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from __future__ import annotations
import requests
from ..helper import filter_none, format_media_prompt
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
from ...typing import Union, AsyncResult, Messages, MediaListType
from ...requests import StreamSession, StreamResponse, raise_for_status, sse_stream
from ...image import use_aspect_ratio
from ...image.copy_images import save_response_media
from ...providers.response import FinishReason, ToolCalls, Usage, ImageResponse, ProviderInfo, AudioResponse, Reasoning, JsonConversation
from ...tools.media import render_messages
from ...tools.run_tools import AuthManager
from ...errors import MissingAuthError
from ... import debug
class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin):
api_base = ""
api_key = None
api_endpoint = None
supports_message_history = True
supports_system_message = True
default_model = ""
fallback_models = []
sort_models = True
models_needs_auth = False
use_model_names = False
ssl = None
add_user = True
use_image_size = False
max_tokens: int = None
@classmethod
def get_models(cls, api_key: str = None, api_base: str = None) -> list[str]:
if not cls.models:
try:
headers = {}
if api_base is None:
api_base = cls.api_base
if api_key is None and cls.api_key is not None:
api_key = cls.api_key
if not api_key:
api_key = AuthManager.load_api_key(cls)
if cls.models_needs_auth and not api_key:
raise MissingAuthError('Add a "api_key"')
if api_key is not None:
headers["authorization"] = f"Bearer {api_key}"
response = requests.get(f"{api_base}/models", headers=headers, verify=cls.ssl)
raise_for_status(response)
data = response.json()
data = data.get("data") if isinstance(data, dict) else data
if (not cls.needs_auth or cls.models_needs_auth or api_key) and data:
cls.live += 1
cls.image_models = [model.get("name") if cls.use_model_names else model.get("id", model.get("name")) for model in data if model.get("image") or model.get("type") == "image" or model.get("supports_images")]
cls.vision_models = cls.vision_models.copy()
cls.vision_models += [model.get("name") if cls.use_model_names else model.get("id", model.get("name")) for model in data if model.get("vision")]
cls.models = [model.get("name") if cls.use_model_names else model.get("id", model.get("name")) for model in data]
cls.models_count = {model.get("name") if cls.use_model_names else model.get("id", model.get("name")): len(model.get("providers", [])) for model in data if len(model.get("providers", [])) > 1}
if cls.sort_models:
cls.models.sort()
except MissingAuthError:
raise
except Exception as e:
if cls.fallback_models:
debug.error(e)
return cls.fallback_models
raise e
return cls.models
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
timeout: int = 120,
conversation: JsonConversation = None,
media: MediaListType = None,
api_key: str = None,
api_endpoint: str = None,
api_base: str = None,
temperature: float = None,
max_tokens: int = None,
top_p: float = None,
stop: Union[str, list[str]] = None,
stream: bool = None,
prompt: str = None,
user: str = None,
headers: dict = None,
impersonate: str = None,
download_media: bool = True,
extra_parameters: list[str] = ["tools", "parallel_tool_calls", "tool_choice", "reasoning_effort", "logit_bias", "modalities", "audio", "stream_options"],
extra_body: dict = None,
**kwargs
) -> AsyncResult:
if api_key is None and cls.api_key is not None:
api_key = cls.api_key
if cls.needs_auth and api_key is None:
raise MissingAuthError('Add a "api_key"')
async with StreamSession(
proxy=proxy,
headers=cls.get_headers(stream, api_key, headers),
timeout=timeout,
impersonate=impersonate,
) as session:
model = cls.get_model(model, api_key=api_key, api_base=api_base)
if api_base is None:
api_base = cls.api_base
# Proxy for image generation feature
if model and model in cls.image_models:
prompt = format_media_prompt(messages, prompt)
size = use_aspect_ratio({"width": kwargs.get("width"), "height": kwargs.get("height")}, kwargs.get("aspect_ratio", None))
size = {"size": f"{size['width']}x{size['height']}", **size} if cls.use_image_size and "width" in size and "height" in size else size
data = {"prompt": prompt, "model": model, **size}
# Handle media if provided
if media is not None:
data["image_url"] = next(iter([data for data, _ in media if data and isinstance(data, str) and data.startswith("http://") or data.startswith("https://")]), None)
async with session.post(f"{api_base.rstrip('/')}/images/generations", json=data, ssl=cls.ssl) as response:
data = await response.json()
cls.raise_error(data, response.status)
model = data.get("model")
if model:
yield ProviderInfo(**cls.get_dict(), model=model)
await raise_for_status(response)
yield ImageResponse([image["url"] for image in data["data"]], prompt)
return
extra_parameters = {key: kwargs[key] for key in extra_parameters if key in kwargs}
if extra_body is None:
extra_body = {}
data = filter_none(
messages=list(render_messages(messages, media)),
model=model,
temperature=temperature,
max_tokens=max_tokens if max_tokens is not None else cls.max_tokens,
top_p=top_p,
stop=stop,
stream="audio" not in extra_parameters if stream is None else stream,
user=user if cls.add_user else None,
conversation=conversation.get_dict() if conversation else None,
**extra_parameters,
**extra_body
)
if api_endpoint is None:
if api_base:
api_endpoint = f"{api_base.rstrip('/')}/chat/completions"
if api_endpoint is None:
api_endpoint = cls.api_endpoint
async with session.post(api_endpoint, json=data, ssl=cls.ssl) as response:
async for chunk in read_response(response, stream, prompt, cls.get_dict(), download_media):
yield chunk
@classmethod
def get_headers(cls, stream: bool, api_key: str = None, headers: dict = None) -> dict:
return {
"Accept": "text/event-stream" if stream else "application/json",
"Content-Type": "application/json",
**(
{"Authorization": f"Bearer {api_key}"}
if api_key else {}
),
**({} if headers is None else headers)
}
async def read_response(response: StreamResponse, stream: bool, prompt: str, provider_info: dict, download_media: bool) -> AsyncResult:
content_type = response.headers.get("content-type", "text/event-stream" if stream else "application/json")
if content_type.startswith("application/json"):
data = await response.json()
OpenaiTemplate.raise_error(data, response.status)
await raise_for_status(response)
model = data.get("model")
if model:
yield ProviderInfo(**provider_info, model=model)
if "usage" in data:
yield Usage(**data["usage"])
if "conversation" in data:
yield JsonConversation.from_dict(data["conversation"])
if "choices" in data:
choice = next(iter(data["choices"]), None)
message = choice.get("message", {})
if choice and "content" in message and message["content"]:
yield message["content"].strip()
if "tool_calls" in message:
yield ToolCalls(message["tool_calls"])
if choice:
reasoning_content = choice.get("delta", {}).get("reasoning_content", choice.get("delta", {}).get("reasoning"))
if reasoning_content:
yield Reasoning(reasoning_content, status="")
audio = message.get("audio", {})
if "data" in audio:
if download_media:
async for chunk in save_response_media(audio, prompt, [model]):
yield chunk
else:
yield AudioResponse(f"data:audio/mpeg;base64,{audio['data']}", transcript=audio.get("transcript"))
if choice and "finish_reason" in choice and choice["finish_reason"] is not None:
yield FinishReason(choice["finish_reason"])
return
elif content_type.startswith("text/event-stream"):
await raise_for_status(response)
reasoning = False
first = True
model_returned = False
async for data in sse_stream(response):
OpenaiTemplate.raise_error(data)
model = data.get("model")
if not model_returned and model:
yield ProviderInfo(**provider_info, model=model)
model_returned = True
choice = next(iter(data["choices"]), None)
if choice:
content = choice.get("delta", {}).get("content")
if content:
if first:
content = content.lstrip()
if content:
first = False
if reasoning:
yield Reasoning(status="")
reasoning = False
yield content
tool_calls = choice.get("delta", {}).get("tool_calls")
if tool_calls:
yield ToolCalls(tool_calls)
reasoning_content = choice.get("delta", {}).get("reasoning_content", choice.get("delta", {}).get("reasoning"))
if reasoning_content:
reasoning = True
yield Reasoning(reasoning_content)
if "usage" in data and data["usage"]:
yield Usage(**data["usage"])
if "conversation" in data and data["conversation"]:
yield JsonConversation.from_dict(data["conversation"])
if choice and choice.get("finish_reason") is not None:
yield FinishReason(choice["finish_reason"])
else:
await raise_for_status(response)
async for chunk in save_response_media(response, prompt, [model]):
yield chunk |