> ## Documentation Index
> Fetch the complete documentation index at: https://braintrust.dev/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Python SDK quickstart

> Install the Braintrust Python SDK, instrument your application, and verify that traces appear in Braintrust.

## Setup

In your project directory, run the <Tooltip tip="Requires Claude Code or Codex installed locally.">agent-assisted</Tooltip> setup script:

```bash theme={"theme":{"light":"github-light","dark":"github-dark-dimmed"}}
curl -fsSL https://braintrust.dev/wizard/setup.sh | sh
```

It uses your installed coding agent to install the Braintrust SDK, inspect your project, and configure tracing.

No coding agent installed? [Install and instrument manually](/sdks/python/install-and-instrument).

## Verify tracing

Run your app and make an AI call. A trace will show up in your [Braintrust Logs](https://www.braintrust.dev/app/~/logs), usually within seconds.

<Check>If traces appear in Braintrust, you've successfully set up the SDK.</Check>

If your traces don't appear in Braintrust, see [Troubleshooting](/sdks/python/troubleshooting).

## Next steps

Learn more about using the SDK to observe, evaluate, and improve your AI application:

* [Instrument](/instrument) — trace LLM calls and application logic
* [Observe](/observe) — search and analyze production traces
* [Annotate](/annotate) — label traces and build datasets
* [Evaluate](/evaluate) — measure quality and catch regressions
* [Deploy](/deploy) — ship to production with the AI gateway