with Bot for Slack and Langfuse?
Emit new event when user feedback (score) is submitted on a trace in Langfuse. See the documentation
Emit new event when a new trace is recorded in Langfuse. See the documentation
Emit new event when a message is posted in a direct message channel (Bot). To open a conversation, use the Pipedream Action "Send a Direct Message" to send a message from the Bot, or enable direct messages to the Bot in your App Settings (Settings->App Home->Show Tabs->Messages Tab), and send a direct message to the Bot.
Emit new event when a new message is posted to a public, private or group channel (Bot)
Add an emoji reaction to a message. See the documentation
Attach user feedback to an existing trace in Langfuse. See the documentation
The bot for Slack allows you to build rich, interactive bots for Slack workspaces. These bots can respond to messages, post updates, and interact with users in various ways. With the bot for Slack on Pipedream, developers can create automated workflows that trigger on specific events in Slack, such as new messages or reactions, and then perform defined actions, like sending data to other apps or processing the information within Pipedream's serverless platform. This tight integration with Pipedream enables both simple and complex automations, leveraging Pipedream's ability to connect with numerous apps and its powerful built-in code steps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slack_bot: {
type: "app",
app: "slack_bot",
},
},
async run({steps, $}) {
return await axios($, {
url: `https://slack.com/api/auth.test`,
headers: {
Authorization: `Bearer ${this.slack_bot.$auth.bot_token}`,
},
method: 'post',
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
langfuse: {
type: "app",
app: "langfuse",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.langfuse.$auth.region}.langfuse.com/api/public/observations`,
auth: {
username: `${this.langfuse.$auth.public_key}`,
password: `${this.langfuse.$auth.secret_key}`,
},
})
},
})