Open source LLM engineering platform. Traces, evals, prompt management and metrics to debug and improve your LLM application.
Emit new event when user feedback (score) is submitted on a trace in Langfuse. See the documentation.
Emit new event when a new trace is recorded in Langfuse. See the documentation.
Emit new event when you add or modify a new row in a table. See the docs here
Attach user feedback to an existing trace in Langfuse. See the documentation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
langfuse: {
type: "app",
app: "langfuse",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.langfuse.$auth.region}.langfuse.com/api/public/observations`,
auth: {
username: `${this.langfuse.$auth.public_key}`,
password: `${this.langfuse.$auth.secret_key}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});