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AWS sagemaker-unified-studio documentation change

Service: sagemaker-unified-studio · 2025-05-10 · Documentation low

File: sagemaker-unified-studio/latest/userguide/nodes.md

Summary

Added 'Agent node' documentation with input/output details and updated section headers

Security assessment

The change adds documentation about a new Agent node feature but does not include security-specific content or address vulnerabilities.

Diff

diff --git a/sagemaker-unified-studio/latest/userguide/nodes.md b/sagemaker-unified-studio/latest/userguide/nodes.md
index 2b0b25d3c..14a207922 100644
--- a//sagemaker-unified-studio/latest/userguide/nodes.md
+++ b//sagemaker-unified-studio/latest/userguide/nodes.md
@@ -5 +5 @@
-Input nodeOutput nodeCollector nodeCondition nodeIterator nodeIterator node outputsPrompt nodeKnowledge Base node
+Input nodeOutput nodeCollector nodeCondition nodeIterator nodeIterator node outputsPrompt nodeKnowledge Base nodeAgent node
@@ -47,0 +48,2 @@ Amazon Bedrock in SageMaker Unified Studio supports a subset of the nodes that a
+  * Agent node
+
@@ -224,0 +227,18 @@ You can assign a guardrail to a knowledge base node. When you create the knowled
+## Agent node
+
+An agent node lets you send a prompt to an agent, which orchestrates between foundation models and associated resources to identify and carry out actions for an end-user. The inputs into the node are the prompt for the agent and any associated prompt or session attributes. For more information, see [Control agent session context](https://docs.aws.amazon.com/bedrock/latest/userguide/agents-session-state.html) in the _Amazon Bedrock user guide_.
+
+### Agent node inputs
+
+Name | Type | Expression  
+---|---|---  
+agentInputText |  String, Number, Boolean, Object, Array |  string  
+promptAttributes |  Object |  string  
+sessionAttributes |  Object |  string  
+  
+### Agent node outputs
+
+Name | Type  
+---|---  
+agentResponse |  String  
+  
@@ -231 +251 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please
-Use logic nodes to control flow
+Use a chat agent app in a flow app