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# api/utils.py
from datetime import datetime
import json
from typing import AsyncGenerator, Union
import aiohttp
from fastapi import HTTPException
from api.config import GIZAI_API_ENDPOINT, GIZAI_BASE_URL
from api.models import ChatRequest, ImageResponseModel, ChatCompletionResponse
from api.logger import setup_logger
logger = setup_logger(__name__)
class GizAI:
# Chat models
default_model = 'chat-gemini-flash'
chat_models = [
default_model,
'chat-gemini-pro',
'chat-gpt4m',
'chat-gpt4',
'claude-sonnet',
'claude-haiku',
'llama-3-70b',
'llama-3-8b',
'mistral-large',
'chat-o1-mini'
]
# Image models
image_models = [
'flux1',
'sdxl',
'sd',
'sd35',
]
models = [*chat_models, *image_models]
model_aliases = {
# Chat model aliases
"gemini-flash": "chat-gemini-flash",
"gemini-pro": "chat-gemini-pro",
"gpt-4o-mini": "chat-gpt4m",
"gpt-4o": "chat-gpt4",
"claude-3.5-sonnet": "claude-sonnet",
"claude-3-haiku": "claude-haiku",
"llama-3.1-70b": "llama-3-70b",
"llama-3.1-8b": "llama-3-8b",
"o1-mini": "chat-o1-mini",
# Image model aliases
"sd-1.5": "sd",
"sd-3.5": "sd35",
"flux-schnell": "flux1",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases[model]
else:
return cls.default_model
@classmethod
def is_image_model(cls, model: str) -> bool:
return model in cls.image_models
async def process_gizai_stream_response(request: ChatRequest, model: str) -> AsyncGenerator[str, None]:
async with aiohttp.ClientSession() as session:
# Set up headers
headers = {
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'en-US,en;q=0.9',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Content-Type': 'application/json',
'Origin': 'https://app.giz.ai',
'Pragma': 'no-cache',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Linux"'
}
if GizAI.is_image_model(model):
# Image generation logic (streaming might not make sense here)
raise HTTPException(status_code=400, detail="Image generation does not support streaming.")
else:
# Chat completion logic
messages_formatted = [
{
"type": "human",
"content": msg.content if isinstance(msg.content, str) else msg.content[0].get("text", "")
} for msg in request.messages
]
data = {
"model": model,
"input": {
"messages": messages_formatted,
"mode": "plan"
},
"noStream": False # Enable streaming
}
try:
async with session.post(
GIZAI_API_ENDPOINT,
headers=headers,
json=data
) as response:
response.raise_for_status()
async for line in response.content:
if line:
decoded_line = line.decode('utf-8').strip()
if decoded_line.startswith("data:"):
content = decoded_line.replace("data: ", "")
yield f"data: {content}\n\n"
# Indicate the end of the stream
yield "data: [DONE]\n\n"
except aiohttp.ClientResponseError as e:
logger.error(f"HTTP error occurred: {e.status} - {e.message}")
raise HTTPException(status_code=e.status, detail=str(e))
except Exception as e:
logger.error(f"Unexpected error: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
async def process_gizai_non_stream_response(request: ChatRequest, model: str) -> Union[ImageResponseModel, ChatCompletionResponse]:
async with aiohttp.ClientSession() as session:
# Set up headers
headers = {
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'en-US,en;q=0.9',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Content-Type': 'application/json',
'Origin': 'https://app.giz.ai',
'Pragma': 'no-cache',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36',
'sec-ch-ua': '"Not?A_Brand";v="99", "Chromium";v="130"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Linux"'
}
if GizAI.is_image_model(model):
# Image generation logic
prompt = request.messages[-1].content if isinstance(request.messages[-1].content, str) else request.messages[-1].content[0].get("text", "")
data = {
"model": model,
"input": {
"width": "1024",
"height": "1024",
"steps": 4,
"output_format": "webp",
"batch_size": 1,
"mode": "plan",
"prompt": prompt
}
}
try:
async with session.post(
GIZAI_API_ENDPOINT,
headers=headers,
json=data
) as response:
response.raise_for_status()
response_data = await response.json()
if response_data.get('status') == 'completed' and response_data.get('output'):
images = response_data['output']
return ImageResponseModel(images=images, alt="Generated Image")
else:
raise HTTPException(status_code=500, detail="Image generation failed.")
except aiohttp.ClientResponseError as e:
logger.error(f"HTTP error occurred: {e.status} - {e.message}")
raise HTTPException(status_code=e.status, detail=str(e))
except Exception as e:
logger.error(f"Unexpected error: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
else:
# Chat completion logic
messages_formatted = [
{
"type": "human",
"content": msg.content if isinstance(msg.content, str) else msg.content[0].get("text", "")
} for msg in request.messages
]
data = {
"model": model,
"input": {
"messages": messages_formatted,
"mode": "plan"
},
"noStream": True # Disable streaming
}
try:
async with session.post(
GIZAI_API_ENDPOINT,
headers=headers,
json=data
) as response:
response.raise_for_status()
result = await response.json()
return ChatCompletionResponse(
id=f"chatcmpl-{uuid.uuid4()}",
object="chat.completion",
created=int(datetime.now().timestamp()),
model=model,
choices=[
{
"index": 0,
"message": {"role": "assistant", "content": result.get('output', '')},
"finish_reason": "stop",
}
],
usage=None,
)
except aiohttp.ClientResponseError as e:
logger.error(f"HTTP error occurred: {e.status} - {e.message}")
raise HTTPException(status_code=e.status, detail=str(e))
except Exception as e:
logger.error(f"Unexpected error: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
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