FlowiseAI
Open source UI visual tool to build LLM apps.
Integrate the FlowiseAI API with the Node API
Setup the FlowiseAI API trigger to run a workflow which integrates with the Node API. Pipedream's integration platform allows you to integrate FlowiseAI and Node remarkably fast. Free for developers.
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Popular FlowiseAI and Node Actions#
Calculates an output based on your created flow in Flowise. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Overview of FlowiseAI#
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.
Connect FlowiseAI#
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}}"
}
})
},
})
Overview of Node#
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.
Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:
Connect Node#
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})Community Posts#
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