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Cost Tracking for Claude Agent SDK Applications

A practical walkthrough of token and spend accounting in the Claude Agent SDK. Read total_cost_usd from the result message, deduplicate parallel tool calls that share an assistant id, break spend down per model with modelUsage, sum cost across query() calls yourself, and read cache_creation/cache_read tokens.

by JPette1783·added 2026-06-05·
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Source URLs
https://code.claude.com/docs/en/agent-sdk/cost-tracking, https://github.com/JSONbored/awesome-claude/blob/main/content/guides/cost-tracking-for-claude-agent-sdk-applications.mdx
Safety notes
total_cost_usd / costUSD are client-side estimates from a bundled price table, not authoritative billing; do not bill end users or trigger financial decisions from them., Estimates can drift when pricing changes or the SDK version does not recognize a model; use the Usage and Cost API or Console for real billing., Both success and error result messages include usage and cost; read cost regardless of subtype so failed runs are still accounted for.
Privacy notes
Usage data is token counts and cost, not content; it is safe to log, though it can reveal activity volume., Per-model and end-user attribution may be sent to an observability backend if you also enable telemetry; govern that data accordingly., The SDK uses prompt caching automatically; cache token fields reveal reuse patterns but not content.
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JPette1783
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Last verified
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Setup at a glance

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Risk 24

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Prerequisite readiness

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3 prerequisites to line up before setup. Have accounts and credentials ready first.

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Account & credentials1Install & runtime1General1

Safety & privacy surface

Safety & privacy surface

3 safety and 3 privacy notes across 4 risk areas. Review closely: credentials & tokens, third-party handling.

4 areas
  • SafetyGeneraltotal_cost_usd / costUSD are client-side estimates from a bundled price table, not authoritative billing; do not bill end users or trigger financial decisions from them.
  • SafetyGeneralEstimates can drift when pricing changes or the SDK version does not recognize a model; use the Usage and Cost API or Console for real billing.
  • SafetyExecution & processesBoth success and error result messages include usage and cost; read cost regardless of subtype so failed runs are still accounted for.
  • PrivacyCredentials & tokensUsage data is token counts and cost, not content; it is safe to log, though it can reveal activity volume.
  • PrivacyThird-party handlingPer-model and end-user attribution may be sent to an observability backend if you also enable telemetry; govern that data accordingly.
  • PrivacyCredentials & tokensThe SDK uses prompt caching automatically; cache token fields reveal reuse patterns but not content.

Safety notes

  • total_cost_usd / costUSD are client-side estimates from a bundled price table, not authoritative billing; do not bill end users or trigger financial decisions from them.
  • Estimates can drift when pricing changes or the SDK version does not recognize a model; use the Usage and Cost API or Console for real billing.
  • Both success and error result messages include usage and cost; read cost regardless of subtype so failed runs are still accounted for.

Privacy notes

  • Usage data is token counts and cost, not content; it is safe to log, though it can reveal activity volume.
  • Per-model and end-user attribution may be sent to an observability backend if you also enable telemetry; govern that data accordingly.
  • The SDK uses prompt caching automatically; cache token fields reveal reuse patterns but not content.

Prerequisites

  • The Claude Agent SDK installed for Python or TypeScript.
  • An async loop over query() results so you can read assistant and result messages.
  • For authoritative billing, access to the Usage and Cost API or the Console.

Schema details

Install type
copy
Troubleshooting
No
Full copyable content
## Overview

The Claude Agent SDK reports detailed token usage for each interaction. This
guide covers reading cost and usage correctly, especially with parallel tool use
and multi-step conversations.

## Scopes

- **query() call**: one `query()` invocation; produces one `result` message.
- **Step**: one request/response cycle within a call; produces assistant messages
  with usage.
- **Session**: multiple `query()` calls linked by a session id (`resume`); each
  call reports its own cost.

## Get the total for a call

The `result` message includes `total_cost_usd` (estimated) and cumulative usage:

```typescript
for await (const message of query({ prompt: "Summarize this project" })) {
  if (message.type === "result") {
    console.log(`Total cost: $${message.total_cost_usd}`);
  }
}
```

This is a **client-side estimate** from a bundled price table, not authoritative
billing. Use the Usage and Cost API or the Console for real charges.

## Per-step and per-model usage

Each assistant message carries `usage` (input/output tokens) and an `id`. Parallel
tool calls in one turn share an `id`, so deduplicate by id to avoid double
counting:

```typescript
const seen = new Set();
let input = 0, output = 0;
for await (const message of query({ prompt: "..." })) {
  if (message.type === "assistant" && !seen.has(message.message.id)) {
    seen.add(message.message.id);
    input += message.message.usage.input_tokens;
    output += message.message.usage.output_tokens;
  }
}
```

The result message's `modelUsage` (TS) / `model_usage` (Python) breaks cost and
tokens down per model, useful when subagents run a cheaper model.

## Accumulate across calls

The SDK has no session-level total; sum each call's `total_cost_usd` yourself when
running multiple `query()` calls.

## Cache tokens and failures

The SDK uses prompt caching automatically. The usage object includes
`cache_creation_input_tokens` (written, higher rate) and `cache_read_input_tokens`
(read, reduced rate); track them to understand caching savings. Both success and
error results include cost, so always read it regardless of subtype. To extend
cache TTL to one hour on API-key/Bedrock/Vertex/Foundry, set
`ENABLE_PROMPT_CACHING_1H`.

## Source

- Track cost and usage: https://code.claude.com/docs/en/agent-sdk/cost-tracking

About this resource

Overview

The Claude Agent SDK reports detailed token usage for each interaction. This guide covers reading cost and usage correctly, especially with parallel tool use and multi-step conversations.

Scopes

  • query() call: one query() invocation; produces one result message.
  • Step: one request/response cycle within a call; produces assistant messages with usage.
  • Session: multiple query() calls linked by a session id (resume); each call reports its own cost.

Get the total for a call

The result message includes total_cost_usd (estimated) and cumulative usage:

for await (const message of query({ prompt: "Summarize this project" })) {
  if (message.type === "result") {
    console.log(`Total cost: $${message.total_cost_usd}`);
  }
}

This is a client-side estimate from a bundled price table, not authoritative billing. Use the Usage and Cost API or the Console for real charges.

Per-step and per-model usage

Each assistant message carries usage (input/output tokens) and an id. Parallel tool calls in one turn share an id, so deduplicate by id to avoid double counting:

const seen = new Set();
let input = 0, output = 0;
for await (const message of query({ prompt: "..." })) {
  if (message.type === "assistant" && !seen.has(message.message.id)) {
    seen.add(message.message.id);
    input += message.message.usage.input_tokens;
    output += message.message.usage.output_tokens;
  }
}

The result message's modelUsage (TS) / model_usage (Python) breaks cost and tokens down per model, useful when subagents run a cheaper model.

Accumulate across calls

The SDK has no session-level total; sum each call's total_cost_usd yourself when running multiple query() calls.

Cache tokens and failures

The SDK uses prompt caching automatically. The usage object includes cache_creation_input_tokens (written, higher rate) and cache_read_input_tokens (read, reduced rate); track them to understand caching savings. Both success and error results include cost, so always read it regardless of subtype. To extend cache TTL to one hour on API-key/Bedrock/Vertex/Foundry, set ENABLE_PROMPT_CACHING_1H.

Source

Source citations

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How it compares

Cost Tracking for Claude Agent SDK Applications side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

A practical walkthrough of token and spend accounting in the Claude Agent SDK. Read total_cost_usd from the result message, deduplicate parallel tool calls that share an assistant id, break spend down per model with modelUsage, sum cost across query() calls yourself, and read cache_creation/cache_read tokens.

Open dossier

A practical walkthrough of using Agent Skills in the Claude Agent SDK: how skills are discovered from the filesystem via settingSources, the skills option to enable or filter them, tool access, and troubleshooting discovery.

Open dossier

A practical walkthrough of exporting OpenTelemetry traces, metrics, and events from the Claude Agent SDK: enabling telemetry, configuring OTLP exporters, reading agent spans, linking traces to your app, and controlling sensitive data.

Open dossier

A practical walkthrough of securely deploying Claude Agent SDK applications: the prompt-injection threat model, isolation options (sandbox runtime, containers, gVisor, VMs), least privilege, the proxy credential pattern, and filesystem controls.

Open dossier
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Trust
Review statusNot reviewedNot reviewedNot reviewedNot reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSource-backedSource-backedSource-backedSource-backed
SubmitterJPette1783JPette1783JPette1783JPette1783
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
Brand
Categoryguidesguidesguidesguides
SourceSource-backedSource-backedSource-backedSource-backed
AuthorJPette1783JPette1783JPette1783JPette1783
Added2026-06-052026-06-052026-06-052026-06-05
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Source repo
Safety notestotal_cost_usd / costUSD are client-side estimates from a bundled price table, not authoritative billing; do not bill end users or trigger financial decisions from them. Estimates can drift when pricing changes or the SDK version does not recognize a model; use the Usage and Cost API or Console for real billing. Both success and error result messages include usage and cost; read cost regardless of subtype so failed runs are still accounted for.The skills option is a context filter, not a sandbox: unlisted skills are hidden from the model but their files remain on disk and are reachable via Read and Bash. Skills are model-invoked; pair them with a tight allowedTools list (and dontAsk where appropriate) so an invoked skill cannot use more tools than intended. The allowed-tools frontmatter in SKILL.md does not apply through the SDK; control tool access with the main allowedTools option.Telemetry is off until you set CLAUDE_CODE_ENABLE_TELEMETRY=1 and choose an exporter; turning it on starts exporting usage data, so confirm the destination is approved. Do not use the console exporter through the SDK; stdout is the SDK's message channel. Point OTLP at a collector or local Jaeger instead. Traces are beta and require CLAUDE_CODE_ENHANCED_TELEMETRY_BETA=1; span names and attributes may change between releases.Agents generate actions dynamically and can be influenced by content they process (prompt injection); apply defense in depth, not a single control. Use least privilege: mount only needed directories (prefer read-only), restrict network to specific endpoints, and drop Linux capabilities in containers. Inject credentials via a proxy outside the agent boundary so the agent never sees secrets; do not mount ~/.ssh, ~/.aws, .env, or similar into the agent.
Privacy notesUsage data is token counts and cost, not content; it is safe to log, though it can reveal activity volume. Per-model and end-user attribution may be sent to an observability backend if you also enable telemetry; govern that data accordingly. The SDK uses prompt caching automatically; cache token fields reveal reuse patterns but not content.Skill descriptions are loaded so the model can decide when to use them; keep sensitive workflow detail and secrets out of descriptions. Skills sourced from outside your project run their instructions in your sessions; review them before enabling. Skill content is sent to the model provider when a skill is invoked; treat it like any other prompt content.By default telemetry is structural (durations, model/tool names, token counts), not content; opt-in vars (OTEL_LOG_USER_PROMPTS, OTEL_LOG_TOOL_DETAILS, OTEL_LOG_TOOL_CONTENT, OTEL_LOG_RAW_API_BODIES) add prompt and tool content. Exporter headers can carry tokens; supply them via the environment, not committed config. End-user attribution via OTEL_RESOURCE_ATTRIBUTES creates a per-user audit trail; handle that data per your policy and percent-encode values.Even read-only code mounts can expose credentials in .env, ~/.git-credentials, ~/.aws, .npmrc, and key files; exclude or sanitize them before mounting. Route egress through a proxy that enforces a domain allowlist and logs requests, so a compromised agent cannot exfiltrate data to arbitrary hosts. The built-in sandbox proxy does not inspect TLS; for stronger guarantees use a TLS-terminating proxy with its CA installed in the agent's trust store.
Prerequisites
  • The Claude Agent SDK installed for Python or TypeScript.
  • An async loop over query() results so you can read assistant and result messages.
  • For authoritative billing, access to the Usage and Cost API or the Console.
  • The Claude Agent SDK installed for Python or TypeScript.
  • SKILL.md files in .claude/skills/ (project) or ~/.claude/skills/ (user).
  • A cwd that points at or below the directory containing .claude/skills/, within the same repository.
  • The Claude Agent SDK installed for Python or TypeScript.
  • An OTLP-compatible backend or collector (Honeycomb, Datadog, Grafana, Jaeger, etc.).
  • Ability to set environment variables for the process or via options.env.
  • A Claude Agent SDK application you intend to run beyond a trusted local laptop.
  • Knowledge of which files, endpoints, and credentials the agent legitimately needs.
  • Container, sandbox, or VM tooling appropriate to your isolation choice.
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