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)}"