How to reduce token usage in an AI CLI
This guide provides actionable steps to minimize your token consumption and lower your costs during active sessions.
What a paste costs in money
| Sample | Sonnet (3 $/M) | Opus (5 $/M) |
|---|---|---|
| Terminal log, 400 lines | $0.0169 | $0.0282 |
| Swift source file, 2,348 lines | $0.1210 | $0.2016 |
package-lock.json, 800 lines |
$0.0335 | $0.0559 |
The same text is sent again with every turn
The cost shown in the table applies to a single submission. However, everything in the context window is re-sent with every subsequent turn in the same session, multiplying the total amount of processed tokens as the conversation continues. This steady growth makes long sessions significantly more expensive than short interactions. A single large file pasted early on will incur charges on every subsequent prompt. Clearing the history frequently is therefore a very effective cost saving measure.
Five things that actually reduce the count
- Provide a file path instead of pasting the file content. This allows the tool to read the file only when it really needs to, and the path itself remains short.
- Copy only the specific section of a file that is relevant to the task. Focusing on the exact lines prevents the tokenizer from processing thousands of irrelevant characters.
- Redirect lengthy terminal output into a file instead of pasting it directly. Technical logs are particularly dense and cost more tokens per character than standard language.
- Start a new session when moving to a different topic. A fresh conversation resets the accumulated history to zero and restores full capacity.
- Avoid pasting the same text or output repeatedly. Every duplicate insertion stacks up in the history and multiplies the ongoing cost for the rest of the session.
What CtxVault does about it
CtxVault automatically converts clipboard contents into local text files, providing a short file path instead of the full text block. This approach avoids permanently filling the context window with raw content, reducing unnecessary token accumulation. The agent can inspect the generated file when it needs the information. The conversation history remains clean and only carries the minimal file reference. Of the points mentioned above, the tool covers the first one without requiring you to manually create files. The others remain the user's habits.