Update haystack-ai requirement from >=2.9.0 to >=2.30.0

[dependabot]

Updates the requirements on haystack-ai to permit the latest version.

Release notes

Sourced from haystack-ai's releases.

v2.30.0

⭐️ Highlights

🐍 Syntax-aware Python code splitting with PythonCodeSplitter

The new PythonCodeSplitter is a syntax-aware splitter for Python source files, built for code-RAG and code-search pipelines where naive line-based splitting tends to cut through functions and lose structural context. It parses sources with the ast module and greedily merges units, such as module docstring, import blocks, top-level functions, class headers, methods, and nested classes, into chunks of roughly max_effective_lines, keeping whole functions and methods together. For functions that exceed oversized_factor * max_effective_lines, it falls back to a line-based secondary split with overlap.

Two options make the resulting chunks more useful downstream: strip_docstrings=True moves docstrings into chunk metadata, and preserve_class_definition=True prepends the enclosing class signature to chunks whose members live in a later chunk. Each chunk also carries rich metadata including start_line, end_line, unit_kinds, include_classes, decorators, docstrings, source_id, and split_id.

from haystack.components.preprocessors import PythonCodeSplitter
splitter = PythonCodeSplitter(
max_effective_lines=80,
strip_docstrings=True,
preserve_class_definition=True,
)
result = splitter.run(documents=[doc])

💬 Pass a plain string to any ChatGenerator

All Haystack ChatGenerator components now accept a plain string for the messages parameter in addition to a list of ChatMessage objects. The string is automatically wrapped in a ChatMessage with the user role. This makes switching from a Generator to a ChatGenerator a one-line change. The change applies to AzureOpenAIChatGenerator, AzureOpenAIResponsesChatGenerator, FallbackChatGenerator, HuggingFaceAPIChatGenerator, HuggingFaceLocalChatGenerator, OpenAIChatGenerator, and OpenAIResponsesChatGenerator, and will soon be rolled out to the ChatGenerators in Haystack Core Integrations.

from haystack.components.generators.chat import OpenAIChatGenerator
generator = OpenAIChatGenerator()
passing a string is equivalent to passing [ChatMessage.from_user("...")]
response = generator.run("What's Natural Language Processing?")
print(response["replies"][0].text)

⬆️ Upgrade Notes

• DALLEImageGenerator has been updated to account for OpenAI's retirement of the DALL-E models. The default model is now gpt-image-2 (previously dall-e-3). To migrate:

  • Update model value: besides gpt-image-2, gpt-image-1 and gpt-image-1-mini are also supported.
  • Update quality value: the new accepted values are auto, high, medium, or low (previously standard or hd).
  • Update size value: the new accepted values are 1024x1024, 1024x1536, 1536x1024, or auto. gpt-image-2 also supports arbitrary sizes.
  • The response_format parameter is now ignored. The component always returns base64-encoded JSON.

• LLM.run and LLM.run_async no longer accept messages and streaming_callback as positional arguments — they must now be passed as keyword arguments. Update any direct calls accordingly:

  # Before
  llm.run([message], my_callback)
  After

... (truncated)

Commits

• cdd105e bump version to 2.30.0
• b24edf7 bump version to 2.30.0-rc1
• 817cecf ci: fix release branch-off permissions and gate releases on maintainer role (...
• 41c2722 test: use 'is None' instead of '== None' (CodeQL py/test-equals-none) (#11483)
• b89ce54 ci: remove Datadog CI metrics workflow (#11481)
• 53efaf3 docs: sync Haystack API reference on Docusaurus (#11479)
• 6ed5d86 docs: sync Haystack API reference on Docusaurus (#11478)
• 85e183f fix: better error message for llm metadata extractor (#11477)
• 1661601 fix: pagination error too many values to unpack (#11475)
• e8ebfb4 build(deps): bump int128/datadog-actions-metrics from 1.166.0 to 1.167.0 (#11...
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