Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,6 @@
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from fastapi import FastAPI, Request, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse
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from pydantic import BaseModel
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from typing import List, Optional, AsyncGenerator
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import json
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@@ -8,44 +8,34 @@ import time
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import uuid
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import logging
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import asyncio
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# استيراد g4f
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import g4f
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from g4f import ChatCompletion
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from g4f.Provider import (
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Bing,
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OpenaiChat,
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Gemini,
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You,
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AIChat
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)
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# =====================================================
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# LOGGING
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# =====================================================
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-
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# =====================================================
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# CONFIG
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# =====================================================
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API_KEY = "sk-your-secret-key" # غيّر هذا
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# =====================================================
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# FASTAPI
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# =====================================================
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app = FastAPI(
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title="
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version="
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)
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# =====================================================
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# CORS
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# =====================================================
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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@@ -57,7 +47,6 @@ app.add_middleware(
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# =====================================================
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# MODELS
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# =====================================================
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class Message(BaseModel):
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role: str
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content: str
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@@ -70,128 +59,113 @@ class ChatRequest(BaseModel):
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max_tokens: Optional[int] = 4096
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# =====================================================
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# AUTH
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# =====================================================
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def verify_api_key(req: Request):
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# للاختبار: السماح بدون مفتاح
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auth = req.headers.get("Authorization")
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return True
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token =
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if
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raise HTTPException(status_code=403, detail="Invalid API Key")
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return True
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# =====================================================
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#
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# =====================================================
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@app.get("/")
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async def
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"service": "Universal AI Gateway",
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"version": "5.3.0",
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"providers": ["Bing", "OpenaiChat", "Gemini", "You"]
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}
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# =====================================================
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# MODELS
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# =====================================================
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@app.get("/v1/models")
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async def get_models():
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# قائمة النماذج المدعومة فعلياً
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models_data = [
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{"id": "gpt-3.5-turbo", "object": "model", "owned_by": "g4f"},
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{"id": "gpt-4", "object": "model", "owned_by": "g4f"},
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{"id": "gpt-4o-mini", "object": "model", "owned_by": "g4f"},
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{"id": "
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]
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return {
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"object": "list",
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"data": models_data
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}
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# =====================================================
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# CHAT COMPLETIONS
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# =====================================================
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@app.post("/v1/chat/completions")
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async def chat_completions(
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req: Request,
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body: ChatRequest
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):
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# التحقق من المفتاح
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verify_api_key(req)
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messages = [
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{"role": m.role, "content": m.content}
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for m in body.messages
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]
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logger.info(f"Request: model={body.model}, stream={body.stream}")
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logger.info(f"Messages: {messages}")
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# =================================================
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# STREAMING
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# =================================================
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if body.stream:
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async def generate_stream() -> AsyncGenerator[str, None]:
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chunk_id = f"chatcmpl-{uuid.uuid4().hex[:8]}"
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try:
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# ا
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response = await
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)
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async for chunk in response:
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if chunk:
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payload = {
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"id": chunk_id,
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": body.model,
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"choices": [
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}
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]
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}
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yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
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# إ
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final_payload = {
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"id": chunk_id,
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": body.model,
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"choices": [
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{
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"index": 0,
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"delta": {},
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"finish_reason": "stop"
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}
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]
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}
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yield f"data: {json.dumps(final_payload)}\n\n"
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yield "data: [DONE]\n\n"
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except Exception as e:
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logger.error(f"Streaming error: {e}", exc_info=True)
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error_msg = {"error": {"message": str(e), "type": "stream_error"}}
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"Access-Control-Allow-Origin": "*"
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}
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)
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# =================================================
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# NORMAL RESPONSE
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# =================================================
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try:
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)
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return JSONResponse({
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"id": f"chatcmpl-{uuid.uuid4().hex[:8]}",
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"object": "chat.completion",
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"created": int(time.time()),
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"model": body.model,
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"choices": [
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"
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}
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],
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"usage": {
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"prompt_tokens": 0,
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"completion_tokens": 0,
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}
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})
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except Exception as e:
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logger.error(f"Chat error: {e}", exc_info=True)
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raise HTTPException(
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status_code=500,
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detail=f"Provider error: {str(e)}"
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)
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# =====================================================
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# RUN
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# =====================================================
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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app,
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host="0.0.0.0",
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port=7860,
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log_level="info"
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)
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from fastapi import FastAPI, Request, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
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from pydantic import BaseModel
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from typing import List, Optional, AsyncGenerator
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import json
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import uuid
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import logging
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import asyncio
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import os
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# استيراد g4f
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import g4f
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from g4f import ChatCompletion
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# =====================================================
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# LOGGING
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# =====================================================
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# =====================================================
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# CONFIG
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# =====================================================
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API_KEY = os.environ.get("API_KEY", "sk-your-secret-key") # يدعم متغيرات البيئة في HF
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# =====================================================
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# FASTAPI
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# =====================================================
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app = FastAPI(
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title="9Router AI Gateway",
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version="6.0.0"
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)
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# =====================================================
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# CORS
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# =====================================================
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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# =====================================================
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# MODELS
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# =====================================================
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class Message(BaseModel):
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role: str
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content: str
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max_tokens: Optional[int] = 4096
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# =====================================================
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# AUTH (متوافق مع الواجهة)
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# =====================================================
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def verify_api_key(req: Request):
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auth = req.headers.get("Authorization")
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cf_auth = req.headers.get("cf-aig-authorization") # دعم Cloudflare Tunnel من الواجهة
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# إذا لم يتم إرسال أي مفتاح، نسمح بالمرور (للاختبار المحلي)
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if not auth and not cf_auth:
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return True
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token = ""
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if auth and auth.startswith("Bearer "):
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token = auth.replace("Bearer ", "").strip()
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elif cf_auth and cf_auth.startswith("Bearer "):
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token = cf_auth.replace("Bearer ", "").strip()
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if token and token != API_KEY:
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raise HTTPException(status_code=403, detail="Invalid API Key")
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return True
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# =====================================================
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# SERVE UI (تقديم واجهة 9Router)
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# =====================================================
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@app.get("/")
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async def serve_ui():
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# هذا سيقوم بعرض ملف index.html تلقائياً عند فتح رابط الـ Space
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return FileResponse("index.html")
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# =====================================================
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# API MODELS
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# =====================================================
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@app.get("/v1/models")
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async def get_models():
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models_data = [
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{"id": "gpt-3.5-turbo", "object": "model", "owned_by": "g4f"},
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{"id": "gpt-4", "object": "model", "owned_by": "g4f"},
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{"id": "gpt-4o-mini", "object": "model", "owned_by": "g4f"},
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{"id": "gpt-4o", "object": "model", "owned_by": "g4f"},
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{"id": "claude-3-haiku", "object": "model", "owned_by": "g4f"},
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{"id": "gemini-pro", "object": "model", "owned_by": "g4f"},
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]
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return {"object": "list", "data": models_data}
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# =====================================================
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# CHAT COMPLETIONS
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# =====================================================
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@app.post("/v1/chat/completions")
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async def chat_completions(req: Request, body: ChatRequest):
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verify_api_key(req)
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messages = [{"role": m.role, "content": m.content} for m in body.messages]
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logger.info(f"Request: model={body.model}, stream={body.stream}")
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# =================================================
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# STREAMING
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# =================================================
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if body.stream:
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async def generate_stream() -> AsyncGenerator[str, None]:
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chunk_id = f"chatcmpl-{uuid.uuid4().hex[:8]}"
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try:
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# إضافة Timeout وإزالة المزود الثابت ليختار g4f الأفضل
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response = await asyncio.wait_for(
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ChatCompletion.create_async(
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model=body.model,
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messages=messages,
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stream=True,
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),
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timeout=60.0
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)
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async for chunk in response:
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if chunk:
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# إجبار التحويل إلى نص لمنع انهيار JSON
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content = str(chunk) if not isinstance(chunk, str) else chunk
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payload = {
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"id": chunk_id,
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": body.model,
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"choices": [{
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"index": 0,
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"delta": {"content": content},
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"finish_reason": None
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}]
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}
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yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
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# إشارة النهاية
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final_payload = {
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"id": chunk_id,
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": body.model,
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"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]
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}
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yield f"data: {json.dumps(final_payload)}\n\n"
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yield "data: [DONE]\n\n"
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except asyncio.TimeoutError:
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logger.error("Streaming timeout")
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error_msg = {"error": {"message": "Provider timeout", "type": "timeout"}}
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yield f"data: {json.dumps(error_msg)}\n\n"
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yield "data: [DONE]\n\n"
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except Exception as e:
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logger.error(f"Streaming error: {e}", exc_info=True)
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error_msg = {"error": {"message": str(e), "type": "stream_error"}}
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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}
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)
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# =================================================
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# NORMAL RESPONSE
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# =================================================
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try:
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response = await asyncio.wait_for(
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ChatCompletion.create_async(
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model=body.model,
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messages=messages,
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stream=False,
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),
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timeout=90.0
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)
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# إجبار التحول لنص
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response_text = str(response) if not isinstance(response, str) else response
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return JSONResponse({
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"id": f"chatcmpl-{uuid.uuid4().hex[:8]}",
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"object": "chat.completion",
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"created": int(time.time()),
|
| 204 |
"model": body.model,
|
| 205 |
+
"choices": [{
|
| 206 |
+
"index": 0,
|
| 207 |
+
"message": {
|
| 208 |
+
"role": "assistant",
|
| 209 |
+
"content": response_text
|
| 210 |
+
},
|
| 211 |
+
"finish_reason": "stop"
|
| 212 |
+
}],
|
|
|
|
|
|
|
| 213 |
"usage": {
|
| 214 |
"prompt_tokens": 0,
|
| 215 |
"completion_tokens": 0,
|
|
|
|
| 217 |
}
|
| 218 |
})
|
| 219 |
|
| 220 |
+
except asyncio.TimeoutError:
|
| 221 |
+
raise HTTPException(status_code=504, detail="Provider timed out")
|
| 222 |
except Exception as e:
|
| 223 |
logger.error(f"Chat error: {e}", exc_info=True)
|
| 224 |
+
raise HTTPException(status_code=500, detail=f"Provider error: {str(e)}")
|
|
|
|
|
|
|
|
|
|
| 225 |
|
| 226 |
# =====================================================
|
| 227 |
# RUN
|
| 228 |
# =====================================================
|
|
|
|
| 229 |
if __name__ == "__main__":
|
| 230 |
import uvicorn
|
| 231 |
uvicorn.run(
|
| 232 |
app,
|
| 233 |
host="0.0.0.0",
|
| 234 |
+
port=7860, # المنفذ المطلوب لـ Hugging Face
|
| 235 |
log_level="info"
|
| 236 |
+
)
|