Source code for langchain_community.chat_models.databricks
import logging
from urllib.parse import urlparse
from langchain_community.chat_models.mlflow import ChatMlflow
logger = logging.getLogger(__name__)
[docs]class ChatDatabricks(ChatMlflow):
    """`Databricks` chat models API.
    To use, you should have the ``mlflow`` python package installed.
    For more information, see https://mlflow.org/docs/latest/llms/deployments/databricks.html.
    Example:
        .. code-block:: python
            from langchain_community.chat_models import ChatDatabricks
            chat = ChatDatabricks(
                target_uri="databricks",
                endpoint="chat",
                temperature-0.1,
            )
    """
    target_uri: str = "databricks"
    """The target URI to use. Defaults to ``databricks``."""
    @property
    def _llm_type(self) -> str:
        """Return type of chat model."""
        return "databricks-chat"
    @property
    def _mlflow_extras(self) -> str:
        return ""
    def _validate_uri(self) -> None:
        if self.target_uri == "databricks":
            return
        if urlparse(self.target_uri).scheme != "databricks":
            raise ValueError(
                "Invalid target URI. The target URI must be a valid databricks URI."
            )