1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
|
import g4f
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('Serving on http://{}:{}'.format(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'] = 'g4f/%s' % 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})
|