Address copilot feedback

modules/llama_cpp_server.py

@@ -136,7 +136,7 @@ class LlamaServer:
 
         logit_bias = []
         if state['custom_token_bans']:
-            logit_bias.extend([[int(token_id), False] for token_id in state['custom_token_bans'].split(',')])
+            logit_bias.extend([[int(token_id.strip()), False] for token_id in state['custom_token_bans'].split(',') if token_id.strip()])
 
         if state.get('logit_bias'):
             for token_id_str, bias in state['logit_bias'].items():

modules/models_settings.py

@@ -431,7 +431,8 @@ def load_instruction_template(template):
     else:
         return ''
 
-    file_contents = open(filepath, 'r', encoding='utf-8').read()
+    with open(filepath, 'r', encoding='utf-8') as f:
+        file_contents = f.read()
     data = yaml.safe_load(file_contents)
     if 'instruction_template' in data:
         return data['instruction_template']

modules/text_generation.py

@@ -378,7 +378,7 @@ def generate_reply_HF(question, original_question, state, stopping_strings=None,
         generate_params['sampler_priority'] = [x.strip() for x in state['sampler_priority'].replace('\n', ',').split(',') if x.strip()]
 
     if state['custom_token_bans']:
-        to_ban = [int(x) for x in state['custom_token_bans'].split(',')]
+        to_ban = [int(x.strip()) for x in state['custom_token_bans'].split(',') if x.strip()]
         if len(to_ban) > 0:
             if generate_params.get('suppress_tokens', None):
                 generate_params['suppress_tokens'] += to_ban

modules/tool_use.py

@@ -42,6 +42,9 @@ def load_tools(selected_names):
             continue
 
         func_name = tool_def.get('function', {}).get('name', name)
+        if func_name in executors:
+            logger.warning(f'Tool "{name}" declares function name "{func_name}" which conflicts with an already loaded tool. Skipping.')
+            continue
         tool_defs.append(tool_def)
         executors[func_name] = execute_fn