AWS bedrock documentation change

Service: bedrock · 2025-11-19 · Documentation low

File: bedrock/latest/userguide/inference-invoke.md

Summary

Added documentation for service tier parameter in model invocation examples and CLI commands

Security assessment

The changes introduce a 'serviceTier' parameter for performance/cost optimization without any security context. No security features, vulnerabilities, or access controls are mentioned. The examples demonstrate prioritization of requests rather than security-related functionality.

Diff

diff --git a/bedrock/latest/userguide/inference-invoke.md b/bedrock/latest/userguide/inference-invoke.md
index d7b698176..8f7e96b53 100644
--- a//bedrock/latest/userguide/inference-invoke.md
+++ b//bedrock/latest/userguide/inference-invoke.md
@@ -47,0 +48 @@ trace | To specify whether to return the trace for the guardrail you specify. Fo
+serviceTier | To specify the service tier for a request. For more information, see [Service tiers for optimizing performance and cost](./service-tiers-inference.html).  
@@ -149,0 +151,66 @@ Run the following Python code example to generate a text response:
+The following examples generate a text response to a text prompt using the OpenAI GPT model with a service tier to prioritize the request. Choose the tab for your preferred method, and then follow the steps:
+
+CLI
+    
+
+Run the following command in a terminal and validate the service tier in the response.
+    
+    
+    aws bedrock-runtime invoke-model \
+        --model-id openai.gpt-oss-120b-1:0 \
+        --body '{
+            "messages": [
+                {
+                    "role": "user",
+                    "content": "Describe the purpose of a '\''hello world'\'' program in one line."
+                }
+            ],
+            "max_tokens": 512,
+            "temperature": 0.7
+        }' \
+        --content-type application/json \
+        --accept application/json \
+        --service-tier priority \
+        --cli-binary-format raw-in-base64-out
+
+Python
+    
+
+Run the following Python code example to generate a text response with service tier:
+    
+    
+    import boto3
+    import json
+    
+    # Create a Bedrock Runtime client
+    bedrock_runtime = boto3.client(
+        service_name="bedrock-runtime",
+        region_name="us-east-1"
+    )
+    
+    # Define the model ID and request body
+    model_id = "openai.gpt-oss-120b-1:0"
+    body = json.dumps({
+        "messages": [
+            {
+                "role": "user",
+                "content": "Describe the purpose of a 'hello world' program in one line."
+            }
+        ],
+        "max_tokens": 512,
+        "temperature": 0.7
+    })
+    
+    # Make the request with service tier
+    response = bedrock_runtime.invoke_model(
+        modelId=model_id,
+        body=body,
+        contentType="application/json",
+        accept="application/json",
+        serviceTier="priority"
+    )
+    
+    # Parse and print the response
+    response_body = json.loads(response["body"])
+    print(response_body)
+