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Mastra does not have a dedicated auto-instrument yet. Until it lands, use the TruLayer TypeScript SDK’s generic trace / span API — the pattern below covers every Mastra primitive.

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Install

npm install @trulayer/sdk @mastra/core

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Instrument an agent run

Wrap each agent.generate() or agent.stream() call in a trace. If you also call the Vercel AI SDK or OpenAI SDK from within tools, stack the corresponding TruLayer instrumentations so nested spans show up in the waterfall. 
import { TruLayer, instrumentVercelAI } from "@trulayer/sdk";
import { Mastra } from "@mastra/core";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
import { generateText } from "ai";

const tl = new TruLayer({
  apiKey: process.env.TRULAYER_API_KEY!,
  projectName: "my-app",
});

// If your Mastra tools call the Vercel AI SDK directly, instrument it too.
const ai = instrumentVercelAI(tl, { generateText });

const agent = new Agent({
  name: "support",
  instructions: "You are a concise support agent.",
  model: openai("gpt-4o-mini"),
});

const mastra = new Mastra({ agents: { agent } });

await tl.trace("support-agent", async (trace) => {
  const result = await trace.span("agent:support", async (span) => {
    span.setInput({ question: "Where is my order?" });
    const res = await mastra.getAgent("agent").generate("Where is my order?");
    span.setOutput(res.text);
    return res;
  });
  return result;
});

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Instrument a workflow step

await tl.trace("order-workflow", async (trace) => {
  await trace.span("step:fetch-order", async (span) => {
    span.setInput({ orderId });
    const order = await fetchOrder(orderId);
    span.setOutput(order);
  });

  await trace.span("step:summarise", { spanType: "llm" }, async (span) => {
    const text = await ai.generateText({
      model: openai("gpt-4o-mini"),
      prompt: `Summarise: ${JSON.stringify(order)}`,
    });
    span.setOutput(text);
  });
});

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What gets captured

  • A trace per workflow or agent run.
  • One span per workflow step or tool invocation (whatever you wrap).
  • Nested llm spans automatically when the Vercel AI SDK or OpenAI SDK is also instrumented — no extra code required.

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Known gotchas

  • No auto-discovery yet. You must wrap each Mastra entry point explicitly. A dedicated instrumentMastra helper is on the roadmap.
  • Next.js Edge runtime is unsupported. Use export const runtime = "nodejs" on any Route Handler that invokes instrumented code.
  • Streaming. When using agent.stream(), keep the span open until the stream completes (for await loop inside the span(...) callback) so token counts are recorded.