> For the complete documentation index, see [llms.txt](https://docs.graphlit.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graphlit.dev/api-guides/use-cases/production/production-monitoring-usage.md).

# Monitor Production Usage

## User Intent

"How do I monitor API usage and costs? Show me usage tracking."

## Operation

**SDK Method**: `queryProjectUsage()`\
**Use Case**: Track API usage and billing

***

## Code Example (TypeScript)

```typescript
import { Graphlit } from 'graphlit-client';

const graphlit = new Graphlit();

// Query usage for date range
const usage = await graphlit.queryProjectUsage({
  startDate: '2024-01-01',
  endDate: '2024-01-31'
});

console.log('Usage Summary:');
console.log(`API Calls: ${usage.projectUsage.apiCallCount}`);
console.log(`Content Ingested: ${usage.projectUsage.contentCount}`);
console.log(`Storage Used: ${usage.projectUsage.storageBytes} bytes`);
console.log(`Embedding Tokens: ${usage.projectUsage.embeddingTokens}`);
console.log(`Completion Tokens: ${usage.projectUsage.completionTokens}`);

// Calculate estimated cost
const embeddingCost = (usage.projectUsage.embeddingTokens / 1000000) * 0.02;  // $0.02/1M
const completionCost = (usage.projectUsage.completionTokens / 1000000) * 15;  // GPT-4o pricing
const totalCost = embeddingCost + completionCost;

console.log(`\nEstimated Cost: $${totalCost.toFixed(2)}`);
```

***

## Monitoring Best Practices

1. **Track daily usage** to spot anomalies
2. **Set budget alerts** in Developer Portal
3. **Monitor cost per feature** separately
4. **Review usage monthly** for optimization
5. **Log slow queries** for performance tuning

***