with Microsoft Sharepoint and FlowiseAI?
Emit new event when a new file is created in Microsoft Sharepoint.
Emit new event when a new folder is created in Microsoft Sharepoint.
Emit new event when a new list item is created in Microsoft Sharepoint.
Emit new event when a list item is updated in Microsoft Sharepoint.
Create a new folder in SharePoint. See the documentation
Calculates an output based on your created flow in Flowise. See the documentation
Create a new item in Microsoft Sharepoint. See the documentation
Create a sharing link for a DriveItem. See the documentation
Create a new list in Microsoft Sharepoint. See the documentation
The Microsoft SharePoint Online API opens up a world of possibilities for integrating your SharePoint content with other services and automating tasks. With Pipedream, you can harness this API to create powerful workflows that trigger on events in SharePoint, manipulate data, and connect with countless other apps. Create custom automations for document management, team notifications, content moderation, and more, without the need to manage infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sharepoint: {
type: "app",
app: "sharepoint",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.sharepoint.$auth.oauth_access_token}`,
},
})
},
})
The FlowiseAI API offers powerful AI-driven capabilities to enhance data with smart predictions and insights. In Pipedream, you can leverage this API to automate tasks, analyze large sets of data, and build intelligent workflows that respond to the AI's output. FlowiseAI can pair with various apps on Pipedream to enrich CRM data, optimize marketing campaigns, or streamline customer support processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flowiseai: {
type: "app",
app: "flowiseai",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://pipedreamtest.onrender.com/api/v1/prediction/{{your_chatflow_id}}`,
headers: {
Authorization: `Bearer ${this.flowiseai.$auth.api_key}`,
"Content-Type": `application/json`,
},
data: {
question: "{{your_prompt}}"
}
})
},
})