What do you want to automate
with Rumi AI and Python?
Prompt, edit and deploy AI agents that connect to Rumi AI, Python and 2,500+ other apps in seconds.
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Popular Rumi AI and Python Triggers#
Emit new events when a session is completed. See the documentation
Popular Rumi AI and Python Actions#
Add access to a session for specific email addresses or domains. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Stream an AI query against session memories. See the documentation
Get information about the current authenticated user. See the documentation
Connect Rumi AI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rumi_ai: {
type: "app",
app: "rumi_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rumi.ai/v1.0/users/me`,
headers: {
Authorization: `Bearer ${this.rumi_ai.$auth.oauth_access_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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies