with Fullstory and Google Gemini?
Emit new events when native mobile crash events occur. See the docs here
Emit new events when new note created. See the docs here
Emit new events when segment treshold alerts occur. See the docs here
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
The Fullstory API unlocks a treasure trove of user session data, enabling developers to automate deep insights into customer experiences on their digital platforms. Leveraging this API on Pipedream allows you to craft custom workflows that respond to specific user interactions, seamlessly integrate session insights with other tools, and trigger actions based on user behavior metrics. It's a boon for teams aiming to enhance user experience, address pain points, and bolster conversion rates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fullstory: {
type: "app",
app: "fullstory",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fullstory.com/operations/v1`,
headers: {
"Authorization": `Basic ${this.fullstory.$auth.api_key}`,
},
})
},
})
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})