0.3.4.0

12 files changed, 326 insertions, 267 deletions

diff --git a/g4f/Provider/Airforce.py b/g4f/Provider/Airforce.py
index c7ae44c0..6254e160 100644
--- a/g4f/Provider/Airforce.py
+++ b/g4f/Provider/Airforce.py
@@ -1,59 +1,171 @@
 from __future__ import annotations
-from typing import Any, Dict
-import inspect
 
-from aiohttp import ClientSession
+import random
+import json
+import re
 
 from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
+from ..image import ImageResponse
+from ..requests import StreamSession, raise_for_status
 from .airforce.AirforceChat import AirforceChat
 from .airforce.AirforceImage import AirforceImage
 
 class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://api.airforce"
     api_endpoint_completions = AirforceChat.api_endpoint
-    api_endpoint_imagine2 = AirforceImage.api_endpoint
+    api_endpoint_imagine = AirforceImage.api_endpoint
     working = True
-    supports_stream = AirforceChat.supports_stream
-    supports_system_message = AirforceChat.supports_system_message
-    supports_message_history = AirforceChat.supports_message_history 
-    
-    default_model = AirforceChat.default_model
-    models = [*AirforceChat.models, *AirforceImage.models]
-    
+    default_model = "gpt-4o-mini"
+    supports_system_message = True
+    supports_message_history = True
+    text_models = [
+        'gpt-4-turbo',
+        default_model,
+        'llama-3.1-70b-turbo',
+        'llama-3.1-8b-turbo',
+    ]
+    image_models = [
+        'flux',
+        'flux-realism',
+        'flux-anime',
+        'flux-3d',
+        'flux-disney',
+        'flux-pixel',
+        'flux-4o',
+        'any-dark',
+    ]
+    models = [
+        *text_models,
+        *image_models,
+    ]
     model_aliases = {
-        **AirforceChat.model_aliases,
-        **AirforceImage.model_aliases
+        "gpt-4o": "chatgpt-4o-latest",
+        "llama-3.1-70b": "llama-3.1-70b-turbo",
+        "llama-3.1-8b": "llama-3.1-8b-turbo",
+        "gpt-4": "gpt-4-turbo",
     }
 
     @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
+    def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        seed: int = None,
+        size: str = "1:1",
+        stream: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+
+        if model in cls.image_models:
+            return cls._generate_image(model, messages, proxy, seed, size)
         else:
-            return cls.default_model
+            return cls._generate_text(model, messages, proxy, stream, **kwargs)
 
     @classmethod
-    async def create_async_generator(cls, model: str, messages: Messages, **kwargs) -> AsyncResult:
-        model = cls.get_model(model)
-        
-        provider = AirforceChat if model in AirforceChat.text_models else AirforceImage
+    async def _generate_image(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        seed: int = None,
+        size: str = "1:1",
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "accept": "*/*",
+            "accept-language": "en-US,en;q=0.9",
+            "cache-control": "no-cache",
+            "origin": "https://llmplayground.net",
+            "user-agent": "Mozilla/5.0"
+        }
+        if seed is None:
+            seed = random.randint(0, 100000)
+        prompt = messages[-1]['content']
 
-        if model not in provider.models:
-            raise ValueError(f"Unsupported model: {model}")
+        async with StreamSession(headers=headers, proxy=proxy) as session:
+            params = {
+                "model": model,
+                "prompt": prompt,
+                "size": size,
+                "seed": seed
+            }
+            async with session.get(f"{cls.api_endpoint_imagine}", params=params) as response:
+                await raise_for_status(response)
+                content_type = response.headers.get('Content-Type', '').lower()
 
-        # Get the signature of the provider's create_async_generator method
-        sig = inspect.signature(provider.create_async_generator)
-        
-        # Filter kwargs to only include parameters that the provider's method accepts
-        filtered_kwargs = {k: v for k, v in kwargs.items() if k in sig.parameters}
+                if 'application/json' in content_type:
+                    raise RuntimeError(await response.json().get("error", {}).get("message"))
+                elif 'image' in content_type:
+                    image_data = b""
+                    async for chunk in response.iter_content():
+                        if chunk:
+                            image_data += chunk
+                    image_url = f"{cls.api_endpoint_imagine}?model={model}&prompt={prompt}&size={size}&seed={seed}"
+                    yield ImageResponse(images=image_url, alt=prompt)
 
-        # Add model and messages to filtered_kwargs
-        filtered_kwargs['model'] = model
-        filtered_kwargs['messages'] = messages
+    @classmethod
+    async def _generate_text(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        stream: bool = False,
+        max_tokens: int = 4096,
+        temperature: float = 1,
+        top_p: float = 1,
+        **kwargs
+    ) -> AsyncResult:
+        headers = {
+            "accept": "*/*",
+            "accept-language": "en-US,en;q=0.9",
+            "authorization": "Bearer missing api key",
+            "content-type": "application/json",
+            "user-agent": "Mozilla/5.0"
+        }
+        async with StreamSession(headers=headers, proxy=proxy) as session:
+            data = {
+                "messages": messages,
+                "model": model,
+                "max_tokens": max_tokens,
+                "temperature": temperature,
+                "top_p": top_p,
+                "stream": stream
+            }
+            async with session.post(cls.api_endpoint_completions, json=data) as response:
+                await raise_for_status(response)
+                content_type = response.headers.get('Content-Type', '').lower()
+                if 'application/json' in content_type:
+                    json_data = await response.json()
+                    if json_data.get("model") == "error":
+                        raise RuntimeError(json_data['choices'][0]['message'].get('content', ''))
+                if stream:
+                    async for line in response.iter_lines():
+                        if line:
+                            line = line.decode('utf-8').strip()
+                            if line.startswith("data: ") and line != "data: [DONE]":
+                                json_data = json.loads(line[6:])
+                                content = json_data['choices'][0]['delta'].get('content', '')
+                                if content:
+                                    yield cls._filter_content(content)
+                else:
+                    json_data = await response.json()
+                    content = json_data['choices'][0]['message']['content']
+                    yield cls._filter_content(content)
 
-        async for result in provider.create_async_generator(**filtered_kwargs):
-            yield result
+    @classmethod
+    def _filter_content(cls, part_response: str) -> str:
+        part_response = re.sub(
+            r"One message exceeds the \d+chars per message limit\..+https:\/\/discord\.com\/invite\/\S+",
+            '',
+            part_response
+        )
+        
+        part_response = re.sub(
+            r"Rate limit \(\d+\/minute\) exceeded\. Join our discord for more: .+https:\/\/discord\.com\/invite\/\S+",
+            '',
+            part_response
+        )
+        return part_response
\ No newline at end of file
diff --git a/g4f/Provider/not_working/AmigoChat.py b/g4f/Provider/AmigoChat.py
index 274a5e14..2e66dccf 100644
--- a/g4f/Provider/not_working/AmigoChat.py
+++ b/g4f/Provider/AmigoChat.py
@@ -2,18 +2,18 @@ from __future__ import annotations
 
 import json
 import uuid
-from aiohttp import ClientSession, ClientTimeout, ClientResponseError
 
-from ...typing import AsyncResult, Messages
-from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from ..helper import format_prompt
-from ...image import ImageResponse
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..image import ImageResponse
+from ..requests import StreamSession, raise_for_status
+from ..errors import ResponseStatusError
 
 class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://amigochat.io/chat/"
     chat_api_endpoint = "https://api.amigochat.io/v1/chat/completions"
     image_api_endpoint = "https://api.amigochat.io/v1/images/generations"
-    working = False
+    working = True
     supports_stream = True
     supports_system_message = True
     supports_message_history = True
@@ -67,15 +67,6 @@ class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
     }
 
     @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
-
-    @classmethod
     def get_personaId(cls, model: str) -> str:
         return cls.persona_ids[model]
 
@@ -86,6 +77,12 @@ class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         stream: bool = False,
+        timeout: int = 300,
+        frequency_penalty: float = 0,
+        max_tokens: int = 4000,
+        presence_penalty: float = 0,
+        temperature: float = 0.5,
+        top_p: float = 0.95,
         **kwargs
     ) -> AsyncResult:
         model = cls.get_model(model)
@@ -113,31 +110,25 @@ class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
                     "x-device-language": "en-US",
                     "x-device-platform": "web",
                     "x-device-uuid": device_uuid,
-                    "x-device-version": "1.0.32"
+                    "x-device-version": "1.0.41"
                 }
                 
-                async with ClientSession(headers=headers) as session:
-                    if model in cls.chat_models:
-                        # Chat completion
+                async with StreamSession(headers=headers, proxy=proxy) as session:
+                    if model not in cls.image_models:
                         data = {
-                            "messages": [{"role": m["role"], "content": m["content"]} for m in messages],
+                            "messages": messages,
                             "model": model,
                             "personaId": cls.get_personaId(model),
-                            "frequency_penalty": 0,
-                            "max_tokens": 4000,
-                            "presence_penalty": 0,
+                            "frequency_penalty": frequency_penalty,
+                            "max_tokens": max_tokens,
+                            "presence_penalty": presence_penalty,
                             "stream": stream,
-                            "temperature": 0.5,
-                            "top_p": 0.95
+                            "temperature": temperature,
+                            "top_p": top_p
                         }
-                        
-                        timeout = ClientTimeout(total=300)  # 5 minutes timeout
-                        async with session.post(cls.chat_api_endpoint, json=data, proxy=proxy, timeout=timeout) as response:
-                            if response.status not in (200, 201):
-                                error_text = await response.text()
-                                raise Exception(f"Error {response.status}: {error_text}")
-                            
-                            async for line in response.content:
+                        async with session.post(cls.chat_api_endpoint, json=data, timeout=timeout) as response:
+                            await raise_for_status(response)
+                            async for line in response.iter_lines():
                                 line = line.decode('utf-8').strip()
                                 if line.startswith('data: '):
                                     if line == 'data: [DONE]':
@@ -164,11 +155,9 @@ class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
                             "model": model,
                             "personaId": cls.get_personaId(model)
                         }
-                        async with session.post(cls.image_api_endpoint, json=data, proxy=proxy) as response:
-                            response.raise_for_status()
-                            
+                        async with session.post(cls.image_api_endpoint, json=data) as response:
+                            await raise_for_status(response)
                             response_data = await response.json()
-                            
                             if "data" in response_data:
                                 image_urls = []
                                 for item in response_data["data"]:
@@ -179,10 +168,8 @@ class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
                                     yield ImageResponse(image_urls, prompt)
                             else:
                                 yield None
-                
                 break
-            
-            except (ClientResponseError, Exception) as e:
+            except (ResponseStatusError, Exception) as e:
                 retry_count += 1
                 if retry_count >= max_retries:
                     raise e
diff --git a/g4f/Provider/Cloudflare.py b/g4f/Provider/Cloudflare.py
index 8fb37bef..825c5027 100644
--- a/g4f/Provider/Cloudflare.py
+++ b/g4f/Provider/Cloudflare.py
@@ -1,72 +1,52 @@
 from __future__ import annotations
 
-from aiohttp import ClientSession
 import asyncio
 import json
 import uuid
-import cloudscraper
-from typing import AsyncGenerator
 
-from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
-from .helper import format_prompt
+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-awq'
-    models = [               
-         '@cf/meta/llama-2-7b-chat-fp16', 
-         '@cf/meta/llama-2-7b-chat-int8', 
-         
-         '@cf/meta/llama-3-8b-instruct', 
-         '@cf/meta/llama-3-8b-instruct-awq', 
-         '@hf/meta-llama/meta-llama-3-8b-instruct', 
-         
-         default_model, 
-         '@cf/meta/llama-3.1-8b-instruct-fp8',  
-         
-         '@cf/meta/llama-3.2-1b-instruct',  
-
-         '@hf/mistral/mistral-7b-instruct-v0.2',
-         
-         '@cf/qwen/qwen1.5-7b-chat-awq', 
-         
-         '@cf/defog/sqlcoder-7b-2',
-    ]
-    
+    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",
-        
-        #"sqlcoder-7b": "@cf/defog/sqlcoder-7b-2",
     }
+    _args: dict = None
 
     @classmethod
-    def get_model(cls, model: str) -> str:
-        if model in cls.models:
-            return model
-        elif model in cls.model_aliases:
-            return cls.model_aliases[model]
-        else:
-            return cls.default_model
+    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(
@@ -75,76 +55,34 @@ class Cloudflare(AsyncGeneratorProvider, ProviderModelMixin):
         messages: Messages,
         proxy: str = None,
         max_tokens: int = 2048,
+        cookies: Cookies = None,
+        timeout: int = 300,
         **kwargs
     ) -> AsyncResult:
         model = cls.get_model(model)
-        
-        headers = {
-            'Accept': 'text/event-stream',
-            'Accept-Language': 'en-US,en;q=0.9',
-            'Cache-Control': 'no-cache',
-            'Content-Type': 'application/json',
-            'Origin': cls.url,
-            'Pragma': 'no-cache',
-            'Referer': f'{cls.url}/',
-            'Sec-Ch-Ua': '"Chromium";v="129", "Not=A?Brand";v="8"',
-            'Sec-Ch-Ua-Mobile': '?0',
-            'Sec-Ch-Ua-Platform': '"Linux"',
-            'Sec-Fetch-Dest': 'empty',
-            'Sec-Fetch-Mode': 'cors',
-            'Sec-Fetch-Site': 'same-origin',
-            'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36',
-        }
-        
-        cookies = {
-            '__cf_bm': uuid.uuid4().hex,
-        }
-        
-        scraper = cloudscraper.create_scraper()
-        
+        if cls._args is None:
+            cls._args = await get_args_from_nodriver(cls.url, proxy, timeout, cookies)
         data = {
-            "messages": [
-                {"role": "user", "content": format_prompt(messages)}
-            ],
+            "messages": messages,
             "lora": None,
             "model": model,
             "max_tokens": max_tokens,
             "stream": True
         }
-        
-        max_retries = 3
-        full_response = ""
-        
-        for attempt in range(max_retries):
-            try:
-                response = scraper.post(
-                    cls.api_endpoint,
-                    headers=headers,
-                    cookies=cookies,
-                    json=data,
-                    stream=True,
-                    proxies={'http': proxy, 'https': proxy} if proxy else None
-                )
-                
-                if response.status_code == 403:
-                    await asyncio.sleep(2 ** attempt)
-                    continue
-                    
-                response.raise_for_status()
-                
-                for line in response.iter_lines():
+        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]':
-                            if full_response:
-                                yield full_response
                             break
                         try:
-                            content = json.loads(line[6:].decode('utf-8'))
-                            if 'response' in content and content['response'] != '</s>':
+                            content = json.loads(line[6:].decode())
+                            if content.get("response") and content.get("response") != '</s>':
                                 yield content['response']
                         except Exception:
-                            continue
-                break
-            except Exception as e:
-                if attempt == max_retries - 1:
-                    raise
+                            continue
\ No newline at end of file
diff --git a/g4f/Provider/DDG.py b/g4f/Provider/DDG.py
index 43cc39c0..c4be0ea8 100644
--- a/g4f/Provider/DDG.py
+++ b/g4f/Provider/DDG.py
@@ -2,12 +2,31 @@ from __future__ import annotations
 
 import json
 import aiohttp
-from aiohttp import ClientSession
+from aiohttp import ClientSession, BaseConnector
 
 from ..typing import AsyncResult, Messages
-from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+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"
@@ -18,81 +37,74 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
     supports_message_history = True
 
     default_model = "gpt-4o-mini"
-    models = [
-        "gpt-4o-mini",
-        "claude-3-haiku-20240307",
-        "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
-        "mistralai/Mixtral-8x7B-Instruct-v0.1"
-    ]
+    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"
+        "mixtral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "gpt-4": "gpt-4o-mini"
     }
 
     @classmethod
-    def get_model(cls, model: str) -> str:
-        return cls.model_aliases.get(model, model) if model in cls.model_aliases else cls.default_model
-
-    @classmethod
-    async def get_vqd(cls):
+    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() as session:
-            try:
-                async with session.get(status_url, headers=headers) as response:
-                    if response.status == 200:
-                        return response.headers.get("x-vqd-4")
-                    else:
-                        print(f"Error: Status code {response.status}")
-                        return None
-            except Exception as e:
-                print(f"Error getting VQD: {e}")
-                return None
+        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: dict = None,
+        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,
         }
-
-        vqd = conversation.get('vqd') if conversation else await cls.get_vqd()
-        if not vqd:
-            raise Exception("Failed to obtain VQD token")
-
-        headers['x-vqd-4'] = vqd
-
-        if conversation:
-            message_history = conversation.get('messages', [])
-            message_history.append({"role": "user", "content": format_prompt(messages)})
-        else:
-            message_history = [{"role": "user", "content": format_prompt(messages)}]
-
-        async with ClientSession(headers=headers) as session:
+        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": model,
-                "messages": message_history
+                "model": conversation.model,
+                "messages": conversation.message_history
             }
-
-            async with session.post(cls.api_endpoint, json=data, proxy=proxy) as response:
-                response.raise_for_status()
+            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')
@@ -105,4 +117,4 @@ class DDG(AsyncGeneratorProvider, ProviderModelMixin):
                                 if 'message' in json_data:
                                     yield json_data['message']
                             except json.JSONDecodeError:
-                                pass
+                                pass
\ No newline at end of file
diff --git a/g4f/Provider/HuggingChat.py b/g4f/Provider/HuggingChat.py
index d4a4b497..509a7f16 100644
--- a/g4f/Provider/HuggingChat.py
+++ b/g4f/Provider/HuggingChat.py
@@ -3,8 +3,13 @@ from __future__ import annotations
 import json
 import requests
 
-from curl_cffi import requests as cf_reqs
+try:
+    from curl_cffi import requests as cf_reqs
+    has_curl_cffi = True
+except ImportError:
+    has_curl_cffi = False
 from ..typing import CreateResult, Messages
+from ..errors import MissingRequirementsError
 from .base_provider import ProviderModelMixin, AbstractProvider
 from .helper import format_prompt
 
@@ -55,6 +60,8 @@ class HuggingChat(AbstractProvider, ProviderModelMixin):
         stream: bool,
         **kwargs
     ) -> CreateResult:
+        if not has_curl_cffi:
+            raise MissingRequirementsError('Install "curl_cffi" package | pip install -U curl_cffi')
         model = cls.get_model(model)
         
         if model in cls.models:
diff --git a/g4f/Provider/Liaobots.py b/g4f/Provider/Liaobots.py
index 7ccfa877..fc50bdee 100644
--- a/g4f/Provider/Liaobots.py
+++ b/g4f/Provider/Liaobots.py
@@ -179,7 +179,7 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
         "gpt-4o": "gpt-4o-2024-08-06",
               
         "gpt-4-turbo": "gpt-4-turbo-2024-04-09",
-        "gpt-4": "gpt-4-0613",
+        "gpt-4": "gpt-4o-mini-free",
         
         "claude-3-opus": "claude-3-opus-20240229",
         "claude-3-opus": "claude-3-opus-20240229-aws",
diff --git a/g4f/Provider/Pi.py b/g4f/Provider/Pi.py
index 68a7357f..6aabe7b1 100644
--- a/g4f/Provider/Pi.py
+++ b/g4f/Provider/Pi.py
@@ -2,20 +2,21 @@ from __future__ import annotations
 
 import json
 
-from ..typing import CreateResult, Messages
-from .base_provider import AbstractProvider, format_prompt
-from ..requests import Session, get_session_from_browser, raise_for_status
+from ..typing import AsyncResult, Messages, Cookies
+from .base_provider import AsyncGeneratorProvider, format_prompt
+from ..requests import StreamSession, get_args_from_nodriver, raise_for_status, merge_cookies
 
-class Pi(AbstractProvider):
+class Pi(AsyncGeneratorProvider):
     url             = "https://pi.ai/talk"
     working         = True
     supports_stream = True
-    _session = None
     default_model = "pi"
     models = [default_model]
+    _headers: dict = None
+    _cookies: Cookies = {}
 
     @classmethod
-    def create_completion(
+    async def create_async_generator(
         cls,
         model: str,
         messages: Messages,
@@ -23,49 +24,52 @@ class Pi(AbstractProvider):
         proxy: str = None,
         timeout: int = 180,
         conversation_id: str = None,
-        webdriver: WebDriver = None,
         **kwargs
-    ) -> CreateResult:
-        if cls._session is None:
-            cls._session = get_session_from_browser(url=cls.url, proxy=proxy, timeout=timeout)
-        if not conversation_id:
-            conversation_id = cls.start_conversation(cls._session)
-            prompt = format_prompt(messages)
-        else:
-            prompt = messages[-1]["content"]
-        answer = cls.ask(cls._session, prompt, conversation_id)
-        for line in answer:
-            if "text" in line:
-                yield line["text"]
-    
+    ) -> AsyncResult:
+        if cls._headers is None:
+            args = await get_args_from_nodriver(cls.url, proxy=proxy, timeout=timeout)
+            cls._cookies = args.get("cookies", {})
+            cls._headers = args.get("headers")
+        async with StreamSession(headers=cls._headers, cookies=cls._cookies, proxy=proxy) as session:
+            if not conversation_id:
+                conversation_id = await cls.start_conversation(session)
+                prompt = format_prompt(messages)
+            else:
+                prompt = messages[-1]["content"]
+            answer = cls.ask(session, prompt, conversation_id)
+            async for line in answer:
+                if "text" in line:
+                    yield line["text"]        
+
     @classmethod
-    def start_conversation(cls, session: Session) -> str:
-        response = session.post('https://pi.ai/api/chat/start', data="{}", headers={
+    async def start_conversation(cls, session: StreamSession) -> str:
+        async with session.post('https://pi.ai/api/chat/start', data="{}", headers={
             'accept': 'application/json',
             'x-api-version': '3'
-        })
-        raise_for_status(response)
-        return response.json()['conversations'][0]['sid']
+        }) as response:
+            await raise_for_status(response)
+            return (await response.json())['conversations'][0]['sid']
         
-    def get_chat_history(session: Session, conversation_id: str):
+    async def get_chat_history(session: StreamSession, conversation_id: str):
         params = {
             'conversation': conversation_id,
         }
-        response = session.get('https://pi.ai/api/chat/history', params=params)
-        raise_for_status(response)
-        return response.json()
+        async with session.get('https://pi.ai/api/chat/history', params=params) as response:
+            await raise_for_status(response)
+            return await response.json()
 
-    def ask(session: Session, prompt: str, conversation_id: str):
+    @classmethod
+    async def ask(cls, session: StreamSession, prompt: str, conversation_id: str):
         json_data = {
             'text': prompt,
             'conversation': conversation_id,
             'mode': 'BASE',
         }
-        response = session.post('https://pi.ai/api/chat', json=json_data, stream=True)
-        raise_for_status(response)
-        for line in response.iter_lines():
-            if line.startswith(b'data: {"text":'):
-               yield json.loads(line.split(b'data: ')[1])
-            elif line.startswith(b'data: {"title":'):
-               yield json.loads(line.split(b'data: ')[1])
-        
+        async with session.post('https://pi.ai/api/chat', json=json_data) as response:
+            await raise_for_status(response)
+            cls._cookies = merge_cookies(cls._cookies, response)
+            async for line in response.iter_lines():
+                if line.startswith(b'data: {"text":'):
+                    yield json.loads(line.split(b'data: ')[1])
+                elif line.startswith(b'data: {"title":'):
+                    yield json.loads(line.split(b'data: ')[1])
diff --git a/g4f/Provider/__init__.py b/g4f/Provider/__init__.py
index da0eacfe..8a162baf 100644
--- a/g4f/Provider/__init__.py
+++ b/g4f/Provider/__init__.py
@@ -13,6 +13,7 @@ from .local            import *
 
 from .AIUncensored     import AIUncensored
 from .Airforce         import Airforce
+from .AmigoChat        import AmigoChat
 from .Bing             import Bing
 from .Blackbox         import Blackbox
 from .ChatGpt          import ChatGpt
diff --git a/g4f/Provider/bing/create_images.py b/g4f/Provider/bing/create_images.py
index 7a08ddfe..45ba30b6 100644
--- a/g4f/Provider/bing/create_images.py
+++ b/g4f/Provider/bing/create_images.py
@@ -132,7 +132,7 @@ async def create_images(session: ClientSession, prompt: str, timeout: int = TIME
 
     redirect_url = response.headers["Location"].replace("&nfy=1", "")
     redirect_url = f"{BING_URL}{redirect_url}"
-    request_id = redirect_url.split("id=")[1]
+    request_id = redirect_url.split("id=")[-1]
     async with session.get(redirect_url) as response:
         response.raise_for_status()
 
diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py
index 3a0d6b29..85e11181 100644
--- a/g4f/Provider/needs_auth/OpenaiChat.py
+++ b/g4f/Provider/needs_auth/OpenaiChat.py
@@ -196,7 +196,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             async with session.get(url, headers=headers) as response:
                 cls._update_request_args(session)
                 if response.status == 401:
-                    raise MissingAuthError('Add a "api_key" or a .har file' if cls._api_key is None else "Invalid api key")
+                    raise MissingAuthError('Add a .har file for OpenaiChat' if cls._api_key is None else "Invalid api key")
                 await raise_for_status(response)
                 data = await response.json()
                 if "categories" in data:
diff --git a/g4f/Provider/not_working/__init__.py b/g4f/Provider/not_working/__init__.py
index a6edf5f8..1bfe7ed9 100644
--- a/g4f/Provider/not_working/__init__.py
+++ b/g4f/Provider/not_working/__init__.py
@@ -2,7 +2,6 @@ from .AI365VIP          import AI365VIP
 from .AIChatFree        import AIChatFree
 from .AiChatOnline      import AiChatOnline
 from .AiChats           import AiChats
-from .AmigoChat         import AmigoChat
 from .Aura              import Aura
 from .Chatgpt4o         import Chatgpt4o
 from .ChatgptFree       import ChatgptFree
diff --git a/g4f/Provider/openai/proofofwork.py b/g4f/Provider/openai/proofofwork.py
index baf8a0ea..55603892 100644
--- a/g4f/Provider/openai/proofofwork.py
+++ b/g4f/Provider/openai/proofofwork.py
@@ -4,7 +4,6 @@ import json
 import base64
 from datetime import datetime, timezone
 
-
 def generate_proof_token(required: bool, seed: str = "", difficulty: str = "", user_agent: str = None, proofTokens: list = None):
     if not required:
         return