Update app.py
Browse files
app.py
CHANGED
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@@ -2,16 +2,23 @@ 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
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-
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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
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-
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# =====================================================
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# LOGGING
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@@ -20,13 +27,11 @@ from g4f.client import Client
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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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# =====================================================
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# CONFIG
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# =====================================================
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API_KEY = "sk-your-secret-key"
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-
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# =====================================================
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# FASTAPI
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@@ -37,7 +42,6 @@ app = FastAPI(
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version="5.3.0"
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)
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-
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# =====================================================
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# CORS
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# =====================================================
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@@ -50,7 +54,6 @@ app.add_middleware(
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allow_headers=["*"],
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)
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-
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# =====================================================
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# MODELS
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# =====================================================
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@@ -59,92 +62,64 @@ class Message(BaseModel):
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role: str
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content: str
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-
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class ChatRequest(BaseModel):
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model: str
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messages: List[Message]
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stream: bool = False
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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 بدون مفتاح 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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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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detail="Invalid API Key"
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)
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return True
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-
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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": "5.3.0"
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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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models_data = [
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for model in all_models:
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models_data.append({
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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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except Exception as e:
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logger.error(f"Models error: {e}")
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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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@@ -154,64 +129,37 @@ async def chat_completions(
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req: Request,
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body: ChatRequest
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):
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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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# =================================================
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# STREAMING
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# =================================================
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if body.stream:
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chunk_id = f"chatcmpl-{uuid.uuid4().hex}"
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try:
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response = client.chat.completions.create(
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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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for chunk in response:
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try:
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content = ""
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if (
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hasattr(chunk, "choices")
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and chunk.choices
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and len(chunk.choices) > 0
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and hasattr(chunk.choices[0], "delta")
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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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content = chunk.choices[0].delta.content
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if not content:
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continue
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has_content = True
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payload = {
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"id": chunk_id,
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"object": "chat.completion.chunk",
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@@ -220,44 +168,14 @@ async def chat_completions(
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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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}
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+ json.dumps(
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payload,
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ensure_ascii=False
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)
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+ "\n\n"
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)
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except Exception as chunk_error:
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logger.error(
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f"Chunk error: {chunk_error}"
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)
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if not has_content:
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error_payload = {
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"error": {
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"message": "Provider returned empty stream",
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"type": "empty_stream"
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}
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}
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yield (
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"data: "
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+ json.dumps(error_payload)
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+ "\n\n"
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)
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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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@@ -271,124 +189,73 @@ async def chat_completions(
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}
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]
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}
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yield (
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"data: "
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+ json.dumps(final_payload)
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+ "\n\n"
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)
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yield "data: [DONE]\n\n"
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except Exception as e:
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)
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error_payload = {
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"error": {
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"message": str(e),
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"type": "server_error"
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}
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}
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yield (
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"data: "
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+ json.dumps(error_payload)
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+ "\n\n"
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)
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yield "data: [DONE]\n\n"
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return StreamingResponse(
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generate_stream(),
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media_type="text/event-stream",
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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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# =================================================
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# NORMAL RESPONSE
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# =================================================
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try:
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response = client.chat.completions.create(
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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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assistant_message = ""
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try:
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assistant_message = (
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response
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.choices[0]
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.message
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.content
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)
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except Exception:
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assistant_message = str(response)
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return JSONResponse({
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"id": (
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f"chatcmpl-{uuid.uuid4().hex}"
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),
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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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"index": 0,
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"message": {
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"role": "assistant",
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"content":
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},
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"finish_reason": "stop"
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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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"total_tokens": 0
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}
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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}")
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raise HTTPException(
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status_code=500,
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detail=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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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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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 بالطريقة الصحيحة
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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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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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version="5.3.0"
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)
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# =====================================================
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# CORS
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# =====================================================
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allow_headers=["*"],
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)
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# =====================================================
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# MODELS
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# =====================================================
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role: str
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content: str
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class ChatRequest(BaseModel):
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model: str = "gpt-3.5-turbo"
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messages: List[Message]
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stream: bool = False
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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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# للاختبار: السماح بدون مفتاح
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auth = req.headers.get("Authorization")
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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(status_code=401, detail="Invalid Authorization Format")
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token = auth.replace("Bearer ", "").strip()
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if 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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# 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": "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": "gemini", "object": "model", "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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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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+
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# تحويل الرسائل
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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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+
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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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# =================================================
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# STREAMING
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# =================================================
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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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+
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try:
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+
# استخدام ChatCompletion.create مع stream=True
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+
response = await 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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+
provider=Bing # جرب Bing أو OpenaiChat
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)
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+
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+
async for chunk in response:
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+
if chunk:
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| 163 |
payload = {
|
| 164 |
"id": chunk_id,
|
| 165 |
"object": "chat.completion.chunk",
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| 168 |
"choices": [
|
| 169 |
{
|
| 170 |
"index": 0,
|
| 171 |
+
"delta": {"content": chunk},
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|
| 172 |
"finish_reason": None
|
| 173 |
}
|
| 174 |
]
|
| 175 |
}
|
| 176 |
+
yield f"data: {json.dumps(payload, ensure_ascii=False)}\n\n"
|
| 177 |
+
|
| 178 |
+
# إرسال إشارة النهاية
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|
| 179 |
final_payload = {
|
| 180 |
"id": chunk_id,
|
| 181 |
"object": "chat.completion.chunk",
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|
| 189 |
}
|
| 190 |
]
|
| 191 |
}
|
| 192 |
+
yield f"data: {json.dumps(final_payload)}\n\n"
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|
| 193 |
yield "data: [DONE]\n\n"
|
| 194 |
+
|
| 195 |
except Exception as e:
|
| 196 |
+
logger.error(f"Streaming error: {e}", exc_info=True)
|
| 197 |
+
error_msg = {"error": {"message": str(e), "type": "stream_error"}}
|
| 198 |
+
yield f"data: {json.dumps(error_msg)}\n\n"
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|
| 199 |
yield "data: [DONE]\n\n"
|
| 200 |
+
|
| 201 |
return StreamingResponse(
|
| 202 |
generate_stream(),
|
| 203 |
media_type="text/event-stream",
|
| 204 |
headers={
|
| 205 |
"Cache-Control": "no-cache",
|
| 206 |
"Connection": "keep-alive",
|
| 207 |
+
"Access-Control-Allow-Origin": "*"
|
| 208 |
}
|
| 209 |
)
|
| 210 |
+
|
| 211 |
# =================================================
|
| 212 |
# NORMAL RESPONSE
|
| 213 |
# =================================================
|
| 214 |
+
|
| 215 |
try:
|
| 216 |
+
# استخدام ChatCompletion.create_async
|
| 217 |
+
response = await ChatCompletion.create_async(
|
|
|
|
|
|
|
| 218 |
model=body.model,
|
| 219 |
messages=messages,
|
| 220 |
+
stream=False,
|
| 221 |
+
provider=Bing # جرب مزوداً مختلفاً إذا فشل
|
| 222 |
)
|
| 223 |
+
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|
| 224 |
return JSONResponse({
|
| 225 |
+
"id": f"chatcmpl-{uuid.uuid4().hex[:8]}",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 226 |
"object": "chat.completion",
|
|
|
|
| 227 |
"created": int(time.time()),
|
|
|
|
| 228 |
"model": body.model,
|
|
|
|
| 229 |
"choices": [
|
| 230 |
{
|
| 231 |
"index": 0,
|
| 232 |
"message": {
|
| 233 |
"role": "assistant",
|
| 234 |
+
"content": response
|
| 235 |
},
|
| 236 |
"finish_reason": "stop"
|
| 237 |
}
|
| 238 |
],
|
|
|
|
| 239 |
"usage": {
|
| 240 |
"prompt_tokens": 0,
|
| 241 |
"completion_tokens": 0,
|
| 242 |
"total_tokens": 0
|
| 243 |
}
|
|
|
|
| 244 |
})
|
| 245 |
+
|
| 246 |
except Exception as e:
|
| 247 |
+
logger.error(f"Chat error: {e}", exc_info=True)
|
|
|
|
|
|
|
| 248 |
raise HTTPException(
|
| 249 |
status_code=500,
|
| 250 |
+
detail=f"Provider error: {str(e)}"
|
| 251 |
)
|
| 252 |
|
|
|
|
| 253 |
# =====================================================
|
| 254 |
# RUN
|
| 255 |
# =====================================================
|
| 256 |
|
| 257 |
if __name__ == "__main__":
|
|
|
|
| 258 |
import uvicorn
|
|
|
|
| 259 |
uvicorn.run(
|
| 260 |
app,
|
| 261 |
host="0.0.0.0",
|