Any app, any process, one modular CRM platform.
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
The Fireberry API enables users to interact with Fireberry's suite of services programmatically. With its API, you can automate tasks related to their offerings. In Pipedream, you could leverage this API to create serverless workflows that respond to various triggers (like HTTP requests, emails, or schedule timings) and integrate with other apps to extend Fireberry's functionality.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireberry: {
type: "app",
app: "fireberry",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fireberry.com/api/record/crmuser`,
headers: {
"accept": `application/json`,
"tokenid": `${this.fireberry.$auth.api_access_token}`,
},
})
},
})
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}`,
},
})
},
})