modules/llm.py

import json, time

from hashlib import sha256
from fastapi import HTTPException
from openai import OpenAI
import tiktoken

from . import log_module, error_map, chat_functions as tools, settings
from typing import TYPE_CHECKING                
if TYPE_CHECKING:                               
    from . import model

import asyncio


encoding = tiktoken.encoding_for_model(settings.GPT_MODEL)

def ejecutar(chat: "model.Chat", session: "model.Session"):
    temp_messages = [msg.model_dump() for msg in chat.messages]
     
    try:
        client = OpenAI(
            api_key=settings.OPENAI_API_KEY,  
            timeout=30.0,
            max_retries=3
            )
        generated = client.chat.completions.create(
            model=settings.GPT_MODEL,
            messages=temp_messages,
            frequency_penalty=session.configs.frequency_penalty,
            presence_penalty=session.configs.presence_penalty,
            tools= tools.functions if session.configs.useTool else None,
            stream=True,
            user=sha256(session.gid.encode('UTF-8')).hexdigest()
        )
        
        return generated
    except Exception as error:
        log_module.logger(session.gid).error(repr(error) + " - " + session.gid)
        raise HTTPException(  **error_map.error_table.get(type(error), error_map.error_table["undefined"]))

async def streamer(chat: "model.Chat", session: "model.Session", sub_exec:bool = False):
    response_async = ejecutar(chat, session)
    if not sub_exec:
        yield json.dumps({"comando": "status", "status":{"mensaje":"Cargando", "modo": "reemplazar"}})
    
    message = None
    role = None 


    chunk = next(response_async)
    role = chunk.choices[0].delta.role
    
    if isinstance(chunk.choices[0].delta.content, str):
        message = chat.new_msg(role, response_async)
        chat.append(message)
    else:
        message = chat.new_func(role, response_async, chunk)
        if not sub_exec:
            yield json.dumps({"comando": "status", "status":{"mensaje":"Buscando en google o algo así", "modo": "reemplazar"}})  
        message.exec(session.gid)
        
        chat.append(message)
        
        async for r_async in streamer(chat, session, True):
            yield r_async
    
    if not sub_exec:
        session.update_usage(chat.tokens)
    
        log_module.logger(session.gid).info(f"Chat used, tokens: {chat.tokens}")
        yield json.dumps({"comando":"challenge", "challenge": session.challenge} )
        yield json.dumps({"comando":"token", "token": session.create_cookie_token() } )
        yield json.dumps({"comando":"mensaje", "mensaje": chat.messages[-1].model_dump()} )