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feat: Add synthetic-data-kit for file_search doc conversion

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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>
This commit is contained in:
Ben Browning 2025-06-20 18:09:14 -04:00
parent 9baa16e498
commit 8bf1d91d38
18 changed files with 230 additions and 18 deletions
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5
llama_stack/templates/ollama/ollama.py
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@ -36,6 +36,7 @@ def get_distribution_template() -> DistributionTemplate:
"remote::brave-search",
"remote::tavily-search",
"inline::rag-runtime",
"inline::synthetic-data-kit",
"remote::model-context-protocol",
"remote::wolfram-alpha",
],
@ -91,6 +92,10 @@ def get_distribution_template() -> DistributionTemplate:
toolgroup_id="builtin::wolfram_alpha",
provider_id="wolfram-alpha",
),
ToolGroupInput(
toolgroup_id="builtin::document_conversion",
provider_id="synthetic-data-kit",
),
]
return DistributionTemplate(