Integrate the Thoughtful GPT API with the Python API

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

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Popular Thoughtful GPT and Python Actions#

Process Content Macro with the Thoughtful GPT API

Processes given content using a specified macro. 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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Process CSV Files with the Thoughtful GPT API

Analyzes provided CSV data, generates queries, and creates data visualizations. See the documentation

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Overview of Thoughtful GPT#

The Thoughtful GPT API lets you integrate advanced natural language processing into your workflows on Pipedream. Tap into the power of generative AI to create content, analyze text, or automate responses. With Pipedream, harness this API in serverless workflows that trigger from numerous events and connect to other apps for expanded functionality.

Connect Thoughtful GPT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    thoughtful_gpt: {
      type: "app",
      app: "thoughtful_gpt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://app.thoughtfulgpt.com/api/automations/me/`,
      params: {
        api_key: `${this.thoughtful_gpt.$auth.relay_api_token}`,
      },
    })
  },
})

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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