Integrations
Mastra
Trace Mastra TypeScript agents in Muster via the @mastra/langfuse exporter.
Mastra is a TypeScript agent framework offering memory, tool-calling, deterministic workflows, and RAG primitives. Muster captures Mastra agent runs through the @mastra/langfuse exporter.
Setup
1. Create a Mastra project
npx create-mastra2. Configure credentials
Add to your .env:
LANGFUSE_PUBLIC_KEY="pk-lf-..."
LANGFUSE_SECRET_KEY="sk-lf-..."
LANGFUSE_BASEURL="https://app.getmuster.io"
OPENAI_API_KEY="sk-..."3. Install the exporter
npm install @mastra/langfuse4. Define an agent
// src/mastra/agents/chefAgent.ts
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
export const chefAgent = new Agent({
name: "chefAgent",
instructions: "You are a Michelin star chef. Suggest a recipe based on available ingredients.",
model: openai("gpt-4o-mini"),
});5. Register the agent and configure the Muster exporter
// src/mastra/index.ts
import { Mastra } from "@mastra/core";
import { LangfuseExporter } from "@mastra/langfuse";
import { chefAgent } from "./agents/chefAgent";
export const mastra = new Mastra({
agents: { chefAgent },
telemetry: {
serviceName: "ai",
enabled: true,
export: {
type: "custom",
exporter: new LangfuseExporter({
publicKey: process.env.LANGFUSE_PUBLIC_KEY!,
secretKey: process.env.LANGFUSE_SECRET_KEY!,
baseUrl: process.env.LANGFUSE_BASEURL,
}),
},
},
});6. Run the dev server
npm run devEvery agent invocation produces a trace in Muster.
Configuration Modes
The exporter supports two modes:
- Realtime (development): flush after each event with
realtime: true. - Batch (production, default): buffer and send in batches.
Additional options: baseUrl, logLevel, environment, version,
release.
Troubleshooting
- For Next.js-specific issues see the upstream Mastra Next.js tracing docs.
- Missing traces — follow the upstream missing traces guide.