pradvion 0.2.0

Track AI API costs per client, project, and feature

Pradvion Python SDK

Track AI API costs per client, project, and feature. Know exactly what to bill each client.

Installation

pip install pradvion

Quick Start

import openai import pradvion

pradvion.init(api_key="nx_live_YOUR_KEY") client = pradvion.wrap(openai.OpenAI())

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

Cost automatically tracked in dashboard

Context Manager

with pradvion.context( feature="resume-summarizer", customer_id="samsung-001", environment="production" ): response = client.chat.completions.create(...)

Middleware Pattern (FastAPI)

@app.middleware("http") async def pradvion_middleware(request, call_next): user = get_current_user(request) pradvion.set_context( customer_id=user.company_id, environment="production" ) response = await call_next(request) pradvion.clear_context() return response

Async Support

async_client = pradvion.wrap(openai.AsyncOpenAI()) response = await async_client.chat.completions.create(...)

Streaming

stream = client.chat.completions.create( model="gpt-4o", messages=[...], stream=True, ) for chunk in stream: print(chunk.choices[0].delta.content, end="")

Usage captured automatically from last chunk

Agent / RAG Usage

with pradvion.context(feature="research-agent", customer_id="samsung"): # All sub-calls tracked under same context search = client.chat.completions.create(...) analyze = client.chat.completions.create(...) report = client.chat.completions.create(...)

Support

[e-mail] | https://pradvion.com