- 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/tasks/RAG_TASK/1.0.0.yaml

@@ -1,21 +1,21 @@
 version: "1.0.0"
 name: "RAG Task"
 task_description: >
-  Answer the question based on the following context, delimited between triple backquotes, and taking into account
+  Answer the query based on the following context, delimited between triple backquotes, and taking into account
   the history of the discussion, in between triple %
   {custom_description}
   Use the following {language} in your communication, and cite the sources used at the end of the full conversation.
-  If the question cannot be answered using the given context, say "I have insufficient information to answer this question."
+  If the question cannot be answered using the given context, answer "I have insufficient information to answer this question."
   Context:
     ```{context}```
   History:
     %%%{history}%%%
-  Question:
-    {question}
+  Query:
+    {query}
 expected_output: >
-  An answer to the question asked formatted in markdown, without '```'.
-  A list of sources used in generating the answer.
-  An indication (True or False) of your ability to provide an answer.
+  - Answer
+  - A list of sources used in generating the answer, citations
+  - An indication (True or False) if there's insufficient information to give an answer.
 metadata:
   author: "Josako"
   date_added: "2025-01-08"