Changelog

1.1.26

🐛 Bug Fixes:

  • Get the latest run including both endpoints and raise an error if empty resources - TuneRuns.get_run_details()

  • Added validation of storage details in project/ space details for Container DataConnection

  • Added fs as model supported training data references type

  • Updated the cancel_run method in RAGOptimizer to avoid returning cached training details

1.1.25

🚀 Features:

  • Add cancel job to the text extractions

  • Support for Deploy on Demand

  • Added word_to_token_factor parameter to RAGPattern constructor

  • Add batch size param to embeddings

  • Updated add_documents method in milvus_adapter

🐛 Bug Fixes:

  • add batch size to dict only if customized

  • Added training data references type validation in repository.store_model

  • Disable logging NotS3Connection in one case

  • Pagination support added to lookup datasources types

  • Pagination added for datasources

1.1.24

🚀 Features:

  • Add support for IBM watsonx.data Milvus connection

  • Added method to get chat model specs with function calling support

  • Add support for achat method

🐛 Bug Fixes:

  • Improve storing AI services content

1.1.23

🚀 Features:

  • Support for Sydney watsonx.ai API endpoint

  • Add ‘Large’ option for HardwareRequestSizes

🐛 Bug Fixes:

  • Update connections to enable AutoAI RAG experiment

1.1.22

🚀 Features:

  • Adjusted ai_service support to align with recent changes in the AI services backend

  • Added deprecation warning on Model class

  • Support for writing to FSLocation

  • Add get id by name for spaces

🐛 Bug Fixes:

  • Downgraded the grpcio version to >=1.54.3

  • Remove flag from RagPattern constructor

  • Updated show schema method

  • Update text extraction delete job

  • SSL error fixed on FIPS cluster when downloading documents from COS folder

  • save Milvus’s SSL certificate file in temporary file

  • Improve error message for creating connections with invalid payload

  • Update set_api_client method

1.1.17

🚀 Features:

🐛 Bug Fixes:

  • Improved error reporting for DataConnection.read() when attempting to read from a database with the flight service disabled

  • Added a generic error message for failed attempts to download datasets due to flight service issues

  • Restricted Python version compatibility to versions below 3.13

  • Migrated dependencies to LangChain version 0.3.x

1.1.16

🚀 Features:

  • Introduced support for loading text from Markdown files in the TextLoader class

  • Added an enum for rerank models: client.foundation_models.RerankModels

  • Enhanced the get_details method with an optional name parameter

  • Implemented the set_api_client method in the ModelInference class

🐛 Bug Fixes:

  • Added 429 error handling for the set.default_project method’s project_id component

  • Improved error handling during data loading operations

  • Fixed an issue where the get_id_by_name method raised an error when no ID was found for the specified name

1.1.15

🚀 Features:

  • Introduced support for AI services

  • Added support for Rerank functionality: Rerank Documentation

  • Added support for Text Extraction results in Markdown format.

🐛 Bug Fixes:

  • Updated the route for CPD token generation for CPD versions 5.1 and above

  • Disabled AutoAI TSAD in the SDK for CPD versions starting from 5.1

1.1.14

🚀 Features:

  • Added support for the Chat API

🐛 Bug Fixes:

  • Automatically added the https:// prefix to the COS connection endpoint_url if missing.

1.1.13

🚀 Features:

  • Introduced the get_evaluation_results method in the RAGOptimizer class

  • Added support for CPD version 5.1

🐛 Bug Fixes:

  • Corrected the example value for TextExtractionsMetaNames

  • Relaxed version constraints for LangChain packages

1.1.12

🚀 Features:

  • Added the option to install langchain_community with the [rag] option

🐛 Bug Fixes:

  • Fixed an issue with DataConnection as a container folder.

  • Updated the load() method docstring in the documentation.

  • Added support for platform URLs in credentials.

1.1.11

🚀 Features:

🐛 Bug Fixes:

  • Increased batch_size reduction in AutoAI RAG experiments

1.1.10

🐛 Bug Fixes:

  • Added a timeout to DocumentsIterableDataset iteration

  • Included a private development URL in the platform map

1.1.9

🚀 Features:

  • Introduced support for Fine-Tuning

  • Added support for native asynchronous methods for model inference

1.1.8

🚀 Features:

  • Added support for MCSP

🐛 Bug Fixes:

  • Fixed an issue with reading JSON files without binary mode, resolving problems with reading Prompt Tuning files

1.1.7

🚀 Features:

  • Added a timeout for persistent connections

🐛 Bug Fixes:

  • Set a default max_sequence_length to avoid model limits errors

1.1.6

🚀 Features:

  • Added support for ConnectionAsset without a specified location

🐛 Bug Fixes:

  • Resolved an issue where model specification filters were not available in version 4.8

  • Fixed a bug related to unsupported connection types

  • Aligned logging for improved consistency

1.1.5

🚀 Features:

🐛 Bug Fixes:

  • Resolved the issue with missing python-docx

1.1.4

🚀 Features:

  • Introduced support for Hardware Request field instead of the Hardware Specification

  • Added an asynchronous generate method

  • Implemented support for the api_client parameter in DocumentIterableDataset

🐛 Bug Fixes:

  • Fixed an issue with storing TaskCredential

  • Improved de-duplication in the add_documents method of the vector store to include both text and its document ID

1.1.3

🚀 Features:

  • Introduced support for Bring Your Own Model (BYOM)

🐛 Bug Fixes:

  • Set input_shape during training, addressing issues with dataset training data

  • Removed the timeout for reading documents

  • Implemented improvements to the Documents Dataset

1.1.2

🐛 Bug Fixes:

  • Resolved an issue caused by a breaking change in setuptools version 71.0.1

1.1.1

🐛 Bug Fixes:

  • Added a setter for the ServiceInstance.details property

1.1.0

🚀 Features:

  • Added Keep-Alive functionality for FoundationModels requests

  • Introduced support for the private wml-fvt endpoint

  • Added installation support for RAG group packages

🐛 Bug Fixes:

  • Improved performance of the APIClient initialization

  • Disabled lifecycle checks when validation is turned off

  • Updated Scikit-learn for federated learning support

  • Resolved issues with reading data from NFS connections in Git-based projects

  • Changed the default behavior to read files on the cloud with Flight Service enabled

1.0.10

🚀 Features:

  • Added support for different input modes of Prompt Templates(PromptTemplate, FreeformPromptTemplate, DetachedPromptTemplate).

🐛 Bug Fixes:

  • Fixed validation for tech preview models.

  • Fixed set project for git-based-project in new scenario.

  • Fixed used filters for get_model_specs method.

1.0.9

🚀 Features:

  • Added support for tech preview models

  • Added additional information in request headers.

  • Extend VectorStore functionalities via concrete wrappers(For Vector Index notebooks)

1.0.8

🚀 Features:

  • Added validate_prompt_variables parameter to generate method in Model and ModelInference class.

  • Added hardware_spec support in Batch class.

🐛 Bug Fixes:

  • Fixed correct schema for timeseries-anomaly-prediction prediction type.

1.0.6

🐛 Bug Fixes:

  • Added more clear Error message when user pass invalid credentials.

  • Fixed “Invalid authorization token” error when initializing the client with the “USER_ACCESS_TOKEN” environment variable on a cluster

1.0.5

🚀 Features:

  • Added auto-generated Enum classes (TextModels, EmbeddingModels, PromptTunableModels) with available models

🐛 Bug Fixes:

  • Better filtering of supported runtimes for r-scripts

  • Fixed downloading model content to file

  • Improved scaling Prompt Tuning charts

  • Provided a clearer error message when a user passes an incorrect URL to the cluster

1.0.4

🚀 Features:

  • Added forecast_window parameter support for online deployment scoring

1.0.3

🚀 Features:

  • Milvus support for RAG extension

  • Autogenerated changelog

  • Travis is tagging the version during push into production

🐛 Bug Fixes:

  • Reading data assets as binary when flight is unavailable

  • next resource generator type fixed, other internal type issues fixed

  • Reading tabular dataset with non-unique columns

  • Deprecation warnings removed when using fm_model_inference

1.0.2

🚀 Features:

  • Added get and get_item methods for better compatibility with SDK v0

🐛 Bug Fixes:

  • Relaxed package version checking

  • Fixed AutoAI initialization without version in credentials

  • Fixed calls to wx endpoints in git base project

  • Fixed backward compatibility of WebService and Batch class for credentials in dictionary

1.0.1

🐛 Bug Fixes:

  • Hotfix for imports

1.0.0

🚀 Features:

  • RAGutils module added

  • Getting foundation models specs moved under foundation models object

  • Credentials as object + proxies supported

  • WCA service support

🐛 Bug Fixes:

  • Minor corrections/improvements to Foundation Models module