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
|
from __future__ import annotations
import uuid
from aiohttp import ClientSession, BaseConnector
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import get_connector
from ..requests import raise_for_status
models = {
"gpt-3.5-turbo": {
"id": "gpt-3.5-turbo",
"name": "GPT-3.5-Turbo",
"maxLength": 48000,
"tokenLimit": 14000,
"context": "16K",
},
"gpt-4-turbo": {
"id": "gpt-4-turbo-preview",
"name": "GPT-4-Turbo",
"maxLength": 260000,
"tokenLimit": 126000,
"context": "128K",
},
"gpt-4": {
"id": "gpt-4-plus",
"name": "GPT-4-Plus",
"maxLength": 130000,
"tokenLimit": 31000,
"context": "32K",
},
"gpt-4-0613": {
"id": "gpt-4-0613",
"name": "GPT-4-0613",
"maxLength": 60000,
"tokenLimit": 15000,
"context": "16K",
},
"gemini-pro": {
"id": "gemini-pro",
"name": "Gemini-Pro",
"maxLength": 120000,
"tokenLimit": 30000,
"context": "32K",
},
"claude-3-opus-20240229": {
"id": "claude-3-opus-20240229",
"name": "Claude-3-Opus",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-3-sonnet-20240229": {
"id": "claude-3-sonnet-20240229",
"name": "Claude-3-Sonnet",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-2.1": {
"id": "claude-2.1",
"name": "Claude-2.1-200k",
"maxLength": 800000,
"tokenLimit": 200000,
"context": "200K",
},
"claude-2.0": {
"id": "claude-2.0",
"name": "Claude-2.0-100k",
"maxLength": 400000,
"tokenLimit": 100000,
"context": "100K",
},
"claude-instant-1": {
"id": "claude-instant-1",
"name": "Claude-instant-1",
"maxLength": 400000,
"tokenLimit": 100000,
"context": "100K",
}
}
class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://liaobots.site"
working = True
supports_message_history = True
supports_system_message = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
default_model = "gpt-3.5-turbo"
models = list(models)
model_aliases = {
"claude-v2": "claude-2"
}
_auth_code = None
_cookie_jar = None
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
auth: str = None,
proxy: str = None,
connector: BaseConnector = None,
**kwargs
) -> AsyncResult:
headers = {
"authority": "liaobots.com",
"content-type": "application/json",
"origin": cls.url,
"referer": f"{cls.url}/",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36",
}
async with ClientSession(
headers=headers,
cookie_jar=cls._cookie_jar,
connector=get_connector(connector, proxy, True)
) as session:
cls._auth_code = auth if isinstance(auth, str) else cls._auth_code
if not cls._auth_code:
async with session.post(
"https://liaobots.work/recaptcha/api/login",
proxy=proxy,
data={"token": "abcdefghijklmnopqrst"},
verify_ssl=False
) as response:
await raise_for_status(response)
async with session.post(
"https://liaobots.work/api/user",
proxy=proxy,
json={"authcode": ""},
verify_ssl=False
) as response:
await raise_for_status(response)
cls._auth_code = (await response.json(content_type=None))["authCode"]
cls._cookie_jar = session.cookie_jar
data = {
"conversationId": str(uuid.uuid4()),
"model": models[cls.get_model(model)],
"messages": messages,
"key": "",
"prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully."),
}
async with session.post(
"https://liaobots.work/api/chat",
proxy=proxy,
json=data,
headers={"x-auth-code": cls._auth_code},
verify_ssl=False
) as response:
await raise_for_status(response)
async for chunk in response.content.iter_any():
if b"<html coupert-item=" in chunk:
raise RuntimeError("Invalid session")
if chunk:
yield chunk.decode()
|