Enable model variables & start working on RAG task

config/config.py

@@ -1,5 +1,6 @@
 from os import environ, path
 from datetime import timedelta
+import redis
 
 basedir = path.abspath(path.dirname(__file__))
 
@@ -42,7 +43,7 @@ class Config(object):
 
     # supported LLMs
     SUPPORTED_EMBEDDINGS = ['openai.text-embedding-3-small', 'mistral.mistral-embed']
-    SUPPORTED_LLMS = ['openai.gpt-4-turbo', 'openai.gpt-3.5-turbo', 'mistral.mistral-large-2402']
+    SUPPORTED_LLMS = ['openai.gpt-4o', 'openai.gpt-4-turbo', 'openai.gpt-3.5-turbo', 'mistral.mistral-large-2402']
 
     # Celery settings
     CELERY_TASK_SERIALIZER = 'json'
@@ -62,6 +63,20 @@ class Config(object):
     GPT3_5_SUMMARY_TEMPLATE = """Write a concise summary of the text in the same language as the provided text. 
         Text is delimited between triple backquotes.
         ```{text}```"""
+    GPT4_RAG_TEMPLATE = """Answer the question based on the following context, both delimited between triple backquotes
+    in the same language as question. 
+    If the question cannot be answered using the text, say "I don't know" in the same language as the question.
+    Context:
+    ```{context}```
+    Question:
+    ```{question}```"""
+    GPT3_5_RAG_TEMPLATE = """Answer the question based on the following context, both delimited between triple backquotes
+        in the same language as question. 
+        If the question cannot be answered using the text, say "I don't know" in the same language as the question.
+        Context:
+        ```{context}```
+        Question:
+        ```{question}```"""
 
     # SocketIO settings
     # SOCKETIO_ASYNC_MODE = 'threading'
@@ -91,8 +106,13 @@ class DevConfig(Config):
     UPLOAD_FOLDER = '/Volumes/OWC4M2_1/Development/eveAI/file_store'
 
     # Celery settings
-    CELERY_BROKER_URL = 'redis://localhost:6379/0'  # Default Redis configuration
+    # eveai_app Redis Settings
+    CELERY_BROKER_URL = 'redis://localhost:6379/0'
     CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
+    # eveai_chat Redis Settings
+    CELERY_BROKER_URL_CHAT = 'redis://localhost:6379/3'
+    CELERY_RESULT_BACKEND_CHAT = 'redis://localhost:6379/3'
+
 
     # OpenAI API Keys
     OPENAI_API_KEY = 'sk-proj-8R0jWzwjL7PeoPyMhJTZT3BlbkFJLb6HfRB2Hr9cEVFWEhU7'
@@ -118,12 +138,8 @@ class DevConfig(Config):
     JWT_SECRET_KEY = 'bsdMkmQ8ObfMD52yAFg4trrvjgjMhuIqg2fjDpD/JqvgY0ccCcmlsEnVFmR79WPiLKEA3i8a5zmejwLZKl4v9Q=='
 
     # Session settings
-    SESSION_REDIS = {
-        'host': 'localhost',  # Redis server hostname or IP address
-        'port': 6379,  # Redis server port
-        'db': 2,  # Redis database number (optional)
-        'password': None  # Redis password (optional)
-    }
+    SESSION_REDIS = redis.from_url('redis://localhost:6379/2')
+
 
 class ProdConfig(Config):
     DEVELOPMENT = False