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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

0.1.14a0

  • fix thread url for fabcon tenant

0.1.13a0

  • add support for granular quality feedback in few-shot validation and improve Dataframe output
  • fix invalid data type for delta lake

0.1.12a0

  • fix python error in the release pipeline
  • add robust few-shot validation utilities to SDK with dual LLM support and DataFrame output
  • update parameter type in add-datasource

0.1.11a0

  • upgrade OneBranch Azure Linux Build Image: Migrating from 2.0 to 3.0
  • remove "AISkill" from artifact name list due to invalid item type error in openai
  • make Data Agent and Data Source Creation Idempotent
  • add publish description
  • refactoring the evaluation apis and add code coverage
  • remove AISkill artifact type in data agent api

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

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