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-rw-r--r--g4f/Provider/Vercel.py369
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
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-10 18:07:07 +0100