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from __future__ import annotations
import asyncio
import json
import uuid
from ..typing import AsyncResult, Messages, Cookies
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin, get_running_loop
from ..requests import Session, StreamSession, get_args_from_nodriver, raise_for_status, merge_cookies
class Cloudflare(AsyncGeneratorProvider, ProviderModelMixin):
label = "Cloudflare AI"
url = "https://playground.ai.cloudflare.com"
api_endpoint = "https://playground.ai.cloudflare.com/api/inference"
models_url = "https://playground.ai.cloudflare.com/api/models"
working = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = "@cf/meta/llama-3.1-8b-instruct"
model_aliases = {
"llama-2-7b": "@cf/meta/llama-2-7b-chat-fp16",
"llama-2-7b": "@cf/meta/llama-2-7b-chat-int8",
"llama-3-8b": "@cf/meta/llama-3-8b-instruct",
"llama-3-8b": "@cf/meta/llama-3-8b-instruct-awq",
"llama-3-8b": "@hf/meta-llama/meta-llama-3-8b-instruct",
"llama-3.1-8b": "@cf/meta/llama-3.1-8b-instruct-awq",
"llama-3.1-8b": "@cf/meta/llama-3.1-8b-instruct-fp8",
"llama-3.2-1b": "@cf/meta/llama-3.2-1b-instruct",
"qwen-1.5-7b": "@cf/qwen/qwen1.5-7b-chat-awq",
}
_args: dict = None
@classmethod
def get_models(cls) -> str:
if not cls.models:
if cls._args is None:
get_running_loop(check_nested=True)
args = get_args_from_nodriver(cls.url, cookies={
'__cf_bm': uuid.uuid4().hex,
})
cls._args = asyncio.run(args)
with Session(**cls._args) as session:
response = session.get(cls.models_url)
raise_for_status(response)
json_data = response.json()
cls.models = [model.get("name") for model in json_data.get("models")]
cls._args["cookies"] = merge_cookies(cls._args["cookies"] , response)
return cls.models
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
max_tokens: int = 2048,
cookies: Cookies = None,
timeout: int = 300,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
if cls._args is None:
cls._args = await get_args_from_nodriver(cls.url, proxy, timeout, cookies)
data = {
"messages": messages,
"lora": None,
"model": model,
"max_tokens": max_tokens,
"stream": True
}
async with StreamSession(**cls._args) as session:
async with session.post(
cls.api_endpoint,
json=data,
) as response:
await raise_for_status(response)
cls._args["cookies"] = merge_cookies(cls._args["cookies"] , response)
async for line in response.iter_lines():
if line.startswith(b'data: '):
if line == b'data: [DONE]':
break
try:
content = json.loads(line[6:].decode())
if content.get("response") and content.get("response") != '</s>':
yield content['response']
except Exception:
continue
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