Integrate the Algomo API with the Python API

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

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Popular Algomo and Python Actions#

Send Message To Chatbot with the Algomo API

Send a message to a specific Algomo chatbot and get the response. 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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Overview of Algomo#

The Algomo API empowers developers to integrate multilingual customer support automation into their services. It offers the ability to understand and respond to customer queries in various languages, making it a powerful tool for global customer engagement. Within Pipedream, you can harness this API to automate customer interactions, analyze sentiment and feedback, and streamline support workflows, among other possibilities, without managing infrastructure.

Connect Algomo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    algomo: {
      type: "app",
      app: "algomo",
    }
  },
  async run({steps, $}) {
    const data = {
      "botId": `${this.algomo.$auth.chatbot_id}`,
      "messageText": `Can you tell me about this page?`,
    }
    return await axios($, {
      method: "post",
      url: `https://app.algomo.com/api/v2/external/api-access/get-bot-response`,
      headers: {
        Authorization: `Bearer ${this.algomo.$auth.api_token}`,
        "Accept": `application/json`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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