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
Creates a unique lead in the Vryno system, ensuring no duplication of lead details. See the documentation
Summarizes text using the Chat API. See the documentation
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}`,
},
})
},
})
The Vryno API provides functionality to access a platform that specializes in various services including but not limited to real estate, healthcare, and educational services. By integrating this API into Pipedream workflows, developers can automate interactions and data exchanges between Vryno and other platforms, enhancing efficiency and enabling innovative service delivery models.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vryno: {
type: "app",
app: "vryno",
}
},
async run({steps, $}) {
const data = {
"query": "{ fetchBulkImportJob { code messageKey data{ id fileName } } }"
}
return await axios($, {
method: "post",
url: `https://${this.vryno.$auth.company_instance_name}.ms.vryno.com/api/graphql/crm`,
headers: {
Authorization: `Bearer ${this.vryno.$auth.oauth_access_token}`,
},
data,
})
},
})