notice

This is documentation for Rasa X Documentation v0.32.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (0.34.x).

Version: 0.32.x

Local Mode

Install and Run

You can install Rasa X on your local machine with

pip3 install rasa-x --extra-index-url https://pypi.rasa.com/simple

From your Rasa assistant's project directory, start it with

rasa x

This should open a browser tab to http://localhost:5002.

Configure Settings

By default, Rasa X will auto-generate a password for you that will be available in the logs. You can set a specific password for Rasa X via the RASA_X_PASSWORD environment variable. For example:

export RASA_X_PASSWORD="my-secure-password"
rasa x

The following arguments can also be used to adapt the server settings:

usage: rasa x [-h] [-v] [-vv] [--quiet] [-m MODEL] [--data DATA] [-c CONFIG]
[--no-prompt] [--production] [--rasa-x-port RASA_X_PORT]
[--config-endpoint CONFIG_ENDPOINT] [--log-file LOG_FILE]
[--endpoints ENDPOINTS] [-p PORT] [-t AUTH_TOKEN]
[--cors [CORS [CORS ...]]] [--enable-api]
[--response-timeout RESPONSE_TIMEOUT]
[--remote-storage REMOTE_STORAGE]
[--ssl-certificate SSL_CERTIFICATE] [--ssl-keyfile SSL_KEYFILE]
[--ssl-ca-file SSL_CA_FILE] [--ssl-password SSL_PASSWORD]
[--credentials CREDENTIALS] [--connector CONNECTOR]
[--jwt-secret JWT_SECRET] [--jwt-method JWT_METHOD]
optional arguments:
-h, --help show this help message and exit
-m MODEL, --model MODEL
Path to a trained Rasa model. If a directory is
specified, it will use the latest model in this
directory. (default: models)
--data DATA Path to the file or directory containing stories and
Rasa NLU data. (default: data)
-c CONFIG, --config CONFIG
The policy and NLU pipeline configuration of your bot.
(default: config.yml)
--no-prompt Automatic yes or default options to prompts and
oppressed warnings. (default: False)
--production Run Rasa X in a production environment. (default:
False)
--rasa-x-port RASA_X_PORT
Port to run the Rasa X server at. (default: 5002)
--config-endpoint CONFIG_ENDPOINT
Rasa X endpoint URL from which to pull the runtime
config. This URL typically contains the Rasa X token
for authentication. Example:
https://example.com/api/config?token=my_rasa_x_token
(default: None)
--log-file LOG_FILE Store logs in specified file. (default: None)
--endpoints ENDPOINTS
Configuration file for the model server and the
connectors as a yml file. (default: None)
Python Logging Options:
-v, --verbose Be verbose. Sets logging level to INFO. (default:
None)
-vv, --debug Print lots of debugging statements. Sets logging level
to DEBUG. (default: None)
--quiet Be quiet! Sets logging level to WARNING. (default:
None)
Server Settings:
-p PORT, --port PORT Port to run the server at. (default: 5005)
-t AUTH_TOKEN, --auth-token AUTH_TOKEN
Enable token based authentication. Requests need to
provide the token to be accepted. (default: None)
--cors [CORS [CORS ...]]
Enable CORS for the passed origin. Use * to whitelist
all origins. (default: None)
--enable-api Start the web server API in addition to the input
channel. (default: False)
--response-timeout RESPONSE_TIMEOUT
Maximum time a response can take to process (sec).
(default: 3600)
--remote-storage REMOTE_STORAGE
Set the remote location where your Rasa model is
stored, e.g. on AWS. (default: None)
--ssl-certificate SSL_CERTIFICATE
Set the SSL Certificate to create a TLS secured
server. (default: None)
--ssl-keyfile SSL_KEYFILE
Set the SSL Keyfile to create a TLS secured server.
(default: None)
--ssl-ca-file SSL_CA_FILE
If your SSL certificate needs to be verified, you can
specify the CA file using this parameter. (default:
None)
--ssl-password SSL_PASSWORD
If your ssl-keyfile is protected by a password, you
can specify it using this paramer. (default: None)
Channels:
--credentials CREDENTIALS
Authentication credentials for the connector as a yml
file. (default: None)
--connector CONNECTOR
Service to connect to. (default: None)
JWT Authentication:
--jwt-secret JWT_SECRET
Public key for asymmetric JWT methods or shared
secretfor symmetric methods. Please also make sure to
use --jwt-method to select the method of the
signature, otherwise this argument will be ignored.
(default: None)
--jwt-method JWT_METHOD
Method used for the signature of the JWT
authentication payload. (default: HS256)

Share your bot in local mode

In order to share your bot you’ll need to make your locally running Rasa X server available to external traffic. You can do this using ngrok.

You can download and install ngrok for free. Once it is installed, open a new terminal window and run:

ngrok http 5002

This will create a public HTTPS url for your locally running Rasa X server, given that it is running at the default port (if not, change the command above).

You should see something like this:

Session Status online
Session Expires 7 hours, 59 minutes
Version 2.3.35
Region United States (us)
Web Interface http://127.0.0.1:4041
Forwarding http://831897ef2f98.ngrok.io -> http://localhost:5002
Forwarding https://831897ef2f98.ngrok.io -> http://localhost:5002
Connections ttl opn rt1 rt5 p50 p90
0 0 0.00 0.00 0.00 0.00

To share your bot, replace the http://localhost:5002 portion of your Share your Bot link with the https forwarding address from ngrok. Your link should then look something like this: https://831897ef2f98.ngrok.io/guest/conversations/production/29fbd34c2a06481f . From there you can follow the instructions for sharing your bot as usual.

Keep in mind that ngrok has limits on free usage and this is not a production set up.