Access 200+ AI Models with a Single AI API
Emit new event when a new column is added to a table. See the documentation
Emit new event when a row is added or modified. See the documentation
Emit new event when a new row is added to a table. See the documentation
Emit new event when new rows are returned from a custom query that you provide. See the documentation
Emit new event when a new table is added to the database. See the documentation
Finds a row in a table via a custom query. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ai_ml_api: {
type: "app",
app: "ai_ml_api",
}
},
async run({steps, $}) {
const data = {
"model": "mistralai/Mistral-7B-v0.1",
"messages": [
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
]
}
return await axios($, {
method: "POST",
url: `https://api.aimlapi.com/chat/completions`,
headers: {
Authorization: `Bearer ${this.ai_ml_api.$auth.api_key}`,
},
data,
})
},
})
On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.
import postgresql from "@pipedream/postgresql"
export default defineComponent({
props: {
postgresql,
},
async run({ steps, $ }) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql
const queryObj = {
text: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.postgresql.executeQuery(queryObj);
},
})