Basic tool (based on Locust.io) to perform load test of Rasa based chatbot via REST API.

We use it to test our bots and create fact-based sizing calculators.

1. You should have Rasa bot :)
2. You should enable Rasa REST API endpoint (see Rasa docs on how to do it - final method depends on your deployment method)
3. Bot's REST API endpoint should be acessable via network

• Python 3
• Locust.io

python -m venv venv
source venv/bin/activate

install -r requirements.txt

Correct REST API URL in rasa-rest-explode-brain.py (it depends on your Rasa installation)

Common RasaX endpoint: /core/webhooks/rest/webhook

Common Rasa Open Source endpoint: webhooks/rest/webhook

Launch Locust:

locust -f rasa-rest-explode-brain.py

then open Locust Web UI http://127.0.0.1:8089, enter number of Users, Hatch rate and your Rasa host (e.g. http://localhost:5005) and press 'Start swarming'

I've used this dataset to generate Rasa configuration with some Python scripts (150 intents with 100 training phrases each = 15 000 phrases and 150 generated stories with length=6 steps)

With this stress test i've managed to get stable 300 concurrent users, ±45 rps, with response time around 370ms (95th percentile) - which is pretty impressive imho.

Testing environment: MacBook Pro 13 2017 with launched in parallel VSCode, MS Teams, Safari, Mail, etc.