From af9fc199386f17dad6ed619ef995ad516a41b114 Mon Sep 17 00:00:00 2001 From: abc <98614666+xtekky@users.noreply.github.com> Date: Sat, 23 Sep 2023 10:58:13 +0100 Subject: ~ --- g4f/Provider/Vercel.py | 369 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 369 insertions(+) create mode 100644 g4f/Provider/Vercel.py (limited to 'g4f') 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 `${this}`}; + 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 -- cgit v1.2.3