4 files changed, 311 insertions, 193 deletions

diff --git a/g4f/Provider/needs_auth/Bard.py b/g4f/Provider/needs_auth/Bard.py
index b1df6909..77c029b8 100644
--- a/g4f/Provider/needs_auth/Bard.py
+++ b/g4f/Provider/needs_auth/Bard.py
@@ -4,7 +4,7 @@ import time
 
 from ...typing import CreateResult, Messages
 from ..base_provider import BaseProvider
-from ..helper import WebDriver, format_prompt, get_browser
+from ..helper import WebDriver, WebDriverSession, format_prompt
 
 class Bard(BaseProvider):
     url = "https://bard.google.com"
@@ -18,34 +18,32 @@ class Bard(BaseProvider):
         messages: Messages,
         stream: bool,
         proxy: str = None,
-        browser: WebDriver = None,
+        web_driver: WebDriver = None,
         user_data_dir: str = None,
         headless: bool = True,
         **kwargs
     ) -> CreateResult:
         prompt = format_prompt(messages)
-        driver = browser if browser else get_browser(user_data_dir, headless, proxy)
+        session = WebDriverSession(web_driver, user_data_dir, headless, proxy=proxy)
+        with session as driver:
+            from selenium.webdriver.common.by import By
+            from selenium.webdriver.support.ui import WebDriverWait
+            from selenium.webdriver.support import expected_conditions as EC
 
-        from selenium.webdriver.common.by import By
-        from selenium.webdriver.support.ui import WebDriverWait
-        from selenium.webdriver.support import expected_conditions as EC
-
-        try:
-            driver.get(f"{cls.url}/chat")
-            wait = WebDriverWait(driver, 10 if headless else 240)
-            wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
-        except:
-            # Reopen browser for login
-            if not browser:
-                driver.quit()
-                driver = get_browser(None, False, proxy)
+            try:
                 driver.get(f"{cls.url}/chat")
-                wait = WebDriverWait(driver, 240)
+                wait = WebDriverWait(driver, 10 if headless else 240)
                 wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
-            else:
-                raise RuntimeError("Prompt textarea not found. You may not be logged in.")
+            except:
+                # Reopen browser for login
+                if not web_driver:
+                    driver = session.reopen(headless=False)
+                    driver.get(f"{cls.url}/chat")
+                    wait = WebDriverWait(driver, 240)
+                    wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "div.ql-editor.textarea")))
+                else:
+                    raise RuntimeError("Prompt textarea not found. You may not be logged in.")
 
-        try:
             # Add hook in XMLHttpRequest
             script = """
 const _http_request_open = XMLHttpRequest.prototype.open;
@@ -72,9 +70,4 @@ XMLHttpRequest.prototype.open = function(method, url) {
                     yield chunk
                     return
                 else:
-                    time.sleep(0.1)
-        finally:
-            if not browser:
-                driver.close()
-                time.sleep(0.1)
-                driver.quit()
\ No newline at end of file
+                    time.sleep(0.1)
\ No newline at end of file
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index eccf2bd7..9fd90812 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -1,20 +1,64 @@
 from __future__ import annotations
 
-import uuid, json, time, asyncio
+import uuid, json, asyncio
 from py_arkose_generator.arkose import get_values_for_request
+from asyncstdlib.itertools import tee
+from async_property import async_cached_property
 
 from ..base_provider import AsyncGeneratorProvider
-from ..helper import get_browser, get_cookies, format_prompt, get_event_loop
+from ..helper import get_browser, get_event_loop
 from ...typing import AsyncResult, Messages
 from ...requests import StreamSession
-from ... import debug
+
+models = {
+    "gpt-3.5":       "text-davinci-002-render-sha",
+    "gpt-3.5-turbo": "text-davinci-002-render-sha",
+    "gpt-4":         "gpt-4",
+    "gpt-4-gizmo":   "gpt-4-gizmo"
+}
 
 class OpenaiChat(AsyncGeneratorProvider):
     url                   = "https://chat.openai.com"
-    needs_auth            = True
     working               = True
+    needs_auth            = True
     supports_gpt_35_turbo = True
-    _access_token         = None
+    supports_gpt_4        = True
+    _access_token: str    = None
+
+    @classmethod
+    async def create(
+        cls,
+        prompt: str = None,
+        model: str = "",
+        messages: Messages = [],
+        history_disabled: bool = False,
+        action: str = "next",
+        conversation_id: str = None,
+        parent_id: str = None,
+        **kwargs
+    ) -> Response:
+        if prompt:
+            messages.append({"role": "user", "content": prompt})
+        generator = cls.create_async_generator(
+            model,
+            messages,
+            history_disabled=history_disabled,
+            action=action,
+            conversation_id=conversation_id,
+            parent_id=parent_id,
+            response_fields=True,
+            **kwargs
+        )
+        fields: ResponseFields = await anext(generator)
+        if "access_token" not in kwargs:
+            kwargs["access_token"] = cls._access_token
+        return Response(
+            generator,
+            fields,
+            action,
+            messages,
+            kwargs
+        )
 
     @classmethod
     async def create_async_generator(
@@ -25,50 +69,56 @@ class OpenaiChat(AsyncGeneratorProvider):
         timeout: int = 120,
         access_token: str = None,
         auto_continue: bool = False,
-        cookies: dict = None,
+        history_disabled: bool = True,
+        action: str = "next",
+        conversation_id: str = None,
+        parent_id: str = None,
+        response_fields: bool = False,
         **kwargs
     ) -> AsyncResult:
-        proxies = {"https": proxy}
+        if not model:
+            model = "gpt-3.5"
+        elif model not in models:
+            raise ValueError(f"Model are not supported: {model}")
+        if not parent_id:
+            parent_id = str(uuid.uuid4())
         if not access_token:
-            access_token = await cls.get_access_token(cookies, proxies)
+            access_token = await cls.get_access_token(proxy)
         headers = {
             "Accept": "text/event-stream",
             "Authorization": f"Bearer {access_token}",
+            "Cookie": 'intercom-device-id-dgkjq2bp=0f047573-a750-46c8-be62-6d54b56e7bf0; ajs_user_id=user-iv3vxisaoNodwWpxmNpMfekH; ajs_anonymous_id=fd91be0b-0251-4222-ac1e-84b1071e9ec1; __Host-next-auth.csrf-token=d2b5f67d56f7dd6a0a42ae4becf2d1a6577b820a5edc88ab2018a59b9b506886%7Ce5c33eecc460988a137cbc72d90ee18f1b4e2f672104f368046df58e364376ac; _cfuvid=gt_mA.q6rue1.7d2.AR0KHpbVBS98i_ppfi.amj2._o-1700353424353-0-604800000; cf_clearance=GkHCfPSFU.NXGcHROoe4FantnqmnNcluhTNHz13Tk.M-1700353425-0-1-dfe77f81.816e9bc2.714615da-0.2.1700353425; __Secure-next-auth.callback-url=https%3A%2F%2Fchat.openai.com; intercom-session-dgkjq2bp=UWdrS1hHazk5VXN1c0V5Q1F0VXdCQmsyTU9pVjJMUkNpWnFnU3dKWmtIdGwxTC9wbjZuMk5hcEc0NWZDOGdndS0tSDNiaDNmMEdIL1RHU1dFWDBwOHFJUT09--f754361b91fddcd23a13b288dcb2bf8c7f509e91; _uasid="Z0FBQUFBQmxXVnV0a3dmVno4czRhcDc2ZVcwaUpSNUdZejlDR25YSk5NYTJQQkpyNmRvOGxjTHMyTlAxWmJhaURrMVhjLXZxQXdZeVpBbU1aczA5WUpHT2dwaS1MOWc4MnhyNWFnbGRzeGdJcGFKT0ZRdnBTMVJHcGV2MGNTSnVQY193c0hqUWIycHhQRVF4dENlZ3phcDdZeHgxdVhoalhrZmtZME9NbWhMQjdVR3Vzc3FRRk0ybjJjNWMwTWtIRjdPb19lUkFtRmV2MDVqd1kwWU11QTYtQkdZenEzVHhLMGplY1hZM3FlYUt1cVZaNWFTRldleEJETzJKQjk1VTJScy1GUnMxUVZWMnVxYklxMjdockVZbkZyd1R4U1RtMnA1ZzlSeXphdmVOVk9xeEdrRkVOSjhwTVd1QzFtQjhBcWdDaE92Q1VlM2pwcjFQTXRuLVJNRVlZSGpIdlZ0aGV3PT0="; _dd_s=rum=0&expire=1700356244884; __Secure-next-auth.session-token=eyJhbGciOiJkaXIiLCJlbmMiOiJBMjU2R0NNIn0..3aK6Fbdy2_8f07bf.8eT2xgonrCnz7ySY6qXFsg3kzL6UQfXKAYaw3tyn-6_X9657zy47k9qGvmi9mF0QKozj5jau3_Ca62AQQ7FmeC6Y2F1urtzqrXqwTTsQ2LuzFPIQkx6KKb2DXc8zW2-oyEzJ_EY5yxfLB2RlRkSh3M7bYNZh4_ltEcfkj38s_kIPGMxv34udtPWGWET99MCjkdwQWXylJag4s0fETA0orsBAKnGCyqAUNJbb_D7BYtGSV-MQ925kZMG6Di_QmfO0HQWURDYjmdRNcuy1PT_xJ1DJko8sjL42i4j3RhkNDkhqCIqyYImz2eHFWHW7rYKxTkrBhlCPMS5hRdcCswD7JYPcSBiwnVRYgyOocFGXoFvQgIZ2FX9NiZ3SMEVM1VwIGSE-qH0H2nMa8_iBvsOgOWJgKjVAvzzyzZvRVDUUHzJrikSFPNONVDU3h-04c1kVL4qIu9DfeTPN7n8AvNmYwMbro0L9-IUAeXNo4-pwF0Kt-AtTsamqWvMqnK4O_YOyLnDDlvkmnOvDC2d5uinwlQIxr6APO6qFfGLlHiLZemKoekxEE1Fx70dl-Ouhk1VIzbF3OC6XNNxeBm9BUYUiHdL0wj2H9rHgX4cz6ZmS_3VTgpD6UJh-evu5KJ2gIvjYmVbyzEN0aPNDxfvBaOm-Ezpy4bUJ2bUrOwNn-0knWkDiTvjYmNhCyefPCtCF6rpKNay8PCw_yh79C4SdEP6Q4V7LI0Tvdi5uz7kLCiBC4AT9L0ao1WDX03mkUOpjvzHDvPLmj8chW3lTVm_kA0eYGQY4wT0jzleWlfV0Q8rB2oYECNLWksA3F1zlGfcl4lQjprvTXRePkvAbMpoJEsZD3Ylq7-foLDLk4-M2LYAFZDs282AY04sFjAjQBxTELFCCuDgTIgTXSIskY_XCxpVXDbdLlbCJY7XVK45ybwtfqwlKRp8Mo0B131uQAFc-migHaUaoGujxJJk21bP8F0OmhNYHBo4FQqE1rQm2JH5bNM7txKeh5KXdJgVUVbRSr7OIp_OF5-Bx_v9eRBGAIDkue26E2-O8Rnrp5zQ5TnvecQLDaUzWavCLPwsZ0_gsOLBxNOmauNYZtF8IElCsQSFDdhoiMxXsYUm4ZYKEAy3GWq8HGTAvBhNkh1hvnI7y-d8-DOaZf_D_D98-olZfm-LUkeosLNpPB9rxYMqViCiW3KrXE9Yx0wlFm5ePKaVvR7Ym_EPhSOhJBKFPCvdTdMZSNPUcW0ZJBVByq0A9sxD51lYq3gaFyqh94S4s_ox182AQ3szGzHkdgLcnQmJG9OYvKxAVcd43eg6_gODAYhx02GjbMw-7JTAhyXSeCrlMteHyOXl8hai-3LilC3PmMzi7Vbu49dhF1s4LcVlUowen5ira44rQQaB26mdaOUoQfodgt66M3RTWGPXyK1Nb72AzSXsCKyaQPbzeb6cN0fdGSdG4ktwvR04eFNEkquo_3aKu2GmUKTD0XcRx9dYrfXjgY-X1DDTVs1YND2gRhdx7FFEeBVjtbj2UqmG3Rvd4IcHGe7OnYWw2MHDcol68SsR1KckXWwWREz7YTGUnDB2M1kx_H4W2mjclytnlHOnYU3RflegRPeSTbdzUZJvGKXCCz45luHkQWN_4DExE76D-9YqbFIz-RY5yL4h-Zs-i2xjm2K-4xCMM9nQIOqhLMqixIZQ2ldDAidKoYtbs5ppzbcBLyrZM96bq9DwRBY3aacqWdlRd-TfX0wv5KO4fo0sSh5FsuhuN0zcEV_NNXgqIEM_p14EcPqgbrAvCBQ8os70TRBQLXiF0EniSofGjxwF8kQvUk3C6Wfc8cTTeN-E6GxCVTn91HBwA1iSEZlRLMVb8_BcRJNqwbgnb_07jR6-eo42u88CR3KQdAWwbQRdMxsURFwZ0ujHXVGG0Ll6qCFBcHXWyDO1x1yHdHnw8_8yF26pnA2iPzrFR-8glMgIA-639sLuGAxjO1_ZuvJ9CAB41Az9S_jaZwaWy215Hk4-BRYD-MKmHtonwo3rrxhE67WJgbbu14efsw5nT6ow961pffgwXov5VA1Rg7nv1E8RvQOx7umWW6o8R4W6L8f2COsmPTXfgwIjoJKkjhUqAQ8ceG7cM0ET-38yaC0ObU8EkXfdGGgxI28qTEZWczG66_iM4hw7QEGCY5Cz2kbO6LETAiw9OsSigtBvDS7f0Ou0bZ41pdK7G3FmvdZAnjWPjObnDF4k4uWfn7mzt0fgj3FyqK20JezRDyGuAbUUhOvtZpc9sJpzxR34eXEZTouuALrHcGuNij4z6rx51FrQsaMtiup8QVrhtZbXtKLMYnWYSbkhuTeN2wY-xV1ZUsQlakIZszzGF7kuIG87KKWMpuPMvbXjz6Pp_gWJiIC6aQuk8xl5g0iBPycf_6Q-MtpuYxzNE2TpI1RyR9mHeXmteoRzrFiWp7yEC-QGNFyAJgxTqxM3CjHh1Jt6IddOsmn89rUo1dZM2Smijv_fbIv3avXLkIPX1KZjILeJCtpU0wAdsihDaRiRgDdx8fG__F8zuP0n7ziHas73cwrfg-Ujr6DhC0gTNxyd9dDA_oho9N7CQcy6EFmfNF2te7zpLony0859jtRv2t1TnpzAa1VvMK4u6mXuJ2XDo04_6GzLO3aPHinMdl1BcIAWnqAqWAu3euGFLTHOhXlfijut9N1OCifd_zWjhVtzlR39uFeCQBU5DyQArzQurdoMx8U1ETsnWgElxGSStRW-YQoPsAJ87eg9trqKspFpTVlAVN3t1GtoEAEhcwhe81SDssLmKGLc.7PqS6jRGTIfgTPlO7Ognvg; __cf_bm=VMWoAKEB45hQSwxXtnYXcurPaGZDJS4dMi6dIMFLwdw-1700355394-0-ATVsbq97iCaTaJbtYr8vtg1Zlbs3nLrJLKVBHYa2Jn7hhkGclqAy8Gbyn5ePEhDRqj93MsQmtayfYLqY5n4WiLY=; __cflb=0H28vVfF4aAyg2hkHFH9CkdHRXPsfCUf6VpYf2kz3RX'
         }
-        messages = [
-            {
-                "id": str(uuid.uuid4()),
-                "author": {"role": "user"},
-                "content": {"content_type": "text", "parts": [format_prompt(messages)]},
-            },
-        ]
-        message_id = str(uuid.uuid4())
-        data = {
-            "action": "next",
-            "arkose_token": await get_arkose_token(proxy),
-            "messages": messages,
-            "conversation_id": None,
-            "parent_message_id": message_id,
-            "model": "text-davinci-002-render-sha",
-            "history_and_training_disabled": not auto_continue,
-        }
-        conversation_id = None
-        end_turn = False
-        while not end_turn:
-            if not auto_continue:
-                end_turn = True
-            async with StreamSession(
-                proxies=proxies,
-                headers=headers,
-                impersonate="chrome107",
-                timeout=timeout
-            ) as session:
+        async with StreamSession(
+            proxies={"https": proxy},
+            impersonate="chrome110",
+            headers=headers,
+            timeout=timeout
+        ) as session:
+            data = {
+                "action": action,
+                "arkose_token": await get_arkose_token(proxy, timeout),
+                "conversation_id": conversation_id,
+                "parent_message_id": parent_id,
+                "model": models[model],
+                "history_and_training_disabled": history_disabled and not auto_continue,
+            }
+            if action != "continue":
+                data["messages"] = [{
+                    "id": str(uuid.uuid4()),
+                    "author": {"role": "user"},
+                    "content": {"content_type": "text", "parts": [messages[-1]["content"]]},
+                }]
+            first = True
+            end_turn = EndTurn()
+            while first or auto_continue and not end_turn.is_end:
+                first = False
                 async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
                     try:
                         response.raise_for_status()
                     except:
-                        raise RuntimeError(f"Response: {await response.text()}")
-                    last_message = ""
+                        raise RuntimeError(f"Error {response.status_code}: {await response.text()}")
+                    last_message = 0
                     async for line in response.iter_lines():
                         if line.startswith(b"data: "):
                             line = line[6:]
@@ -82,50 +132,52 @@ class OpenaiChat(AsyncGeneratorProvider):
                                 continue
                             if "error" in line and line["error"]:
                                 raise RuntimeError(line["error"])
-                            end_turn = line["message"]["end_turn"]
-                            message_id = line["message"]["id"]
-                            if line["conversation_id"]:
-                                conversation_id = line["conversation_id"]
                             if "message_type" not in line["message"]["metadata"]:
                                 continue
-                            if line["message"]["metadata"]["message_type"] in ("next", "continue"):
+                            if line["message"]["author"]["role"] != "assistant":
+                                continue
+                            if line["message"]["metadata"]["message_type"] in ("next", "continue", "variant"):
+                                conversation_id = line["conversation_id"]
+                                parent_id = line["message"]["id"]
+                                if response_fields:
+                                    response_fields = False
+                                    yield ResponseFields(conversation_id, parent_id, end_turn)
                                 new_message = line["message"]["content"]["parts"][0]
-                                yield new_message[len(last_message):]
-                                last_message = new_message
-                            if end_turn:
-                                return
+                                yield new_message[last_message:]
+                                last_message = len(new_message)
+                            if "finish_details" in line["message"]["metadata"]:
+                                if line["message"]["metadata"]["finish_details"]["type"] == "max_tokens":
+                                    end_turn.end()
+
                 data = {
                     "action": "continue",
-                    "arkose_token": await get_arkose_token(proxy),
+                    "arkose_token": await get_arkose_token(proxy, timeout),
                     "conversation_id": conversation_id,
-                    "parent_message_id": message_id,
-                    "model": "text-davinci-002-render-sha",
+                    "parent_message_id": parent_id,
+                    "model": models[model],
                     "history_and_training_disabled": False,
                 }
                 await asyncio.sleep(5)
 
     @classmethod
-    async def browse_access_token(cls) -> str:
+    async def browse_access_token(cls, proxy: str = None) -> str:
         def browse() -> str:
             try:
                 from selenium.webdriver.common.by import By
                 from selenium.webdriver.support.ui import WebDriverWait
                 from selenium.webdriver.support import expected_conditions as EC
 
-                driver = get_browser()
+                driver = get_browser("~/openai", proxy=proxy)
             except ImportError:
                 return
-
-            driver.get(f"{cls.url}/")
             try:
+                driver.get(f"{cls.url}/")
                 WebDriverWait(driver, 1200).until(
                     EC.presence_of_element_located((By.ID, "prompt-textarea"))
                 )
                 javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
                 return driver.execute_script(javascript)
             finally:
-                driver.close()
-                time.sleep(0.1)
                 driver.quit()
         loop = get_event_loop()
         return await loop.run_in_executor(
@@ -134,22 +186,9 @@ class OpenaiChat(AsyncGeneratorProvider):
         )
 
     @classmethod
-    async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
-        async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
-            async with session.get(f"{cls.url}/api/auth/session") as response:
-                response.raise_for_status()
-                auth = await response.json()
-                if "accessToken" in auth:
-                    return auth["accessToken"]
-
-    @classmethod
-    async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
-        if not cls._access_token:
-            cookies = cookies if cookies else get_cookies("chat.openai.com")
-            if cookies:
-                cls._access_token = await cls.fetch_access_token(cookies, proxies)
+    async def get_access_token(cls, proxy: str = None) -> str:
         if not cls._access_token:
-            cls._access_token = await cls.browse_access_token()
+            cls._access_token = await cls.browse_access_token(proxy)
         if not cls._access_token:
             raise RuntimeError("Read access token failed")
         return cls._access_token
@@ -163,12 +202,11 @@ class OpenaiChat(AsyncGeneratorProvider):
             ("stream", "bool"),
             ("proxy", "str"),
             ("access_token", "str"),
-            ("cookies", "dict[str, str]")
         ]
         param = ", ".join([": ".join(p) for p in params])
         return f"g4f.provider.{cls.__name__} supports: ({param})"
     
-async def get_arkose_token(proxy: str = None) -> str:
+async def get_arkose_token(proxy: str = None, timeout: int = None) -> str:
     config = {
         "pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
         "surl": "https://tcr9i.chat.openai.com",
@@ -181,10 +219,98 @@ async def get_arkose_token(proxy: str = None) -> str:
     async with StreamSession(
         proxies={"https": proxy},
         impersonate="chrome107",
+        timeout=timeout
     ) as session:
         async with session.post(**args_for_request) as response:
             response.raise_for_status()
             decoded_json = await response.json()
             if "token" in decoded_json:
                 return decoded_json["token"]
-            raise RuntimeError(f"Response: {decoded_json}")
\ No newline at end of file
+            raise RuntimeError(f"Response: {decoded_json}")
+        
+class EndTurn():
+    def __init__(self):
+        self.is_end = False
+
+    def end(self):
+        self.is_end = True
+
+class ResponseFields():
+    def __init__(
+        self,
+        conversation_id: str,
+        message_id: str,
+        end_turn: EndTurn
+    ):
+        self.conversation_id = conversation_id
+        self.message_id = message_id
+        self._end_turn = end_turn
+        
+class Response():
+    def __init__(
+        self,
+        generator: AsyncResult,
+        fields: ResponseFields,
+        action: str,
+        messages: Messages,
+        options: dict
+    ):
+        self.aiter, self.copy = tee(generator)
+        self.fields = fields
+        self.action = action
+        self._messages = messages
+        self._options = options
+
+    def __aiter__(self):
+        return self.aiter
+    
+    @async_cached_property
+    async def message(self) -> str:
+        return "".join([chunk async for chunk in self.copy])
+    
+    async def next(self, prompt: str, **kwargs) -> Response:
+        return await OpenaiChat.create(
+            **self._options,
+            prompt=prompt,
+            messages=await self.messages,
+            action="next",
+            conversation_id=self.fields.conversation_id,
+            parent_id=self.fields.message_id,
+            **kwargs
+        )
+    
+    async def do_continue(self, **kwargs) -> Response:
+        if self.end_turn:
+            raise RuntimeError("Can't continue message. Message already finished.")
+        return await OpenaiChat.create(
+            **self._options,
+            messages=await self.messages,
+            action="continue",
+            conversation_id=self.fields.conversation_id,
+            parent_id=self.fields.message_id,
+            **kwargs
+        )
+    
+    async def variant(self, **kwargs) -> Response:
+        if self.action != "next":
+            raise RuntimeError("Can't create variant with continue or variant request.")
+        return await OpenaiChat.create(
+            **self._options,
+            messages=self._messages,
+            action="variant",
+            conversation_id=self.fields.conversation_id,
+            parent_id=self.fields.message_id,
+            **kwargs
+        )
+    
+    @async_cached_property
+    async def messages(self):
+        messages = self._messages
+        messages.append({
+            "role": "assistant", "content": await self.message
+        })
+        return messages
+    
+    @property
+    def end_turn(self):
+        return self.fields._end_turn.is_end
\ No newline at end of file
diff --git a/g4f/Provider/needs_auth/Poe.py b/g4f/Provider/needs_auth/Poe.py
index a894bcb1..1c8c97d7 100644
--- a/g4f/Provider/needs_auth/Poe.py
+++ b/g4f/Provider/needs_auth/Poe.py
@@ -4,7 +4,7 @@ import time
 
 from ...typing import CreateResult, Messages
 from ..base_provider import BaseProvider
-from ..helper import WebDriver, format_prompt, get_browser
+from ..helper import WebDriver, WebDriverSession, format_prompt
 
 models = {
     "meta-llama/Llama-2-7b-chat-hf": {"name": "Llama-2-7b"},
@@ -33,7 +33,7 @@ class Poe(BaseProvider):
         messages: Messages,
         stream: bool,
         proxy: str = None,
-        browser: WebDriver = None,
+        web_driver: WebDriver = None,
         user_data_dir: str = None,
         headless: bool = True,
         **kwargs
@@ -43,56 +43,54 @@ class Poe(BaseProvider):
         elif model not in models:
             raise ValueError(f"Model are not supported: {model}")
         prompt = format_prompt(messages)
-        driver = browser if browser else get_browser(user_data_dir, headless, proxy)
 
-        script = """
-window._message = window._last_message = "";
-window._message_finished = false;
-class ProxiedWebSocket extends WebSocket {
-  constructor(url, options) {
-    super(url, options);
-    this.addEventListener("message", (e) => {
-        const data = JSON.parse(JSON.parse(e.data)["messages"][0])["payload"]["data"];
-        if ("messageAdded" in data) {
-            if (data["messageAdded"]["author"] != "human") {
-                window._message = data["messageAdded"]["text"];
-                if (data["messageAdded"]["state"] == "complete") {
-                    window._message_finished = true;
+        session = WebDriverSession(web_driver, user_data_dir, headless, proxy=proxy)
+        with session as driver:
+            from selenium.webdriver.common.by import By
+            from selenium.webdriver.support.ui import WebDriverWait
+            from selenium.webdriver.support import expected_conditions as EC
+
+            driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
+                "source": """
+    window._message = window._last_message = "";
+    window._message_finished = false;
+    class ProxiedWebSocket extends WebSocket {
+    constructor(url, options) {
+        super(url, options);
+        this.addEventListener("message", (e) => {
+            const data = JSON.parse(JSON.parse(e.data)["messages"][0])["payload"]["data"];
+            if ("messageAdded" in data) {
+                if (data["messageAdded"]["author"] != "human") {
+                    window._message = data["messageAdded"]["text"];
+                    if (data["messageAdded"]["state"] == "complete") {
+                        window._message_finished = true;
+                    }
                 }
             }
-        }
-    });
-  }
-}
-window.WebSocket = ProxiedWebSocket;
-"""
-        driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
-            "source": script
-        })
-
-        from selenium.webdriver.common.by import By
-        from selenium.webdriver.support.ui import WebDriverWait
-        from selenium.webdriver.support import expected_conditions as EC
+        });
+    }
+    }
+    window.WebSocket = ProxiedWebSocket;
+    """
+            })
 
-        try:
-            driver.get(f"{cls.url}/{models[model]['name']}")
-            wait = WebDriverWait(driver, 10 if headless else 240)
-            wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
-        except:
-            # Reopen browser for login
-            if not browser:
-                driver.quit()
-                driver = get_browser(None, False, proxy)
+            try:
                 driver.get(f"{cls.url}/{models[model]['name']}")
-                wait = WebDriverWait(driver, 240)
+                wait = WebDriverWait(driver, 10 if headless else 240)
                 wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
-            else:
-                raise RuntimeError("Prompt textarea not found. You may not be logged in.")
+            except:
+                # Reopen browser for login
+                if not web_driver:
+                    driver = session.reopen(headless=False)
+                    driver.get(f"{cls.url}/{models[model]['name']}")
+                    wait = WebDriverWait(driver, 240)
+                    wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "textarea[class^='GrowingTextArea']")))
+                else:
+                    raise RuntimeError("Prompt textarea not found. You may not be logged in.")
 
-        driver.find_element(By.CSS_SELECTOR, "footer textarea[class^='GrowingTextArea']").send_keys(prompt)
-        driver.find_element(By.CSS_SELECTOR, "footer button[class*='ChatMessageSendButton']").click()
+            driver.find_element(By.CSS_SELECTOR, "footer textarea[class^='GrowingTextArea']").send_keys(prompt)
+            driver.find_element(By.CSS_SELECTOR, "footer button[class*='ChatMessageSendButton']").click()
 
-        try:
             script = """
 if(window._message && window._message != window._last_message) {
     try {
@@ -113,9 +111,4 @@ if(window._message && window._message != window._last_message) {
                 elif chunk != "":
                     break
                 else:
-                    time.sleep(0.1)
-        finally:
-            if not browser:
-                driver.close()
-                time.sleep(0.1)
-                driver.quit()
\ No newline at end of file
+                    time.sleep(0.1)
\ No newline at end of file
diff --git a/g4f/Provider/needs_auth/Theb.py b/g4f/Provider/needs_auth/Theb.py
index 89c69727..cf33f0c6 100644
--- a/g4f/Provider/needs_auth/Theb.py
+++ b/g4f/Provider/needs_auth/Theb.py
@@ -4,7 +4,7 @@ import time
 
 from ...typing import CreateResult, Messages
 from ..base_provider import BaseProvider
-from ..helper import WebDriver, format_prompt, get_browser
+from ..helper import WebDriver, WebDriverSession, format_prompt
 
 models = {
     "theb-ai": "TheB.AI",
@@ -44,26 +44,60 @@ class Theb(BaseProvider):
         messages: Messages,
         stream: bool,
         proxy: str = None,
-        browser: WebDriver = None,
-        headless: bool = True,
+        web_driver: WebDriver = None,
+        virtual_display: bool = True,
         **kwargs
     ) -> CreateResult:
         if model in models:
             model = models[model]
         prompt = format_prompt(messages)
-        driver = browser if browser else get_browser(None, headless, proxy)
+        web_session = WebDriverSession(web_driver, virtual_display=virtual_display, proxy=proxy)
+        with web_session as driver:
+            from selenium.webdriver.common.by import By
+            from selenium.webdriver.support.ui import WebDriverWait
+            from selenium.webdriver.support import expected_conditions as EC
+            from selenium.webdriver.common.keys import Keys
 
-        from selenium.webdriver.common.by import By
-        from selenium.webdriver.support.ui import WebDriverWait
-        from selenium.webdriver.support import expected_conditions as EC
-        from selenium.webdriver.common.keys import Keys
+            # Register fetch hook
+            script = """
+window._fetch = window.fetch;
+window.fetch = (url, options) => {
+    // Call parent fetch method
+    const result = window._fetch(url, options);
+    if (!url.startsWith("/api/conversation")) {
+        return result;
+    }
+    // Load response reader
+    result.then((response) => {
+        if (!response.body.locked) {
+            window._reader = response.body.getReader();
+        }
+    });
+    // Return dummy response
+    return new Promise((resolve, reject) => {
+        resolve(new Response(new ReadableStream()))
+    });
+}
+window._last_message = "";
+"""
+            driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
+                "source": script
+            })
+
+            try:
+                driver.get(f"{cls.url}/home")
+                wait = WebDriverWait(driver, 5)
+                wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
+            except:
+                driver = web_session.reopen()
+                driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", {
+                    "source": script
+                })
+                driver.get(f"{cls.url}/home")
+                wait = WebDriverWait(driver, 240)
+                wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
 
-        
-        try:
-            driver.get(f"{cls.url}/home")
-            wait = WebDriverWait(driver, 10 if headless else 240)
-            wait.until(EC.visibility_of_element_located((By.TAG_NAME, "body")))
-            time.sleep(0.1)
+            time.sleep(200)
             try:
                 driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
                 driver.find_element(By.CSS_SELECTOR, ".driver-overlay").click()
@@ -87,29 +121,6 @@ class Theb(BaseProvider):
                 button = container.find_element(By.CSS_SELECTOR, "button.btn-blue.btn-small.border")
                 button.click()
 
-            # Register fetch hook
-            script = """
-window._fetch = window.fetch;
-window.fetch = (url, options) => {
-    // Call parent fetch method
-    const result = window._fetch(url, options);
-    if (!url.startsWith("/api/conversation")) {
-        return result;
-    }
-    // Load response reader
-    result.then((response) => {
-        if (!response.body.locked) {
-            window._reader = response.body.getReader();
-        }
-    });
-    // Return dummy response
-    return new Promise((resolve, reject) => {
-        resolve(new Response(new ReadableStream()))
-    });
-}
-window._last_message = "";
-"""
-            driver.execute_script(script)
 
             # Submit prompt
             wait.until(EC.visibility_of_element_located((By.ID, "textareaAutosize")))
@@ -150,9 +161,4 @@ return '';
                 elif chunk != "":
                     break
                 else:
-                    time.sleep(0.1)
-        finally:
-            if not browser:
-                driver.close()
-                time.sleep(0.1)
-                driver.quit()
\ No newline at end of file
+                    time.sleep(0.1)
\ No newline at end of file