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-rw-r--r--g4f/Provider/Vercel.py387
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': [],
- },
- },
-}
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-02 00:08:35 +0100