Starting a AgentCore Code Interpreter session - Amazon Bedrock AgentCore

Amazon Bedrock AgentCore is in preview release and is subject to change.

Starting a AgentCore Code Interpreter session

After creating a Code Interpreter, you can start a session to execute code.

AWS CLI

To start a Code Interpreter session using the AWS CLI, use the start-code-interpreter-session command:

aws bedrock-agentcore start-code-interpreter-session \ --region <Region> \ --code-interpreter-id "<your-code-interpreter-id>" \ --name "my-code-session" \ --description "My Code Interpreter session for data analysis" \ --session-timeout-seconds 900
Boto3

To start a Code Interpreter session using the AWS SDK for Python, use the start_code_interpreter_session method:

import boto3 # Initialize the boto3 client dp_client = boto3.client( 'bedrock-agentcore', region_name="<Region>", endpoint_url="https://bedrock-agentcore.<Region>.amazonaws.com" ) # Start a Code Interpreter session response = dp_client.start_code_interpreter_session( codeInterpreterIdentifier="aws.codeinterpreter.v1", name="sandbox-session-1", sessionTimeoutSeconds=3600 ) # Print the session ID session_id = response["sessionId"] print(f"Session created: {session_id}")
API

To start a new Code Interpreter session using the API, use the following call:

# Using awscurl awscurl -X PUT \ "https://bedrock-agentcore.<Region>.amazonaws.com/code-interpreters/aws.codeinterpreter.v1/sessions/start" \ -H "Content-Type: application/json" \ -H "Accept: application/json" \ --service bedrock-agentcore \ --region <Region> \ -d '{ "name": "code-session-abc12345", "description": "code sandbox session", "sessionTimeoutSeconds": 900 }'
Note

You can use the managed resource ID aws.codeinterpreter.v1 or a resource ID you get by creating a code interpreter with CreateCodeInterpreter.