1 files changed, 0 insertions, 353 deletions

diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
deleted file mode 100644
index 79bcf3f4..00000000
--- a/g4f/Provider/Vercel.py
+++ /dev/null
@@ -1,353 +0,0 @@
-from __future__ import annotations
-
-import base64, json, uuid, quickjs, random
-from curl_cffi.requests import AsyncSession
-
-from ..typing       import Any, TypedDict
-from .base_provider import AsyncProvider
-
-
-class Vercel(AsyncProvider):
-    url                   = "https://sdk.vercel.ai"
-    working               = True
-    supports_gpt_35_turbo = True
-    model                 = "replicate:replicate/llama-2-70b-chat"
-
-    @classmethod
-    async def create_async(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        **kwargs
-    ) -> str:
-        if model in ["gpt-3.5-turbo", "gpt-4"]:
-            model = "openai:" + model
-        model = model if model else cls.model
-        proxies = None
-        if proxy:
-            if "://" not in proxy:
-                proxy = "http://" + proxy
-            proxies = {"http": proxy, "https": proxy}
-        headers = {
-            "User-Agent": "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.{rand1}.{rand2} Safari/537.36".format(
-                rand1=random.randint(0,9999),
-                rand2=random.randint(0,9999)
-            ),
-            "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
-            "Accept-Encoding": "gzip, deflate, br",
-            "Accept-Language": "en-US,en;q=0.5",
-            "TE": "trailers",
-        }
-        async with AsyncSession(headers=headers, proxies=proxies, impersonate="chrome107") as session:
-            response = await session.get(cls.url + "/openai.jpeg")
-            response.raise_for_status()
-            custom_encoding = _get_custom_encoding(response.text)
-            headers = {
-                "Content-Type": "application/json",
-                "Custom-Encoding": custom_encoding,
-            }
-            data = _create_payload(model, messages)
-            response = await session.post(cls.url + "/api/generate", json=data, headers=headers)
-            response.raise_for_status()
-            return response.text
-
-
-def _create_payload(model: str, messages: list[dict[str, str]]) -> dict[str, Any]:
-    if model not in model_info:
-        raise ValueError(f'Model are not supported: {model}')
-    default_params = model_info[model]["default_params"]
-    return {
-        "messages": messages,
-        "playgroundId": str(uuid.uuid4()),
-        "chatIndex": 0,
-        "model": model
-    } | default_params
-
-# based on https://github.com/ading2210/vercel-llm-api
-def _get_custom_encoding(text: str) -> str:
-    data = json.loads(base64.b64decode(text, validate=True))
-    script = """
-      String.prototype.fontcolor = function() {{
-        return `<font>${{this}}</font>`
-      }}
-      var globalThis = {{marker: "mark"}};
-      ({script})({key})
-    """.format(
-        script=data["c"], key=data["a"]
-    )
-    context = quickjs.Context()  # type: ignore
-    token_data = json.loads(context.eval(script).json())  # type: ignore
-    token_data[2] = "mark"
-    token = {"r": token_data, "t": data["t"]}
-    token_str = json.dumps(token, separators=(",", ":")).encode("utf-16le")
-    return base64.b64encode(token_str).decode()
-
-
-class ModelInfo(TypedDict):
-    id: str
-    default_params: dict[str, Any]
-
-
-model_info: dict[str, ModelInfo] = {
-    "anthropic:claude-instant-v1": {
-        "id": "anthropic:claude-instant-v1",
-        "default_params": {
-            "temperature": 1,
-            "maxTokens": 200,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": ["\n\nHuman:"],
-        },
-    },
-    "anthropic:claude-v1": {
-        "id": "anthropic:claude-v1",
-        "default_params": {
-            "temperature": 1,
-            "maxTokens": 200,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": ["\n\nHuman:"],
-        },
-    },
-    "anthropic:claude-v2": {
-        "id": "anthropic:claude-v2",
-        "default_params": {
-            "temperature": 1,
-            "maxTokens": 200,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": ["\n\nHuman:"],
-        },
-    },
-    "replicate:a16z-infra/llama7b-v2-chat": {
-        "id": "replicate:a16z-infra/llama7b-v2-chat",
-        "default_params": {
-            "temperature": 0.75,
-            "maxTokens": 500,
-            "topP": 1,
-            "repetitionPenalty": 1,
-        },
-    },
-    "replicate:a16z-infra/llama13b-v2-chat": {
-        "id": "replicate:a16z-infra/llama13b-v2-chat",
-        "default_params": {
-            "temperature": 0.75,
-            "maxTokens": 500,
-            "topP": 1,
-            "repetitionPenalty": 1,
-        },
-    },
-    "replicate:replicate/llama-2-70b-chat": {
-        "id": "replicate:replicate/llama-2-70b-chat",
-        "default_params": {
-            "temperature": 0.75,
-            "maxTokens": 1000,
-            "topP": 1,
-            "repetitionPenalty": 1,
-        },
-    },
-    "huggingface:bigscience/bloom": {
-        "id": "huggingface:bigscience/bloom",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 0.95,
-            "topK": 4,
-            "repetitionPenalty": 1.03,
-        },
-    },
-    "huggingface:google/flan-t5-xxl": {
-        "id": "huggingface:google/flan-t5-xxl",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 0.95,
-            "topK": 4,
-            "repetitionPenalty": 1.03,
-        },
-    },
-    "huggingface:EleutherAI/gpt-neox-20b": {
-        "id": "huggingface:EleutherAI/gpt-neox-20b",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 0.95,
-            "topK": 4,
-            "repetitionPenalty": 1.03,
-            "stopSequences": [],
-        },
-    },
-    "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5": {
-        "id": "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
-        "default_params": {"maxTokens": 200, "typicalP": 0.2, "repetitionPenalty": 1},
-    },
-    "huggingface:OpenAssistant/oasst-sft-1-pythia-12b": {
-        "id": "huggingface:OpenAssistant/oasst-sft-1-pythia-12b",
-        "default_params": {"maxTokens": 200, "typicalP": 0.2, "repetitionPenalty": 1},
-    },
-    "huggingface:bigcode/santacoder": {
-        "id": "huggingface:bigcode/santacoder",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 0.95,
-            "topK": 4,
-            "repetitionPenalty": 1.03,
-        },
-    },
-    "cohere:command-light-nightly": {
-        "id": "cohere:command-light-nightly",
-        "default_params": {
-            "temperature": 0.9,
-            "maxTokens": 200,
-            "topP": 1,
-            "topK": 0,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "cohere:command-nightly": {
-        "id": "cohere:command-nightly",
-        "default_params": {
-            "temperature": 0.9,
-            "maxTokens": 200,
-            "topP": 1,
-            "topK": 0,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:gpt-4": {
-        "id": "openai:gpt-4",
-        "default_params": {
-            "temperature": 0.7,
-            "maxTokens": 500,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:gpt-4-0613": {
-        "id": "openai:gpt-4-0613",
-        "default_params": {
-            "temperature": 0.7,
-            "maxTokens": 500,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:code-davinci-002": {
-        "id": "openai:code-davinci-002",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:gpt-3.5-turbo": {
-        "id": "openai:gpt-3.5-turbo",
-        "default_params": {
-            "temperature": 0.7,
-            "maxTokens": 500,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": [],
-        },
-    },
-    "openai:gpt-3.5-turbo-16k": {
-        "id": "openai:gpt-3.5-turbo-16k",
-        "default_params": {
-            "temperature": 0.7,
-            "maxTokens": 500,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": [],
-        },
-    },
-    "openai:gpt-3.5-turbo-16k-0613": {
-        "id": "openai:gpt-3.5-turbo-16k-0613",
-        "default_params": {
-            "temperature": 0.7,
-            "maxTokens": 500,
-            "topP": 1,
-            "topK": 1,
-            "presencePenalty": 1,
-            "frequencyPenalty": 1,
-            "stopSequences": [],
-        },
-    },
-    "openai:text-ada-001": {
-        "id": "openai:text-ada-001",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:text-babbage-001": {
-        "id": "openai:text-babbage-001",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:text-curie-001": {
-        "id": "openai:text-curie-001",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:text-davinci-002": {
-        "id": "openai:text-davinci-002",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-    "openai:text-davinci-003": {
-        "id": "openai:text-davinci-003",
-        "default_params": {
-            "temperature": 0.5,
-            "maxTokens": 200,
-            "topP": 1,
-            "presencePenalty": 0,
-            "frequencyPenalty": 0,
-            "stopSequences": [],
-        },
-    },
-}