chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
@@ -0,0 +1 @@
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{}
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@@ -0,0 +1,444 @@
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import fs from 'node:fs'
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import path from 'node:path'
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import {
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CODEBASE_CONTEXT_PATH,
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PROFILE_CONTEXT_PATH
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} from '@bridge/constants'
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import { Tool } from '@sdk/base-tool'
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import { ToolkitConfig } from '@sdk/toolkit-config'
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const DEFAULT_LIST_LIMIT = 24
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const DEFAULT_TOP_K = 8
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const DEFAULT_SNIPPET_CHARS = Number.MAX_SAFE_INTEGER
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const CODEBASE_CONTEXT_FILES = new Set([
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'ARCHITECTURE.md',
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'LEON.md'
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])
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interface ContextListEntry {
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filename: string
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summary: string
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sizeChars: number
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updatedAt: string
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}
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interface SearchHit {
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filename: string
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score: number
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snippet: string
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matchIndex: number
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}
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export default class ContextTool extends Tool {
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private static readonly TOOLKIT = 'structured_knowledge'
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private readonly config: ReturnType<typeof ToolkitConfig.load>
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constructor() {
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super()
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this.config = ToolkitConfig.load(ContextTool.TOOLKIT, this.toolName)
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this.settings = ToolkitConfig.loadToolSettings(
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ContextTool.TOOLKIT,
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this.toolName,
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{}
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)
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this.requiredSettings = []
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this.checkRequiredSettings(this.toolName)
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}
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get toolName(): string {
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return 'context'
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}
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get toolkit(): string {
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return ContextTool.TOOLKIT
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}
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get description(): string {
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return this.config['description']
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}
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public async listContextFiles(
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query = '',
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limit = DEFAULT_LIST_LIMIT
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): Promise<{
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success: boolean
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data: {
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total: number
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files: ContextListEntry[]
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}
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}> {
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await this.ensureContextDir()
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const files = await this.readContextEntries()
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const normalizedQuery = String(query || '').trim().toLowerCase()
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const maxItems = this.clampNumber(limit, 1, 100, DEFAULT_LIST_LIMIT)
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const filtered = normalizedQuery
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? files.filter((entry) => {
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const target = `${entry.filename}\n${entry.summary}`.toLowerCase()
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return target.includes(normalizedQuery)
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})
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: files
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return {
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success: true,
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data: {
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total: filtered.length,
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files: filtered.slice(0, maxItems)
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}
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}
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}
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public async readContextFile(
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filename: string,
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options: { offsetChars?: number, maxChars?: number } = {}
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): Promise<{
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success: boolean
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data?: {
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filename: string
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offsetChars: number
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maxChars: number
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returnedChars: number
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totalChars: number
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hasMore: boolean
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nextOffsetChars: number | null
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content: string
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fullyShared: boolean
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}
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error?: string
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}> {
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const safeFilename = this.resolveFilename(filename)
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if (!safeFilename) {
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return {
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success: false,
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error: 'Invalid context filename.'
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}
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}
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const filePath = this.resolveContextFilePath(safeFilename)
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if (!fs.existsSync(filePath)) {
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return {
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success: false,
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error: `Context file not found: ${safeFilename}`
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}
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}
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const content = await fs.promises.readFile(filePath, 'utf8')
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const totalChars = content.length
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const offsetChars = this.clampNumber(
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options.offsetChars,
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0,
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totalChars,
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0
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)
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const remainingChars = Math.max(0, totalChars - offsetChars)
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const requestedMaxChars = Number(options.maxChars)
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const maxChars =
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totalChars > 0 &&
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Number.isFinite(requestedMaxChars) &&
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requestedMaxChars > 0
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? this.clampNumber(requestedMaxChars, 1, totalChars, totalChars)
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: remainingChars
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const chunk = content.slice(offsetChars, offsetChars + maxChars)
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const nextOffset = offsetChars + chunk.length
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const hasMore = nextOffset < totalChars
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return {
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success: true,
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data: {
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filename: safeFilename,
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offsetChars,
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maxChars,
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returnedChars: chunk.length,
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totalChars,
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hasMore,
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nextOffsetChars: hasMore ? nextOffset : null,
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content: chunk,
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fullyShared: !hasMore && offsetChars === 0
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}
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}
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}
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public async searchContext(
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query: string,
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options: {
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filenames?: string[]
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topK?: number
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snippetChars?: number
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} = {}
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): Promise<{
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success: boolean
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data: {
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query: string
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topK: number
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searchedFiles: string[]
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hits: SearchHit[]
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}
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}> {
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await this.ensureContextDir()
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const normalizedQuery = String(query || '').trim()
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if (!normalizedQuery) {
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return {
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success: true,
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data: {
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query: '',
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topK: 0,
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searchedFiles: [],
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hits: []
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}
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}
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}
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const entries = await this.readContextEntries()
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const allowed = new Set(
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(options.filenames || [])
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.map((filename) => this.resolveFilename(filename))
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.filter((filename): filename is string => Boolean(filename))
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)
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const topK = this.clampNumber(options.topK, 1, 24, DEFAULT_TOP_K)
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const requestedSnippetChars = Number(options.snippetChars)
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const snippetChars =
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Number.isFinite(requestedSnippetChars) && requestedSnippetChars > 0
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? Math.floor(requestedSnippetChars)
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: DEFAULT_SNIPPET_CHARS
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const searchableEntries =
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allowed.size > 0
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? entries.filter((entry) => allowed.has(entry.filename))
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: entries
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const queryTokens = this.tokenize(normalizedQuery)
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const hits: SearchHit[] = []
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for (const entry of searchableEntries) {
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const lower = entry.content.toLowerCase()
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const tokenScores = queryTokens.map((token) => {
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if (!token) {
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return 0
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}
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return lower.includes(token) ? 1 : 0
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})
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const tokenMatchCount = tokenScores.reduce<number>(
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(total, score) => total + score,
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0
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)
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if (tokenMatchCount === 0) {
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continue
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}
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const fullQueryIndex = lower.indexOf(normalizedQuery.toLowerCase())
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const fallbackIndex =
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fullQueryIndex >= 0
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? fullQueryIndex
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: queryTokens.reduce((best, token) => {
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if (!token) {
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return best
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}
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const idx = lower.indexOf(token)
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if (idx === -1) {
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return best
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}
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if (best === -1) {
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return idx
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}
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return Math.min(best, idx)
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}, -1)
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const matchIndex = Math.max(0, fallbackIndex)
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const score =
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tokenMatchCount / Math.max(1, queryTokens.length) +
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(fullQueryIndex >= 0 ? 0.5 : 0)
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hits.push({
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filename: entry.filename,
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score,
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snippet: this.buildSnippet(entry.content, matchIndex, snippetChars),
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matchIndex
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})
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}
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hits.sort((a, b) => {
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if (a.score !== b.score) {
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return b.score - a.score
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}
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return a.matchIndex - b.matchIndex
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})
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return {
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success: true,
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data: {
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query: normalizedQuery,
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topK,
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searchedFiles: searchableEntries.map((entry) => entry.filename),
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hits: hits.slice(0, topK)
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}
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}
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}
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private async ensureContextDir(): Promise<void> {
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await fs.promises.mkdir(PROFILE_CONTEXT_PATH, { recursive: true })
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}
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private resolveFilename(filename: string): string | null {
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const normalized = path.basename(String(filename || '').trim())
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if (!normalized || !normalized.toUpperCase().endsWith('.MD')) {
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return null
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}
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if (!this.isSafeContextFilename(normalized)) {
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return null
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}
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return normalized
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}
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private resolveContextFilePath(filename: string): string {
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return path.join(this.getContextDirectory(filename), filename)
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}
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private getContextDirectory(filename: string): string {
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if (CODEBASE_CONTEXT_FILES.has(filename)) {
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return CODEBASE_CONTEXT_PATH
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}
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return PROFILE_CONTEXT_PATH
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}
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private isSafeContextFilename(filename: string): boolean {
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return path.basename(filename) === filename
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}
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private async readContextEntries(): Promise<Array<{
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filename: string
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summary: string
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sizeChars: number
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updatedAt: string
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content: string
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}>> {
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const markdownFiles = await this.listContextFilenames()
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const output: Array<{
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filename: string
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summary: string
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sizeChars: number
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updatedAt: string
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content: string
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}> = []
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for (const filename of markdownFiles) {
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const filePath = this.resolveContextFilePath(filename)
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const [stat, content] = await Promise.all([
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fs.promises.stat(filePath),
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fs.promises.readFile(filePath, 'utf8')
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])
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const summary = this.extractSummary(content)
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output.push({
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filename,
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summary,
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sizeChars: content.length,
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updatedAt: stat.mtime.toISOString(),
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content
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})
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}
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return output
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}
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private async listContextFilenames(): Promise<string[]> {
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const filenames = new Set<string>()
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await this.addContextFilenamesFromDirectory(
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CODEBASE_CONTEXT_PATH,
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filenames,
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(filename) => CODEBASE_CONTEXT_FILES.has(filename)
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)
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await this.addContextFilenamesFromDirectory(
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PROFILE_CONTEXT_PATH,
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filenames,
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(filename) => !CODEBASE_CONTEXT_FILES.has(filename)
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)
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return [...filenames].sort((a, b) => a.localeCompare(b))
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}
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private async addContextFilenamesFromDirectory(
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directoryPath: string,
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filenames: Set<string>,
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shouldInclude: (filename: string) => boolean
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): Promise<void> {
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let entries: fs.Dirent[] = []
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try {
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entries = await fs.promises.readdir(directoryPath, {
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withFileTypes: true
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})
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} catch {
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return
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}
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for (const entry of entries) {
|
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if (
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!entry.isFile() ||
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!entry.name.toLowerCase().endsWith('.md') ||
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!this.isSafeContextFilename(entry.name) ||
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!shouldInclude(entry.name)
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) {
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continue
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}
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filenames.add(entry.name)
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}
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}
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private extractSummary(content: string): string {
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const lines = content
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.split('\n')
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.map((line) => line.trim())
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.filter((line) => line.length > 0)
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const preferred = lines.find((line) => line.startsWith('>'))
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const first = preferred || lines[0] || ''
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const normalized = first.replace(/^>\s*/, '').replace(/\s+/g, ' ').trim()
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if (!normalized) {
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return ''
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}
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return normalized.length > 180
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? `${normalized.slice(0, 177).trimEnd()}...`
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: normalized
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}
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private tokenize(value: string): string[] {
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return (value.toLowerCase().match(/[a-z0-9_]+/g) || [])
|
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.map((token) => token.trim())
|
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.filter((token) => token.length >= 2)
|
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}
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private clampNumber(
|
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value: unknown,
|
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min: number,
|
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max: number,
|
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fallback: number
|
||||
): number {
|
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const parsed = Number(value)
|
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if (!Number.isFinite(parsed)) {
|
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return fallback
|
||||
}
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return Math.max(min, Math.min(max, Math.floor(parsed)))
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}
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|
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private buildSnippet(content: string, center: number, maxChars: number): string {
|
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if (content.length <= maxChars) {
|
||||
return content
|
||||
}
|
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|
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const half = Math.floor(maxChars / 2)
|
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const start = Math.max(0, center - half)
|
||||
const end = Math.min(content.length, start + maxChars)
|
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const raw = content.slice(start, end)
|
||||
const prefix = start > 0 ? '...' : ''
|
||||
const suffix = end < content.length ? '...' : ''
|
||||
|
||||
return `${prefix}${raw}${suffix}`
|
||||
}
|
||||
}
|
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@@ -0,0 +1 @@
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export { default } from './context-tool'
|
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@@ -0,0 +1,108 @@
|
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{
|
||||
"$schema": "../../../schemas/tool-schemas/tool.json",
|
||||
"tool_id": "context",
|
||||
"toolkit_id": "structured_knowledge",
|
||||
"name": "Context",
|
||||
"description": "Read and search Leon context files.",
|
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"icon_name": "file-list-3-line",
|
||||
"author": {
|
||||
"name": "Louis Grenard",
|
||||
"email": "louis@getleon.ai",
|
||||
"url": "https://twitter.com/grenlouis"
|
||||
},
|
||||
"functions": {
|
||||
"listContextFiles": {
|
||||
"description": "List available context files with short summaries.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {
|
||||
"type": "string"
|
||||
},
|
||||
"limit": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false
|
||||
}
|
||||
},
|
||||
"readContextFile": {
|
||||
"description": "Read a context file. By default, returns full file content.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"filename": {
|
||||
"type": "string",
|
||||
"enum": [
|
||||
"ACTIVITY.md",
|
||||
"ARCHITECTURE.md",
|
||||
"BROWSER_HISTORY.md",
|
||||
"GPU_COMPUTE.md",
|
||||
"HABITS.md",
|
||||
"HOME.md",
|
||||
"HOST_SYSTEM.md",
|
||||
"LEON.md",
|
||||
"LEON_RUNTIME.md",
|
||||
"LOCAL_INVENTORY.md",
|
||||
"MEDIA_PROFILE.md",
|
||||
"NETWORK_ECOSYSTEM.md",
|
||||
"OWNER.md",
|
||||
"STORAGE.md",
|
||||
"SYSTEM_RESOURCES.md",
|
||||
"WORKSPACE_INTELLIGENCE.md"
|
||||
]
|
||||
},
|
||||
"options": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"offsetChars": {
|
||||
"type": "number"
|
||||
},
|
||||
"maxChars": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"filename"
|
||||
],
|
||||
"additionalProperties": false
|
||||
}
|
||||
},
|
||||
"searchContext": {
|
||||
"description": "Search relevant content across context files.",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {
|
||||
"type": "string"
|
||||
},
|
||||
"options": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"filenames": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"topK": {
|
||||
"type": "number"
|
||||
},
|
||||
"snippetChars": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"additionalProperties": false
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"query"
|
||||
],
|
||||
"additionalProperties": false
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1 @@
|
||||
{}
|
||||
@@ -0,0 +1 @@
|
||||
export { default } from './memory-tool'
|
||||
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{
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"$schema": "../../../schemas/tool-schemas/tool.json",
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"tool_id": "memory",
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"toolkit_id": "structured_knowledge",
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"name": "Memory",
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"description": "Read and write Leon memory entries (persistent, daily, discussion).",
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"icon_name": "brain-2-line",
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"author": {
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"name": "Louis Grenard",
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"email": "louis@getleon.ai",
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"url": "https://twitter.com/grenlouis"
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},
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"functions": {
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"read": {
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"description": "Recall relevant memories for a query using Leon's memory system. Keep the query short and semantically close to the user's wording. Prefer concrete entities or relationships already mentioned. Avoid long speculative keyword lists.",
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"parameters": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string"
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},
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"options": {
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"type": "object",
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"properties": {
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"namespaces": {
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"type": "array",
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"items": {
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"type": "string",
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"enum": [
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"memory_persistent",
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"memory_daily",
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"memory_discussion",
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"conversation_daily",
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"context"
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]
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}
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},
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"topK": {
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"type": "number"
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},
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"tokenBudget": {
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"type": "number"
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},
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"includeFacts": {
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"type": "boolean"
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},
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"includeContext": {
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"type": "boolean"
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},
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"contextFilenames": {
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"type": "array",
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"items": {
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"type": "string"
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}
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}
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},
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"additionalProperties": false
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}
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},
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"required": [
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"query"
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]
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}
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},
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"write": {
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"description": "Write a memory item into Leon memory (persistent/daily/discussion).",
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"parameters": {
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"type": "object",
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"properties": {
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"content": {
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"type": "string"
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||||
},
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||||
"options": {
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||||
"type": "object",
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||||
"properties": {
|
||||
"scope": {
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||||
"type": "string"
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||||
},
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||||
"kind": {
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||||
"type": "string"
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||||
},
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"title": {
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||||
"type": "string"
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||||
},
|
||||
"sourceType": {
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||||
"type": "string"
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||||
},
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"sourceRef": {
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||||
"type": "string"
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||||
},
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||||
"importance": {
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"type": "number"
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||||
},
|
||||
"confidence": {
|
||||
"type": "number"
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||||
},
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||||
"tags": {
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||||
"type": "array",
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||||
"items": {
|
||||
"type": "string"
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||||
}
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||||
},
|
||||
"dayKey": {
|
||||
"type": "string"
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||||
},
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"expiresAt": {
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||||
"type": "number"
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||||
},
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"isPinned": {
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||||
"type": "boolean"
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||||
},
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||||
"metadata": {
|
||||
"type": "object"
|
||||
}
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||||
},
|
||||
"additionalProperties": false
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||||
}
|
||||
},
|
||||
"required": [
|
||||
"content"
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||||
]
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||||
}
|
||||
}
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||||
}
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||||
}
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@@ -0,0 +1,14 @@
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{
|
||||
"$schema": "../../schemas/toolkit-schemas/toolkit.json",
|
||||
"name": "Structured Knowledge",
|
||||
"description": "Tools for structured knowledge and facts.",
|
||||
"icon_name": "database-2-line",
|
||||
"context_files": [
|
||||
"LEON.md",
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"ARCHITECTURE.md"
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],
|
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"tools": [
|
||||
"memory",
|
||||
"context"
|
||||
]
|
||||
}
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Reference in New Issue
Block a user