import os import yaml import json import asyncio import aiohttp import starlette from rich import print from dotenv import load_dotenv import proxies import load_balancing from db import logs, users, stats from helpers import network, chat load_dotenv() DEMO_PAYLOAD = { 'model': 'gpt-3.5-turbo', 'messages': [ { 'role': 'user', 'content': '1+1=' } ] } with open('config/credits.yml', encoding='utf8') as f: max_credits = yaml.safe_load(f)['max-credits'] async def stream( path: str='/v1/chat/completions', user: dict=None, payload: dict=None, credits_cost: int=0, demo_mode: bool=False, input_tokens: int=0, incoming_request: starlette.requests.Request=None, ): payload = payload or DEMO_PAYLOAD is_chat = False if 'chat/completions' in path: is_chat = True chat_id = await chat.create_chat_id() model = payload['model'] chat_chunk = chat.create_chat_chunk( chat_id=chat_id, model=model, content=chat.CompletionStart ) data = json.dumps(chat_chunk) chunk = f'data: {data}' yield chunk for _ in range(5): if is_chat: target_request = await load_balancing.balance_chat_request(payload) else: target_request = await load_balancing.balance_organic_request(payload) headers = { 'Content-Type': 'application/json' } for k, v in target_request.get('headers', {}).items(): headers[k] = v async with aiohttp.ClientSession(connector=proxies.random_proxy.connector) as session: async with session.request( method=target_request.get('method', 'POST'), url=target_request['url'], data=target_request.get('data'), json=target_request.get('payload'), headers=headers, cookies=target_request.get('cookies'), ssl=False, timeout=aiohttp.ClientTimeout(total=float(os.getenv('TRANSFER_TIMEOUT', '120'))), ) as response: try: await response.raise_for_status() except Exception as exc: continue # if 'Too Many Requests' in str(exc): if user and incoming_request: await logs.log_api_request( user=user, incoming_request=incoming_request, target_url=target_request['url'] ) if credits_cost and user: await users.update_by_id(user['_id'], { '$inc': {'credits': -credits_cost} }) if not demo_mode: ip_address = await network.get_ip(incoming_request) await stats.add_date() await stats.add_ip_address(ip_address) await stats.add_path(path) await stats.add_target(target_request['url']) if is_chat: await stats.add_model(model) await stats.add_tokens(input_tokens, model) async for chunk in response.content.iter_any(): chunk = f'{chunk.decode("utf8")}\n\n' if chunk.strip(): if is_chat: if target_request['module'] == 'twa': data = json.loads(chunk.split('data: ')[1]) if data.get('text'): chat_chunk = chat.create_chat_chunk( chat_id=chat_id, model=model, content=['text'] ) data = json.dumps(chat_chunk) chunk = f'data: {data}' yield chunk break if is_chat: chat_chunk = chat.create_chat_chunk( chat_id=chat_id, model=model, content=chat.CompletionStop ) data = json.dumps(chat_chunk) yield f'data: {data}' yield 'data: [DONE]' if __name__ == '__main__': asyncio.run(stream())