Splunk AppDynamics Python Agent helps you monitor the AWS Bedrock usage and related metrics. It monitors the converse and converse_stream requests created using the Boto3 library.

The following metrics are reported at the application, tier, and node levels:

• Input Tokens
• Completion Tokens
• Tokens
• Latency
• Calls per minute

Prerequisites

Python agent supports the Boto3 for AWS Bedrock in Splunk AppDynamics. For more information, see Boto3 documentation.

Ensure that you meet the following prerequisites to monitor the AWS Bedrock exit calls with Splunk AppDynamics:

• Install Python Agent 25.1.0 or later. See Install Python Agent.
• Set the enable-bedrock flag to true in /path/to/appdynamics.cfg file of the Python Agent. See [instrumentation].
• Import custom dashboards and templates.

Create a Custom Dashboard

1. Download Custom_dashboard_script.zip It contains:
   

   Directory	Description
   templates	Contains json templates to create the dashboard files.
   dashboard	Dashboard json files are created here. It contains the sample json files.
   main.py	Python script to create the dashboards.
   readme.md	Description of the solution.

    

2. Run the following command:

   cd Custom_dashboard_script
   python3 main.py

   CODE

   The preceding command prompts you to specify the dashboard type (application or tier) that you want to create.

3. Based on your selected dashboard type, you will be prompted to specify the following dashboard details.
   

   Variable	Description	Default	Possible Values	Required
   Dashboard Name	Dashboard Title that is displayed in Dashboard and Reports.	bedrock_app_dashboard	bedrock_app_dashboard	Optional
   Application Name	Name of the Application with bedrock backend calls.	bedrock_app	None	Yes

   
   

   
   

   Variable	Description	Default	Possible Values	Required
   Dashboard Name	Dashboard Title that is displayed in Dashboard and Reports.	bedrock_app_dashboard	bedrock_app_dashboard	Optional
   Application Name	Name of the Application with bedrock backend calls.	bedrock_app	None	Yes
   Model Name	Name of the Model which you want to monitor.	amazon-titan-dashbaord	None	Yes

   
   

   

   If Model Name has special characters, you must replace them with hyphens ( - ). For example, if the model name is "amazon-titan-lite:1", change the name to "amazon-titan-lite-1".

   
   

   
   

    

4. Import the dashboard in the Controller UI. See Create and Manage Custom Dashboards and Templates.

Navigate to Tiers & Nodes > My Dashboards and create a dashboard for the selected application by copying and pasting widgets from the existing dashboard for easier navigation.