with OpenRouter and Google PaLM?
Returns a list of models available through the API. See the documentation
Send a chat completion request to a selected model. See the documentation
Generate embeddings using Google PaLM. See the docs here
Send a completion request to a selected model (text-only format) See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
openrouter: {
type: "app",
app: "openrouter",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://openrouter.ai/api/v1/parameters/openai/o1`,
headers: {
Authorization: `Bearer ${this.openrouter.$auth.api_key}`,
},
params: {
provider: `OpenAI`,
},
})
},
})
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,
},
})
},
})