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Use E2B SDK allows you to stream the output, and results when executing code in the sandbox.

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Stream stdout and stderr

When using the runCode() method in JavaScript or run_code() in Python you can pass onStdout/on_stdout and onStderr/on_stderr callbacks to handle the output. 
import { Sandbox } from '@e2b/code-interpreter'  const codeToRun = `  import time  import sys  print("This goes first to stdout")  time.sleep(3)  print("This goes later to stderr", file=sys.stderr)  time.sleep(3)  print("This goes last") ` const sandbox = await Sandbox.create() sandbox.runCode(codeToRun, {  // Use `onError` to handle runtime code errors  onError: error => console.error('error:', error),  onStdout: data => console.log('stdout:', data),  onStderr: data => console.error('stderr:', data), })
The code above will print the following: 
stdout: {  error: false,  line: "This goes first to stdout\n",  timestamp: 1729049666861000, } stderr: {  error: true,  line: "This goes later to stderr\n",  timestamp: 1729049669924000, } stdout: {  error: false,  line: "This goes last\n",  timestamp: 1729049672664000, }

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Stream results

When using the runCode() method in JavaScript or run_code() in Python you can pass onResults/on_results callback to receive results from the sandbox like charts, tables, text, and more. 
const codeToRun = ` import matplotlib.pyplot as plt  # Prepare data categories = ['Category A', 'Category B', 'Category C', 'Category D'] values = [10, 20, 15, 25]  # Create and customize the bar chart plt.figure(figsize=(10, 6)) plt.bar(categories, values, color='green') plt.xlabel('Categories') plt.ylabel('Values') plt.title('Values by Category')  # Display the chart plt.show() ` const sandbox = await Sandbox.create() await sandbox.runCode(codeToRun, {  onResult: result => console.log('result:', result), })