Integrate via Langtail SDK

1. In Langtail, open an existing project or create a new one.
2. In the left sidebar, click Secrets.
3. Click New API Key, optionally set a name and a budget limit, then click Create.
4. Copy the key.

Install the Langtail SDK in your project (using NPM or your package manager of choice):

npm add langtail

1. Add your Langtail project API key to an environment variable. In the following snippets, we use LANGTAIL_API_KEY.
2. In your codebase, paste this snippet:

import { Langtail } from "langtail"

const lt = new Langtail({
  apiKey: process.env.LANGTAIL_API_KEY,
})

const rawCompletion = await lt.chat.completions.create({
  // Required
  messages: [{ role: "system", content: "You are a helpful assistant." }],
  model: "gpt-3.5-turbo",
  // Optional:
  // All OpenAI fields (temperature, top_p, tools,...)
  doNotRecord: false, // false will ensure logs do not contain any info about payloads
  metadata: {
    "custom-field": 1,
  },
})

Run your app and make a request to verify that everything works properly.

1. Back in Langtail, navigate to the project and then click Logs in the left sidebar.
2. You should see log entries coming from your app (they have an environment value of “proxy”).
3. Click on a log to see detailed information about the request and response from OpenAI.
4. If you want to experiment with this prompt, click Open in Playground. Here you can change parameters and modify different parts of the prompt and then see the result.