updates

llama_stack/cli/stack/_build.py

@@ -45,7 +45,6 @@ from llama_stack.core.utils.dynamic import instantiate_class_type
 from llama_stack.core.utils.exec import formulate_run_args, run_command
 from llama_stack.core.utils.image_types import LlamaStackImageType
 from llama_stack.providers.datatypes import Api
-from llama_stack.providers.utils.sqlstore.sqlstore import SqliteSqlStoreConfig
 
 DISTRIBS_PATH = Path(__file__).parent.parent.parent / "distributions"
 

llama_stack/distributions/ci-tests/build.yaml

@@ -52,6 +52,5 @@ distribution_spec:
     - provider_type: inline::reference
 image_type: venv
 additional_pip_packages:
-- aiosqlite
 - asyncpg
 - sqlalchemy[asyncio]

llama_stack/distributions/ci-tests/run.yaml

@@ -198,15 +198,25 @@ providers:
     config:
       kvstore:
         namespace: batches
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ci-tests}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models: []
 shields:
 - shield_id: llama-guard

llama_stack/distributions/dell/build.yaml

@@ -28,6 +28,4 @@ distribution_spec:
     - provider_type: remote::tavily-search
     - provider_type: inline::rag-runtime
 image_type: venv
-additional_pip_packages:
-- aiosqlite
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/dell/run-with-safety.yaml

@@ -81,15 +81,25 @@ providers:
       max_results: 3
   - provider_id: rag-runtime
     provider_type: inline::rag-runtime
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/dell/run.yaml

@@ -77,15 +77,25 @@ providers:
       max_results: 3
   - provider_id: rag-runtime
     provider_type: inline::rag-runtime
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/meta-reference-gpu/build.yaml

@@ -27,6 +27,4 @@ distribution_spec:
     - provider_type: inline::rag-runtime
     - provider_type: remote::model-context-protocol
 image_type: venv
-additional_pip_packages:
-- aiosqlite
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/meta-reference-gpu/run-with-safety.yaml

@@ -94,15 +94,25 @@ providers:
     provider_type: inline::rag-runtime
   - provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/meta-reference-gpu/run.yaml

@@ -84,15 +84,25 @@ providers:
     provider_type: inline::rag-runtime
   - provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/nvidia/build.yaml

@@ -24,6 +24,4 @@ distribution_spec:
     files:
     - provider_type: inline::localfs
 image_type: venv
-additional_pip_packages:
-- aiosqlite
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/nvidia/run-with-safety.yaml

@@ -84,15 +84,25 @@ providers:
       storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/nvidia/files}
       metadata_store:
         table_name: files_metadata
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/nvidia/run.yaml

@@ -74,15 +74,25 @@ providers:
       storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/nvidia/files}
       metadata_store:
         table_name: files_metadata
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/nvidia}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models: []
 shields: []
 vector_dbs: []

llama_stack/distributions/open-benchmark/build.yaml

@@ -31,6 +31,4 @@ distribution_spec:
     - provider_type: inline::rag-runtime
     - provider_type: remote::model-context-protocol
 image_type: venv
-additional_pip_packages:
-- aiosqlite
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/open-benchmark/run.yaml

@@ -112,15 +112,25 @@ providers:
     provider_type: inline::rag-runtime
   - provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/open-benchmark}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: gpt-4o

llama_stack/distributions/postgres-demo/build.yaml

@@ -17,7 +17,4 @@ distribution_spec:
     - provider_type: inline::rag-runtime
     - provider_type: remote::model-context-protocol
 image_type: venv
-additional_pip_packages:
-- asyncpg
-- psycopg2-binary
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/postgres-demo/postgres_demo.py

@@ -105,22 +105,18 @@ def get_distribution_template() -> DistributionTemplate:
                 provider_overrides={
                     "inference": inference_providers + [embedding_provider],
                     "vector_io": vector_io_providers,
-                    "agents": [
-                        Provider(
-                            provider_id="meta-reference",
-                            provider_type="inline::meta-reference",
-                            config=dict(
-                                persistence_store=postgres_config,
-                                responses_store=postgres_config,
-                            ),
-                        )
-                    ],
                 },
                 default_models=default_models + [embedding_model],
                 default_tool_groups=default_tool_groups,
                 default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
                 metadata_store=PostgresKVStoreConfig.sample_run_config(),
                 inference_store=postgres_config,
+                storage_backends={
+                    "default_kv_store": PostgresKVStoreConfig.sample_run_config(
+                        table_name="llamastack_kvstore",
+                    ),
+                    "default_sql_store": PostgresSqlStoreConfig.sample_run_config(),
+                },
             ),
         },
         run_config_env_vars={

llama_stack/distributions/postgres-demo/run.yaml

@@ -33,20 +33,11 @@ providers:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config:
-      persistence_store:
-        type: sql_postgres
-        host: ${env.POSTGRES_HOST:=localhost}
-        port: ${env.POSTGRES_PORT:=5432}
-        db: ${env.POSTGRES_DB:=llamastack}
-        user: ${env.POSTGRES_USER:=llamastack}
-        password: ${env.POSTGRES_PASSWORD:=llamastack}
-      responses_store:
-        type: sql_postgres
-        host: ${env.POSTGRES_HOST:=localhost}
-        port: ${env.POSTGRES_PORT:=5432}
-        db: ${env.POSTGRES_DB:=llamastack}
-        user: ${env.POSTGRES_USER:=llamastack}
-        password: ${env.POSTGRES_PASSWORD:=llamastack}
+      persistence:
+        agent_state:
+          namespace: agents
+        responses:
+          table_name: responses
   tool_runtime:
   - provider_id: brave-search
     provider_type: remote::brave-search
@@ -62,24 +53,34 @@ providers:
     provider_type: inline::rag-runtime
   - provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
-metadata_store:
-  type: kv_postgres
-  host: ${env.POSTGRES_HOST:=localhost}
-  port: ${env.POSTGRES_PORT:=5432}
-  db: ${env.POSTGRES_DB:=llamastack}
-  user: ${env.POSTGRES_USER:=llamastack}
-  password: ${env.POSTGRES_PASSWORD:=llamastack}
-  table_name: ${env.POSTGRES_TABLE_NAME:=llamastack_kvstore}
-inference_store:
-  type: sql_postgres
-  host: ${env.POSTGRES_HOST:=localhost}
-  port: ${env.POSTGRES_PORT:=5432}
-  db: ${env.POSTGRES_DB:=llamastack}
-  user: ${env.POSTGRES_USER:=llamastack}
-  password: ${env.POSTGRES_PASSWORD:=llamastack}
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/postgres-demo}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_postgres
+      host: ${env.POSTGRES_HOST:=localhost}
+      port: ${env.POSTGRES_PORT:=5432}
+      db: ${env.POSTGRES_DB:=llamastack}
+      user: ${env.POSTGRES_USER:=llamastack}
+      password: ${env.POSTGRES_PASSWORD:=llamastack}
+      table_name: ${env.POSTGRES_TABLE_NAME:=llamastack_kvstore}
+    default_sql_store:
+      type: sql_postgres
+      host: ${env.POSTGRES_HOST:=localhost}
+      port: ${env.POSTGRES_PORT:=5432}
+      db: ${env.POSTGRES_DB:=llamastack}
+      user: ${env.POSTGRES_USER:=llamastack}
+      password: ${env.POSTGRES_PASSWORD:=llamastack}
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}

llama_stack/distributions/starter-gpu/build.yaml

@@ -53,6 +53,5 @@ distribution_spec:
     - provider_type: inline::reference
 image_type: venv
 additional_pip_packages:
-- aiosqlite
 - asyncpg
 - sqlalchemy[asyncio]

llama_stack/distributions/starter-gpu/run.yaml

@@ -201,15 +201,25 @@ providers:
     config:
       kvstore:
         namespace: batches
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models: []
 shields:
 - shield_id: llama-guard

llama_stack/distributions/starter/build.yaml

@@ -53,6 +53,5 @@ distribution_spec:
     - provider_type: inline::reference
 image_type: venv
 additional_pip_packages:
-- aiosqlite
 - asyncpg
 - sqlalchemy[asyncio]

llama_stack/distributions/starter/run.yaml

@@ -198,15 +198,25 @@ providers:
     config:
       kvstore:
         namespace: batches
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models: []
 shields:
 - shield_id: llama-guard

llama_stack/distributions/template.py

@@ -29,6 +29,12 @@ from llama_stack.core.datatypes import (
     ToolGroupInput,
 )
 from llama_stack.core.distribution import get_provider_registry
+from llama_stack.core.storage.datatypes import (
+    InferenceStoreReference,
+    KVStoreReference,
+    SqlStoreReference,
+    StorageBackendType,
+)
 from llama_stack.core.utils.dynamic import instantiate_class_type
 from llama_stack.core.utils.image_types import LlamaStackImageType
 from llama_stack.providers.utils.inference.model_registry import ProviderModelEntry
@@ -180,10 +186,8 @@ class RunConfigSettings(BaseModel):
     default_tool_groups: list[ToolGroupInput] | None = None
     default_datasets: list[DatasetInput] | None = None
     default_benchmarks: list[BenchmarkInput] | None = None
-    metadata_store: dict | None = None
-    inference_store: dict | None = None
-    conversations_store: dict | None = None
     telemetry: TelemetryConfig = Field(default_factory=lambda: TelemetryConfig(enabled=True))
+    storage_backends: dict[str, Any] | None = None
 
     def run_config(
         self,
@@ -226,6 +230,33 @@ class RunConfigSettings(BaseModel):
         # Get unique set of APIs from providers
         apis = sorted(providers.keys())
 
+        storage_backends = self.storage_backends or {
+            "default_kv_store": SqliteKVStoreConfig.sample_run_config(
+                __distro_dir__=f"~/.llama/distributions/{name}",
+                db_name="kvstore.db",
+            ),
+            "default_sql_store": SqliteSqlStoreConfig.sample_run_config(
+                __distro_dir__=f"~/.llama/distributions/{name}",
+                db_name="sql_store.db",
+            ),
+        }
+
+        storage_config = dict(
+            backends=storage_backends,
+            metadata=KVStoreReference(
+                backend="default_kv_store",
+                namespace="registry",
+            ).model_dump(exclude_none=True),
+            inference=InferenceStoreReference(
+                backend="default_sql_store",
+                table_name="inference_store",
+            ).model_dump(exclude_none=True),
+            conversations=SqlStoreReference(
+                backend="default_sql_store",
+                table_name="openai_conversations",
+            ).model_dump(exclude_none=True),
+        )
+
         # Return a dict that matches StackRunConfig structure
         return {
             "version": LLAMA_STACK_RUN_CONFIG_VERSION,
@@ -233,21 +264,7 @@ class RunConfigSettings(BaseModel):
             "container_image": container_image,
             "apis": apis,
             "providers": provider_configs,
-            "metadata_store": self.metadata_store
-            or SqliteKVStoreConfig.sample_run_config(
-                __distro_dir__=f"~/.llama/distributions/{name}",
-                db_name="registry.db",
-            ),
-            "inference_store": self.inference_store
-            or SqliteSqlStoreConfig.sample_run_config(
-                __distro_dir__=f"~/.llama/distributions/{name}",
-                db_name="inference_store.db",
-            ),
-            "conversations_store": self.conversations_store
-            or SqliteSqlStoreConfig.sample_run_config(
-                __distro_dir__=f"~/.llama/distributions/{name}",
-                db_name="conversations.db",
-            ),
+            "storage": storage_config,
             "models": [m.model_dump(exclude_none=True) for m in (self.default_models or [])],
             "shields": [s.model_dump(exclude_none=True) for s in (self.default_shields or [])],
             "vector_dbs": [],
@@ -387,11 +404,13 @@ class DistributionTemplate(BaseModel):
         def enum_representer(dumper, data):
             return dumper.represent_scalar("tag:yaml.org,2002:str", data.value)
 
-        # Register YAML representer for ModelType
+        # Register YAML representer for enums
         yaml.add_representer(ModelType, enum_representer)
         yaml.add_representer(DatasetPurpose, enum_representer)
+        yaml.add_representer(StorageBackendType, enum_representer)
         yaml.SafeDumper.add_representer(ModelType, enum_representer)
         yaml.SafeDumper.add_representer(DatasetPurpose, enum_representer)
+        yaml.SafeDumper.add_representer(StorageBackendType, enum_representer)
 
         for output_dir in [yaml_output_dir, doc_output_dir]:
             output_dir.mkdir(parents=True, exist_ok=True)

llama_stack/distributions/watsonx/build.yaml

@@ -28,6 +28,4 @@ distribution_spec:
     files:
     - provider_type: inline::localfs
 image_type: venv
-additional_pip_packages:
-- aiosqlite
-- sqlalchemy[asyncio]
+additional_pip_packages: []

llama_stack/distributions/watsonx/run.yaml

@@ -86,15 +86,25 @@ providers:
       storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/watsonx/files}
       metadata_store:
         table_name: files_metadata
-metadata_store:
-  type: kv_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/watsonx}/registry.db
-inference_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/watsonx}/inference_store.db
-conversations_store:
-  type: sql_sqlite
-  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/watsonx}/conversations.db
+storage:
+  backends:
+    default_kv_store:
+      type: kv_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/watsonx}/kvstore.db
+    default_sql_store:
+      type: sql_sqlite
+      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/watsonx}/sql_store.db
+  metadata:
+    namespace: registry
+    backend: default_kv_store
+  inference:
+    table_name: inference_store
+    backend: default_sql_store
+    max_write_queue_size: 10000
+    num_writers: 4
+  conversations:
+    table_name: openai_conversations
+    backend: default_sql_store
 models: []
 shields: []
 vector_dbs: []

tests/integration/test_persistence_integration.py

@@ -9,7 +9,6 @@ import yaml
 from llama_stack.core.datatypes import StackRunConfig
 from llama_stack.core.storage.datatypes import (
     PostgresSqlStoreConfig,
-    SqliteKVStoreConfig,
     SqliteSqlStoreConfig,
 )