




class PromptValue(Serializable, ABC):
    """Base abstract class for inputs to any language model.

    PromptValues can be converted to both LLM (pure text-generation) inputs and
    ChatModel inputs.
    """

    @classmethod
    def is_lc_serializable(cls) -> bool:
        """Return whether this class is serializable. Defaults to True."""
        return True

    @classmethod
    def get_lc_namespace(cls) -> list[str]:
        """Get the namespace of the langchain object.
        This is used to determine the namespace of the object when serializing.
        Defaults to ["langchain", "schema", "prompt"].
        """
        return ["langchain", "schema", "prompt"]



    @abstractmethod
    def to_string(self) -> str:
        """Return prompt value as string."""




    @abstractmethod
    def to_messages(self) -> list[BaseMessage]:
        """Return prompt as a list of Messages."""






class StringPromptValue(PromptValue):
    """String prompt value."""

    text: str
    """Prompt text."""
    type: Literal["StringPromptValue"] = "StringPromptValue"

    @classmethod
    def get_lc_namespace(cls) -> list[str]:
        """Get the namespace of the langchain object.
        This is used to determine the namespace of the object when serializing.
        Defaults to ["langchain", "prompts", "base"].
        """
        return ["langchain", "prompts", "base"]



    def to_string(self) -> str:
        """Return prompt as string."""
        return self.text




    def to_messages(self) -> list[BaseMessage]:
        """Return prompt as messages."""
        return [HumanMessage(content=self.text)]






class ChatPromptValue(PromptValue):
    """Chat prompt value.

    A type of a prompt value that is built from messages.
    """

    messages: Sequence[BaseMessage]
    """List of messages."""



    def to_string(self) -> str:
        """Return prompt as string."""
        return get_buffer_string(self.messages)




    def to_messages(self) -> list[BaseMessage]:
        """Return prompt as a list of messages."""
        return list(self.messages)


    @classmethod
    def get_lc_namespace(cls) -> list[str]:
        """Get the namespace of the langchain object.
        This is used to determine the namespace of the object when serializing.
        Defaults to ["langchain", "prompts", "chat"].
        """
        return ["langchain", "prompts", "chat"]





class ImageURL(TypedDict, total=False):
    """Image URL."""

    detail: Literal["auto", "low", "high"]
    """Specifies the detail level of the image. Defaults to "auto".
    Can be "auto", "low", or "high"."""

    url: str
    """Either a URL of the image or the base64 encoded image data."""





class ImagePromptValue(PromptValue):
    """Image prompt value."""

    image_url: ImageURL
    """Image URL."""
    type: Literal["ImagePromptValue"] = "ImagePromptValue"



    def to_string(self) -> str:
        """Return prompt (image URL) as string."""
        return self.image_url["url"]




    def to_messages(self) -> list[BaseMessage]:
        """Return prompt (image URL) as messages."""
        return [HumanMessage(content=[cast(dict, self.image_url)])]






class ChatPromptValueConcrete(ChatPromptValue):
    """Chat prompt value which explicitly lists out the message types it accepts.
    For use in external schemas."""

    messages: Sequence[AnyMessage]
    """Sequence of messages."""

    type: Literal["ChatPromptValueConcrete"] = "ChatPromptValueConcrete"

    @classmethod
    def get_lc_namespace(cls) -> list[str]:
        """Get the namespace of the langchain object.
        This is used to determine the namespace of the object when serializing.
        Defaults to ["langchain", "prompts", "chat"].
        """
        return ["langchain", "prompts", "chat"]