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Deprecate langhchain community ucfunctiontoolkit in favor for databricks_langchain (#29746)
Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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@ -66,21 +66,20 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from databricks.sdk import WorkspaceClient\n",
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"from databricks_langchain.uc_ai import (\n",
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"from langchain_community.tools.databricks import UCFunctionToolkit\n",
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" DatabricksFunctionClient,\n",
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" UCFunctionToolkit,\n",
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" set_uc_function_client,\n",
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")\n",
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"\n",
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"\n",
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"tools = (\n",
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"client = DatabricksFunctionClient()\n",
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" UCFunctionToolkit(\n",
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"set_uc_function_client(client)\n",
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" # You can find the SQL warehouse ID in its UI after creation.\n",
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"\n",
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" warehouse_id=\"xxxx123456789\"\n",
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"tools = UCFunctionToolkit(\n",
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" )\n",
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" # Include functions as tools using their qualified names.\n",
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" .include(\n",
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" # You can use \"{catalog_name}.{schema_name}.*\" to get all functions in a schema.\n",
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" # Include functions as tools using their qualified names.\n",
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" function_names=[\"main.tools.python_exec\"]\n",
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" # You can use \"{catalog_name}.{schema_name}.*\" to get all functions in a schema.\n",
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").tools"
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" \"main.tools.python_exec\",\n",
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" )\n",
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" .get_tools()\n",
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")"
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]
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]
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},
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},
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{
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{
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@ -4,6 +4,7 @@ from decimal import Decimal
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from hashlib import md5
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from hashlib import md5
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type, Union
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from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type, Union
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from langchain_core._api import deprecated
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from langchain_core.tools import BaseTool, StructuredTool
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from langchain_core.tools import BaseTool, StructuredTool
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from langchain_core.tools.base import BaseToolkit
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from langchain_core.tools.base import BaseToolkit
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from pydantic import BaseModel, Field, create_model
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from pydantic import BaseModel, Field, create_model
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@ -131,6 +132,11 @@ def _get_default_workspace_client() -> Any:
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return WorkspaceClient()
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return WorkspaceClient()
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@deprecated(
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since="0.3.18",
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removal="1.0",
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alternative_import="databricks_langchain.uc_ai.UCFunctionToolkit",
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)
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class UCFunctionToolkit(BaseToolkit):
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class UCFunctionToolkit(BaseToolkit):
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warehouse_id: str = Field(
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warehouse_id: str = Field(
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description="The ID of a Databricks SQL Warehouse to execute functions."
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description="The ID of a Databricks SQL Warehouse to execute functions."
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