Official Python library for Databricks AI support
Reason this release was yanked:
Dependency databricks-ai-bridge==0.4.2 introduced a breaking change
Project description
Databricks AI Bridge library
The Databricks AI Bridge library provides a shared layer of APIs to interact with Databricks AI features, such as Databricks AI/BI Genie and Vector Search. Use these packages to help author agents with Agent Framework on Databricks.
Integration Packages
If you are using LangChain/LangGraph or the OpenAI SDK, we provide these integration packages for seamless integration of Databricks AI features.
databricks-langchain- For LangChain/LangGraph usersdatabricks-openai- For OpenAI SDK users
Installation
If you're using LangChain/LangGraph or OpenAI:
pip install databricks-langchain
pip install databricks-openai
For frameworks without dedicated integration packages:
pip install databricks-ai-bridge
Install from source
With https:
# For LangChain/LangGraph users (recommended):
pip install git+https://git@github.com/databricks/databricks-ai-bridge.git#subdirectory=integrations/langchain
# For OpenAI users (recommended):
pip install git+https://git@github.com/databricks/databricks-ai-bridge.git#subdirectory=integrations/openai
# Generic installation (only if needed):
pip install git+https://git@github.com/databricks/databricks-ai-bridge.git
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file databricks_ai_bridge-0.4.2-py3-none-any.whl.
File metadata
- Download URL: databricks_ai_bridge-0.4.2-py3-none-any.whl
- Upload date:
- Size: 15.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e733510d5e9279b175c62fb13d5e89bbae1d0d79b85fa68422eb0481231d4479
|
|
| MD5 |
5d4c3bdf22fc15e54d34b78f10b37e18
|
|
| BLAKE2b-256 |
a16fbd2f6fa538464b9fa7781f4c2ef6b28bbcc32ea113885ae4423e7756e322
|