prototype hf-textgen and adjust logging
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@ -5,6 +5,7 @@ log_prompts: true
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mode: oobabooga
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auth_required: false
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concurrent_gens: 3
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token_limit: 5555
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backend_url: http://172.0.0.2:9104
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@ -22,6 +22,7 @@ def init_db(db_path):
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prompt_tokens INTEGER,
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response TEXT,
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response_tokens INTEGER,
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response_status INTEGER,
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parameters TEXT CHECK (parameters IS NULL OR json_valid(parameters)),
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headers TEXT CHECK (headers IS NULL OR json_valid(headers)),
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timestamp INTEGER
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@ -31,11 +32,15 @@ def init_db(db_path):
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CREATE TABLE token_auth
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(token TEXT, type TEXT NOT NULL, uses INTEGER, max_uses INTEGER, expire INTEGER, disabled BOOLEAN default 0)
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''')
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# c.execute('''
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# CREATE TABLE leeches
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# (url TEXT, online TEXT)
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# ''')
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conn.commit()
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conn.close()
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def log_prompt(db_path, ip, token, prompt, response, parameters, headers):
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def log_prompt(db_path, ip, token, prompt, response, parameters, headers, backend_response_code):
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prompt_tokens = len(tokenizer.encode(prompt))
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response_tokens = len(tokenizer.encode(response))
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@ -45,8 +50,8 @@ def log_prompt(db_path, ip, token, prompt, response, parameters, headers):
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timestamp = int(time.time())
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conn = sqlite3.connect(db_path)
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c = conn.cursor()
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c.execute("INSERT INTO prompts VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)",
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(ip, token, prompt, prompt_tokens, response, response_tokens, json.dumps(parameters), json.dumps(headers), timestamp))
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c.execute("INSERT INTO prompts VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
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(ip, token, prompt, prompt_tokens, response, response_tokens, backend_response_code, json.dumps(parameters), json.dumps(headers), timestamp))
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conn.commit()
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conn.close()
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@ -1,36 +1,44 @@
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import json
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import requests
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from flask import current_app
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from llm_server import opts
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from llm_server.database import tokenizer
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def prepare_json(json_data: dict):
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token_count = len(current_app.tokenizer.encode(json_data.get('prompt', '')))
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token_count = len(tokenizer.encode(json_data.get('prompt', '')))
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seed = json_data.get('seed', None)
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if seed == -1:
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seed = None
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typical_p = json_data.get('typical_p', None)
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if typical_p >= 1:
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typical_p = 0.999
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return {
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'inputs': json_data.get('prompt', ''),
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'parameters': {
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'max_new_tokens': token_count - opts.token_limit,
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'max_new_tokens': opts.token_limit - token_count,
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'repetition_penalty': json_data.get('repetition_penalty', None),
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'seed': seed,
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'stop': json_data.get('stopping_strings', []),
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'temperature': json_data.get('temperature', None),
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'top_k': json_data.get('top_k', None),
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'top_p': json_data.get('top_p', None),
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'truncate': True,
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'typical_p': json_data.get('typical_p', None),
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# 'truncate': opts.token_limit,
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'typical_p': typical_p,
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'watermark': False
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}
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}
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def generate(json_data: dict):
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try:
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print(json.dumps(prepare_json(json_data)))
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# try:
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r = requests.post(f'{opts.backend_url}/generate', json=prepare_json(json_data))
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except Exception as e:
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return False, None, f'{e.__class__.__name__}: {e}'
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if r.status_code != 200:
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return False, r, f'Backend returned {r.status_code}'
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return True, r, None
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print(r.text)
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# except Exception as e:
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# return False, None, f'{e.__class__.__name__}: {e}'
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# if r.status_code != 200:
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# return False, r, f'Backend returned {r.status_code}'
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# return True, r, None
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@ -0,0 +1,28 @@
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import requests
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from llm_server import opts
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def get_running_model():
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if opts.mode == 'oobabooga':
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try:
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backend_response = requests.get(f'{opts.backend_url}/api/v1/model')
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except Exception as e:
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return False
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try:
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r_json = backend_response.json()
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return r_json['result']
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except Exception as e:
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return False
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elif opts.mode == 'hf-textgen':
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try:
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backend_response = requests.get(f'{opts.backend_url}/info')
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except Exception as e:
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return False
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try:
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r_json = backend_response.json()
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return r_json['model_id'].replace('/', '_')
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except Exception as e:
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return False
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else:
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raise Exception
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@ -1,15 +1,3 @@
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import requests
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from llm_server import opts
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def get_running_model():
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try:
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backend_response = requests.get(f'{opts.backend_url}/api/v1/model')
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except Exception as e:
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return False
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try:
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r_json = backend_response.json()
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return r_json['result']
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except Exception as e:
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return False
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@ -6,14 +6,16 @@ from ..helpers.http import cache_control, validate_json
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from ... import opts
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from ...database import log_prompt
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if opts.mode == 'oobabooga':
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def generator(request_json_body):
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if opts.mode == 'oobabooga':
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from ...llm.oobabooga.generate import generate
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generator = generate
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elif opts.mode == 'hf-textgen':
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return generate(request_json_body)
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elif opts.mode == 'hf-textgen':
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from ...llm.hf_textgen.generate import generate
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generator = generate
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return generate(request_json_body)
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else:
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raise Exception
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@bp.route('/generate', methods=['POST'])
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@ -49,7 +51,7 @@ def generate():
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token = request.headers.get('X-Api-Key')
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log_prompt(opts.database_path, client_ip, token, request_json_body['prompt'], response_json_body['results'][0]['text'], parameters, dict(request.headers))
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log_prompt(opts.database_path, client_ip, token, request_json_body['prompt'], response_json_body['results'][0]['text'], parameters, dict(request.headers), response.status_code)
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return jsonify({
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**response_json_body
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}), 200
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@ -4,7 +4,8 @@ from flask import jsonify
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from . import bp
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from ..helpers.http import cache_control
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from ...llm.oobabooga.info import get_running_model
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from ... import opts
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from ...llm.info import get_running_model
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from ..cache import cache
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@ -10,7 +10,7 @@ from .. import stats
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from ..cache import cache
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from ..helpers.http import cache_control
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from ..stats import proompters_1_min
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from ...llm.oobabooga.info import get_running_model
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from ...llm.info import get_running_model
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@bp.route('/stats', methods=['GET'])
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@ -9,7 +9,7 @@ from llm_server import opts
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from llm_server.config import ConfigLoader
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from llm_server.database import init_db
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from llm_server.helpers import resolve_path
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from llm_server.llm.oobabooga.info import get_running_model
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from llm_server.llm.info import get_running_model
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from llm_server.routes.cache import cache
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from llm_server.routes.helpers.http import cache_control
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from llm_server.routes.v1 import bp
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@ -23,7 +23,7 @@ else:
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config_path = Path(script_path, 'config', 'config.yml')
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default_vars = {'mode': 'oobabooga', 'log_prompts': False, 'database_path': './proxy-server.db', 'auth_required': False, 'concurrent_gens': 3, 'frontend_api_client': ''}
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required_vars = []
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required_vars = ['token_limit']
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config_loader = ConfigLoader(config_path, default_vars, required_vars)
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success, config, msg = config_loader.load_config()
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if not success:
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@ -46,9 +46,11 @@ 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.token_limit = config['token_limit']
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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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# 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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@ -69,4 +71,4 @@ def fallback(first=None, rest=None):
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if __name__ == "__main__":
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app.run(host='0.0.0.0')
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app.run(host='0.0.0.0', debug=True)
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