Observability for OpenAI with Grafana Tempo

Step 1

Install the Traceloop SDK and initialize it. It will automatically log all calls to OpenAI, with prompts and completions as separate spans.

import openai
from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import workflow

Traceloop.init(app_name="joke_generation_service")

@workflow(name="joke_creation")
def create_joke():
    completion = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[{"role": "user", "content": "Tell me a joke about opentelemetry"}],
    )

    return completion.choices[0].message.content

import * as traceloop from "@traceloop/node-server-sdk";
import OpenAI from "openai";

Traceloop.init({ app_name="joke_generation_service" })
const openai = new OpenAI();

class MyLLM {
  @traceloop.workflow("joke_creation")
  async create_joke():
      completion = await openai.chat.completions.create({
          model: "gpt-3.5-turbo",
          messages: [{"role": "user", "content": "Tell me a joke about opentelemetry"}],
      })

      return completion.choices[0].message.content
}

Step 2

Make sure you have a Grafana Agent installed and running in your system. Go to the Grafana Cloud account page under https://grafana.com/orgs/<your org name>, and click on Send Traces under Tempo. In Grafana Data Source settings, note the URL value. Click Generate now to generate an API key and copy it. Note also the Stack ID value (you can find it in the URL https://grafana.com/orgs/<Your Org Name>/stacks/<Stack ID>). Add this to the configuration of your Grafana Agent.

TRACELOOP_BASE_URL=https://api.honeycomb.io
TRACELOOP_HEADERS="x-honeycomb-team=<YOUR_API_KEY>"

Docs

Observability for OpenAI with Grafana Tempo

Step 1

Step 2

Discover use cases

Trace prompts and completions

Trace your RAG retrieval pipeline

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