Deleted stale code

agentops/enums.py

@@ -8,21 +8,6 @@ class EventType(Enum):
     TOOL = "tools"
     ERROR = "errors"
 
-
-class Models(Enum):
-    GPT_3_5_TURBO = "gpt-3.5-turbo"
-    GPT_3_5_TURBO_0301 = "gpt-3.5-turbo-0301"
-    GPT_3_5_TURBO_0613 = "gpt-3.5-turbo-0613"
-    GPT_3_5_TURBO_16K = "gpt-3.5-turbo-16k"
-    GPT_3_5_TURBO_16K_0613 = "gpt-3.5-turbo-16k-0613"
-    GPT_4_0314 = "gpt-4-0314"
-    GPT_4 = "gpt-4"
-    GPT_4_32K = "gpt-4-32k"
-    GPT_4_32K_0314 = "gpt-4-32k-0314"
-    GPT_4_0613 = "gpt-4-0613"
-    TEXT_EMBEDDING_ADA_002 = "text-embedding-ada-002"
-
-
 class EndState(Enum):
     SUCCESS = "Success"
     FAIL = "Fail"

agentops/event.py

@@ -5,10 +5,10 @@
     Event: Represents discrete events to be recorded.
 """
 
-from dataclasses import asdict, dataclass, field
+from dataclasses import dataclass, field
 from typing import Any, Dict, List, Optional, Sequence, Union
 from .helpers import get_ISO_time, check_call_stack_for_agent_id
-from .enums import EventType, Models
+from .enums import EventType
 from uuid import UUID, uuid4
 import traceback
 
@@ -72,7 +72,7 @@ class LLMEvent(Event):
     prompt_tokens(int, optional): The number of tokens in the prompt message.
     completion(str, object, optional): The message or returned by the LLM. Preferably in ChatML format which is more fully supported by AgentOps.
     completion_tokens(int, optional): The number of tokens in the completion message.
-    model(Models, str, optional): LLM model e.g. "gpt-4". Models defined in enums.Models are more fully supported by AgentOps e.g. extra features in dashboard.
+    model(str, optional): LLM model e.g. "gpt-4".
 
     """