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

# Datadog

> Send traces to Datadog

With [Datadog LLM Observability](https://docs.datadoghq.com/llm_observability), you can investigate the root cause of issues, monitor operational performance, and evaluate the quality, privacy, and safety of your LLM applications.

## Step 1: Create a Datadog API key

In Datadog, go to **Organization Settings > API Keys** and create a new key.

## Step 2: Enable Broadcast in OpenRouter

Go to [Settings > Observability](https://openrouter.ai/settings/observability) and toggle **Enable Broadcast**.

<Frame>
  <img src="https://mintcdn.com/openrouter-d02e98a0/PSwwwiCqAD_BNeni/assets/guides/features/broadcast/arize/broadcast-enable.png?fit=max&auto=format&n=PSwwwiCqAD_BNeni&q=85&s=a48ecd5df85b4e6f3982c8402671f631" alt="Enable Broadcast" width="2692" height="1296" data-path="assets/guides/features/broadcast/arize/broadcast-enable.png" />
</Frame>

## Step 3: Configure Datadog

Click the edit icon next to **Datadog** and enter:

* **Api Key**: Your Datadog API key
* **Ml App**: A name for your application (e.g., "production-app")
* **Url** (optional): Default is `https://api.datadoghq.com` (US1). Change for other regions

<Frame>
  <img src="https://mintcdn.com/openrouter-d02e98a0/PSwwwiCqAD_BNeni/assets/guides/features/broadcast/datadog/broadcast-datadog-config.png?fit=max&auto=format&n=PSwwwiCqAD_BNeni&q=85&s=c4430ee6ac51388c192246329cce2355" alt="Datadog Configuration" width="1196" height="1039" data-path="assets/guides/features/broadcast/datadog/broadcast-datadog-config.png" />
</Frame>

## Step 4: Test and save

Click **Test Connection** to verify the setup. The configuration only saves if the test passes.

<Frame>
  <img src="https://mintcdn.com/openrouter-d02e98a0/PSwwwiCqAD_BNeni/assets/guides/features/broadcast/datadog/broadcast-datadog-configured.png?fit=max&auto=format&n=PSwwwiCqAD_BNeni&q=85&s=287ab5d0c5c9ba9d87efbdbf7bfc4b54" alt="Datadog Configured" width="1244" height="723" data-path="assets/guides/features/broadcast/datadog/broadcast-datadog-configured.png" />
</Frame>

## Step 5: Send a test trace

Make an API request through OpenRouter and view the trace in Datadog.

<Frame>
  <img src="https://mintcdn.com/openrouter-d02e98a0/PSwwwiCqAD_BNeni/assets/guides/features/broadcast/datadog/broadcast-datadog-trace.png?fit=max&auto=format&n=PSwwwiCqAD_BNeni&q=85&s=87e0358899e1431f5bb3d067dd031af5" alt="Datadog Trace" width="1563" height="1225" data-path="assets/guides/features/broadcast/datadog/broadcast-datadog-trace.png" />
</Frame>

## Custom Metadata

Datadog LLM Observability supports tags and custom metadata for organizing and filtering your traces.

### Supported Metadata Keys

| Key               | Datadog Mapping | Description                                 |
| ----------------- | --------------- | ------------------------------------------- |
| `trace_id`        | Trace ID        | Group multiple requests into a single trace |
| `trace_name`      | Span Name       | Custom name for the root span               |
| `span_name`       | Span Name       | Name for intermediate workflow spans        |
| `generation_name` | Span Name       | Name for the LLM span                       |

### Tags and Metadata

Datadog uses tags for filtering and grouping traces. The following are automatically added as tags:

* `service:{ml_app}` - Your configured ML App name
* `user_id:{user}` - From the `user` field in your request

Any additional keys in `trace` are passed to the span's `meta` object and can be viewed in Datadog's trace details.

### Example

```json lines theme={null}
{
  "model": "openai/gpt-4o",
  "messages": [{ "role": "user", "content": "Hello!" }],
  "user": "user_12345",
  "session_id": "session_abc",
  "trace": {
    "trace_name": "Customer Support Bot",
    "environment": "production",
    "team": "support",
    "ticket_id": "TICKET-1234"
  }
}
```

### Viewing in Datadog

In Datadog LLM Observability, you can:

* Filter traces by tags in the trace list
* View custom metadata in the trace details panel
* Create monitors and dashboards using metadata fields

## Privacy Mode

When [Privacy Mode](/docs/guides/features/broadcast#privacy-mode) is enabled for this destination, prompt and completion content is excluded from traces. All other trace data — token usage, costs, timing, model information, and custom metadata — is still sent normally. See [Privacy Mode](/docs/guides/features/broadcast#privacy-mode) for details.