Removed execute_chat_prompt function

euclid/prompts/prompts.py

@@ -156,53 +156,3 @@ def generate_messages_from_custom_conversation(role, messages, start_role='user'
             result.append({"role": "assistant" if start_role == "user" else "user", "content": message})
 
     return result
-
-
-def execute_chat_prompt(prompt_file, prompt_data, chat_type, previous_messages=None, function_calls=None):
-    # Generate a prompt for the completion type.
-    prompt = get_prompt(prompt_file, prompt_data)
-    new_message = {"role": "user", "content": prompt}
-
-    if previous_messages:
-        # Use the provided previous_messages instead of the default system message.
-        messages = previous_messages + [new_message]
-    else:
-        # Use the default system message.
-        messages = [
-            get_sys_message(find_role_from_step(chat_type)),
-            new_message,
-        ]
-
-    # TODO remove this once the database is set up properly
-    for message in messages:
-        if isinstance(message['content'], list):
-            message['content'] = '\n'.join(message['content'])
-        else:
-            message['content'] = str(message['content'])
-    # TODO END
-
-    response = create_gpt_chat_completion(messages, chat_type, function_calls=function_calls)
-
-    # TODO handle errors from OpenAI
-    if response == {}:
-        raise Exception("OpenAI API error happened.")
-    
-    # TODO we need to specify the response when there is a function called
-    # TODO maybe we can have a specific function that creates the GPT response from the function call
-    messages.append({"role": "assistant", "content": response['text'] if 'text' in response else str(response['function_calls']['name'])})
-    print_msg = capitalize_first_word_with_underscores(chat_type)
-    print(colored(f"{print_msg}:\n", "green"))
-    print(f"{response['text'] if 'text' in response else str(response['function_calls']['name'])}\n")
-    logger.info(f"{print_msg}: {response}\n")
-    
-    if 'function_calls' in response and function_calls is not None:
-        if 'send_messages_and_step' in function_calls:
-            response['function_calls']['arguments']['previous_messages']  = messages
-            response['function_calls']['arguments']['current_step'] = chat_type
-        response, msgs = function_calls['functions'][response['function_calls']['name']](**response['function_calls']['arguments'])
-        if msgs is not None:
-            messages = msgs
-    elif 'text' in response:
-        response = response['text']
-
-    return response, messages