mirror of
https://github.com/xtekky/gpt4free.git
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6cccd6d9ac
Add full nodriver support to OpenaiChat
463 lines
19 KiB
Python
463 lines
19 KiB
Python
from __future__ import annotations
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import os
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import time
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import random
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import string
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import asyncio
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import base64
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import aiohttp
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import logging
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from typing import Union, AsyncIterator, Iterator, Coroutine
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from ..providers.base_provider import AsyncGeneratorProvider
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from ..image import ImageResponse, to_image, to_data_uri, is_accepted_format, EXTENSIONS_MAP
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from ..typing import Messages, Cookies, Image
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from ..providers.types import ProviderType, FinishReason, BaseConversation
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from ..errors import NoImageResponseError
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from ..providers.retry_provider import IterListProvider
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from ..Provider.needs_auth.BingCreateImages import BingCreateImages
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from ..requests.aiohttp import get_connector
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from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
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from .image_models import ImageModels
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from .types import IterResponse, ImageProvider, Client as BaseClient
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from .service import get_model_and_provider, get_last_provider, convert_to_provider
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from .helper import find_stop, filter_json, filter_none, safe_aclose, to_sync_iter, to_async_iterator
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try:
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anext # Python 3.8+
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except NameError:
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async def anext(aiter):
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try:
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return await aiter.__anext__()
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except StopAsyncIteration:
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raise StopIteration
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# Synchronous iter_response function
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def iter_response(
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response: Union[Iterator[str], AsyncIterator[str]],
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stream: bool,
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response_format: dict = None,
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max_tokens: int = None,
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stop: list = None
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) -> Iterator[Union[ChatCompletion, ChatCompletionChunk]]:
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content = ""
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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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idx = 0
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if hasattr(response, '__aiter__'):
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# It's an async iterator, wrap it into a sync iterator
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response = to_sync_iter(response)
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for chunk in 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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elif isinstance(chunk, BaseConversation):
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yield chunk
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continue
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chunk = str(chunk)
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content += chunk
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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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first, content, chunk = find_stop(stop, content, chunk if stream else None)
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if first != -1:
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finish_reason = "stop"
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if stream:
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yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
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if finish_reason is not None:
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break
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idx += 1
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finish_reason = "stop" if finish_reason is None else finish_reason
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if stream:
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yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
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else:
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if response_format is not None and "type" in response_format:
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if response_format["type"] == "json_object":
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content = filter_json(content)
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yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
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# Synchronous iter_append_model_and_provider function
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def iter_append_model_and_provider(response: Iterator[ChatCompletionChunk]) -> Iterator[ChatCompletionChunk]:
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last_provider = None
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for chunk in response:
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last_provider = get_last_provider(True) if last_provider is None else last_provider
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chunk.model = last_provider.get("model")
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chunk.provider = last_provider.get("name")
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yield chunk
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async def async_iter_response(
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response: AsyncIterator[str],
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stream: bool,
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response_format: dict = None,
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max_tokens: int = None,
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stop: list = None
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) -> AsyncIterator[Union[ChatCompletion, ChatCompletionChunk]]:
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content = ""
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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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idx = 0
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try:
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async for chunk in 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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elif isinstance(chunk, BaseConversation):
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yield chunk
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continue
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chunk = str(chunk)
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content += chunk
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idx += 1
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if max_tokens is not None and idx >= max_tokens:
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finish_reason = "length"
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first, content, chunk = find_stop(stop, content, chunk if stream else None)
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if first != -1:
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finish_reason = "stop"
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if stream:
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yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
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if finish_reason is not None:
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break
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finish_reason = "stop" if finish_reason is None else finish_reason
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if stream:
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yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
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else:
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if response_format is not None and "type" in response_format:
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if response_format["type"] == "json_object":
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content = filter_json(content)
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yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
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finally:
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if hasattr(response, 'aclose'):
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await safe_aclose(response)
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async def async_iter_append_model_and_provider(response: AsyncIterator[ChatCompletionChunk]) -> AsyncIterator:
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last_provider = None
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try:
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async for chunk in response:
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last_provider = get_last_provider(True) if last_provider is None else last_provider
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chunk.model = last_provider.get("model")
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chunk.provider = last_provider.get("name")
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yield chunk
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finally:
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if hasattr(response, 'aclose'):
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await safe_aclose(response)
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class Client(BaseClient):
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def __init__(
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self,
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provider: ProviderType = None,
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image_provider: ImageProvider = None,
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**kwargs
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) -> None:
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super().__init__(**kwargs)
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self.chat: Chat = Chat(self, provider)
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self.images: Images = Images(self, image_provider)
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class Completions:
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def __init__(self, client: Client, provider: ProviderType = None):
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self.client: Client = client
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self.provider: ProviderType = provider
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def create(
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self,
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messages: Messages,
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model: str,
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provider: ProviderType = None,
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stream: bool = False,
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proxy: str = None,
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response_format: dict = None,
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max_tokens: int = None,
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stop: Union[list[str], str] = None,
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api_key: str = None,
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ignored: list[str] = None,
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ignore_working: bool = False,
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ignore_stream: bool = False,
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**kwargs
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) -> IterResponse:
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model, provider = get_model_and_provider(
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model,
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self.provider if provider is None else provider,
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stream,
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ignored,
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ignore_working,
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ignore_stream,
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)
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stop = [stop] if isinstance(stop, str) else stop
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response = provider.create_completion(
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model,
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messages,
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stream=stream,
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**filter_none(
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proxy=self.client.proxy if proxy is None else proxy,
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max_tokens=max_tokens,
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stop=stop,
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api_key=self.client.api_key if api_key is None else api_key
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),
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**kwargs
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)
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if asyncio.iscoroutinefunction(provider.create_completion):
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# Run the asynchronous function in an event loop
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response = asyncio.run(response)
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if stream and hasattr(response, '__aiter__'):
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# It's an async generator, wrap it into a sync iterator
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response = to_sync_iter(response)
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elif hasattr(response, '__aiter__'):
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# If response is an async generator, collect it into a list
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response = list(to_sync_iter(response))
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response = iter_response(response, stream, response_format, max_tokens, stop)
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response = iter_append_model_and_provider(response)
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if stream:
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return response
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else:
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return next(response)
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class Chat:
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completions: Completions
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def __init__(self, client: Client, provider: ProviderType = None):
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self.completions = Completions(client, provider)
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class Images:
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def __init__(self, client: Client, provider: ProviderType = None):
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self.client: Client = client
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self.provider: ProviderType = provider
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self.models: ImageModels = ImageModels(client)
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def generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
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"""
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Synchronous generate method that runs the async_generate method in an event loop.
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"""
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return asyncio.run(self.async_generate(prompt, model, provider, response_format=response_format, proxy=proxy, **kwargs))
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async def async_generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
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if provider is None:
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provider_handler = self.models.get(model, provider or self.provider or BingCreateImages)
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elif isinstance(provider, str):
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provider_handler = convert_to_provider(provider)
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if provider_handler is None:
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raise ValueError(f"Unknown model: {model}")
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if proxy is None:
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proxy = self.client.proxy
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if isinstance(provider_handler, IterListProvider):
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if provider_handler.providers:
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provider_handler = provider_handler.providers[0]
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else:
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raise ValueError(f"IterListProvider for model {model} has no providers")
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response = None
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if hasattr(provider_handler, "create_async_generator"):
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messages = [{"role": "user", "content": prompt}]
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async for item in provider_handler.create_async_generator(model, messages, **kwargs):
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if isinstance(item, ImageResponse):
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response = item
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break
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elif hasattr(provider, 'create'):
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if asyncio.iscoroutinefunction(provider_handler.create):
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response = await provider_handler.create(prompt)
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else:
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response = provider_handler.create(prompt)
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if isinstance(response, str):
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response = ImageResponse([response], prompt)
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else:
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raise ValueError(f"Provider {provider} does not support image generation")
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if isinstance(response, ImageResponse):
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return await self._process_image_response(response, response_format, proxy, model=model, provider=provider)
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raise NoImageResponseError(f"Unexpected response type: {type(response)}")
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async def _process_image_response(self, response: ImageResponse, response_format: str, proxy: str = None, model: str = None, provider: str = None) -> ImagesResponse:
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async def process_image_item(session: aiohttp.ClientSession, image_data: str):
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image_data_bytes = None
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if image_data.startswith("http://") or image_data.startswith("https://"):
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if response_format == "url":
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return Image(url=image_data, revised_prompt=response.alt)
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elif response_format == "b64_json":
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# Fetch the image data and convert it to base64
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image_data_bytes = await self._fetch_image(session, image_data)
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b64_json = base64.b64encode(image_data_bytes).decode("utf-8")
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return Image(b64_json=b64_json, url=image_data, revised_prompt=response.alt)
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else:
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# Assume image_data is base64 data or binary
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if response_format == "url":
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if image_data.startswith("data:image"):
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# Remove the data URL scheme and get the base64 data
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base64_data = image_data.split(",", 1)[-1]
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else:
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base64_data = image_data
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# Decode the base64 data
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image_data_bytes = base64.b64decode(base64_data)
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if image_data_bytes:
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file_name = self._save_image(image_data_bytes)
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return Image(url=file_name, revised_prompt=response.alt)
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else:
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raise ValueError("Unable to process image data")
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last_provider = get_last_provider(True)
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async with aiohttp.ClientSession(cookies=response.get("cookies"), connector=get_connector(proxy=proxy)) as session:
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return ImagesResponse(
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await asyncio.gather(*[process_image_item(session, image_data) for image_data in response.get_list()]),
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model=last_provider.get("model") if model is None else model,
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provider=last_provider.get("name") if provider is None else provider
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)
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async def _fetch_image(self, session: aiohttp.ClientSession, url: str) -> bytes:
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# Asynchronously fetch image data from the URL
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async with session.get(url) as resp:
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if resp.status == 200:
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return await resp.read()
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else:
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raise RuntimeError(f"Failed to fetch image from {url}, status code {resp.status}")
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def _save_image(self, image_data_bytes: bytes) -> str:
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os.makedirs('generated_images', exist_ok=True)
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image = to_image(image_data_bytes)
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file_name = f"generated_images/image_{int(time.time())}_{random.randint(0, 10000)}.{EXTENSIONS_MAP[is_accepted_format(image_data_bytes)]}"
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image.save(file_name)
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return file_name
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def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
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return asyncio.run(self.async_create_variation(
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image, model, provider, response_format, **kwargs
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))
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async def async_create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", proxy: str = None, **kwargs) -> ImagesResponse:
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if provider is None:
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provider = self.models.get(model, provider or self.provider or BingCreateImages)
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if provider is None:
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raise ValueError(f"Unknown model: {model}")
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if isinstance(provider, str):
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provider = convert_to_provider(provider)
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if proxy is None:
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proxy = self.client.proxy
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if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
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messages = [{"role": "user", "content": "create a variation of this image"}]
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image_data = to_data_uri(image)
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generator = None
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try:
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generator = provider.create_async_generator(model, messages, image=image_data, response_format=response_format, proxy=proxy, **kwargs)
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async for response in generator:
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if isinstance(response, ImageResponse):
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return self._process_image_response(response)
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except RuntimeError as e:
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if "async generator ignored GeneratorExit" in str(e):
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logging.warning("Generator ignored GeneratorExit in create_variation, handling gracefully")
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else:
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raise
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finally:
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if generator and hasattr(generator, 'aclose'):
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await safe_aclose(generator)
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logging.info("AsyncGeneratorProvider processing completed in create_variation")
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elif hasattr(provider, 'create_variation'):
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if asyncio.iscoroutinefunction(provider.create_variation):
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response = await provider.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
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else:
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response = provider.create_variation(image, model=model, response_format=response_format, proxy=proxy, **kwargs)
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if isinstance(response, str):
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response = ImageResponse([response])
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return self._process_image_response(response)
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else:
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raise ValueError(f"Provider {provider} does not support image variation")
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class AsyncClient(BaseClient):
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def __init__(
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self,
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provider: ProviderType = None,
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image_provider: ImageProvider = None,
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**kwargs
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) -> None:
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super().__init__(**kwargs)
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self.chat: AsyncChat = AsyncChat(self, provider)
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self.images: AsyncImages = AsyncImages(self, image_provider)
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class AsyncChat:
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completions: AsyncCompletions
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def __init__(self, client: AsyncClient, provider: ProviderType = None):
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self.completions = AsyncCompletions(client, provider)
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class AsyncCompletions:
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def __init__(self, client: AsyncClient, provider: ProviderType = None):
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self.client: AsyncClient = client
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self.provider: ProviderType = provider
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def create(
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self,
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messages: Messages,
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model: str,
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provider: ProviderType = None,
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stream: bool = False,
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proxy: str = None,
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response_format: dict = None,
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max_tokens: int = None,
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stop: Union[list[str], str] = None,
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api_key: str = None,
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ignored: list[str] = None,
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ignore_working: bool = False,
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ignore_stream: bool = False,
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**kwargs
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) -> Union[Coroutine[ChatCompletion], AsyncIterator[ChatCompletionChunk]]:
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model, provider = get_model_and_provider(
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model,
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self.provider if provider is None else provider,
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stream,
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ignored,
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ignore_working,
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ignore_stream,
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)
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stop = [stop] if isinstance(stop, str) else stop
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response = provider.create_completion(
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model,
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messages,
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stream=stream,
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**filter_none(
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proxy=self.client.proxy if proxy is None else proxy,
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max_tokens=max_tokens,
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stop=stop,
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api_key=self.client.api_key if api_key is None else api_key
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),
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**kwargs
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)
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if not isinstance(response, AsyncIterator):
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response = to_async_iterator(response)
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response = async_iter_response(response, stream, response_format, max_tokens, stop)
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response = async_iter_append_model_and_provider(response)
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return response if stream else anext(response)
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class AsyncImages(Images):
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def __init__(self, client: AsyncClient, provider: ImageProvider = None):
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self.client: AsyncClient = client
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self.provider: ImageProvider = provider
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self.models: ImageModels = ImageModels(client)
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async def generate(self, prompt: str, model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
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return await self.async_generate(prompt, model, provider, response_format, **kwargs)
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async def create_variation(self, image: Union[str, bytes], model: str = None, provider: ProviderType = None, response_format: str = "url", **kwargs) -> ImagesResponse:
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return await self.async_create_variation(
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image, model, provider, response_format, **kwargs
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)
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