Ë 7 |h¡ãó†—ddlZddlmZddlmZddlmZeje«Z eddd¬«Gd „d e««Z y) éN)Úurlparse)Ú deprecated)Ú ChatMlflowz0.3.3z1.0z#databricks_langchain.ChatDatabricks)ÚsinceÚremovalÚalternative_importcóV—eZdZUdZdZeed< edefd„«Zedefd„«Z d d„Z y) ÚChatDatabricksaù`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. Example: .. code-block:: python from langchain_community.chat_models import ChatDatabricks chat_model = ChatDatabricks( target_uri="databricks", endpoint="databricks-llama-2-70b-chat", temperature=0.1, ) # single input invocation print(chat_model.invoke("What is MLflow?").content) # single input invocation with streaming response for chunk in chat_model.stream("What is MLflow?"): print(chunk.content, end="|") Ú databricksÚ target_uriÚreturncó—y)zReturn type of chat model.zdatabricks-chat©©Úselfs úi/var/www/html/test/engine/venv/lib/python3.12/site-packages/langchain_community/chat_models/databricks.pyÚ _llm_typezChatDatabricks._llm_type,s€ð!ócó—y)NÚrrs rÚ_mlflow_extraszChatDatabricks._mlflow_extras1s€àrNcó~—|jdk(ryt|j«jdk7r td«‚y)Nr zBInvalid target URI. The target URI must be a valid databricks URI.)r rÚschemeÚ ValueErrorrs rÚ _validate_urizChatDatabricks._validate_uri5s=€Ø ?‰?˜lÒ *Ø ä D—O‘OÓ $× +Ñ +¨|Ò ;ÜØTóð ð r)sLðÛÝ!å*å=à ˆ× Ñ ˜8Ó $€ñ Ø Ø Ø<ôô ,Zó,ó ñ ,r