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1. For prototyping and testing purposes, sandbox name can be provided, and it will be used for all requests across the lifecycle of an agent 2. If no sandbox name is provided, agent engine name will be provided, and we will automatically create one sandbox per session, and the sandbox has TTL set for a year. If the sandbox stored in the session hits the TTL, it will not be in "STATE_RUNNING" so a new sandbox will be created. PiperOrigin-RevId: 874705260
# OAuth Sample ## Introduction This sample data science agent uses Agent Engine Code Execution Sandbox to execute LLM generated code. ## How to use * 1. Follow https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/code-execution/overview to create a code execution sandbox environment. * 2. Replace the SANDBOX_RESOURCE_NAME with the one you just created. If you dont want to create a new sandbox environment directly, the Agent Engine Code Execution Sandbox will create one for you by default using the AGENT_ENGINE_RESOURCE_NAME you specified, however, please ensure to clean up sandboxes after use; otherwise, it will consume quotas. ## Sample prompt * Can you write a function that calculates the sum from 1 to 100. * The dataset is given as below. Store,Date,Weekly_Sales,Holiday_Flag,Temperature,Fuel_Price,CPI,Unemployment Store 1,2023-06-01,1000,0,70,3.0,200,5 Store 2,2023-06-02,1200,1,80,3.5,210,6 Store 3,2023-06-03,1400,0,90,4.0,220,7 Store 4,2023-06-04,1600,1,70,4.5,230,8 Store 5,2023-06-05,1800,0,80,5.0,240,9 Store 6,2023-06-06,2000,1,90,5.5,250,10 Store 7,2023-06-07,2200,0,90,6.0,260,11 Plot a scatter plot showcasing the relationship between Weekly Sales and Temperature for each store, distinguishing stores with a Holiday Flag.