with Aidbase and Python?
Emit new event when a new knowledge item is added to a chatbot.
Emit new event when a new knowledge item is added to an email inbox.
Emit new event when a new knowledge item is added to a ticket form.
Add a new question to a FAQ in Airbase. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Add a video as a piece of knowledge to your Aidbase account. See the documentation
Create a new frequently asked questions (FAQ) list on your Aidbase account. See the documentation
Kick off a training job for a specific piece of knowledge. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aidbase: {
      type: "app",
      app: "aidbase",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aidbase.ai/v1/status`,
      headers: {
        Authorization: `Bearer ${this.aidbase.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})
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}}