Integrate the JeffreyAI API with the Python API

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

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Popular JeffreyAI 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 JeffreyAI#

The JeffreyAI API offers a suite of AI-driven capabilities such as natural language understanding, image recognition, and sentiment analysis. With these tools, you can automate and enhance various aspects of your applications, from analyzing customer feedback to moderating content. Integrating the JeffreyAI API with Pipedream allows you to seamlessly connect its AI features with hundreds of other apps to create powerful workflows.

Connect JeffreyAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    jeffreyai: {
      type: "app",
      app: "jeffreyai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.jeffreyai.$auth.environment}.jeffreyai.com/contact/ContactService.svc/GetContacts`,
      headers: {
        "Authorization": `${this.jeffreyai.$auth.oauth_access_token}`,
        "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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