- 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/SPIN_QUESTIONS_TASK/1.0.0.yaml

@@ -1,21 +1,25 @@
 version: "1.0.0"
 name: "SPIN Question Identification"
 task_description: >
-  Define, taking into account the history of the discussion (in between triple %), the latest reply and the currently 
-  known SPIN-elements (in between triple $), the top questions that need to be asked to understand the full SPIN context
+  Define, taking into account the history of the discussion (in between triple backquotes) and the latest reply and the 
+  currently known SPIN-elements, the top questions that need to be asked to understand the full SPIN context
   of the customer. If you think this user could be a potential customer, please indicate so.
   {custom_description}
   Use the following {tenant_language} to define the SPIN-elements. If you have a full SPIN context, just skip and don't
   ask for more information or confirmation.
   History:
-      %%%{history}%%%
-  Known SPIN:
-    $$${SPIN}$$$
+      ```{history}```
   Latest reply:
-    {question}
+    {query}
 expected_output: >
+  The SPIN analysis, comprised of:
+   - Situation information: a description of the customer's current context / situation.
+   - Problem information: a description of the customer's problems uncovering it's challenges and pain points.
+   - Implication information: implications of situation / identified problems, i.e. of the consequences of those problems.
+   - Need-payoff information: Customer's needs, helping customers realize value of solutions.
+   - Additional info: Information that does not fit in the above SPIN-categories, but that can be commercially interesting.
   The SPIN questions:
-  - At max {nr_of_spin_questions} questions to complete the SPIN-context of the customer, as a markdown list without '```'.
+  - At max {nr_of_questions} questions to complete the SPIN-context of the customer, as a markdown list without '```'.
   Potential Customer Indication:
   - An indication if - given the current SPIN - this could be a good customer (True) or not (False).
   {custom_expected_output}