- 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/IDENTIFICATION_DETECTION_TASK/1.0.0.yaml

@@ -1,13 +1,22 @@
 version: "1.0.0"
 name: "Identification Gathering"
 task_description: >
-  Detect and pass on identification information in the ongoing conversation, from within the following information:
-    {question}
-  Add to or refine the following already gathered identification information (between triple $)
-    $$${Identification}$$$
+  You are asked to gather lead information in a conversation with a new prospect. This is information about the person
+  participating in the conversation, and information on the company he or she is working for. Try to be as precise as
+  possible.
+  Take into account information already gathered in the history (between triple backquotes) and add information found in
+  the latest reply.
+  
+  history:
+    ```{history}```
+  latest reply:
+    {query}
+  
   {custom_description}
 expected_output: >
-  Identification information such as name, email, phone number, company, role, company website, ...
+  - Personal Identification information such as name, email, phone number, job title, and any additional information that
+  may prove to be interesting in the current or future conversations.
+  - Company information such as company name, industry, size, company website, ...
   {custom_expected_output}
 metadata:
   author: "Josako"