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LiveKit

Build realtime AI. Instantly transport audio + video between LLMs and your users.

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Python

Integrate the LiveKit API with the Python API

Setup the LiveKit API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate LiveKit and Python remarkably fast. Free for developers.

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Popular LiveKit and Python Actions#

Create Ingress From URL with the LiveKit API

Create a new ingress from url in LiveKit. See the documentation.

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Room with the LiveKit API

Create a new room in LiveKit. See the documentation.

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Delete Room with the LiveKit API

Delete a room in LiveKit. See the documentation

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List Rooms with the LiveKit API

List all rooms with LiveKit. See the documentation.

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Connect LiveKit#

import { RoomServiceClient } from 'livekit-server-sdk'; 
export default defineComponent({
  props: {
    livekit: {
      type: "app",
      app: "livekit",
    }
  },
  async run({steps, $}) {
    const svc = new RoomServiceClient(
      `https://${this.livekit.$auth.project_url}`,
      this.livekit.$auth.api_key,
      this.livekit.$auth.secret_key);
    return await svc.listRooms();
  },
})

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}}

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