project-monitor-sdk 0.1.1

Official SDK for the Project Monitor AI Observability Platform

Project Monitor SDK

Official Python SDK for the Project Monitor AI Observability Platform.

Install

pip install project-monitor-sdk

Or in editable / development mode from this repo:

pip install -e "e:\Project Monitor\sdk"

Quick start

from monitor_sdk import Monitor, MonitorASGIMiddleware

monitor = Monitor(
    api_key="pm_your_api_key",
    base_url="http://localhost:8000",
    service_name="my-service",
    min_level="WARN",   # only WARN and above are sent
)

# Manual logging
monitor.warn("disk usage above 90%", operation="disk_check", metadata={"usage_pct": 91})
monitor.error("payment failed", operation="checkout", error_type="TimeoutError")

# Capture exceptions automatically
try:
    risky_operation()
except Exception as exc:
    monitor.capture_exception(exc, operation="risky_operation")

# Trace a block
with monitor.trace("checkout_flow"):
    process_order()

# ASGI middleware (FastAPI / Starlette) – auto-logs every request
from fastapi import FastAPI
app = FastAPI()
app.add_middleware(MonitorASGIMiddleware, monitor=monitor)

Configuration

Parameter	Default	Description
api_key	required	Project Monitor API key
base_url	required	Backend URL, e.g. http://localhost:8000
service_name	None	Name shown in the dashboard
min_level	"WARN"	Drop logs below this level (DEBUG / INFO / WARN / ERROR / CRITICAL)
batch_size	50	Flush when buffer reaches this many events
flush_interval	2.0	Seconds between automatic flushes
max_retries	3	HTTP retries per batch

Log levels

DEBUG < INFO < WARN < ERROR < CRITICAL

Only events at or above min_level are sent to the backend.