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

# Build with AI

> Context for building Veval integrations with AI coding agents.

AI coding tools write better Veval integration code when they have the right context. The [SDK reference](/llm-reference) covers every API in C#, Python, and Node on a single page, so you can load it into your tool of choice in one step.

## Load the SDK reference

Open the [SDK reference](/llm-reference) and use the page menu at the top to copy it as Markdown, or open it directly in ChatGPT, Claude, Perplexity, Cursor, or VS Code.

To load it in every session, paste it into your project's context file:

| Tool | How to load |
| - | - |
| **Cursor** | Add to your [project rules](https://cursor.com/docs/context/rules) in `.cursor/rules/` |
| **Claude Code** | Add to your `CLAUDE.md` file in the project root |
| **Codex** | Add to your `AGENTS.md` file in the project root |
| **GitHub Copilot** | Save to `.github/copilot-instructions.md` |
| **Other** | Paste into your tool's system prompt or project context |

## Documentation index

The full list of pages is available at [docs.veval.dev/llms.txt](https://docs.veval.dev/llms.txt). Point your agent at it to discover pages before reading them.

## Next steps

<CardGroup cols={2}>
  <Card title="SDK reference" icon="square-chevron-right" href="/llm-reference">
    Every API in all three languages, on one page.
  </Card>

  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Install the SDK and send your first trace.
  </Card>
</CardGroup>