What do you want to automate
with Rendi and Python?
Prompt, edit and deploy AI agents that connect to Rendi, Python and 2,500+ other apps in seconds.
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Popular Rendi and Python Triggers#
Emit new event when a new FFmpeg command is submitted. See the documentation
Emit new event when a new file is uploaded to an account. See the documentation
Popular Rendi and Python Actions#
Get the status of a previously submitted FFmpeg command. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get the list of all stored files for an account. See the documentation
Submit an FFmpeg command for processing with input and output file specifications. See the documentation
Connect Rendi#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rendi: {
type: "app",
app: "rendi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rendi.dev/v1/files`,
headers: {
"x-api-key": `${this.rendi.$auth.api_key}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies