with Backlog (API) and Google Gemini?
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 Backlog API provides a suite of functions for developers to integrate with and automate their project management needs. Through Pipedream, you can harness this API to create workflows that respond to events in Backlog, manipulate issues, track progress, and sync with other tools. This seamless integration allows you to streamline project management tasks, keep your team informed in real-time, and connect Backlog with other apps to enhance your productivity.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
backlog_api: {
type: "app",
app: "backlog_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://xx.backlog.com/api/v2/users/myself`,
params: {
apiKey: `${this.backlog_api.$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
})
},
})