AirOps
Build and scale LLM-powered workflows and chat assistants using AirOps Studio.
Integrate the AirOps API with the Python API
Setup the AirOps API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate AirOps and Python remarkably fast. Free for developers.
Popular AirOps and Python Actions#
Run Workflow with the AirOps API
Run a workflow of an app. See the sync documentation or async documentation
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.
Connect AirOps#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airops: {
type: "app",
app: "airops",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.airops.com/public_api/airops_apps/executions`,
headers: {
Authorization: `Bearer ${this.airops.$auth.workspace_api_key}`,
"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#
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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}}