simplified some, walked back some decisions

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

@@ -39,6 +39,7 @@ providers:
     config:
       kvstore:
         namespace: vector_io::faiss
+        backend: kv_default
   safety:
   - provider_id: llama-guard
     provider_type: inline::llama-guard
@@ -51,25 +52,32 @@ providers:
       persistence:
         agent_state:
           namespace: agents
+          backend: kv_default
         responses:
           table_name: responses
+          backend: sql_default
+          max_write_queue_size: 10000
+          num_writers: 4
   eval:
   - provider_id: meta-reference
     provider_type: inline::meta-reference
     config:
       kvstore:
         namespace: eval
+        backend: kv_default
   datasetio:
   - provider_id: huggingface
     provider_type: remote::huggingface
     config:
       kvstore:
         namespace: datasetio::huggingface
+        backend: kv_default
   - provider_id: localfs
     provider_type: inline::localfs
     config:
       kvstore:
         namespace: datasetio::localfs
+        backend: kv_default
   scoring:
   - provider_id: basic
     provider_type: inline::basic
@@ -96,23 +104,23 @@ providers:
     provider_type: remote::model-context-protocol
 storage:
   backends:
-    default_kv_store:
+    kv_default:
       type: kv_sqlite
       db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/meta-reference-gpu}/kvstore.db
-    default_sql_store:
+    sql_default:
       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
+metadata_store:
+  namespace: registry
+  backend: kv_default
+inference_store:
+  table_name: inference_store
+  backend: sql_default
+  max_write_queue_size: 10000
+  num_writers: 4
+conversations_store:
+  table_name: openai_conversations
+  backend: sql_default
 models:
 - metadata: {}
   model_id: ${env.INFERENCE_MODEL}