The 10M Token Budget: How to Meter Every AI Code Edit on a Free Server

Description and use

Developers using free AI agents often run out of token budgets unknowingly. The article explains how to estimate tokens with tiktoken, log actual usage after each call, and trim prompts to keep costs low on a free server.

Problem

Developers using free-tier AI coding agents often run out of token budgets without realizing it, leading to abrupt stops and wasted effort.

Outcome

By estimating and logging token usage, developers can keep free-tier AI coding sessions within budget, avoiding abrupt stops and optimizing cost.

Workflow

• Build a token counter using tiktoken to estimate tokens before each request.
• Wrap the agent call with a logger that records prompt, completion, and total tokens from the response metadata.
• Run a small test review on the free server to validate the setup.
• Monitor the logged token usage to understand consumption patterns.
• Adjust prompts and diffs to reduce token usage (e.g., send only changed functions).

Evidence

You can count tokens before sending. Use tiktoken as a proxy.

Source

Run the meter, the agent, the logger. Now you get a picture.

Source