AWS bedrock-agentcore documentation change
Summary
Formatting changes: replaced markdown heading syntax (######) with bold text (**) for section titles, updated apostrophes to curly apostrophes, and added a 'Topics' section with a link to a related system prompt page.
Security assessment
The changes are purely stylistic and organizational. There is no mention of vulnerabilities, security patches, access controls, data protection, or any security-related features. The addition of a 'Topics' section is for navigation and does not introduce security content.
Diff
diff --git a/bedrock-agentcore/latest/devguide/user-preference-memory-strategy.md b/bedrock-agentcore/latest/devguide/user-preference-memory-strategy.md index 9cb3052a7..e61c4899f 100644 --- a//bedrock-agentcore/latest/devguide/user-preference-memory-strategy.md +++ b//bedrock-agentcore/latest/devguide/user-preference-memory-strategy.md @@ -9 +9 @@ The `UserPreferenceMemoryStrategy` is designed to automatically identify and ext -###### Steps in the strategy +**Steps in the strategy** @@ -24 +24 @@ The user preference strategy processes only `USER` and `ASSISTANT` role messages -###### Strategy output +**Strategy output** @@ -28 +28 @@ The user preference strategy returns JSON objects with context, preference, and -###### Examples of insights captured by this strategy include: +**Examples of insights captured by this strategy include:** @@ -30 +30 @@ The user preference strategy returns JSON objects with context, preference, and - * A customer's preferred shipping carrier or shopping brand. + * A customer’s preferred shipping carrier or shopping brand. @@ -32 +32 @@ The user preference strategy returns JSON objects with context, preference, and - * A developer's preferred coding style or programming language. + * A developer’s preferred coding style or programming language. @@ -34 +34 @@ The user preference strategy returns JSON objects with context, preference, and - * A user's communication preferences, such as a formal or informal tone. + * A user’s communication preferences, such as a formal or informal tone. @@ -39 +39 @@ The user preference strategy returns JSON objects with context, preference, and -By leveraging this strategy, your agent can deliver highly personalized experiences, such as offering tailored recommendations, adapting its responses to a user's style, and anticipating needs based on past choices. This creates a more relevant and effective conversational experience. +By leveraging this strategy, your agent can deliver highly personalized experiences, such as offering tailored recommendations, adapting its responses to a user’s style, and anticipating needs based on past choices. This creates a more relevant and effective conversational experience. @@ -41 +41 @@ By leveraging this strategy, your agent can deliver highly personalized experien -###### Default namespace +**Default namespace** @@ -44,0 +45,7 @@ By leveraging this strategy, your agent can deliver highly personalized experien +###### Topics + + * [System prompt for user preference memory strategy](./memory-user-prompt.html) + + + +