with SnatchBot and Google Vertex AI?
Emit new event when a new bot message is sent. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Post a new message and receive a response from your bot. See the documentation
Groups a provided text into predefined categories. See the documentation
The SnatchBot API provides a programmatic window to SnatchBot's chatbot platform, allowing you to manage and interact with your bots outside of the SnatchBot interface. With this API, you can execute tasks like sending messages, retrieving chat history, and managing your bot's structure and behavior. When integrated into Pipedream workflows, the SnatchBot API shines in automating interactions, syncing chat data with other systems, and reacting to events with custom logic and third-party services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
snatchbot: {
type: "app",
app: "snatchbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://account.snatchbot.me/channels/api/api/id${this.snatchbot.$auth.bot_id}/app${this.snatchbot.$auth.app_id}/aps${this.snatchbot.$auth.app_secret}`,
params: {
user_id: `{your_user_id}`,
message_id: `{your_message_id}`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})