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-rw-r--r--g4f/Provider/Ails.py116
1 files changed, 116 insertions, 0 deletions
diff --git a/g4f/Provider/Ails.py b/g4f/Provider/Ails.py
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+import hashlib
+import json
+import time
+import uuid
+from datetime import datetime
+
+import requests
+
+from ..typing import SHA256, Any, CreateResult
+from .base_provider import BaseProvider
+
+
+class Ails(BaseProvider):
+ url: str = "https://ai.ls"
+ working = True
+ supports_stream = True
+ supports_gpt_35_turbo = True
+
+ @staticmethod
+ def create_completion(
+ model: str,
+ messages: list[dict[str, str]],
+ stream: bool,
+ **kwargs: Any,
+ ) -> CreateResult:
+ headers = {
+ "authority": "api.caipacity.com",
+ "accept": "*/*",
+ "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
+ "authorization": "Bearer free",
+ "client-id": str(uuid.uuid4()),
+ "client-v": _get_client_v(),
+ "content-type": "application/json",
+ "origin": "https://ai.ls",
+ "referer": "https://ai.ls/",
+ "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
+ "sec-ch-ua-mobile": "?0",
+ "sec-ch-ua-platform": '"Windows"',
+ "sec-fetch-dest": "empty",
+ "sec-fetch-mode": "cors",
+ "sec-fetch-site": "cross-site",
+ "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
+ }
+
+ timestamp = _format_timestamp(int(time.time() * 1000))
+ sig = {
+ "d": datetime.now().strftime("%Y-%m-%d"),
+ "t": timestamp,
+ "s": _hash({"t": timestamp, "m": messages[-1]["content"]}),
+ }
+
+ json_data = json.dumps(
+ separators=(",", ":"),
+ obj={
+ "model": "gpt-3.5-turbo",
+ "temperature": kwargs.get("temperature", 0.6),
+ "stream": True,
+ "messages": messages,
+ }
+ | sig,
+ )
+
+ response = requests.post(
+ "https://api.caipacity.com/v1/chat/completions",
+ headers=headers,
+ data=json_data,
+ stream=True,
+ )
+ response.raise_for_status()
+
+ for token in response.iter_lines():
+ if b"content" in token:
+ completion_chunk = json.loads(token.decode().replace("data: ", ""))
+ token = completion_chunk["choices"][0]["delta"].get("content")
+ if token != None:
+ yield token
+
+ @classmethod
+ @property
+ def params(cls):
+ params = [
+ ("model", "str"),
+ ("messages", "list[dict[str, str]]"),
+ ("stream", "bool"),
+ ("temperature", "float"),
+ ]
+ param = ", ".join([": ".join(p) for p in params])
+ return f"g4f.provider.{cls.__name__} supports: ({param})"
+
+
+def _hash(json_data: dict[str, str]) -> SHA256:
+ base_string: str = "%s:%s:%s:%s" % (
+ json_data["t"],
+ json_data["m"],
+ "WI,2rU#_r:r~aF4aJ36[.Z(/8Rv93Rf",
+ len(json_data["m"]),
+ )
+
+ return SHA256(hashlib.sha256(base_string.encode()).hexdigest())
+
+
+def _format_timestamp(timestamp: int) -> str:
+ e = timestamp
+ n = e % 10
+ r = n + 1 if n % 2 == 0 else n
+ return str(e - n + r)
+
+
+def _get_client_v():
+ response = requests.get("https://ai.ls/?chat=1")
+ response.raise_for_status()
+ js_path = response.text.split('crossorigin href="')[1].split('"')[0]
+
+ response = requests.get("https://ai.ls" + js_path)
+ response.raise_for_status()
+ return response.text.split('G4="')[1].split('"')[0]