ledger-sdk 2.1.0

OpenTelemetry-native observability SDK for Python web applications with FastAPI, Django, and Flask integrations

Ledger SDK for Python

OpenTelemetry-native observability for developers who just want to ship.

Supported Frameworks: FastAPI • Django • Flask

Since v2.0.0, ledger-sdk is a thin distribution of the official opentelemetry-python SDK: real TracerProvider/LoggerProvider, OTLP/HTTP export, standard semantic-convention attributes — plus Python-specific enhancements (exception capture, endpoint monitoring, log↔trace correlation, attribute truncation) layered on top. Upgrading from 1.x? See CHANGELOG.md for the full migration guide.

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Installation

pip install ledger-sdk

Setup

FastAPI

from contextlib import asynccontextmanager
from fastapi import FastAPI
from ledger import LedgerClient
from ledger.integrations.fastapi import LedgerMiddleware

ledger = LedgerClient(
    api_key="ledger_proj_1_your_api_key",
    base_url="https://ledger-server.jtuta.cloud"
)

@asynccontextmanager
async def lifespan(app: FastAPI):
    yield
    await ledger.shutdown()

app = FastAPI(lifespan=lifespan)
app.add_middleware(LedgerMiddleware, ledger_client=ledger)

Django

# settings.py
import os
from ledger import LedgerClient

LEDGER_CLIENT = LedgerClient(
    api_key=os.getenv("LEDGER_API_KEY", "ledger_proj_1_your_api_key"),
    base_url=os.getenv("LEDGER_BASE_URL", "https://ledger-server.jtuta.cloud")
)

MIDDLEWARE = [
    "django.middleware.security.SecurityMiddleware",
    "django.middleware.common.CommonMiddleware",
    "ledger.integrations.django.LedgerMiddleware",
]

Flask

from flask import Flask
from ledger import LedgerClient
from ledger.integrations.flask import LedgerMiddleware

app = Flask(__name__)
ledger = LedgerClient(
    api_key="ledger_proj_1_your_api_key",
    base_url="https://ledger-server.jtuta.cloud"
)
app.config["LEDGER_CLIENT"] = ledger
LedgerMiddleware(app)

Manual Logging

ledger.log_info("User logged in", attributes={"user_id": 123})
ledger.log_warning("Slow query", attributes={"duration_ms": 450})
ledger.log_error("Payment failed", attributes={"error_code": "CARD_DECLINED"})

try:
    result = process_payment()
except Exception as e:
    ledger.log_exception(e, message="Payment processing failed")

Configuration

ledger = LedgerClient(
    api_key="ledger_proj_1_your_api_key",
    flush_interval=5.0,             # Seconds between log/span flushes
    flush_size=1000,                # Logs before auto-flush
    max_buffer_size=10000,          # Max logs buffered in memory
    trace_sample_rate=0.1,          # Fraction of traces sampled (0.0-1.0), default 0.1
    metrics_export_interval=60.0,   # Seconds between metric exports, default 60.0
)

Use environment variables in production:

export LEDGER_API_KEY="ledger_proj_1_your_api_key"
export LEDGER_BASE_URL="https://ledger-server.jtuta.cloud"

import os

ledger = LedgerClient(
    api_key=os.getenv("LEDGER_API_KEY"),
    base_url=os.getenv("LEDGER_BASE_URL")
)

Exclude Paths

app.add_middleware(
    LedgerMiddleware,
    ledger_client=ledger,
    exclude_paths=["/health", "/metrics"]
)

By default the SDK only logs requests that match a registered route — scanner noise, 404s, and bot traffic are dropped automatically. To log everything:

app.add_middleware(
    LedgerMiddleware,
    ledger_client=ledger,
    only_registered_routes=False
)

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Distributed Tracing

Tracing is enabled automatically when you create a LedgerClient — it registers a real OpenTelemetry TracerProvider as the process-global tracer provider. Traces appear in Ledger's Trace List panel on the dashboard.

from ledger import LedgerClient, get_tracer

ledger = LedgerClient(api_key="...", base_url="...", service_name="my-service")
tracer = get_tracer(__name__)

ledger.tracer is also available directly on the client instance once constructed.

Manual spans

with tracer.start_as_current_span("process-order", attributes={"order_id": 42}) as span:
    result = process_order(42)
    span.set_attribute("status", result.status)

Cross-service propagation

Ledger uses the standard OpenTelemetry propagation API (opentelemetry.propagate), so requests/httpx calls are instrumented automatically once you call install():

import ledger.integrations.requests as ledger_requests

ledger_requests.install()  # every requests.Session.send() now propagates traceparent

To propagate manually:

import opentelemetry.propagate as propagate

with tracer.start_as_current_span("outgoing-call"):
    headers = {}
    propagate.inject(headers)
    response = httpx.get("https://downstream/api", headers=headers)

Extract context in the downstream service:

import opentelemetry.propagate as propagate

ctx = propagate.extract(request.headers)
with tracer.start_as_current_span("downstream-handler", context=ctx):
    ...

Any log emitted inside an active span automatically includes trace_id and span_id, linking logs to traces in the dashboard.

FastAPI auto-instrumentation

With LedgerMiddleware, every request automatically becomes a root span. Spans created inside request handlers are nested under it:

@app.get("/orders/{id}")
async def get_order(id: int):
    tracer = get_tracer(__name__)
    with tracer.start_as_current_span("db-fetch", attributes={"order_id": id}):
        return await db.get_order(id)

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Standard library logging bridge

Forward every logging.getLogger(...) call — yours or a third-party library's — to Ledger alongside SDK-native logs:

ledger = LedgerClient(api_key="...")
ledger.instrument_logging()

import logging
logging.getLogger(__name__).warning("this reaches Ledger too")

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Global exception capture

Catch uncaught exceptions across threads and asyncio tasks with one call:

ledger = LedgerClient(api_key="...")
ledger.capture_uncaught()

Chains to any previously-installed sys.excepthook/threading.excepthook/asyncio exception handler rather than replacing them — safe to call alongside a debugger or another monitoring tool. Idempotent (calling it twice doesn't double-log).

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before_send hook & PII scrubbing

Mutate or drop log records right before export:

def redact(record: dict) -> dict | None:
    if record["attributes"].get("internal"):
        return None  # drop internal-only logs entirely
    record["attributes"].pop("session_cookie", None)
    return record

ledger = LedgerClient(api_key="...", before_send=redact)

Or turn on the built-in scrubbers (redacts common PII: emails, credit-card-like digit sequences, Authorization/X-API-Key-shaped attributes, and any attribute key containing password/secret/token/api_key):

ledger = LedgerClient(api_key="...", scrub_pii=True)

Both together: built-in scrubbers run first, then your before_send hook.

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loguru / structlog sinks

pip install "ledger-sdk[loguru]"   # or [structlog], or [all]

# loguru
from ledger.integrations.loguru import add_loguru_sink
from loguru import logger as loguru_logger

add_loguru_sink(ledger)
loguru_logger.info("this reaches Ledger too")

# structlog
import structlog
from ledger.integrations.structlog import ledger_structlog_processor

structlog.configure(processors=[ledger_structlog_processor(ledger), structlog.processors.JSONRenderer()])

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Custom metrics

ledger.metric_increment("orders_processed", tags={"region": "eu"})
ledger.metric_gauge("queue_depth", 42)
ledger.metric_histogram("request_duration_ms", 123.4, tags={"route": "/api"})

# Or the standard OTel Meter API for full control
meter = ledger.get_meter("my-service")
meter.create_counter("requests").add(1, {"route": "/health"})

See the API reference for querying what you send.

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Uptime monitors (heartbeat)

Ping a dead-man's-switch monitor at the end of a cron job or scheduled task:

ledger.heartbeat("YOUR_MONITOR_TOKEN")

Plain synchronous HTTP call, no OTel pipeline involved — safe to call from short-lived scripts that exit right after. Raises RuntimeError on failure so a failed ping doesn't silently vanish.

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OpenTelemetry environment variables

The underlying OTel exporters honor the standard OTEL_EXPORTER_OTLP_* environment variables, so you can override the endpoint or add extra headers without touching application code:

export OTEL_EXPORTER_OTLP_ENDPOINT="https://ledger-server.jtuta.cloud"
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Bearer ledger_proj_1_your_api_key"

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SDK Health

if ledger.is_healthy():
    print("SDK is healthy")

status = ledger.get_health_status()
metrics = ledger.get_metrics()

Expose as an endpoint:

@app.get("/sdk/health")
async def sdk_health():
    return ledger.get_health_status()

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Links

• PyPI Package
• Dashboard
• Examples
• Changelog

License

MIT License — see LICENSE for details.