LCORE-2044: Bump LLS to 0.7.2

Makefile

@@ -94,7 +94,7 @@ start-llama-stack-container: build-llama-stack-image ## Start llama-stack contai
 		-e WATSONX_API_KEY \
 		-e LITELLM_DROP_PARAMS=true \
 		-e AWS_BEARER_TOKEN_BEDROCK \
-		-e LLAMA_STACK_LOGGING=$${LLAMA_STACK_LOGGING:-} \
+		-e OGX_LOGGING=$${OGX_LOGGING:-} \
 		-e FAISS_VECTOR_STORE_ID=$${FAISS_VECTOR_STORE_ID:-} \
 		-e RH_SERVER_OKP \
 		-e SOLR_URL \
@@ -130,7 +130,7 @@ clean-llama-stack: remove-llama-stack-container ## Remove container and image
 
 run-llama-stack: ## Start Llama Stack with enriched config (for local service mode)
 	uv run src/llama_stack_configuration.py -c $(CONFIG) -i $(LLAMA_STACK_CONFIG) -o $(LLAMA_STACK_CONFIG) && \
-	uv run llama stack run $(LLAMA_STACK_CONFIG)
+	uv run ogx stack run $(LLAMA_STACK_CONFIG)
 
 test-unit: ## Run the unit tests
 	@echo "Running unit tests..."

docker-compose-library.yaml

@@ -56,7 +56,7 @@ services:
       # AWS Bedrock
       - AWS_BEARER_TOKEN_BEDROCK=${AWS_BEARER_TOKEN_BEDROCK:-}
       # Enable debug logging if needed
-      - LLAMA_STACK_LOGGING=${LLAMA_STACK_LOGGING:-}
+      - OGX_LOGGING=${OGX_LOGGING:-}
       # FAISS test and inline RAG config
       - FAISS_VECTOR_STORE_ID=${FAISS_VECTOR_STORE_ID:-}
       # Prevent HuggingFace Hub update checks (HTTP 429 rate-limiting in CI from parallel jobs).

docker-compose.yaml

@@ -54,7 +54,7 @@ services:
       # AWS Bedrock
       - AWS_BEARER_TOKEN_BEDROCK=${AWS_BEARER_TOKEN_BEDROCK:-}
       # Enable debug logging if needed
-      - LLAMA_STACK_LOGGING=${LLAMA_STACK_LOGGING:-}
+      - OGX_LOGGING=${OGX_LOGGING:-}
       # FAISS test
       - FAISS_VECTOR_STORE_ID=${FAISS_VECTOR_STORE_ID:-}
       # Prevent HuggingFace Hub update checks (HTTP 429 rate-limiting in CI from parallel jobs).

docs/devel_doc/providers.md

@@ -258,7 +258,7 @@ make run CONFIG=examples/lightspeed-stack-azure-entraid-service.yaml
 
 | Name                   | Type   | Pip Dependencies                                                                                     | Supported in LCS |
 |------------------------|--------|------------------------------------------------------------------------------------------------------|:----------------:|
-| rag-runtime            | inline | `chardet`,`pypdf`, `tqdm`, `numpy`, `scikit-learn`, `scipy`, `nltk`, `sentencepiece`, `transformers` | ✅               |
+| file-search            | inline | `chardet`,`pypdf`, `tqdm`, `numpy`, `scikit-learn`, `scipy`, `nltk`, `sentencepiece`, `transformers` | ✅               |
 | bing-search            | remote | `requests`                                                                                           | ❌               |
 | brave-search           | remote | `requests`                                                                                           | ❌               |
 | model-context-protocol | remote | `mcp>=1.8.1`                                                                                         | ✅               |

examples/azure-run.yaml

@@ -1,20 +1,14 @@
 version: 2
-image_name: azure-configuration
 
 apis:
-- agents
+- responses
 - batches
-- datasetio
-- eval
 - files
 - inference
-- safety
-- scoring
 - tool_runtime
+- conversations
 - vector_io
 
-benchmarks: []
-datasets: []
 # external_providers_dir: /opt/app-root/src/.llama/providers.d
 
 providers:
@@ -40,19 +34,10 @@ providers:
       storage_dir: ~/.llama/storage/files
     provider_id: meta-reference-files
     provider_type: inline::localfs
-  safety:
-  - config:
-      excluded_categories: []
-    provider_id: llama-guard
-    provider_type: inline::llama-guard
-  scoring:
-  - config: {}
-    provider_id: basic
-    provider_type: inline::basic
   tool_runtime:
   - config: {} # Enable the RAG tool
-    provider_id: rag-runtime
-    provider_type: inline::rag-runtime
+    provider_id: file-search
+    provider_type: inline::file-search
   - config: {} # Enable MCP (Model Context Protocol) support
     provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
@@ -63,45 +48,21 @@ providers:
         backend: kv_rag
     provider_id: faiss
     provider_type: inline::faiss
-  agents:
+  responses:
   - config:
       persistence:
-        agent_state:
-          namespace: agents_state
-          backend: kv_default
         responses:
           table_name: agents_responses
           backend: sql_default
-    provider_id: meta-reference
-    provider_type: inline::meta-reference
+    provider_id: builtin
+    provider_type: inline::builtin
   batches:
   - config:
-      kvstore:
-        namespace: batches_store
-        backend: kv_default
+      sqlstore:
+        table_name: batches
+        backend: sql_default
     provider_id: reference
     provider_type: inline::reference
-  datasetio:
-  - config:
-      kvstore:
-        namespace: huggingface_datasetio
-        backend: kv_default
-    provider_id: huggingface
-    provider_type: remote::huggingface
-  - config:
-      kvstore:
-        namespace: localfs_datasetio
-        backend: kv_default
-    provider_id: localfs
-    provider_type: inline::localfs
-  eval:
-  - config:
-      kvstore:
-        namespace: eval_store
-        backend: kv_default
-    provider_id: meta-reference
-    provider_type: inline::meta-reference
-scoring_fns: []
 server:
   port: 8321
 storage:
@@ -128,8 +89,11 @@ storage:
       table_name: openai_conversations
       backend: sql_default
     prompts:
-      namespace: prompts
-      backend: kv_default
+      table_name: prompts
+      backend: sql_default
+    connectors:
+      table_name: connectors
+      backend: sql_default
 registered_resources:
   models:
   - model_id: gpt-4o-mini
@@ -142,25 +106,14 @@ registered_resources:
     provider_model_id: all-mpnet-base-v2
     metadata:
       embedding_dimension: 768
-  shields:
-  - shield_id: llama-guard
-    provider_id: llama-guard
-    provider_shield_id: openai/gpt-4o-mini
   vector_stores: 
   - embedding_dimension: 768
     embedding_model: sentence-transformers/all-mpnet-base-v2
     provider_id: faiss
     vector_store_id: ${env.FAISS_VECTOR_STORE_ID}
-  datasets: []
-  scoring_fns: []
-  benchmarks: []
-  tool_groups:
-  - toolgroup_id: builtin::rag
-    provider_id: rag-runtime
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:
     provider_id: sentence-transformers
     model_id: all-mpnet-base-v2
-safety:
-  default_shield_id: llama-guard
+distro_name: azure-configuration

examples/bedrock-run.yaml

@@ -1,20 +1,14 @@
 version: 2
 
 apis:
-- agents
+- responses
 - batches
-- datasetio
-- eval
 - files
 - inference
-- safety
-- scoring
 - tool_runtime
+- conversations
 - vector_io
 
-benchmarks: []
-datasets: []
-image_name: starter
 # external_providers_dir: /opt/app-root/src/.llama/providers.d
 
 providers:
@@ -39,26 +33,10 @@ providers:
       storage_dir: ${env.SQLITE_STORE_DIR:=~/.llama/storage/files}
     provider_id: meta-reference-files
     provider_type: inline::localfs
-  safety:
-  - config:
-      excluded_categories: []
-    provider_id: llama-guard
-    provider_type: inline::llama-guard
-  scoring:
-  - provider_id: basic
-    provider_type: inline::basic
-    config: {}
-  - provider_id: llm-as-judge
-    provider_type: inline::llm-as-judge
-    config: {}
-  - provider_id: braintrust
-    provider_type: inline::braintrust
-    config:
-      openai_api_key: '********'
   tool_runtime:
   - config: {} # Enable the RAG tool
-    provider_id: rag-runtime
-    provider_type: inline::rag-runtime
+    provider_id: file-search
+    provider_type: inline::file-search
   - config: {} # Enable MCP (Model Context Protocol) support
     provider_id: model-context-protocol
     provider_type: remote::model-context-protocol
@@ -69,45 +47,21 @@ providers:
         backend: kv_default
     provider_id: faiss
     provider_type: inline::faiss
-  agents:
+  responses:
   - config:
       persistence:
-        agent_state:
-          namespace: agents_state
-          backend: kv_default
         responses:
           table_name: agents_responses
           backend: sql_default
-    provider_id: meta-reference
-    provider_type: inline::meta-reference
+    provider_id: builtin
+    provider_type: inline::builtin
   batches:
   - config:
-      kvstore:
-        namespace: batches_store
-        backend: kv_default
+      sqlstore:
+        table_name: batches
+        backend: sql_default
     provider_id: reference
     provider_type: inline::reference
-  datasetio:
-  - config:
-      kvstore:
-        namespace: huggingface_datasetio
-        backend: kv_default
-    provider_id: huggingface
-    provider_type: remote::huggingface
-  - config:
-      kvstore:
-        namespace: localfs_datasetio
-        backend: kv_default
-    provider_id: localfs
-    provider_type: inline::localfs
-  eval:
-  - config:
-      kvstore:
-        namespace: eval_store
-        backend: kv_default
-    provider_id: meta-reference
-    provider_type: inline::meta-reference
-scoring_fns: []
 server:
   port: 8321
 storage:
@@ -131,8 +85,11 @@ storage:
       table_name: openai_conversations
       backend: sql_default
     prompts:
-      namespace: prompts
-      backend: kv_default
+      table_name: prompts
+      backend: sql_default
+    connectors:
+      table_name: connectors
+      backend: sql_default
 registered_resources:
   models: 
   - model_id: custom-bedrock-model
@@ -145,19 +102,10 @@ registered_resources:
     provider_model_id: all-mpnet-base-v2
     metadata:
       embedding_dimension: 768
-  shields:
-  - shield_id: llama-guard
-    provider_id: llama-guard
-    provider_shield_id: openai/gpt-4o-mini
   vector_stores: []
-  datasets: []
-  scoring_fns: []
-  benchmarks: []
-  tool_groups:
-  - toolgroup_id: builtin::rag # Register the RAG tool
-    provider_id: rag-runtime
 vector_stores:
   default_provider_id: faiss
   default_embedding_model:
     provider_id: sentence-transformers
     model_id: all-mpnet-base-v2
+distro_name: starter

examples/lightspeed-stack-shields.yaml

@@ -0,0 +1,39 @@
+name: Lightspeed Core Service (LCS)
+service:
+  host: localhost
+  port: 8080
+  auth_enabled: false
+  workers: 1
+  color_log: true
+  access_log: true
+llama_stack:
+  use_as_library_client: false
+  url: http://localhost:8321
+  api_key: xyzzy
+user_data_collection:
+  feedback_enabled: true
+  feedback_storage: "/tmp/data/feedback"
+  transcripts_enabled: true
+  transcripts_storage: "/tmp/data/transcripts"
+authentication:
+  module: "noop"
+# Shields are owned by LCORE. shield_id must be one of the supported capability IDs:
+#   - lightspeed_question_validity
+#   - lightspeed_pii_redaction
+shields:
+  - shield_id: lightspeed_question_validity
+    provider_id: lightspeed_question_validity
+    # Model used by the question-validity guardrail
+    provider_shield_id: gpt-4o-mini
+    # Optional overrides (defaults come from constants):
+    # params:
+    #   model_prompt: "..."
+    #   invalid_question_response: "..."
+  - shield_id: lightspeed_pii_redaction
+    provider_id: lightspeed_pii_redaction
+    provider_shield_id: lightspeed_pii_redaction
+    params:
+      case_sensitive: false
+      rules:
+        - pattern: '[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}'
+          replacement: '[REDACTED_EMAIL]'