- Implementation of specialist execution api, including SSE protocol

- eveai_chat becomes deprecated and should be replaced with SSE
- Adaptation of STANDARD_RAG specialist
- Base class definition allowing to realise specialists with crewai framework
- Implementation of SPIN_SPECIALIST
- Implementation of test app for testing specialists (test_specialist_client). Also serves as an example for future SSE-based client
- Improvements to startup scripts to better handle and scale multiple connections
- Small improvements to the interaction forms and views
- Caching implementation improved and augmented with additional caches

config/config.py

@@ -197,6 +197,8 @@ class DevConfig(Config):
     CELERY_RESULT_BACKEND_CHAT = f'{REDIS_BASE_URI}/3'
     # eveai_chat_workers cache Redis Settings
     CHAT_WORKER_CACHE_URL = f'{REDIS_BASE_URI}/4'
+    # specialist execution pub/sub Redis Settings
+    SPECIALIST_EXEC_PUBSUB = f'{REDIS_BASE_URI}/5'
 
 
     # Unstructured settings
@@ -290,6 +292,8 @@ class ProdConfig(Config):
     CELERY_RESULT_BACKEND_CHAT = f'{REDIS_BASE_URI}/3'
     # eveai_chat_workers cache Redis Settings
     CHAT_WORKER_CACHE_URL = f'{REDIS_BASE_URI}/4'
+    # specialist execution pub/sub Redis Settings
+    SPECIALIST_EXEC_PUBSUB = f'{REDIS_BASE_URI}/5'
 
     # Session settings
     SESSION_REDIS = redis.from_url(f'{REDIS_BASE_URI}/2')