Add Aichatos and Blackbox Provider (#1822)

Providers added:
- Feedough - Added a new provider with GPT-3 model
- Cnote - Added a new provider with GPT-3.5 model

g4f/Provider/Aichatos.py

@@ -0,0 +1,57 @@
+from __future__ import annotations
+
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+import random
+
+
+class Aichatos(AsyncGeneratorProvider):
+    url = "https://chat10.aichatos.xyz"
+    api = "https://api.binjie.fun"
+    working = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
+            "Accept": "application/json, text/plain, */*",
+            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Content-Type": "application/json",
+            "Origin": "https://chat10.aichatos.xyz",
+            "DNT": "1",
+            "Sec-GPC": "1",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "cross-site",
+            "TE": "trailers",
+        }
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            userId = random.randint(1000000000000, 9999999999999)
+            system_message: str = "",
+            data = {
+                "prompt": prompt,
+                "userId": "#/chat/{userId}",
+                "network": True,
+                "system": system_message,
+                "withoutContext": False,
+                "stream": True,
+            }
+            async with session.post(f"{cls.api}/api/generateStream", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    if chunk:
+                        yield chunk.decode()

g4f/Provider/Blackbox.py

@@ -0,0 +1,56 @@
+from __future__ import annotations
+
+import uuid
+import secrets
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+
+class Blackbox(AsyncGeneratorProvider):
+    url = "https://www.blackbox.ai"
+    working = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
+            "Accept": "*/*",
+            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": cls.url,
+            "Content-Type": "application/json",
+            "Origin": cls.url,
+            "DNT": "1",
+            "Sec-GPC": "1",
+            "Alt-Used": "www.blackbox.ai",
+            "Connection": "keep-alive",
+        }
+        async with ClientSession(headers=headers) as session:
+            random_id = secrets.token_hex(16)
+            random_user_id = str(uuid.uuid4())
+            data = {
+                "messages": messages,
+                "id": random_id,
+                "userId": random_user_id,
+                "codeModelMode": True,
+                "agentMode": {},
+                "trendingAgentMode": {},
+                "isMicMode": False,
+                "isChromeExt": False,
+                "playgroundMode": False,
+                "webSearchMode": False,
+                "userSystemPrompt": "",
+                "githubToken": None
+            }
+            async with session.post(f"{cls.url}/api/chat", json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    if chunk:
+                        yield chunk.decode()

g4f/Provider/Cnote.py

@@ -0,0 +1,58 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class Cnote(AsyncGeneratorProvider):
+    url = "https://f1.cnote.top"
+    api_url = "https://p1api.xjai.pro/freeapi/chat-process"
+    working = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
+            "Accept": "application/json, text/plain, */*",
+            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Content-Type": "application/json",
+            "Origin": cls.url,
+            "DNT": "1",
+            "Sec-GPC": "1",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "cross-site",
+            "TE": "trailers",
+        }
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            system_message: str = "",
+            data = {
+                "prompt": prompt,
+                "systemMessage": system_message,
+                "temperature": 0.8,
+                "top_p": 1,
+            }
+            async with session.post(cls.api_url, json=data, proxy=proxy) as response:
+                response.raise_for_status()
+                async for chunk in response.content:
+                    if chunk:
+                        try:
+                            data = json.loads(chunk.decode().split("&KFw6loC9Qvy&")[-1])
+                            text = data.get("text", "")
+                            yield text
+                        except (json.JSONDecodeError, IndexError):
+                            pass

g4f/Provider/Feedough.py

@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import json
+from aiohttp import ClientSession
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider
+from .helper import format_prompt
+
+
+class Feedough(AsyncGeneratorProvider):
+    url = "https://www.feedough.com"
+    working = True
+    supports_gpt_35_turbo = True
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
+            "Accept": "*/*",
+            "Accept-Language": "en-US,en;q=0.5",
+            "Accept-Encoding": "gzip, deflate, br",
+            "Referer": "https://www.feedough.com/ai-prompt-generator/",
+            "Content-Type": "application/x-www-form-urlencoded;charset=UTF-8",
+            "Origin": "https://www.feedough.com",
+            "DNT": "1",
+            "Sec-GPC": "1",
+            "Connection": "keep-alive",
+            "Sec-Fetch-Dest": "empty",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Site": "same-origin",
+            "TE": "trailers",
+        }
+        async with ClientSession(headers=headers) as session:
+            prompt = format_prompt(messages)
+            data = {
+                "action": "aixg_generate",
+                "prompt": prompt,
+            }
+            async with session.post(f"{cls.url}/wp-admin/admin-ajax.php", data=data, proxy=proxy) as response:
+                response.raise_for_status()
+                response_text = await response.text()
+                response_json = json.loads(response_text)
+                if response_json["success"]:
+                    message = response_json["data"]["message"]
+                    yield message

g4f/Provider/Liaobots.py

@@ -142,7 +142,7 @@ async def create_async_generator(
                 "model": models[cls.get_model(model)],
                 "messages": messages,
                 "key": "",
-                "prompt": kwargs.get("system_message", "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully."),
+                "prompt": kwargs.get("system_message", "You are a helpful assistant."),
             }
             async with session.post(
                 "https://liaobots.work/api/chat",

g4f/Provider/__init__.py

@@ -11,18 +11,22 @@
 from .needs_auth      import *
 from .unfinished      import *
 
+from .Aichatos         import Aichatos
 from .Aura             import Aura
 from .Bing             import Bing
 from .BingCreateImages import BingCreateImages
+from .Blackbox         import Blackbox
 from .ChatForAi        import ChatForAi
 from .Chatgpt4Online   import Chatgpt4Online
 from .ChatgptAi        import ChatgptAi
 from .ChatgptFree      import ChatgptFree
 from .ChatgptNext      import ChatgptNext
 from .ChatgptX         import ChatgptX
+from .Cnote            import Cnote
 from .DeepInfra        import DeepInfra
 from .DeepInfraImage   import DeepInfraImage
 from .DuckDuckGo       import DuckDuckGo
+from .Feedough         import Feedough
 from .FlowGpt          import FlowGpt
 from .FreeChatgpt      import FreeChatgpt
 from .FreeGpt          import FreeGpt
@@ -62,4 +66,4 @@
 ])
 
 class ProviderUtils:
-    convert: dict[str, ProviderType] = __map__
+    convert: dict[str, ProviderType] = __map__