Integrate the Droxy API with the Python API

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

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Popular Droxy and Python Actions#

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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Overview of Droxy#

The Droxy API enables the construction of powerful serverless workflows on Pipedream, tapping into Droxy's capability to manage Docker containers. You can automate container lifecycle, pull statistics, and handle dynamic scaling based on real-time data. Pipedream's robust platform supports connecting to countless services which means you can integrate Droxy with other apps to facilitate CI/CD pipelines, application monitoring, or even chatbot notifications for container status updates.

Connect Droxy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    droxy: {
      type: "app",
      app: "droxy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.droxy.ai/v1/chatbot/all`,
      headers: {
        "x-api-key": `${this.droxy.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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