chat_gpt -> chatgpt

README.md

@@ -25,10 +25,10 @@ MQ:
   port: <MQ Port>
   server: <MQ Hostname or IP>
   users:
-    neon_llm_chat_gpt:
+    neon_llm_chatgpt:
       password: <neon_chatgpt user's password>
       user: neon_chatgpt
-LLM_CHAT_GPT:
+LLM_CHATGPT:
   key: ""
   model: "gpt-3.5-turbo"
   role: "You are trying to give a short answer in less than 40 words."
@@ -41,15 +41,15 @@ To add support for Chatbotsforum personas, a list of names and prompts can be ad
 to configuration:
 ```yaml
 llm_bots:
-  chat_gpt:
+  chatgpt:
     - name: tutor
       description: |
         You are an AI bot that specializes in tutoring and guiding learners.
         Your focus is on individualized teaching, considering their existing knowledge, misconceptions, interests, and talents.
         Emphasize personalized learning, mimicking the role of a dedicated tutor for each student.
         You're attempting to provide a concise response within a 40-word limit.
 ```
-> `chat_gpt` is the MQ service name for this service; each bot has a `name` that
+> `chatgpt` is the MQ service name for this service; each bot has a `name` that
 > is used to identify the persona in chats and `description` is the prompt passed
 > to ChatGPT.
 

docker_overlay/etc/neon/diana.yaml

@@ -15,14 +15,14 @@ MQ:
     mq_handler:
       user: neon_api_utils
       password: Klatchat2021
-LLM_CHAT_GPT:
+LLM_CHATGPT:
   model: "gpt-3.5-turbo"
   role: "You are trying to give a short answer in less than 40 words."
   context_depth: 3
   max_tokens: 100
   num_parallel_processes: 2
 #llm_bots:
-#  chat_gpt:
+#  chatgpt:
 #    - name: urban_logic
 #      description: |
 #        You are an AI bot that specializes in smart city planning.

neon_llm_chatgpt/rmq.py

@@ -39,7 +39,7 @@ def __init__(self):
 
     @property
     def name(self):
-        return "chat_gpt"
+        return "chatgpt"
 
     @property
     def model(self):