with TMetric and Groq Cloud?
Creates a model response for the given chat conversation. See the documentation
The TMetric API provides the ability to interact programmatically with TMetric's time tracking features, allowing developers to create, read, update, and delete time entries, projects, and workspaces. By leveraging the API within Pipedream, you can connect TMetric to hundreds of other apps to automate time tracking as part of larger business processes, such as invoicing, project management, and reporting workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tmetric: {
type: "app",
app: "tmetric",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.tmetric.com/api/v3/user`,
headers: {
Authorization: `Bearer ${this.tmetric.$auth.api_token}`,
},
})
},
})
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,
})
},
})