---
title: "Fewer tokens without losing the line that matters"
description: "How to cut the cost of tool output in AI agents without handing customer data to external services."
canonical: "https://simosphereai.com/en/field-reports/fewer-tokens-without-loss"
lang: en
---

# Fewer tokens without losing the line that matters

How to cut the cost of tool output in AI agents without handing customer data to external services.

- Published: 2026-10-06
- Updated: 2026-10-06
- Status: erprobung
- Publisher: SIMO GmbH

## Starting question

How do we cut the cost of tool output in AI agents without handing customer data to external compression services and without losing important information?

## Result: open

Design in testing: a local filter that protects error lines and identifiers. It measures first, before it changes any output.

With a local, deterministic filter instead of an external service: error lines, paths, exit codes, and identifiers stay untouched; structured data passes through unchanged. The filter runs in measuring mode first to prove that nothing essential is lost.

## What we tested

Until now, long output was simply truncated. The error message at the end of a test run got lost in the process.

The design calls for a local, deterministic filter. Error lines, paths, exit codes, and identifiers stay untouched; structured data passes through unchanged. The filter first runs in measurement mode without altering any responses.

## What it means for business architecture

Optimizing AI costs is also a question of data sovereignty. External services are ruled out for customer data. The optimization has to happen in-house and prove that nothing essential is lost.

## Lessons learned

- Truncating is not compressing. It often removes the most important part.
- A measurement mode before switching over builds trust in the savings.
- Adopt the method from a tool, not its code. The tool does not know your requirements for tenants and logging.

Rendered version: https://simosphereai.com/en/field-reports/fewer-tokens-without-loss