Claude Agent SDK - TraceRoot

Automatically capture agent invocations, subagent delegations, tool calls, and token usage from the Claude Agent SDK (Claude Code as a library).

Setup

Python
TypeScript

import traceroot
from traceroot import Integration

traceroot.initialize(integrations=[Integration.CLAUDE_AGENT_SDK])

import * as claudeAgentSDK from '@anthropic-ai/claude-agent-sdk';
import { TraceRoot } from '@traceroot-ai/traceroot';

TraceRoot.initialize({
  instrumentModules: { claudeAgentSDK },
});

Usage

Python
TypeScript

from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition

# Define subagents
researcher = AgentDefinition(
    description="Research specialist for gathering information.",
    prompt="You are a research specialist. Use WebSearch to find info.",
    tools=["WebSearch"],
    model="haiku",
)

# Run the agent with subagents
async for message in query(
    prompt="Research the latest trends in AI observability",
    options=ClaudeAgentOptions(
        allowed_tools=["Agent", "Bash", "Read", "Glob", "Grep"],
        agents={"researcher": researcher},
    ),
):
    if hasattr(message, "result"):
        print(message.result)

import { query, AgentDefinition } from '@anthropic-ai/claude-agent-sdk';

const researcher: AgentDefinition = {
  description: 'Research specialist for gathering information.',
  prompt: 'You are a research specialist. Use WebSearch to find info.',
  tools: ['WebSearch'],
  model: 'haiku',
};

async function main() {
  for await (const message of query({
    prompt: 'Research the latest trends in AI observability',
    options: {
      allowedTools: ['Agent', 'Bash', 'Read', 'Glob', 'Grep'],
      agents: { researcher },
    },
  })) {
    if ('result' in message) {
      console.log(message.result);
    }
  }
}
main().catch(console.error);

What Gets Captured

Attribute	Description
Agent queries	Each `query()` call as a top-level agent span
Subagent invocations	Each subagent delegation via the Agent tool
Tool calls	Built-in tools (Read, Write, Bash, Glob, Grep, WebSearch)
Token usage	Aggregated input/output tokens per query
Cost	Total cost for the full query execution
Model name	The model used (e.g., claude-sonnet-4-6, claude-haiku-4-5)

Run the example

Clone the repo and run a complete agent end-to-end.

Python

Run the Python example

TypeScript

Run the TypeScript example

​Setup

​Usage

​What Gets Captured

​Run the example