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OpenTelemetry

Mastra supports OpenTelemetry (OTEL) through an exporter for sending traces and logs to OTEL-compatible platforms and a bridge for participating in existing OTEL tracing contexts.

Exporter
Direct link to Exporter

The OpenTelemetry exporter sends your traces and logs using standardized OpenTelemetry Semantic Conventions for GenAI. This ensures broad compatibility with platforms like Datadog, New Relic, SigNoz, MLflow, Latitude, Dash0, Traceloop, Laminar, telemetry.dev, and more.

Installation
Direct link to Installation

Each provider requires specific protocol packages. Install the base exporter plus the protocol package for your provider:

For HTTP/Protobuf Providers (SigNoz, New Relic, Laminar, MLflow, Latitude, telemetry.dev)
Direct link to For HTTP/Protobuf Providers (SigNoz, New Relic, Laminar, MLflow, Latitude, telemetry.dev)

npm install @mastra/otel-exporter@latest @opentelemetry/exporter-trace-otlp-proto

For gRPC Providers (Dash0, Datadog)
Direct link to for-grpc-providers-dash0-datadog

npm install @mastra/otel-exporter@latest @opentelemetry/exporter-trace-otlp-grpc @grpc/grpc-js

For HTTP/JSON Providers (Traceloop)
Direct link to For HTTP/JSON Providers (Traceloop)

npm install @mastra/otel-exporter@latest @opentelemetry/exporter-trace-otlp-http

Environment variables
Direct link to Environment variables

All providers support zero-config setup via environment variables. Set the appropriate variables and the exporter will automatically use them:

ProviderEnvironment Variables
Dash0DASH0_API_KEY (required), DASH0_ENDPOINT (required), DASH0_DATASET (optional)
SigNozSIGNOZ_API_KEY (required), SIGNOZ_REGION (optional), SIGNOZ_ENDPOINT (optional)
New RelicNEW_RELIC_LICENSE_KEY (required), NEW_RELIC_ENDPOINT (optional)
TraceloopTRACELOOP_API_KEY (required), TRACELOOP_DESTINATION_ID, TRACELOOP_ENDPOINT (optional)
LaminarLMNR_PROJECT_API_KEY (required), LAMINAR_ENDPOINT (optional)

Provider configurations
Direct link to Provider configurations

MLflow
Direct link to MLflow

MLflow supports native Mastra tracing through its OTLP endpoint at /v1/traces. Use the custom provider with HTTP/Protobuf and include the experiment header so traces are routed to the correct MLflow experiment:

src/mastra/index.ts
new OtelExporter({
provider: {
custom: {
endpoint: `${process.env.MLFLOW_TRACKING_URI}/v1/traces`,
protocol: 'http/protobuf',
headers: {
'x-mlflow-experiment-id': process.env.MLFLOW_EXPERIMENT_ID,
},
},
},
})

Latitude
Direct link to Latitude

Latitude is an open-source LLM observability and evaluation platform that ingests OTLP traces. Use the custom provider with HTTP/Protobuf, pointing at Latitude's ingestion endpoint and authenticating with your API key and project slug:

src/mastra/index.ts
new OtelExporter({
provider: {
custom: {
endpoint: 'https://ingest.latitude.so/v1/traces',
protocol: 'http/protobuf',
headers: {
Authorization: `Bearer ${process.env.LATITUDE_API_KEY}`,
'X-Latitude-Project': process.env.LATITUDE_PROJECT,
},
},
},
})

Sign up at console.latitude.so, or self-host and point the endpoint at your own ingestion host.

telemetry.dev
Direct link to telemetry.dev

telemetry.dev ingests OTLP/HTTP protobuf traces and normalizes OpenTelemetry GenAI semantic conventions into model, provider, token, latency, and cost fields. Use the custom provider with your project API key:

.env
TELEMETRY_DEV_API_KEY=td_live_...
src/mastra/index.ts
new OtelExporter({
provider: {
custom: {
endpoint: 'https://ingest.telemetry.dev/v1/traces',
protocol: 'http/protobuf',
headers: {
Authorization: `Bearer ${process.env.TELEMETRY_DEV_API_KEY}`,
},
},
},
})

Dash0
Direct link to Dash0

Dash0 provides real-time observability with automatic insights.

Zero-Config Setup
Direct link to Zero-Config Setup

Set environment variables and use the exporter with an empty config:

.env
# Required
DASH0_API_KEY=your-api-key
DASH0_ENDPOINT=ingress.us-west-2.aws.dash0.com:4317

# Optional
DASH0_DATASET=production
src/mastra/index.ts
import { Mastra } from '@mastra/core'
import { Observability } from '@mastra/observability'
import { OtelExporter } from '@mastra/otel-exporter'

export const mastra = new Mastra({
observability: new Observability({
configs: {
otel: {
serviceName: 'my-service',
exporters: [new OtelExporter({ provider: { dash0: {} } })],
},
},
}),
})
Explicit Configuration
Direct link to Explicit Configuration
src/mastra/index.ts
import { Mastra } from '@mastra/core'
import { Observability } from '@mastra/observability'
import { OtelExporter } from '@mastra/otel-exporter'

export const mastra = new Mastra({
observability: new Observability({
configs: {
otel: {
serviceName: 'my-service',
exporters: [
new OtelExporter({
provider: {
dash0: {
apiKey: process.env.DASH0_API_KEY,
endpoint: process.env.DASH0_ENDPOINT, // e.g., 'ingress.us-west-2.aws.dash0.com:4317'
dataset: 'production', // Optional dataset name
},
},
resourceAttributes: {
// Optional OpenTelemetry Resource Attributes for the trace
['deployment.environment']: 'dev',
},
}),
],
},
},
}),
})
note

Get your Dash0 endpoint from your dashboard. It should be in the format ingress.{region}.aws.dash0.com:4317.

SigNoz
Direct link to signoz

SigNoz is an open-source APM alternative with built-in Tracing support.

Zero-Config Setup
Direct link to Zero-Config Setup
.env
# Required
SIGNOZ_API_KEY=your-api-key

# Optional
SIGNOZ_REGION=us # 'us' | 'eu' | 'in'
SIGNOZ_ENDPOINT=https://my-signoz.example.com # For self-hosted
src/mastra/index.ts
new OtelExporter({ provider: { signoz: {} } })
Explicit Configuration
Direct link to Explicit Configuration
src/mastra/index.ts
new OtelExporter({
provider: {
signoz: {
apiKey: process.env.SIGNOZ_API_KEY,
region: 'us', // 'us' | 'eu' | 'in'
// endpoint: 'https://my-signoz.example.com', // For self-hosted
},
},
})

New Relic
Direct link to New Relic

New Relic provides complete observability with AI monitoring capabilities.

Zero-Config Setup
Direct link to Zero-Config Setup
.env
# Required
NEW_RELIC_LICENSE_KEY=your-license-key

# Optional
NEW_RELIC_ENDPOINT=https://otlp.eu01.nr-data.net # For EU region
src/mastra/index.ts
new OtelExporter({ provider: { newrelic: {} } })
Explicit Configuration
Direct link to Explicit Configuration
src/mastra/index.ts
new OtelExporter({
provider: {
newrelic: {
apiKey: process.env.NEW_RELIC_LICENSE_KEY,
// endpoint: 'https://otlp.eu01.nr-data.net', // For EU region
},
},
})

Traceloop
Direct link to Traceloop

Traceloop specializes in LLM observability with automatic prompt tracking.

Zero-Config Setup
Direct link to Zero-Config Setup
.env
# Required
TRACELOOP_API_KEY=your-api-key

# Optional
TRACELOOP_DESTINATION_ID=my-destination
TRACELOOP_ENDPOINT=https://custom.traceloop.com
src/mastra/index.ts
new OtelExporter({ provider: { traceloop: {} } })
Explicit Configuration
Direct link to Explicit Configuration
src/mastra/index.ts
new OtelExporter({
provider: {
traceloop: {
apiKey: process.env.TRACELOOP_API_KEY,
destinationId: 'my-destination', // Optional
},
},
})

Laminar
Direct link to Laminar

Laminar provides specialized LLM observability and analytics.

Zero-Config Setup
Direct link to Zero-Config Setup
.env
# Required
LMNR_PROJECT_API_KEY=your-api-key

# Optional
LAMINAR_ENDPOINT=https://api.lmnr.ai/v1/traces
src/mastra/index.ts
new OtelExporter({ provider: { laminar: {} } })
Explicit Configuration
Direct link to Explicit Configuration
src/mastra/index.ts
new OtelExporter({
provider: {
laminar: {
apiKey: process.env.LMNR_PROJECT_API_KEY,
},
},
})
Laminar-Native Exporter

For Laminar-specific features like native span paths, metadata, and tags rendering in the Laminar dashboard, consider using the dedicated @mastra/laminar exporter instead. It provides optimized integration with Laminar's platform.

Datadog
Direct link to Datadog

Datadog APM provides application performance monitoring with distributed tracing. To send traces to Datadog via OTLP, you need the Datadog Agent running with OTLP ingestion enabled.

Datadog uses gRPC for OTLP ingestion, which requires explicit imports and bundler configuration to work correctly:

src/mastra/index.ts
// Explicitly import gRPC dependencies for the bundler
import '@grpc/grpc-js'
import '@opentelemetry/exporter-trace-otlp-grpc'
import { Mastra } from '@mastra/core'
import { Observability } from '@mastra/observability'
import { OtelExporter, type ExportProtocol } from '@mastra/otel-exporter'

export const mastra = new Mastra({
// Add grpc-js to externals so it's handled at runtime
bundler: {
externals: ['@grpc/grpc-js'],
},
observability: new Observability({
configs: {
default: {
serviceName: 'my-service',
exporters: [
new OtelExporter({
provider: {
custom: {
endpoint: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4317',
protocol: (process.env.OTEL_EXPORTER_OTLP_PROTOCOL || 'grpc') as ExportProtocol,
headers: {},
},
},
}),
],
},
},
}),
})
note

The Datadog Agent must be configured with OTLP ingestion enabled. Add the following to your datadog.yaml:

otlp_config:
receiver:
protocols:
grpc:
endpoint: 0.0.0.0:4317

The default OTLP endpoint is http://localhost:4317 when running the Datadog Agent locally.

warning

The explicit imports of @grpc/grpc-js and @opentelemetry/exporter-trace-otlp-grpc at the top of the file, along with the bundler.externals configuration, are required for the gRPC transport to work correctly. Without these, you may encounter connection issues.

Datadog-Native Exporter

For Datadog-specific features like automatic span type mapping, LLM span categorization, and simplified setup without gRPC configuration, consider using the dedicated @mastra/datadog exporter instead. It provides optimized integration with Datadog's APM platform.

Custom/Generic OTEL Endpoints
Direct link to Custom/Generic OTEL Endpoints

For other OTEL-compatible platforms or custom collectors:

src/mastra/index.ts
new OtelExporter({
provider: {
custom: {
endpoint: 'https://your-collector.example.com/v1/traces',
protocol: 'http/protobuf', // 'http/json' | 'http/protobuf' | 'grpc'
headers: {
'x-api-key': process.env.API_KEY,
},
},
},
})

Signals
Direct link to Signals

The exporter sends two OpenTelemetry signals:

  • Traces: Mastra spans, exported via BatchSpanProcessor.
  • Logs: Mastra log events, exported via BatchLogRecordProcessor. Logs that carry traceId and spanId are correlated with traces using both the OTEL log record's native trace context and mastra.traceId / mastra.spanId attributes, so backends like Datadog, Grafana, and Honeycomb can join logs to traces automatically.

Both signals are enabled by default and share the same provider configuration. The log endpoint is derived from the trace endpoint by replacing the /v1/traces suffix with /v1/logs.

To disable a signal, set the signals option:

src/mastra/index.ts
new OtelExporter({
provider: {/* ... */},
signals: {
traces: true, // default
logs: false, // disable log export
},
})

Log export requires installing the matching OTLP log exporter package for your protocol:

# HTTP/JSON
npm install @opentelemetry/exporter-logs-otlp-http
# HTTP/Protobuf
npm install @opentelemetry/exporter-logs-otlp-proto
# gRPC
npm install @opentelemetry/exporter-logs-otlp-grpc @grpc/grpc-js

If the matching log exporter package isn't installed, log export is silently disabled and traces continue to work.

Configuration options
Direct link to Configuration options

Complete Configuration
Direct link to Complete Configuration

new OtelExporter({
// Provider configuration (required)
provider: {
// Use one of: dash0, signoz, newrelic, traceloop, laminar, custom
},

// Per-signal toggles. Both default to true.
signals: {
traces: true,
logs: true,
},

// Export configuration
timeout: 30000, // Export timeout in milliseconds
batchSize: 100, // Number of spans/logs per batch

// Debug options
logLevel: 'info', // 'debug' | 'info' | 'warn' | 'error'
})

OpenTelemetry semantic conventions
Direct link to opentelemetry-semantic-conventions

The exporter follows OpenTelemetry Semantic Conventions for GenAI v1.38.0, ensuring compatibility with observability platforms:

Span Naming
Direct link to Span Naming

  • LLM Operations: chat {model}
  • Tool Execution: execute_tool {tool_name}
  • Agent Runs: invoke_agent {agent_id}
  • Workflow Runs: invoke_workflow {workflow_id}

Key Attributes
Direct link to Key Attributes

  • gen_ai.operation.name - Operation type (chat, tool.execute, etc.)
  • gen_ai.provider.name - AI provider (openai, anthropic, etc.)
  • gen_ai.request.model - Model identifier
  • gen_ai.input.messages - Chat history provided to the model
  • gen_ai.output.messages - Messages returned by the model
  • gen_ai.usage.input_tokens - Number of input tokens
  • gen_ai.usage.output_tokens - Number of output tokens
  • gen_ai.request.temperature - Sampling temperature
  • gen_ai.response.finish_reasons - Completion reasons

Protocol selection guide
Direct link to Protocol selection guide

Choose the right protocol package based on your provider:

ProviderProtocolRequired Package
Dash0gRPC@opentelemetry/exporter-trace-otlp-grpc
DatadoggRPC@opentelemetry/exporter-trace-otlp-grpc
SigNozHTTP/Protobuf@opentelemetry/exporter-trace-otlp-proto
New RelicHTTP/Protobuf@opentelemetry/exporter-trace-otlp-proto
TraceloopHTTP/JSON@opentelemetry/exporter-trace-otlp-http
LaminarHTTP/Protobuf@opentelemetry/exporter-trace-otlp-proto
CustomVariesDepends on your collector
warning

Make sure to install the correct protocol package for your provider. The exporter will provide a helpful error message if the wrong package is installed.

Troubleshooting
Direct link to Troubleshooting

Missing Dependency Error
Direct link to Missing Dependency Error

If you see an error like:

HTTP/Protobuf exporter is not installed (required for signoz).
To use HTTP/Protobuf export, install the required package:
npm install @opentelemetry/exporter-trace-otlp-proto

Install the suggested package for your provider.

Common Issues
Direct link to Common Issues

  1. Wrong protocol package: Verify you installed the correct exporter for your provider
  2. Invalid endpoint: Check endpoint format matches provider requirements
  3. Authentication failures: Verify API keys and headers are correct

Bridge
Direct link to Bridge

warning

The OpenTelemetry Bridge is currently experimental. APIs and configuration options may change in future releases.

The OpenTelemetry (OTEL) Bridge enables bidirectional integration between Mastra's tracing system and existing OpenTelemetry infrastructure. Unlike exporters that send trace data to external platforms, the bridge creates native OTEL spans that participate in your distributed tracing context.

When to use the bridge
Direct link to When to use the bridge

Use the OtelBridge when you:

  • Have existing OTEL instrumentation in your application (HTTP servers, database clients, etc.)
  • Want Mastra operations to appear as child spans of your existing OTEL traces
  • Need OTEL-instrumented code inside Mastra tools to maintain proper parent-child relationships
  • Are building a distributed system where trace context must propagate across services

How it works
Direct link to How it works

The OtelBridge provides two-way integration:

From OTEL to Mastra:

  • Reads from OTEL ambient context (AsyncLocalStorage) automatically
  • Inherits trace ID and parent span ID from active OTEL spans
  • Respects OTEL sampling decisions: if a trace isn't sampled, Mastra won't create spans for it
  • No manual trace ID passing required when OTEL auto-instrumentation is active

From Mastra to OTEL:

  • Creates native OTEL spans for Mastra operations (agents, LLM calls, tools, workflows)
  • Maintains proper parent-child relationships in distributed traces
  • Allows OTEL-instrumented code (HTTP clients, database calls) within Mastra operations to nest correctly
  • Forwards Mastra log events to the globally registered OTEL LoggerProvider. Logs that originate inside a Mastra span are emitted under that span's OTEL context so backends correlate them with the trace. If no LoggerProvider is registered, log emission is a silent no-op.

Installation
Direct link to Installation

npm install @mastra/otel-bridge

The bridge works with your existing OpenTelemetry setup. Depending on your configuration, you may also need some of these packages:

  • @opentelemetry/sdk-node - Core Node.js SDK for OTEL
  • @opentelemetry/auto-instrumentations-node - Auto-instrumentation for common libraries
  • @opentelemetry/exporter-trace-otlp-proto - OTLP exporter (Protobuf over HTTP)
  • @opentelemetry/exporter-trace-otlp-http - OTLP exporter (JSON over HTTP)
  • @opentelemetry/exporter-trace-otlp-grpc - OTLP exporter (gRPC)
  • @opentelemetry/sdk-trace-base - Base tracing SDK (for BatchSpanProcessor, etc.)
  • @opentelemetry/core - Core utilities (for W3CTraceContextPropagator, etc.)
  • @opentelemetry/sdk-logs and an OTLP log exporter (e.g. @opentelemetry/exporter-logs-otlp-http) - Required if you want the bridge to forward Mastra log events too

Configuration
Direct link to Configuration

Using the OtelBridge requires two steps:

  1. Configure OpenTelemetry instrumentation in your application
  2. Add the OtelBridge to your Mastra observability config

Step 1: OpenTelemetry Instrumentation
Direct link to Step 1: OpenTelemetry Instrumentation

Create an instrumentation file that initializes OTEL. This must run before your application code:

instrumentation.ts
import { NodeSDK } from '@opentelemetry/sdk-node'
import { getNodeAutoInstrumentations } from '@opentelemetry/auto-instrumentations-node'
import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-proto'
import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
import { W3CTraceContextPropagator } from '@opentelemetry/core'

const sdk = new NodeSDK({
serviceName: 'my-service',
spanProcessors: [
new BatchSpanProcessor(
new OTLPTraceExporter({
url: process.env.OTEL_EXPORTER_OTLP_ENDPOINT || 'http://localhost:4318/v1/traces',
}),
),
],
instrumentations: [getNodeAutoInstrumentations()],
textMapPropagator: new W3CTraceContextPropagator(),
})

sdk.start()

export { sdk }

Step 2: Mastra Configuration
Direct link to Step 2: Mastra Configuration

Add the OtelBridge to your Mastra observability config:

src/mastra/index.ts
import { Mastra } from '@mastra/core'
import { Observability } from '@mastra/observability'
import { OtelBridge } from '@mastra/otel-bridge'

export const mastra = new Mastra({
observability: new Observability({
configs: {
default: {
serviceName: 'my-service',
bridge: new OtelBridge(),
},
},
}),
agents: {/* your agents */},
})

No Mastra exporters are required when using the bridge. Traces are sent via your OTEL SDK configuration. You can optionally add Mastra exporters if you want to send traces to additional destinations.

Forwarding logs (optional)
Direct link to Forwarding logs (optional)

The bridge also forwards Mastra log events to the globally registered OTEL LoggerProvider. To wire up logs alongside traces, register a logRecordProcessor on NodeSDK:

instrumentation.ts
import { NodeSDK } from '@opentelemetry/sdk-node'
import { OTLPLogExporter } from '@opentelemetry/exporter-logs-otlp-http'
import { BatchLogRecordProcessor } from '@opentelemetry/sdk-logs'

const sdk = new NodeSDK({
// ...trace config as usual
logRecordProcessor: new BatchLogRecordProcessor(
new OTLPLogExporter({
url: process.env.OTEL_EXPORTER_OTLP_LOGS_ENDPOINT || 'http://localhost:4318/v1/logs',
}),
),
})

Logs that originate inside a Mastra span are emitted under that span's OTEL context, so backends like Datadog, Grafana, and Honeycomb correlate them with the surrounding trace automatically. Logs without trace context use the currently active OTEL context.

If you don't register a LoggerProvider, log emission is a silent no-op. Traces continue to work as configured.

Running Your Application
Direct link to Running Your Application

Use the --import flag to ensure instrumentation loads before your application:

tsx --import ./instrumentation.ts ./src/index.ts

Semantic conventions
Direct link to Semantic conventions

The OtelBridge exports Mastra spans using OpenTelemetry Semantic Conventions for GenAI v1.38.0. This includes standardized span names (chat {model}, execute_tool {tool_name}, etc.) and attributes (gen_ai.usage.input_tokens, gen_ai.request.model, etc.).

For details on span naming and attributes, see the OpenTelemetry Exporter semantic conventions.

Trace hierarchy
Direct link to Trace hierarchy

With the OtelBridge, your traces maintain proper hierarchy across OTEL and Mastra boundaries:

HTTP POST /api/chat (from Hono middleware)
└── agent.assistant (from Mastra via OtelBridge)
├── chat gpt-5.4 (LLM call)
├── tool.execute search (tool execution)
│ └── HTTP GET api.example.com (from OTEL auto-instrumentation)
└── chat gpt-5.4 (follow-up LLM call)

Multi-service distributed tracing
Direct link to Multi-service distributed tracing

The OtelBridge enables trace propagation across service boundaries. When Service A calls Service B via HTTP, trace context propagates automatically:

Service A: HTTP POST /api/process
└── HTTP POST service-b/api/analyze (outgoing call)

Service B: HTTP POST /api/analyze (incoming call - same trace!)
└── agent.analyzer (Mastra agent inherits trace context)
└── chat gpt-5.4

Both services must have:

  1. OTEL instrumentation configured
  2. W3C Trace Context propagator enabled
  3. Mastra with OtelBridge configured

Using tags
Direct link to Using tags

Tags help you categorize and filter traces in your OTEL backend. Add tags when executing agents or workflows:

const result = await agent.generate('Hello', {
tracingOptions: {
tags: ['production', 'experiment-v2', 'user-request'],
},
})

Tags are exported as a JSON string in the mastra.tags span attribute for broad backend compatibility. Common use cases include:

  • Environment labels: "production", "staging"
  • Experiment tracking: "experiment-v1", "control-group"
  • Priority levels: "priority-high", "batch-job"

Troubleshooting
Direct link to Troubleshooting

If traces aren't displaying or connecting as expected:

  • Verify OTEL SDK is initialized before Mastra (use the --import flag or import at the top of the entry point)
  • Ensure the OtelBridge is added to your observability config
  • Check that your OTEL backend is running and accessible