reduced some logging chatter

src/agentic/actor_agents.py

@@ -102,7 +102,6 @@ class AgentPauseContext:
     import ray
 
 else:
-    print("Using simple Thread engine for running agents")
     from .ray_mock import ray
 
 _AGENT_REGISTRY = []
@@ -709,7 +708,7 @@ def custom_callback(kwargs, completion_response, start_time, end_time):
 
 
         # Debug: Check if we have reasoning content
-        if self.debug.debug_all():
+        if self.debug.debug_reasoning():
             debug_print(self.debug.debug_all(), f"Checking for reasoning content...")
             debug_print(self.debug.debug_all(), f"Choice object attributes: {[attr for attr in dir(choice) if not attr.startswith('_')]}")
             debug_print(self.debug.debug_all(), f"Message object attributes: {[attr for attr in dir(message) if not attr.startswith('_')]}")
@@ -1474,6 +1473,9 @@ def next_turn(self, request: str | Prompt, request_context: dict = {},
                     request_id=request_id,
                 )
             )
+            # There's some logical issue where we have inserted 'thread_id' into the request_context, but
+            # we already made the request a Prompt with a context that was missing the thread id
+            prompt.request_context.update(request_context)
 
 
             # Transmit depth through the Prompt

src/agentic/db/db_manager.py

@@ -76,13 +76,11 @@ def _add_depth_column_if_missing(db_path: str):
         columns = [column[1] for column in cursor.fetchall()]
 
         if 'depth' not in columns:
-            print("Adding depth column to thread_logs table...")
             try:
                 cursor.execute("ALTER TABLE thread_logs ADD COLUMN depth INTEGER DEFAULT 0;")
                 conn.commit()
-                print("Depth column added successfully!")
             except sqlite3.OperationalError as e:
-                print(f"Error adding depth column: {e}")
+                pass
 
         conn.close()
 

src/agentic/events.py

@@ -272,7 +272,14 @@ def __init__(self, agent: str, name: str, arguments: dict, depth: int = 0, tool_
 
     def __str__(self):
         name = self.payload["name"]
-        return "  " * (self.depth + 1) + f"[TOOL: {name} >> ({self.arguments})]\n"
+        print_args = self.arguments.copy()
+        if 'run_context' in print_args or 'thread_context' in print_args:
+            rc_arg = print_args.pop('run_context', print_args.pop('thread_context', None))
+            print_args.pop('run_context', None)
+            print_args.pop('thread_context', None)
+            if rc_arg:
+                print_args['run_context'] = rc_arg.get_context().keys()
+        return "  " * (self.depth + 1) + f"[TOOL: {name} >> ({print_args})]\n"
 
     def to_llm_message(self) -> Optional[Dict[str, Any]]:
         """Convert event to LLM message format"""

src/agentic/swarm/types.py

@@ -56,6 +56,9 @@ def debug_llm(self):
     def debug_agents(self):
         return self.level == "all" or "agents" in self.level
 
+    def debug_reasoning(self):
+        return "reasoning" in self.level
+
     def debug_all(self):
         return self.level == "all"