Open-source Code Interpreting for AI Apps.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import 'dotenv/config';
import { Sandbox } from '@e2b/code-interpreter';
export default defineComponent({
props: {
e2b: {
type: "app",
app: "e2b",
}
},
async run({steps, $}) {
const sbx = await Sandbox.create({
apiKey: this.e2b.$auth.api_key
}); // By default the sandbox is alive for 5 minutes
return await sbx.runCode('print("hello world")'); // Execute Python inside the sandbox
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}