Integrate the ChatFAI API with the Python API

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

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Popular ChatFAI and Python Actions#

Generate Message Reply with the ChatFAI API

Generates a message reply using a ChatFAI character. 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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Get Public Character by ID with the ChatFAI API

Gets a public character by ID from ChatFAI. See the documentation

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Search Public Characters with the ChatFAI API

Search for public characters on ChatFAI. See the documentation

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Overview of ChatFAI#

The ChatFAI API enables the creation of chatbots with capabilities ranging from answering FAQs to providing recommendations and conducting conversations. Leveraging this API within Pipedream allows for the automation of these conversational features across various platforms and services. With Pipedream's serverless approach, you can integrate the ChatFAI API to trigger actions, respond to events, and connect with numerous apps to enhance user engagement and streamline communication processes.

Connect ChatFAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatfai: {
      type: "app",
      app: "chatfai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: ` https://api.chatfai.com/v1/characters/search`,
      headers: {
        Authorization: `Bearer ${this.chatfai.$auth.api_key}`,
      },
      params: {
        "q": `Bertram Gilfoyle`,
      },
    })
  },
})

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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