Logging Anthropic Requests

Anthropic’s language models have a different API structure than those of OpenAI. To record requests made to Anthropic’s models, follow the examples below:

Python
NodeJS

import time
from anthropic import Anthropic
from openpipe.client import OpenPipe

anthropic = Anthropic()
op_client = OpenPipe()

payload = {
    "model": "claude-3-opus-20240229",
    "messages": [{"role": "user", "content": "Hello, Claude"}],
    "max_tokens": 100,
}

message = anthropic.messages.create(**payload)

op_client.report_anthropic(
    requested_at=int(time.time() * 1000),
    received_at=int(time.time() * 1000),
    req_payload=payload,
    resp_payload=message,
    status_code=200,
    metadata={
        "prompt_id": "My prompt id",
    },
)

import Anthropic from "@anthropic-ai/sdk";
import { Message, MessageCreateParams } from "@anthropic-ai/sdk/resources";
import OpenPipe from "openpipe/client";

const anthropic = new Anthropic();
const opClient = new OpenPipe();

const payload: MessageCreateParams = {
  model: "claude-3-opus-20240229",
  messages: [{ role: "user", content: "Hello, Claude" }],
  max_tokens: 1024,
};

const message: Message = await anthropic.messages.create(payload);

await opClient.reportAnthropic({
  requestedAt: Date.now(),
  receivedAt: Date.now(),
  reqPayload: payload,
  respPayload: message,
  statusCode: 200,
  metadata: {
    prompt_id: "My prompt id",
  },
});

If you’re using a different programming language, you can make a raw http request to the report-anthropic enpoint.

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Logging Anthropic Requests