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

# Build with Dreamtune

> One API key for models, tools, GPU compute and observability.

Connect your application or agent to Dreamtune with a workspace API key. Use the
TypeScript SDK, terminal CLI, or MCP connection to run supported operations and
inspect their progress and charges.

<Columns cols={2}>
  <Card title="Make your first request" icon="rocket" href="/quickstart">
    Create a key, install the SDK and discover tools.
  </Card>

  <Card title="Connect an agent" icon="plug" href="/mcp">
    Use the hosted MCP endpoint or a local stdio server.
  </Card>

  <Card title="Run models and tools" icon="code" href="/models">
    Send model requests and connect function calls to tools you authorize.
  </Card>

  <Card title="Rent a GPU" icon="microchip" href="/compute">
    Discover available machines, connect and stop a rental.
  </Card>
</Columns>

## Choose your connection

| You are building with | Use |
| - | - |
| The Dreamtune website | Your browser and dashboard |
| A Node.js application | [TypeScript SDK](/sdk) |
| A terminal | [Dreamtune CLI](/cli) |
| An MCP-compatible agent | [Hosted or local MCP](/mcp) |
| An agent that loads skills | [Bundled skills](/skills) |

## Track the work

[Observability](/observability) connects requests to stages, sessions, captured
content and recorded usage. Access follows the workspace and scopes of your key.
[Billing](/billing) explains wallet credit, optional key limits and final receipts.

The SDK package is `@dreamtune/sdk`. Its local agent commands run on your own
computer; they do not create a hosted agent deployment. Use the documented
Dreamtune client methods rather than assuming OpenAI-compatible endpoints.


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