Observability for Anthropic with Honeycomb

OpenLLMetry lets you trace prompts and embedding calls of Anthropic. With 5 minutes of work you can get complete view of your system directly into Honeycomb. See how below.

Step 1

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

import boto3
import json

from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import task, workflow

Traceloop.init(app_name="joke_generation_service")
client = Anthropic()

import * as traceloop from "@traceloop/node-server-sdk";
import Anthropic from "@anthropic-ai/sdk";

traceloop.initialize({
  appName: "sample_anthropic",
  apiKey: process.env.TRACELOOP_API_KEY,
  disableBatch: true,
});
const anthropic = new Anthropic({});

async function main() {
  const completion = await anthropic.messages.create({
    max_tokens: 1024,
    model: "claude-3-opus-20240229",
    messages: [
      {
        role: "user",
        content: "How does a court case get to the Supreme Court?",
      },
    ],
  });
  console.log(completion.content);
}

main();

Step 2

Route the traces to Honeycomb’s endpoint and set the API key

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

Docs

Discover use cases

Trace prompts and completions in Anthropic

Call any Claude model by Anthropic and see prompts, completions, and token usage for your call. Both Claude Instant and Claude 2 are supported.

See Code Example

Observability for Anthropic with Honeycomb

Step 1

Step 2

Discover use cases

Trace prompts and completions in Anthropic

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