Integrate the Aleph Alpha (Luminous) API with the Python API

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

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Popular Aleph Alpha (Luminous) 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 Aleph Alpha (Luminous)#

The Aleph Alpha (Luminous) API offers advanced AI capabilities, enabling you to integrate state-of-the-art language models into your applications. With this API, you can create natural language understanding and generation tasks, such as answering questions, summarizing content, and generating human-like text. On Pipedream, you can leverage these features within serverless workflows to automate processes, enrich data, and connect with other apps to create powerful AI-driven solutions.

Connect Aleph Alpha (Luminous)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    luminous: {
      type: "app",
      app: "luminous",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aleph-alpha.com/users/me`,
      headers: {
        Authorization: `Bearer ${this.luminous.$auth.api_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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