app.py

import requests
import json

# Define the request URL
url = "https://prod-backend-k8s.flowgpt.com/v3/chat"


# Define the headers
headers = {
    "Authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IklUMU5Lb2ItOFBsY3ZJdGd2NWRIaiIsImVtYWlsIjoiYWxob29yc2hvcHBAZ21haWwuY29tIiwic3ViIjoiSVQxTktvYi04UGxjdkl0Z3Y1ZEhqIiwiaWF0IjoxNzM0MDA2NTczLjQ1OSwiZXhwIjoxNzM0NjExMzczfQ.oWcKiEshQs8HmW33Qyq27YSVDfGhXEcf9_L4TXcULAvHmZgO8u43Nr21ti9gtJ7xT46AGS42ag8OFF0AaEEoo1nvhA-uFEjziG_9sOcml5qf3uagE-3mBHRFmTYaMYN_t0ZgJ54WNd49lDjFeUnwZUna1wHxlNXG5ZelHCO7K7Dv42SAB4kdp5FTBzCtjsdR3Aqjoby83NqeYD6GlwlWS1cUENvjjHmeESGF6Z1Atgbmi29QHShARc0MvX9zi1B4LjXpPspP5c4nj2TyzK6SxfAujzE5r4zICrcFLHQ1-C95SmP-YsIo-jfnFOZw2iI6fQeMQsDUgZ396Xqp2wAOqg",
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
    "x-aws-waf-token": "c4793f6b-6053-4579-9aac-20201e40a3c7:EgoAv3JYmYYAAgAA:/LldKzen8O3QvI/ZxhLDujp8q3rJiPMGNWmGf3dwCoMfvoIImxhyxVIyHtllJ+dgNWpOGvLLD+bB9SMVg4Tf/VK+5wBSf8g7ATgIJ5y4gE1hiTDxZe6Zpab5QglNY7mtMkuzIsvBlqiDip4DtzOeA03d8C5LT7Y0Ea1/tU/O+Pjq/SncnArmsF3ztj60aN6uCfJ3Vh2/m97TkOw4IWMbRRD9kkelx7Uvqy1POgF/D0qI+OfhMad7MKMsFg==",
    "x-flow-device-id": "xqGy17TUy56Ekt4Nsr4np",
    "x-nonce": "6bb24d8ce5e09df641c8217f250bd8ab",
    "x-signature": "a0f9a9350d566b207804d722421f8914",
    "x-timestamp": "1734007773"
}

# Define the payload
payload = {
    "documentIds": [],
    "generateAudio": True,
    "generateImage": False,
    "history": [{"role": "assistant", "content": "Hello There !"}],
    "content": "Hello There !",
    "role": "assistant",
    "model": "deepseek-chat",
    "nsfw": False,
    "promptId": "O9jUyVB4crxHKegm6stS6",
    "question": "اهلا",
    "system": "you are AI Model From Libyan Team (CORVO AI)\n\nyou are the next model after ALEX-9\n\nand your current name is ALEX-9 Pro\n\nchat with users and be Funny smart and powerful OF AI",
    "temperature": 0.7,
    "userId": "IT1NKob-8PlcvItgv5dHj"
}

# Send the POST request
response = requests.post(url, headers=headers, json=payload)

# Print the response text
print(response.text)