Aleph Alpha (Luminous)
Europe's most sophisticated AI base technology for your value creation.
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.
Popular Aleph Alpha (Luminous) and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}