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import uuid
from datetime import datetime
import json
from typing import Any, Dict
import httpx
from fastapi import HTTPException
from api.models import ChatRequest
from api.logger import setup_logger
from api.config import MODEL_MAPPING, GIZAI_API_ENDPOINT, GIZAI_HEADERS
logger = setup_logger(__name__)
# List of models supported by GizAI
GIZAI_CHAT_MODELS = [
'chat-gemini-flash',
'chat-gemini-pro',
'chat-gpt4m',
'chat-gpt4',
'claude-sonnet',
'claude-haiku',
'llama-3-70b',
'llama-3-8b',
'mistral-large',
'chat-o1-mini'
]
GIZAI_IMAGE_MODELS = [
'flux1',
'sdxl',
'sd',
'sd35',
]
GIZAI_MODELS = GIZAI_CHAT_MODELS + GIZAI_IMAGE_MODELS
GIZAI_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",
}
def get_gizai_model(model: str) -> str:
model = MODEL_MAPPING.get(model, model)
if model in GIZAI_MODELS:
return model
elif model in GIZAI_MODEL_ALIASES:
return GIZAI_MODEL_ALIASES[model]
else:
# Default model
return 'chat-gemini-flash'
def is_image_model(model: str) -> bool:
return model in GIZAI_IMAGE_MODELS
async def process_streaming_response(request: ChatRequest):
# GizAI does not support streaming; handle as non-streaming
return await process_non_streaming_response(request)
async def process_non_streaming_response(request: ChatRequest):
model = get_gizai_model(request.model)
async with httpx.AsyncClient() as client:
if is_image_model(model):
# Image generation
prompt = request.messages[-1].content
data = {
"model": model,
"input": {
"width": "1024",
"height": "1024",
"steps": 4,
"output_format": "webp",
"batch_size": 1,
"mode": "plan",
"prompt": prompt
}
}
try:
response = await client.post(
GIZAI_API_ENDPOINT,
headers=GIZAI_HEADERS,
json=data,
timeout=100,
)
response.raise_for_status()
response_data = response.json()
if response_data.get('status') == 'completed' and response_data.get('output'):
images = response_data['output']
# Return image response (e.g., URLs)
return {
"id": f"imggen-{uuid.uuid4()}",
"object": "image_generation",
"created": int(datetime.now().timestamp()),
"model": request.model,
"data": images,
}
else:
raise HTTPException(status_code=500, detail="Image generation failed")
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error occurred: {e}")
raise HTTPException(status_code=e.response.status_code, detail=str(e))
except httpx.RequestError as e:
logger.error(f"Error occurred during request: {e}")
raise HTTPException(status_code=500, detail=str(e))
else:
# Chat completion
messages_content = "\n".join([f"{msg.role}: {msg.content}" for msg in request.messages])
data = {
"model": model,
"input": {
"messages": [
{
"type": "human",
"content": messages_content
}
],
"mode": "plan"
},
"noStream": True
}
try:
response = await client.post(
GIZAI_API_ENDPOINT,
headers=GIZAI_HEADERS,
json=data,
timeout=100,
)
response.raise_for_status()
response_data = response.json()
output = response_data.get('output', '')
return {
"id": f"chatcmpl-{uuid.uuid4()}",
"object": "chat.completion",
"created": int(datetime.now().timestamp()),
"model": request.model,
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": output},
"finish_reason": "stop",
}
],
"usage": None,
}
except httpx.HTTPStatusError as e:
logger.error(f"HTTP error occurred: {e}")
raise HTTPException(status_code=e.response.status_code, detail=str(e))
except httpx.RequestError as e:
logger.error(f"Error occurred during request: {e}")
raise HTTPException(status_code=500, detail=str(e))
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