1 files changed, 239 insertions, 0 deletions

diff --git a/g4f/client/async.py b/g4f/client/async.py
new file mode 100644
index 00000000..7c421ee7
--- /dev/null
+++ b/g4f/client/async.py
@@ -0,0 +1,239 @@
+from __future__ import annotations
+
+import re
+import os
+import time
+import random
+import string
+
+from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
+from .typing import Union, Iterator, Messages, ImageType
+from .providers.types import BaseProvider, ProviderType, FinishReason
+from .image import ImageResponse as ImageProviderResponse
+from .errors import NoImageResponseError, RateLimitError, MissingAuthError
+from . import get_model_and_provider, get_last_provider
+
+from .Provider.BingCreateImages import BingCreateImages
+from .Provider.needs_auth import Gemini, OpenaiChat
+from .Provider.You import You
+
+def read_json(text: str) -> dict:
+    """
+    Parses JSON code block from a string.
+
+    Args:
+        text (str): A string containing a JSON code block.
+
+    Returns:
+        dict: A dictionary parsed from the JSON code block.
+    """
+    match = re.search(r"```(json|)\n(?P<code>[\S\s]+?)\n```", text)
+    if match:
+        return match.group("code")
+    return text
+
+def iter_response(
+    response: iter[str],
+    stream: bool,
+    response_format: dict = None,
+    max_tokens: int = None,
+    stop: list = None
+) -> IterResponse:
+    content = ""
+    finish_reason = None
+    completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
+    for idx, chunk in enumerate(response):
+        if isinstance(chunk, FinishReason):
+            finish_reason = chunk.reason
+            break
+        content += str(chunk)
+        if max_tokens is not None and idx + 1 >= max_tokens:
+            finish_reason = "length"
+        first = -1
+        word = None
+        if stop is not None:
+            for word in list(stop):
+                first = content.find(word)
+                if first != -1:
+                    content = content[:first]
+                    break
+            if stream and first != -1:
+                first = chunk.find(word)
+                if first != -1:
+                    chunk = chunk[:first]
+                else:
+                    first = 0
+        if first != -1:
+            finish_reason = "stop"
+        if stream:
+            yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
+        if finish_reason is not None:
+            break
+    finish_reason = "stop" if finish_reason is None else finish_reason
+    if stream:
+        yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
+    else:
+        if response_format is not None and "type" in response_format:
+            if response_format["type"] == "json_object":
+                content = read_json(content)
+        yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))
+
+def iter_append_model_and_provider(response: IterResponse) -> IterResponse:
+    last_provider = None
+    for chunk in response:
+        last_provider = get_last_provider(True) if last_provider is None else last_provider
+        chunk.model = last_provider.get("model")
+        chunk.provider =  last_provider.get("name")
+        yield chunk
+
+class Client():
+
+    def __init__(
+        self,
+        api_key: str = None,
+        proxies: Proxies = None,
+        provider: ProviderType = None,
+        image_provider: ImageProvider = None,
+        **kwargs
+    ) -> None:
+        self.api_key: str = api_key
+        self.proxies: Proxies = proxies
+        self.chat: Chat = Chat(self, provider)
+        self.images: Images = Images(self, image_provider)
+
+    def get_proxy(self) -> Union[str, None]:
+        if isinstance(self.proxies, str):
+            return self.proxies
+        elif self.proxies is None:
+            return os.environ.get("G4F_PROXY")
+        elif "all" in self.proxies:
+            return self.proxies["all"]
+        elif "https" in self.proxies:
+            return self.proxies["https"]
+
+def filter_none(**kwargs):
+    for key in list(kwargs.keys()):
+        if kwargs[key] is None:
+            del kwargs[key]
+    return kwargs
+
+class Completions():
+    def __init__(self, client: Client, provider: ProviderType = None):
+        self.client: Client = client
+        self.provider: ProviderType = provider
+
+    def create(
+        self,
+        messages: Messages,
+        model: str,
+        provider: ProviderType = None,
+        stream: bool = False,
+        response_format: dict = None,
+        max_tokens: int = None,
+        stop: Union[list[str], str] = None,
+        api_key: str = None,
+        ignored  : list[str] = None,
+        ignore_working: bool = False,
+        ignore_stream: bool = False,
+        **kwargs
+    ) -> Union[ChatCompletion, Iterator[ChatCompletionChunk]]:
+        model, provider = get_model_and_provider(
+            model,
+            self.provider if provider is None else provider,
+            stream,
+            ignored,
+            ignore_working,
+            ignore_stream,
+            **kwargs
+        )
+        stop = [stop] if isinstance(stop, str) else stop
+        response = provider.create_completion(
+            model, messages, stream,            
+            **filter_none(
+                proxy=self.client.get_proxy(),
+                max_tokens=max_tokens,
+                stop=stop,
+                api_key=self.client.api_key if api_key is None else api_key
+            ),
+            **kwargs
+        )
+        response = iter_response(response, stream, response_format, max_tokens, stop)
+        response = iter_append_model_and_provider(response)
+        return response if stream else next(response)
+
+class Chat():
+    completions: Completions
+
+    def __init__(self, client: Client, provider: ProviderType = None):
+        self.completions = Completions(client, provider)
+
+class ImageModels():
+    gemini = Gemini
+    openai = OpenaiChat
+    you = You
+
+    def __init__(self, client: Client) -> None:
+        self.client = client
+        self.default = BingCreateImages(proxy=self.client.get_proxy())
+
+    def get(self, name: str, default: ImageProvider = None) -> ImageProvider:
+        return getattr(self, name) if hasattr(self, name) else default or self.default
+
+def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]:
+    for chunk in list(response):
+        if isinstance(chunk, ImageProviderResponse):
+            return ImagesResponse([Image(image) for image in chunk.get_list()])
+
+def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator:
+    prompt = f"create a image with: {prompt}"
+    return provider.create_completion(
+        model,
+        [{"role": "user", "content": prompt}],
+        True,
+        proxy=client.get_proxy(),
+        **kwargs
+    )
+
+class Images():
+    def __init__(self, client: Client, provider: ImageProvider = None):
+        self.client: Client = client
+        self.provider: ImageProvider = provider
+        self.models: ImageModels = ImageModels(client)
+
+    def generate(self, prompt, model: str = None, **kwargs) -> ImagesResponse:
+        provider = self.models.get(model, self.provider)
+        if isinstance(provider, type) and issubclass(provider, BaseProvider):
+            response = create_image(self.client, provider, prompt, **kwargs)
+        else:
+            try:
+                response = list(provider.create(prompt))
+            except (RateLimitError, MissingAuthError) as e:
+                # Fallback for default provider
+                if self.provider is None:
+                    response = create_image(self.client, self.models.you, prompt, model or "dall-e", **kwargs)
+                else:
+                    raise e
+        image = iter_image_response(response)
+        if image is None:
+            raise NoImageResponseError()
+        return image
+
+    def create_variation(self, image: ImageType, model: str = None, **kwargs):
+        provider = self.models.get(model, self.provider)
+        result = None
+        if isinstance(provider, type) and issubclass(provider, BaseProvider):
+            response = provider.create_completion(
+                "",
+                [{"role": "user", "content": "create a image like this"}],
+                True,
+                image=image,
+                proxy=self.client.get_proxy(),
+                **kwargs
+            )
+            for chunk in response:
+                if isinstance(chunk, ImageProviderResponse):
+                    result = ([chunk.images] if isinstance(chunk.images, str) else chunk.images)
+                    result = ImagesResponse([Image(image)for image in result])
+        if result is None:
+            raise NoImageResponseError()
+        return result
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