Refactor GradientNetwork and ItalyGPT providers; update BAAI_Ling for improved functionality and model handling

g4f/Provider/GradientNetwork.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import json
 
 from ..typing import AsyncResult, Messages
-from ..providers.response import Reasoning
+from ..providers.response import Reasoning, JsonResponse
 from ..requests import StreamSession
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 
@@ -23,7 +23,7 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
     supports_system_message = True
     supports_message_history = True
 
-    default_model = "Qwen3 235B"
+    default_model = "GPT OSS 120B"
     models = [
         default_model,
         "GPT OSS 120B",
@@ -40,9 +40,7 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
         model: str,
         messages: Messages,
         proxy: str = None,
-        temperature: float = None,
+        enable_thinking: bool = True,
-        max_tokens: int = None,
-        enable_thinking: bool = False,
         **kwargs
     ) -> AsyncResult:
         """
@@ -52,8 +50,6 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
             model: The model name to use
             messages: List of message dictionaries
             proxy: Optional proxy URL
-            temperature: Optional temperature parameter
-            max_tokens: Optional max tokens parameter
             enable_thinking: Enable the thinking/analysis channel (maps to enableThinking in API)
             **kwargs: Additional arguments
 
@@ -66,24 +62,18 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
         headers = {
             "Accept": "application/x-ndjson",
             "Content-Type": "application/json",
-            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
             "Origin": cls.url,
             "Referer": f"{cls.url}/",
         }
 
         payload = {
+            "clusterMode": "nvidia" if "GPT OSS" in model else "hybrid",
             "model": model,
             "messages": messages,
         }
-
-        if temperature is not None:
-            payload["temperature"] = temperature
-        if max_tokens is not None:
-            payload["max_tokens"] = max_tokens
         if enable_thinking:
             payload["enableThinking"] = enable_thinking
-
+        async with StreamSession(headers=headers, proxy=proxy, impersonate="chrome") as session:
-        async with StreamSession(headers=headers, proxy=proxy) as session:
             async with session.post(
                 cls.api_endpoint,
                 json=payload,
@@ -96,6 +86,7 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
 
                     try:
                         data = json.loads(line)
+                        yield JsonResponse.from_dict(data)
                         msg_type = data.get("type")
 
                         if msg_type == "reply":
@@ -113,4 +104,4 @@ class GradientNetwork(AsyncGeneratorProvider, ProviderModelMixin):
 
                     except json.JSONDecodeError:
                         # Skip non-JSON lines (may be partial data or empty)
-                        continue
+                        raise

g4f/Provider/ItalyGPT.py

@@ -1,5 +1,6 @@
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from ..typing import AsyncResult, Messages
+from ..requests import DEFAULT_HEADERS
 from aiohttp import ClientSession
 
 class ItalyGPT(AsyncGeneratorProvider, ProviderModelMixin):
@@ -23,10 +24,10 @@ class ItalyGPT(AsyncGeneratorProvider, ProviderModelMixin):
     ) -> AsyncResult:
         model = cls.get_model(model)
         headers = {
+            **DEFAULT_HEADERS,
             "content-type": "application/json",
             "origin": "https://italygpt.it",
             "referer": "https://italygpt.it/",
-            "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"
         }
         payload = {
             "messages": messages,
@@ -34,12 +35,12 @@ class ItalyGPT(AsyncGeneratorProvider, ProviderModelMixin):
         }
         async with ClientSession() as session:
             async with session.post(
-                f"{cls.url}/api/chat/",
+                f"{cls.url}/api/chat",
                 json=payload,
                 headers=headers,
                 proxy=proxy,
             ) as resp:
                 resp.raise_for_status()
-                async for chunk in resp.content:
+                async for chunk in resp.content.iter_any():
                     if chunk:
                         yield chunk.decode()

g4f/Provider/__init__.py

@@ -49,6 +49,7 @@ from .DeepInfra            import DeepInfra
 from .EasyChat             import EasyChat
 from .GLM                  import GLM
 from .GradientNetwork      import GradientNetwork
+from .ItalyGPT             import ItalyGPT
 from .LambdaChat           import LambdaChat
 from .Mintlify             import Mintlify
 from .OIVSCodeSer          import OIVSCodeSer2, OIVSCodeSer0501

g4f/Provider/hf_space/BAAI_Ling.py

@@ -8,12 +8,12 @@ from ...typing import AsyncResult, Messages
 from ...providers.response import JsonConversation
 from ...requests.raise_for_status import raise_for_status
 from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import format_prompt, get_last_user_message
+from ..helper import format_prompt, get_last_user_message, get_system_prompt
 from ... import debug
 
 class BAAI_Ling(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "BAAI Ling"
+    label = "Ling & Ring Playground"
-    url = "https://instspace-ling-playground.hf.space"
+    url = "https://cafe3310-ling-playground.hf.space"
     api_endpoint = f"{url}/gradio_api/queue/join"
 
     working = True
@@ -25,7 +25,7 @@ class BAAI_Ling(AsyncGeneratorProvider, ProviderModelMixin):
     model_aliases = {
         "ling": default_model,
     }
-    models = [default_model]
+    models = ['ling-mini-2.0', 'ling-1t', 'ling-flash-2.0', 'ring-1t', 'ring-flash-2.0', 'ring-mini-2.0']
 
     @classmethod
     async def create_async_generator(
@@ -40,6 +40,7 @@ class BAAI_Ling(AsyncGeneratorProvider, ProviderModelMixin):
         if is_new_conversation:
             conversation = JsonConversation(session_hash=str(uuid.uuid4()).replace('-', '')[:12])
 
+        model = cls.get_model(model)
         prompt = format_prompt(messages) if is_new_conversation else get_last_user_message(messages)
 
         headers = {
@@ -52,10 +53,21 @@ class BAAI_Ling(AsyncGeneratorProvider, ProviderModelMixin):
         }
 
         payload = {
-            "data": [prompt],
+            "data": [
+                prompt,
+                [
+                    [
+                        None,
+                        "Hello! I'm Ling. Try selecting a scenario and a message example below to get started."
+                    ]
+                ],
+                get_system_prompt(messages),
+                1,
+                model
+            ],
             "event_data": None,
-            "fn_index": 0,
+            "fn_index": 11,
-            "trigger_id": 5,
+            "trigger_id": 14,
             "session_hash": conversation.session_hash
         }
 
@@ -79,26 +91,21 @@ class BAAI_Ling(AsyncGeneratorProvider, ProviderModelMixin):
                     if decoded_line.startswith('data: '):
                         try:
                             json_data = json.loads(decoded_line[6:])
-
                             if json_data.get('msg') == 'process_generating':
                                 if 'output' in json_data and 'data' in json_data['output']:
                                     output_data = json_data['output']['data']
                                     if output_data and len(output_data) > 0:
-                                        text = output_data[0]
+                                        parts = output_data[0][0]
-                                        if isinstance(text, str) and text.startswith(full_response):
+                                        if len(parts) == 2:
-                                            yield text[len(full_response):]
+                                            new_text = output_data[0][1].pop()
-                                            full_response = text
+                                            full_response += new_text
-                                        elif isinstance(text, str):
+                                            yield new_text
-                                            yield text
+                                        if len(parts) > 2:
-                                            full_response = text
+                                            new_text = parts[2]
+                                            full_response += new_text
+                                            yield new_text
 
                             elif json_data.get('msg') == 'process_completed':
-                                if 'output' in json_data and 'data' in json_data['output']:
-                                    output_data = json_data['output']['data']
-                                    if output_data and len(output_data) > 0:
-                                        final_text = output_data[0]
-                                        if isinstance(final_text, str) and len(final_text) > len(full_response):
-                                            yield final_text[len(full_response):]
                                break
 
                         except json.JSONDecodeError: