tolvyn 0.1.3

Drop-in replacement for the OpenAI/Anthropic SDK — routes through TOLVYN for cost attribution, budget enforcement, and audit logging.

tolvyn · PyPI

Drop-in replacement for openai and anthropic. One line change. Every AI call metered, attributed, and governed.

Install

pip install tolvyn

Quick start

# Before
from openai import OpenAI
client = OpenAI()

# After — one line change
from tolvyn import OpenAI
client = OpenAI(
    tolvyn_api_key="tlv_live_...",
    team="backend",
    service="summariser",
)

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

Works the same way for Anthropic:

from tolvyn import Anthropic
client = Anthropic(tolvyn_api_key="tlv_live_...", team="ml", service="classifier")

What you get

• Cost metering — every request logged with exact token counts and cost in microdollars
• Team attribution — see spend by team and service, not just a total invoice number
• Budget enforcement — set hard limits that block requests before they hit your provider
• Immutable ledger — hash-chained audit trail, verifiable at any time
• Drop-in — no changes to your existing API calls, models, or response handling

Environment variable mode

export TOLVYN_API_KEY="tlv_live_..."
export OPENAI_API_KEY="sk-..."     # your real provider key (stored encrypted on TOLVYN)

from tolvyn import OpenAI
client = OpenAI()  # picks up TOLVYN_API_KEY automatically

Full docs: docs.tolvyn.io/python-sdk Free trial: tolvyn.io

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