Documentation
Anthropic Example
Track Anthropic messages with token extraction and request telemetry.
Same pattern as OpenAI — extract model, tokens, and latency from Anthropic responses.
anthropic.ts
typescript
import Anthropic from '@anthropic-ai/sdk'
import { PromptLayer } from '@promptlayerapp/js'
const anthropic = new Anthropic()
const promptlayer = new PromptLayer({
apiKey: process.env.PROMPTLAYER_API_KEY!,
projectId: process.env.PROMPTLAYER_PROJECT_ID!,
})
const startedAt = Date.now()
const message = await anthropic.messages.create({
model: 'claude-haiku-4-5-20251001',
max_tokens: 1024,
messages: [{ role: 'user', content: 'Draft a reply to the customer' }],
})
await promptlayer.trackRequest({
provider: 'anthropic',
model: 'claude-haiku-4-5-20251001',
feature: 'customer_reply',
requestId: message.id,
inputTokens: message.usage.input_tokens,
outputTokens: message.usage.output_tokens,
latencyMs: Date.now() - startedAt,
status: 'success',
})
await promptlayer.flush()
Usage mapping
| Anthropic field | PromptLayer field |
|---|---|
| usage.input_tokens | inputTokens |
| usage.output_tokens | outputTokens |
| id | requestId |