import { memoize } from 'lodash-es' import type { Command } from 'src/commands.js' import { getCommandName, getSkillToolCommands, getSlashCommandToolSkills, } from 'src/commands.js' import { COMMAND_NAME_TAG } from '../../constants/xml.js' import { stringWidth } from '../../ink/stringWidth.js' import { type AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS, logEvent, } from '../../services/analytics/index.js' import { count } from '../../utils/array.js' import { logForDebugging } from '../../utils/debug.js' import { toError } from '../../utils/errors.js' import { truncate } from '../../utils/format.js' import { logError } from '../../utils/log.js' // 技能列表获取上下文窗口的 1% 字符数 export const SKILL_BUDGET_CONTEXT_PERCENT = 0.01 export const CHARS_PER_TOKEN = 4 export const DEFAULT_CHAR_BUDGET = 8_000 // 后备值:200k × 4 的 1% // 每个条目的硬性上限。列表仅用于发现——技能工具在调用时加载 // 完整内容,因此冗长的 whenToUse 字符串会浪费 turn-1 cache_creation // tokens 而不会提高匹配率。适用于所有条目,包括捆绑的, // 因为上限足够宽松,可以保留核心用例。 export const MAX_LISTING_DESC_CHARS = 250 export function getCharBudget(contextWindowTokens?: number): number { if (Number(process.env.SLASH_COMMAND_TOOL_CHAR_BUDGET)) { return Number(process.env.SLASH_COMMAND_TOOL_CHAR_BUDGET) } if (contextWindowTokens) { return Math.floor( contextWindowTokens * CHARS_PER_TOKEN * SKILL_BUDGET_CONTEXT_PERCENT, ) } return DEFAULT_CHAR_BUDGET } function getCommandDescription(cmd: Command): string { const desc = cmd.whenToUse ? `${cmd.description} - ${cmd.whenToUse}` : cmd.description return desc.length > MAX_LISTING_DESC_CHARS ? desc.slice(0, MAX_LISTING_DESC_CHARS - 1) + '\u2026' : desc } function formatCommandDescription(cmd: Command): string { // 调试:如果 userFacingName 与插件技能的 cmd.name 不同则记录 const displayName = getCommandName(cmd) if ( cmd.name !== displayName && cmd.type === 'prompt' && cmd.source === 'plugin' ) { logForDebugging( `Skill prompt: showing "${cmd.name}" (userFacingName="${displayName}")`, ) } return `- ${cmd.name}: ${getCommandDescription(cmd)}` } const MIN_DESC_LENGTH = 20 export function formatCommandsWithinBudget( commands: Command[], contextWindowTokens?: number, ): string { if (commands.length === 0) return '' const budget = getCharBudget(contextWindowTokens) // 首先尝试完整描述 const fullEntries = commands.map(cmd => ({ cmd, full: formatCommandDescription(cmd), })) // join('\n') 为 N 个条目生成 N-1 个换行符 const fullTotal = fullEntries.reduce((sum, e) => sum + stringWidth(e.full), 0) + (fullEntries.length - 1) if (fullTotal <= budget) { return fullEntries.map(e => e.full).join('\n') } // 分为捆绑的(永不截断)和其他 const bundledIndices = new Set() const restCommands: Command[] = [] for (let i = 0; i < commands.length; i++) { const cmd = commands[i]! if (cmd.type === 'prompt' && cmd.source === 'bundled') { bundledIndices.add(i) } else { restCommands.push(cmd) } } // 计算捆绑技能使用的空间(完整描述,始终保留) const bundledChars = fullEntries.reduce( (sum, e, i) => bundledIndices.has(i) ? sum + stringWidth(e.full) + 1 : sum, 0, ) const remainingBudget = budget - bundledChars // 计算非捆绑命令的最大描述长度 if (restCommands.length === 0) { return fullEntries.map(e => e.full).join('\n') } const restNameOverhead = restCommands.reduce((sum, cmd) => sum + stringWidth(cmd.name) + 4, 0) + (restCommands.length - 1) const availableForDescs = remainingBudget - restNameOverhead const maxDescLen = Math.floor(availableForDescs / restCommands.length) if (maxDescLen < MIN_DESC_LENGTH) { // 极端情况:非捆绑显示名称,捆绑保留描述 if (process.env.USER_TYPE === 'ant') { logEvent('tengu_skill_descriptions_truncated', { skill_count: commands.length, budget, full_total: fullTotal, truncation_mode: 'names_only' as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS, max_desc_length: maxDescLen, bundled_count: bundledIndices.size, bundled_chars: bundledChars, }) } return commands .map((cmd, i) => bundledIndices.has(i) ? fullEntries[i]!.full : `- ${cmd.name}`, ) .join('\n') } // 截断非捆绑描述以适应预算 const truncatedCount = count( restCommands, cmd => stringWidth(getCommandDescription(cmd)) > maxDescLen, ) if (process.env.USER_TYPE === 'ant') { logEvent('tengu_skill_descriptions_truncated', { skill_count: commands.length, budget, full_total: fullTotal, truncation_mode: 'description_trimmed' as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS, max_desc_length: maxDescLen, truncated_count: truncatedCount, // 此提示中包含的捆绑技能数量(排除 disableModelInvocation 的技能) bundled_count: bundledIndices.size, bundled_chars: bundledChars, }) } return commands .map((cmd, i) => { // 捆绑技能始终获得完整描述 if (bundledIndices.has(i)) return fullEntries[i]!.full const description = getCommandDescription(cmd) return `- ${cmd.name}: ${truncate(description, maxDescLen)}` }) .join('\n') } export const getPrompt = memoize(async (_cwd: string): Promise => { return `Execute a skill within the main conversation When users ask you to perform tasks, check if any of the available skills match. Skills provide specialized capabilities and domain knowledge. When users reference a "slash command" or "/" (e.g., "/commit", "/review-pr"), they are referring to a skill. Use this tool to invoke it. How to invoke: - Use this tool with the skill name and optional arguments - Examples: - \`skill: "pdf"\` - invoke the pdf skill - \`skill: "commit", args: "-m 'Fix bug'\` - invoke with arguments - \`skill: "review-pr", args: "123"\` - invoke with arguments - \`skill: "ms-office-suite:pdf"\` - invoke using fully qualified name Important: - Available skills are listed in system-reminder messages in the conversation - When a skill matches the user's request, this is a BLOCKING REQUIREMENT: invoke the relevant Skill tool BEFORE generating any other response about the task - NEVER mention a skill without actually calling this tool - Do not invoke a skill that is already running - Do not use this tool for built-in CLI commands (like /help, /clear, etc.) - If you see a <${COMMAND_NAME_TAG}> tag in the current conversation turn, the skill has ALREADY been loaded - follow the instructions directly instead of calling this tool again ` }) export async function getSkillToolInfo(cwd: string): Promise<{ totalCommands: number includedCommands: number }> { const agentCommands = await getSkillToolCommands(cwd) return { totalCommands: agentCommands.length, includedCommands: agentCommands.length, } } // 返回包含在 SkillTool 提示中的命令。 // 所有命令始终被包含(描述可能会被截断以适应预算)。 // 由 analyzeContext 用于计算技能 tokens。 export function getLimitedSkillToolCommands(cwd: string): Promise { return getSkillToolCommands(cwd) } export function clearPromptCache(): void { getPrompt.cache?.clear?.() } export async function getSkillInfo(cwd: string): Promise<{ totalSkills: number includedSkills: number }> { try { const skills = await getSlashCommandToolSkills(cwd) return { totalSkills: skills.length, includedSkills: skills.length, } } catch (error) { logError(toError(error)) // 返回零而不是抛出异常——让调用者决定如何处理 return { totalSkills: 0, includedSkills: 0, } } }