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 new image sample is created for a model. See the documentation
Emit new event when a new model is created. See the documentation
Emit new event when a new model version is created/queued for training. See the documentation
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
The Chat API, using the gpt-3.5-turbo
or gpt-4
model. See the documentation
Queues an image generation job and returns the job details. See the documentation
Summarizes text using the Chat API. See the documentation
Creates a new custom model entity, which serves as a container that can be trained on custom images. 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}`,
},
})
},
})
The Leap API enables automated interactions with the Leap.ai platform, which focuses on matching users with optimal job opportunities based on skills and preferences. In Pipedream, you can harness this API to create workflows that streamline the job search process, manage and analyze job matching data, or even integrate with other platforms to enhance the job seeking experience. With Pipedream's serverless execution environment, you can trigger these workflows on a schedule, via webhooks, or in response to events from other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
leap: {
type: "app",
app: "leap",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tryleap.ai/api/v1/images/models`,
headers: {
Authorization: `Bearer ${this.leap.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})