simplified some, walked back some decisions

llama_stack/providers/inline/agents/meta_reference/config.py

@@ -8,14 +8,14 @@ from typing import Any
 
 from pydantic import BaseModel
 
-from llama_stack.core.storage.datatypes import KVStoreReference, SqlStoreReference
+from llama_stack.core.storage.datatypes import KVStoreReference, ResponsesStoreReference
 
 
 class AgentPersistenceConfig(BaseModel):
     """Nested persistence configuration for agents."""
 
     agent_state: KVStoreReference
-    responses: SqlStoreReference
+    responses: ResponsesStoreReference
 
 
 class MetaReferenceAgentsImplConfig(BaseModel):
@@ -26,9 +26,11 @@ class MetaReferenceAgentsImplConfig(BaseModel):
         return {
             "persistence": {
                 "agent_state": KVStoreReference(
+                    backend="kv_default",
                     namespace="agents",
                 ).model_dump(exclude_none=True),
-                "responses": SqlStoreReference(
+                "responses": ResponsesStoreReference(
+                    backend="sql_default",
                     table_name="responses",
                 ).model_dump(exclude_none=True),
             }

llama_stack/providers/inline/batches/reference/config.py

@@ -34,6 +34,7 @@ class ReferenceBatchesImplConfig(BaseModel):
     def sample_run_config(cls, __distro_dir__: str) -> dict:
         return {
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="batches",
             ).model_dump(exclude_none=True),
         }

llama_stack/providers/inline/datasetio/localfs/config.py

@@ -17,6 +17,7 @@ class LocalFSDatasetIOConfig(BaseModel):
     def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
         return {
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="datasetio::localfs",
             ).model_dump(exclude_none=True)
         }

llama_stack/providers/inline/eval/meta_reference/config.py

@@ -17,6 +17,7 @@ class MetaReferenceEvalConfig(BaseModel):
     def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
         return {
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="eval",
             ).model_dump(exclude_none=True)
         }

llama_stack/providers/inline/files/localfs/config.py

@@ -25,6 +25,7 @@ class LocalfsFilesImplConfig(BaseModel):
         return {
             "storage_dir": "${env.FILES_STORAGE_DIR:=" + __distro_dir__ + "/files}",
             "metadata_store": SqlStoreReference(
+                backend="sql_default",
                 table_name="files_metadata",
             ).model_dump(exclude_none=True),
         }

llama_stack/providers/inline/vector_io/chroma/config.py

@@ -24,6 +24,7 @@ class ChromaVectorIOConfig(BaseModel):
         return {
             "db_path": db_path,
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="vector_io::chroma",
             ).model_dump(exclude_none=True),
         }

llama_stack/providers/inline/vector_io/faiss/config.py

@@ -20,6 +20,7 @@ class FaissVectorIOConfig(BaseModel):
     def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
         return {
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="vector_io::faiss",
             ).model_dump(exclude_none=True)
         }

llama_stack/providers/inline/vector_io/milvus/config.py

@@ -23,6 +23,7 @@ class MilvusVectorIOConfig(BaseModel):
         return {
             "db_path": "${env.MILVUS_DB_PATH:=" + __distro_dir__ + "}/" + "milvus.db",
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="vector_io::milvus",
             ).model_dump(exclude_none=True),
         }

llama_stack/providers/inline/vector_io/qdrant/config.py

@@ -23,6 +23,7 @@ class QdrantVectorIOConfig(BaseModel):
         return {
             "path": "${env.QDRANT_PATH:=~/.llama/" + __distro_dir__ + "}/" + "qdrant.db",
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="vector_io::qdrant",
             ).model_dump(exclude_none=True),
         }

llama_stack/providers/inline/vector_io/sqlite_vec/config.py

@@ -20,6 +20,7 @@ class SQLiteVectorIOConfig(BaseModel):
         return {
             "db_path": "${env.SQLITE_STORE_DIR:=" + __distro_dir__ + "}/" + "sqlite_vec.db",
             "kvstore": KVStoreReference(
+                backend="kv_default",
                 namespace="vector_io::sqlite_vec",
             ).model_dump(exclude_none=True),
         }