Observability for Anthropic with Splunk

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

Configure your collector to collect traces and send them to Splunk Observability Cloud; point OpenLLMetry to send traces to your Splunk collector

# In your Splunk collector configuration
receivers:
  otlp:
    protocols:
      grpc:
        endpoint: "0.0.0.0:4317"
      http:
        endpoint: "0.0.0.0:4318"
exporters:
  # Traces
  sapm:
    access_token: "${SPLUNK_ACCESS_TOKEN}"
    endpoint: "https://ingest.${SPLUNK_REALM}.signalfx.com/v2/trace"
    sending_queue:
      num_consumers: 32
 pipelines:
  traces:
    receivers: [jaeger, otlp, sapm, zipkin]
    processors:
    - memory_limiter
    - batch
    #- resource/add_environment
    exporters: [sapm]
        
# In the environment of your application
TRACELOOP_BASE_URL=http://splunk-otel-collector:4318

Docs

Observability for Anthropic with Splunk

Step 1

Step 2

Discover use cases

Trace prompts and completions in Anthropic

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