unitycatalog-langchain
Support for Unity Catalog functions as LangChain tools
Decision gist · record as of 2026-08-14
Yes, if you use LangChain agents and need to invoke Unity Catalog functions. The package has low install friction, permissive licensing, no known vulnerabilities, and is actively maintained. It fills a specific integration gap—making UC functions callable from agents—without adding significant complexity. Install it when you're already working with both LangChain and UC.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; also requires a running Unity Catalog server or Databricks workspace with appropriate authentication configured.
- Low friction install with three runtime dependencies (langchain, langchain-community, unitycatalog-ai).
- Actively maintained as of the latest release.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
last release 2026-04-24 (112 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,751,056 downloads/mo, #3,592 on PyPI
Alternatives
Verify before relying
pip install unitycatalog-langchain
from unitycatalog.ai.langchain.toolkit import UCFunctionToolkit
toolkit = UCFunctionToolkit(function_names=["catalog.schema.function_name"])
tools = toolkit.get_tools()- Whether the package supports LangGraph integration beyond what the description excerpt shows
- Performance characteristics when executing UC functions at scale through agents
- Compatibility guarantees with specific versions of langchain or langchain-community
What it is and what it does
This package bridges Unity Catalog functions and LangChain by wrapping UC functions as LangChain tools. It lets you register UC functions—whether hosted on a standalone UC server or in Databricks—and use them directly in LangChain agents and LLM tool-calling workflows. The toolkit handles function discovery, parameter binding, and execution, so agents can invoke UC functions as naturally as any other LangChain tool.
The package supports both generic Unity Catalog servers (via ApiClient configuration) and Databricks-managed UC (via DatabricksFunctionClient with workspace authentication). You define UC functions as Python callables or SQL, register them with the toolkit, and then pass them to LangChain agents. When an agent decides to call a UC function, the toolkit executes it and returns the result to the agent.
Use it for
- Build agents that execute data transformations or analytics queries stored as UC functions without leaving the agent loop.
- Integrate Databricks SQL UDFs into LangChain workflows for real-time data lookups or computations during agent reasoning.
- Expose custom business logic (Python or SQL functions) as tools to LLMs, allowing agents to call them on demand.
- Create multi-step agentic workflows where UC functions serve as reusable, cataloged tools alongside other LangChain integrations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use LangChain agents and need to invoke Unity Catalog functions.
The package has low install friction, permissive licensing, no known vulnerabilities, and is actively maintained. It fills a specific integration gap—making UC functions callable from agents—without adding significant complexity. Install it when you're already working with both LangChain and UC.
Install
unitycatalog-langchain on PyPI
Before you install
Low friction install with three runtime dependencies (langchain, langchain-community, unitycatalog-ai). Actively maintained as of the latest release.
Requires Python 3.10 or later; also requires a running Unity Catalog server or Databricks workspace with appropriate authentication configured.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install unitycatalog-langchain
from unitycatalog.ai.langchain.toolkit import UCFunctionToolkit
toolkit = UCFunctionToolkit(function_names=["catalog.schema.function_name"])
tools = toolkit.get_tools()Verify before relying
- Whether the package supports LangGraph integration beyond what the description excerpt shows
- Performance characteristics when executing UC functions at scale through agents
- Compatibility guarantees with specific versions of langchain or langchain-community
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageslangchain-communitylangchainunitycatalog-ai |
| Maintenance | Actively maintained 112 days since the last release |
| First released | |
| Downloads | 1,751,056 / month, #3,592 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: unitycatalog_langchain-0.4.0-py3-none-any.whl
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See also unitycatalog-openai · unitycatalog-ai · databricks-langchain · unitycatalog-client · langchain-databricks · zenpyre · langchain-cli · nvidia-nat-langchain · composio-langchain