OpenAI (ChatGPT)
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.
Integrate the OpenAI (ChatGPT) API with the Data Stores API
Setup the OpenAI (ChatGPT) API trigger to run a workflow which integrates with the Data Stores API. Pipedream's integration platform allows you to integrate OpenAI (ChatGPT) and Data Stores remarkably fast. Free for developers.
Popular Ways to Connect OpenAI (ChatGPT) with Data Stores#
Popular OpenAI (ChatGPT) and Data Stores Triggers#
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
Popular OpenAI (ChatGPT) and Data Stores Actions#
The Chat API, using the gpt-3.5-turbo or gpt-4 model. See docs here
Add or update a single record in your Pipedream Data Store.
Add or update multiple records to your Pipedream Data Store.
Classify items into specific categories using the Chat API
Overview of OpenAI (ChatGPT)#
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:
Connect OpenAI (ChatGPT)#
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}`,
},
})
},
})
Overview of Data Stores#
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
Connect Data Stores#
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})