Integrate the WatsonX AI API with the Python API

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

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Popular WatsonX AI 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 WatsonX AI#

The WatsonX AI API offers a robust suite of AI capabilities from IBM, designed to integrate advanced machine learning and cognitive computing into various applications. With these APIs, you can enhance your apps with AI-driven features such as language understanding, speech to text conversion, and visual recognition. Using Pipedream, these capabilities can be seamlessly integrated into automated workflows, allowing you to connect WatsonX AI with other services and automate complex tasks efficiently.

Connect WatsonX AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    watsonx_ai: {
      type: "app",
      app: "watsonx_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.watsonx_ai.$auth.region}.ml.cloud.ibm.com/ml/v4/deployments`,
      headers: {
        Authorization: `Bearer ${this.watsonx_ai.$auth.oauth_access_token}`,
      },
      params: {
        version: `2023-07-07`,
      },
    })
  },
})

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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