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 for each new message in an AMQP 1.0 queue. See the library example here.
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
Emit new event every time a run changes its status. 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
Send a new message to an AMQP 1.0 queue. See the library example here.
Classify items into specific categories using the Chat API. See the documentation
Translate text from one language to another 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}`,
},
})
},
})
AMQP (Advanced Message Queuing Protocol) is a flexible protocol designed for high-performance messaging. Integrating the AMQP API within Pipedream workflows allows for robust messaging capabilities between various systems and services. You can use it to queue tasks, run asynchronous job processing, and facilitate communication between different parts of your application or different applications altogether. AMQP's reliability and standardization make it a go-to choice for enterprise-level messaging patterns.
export default defineComponent({
props: {
aqmp: {
type: "app",
app: "amqp",
},
},
async run({ steps, $ }) {
// Access required authentication info via:
// this.aqmp.$auth.host
// this.aqmp.$auth.post
// this.aqmp.$auth.username
// this.aqmp.$auth.password
},
})