with Beekeeper and Lamini?
Emit new events with the status of a training job. See the documentation
Create a fine-tuning job with a dataset. See the documentation
Generate completions using a Lamini model. See the documentation
Retrieve the results of a batch completion request from Lamini. See the documentation
The Beekeeper API enables seamless integration of its workplace communications platform with other business tools and systems, enhancing team collaboration and operational efficiency. By leveraging the Beekeeper API on Pipedream, you can automate the flow of information between Beekeeper and various applications, trigger actions based on messages or alerts, and synchronize data across your organization's tools. Pipedream's serverless architecture simplifies the process of setting up these automations without the need for dedicated infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
beekeeper: {
type: "app",
app: "beekeeper",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.beekeeper.$auth.subdomain}.beekeeper.io/api/2/config`,
headers: {
Authorization: `Bearer ${this.beekeeper.$auth.access_token}`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lamini: {
type: "app",
app: "lamini",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.lamini.ai/v2/classifier/projects`,
headers: {
Authorization: `Bearer ${this.lamini.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})