api/endpoints/ai.py

#!/usr/bin/env python3.12

import importlib
import logging
import regex

from aiohttp import ClientSession, ClientTimeout
from fastapi import FastAPI, Security, Request, HTTPException
from fastapi.security import APIKeyHeader, APIKeyQuery
from pydantic import BaseModel

class ValidAISongRequest(BaseModel):
    """
    - **a**: artist
    - **s**: track title
    """

    a: str
    s: str

class AI(FastAPI):
    """AI Endpoints"""   
    def __init__(self, app: FastAPI, my_util, constants, glob_state):  # pylint: disable=super-init-not-called
        self.app = app
        self.util = my_util
        self.constants = constants
        self.glob_state = glob_state
        self.url_clean_regex = regex.compile(r'^\/ai\/openai\/')
        self.endpoints = {
            "ai/openai": self.ai_openai_handler,
            "ai/song": self.ai_song_handler
            #tbd
            }

        for endpoint, handler in self.endpoints.items():
            app.add_api_route(f"/{endpoint}/{{any:path}}", handler, methods=["POST"])
    
    async def ai_openai_handler(self, request: Request):
        """
        /ai/openai/
        AI Request
        """

        if not self.util.check_key(request.url.path, request.headers.get('X-Authd-With')):
            raise HTTPException(status_code=403, detail="Unauthorized")
        
        
        """
        TODO: Implement Claude
        Currently only routes to local LLM
        """

        local_llm_headers = {
            'Authorization': f'Bearer {self.constants.LOCAL_LLM_KEY}'
        }
        forward_path = self.url_clean_regex.sub('', request.url.path)
        try:
                async with ClientSession() as session:
                    async with await session.post(f'{self.constants.LOCAL_LLM_HOST}/{forward_path}',
                                                  json=await request.json(),
                                                  headers=local_llm_headers,
                                                  timeout=ClientTimeout(connect=15, sock_read=30)) as request:
                           await self.glob_state.increment_counter('ai_requests')
                           response = await request.json()
                           return response
        except Exception as e: # pylint: disable=broad-exception-caught
             logging.error("Error: %s", e)
             return {
                  'err': True,
                  'errorText': 'General Failure'
             }
        
    async def ai_song_handler(self, data: ValidAISongRequest, request: Request):
        """
        /ai/song/
        AI (Song Info) Request [Public]
        """
        
        ai_question = f"I am going to listen to the song \"{data.s}\" by \"{data.a}\"."

        local_llm_headers = {
            'Authorization': f'Bearer {self.constants.LOCAL_LLM_KEY}'
        }
        ai_req_data = {
             'max_context_length': 16784,
             'max_length': 256,
             'temperature': 0.2,
             'quiet': 1,
             'bypass_eos': False,
             'trim_stop': True,      
             'sampler_order': [6,0,1,3,4,2,5],
             'memory': "You are a helpful assistant who will provide only totally accurate tidbits of info on songs the user may listen to.  You do not include information about which album a song was released on, or when it was released, and do not mention that you are not including this information in your response.  If the input provided is not a song you are aware of, simply state that.",
             'stop': ['### Inst', '### Resp'],
             'prompt': ai_question
        }
        try:
                async with ClientSession() as session:
                    async with await session.post(f'{self.constants.LOCAL_LLM_BASE}/generate',
                                                  json=ai_req_data,
                                                  headers=local_llm_headers,
                                                  timeout=ClientTimeout(connect=15, sock_read=30)) as request:
                           await self.glob_state.increment_counter('ai_requests')
                           response = await request.json()
                           result = {
                                'resp': response.get('results')[0].get('text').strip()
                           }
                           return result
        except Exception as e: # pylint: disable=broad-exception-caught
             logging.error("Error: %s", e)
             return {
                  'err': True,
                  'errorText': 'General Failure'
             }