- 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/type_defs/agent_types.py

@@ -16,6 +16,10 @@ AGENT_TYPES = {
         "name": "Rag Agent",
         "description": "An Agent that does RAG based on a user's question, RAG content & history",
     },
+    "RAG_COMMUNICATION_AGENT": {
+        "name": "Rag Communication Agent",
+        "description": "An Agent that consolidates both answers and questions in a consistent reply",
+    },
     "SPIN_DETECTION_AGENT": {
         "name": "SPIN Sales Assistant",
         "description": "An Agent that detects SPIN information in an ongoing conversation",

config/type_defs/prompt_types.py

@@ -0,0 +1,31 @@
+# Agent Types
+PROMPT_TYPES = {
+    "encyclopedia": {
+        "name": "encyclopedia",
+        "description": "A background information retriever for Evie",
+    },
+    "history": {
+        "name": "history",
+        "description": "Prompt to further detail a question based on the previous conversation",
+    },
+    "html_parse": {
+        "name": "html_parse",
+        "description": "An aid in transforming HTML-based inputs to markdown",
+    },
+    "pdf_parse": {
+        "name": "pdf_parse",
+        "description": "An assistant to parse PDF-content into markdown",
+    },
+    "rag": {
+        "name": "rag",
+        "description": "The Main RAG retriever",
+    },
+    "summary": {
+        "name": "summary",
+        "description": "An assistant to create a summary when multiple chunks are required for 1 file",
+    },
+    "transcript": {
+        "name": "transcript",
+        "description": "An assistant to transform a transcript to markdown.",
+    },
+}

config/type_defs/retriever_types.py

@@ -2,30 +2,6 @@
 RETRIEVER_TYPES = {
     "STANDARD_RAG": {
         "name": "Standard RAG Retriever",
-        "description": "Retrieving all embeddings conform the query",
-        "configuration": {
-            "es_k": {
-                "name": "es_k",
-                "type": "int",
-                "description": "K-value to retrieve embeddings (max embeddings retrieved)",
-                "required": True,
-                "default": 8,
-            },
-            "es_similarity_threshold": {
-                "name": "es_similarity_threshold",
-                "type": "float",
-                "description": "Similarity threshold for retrieving embeddings",
-                "required": True,
-                "default": 0.3,
-            },
-        },
-        "arguments": {
-            "query": {
-                "name": "query",
-                "type": "str",
-                "description": "Query to retrieve embeddings",
-                "required": True,
-            },
-        }
+        "description": "Retrieving all embeddings from the catalog conform the query",
     }
 }

config/type_defs/service_types.py

@@ -11,5 +11,9 @@ SERVICE_TYPES = {
     "DEPLOY_API": {
         "name": "DEPLOY_API",
         "description": "Service allows to use deployment API functionality.",
+    },
+    "SPECIALIST_API": {
+        "name": "SPECIALIST_API",
+        "description": "Service allows to use specialist execution API functionality.",
     }
 }

config/type_defs/specialist_types.py

@@ -1,6 +1,6 @@
 # Specialist Types
 SPECIALIST_TYPES = {
-    "STANDARD_RAG": {
+    "STANDARD_RAG_SPECIALIST": {
         "name": "Q&A RAG Specialist",
         "description": "Standard Q&A through RAG Specialist",
     },

config/type_defs/task_types.py

@@ -28,4 +28,8 @@ TASK_TYPES = {
         "name": "SPIN Question Identification",
         "description": "A Task that identifies questions to complete the SPIN context in a conversation",
     },
+    "RAG_CONSOLIDATION_TASK": {
+        "name": "RAG Consolidation",
+        "description": "A Task to consolidate questions and answers",
+    }
 }