daytona
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
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Daytona is a secure and elastic infrastructure tool designed for running AI-generated code. It offers lightning-fast infrastructure with sub-90ms sandbox creation, separated and isolated runtime for executing AI code with zero risk, massive parallelization for concurrent AI workflows, programmatic control through various APIs, unlimited sandbox persistence, and OCI/Docker compatibility. Users can create sandboxes using Python or TypeScript SDKs, run code securely inside the sandbox, and clean up the sandbox after execution. Daytona is open source under the GNU Affero General Public License and welcomes contributions from developers.
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pip install daytonanpm install @daytonaio/sdk- Lightning-Fast Infrastructure: Sub-90ms Sandbox creation from code to execution.
- Separated & Isolated Runtime: Execute AI-generated code with zero risk to your infrastructure.
- Massive Parallelization for Concurrent AI Workflows: Fork Sandbox filesystem and memory state (Coming soon!)
- Programmatic Control: File, Git, LSP, and Execute API
- Unlimited Persistence: Your Sandboxes can live forever
- OCI/Docker Compatibility: Use any OCI/Docker image to create a Sandbox
- Create an account at https://app.daytona.io
- Generate a new API key
- Follow the Getting Started docs to start using the Daytona SDK
from daytona import Daytona, DaytonaConfig, CreateSandboxBaseParams
# Initialize the Daytona client
daytona = Daytona(DaytonaConfig(api_key="YOUR_API_KEY"))
# Create the Sandbox instance
sandbox = daytona.create(CreateSandboxBaseParams(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.delete(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: 'typescript',
})
// Run code securely inside the Sandbox
const response = await sandbox.process.codeRun('console.log("Sum of 3 and 4 is " + (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.delete(sandbox)
}
}
main().catch(console.error)package main
import (
"context"
"fmt"
"log"
"time"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/daytona"
"github.com/daytonaio/daytona/libs/sdk-go/pkg/types"
)
func main() {
// Initialize the Daytona client with DAYTONA_API_KEY in env
// Alternative is to use daytona.NewClientWithConfig(...) for more specific config
client, err := daytona.NewClient()
if err != nil {
log.Fatalf("Failed to create client: %v", err)
}
ctx := context.Background()
// Create the Sandbox instance
params := types.SnapshotParams{
SandboxBaseParams: types.SandboxBaseParams{
Language: types.CodeLanguagePython,
},
}
sandbox, err := client.Create(ctx, params, daytona.WithTimeout(90*time.Second))
if err != nil {
log.Fatalf("Failed to create sandbox: %v", err)
}
// Run code securely inside the Sandbox
response, err := sandbox.Process.ExecuteCommand(ctx, `python3 -c "print('Sum of 3 and 4 is', 3 + 4)"`)
if err != nil {
log.Fatalf("Failed to execute command: %v", err)
}
if response.ExitCode != 0 {
fmt.Printf("Error running code: %d %s\n", response.ExitCode, response.Result)
} else {
fmt.Println(response.Result)
}
// Clean up the Sandbox
if err := sandbox.Delete(ctx); err != nil {
log.Fatalf("Failed to delete sandbox: %v", err)
}
}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.
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