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import httpx
from fastapi import FastAPI, Request, HTTPException
from starlette.responses import StreamingResponse
from starlette.background import BackgroundTask
import os
from contextlib import asynccontextmanager
# --- Configuration ---
# The target URL is configurable via an environment variable.
TARGET_URL = os.getenv("TARGET_URL", "https://api.gmi-serving.com/v1/chat")
# --- HTTPX Client Lifecycle Management ---
@asynccontextmanager
async def lifespan(app: FastAPI):
"""
Manages the lifecycle of the HTTPX client.
The client is created on startup and gracefully closed on shutdown.
WARNING: This client has no timeout and no explicit connection pool limits.
"""
# timeout=None disables all client-side timeouts.
# The absence of a `limits` parameter means we rely on system defaults.
async with httpx.AsyncClient(base_url=TARGET_URL, timeout=None) as client:
app.state.http_client = client
yield
# Initialize the FastAPI app with the lifespan manager and disable default docs
app = FastAPI(docs_url=None, redoc_url=None, lifespan=lifespan)
# --- Reverse Proxy Logic ---
async def _reverse_proxy(request: Request):
"""
Forwards a request specifically for the /completions endpoint to the target URL.
It injects required headers and allows for a user-provided Authorization header.
"""
client: httpx.AsyncClient = request.app.state.http_client
# Construct the URL for the outgoing request using the incoming path and query.
url = httpx.URL(path=request.url.path, query=request.url.query.encode("utf-8"))
# --- Header Processing ---
# Start with headers from the incoming request.
request_headers = dict(request.headers)
# 1. CRITICAL: Remove host header.
# The 'host' header is managed by httpx.
request_headers.pop("host", None)
# 2. Get the user's authorization key from the incoming request.
authorization_header = request.headers.get("authorization")
# 3. Set the specific, required headers for the target API.
# This will overwrite any conflicting headers from the original request.
specific_headers = {
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.9,ru;q=0.8",
"content-type": "application/json",
"origin": "https://console.gmicloud.ai",
"priority": "u=1, i",
"referer": "https://console.gmicloud.ai/playground/llm/deepseek-r1-0528/01da5dd6-aa6a-40cb-9dbd-241467aa5cbb?tab=playground",
"sec-ch-ua": '"Not;A=Brand";v="99", "Google Chrome";v="139", "Chromium";v="139"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Windows"',
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Safari/537.36",
}
request_headers.update(specific_headers)
# 4. Add the user's authorization key to the headers if it exists.
if authorization_header:
request_headers["authorization"] = authorization_header
# Build the final request to the target service.
rp_req = client.build_request(
method=request.method,
url=url,
headers=request_headers,
content=await request.body(),
)
try:
# Send the request and get a streaming response.
rp_resp = await client.send(rp_req, stream=True)
except httpx.ConnectError as e:
# This error occurs if the target service is down or unreachable.
raise HTTPException(status_code=502, detail=f"Bad Gateway: Cannot connect to target service. {e}")
# Stream the response from the target service back to the original client.
return StreamingResponse(
rp_resp.aiter_raw(),
status_code=rp_resp.status_code,
headers=rp_resp.headers,
background=BackgroundTask(rp_resp.aclose),
)
# --- API Endpoint ---
@app.api_route(
"/completions",
methods=["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"]
)
async def chat_proxy_handler(request: Request):
"""
This endpoint captures requests specifically for the "/completions" path
and forwards them through the reverse proxy.
"""
return await _reverse_proxy(request)
# A simple root endpoint for health checks.
@app.get("/")
async def health_check():
"""Provides a basic health check endpoint."""
return {"status": "ok", "proxying_endpoint": "/completions", "target": "TypeGPT"}
# Any request to a path other than "/completions" or "/" will result in a 404 Not Found.