with Basecamp and Google Gemini?
Emit new event when a comment is created. See the documentation
Emit new event when a message is created. See the documentation
Emit new event when a to-do item is created. See the documentation
Emit new event when a to-do list is created. See the documentation
Emit events of one or more selected types. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Creates a comment in a selected recording. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Creates a message in a Campfire for a Basecamp Chatbot. See the documentation
The Basecamp API enables the automation of project management tasks, facilitating seamless interaction with Basecamp's project management tools. Through Pipedream, you can leverage the API to create custom workflows that trigger actions within Basecamp, sync data across various platforms, and enhance team collaboration with automated notifications and task management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
basecamp: {
type: "app",
app: "basecamp",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://launchpad.37signals.com/authorization.json`,
headers: {
Authorization: `Bearer ${this.basecamp.$auth.oauth_access_token}`,
},
})
},
})
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
})
},
})