Delete Message typed dict

agent_jarvis/jarvis/ai_agent/agent_utils.py

@@ -2,7 +2,6 @@ import json
 from typing import Dict
 
 from jarvis.functional_modules.functional_module import CallerContext, moduleRegistry
-from jarvis.gpt.message import Message
 from jarvis.logger import logger
 
 
@@ -16,21 +15,6 @@ def must_not_be_valid_json(s: str):
         return True
     return False
 
-
-def create_chat_message(role, content) -> Message:
-    """
-    Create a chat message with the given role and content.
-
-    Args:
-    role (str): The role of the message sender, e.g., "system", "user", or "assistant".
-    content (str): The content of the message.
-
-    Returns:
-    dict: A dictionary containing the role and content of the message.
-    """
-    return {"role": role, "content": content}
-
-
 def get_thoughts(reply: Dict, assistant_reply_json_valid: dict):
     assistant_thoughts_reasoning = None
     assistant_thoughts_speak = None

agent_jarvis/jarvis/ai_agent/gpt_agent.py

@@ -7,12 +7,10 @@ from typing import Dict, List
 from openai.error import RateLimitError
 
 from jarvis import CFG
-from jarvis.ai_agent.agent_utils import must_not_be_valid_json, get_thoughts, get_function, execute_function, \
+from jarvis.ai_agent.agent_utils import must_not_be_valid_json, get_thoughts, get_function, execute_function
-    create_chat_message
 from jarvis.ai_agent.base_agent import BaseAgent
 from jarvis.functional_modules.functional_module import CallerContext, moduleRegistry
 from jarvis.gpt import token_counter, gpt
-from jarvis.gpt.message import Message
 from jarvis.json_utils.json_fix_llm import fix_json_using_multiple_techniques
 from jarvis.json_utils.utilities import validate_json
 from jarvis.logger import logger
@@ -74,7 +72,7 @@ you: {
 
 class GptAgent(BaseAgent):
     _system_prompt: str
-    _full_message_history: List[Message] = []
+    _full_message_history: List[dict] = []
     _message_tokens: List[int] = []
 
     def __init__(self, caller_context: CallerContext):

agent_jarvis/jarvis/gpt/ai_function.py

@@ -2,7 +2,6 @@ from typing import List
 
 from jarvis import CFG
 from jarvis.gpt import gpt
-from jarvis.gpt.message import Message
 from jarvis.logger import logger
 
 
@@ -27,7 +26,7 @@ async def acall_ai_function(function: str, args: list, description: str, model:
     args = [str(arg) if arg is not None else "None" for arg in args]
     # parse args to comma separated string
     args: str = ", ".join(args)
-    messages: List[Message] = [
+    messages: List[dict] = [
         {
             "role": "system",
             "content": f"You are now the following python function: ```# {description}"

agent_jarvis/jarvis/gpt/gpt.py

@@ -4,7 +4,6 @@ import openai
 from openai.error import RateLimitError, APIError, Timeout
 
 from jarvis import CFG
-from jarvis.gpt.message import Message
 from jarvis.logger import logger
 from typing import Callable
 
@@ -60,7 +59,7 @@ async def acreate_chat_completion_once(
 # Overly simple abstraction until we create something better
 # simple retry mechanism when getting a rate error or a bad gateway
 async def acreate_chat_completion(
-        messages: list[Message],  # type: ignore
+        messages: list[dict],
         model: str = None,
         temperature: float = CFG.temperature,
         max_tokens: int = None,

agent_jarvis/jarvis/gpt/message.py

@@ -1,9 +0,0 @@
-"""Type helpers for working with the OpenAI library"""
-from typing import TypedDict
-
-
-class Message(TypedDict):
-    """OpenAI Message object containing a role and the message content"""
-
-    role: str
-    content: str

agent_jarvis/jarvis/gpt/token_counter.py

@@ -5,11 +5,9 @@ from typing import List
 
 import tiktoken_async
 
-from jarvis.gpt.message import Message
-
 
 async def count_message_tokens(
-        messages: List[Message], model: str = "gpt-3.5-turbo-0301"
+        messages: List[dict], model: str = "gpt-3.5-turbo-0301"
 ) -> int:
     """
     Returns the number of tokens used by a list of messages.