Files
oh-my-openagent/src/hooks/think-mode/detector.ts
acamq ccd4dceaf2 fix(think-mode): remove overly broad Korean keyword
Remove '고민' from MULTILINGUAL_KEYWORDS as it triggers false
positives in everyday Korean speech. The keyword '생각' (thinking)
remains for intentional think-mode activation.

Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-opencode)
Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
2026-03-08 09:12:29 -06:00

58 lines
1.9 KiB
TypeScript

const ENGLISH_PATTERNS = [/\bultrathink\b/i, /\bthink\b/i]
const MULTILINGUAL_KEYWORDS = [
"생각", "검토", "제대로",
"思考", "考虑", "考慮",
"思考", "考え", "熟考",
"सोच", "विचार",
"تفكير", "تأمل",
"চিন্তা", "ভাবনা",
"думать", "думай", "размышлять", "размышляй",
"pensar", "pense", "refletir", "reflita",
"pensar", "piensa", "reflexionar", "reflexiona",
"penser", "pense", "réfléchir", "réfléchis",
"denken", "denk", "nachdenken",
"suy nghĩ", "cân nhắc",
"düşün", "düşünmek",
"pensare", "pensa", "riflettere", "rifletti",
"คิด", "พิจารณา",
"myśl", "myśleć", "zastanów",
"denken", "denk", "nadenken",
"berpikir", "pikir", "pertimbangkan",
"думати", "думай", "роздумувати",
"σκέψου", "σκέφτομαι",
"myslet", "mysli", "přemýšlet",
"gândește", "gândi", "reflectă",
"tänka", "tänk", "fundera",
"gondolkodj", "gondolkodni",
"ajattele", "ajatella", "pohdi",
"tænk", "tænke", "overvej",
"tenk", "tenke", "gruble",
"חשוב", "לחשוב", "להרהר",
"fikir", "berfikir",
]
const MULTILINGUAL_PATTERNS = MULTILINGUAL_KEYWORDS.map((kw) => new RegExp(kw, "i"))
const THINK_PATTERNS = [...ENGLISH_PATTERNS, ...MULTILINGUAL_PATTERNS]
const CODE_BLOCK_PATTERN = /```[\s\S]*?```/g
const INLINE_CODE_PATTERN = /`[^`]+`/g
function removeCodeBlocks(text: string): string {
return text.replace(CODE_BLOCK_PATTERN, "").replace(INLINE_CODE_PATTERN, "")
}
export function detectThinkKeyword(text: string): boolean {
const textWithoutCode = removeCodeBlocks(text)
return THINK_PATTERNS.some((pattern) => pattern.test(textWithoutCode))
}
export function extractPromptText(
parts: Array<{ type: string; text?: string }>
): string {
return parts
.filter((p) => p.type === "text")
.map((p) => p.text || "")
.join("")
}