LCORE-510: docstring about quota limiter #794
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WalkthroughDocumentation-only changes to the quota module. The module docstring in Changes
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Actionable comments posted: 1
🧹 Nitpick comments (1)
src/quota/quota_limiter.py (1)
18-21: Tighten wording in the use-case bullet list.Both bullet points drop key articles (“to a specific value”, “a daily basis”), which makes the guidance harder to parse. Let’s fix the phrasing for readability.
-1. When quota needs to be reset specific value periodically (for example on -weekly on monthly basis), specify `initial_quota` to the required value -1. When quota needs to be increased by specific value periodically (for example -on daily basis), specify `quota_increase` +1. When the quota needs to be reset to a specific value periodically (for example +on a weekly or monthly basis), set `initial_quota` to the required value. +1. When the quota needs to be increased by a specific value periodically (for example +on a daily basis), specify `quota_increase`.
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src/quota/__init__.py(1 hunks)src/quota/quota_limiter.py(1 hunks)
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| Tokens are small chunks of text, which can be as small as one character or as | ||
| large as one word. Tokens are the units of measurement used to quantify the | ||
| amount of text that the service sends to, or receives from, a large language | ||
| model (LLM). Every interaction with the Service and the LLM is counted in | ||
| tokens. | ||
| LLM providers typically charge for their services using a token-based pricing model. | ||
| Token quota limits define the number of tokens that can be used in a certain | ||
| timeframe. Implementing token quota limits helps control costs, encourage more | ||
| efficient use of queries, and regulate demand on the system. In a multi-user | ||
| configuration, token quota limits help provide equal access to all users | ||
| ensuring everyone has an opportunity to submit queries. |
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Correct the token description and fix comma splice.
Tokens in BPE vocabularies can span more than one full word, so saying they are “as large as one word” is inaccurate. The last sentence also needs a comma before “ensuring” to avoid a run-on. Please tighten both sentences.
-Tokens are small chunks of text, which can be as small as one character or as
-large as one word.
+Tokens are small chunks of text, which can be as small as a single character and
+may span multiple characters, including whitespace or fragments of words.
@@
-In a multi-user configuration, token quota limits help provide equal access to all users
-ensuring everyone has an opportunity to submit queries.
+In a multi-user configuration, token quota limits help provide equal access to all users,
+ensuring everyone has an opportunity to submit queries.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| Tokens are small chunks of text, which can be as small as one character or as | |
| large as one word. Tokens are the units of measurement used to quantify the | |
| amount of text that the service sends to, or receives from, a large language | |
| model (LLM). Every interaction with the Service and the LLM is counted in | |
| tokens. | |
| LLM providers typically charge for their services using a token-based pricing model. | |
| Token quota limits define the number of tokens that can be used in a certain | |
| timeframe. Implementing token quota limits helps control costs, encourage more | |
| efficient use of queries, and regulate demand on the system. In a multi-user | |
| configuration, token quota limits help provide equal access to all users | |
| ensuring everyone has an opportunity to submit queries. | |
| Tokens are small chunks of text, which can be as small as a single character and | |
| may span multiple characters, including whitespace or fragments of words. Tokens are the units of measurement used to quantify the | |
| amount of text that the service sends to, or receives from, a large language | |
| model (LLM). Every interaction with the Service and the LLM is counted in | |
| tokens. | |
| LLM providers typically charge for their services using a token-based pricing model. | |
| Token quota limits define the number of tokens that can be used in a certain | |
| timeframe. Implementing token quota limits helps control costs, encourage more | |
| efficient use of queries, and regulate demand on the system. In a multi-user | |
| configuration, token quota limits help provide equal access to all users, | |
| ensuring everyone has an opportunity to submit queries. |
🤖 Prompt for AI Agents
In src/quota/__init__.py around lines 5 to 17, the token definition is
inaccurate and there's a comma splice: update the token sentence to say tokens
can be smaller than a word or span multiple words (e.g., subword/BPE units)
instead of “as large as one word,” and add a comma before “ensuring” in the
final sentence so it reads “…access to all users, ensuring everyone has an
opportunity to submit queries.”
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Description
LCORE-510: docstring about quota limiter
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