Alternative clients

Logfire uses the OpenTelemetry standard. This means that you can configure standard OpenTelemetry SDKs in many languages to export to the Logfire backend. Depending on your SDK, you may need to set only these environment variables:

• OTEL_EXPORTER_OTLP_ENDPOINT=https://logfire-api.pydantic.dev for both traces and metrics, or:
  • OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=https://logfire-api.pydantic.dev/v1/traces for just traces
  • OTEL_EXPORTER_OTLP_METRICS_ENDPOINT=https://logfire-api.pydantic.dev/v1/metrics for just metrics
• OTEL_EXPORTER_OTLP_HEADERS='Authorization=your-write-token' - see Creating Write Tokens to obtain a write token and replace your-write-token with it.
• OTEL_EXPORTER_OTLP_PROTOCOL=http/protobuf to export in Protobuf format over HTTP (not gRPC). The Logfire backend supports both Protobuf and JSON, but only over HTTP for now. Some SDKs (such as Python) already use this value as the default so setting this isn't required, but other SDKs use grpc as the default.

Example with Python

First, run these commands:

pip install opentelemetry-exporter-otlp
export OTEL_EXPORTER_OTLP_ENDPOINT=https://logfire-api.pydantic.dev
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=your-write-token'

Then run this script with python:

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

exporter = OTLPSpanExporter()
span_processor = BatchSpanProcessor(exporter)
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(span_processor)
tracer = tracer_provider.get_tracer('my_tracer')

tracer.start_span('Hello World').end()

Then navigate to the Live view for your project in your browser. You should see a trace with a single span named Hello World.

To configure the exporter without environment variables:

exporter = OTLPSpanExporter(
    endpoint='https://logfire-api.pydantic.dev/v1/traces',
    headers={'Authorization': 'your-write-token'},
)

Example with Rust

First, set up a new Cargo project:

cargo new --bin otel-example && cd otel-example
export OTEL_EXPORTER_OTLP_ENDPOINT=https://logfire-api.pydantic.dev
export OTEL_EXPORTER_OTLP_HEADERS='Authorization=your-write-token'

Update the Cargo.toml and main.rs files with the following contents:

Cargo.toml

[package]
name = "otel-example"
version = "0.1.0"
edition = "2021"

[dependencies]
opentelemetry = { version = "*", default-features = false, features = ["trace"] }
# Note: `reqwest-rustls` feature is necessary else you'll have a cryptic failure to export;
# see https://github.com/open-telemetry/opentelemetry-rust/issues/2169
opentelemetry-otlp = { version = "*", default-features = false, features = ["trace", "http-proto", "reqwest-blocking-client", "reqwest-rustls"] }

src/main.rs

use opentelemetry::{
    global::ObjectSafeSpan,
    trace::{Tracer, TracerProvider},
};

fn main() -> Result<(), Box<dyn std::error::Error + Send + Sync>> {
    let otlp_exporter = opentelemetry_otlp::new_exporter()
        .http()
        .with_protocol(opentelemetry_otlp::Protocol::HttpBinary)
        // If you don't want to export environment variables, you can also configure
        // programmatically like so:
        //
        // (You'll need to add `use opentelemetry_otlp::WithExportConfig;` to the top of the
        // file to access the `.with_endpoint` method.)
        //
        // .with_endpoint("https://logfire-api.pydantic.dev/v1/traces")
        // .with_headers({
        //     let mut headers = std::collections::HashMap::new();
        //     headers.insert(
        //         "Authorization".into(),
        //         "your-write-token".into(),
        //     );
        //     headers
        // })
        ;

    let tracer_provider = opentelemetry_otlp::new_pipeline()
        .tracing()
        .with_exporter(otlp_exporter)
        .install_simple()?;
    let tracer = tracer_provider.tracer("my_tracer");

    tracer.span_builder("Hello World").start(&tracer).end();

    Ok(())
}

Finally, use cargo run to execute.