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from __future__ import annotations
import json
import aiohttp
from aiohttp import ClientSession, BaseConnector
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin, BaseConversation
from .helper import format_prompt
from ..requests.aiohttp import get_connector
from ..requests.raise_for_status import raise_for_status
from .. import debug
MODELS = [
{"model":"gpt-4o","modelName":"GPT-4o","modelVariant":None,"modelStyleId":"gpt-4o-mini","createdBy":"OpenAI","moderationLevel":"HIGH","isAvailable":1,"inputCharLimit":16e3,"settingId":"4"},
{"model":"gpt-4o-mini","modelName":"GPT-4o","modelVariant":"mini","modelStyleId":"gpt-4o-mini","createdBy":"OpenAI","moderationLevel":"HIGH","isAvailable":0,"inputCharLimit":16e3,"settingId":"3"},
{"model":"claude-3-5-sonnet-20240620","modelName":"Claude 3.5","modelVariant":"Sonnet","modelStyleId":"claude-3-haiku","createdBy":"Anthropic","moderationLevel":"HIGH","isAvailable":1,"inputCharLimit":16e3,"settingId":"7"},
{"model":"claude-3-opus-20240229","modelName":"Claude 3","modelVariant":"Opus","modelStyleId":"claude-3-haiku","createdBy":"Anthropic","moderationLevel":"HIGH","isAvailable":1,"inputCharLimit":16e3,"settingId":"2"},
{"model":"claude-3-haiku-20240307","modelName":"Claude 3","modelVariant":"Haiku","modelStyleId":"claude-3-haiku","createdBy":"Anthropic","moderationLevel":"HIGH","isAvailable":0,"inputCharLimit":16e3,"settingId":"1"},
{"model":"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo","modelName":"Llama 3.1","modelVariant":"70B","modelStyleId":"llama-3","createdBy":"Meta","moderationLevel":"MEDIUM","isAvailable":0,"isOpenSource":0,"inputCharLimit":16e3,"settingId":"5"},
{"model":"mistralai/Mixtral-8x7B-Instruct-v0.1","modelName":"Mixtral","modelVariant":"8x7B","modelStyleId":"mixtral","createdBy":"Mistral AI","moderationLevel":"LOW","isAvailable":0,"isOpenSource":0,"inputCharLimit":16e3,"settingId":"6"}
]
class Conversation(BaseConversation):
vqd: str = None
message_history: Messages = []
def __init__(self, model: str):
self.model = model
class DDG(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://duckduckgo.com"
api_endpoint = "https://duckduckgo.com/duckchat/v1/chat"
working = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = "gpt-4o-mini"
models = [model.get("model") for model in MODELS]
model_aliases = {
"claude-3-haiku": "claude-3-haiku-20240307",
"llama-3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
"mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"gpt-4": "gpt-4o-mini"
}
@classmethod
async def get_vqd(cls, proxy: str, connector: BaseConnector = None):
status_url = "https://duckduckgo.com/duckchat/v1/status"
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36',
'Accept': 'text/event-stream',
'x-vqd-accept': '1'
}
async with aiohttp.ClientSession(connector=get_connector(connector, proxy)) as session:
async with session.get(status_url, headers=headers) as response:
await raise_for_status(response)
return response.headers.get("x-vqd-4")
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
conversation: Conversation = None,
return_conversation: bool = False,
proxy: str = None,
connector: BaseConnector = None,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
is_new_conversation = False
if conversation is None:
conversation = Conversation(model)
is_new_conversation = True
debug.last_model = model
if conversation.vqd is None:
conversation.vqd = await cls.get_vqd(proxy, connector)
if not conversation.vqd:
raise Exception("Failed to obtain VQD token")
headers = {
'accept': 'text/event-stream',
'content-type': 'application/json',
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36',
'x-vqd-4': conversation.vqd,
}
async with ClientSession(headers=headers, connector=get_connector(connector, proxy)) as session:
if is_new_conversation:
conversation.message_history = [{"role": "user", "content": format_prompt(messages)}]
else:
conversation.message_history = [
*conversation.message_history,
messages[-2],
messages[-1]
]
if return_conversation:
yield conversation
data = {
"model": conversation.model,
"messages": conversation.message_history
}
async with session.post(cls.api_endpoint, json=data) as response:
conversation.vqd = response.headers.get("x-vqd-4")
await raise_for_status(response)
async for line in response.content:
if line:
decoded_line = line.decode('utf-8')
if decoded_line.startswith('data: '):
json_str = decoded_line[6:]
if json_str == '[DONE]':
break
try:
json_data = json.loads(json_str)
if 'message' in json_data:
yield json_data['message']
except json.JSONDecodeError:
pass
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