pingoni 0.1.2

Drop-in API monitoring for Flask and FastAPI

pingoni

Drop-in API monitoring for Flask and FastAPI. One install, every request tracked.

Install

pip install pingoni

Flask

from flask import Flask
from pingoni import init_flask

app = Flask(__name__)
init_flask(app, api_key="your_pingoni_api_key")

@app.route("/")
def home():
    return {"status": "ok"}

FastAPI

from fastapi import FastAPI
from pingoni import init_fastapi

app = FastAPI()
init_fastapi(app, api_key="your_pingoni_api_key")

@app.get("/")
def home():
    return {"status": "ok"}

LLM cost tracking

Track every OpenAI / Anthropic call by cost, per-user, per-feature.

from openai import OpenAI
from pingoni import track_llm

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
)

track_llm(
    provider="openai",
    model="gpt-4o-mini",
    usage=response.usage.model_dump(),
    user_id="user_123",
    feature="chat",
    api_key="your_pingoni_api_key",
)

Get an API key

Sign up at pingoni.com.

License

MIT