This release is a pre-release and may not be stable for production use.
The Fabric Data Agent SDK supports programmatic access for Fabric Data Agent artifacts.
This package is released as a preview and has been tested with Microsoft Fabric Python notebooks.
Getting started
Prerequisites
- A Microsoft Fabric subscription. Or sign up for a free Microsoft Fabric (Preview) trial.
- Sign in to Microsoft Fabric.
- Create a new notebook or a new spark job to use this package. Note that semantic link is supported only within Microsoft Fabric.
Install the fabric-data-agent-sdk package
To install the most recent version fabric-data-agent-sdk in your Fabric Python notebook kernel by executing this code in a notebook cell:
%pip install -U fabric-data-agent-sdk
Key concepts
Fabric Data Agent SDK has two main entry points:
- Data plane using OpenAI SDK for conversational interaction with an existing Data Agent artifact.
- Management plane to create, update and delete Data Agent artifacts.
Change logs
0.1.4a0
- switch to public apis for artifact management.
0.1.3a0
- add column/table descriptions for sql data sources.
- allow selection of multiple columns at once in the datasource.
- bug fix to address the run_steps response structure change.
0.1.2a0
- bugfix for fabric_openai artifact type - should support "DataAgent".
- bugfix for data source type ("datawarehouse" should be "warehouse").
0.1.1a0
- bugfix for create_data_agent where type should support "DataAgent".
0.1.0a0
- add upload_fewshots for adding multiple fewshots to DataSource.
0.0.4a0
- add evaluation APIs to the SDK
0.0.3a1
- return fewshot id from add_fewshots
- fix the aiskill stage parameter
- return datasource display name in pretty_print
- return thread object for get_or_create_thread API.
0.0.2a0
- rename module
- support Fabric get_or_create_thread to decouple from UX thread
0.0.1a0
Initial alpha release of the package.
- add: data plane client
- add: management plane client
1 maintainer
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