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feat: Updating Rag Tool to use Files API and Vector Stores API

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Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-09-06 00:44:44 -04:00
parent 47b640370e
commit ab5ab6e979
6 changed files with 93 additions and 39 deletions
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8
tests/unit/rag/test_rag_query.py
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@ -19,12 +19,16 @@ from llama_stack.providers.inline.tool_runtime.rag.memory import MemoryToolRunti
class TestRagQuery:
async def test_query_raises_on_empty_vector_db_ids(self):
rag_tool = MemoryToolRuntimeImpl(config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock())
rag_tool = MemoryToolRuntimeImpl(
config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock(), files_api=MagicMock()
)
with pytest.raises(ValueError):
await rag_tool.query(content=MagicMock(), vector_db_ids=[])
async def test_query_chunk_metadata_handling(self):
rag_tool = MemoryToolRuntimeImpl(config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock())
rag_tool = MemoryToolRuntimeImpl(
config=MagicMock(), vector_io_api=MagicMock(), inference_api=MagicMock(), files_api=MagicMock()
)
content = "test query content"
vector_db_ids = ["db1"]