Using topic-level controls in Amazon Q Business

You can use topic-level controls to specify special topics within your application. You can configure rules to customize how Amazon Q Business should respond when a chat message matches a special topic. To streamline your application's response, you provide a name and a short description for how the large language model (LLM) should respond based on the topic-specific guardrail you're building. You can configure up to 2 topic-level controls.

Topic-level controls provide fine-grained customization for your application. For example, you can define a global control guardrail that allows your application to generate responses using model knowledge. You can also use a content retrieval rule to limit response generation for specific topics to enterprise content.

The following are the topic-level guardrails that you can customize:

LLM prompt control

You can add up to 5 representative messages that you expect end users to submit about this topic. You can also configure natural language descriptions to define the boundaries of the topic. Amazon Q Business uses these messages to check the responses that it generates for restricted content.

Application behavior rules

You can configure behavior rules that control how Amazon Q Business responds for each special topic that you specify.

Note

You can specify up to 5 rules per special topic.

Rules

• Answer using enterprise data
• Blocking special topics

Answer using enterprise data

When your application encounters a special topic, you can choose to allow it to answer from your enterprise data. If you allow responses from your enterprise data, you can further restrict which data sources in your application that your responses are generated from.

You can also choose to specify the specific users or groups within your application to apply this rule to, using either an inclusion logic or an exclusion logic. You can’t use both kinds of logic at once. If a user is a member of a group with conflicting rules defined, Amazon Q Business will apply the more restrictive rule to that user.

Blocking special topics

When your application encounters a special topic, you can choose to block responses completely. If you do so, you can configure a custom message to display to your end users in response to any mention of blocked words during chat. Use this message to inform your end users that the topic is blocked and provide them with further guidance on next steps.

You can also choose to specify the specific groups within your application to apply this rule to, using either an inclusion logic or an exclusion logic. You can’t use both kinds of logic at once. If a user is a member of a group with conflicting rules defined, Amazon Q Business will apply the more restrictive rule to that user.

Not specifying an inclusion or exclusion logic will result in the rule being applied to all users.

Creating topic controls

To create an Amazon Q Business topic-level control for your web experience chat, you can use AWS Management Console or the UpdateChatControlConfiguration operation. The following tabs provide a procedure for the console and code examples for the AWS CLI.

Console

To create a topic control

1. Sign in to the AWS Management Console and open the Amazon Q Business console.

2. In Applications, select the name of your application from the list of applications.

3. From the left navigation menu, choose Enhancements, and then choose Guardrails.

4. For Guardrails, from Topic specific controls, choose Create topic control.

5. For Create topic specific controls, enter the following information:

   • Name – Enter a name for your topic-specific control.

   • Description – A natural language description for your topic control configuration. Use this to help the LLM better identify queries associated with the topic control you're configuring.

6. For Example chat messages, enter representative phrases that you expect a user to type to invoke this topic. You can add up to 5 messages.

7. (Optional) To configure a rule, choose Add new rule.

8. For Rule 1, enter the following information:

   • In Behavior in response to guardrail, for Behavior – Choose how Amazon Q Business will respond to blocked topics: Answer using enterprise data or Block completely.

   • If you choose Block completely – Choose to include a custom message to inform your end user of restricted topics from chat and suggest follow up actions.

   • If you choose Answer using enterprise data, Data source requirements – Choose data sources that Amazon Q Business will use to generate responses.

9. For User handling, specify the users or groups that this topic control rule applies to and any users or groups that are exempt from this rule.

10. Choose Save.

AWS CLI

To create a topic control

aws qbusiness update-chat-controls-configuration \
--application-id application-id \
--client-token clientToken \
--topic-configurations-to-create-or-update '[{"name":"name","description":"description","exampleChatMessages":["message1", "message2"],"rules":[{"includedUsersAndGroups":{"userIds":["userId1","userId2"],"userGroups":["userGroup1","userGroup2"]},"ruleType": "CONTENT_BLOCKER_RULE","ruleConfiguration":{"contentBlockerRule":{"systemMessageOverride":"custom_message"}}},{"excludedUsersAndGroups":{"userIds":["id1", "id2"],"userGroups":["group1", "group2"]}, "ruleType": "CONTENT_RETRIEVAL_RULE", "ruleConfiguration":{"contentRetrievalRule":{"eligibleDataSources":[{"indexId":"index-id1","dataSourceId":"data-source-id1"},{"indexId":"index-id2","dataSourceId":"data-source-id2"}]}}}]}]' \
--topic-configurations-to-delete '{"name":"existing-topic-name"}'

Note

The user IDs you add to configure topic controls must already exist in your Identity Provider (IdP). You are responsible for validating any user groups you add.