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

# OpenTelemetry

> Export RAIL scores as OpenTelemetry spans for full observability.

## Installation

```bash theme={null}
pip install "rail-score-sdk[telemetry]"
```

## Setup

```python theme={null}
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from rail_score_sdk import RailScoreClient
from rail_score_sdk.telemetry import RAILTelemetry

# Configure OTEL exporter
provider = TracerProvider()
exporter = OTLPSpanExporter(endpoint="http://localhost:4317")
provider.add_span_processor(BatchSpanProcessor(exporter))
trace.set_tracer_provider(provider)

# Enable RAIL telemetry
rail = RailScoreClient(api_key="YOUR_RAIL_API_KEY")
RAILTelemetry.instrument(rail)

# All eval() calls now emit spans automatically
result = rail.eval(content="Your text here", mode="basic")
```

## Span attributes

Every `rail.eval()` call emits a span with these attributes:

| Attribute                    | Type     | Description               |
| ---------------------------- | -------- | ------------------------- |
| `rail.score`                 | `float`  | Overall RAIL score        |
| `rail.confidence`            | `float`  | Score confidence          |
| `rail.mode`                  | `string` | `basic` or `deep`         |
| `rail.credits_consumed`      | `float`  | Credits charged           |
| `rail.from_cache`            | `bool`   | Whether result was cached |
| `rail.dim.{name}.score`      | `float`  | Per-dimension score       |
| `rail.dim.{name}.confidence` | `float`  | Per-dimension confidence  |

## Viewing traces

RAIL spans integrate with any OTEL-compatible backend: Jaeger, Tempo, Honeycomb, Datadog, New Relic, or Langfuse.

```bash theme={null}
# Start a local Jaeger instance for development
docker run -p 16686:16686 -p 4317:4317 jaegertracing/all-in-one
```

Open `http://localhost:16686` to view traces.