Update app.py
Browse files
app.py
CHANGED
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@@ -1,22 +1,28 @@
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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
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import asyncio
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import json
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import time
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import uuid
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import logging
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import g4f
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from g4f.client import Client
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# =====================================================
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# LOGGING
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# =====================================================
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logging.basicConfig(
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logger = logging.getLogger(__name__)
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# =====================================================
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@@ -25,13 +31,128 @@ logger = logging.getLogger(__name__)
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API_KEY = "sk-your-secret-key"
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# =====================================================
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# FASTAPI
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# =====================================================
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app = FastAPI(
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title="Universal AI Gateway",
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)
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# =====================================================
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temperature: Optional[float] = 0.7
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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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auth = req.headers.get("Authorization")
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# السماح للاختبار
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if not auth:
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return True
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if not auth.startswith("Bearer "):
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raise HTTPException(
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status_code=401,
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detail="Invalid Authorization Format"
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)
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token = auth.replace("Bearer ", "").strip()
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if token != API_KEY:
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raise HTTPException(
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status_code=403,
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detail="Invalid API Key"
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)
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return True
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# =====================================================
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# ROOT
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# =====================================================
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@app.get("/")
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async def root():
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return {
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"status": "online",
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"service": "Universal AI Gateway",
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"version": "
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}
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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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"
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"gpt-4o",
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"gpt-4",
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"gpt-3.5-turbo",
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"claude-3-haiku",
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"llama-3.1-70b",
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"mixtral-8x7b",
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"deepseek-chat",
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"gemini-pro"
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]
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-
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-
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-
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"id": str(model),
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"object": "model",
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"created": int(time.time()),
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"owned_by": "g4f"
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})
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"object": "model",
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"created": int(time.time()),
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"owned_by": "g4f"
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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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req: Request,
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body: ChatRequest
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verify_api_key(req)
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messages = [
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{
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"role": m.role,
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"content": m.content
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}
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for m in body.messages
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]
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logger.info(
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f"Request model={body.model} stream={body.stream}"
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)
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# =================================================
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try:
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)
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for chunk in response:
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if (
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chunk.choices
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and chunk.choices[0].delta
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and chunk.choices[0].delta.content
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):
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if content:
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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":
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"choices": [
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{
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"index": 0,
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"delta": {
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"content": content
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},
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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)}\n\n"
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await asyncio.sleep(0)
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except Exception as chunk_error:
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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":
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"choices": [
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{
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"index": 0,
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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"
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error_payload = {
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"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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"X-Accel-Buffering": "no"
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}
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)
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@@ -291,26 +738,36 @@ async def chat_completions(
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try:
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response = await
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client.chat.completions.create,
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model=body.model,
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messages=messages
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)
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assistant_message = ""
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try:
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assistant_message = response.choices[0].message.content
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except:
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return JSONResponse({
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| 310 |
"id": f"chatcmpl-{uuid.uuid4().hex}",
|
| 311 |
"object": "chat.completion",
|
| 312 |
"created": int(time.time()),
|
| 313 |
-
"model":
|
| 314 |
"choices": [
|
| 315 |
{
|
| 316 |
"index": 0,
|
|
@@ -322,19 +779,26 @@ async def chat_completions(
|
|
| 322 |
}
|
| 323 |
],
|
| 324 |
"usage": {
|
| 325 |
-
"prompt_tokens":
|
| 326 |
-
"completion_tokens":
|
| 327 |
-
"total_tokens":
|
| 328 |
}
|
| 329 |
})
|
| 330 |
|
|
|
|
|
|
|
|
|
|
| 331 |
except Exception as e:
|
| 332 |
|
| 333 |
-
logger.error(f"Chat error: {e}")
|
| 334 |
|
| 335 |
raise HTTPException(
|
| 336 |
status_code=500,
|
| 337 |
-
detail=
|
|
|
|
|
|
|
|
|
|
|
|
|
| 338 |
)
|
| 339 |
|
| 340 |
# =====================================================
|
|
@@ -345,8 +809,13 @@ if __name__ == "__main__":
|
|
| 345 |
|
| 346 |
import uvicorn
|
| 347 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 348 |
uvicorn.run(
|
| 349 |
app,
|
| 350 |
host="0.0.0.0",
|
| 351 |
-
port=7860
|
| 352 |
-
|
|
|
|
|
|
| 1 |
+
|
| 2 |
from fastapi.middleware.cors import CORSMiddleware
|
| 3 |
from fastapi.responses import StreamingResponse, JSONResponse
|
| 4 |
from pydantic import BaseModel
|
| 5 |
+
from typing import List, Optional, Dict
|
| 6 |
import asyncio
|
| 7 |
import json
|
| 8 |
import time
|
| 9 |
import uuid
|
| 10 |
import logging
|
| 11 |
+
import random
|
| 12 |
+
import httpx
|
| 13 |
|
| 14 |
import g4f
|
| 15 |
from g4f.client import Client
|
| 16 |
+
from g4f import Provider
|
| 17 |
|
| 18 |
# =====================================================
|
| 19 |
# LOGGING
|
| 20 |
# =====================================================
|
| 21 |
|
| 22 |
+
logging.basicConfig(
|
| 23 |
+
level=logging.INFO,
|
| 24 |
+
format="%(asctime)s [%(levelname)s] %(message)s"
|
| 25 |
+
)
|
| 26 |
logger = logging.getLogger(__name__)
|
| 27 |
|
| 28 |
# =====================================================
|
|
|
|
| 31 |
|
| 32 |
API_KEY = "sk-your-secret-key"
|
| 33 |
|
| 34 |
+
# =====================================================
|
| 35 |
+
# PROXY CONFIG
|
| 36 |
+
# =====================================================
|
| 37 |
+
|
| 38 |
+
# قائمة البروكسيات - أضف بروكسياتك هنا
|
| 39 |
+
PROXY_LIST = [
|
| 40 |
+
# "http://user:pass@proxy1:port",
|
| 41 |
+
# "http://user:pass@proxy2:port",
|
| 42 |
+
# "socks5://user:pass@proxy3:port",
|
| 43 |
+
]
|
| 44 |
+
|
| 45 |
+
# بروكسي واحد إذا كان لديك
|
| 46 |
+
SINGLE_PROXY = None # مثال: "http://user:pass@host:port"
|
| 47 |
+
|
| 48 |
+
# =====================================================
|
| 49 |
+
# PROVIDER MAP - ربط النماذج بمزوديها
|
| 50 |
+
# =====================================================
|
| 51 |
+
|
| 52 |
+
MODEL_PROVIDER_MAP: Dict[str, list] = {
|
| 53 |
+
# GPT Models
|
| 54 |
+
"gpt-4o": [
|
| 55 |
+
Provider.Blackbox,
|
| 56 |
+
Provider.Liaobots,
|
| 57 |
+
Provider.OpenaiChat,
|
| 58 |
+
],
|
| 59 |
+
"gpt-4o-mini": [
|
| 60 |
+
Provider.Blackbox,
|
| 61 |
+
Provider.DDG,
|
| 62 |
+
Provider.Liaobots,
|
| 63 |
+
Provider.OpenaiChat,
|
| 64 |
+
],
|
| 65 |
+
"gpt-4": [
|
| 66 |
+
Provider.Blackbox,
|
| 67 |
+
Provider.Liaobots,
|
| 68 |
+
Provider.OpenaiChat,
|
| 69 |
+
],
|
| 70 |
+
"gpt-3.5-turbo": [
|
| 71 |
+
Provider.DDG,
|
| 72 |
+
Provider.Blackbox,
|
| 73 |
+
Provider.OpenaiChat,
|
| 74 |
+
],
|
| 75 |
+
# Claude Models
|
| 76 |
+
"claude-3-haiku": [
|
| 77 |
+
Provider.DDG,
|
| 78 |
+
Provider.Blackbox,
|
| 79 |
+
],
|
| 80 |
+
"claude-3-5-sonnet": [
|
| 81 |
+
Provider.Blackbox,
|
| 82 |
+
Provider.Liaobots,
|
| 83 |
+
],
|
| 84 |
+
"claude-3-opus": [
|
| 85 |
+
Provider.Liaobots,
|
| 86 |
+
Provider.Blackbox,
|
| 87 |
+
],
|
| 88 |
+
# Llama Models
|
| 89 |
+
"llama-3.1-70b": [
|
| 90 |
+
Provider.Blackbox,
|
| 91 |
+
Provider.DeepInfra,
|
| 92 |
+
Provider.Cloudflare,
|
| 93 |
+
],
|
| 94 |
+
"llama-3.1-8b": [
|
| 95 |
+
Provider.Cloudflare,
|
| 96 |
+
Provider.DeepInfra,
|
| 97 |
+
],
|
| 98 |
+
"llama-3.2-90b": [
|
| 99 |
+
Provider.Blackbox,
|
| 100 |
+
Provider.DeepInfra,
|
| 101 |
+
],
|
| 102 |
+
# Mixtral Models
|
| 103 |
+
"mixtral-8x7b": [
|
| 104 |
+
Provider.DeepInfra,
|
| 105 |
+
Provider.Blackbox,
|
| 106 |
+
],
|
| 107 |
+
# Deepseek Models
|
| 108 |
+
"deepseek-chat": [
|
| 109 |
+
Provider.DeepInfra,
|
| 110 |
+
Provider.Blackbox,
|
| 111 |
+
],
|
| 112 |
+
"deepseek-v3": [
|
| 113 |
+
Provider.Blackbox,
|
| 114 |
+
Provider.DeepInfra,
|
| 115 |
+
],
|
| 116 |
+
# Gemini Models
|
| 117 |
+
"gemini-pro": [
|
| 118 |
+
Provider.Blackbox,
|
| 119 |
+
Provider.Liaobots,
|
| 120 |
+
],
|
| 121 |
+
"gemini-1.5-pro": [
|
| 122 |
+
Provider.Blackbox,
|
| 123 |
+
Provider.Liaobots,
|
| 124 |
+
],
|
| 125 |
+
# Qwen Models
|
| 126 |
+
"qwen-2.5-72b": [
|
| 127 |
+
Provider.Blackbox,
|
| 128 |
+
Provider.DeepInfra,
|
| 129 |
+
],
|
| 130 |
+
# Default fallback
|
| 131 |
+
"default": [
|
| 132 |
+
Provider.Blackbox,
|
| 133 |
+
Provider.DDG,
|
| 134 |
+
Provider.DeepInfra,
|
| 135 |
+
],
|
| 136 |
+
}
|
| 137 |
+
|
| 138 |
+
# =====================================================
|
| 139 |
+
# FALLBACK MODELS - إذا فشل النموذج المطلوب
|
| 140 |
+
# =====================================================
|
| 141 |
+
|
| 142 |
+
FALLBACK_MODELS = [
|
| 143 |
+
"gpt-4o-mini",
|
| 144 |
+
"gpt-3.5-turbo",
|
| 145 |
+
"llama-3.1-70b",
|
| 146 |
+
]
|
| 147 |
+
|
| 148 |
# =====================================================
|
| 149 |
# FASTAPI
|
| 150 |
# =====================================================
|
| 151 |
|
| 152 |
app = FastAPI(
|
| 153 |
title="Universal AI Gateway",
|
| 154 |
+
description="بوابة ذكاء اصطناعي شاملة مع دعم البروكسي",
|
| 155 |
+
version="5.0.0"
|
| 156 |
)
|
| 157 |
|
| 158 |
# =====================================================
|
|
|
|
| 182 |
temperature: Optional[float] = 0.7
|
| 183 |
max_tokens: Optional[int] = 4096
|
| 184 |
|
| 185 |
+
# =====================================================
|
| 186 |
+
# PROXY HELPER
|
| 187 |
+
# =====================================================
|
| 188 |
+
|
| 189 |
+
def get_proxy() -> Optional[str]:
|
| 190 |
+
"""الحصول على بروكسي من القائمة"""
|
| 191 |
+
|
| 192 |
+
# إذا كان هناك بروكسي واحد محدد
|
| 193 |
+
if SINGLE_PROXY:
|
| 194 |
+
logger.info(f"Using single proxy: {SINGLE_PROXY[:20]}...")
|
| 195 |
+
return SINGLE_PROXY
|
| 196 |
+
|
| 197 |
+
# اختيار عشوائي من القائمة
|
| 198 |
+
if PROXY_LIST:
|
| 199 |
+
proxy = random.choice(PROXY_LIST)
|
| 200 |
+
logger.info(f"Using proxy from list: {proxy[:20]}...")
|
| 201 |
+
return proxy
|
| 202 |
+
|
| 203 |
+
return None
|
| 204 |
+
|
| 205 |
+
def get_g4f_proxy_config() -> dict:
|
| 206 |
+
"""إعداد البروكسي لـ g4f"""
|
| 207 |
+
proxy = get_proxy()
|
| 208 |
+
if proxy:
|
| 209 |
+
return {"proxy": proxy}
|
| 210 |
+
return {}
|
| 211 |
+
|
| 212 |
+
# =====================================================
|
| 213 |
+
# CLIENT BUILDER
|
| 214 |
+
# =====================================================
|
| 215 |
+
|
| 216 |
+
def build_client(proxy: Optional[str] = None) -> Client:
|
| 217 |
+
"""بناء عميل g4f مع البروكسي"""
|
| 218 |
+
proxy_url = proxy or get_proxy()
|
| 219 |
+
|
| 220 |
+
if proxy_url:
|
| 221 |
+
try:
|
| 222 |
+
client = Client(proxies=proxy_url)
|
| 223 |
+
logger.info("Client created with proxy")
|
| 224 |
+
return client
|
| 225 |
+
except Exception as e:
|
| 226 |
+
logger.warning(f"Failed to create client with proxy: {e}")
|
| 227 |
+
|
| 228 |
+
return Client()
|
| 229 |
+
|
| 230 |
# =====================================================
|
| 231 |
# AUTH
|
| 232 |
# =====================================================
|
| 233 |
|
| 234 |
def verify_api_key(req: Request):
|
| 235 |
+
"""التحقق من مفتاح API"""
|
| 236 |
auth = req.headers.get("Authorization")
|
| 237 |
|
| 238 |
+
# السماح بدون مفتاح للاختبار
|
| 239 |
if not auth:
|
| 240 |
return True
|
| 241 |
|
| 242 |
if not auth.startswith("Bearer "):
|
| 243 |
raise HTTPException(
|
| 244 |
status_code=401,
|
| 245 |
+
detail="Invalid Authorization Format - يجب أن يبدأ بـ Bearer"
|
| 246 |
)
|
| 247 |
|
| 248 |
token = auth.replace("Bearer ", "").strip()
|
|
|
|
| 250 |
if token != API_KEY:
|
| 251 |
raise HTTPException(
|
| 252 |
status_code=403,
|
| 253 |
+
detail="Invalid API Key - مفتاح API غير صحيح"
|
| 254 |
)
|
| 255 |
|
| 256 |
return True
|
| 257 |
|
| 258 |
+
# =====================================================
|
| 259 |
+
# CORE: SMART COMPLETION WITH RETRY + FALLBACK
|
| 260 |
+
# =====================================================
|
| 261 |
+
|
| 262 |
+
async def smart_completion(
|
| 263 |
+
model: str,
|
| 264 |
+
messages: list,
|
| 265 |
+
stream: bool = False,
|
| 266 |
+
max_retries: int = 3,
|
| 267 |
+
proxy: Optional[str] = None
|
| 268 |
+
):
|
| 269 |
+
"""
|
| 270 |
+
محاولة ذكية مع:
|
| 271 |
+
- تجربة عدة مزودين
|
| 272 |
+
- إعادة المحاولة عند الفشل
|
| 273 |
+
- التحويل لنموذج بديل
|
| 274 |
+
"""
|
| 275 |
+
|
| 276 |
+
# الحصول على قائمة المزودين للنموذج
|
| 277 |
+
providers = MODEL_PROVIDER_MAP.get(
|
| 278 |
+
model,
|
| 279 |
+
MODEL_PROVIDER_MAP["default"]
|
| 280 |
+
)
|
| 281 |
+
|
| 282 |
+
# خلط المزودين عشوائياً لتوزيع الحمل
|
| 283 |
+
providers_shuffled = providers.copy()
|
| 284 |
+
random.shuffle(providers_shuffled)
|
| 285 |
+
|
| 286 |
+
last_error = None
|
| 287 |
+
|
| 288 |
+
# -----------------------------------------------
|
| 289 |
+
# المحاولة مع كل مزود
|
| 290 |
+
# -----------------------------------------------
|
| 291 |
+
|
| 292 |
+
for attempt in range(max_retries):
|
| 293 |
+
|
| 294 |
+
for provider in providers_shuffled:
|
| 295 |
+
|
| 296 |
+
try:
|
| 297 |
+
|
| 298 |
+
logger.info(
|
| 299 |
+
f"Attempt {attempt+1} | Model: {model} | Provider: {provider.__name__}"
|
| 300 |
+
)
|
| 301 |
+
|
| 302 |
+
client = build_client(proxy)
|
| 303 |
+
|
| 304 |
+
proxy_config = get_g4f_proxy_config()
|
| 305 |
+
|
| 306 |
+
response = await asyncio.to_thread(
|
| 307 |
+
client.chat.completions.create,
|
| 308 |
+
model=model,
|
| 309 |
+
messages=messages,
|
| 310 |
+
provider=provider,
|
| 311 |
+
stream=stream,
|
| 312 |
+
**proxy_config
|
| 313 |
+
)
|
| 314 |
+
|
| 315 |
+
logger.info(
|
| 316 |
+
f"✅ Success | Model: {model} | Provider: {provider.__name__}"
|
| 317 |
+
)
|
| 318 |
+
|
| 319 |
+
return response, model
|
| 320 |
+
|
| 321 |
+
except Exception as e:
|
| 322 |
+
|
| 323 |
+
last_error = e
|
| 324 |
+
logger.warning(
|
| 325 |
+
f"❌ Failed | Model: {model} | Provider: {provider.__name__} | Error: {str(e)[:100]}"
|
| 326 |
+
)
|
| 327 |
+
|
| 328 |
+
# انتظار قصير قبل المحاولة التالية
|
| 329 |
+
await asyncio.sleep(0.5)
|
| 330 |
+
|
| 331 |
+
# انتظار قبل دورة المحاولات الجديدة
|
| 332 |
+
if attempt < max_retries - 1:
|
| 333 |
+
wait_time = (attempt + 1) * 1.5
|
| 334 |
+
logger.info(f"Waiting {wait_time}s before retry {attempt+2}...")
|
| 335 |
+
await asyncio.sleep(wait_time)
|
| 336 |
+
|
| 337 |
+
# -----------------------------------------------
|
| 338 |
+
# Fallback: تجربة نماذج بديلة
|
| 339 |
+
# -----------------------------------------------
|
| 340 |
+
|
| 341 |
+
logger.warning(
|
| 342 |
+
f"All providers failed for {model}. Trying fallback models..."
|
| 343 |
+
)
|
| 344 |
+
|
| 345 |
+
for fallback_model in FALLBACK_MODELS:
|
| 346 |
+
|
| 347 |
+
if fallback_model == model:
|
| 348 |
+
continue
|
| 349 |
+
|
| 350 |
+
fallback_providers = MODEL_PROVIDER_MAP.get(
|
| 351 |
+
fallback_model,
|
| 352 |
+
MODEL_PROVIDER_MAP["default"]
|
| 353 |
+
)
|
| 354 |
+
|
| 355 |
+
for fb_provider in fallback_providers[:2]: # أول مزودين فقط
|
| 356 |
+
|
| 357 |
+
try:
|
| 358 |
+
|
| 359 |
+
logger.info(
|
| 360 |
+
f"🔄 Fallback | Model: {fallback_model} | Provider: {fb_provider.__name__}"
|
| 361 |
+
)
|
| 362 |
+
|
| 363 |
+
client = build_client(proxy)
|
| 364 |
+
proxy_config = get_g4f_proxy_config()
|
| 365 |
+
|
| 366 |
+
response = await asyncio.to_thread(
|
| 367 |
+
client.chat.completions.create,
|
| 368 |
+
model=fallback_model,
|
| 369 |
+
messages=messages,
|
| 370 |
+
provider=fb_provider,
|
| 371 |
+
stream=stream,
|
| 372 |
+
**proxy_config
|
| 373 |
+
)
|
| 374 |
+
|
| 375 |
+
logger.info(
|
| 376 |
+
f"✅ Fallback Success | Model: {fallback_model} | Provider: {fb_provider.__name__}"
|
| 377 |
+
)
|
| 378 |
+
|
| 379 |
+
return response, fallback_model
|
| 380 |
+
|
| 381 |
+
except Exception as e:
|
| 382 |
+
|
| 383 |
+
logger.warning(
|
| 384 |
+
f"❌ Fallback Failed | Model: {fallback_model} | Error: {str(e)[:100]}"
|
| 385 |
+
)
|
| 386 |
+
await asyncio.sleep(0.3)
|
| 387 |
+
|
| 388 |
+
# -----------------------------------------------
|
| 389 |
+
# آخر محاولة: بدون تحديد مزود
|
| 390 |
+
# -----------------------------------------------
|
| 391 |
+
|
| 392 |
+
try:
|
| 393 |
+
|
| 394 |
+
logger.info(f"🆘 Last resort attempt for model: {model}")
|
| 395 |
+
|
| 396 |
+
client = build_client(proxy)
|
| 397 |
+
|
| 398 |
+
response = await asyncio.to_thread(
|
| 399 |
+
client.chat.completions.create,
|
| 400 |
+
model=model,
|
| 401 |
+
messages=messages,
|
| 402 |
+
stream=stream
|
| 403 |
+
)
|
| 404 |
+
|
| 405 |
+
return response, model
|
| 406 |
+
|
| 407 |
+
except Exception as e:
|
| 408 |
+
|
| 409 |
+
last_error = e
|
| 410 |
+
logger.error(f"💀 All attempts failed: {str(e)}")
|
| 411 |
+
|
| 412 |
+
raise HTTPException(
|
| 413 |
+
status_code=503,
|
| 414 |
+
detail={
|
| 415 |
+
"error": "All providers failed",
|
| 416 |
+
"message": str(last_error),
|
| 417 |
+
"model_requested": model,
|
| 418 |
+
"suggestion": "Try again later or use a different model"
|
| 419 |
+
}
|
| 420 |
+
)
|
| 421 |
+
|
| 422 |
# =====================================================
|
| 423 |
# ROOT
|
| 424 |
# =====================================================
|
| 425 |
|
| 426 |
@app.get("/")
|
| 427 |
async def root():
|
|
|
|
| 428 |
return {
|
| 429 |
"status": "online",
|
| 430 |
"service": "Universal AI Gateway",
|
| 431 |
+
"version": "5.0.0",
|
| 432 |
+
"proxy_enabled": bool(PROXY_LIST or SINGLE_PROXY),
|
| 433 |
+
"supported_models": list(MODEL_PROVIDER_MAP.keys()),
|
| 434 |
+
"endpoints": {
|
| 435 |
+
"chat": "/v1/chat/completions",
|
| 436 |
+
"models": "/v1/models",
|
| 437 |
+
"health": "/health"
|
| 438 |
+
}
|
| 439 |
}
|
| 440 |
|
| 441 |
# =====================================================
|
| 442 |
+
# HEALTH CHECK
|
| 443 |
# =====================================================
|
| 444 |
|
| 445 |
+
@app.get("/health")
|
| 446 |
+
async def health_check():
|
| 447 |
+
"""فحص صحة الخدمة"""
|
| 448 |
|
| 449 |
+
proxy_status = "disabled"
|
| 450 |
|
| 451 |
+
if SINGLE_PROXY or PROXY_LIST:
|
| 452 |
+
proxy_status = "enabled"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 453 |
|
| 454 |
+
# اختبار البروكسي
|
| 455 |
+
proxy = get_proxy()
|
| 456 |
+
if proxy:
|
| 457 |
+
try:
|
| 458 |
+
async with httpx.AsyncClient(
|
| 459 |
+
proxies=proxy,
|
| 460 |
+
timeout=10
|
| 461 |
+
) as client:
|
| 462 |
+
resp = await client.get("https://api.ipify.org?format=json")
|
| 463 |
+
ip_data = resp.json()
|
| 464 |
+
proxy_status = f"working - IP: {ip_data.get('ip', 'unknown')}"
|
| 465 |
+
except Exception as e:
|
| 466 |
+
proxy_status = f"error - {str(e)[:50]}"
|
| 467 |
|
| 468 |
+
return {
|
| 469 |
+
"status": "healthy",
|
| 470 |
+
"timestamp": int(time.time()),
|
| 471 |
+
"proxy": proxy_status,
|
| 472 |
+
"providers_count": len(MODEL_PROVIDER_MAP),
|
| 473 |
+
"fallback_models": FALLBACK_MODELS
|
| 474 |
+
}
|
| 475 |
|
| 476 |
+
# =====================================================
|
| 477 |
+
# MODELS LIST
|
| 478 |
+
# =====================================================
|
| 479 |
|
| 480 |
+
@app.get("/v1/models")
|
| 481 |
+
async def get_models():
|
| 482 |
+
"""قائمة النماذج المتاحة"""
|
| 483 |
|
| 484 |
+
models_data = []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 485 |
|
| 486 |
+
# النماذج من الخريطة
|
| 487 |
+
for model_id in MODEL_PROVIDER_MAP.keys():
|
| 488 |
+
if model_id == "default":
|
| 489 |
+
continue
|
| 490 |
|
| 491 |
+
providers_count = len(MODEL_PROVIDER_MAP[model_id])
|
| 492 |
|
| 493 |
+
models_data.append({
|
| 494 |
+
"id": model_id,
|
| 495 |
+
"object": "model",
|
| 496 |
+
"created": int(time.time()),
|
| 497 |
+
"owned_by": "g4f",
|
| 498 |
+
"providers_available": providers_count,
|
| 499 |
+
"permission": [],
|
| 500 |
+
"root": model_id,
|
| 501 |
+
"parent": None
|
| 502 |
+
})
|
| 503 |
|
| 504 |
+
# إضافة نماذج إضافية من g4f
|
| 505 |
+
try:
|
| 506 |
+
if hasattr(g4f.models, "_all_models"):
|
| 507 |
+
all_models = list(g4f.models._all_models)
|
| 508 |
+
existing_ids = {m["id"] for m in models_data}
|
| 509 |
+
|
| 510 |
+
for model in all_models[:30]:
|
| 511 |
+
model_str = str(model)
|
| 512 |
+
if model_str not in existing_ids:
|
| 513 |
+
models_data.append({
|
| 514 |
+
"id": model_str,
|
| 515 |
+
"object": "model",
|
| 516 |
+
"created": int(time.time()),
|
| 517 |
+
"owned_by": "g4f",
|
| 518 |
+
"providers_available": 1,
|
| 519 |
+
"permission": [],
|
| 520 |
+
"root": model_str,
|
| 521 |
+
"parent": None
|
| 522 |
+
})
|
| 523 |
+
existing_ids.add(model_str)
|
| 524 |
|
| 525 |
+
except Exception as e:
|
| 526 |
+
logger.warning(f"Could not fetch g4f models: {e}")
|
|
|
|
|
|
|
|
|
|
|
|
|
| 527 |
|
| 528 |
return {
|
| 529 |
"object": "list",
|
| 530 |
+
"data": models_data,
|
| 531 |
+
"total": len(models_data)
|
| 532 |
}
|
| 533 |
|
| 534 |
# =====================================================
|
| 535 |
+
# CHAT COMPLETIONS - MAIN ENDPOINT
|
| 536 |
# =====================================================
|
| 537 |
|
| 538 |
@app.post("/v1/chat/completions")
|
|
|
|
| 540 |
req: Request,
|
| 541 |
body: ChatRequest
|
| 542 |
):
|
| 543 |
+
"""نقطة نهاية المحادثة الرئيسية"""
|
| 544 |
|
| 545 |
verify_api_key(req)
|
| 546 |
|
| 547 |
+
# تحويل الرسائل
|
| 548 |
messages = [
|
| 549 |
+
{"role": m.role, "content": m.content}
|
|
|
|
|
|
|
|
|
|
| 550 |
for m in body.messages
|
| 551 |
]
|
| 552 |
|
| 553 |
logger.info(
|
| 554 |
+
f"📨 Request | model={body.model} | stream={body.stream} | messages={len(messages)}"
|
| 555 |
)
|
| 556 |
|
| 557 |
# =================================================
|
|
|
|
| 564 |
|
| 565 |
try:
|
| 566 |
|
| 567 |
+
# الحصول على البروكسي
|
| 568 |
+
proxy = get_proxy()
|
| 569 |
+
chunk_id = f"chatcmpl-{uuid.uuid4().hex}"
|
| 570 |
+
actual_model = body.model
|
| 571 |
|
| 572 |
+
# محاولة مع كل مزود
|
| 573 |
+
providers = MODEL_PROVIDER_MAP.get(
|
| 574 |
+
body.model,
|
| 575 |
+
MODEL_PROVIDER_MAP["default"]
|
| 576 |
)
|
| 577 |
|
| 578 |
+
providers_shuffled = providers.copy()
|
| 579 |
+
random.shuffle(providers_shuffled)
|
| 580 |
+
|
| 581 |
+
response = None
|
| 582 |
+
last_err = None
|
| 583 |
+
|
| 584 |
+
# تجربة كل مزود
|
| 585 |
+
for provider in providers_shuffled:
|
| 586 |
+
|
| 587 |
+
try:
|
| 588 |
+
|
| 589 |
+
logger.info(
|
| 590 |
+
f"Stream attempt | Provider: {provider.__name__}"
|
| 591 |
+
)
|
| 592 |
+
|
| 593 |
+
client = build_client(proxy)
|
| 594 |
+
proxy_config = get_g4f_proxy_config()
|
| 595 |
+
|
| 596 |
+
response = await asyncio.to_thread(
|
| 597 |
+
client.chat.completions.create,
|
| 598 |
+
model=body.model,
|
| 599 |
+
messages=messages,
|
| 600 |
+
provider=provider,
|
| 601 |
+
stream=True,
|
| 602 |
+
**proxy_config
|
| 603 |
+
)
|
| 604 |
+
|
| 605 |
+
logger.info(
|
| 606 |
+
f"✅ Stream connected | Provider: {provider.__name__}"
|
| 607 |
+
)
|
| 608 |
+
break
|
| 609 |
+
|
| 610 |
+
except Exception as e:
|
| 611 |
+
last_err = e
|
| 612 |
+
logger.warning(
|
| 613 |
+
f"❌ Stream provider failed: {provider.__name__} | {str(e)[:80]}"
|
| 614 |
+
)
|
| 615 |
+
await asyncio.sleep(0.3)
|
| 616 |
+
|
| 617 |
+
# إذا فشل كل شيء، جرب بدون مزود محدد
|
| 618 |
+
if response is None:
|
| 619 |
+
|
| 620 |
+
try:
|
| 621 |
+
client = build_client(proxy)
|
| 622 |
+
response = await asyncio.to_thread(
|
| 623 |
+
client.chat.completions.create,
|
| 624 |
+
model=body.model,
|
| 625 |
+
messages=messages,
|
| 626 |
+
stream=True
|
| 627 |
+
)
|
| 628 |
+
logger.info("✅ Stream connected without specific provider")
|
| 629 |
+
|
| 630 |
+
except Exception as e:
|
| 631 |
+
last_err = e
|
| 632 |
+
logger.error(f"💀 Stream completely failed: {e}")
|
| 633 |
+
|
| 634 |
+
error_payload = {
|
| 635 |
+
"error": {
|
| 636 |
+
"message": str(e),
|
| 637 |
+
"type": "server_error",
|
| 638 |
+
"code": 503
|
| 639 |
+
}
|
| 640 |
+
}
|
| 641 |
+
yield f"data: {json.dumps(error_payload)}\n\n"
|
| 642 |
+
return
|
| 643 |
+
|
| 644 |
+
# إرسال البيانات
|
| 645 |
+
has_content = False
|
| 646 |
|
| 647 |
for chunk in response:
|
| 648 |
|
|
|
|
| 652 |
|
| 653 |
if (
|
| 654 |
chunk.choices
|
| 655 |
+
and len(chunk.choices) > 0
|
| 656 |
and chunk.choices[0].delta
|
| 657 |
and chunk.choices[0].delta.content
|
| 658 |
):
|
|
|
|
| 660 |
|
| 661 |
if content:
|
| 662 |
|
| 663 |
+
has_content = True
|
| 664 |
+
|
| 665 |
payload = {
|
| 666 |
"id": chunk_id,
|
| 667 |
"object": "chat.completion.chunk",
|
| 668 |
"created": int(time.time()),
|
| 669 |
+
"model": actual_model,
|
| 670 |
"choices": [
|
| 671 |
{
|
| 672 |
"index": 0,
|
| 673 |
"delta": {
|
| 674 |
+
"role": "assistant",
|
| 675 |
"content": content
|
| 676 |
},
|
| 677 |
"finish_reason": None
|
|
|
|
| 679 |
]
|
| 680 |
}
|
| 681 |
|
| 682 |
+
yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
|
|
|
|
| 683 |
await asyncio.sleep(0)
|
| 684 |
|
| 685 |
except Exception as chunk_error:
|
| 686 |
+
logger.error(f"Chunk processing error: {chunk_error}")
|
| 687 |
+
continue
|
| 688 |
|
| 689 |
+
# إذا لم يكن هناك محتوى
|
| 690 |
+
if not has_content:
|
| 691 |
+
logger.warning("Stream produced no content!")
|
| 692 |
|
| 693 |
+
# إشارة الانتهاء
|
| 694 |
final_payload = {
|
| 695 |
"id": chunk_id,
|
| 696 |
"object": "chat.completion.chunk",
|
| 697 |
"created": int(time.time()),
|
| 698 |
+
"model": actual_model,
|
| 699 |
"choices": [
|
| 700 |
{
|
| 701 |
"index": 0,
|
|
|
|
| 706 |
}
|
| 707 |
|
| 708 |
yield f"data: {json.dumps(final_payload)}\n\n"
|
|
|
|
| 709 |
yield "data: [DONE]\n\n"
|
| 710 |
|
| 711 |
except Exception as e:
|
| 712 |
|
| 713 |
+
logger.error(f"Stream generation error: {e}")
|
| 714 |
|
| 715 |
error_payload = {
|
| 716 |
"error": {
|
|
|
|
| 727 |
headers={
|
| 728 |
"Cache-Control": "no-cache",
|
| 729 |
"Connection": "keep-alive",
|
| 730 |
+
"X-Accel-Buffering": "no",
|
| 731 |
+
"Transfer-Encoding": "chunked"
|
| 732 |
}
|
| 733 |
)
|
| 734 |
|
|
|
|
| 738 |
|
| 739 |
try:
|
| 740 |
|
| 741 |
+
proxy = get_proxy()
|
| 742 |
|
| 743 |
+
response, actual_model = await smart_completion(
|
|
|
|
| 744 |
model=body.model,
|
| 745 |
+
messages=messages,
|
| 746 |
+
stream=False,
|
| 747 |
+
max_retries=3,
|
| 748 |
+
proxy=proxy
|
| 749 |
)
|
| 750 |
|
| 751 |
+
# استخراج المحتوى
|
| 752 |
assistant_message = ""
|
| 753 |
|
| 754 |
try:
|
| 755 |
+
assistant_message = response.choices[0].message.content or ""
|
| 756 |
+
except AttributeError:
|
| 757 |
+
try:
|
| 758 |
+
assistant_message = str(response)
|
| 759 |
+
except Exception:
|
| 760 |
+
assistant_message = "Error extracting response"
|
| 761 |
+
|
| 762 |
+
# حساب الرموز تقريبياً
|
| 763 |
+
prompt_tokens = sum(len(m["content"].split()) for m in messages)
|
| 764 |
+
completion_tokens = len(assistant_message.split())
|
| 765 |
|
| 766 |
return JSONResponse({
|
| 767 |
"id": f"chatcmpl-{uuid.uuid4().hex}",
|
| 768 |
"object": "chat.completion",
|
| 769 |
"created": int(time.time()),
|
| 770 |
+
"model": actual_model,
|
| 771 |
"choices": [
|
| 772 |
{
|
| 773 |
"index": 0,
|
|
|
|
| 779 |
}
|
| 780 |
],
|
| 781 |
"usage": {
|
| 782 |
+
"prompt_tokens": prompt_tokens,
|
| 783 |
+
"completion_tokens": completion_tokens,
|
| 784 |
+
"total_tokens": prompt_tokens + completion_tokens
|
| 785 |
}
|
| 786 |
})
|
| 787 |
|
| 788 |
+
except HTTPException:
|
| 789 |
+
raise
|
| 790 |
+
|
| 791 |
except Exception as e:
|
| 792 |
|
| 793 |
+
logger.error(f"Chat completion error: {e}")
|
| 794 |
|
| 795 |
raise HTTPException(
|
| 796 |
status_code=500,
|
| 797 |
+
detail={
|
| 798 |
+
"error": str(e),
|
| 799 |
+
"model": body.model,
|
| 800 |
+
"message": "Internal server error"
|
| 801 |
+
}
|
| 802 |
)
|
| 803 |
|
| 804 |
# =====================================================
|
|
|
|
| 809 |
|
| 810 |
import uvicorn
|
| 811 |
|
| 812 |
+
logger.info("🚀 Starting Universal AI Gateway v5.0.0")
|
| 813 |
+
logger.info(f"🔌 Proxy enabled: {bool(PROXY_LIST or SINGLE_PROXY)}")
|
| 814 |
+
logger.info(f"📦 Models configured: {len(MODEL_PROVIDER_MAP)}")
|
| 815 |
+
|
| 816 |
uvicorn.run(
|
| 817 |
app,
|
| 818 |
host="0.0.0.0",
|
| 819 |
+
port=7860,
|
| 820 |
+
log_level="info"
|
| 821 |
+
)
|