mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-15 06:13:01 +00:00
525 lines
21 KiB
Python
525 lines
21 KiB
Python
from __future__ import annotations
|
|
|
|
import random
|
|
import json
|
|
import uuid
|
|
import time
|
|
import asyncio
|
|
from urllib import parse
|
|
from datetime import datetime, date
|
|
|
|
from ..typing import AsyncResult, Messages, ImageType, Cookies
|
|
from ..image import ImageRequest
|
|
from ..errors import ResponseError, ResponseStatusError, RateLimitError
|
|
from ..requests import DEFAULT_HEADERS
|
|
from ..requests.aiohttp import StreamSession
|
|
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
|
|
from .helper import get_random_hex
|
|
from .bing.upload_image import upload_image
|
|
from .bing.conversation import Conversation, create_conversation, delete_conversation
|
|
from .BingCreateImages import BingCreateImages
|
|
from .. import debug
|
|
|
|
class Tones:
|
|
"""
|
|
Defines the different tone options for the Bing provider.
|
|
"""
|
|
creative = "Creative"
|
|
balanced = "Balanced"
|
|
precise = "Precise"
|
|
copilot = "Copilot"
|
|
|
|
class Bing(AsyncGeneratorProvider, ProviderModelMixin):
|
|
"""
|
|
Bing provider for generating responses using the Bing API.
|
|
"""
|
|
label = "Microsoft Copilot in Bing"
|
|
url = "https://bing.com/chat"
|
|
working = True
|
|
supports_message_history = True
|
|
supports_gpt_4 = True
|
|
default_model = "Balanced"
|
|
default_vision_model = "gpt-4-vision"
|
|
models = [getattr(Tones, key) for key in Tones.__dict__ if not key.startswith("__")]
|
|
|
|
@classmethod
|
|
def create_async_generator(
|
|
cls,
|
|
model: str,
|
|
messages: Messages,
|
|
proxy: str = None,
|
|
timeout: int = 900,
|
|
api_key: str = None,
|
|
cookies: Cookies = None,
|
|
tone: str = None,
|
|
image: ImageType = None,
|
|
web_search: bool = False,
|
|
context: str = None,
|
|
**kwargs
|
|
) -> AsyncResult:
|
|
"""
|
|
Creates an asynchronous generator for producing responses from Bing.
|
|
|
|
:param model: The model to use.
|
|
:param messages: Messages to process.
|
|
:param proxy: Proxy to use for requests.
|
|
:param timeout: Timeout for requests.
|
|
:param cookies: Cookies for the session.
|
|
:param tone: The tone of the response.
|
|
:param image: The image type to be used.
|
|
:param web_search: Flag to enable or disable web search.
|
|
:return: An asynchronous result object.
|
|
"""
|
|
prompt = messages[-1]["content"]
|
|
if context is None:
|
|
context = create_context(messages[:-1]) if len(messages) > 1 else None
|
|
if tone is None:
|
|
tone = tone if model.startswith("gpt-4") else model
|
|
tone = cls.get_model("" if tone is None else tone)
|
|
gpt4_turbo = True if model.startswith("gpt-4-turbo") else False
|
|
|
|
return stream_generate(
|
|
prompt, tone, image, context, cookies, api_key,
|
|
proxy, web_search, gpt4_turbo, timeout,
|
|
**kwargs
|
|
)
|
|
|
|
def create_context(messages: Messages) -> str:
|
|
"""
|
|
Creates a context string from a list of messages.
|
|
|
|
:param messages: A list of message dictionaries.
|
|
:return: A string representing the context created from the messages.
|
|
"""
|
|
return "".join(
|
|
f"[{message['role']}]" + ("(#message)"
|
|
if message['role'] != "system"
|
|
else "(#additional_instructions)") + f"\n{message['content']}"
|
|
for message in messages
|
|
) + "\n\n"
|
|
|
|
def get_ip_address() -> str:
|
|
return f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
|
|
|
|
def get_default_cookies():
|
|
#muid = get_random_hex().upper()
|
|
sid = get_random_hex().upper()
|
|
guid = get_random_hex().upper()
|
|
isodate = date.today().isoformat()
|
|
timestamp = int(time.time())
|
|
zdate = "0001-01-01T00:00:00.0000000"
|
|
return {
|
|
"_C_Auth": "",
|
|
#"MUID": muid,
|
|
#"MUIDB": muid,
|
|
"_EDGE_S": f"F=1&SID={sid}",
|
|
"_EDGE_V": "1",
|
|
"SRCHD": "AF=hpcodx",
|
|
"SRCHUID": f"V=2&GUID={guid}&dmnchg=1",
|
|
"_RwBf": (
|
|
f"r=0&ilt=1&ihpd=0&ispd=0&rc=3&rb=0&gb=0&rg=200&pc=0&mtu=0&rbb=0&g=0&cid="
|
|
f"&clo=0&v=1&l={isodate}&lft={zdate}&aof=0&ard={zdate}"
|
|
f"&rwdbt={zdate}&rwflt={zdate}&o=2&p=&c=&t=0&s={zdate}"
|
|
f"&ts={isodate}&rwred=0&wls=&wlb="
|
|
"&wle=&ccp=&cpt=&lka=0&lkt=0&aad=0&TH="
|
|
),
|
|
'_Rwho': f'u=d&ts={isodate}',
|
|
"_SS": f"SID={sid}&R=3&RB=0&GB=0&RG=200&RP=0",
|
|
"SRCHUSR": f"DOB={date.today().strftime('%Y%m%d')}&T={timestamp}",
|
|
"SRCHHPGUSR": f"HV={int(time.time())}",
|
|
"BCP": "AD=1&AL=1&SM=1",
|
|
"ipv6": f"hit={timestamp}",
|
|
'_C_ETH' : '1',
|
|
}
|
|
|
|
async def create_headers(cookies: Cookies = None, api_key: str = None) -> dict:
|
|
if cookies is None:
|
|
# import nodriver as uc
|
|
# browser = await uc.start(headless=False)
|
|
# page = await browser.get(Defaults.home)
|
|
# await asyncio.sleep(10)
|
|
# cookies = {}
|
|
# for c in await page.browser.cookies.get_all():
|
|
# if c.domain.endswith(".bing.com"):
|
|
# cookies[c.name] = c.value
|
|
# user_agent = await page.evaluate("window.navigator.userAgent")
|
|
# await page.close()
|
|
cookies = get_default_cookies()
|
|
if api_key is not None:
|
|
cookies["_U"] = api_key
|
|
headers = Defaults.headers.copy()
|
|
headers["cookie"] = "; ".join(f"{k}={v}" for k, v in cookies.items())
|
|
return headers
|
|
|
|
class Defaults:
|
|
"""
|
|
Default settings and configurations for the Bing provider.
|
|
"""
|
|
delimiter = "\x1e"
|
|
|
|
# List of allowed message types for Bing responses
|
|
allowedMessageTypes = [
|
|
"ActionRequest","Chat",
|
|
"ConfirmationCard", "Context",
|
|
"InternalSearchQuery", #"InternalSearchResult",
|
|
#"Disengaged", "InternalLoaderMessage",
|
|
"Progress", "RenderCardRequest",
|
|
"RenderContentRequest", "AdsQuery",
|
|
"SemanticSerp", "GenerateContentQuery",
|
|
"SearchQuery", "GeneratedCode",
|
|
"InternalTasksMessage"
|
|
]
|
|
|
|
sliceIds = {
|
|
"balanced": [
|
|
"supllmnfe","archnewtf",
|
|
"stpstream", "stpsig", "vnextvoicecf", "scmcbase", "cmcpupsalltf", "sydtransctrl",
|
|
"thdnsrch", "220dcl1s0", "0215wcrwips0", "0305hrthrots0", "0130gpt4t",
|
|
"bingfc", "0225unsticky1", "0228scss0",
|
|
"defquerycf", "defcontrol", "3022tphpv"
|
|
],
|
|
"creative": [
|
|
"bgstream", "fltltst2c",
|
|
"stpstream", "stpsig", "vnextvoicecf", "cmcpupsalltf", "sydtransctrl",
|
|
"0301techgnd", "220dcl1bt15", "0215wcrwip", "0305hrthrot", "0130gpt4t",
|
|
"bingfccf", "0225unsticky1", "0228scss0",
|
|
"3022tpvs0"
|
|
],
|
|
"precise": [
|
|
"bgstream", "fltltst2c",
|
|
"stpstream", "stpsig", "vnextvoicecf", "cmcpupsalltf", "sydtransctrl",
|
|
"0301techgnd", "220dcl1bt15", "0215wcrwip", "0305hrthrot", "0130gpt4t",
|
|
"bingfccf", "0225unsticky1", "0228scss0",
|
|
"defquerycf", "3022tpvs0"
|
|
],
|
|
"copilot": []
|
|
}
|
|
|
|
optionsSets = {
|
|
"balanced": {
|
|
"default": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg", "autosave",
|
|
"iyxapbing", "iycapbing",
|
|
"galileo", "saharagenconv5", "gldcl1p",
|
|
"gpt4tmncnp"
|
|
],
|
|
"nosearch": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg", "autosave",
|
|
"iyxapbing", "iycapbing",
|
|
"galileo", "sunoupsell", "base64filter", "uprv4p1upd",
|
|
"hourthrot", "noctprf", "gndlogcf", "nosearchall"
|
|
]
|
|
},
|
|
"creative": {
|
|
"default": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg",
|
|
"iyxapbing", "iycapbing",
|
|
"h3imaginative", "techinstgnd", "hourthrot", "clgalileo", "gencontentv3",
|
|
"gpt4tmncnp"
|
|
],
|
|
"nosearch": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg", "autosave",
|
|
"iyxapbing", "iycapbing",
|
|
"h3imaginative", "sunoupsell", "base64filter", "uprv4p1upd",
|
|
"hourthrot", "noctprf", "gndlogcf", "nosearchall",
|
|
"clgalileo", "nocache", "up4rp14bstcst"
|
|
]
|
|
},
|
|
"precise": {
|
|
"default": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg",
|
|
"iyxapbing", "iycapbing",
|
|
"h3precise", "techinstgnd", "hourthrot", "techinstgnd", "hourthrot",
|
|
"clgalileo", "gencontentv3"
|
|
],
|
|
"nosearch": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg", "autosave",
|
|
"iyxapbing", "iycapbing",
|
|
"h3precise", "sunoupsell", "base64filter", "uprv4p1upd",
|
|
"hourthrot", "noctprf", "gndlogcf", "nosearchall",
|
|
"clgalileo", "nocache", "up4rp14bstcst"
|
|
]
|
|
},
|
|
"copilot": [
|
|
"nlu_direct_response_filter", "deepleo",
|
|
"disable_emoji_spoken_text", "responsible_ai_policy_235",
|
|
"enablemm", "dv3sugg",
|
|
"iyxapbing", "iycapbing",
|
|
"h3precise", "clgalileo", "gencontentv3", "prjupy"
|
|
],
|
|
}
|
|
|
|
# Default location settings
|
|
location = {
|
|
"locale": "en-US", "market": "en-US", "region": "US",
|
|
"location":"lat:34.0536909;long:-118.242766;re=1000m;",
|
|
"locationHints": [{
|
|
"country": "United States", "state": "California", "city": "Los Angeles",
|
|
"timezoneoffset": 8, "countryConfidence": 8,
|
|
"Center": {"Latitude": 34.0536909, "Longitude": -118.242766},
|
|
"RegionType": 2, "SourceType": 1
|
|
}],
|
|
}
|
|
|
|
# Default headers for requests
|
|
home = "https://www.bing.com/chat?q=Microsoft+Copilot&FORM=hpcodx"
|
|
headers = {
|
|
**DEFAULT_HEADERS,
|
|
"accept": "application/json",
|
|
"referer": home,
|
|
"x-ms-client-request-id": str(uuid.uuid4()),
|
|
"x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.15.1 OS/Windows",
|
|
}
|
|
|
|
def format_message(msg: dict) -> str:
|
|
"""
|
|
Formats a message dictionary into a JSON string with a delimiter.
|
|
|
|
:param msg: The message dictionary to format.
|
|
:return: A formatted string representation of the message.
|
|
"""
|
|
return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter
|
|
|
|
def create_message(
|
|
conversation: Conversation,
|
|
prompt: str,
|
|
tone: str,
|
|
context: str = None,
|
|
image_request: ImageRequest = None,
|
|
web_search: bool = False,
|
|
gpt4_turbo: bool = False,
|
|
new_conversation: bool = True
|
|
) -> str:
|
|
"""
|
|
Creates a message for the Bing API with specified parameters.
|
|
|
|
:param conversation: The current conversation object.
|
|
:param prompt: The user's input prompt.
|
|
:param tone: The desired tone for the response.
|
|
:param context: Additional context for the prompt.
|
|
:param image_request: The image request with the url.
|
|
:param web_search: Flag to enable web search.
|
|
:param gpt4_turbo: Flag to enable GPT-4 Turbo.
|
|
:return: A formatted string message for the Bing API.
|
|
"""
|
|
|
|
options_sets = Defaults.optionsSets[tone.lower()]
|
|
if not web_search and "nosearch" in options_sets:
|
|
options_sets = options_sets["nosearch"]
|
|
elif "default" in options_sets:
|
|
options_sets = options_sets["default"]
|
|
options_sets = options_sets.copy()
|
|
if gpt4_turbo:
|
|
options_sets.append("dlgpt4t")
|
|
|
|
request_id = str(uuid.uuid4())
|
|
struct = {
|
|
"arguments":[{
|
|
"source": "cib",
|
|
"optionsSets": options_sets,
|
|
"allowedMessageTypes": Defaults.allowedMessageTypes,
|
|
"sliceIds": Defaults.sliceIds[tone.lower()],
|
|
"verbosity": "verbose",
|
|
"scenario": "CopilotMicrosoftCom" if tone == Tones.copilot else "SERP",
|
|
"plugins": [{"id": "c310c353-b9f0-4d76-ab0d-1dd5e979cf68", "category": 1}] if web_search else [],
|
|
"traceId": get_random_hex(40),
|
|
"conversationHistoryOptionsSets": ["autosave","savemem","uprofupd","uprofgen"],
|
|
"gptId": "copilot",
|
|
"isStartOfSession": new_conversation,
|
|
"requestId": request_id,
|
|
"message":{
|
|
**Defaults.location,
|
|
"userIpAddress": get_ip_address(),
|
|
"timestamp": datetime.now().isoformat(),
|
|
"author": "user",
|
|
"inputMethod": "Keyboard",
|
|
"text": prompt,
|
|
"messageType": "Chat",
|
|
"requestId": request_id,
|
|
"messageId": request_id
|
|
},
|
|
"tone": "Balanced" if tone == Tones.copilot else tone,
|
|
"spokenTextMode": "None",
|
|
"conversationId": conversation.conversationId,
|
|
"participant": {"id": conversation.clientId}
|
|
}],
|
|
"invocationId": "0",
|
|
"target": "chat",
|
|
"type": 4
|
|
}
|
|
|
|
if image_request and image_request.get('imageUrl') and image_request.get('originalImageUrl'):
|
|
struct['arguments'][0]['message']['originalImageUrl'] = image_request.get('originalImageUrl')
|
|
struct['arguments'][0]['message']['imageUrl'] = image_request.get('imageUrl')
|
|
struct['arguments'][0]['experienceType'] = None
|
|
struct['arguments'][0]['attachedFileInfo'] = {"fileName": None, "fileType": None}
|
|
|
|
if context:
|
|
struct['arguments'][0]['previousMessages'] = [{
|
|
"author": "user",
|
|
"description": context,
|
|
"contextType": "ClientApp",
|
|
"messageType": "Context",
|
|
"messageId": "discover-web--page-ping-mriduna-----"
|
|
}]
|
|
|
|
return format_message(struct)
|
|
|
|
async def stream_generate(
|
|
prompt: str,
|
|
tone: str,
|
|
image: ImageType = None,
|
|
context: str = None,
|
|
cookies: dict = None,
|
|
api_key: str = None,
|
|
proxy: str = None,
|
|
web_search: bool = False,
|
|
gpt4_turbo: bool = False,
|
|
timeout: int = 900,
|
|
conversation: Conversation = None,
|
|
return_conversation: bool = False,
|
|
raise_apology: bool = False,
|
|
max_retries: int = None,
|
|
sleep_retry: int = 15,
|
|
**kwargs
|
|
):
|
|
"""
|
|
Asynchronously streams generated responses from the Bing API.
|
|
|
|
:param prompt: The user's input prompt.
|
|
:param tone: The desired tone for the response.
|
|
:param image: The image type involved in the response.
|
|
:param context: Additional context for the prompt.
|
|
:param cookies: Cookies for the session.
|
|
:param web_search: Flag to enable web search.
|
|
:param gpt4_turbo: Flag to enable GPT-4 Turbo.
|
|
:param timeout: Timeout for the request.
|
|
:return: An asynchronous generator yielding responses.
|
|
"""
|
|
headers = await create_headers(cookies, api_key)
|
|
new_conversation = conversation is None
|
|
max_retries = (5 if new_conversation else 0) if max_retries is None else max_retries
|
|
first = True
|
|
while first or conversation is None:
|
|
async with StreamSession(timeout=timeout, proxy=proxy) as session:
|
|
first = False
|
|
do_read = True
|
|
try:
|
|
if conversation is None:
|
|
conversation = await create_conversation(session, headers, tone)
|
|
if return_conversation:
|
|
yield conversation
|
|
except (ResponseStatusError, RateLimitError) as e:
|
|
max_retries -= 1
|
|
if max_retries < 1:
|
|
raise e
|
|
if debug.logging:
|
|
print(f"Bing: Retry: {e}")
|
|
headers = await create_headers()
|
|
await asyncio.sleep(sleep_retry)
|
|
continue
|
|
|
|
image_request = await upload_image(
|
|
session,
|
|
image,
|
|
"Balanced" if tone == Tones.copilot else tone,
|
|
headers
|
|
) if image else None
|
|
async with session.ws_connect(
|
|
'wss://s.copilot.microsoft.com/sydney/ChatHub'
|
|
if tone == "Copilot" else
|
|
'wss://sydney.bing.com/sydney/ChatHub',
|
|
autoping=False,
|
|
params={'sec_access_token': conversation.conversationSignature},
|
|
headers=headers
|
|
) as wss:
|
|
await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
|
|
await wss.send_str(format_message({"type": 6}))
|
|
await wss.receive_str()
|
|
await wss.send_str(create_message(
|
|
conversation, prompt, tone,
|
|
context if new_conversation else None,
|
|
image_request, web_search, gpt4_turbo,
|
|
new_conversation
|
|
))
|
|
response_txt = ''
|
|
returned_text = ''
|
|
message_id = None
|
|
while do_read:
|
|
try:
|
|
msg = await wss.receive_str()
|
|
except TypeError:
|
|
continue
|
|
objects = msg.split(Defaults.delimiter)
|
|
for obj in objects:
|
|
if not obj:
|
|
continue
|
|
try:
|
|
response = json.loads(obj)
|
|
except ValueError:
|
|
continue
|
|
if response and response.get('type') == 1 and response['arguments'][0].get('messages'):
|
|
message = response['arguments'][0]['messages'][0]
|
|
if message_id is not None and message_id != message["messageId"]:
|
|
returned_text = ''
|
|
message_id = message["messageId"]
|
|
image_response = None
|
|
if (raise_apology and message['contentOrigin'] == 'Apology'):
|
|
raise ResponseError("Apology Response Error")
|
|
if 'adaptiveCards' in message:
|
|
card = message['adaptiveCards'][0]['body'][0]
|
|
if "text" in card:
|
|
response_txt = card.get('text')
|
|
if message.get('messageType') and "inlines" in card:
|
|
inline_txt = card['inlines'][0].get('text')
|
|
response_txt += f"{inline_txt}\n"
|
|
elif message.get('contentType') == "IMAGE":
|
|
prompt = message.get('text')
|
|
try:
|
|
image_client = BingCreateImages(cookies, proxy, api_key)
|
|
image_response = await image_client.create_async(prompt)
|
|
except Exception as e:
|
|
if debug.logging:
|
|
print(f"Bing: Failed to create images: {e}")
|
|
image_response = f"\nhttps://www.bing.com/images/create?q={parse.quote(prompt)}"
|
|
if response_txt.startswith(returned_text):
|
|
new = response_txt[len(returned_text):]
|
|
if new not in ("", "\n"):
|
|
yield new
|
|
returned_text = response_txt
|
|
if image_response is not None:
|
|
yield image_response
|
|
elif response.get('type') == 2:
|
|
result = response['item']['result']
|
|
do_read = False
|
|
if result.get('error'):
|
|
max_retries -= 1
|
|
if max_retries < 1:
|
|
if result["value"] == "CaptchaChallenge":
|
|
raise RateLimitError(f"{result['value']}: Use other cookies or/and ip address")
|
|
else:
|
|
raise RuntimeError(f"{result['value']}: {result['message']}")
|
|
if debug.logging:
|
|
print(f"Bing: Retry: {result['value']}: {result['message']}")
|
|
headers = await create_headers()
|
|
conversation = None
|
|
await asyncio.sleep(sleep_retry)
|
|
break
|
|
elif response.get('type') == 3:
|
|
do_read = False
|
|
break
|
|
if conversation is not None:
|
|
await delete_conversation(session, conversation, headers)
|