Version: Latest

Config and endpoints

Introduction

As an administrator, you can configure Rasa Studio to suit your organization's needs.

Access

Only the users with developer roles are able to access config and endpoints files.

Configuration

  1. Log in to Rasa Studio as a user with the developer role.

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  2. Create or select an assistant you want to configure (only works with MODERN assistants).

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  3. Navigate to the "Assistant settings" page.

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  4. Click on the "General settings" tab. Here, you will find general information for your assistant like Assistant name and Assistant API ID. These settings aren't editable.

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  5. Click on the "Configuration" tab. Here, you will find editors for the default config.yml and endpoints.yml files."

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Additionally, there is an option to "Always include the following flows in the prompt." This feature ensures that selected flows are always considered by the LLM during dialogue management, regardless of other constraints. This is particularly useful for flows that are crucial to the assistant's functionality and need to be readily available during conversations. For more details on flow retrieval, please refer to the Retrieving Relevant Flows documentation.

Configuration Files

You can configure LLMs and their deployments, embeddings, NLU, Core, and Action server in these files.

Config

The config.yml file is central to configuring your assistant's behavior. It allows you to customize:

  • NLU (Natural Language Understanding) components
  • Core model settings
  • Training pipeline
  • Policies
  • LLM (Large Language Model) configurations and deployments
  • Embedding settings

Endpoints

The endpoints.yml file specifies various service endpoints used by Rasa Studio, including:

Further Reading

For more detailed information on config.yml and endpoints.yml files, refer to the Rasa Pro documentation on model configuration.