Release Notes

v2.1.2

Enforce JSON mode on OpenAI LLM-based evaluators so that the they always return valid JSON output. This is to ensure that the output is always in a consistent format, regardless of the input.

FaithfullnessEvaluator and ContextRelevanceEvaluator now return 0 instead of NaN when applied to an empty context or empty statements.
Azure generators components fixed, they were missing the @component decorator.
Updates the from_dict method of SentenceTransformersTextEmbedder, SentenceTransformersDocumentEmbedder, NamedEntityExtractor, SentenceTransformersDiversityRanker and LocalWhisperTranscriber to allow None as a valid value for device when deserializing from a YAML file. This allows a deserialized pipeline to auto-determine what device to use using the ComponentDevice.resolve_device logic.
Improves/fixes type serialization of PEP 585 types (e.g. list[Document], and their nested version). This improvement enables better serialization of generics and nested types and improves/fixes matching of list[X] and List[X]` types in component connections after serialization.
Fixed (de)serialization of NamedEntityExtractor. Includes updated tests verifying these fixes when NamedEntityExtractor is used in pipelines.
The include_outputs_from parameter in Pipeline.run correctly returns outputs of components with multiple outputs.