Build generative AI applications with Google's PaLM 2 model.
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
Generate embeddings using Google PaLM. See the docs here
Summarizes text using the Chat API. See the documentation
The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.
import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";
export default defineComponent({
props: {
google_palm_api: {
type: "app",
app: "google_palm_api",
}
},
async run({ steps, $ }) {
const client = new v1beta2.TextServiceClient({
authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
});
const text = "Repeat after me: one, two,";
const model = "models/text-bison-001";
return await client
.generateText({
model,
prompt: {
text,
},
})
},
})
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}`,
},
})
},
})