Docs: use LlmConfig instead of QueryConfig (#626)

docs/advanced/interface_types.mdx

@@ -43,11 +43,11 @@ Dry Run is an option in the `add`, `query` and `chat` methods that allows the us
 
 - You can add config to your query method to stream responses like ChatGPT does. You would require a downstream handler to render the chunk in your desirable format. Supports both OpenAI model and OpenSourceApp. 📊
 
-- To use this, instantiate a `QueryConfig` or `ChatConfig` object with `stream=True`. Then pass it to the `.chat()` or `.query()` method. The following example iterates through the chunks and prints them as they appear.
+- To use this, instantiate a `LlmConfig` or `ChatConfig` object with `stream=True`. Then pass it to the `.chat()` or `.query()` method. The following example iterates through the chunks and prints them as they appear.
 
 ```python
 app = App()
-query_config = QueryConfig(stream = True)
+query_config = LlmConfig(stream = True)
 resp = app.query("What unique capacity does Naval argue humans possess when it comes to understanding explanations or concepts?", query_config)
 
 for chunk in resp:

tests/llm/test_chat.py

@@ -63,21 +63,7 @@ class TestApp(unittest.TestCase):
     @patch("chromadb.api.models.Collection.Collection.add", MagicMock)
     def test_chat_with_where_in_params(self):
         """
-        This test checks the functionality of the 'chat' method in the App class.
+        Test where filter
-        It simulates a scenario where the 'retrieve_from_database' method returns a context list based on
-        a where filter and 'get_llm_model_answer' returns an expected answer string.
-
-        The 'chat' method is expected to call 'retrieve_from_database' with the where filter  and
-        'get_llm_model_answer' methods appropriately and return the right answer.
-
-        Key assumptions tested:
-        - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
-            QueryConfig.
-        - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
-        - 'chat' method returns the value it received from 'get_llm_model_answer'.
-
-        The test isolates the 'chat' method behavior by mocking out 'retrieve_from_database' and
-        'get_llm_model_answer' methods.
         """
         with patch.object(self.app, "retrieve_from_database") as mock_retrieve:
             mock_retrieve.return_value = ["Test context"]
@@ -99,11 +85,11 @@ class TestApp(unittest.TestCase):
         a where filter and 'get_llm_model_answer' returns an expected answer string.
 
         The 'chat' method is expected to call 'retrieve_from_database' with the where filter specified
-        in the QueryConfig and 'get_llm_model_answer' methods appropriately and return the right answer.
+        in the LlmConfig and 'get_llm_model_answer' methods appropriately and return the right answer.
 
         Key assumptions tested:
         - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
-            QueryConfig.
+            LLmConfig.
         - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
         - 'chat' method returns the value it received from 'get_llm_model_answer'.
 
@@ -114,8 +100,8 @@ class TestApp(unittest.TestCase):
             mock_answer.return_value = "Test answer"
             with patch.object(self.app.db, "query") as mock_database_query:
                 mock_database_query.return_value = ["Test context"]
-                queryConfig = BaseLlmConfig(where={"attribute": "value"})
+                llm_config = BaseLlmConfig(where={"attribute": "value"})
-                answer = self.app.chat("Test query", queryConfig)
+                answer = self.app.chat("Test query", llm_config)
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_database_query.call_args

tests/llm/test_generate_prompt.py

@@ -12,7 +12,7 @@ class TestGeneratePrompt(unittest.TestCase):
     def test_generate_prompt_with_template(self):
         """
         Tests that the generate_prompt method correctly formats the prompt using
-        a custom template provided in the QueryConfig instance.
+        a custom template provided in the LlmConfig instance.
 
         This test sets up a scenario with an input query and a list of contexts,
         and a custom template, and then calls generate_prompt. It checks that the
@@ -58,7 +58,7 @@ class TestGeneratePrompt(unittest.TestCase):
 
     def test_generate_prompt_with_history(self):
         """
-        Test the 'generate_prompt' method with QueryConfig containing a history attribute.
+        Test the 'generate_prompt' method with LlmConfig containing a history attribute.
         """
         config = BaseLlmConfig()
         config.template = Template("Context: $context | Query: $query | History: $history")

tests/llm/test_query.py

@@ -24,7 +24,7 @@ class TestApp(unittest.TestCase):
 
         Key assumptions tested:
         - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
-            QueryConfig.
+            LlmConfig.
         - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
         - 'query' method returns the value it received from 'get_llm_model_answer'.
 
@@ -94,7 +94,7 @@ class TestApp(unittest.TestCase):
 
         Key assumptions tested:
         - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
-            QueryConfig.
+            LlmConfig.
         - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
         - 'query' method returns the value it received from 'get_llm_model_answer'.
 
@@ -125,7 +125,7 @@ class TestApp(unittest.TestCase):
 
         Key assumptions tested:
         - 'retrieve_from_database' method is called exactly once with arguments: "Test query" and an instance of
-            QueryConfig.
+            LlmConfig.
         - 'get_llm_model_answer' is called exactly once. The specific arguments are not checked in this test.
         - 'query' method returns the value it received from 'get_llm_model_answer'.
 
@@ -137,8 +137,8 @@ class TestApp(unittest.TestCase):
             mock_answer.return_value = "Test answer"
             with patch.object(self.app.db, "query") as mock_database_query:
                 mock_database_query.return_value = ["Test context"]
-                queryConfig = BaseLlmConfig(where={"attribute": "value"})
+                llm_config = BaseLlmConfig(where={"attribute": "value"})
-                answer = self.app.query("Test query", queryConfig)
+                answer = self.app.query("Test query", llm_config)
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_database_query.call_args