|
|
# Imports |
|
|
import openai |
|
|
import json |
|
|
from flask import Flask, request, jsonify |
|
|
from functools import wraps |
|
|
import re |
|
|
import requests |
|
|
|
|
|
## Define Flask app |
|
|
app = Flask(__name__) |
|
|
|
|
|
################################################## |
|
|
################################################## |
|
|
# |
|
|
# ⚠️ CAUTION: This is an HTTP-only server! |
|
|
# |
|
|
# If you don't know what you're doing, don't run |
|
|
# |
|
|
################################################## |
|
|
################################################## |
|
|
|
|
|
## Setup |
|
|
|
|
|
## Did I mention this is HTTP only? Don't run this on the public internet. |
|
|
|
|
|
## Set authentication on your APIs |
|
|
## Let's at least have some kind of auth |
|
|
|
|
|
# Load your OpenAI API key from a file |
|
|
with open("openai.key", "r") as key_file: |
|
|
openai.api_key = key_file.read().strip() |
|
|
|
|
|
## Define our own client |
|
|
client = openai.OpenAI(api_key = openai.api_key) |
|
|
|
|
|
|
|
|
# Read API tokens from the apikeys.json file |
|
|
with open("fabric_api_keys.json", "r") as tokens_file: |
|
|
valid_tokens = json.load(tokens_file) |
|
|
|
|
|
|
|
|
# The function to check if the token is valid |
|
|
def auth_required(f): |
|
|
@wraps(f) |
|
|
def decorated_function(*args, **kwargs): |
|
|
# Get the authentication token from request header |
|
|
auth_token = request.headers.get("Authorization", "") |
|
|
|
|
|
# Remove any bearer token prefix if present |
|
|
if auth_token.lower().startswith("bearer "): |
|
|
auth_token = auth_token[7:] |
|
|
|
|
|
# Get API endpoint from request |
|
|
endpoint = request.path |
|
|
|
|
|
# Check if token is valid |
|
|
user = check_auth_token(auth_token, endpoint) |
|
|
if user == "Unauthorized: You are not authorized for this API": |
|
|
return jsonify({"error": user}), 401 |
|
|
|
|
|
return f(*args, **kwargs) |
|
|
|
|
|
return decorated_function |
|
|
|
|
|
|
|
|
# Check for a valid token/user for the given route |
|
|
def check_auth_token(token, route): |
|
|
# Check if token is valid for the given route and return corresponding user |
|
|
if route in valid_tokens and token in valid_tokens[route]: |
|
|
return valid_tokens[route][token] |
|
|
else: |
|
|
return "Unauthorized: You are not authorized for this API" |
|
|
|
|
|
|
|
|
# Define the allowlist of characters |
|
|
ALLOWLIST_PATTERN = re.compile(r"^[a-zA-Z0-9\s.,;:!?\-]+$") |
|
|
|
|
|
|
|
|
# Sanitize the content, sort of. Prompt injection is the main threat so this isn't a huge deal |
|
|
def sanitize_content(content): |
|
|
return "".join(char for char in content if ALLOWLIST_PATTERN.match(char)) |
|
|
|
|
|
|
|
|
# Pull the URL content's from the GitHub repo |
|
|
def fetch_content_from_url(url): |
|
|
try: |
|
|
response = requests.get(url) |
|
|
response.raise_for_status() |
|
|
sanitized_content = sanitize_content(response.text) |
|
|
return sanitized_content |
|
|
except requests.RequestException as e: |
|
|
return str(e) |
|
|
|
|
|
|
|
|
## APIs |
|
|
|
|
|
|
|
|
# /extwis |
|
|
@app.route("/extwis", methods=["POST"]) |
|
|
@auth_required # Require authentication |
|
|
def extwis(): |
|
|
data = request.get_json() |
|
|
|
|
|
# Warn if there's no input |
|
|
if "input" not in data: |
|
|
return jsonify({"error": "Missing input parameter"}), 400 |
|
|
|
|
|
# Get data from client |
|
|
input_data = data["input"] |
|
|
|
|
|
# Set the system and user URLs |
|
|
system_url = "https://raw.githubusercontent.com/danielmiessler/fabric/main/patterns/extract_wisdom/system.md" |
|
|
user_url = "https://raw.githubusercontent.com/danielmiessler/fabric/main/patterns/extract_wisdom/user.md" |
|
|
|
|
|
# Fetch the prompt content |
|
|
system_content = fetch_content_from_url(system_url) |
|
|
user_file_content = fetch_content_from_url(user_url) |
|
|
|
|
|
# Build the API call |
|
|
system_message = {"role": "system", "content": system_content} |
|
|
user_message = {"role": "user", "content": user_file_content + "\n" + input_data} |
|
|
messages = [system_message, user_message] |
|
|
try: |
|
|
response = openai.chat.completions.create( |
|
|
model="gpt-4-1106-preview", |
|
|
messages=messages, |
|
|
temperature=0.0, |
|
|
top_p=1, |
|
|
frequency_penalty=0.1, |
|
|
presence_penalty=0.1, |
|
|
) |
|
|
assistant_message = response.choices[0].message.content |
|
|
return jsonify({"response": assistant_message}) |
|
|
except Exception as e: |
|
|
return jsonify({"error": str(e)}), 500 |
|
|
|
|
|
# Run the application |
|
|
if __name__ == "__main__": |
|
|
app.run(host="127.0.0.1", port=13337, debug=True)
|
|
|
|