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feat: Add synthetic-data-kit for file_search doc conversion
This adds a `builtin::document_conversion` tool for converting documents when used with file_search that uses meta-llama/synthetic-data-kit. I also have another local implementation that uses Docling, but need to debug some segfault issues I'm hitting locally with that so pushing this first as a simpler reference implementation. Long-term I think we'll want a remote implemention here as well - like perhaps docling-serve or unstructured.io - but need to look more into that. This passes the existing `tests/verifications/openai_api/test_responses.py` but doesn't yet add any new tests for file types besides text and pdf. Signed-off-by: Ben Browning <bbrownin@redhat.com>
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@ -38,6 +38,7 @@ distribution_spec:
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- remote::brave-search
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- remote::tavily-search
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- inline::rag-runtime
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- inline::synthetic-data-kit
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- remote::model-context-protocol
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image_type: conda
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additional_pip_packages:
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