Hyperfast LLM running on custom built GPU and the fastest interface in the world.
Creates a model response for the given chat conversation. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
groqcloud: {
type: "app",
app: "groqcloud",
}
},
async run({steps, $}) {
const data = {"messages": [{"role": "user", "content": "What is Pipedream?"}], "model": "llama3-8b-8192"}
return await axios($, {
method: "post",
url: `https://api.groq.com/openai/v1/chat/completions`,
headers: {
Authorization: `Bearer ${this.groqcloud.$auth.api_key}`,
},
data,
})
},
})
import { axios } from "@pipedream/platform";
import FormData from "form-data";
import request from "request";
export default defineComponent({
props: {
llamaindex: {
type: "app",
app: "llamaindex",
}
},
async run({steps, $}) {
const data = new FormData();
data.append("file", request("https://www.learningcontainer.com/wp-content/uploads/2019/09/sample-pdf-file.pdf"));
return await axios($, {
method: "POST",
url: `${this.llamaindex.$auth.url}/api/parsing/upload`,
headers: {
"Content-Type": `multipart/form-data`,
Authorization: `Bearer ${this.llamaindex.$auth.api_key}`,
},
data,
})
},
})