:recycle: [Refactor] Rename gpt-3.5 to gpt-3.5-turbo

apis/chat_api.py

@@ -89,7 +89,7 @@ class ChatAPIApp:
     def chat_completions(
         self, item: ChatCompletionsPostItem, api_key: str = Depends(extract_api_key)
     ):
-        if item.model == "gpt-3.5":
+        if item.model == "gpt-3.5-turbo":
             streamer = OpenaiStreamer()
             stream_response = streamer.chat_response(messages=item.messages)
         else:

constants/models.py

@@ -22,7 +22,7 @@ TOKEN_LIMIT_MAP = {
     "mistral-7b": 32768,
     "openchat-3.5": 8192,
     "gemma-7b": 8192,
-    "gpt-3.5": 8192,
+    "gpt-3.5-turbo": 8192,
 }
 
 TOKEN_RESERVED = 20
@@ -34,7 +34,7 @@ AVAILABLE_MODELS = [
     "mistral-7b",
     "openchat-3.5",
     "gemma-7b",
-    "gpt-3.5",
+    "gpt-3.5-turbo",
 ]
 
 # https://platform.openai.com/docs/api-reference/models/list
@@ -75,7 +75,7 @@ AVAILABLE_MODELS_DICTS = [
         "owned_by": "Google",
     },
     {
-        "id": "gpt-3.5",
+        "id": "gpt-3.5-turbo",
         "description": "[openai/gpt-3.5-turbo]: https://platform.openai.com/docs/models/gpt-3-5-turbo",
         "object": "model",
         "created": 1700000000,

networks/openai_streamer.py

@@ -149,8 +149,10 @@ class OpenaiRequester:
 
 class OpenaiStreamer:
     def __init__(self):
-        self.model = "gpt-3.5"
-        self.message_outputer = OpenaiStreamOutputer(owned_by="openai", model="gpt-3.5")
+        self.model = "gpt-3.5-turbo"
+        self.message_outputer = OpenaiStreamOutputer(
+            owned_by="openai", model="gpt-3.5-turbo"
+        )
         self.tokenizer = tiktoken.get_encoding("cl100k_base")
 
     def count_tokens(self, messages: list[dict]):