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8bf1d91d38
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>
40 lines
895 B
YAML
40 lines
895 B
YAML
version: 2
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distribution_spec:
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description: Use (an external) Ollama server for running LLM inference
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providers:
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inference:
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- remote::ollama
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vector_io:
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- inline::faiss
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- remote::chromadb
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- remote::pgvector
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safety:
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- inline::llama-guard
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agents:
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- inline::meta-reference
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telemetry:
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- inline::meta-reference
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eval:
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- inline::meta-reference
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datasetio:
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- remote::huggingface
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- inline::localfs
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scoring:
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- inline::basic
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- inline::llm-as-judge
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- inline::braintrust
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files:
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- inline::localfs
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post_training:
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- inline::huggingface
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tool_runtime:
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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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- remote::wolfram-alpha
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image_type: conda
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additional_pip_packages:
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- aiosqlite
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- sqlalchemy[asyncio]
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