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@mlflow/claude-code

v0.4.0

Published

Claude Code and Claude Agent SDK integration package for MLflow Tracing

Readme

MLflow Typescript SDK - Claude Code

Trace Claude Code sessions and Claude Agent SDK runs with MLflow Tracing.

| Package | NPM | Description | | ------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | | @mlflow/claude-code | npm package | Trace Claude Code CLI sessions (Stop-hook) and Claude Agent SDK queries. |

Installation

npm install @mlflow/claude-code

For Claude Agent SDK tracing, also install the SDK:

npm install @anthropic-ai/claude-agent-sdk

Quickstart

Start an MLflow Tracking Server if you don't have one already, then point your environment at it:

export MLFLOW_TRACKING_URI=http://localhost:5000
export MLFLOW_EXPERIMENT_ID=<experiment-id>

Tracing the Claude Code CLI

Install the bundled Stop-hook plugin once; it will trace every CLI session automatically. See the docs for plugin setup.

Tracing the Claude Agent SDK

Wrap the SDK's query function with createTracedQuery:

import { query } from '@anthropic-ai/claude-agent-sdk';
import { createTracedQuery } from '@mlflow/claude-code';
import * as mlflow from '@mlflow/core';

mlflow.init({
  trackingUri: 'http://localhost:5000',
  experimentId: '<experiment-id>',
});

const tracedQuery = createTracedQuery(query);

const result = tracedQuery({
  prompt: 'List the files in this directory',
  options: {
    permissionMode: 'bypassPermissions',
  },
});

for await (const message of result) {
  if (message.type === 'result') {
    console.log('Result:', message.result);
  }
}

The wrapper produces the same span tree as the Claude Code CLI integration: an AGENT root span with LLM and TOOL children, plus nested AGENT spans for sub-agents invoked via the Task tool. Token usage (including cache_read_input_tokens and cache_creation_input_tokens) is recorded on every LLM span and aggregated on the root.

Documentation

Official documentation for the MLflow TypeScript SDK is at https://mlflow.org/docs/latest/genai/tracing/quickstart.