fix: rename llama_stack_api dir (#4155)

# What does this PR do?

the directory structure was src/llama-stack-api/llama_stack_api

instead it should just be src/llama_stack_api to match the other
packages.

update the structure and pyproject/linting config

---------

Signed-off-by: Charlie Doern <cdoern@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>

tests/unit/providers/vector_io/conftest.py

@@ -9,7 +9,6 @@ from unittest.mock import AsyncMock, MagicMock, patch
 
 import numpy as np
 import pytest
-from llama_stack_api import Chunk, ChunkMetadata, QueryChunksResponse, VectorStore
 
 from llama_stack.core.storage.datatypes import KVStoreReference, SqliteKVStoreConfig
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
@@ -19,6 +18,7 @@ from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import SQLiteV
 from llama_stack.providers.remote.vector_io.pgvector.config import PGVectorVectorIOConfig
 from llama_stack.providers.remote.vector_io.pgvector.pgvector import PGVectorIndex, PGVectorVectorIOAdapter
 from llama_stack.providers.utils.kvstore import register_kvstore_backends
+from llama_stack_api import Chunk, ChunkMetadata, QueryChunksResponse, VectorStore
 
 EMBEDDING_DIMENSION = 768
 COLLECTION_PREFIX = "test_collection"

tests/unit/providers/vector_io/test_faiss.py

@@ -9,13 +9,13 @@ from unittest.mock import MagicMock, patch
 
 import numpy as np
 import pytest
-from llama_stack_api import Chunk, Files, HealthStatus, QueryChunksResponse, VectorStore
 
 from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
 from llama_stack.providers.inline.vector_io.faiss.faiss import (
     FaissIndex,
     FaissVectorIOAdapter,
 )
+from llama_stack_api import Chunk, Files, HealthStatus, QueryChunksResponse, VectorStore
 
 # This test is a unit test for the FaissVectorIOAdapter class. This should only contain
 # tests which are specific to this class. More general (API-level) tests should be placed in

tests/unit/providers/vector_io/test_sqlite_vec.py

@@ -8,13 +8,13 @@ import asyncio
 
 import numpy as np
 import pytest
-from llama_stack_api import Chunk, QueryChunksResponse
 
 from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import (
     SQLiteVecIndex,
     SQLiteVecVectorIOAdapter,
     _create_sqlite_connection,
 )
+from llama_stack_api import Chunk, QueryChunksResponse
 
 # This test is a unit test for the SQLiteVecVectorIOAdapter class. This should only contain
 # tests which are specific to this class. More general (API-level) tests should be placed in

tests/unit/providers/vector_io/test_vector_io_openai_vector_stores.py

@@ -10,6 +10,8 @@ from unittest.mock import AsyncMock, patch
 
 import numpy as np
 import pytest
+
+from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import VECTOR_DBS_PREFIX
 from llama_stack_api import (
     Chunk,
     OpenAICreateVectorStoreFileBatchRequestWithExtraBody,
@@ -21,8 +23,6 @@ from llama_stack_api import (
     VectorStoreNotFoundError,
 )
 
-from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import VECTOR_DBS_PREFIX
-
 # This test is a unit test for the inline VectorIO providers. This should only contain
 # tests which are specific to this class. More general (API-level) tests should be placed in
 # tests/integration/vector_io/
@@ -255,10 +255,9 @@ async def test_insert_chunks_with_missing_document_id(vector_io_adapter):
 
 async def test_document_id_with_invalid_type_raises_error():
     """Ensure TypeError is raised when document_id is not a string."""
-    from llama_stack_api import Chunk
-
     # Integer document_id should raise TypeError
     from llama_stack.providers.utils.vector_io.vector_utils import generate_chunk_id
+    from llama_stack_api import Chunk
 
     chunk = Chunk(content="test", chunk_id=generate_chunk_id("test", "test"), metadata={"document_id": 12345})
     with pytest.raises(TypeError) as exc_info:

tests/unit/providers/vector_io/test_vector_utils.py

@@ -4,9 +4,8 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-from llama_stack_api import Chunk, ChunkMetadata
-
 from llama_stack.providers.utils.vector_io.vector_utils import generate_chunk_id
+from llama_stack_api import Chunk, ChunkMetadata
 
 # This test is a unit test for the chunk_utils.py helpers. This should only contain
 # tests which are specific to this file. More general (API-level) tests should be placed in