fix: Update VectorIO config classes in registry (#1079)

This was missed in https://github.com/meta-llama/llama-stack/pull/1023. 

```
Traceback (most recent call last):
  File "/home/yutang/.conda/envs/distribution-myenv/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/yutang/.conda/envs/distribution-myenv/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/server/server.py", line 488, in <module>
    main()
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/server/server.py", line 389, in main
    impls = asyncio.run(construct_stack(config))
  File "/home/yutang/.conda/envs/distribution-myenv/lib/python3.10/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/home/yutang/.conda/envs/distribution-myenv/lib/python3.10/asyncio/base_events.py", line 649, in run_until_complete
    return future.result()
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/stack.py", line 202, in construct_stack
    impls = await resolve_impls(run_config, provider_registry or get_provider_registry(), dist_registry)
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/resolver.py", line 230, in resolve_impls
    impl = await instantiate_provider(
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/resolver.py", line 312, in instantiate_provider
    config_type = instantiate_class_type(provider_spec.config_class)
  File "/home/yutang/repos/llama-stack/llama_stack/distribution/utils/dynamic.py", line 13, in instantiate_class_type
    return getattr(module, class_name)
AttributeError: module 'llama_stack.providers.inline.vector_io.faiss' has no attribute 'FaissImplConfig'

```

---------

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>

llama_stack/providers/registry/vector_io.py

@@ -42,7 +42,7 @@ def available_providers() -> List[ProviderSpec]:
             provider_type="inline::meta-reference",
             pip_packages=EMBEDDING_DEPS + ["faiss-cpu"],
             module="llama_stack.providers.inline.vector_io.faiss",
-            config_class="llama_stack.providers.inline.vector_io.faiss.FaissImplConfig",
+            config_class="llama_stack.providers.inline.vector_io.faiss.FaissVectorIOConfig",
             deprecation_warning="Please use the `inline::faiss` provider instead.",
             api_dependencies=[Api.inference],
         ),
@@ -51,7 +51,7 @@ def available_providers() -> List[ProviderSpec]:
             provider_type="inline::faiss",
             pip_packages=EMBEDDING_DEPS + ["faiss-cpu"],
             module="llama_stack.providers.inline.vector_io.faiss",
-            config_class="llama_stack.providers.inline.vector_io.faiss.FaissImplConfig",
+            config_class="llama_stack.providers.inline.vector_io.faiss.FaissVectorIOConfig",
             api_dependencies=[Api.inference],
         ),
         InlineProviderSpec(
@@ -68,7 +68,7 @@ def available_providers() -> List[ProviderSpec]:
                 adapter_type="chromadb",
                 pip_packages=EMBEDDING_DEPS + ["chromadb-client"],
                 module="llama_stack.providers.remote.vector_io.chroma",
-                config_class="llama_stack.providers.remote.vector_io.chroma.ChromaRemoteImplConfig",
+                config_class="llama_stack.providers.remote.vector_io.chroma.ChromaVectorIOConfig",
             ),
             api_dependencies=[Api.inference],
         ),
@@ -77,7 +77,7 @@ def available_providers() -> List[ProviderSpec]:
             provider_type="inline::chromadb",
             pip_packages=EMBEDDING_DEPS + ["chromadb"],
             module="llama_stack.providers.inline.vector_io.chroma",
-            config_class="llama_stack.providers.inline.vector_io.chroma.ChromaInlineImplConfig",
+            config_class="llama_stack.providers.inline.vector_io.chroma.ChromaVectorIOConfig",
             api_dependencies=[Api.inference],
         ),
         remote_provider_spec(
@@ -86,7 +86,7 @@ def available_providers() -> List[ProviderSpec]:
                 adapter_type="pgvector",
                 pip_packages=EMBEDDING_DEPS + ["psycopg2-binary"],
                 module="llama_stack.providers.remote.vector_io.pgvector",
-                config_class="llama_stack.providers.remote.vector_io.pgvector.PGVectorConfig",
+                config_class="llama_stack.providers.remote.vector_io.pgvector.PGVectorVectorIOConfig",
             ),
             api_dependencies=[Api.inference],
         ),
@@ -96,7 +96,7 @@ def available_providers() -> List[ProviderSpec]:
                 adapter_type="weaviate",
                 pip_packages=EMBEDDING_DEPS + ["weaviate-client"],
                 module="llama_stack.providers.remote.vector_io.weaviate",
-                config_class="llama_stack.providers.remote.vector_io.weaviate.WeaviateConfig",
+                config_class="llama_stack.providers.remote.vector_io.weaviate.WeaviateVectorIOConfig",
                 provider_data_validator="llama_stack.providers.remote.vector_io.weaviate.WeaviateRequestProviderData",
             ),
             api_dependencies=[Api.inference],
@@ -107,7 +107,7 @@ def available_providers() -> List[ProviderSpec]:
                 adapter_type="sample",
                 pip_packages=[],
                 module="llama_stack.providers.remote.vector_io.sample",
-                config_class="llama_stack.providers.remote.vector_io.sample.SampleConfig",
+                config_class="llama_stack.providers.remote.vector_io.sample.SampleVectorIOConfig",
             ),
             api_dependencies=[],
         ),
@@ -117,7 +117,7 @@ def available_providers() -> List[ProviderSpec]:
                 adapter_type="qdrant",
                 pip_packages=EMBEDDING_DEPS + ["qdrant-client"],
                 module="llama_stack.providers.remote.vector_io.qdrant",
-                config_class="llama_stack.providers.remote.vector_io.qdrant.QdrantConfig",
+                config_class="llama_stack.providers.remote.vector_io.qdrant.QdrantVectorIOConfig",
             ),
             api_dependencies=[Api.inference],
         ),

llama_stack/providers/remote/vector_io/chroma/chroma.py

@@ -16,12 +16,13 @@ from llama_stack.apis.inference import InterleavedContent
 from llama_stack.apis.vector_dbs import VectorDB
 from llama_stack.apis.vector_io import Chunk, QueryChunksResponse, VectorIO
 from llama_stack.providers.datatypes import Api, VectorDBsProtocolPrivate
+from llama_stack.providers.inline.vector_io.chroma import ChromaVectorIOConfig as InlineChromaVectorIOConfig
 from llama_stack.providers.utils.memory.vector_store import (
     EmbeddingIndex,
     VectorDBWithIndex,
 )
 
-from .config import ChromaVectorIOConfig
+from .config import ChromaVectorIOConfig as RemoteChromaVectorIOConfig
 
 log = logging.getLogger(__name__)
 
@@ -88,7 +89,7 @@ class ChromaIndex(EmbeddingIndex):
 class ChromaVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
     def __init__(
         self,
-        config: Union[ChromaVectorIOConfig, ChromaVectorIOConfig],
+        config: Union[RemoteChromaVectorIOConfig, InlineChromaVectorIOConfig],
         inference_api: Api.inference,
     ) -> None:
         log.info(f"Initializing ChromaVectorIOAdapter with url: {config}")
@@ -99,7 +100,7 @@ class ChromaVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
         self.cache = {}
 
     async def initialize(self) -> None:
-        if isinstance(self.config, ChromaVectorIOConfig):
+        if isinstance(self.config, RemoteChromaVectorIOConfig):
             log.info(f"Connecting to Chroma server at: {self.config.url}")
             url = self.config.url.rstrip("/")
             parsed = urlparse(url)