- cleanup of old TASKs, AGENTs and SPECIALISTs

- Add additional configuration options to agent (temperature and model choice)
- Define new PROOFREADING Agents and Tasks

eveai_chat_workers/definitions/response_depth/response_depth_v1_0.py

@@ -1,17 +1,17 @@
 RESPONSE_DEPTH = [
     {
         "name": "Concise",
-        "description": "Short, direct answers. No extra explanation or context.",
+        "description": "Short, direct answers. No extra explanation or context. Remove unnecessary details. Only a few sentences.",
         "when_to_use": "Quick queries, urgent requests, or when the user prefers brevity."
     },
     {
         "name": "Balanced",
-        "description": "Clear answers with minimal context or next steps. Not too short, not too detailed.",
+        "description": "Clear answers with minimal context or next steps. Not too short, not too detailed. Max 2 paragraphs.",
         "when_to_use": "General interactions, FAQs, or when the user needs a mix of speed and clarity."
     },
     {
         "name": "Detailed",
-        "description": "Comprehensive answers with background, examples, or step-by-step guidance.",
+        "description": "Comprehensive answers with background, examples, ... the answer can be detailed with chapters, paragraphs, ...",
         "when_to_use": "Complex topics, tutorials, or when the user requests in-depth information."
     }
 ]

eveai_chat_workers/outputs/globals/rag/rag_v1_0.py

@@ -4,7 +4,7 @@ from pydantic import BaseModel, Field
 
 
 class RAGOutput(BaseModel):
-    answer: str = Field(None, description="Answer to the questions asked, in Markdown format.")
+    answer: str = Field(None, description="Final answer to the question asked, in Markdown format.")
     insufficient_info: bool = Field(None, description="An indication if there's insufficient information to answer")
 
     model_config = {