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解决冲突，合并master

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This commit is contained in:
w_xiaolizu
2023-04-28 09:58:16 +08:00
parent 4f7ff3bb42 a219512045
commit 26c20ed2f5
19 changed files with 1113 additions and 254 deletions
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24
request_llm/bridge_all.py
View File

@ -11,7 +11,7 @@
import tiktoken
from functools import lru_cache
from concurrent.futures import ThreadPoolExecutor
from toolbox import get_conf
from toolbox import get_conf, trimmed_format_exc
from request_llm.bridge_chatgpt import predict_no_ui_long_connection as chatgpt_noui
from request_llm.bridge_chatgpt import predict as chatgpt_ui
@ -19,6 +19,9 @@ from request_llm.bridge_chatgpt import predict as chatgpt_ui
from request_llm.bridge_chatgpt import predict_no_ui_long_connection as chatglm_noui
from request_llm.bridge_chatgpt import predict as chatglm_ui
from .bridge_newbing import predict_no_ui_long_connection as newbing_noui
from .bridge_newbing import predict as newbing_ui
# from .bridge_tgui import predict_no_ui_long_connection as tgui_noui
# from .bridge_tgui import predict as tgui_ui
@ -48,6 +51,7 @@ class LazyloadTiktoken(object):
API_URL_REDIRECT, = get_conf("API_URL_REDIRECT")
openai_endpoint = "https://api.openai.com/v1/chat/completions"
api2d_endpoint = "https://openai.api2d.net/v1/chat/completions"
newbing_endpoint = "wss://sydney.bing.com/sydney/ChatHub"
# 兼容旧版的配置
try:
API_URL, = get_conf("API_URL")
@ -59,6 +63,7 @@ except:
# 新版配置
if openai_endpoint in API_URL_REDIRECT: openai_endpoint = API_URL_REDIRECT[openai_endpoint]
if api2d_endpoint in API_URL_REDIRECT: api2d_endpoint = API_URL_REDIRECT[api2d_endpoint]
if newbing_endpoint in API_URL_REDIRECT: newbing_endpoint = API_URL_REDIRECT[newbing_endpoint]
# 获取tokenizer
@ -116,7 +121,15 @@ model_info = {
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
# newbing
"newbing": {
"fn_with_ui": newbing_ui,
"fn_without_ui": newbing_noui,
"endpoint": newbing_endpoint,
"max_token": 4096,
"tokenizer": tokenizer_gpt35,
"token_cnt": get_token_num_gpt35,
},
}
@ -128,10 +141,7 @@ def LLM_CATCH_EXCEPTION(f):
try:
return f(inputs, llm_kwargs, history, sys_prompt, observe_window, console_slience)
except Exception as e:
from toolbox import get_conf
import traceback
proxies, = get_conf('proxies')
tb_str = '\n```\n' + traceback.format_exc() + '\n```\n'
tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
observe_window[0] = tb_str
return tb_str
return decorated
@ -182,7 +192,7 @@ def predict_no_ui_long_connection(inputs, llm_kwargs, history, sys_prompt, obser
def mutex_manager(window_mutex, observe_window):
while True:
time.sleep(0.5)
time.sleep(0.25)
if not window_mutex[-1]: break
# 看门狗（watchdog）
for i in range(n_model):

23
request_llm/bridge_chatglm.py
View File

@ -1,6 +1,7 @@
from transformers import AutoModel, AutoTokenizer
import time
import threading
import importlib
from toolbox import update_ui, get_conf
from multiprocessing import Process, Pipe
@ -18,6 +19,7 @@ class GetGLMHandle(Process):
self.success = True
self.check_dependency()
self.start()
self.threadLock = threading.Lock()
def check_dependency(self):
try:
@ -32,6 +34,7 @@ class GetGLMHandle(Process):
return self.chatglm_model is not None
def run(self):
# 子进程执行
# 第一次运行，加载参数
retry = 0
while True:
@ -53,17 +56,25 @@ class GetGLMHandle(Process):
self.child.send('[Local Message] Call ChatGLM fail 不能正常加载ChatGLM的参数。')
raise RuntimeError("不能正常加载ChatGLM的参数！")
# 进入任务等待状态
while True:
# 进入任务等待状态
kwargs = self.child.recv()
# 收到消息，开始请求
try:
for response, history in self.chatglm_model.stream_chat(self.chatglm_tokenizer, **kwargs):
self.child.send(response)
# # 中途接收可能的终止指令（如果有的话）
# if self.child.poll():
# command = self.child.recv()
# if command == '[Terminate]': break
except:
self.child.send('[Local Message] Call ChatGLM fail.')
# 请求处理结束，开始下一个循环
self.child.send('[Finish]')
def stream_chat(self, **kwargs):
# 主进程执行
self.threadLock.acquire()
self.parent.send(kwargs)
while True:
res = self.parent.recv()
@ -71,7 +82,7 @@ class GetGLMHandle(Process):
yield res
else:
break
return
self.threadLock.release()
global glm_handle
glm_handle = None
@ -130,14 +141,20 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数（如果有的话）
inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
# 处理历史信息
history_feedin = []
history_feedin.append(["What can I do?", system_prompt] )
for i in range(len(history)//2):
history_feedin.append([history[2*i], history[2*i+1]] )
# 开始接收chatglm的回复
response = "[Local Message]: 等待ChatGLM响应中 ..."
for response in glm_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
chatbot[-1] = (inputs, response)
yield from update_ui(chatbot=chatbot, history=history)
# 总结输出
if response == "[Local Message]: 等待ChatGLM响应中 ...":
response = "[Local Message]: ChatGLM响应异常 ..."
history.extend([inputs, response])
yield from update_ui(chatbot=chatbot, history=history)
yield from update_ui(chatbot=chatbot, history=history)

21
request_llm/bridge_chatgpt.py
View File

@ -21,7 +21,7 @@ import importlib
# config_private.py放自己的秘密如API和代理网址
# 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys
from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys, clip_history, trimmed_format_exc
proxies, API_KEY, TIMEOUT_SECONDS, MAX_RETRY = \
get_conf('proxies', 'API_KEY', 'TIMEOUT_SECONDS', 'MAX_RETRY')
@ -144,9 +144,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
chatbot[-1] = (inputs, f"您提供的api-key不满足要求，不包含任何可用于{llm_kwargs['llm_model']}的api-key。您可能选择了错误的模型或请求源。")
yield from update_ui(chatbot=chatbot, history=history, msg="api-key不满足要求") # 刷新界面
return
history.append(inputs); history.append(" ")
history.append(inputs); history.append("")
retry = 0
while True:
try:
@ -198,21 +196,24 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
chunk_decoded = chunk.decode()
error_msg = chunk_decoded
if "reduce the length" in error_msg:
chatbot[-1] = (chatbot[-1][0], "[Local Message] Reduce the length. 本次输入过长，或历史数据过长. 历史缓存数据现已释放，您可以请再次尝试.")
history = [] # 清除历史
if len(history) >= 2: history[-1] = ""; history[-2] = "" # 清除当前溢出的输入：history[-2] 是本次输入, history[-1] 是本次输出
history = clip_history(inputs=inputs, history=history, tokenizer=model_info[llm_kwargs['llm_model']]['tokenizer'],
max_token_limit=(model_info[llm_kwargs['llm_model']]['max_token'])) # history至少释放二分之一
chatbot[-1] = (chatbot[-1][0], "[Local Message] Reduce the length. 本次输入过长, 或历史数据过长. 历史缓存数据已部分释放, 您可以请再次尝试. (若再次失败则更可能是因为输入过长.)")
# history = [] # 清除历史
elif "does not exist" in error_msg:
chatbot[-1] = (chatbot[-1][0], f"[Local Message] Model {llm_kwargs['llm_model']} does not exist. 模型不存在，或者您没有获得体验资格.")
chatbot[-1] = (chatbot[-1][0], f"[Local Message] Model {llm_kwargs['llm_model']} does not exist. 模型不存在, 或者您没有获得体验资格.")
elif "Incorrect API key" in error_msg:
chatbot[-1] = (chatbot[-1][0], "[Local Message] Incorrect API key. OpenAI以提供了不正确的API_KEY为由，拒绝服务.")
chatbot[-1] = (chatbot[-1][0], "[Local Message] Incorrect API key. OpenAI以提供了不正确的API_KEY为由, 拒绝服务.")
elif "exceeded your current quota" in error_msg:
chatbot[-1] = (chatbot[-1][0], "[Local Message] You exceeded your current quota. OpenAI以账户额度不足为由，拒绝服务.")
chatbot[-1] = (chatbot[-1][0], "[Local Message] You exceeded your current quota. OpenAI以账户额度不足为由, 拒绝服务.")
elif "bad forward key" in error_msg:
chatbot[-1] = (chatbot[-1][0], "[Local Message] Bad forward key. API2D账户额度不足.")
elif "Not enough point" in error_msg:
chatbot[-1] = (chatbot[-1][0], "[Local Message] Not enough point. API2D账户点数不足.")
else:
from toolbox import regular_txt_to_markdown
tb_str = '```\n' + traceback.format_exc() + '```'
tb_str = '```\n' + trimmed_format_exc() + '```'
chatbot[-1] = (chatbot[-1][0], f"[Local Message] 异常 \n\n{tb_str} \n\n{regular_txt_to_markdown(chunk_decoded[4:])}")
yield from update_ui(chatbot=chatbot, history=history, msg="Json异常" + error_msg) # 刷新界面
return

251
request_llm/bridge_newbing.py Normal file
View File

@ -0,0 +1,251 @@
"""
========================================================================
第一部分：来自EdgeGPT.py
https://github.com/acheong08/EdgeGPT
========================================================================
"""
from .edge_gpt import NewbingChatbot
load_message = "等待NewBing响应。"
"""
========================================================================
第二部分：子进程Worker（调用主体）
========================================================================
"""
import time
import json
import re
import asyncio
import importlib
import threading
from toolbox import update_ui, get_conf, trimmed_format_exc
from multiprocessing import Process, Pipe
def preprocess_newbing_out(s):
pattern = r'\^(\d+)\^' # 匹配^数字^
sub = lambda m: '\['+m.group(1)+'\]' # 将匹配到的数字作为替换值
result = re.sub(pattern, sub, s) # 替换操作
if '[1]' in result:
result += '\n\n```\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
return result
def preprocess_newbing_out_simple(result):
if '[1]' in result:
result += '\n\n```\n' + "\n".join([r for r in result.split('\n') if r.startswith('[')]) + '\n```\n'
return result
class NewBingHandle(Process):
def __init__(self):
super().__init__(daemon=True)
self.parent, self.child = Pipe()
self.newbing_model = None
self.info = ""
self.success = True
self.local_history = []
self.check_dependency()
self.start()
self.threadLock = threading.Lock()
def check_dependency(self):
try:
self.success = False
import certifi, httpx, rich
self.info = "依赖检测通过，等待NewBing响应。注意目前不能多人同时调用NewBing接口（有线程锁），否则将导致每个人的NewBing问询历史互相渗透。调用NewBing时，会自动使用已配置的代理。"
self.success = True
except:
self.info = "缺少的依赖，如果要使用Newbing，除了基础的pip依赖以外，您还需要运行`pip install -r request_llm/requirements_newbing.txt`安装Newbing的依赖。"
self.success = False
def ready(self):
return self.newbing_model is not None
async def async_run(self):
# 读取配置
NEWBING_STYLE, = get_conf('NEWBING_STYLE')
from request_llm.bridge_all import model_info
endpoint = model_info['newbing']['endpoint']
while True:
# 等待
kwargs = self.child.recv()
question=kwargs['query']
history=kwargs['history']
system_prompt=kwargs['system_prompt']
# 是否重置
if len(self.local_history) > 0 and len(history)==0:
await self.newbing_model.reset()
self.local_history = []
# 开始问问题
prompt = ""
if system_prompt not in self.local_history:
self.local_history.append(system_prompt)
prompt += system_prompt + '\n'
# 追加历史
for ab in history:
a, b = ab
if a not in self.local_history:
self.local_history.append(a)
prompt += a + '\n'
# if b not in self.local_history:
# self.local_history.append(b)
# prompt += b + '\n'
# 问题
prompt += question
self.local_history.append(question)
print('question:', prompt)
# 提交
async for final, response in self.newbing_model.ask_stream(
prompt=question,
conversation_style=NEWBING_STYLE, # ["creative", "balanced", "precise"]
wss_link=endpoint, # "wss://sydney.bing.com/sydney/ChatHub"
):
if not final:
print(response)
self.child.send(str(response))
else:
print('-------- receive final ---------')
self.child.send('[Finish]')
# self.local_history.append(response)
def run(self):
"""
这个函数运行在子进程
"""
# 第一次运行，加载参数
self.success = False
self.local_history = []
if (self.newbing_model is None) or (not self.success):
# 代理设置
proxies, = get_conf('proxies')
if proxies is None:
self.proxies_https = None
else:
self.proxies_https = proxies['https']
# cookie
NEWBING_COOKIES, = get_conf('NEWBING_COOKIES')
try:
cookies = json.loads(NEWBING_COOKIES)
except:
self.success = False
tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
self.child.send(f'[Local Message] 不能加载Newbing组件。NEWBING_COOKIES未填写或有格式错误。')
self.child.send('[Fail]')
self.child.send('[Finish]')
raise RuntimeError(f"不能加载Newbing组件。NEWBING_COOKIES未填写或有格式错误。")
try:
self.newbing_model = NewbingChatbot(proxy=self.proxies_https, cookies=cookies)
except:
self.success = False
tb_str = '\n```\n' + trimmed_format_exc() + '\n```\n'
self.child.send(f'[Local Message] 不能加载Newbing组件。{tb_str}')
self.child.send('[Fail]')
self.child.send('[Finish]')
raise RuntimeError(f"不能加载Newbing组件。")
self.success = True
try:
# 进入任务等待状态
asyncio.run(self.async_run())
except Exception:
tb_str = '```\n' + trimmed_format_exc() + '```'
self.child.send(f'[Local Message] Newbing失败 {tb_str}.')
self.child.send('[Fail]')
self.child.send('[Finish]')
def stream_chat(self, **kwargs):
"""
这个函数运行在主进程
"""
self.threadLock.acquire()
self.parent.send(kwargs) # 发送请求到子进程
while True:
res = self.parent.recv() # 等待newbing回复的片段
if res == '[Finish]':
break # 结束
elif res == '[Fail]':
self.success = False
break
else:
yield res # newbing回复的片段
self.threadLock.release()
"""
========================================================================
第三部分：主进程统一调用函数接口
========================================================================
"""
global newbing_handle
newbing_handle = None
def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
"""
多线程方法
函数的说明请见 request_llm/bridge_all.py
"""
global newbing_handle
if (newbing_handle is None) or (not newbing_handle.success):
newbing_handle = NewBingHandle()
observe_window[0] = load_message + "\n\n" + newbing_handle.info
if not newbing_handle.success:
error = newbing_handle.info
newbing_handle = None
raise RuntimeError(error)
# 没有 sys_prompt 接口，因此把prompt加入 history
history_feedin = []
for i in range(len(history)//2):
history_feedin.append([history[2*i], history[2*i+1]] )
watch_dog_patience = 5 # 看门狗 (watchdog) 的耐心, 设置5秒即可
response = ""
observe_window[0] = "[Local Message]: 等待NewBing响应中 ..."
for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=sys_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
observe_window[0] = preprocess_newbing_out_simple(response)
if len(observe_window) >= 2:
if (time.time()-observe_window[1]) > watch_dog_patience:
raise RuntimeError("程序终止。")
return preprocess_newbing_out_simple(response)
def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
"""
单线程方法
函数的说明请见 request_llm/bridge_all.py
"""
chatbot.append((inputs, "[Local Message]: 等待NewBing响应中 ..."))
global newbing_handle
if (newbing_handle is None) or (not newbing_handle.success):
newbing_handle = NewBingHandle()
chatbot[-1] = (inputs, load_message + "\n\n" + newbing_handle.info)
yield from update_ui(chatbot=chatbot, history=[])
if not newbing_handle.success:
newbing_handle = None
return
if additional_fn is not None:
import core_functional
importlib.reload(core_functional) # 热更新prompt
core_functional = core_functional.get_core_functions()
if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs) # 获取预处理函数（如果有的话）
inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
history_feedin = []
for i in range(len(history)//2):
history_feedin.append([history[2*i], history[2*i+1]] )
chatbot[-1] = (inputs, "[Local Message]: 等待NewBing响应中 ...")
response = "[Local Message]: 等待NewBing响应中 ..."
yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。")
for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, system_prompt=system_prompt, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
chatbot[-1] = (inputs, preprocess_newbing_out(response))
yield from update_ui(chatbot=chatbot, history=history, msg="NewBing响应缓慢，尚未完成全部响应，请耐心完成后再提交新问题。")
if response == "[Local Message]: 等待NewBing响应中 ...": response = "[Local Message]: NewBing响应异常，请刷新界面重试 ..."
history.extend([inputs, response])
yield from update_ui(chatbot=chatbot, history=history, msg="完成全部响应，请提交新问题。")

409
request_llm/edge_gpt.py Normal file
View File

@ -0,0 +1,409 @@
"""
========================================================================
第一部分：来自EdgeGPT.py
https://github.com/acheong08/EdgeGPT
========================================================================
"""
import argparse
import asyncio
import json
import os
import random
import re
import ssl
import sys
import uuid
from enum import Enum
from typing import Generator
from typing import Literal
from typing import Optional
from typing import Union
import websockets.client as websockets
DELIMITER = "\x1e"
# Generate random IP between range 13.104.0.0/14
FORWARDED_IP = (
f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
)
HEADERS = {
"accept": "application/json",
"accept-language": "en-US,en;q=0.9",
"content-type": "application/json",
"sec-ch-ua": '"Not_A Brand";v="99", "Microsoft Edge";v="110", "Chromium";v="110"',
"sec-ch-ua-arch": '"x86"',
"sec-ch-ua-bitness": '"64"',
"sec-ch-ua-full-version": '"109.0.1518.78"',
"sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-model": "",
"sec-ch-ua-platform": '"Windows"',
"sec-ch-ua-platform-version": '"15.0.0"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"x-ms-client-request-id": str(uuid.uuid4()),
"x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32",
"Referer": "https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx",
"Referrer-Policy": "origin-when-cross-origin",
"x-forwarded-for": FORWARDED_IP,
}
HEADERS_INIT_CONVER = {
"authority": "edgeservices.bing.com",
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
"accept-language": "en-US,en;q=0.9",
"cache-control": "max-age=0",
"sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
"sec-ch-ua-arch": '"x86"',
"sec-ch-ua-bitness": '"64"',
"sec-ch-ua-full-version": '"110.0.1587.69"',
"sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-model": '""',
"sec-ch-ua-platform": '"Windows"',
"sec-ch-ua-platform-version": '"15.0.0"',
"sec-fetch-dest": "document",
"sec-fetch-mode": "navigate",
"sec-fetch-site": "none",
"sec-fetch-user": "?1",
"upgrade-insecure-requests": "1",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69",
"x-edge-shopping-flag": "1",
"x-forwarded-for": FORWARDED_IP,
}
def get_ssl_context():
import certifi
ssl_context = ssl.create_default_context()
ssl_context.load_verify_locations(certifi.where())
return ssl_context
class NotAllowedToAccess(Exception):
pass
class ConversationStyle(Enum):
creative = "h3imaginative,clgalileo,gencontentv3"
balanced = "galileo"
precise = "h3precise,clgalileo"
CONVERSATION_STYLE_TYPE = Optional[
Union[ConversationStyle, Literal["creative", "balanced", "precise"]]
]
def _append_identifier(msg: dict) -> str:
"""
Appends special character to end of message to identify end of message
"""
# Convert dict to json string
return json.dumps(msg) + DELIMITER
def _get_ran_hex(length: int = 32) -> str:
"""
Returns random hex string
"""
return "".join(random.choice("0123456789abcdef") for _ in range(length))
class _ChatHubRequest:
"""
Request object for ChatHub
"""
def __init__(
self,
conversation_signature: str,
client_id: str,
conversation_id: str,
invocation_id: int = 0,
) -> None:
self.struct: dict = {}
self.client_id: str = client_id
self.conversation_id: str = conversation_id
self.conversation_signature: str = conversation_signature
self.invocation_id: int = invocation_id
def update(
self,
prompt,
conversation_style,
options,
) -> None:
"""
Updates request object
"""
if options is None:
options = [
"deepleo",
"enable_debug_commands",
"disable_emoji_spoken_text",
"enablemm",
]
if conversation_style:
if not isinstance(conversation_style, ConversationStyle):
conversation_style = getattr(ConversationStyle, conversation_style)
options = [
"nlu_direct_response_filter",
"deepleo",
"disable_emoji_spoken_text",
"responsible_ai_policy_235",
"enablemm",
conversation_style.value,
"dtappid",
"cricinfo",
"cricinfov2",
"dv3sugg",
]
self.struct = {
"arguments": [
{
"source": "cib",
"optionsSets": options,
"sliceIds": [
"222dtappid",
"225cricinfo",
"224locals0",
],
"traceId": _get_ran_hex(32),
"isStartOfSession": self.invocation_id == 0,
"message": {
"author": "user",
"inputMethod": "Keyboard",
"text": prompt,
"messageType": "Chat",
},
"conversationSignature": self.conversation_signature,
"participant": {
"id": self.client_id,
},
"conversationId": self.conversation_id,
},
],
"invocationId": str(self.invocation_id),
"target": "chat",
"type": 4,
}
self.invocation_id += 1
class _Conversation:
"""
Conversation API
"""
def __init__(
self,
cookies,
proxy,
) -> None:
self.struct: dict = {
"conversationId": None,
"clientId": None,
"conversationSignature": None,
"result": {"value": "Success", "message": None},
}
import httpx
self.proxy = proxy
proxy = (
proxy
or os.environ.get("all_proxy")
or os.environ.get("ALL_PROXY")
or os.environ.get("https_proxy")
or os.environ.get("HTTPS_PROXY")
or None
)
if proxy is not None and proxy.startswith("socks5h://"):
proxy = "socks5://" + proxy[len("socks5h://") :]
self.session = httpx.Client(
proxies=proxy,
timeout=30,
headers=HEADERS_INIT_CONVER,
)
for cookie in cookies:
self.session.cookies.set(cookie["name"], cookie["value"])
# Send GET request
response = self.session.get(
url=os.environ.get("BING_PROXY_URL")
or "https://edgeservices.bing.com/edgesvc/turing/conversation/create",
)
if response.status_code != 200:
response = self.session.get(
"https://edge.churchless.tech/edgesvc/turing/conversation/create",
)
if response.status_code != 200:
print(f"Status code: {response.status_code}")
print(response.text)
print(response.url)
raise Exception("Authentication failed")
try:
self.struct = response.json()
except (json.decoder.JSONDecodeError, NotAllowedToAccess) as exc:
raise Exception(
"Authentication failed. You have not been accepted into the beta.",
) from exc
if self.struct["result"]["value"] == "UnauthorizedRequest":
raise NotAllowedToAccess(self.struct["result"]["message"])
class _ChatHub:
"""
Chat API
"""
def __init__(self, conversation) -> None:
self.wss = None
self.request: _ChatHubRequest
self.loop: bool
self.task: asyncio.Task
print(conversation.struct)
self.request = _ChatHubRequest(
conversation_signature=conversation.struct["conversationSignature"],
client_id=conversation.struct["clientId"],
conversation_id=conversation.struct["conversationId"],
)
async def ask_stream(
self,
prompt: str,
wss_link: str,
conversation_style: CONVERSATION_STYLE_TYPE = None,
raw: bool = False,
options: dict = None,
) -> Generator[str, None, None]:
"""
Ask a question to the bot
"""
if self.wss and not self.wss.closed:
await self.wss.close()
# Check if websocket is closed
self.wss = await websockets.connect(
wss_link,
extra_headers=HEADERS,
max_size=None,
ssl=get_ssl_context()
)
await self._initial_handshake()
# Construct a ChatHub request
self.request.update(
prompt=prompt,
conversation_style=conversation_style,
options=options,
)
# Send request
await self.wss.send(_append_identifier(self.request.struct))
final = False
while not final:
objects = str(await self.wss.recv()).split(DELIMITER)
for obj in objects:
if obj is None or not obj:
continue
response = json.loads(obj)
if response.get("type") != 2 and raw:
yield False, response
elif response.get("type") == 1 and response["arguments"][0].get(
"messages",
):
resp_txt = response["arguments"][0]["messages"][0]["adaptiveCards"][
0
]["body"][0].get("text")
yield False, resp_txt
elif response.get("type") == 2:
final = True
yield True, response
async def _initial_handshake(self) -> None:
await self.wss.send(_append_identifier({"protocol": "json", "version": 1}))
await self.wss.recv()
async def close(self) -> None:
"""
Close the connection
"""
if self.wss and not self.wss.closed:
await self.wss.close()
class NewbingChatbot:
"""
Combines everything to make it seamless
"""
def __init__(
self,
cookies,
proxy
) -> None:
if cookies is None:
cookies = {}
self.cookies = cookies
self.proxy = proxy
self.chat_hub: _ChatHub = _ChatHub(
_Conversation(self.cookies, self.proxy),
)
async def ask(
self,
prompt: str,
wss_link: str,
conversation_style: CONVERSATION_STYLE_TYPE = None,
options: dict = None,
) -> dict:
"""
Ask a question to the bot
"""
async for final, response in self.chat_hub.ask_stream(
prompt=prompt,
conversation_style=conversation_style,
wss_link=wss_link,
options=options,
):
if final:
return response
await self.chat_hub.wss.close()
return None
async def ask_stream(
self,
prompt: str,
wss_link: str,
conversation_style: CONVERSATION_STYLE_TYPE = None,
raw: bool = False,
options: dict = None,
) -> Generator[str, None, None]:
"""
Ask a question to the bot
"""
async for response in self.chat_hub.ask_stream(
prompt=prompt,
conversation_style=conversation_style,
wss_link=wss_link,
raw=raw,
options=options,
):
yield response
async def close(self) -> None:
"""
Close the connection
"""
await self.chat_hub.close()
async def reset(self) -> None:
"""
Reset the conversation
"""
await self.close()
self.chat_hub = _ChatHub(_Conversation(self.cookies, self.proxy))

8
request_llm/requirements_newbing.txt Normal file
View File

@ -0,0 +1,8 @@
BingImageCreator
certifi
httpx
prompt_toolkit
requests
rich
websockets
httpx[socks]