1 files changed, 0 insertions, 387 deletions

diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
deleted file mode 100644
index a0bca0ce..00000000
--- a/g4f/Provider/Vercel.py
+++ /dev/null
@@ -1,387 +0,0 @@
-from __future__ import annotations
-
-import json, base64, requests, execjs, random, uuid
-from aiohttp import ClientSession
-
-from ..typing       import Any, TypedDict, AsyncGenerator
-from .base_provider import AsyncGeneratorProvider
-
-
-class Vercel(AsyncGeneratorProvider):
-    url = 'https://sdk.vercel.ai'
-    working               = True
-    supports_gpt_35_turbo = True
-    supports_stream       = True
-    _anti_bot_token       = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        stream: bool,
-        proxy: str = None,
-        **kwargs
-    ) -> AsyncGenerator:
-        if not model:
-            model = "gpt-3.5-turbo"
-        elif model not in model_info:
-            raise ValueError(f"Model are not supported: {model}")
-        
-        if not cls._anti_bot_token:
-            cls._anti_bot_token = get_anti_bot_token(proxy)
-
-        json_data = {
-            'model'       : model_info[model]['id'],
-            'messages'    : messages,
-            'playgroundId': str(uuid.uuid4()),
-            'chatIndex'   : 0
-        } | model_info[model]['default_params']
-        
-        for tries in range(100):
-            headers = {
-                'authority'         : 'sdk.vercel.ai',
-                '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',
-                'cache-control'     : 'no-cache',
-                'content-type'      : 'application/json',
-                'custom-encoding'   : cls._anti_bot_token,
-                'origin'            : 'https://sdk.vercel.ai',
-                'pragma'            : 'no-cache',
-                'referer'           : 'https://sdk.vercel.ai/',
-                'sec-ch-ua'         : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-                'sec-ch-ua-mobile'  : '?0',
-                'sec-ch-ua-platform': '"macOS"',
-                'sec-fetch-dest'    : 'empty',
-                'sec-fetch-mode'    : 'cors',
-                'sec-fetch-site'    : 'same-origin',
-                'user-agent'        :  'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.%s.%s Safari/537.36' % (
-                    random.randint(99, 999),
-                    random.randint(99, 999)
-                )
-            }
-            async with ClientSession(
-                headers=headers
-            ) as session:
-                async with session.post(f"{cls.url}/api/generate", proxy=proxy, json=json_data) as response:
-                    try:
-                        response.raise_for_status()
-                    except Exception as e:
-                        if tries >= 99:
-                            raise e
-                        # Maybe the token is the reason for failing
-                        cls._anti_bot_token = get_anti_bot_token(proxy)
-                        continue
-                    async for token in response.content.iter_any():
-                        yield token.decode()
-                    break    
-
-def get_anti_bot_token(proxy: str = None) -> str:
-    headers = {
-        'authority'         : 'sdk.vercel.ai',
-        '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',
-        'cache-control'     : 'no-cache',
-        'pragma'            : 'no-cache',
-        'referer'           : 'https://sdk.vercel.ai/',
-        'sec-ch-ua'         : '"Google Chrome";v="117", "Not;A=Brand";v="8", "Chromium";v="117"',
-        'sec-ch-ua-mobile'  : '?0',
-        'sec-ch-ua-platform': '"macOS"',
-        'sec-fetch-dest'    : 'empty',
-        'sec-fetch-mode'    : 'cors',
-        'sec-fetch-site'    : 'same-origin',
-        'user-agent'        : 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.%s.%s Safari/537.36' % (
-            random.randint(99, 999), 
-            random.randint(99, 999)
-        )
-    }
-    
-    # Does not work with async requests
-    response = requests.get('https://sdk.vercel.ai/openai.jpeg', 
-                            headers=headers, proxies={"https": proxy}).text
-
-    raw_data = json.loads(base64.b64decode(response, 
-                                    validate=True))
-
-    js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `<font>${this}</font>`};
-        return (%s)(%s)''' % (raw_data['c'], raw_data['a'])
-
-    raw_token = json.dumps({'r': execjs.compile(js_script).call(''), 't': raw_data['t']}, 
-                        separators = (",", ":"))
-
-    return base64.b64encode(raw_token.encode('utf-16le')).decode()
-
-class ModelInfo(TypedDict):
-    id: str
-    default_params: dict[str, Any]
-
-model_info: dict[str, ModelInfo] = {
-    'claude-instant-v1': {
-        'id': 'anthropic:claude-instant-v1',
-        'default_params': {
-            'temperature': 1,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': ['\n\nHuman:'],
-        },
-    },
-    'claude-v1': {
-        'id': 'anthropic:claude-v1',
-        'default_params': {
-            'temperature': 1,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': ['\n\nHuman:'],
-        },
-    },
-    'claude-v2': {
-        'id': 'anthropic:claude-v2',
-        'default_params': {
-            'temperature': 1,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': ['\n\nHuman:'],
-        },
-    },
-    'a16z-infra/llama7b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama7b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'a16z-infra/llama13b-v2-chat': {
-        'id': 'replicate:a16z-infra/llama13b-v2-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'replicate/llama-2-70b-chat': {
-        'id': 'replicate:replicate/llama-2-70b-chat',
-        'default_params': {
-            'temperature': 0.75,
-            'maximumLength': 3000,
-            'topP': 1,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigscience/bloom': {
-        'id': 'huggingface:bigscience/bloom',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'google/flan-t5-xxl': {
-        'id': 'huggingface:google/flan-t5-xxl',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'EleutherAI/gpt-neox-20b': {
-        'id': 'huggingface:EleutherAI/gpt-neox-20b',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-            'stopSequences': [],
-        },
-    },
-    'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'OpenAssistant/oasst-sft-1-pythia-12b': {
-        'id': 'huggingface:OpenAssistant/oasst-sft-1-pythia-12b',
-        'default_params': {
-            'maximumLength': 1024,
-            'typicalP': 0.2,
-            'repetitionPenalty': 1,
-        },
-    },
-    'bigcode/santacoder': {
-        'id': 'huggingface:bigcode/santacoder',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 0.95,
-            'topK': 4,
-            'repetitionPenalty': 1.03,
-        },
-    },
-    'command-light-nightly': {
-        'id': 'cohere:command-light-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'command-nightly': {
-        'id': 'cohere:command-nightly',
-        'default_params': {
-            'temperature': 0.9,
-            'maximumLength': 1024,
-            'topP': 1,
-            'topK': 0,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'gpt-4': {
-        'id': 'openai:gpt-4',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 8192,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'gpt-4-0613': {
-        'id': 'openai:gpt-4-0613',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 8192,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'code-davinci-002': {
-        'id': 'openai:code-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo': {
-        'id': 'openai:gpt-3.5-turbo',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 4096,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k': {
-        'id': 'openai:gpt-3.5-turbo-16k',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'gpt-3.5-turbo-16k-0613': {
-        'id': 'openai:gpt-3.5-turbo-16k-0613',
-        'default_params': {
-            'temperature': 0.7,
-            'maximumLength': 16280,
-            'topP': 1,
-            'topK': 1,
-            'presencePenalty': 1,
-            'frequencyPenalty': 1,
-            'stopSequences': [],
-        },
-    },
-    'text-ada-001': {
-        'id': 'openai:text-ada-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-babbage-001': {
-        'id': 'openai:text-babbage-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-curie-001': {
-        'id': 'openai:text-curie-001',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-002': {
-        'id': 'openai:text-davinci-002',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 1024,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-    'text-davinci-003': {
-        'id': 'openai:text-davinci-003',
-        'default_params': {
-            'temperature': 0.5,
-            'maximumLength': 4097,
-            'topP': 1,
-            'presencePenalty': 0,
-            'frequencyPenalty': 0,
-            'stopSequences': [],
-        },
-    },
-}