DatadogExporter

Sends Tracing data to Datadog's LLM Observability product for monitoring and analytics.

备注

If you also use dd-trace APM auto-instrumentation and need it correctly parented under Mastra spans, use the DatadogBridge instead. The exporter sends LLM Observability data after execution completes, so it doesn't participate in dd-trace's live scope.

Constructor

new DatadogExporter(config: DatadogExporterConfig)

DatadogExporterConfig

interface DatadogExporterConfig extends BaseExporterConfig {
  apiKey?: string
  mlApp?: string
  site?: string
  service?: string
  env?: string
  agentless?: boolean
  integrationsEnabled?: boolean
  flushGraceMs?: number
}

Extends BaseExporterConfig, which includes:

• logger?: IMastraLogger - Logger instance
• logLevel?: LogLevel | 'debug' | 'info' | 'warn' | 'error' - Log level (default: INFO)

Methods

exportTracingEvent

async exportTracingEvent(event: TracingEvent): Promise<void>

Exports a tracing event to Datadog LLM Observability.

flush

async flush(): Promise<void>

Force flushes any buffered spans to Datadog without shutting down the exporter. Useful in serverless environments where you need to ensure spans are exported before the runtime terminates.

The flush is best-effort: dd-trace sends LLM Observability data from a background writer and gives no way to await the request, so flush() waits flushGraceMs (default 2000 ms) after asking dd-trace to flush. Each flush that sent new data costs that full wait, so a serverless handler that awaits flush() per request pays it per request. Raise it if spans from short-lived processes are missing in Datadog, or set it to 0 to skip the wait when something else keeps the process alive.

shutdown

async shutdown(): Promise<void>

Flushes pending data and shuts down the exporter. Cancels any pending cleanup timers and disables LLM Observability.

Usage

Zero-Config (using environment variables)

import { DatadogExporter } from '@mastra/datadog'

// Reads from DD_LLMOBS_ML_APP, DD_API_KEY, DD_SITE, DD_ENV
const exporter = new DatadogExporter()

Explicit Configuration

import { DatadogExporter } from '@mastra/datadog'

const exporter = new DatadogExporter({
  mlApp: 'my-llm-app',
  apiKey: process.env.DD_API_KEY,
  site: 'datadoghq.com',
  env: 'production',
})

With Local Datadog Agent

const exporter = new DatadogExporter({
  mlApp: 'my-llm-app',
  agentless: false, // Use local Datadog Agent
  env: 'production',
})

Span mapping

Mastra span types are mapped to Datadog LLM Observability span kinds:

Mastra SpanType	Datadog Kind
AGENT_RUN	agent
MODEL_GENERATION	workflow
MODEL_STEP	llm
TOOL_CALL	tool
MCP_TOOL_CALL	tool
PROVIDER_TOOL_CALL	tool
WORKFLOW_RUN	workflow
All other types	task

All unmapped span types (including MODEL_CHUNK, WORKFLOW_STEP, GENERIC, and future span types) automatically default to task.

Environment variables

The exporter reads configuration from these environment variables:

Variable	Description
DD_API_KEY	Datadog API key
DD_LLMOBS_ML_APP	ML application name
DD_SITE	Datadog site
DD_ENV	Environment name
DD_LLMOBS_AGENTLESS_ENABLED	Set to 'false' or '0' to use local agent