🇪🇺 Static IP for Black Forest Labs

# .env or shell
HTTPS_PROXY=https://user:pass@eu-01.outboundgateway.com:8443
BFL_API_KEY=your_api_key

import os, time
import requests

headers = {"Authorization": f"Bearer {os.environ['BFL_API_KEY']}"}

# 1) Submit the generation request (routes through HTTPS_PROXY)
resp = requests.post(
    "https://api.bfl.ai/v1/flux-pro-1.1",
    headers=headers,
    json={"prompt": "A serene black forest at dawn"},
)
request_id = resp.json()["id"]

# 2) Poll for the result (also routes through HTTPS_PROXY)
while True:
    status = requests.get(f"https://api.bfl.ai/v1/get_result?id={request_id}", headers=headers).json()
    if status["status"] == "Ready":
        print(status["result"]["sample"])
        break
    time.sleep(2)

// .env or shell
HTTPS_PROXY=https://user:pass@eu-01.outboundgateway.com:8443
BFL_API_KEY=your_api_key

const { HttpsProxyAgent } = require('https-proxy-agent');

const agent = new HttpsProxyAgent(process.env.HTTPS_PROXY);
const headers = { 'Authorization': `Bearer ${process.env.BFL_API_KEY}` };

// Submit the generation request (routes through your static EU IP)
const res = await fetch('https://api.bfl.ai/v1/flux-pro-1.1', {
  method: 'POST',
  headers,
  body: JSON.stringify({ prompt: 'A serene black forest at dawn' }),
  agent,
});

const { id } = await res.json();
console.log(`Tracking request ${id}`);

# Docker Compose: reference a .env file (never hardcode secrets)
services:
  app:
    env_file:
      - .env

# Kubernetes: use a Secret object
env:
  - name: HTTPS_PROXY
    valueFrom:
      secretKeyRef:
        name: outboundgateway-proxy
        key: proxy-url

# AWS Lambda: set in function environment variables
HTTPS_PROXY=${OUTBOUNDGATEWAY_PROXY_URL}