summaryrefslogtreecommitdiffstats
path: root/g4f/Provider/Myshell.py
blob: da170fa31ddb64dedae20751d36bf4e766fd9779 (plain) (blame)
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
from __future__ import annotations

import json, uuid, hashlib, time, random

from aiohttp import ClientSession
from aiohttp.http import WSMsgType
import asyncio

from ..typing import AsyncGenerator
from .base_provider import AsyncGeneratorProvider, format_prompt


models = {
    "samantha": "1e3be7fe89e94a809408b1154a2ee3e1",
    "gpt-3.5-turbo": "8077335db7cd47e29f7de486612cc7fd",
    "gpt-4": "01c8de4fbfc548df903712b0922a4e01",
}


class Myshell(AsyncGeneratorProvider):
    url = "https://app.myshell.ai/chat"
    working               = True
    supports_gpt_35_turbo = True
    supports_gpt_4        = True

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: list[dict[str, str]],
        timeout: int = 90,
        **kwargs
    ) -> AsyncGenerator:
        if not model:
            bot_id = models["samantha"]
        elif model in models:
            bot_id = models[model]
        else:
            raise ValueError(f"Model are not supported: {model}")
        
        user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36'
        visitor_id = generate_visitor_id(user_agent)

        async with ClientSession(
            headers={'User-Agent': user_agent}
        ) as session:
            async with session.ws_connect(
                "wss://api.myshell.ai/ws/?EIO=4&transport=websocket",
                autoping=False,
                timeout=timeout
            ) as wss:
                # Send and receive hello message
                await wss.receive_str()
                message = json.dumps({"token": None, "visitorId": visitor_id})
                await wss.send_str(f"40/chat,{message}")
                await wss.receive_str()

                # Fix "need_verify_captcha" issue
                await asyncio.sleep(5)

                # Create chat message
                text = format_prompt(messages)
                chat_data = json.dumps(["text_chat",{
                    "reqId": str(uuid.uuid4()),
                    "botUid": bot_id,
                    "sourceFrom": "myshellWebsite",
                    "text": text,
                    **generate_signature(text)
                }])

                # Send chat message
                chat_start = "42/chat,"
                chat_message = f"{chat_start}{chat_data}"
                await wss.send_str(chat_message)

                # Receive messages
                async for message in wss:
                    if message.type != WSMsgType.TEXT:
                        continue
                    # Ping back
                    if message.data == "2":
                        await wss.send_str("3")
                        continue
                    # Is not chat message
                    if not message.data.startswith(chat_start):
                        continue
                    data_type, data = json.loads(message.data[len(chat_start):])
                    if data_type == "text_stream":
                        if data["data"]["text"]:
                            yield data["data"]["text"]
                        elif data["data"]["isFinal"]:
                            break
                    elif data_type in ("message_replied", "need_verify_captcha"):
                        raise RuntimeError(f"Received unexpected message: {data_type}")


    @classmethod
    @property
    def params(cls):
        params = [
            ("model", "str"),
            ("messages", "list[dict[str, str]]"),
            ("stream", "bool"),
        ]
        param = ", ".join([": ".join(p) for p in params])
        return f"g4f.provider.{cls.__name__} supports: ({param})"


def generate_timestamp() -> str:
    return str(
        int(
            str(int(time.time() * 1000))[:-1]
            + str(
                sum(
                    2 * int(digit)
                    if idx % 2 == 0
                    else 3 * int(digit)
                    for idx, digit in enumerate(str(int(time.time() * 1000))[:-1])
                )
                % 10
            )
        )
    )

def generate_signature(text: str):
    timestamp = generate_timestamp()
    version = 'v1.0.0'
    secret = '8@VXGK3kKHr!u2gA' 
    data = f"{version}#{text}#{timestamp}#{secret}"
    signature = hashlib.md5(data.encode()).hexdigest()
    signature = signature[::-1]
    return {
        "signature": signature,
        "timestamp": timestamp,
        "version": version
    }

def xor_hash(B: str):
    r = []
    i = 0
    
    def o(e, t):
        o_val = 0
        for i in range(len(t)):
            o_val |= r[i] << (8 * i)
        return e ^ o_val
    
    for e in range(len(B)):
        t = ord(B[e])
        r.insert(0, 255 & t)
        
        if len(r) >= 4:
            i = o(i, r)
            r = []
    
    if len(r) > 0:
        i = o(i, r)
    
    return hex(i)[2:]

def performance() -> str:
    t = int(time.time() * 1000)
    e = 0
    while t == int(time.time() * 1000):
        e += 1
    return hex(t)[2:] + hex(e)[2:]

def generate_visitor_id(user_agent: str) -> str:
    f = performance()
    r = hex(int(random.random() * (16**16)))[2:-2]
    d = xor_hash(user_agent)
    e = hex(1080 * 1920)[2:]
    return f"{f}-{r}-{d}-{e}-{f}"