mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-11-26 09:57:24 +03:00
Add Groq and Openai interfaces, Add integration tests
This commit is contained in:
parent
1e2cf48cba
commit
d44b39b31c
@ -5,5 +5,6 @@ from .main import *
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from .model import *
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from .model import *
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from .client import *
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from .client import *
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from .include import *
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from .include import *
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from .integration import *
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unittest.main()
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unittest.main()
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25
etc/unittest/integration.py
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25
etc/unittest/integration.py
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@ -0,0 +1,25 @@
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import unittest
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import json
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from g4f.client import Client, ChatCompletion
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from g4f.Provider import Bing, OpenaiChat
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DEFAULT_MESSAGES = [{"role": "system", "content": 'Response in json, Example: {"success: True"}'},
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{"role": "user", "content": "Say success true in json"}]
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class TestProviderIntegration(unittest.TestCase):
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def test_bing(self):
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client = Client(provider=Bing)
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response = client.chat.completions.create(DEFAULT_MESSAGES, "", response_format={"type": "json_object"})
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self.assertIsInstance(response, ChatCompletion)
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self.assertIn("success", json.loads(response.choices[0].message.content))
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def test_openai(self):
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client = Client(provider=OpenaiChat)
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response = client.chat.completions.create(DEFAULT_MESSAGES, "", response_format={"type": "json_object"})
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self.assertIsInstance(response, ChatCompletion)
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self.assertIn("success", json.loads(response.choices[0].message.content))
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if __name__ == '__main__':
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unittest.main()
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@ -1,2 +1,3 @@
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from ..providers.base_provider import *
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from ..providers.base_provider import *
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from ..providers.types import FinishReason
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from .helper import get_cookies, format_prompt
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from .helper import get_cookies, format_prompt
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23
g4f/Provider/needs_auth/Groq.py
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23
g4f/Provider/needs_auth/Groq.py
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@ -0,0 +1,23 @@
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from __future__ import annotations
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from .Openai import Openai
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from ...typing import AsyncResult, Messages
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class Groq(Openai):
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url = "https://console.groq.com/playground"
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working = True
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default_model = "mixtral-8x7b-32768"
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models = ["mixtral-8x7b-32768", "llama2-70b-4096", "gemma-7b-it"]
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model_aliases = {"mixtral-8x7b": "mixtral-8x7b-32768", "llama2-70b": "llama2-70b-4096"}
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@classmethod
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def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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api_base: str = "https://api.groq.com/openai/v1",
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**kwargs
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) -> AsyncResult:
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return super().create_async_generator(
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model, messages, api_base=api_base, **kwargs
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)
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74
g4f/Provider/needs_auth/Openai.py
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74
g4f/Provider/needs_auth/Openai.py
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@ -0,0 +1,74 @@
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from __future__ import annotations
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import json
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from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin, FinishReason
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from ...typing import AsyncResult, Messages
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from ...requests.raise_for_status import raise_for_status
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from ...requests import StreamSession
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from ...errors import MissingAuthError
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class Openai(AsyncGeneratorProvider, ProviderModelMixin):
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url = "https://openai.com"
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working = True
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needs_auth = True
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supports_message_history = True
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supports_system_message = True
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@classmethod
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async def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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proxy: str = None,
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timeout: int = 120,
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api_key: str = None,
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api_base: str = "https://api.openai.com/v1",
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temperature: float = None,
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max_tokens: int = None,
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top_p: float = None,
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stop: str = None,
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stream: bool = False,
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**kwargs
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) -> AsyncResult:
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if api_key is None:
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raise MissingAuthError('Add a "api_key"')
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async with StreamSession(
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proxies={"all": proxy},
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headers=cls.get_headers(api_key),
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timeout=timeout
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) as session:
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data = {
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"messages": messages,
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"model": cls.get_model(model),
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"temperature": temperature,
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"max_tokens": max_tokens,
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"top_p": top_p,
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"stop": stop,
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"stream": stream,
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}
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async with session.post(f"{api_base.rstrip('/')}/chat/completions", json=data) as response:
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await raise_for_status(response)
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async for line in response.iter_lines():
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if line.startswith(b"data: ") or not stream:
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async for chunk in cls.read_line(line[6:] if stream else line, stream):
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yield chunk
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@staticmethod
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async def read_line(line: str, stream: bool):
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if line == b"[DONE]":
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return
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choice = json.loads(line)["choices"][0]
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if stream and "content" in choice["delta"] and choice["delta"]["content"]:
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yield choice["delta"]["content"]
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elif not stream and "content" in choice["message"]:
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yield choice["message"]["content"]
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if "finish_reason" in choice and choice["finish_reason"] is not None:
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yield FinishReason(choice["finish_reason"])
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@staticmethod
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def get_headers(api_key: str) -> dict:
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return {
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"Authorization": f"Bearer {api_key}",
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"Content-Type": "application/json",
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}
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@ -4,4 +4,6 @@ from .Theb import Theb
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from .ThebApi import ThebApi
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from .ThebApi import ThebApi
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from .OpenaiChat import OpenaiChat
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from .OpenaiChat import OpenaiChat
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from .OpenAssistant import OpenAssistant
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from .OpenAssistant import OpenAssistant
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from .Poe import Poe
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from .Poe import Poe
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from .Openai import Openai
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from .Groq import Groq
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@ -8,7 +8,7 @@ import string
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from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
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from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
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from .typing import Union, Iterator, Messages, ImageType
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from .typing import Union, Iterator, Messages, ImageType
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from .providers.types import BaseProvider, ProviderType
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from .providers.types import BaseProvider, ProviderType, FinishReason
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from .image import ImageResponse as ImageProviderResponse
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from .image import ImageResponse as ImageProviderResponse
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from .errors import NoImageResponseError, RateLimitError, MissingAuthError
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from .errors import NoImageResponseError, RateLimitError, MissingAuthError
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from . import get_model_and_provider, get_last_provider
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from . import get_model_and_provider, get_last_provider
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@ -47,6 +47,9 @@ def iter_response(
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finish_reason = None
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finish_reason = None
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completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
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completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
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for idx, chunk in enumerate(response):
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for idx, chunk in enumerate(response):
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if isinstance(chunk, FinishReason):
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finish_reason = chunk.reason
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break
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content += str(chunk)
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content += str(chunk)
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if max_tokens is not None and idx + 1 >= max_tokens:
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if max_tokens is not None and idx + 1 >= max_tokens:
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finish_reason = "length"
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finish_reason = "length"
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@ -6,9 +6,10 @@ from asyncio import AbstractEventLoop
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from concurrent.futures import ThreadPoolExecutor
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from concurrent.futures import ThreadPoolExecutor
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from abc import abstractmethod
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from abc import abstractmethod
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from inspect import signature, Parameter
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from inspect import signature, Parameter
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from ..typing import CreateResult, AsyncResult, Messages, Union
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from typing import Callable, Union
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from .types import BaseProvider
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from ..typing import CreateResult, AsyncResult, Messages
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from ..errors import NestAsyncioError, ModelNotSupportedError
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from .types import BaseProvider, FinishReason
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from ..errors import NestAsyncioError, ModelNotSupportedError, MissingRequirementsError
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from .. import debug
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from .. import debug
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if sys.version_info < (3, 10):
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if sys.version_info < (3, 10):
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@ -21,17 +22,23 @@ if sys.platform == 'win32':
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if isinstance(asyncio.get_event_loop_policy(), asyncio.WindowsProactorEventLoopPolicy):
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if isinstance(asyncio.get_event_loop_policy(), asyncio.WindowsProactorEventLoopPolicy):
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asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
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asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
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def get_running_loop() -> Union[AbstractEventLoop, None]:
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def get_running_loop(check_nested: bool) -> Union[AbstractEventLoop, None]:
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try:
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try:
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loop = asyncio.get_running_loop()
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loop = asyncio.get_running_loop()
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if not hasattr(loop.__class__, "_nest_patched"):
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if check_nested and not hasattr(loop.__class__, "_nest_patched"):
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raise NestAsyncioError(
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try:
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'Use "create_async" instead of "create" function in a running event loop. Or use "nest_asyncio" package.'
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import nest_asyncio
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)
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nest_asyncio.apply(loop)
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except ImportError:
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raise MissingRequirementsError('Install "nest_asyncio" package')
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return loop
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return loop
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except RuntimeError:
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except RuntimeError:
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pass
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pass
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# Fix for RuntimeError: async generator ignored GeneratorExit
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async def await_callback(callback: Callable):
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return await callback()
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class AbstractProvider(BaseProvider):
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class AbstractProvider(BaseProvider):
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"""
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"""
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Abstract class for providing asynchronous functionality to derived classes.
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Abstract class for providing asynchronous functionality to derived classes.
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Returns:
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Returns:
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CreateResult: The result of the completion creation.
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CreateResult: The result of the completion creation.
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"""
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"""
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get_running_loop()
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get_running_loop(check_nested=True)
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yield asyncio.run(cls.create_async(model, messages, **kwargs))
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yield asyncio.run(cls.create_async(model, messages, **kwargs))
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@staticmethod
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@staticmethod
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@ -158,7 +165,6 @@ class AsyncProvider(AbstractProvider):
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"""
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"""
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raise NotImplementedError()
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raise NotImplementedError()
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class AsyncGeneratorProvider(AsyncProvider):
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class AsyncGeneratorProvider(AsyncProvider):
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"""
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"""
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Provides asynchronous generator functionality for streaming results.
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Provides asynchronous generator functionality for streaming results.
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Returns:
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Returns:
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CreateResult: The result of the streaming completion creation.
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CreateResult: The result of the streaming completion creation.
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"""
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"""
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loop = get_running_loop()
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loop = get_running_loop(check_nested=True)
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new_loop = False
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new_loop = False
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if not loop:
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if loop is None:
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loop = asyncio.new_event_loop()
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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asyncio.set_event_loop(loop)
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new_loop = True
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new_loop = True
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@ -197,16 +203,11 @@ class AsyncGeneratorProvider(AsyncProvider):
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generator = cls.create_async_generator(model, messages, stream=stream, **kwargs)
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generator = cls.create_async_generator(model, messages, stream=stream, **kwargs)
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gen = generator.__aiter__()
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gen = generator.__aiter__()
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# Fix for RuntimeError: async generator ignored GeneratorExit
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async def await_callback(callback):
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return await callback()
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try:
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try:
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while True:
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while True:
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yield loop.run_until_complete(await_callback(gen.__anext__))
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yield loop.run_until_complete(await_callback(gen.__anext__))
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except StopAsyncIteration:
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except StopAsyncIteration:
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...
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...
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# Fix for: ResourceWarning: unclosed event loop
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finally:
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finally:
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if new_loop:
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if new_loop:
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loop.close()
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loop.close()
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@ -233,7 +234,7 @@ class AsyncGeneratorProvider(AsyncProvider):
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"""
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"""
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return "".join([
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return "".join([
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chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)
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chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs)
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if not isinstance(chunk, Exception)
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if not isinstance(chunk, (Exception, FinishReason))
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])
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])
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@staticmethod
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@staticmethod
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@ -97,4 +97,8 @@ class BaseRetryProvider(BaseProvider):
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__name__: str = "RetryProvider"
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__name__: str = "RetryProvider"
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supports_stream: bool = True
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supports_stream: bool = True
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ProviderType = Union[Type[BaseProvider], BaseRetryProvider]
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ProviderType = Union[Type[BaseProvider], BaseRetryProvider]
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class FinishReason():
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def __init__(self, reason: str):
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self.reason = reason
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@ -15,11 +15,19 @@ class StreamResponse(ClientResponse):
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async for chunk in self.content.iter_any():
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async for chunk in self.content.iter_any():
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yield chunk
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yield chunk
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async def json(self) -> Any:
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async def json(self, content_type: str = None) -> Any:
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return await super().json(content_type=None)
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return await super().json(content_type=content_type)
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class StreamSession(ClientSession):
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class StreamSession(ClientSession):
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def __init__(self, headers: dict = {}, timeout: int = None, proxies: dict = {}, impersonate = None, **kwargs):
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def __init__(
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self,
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headers: dict = {},
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timeout: int = None,
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connector: BaseConnector = None,
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proxies: dict = {},
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impersonate = None,
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**kwargs
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):
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if impersonate:
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if impersonate:
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headers = {
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headers = {
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**DEFAULT_HEADERS,
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**DEFAULT_HEADERS,
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**kwargs,
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**kwargs,
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timeout=ClientTimeout(timeout) if timeout else None,
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timeout=ClientTimeout(timeout) if timeout else None,
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response_class=StreamResponse,
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response_class=StreamResponse,
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connector=get_connector(kwargs.get("connector"), proxies.get("https")),
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connector=get_connector(connector, proxies.get("all", proxies.get("https"))),
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headers=headers
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headers=headers
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)
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)
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