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import g4f; g4f.logging = True
import time
import json
import random
import string
import logging
from typing import Union
from loguru import logger
from waitress import serve
from ._logging import hook_logging
from ._tokenizer import tokenize
from flask_cors import CORS
from werkzeug.serving import WSGIRequestHandler
from werkzeug.exceptions import default_exceptions
from werkzeug.middleware.proxy_fix import ProxyFix
from flask import (
Flask,
jsonify,
make_response,
request,
)
class Api:
__default_ip = '127.0.0.1'
__default_port = 1337
def __init__(self, engine: g4f, debug: bool = True, sentry: bool = False) -> None:
self.engine = engine
self.debug = debug
self.sentry = sentry
self.log_level = logging.DEBUG if debug else logging.WARN
hook_logging(level=self.log_level, format='[%(asctime)s] %(levelname)s in %(module)s: %(message)s')
self.logger = logging.getLogger('waitress')
self.app = Flask(__name__)
self.app.wsgi_app = ProxyFix(self.app.wsgi_app, x_port=1)
self.app.after_request(self.__after_request)
def run(self, bind_str, threads=8):
host, port = self.__parse_bind(bind_str)
CORS(self.app, resources={r'/v1/*': {'supports_credentials': True, 'expose_headers': [
'Content-Type',
'Authorization',
'X-Requested-With',
'Accept',
'Origin',
'Access-Control-Request-Method',
'Access-Control-Request-Headers',
'Content-Disposition'], 'max_age': 600}})
self.app.route('/v1/models', methods=['GET'])(self.models)
self.app.route('/v1/models/<model_id>', methods=['GET'])(self.model_info)
self.app.route('/v1/chat/completions', methods=['POST'])(self.chat_completions)
self.app.route('/v1/completions', methods=['POST'])(self.completions)
for ex in default_exceptions:
self.app.register_error_handler(ex, self.__handle_error)
if not self.debug:
self.logger.warning(f'Serving on http://{host}:{port}')
WSGIRequestHandler.protocol_version = 'HTTP/1.1'
serve(self.app, host=host, port=port, ident=None, threads=threads)
def __handle_error(self, e: Exception):
self.logger.error(e)
return make_response(jsonify({
'code': e.code,
'message': str(e.original_exception if self.debug and hasattr(e, 'original_exception') else e.name)}), 500)
@staticmethod
def __after_request(resp):
resp.headers['X-Server'] = f'g4f/{g4f.version}'
return resp
def __parse_bind(self, bind_str):
sections = bind_str.split(':', 2)
if len(sections) < 2:
try:
port = int(sections[0])
return self.__default_ip, port
except ValueError:
return sections[0], self.__default_port
return sections[0], int(sections[1])
async def home(self):
return 'Hello world | https://127.0.0.1:1337/v1'
async def chat_completions(self):
model = request.json.get('model', 'gpt-3.5-turbo')
stream = request.json.get('stream', False)
messages = request.json.get('messages')
logger.info(f'model: {model}, stream: {stream}, request: {messages[-1]["content"]}')
response = self.engine.ChatCompletion.create(model=model,
stream=stream, messages=messages)
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
completion_timestamp = int(time.time())
if not stream:
prompt_tokens, _ = tokenize(''.join([message['content'] for message in messages]))
completion_tokens, _ = tokenize(response)
return {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': response,
},
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': prompt_tokens,
'completion_tokens': completion_tokens,
'total_tokens': prompt_tokens + completion_tokens,
},
}
def streaming():
try:
for chunk in response:
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {
'content': chunk,
},
'finish_reason': None,
}
],
}
content = json.dumps(completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
time.sleep(0.03)
end_completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {},
'finish_reason': 'stop',
}
],
}
content = json.dumps(end_completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
logger.success(f'model: {model}, stream: {stream}')
except GeneratorExit:
pass
return self.app.response_class(streaming(), mimetype='text/event-stream')
async def completions(self):
return 'not working yet', 500
async def model_info(self, model_name):
model_info = (g4f.ModelUtils.convert[model_name])
return jsonify({
'id' : model_name,
'object' : 'model',
'created' : 0,
'owned_by' : model_info.base_provider
})
async def models(self):
model_list = [{
'id' : model,
'object' : 'model',
'created' : 0,
'owned_by' : 'g4f'} for model in g4f.Model.__all__()]
return jsonify({
'object': 'list',
'data': model_list})
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