- 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

eveai_chat_workers/retrievers/standard_rag.py

@@ -30,7 +30,7 @@ class StandardRAGRetriever(BaseRetriever):
         self.tuning = retriever.tuning
         self.model_variables = get_model_variables(self.tenant_id)
 
-        self._log_tuning("Standard RAG retriever initialized")
+        self.log_tuning("Standard RAG retriever initialized")
 
     @property
     def type(self) -> str:
@@ -140,7 +140,7 @@ class StandardRAGRetriever(BaseRetriever):
                 compiled_query = str(query_obj.statement.compile(
                     compile_kwargs={"literal_binds": True}  # This will include the actual values in the SQL
                 ))
-                self._log_tuning('retrieve', {
+                self.log_tuning('retrieve', {
                     "arguments": arguments.model_dump(),
                     "similarity_threshold": self.similarity_threshold,
                     "k": self.k,