with Perplexity 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
Generates a model's response for the given chat conversation. See the documentation
Attach user feedback to an existing trace in Langfuse. See the documentation
The Perplexity API offers advanced natural language processing capabilities, enabling users to generate answers, summaries, and insights from texts. Leveraging this API on Pipedream allows for the automation of content analysis, intelligent alert systems, and dynamic data enrichment, integrating seamlessly with various data sources and services for real-time processing.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
perplexity: {
type: "app",
app: "perplexity",
}
},
async run({steps, $}) {
const data = {
"model": "mistral-7b-instruct",
"messages": [
{
"role": "system",
"content": "Be precise and concise."
},
{
"role": "user",
"content": "Can you tell me about the integration platform called Pipedream?"
}
]
}
return await axios($, {
method: "post",
url: `https://api.perplexity.ai/chat/completions`,
headers: {
Authorization: `Bearer ${this.perplexity.$auth.api_key}`,
"accept": `application/json`,
},
data,
})
},
})
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}`,
},
})
},
})