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+# Auto detect text files and perform LF normalization
+* text=auto

main.py

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+import json
+import logging
+import os
+import uuid
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+import httpx
+import uvicorn
+from dotenv import load_dotenv
+from fastapi import FastAPI, HTTPException, Depends
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+from pydantic import BaseModel
+from starlette.middleware.cors import CORSMiddleware
+from starlette.responses import StreamingResponse, Response
+
+logging.basicConfig(
+    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+logger = logging.getLogger(__name__)
+
+load_dotenv()
+app = FastAPI()
+BASE_URL = "https://aichatonlineorg.erweima.ai/aichatonline"
+APP_SECRET = os.getenv("APP_SECRET","666")
+ACCESS_TOKEN = os.getenv("SD_ACCESS_TOKEN","")
+headers = {
+    'accept': '*/*',
+    'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6',
+    'authorization': f'Bearer {ACCESS_TOKEN}',
+    'cache-control': 'no-cache',
+    'origin': 'chrome-extension://dhoenijjpgpeimemopealfcbiecgceod',
+    'pragma': 'no-cache',
+    'priority': 'u=1, i',
+    'sec-fetch-dest': 'empty',
+    'sec-fetch-mode': 'cors',
+    'sec-fetch-site': 'none',
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36 Edg/129.0.0.0',
+}
+
+ALLOWED_MODELS = [
+    {"id": "claude-3.5-sonnet", "name": "claude-3.5-sonnet"},
+    {"id": "claude-3-opus", "name": "claude-3-opus"},
+    {"id": "gemini-1.5-pro", "name": "gemini-1.5-pro"},
+    {"id": "gpt-4o", "name": "gpt-4o"},
+    {"id": "o1-preview", "name": "o1-preview"},
+    {"id": "o1-mini", "name": "o1-mini"},
+    {"id": "gpt-4o-mini", "name": "gpt-4o-mini"},
+]
+# Configure CORS
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Allow all sources, you can restrict specific sources if needed
+    allow_credentials=True,
+    allow_methods=["*"],  # All methods allowed
+    allow_headers=["*"],  # Allow all headers
+)
+security = HTTPBearer()
+
+
+class Message(BaseModel):
+    role: str
+    content: str
+
+
+class ChatRequest(BaseModel):
+    model: str
+    messages: List[Message]
+    stream: Optional[bool] = False
+
+
+def simulate_data(content, model):
+    return {
+        "id": f"chatcmpl-{uuid.uuid4()}",
+        "object": "chat.completion.chunk",
+        "created": int(datetime.now().timestamp()),
+        "model": model,
+        "choices": [
+            {
+                "index": 0,
+                "delta": {"content": content, "role": "assistant"},
+                "finish_reason": None,
+            }
+        ],
+        "usage": None,
+    }
+
+
+def stop_data(content, model):
+    return {
+        "id": f"chatcmpl-{uuid.uuid4()}",
+        "object": "chat.completion.chunk",
+        "created": int(datetime.now().timestamp()),
+        "model": model,
+        "choices": [
+            {
+                "index": 0,
+                "delta": {"content": content, "role": "assistant"},
+                "finish_reason": "stop",
+            }
+        ],
+        "usage": None,
+    }
+    
+    
+def create_chat_completion_data(content: str, model: str, finish_reason: Optional[str] = None) -> Dict[str, Any]:
+    return {
+        "id": f"chatcmpl-{uuid.uuid4()}",
+        "object": "chat.completion.chunk",
+        "created": int(datetime.now().timestamp()),
+        "model": model,
+        "choices": [
+            {
+                "index": 0,
+                "delta": {"content": content, "role": "assistant"},
+                "finish_reason": finish_reason,
+            }
+        ],
+        "usage": None,
+    }
+
+
+def verify_app_secret(credentials: HTTPAuthorizationCredentials = Depends(security)):
+    if credentials.credentials != APP_SECRET:
+        raise HTTPException(status_code=403, detail="Invalid APP_SECRET")
+    return credentials.credentials
+
+
+@app.options("/hf/v1/chat/completions")
+async def chat_completions_options():
+    return Response(
+        status_code=200,
+        headers={
+            "Access-Control-Allow-Origin": "*",
+            "Access-Control-Allow-Methods": "POST, OPTIONS",
+            "Access-Control-Allow-Headers": "Content-Type, Authorization",
+        },
+    )
+
+
+def replace_escaped_newlines(input_string: str) -> str:
+    return input_string.replace("\\n", "\n")
+
+
+@app.get("/hf/v1/models")
+async def list_models():
+    return {"object": "list", "data": ALLOWED_MODELS}
+
+
+@app.post("/hf/v1/chat/completions")
+async def chat_completions(
+    request: ChatRequest, app_secret: str = Depends(verify_app_secret)
+):
+    logger.info(f"Received chat completion request for model: {request.model}")
+
+    if request.model not in [model['id'] for model in ALLOWED_MODELS]:
+        raise HTTPException(
+            status_code=400,
+            detail=f"Model {request.model} is not allowed. Allowed models are: {', '.join(model['id'] for model in ALLOWED_MODELS)}",
+        )
+    # Generate a UUID
+    original_uuid = uuid.uuid4()
+    uuid_str = str(original_uuid).replace("-", "")
+
+    # Using the OpenAI API
+    json_data = {
+        'prompt': "\n".join(
+            [
+                f"{'User' if msg.role == 'user' else 'Assistant'}: {msg.content}"
+                for msg in request.messages
+            ]
+        ),
+        'stream': True,
+        'app_name': 'ChitChat_Edge_Ext',
+        'app_version': '4.26.1',
+        'tz_name': 'Asia/Karachi',
+        'cid': '',
+        'model': request.model,
+        'search': False,
+        'auto_search': False,
+        'filter_search_history': False,
+        'from': 'chat',
+        'group_id': 'default',
+        'chat_models': [],
+        'files': [],
+        'prompt_template': {
+            'key': '',
+            'attributes': {
+                'lang': 'original',
+            },
+        },
+        'tools': {
+            'auto': [
+                'search',
+                'text_to_image',
+                'data_analysis',
+            ],
+        },
+        'extra_info': {
+            'origin_url': '',
+            'origin_title': '',
+        },
+    }
+
+    async def generate():
+        async with httpx.AsyncClient() as client:
+            try:
+                async with client.stream('POST', 'https://sider.ai/api/v2/completion/text', headers=headers, json=json_data, timeout=120.0) as response:
+                    response.raise_for_status()
+                    async for line in response.aiter_lines():
+                        if line and ("[DONE]" not in line):
+                            content = json.loads(line[5:])["data"]
+                            yield f"data: {json.dumps(create_chat_completion_data(content.get('text',''), request.model))}\n\n"
+                    yield f"data: {json.dumps(create_chat_completion_data('', request.model, 'stop'))}\n\n"
+                    yield "data: [DONE]\n\n"
+            except httpx.HTTPStatusError as e:
+                logger.error(f"HTTP error occurred: {e}")
+                raise HTTPException(status_code=e.response.status_code, detail=str(e))
+            except httpx.RequestError as e:
+                logger.error(f"An error occurred while requesting: {e}")
+                raise HTTPException(status_code=500, detail=str(e))
+
+    if request.stream:
+        logger.info("Streaming response")
+        return StreamingResponse(generate(), media_type="text/event-stream")
+    else:
+        logger.info("Non-streaming response")
+        full_response = ""
+        async for chunk in generate():
+            if chunk.startswith("data: ") and not chunk[6:].startswith("[DONE]"):
+                # print(chunk)
+                data = json.loads(chunk[6:])
+                if data["choices"][0]["delta"].get("content"):
+                    full_response += data["choices"][0]["delta"]["content"]
+        
+        return {
+            "id": f"chatcmpl-{uuid.uuid4()}",
+            "object": "chat.completion",
+            "created": int(datetime.now().timestamp()),
+            "model": request.model,
+            "choices": [
+                {
+                    "index": 0,
+                    "message": {"role": "assistant", "content": full_response},
+                    "finish_reason": "stop",
+                }
+            ],
+            "usage": None,
+        }
+
+
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+fastapi
+httpx
+pydantic
+pyinstaller
+python-dotenv
+starlette
+uvicorn