Token counter

bot.py

@@ -40,8 +40,8 @@ import tiktoken
 from discord.ext import commands
 from spotipy.oauth2 import SpotifyClientCredentials
 
+import yt_dlp
 from spotify_dl import youtube as youtube_download
-
 from spotify_dl import spotify
 
 Music_Config = TypedDict(
@@ -592,28 +592,41 @@ async def handle_response(prompt, vykidailo, bartender, history, username, music
             # convert back to json.
             json.dump(file_data, file_memory, indent=4)
     history = []
-    tokens = 0
     history.append(GPT_SETTINGS[0])
-    tokens += num_tokens_from_string(GPT_SETTINGS[0]["content"], "gpt-4")
+    tokens = num_tokens_from_string(GPT_SETTINGS[0]["content"], "gpt-4")
     for (slowo, reakcja) in word_reactions.items():
         if not reakcja[3]:
-            temp = {"role": "system", "content": "Kiedy słyszysz " + slowo + " to reagujesz lub dzieje się to " + reakcja[0]}
+            content = "Kiedy słyszysz " + slowo + " to reagujesz lub dzieje się to " + reakcja[0]
-            tokens += num_tokens_from_string(temp["content"], "gpt-4")
+            temp = {"role": "system", "content": content}
+            tokens += num_tokens_from_string(content, "gpt-4")
             history.append(temp)
 
-    logger.error("Liczba tokenów %s", tokens)
+    final_prompt = username + ":" + prompt
+    logger.error("Liczba tokenów przed dodaniem historii %s", tokens)
     if music:
-        history.extend(message_table_muzyka[-20:0])
+        algorithm = "gpt-3.5-turbo-16k"
-        response = await openai.ChatCompletion.acreate(
+        table = message_table_muzyka
-            model="gpt-3.5-turbo-16k", messages=history
+        token_amount = 16000
-        )
     else:
-        history.extend(MESSAGE_TABLE[-20:0])
+        table = MESSAGE_TABLE
-        response = await openai.ChatCompletion.acreate(
+        algorithm = "gpt-4"
-            model="gpt-3.5-turbo-16k", messages=history
+        token_amount = 80000
+
+    prompt_tokens = num_tokens_from_string(final_prompt, "gpt-4")
+    for i in reversed(table):
+        temp_token = num_tokens_from_string(i["content"], "gpt-4")
+        if tokens < token_amount + prompt_tokens + temp_token:
+            history.append(i)
+            tokens += temp_token
+
+    temp = {"role": "user", "content": final_prompt}
+    history.append(temp)
+    response = await openai.ChatCompletion.acreate(
+            model=algorithm, messages=history
         )
+    logger.error("Liczba tokenów przed dodaniem historii %s", tokens)
     logger.info("Historia wysłana:")
-    logger.debug(history)
+    logger.info(history)
     await asyncio.sleep(10)
     result = ""
     logger.debug("Odpowiedzi")