diff --git a/src/agent_gsm.py b/src/agent_gsm.py
index 548c791..a2a508b 100644
--- a/src/agent_gsm.py
+++ b/src/agent_gsm.py
@@ -69,23 +69,23 @@ def detect_degraded_signal(file_test: Path, file_reference: Path) -> SignalBound
         # Seems some problem with recording, return zero boundaries
         return SignalBoundaries()
     
+    r = SignalBoundaries()
     if CONFIG.UseSpeechDetector:
         r = bt_signal.find_reference_signal_via_speechdetector(file_test)
-    else:
-        r = bt_signal.find_reference_signal(file_test)
     
     if r.offset_start == 0.0 and is_caller:
         r.offset_start = 5.0 # Skip ringing tones
+
     return r
 
 
 
 def detect_reference_signal(file_reference: Path) -> SignalBoundaries:
     # Run silence eraser on reference file as well
+    result = SignalBoundaries()
     if CONFIG.UseSpeechDetector:
         result = bt_signal.find_reference_signal_via_speechdetector(file_reference)
-    else:
-        result = bt_signal.find_reference_signal(file_reference)
+    
     return result
 
 
@@ -358,6 +358,7 @@ def run_caller_task(t):
 # Runs caller probe - load task list and perform calls
 def run_probe():
     global TASK_LIST, CURRENT_TASK
+    offline_mode : bool = False
 
     while True:
         # Get task list update
@@ -366,6 +367,7 @@ def run_probe():
             # Check in cache
             utils.log('Checking for task list in cache...')
             new_tasks = CACHE.get_tasks(BACKEND.phone.name)
+            offline_mode = True
 
         # Did we fetch anything ?
         if new_tasks:
@@ -401,8 +403,10 @@ def run_probe():
                         # Remove sheduled time
                         del t['scheduled_time']
                         
-                        # Run task
-                        run_caller_task(t)
+                        # Run task if we are online
+                        # Otherwise tasks run from the API point - via helper .apk
+                        if not offline_mode:
+                            run_caller_task(t)
                         
                         utils.log_verbose(f'Call #{CALL_COUNTER.value} finished')
                         if CALL_COUNTER.value >= CONFIG.TaskLimit and CONFIG.TaskLimit > 0:
@@ -428,13 +432,16 @@ def run_probe():
                 utils.log('Web task queue is None')
 
             task = agent_point.WEB_QUEUE.get(block=True, timeout=timeout_time)
-
+            
             if task is not None:
                 run_caller_task(task)
-        except:
-            # Do nothing here, it is normal to get exception
-            
+        
+        except multiprocessing.Queue.empty:
+            # Ignore this exception, this is normal
             pass
+        except Exception as err:
+            utils.log_error(message='Error when running t')
+            
 
         # In case of empty task list wait 1 minute before refresh
         # if len(TASK_LIST.tasks) == 0:
diff --git a/src/agent_point.py b/src/agent_point.py
index e77ed2b..31655f2 100755
--- a/src/agent_point.py
+++ b/src/agent_point.py
@@ -112,7 +112,7 @@ def start():
     global ACCESS_POINT, SERVER_PROCESS
 
     ACCESS_POINT.start()
-    SERVER_PROCESS = multiprocessing.Process(target=web_process, args=(None,))
+    SERVER_PROCESS = multiprocessing.Process(target=web_process, args=(None,), name='agent_gsm_web')
     SERVER_PROCESS.start()
 
 def stop():
diff --git a/src/bt_signal.py b/src/bt_signal.py
index bcb7f5c..2d7980f 100644
--- a/src/bt_signal.py
+++ b/src/bt_signal.py
@@ -6,36 +6,36 @@ import pathlib
 from utils_types import SignalBoundaries
 from utils_sevana import speech_detector
 
-from pydub import silence, AudioSegment
+# from pydub import silence, AudioSegment
 
 SILENCE_DELTA = 16
 
-def find_reference_signal(input_file: pathlib.Path, output_file: pathlib.Path = None, use_end_offset: bool = True) -> SignalBoundaries:
-    myaudio = AudioSegment.from_wav(str(input_file))
-    dBFS = myaudio.dBFS
+# def find_reference_signal(input_file: pathlib.Path, output_file: pathlib.Path = None, use_end_offset: bool = True) -> SignalBoundaries:
+#     myaudio = AudioSegment.from_wav(str(input_file))
+#     dBFS = myaudio.dBFS
     
-    # Find silence intervals
-    intervals = silence.detect_nonsilent(myaudio, min_silence_len=1000, silence_thresh=dBFS-SILENCE_DELTA, seek_step=50)
+#     # Find silence intervals
+#     intervals = silence.detect_nonsilent(myaudio, min_silence_len=1000, silence_thresh=dBFS-SILENCE_DELTA, seek_step=50)
     
-    # Translate to seconds
-    intervals = [((start/1000),(stop/1000)) for start,stop in intervals] # in sec
+#     # Translate to seconds
+#     intervals = [((start/1000),(stop/1000)) for start,stop in intervals] # in sec
 
-    # print(intervals)
+#     # print(intervals)
 
-    # Example of intervals: [(5.4, 6.4), (18.7, 37.05)]
-    for p in intervals:
-        if p[1] - p[0] > 17:
-            bounds = SignalBoundaries(offset_start=p[0], offset_finish=p[1])
-            if output_file is not None:
-                signal = myaudio[bounds.offset_start * 1000 : bounds.offset_finish * 1000]
-                signal.export(str(output_file), format='wav', parameters=['-ar', '44100', '-sample_fmt', 's16'])
+#     # Example of intervals: [(5.4, 6.4), (18.7, 37.05)]
+#     for p in intervals:
+#         if p[1] - p[0] > 17:
+#             bounds = SignalBoundaries(offset_start=p[0], offset_finish=p[1])
+#             if output_file is not None:
+#                 signal = myaudio[bounds.offset_start * 1000 : bounds.offset_finish * 1000]
+#                 signal.export(str(output_file), format='wav', parameters=['-ar', '44100', '-sample_fmt', 's16'])
 
-            if use_end_offset:
-                bounds.offset_finish = myaudio.duration_seconds - bounds.offset_finish
+#             if use_end_offset:
+#                 bounds.offset_finish = myaudio.duration_seconds - bounds.offset_finish
 
-            return bounds
+#             return bounds
 
-    return SignalBoundaries()
+#     return SignalBoundaries()
 
 
 def find_reference_signal_via_speechdetector(input_file: pathlib.Path) -> SignalBoundaries: