Secure sandboxed cloud environments made for AI agents and AI apps
What is E2B?
E2B Sandbox is a secure and sandboxed cloud environment designed specifically for AI agents and AI applications. These sandboxes allow AI agents to operate within long-running, secure cloud environments, offering them the same essential tools as human developers. Imagine giving a child all the building blocks they need; that’s what E2B does for AI!
Some notable features of the E2B sandbox include:
- Cloud browsers
- Access to GitHub repositories and command line interfaces (CLIs)
- Coding tools such as linters, autocomplete, and go-to definition
- Executing Long Language Model (LLM) generated code
- Audio and video editing capabilities
The E2B sandbox can be connected to any LLM and AI agent or app!
Code Interpreter SDK
We’ve crafted a dedicated SDK for building custom code interpreters in your AI applications. It is built on top of E2B and our core E2B SDK.
Getting Started Documentation
To dive in, head to our documentation for a complete guide. You can create and manage a sandbox using our SDK. Here’s how:
Python Steps
1. Install the SDK
bash
pip install e2b
2. Start the sandbox
python
from e2b import Sandbox
# Create sandbox
sandbox = Sandbox()
# Let an LLM use the sandbox here
# Visit https://e2b.dev/docs/sandbox/overview to learn more about sandboxes.
# Close sandbox once done
sandbox.close()
JavaScript / TypeScript Steps
1. Install the SDK
bash
npm install e2b
2. Start the sandbox
javascript
import Sandbox from 'e2b';
// Create sandbox
const sandbox = await Sandbox.create();
// Let an LLM use the sandbox here
// Visit https://e2b.dev/docs/sandbox/overview to learn more about sandboxes.
// Close sandbox once done
await sandbox.close();
Repository Structure
This repository is a monorepo containing:
Troubleshooting Ideas
If you encounter issues while using E2B, consider the following troubleshooting steps:
- Verify you have installed the correct SDK and its dependencies.
- Examine code for potential syntax errors or misconfigurations.
- Check the documentation for any updates or common issues.
- Ensure your network connection is stable, as cloud environments require reliable internet access.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
