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Documentation Index

Fetch the complete documentation index at: https://docs.lunary.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Exporting OpenTelemetry Traces from Python

You can send traces from any Python application or framework to Lunary using the standard OpenTelemetry SDK.

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1. Install Dependencies

pip install opentelemetry-sdk opentelemetry-exporter-otlp

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2. Configure Your Environment

Set your Lunary API key and endpoint as OTEL environment variables: 
import os

os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = "https://api.lunary.ai/v1/otel"
os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Bearer {os.environ['LUNARY_PUBLIC_KEY']}"

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3. Set up OTEL Tracing

from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry import trace

trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)

exporter = OTLPSpanExporter()
trace.get_tracer_provider().add_span_processor(BatchSpanProcessor(exporter))

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4. Emit Traces

You can now add spans to your code: 
with tracer.start_as_current_span("My LLM Call") as span:
    # Attach GenAI-related context
    span.set_attribute("gen_ai.request.model", "gpt-4.1")
    span.set_attribute("gen_ai.prompt.0.content", "Hello, LLM world!")
    span.set_attribute("gen_ai.usage.prompt_tokens", 25)
    # Call your LLM/model here

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Advanced: Custom Attributes

You can tag spans for sessions, users, or experiments: 
span.set_attribute("lunary.user.id", "user-123")
span.set_attribute("lunary.tags", ["my-experiment", "beta"])