BrainShop

Delight your customers with conversational A.I. today.

Integrate the BrainShop API with the Python API

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

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.

 
Try it

Overview of BrainShop

The BrainShop API offers a conversational AI interface, allowing you to integrate a chatbot into various applications or services. On Pipedream, you can connect BrainShop API with numerous other apps to create dynamic workflows that respond to events or triggers. Leveraging Pipedream's serverless platform, you can automate interactions, analyze sentiment, and engage users with minimal effort.

Connect BrainShop

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    brainshop: {
      type: "app",
      app: "brainshop",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.brainshop.ai/get`,
      params: {
        bid: `${this.brainshop.$auth.brain_id}`,
        key: `${this.brainshop.$auth.api_key}`,
        uid: `1234`,
        msg: `Hello`,
      },
    })
  },
})

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

1
2
3
4
5
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}}