Streaming

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

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,
}

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),
})

Stream stdout and stderr

Stream results

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Stream `stdout` and `stderr`

Stream `results`