chore(deps-dev): bump haystack-ai from 2.0.0 to 2.1.2 in /packages/opentelemetry-instrumentation-haystack

[dependabot]

Bumps haystack-ai from 2.0.0 to 2.1.2.

Release notes

Sourced from haystack-ai's releases.

v2.1.2

Release Notes

v2.1.2

⚡️ Enhancement Notes

• 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.

🐛 Bug Fixes

• 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.

v2.1.1

Release Notes

v2.1.1

⚡️ Enhancement Notes

• Make SparseEmbedding a dataclass, this makes it easier to use the class with Pydantic

🐛 Bug Fixes

• Fix the broken serialization of HuggingFaceAPITextEmbedder, HuggingFaceAPIDocumentEmbedder, HuggingFaceAPIGenerator, and HuggingFaceAPIChatGenerator.
• Add to_dict method to DocumentRecallEvaluator to allow proper serialization of the component.

v2.1.1-rc1

Release Notes

v2.1.1-rc1

⚡️ Enhancement Notes

• Make SparseEmbedding a dataclass, this makes it easier to use the class with Pydantic

🐛 Bug Fixes

• Fix the broken serialization of HuggingFaceAPITextEmbedder, HuggingFaceAPIDocumentEmbedder, HuggingFaceAPIGenerator, and HuggingFaceAPIChatGenerator.
• Add to_dict method to DocumentRecallEvaluator to allow proper serialization of the component.

v2.1.0

Release Notes

Highlights

... (truncated)

Commits

• 9b22100 update version
• 9390724 update version
• 2bd8382 update version
• 401b121 fix: Fix NamedEntityExtractor serde (#7684)
• f19934b fix: Adjust serialization to handle PEP-585 generic types (#7690)
• dfc243c fix: Adding missing component decorator to AzureOpenAIGenerator (#7698)
• 0082ae6 fix: avoid FaithfulnessEvaluator and ContextRelevanceEvaluator return Nan (...
• 96da73e fix: Pipeline.run correctly returns all outputs when the `include_outputs_f...
• 498649e fix: forcing response format to be JSON valid (#7692)
• 68ff022 fix: Update device deserialization for components that use local models (#7686)
• Additional commits viewable in compare view

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[dependabot]

The following labels could not be found: opentelemetry-instrumentation-haystack.