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Add Count Number Of Tokens In A File as an LLM TIL
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# Count Number Of Tokens In A File
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Over time you have accumulated a bunch of small directives, corrections, and
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project details in your `CLAUDE.md` or `AGENTS.md` file. The file doesn't seem
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too big, but you are mindful that it is being included in every prompt. How many
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tokens is it eating from the context window?
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OpenAI's BPE (Byte Pair Encoding) tokenization library,
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[`tiktoken`](https://github.com/openai/tiktoken), is an open-source Python
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package. If it is installed on our machine, then we can use it as part of the
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following one-liner to check a file:
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```bash
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❯ python -c "import tiktoken, sys; print(len(tiktoken.encoding_for_model('gpt-4o').encode(open(sys.argv[1], 'r', encoding='utf-8').read())))" \
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AGENTS.md
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1018
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```
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I ran this against the `AGENTS.md` file in a team project I'm on. It came out to
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1018 tokens. This is a very good approximation based on the tokenizer trained
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for `gpt-4o`. The tokenizers may vary a little from model to model, but the
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differences for our purposes here are going to be negligible.
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This one-liner gets the "first" argument to the command, reads it in, and runs
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that string against the tokenizer. The length of the tokenized encoding is then
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printed.
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