code readability, formatting, minor version bump

application/app.py

@@ -4,6 +4,7 @@ import http.client
 import json
 import os
 import traceback
+import logging
 
 import dotenv
 import openai
@@ -40,6 +41,8 @@ from worker import ingest_worker
 
 # os.environ["LANGCHAIN_HANDLER"] = "langchain"
 
+logger = logging.getLogger(__name__)
+
 if settings.LLM_NAME == "manifest":
     from manifest import Manifest
     from langchain.llms.manifest import ManifestWrapper
@@ -176,7 +179,7 @@ def complete_stream(question, docsearch, chat_history, api_key):
     messages_combine.append({"role": "user", "content": question})
     completion = openai.ChatCompletion.create(model="gpt-3.5-turbo",
                                               messages=messages_combine, stream=True, max_tokens=500, temperature=0)
-    
+
     for line in completion:
         if "content" in line["choices"][0]["delta"]:
             # check if the delta contains content
@@ -217,6 +220,10 @@ def stream():
     )
 
 
+def is_azure_configured():
+    return settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME
+
+
 @app.route("/api/answer", methods=["POST"])
 def api_answer():
     data = request.get_json()
@@ -244,7 +251,8 @@ def api_answer():
             input_variables=["context", "question"], template=template_quest, template_format="jinja2"
         )
         if settings.LLM_NAME == "openai_chat":
-            if settings.OPENAI_API_BASE and settings.OPENAI_API_VERSION and settings.AZURE_DEPLOYMENT_NAME:  # azure
+            if is_azure_configured():
+                logger.debug("in Azure")
                 llm = AzureChatOpenAI(
                     openai_api_key=api_key,
                     openai_api_base=settings.OPENAI_API_BASE,
@@ -252,6 +260,7 @@ def api_answer():
                     deployment_name=settings.AZURE_DEPLOYMENT_NAME,
                 )
             else:
+                logger.debug("plain OpenAI")
                 llm = ChatOpenAI(openai_api_key=api_key)  # optional parameter: model_name="gpt-4"
             messages_combine = [SystemMessagePromptTemplate.from_template(chat_combine_template)]
             if history: