Mish Ushakov
edeafb1cdd
**Changelog**
- Adds `files.getInfo`, `files.get_info` methods to the SDKs.
- Adds tests for the new methods
- Adds documentation for the above.
**Examples**
JavaScript
```js
import { Sandbox } from '@e2b/code-interpreter'
const sandbox = await Sandbox.create()
// Create a new file
await sandbox.files.write('test_file.txt', 'Hello, world!')
// Get information about the file
const info = await sandbox.files.getInfo('test_file.txt')
console.log(info)
// {
// name: 'test_file.txt',
// type: 'file',
// path: '/home/user/test_file.txt'
// }
```
Python
```py
from e2b_code_interpreter import Sandbox
sandbox = Sandbox()
# Create a new file
sandbox.files.write('test_file', 'Hello, world!')
# Get information about the file
info = sandbox.files.get_info('test_file')
print(info)
# EntryInfo(name='test_file.txt', type=<FileType.FILE: 'file'>, path='/home/user/test_file.txt')
```
---------
Co-authored-by: Jakub Novak <jakub@e2b.dev>
What is E2B?
E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud. To start and control sandboxes, use our JavaScript SDK or Python SDK.
Run your first Sandbox
1. Install SDK
pip install e2b-code-interpreter
2. Get your E2B API key
E2B_API_KEY=e2b_***
3. Execute code with code interpreter inside Sandbox
from e2b_code_interpreter import Sandbox
with Sandbox() as sandbox:
sandbox.run_code("x = 1")
execution = sandbox.run_code("x+=1; x")
print(execution.text) # outputs 2
4. Check docs
Visit E2B documentation.
5. E2B cookbook
Visit our Cookbook to get inspired by examples with different LLMs and AI frameworks.