# Structured Outputs

This script demonstrates various structured output capabilities of vLLM's OpenAI-compatible server.
It can run individual constraint type or all of them.
It supports both streaming responses and concurrent non-streaming requests.

To use this example, you must start an vLLM server with any model of your choice.

```bash
vllm serve Qwen/Qwen2.5-3B-Instruct
```

To serve a reasoning model, you can use the following command:

```bash
vllm serve deepseek-ai/DeepSeek-R1-Distill-Qwen-7B --reasoning-parser deepseek_r1
```

If you want to run this script standalone with `uv`, you can use the following:

```bash
uvx --from git+https://github.com/vllm-project/vllm#subdirectory=examples/online_serving/structured_outputs structured-output
```

See [feature docs](https://docs.vllm.ai/en/latest/features/structured_outputs.html) for more information.

!!! tip
    If vLLM is running remotely, then set `OPENAI_BASE_URL=<remote_url>` before running the script.

## Usage

Run all constraints, non-streaming:

```bash
uv run structured_outputs.py
```

Run all constraints, streaming:

```bash
uv run structured_outputs.py --stream
```

Run certain constraints, for example `structural_tag` and `regex`, streaming:

```bash
uv run structured_outputs.py --constraint structural_tag regex --stream
```

Run all constraints, with reasoning models and streaming:

```bash
uv run structured_outputs.py --reasoning --stream
```