owl24-py

Python SDK for owl24 — one line of code to send logs, traces, and metrics to your owl24 dashboard, built on OpenTelemetry. Errors are deduplicated and can be handed straight to your own coding agent, which claims them, writes a fix, and opens a PR.

Install

pip install owl24-py

Usage

import os
from owl24_py import Owl24

Owl24.init(os.getenv("OWL24_API_KEY"), "my-service-name")

That's it — Owl24.init(...) wires up an OpenTelemetry tracer/meter/logger provider pointed at your owl24 ingest endpoint, and patches Python's logging module so logging.info(...), logging.error(...), etc. are automatically sent to your dashboard alongside the current trace/span ID.

Options

Owl24.init(
    api_key=None,                     # or set OWL24_API_KEY / OBSERVE_API_KEY env var
    service_name="dice-server",
    export_interval_millis=3000,
    disable_console_bridge=False,     # set True to stop auto-forwarding logging.* calls
    disable_crash_capture=False,      # set True to disable uncaught-exception capture
    export_timeout_millis=5000,
    disable_auto_instrumentation=False, # set True to skip Flask/Django/FastAPI/requests/DB auto-tracing
)

Telemetry is always sent to https://ingest.owl24.dev — owl24's ingest endpoint isn't configurable, since it's a fixed part of the hosted service (only the API key is per-customer).

What it does

• Logs: patches the root logging logger — every logging.* call is forwarded as a structured log, tagged with the active trace/span ID if one exists.
• Traces: sets up an OpenTelemetry TracerProvider exporting via OTLP/HTTP. Spans you create manually, or automatically via Flask/Django/FastAPI/requests (see below), are masked and exported.
• Database metrics: queries via psycopg2/pymongo/pymysql/SQLAlchemy (see Database metrics) are automatically turned into db.query.count/db.query.duration_ms/db.query.error_count on your dashboard's Database page.
• Host metrics: CPU, memory, and network metrics are collected and exported automatically via opentelemetry-instrumentation-system-metrics — no setup required.
• Crash capture: installs a sys.excepthook and threading.excepthook so uncaught exceptions (main thread and background threads) are captured as FATAL-severity log events and flushed before the process exits.
• PII masking: emails, credit-card-shaped numbers, phone numbers, and bearer tokens are scrubbed from span attributes and log bodies before they ever leave your process.

Automatic HTTP tracing

pip install owl24-py is self-sufficient — no extras, no separate install step for any framework. If your app already uses Flask, Django, FastAPI, or requests, Owl24.init() automatically creates spans for incoming requests (Flask/Django/FastAPI) or outgoing calls (requests) the moment you call it, since the OTel instrumentor for each is already installed unconditionally. (The frameworks themselves — Flask, Django, etc. — are still your app's own dependency, same as always; owl24-py just ships the wiring that activates automatically once one is present.)

Flask and FastAPI: call Owl24.init() before importing the framework

For Flask and FastAPI specifically (not Django - see below), Owl24.init() must run before your own code does from flask import Flask or from fastapi import FastAPI:

from owl24_py import Owl24
Owl24.init(api_key, "my-service")

from flask import Flask   # import AFTER init() - this is the part that matters
app = Flask(__name__)

Getting this backwards doesn't raise an error or a warning - it just silently produces zero traces, ever, for that service. Why: Flask/FastAPI's instrumentation works by reassigning the framework's own Flask/FastAPI class in its module (e.g. flask.Flask = _InstrumentedFlask) - if your code already did from flask import Flask and bound that name to the original class before Owl24.init() runs, that name keeps pointing at the unpatched original forever; reassigning flask.Flask afterward can't reach back and fix an already-bound reference. (Using import flask and calling flask.Flask(...) instead of from flask import Flask sidesteps this entirely, since that always resolves the class fresh - but Owl24.init() first is the simpler rule to just always follow.)

Django doesn't have this restriction - its instrumentation works by inserting into Django's settings.MIDDLEWARE, which Django resolves lazily when it actually starts handling requests, not by reassigning a class. Import order doesn't matter for Django.

Database metrics

Same story as the HTTP frameworks above — no extra install step. If your app already talks to a database via psycopg2 (PostgreSQL), pymongo (MongoDB), PyMySQL, or SQLAlchemy (any dialect it supports), every query is automatically traced and reported to your dashboard's Database page as db.query.count, db.query.duration_ms, and db.query.error_count, grouped by DB system, from the moment you call Owl24.init().

Working with your coding agent

Errors ingested via this SDK can be deduplicated and handed straight to your own coding agent - claim, investigate, fix, PR. Reach that queue interactively from Claude Code or Cursor with owl24-mcp, or unattended via REST + AGENTS.md (see the docs).

License

MIT — see LICENSE.