token-trim — Save AI Tokens
Trim unnecessary code, save AI tokens, and reduce API costs.
token-trim — Save AI Tokens launched on August 9, 2026 with 3 votes, #2,940 of 23,274 launches that month and more than 50% of that year's launches.
What it does
Trim unnecessary code before sending it to AI. Save LLM tokens, reduce API costs, and fit more useful code into the context window.
AST-powered Python CLI that strips docstrings, comments and whitespace to shrink LLM token usage.
token-trim is a Python CLI that strips docstrings, comments and redundant whitespace from your source before it ever reaches a model — measured with tiktoken, rebuilt with ast.unparse() , so nothing breaks. def summarize(rows, key): totals = defaultdict(float) for row in rows: totals[row[key]] += row[ 'amount' ] return dict(totals) Built for real codebases Every feature exists to cut tokens without ever cutting correctness. Parses your file into a real Python syntax tree, then removes docstrings, comments and dead whitespace — never regex guesswork. Counts before and after with the same tokenizer the models use, so the savings you see are the savings you pay for. Pipe the pruned source…from token-trim.vercel.app
Does a similar job
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AgentReadyFeb 2026 · agentready.cloud · ▲118Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.
TokenTrimSep 2026 · chromewebstore.google.com · ▲10Trim your AI prompts. Same answer, 40% fewer tokens.
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