From 06c448daab736979fe6d942ef41e1eb0a9fef81e Mon Sep 17 00:00:00 2001 From: abc <98614666+xtekky@users.noreply.github.com> Date: Thu, 7 Mar 2024 12:31:30 +0000 Subject: ~ | fixed Vercel Provider --- g4f/Provider/Vercel.py | 339 +++----------------------------- g4f/Provider/deprecated/Vercel.py | 392 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 416 insertions(+), 315 deletions(-) create mode 100644 g4f/Provider/deprecated/Vercel.py (limited to 'g4f') diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py index 8d2137bf..e10aa232 100644 --- a/g4f/Provider/Vercel.py +++ b/g4f/Provider/Vercel.py @@ -1,6 +1,6 @@ from __future__ import annotations -import json, base64, requests, random, uuid +import json, base64, requests, random, os try: import execjs @@ -13,12 +13,13 @@ from .base_provider import AbstractProvider from ..errors import MissingRequirementsError class Vercel(AbstractProvider): - url = 'https://sdk.vercel.ai' - working = False + url = 'https://chat.vercel.ai' + working = True supports_message_history = True - supports_gpt_35_turbo = True - supports_stream = True - + supports_gpt_35_turbo = True + supports_stream = True + supports_gpt_4 = False + @staticmethod def create_completion( model: str, @@ -29,43 +30,34 @@ class Vercel(AbstractProvider): ) -> CreateResult: if not has_requirements: raise MissingRequirementsError('Install "PyExecJS" package') - - if not model: - model = "gpt-3.5-turbo" - elif model not in model_info: - raise ValueError(f"Vercel does not support {model}") - + headers = { - 'authority': 'sdk.vercel.ai', + 'authority': 'chat.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': get_anti_bot_token(), - 'origin': 'https://sdk.vercel.ai', + 'origin': 'https://chat.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"', + 'referer': 'https://chat.vercel.ai/', + 'sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"', '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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36', + 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36', } json_data = { - 'model' : model_info[model]['id'], - 'messages' : messages, - 'playgroundId': str(uuid.uuid4()), - 'chatIndex' : 0, - **model_info[model]['default_params'], - **kwargs + 'messages': messages, + 'id' : f'{os.urandom(3).hex()}a', } - - max_retries = kwargs.get('max_retries', 20) + + max_retries = kwargs.get('max_retries', 6) for _ in range(max_retries): - response = requests.post('https://sdk.vercel.ai/api/generate', + response = requests.post('https://chat.vercel.ai/api/chat', headers=headers, json=json_data, stream=True, proxies={"https": proxy}) try: response.raise_for_status() @@ -74,8 +66,7 @@ class Vercel(AbstractProvider): for token in response.iter_content(chunk_size=None): yield token.decode() break - - + def get_anti_bot_token() -> str: headers = { 'authority': 'sdk.vercel.ai', @@ -93,7 +84,7 @@ def get_anti_bot_token() -> str: 'user-agent': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36', } - response = requests.get('https://sdk.vercel.ai/openai.jpeg', + response = requests.get('https://chat.vercel.ai/openai.jpeg', headers=headers).text raw_data = json.loads(base64.b64decode(response, @@ -101,292 +92,10 @@ def get_anti_bot_token() -> str: js_script = '''const globalThis={marker:"mark"};String.prototype.fontcolor=function(){return `${this}`}; return (%s)(%s)''' % (raw_data['c'], raw_data['a']) + + sec_list = [execjs.compile(js_script).call('')[0], [], "sentinel"] - raw_token = json.dumps({'r': execjs.compile(js_script).call(''), 't': raw_data['t']}, + raw_token = json.dumps({'r': sec_list, '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:'], - # }, - # }, - 'replicate/llama70b-v2-chat': { - 'id': 'replicate:replicate/llama-2-70b-chat', - 'default_params': { - 'temperature': 0.75, - 'maximumLength': 3000, - 'topP': 1, - 'repetitionPenalty': 1, - }, - }, - '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 + return base64.b64encode(raw_token.encode('utf-8')).decode() \ No newline at end of file diff --git a/g4f/Provider/deprecated/Vercel.py b/g4f/Provider/deprecated/Vercel.py new file mode 100644 index 00000000..adf7b208 --- /dev/null +++ b/g4f/Provider/deprecated/Vercel.py @@ -0,0 +1,392 @@ +from __future__ import annotations + +import json, base64, requests, random, uuid + +try: + import execjs + has_requirements = True +except ImportError: + has_requirements = False + +from ...typing import Messages, TypedDict, CreateResult, Any +from ..base_provider import AbstractProvider +from ...errors import MissingRequirementsError + +class Vercel(AbstractProvider): + url = 'https://sdk.vercel.ai' + working = False + supports_message_history = True + supports_gpt_35_turbo = True + supports_stream = True + + @staticmethod + def create_completion( + model: str, + messages: Messages, + stream: bool, + proxy: str = None, + **kwargs + ) -> CreateResult: + if not has_requirements: + raise MissingRequirementsError('Install "PyExecJS" package') + + if not model: + model = "gpt-3.5-turbo" + elif model not in model_info: + raise ValueError(f"Vercel does not support {model}") + + 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': get_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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36', + } + + json_data = { + 'model' : model_info[model]['id'], + 'messages' : messages, + 'playgroundId': str(uuid.uuid4()), + 'chatIndex' : 0, + **model_info[model]['default_params'], + **kwargs + } + + max_retries = kwargs.get('max_retries', 20) + for _ in range(max_retries): + response = requests.post('https://chat.vercel.ai/api/chat', + headers=headers, json=json_data, stream=True, proxies={"https": proxy}) + try: + response.raise_for_status() + except: + continue + for token in response.iter_content(chunk_size=None): + yield token.decode() + break + + +def get_anti_bot_token() -> 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': f'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.{random.randint(99, 999)}.{random.randint(99, 999)} Safari/537.36', + } + + 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:'], + # }, + # }, + 'replicate/llama70b-v2-chat': { + 'id': 'replicate:replicate/llama-2-70b-chat', + 'default_params': { + 'temperature': 0.75, + 'maximumLength': 3000, + 'topP': 1, + 'repetitionPenalty': 1, + }, + }, + '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