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 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
Uses the ScrapeNinja real Chrome browser engine to scrape pages that require JS rendering. See the documentation
Chat using the web search tool. See the documentation
Use high-performance web scraping endpoint with Chrome browser TLS fingerprint, but without JavaScript execution and real browser overhead. See the documentation
Chat with your models and allow them to invoke functions. Optionally, you can build and invoke workflows as functions. 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}`,
},
})
},
})
ScrapeNinja API on Pipedream allows you to craft powerful serverless workflows for web scraping without the hassle of managing proxies or browsers. It's a tool that can extract data from websites, handling JavaScript rendering and anti-bot measures with ease. By integrating ScrapeNinja with Pipedream, you can automate data collection, collate and process the scraped data, and connect it to numerous other services for further analysis, alerting, or storage.
import { axios } from '@pipedream/platform';
export default defineComponent({
props: {
scrapeninja: {
type: "app",
app: "scrapeninja",
}
},
async run({steps, $}) {
return await axios($, {
method: 'POST',
url: 'https://scrapeninja.p.rapidapi.com/scrape',
headers: {
'content-type': 'application/json',
'X-RapidAPI-Key': this.scrapeninja.$auth.rapid_api_key,
'X-RapidAPI-Host': 'scrapeninja.p.rapidapi.com'
},
data: {
url:"https://news.ycombinator.com/"
}
})
},
})