- New version of RAG_SPECIALIST and RAG_AGENT, including definition of conversation_purpose and response_depth.

eveai_chat_workers/definitions/channel_adaptation/channel_adaptation_v1_0.py

@@ -0,0 +1,30 @@
+CHANNEL_ADAPTATION = [
+    {
+        "name": "Mobile Chat/Text",
+        "description": "Short, scannable messages. Uses bullet points, emojis, and concise language.",
+        "when_to_use": "Instant messaging, SMS, or chatbots."
+    },
+    {
+        "name": "Voice/Spoken",
+        "description": "Natural, conversational language. Includes pauses, intonation, and simple sentences.",
+        "when_to_use": "Voice assistants, phone calls, or voice-enabled apps."
+    },
+    {
+        "name": "Email/Formal Text",
+        "description": "Structured, polished, and professional. Uses paragraphs and clear formatting.",
+        "when_to_use": "Emails, reports, or official documentation."
+    },
+    {
+        "name": "Multimodal",
+        "description": "Combines text with visuals, buttons, or interactive elements for clarity and engagement.",
+        "when_to_use": "Websites, apps, or platforms supporting rich media."
+    }
+]
+
+def get_channel_adaptation_context(channel_adaptation:str) -> str:
+  selected_channel_adaptation = next(
+    (item for item in CHANNEL_ADAPTATION if item["name"] == channel_adaptation),
+    None
+  )
+  channel_adaptation_context = f"{selected_channel_adaptation['description']}"
+  return channel_adaptation_context