Using simple substring matching (e.g., keyword in lowered) for routing keywords leads to significant false positives. For example, the keyword "repo" in "technical_implementation" will match the word "report" (which is a keyword for "research"). As a result, a request like "Summarize the findings from the report" will be incorrectly classified as both "research" and "technical_implementation", leading to incorrect routing.
Similarly, "code" will match "decode", and "post" will match "postage".
Recommendation:
Consider using regular expressions with word boundaries (\b) or tokenizing the input text into words to perform exact word matching. For example, you can compile the keywords into regex patterns:
import re
# Example of word-boundary matching
any(re.search(rf"\b{re.escape(keyword)}\b", lowered) for keyword in keywords)Originally posted by @gemini-code-assist[bot] in #10 (comment)
Using simple substring matching (e.g.,
keyword in lowered) for routing keywords leads to significant false positives. For example, the keyword"repo"in"technical_implementation"will match the word"report"(which is a keyword for"research"). As a result, a request like "Summarize the findings from the report" will be incorrectly classified as both"research"and"technical_implementation", leading to incorrect routing.Similarly,
"code"will match"decode", and"post"will match"postage".Recommendation:
Consider using regular expressions with word boundaries (
\b) or tokenizing the input text into words to perform exact word matching. For example, you can compile the keywords into regex patterns:Originally posted by @gemini-code-assist[bot] in #10 (comment)