1 files changed, 369 insertions, 0 deletions

diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
new file mode 100644
index 00000000..df6a5df6
--- /dev/null
+++ b/g4f/Provider/Vercel.py
@@ -0,0 +1,369 @@
+from __future__ import annotations
+
+import json, base64, requests, execjs, random, uuid
+
+from ..typing       import Any, TypedDict, CreateResult
+from .base_provider import BaseProvider
+from abc            import abstractmethod
+
+
+class Vercel(BaseProvider):
+    url = 'https://sdk.vercel.ai'
+    working               = True
+    supports_gpt_35_turbo = True
+    supports_stream       = True
+
+    @staticmethod
+    @abstractmethod
+    def create_completion(
+        model: str,
+        messages: list[dict[str, str]],
+        stream: bool, **kwargs ) -> CreateResult:
+
+        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'   : AntiBotToken(),
+            '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)
+            )
+        }
+
+        json_data = {
+            'model'       : model_info[model]['id'],
+            'messages'    : messages,
+            'playgroundId': str(uuid.uuid4()),
+            'chatIndex'   : 0} | model_info[model]['default_params']
+
+
+        server_error = True
+        while server_error:
+            response = requests.post('https://sdk.vercel.ai/api/generate', 
+                                    headers=headers, json=json_data, stream=True)
+
+            for token in response.iter_content(chunk_size=2046):
+                if token != b'Internal Server Error':
+                    server_error = False
+                    yield (token.decode())
+
+def AntiBotToken() -> 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)
+        )
+    }
+
+    response = requests.get('https://sdk.vercel.ai/openai.jpeg', 
+                            headers=headers).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': [],
+        },
+    },
+}
\ No newline at end of file