# Quick Start
This guide will help you get started with Hayhooks quickly.
## Prerequisites
- Python 3.10+
- A Haystack pipeline or agent to deploy
## Installation
See [Installation](installation.md) for detailed setup instructions.
Quick install:
```bash
pip install hayhooks
```
## Basic Usage
### 1. Start Hayhooks
```bash
hayhooks run
```
This will start the Hayhooks server on `http://localhost:1416` by default.
### 2. Deploy a Pipeline
Deploy a pipeline using the `deploy-files` command:
```bash
hayhooks pipeline deploy-files -n chat_with_website examples/pipeline_wrappers/chat_with_website_streaming
```
### 3. Check Status
Verify your pipeline is deployed:
```bash
hayhooks status
```
### 4. Run Your Pipeline
Run your pipeline via the API:
=== "cURL"
```bash
curl -X POST \
http://localhost:1416/chat_with_website/run \
-H 'Content-Type: application/json' \
-d '{"urls": ["https://haystack.deepset.ai"], "question": "What is Haystack?"}'
```
=== "Python"
```python
import requests
response = requests.post(
"http://localhost:1416/chat_with_website/run",
json={
"urls": ["https://haystack.deepset.ai"],
"question": "What is Haystack?"
}
)
print(response.json())
```
=== "Hayhooks CLI"
```bash
hayhooks pipeline run chat_with_website \
--param 'urls=["https://haystack.deepset.ai"]' \
--param 'question="What is Haystack?"'
```
## Quick Start with Docker Compose
For the fastest setup with Open WebUI integration, see [Quick Start with Docker Compose](quick-start-docker.md).
## Next Steps
- [Pipeline Deployment](../concepts/pipeline-deployment.md) - Learn deployment methods
- [Examples](../examples/overview.md) - Explore example implementations
