style: lint

Author: lpm0073

.env-example

@@ -9,4 +9,4 @@ MYSQL_USER=your-username
 MYSQL_PASSWORD=your-password
 MYSQL_DATABASE=your-database-name
 MYSQL_CHARSET=utf8mb4
-TOOL_CHOICE=required
+LLM_TOOL_CHOICE=required

Makefile

@@ -81,7 +81,7 @@ docker-push:
 	docker push ${DOCKERHUB_USERNAME}/${REPO_NAME}:latest
 
 docker-run:
-	docker run -it -e OPENAI_API_KEY=${OPENAI_API_KEY} -e ENVIRONMENT=prod -e MYSQL_HOST=${MYSQL_HOST} -e MYSQL_PORT=${MYSQL_PORT} -e MYSQL_USER=${MYSQL_USER} -e MYSQL_PASSWORD=${MYSQL_PASSWORD} -e MYSQL_DATABASE=${MYSQL_DATABASE} -e MYSQL_CHARSET=${MYSQL_CHARSET} -e LOGGING_LEVEL=${LOGGING_LEVEL} -e TOOL_CHOICE=${TOOL_CHOICE} ${DOCKERHUB_USERNAME}/${REPO_NAME}:latest
+	docker run -it -e OPENAI_API_KEY=${OPENAI_API_KEY} -e ENVIRONMENT=prod -e MYSQL_HOST=${MYSQL_HOST} -e MYSQL_PORT=${MYSQL_PORT} -e MYSQL_USER=${MYSQL_USER} -e MYSQL_PASSWORD=${MYSQL_PASSWORD} -e MYSQL_DATABASE=${MYSQL_DATABASE} -e MYSQL_CHARSET=${MYSQL_CHARSET} -e LOGGING_LEVEL=${LOGGING_LEVEL} -e LLM_TOOL_CHOICE=${LLM_TOOL_CHOICE} ${DOCKERHUB_USERNAME}/${REPO_NAME}:latest
 
 docker-prune:
 	@if [ "`docker ps -aq`" ]; then \

app/prompt.py

@@ -21,7 +21,7 @@
 from app import settings
 from app.const import MISSING, ToolChoice
 from app.logging_config import get_logger, setup_logging
-from app.settings import ASSISTANT_NAME, TOOL_CHOICE
+from app.settings import LLM_ASSISTANT_NAME, LLM_TOOL_CHOICE
 from app.stackademy import stackademy_app
 from app.utils import dump_json_colored
 
@@ -50,12 +50,12 @@
             You should respond in a concise and clear manner, providing accurate information based on the user's request.
             If you ask a follow up question, then place it at the bottom of the response and precede it with "QUESTION:".
             """,
-        name=ASSISTANT_NAME,
+        name=LLM_ASSISTANT_NAME,
     ),
     ChatCompletionAssistantMessageParam(
         role="assistant",
         content="How can I assist you with Stackademy today?",
-        name=ASSISTANT_NAME,
+        name=LLM_ASSISTANT_NAME,
     ),
 ]
 
@@ -111,7 +111,7 @@ def process_tool_calls(message: ChatCompletionMessage) -> list[str]:
             assistant_content = message.content if message.content else "Accessing tool..."
             messages.append(
                 ChatCompletionAssistantMessageParam(
-                    role="assistant", content=assistant_content, tool_calls=tool_calls_param, name=ASSISTANT_NAME
+                    role="assistant", content=assistant_content, tool_calls=tool_calls_param, name=LLM_ASSISTANT_NAME
                 )
             )
             logger.info("Function call detected: %s with args %s", function_name, function_args)
@@ -183,7 +183,7 @@ def handle_completion(tools, tool_choice) -> ChatCompletion:
 
     response = handle_completion(
         # tool_choice={"type": "function", "function": {"name": "get_courses"}},
-        tool_choice=TOOL_CHOICE,
+        tool_choice=LLM_TOOL_CHOICE,
         tools=[stackademy_app.tool_factory_get_courses()],
     )
     logger.debug("Initial response: %s", dump_json_colored(response.model_dump(), "green"))

app/settings.py

@@ -15,11 +15,11 @@
 
 # General settings
 LOGGING_LEVEL = int(os.getenv("LOGGING_LEVEL", str(logging.INFO)))
-TOOL_CHOICE = os.getenv("TOOL_CHOICE", ToolChoice.REQUIRED)
-ASSISTANT_NAME = "StackademyAssistant"
 
 
-# OpenAI API settings
+# LLM/OpenAI API settings
+LLM_TOOL_CHOICE = os.getenv("LLM_TOOL_CHOICE", ToolChoice.REQUIRED)
+LLM_ASSISTANT_NAME = "StackademyAssistant"
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY", SET_ME_PLEASE)
 OPENAI_API_MODEL = os.getenv("OPENAI_API_MODEL", "gpt-4o-mini")
 OPENAI_API_TEMPERATURE = float(os.getenv("OPENAI_API_TEMPERATURE", "0.0"))