from __future__ import annotations
from aiohttp import ClientSession, ClientResponseError
from urllib.parse import urlencode
import json
import io
import asyncio
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ..image import ImageResponse, is_accepted_format
from .helper import format_prompt
class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://api.airforce"
text_api_endpoint = "https://api.airforce/chat/completions"
image_api_endpoint = "https://api.airforce/v1/imagine2"
working = True
supports_gpt_35_turbo = True
supports_gpt_4 = True
supports_stream = True
supports_system_message = True
supports_message_history = True
default_model = 'llama-3-70b-chat'
text_models = [
# Open source models
'llama-2-13b-chat',
'llama-3-70b-chat',
'llama-3-70b-chat-turbo',
'llama-3-70b-chat-lite',
'llama-3-8b-chat',
'llama-3-8b-chat-turbo',
'llama-3-8b-chat-lite',
'llama-3.1-405b-turbo',
'llama-3.1-70b-turbo',
'llama-3.1-8b-turbo',
'LlamaGuard-2-8b',
'Llama-Guard-7b',
'Meta-Llama-Guard-3-8B',
'Mixtral-8x7B-Instruct-v0.1',
'Mixtral-8x22B-Instruct-v0.1',
'Mistral-7B-Instruct-v0.1',
'Mistral-7B-Instruct-v0.2',
'Mistral-7B-Instruct-v0.3',
'Qwen1.5-72B-Chat',
'Qwen1.5-110B-Chat',
'Qwen2-72B-Instruct',
'gemma-2b-it',
'gemma-2-9b-it',
'gemma-2-27b-it',
'dbrx-instruct',
'deepseek-llm-67b-chat',
'Nous-Hermes-2-Mixtral-8x7B-DPO',
'Nous-Hermes-2-Yi-34B',
'WizardLM-2-8x22B',
'SOLAR-10.7B-Instruct-v1.0',
'StripedHyena-Nous-7B',
'sparkdesk',
# Other models
'chatgpt-4o-latest',
'gpt-4',
'gpt-4-turbo',
'gpt-4o-mini-2024-07-18',
'gpt-4o-mini',
'gpt-4o',
'gpt-3.5-turbo',
'gpt-3.5-turbo-0125',
'gpt-3.5-turbo-1106',
'gpt-3.5-turbo-16k',
'gpt-3.5-turbo-0613',
'gpt-3.5-turbo-16k-0613',
'gemini-1.5-flash',
'gemini-1.5-pro',
]
image_models = [
'flux',
'flux-realism',
'flux-anime',
'flux-3d',
'flux-disney',
'flux-pixel',
'any-dark',
]
models = [
*text_models,
*image_models
]
model_aliases = {
# Open source models
"llama-2-13b": "llama-2-13b-chat",
"llama-3-70b": "llama-3-70b-chat",
"llama-3-70b": "llama-3-70b-chat-turbo",
"llama-3-70b": "llama-3-70b-chat-lite",
"llama-3-8b": "llama-3-8b-chat",
"llama-3-8b": "llama-3-8b-chat-turbo",
"llama-3-8b": "llama-3-8b-chat-lite",
"llama-3.1-405b": "llama-3.1-405b-turbo",
"llama-3.1-70b": "llama-3.1-70b-turbo",
"llama-3.1-8b": "llama-3.1-8b-turbo",
"mixtral-8x7b": "Mixtral-8x7B-Instruct-v0.1",
"mixtral-8x22b": "Mixtral-8x22B-Instruct-v0.1",
"mistral-7b": "Mistral-7B-Instruct-v0.1",
"mistral-7b": "Mistral-7B-Instruct-v0.2",
"mistral-7b": "Mistral-7B-Instruct-v0.3",
"mixtral-8x7b-dpo": "Nous-Hermes-2-Mixtral-8x7B-DPO",
"qwen-1-5-72b": "Qwen1.5-72B-Chat",
"qwen-1_5-110b": "Qwen1.5-110B-Chat",
"qwen-2-72b": "Qwen2-72B-Instruct",
"gemma-2b": "gemma-2b-it",
"gemma-2b-9b": "gemma-2-9b-it",
"gemma-2b-27b": "gemma-2-27b-it",
"deepseek": "deepseek-llm-67b-chat",
"yi-34b": "Nous-Hermes-2-Yi-34B",
"wizardlm-2-8x22b": "WizardLM-2-8x22B",
"solar-10-7b": "SOLAR-10.7B-Instruct-v1.0",
"sh-n-7b": "StripedHyena-Nous-7B",
"sparkdesk-v1.1": "sparkdesk",
# Other models
"gpt-4o": "chatgpt-4o-latest",
"gpt-4o-mini": "gpt-4o-mini-2024-07-18",
"gpt-3.5-turbo": "gpt-3.5-turbo-0125",
"gpt-3.5-turbo": "gpt-3.5-turbo-1106",
"gpt-3.5-turbo": "gpt-3.5-turbo-16k",
"gpt-3.5-turbo": "gpt-3.5-turbo-0613",
"gpt-3.5-turbo": "gpt-3.5-turbo-16k-0613",
"gemini-flash": "gemini-1.5-flash",
"gemini-pro": "gemini-1.5-pro",
}
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"content-type": "application/json",
"origin": "https://api.airforce",
"sec-ch-ua": '"Chromium";v="128", "Not(A:Brand";v="24"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "cross-site",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36"
}
if model in cls.image_models:
async for item in cls.generate_image(model, messages, headers, proxy, **kwargs):
yield item
else:
async for item in cls.generate_text(model, messages, headers, proxy, **kwargs):
yield item
@classmethod
async def generate_text(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult:
async with ClientSession(headers=headers) as session:
data = {
"messages": [{"role": "user", "content": format_prompt(messages)}],
"model": model,
"temperature": kwargs.get('temperature', 1),
"top_p": kwargs.get('top_p', 1),
"stream": True
}
async with session.post(cls.text_api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
async for line in response.content:
if line:
line = line.decode('utf-8').strip()
if line.startswith("data: "):
try:
data = json.loads(line[6:])
if 'choices' in data and len(data['choices']) > 0:
delta = data['choices'][0].get('delta', {})
if 'content' in delta:
yield delta['content']
except json.JSONDecodeError:
continue
elif line == "data: [DONE]":
break
@classmethod
async def generate_image(cls, model: str, messages: Messages, headers: dict, proxy: str, **kwargs) -> AsyncResult:
prompt = messages[-1]['content'] if messages else ""
params = {
"prompt": prompt,
"size": kwargs.get("size", "1:1"),
"seed": kwargs.get("seed"),
"model": model
}
params = {k: v for k, v in params.items() if v is not None}
try:
async with ClientSession(headers=headers) as session:
async with session.get(cls.image_api_endpoint, params=params, proxy=proxy) as response:
response.raise_for_status()
content = await response.read()
if response.content_type.startswith('image/'):
image_url = str(response.url)
yield ImageResponse(image_url, prompt)
else:
try:
text = content.decode('utf-8', errors='ignore')
yield f"Error: {text}"
except Exception as decode_error:
yield f"Error: Unable to decode response - {str(decode_error)}"
except ClientResponseError as e:
yield f"Error: HTTP {e.status}: {e.message}"
except Exception as e:
yield f"Unexpected error: {str(e)}"
