Update bolt_app.py for verbose message output

apps/slackbot/bolt_app.py

@@ -61,7 +61,7 @@ def event_test(client, say, event):
     previous_messages = replies['messages'][:-1]
 
     results = get_response(question, previous_messages)
-
+    
     say(results, thread_ts=thread_ts)
 
 @app.event("app_home_opened")
@@ -128,6 +128,38 @@ def hello():
 if 'PINECONE_API_KEY'not in os.environ:
     print("Warning: Pinecone API key not specified. Using local Chroma database.")
     local_memory = LocalChromaStore.from_folder('files', OPENAI_KEY).as_retriever()
+
+# ---- add this for verbose output --- #
+def contains_verbose(query: str) -> bool:
+    '''looks for -verbose in the question and returns True or False'''
+    return "-verbose" in query.lower()
+
+def log_formatter(logger):
+    '''Formats the logger into readable string'''
+    log_strings = []
+    for log in logger:
+
+        reply = log["reply"]
+        if "thoughts" in reply:
+            # reply = json.loads(reply)
+            formatted_reply = f"""-- Step: {log["Step"]} -- \nThoughts: \n {reply["thoughts"]} """
+
+            if "command" in reply: # add command if it exists
+                formatted_reply += f"""\nCommand: \n {reply["command"]}"""
+
+            log_strings.append(formatted_reply)
+
+        else: # for final response
+            formatted_reply = f"""-- Step: {log["Step"]} -- \nFinal Response: \n {reply}"""
+            log_strings.append(formatted_reply)
+
+    log_string = "\n".join(log_strings)
+    return log_string
+
+def remove_verbose(input_string):
+    # Split the string at the first occurrence of "#verbose" and everything after it
+    parts = input_string.split("#verbose", 1)
+    return parts[0]
 
 def get_response(question, previous_messages):
     llm = ChatOpenAI(
@@ -146,14 +178,34 @@ def get_response(question, previous_messages):
 
     tools=get_tools(memory)
     ai_name='Sherpa'
-
     ai_id = bot['user_id']
-    question = question.replace(f'@{ai_id}', f'@{ai_name}')
-
-    task_agent = TaskAgent.from_llm_and_tools(ai_name="Sherpa", ai_role="assistant", ai_id=bot['user_id'], memory=memory, tools=tools, previous_messages = previous_messages, llm=llm)
-    return task_agent.run(question)
-
+
 
+    task_agent = TaskAgent.from_llm_and_tools(ai_name="Sherpa", 
+                                              ai_role="assistant", 
+                                              ai_id=bot['user_id'], 
+                                              memory=memory, tools=tools, 
+                                              previous_messages = previous_messages, 
+                                              llm=llm)
+
+    if contains_verbose(query = question):
+      print("Verbose mode is on")
+      question = question.replace(f'@{ai_id}', f'@{ai_name}')
+      question = question.replace('-verbose', '')
+      response = task_agent.run(question)
+      logger = task_agent.logger # logger is updated after running task_agent.run(question)
+      try:  # in case log_formatter fails
+        verbose_response = response + ' \n #verbose \n ' + log_formatter(logger)
+      except:
+        verbose_response = response + ' \n #verbose \n ' + str(logger)
+
+      return verbose_response
+
+    else:
+      print("Verbose mode is off")
+      question = question.replace(f'@{ai_id}', f'@{ai_name}')
+      response = task_agent.run(question)
+      return response
 
 # Start the server on port 3000
 if __name__ == "__main__":