LUTFLOW FOR DEVELOPERS

Add budget enforcement in three lines.

The LUT Agent is a drop-in SDK wrapper for OpenAI, Anthropic, and Gemini. Install via pip install lutflow, wrap your existing client, and set a budget policy. Budget enforcement in three lines of code — no new infrastructure, no DevOps, no architecture changes.

pip install lutflow. That's it.

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"Add budget enforcement in three lines."

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pip install lutflow

Install the LUT Agent SDK from PyPI. One command. Works with Python 3.8+ and all major AI provider SDKs.

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Three lines of code

Import lutflow, initialize with your budget policy, and replace your client. Your existing OpenAI/Anthropic/Gemini code works unchanged — Lutflow wraps it with enforcement.

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Budget enforcement per call

Every inference call is checked against your active budget policy. Caps, rate limits, model restrictions — all evaluated before the API call is made.

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OpenAI + Anthropic + Gemini

Works with all three major providers. The LUT Agent wraps the standard client libraries — no custom API integration needed.

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Per-developer cost tracking

See exactly how much each developer, project, or feature branch is spending on AI inference. Attribution at the code level.

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Minimal latency overhead

The enforcement check adds minimal latency to each call. Policy evaluation happens locally — no round-trip to a remote server.

PYTHON
from lutflow import LutflowClient
client = LutflowClient(
provider="openai",
budget="$50/day"
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello"}]
)
Ready to enforce your AI budget?
30 days free · No infrastructure changes
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