Skip to main content
Pre-release

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

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

0.1.10a0

  • fix get_evaluation_summary_per_question if no question fails

0.1.9a0

  • Use correct workspace context in delete_data_agent function.
  • Update notebooks with data source notes
  • display failed threads and fix percentage

0.1.8a0

  • evaluation API enhancements including parallelizing, number of variations and single thread.
  • speed-up add_ground_truth_batch and stabilise Kusto tests
  • ground-truth generation for Kusto (KQL) datasources

0.1.7a0

  • added Warehouse to list of artifact types.
  • added Method for Updating Ground Truth before Evaluation.
  • made Publish Info Optional.

0.1.6a0

  • update sdk to make compatible with both python and spark.

0.1.5a0

  • add PySpark support for the evaluation APIs.
  • added pipeline for running unit tests.

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

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fabric_data_agent_sdk-0.1.10a0.tar.gz (81.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fabric_data_agent_sdk-0.1.10a0-py3-none-any.whl (37.3 kB view details)

Uploaded Python 3

File details

Details for the file fabric_data_agent_sdk-0.1.10a0.tar.gz.

File metadata

File hashes

Hashes for fabric_data_agent_sdk-0.1.10a0.tar.gz
Algorithm Hash digest
SHA256 afea666f900e970b0395af56eea375767cad50794c4fb390639fd5e0e00d8b32
MD5 f4fb4eda087272bc34bbd267c22c2a9b
BLAKE2b-256 655f33076568b9dae57a37cec741c284a9323a9bf8facff6ec5696dbae4636fb

See more details on using hashes here.

File details

Details for the file fabric_data_agent_sdk-0.1.10a0-py3-none-any.whl.

File metadata

File hashes

Hashes for fabric_data_agent_sdk-0.1.10a0-py3-none-any.whl
Algorithm Hash digest
SHA256 36d82a52bd7e8015c3a4c25550e330c756704ea7416faebf383624fb55aa22bb
MD5 e208d13f4ed6d9a0f7006f53f27202e5
BLAKE2b-256 dbf680491773ab900d536b8b986cff83dc81b21fd6e340f85674c72b2411885d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page