For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
  • About NVIDIA NeMo Relay
    • Overview
    • Architecture
    • Ecosystem
    • Concepts
    • Release Notes
  • Getting Started
    • Agent Runtime Primer
    • Prerequisites
    • Installation
    • Configuration / Setup
    • Quick Start
  • NVIDIA NeMo Relay CLI
    • About
    • Basic Usage
    • Claude Code
    • Codex
    • Cursor
    • Hermes Agent
  • Supported Integrations
    • About
    • OpenClaw Plugin Guide
    • LangChain Integration Guide
    • LangGraph Integration Guide
    • Deep Agents Integration Guide
  • Instrument Applications
    • About
    • Adding Scopes and Marks
    • Instrument a Tool Call
    • Instrument an LLM Call
    • Add Middleware
    • Code Examples
  • Observability Plugin
    • About
    • Configuration
    • Agent Trajectory Interchange Format (ATIF)
    • Agent Trajectory Observability Format (ATOF)
    • OpenTelemetry
    • OpenInference
  • Adaptive Plugin
    • About
    • Configuration
    • Adaptive Cache Governor (ACG)
    • Adaptive Hints
  • NeMo Guardrails Plugin
    • About
    • Configuration
  • Integrate into Frameworks
    • About
    • Adding Scopes
    • Wrap Tool Calls
    • Wrap LLM Calls
    • Handle Non-Serializable Data
    • Using Codecs
    • Provider Codecs
    • Provider Response Codecs
    • Code Examples
  • Build Plugins
    • About
    • Define a Plugin
    • Validate Plugin Configuration
    • Plugin Configuration Files
    • Register Plugin Behavior
    • Design Plugin Configuration
    • NeMo Guardrails Example Plugin
    • Code Examples
  • Contribute
    • About
    • Development Setup
    • Workflow and Reviews
    • Testing and Documentation
  • Reference
    • APIs
      • Python Library Reference
      • Node.js Library Reference
      • Rust Library Reference
        • nemo-relay
          • api
          • codec
            • anthropic
            • openai_chat
            • openai_responses
            • request
            • response
              • AnnotatedLlmResponse
              • ResponseToolCall
              • Usage
              • ApiSpecificResponse
              • FinishReason
            • streaming
            • traits
          • config_editor
          • error
          • json
          • observability
          • plugin
          • plugins
          • stream
          • editor_config
        • nemo-relay-adaptive
        • nemo-relay-ffi
    • Performance
  • Resources
    • Support and FAQs
    • Glossary
    • Troubleshooting Guide
    • Community
    • Legal
NVIDIANVIDIA
Developer-friendly docs for your API
Privacy Policy | Your Privacy Choices | Terms of Service | Accessibility | Corporate Policies | Product Security | Contact

Copyright © 2026, NVIDIA Corporation.

LogoLogo
On this page
  • Fields
  • prompt_tokens: Option<u64>
  • completion_tokens: Option<u64>
  • total_tokens: Option<u64>
  • cache_read_tokens: Option<u64>
  • cache_write_tokens: Option<u64>
  • Trait Implementations
  • impl Clone for Usage
  • clone
  • clone_from
  • impl Debug for Usage
  • fmt
  • impl Default for Usage
  • default
  • impl<'de> Deserialize<'de> for Usage
  • deserialize
  • impl PartialEq for Usage
  • eq
  • ne
  • impl Serialize for Usage
  • serialize
  • impl Eq for Usage
  • impl StructuralPartialEq for Usage
ReferenceAPIsRust Library Referencenemo-relaycodecresponse

Struct Usage

||View as Markdown|
Previous

Struct Response Tool Call

Next

Enum ApiSpecific Response

Generated from cargo doc --no-deps -p nemo-relay -p nemo-relay-adaptive -p nemo-relay-ffi.

pub struct Usage {
    pub prompt_tokens: Option<u64>,
    pub completion_tokens: Option<u64>,
    pub total_tokens: Option<u64>,
    pub cache_read_tokens: Option<u64>,
    pub cache_write_tokens: Option<u64>,
}

Token usage statistics from an LLM API response.

All fields are Option<u64> because not every provider supplies every field. For example, cache token counts are only available from providers that support prompt caching.

Fields

prompt_tokens: Option<u64>

Tokens consumed by the prompt/input.

completion_tokens: Option<u64>

Tokens generated in the completion/output.

total_tokens: Option<u64>

Total tokens (prompt + completion).

cache_read_tokens: Option<u64>

Tokens served from prompt cache (read).

cache_write_tokens: Option<u64>

Tokens written to prompt cache.

Trait Implementations

impl Clone for Usage

impl Clone for Usage

clone

fn clone(&self) -> Usage

clone_from

fn clone_from(&mut self, source: &Self)

impl Debug for Usage

impl Debug for Usage

fmt

fn fmt(&self, f: &mut Formatter<'_>) -> Result

impl Default for Usage

impl Default for Usage

default

fn default() -> Usage

impl<'de> Deserialize<'de> for Usage

impl<'de> Deserialize<'de> for Usage

deserialize

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
    __D: Deserializer<'de>,

impl PartialEq for Usage

impl PartialEq for Usage

eq

fn eq(&self, other: &Usage) -> bool

ne

fn ne(&self, other: &Rhs) -> bool

impl Serialize for Usage

impl Serialize for Usage

serialize

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where
    __S: Serializer,

impl Eq for Usage

impl Eq for Usage

impl StructuralPartialEq for Usage

impl StructuralPartialEq for Usage