with Langfuse and LLMWhisperer?
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
Attach user feedback to an existing trace in Langfuse. See the documentation
Convert your PDF/scanned documents to text format which can be used by LLMs. See the documentation
Get the status of the whisper process. This can be used to check the status of the conversion process when the conversion is done in async mode. See the documentation
Generate highlight locations for a search term in the document. See the documentation
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}`,
},
})
},
})
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
llmwhisperer: {
type: "app",
app: "llmwhisperer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://llmwhisperer-api.unstract.com/v1/get-usage-info`,
headers: {
"unstract-key": `${this.llmwhisperer.$auth.api_key}`,
},
})
},
})