Use proper Llama Stack name in sources

src/app/endpoints/query.py

@@ -177,7 +177,7 @@ async def query_endpoint_handler(
     # log Llama Stack configuration, but without sensitive information
     llama_stack_config = configuration.llama_stack_configuration.model_copy()
     llama_stack_config.api_key = "********"
-    logger.info("LLama stack config: %s", llama_stack_config)
+    logger.info("Llama stack config: %s", llama_stack_config)
 
     user_id, _, token = auth
 

src/app/endpoints/streaming_query.py

@@ -134,15 +134,15 @@ def stream_end_event(metadata_map: dict) -> str:
 def stream_build_event(chunk: Any, chunk_id: int, metadata_map: dict) -> Iterator[str]:
     """Build a streaming event from a chunk response.
 
-    This function processes chunks from the LLama Stack streaming response and formats
+    This function processes chunks from the Llama Stack streaming response and formats
     them into Server-Sent Events (SSE) format for the client. It handles two main
     event types:
 
     1. step_progress: Contains text deltas from the model inference process
     2. step_complete: Contains information about completed tool execution steps
 
     Args:
-        chunk: The streaming chunk from LLama Stack containing event data
+        chunk: The streaming chunk from Llama Stack containing event data
         chunk_id: The current chunk ID counter (gets incremented for each token)
 
     Returns:
@@ -544,7 +544,7 @@ async def streaming_query_endpoint_handler(  # pylint: disable=too-many-locals
     # log Llama Stack configuration, but without sensitive information
     llama_stack_config = configuration.llama_stack_configuration.model_copy()
     llama_stack_config.api_key = "********"
-    logger.info("LLama stack config: %s", llama_stack_config)
+    logger.info("Llama stack config: %s", llama_stack_config)
 
     user_id, _user_name, token = auth
 

src/client.py

@@ -1,4 +1,4 @@
-"""LLama Stack client retrieval class."""
+"""Llama Stack client retrieval class."""
 
 import logging
 

src/models/config.py

@@ -179,19 +179,19 @@ def check_llama_stack_model(self) -> Self:
         if self.url is None:
             if self.use_as_library_client is None:
                 raise ValueError(
-                    "LLama stack URL is not specified and library client mode is not specified"
+                    "Llama stack URL is not specified and library client mode is not specified"
                 )
             if self.use_as_library_client is False:
                 raise ValueError(
-                    "LLama stack URL is not specified and library client mode is not enabled"
+                    "Llama stack URL is not specified and library client mode is not enabled"
                 )
         if self.use_as_library_client is None:
             self.use_as_library_client = False
         if self.use_as_library_client:
             if self.library_client_config_path is None:
                 # pylint: disable=line-too-long
                 raise ValueError(
-                    "LLama stack library client mode is enabled but a configuration file path is not specified"  # noqa: E501
+                    "Llama stack library client mode is enabled but a configuration file path is not specified"  # noqa: E501
                 )
             # the configuration file must exists and be regular readable file
             checks.file_check(

tests/unit/app/endpoints/test_models.py

@@ -84,7 +84,7 @@ async def test_models_endpoint_handler_improper_llama_stack_configuration(mocker
     with pytest.raises(HTTPException) as e:
         await models_endpoint_handler(request=request, auth=auth)
         assert e.value.status_code == status.HTTP_500_INTERNAL_SERVER_ERROR
-        assert e.detail["response"] == "LLama stack is not configured"
+        assert e.detail["response"] == "Llama stack is not configured"
 
 
 @pytest.mark.asyncio

tests/unit/app/endpoints/test_streaming_query.py

@@ -182,7 +182,7 @@ async def _test_streaming_query_endpoint_handler(mocker, store_transcript=False)
         mocker.Mock(identifier="model2", model_type="llm", provider_id="provider2"),
     ]
 
-    # Construct the streaming response from LLama Stack.
+    # Construct the streaming response from Llama Stack.
     # We cannot use 'mock' as 'hasattr(mock, "xxx")' adds the missing
     # attribute and therefore makes checks to see whether it is missing fail.
     mock_streaming_response = mocker.AsyncMock()

tests/unit/models/test_config.py

@@ -114,23 +114,23 @@ def test_llama_stack_wrong_configuration_constructor_no_url() -> None:
     """
     with pytest.raises(
         ValueError,
-        match="LLama stack URL is not specified and library client mode is not specified",
+        match="Llama stack URL is not specified and library client mode is not specified",
     ):
         LlamaStackConfiguration()
 
 
 def test_llama_stack_wrong_configuration_constructor_library_mode_off() -> None:
-    """Test the LLamaStackConfiguration constructor."""
+    """Test the LlamaStackConfiguration constructor."""
     with pytest.raises(
         ValueError,
-        match="LLama stack URL is not specified and library client mode is not enabled",
+        match="Llama stack URL is not specified and library client mode is not enabled",
     ):
         LlamaStackConfiguration(use_as_library_client=False)
 
 
 def test_llama_stack_wrong_configuration_no_config_file() -> None:
-    """Test the LLamaStackConfiguration constructor."""
-    m = "LLama stack library client mode is enabled but a configuration file path is not specified"
+    """Test the LlamaStackConfiguration constructor."""
+    m = "Llama stack library client mode is enabled but a configuration file path is not specified"
     with pytest.raises(ValueError, match=m):
         LlamaStackConfiguration(use_as_library_client=True)