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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 6fde601765
commit e56690abef
18 changed files with 230 additions and 18 deletions
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docs/source/distributions/self_hosted_distro/ollama.md
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@ -24,7 +24,7 @@ The `llamastack/distribution-ollama` distribution consists of the following prov
| safety | `inline::llama-guard` |
| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
| telemetry | `inline::meta-reference` |
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::rag-runtime`, `remote::model-context-protocol`, `remote::wolfram-alpha` |
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::rag-runtime`, `inline::synthetic-data-kit`, `remote::model-context-protocol`, `remote::wolfram-alpha` |
| vector_io | `inline::faiss`, `remote::chromadb`, `remote::pgvector` |