- 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/outputs/rag/rag_v1_0.py

@@ -0,0 +1,9 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class RAGOutput(BaseModel):
+    answer: Optional[str] = Field(None, description="Answer to the questions asked")
+    citations: Optional[List[str]] = Field(None, description="A list of sources used in generating the answer")
+    insufficient_info: Optional[bool] = Field(None, description="An indication if there's insufficient information to answer")