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# api/providers.py
from __future__ import annotations
import json
import uuid
from aiohttp import ClientSession, ClientTimeout, ClientResponseError
from typing import AsyncGenerator, List, Dict, Any
from api.logger import setup_logger
logger = setup_logger(__name__)
class AmigoChat:
url = "https://amigochat.io"
chat_api_endpoint = "https://api.amigochat.io/v1/chat/completions"
image_api_endpoint = "https://api.amigochat.io/v1/images/generations"
default_model = 'gpt-4o-mini'
chat_models = [
'gpt-4o',
default_model,
'o1-preview',
'o1-mini',
'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
'claude-3-sonnet-20240229',
'gemini-1.5-pro',
]
image_models = [
'flux-pro/v1.1',
'flux-realism',
'flux-pro',
'dalle-e-3',
]
models = chat_models + image_models
model_aliases = {
"o1": "o1-preview",
"llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
"llama-3.2-90b": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
"claude-3.5-sonnet": "claude-3-sonnet-20240229",
"gemini-pro": "gemini-1.5-pro",
"flux-pro": "flux-pro/v1.1",
"dalle-3": "dalle-e-3",
}
persona_ids = {
'gpt-4o': "gpt",
'gpt-4o-mini': "amigo",
'o1-preview': "openai-o-one",
'o1-mini': "openai-o-one-mini",
'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo': "llama-three-point-one",
'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo': "llama-3-2",
'claude-3-sonnet-20240229': "claude",
'gemini-1.5-pro': "gemini-1-5-pro",
'flux-pro/v1.1': "flux-1-1-pro",
'flux-realism': "flux-realism",
'flux-pro': "flux-pro",
'dalle-e-3': "dalle-three",
}
@classmethod
def get_model(cls, model: str) -> str:
return cls.model_aliases.get(model, model if model in cls.models else cls.default_model)
@classmethod
def get_persona_id(cls, model: str) -> str:
return cls.persona_ids.get(model, "amigo")
@classmethod
async def generate_response(
cls,
model: str,
messages: List[Dict[str, Any]],
stream: bool = False,
proxy: str = None,
) -> AsyncGenerator[str, None]:
model = cls.get_model(model)
device_uuid = str(uuid.uuid4())
headers = {
"accept": "*/*",
"accept-language": "en-US,en;q=0.9",
"authorization": "Bearer",
"cache-control": "no-cache",
"content-type": "application/json",
"origin": cls.url,
"pragma": "no-cache",
"priority": "u=1, i",
"referer": f"{cls.url}/",
"sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
"x-device-language": "en-US",
"x-device-platform": "web",
"x-device-uuid": device_uuid,
"x-device-version": "1.0.32"
}
async with ClientSession(headers=headers) as session:
if model in cls.chat_models:
# Chat completion
data = {
"messages": messages,
"model": model,
"personaId": cls.get_persona_id(model),
"frequency_penalty": 0,
"max_tokens": 4000,
"presence_penalty": 0,
"stream": stream,
"temperature": 0.5,
"top_p": 0.95
}
timeout = ClientTimeout(total=300)
try:
async with session.post(cls.chat_api_endpoint, json=data, proxy=proxy, timeout=timeout) as response:
if response.status not in (200, 201):
error_text = await response.text()
raise Exception(f"Error {response.status}: {error_text}")
if stream:
async for line in response.content:
line = line.decode('utf-8').strip()
if line.startswith('data: '):
if line == 'data: [DONE]':
break
try:
chunk = json.loads(line[6:])
if 'choices' in chunk and len(chunk['choices']) > 0:
choice = chunk['choices'][0]
if 'delta' in choice:
content = choice['delta'].get('content')
elif 'text' in choice:
content = choice['text']
else:
content = None
if content:
yield content
except json.JSONDecodeError:
pass
else:
response_data = await response.json()
if 'choices' in response_data and len(response_data['choices']) > 0:
content = response_data['choices'][0]['message']['content']
yield content
except Exception as e:
logger.error(f"Error during request: {e}")
raise
else:
# Image generation
prompt = messages[-1]['content']
data = {
"prompt": prompt,
"model": model,
"personaId": cls.get_persona_id(model)
}
try:
async with session.post(cls.image_api_endpoint, json=data, proxy=proxy) as response:
response.raise_for_status()
response_data = await response.json()
if "data" in response_data:
image_urls = [item["url"] for item in response_data["data"] if "url" in item]
if image_urls:
yield json.dumps({"images": image_urls, "prompt": prompt})
except Exception as e:
logger.error(f"Error during image generation: {e}")
raise
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