# Studio observability

Studio includes these observability views:

- **Metrics** for aggregate performance data
- **Traces** for individual request inspection

All require an [observability storage backend](#quickstart) to be configured.

## Metrics

A dashboard that summarizes agent, workflow, and tool performance over a configurable time range (last 24 hours to 30 days). The top row shows total agent runs, model cost, token consumption, and average scorer performance. Below that, detailed cards break down model usage and cost per model, token usage per agent, trace volume with completed and error counts, latency percentiles (p50 and p95), and scorer trends over time.

Visit the [metrics overview](https://mastra.ai/docs/observability/metrics/overview) for more details.

> **Note:** Metrics require a separate OLAP store for observability. Relational databases like PostgreSQL, LibSQL, etc. are not supported for metrics. In-memory storage resets on restart.

## Traces

When you run an agent or workflow, the Observability tab displays traces that highlight the key AI operations such as model calls, tool executions, and workflow steps. Follow these traces to see how data moves, where time is spent, and what's happening under the hood.

Tracing filters out low-level framework details so your traces stay focused and readable. Visit the [tracing overview](https://mastra.ai/docs/observability/tracing/overview) for more details.

## Quickstart

For detailed instructions, follow the [observability instructions](https://mastra.ai/docs/observability/overview). To get up and running quickly, add the `@mastra/observability` package to your project and configure it with [LibSQL](https://mastra.ai/reference/storage/libsql) and [DuckDB](https://mastra.ai/reference/vectors/duckdb) for a local development setup that supports both traces and metrics.

**npm**:

```bash
npm install @mastra/observability @mastra/libsql @mastra/duckdb
```

**pnpm**:

```bash
pnpm add @mastra/observability @mastra/libsql @mastra/duckdb
```

**Yarn**:

```bash
yarn add @mastra/observability @mastra/libsql @mastra/duckdb
```

**Bun**:

```bash
bun add @mastra/observability @mastra/libsql @mastra/duckdb
```

Then add the following to your `src/mastra/index.ts`:

```ts
import { Mastra } from '@mastra/core/mastra'
import { LibSQLStore } from '@mastra/libsql'
import { DuckDBStore } from '@mastra/duckdb'
import { MastraCompositeStore } from '@mastra/core/storage'
import {
  Observability,
  DefaultExporter,
  CloudExporter,
  SensitiveDataFilter,
} from '@mastra/observability'

export const mastra = new Mastra({
  storage: new MastraCompositeStore({
    id: 'composite-storage',
    default: new LibSQLStore({
      id: 'mastra-storage',
      url: 'file:./mastra.db',
    }),
    domains: {
      observability: await new DuckDBStore().getStore('observability'),
    },
  }),
  observability: new Observability({
    configs: {
      default: {
        serviceName: 'mastra',
        exporters: [
          new DefaultExporter(), // Persists traces to storage for Mastra Studio
          new CloudExporter(), // Sends traces to Mastra Cloud (if MASTRA_CLOUD_ACCESS_TOKEN is set)
        ],
        spanOutputProcessors: [
          new SensitiveDataFilter(), // Redacts sensitive data like passwords, tokens, keys
        ],
      },
    },
  }),
})
```

## Related

- [Observability overview](https://mastra.ai/docs/observability/overview)
- [Metrics overview](https://mastra.ai/docs/observability/metrics/overview)
- [Tracing overview](https://mastra.ai/docs/observability/tracing/overview)