188 lines
6.9 KiB
Python
188 lines
6.9 KiB
Python
import json
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import os
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import sys
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from pathlib import Path
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from threading import Thread
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from flask import Flask, jsonify, render_template, request
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from llm_server.routes.openai import openai_bp
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from llm_server.routes.server_error import handle_server_error
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try:
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import vllm
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except ModuleNotFoundError as e:
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print('Could not import vllm-gptq:', e)
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print('Please see README.md for install instructions.')
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sys.exit(1)
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import config
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from llm_server import opts
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from llm_server.config import ConfigLoader, config_default_vars, config_required_vars, mode_ui_names
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from llm_server.database import get_number_of_rows, init_db
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from llm_server.helpers import resolve_path
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from llm_server.llm.vllm.info import vllm_info
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from llm_server.routes.cache import cache, redis
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from llm_server.routes.queue import start_workers
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from llm_server.routes.stats import SemaphoreCheckerThread, process_avg_gen_time
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from llm_server.routes.v1 import bp
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from llm_server.routes.v1.generate_stats import generate_stats
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from llm_server.stream import init_socketio
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from llm_server.threads import MainBackgroundThread
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script_path = os.path.dirname(os.path.realpath(__file__))
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config_path_environ = os.getenv("CONFIG_PATH")
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if config_path_environ:
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config_path = config_path_environ
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else:
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config_path = Path(script_path, 'config', 'config.yml')
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config_loader = ConfigLoader(config_path, config_default_vars, config_required_vars)
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success, config, msg = config_loader.load_config()
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if not success:
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print('Failed to load config:', msg)
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sys.exit(1)
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# Resolve relative directory to the directory of the script
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if config['database_path'].startswith('./'):
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config['database_path'] = resolve_path(script_path, config['database_path'].strip('./'))
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opts.database_path = resolve_path(config['database_path'])
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init_db()
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if config['mode'] not in ['oobabooga', 'vllm']:
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print('Unknown mode:', config['mode'])
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sys.exit(1)
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opts.mode = config['mode']
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opts.auth_required = config['auth_required']
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opts.log_prompts = config['log_prompts']
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opts.concurrent_gens = config['concurrent_gens']
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opts.frontend_api_client = config['frontend_api_client']
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opts.context_size = config['token_limit']
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opts.show_num_prompts = config['show_num_prompts']
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opts.show_uptime = config['show_uptime']
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opts.backend_url = config['backend_url'].strip('/')
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opts.show_total_output_tokens = config['show_total_output_tokens']
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opts.netdata_root = config['netdata_root']
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opts.simultaneous_requests_per_ip = config['simultaneous_requests_per_ip']
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opts.show_backend_info = config['show_backend_info']
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opts.max_new_tokens = config['max_new_tokens']
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opts.manual_model_name = config['manual_model_name']
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opts.llm_middleware_name = config['llm_middleware_name']
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opts.enable_openi_compatible_backend = config['enable_openi_compatible_backend']
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opts.openai_system_prompt = config['openai_system_prompt']
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opts.expose_openai_system_prompt = config['expose_openai_system_prompt']
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opts.verify_ssl = config['verify_ssl']
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if not opts.verify_ssl:
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import urllib3
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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flushed_keys = redis.flush()
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print('Flushed', len(flushed_keys), 'keys from Redis.')
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if config['load_num_prompts']:
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redis.set('proompts', get_number_of_rows('prompts'))
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if config['average_generation_time_mode'] not in ['database', 'minute']:
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print('Invalid value for config item "average_generation_time_mode":', config['average_generation_time_mode'])
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sys.exit(1)
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opts.average_generation_time_mode = config['average_generation_time_mode']
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start_workers(opts.concurrent_gens)
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# cleanup_thread = Thread(target=elapsed_times_cleanup)
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# cleanup_thread.daemon = True
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# cleanup_thread.start()
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# Start the background thread
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process_avg_gen_time_background_thread = Thread(target=process_avg_gen_time)
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process_avg_gen_time_background_thread.daemon = True
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process_avg_gen_time_background_thread.start()
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MainBackgroundThread().start()
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SemaphoreCheckerThread().start()
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app = Flask(__name__)
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cache.init_app(app)
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cache.clear() # clear redis cache
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init_socketio(app)
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# with app.app_context():
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# current_app.tokenizer = tiktoken.get_encoding("cl100k_base")
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app.register_blueprint(bp, url_prefix='/api/v1/')
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app.register_blueprint(openai_bp, url_prefix='/api/openai/v1/')
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# print(app.url_map)
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@app.route('/')
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@app.route('/api')
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@cache.cached(timeout=10, query_string=True)
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def home():
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if not opts.base_client_api:
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opts.base_client_api = f'{request.headers.get("Host")}/{opts.frontend_api_client.strip("/")}'
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stats = generate_stats()
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if not bool(redis.get('backend_online')) or not stats['online']:
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running_model = estimated_wait_sec = 'offline'
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else:
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running_model = opts.running_model
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if stats['queue']['queued'] == 0 and stats['queue']['processing'] > 0:
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# There will be a wait if the queue is empty but prompts are processing, but we don't
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# know how long.
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estimated_wait_sec = f"less than {stats['stats']['average_generation_elapsed_sec']} seconds"
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else:
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estimated_wait_sec = f"{stats['queue']['estimated_wait_sec']} seconds"
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if len(config['analytics_tracking_code']):
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analytics_tracking_code = f"<script>\n{config['analytics_tracking_code']}\n</script>"
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else:
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analytics_tracking_code = ''
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if config['info_html']:
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info_html = config['info_html']
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else:
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info_html = ''
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mode_info = ''
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if opts.mode == 'vllm':
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mode_info = vllm_info
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return render_template('home.html',
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llm_middleware_name=opts.llm_middleware_name,
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analytics_tracking_code=analytics_tracking_code,
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info_html=info_html,
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current_model=opts.manual_model_name if opts.manual_model_name else running_model,
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client_api=stats['endpoints']['blocking'],
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ws_client_api=stats['endpoints']['streaming'],
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estimated_wait=estimated_wait_sec,
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mode_name=mode_ui_names[opts.mode][0],
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api_input_textbox=mode_ui_names[opts.mode][1],
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streaming_input_textbox=mode_ui_names[opts.mode][2],
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context_size=opts.context_size,
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stats_json=json.dumps(stats, indent=4, ensure_ascii=False),
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extra_info=mode_info,
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openai_client_api=f'https://{opts.base_client_api}/openai/v1' if opts.enable_openi_compatible_backend else 'disabled',
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expose_openai_system_prompt=opts.expose_openai_system_prompt
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)
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@app.route('/<first>')
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@app.route('/<first>/<path:rest>')
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def fallback(first=None, rest=None):
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return jsonify({
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'code': 404,
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'msg': 'not found'
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}), 404
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@app.errorhandler(500)
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def server_error(e):
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return handle_server_error(e)
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if __name__ == "__main__":
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app.run(host='0.0.0.0')
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