File size: 1,348 Bytes
d3e86e7
 
 
 
 
 
372d7a8
d3e86e7
372d7a8
5d52377
d3e86e7
372d7a8
d3e86e7
 
372d7a8
d3e86e7
372d7a8
d3e86e7
 
372d7a8
d3e86e7
 
 
 
 
 
 
0604f3f
 
 
 
 
 
 
 
 
 
d3e86e7
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
from flask import Flask, request, jsonify
import os
import requests

app = Flask(__name__)

# Load environment variables
API_KEY = os.getenv("OPENAI_API_KEY")
FAKE_KEY = os.getenv("FAKE_KEY", "fake-key")  # Default to "fake-key" if not set
BASE_URL = "https://api.typegpt.net"

# Proxy endpoint to OpenAI's API
@app.route("/<path:endpoint>", methods=["POST"])
def proxy(endpoint):
    # Verify the client's fake API key
    client_key = request.headers.get("Authorization")
    if client_key != f"Bearer {FAKE_KEY}":
        return jsonify({"error": "Unauthorized"}), 401

    # Forward request to OpenAI
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    data = request.get_json()
    response = requests.post(f"{BASE_URL}/{endpoint}", headers=headers, json=data)

    # Handle non-JSON responses
    try:
        response_json = response.json()
    except requests.exceptions.JSONDecodeError:
        # Log the raw response text for debugging
        print("Non-JSON response:", response.text)
        return jsonify({"error": "Invalid response from OpenAI API", "details": response.text}), response.status_code

    # Return the OpenAI response if it's JSON
    return jsonify(response_json), response.status_code

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=5000)