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

# Self-host Laminar with Docker Compose

Docker Compose runs a lightweight, single-node Laminar on one machine: frontend, app server, PostgreSQL, ClickHouse, and Quickwit for full-text search. It is the fastest way to self-host for local development and small deployments. For the full production stack (with RabbitMQ, Redis, and a dedicated processing consumer), use the [Helm chart](/docs/self-hosting/kubernetes) on Kubernetes.

## Install

```bash theme={null}
git clone https://github.com/lmnr-ai/lmnr
cd lmnr
docker compose up -d
```

The dashboard is available at `http://localhost:5667/`. Create a project through the onboarding flow, then grab your project API key from project settings.

<Note>
  `docker compose up -d` brings up the lightweight stack. For a heavier single-node setup closer to production, the repo also ships `docker-compose-full.yml` (`docker compose -f docker-compose-full.yml up -d`), which adds RabbitMQ for queued span processing.
</Note>

## Point the SDK to your instance

Initialize the SDK with the local app server's host and ports. `baseUrl` / `base_url` is the scheme and host only; the ports go in `httpPort` / `grpcPort`.

<Tabs items={['TypeScript', 'Python']}>
  <Tab title="TypeScript">
    ```typescript theme={null}
    import { Laminar } from '@lmnr-ai/lmnr';

    Laminar.initialize({
      projectApiKey: "<YOUR_PROJECT_API_KEY>",
      baseUrl: "http://localhost",
      httpPort: 8000,
      grpcPort: 8001,
    });
    ```
  </Tab>

  <Tab title="Python">
    ```python theme={null}
    from lmnr import Laminar

    Laminar.initialize(
        project_api_key="<YOUR_PROJECT_API_KEY>",
        base_url="http://localhost",
        http_port=8000,
        grpc_port=8001,
    )
    ```
  </Tab>
</Tabs>

## Access control

By default, any user can sign in to your self-hosted instance. To restrict access to specific GitHub users, enable GitHub OAuth:

```bash theme={null}
AUTH_GITHUB_ID=your_github_oauth_app_id
AUTH_GITHUB_SECRET=your_github_oauth_app_secret
```

Then create an `allowed-emails.json` file in your project root:

```json theme={null}
{
  "emails": [
    "user1@example.com",
    "user2@example.com"
  ]
}
```

## AI features

Chat-with-trace, SQL-with-AI, and [Signals](/docs/signals/introduction) need an LLM provider. Set the provider and key in your environment before bringing the stack up:

```bash theme={null}
LLM_PROVIDER=gemini       # gemini (default), openai, or bedrock
LLM_API_KEY=your-llm-key
```

The Helm chart exposes the same variables plus per-tier model overrides and OpenAI-compatible gateways. See the [configuration reference](/docs/self-hosting/configuration#ai-features-and-llm-provider) for the full set.

## What's next

<CardGroup cols={2}>
  <Card title="Kubernetes (Helm)" icon="server" href="/docs/self-hosting/kubernetes">
    Move to a production Kubernetes deployment when you outgrow a single node.
  </Card>

  <Card title="Configuration reference" icon="sliders" href="/docs/self-hosting/configuration">
    AI features, Signals, Slack, OAuth, storage, and TLS.
  </Card>

  <Card title="Start tracing" icon="play" href="/docs/tracing/introduction">
    Send your first traces to the local instance.
  </Card>

  <Card title="View traces" icon="eye" href="/docs/platform/viewing-traces">
    Read the transcript view instead of a tree of span names.
  </Card>
</CardGroup>