Rasa CI/CD Pipeline Documentation

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When improving your assistant, you’ll make different kinds of fixes to your bot. To automate the testing and integration of these improvements into your deployed assistant, you should set up a CI/CD (Continuous Integration/Continuous Deployment) pipeline on your connected git repository.

For example, you could add a step in your pipeline that pushes a newly trained model to Rasa Enterprise every time a change is merged into your main branch. For more information on setting up a CI/CD pipeline, check out the Rasa Open Source user guide on CI/CD.

Here are a few examples of CI/CD pipelines in Github Actions to get you started:

• The rasa-demo CI/CD pipeline includes the following steps; some are conditional:
  • Lints and type-tests the action code
  • Validates the data
  • Runs NLU cross-validation
  • Trains a model
  • Tests the model on test conversations
  • Builds and tags an action image
  • Pushes the action image to a private Google Cloud Container Registry
• This example includes some of the steps above, but with fewer conditions:
  • carbon-bot
• This example includes the steps above, but also includes steps to create an AWS EKS cluster and deploy the bot there:
  • financial-demo