Integrate the Chatsonic API with the Python API

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

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Popular Chatsonic 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 Chatsonic#

The Chatsonic API by Writesonic unleashes the power of conversational AI, enabling you to craft chatbots, automate customer service, and generate natural language responses for a variety of use cases. With Chatsonic, you can design workflows on Pipedream that respond to events, messages, or prompts with human-like text, leverage contextually aware conversations, and even tap into real-time data like weather or news for enriched interactions.

Connect Chatsonic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatsonic: {
      type: "app",
      app: "chatsonic",
    }
  },
  async run({steps, $}) {
    const data = {
      "enable_google_results": `true`,
      "enable_memory": `false`,
      "input_text": `Check out pipedream.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.writesonic.com/v2/business/content/chatsonic?engine=premium`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "X-API-KEY": `${this.chatsonic.$auth.api_key}`,
      },
      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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