> For the complete documentation index, see [llms.txt](https://docs.lightningrod.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lightningrod.ai/readme.md).

# Developer Platform

{% columns %}
{% column valign="middle" %}

## ⚡ Get started in 10 minutes

Configure your use case and let us handle the nitty-gritty parts of the underlying infrastructure.

Our SDK handles the complete LLM pipeline end-to-end: from dataset generation, to training and inference.

<a href="https://dashboard.lightningrod.ai/?redirect=/api" class="button primary" data-icon="rocket-launch">Start with $50 Free</a> <a href="/spaces/oPvpfTi02msoJizpbecj/pages/7FvWQMF0kTK7HGhlQfmo" class="button secondary" data-icon="book-open">Quickstart</a>
{% endcolumn %}

{% column %}
{% code title="generate\_dataset.py" %}

```python
from datetime import datetime
import lightningrod as lr

answer_type = lr.BinaryAnswerType()
pipeline = lr.QuestionPipeline(
    seed_generator=lr.NewsSeedGenerator(
        start_date=datetime(2025, 1, 1),
        end_date=datetime(2025, 2, 1),
        search_query="AI regulation",
    ),
    question_generator=lr.ForwardLookingQuestionGenerator(
        instructions="Generate questions about future AI regulations and rulings",
        answer_type=answer_type,
    ),
    labeler=lr.WebSearchLabeler(answer_type=answer_type),
)

client = lr.LightningRod(api_key="your-api-key")
dataset = client.transforms.run(pipeline, max_questions=100)
```

{% endcode %}
{% endcolumn %}
{% endcolumns %}


---

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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