Fast and secure execution of your AI generated code with Daytona sandboxes
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pip install daytona
npm install @daytonaio/sdk
from daytona import Daytona, DaytonaConfig, CreateSandboxParams
# Initialize the Daytona client
daytona = Daytona(DaytonaConfig(api_key="YOUR_API_KEY"))
# Create the Sandbox instance
sandbox = daytona.create(CreateSandboxParams(language="python"))
# Run code securely inside the Sandbox
response = sandbox.process.code_run('print("Sum of 3 and 4 is " + str(3 + 4))')
if response.exit_code != 0:
print(f"Error running code: {response.exit_code} {response.result}")
else:
print(response.result)
# Clean up the Sandbox
daytona.remove(sandbox)
import { Daytona } from '@daytonaio/sdk'
async function main() {
// Initialize the Daytona client
const daytona = new Daytona({
apiKey: 'YOUR_API_KEY',
})
let sandbox
try {
// Create the Sandbox instance
sandbox = await daytona.create({
language: 'python',
})
// Run code securely inside the Sandbox
const response = await sandbox.process.codeRun('print("Sum of 3 and 4 is " + str(3 + 4))')
if (response.exitCode !== 0) {
console.error('Error running code:', response.exitCode, response.result)
} else {
console.log(response.result)
}
} catch (error) {
console.error('Sandbox flow error:', error)
} finally {
if (sandbox) await daytona.remove(sandbox)
}
}
main().catch(console.error)
Daytona is Open Source under the GNU AFFERO GENERAL PUBLIC LICENSE, and is the copyright of its contributors. If you would like to contribute to the software, read the Developer Certificate of Origin Version 1.1 (https://developercertificate.org/). Afterwards, navigate to the contributing guide to get started.