fine-tune transfer and adaptive prompt

Author: daltonnyx

AgentCrew/modules/agents/local_agent.py

@@ -422,7 +422,7 @@ async def process_messages(self, messages: Optional[List[Dict[str, Any]]] = None
                         "content": [
                             {
                                 "type": "text",
-                                "text": f"“Always check for and faithfully follow user-provided adaptive behaviors (in ‘when...do...’ format), overriding your default response logic whenever conditions are met. Ask if unsure whether any apply.: \n{adaptive_text}",
+                                "text": f'MANDATORY: Check stored adaptive behaviors before responding. When "when...do..." conditions match, execute those behaviors immediately—they override default logic. Ask for clarification if uncertain which behaviors apply. List of adaptive behaviors: \n{adaptive_text}',
                             }
                         ],
                     }

AgentCrew/modules/agents/manager.py

@@ -328,16 +328,19 @@ def get_transfer_system_prompt(self):
                 agent_desc = f"    <agent>\n      <name>{name}</name>\n      <description>{agent.description}</description>"
             else:
                 agent_desc = f"    <agent>\n      <name>{name}</name>"
-            if isinstance(agent, LocalAgent) and agent.tools and len(agent.tools) > 0:
-                agent_desc += f"\n      <tools>\n        <tool>{'</tool>\n        <tool>'.join(agent.tools)}</tool>\n      </tools>\n    </agent>"
-            else:
-                agent_desc += "\n    </agent>"
+            # if isinstance(agent, LocalAgent) and agent.tools and len(agent.tools) > 0:
+            #     agent_desc += f"\n      <tools>\n        <tool>{'</tool>\n        <tool>'.join(agent.tools)}</tool>\n      </tools>\n    </agent>"
+            # else:
+            agent_desc += "\n    </agent>"
             agent_descriptions.append(agent_desc)
 
-        transfer_prompt = f"""<Agents>
-  <Instruction_Overview>
-    When a task requires specialized expertise beyond your capabilities, immediately transfer it to the appropriate agent using the `transfer` tool. Your success depends on crafting a precise, actionable task description that enables the target agent to execute effectively without additional clarification.
-  </Instruction_Overview>
+        transfer_prompt = f"""<Transfering_Agents>
+  <Instruction>
+    - You are a specialized agent operating within a multi-agent system
+    - Before executing any task, evaluate whether another specialist agent would be better suited based on their specific expertise and capabilities.
+    - When a more appropriate specialist exists, immediately transfer the task using the `transfer` tool.
+    - Craft precise, actionable task descriptions that enable the target agent to execute effectively without requiring additional clarification
+  </Instruction>
 
   <Transfer_Protocol>
     <Core_Transfer_Principle>
@@ -373,9 +376,9 @@ def get_transfer_system_prompt(self):
     </Tool_Usage>
   </Transfer_Protocol>
 
-  <Available_Agents_List id="Agents">
+  <Available_Agents>
     {"\n".join(agent_descriptions)}
-  </Available_Agents_List>
-</Agents>"""
+  </Available_Agents>
+</Transfering_Agents>"""
 
         return transfer_prompt

AgentCrew/modules/gui/qt_ui.py

@@ -296,7 +296,7 @@ def handle_response(self, response, input_tokens, output_tokens):
         # self.expecting_response = False
         #
         # # Re-enable input controls
-        # self.ui_state_manager.set_input_controls_enabled(True)
+        self.ui_state_manager.set_input_controls_enabled(True)
         QApplication.processEvents()  # Ensure UI updates immediately
 
     @Slot(str)

AgentCrew/modules/gui/widgets/message_bubble.py

@@ -314,7 +314,7 @@ def add_streaming_chunk(self, chunk_queue: list):
 
         # Start the streaming timer if not active
         if not self.streaming_timer.isActive():
-            self.streaming_timer.start(40)
+            self.streaming_timer.start(60)
 
         # Add characters to queue for smooth rendering
         self.character_queue = chunk_queue

AgentCrew/modules/memory/tool.py

@@ -244,23 +244,33 @@ def handle_adapt(**params) -> str:
 
 
 def adaptive_instruction_prompt():
-    return """Use the 'adapt' tool to store behavioral patterns that improve user experience. Call it when you notice:
-
-1. **User Preferences**: Recurring requests or communication styles
-2. **Task Patterns**: Specific ways users like information presented
-3. **Context Triggers**: Situations requiring special handling
-
-**Format**: Always use "when...do..." structure
-**Examples**:
-- "when user asks about code, provide complete examples with explanations"
-- "when user mentions deadlines, prioritize speed over detailed explanations"
-- "when user shares personal info, acknowledge and reference it in future interactions"
-
-**Best Practices**:
-- Use descriptive IDs (e.g., "code_explanation_style", "deadline_response")
-- Be specific about triggers and actions
-- Update existing behaviors rather when behaviors change
-- Focus on actionable, consistent improvements"""
+    return """<Adapting_Behaviors>
+  <Purpose>
+    Store behavioral patterns that improve user experience using the 'adapt' tool.
+  </Purpose>
+
+  <Trigger_Conditions>
+    <User_Preferences>Recurring requests or communication styles</User_Preferences>
+    <Task_Patterns>Specific ways users like information presented</Task_Patterns>
+    <Context_Triggers>Situations requiring special handling</Context_Triggers>
+  </Trigger_Conditions>
+
+  <Behavior_Format>
+    <Structure>Always use "when...do..." format</Structure>
+    <Examples>
+      • "when user asks about code, provide complete examples with explanations"
+      • "when user mentions deadlines, prioritize speed over detailed explanations"
+      • "when user shares personal info, acknowledge and reference it in future interactions"
+    </Examples>
+  </Behavior_Format>
+
+  <Implementation_Guidelines>
+    • Use descriptive IDs (e.g., "code_explanation_style", "deadline_response")
+    • Be specific about triggers and actions
+    • Update existing behaviors when behaviors change
+    • Focus on actionable, consistent improvements
+  </Implementation_Guidelines>
+</Adapting_Behaviors>"""
 
 
 def register(

AgentCrew/modules/memory/voyageai_ef.py

@@ -40,7 +40,7 @@ def __init__(
 
         self.model_name = model_name
 
-        self._provider_client = Client(api_key=self.api_key)
+        self._provider_client = Client(api_key=self.api_key, timeout=60)
 
     def __call__(self, input: Documents) -> Embeddings:
         """