AWS bedrock documentation change
Summary
Added alt text descriptions for all icons throughout the document to improve accessibility. Updated image references to include descriptive text for checkmarks (green circle with white checkmark) and X icons (red circle with white X).
Security assessment
The changes consist exclusively of adding accessibility-focused alt text to visual indicators. No security vulnerabilities, features, or configurations are mentioned or modified. The content about security-related features like Guardrails and Abuse Detection remains unchanged except for icon accessibility improvements.
Diff
diff --git a/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md b/bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md index b3f447007..60022dae9 100644 --- a//bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md +++ b//bedrock/latest/userguide/model-card-meta-llama-4-scout-17b-instruct.md @@ -7 +7 @@ -Meta — Llama 4 Scout 17B InstructModel DetailsCapabilities and FeaturesPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code +Blue infinity symbol or figure-eight icon on white background. Meta — Llama 4 Scout 17B InstructModel DetailsCapabilities and FeaturesPricingProgrammatic AccessService TiersRegional AvailabilityQuotas and LimitsSample Code @@ -11 +11 @@ Meta — Llama 4 Scout 17B InstructModel DetailsCapabilities and FeaturesPricing -##  Meta — Llama 4 Scout 17B Instruct +##  Meta — Llama 4 Scout 17B Instruct @@ -36,5 +36,5 @@ Llama 4 Scout is Meta's 17-billion active parameter mixture-of-experts model wit - Audio|  Embedding|  `Responses`|  `bedrock-runtime` - Image|  Image|  `Chat Completions`|  `bedrock-mantle` - Speech|  Speech|  `Invoke`| - Text|  Text|  `Converse`| - Video|  Video| | + Audio|  Embedding|  `Responses`|  `bedrock-runtime` + Image|  Image|  `Chat Completions`|  `bedrock-mantle` + Speech|  Speech|  `Invoke`| + Text|  Text|  `Converse`| + Video|  Video| | @@ -51,5 +51,5 @@ Llama 4 Scout is Meta's 17-billion active parameter mixture-of-experts model wit - *  [Response streaming](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html) - *  [Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html) - *  [Prompt management](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html) - *  [Flows](https://docs.aws.amazon.com/bedrock/latest/userguide/flows.html) - *  [Agents](https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html) + *  [Response streaming](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_InvokeModelWithResponseStream.html) + *  [Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html) + *  [Prompt management](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management.html) + *  [Flows](https://docs.aws.amazon.com/bedrock/latest/userguide/flows.html) + *  [Agents](https://docs.aws.amazon.com/bedrock/latest/userguide/agents.html) @@ -59,7 +59,7 @@ Llama 4 Scout is Meta's 17-billion active parameter mixture-of-experts model wit - *  [Intelligent prompt routing](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-routing.html) - *  [Abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html) - *  [Prompt optimization](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-optimize.html) - *  [Count tokens](https://docs.aws.amazon.com/bedrock/latest/userguide/count-tokens.html) - *  [Knowledge base](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html) - *  [Model evaluation](https://docs.aws.amazon.com/bedrock/latest/userguide/evaluation.html) - *  [Structured outputs](https://docs.aws.amazon.com/bedrock/latest/userguide/structured-outputs.html) + *  [Intelligent prompt routing](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-routing.html) + *  [Abuse detection](https://docs.aws.amazon.com/bedrock/latest/userguide/abuse-detection.html) + *  [Prompt optimization](https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-optimize.html) + *  [Count tokens](https://docs.aws.amazon.com/bedrock/latest/userguide/count-tokens.html) + *  [Knowledge base](https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base.html) + *  [Model evaluation](https://docs.aws.amazon.com/bedrock/latest/userguide/evaluation.html) + *  [Structured outputs](https://docs.aws.amazon.com/bedrock/latest/userguide/structured-outputs.html) @@ -89 +89 @@ Amazon Bedrock offers multiple service tiers to match your workload requirements - |  |  |  + |  |  |  @@ -99,4 +99,4 @@ Bedrock offers three inference options: **In-Region** keeps requests within a si -`us-east-1` (N. Virginia)| | |  -`us-east-2` (Ohio)| | |  -`us-west-1` (N. California)| | |  -`us-west-2` (Oregon)| | |  +`us-east-1` (N. Virginia)| | |  +`us-east-2` (Ohio)| | |  +`us-west-1` (N. California)| | |  +`us-west-2` (Oregon)| | | 