The responses for textual.redact
and textual.llm_synthesis
now include:
br<
language
for each entity value.new_start
) of each entity value in the redacted content.new_end
) of each entity value in the redacted string.For uploaded file pipelines that also generate redacted files, you can now configure the handling option for each entity type.
You can now set up a pipeline to connect to a Databricks workspace. You can also configure a Databricks pipeline to generate redacted files in addition to the JSON output.
Textual can now detect values in multiple languages. Textual Cloud supports a set of non-English languages. For a self-hosted instance, you must enable multi-language support and provide the language models for Textual to use.
NOTE: This version was removed because of a regression.
Fixed an issue where pipelines failed to run.
Updated the Python SDK to add options to create pipelines, delete pipelines, upload pipeline files, and download pipeline results.
Disabled the Run Pipeline option when a pipeline does not have a configured output path.