An SDK for developing Webex Assistant Skills based on the MindMeld platform.

pip install webex_assistant_sdk

To use the SDK we just need to import SkillApplication and pass in the RSA private key as well as the secret for verifying the request's header.

Here is an example implementation which is found in the tests folder:

import os

from webex_assistant_sdk import SkillApplication
from webex_assistant_sdk.crypto import load_private_key_from_dir

secret = 'some secret'
key = load_private_key_from_dir(os.path.realpath(os.path.dirname(__file__)), password=None)
app = SkillApplication(__name__, secret=secret, private_key=key)

__all__ = ['app']

Similar to MindMeld applications, for development convenience, we have included a Flask server for you to test your application.

To run the development server you can use the run command: python -m [app] run.

We do not recommend using the development server for production purpose. To learn more about productionizing Flask application, please check Deployment Options.

The SkillApplication adds a introduce decorator in addition to MindMeld's build in decorator. This is used to mark the dialogue state to use when a user calls a skill without any command, i.e. "talk to "

@app.introduce
def introduction(request, responder):
    pass

To debug the server and turn off encryption/decryption, you can set the environment variable WXA_SKILL_DEBUG to be True.

Installing the webex_assistant_sdk package adds a wxa_sdk command line application. Use the -h argument for help.

$ wxa_sdk -h
usage: wxa_sdk [-h] {new,generate-keys,invoke} ...

positional arguments:
  {new,generate-keys,invoke}
    new                 create a new skill project
    generate-keys       generate keys for use with a Webex Assistant Skill
    invoke              invoke a skill simulating a request from Webex
                        Assistant

optional arguments:
  -h, --help            show this help message and exit