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Add conversation support for Bing
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@ -51,6 +51,7 @@ class Bing(AsyncGeneratorProvider, ProviderModelMixin):
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tone: str = None,
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image: ImageType = None,
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web_search: bool = False,
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context: str = None,
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**kwargs
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) -> AsyncResult:
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"""
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@ -67,6 +68,7 @@ class Bing(AsyncGeneratorProvider, ProviderModelMixin):
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:return: An asynchronous result object.
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"""
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prompt = messages[-1]["content"]
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if context is None:
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context = create_context(messages[:-1]) if len(messages) > 1 else None
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if tone is None:
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tone = tone if model.startswith("gpt-4") else model
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@ -126,7 +128,7 @@ class Defaults:
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"ActionRequest","Chat",
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"ConfirmationCard", "Context",
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"InternalSearchQuery", #"InternalSearchResult",
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"Disengaged", #"InternalLoaderMessage",
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#"Disengaged", "InternalLoaderMessage",
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"Progress", "RenderCardRequest",
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"RenderContentRequest", "AdsQuery",
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"SemanticSerp", "GenerateContentQuery",
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@ -160,7 +162,8 @@ class Defaults:
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}
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optionsSets = {
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"balanced": [
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"balanced": {
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"default": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg", "autosave",
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@ -168,7 +171,17 @@ class Defaults:
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"galileo", "saharagenconv5", "gldcl1p",
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"gpt4tmncnp"
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],
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"creative": [
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"nosearch": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg", "autosave",
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"iyxapbing", "iycapbing",
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"galileo", "sunoupsell", "base64filter", "uprv4p1upd",
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"hourthrot", "noctprf", "gndlogcf", "nosearchall"
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]
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},
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"creative": {
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"default": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg",
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@ -176,7 +189,18 @@ class Defaults:
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"h3imaginative", "techinstgnd", "hourthrot", "clgalileo", "gencontentv3",
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"gpt4tmncnp"
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],
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"precise": [
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"nosearch": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg", "autosave",
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"iyxapbing", "iycapbing",
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"h3imaginative", "sunoupsell", "base64filter", "uprv4p1upd",
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"hourthrot", "noctprf", "gndlogcf", "nosearchall",
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"clgalileo", "nocache", "up4rp14bstcst"
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]
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},
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"precise": {
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"default": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg",
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@ -184,6 +208,16 @@ class Defaults:
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"h3precise", "techinstgnd", "hourthrot", "techinstgnd", "hourthrot",
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"clgalileo", "gencontentv3"
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],
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"nosearch": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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"enablemm", "dv3sugg", "autosave",
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"iyxapbing", "iycapbing",
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"h3precise", "sunoupsell", "base64filter", "uprv4p1upd",
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"hourthrot", "noctprf", "gndlogcf", "nosearchall",
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"clgalileo", "nocache", "up4rp14bstcst"
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]
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},
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"copilot": [
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"nlu_direct_response_filter", "deepleo",
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"disable_emoji_spoken_text", "responsible_ai_policy_235",
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@ -244,7 +278,8 @@ def create_message(
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context: str = None,
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image_request: ImageRequest = None,
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web_search: bool = False,
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gpt4_turbo: bool = False
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gpt4_turbo: bool = False,
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new_conversation: bool = True
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) -> str:
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"""
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Creates a message for the Bing API with specified parameters.
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@ -259,7 +294,12 @@ def create_message(
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:return: A formatted string message for the Bing API.
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"""
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options_sets = []
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options_sets = Defaults.optionsSets[tone]
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if not web_search and "nosearch" in options_sets:
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options_sets = options_sets["nosearch"]
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elif "default" in options_sets:
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options_sets = options_sets["default"]
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options_sets = options_sets.copy()
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if gpt4_turbo:
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options_sets.append("dlgpt4t")
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@ -267,7 +307,7 @@ def create_message(
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struct = {
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"arguments":[{
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"source": "cib",
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"optionsSets": [*Defaults.optionsSets[tone], *options_sets],
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"optionsSets": options_sets,
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"allowedMessageTypes": Defaults.allowedMessageTypes,
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"sliceIds": Defaults.sliceIds[tone],
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"verbosity": "verbose",
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@ -276,7 +316,7 @@ def create_message(
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"traceId": get_random_hex(40),
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"conversationHistoryOptionsSets": ["autosave","savemem","uprofupd","uprofgen"],
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"gptId": "copilot",
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"isStartOfSession": True,
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"isStartOfSession": new_conversation,
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"requestId": request_id,
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"message":{
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**Defaults.location,
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@ -330,7 +370,7 @@ async def stream_generate(
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conversation: Conversation = None,
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return_conversation: bool = False,
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raise_apology: bool = False,
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max_retries: int = 5,
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max_retries: int = None,
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sleep_retry: int = 15,
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**kwargs
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):
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@ -348,6 +388,8 @@ async def stream_generate(
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:return: An asynchronous generator yielding responses.
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"""
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headers = create_headers(cookies)
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new_conversation = conversation is None
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max_retries = (5 if new_conversation else 0) if max_retries is None else max_retries
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async with ClientSession(
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timeout=ClientTimeout(total=timeout), connector=connector
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) as session:
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@ -357,7 +399,7 @@ async def stream_generate(
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do_read = True
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try:
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if conversation is None:
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conversation = await create_conversation(session, headers)
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conversation = await create_conversation(session, headers, tone)
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if return_conversation:
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yield conversation
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except ResponseStatusError as e:
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@ -372,6 +414,8 @@ async def stream_generate(
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image_request = await upload_image(session, image, getattr(Tones, tone), headers) if image else None
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async with session.ws_connect(
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'wss://s.copilot.microsoft.com/sydney/ChatHub'
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if tone == "copilot" else
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'wss://sydney.bing.com/sydney/ChatHub',
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autoping=False,
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params={'sec_access_token': conversation.conversationSignature},
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@ -380,7 +424,12 @@ async def stream_generate(
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await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
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await wss.send_str(format_message({"type": 6}))
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await wss.receive(timeout=timeout)
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await wss.send_str(create_message(conversation, prompt, tone, context, image_request, web_search, gpt4_turbo))
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await wss.send_str(create_message(
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conversation, prompt, tone,
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context if new_conversation else None,
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image_request, web_search, gpt4_turbo,
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new_conversation
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))
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response_txt = ''
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returned_text = ''
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message_id = None
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@ -20,7 +20,7 @@ class Conversation:
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self.clientId = clientId
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self.conversationSignature = conversationSignature
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async def create_conversation(session: ClientSession, headers: dict) -> Conversation:
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async def create_conversation(session: ClientSession, headers: dict, tone: str) -> Conversation:
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"""
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Create a new conversation asynchronously.
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@ -31,6 +31,9 @@ async def create_conversation(session: ClientSession, headers: dict) -> Conversa
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Returns:
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Conversation: An instance representing the created conversation.
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"""
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if tone == "copilot":
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url = "https://copilot.microsoft.com/turing/conversation/create?bundleVersion=1.1634.3-nodesign2"
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else:
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url = "https://www.bing.com/turing/conversation/create?bundleVersion=1.1626.1"
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async with session.get(url, headers=headers) as response:
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await raise_for_status(response, "Failed to create conversation")
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@ -198,7 +198,9 @@ const prepare_messages = (messages, filter_last_message=true) => {
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}
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async function add_message_chunk(message) {
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if (message.type == "provider") {
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if (message.type == "conversation") {
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console.info("Conversation used:", message.conversation)
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} else if (message.type == "provider") {
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window.provider_result = message.provider;
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window.content.querySelector('.provider').innerHTML = `
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<a href="${message.provider.url}" target="_blank">
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@ -13,8 +13,12 @@ from g4f.errors import VersionNotFoundError
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from g4f.Provider import ProviderType, __providers__, __map__
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from g4f.providers.base_provider import ProviderModelMixin
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from g4f.Provider.bing.create_images import patch_provider
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from g4f.Provider.Bing import Conversation
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conversations: dict[str, Conversation] = {}
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class Api():
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def get_models(self) -> list[str]:
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"""
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Return a list of all models.
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@ -73,7 +77,8 @@ class Api():
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def get_conversation(self, options: dict, **kwargs) -> Iterator:
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window = webview.active_window()
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for message in self._create_response_stream(
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self._prepare_conversation_kwargs(options, kwargs)
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self._prepare_conversation_kwargs(options, kwargs),
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options.get("conversation_id")
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):
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window.evaluate_js(f"this.add_message_chunk({json.dumps(message)})")
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@ -101,6 +106,10 @@ class Api():
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from .internet import get_search_message
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messages[-1]["content"] = get_search_message(messages[-1]["content"])
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conversation_id = json_data.get("conversation_id")
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if conversation_id and conversation_id in conversations:
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kwargs["conversation"] = conversations[conversation_id]
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model = json_data.get('model')
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model = model if model else models.default
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patch = patch_provider if json_data.get('patch_provider') else None
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@ -112,10 +121,11 @@ class Api():
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"stream": True,
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"ignore_stream": True,
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"patch_provider": patch,
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"return_conversation": True,
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**kwargs
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}
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def _create_response_stream(self, kwargs) -> Iterator:
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def _create_response_stream(self, kwargs, conversation_id: str) -> Iterator:
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"""
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Creates and returns a streaming response for the conversation.
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@ -133,12 +143,15 @@ class Api():
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for chunk in ChatCompletion.create(**kwargs):
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if first:
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first = False
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yield self._format_json('provider', get_last_provider(True))
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if isinstance(chunk, Exception):
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yield self._format_json("provider", get_last_provider(True))
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if isinstance(chunk, Conversation):
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conversations[conversation_id] = chunk
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yield self._format_json("conversation", conversation_id)
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elif isinstance(chunk, Exception):
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logging.exception(chunk)
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yield self._format_json('message', get_error_message(chunk))
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yield self._format_json("message", get_error_message(chunk))
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else:
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yield self._format_json('content', chunk)
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yield self._format_json("content", chunk)
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except Exception as e:
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logging.exception(e)
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yield self._format_json('error', get_error_message(e))
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@ -85,7 +85,7 @@ class Backend_Api(Api):
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kwargs = self._prepare_conversation_kwargs(json_data, kwargs)
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return self.app.response_class(
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self._create_response_stream(kwargs),
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self._create_response_stream(kwargs, json_data.get("conversation_id")),
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mimetype='text/event-stream'
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)
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