OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.
Emit new event when a file is deleted from a DigitalOcean Spaces bucket
Emit new event when a file is uploaded to a DigitalOcean Spaces bucket
Emit new event when a new batch is completed in OpenAI. See the documentation
Emit new event when a new file is created in OpenAI. See the documentation
Emit new event when a new fine-tuning job is created in OpenAI. See the documentation
The Chat API, using the gpt-3.5-turbo
or gpt-4
model. See the documentation
Summarizes text using the Chat API. See the documentation
Classify items into specific categories using the Chat API. See the documentation
OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:
Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openai: {
type: "app",
app: "openai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.openai.com/v1/models`,
headers: {
Authorization: `Bearer ${this.openai.$auth.api_key}`,
},
})
},
})
DigitalOcean Spaces API permits you to manage object storage, allowing for the storage and serving of massive amounts of data. This API is great for backing up, archiving, and providing public access to data or assets. On Pipedream, you can use this API to automate file operations like uploads, downloads, and deletions, as well as manage permissions and metadata. You can integrate it with other services for end-to-end workflow automation.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
digitalocean_spaces: {
type: "app",
app: "digitalocean_spaces"
}
},
async run({ steps, $ }) {
console.log(this.digitalocean_spaces.$auth)
const s3Client = new S3({
forcePathStyle: false, // Configures to use subdomain/virtual calling format.
endpoint: `https://${this.digitalocean_spaces.$auth.region}.digitaloceanspaces.com`,
region: "us-east-1",
credentials: {
accessKeyId: this.digitalocean_spaces.$auth.key,
secretAccessKey: this.digitalocean_spaces.$auth.secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
},
})