No arkose token and .har files

g4f/Provider/bing/conversation.py

@@ -3,8 +3,9 @@ from __future__ import annotations
 from aiohttp import ClientSession
 from ...requests import raise_for_status
 from ...errors import RateLimitError
+from ...providers.conversation import BaseConversation
 
-class Conversation:
+class Conversation(BaseConversation):
     """
     Represents a conversation with specific attributes.
     """
@@ -32,7 +33,7 @@ async def create_conversation(session: ClientSession, headers: dict, tone: str)
     Returns:
     Conversation: An instance representing the created conversation.
     """
-    if tone == "copilot":
+    if tone == "Copilot":
         url = "https://copilot.microsoft.com/turing/conversation/create?bundleVersion=1.1634.3-nodesign2"
     else:
         url = "https://www.bing.com/turing/conversation/create?bundleVersion=1.1626.1"

g4f/Provider/needs_auth/OpenaiChat.py

@@ -3,10 +3,10 @@ from __future__ import annotations
 import asyncio
 import uuid
 import json
-import os
 import base64
 import time
 from aiohttp import ClientWebSocketResponse
+from copy import copy
 
 try:
     import webview
@@ -22,13 +22,13 @@ except ImportError:
     pass
 
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import get_cookies
 from ...webdriver import get_browser
 from ...typing import AsyncResult, Messages, Cookies, ImageType, Union, AsyncIterator
 from ...requests import get_args_from_browser, raise_for_status
 from ...requests.aiohttp import StreamSession
 from ...image import to_image, to_bytes, ImageResponse, ImageRequest
-from ...errors import MissingRequirementsError, MissingAuthError, ProviderNotWorkingError
+from ...errors import MissingAuthError
+from ...providers.conversation import BaseConversation
 from ..openai.har_file import getArkoseAndAccessToken
 from ... import debug
 
@@ -56,11 +56,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         prompt: str = None,
         model: str = "",
         messages: Messages = [],
-        history_disabled: bool = False,
-        action: str = "next",
-        conversation_id: str = None,
-        parent_id: str = None,
-        image: ImageType = None,
         **kwargs
     ) -> Response:
         """
@@ -89,12 +84,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         generator = cls.create_async_generator(
             model,
             messages,
-            history_disabled=history_disabled,
+            return_conversation=True,
-            action=action,
-            conversation_id=conversation_id,
-            parent_id=parent_id,
-            image=image,
-            response_fields=True,
             **kwargs
         )
         return Response(
@@ -209,7 +199,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         } for message in messages]
 
         # Check if there is an image response
-        if image_request:
+        if image_request is not None:
             # Change content in last user message
             messages[-1]["content"] = {
                 "content_type": "multimodal_text",
@@ -308,10 +298,11 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         history_disabled: bool = True,
         action: str = "next",
         conversation_id: str = None,
+        conversation: Conversation = None,
         parent_id: str = None,
         image: ImageType = None,
         image_name: str = None,
-        response_fields: bool = False,
+        return_conversation: bool = False,
         **kwargs
     ) -> AsyncResult:
         """
@@ -330,7 +321,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             conversation_id (str): ID of the conversation.
             parent_id (str): ID of the parent message.
             image (ImageType): Image to include in the conversation.
-            response_fields (bool): Flag to include response fields in the output.
+            return_conversation (bool): Flag to include response fields in the output.
             **kwargs: Additional keyword arguments.
 
         Yields:
@@ -387,6 +378,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 arkose_token, api_key, cookies = await getArkoseAndAccessToken(proxy)
                 cls._create_request_args(cookies)
                 cls._set_api_key(api_key)
+                if arkose_token is None:
+                    raise MissingAuthError("No arkose token found in .har file")
 
             try:
                 image_request = await cls.upload_image(session, cls._headers, image, image_name) if image else None
@@ -396,7 +389,8 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                     print(f"{e.__class__.__name__}: {e}")
 
             model = cls.get_model(model).replace("gpt-3.5-turbo", "text-davinci-002-render-sha")
-            fields = ResponseFields()
+            fields = Conversation() if conversation is None else copy(conversation)
+            fields.finish_reason = None
             while fields.finish_reason is None:
                 conversation_id = conversation_id if fields.conversation_id is None else fields.conversation_id
                 parent_id = parent_id if fields.message_id is None else fields.message_id
@@ -422,8 +416,6 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 }
                 if need_arkose:
                     headers["OpenAI-Sentinel-Arkose-Token"] = arkose_token
-                    headers["OpenAI-Sentinel-Chat-Requirements-Token"] = chat_token
-
                 async with session.post(
                     f"{cls.url}/backend-api/conversation",
                     json=data,
@@ -432,15 +424,15 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                     cls._update_request_args(session)
                     await raise_for_status(response)
                     async for chunk in cls.iter_messages_chunk(response.iter_lines(), session, fields):
-                        if response_fields:
+                        if return_conversation:
-                            response_fields = False
+                            return_conversation = False
                             yield fields
                         yield chunk
                 if not auto_continue:
                     break
                 action = "continue"
                 await asyncio.sleep(5)
-            if history_disabled and auto_continue:
+            if history_disabled and auto_continue and not return_conversation:
                 await cls.delete_conversation(session, cls._headers, fields.conversation_id)
 
     @staticmethod
@@ -458,7 +450,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
         cls,
         messages: AsyncIterator,
         session: StreamSession,
-        fields: ResponseFields
+        fields: Conversation
     ) -> AsyncIterator:
         last_message: int = 0
         async for message in messages:
@@ -487,7 +479,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                 break
 
     @classmethod
-    async def iter_messages_line(cls, session: StreamSession, line: bytes, fields: ResponseFields) -> AsyncIterator:
+    async def iter_messages_line(cls, session: StreamSession, line: bytes, fields: Conversation) -> AsyncIterator:
         if not line.startswith(b"data: "):
             return
         elif line.startswith(b"data: [DONE]"):
@@ -618,7 +610,7 @@ this.fetch = async (url, options) => {
     @classmethod
     def _update_request_args(cls, session: StreamSession):
         for c in session.cookie_jar if hasattr(session, "cookie_jar") else session.cookies.jar:
-            cls._cookies[c.name if hasattr(c, "name") else c.key] = c.value
+            cls._cookies[c.key if hasattr(c, "key") else c.name] = c.value
         cls._update_cookie_header()
 
     @classmethod
@@ -631,7 +623,7 @@ this.fetch = async (url, options) => {
     def _update_cookie_header(cls):
         cls._headers["Cookie"] = cls._format_cookies(cls._cookies)
 
-class ResponseFields:
+class Conversation(BaseConversation):
     """
     Class to encapsulate response fields.
     """
@@ -664,7 +656,7 @@ class Response():
             self._generator = None
             chunks = []
             async for chunk in self._generator:
-                if isinstance(chunk, ResponseFields):
+                if isinstance(chunk, Conversation):
                     self._fields = chunk
                 else:
                     yield chunk

g4f/Provider/openai/har_file.py

@@ -11,11 +11,6 @@ from copy import deepcopy
 from .crypt import decrypt, encrypt
 from ...requests import StreamSession
 
-arkPreURL = "https://tcr9i.chat.openai.com/fc/gt2/public_key/35536E1E-65B4-4D96-9D97-6ADB7EFF8147"
-sessionUrl = "https://chat.openai.com/api/auth/session"
-chatArk = None
-accessToken = None
-
 class arkReq:
     def __init__(self, arkURL, arkBx, arkHeader, arkBody, arkCookies, userAgent):
         self.arkURL = arkURL
@@ -25,15 +20,24 @@ class arkReq:
         self.arkCookies = arkCookies
         self.userAgent = userAgent
 
+arkPreURL = "https://tcr9i.chat.openai.com/fc/gt2/public_key/35536E1E-65B4-4D96-9D97-6ADB7EFF8147"
+sessionUrl = "https://chat.openai.com/api/auth/session"
+chatArk: arkReq = None
+accessToken: str = None
+cookies: dict = None
+
 def readHAR():
     dirPath = "./"
     harPath = []
     chatArks = []
     accessToken = None
+    cookies = {}
     for root, dirs, files in os.walk(dirPath):
         for file in files:
             if file.endswith(".har"):
                 harPath.append(os.path.join(root, file))
+        if harPath:
+            break
     if not harPath:
         raise RuntimeError("No .har file found")
     for path in harPath:
@@ -48,11 +52,12 @@ def readHAR():
                     chatArks.append(parseHAREntry(v))
                 elif v['request']['url'] == sessionUrl:
                     accessToken = json.loads(v["response"]["content"]["text"]).get("accessToken")
-    if not chatArks:
+                    cookies = {c['name']: c['value'] for c in v['request']['cookies']}
-        RuntimeError("No arkose requests found in .har files")
     if not accessToken:
         RuntimeError("No accessToken found in .har files")
-    return chatArks.pop(), accessToken
+    if not chatArks:
+        return None, accessToken, cookies
+    return chatArks.pop(), accessToken, cookies
 
 def parseHAREntry(entry) -> arkReq:
     tmpArk = arkReq(
@@ -60,7 +65,7 @@ def parseHAREntry(entry) -> arkReq:
         arkBx="",
         arkHeader={h['name'].lower(): h['value'] for h in entry['request']['headers'] if h['name'].lower() not in ['content-length', 'cookie'] and not h['name'].startswith(':')},
         arkBody={p['name']: unquote(p['value']) for p in entry['request']['postData']['params'] if p['name'] not in ['rnd']},
-        arkCookies=[{'name': c['name'], 'value': c['value'], 'expires': c['expires']} for c in entry['request']['cookies']],
+        arkCookies={c['name']: c['value'] for c in entry['request']['cookies']},
         userAgent=""
     )
     tmpArk.userAgent = tmpArk.arkHeader.get('user-agent', '')
@@ -81,7 +86,6 @@ def genArkReq(chatArk: arkReq) -> arkReq:
     tmpArk.arkBody['bda'] = base64.b64encode(bda.encode()).decode()
     tmpArk.arkBody['rnd'] = str(random.random())
     tmpArk.arkHeader['x-ark-esync-value'] = bw
-    tmpArk.arkCookies = {cookie['name']: cookie['value'] for cookie in tmpArk.arkCookies}
     return tmpArk
 
 async def sendRequest(tmpArk: arkReq, proxy: str = None):
@@ -117,8 +121,10 @@ def getN() -> str:
     return base64.b64encode(timestamp.encode()).decode()
 
 async def getArkoseAndAccessToken(proxy: str):
-    global chatArk, accessToken
+    global chatArk, accessToken, cookies
     if chatArk is None or accessToken is None:
-        chatArk, accessToken = readHAR()
+        chatArk, accessToken, cookies = readHAR()
+    if chatArk is None:
+        return None, accessToken, cookies
     newReq = genArkReq(chatArk)
-    return await sendRequest(newReq, proxy), accessToken, newReq.arkCookies
+    return await sendRequest(newReq, proxy), accessToken, cookies

g4f/gui/server/api.py

@@ -39,9 +39,9 @@ from g4f.errors import VersionNotFoundError
 from g4f.Provider import ProviderType, __providers__, __map__
 from g4f.providers.base_provider import ProviderModelMixin
 from g4f.Provider.bing.create_images import patch_provider
-from g4f.Provider.Bing import Conversation
+from g4f.providers.conversation import BaseConversation
 
-conversations: dict[str, Conversation] = {}
+conversations: dict[str, BaseConversation] = {}
 
 class Api():
 
@@ -230,14 +230,14 @@ class Api():
                 if first:
                     first = False
                     yield self._format_json("provider", get_last_provider(True))
-                if isinstance(chunk, Conversation):
+                if isinstance(chunk, BaseConversation):
                     conversations[conversation_id] = chunk
                     yield self._format_json("conversation", conversation_id)
                 elif isinstance(chunk, Exception):
                     logging.exception(chunk)
                     yield self._format_json("message", get_error_message(chunk))
                 else:
-                    yield self._format_json("content", chunk)
+                    yield self._format_json("content", str(chunk))
         except Exception as e:
             logging.exception(e)
             yield self._format_json('error', get_error_message(e))

g4f/providers/conversation.py

@@ -0,0 +1,2 @@
+class BaseConversation:
+    ...