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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/starter/run.yaml
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@ -163,6 +163,9 @@ providers:
- provider_id: rag-runtime
provider_type: inline::rag-runtime
config: {}
- provider_id: synthetic-data-kit
provider_type: inline::synthetic-data-kit
config: {}
- provider_id: model-context-protocol
provider_type: remote::model-context-protocol
config: {}
@ -822,5 +825,7 @@ tool_groups:
provider_id: tavily-search
- toolgroup_id: builtin::rag
provider_id: rag-runtime
- toolgroup_id: builtin::document_conversion
provider_id: synthetic-data-kit
server:
port: 8321