fix(makeprompt.py): add api_key parameter to the generate_response function call to fix missing api_key error

fix(openaicaller.py): fix import statement for num_tokens_from_messages function
refactor(openaicaller.py): remove unused api_key parameter from openai_caller class constructor
refactor(openaicaller.py): change generate_response and moderation methods to accept variable number of arguments
refactor(openaicaller.py): change error_call parameter to be optional and provide a default function if not provided
refactor(openaicaller.py): remove unused api_key parameter from generate_response and moderation methods
refactor(openaicaller.py): remove unused api_key parameter from main function

src/makeprompt.py

@@ -111,6 +111,7 @@ async def chatgpt_process(
     )
     response = await caller.generate_response(
         error_call,
+        api_key=api_key,
         model=model,
         messages=msgs,
         functions=called_functions,

src/utils/openaicaller.py

@@ -32,7 +32,7 @@ from openai.error import (
     AuthenticationError,
     ServiceUnavailableError,
 )
-from src.utils.tokens import num_tokens_from_messages
+from utils.tokens import num_tokens_from_messages
 
 
 class bcolors:
@@ -77,12 +77,19 @@ models_max_tokens = {
 
 
 class openai_caller:
-    def __init__(self, api_key=None) -> None:
+    def __init__(self) -> None:
-        self.api_key = api_key
+        pass
 
-    async def generate_response(self, error_call=None, **kwargs):
+    # async def generate_response(self, error_call=None, **kwargs):
-        if error_call is None:
+    async def generate_response(*args, **kwargs):
-            error_call = lambda x: 2  # do nothing
+        self = args[0]
+        if len(args) > 1:
+            error_call = args[1]
+        else:
+
+            async def nothing(x):
+                return x
+            error_call = nothing
         if kwargs.get("model", "") in chat_models:
             return await self.chat_generate(error_call, **kwargs)
         elif kwargs.get("engine", "") in text_models:
@@ -99,16 +106,24 @@ class openai_caller:
                 f"{bcolors.BOLD}{bcolors.WARNING}Warning: Too many tokens. Removing first message.{bcolors.ENDC}"
             )
             tokens = await num_tokens_from_messages(kwargs["messages"], kwargs["model"])
-        kwargs["api_key"] = self.api_key
+        if kwargs.get("api_key", None) == None:
+            raise ValueError("API key not set")
         callable = lambda: openai_module.ChatCompletion.acreate(**kwargs)
         response = await self.retryal_call(recall_func, callable)
         return response
 
-    async def moderation(self, recall_func=None, **kwargs):
+    async def moderation(*args, **kwargs):
-        if recall_func is None:
+        self = args[0]
-            recall_func = lambda x: 2
+        if len(args) > 1:
+            error_call = args[1]
+        else:
+
+            async def nothing(x):
+                return x
+
+            error_call = nothing
         callable = lambda: openai_module.Moderation.acreate(**kwargs)
-        response = await self.retryal_call(recall_func, callable)
+        response = await self.retryal_call(error_call, callable)
         return response
 
     async def retryal_call(self, recall_func, callable):
@@ -154,7 +169,7 @@ class openai_caller:
                 print(
                     f"\n\n{bcolors.BOLD}{bcolors.FAIL}InvalidRequestError. Please check your request.{bcolors.ENDC}"
                 )
-                await recall_func()
+                await recall_func("`InvalidRequestError. Please check your request.`")
                 raise e
             except AuthenticationError as e:
                 print(
@@ -187,6 +202,7 @@ if __name__ == "__main__":
     async def main():
         openai = openai_caller(api_key="sk-")
         response = await openai.generate_response(
+            api_key="sk-",
             model="gpt-3.5-turbo",
             messages=[{"role": "user", "content": "ping"}],
             max_tokens=5,