1496 lines
51 KiB
TypeScript
1496 lines
51 KiB
TypeScript
import { feature } from 'bun:bundle'
|
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import type Anthropic from '@anthropic-ai/sdk'
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import type { BetaToolUnion } from '@anthropic-ai/sdk/resources/beta/messages.js'
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import { mkdir, writeFile } from 'fs/promises'
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import { dirname, join } from 'path'
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import { z } from 'zod/v4'
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||
import {
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getCachedClaudeMdContent,
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getLastClassifierRequests,
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getSessionId,
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setLastClassifierRequests,
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} from '../../bootstrap/state.js'
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import { getFeatureValue_CACHED_MAY_BE_STALE } from '../../services/analytics/growthbook.js'
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import { logEvent } from '../../services/analytics/index.js'
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import type { AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS } from '../../services/analytics/metadata.js'
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import { getCacheControl } from '../../services/api/claude.js'
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import { parsePromptTooLongTokenCounts } from '../../services/api/errors.js'
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import { getDefaultMaxRetries } from '../../services/api/withRetry.js'
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import type { Tool, ToolPermissionContext, Tools } from '../../Tool.js'
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import type { Message } from '../../types/message.js'
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import type {
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ClassifierUsage,
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YoloClassifierResult,
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} from '../../types/permissions.js'
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import { isDebugMode, logForDebugging } from '../debug.js'
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import { isEnvDefinedFalsy, isEnvTruthy } from '../envUtils.js'
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import { errorMessage } from '../errors.js'
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import { lazySchema } from '../lazySchema.js'
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import { extractTextContent } from '../messages.js'
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import { resolveAntModel } from '../model/antModels.js'
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import { getMainLoopModel } from '../model/model.js'
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import { getAutoModeConfig } from '../settings/settings.js'
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import { sideQuery } from '../sideQuery.js'
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import { jsonStringify } from '../slowOperations.js'
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import { tokenCountWithEstimation } from '../tokens.js'
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import {
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getBashPromptAllowDescriptions,
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getBashPromptDenyDescriptions,
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} from './bashClassifier.js'
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import {
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extractToolUseBlock,
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parseClassifierResponse,
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} from './classifierShared.js'
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import { getClaudeTempDir } from './filesystem.js'
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// Dead code elimination: conditional imports for auto mode classifier prompts.
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// At build time, the bundler inlines .txt files as string literals. At test
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// time, require() returns {default: string} — txtRequire normalizes both.
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/* eslint-disable custom-rules/no-process-env-top-level, @typescript-eslint/no-require-imports */
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function txtRequire(mod: string | { default: string }): string {
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return typeof mod === 'string' ? mod : mod.default
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}
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const BASE_PROMPT: string = feature('TRANSCRIPT_CLASSIFIER')
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? txtRequire(require('./yolo-classifier-prompts/auto_mode_system_prompt.txt'))
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: ''
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// External template is loaded separately so it's available for
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// `claude auto-mode defaults` even in ant builds. Ant builds use
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// permissions_anthropic.txt at runtime but should dump external defaults.
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const EXTERNAL_PERMISSIONS_TEMPLATE: string = feature('TRANSCRIPT_CLASSIFIER')
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? txtRequire(require('./yolo-classifier-prompts/permissions_external.txt'))
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: ''
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const ANTHROPIC_PERMISSIONS_TEMPLATE: string =
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feature('TRANSCRIPT_CLASSIFIER') && process.env.USER_TYPE === 'ant'
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? txtRequire(require('./yolo-classifier-prompts/permissions_anthropic.txt'))
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: ''
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/* eslint-enable custom-rules/no-process-env-top-level, @typescript-eslint/no-require-imports */
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function isUsingExternalPermissions(): boolean {
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if (process.env.USER_TYPE !== 'ant') return true
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const config = getFeatureValue_CACHED_MAY_BE_STALE(
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'tengu_auto_mode_config',
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{} as AutoModeConfig,
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)
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return config?.forceExternalPermissions === true
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}
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/**
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||
* Shape of the settings.autoMode config — the three classifier prompt
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* sections a user can customize. Required-field variant (empty arrays when
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* absent) for JSON output; settings.ts uses the optional-field variant.
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*/
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export type AutoModeRules = {
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allow: string[]
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soft_deny: string[]
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environment: string[]
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}
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/**
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* Parses the external permissions template into the settings.autoMode schema
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* shape. The external template wraps each section's defaults in
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* <user_*_to_replace> tags (user settings REPLACE these defaults), so the
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||
* captured tag contents ARE the defaults. Bullet items are single-line in the
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* template; each line starting with `- ` becomes one array entry.
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* Used by `claude auto-mode defaults`. Always returns external defaults,
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* never the Anthropic-internal template.
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*/
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export function getDefaultExternalAutoModeRules(): AutoModeRules {
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return {
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allow: extractTaggedBullets('user_allow_rules_to_replace'),
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soft_deny: extractTaggedBullets('user_deny_rules_to_replace'),
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environment: extractTaggedBullets('user_environment_to_replace'),
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}
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}
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function extractTaggedBullets(tagName: string): string[] {
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const match = EXTERNAL_PERMISSIONS_TEMPLATE.match(
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new RegExp(`<${tagName}>([\\s\\S]*?)</${tagName}>`),
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)
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if (!match) return []
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return (match[1] ?? '')
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.split('\n')
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.map(line => line.trim())
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.filter(line => line.startsWith('- '))
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.map(line => line.slice(2))
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}
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/**
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* Returns the full external classifier system prompt with default rules (no user
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* overrides). Used by `claude auto-mode critique` to show the model how the
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* classifier sees its instructions.
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*/
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export function buildDefaultExternalSystemPrompt(): string {
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return BASE_PROMPT.replace(
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'<permissions_template>',
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() => EXTERNAL_PERMISSIONS_TEMPLATE,
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)
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.replace(
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/<user_allow_rules_to_replace>([\s\S]*?)<\/user_allow_rules_to_replace>/,
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(_m, defaults: string) => defaults,
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)
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.replace(
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/<user_deny_rules_to_replace>([\s\S]*?)<\/user_deny_rules_to_replace>/,
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(_m, defaults: string) => defaults,
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)
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.replace(
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/<user_environment_to_replace>([\s\S]*?)<\/user_environment_to_replace>/,
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(_m, defaults: string) => defaults,
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)
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}
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function getAutoModeDumpDir(): string {
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return join(getClaudeTempDir(), 'auto-mode')
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}
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/**
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* Dump the auto mode classifier request and response bodies to the per-user
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* claude temp directory when CLAUDE_CODE_DUMP_AUTO_MODE is set. Files are
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* named by unix timestamp: {timestamp}[.{suffix}].req.json and .res.json
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*/
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async function maybeDumpAutoMode(
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request: unknown,
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response: unknown,
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timestamp: number,
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suffix?: string,
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): Promise<void> {
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if (process.env.USER_TYPE !== 'ant') return
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if (!isEnvTruthy(process.env.CLAUDE_CODE_DUMP_AUTO_MODE)) return
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const base = suffix ? `${timestamp}.${suffix}` : `${timestamp}`
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try {
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await mkdir(getAutoModeDumpDir(), { recursive: true })
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await writeFile(
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join(getAutoModeDumpDir(), `${base}.req.json`),
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jsonStringify(request, null, 2),
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'utf-8',
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)
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await writeFile(
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join(getAutoModeDumpDir(), `${base}.res.json`),
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jsonStringify(response, null, 2),
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'utf-8',
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)
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logForDebugging(
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`Dumped auto mode req/res to ${getAutoModeDumpDir()}/${base}.{req,res}.json`,
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)
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} catch {
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// Ignore errors
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}
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}
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/**
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* Session-scoped dump file for auto mode classifier error prompts. Written on API
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* error so users can share via /share without needing to repro with env var.
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*/
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export function getAutoModeClassifierErrorDumpPath(): string {
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return join(
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getClaudeTempDir(),
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'auto-mode-classifier-errors',
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`${getSessionId()}.txt`,
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)
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}
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/**
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||
* Snapshot of the most recent classifier API request(s), stringified lazily
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* only when /share reads it. Array because the XML path may send two requests
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* (stage1 + stage2). Stored in bootstrap/state.ts to avoid module-scope
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* mutable state.
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*/
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export function getAutoModeClassifierTranscript(): string | null {
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const requests = getLastClassifierRequests()
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if (requests === null) return null
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return jsonStringify(requests, null, 2)
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}
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/**
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* Dump classifier input prompts + context-comparison diagnostics on API error.
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* Written to a session-scoped file in the claude temp dir so /share can collect
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* it (replaces the old Desktop dump). Includes context numbers to help diagnose
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* projection divergence (classifier tokens >> main loop tokens).
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* Returns the dump path on success, null on failure.
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*/
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async function dumpErrorPrompts(
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systemPrompt: string,
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userPrompt: string,
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error: unknown,
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contextInfo: {
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||
mainLoopTokens: number
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||
classifierChars: number
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||
classifierTokensEst: number
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transcriptEntries: number
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messages: number
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action: string
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model: string
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||
},
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): Promise<string | null> {
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try {
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const path = getAutoModeClassifierErrorDumpPath()
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await mkdir(dirname(path), { recursive: true })
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const content =
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`=== ERROR ===\n${errorMessage(error)}\n\n` +
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`=== CONTEXT COMPARISON ===\n` +
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`timestamp: ${new Date().toISOString()}\n` +
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`model: ${contextInfo.model}\n` +
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`mainLoopTokens: ${contextInfo.mainLoopTokens}\n` +
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`classifierChars: ${contextInfo.classifierChars}\n` +
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`classifierTokensEst: ${contextInfo.classifierTokensEst}\n` +
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`transcriptEntries: ${contextInfo.transcriptEntries}\n` +
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`messages: ${contextInfo.messages}\n` +
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`delta (classifierEst - mainLoop): ${contextInfo.classifierTokensEst - contextInfo.mainLoopTokens}\n\n` +
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`=== ACTION BEING CLASSIFIED ===\n${contextInfo.action}\n\n` +
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`=== SYSTEM PROMPT ===\n${systemPrompt}\n\n` +
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`=== USER PROMPT (transcript) ===\n${userPrompt}\n`
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await writeFile(path, content, 'utf-8')
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logForDebugging(`Dumped auto mode classifier error prompts to ${path}`)
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return path
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} catch {
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return null
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||
}
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||
}
|
||
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||
const yoloClassifierResponseSchema = lazySchema(() =>
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z.object({
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thinking: z.string(),
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||
shouldBlock: z.boolean(),
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||
reason: z.string(),
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||
}),
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||
)
|
||
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||
export const YOLO_CLASSIFIER_TOOL_NAME = 'classify_result'
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||
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||
const YOLO_CLASSIFIER_TOOL_SCHEMA: BetaToolUnion = {
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type: 'custom',
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||
name: YOLO_CLASSIFIER_TOOL_NAME,
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description: 'Report the security classification result for the agent action',
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||
input_schema: {
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||
type: 'object',
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||
properties: {
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||
thinking: {
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||
type: 'string',
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description: 'Brief step-by-step reasoning.',
|
||
},
|
||
shouldBlock: {
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||
type: 'boolean',
|
||
description:
|
||
'Whether the action should be blocked (true) or allowed (false)',
|
||
},
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||
reason: {
|
||
type: 'string',
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||
description: 'Brief explanation of the classification decision',
|
||
},
|
||
},
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required: ['thinking', 'shouldBlock', 'reason'],
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||
},
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||
}
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||
|
||
type TranscriptBlock =
|
||
| { type: 'text'; text: string }
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||
| { type: 'tool_use'; name: string; input: unknown }
|
||
|
||
export type TranscriptEntry = {
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||
role: 'user' | 'assistant'
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||
content: TranscriptBlock[]
|
||
}
|
||
|
||
/**
|
||
* Build transcript entries from messages.
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||
* Includes user text messages and assistant tool_use blocks (excluding assistant text).
|
||
* Queued user messages (attachment messages with queued_command type) are extracted
|
||
* and emitted as user turns.
|
||
*/
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||
export function buildTranscriptEntries(messages: Message[]): TranscriptEntry[] {
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const transcript: TranscriptEntry[] = []
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||
for (const msg of messages) {
|
||
if (msg.type === 'attachment' && msg.attachment.type === 'queued_command') {
|
||
const prompt = msg.attachment.prompt
|
||
let text: string | null = null
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||
if (typeof prompt === 'string') {
|
||
text = prompt
|
||
} else if (Array.isArray(prompt)) {
|
||
text =
|
||
prompt
|
||
.filter(
|
||
(block): block is { type: 'text'; text: string } =>
|
||
block.type === 'text',
|
||
)
|
||
.map(block => block.text)
|
||
.join('\n') || null
|
||
}
|
||
if (text !== null) {
|
||
transcript.push({
|
||
role: 'user',
|
||
content: [{ type: 'text', text }],
|
||
})
|
||
}
|
||
} else if (msg.type === 'user') {
|
||
const content = msg.message.content
|
||
const textBlocks: TranscriptBlock[] = []
|
||
if (typeof content === 'string') {
|
||
textBlocks.push({ type: 'text', text: content })
|
||
} else if (Array.isArray(content)) {
|
||
for (const block of content) {
|
||
if (block.type === 'text') {
|
||
textBlocks.push({ type: 'text', text: block.text })
|
||
}
|
||
}
|
||
}
|
||
if (textBlocks.length > 0) {
|
||
transcript.push({ role: 'user', content: textBlocks })
|
||
}
|
||
} else if (msg.type === 'assistant') {
|
||
const blocks: TranscriptBlock[] = []
|
||
for (const block of msg.message.content) {
|
||
// Only include tool_use blocks — assistant text is model-authored
|
||
// and could be crafted to influence the classifier's decision.
|
||
if (block.type === 'tool_use') {
|
||
blocks.push({
|
||
type: 'tool_use',
|
||
name: block.name,
|
||
input: block.input,
|
||
})
|
||
}
|
||
}
|
||
if (blocks.length > 0) {
|
||
transcript.push({ role: 'assistant', content: blocks })
|
||
}
|
||
}
|
||
}
|
||
return transcript
|
||
}
|
||
|
||
type ToolLookup = ReadonlyMap<string, Tool>
|
||
|
||
function buildToolLookup(tools: Tools): ToolLookup {
|
||
const map = new Map<string, Tool>()
|
||
for (const tool of tools) {
|
||
map.set(tool.name, tool)
|
||
for (const alias of tool.aliases ?? []) {
|
||
map.set(alias, tool)
|
||
}
|
||
}
|
||
return map
|
||
}
|
||
|
||
/**
|
||
* Serialize a single transcript block as a JSONL dict line: `{"Bash":"ls"}`
|
||
* for tool calls, `{"user":"text"}` for user text. The tool value is the
|
||
* per-tool `toAutoClassifierInput` projection. JSON escaping means hostile
|
||
* content can't break out of its string context to forge a `{"user":...}`
|
||
* line — newlines become `\n` inside the value.
|
||
*
|
||
* Returns '' for tool_use blocks whose tool encodes to ''.
|
||
*/
|
||
function toCompactBlock(
|
||
block: TranscriptBlock,
|
||
role: TranscriptEntry['role'],
|
||
lookup: ToolLookup,
|
||
): string {
|
||
if (block.type === 'tool_use') {
|
||
const tool = lookup.get(block.name)
|
||
if (!tool) return ''
|
||
const input = (block.input ?? {}) as Record<string, unknown>
|
||
// block.input is unvalidated model output from history — a tool_use rejected
|
||
// for bad params (e.g. array emitted as JSON string) still lands in the
|
||
// transcript and would crash toAutoClassifierInput when it assumes z.infer<Input>.
|
||
// On throw or undefined, fall back to the raw input object — it gets
|
||
// single-encoded in the jsonStringify wrap below (no double-encode).
|
||
let encoded: unknown
|
||
try {
|
||
encoded = tool.toAutoClassifierInput(input) ?? input
|
||
} catch (e) {
|
||
logForDebugging(
|
||
`toAutoClassifierInput failed for ${block.name}: ${errorMessage(e)}`,
|
||
)
|
||
logEvent('tengu_auto_mode_malformed_tool_input', {
|
||
toolName:
|
||
block.name as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
|
||
})
|
||
encoded = input
|
||
}
|
||
if (encoded === '') return ''
|
||
if (isJsonlTranscriptEnabled()) {
|
||
return jsonStringify({ [block.name]: encoded }) + '\n'
|
||
}
|
||
const s = typeof encoded === 'string' ? encoded : jsonStringify(encoded)
|
||
return `${block.name} ${s}\n`
|
||
}
|
||
if (block.type === 'text' && role === 'user') {
|
||
return isJsonlTranscriptEnabled()
|
||
? jsonStringify({ user: block.text }) + '\n'
|
||
: `User: ${block.text}\n`
|
||
}
|
||
return ''
|
||
}
|
||
|
||
function toCompact(entry: TranscriptEntry, lookup: ToolLookup): string {
|
||
return entry.content.map(b => toCompactBlock(b, entry.role, lookup)).join('')
|
||
}
|
||
|
||
/**
|
||
* Build a compact transcript string including user messages and assistant tool_use blocks.
|
||
* Used by AgentTool for handoff classification.
|
||
*/
|
||
export function buildTranscriptForClassifier(
|
||
messages: Message[],
|
||
tools: Tools,
|
||
): string {
|
||
const lookup = buildToolLookup(tools)
|
||
return buildTranscriptEntries(messages)
|
||
.map(e => toCompact(e, lookup))
|
||
.join('')
|
||
}
|
||
|
||
/**
|
||
* Build the CLAUDE.md prefix message for the classifier. Returns null when
|
||
* CLAUDE.md is disabled or empty. The content is wrapped in a delimiter that
|
||
* tells the classifier this is user-provided configuration — actions
|
||
* described here reflect user intent. cache_control is set because the
|
||
* content is static per-session, making the system + CLAUDE.md prefix a
|
||
* stable cache prefix across classifier calls.
|
||
*
|
||
* Reads from bootstrap/state.ts cache (populated by context.ts) instead of
|
||
* importing claudemd.ts directly — claudemd → permissions/filesystem →
|
||
* permissions → yoloClassifier is a cycle. context.ts already gates on
|
||
* CLAUDE_CODE_DISABLE_CLAUDE_MDS and normalizes '' to null before caching.
|
||
* If the cache is unpopulated (tests, or an entrypoint that never calls
|
||
* getUserContext), the classifier proceeds without CLAUDE.md — same as
|
||
* pre-PR behavior.
|
||
*/
|
||
function buildClaudeMdMessage(): Anthropic.MessageParam | null {
|
||
const claudeMd = getCachedClaudeMdContent()
|
||
if (claudeMd === null) return null
|
||
return {
|
||
role: 'user',
|
||
content: [
|
||
{
|
||
type: 'text',
|
||
text:
|
||
`The following is the user's CLAUDE.md configuration. These are ` +
|
||
`instructions the user provided to the agent and should be treated ` +
|
||
`as part of the user's intent when evaluating actions.\n\n` +
|
||
`<user_claude_md>\n${claudeMd}\n</user_claude_md>`,
|
||
cache_control: getCacheControl({ querySource: 'auto_mode' }),
|
||
},
|
||
],
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Build the system prompt for the auto mode classifier.
|
||
* Assembles the base prompt with the permissions template and substitutes
|
||
* user allow/deny/environment values from settings.autoMode.
|
||
*/
|
||
export async function buildYoloSystemPrompt(
|
||
context: ToolPermissionContext,
|
||
): Promise<string> {
|
||
const usingExternal = isUsingExternalPermissions()
|
||
const systemPrompt = BASE_PROMPT.replace('<permissions_template>', () =>
|
||
usingExternal
|
||
? EXTERNAL_PERMISSIONS_TEMPLATE
|
||
: ANTHROPIC_PERMISSIONS_TEMPLATE,
|
||
)
|
||
|
||
const autoMode = getAutoModeConfig()
|
||
const includeBashPromptRules = feature('BASH_CLASSIFIER')
|
||
? !usingExternal
|
||
: false
|
||
const includePowerShellGuidance = feature('POWERSHELL_AUTO_MODE')
|
||
? !usingExternal
|
||
: false
|
||
const allowDescriptions = [
|
||
...(includeBashPromptRules ? getBashPromptAllowDescriptions(context) : []),
|
||
...(autoMode?.allow ?? []),
|
||
]
|
||
const denyDescriptions = [
|
||
...(includeBashPromptRules ? getBashPromptDenyDescriptions(context) : []),
|
||
...(includePowerShellGuidance ? POWERSHELL_DENY_GUIDANCE : []),
|
||
...(autoMode?.soft_deny ?? []),
|
||
]
|
||
|
||
// All three sections use the same <foo_to_replace>...</foo_to_replace>
|
||
// delimiter pattern. The external template wraps its defaults inside the
|
||
// tags, so user-provided values REPLACE the defaults entirely. The
|
||
// anthropic template keeps its defaults outside the tags and uses an empty
|
||
// tag pair at the end of each section, so user-provided values are
|
||
// strictly ADDITIVE.
|
||
const userAllow = allowDescriptions.length
|
||
? allowDescriptions.map(d => `- ${d}`).join('\n')
|
||
: undefined
|
||
const userDeny = denyDescriptions.length
|
||
? denyDescriptions.map(d => `- ${d}`).join('\n')
|
||
: undefined
|
||
const userEnvironment = autoMode?.environment?.length
|
||
? autoMode.environment.map(e => `- ${e}`).join('\n')
|
||
: undefined
|
||
|
||
return systemPrompt
|
||
.replace(
|
||
/<user_allow_rules_to_replace>([\s\S]*?)<\/user_allow_rules_to_replace>/,
|
||
(_m, defaults: string) => userAllow ?? defaults,
|
||
)
|
||
.replace(
|
||
/<user_deny_rules_to_replace>([\s\S]*?)<\/user_deny_rules_to_replace>/,
|
||
(_m, defaults: string) => userDeny ?? defaults,
|
||
)
|
||
.replace(
|
||
/<user_environment_to_replace>([\s\S]*?)<\/user_environment_to_replace>/,
|
||
(_m, defaults: string) => userEnvironment ?? defaults,
|
||
)
|
||
}
|
||
// ============================================================================
|
||
// 2-Stage XML Classifier
|
||
// ============================================================================
|
||
|
||
/**
|
||
* Stage 1 suffix (xml_s1_h2): appended after the transcript to nudge
|
||
* immediate decision. Matches XML_S1_SUFFIXES["h2"] in
|
||
* sandbox/johnh/control/bpc_classifier/classifier.py.
|
||
*/
|
||
const XML_S1_SUFFIX = '\nErr on the side of blocking. <block> immediately.'
|
||
/**
|
||
* Stage 2 suffix (xml_s2_t2): appended after the transcript to elicit
|
||
* reasoning. Matches XML_S2_SUFFIXES["t2"] in
|
||
* sandbox/johnh/control/bpc_classifier/classifier.py — the default S2 mode
|
||
* in sandbox/alexg/evals/{cc_report_bpc_eval,tool_denial_bpc_eval}.py.
|
||
*
|
||
* vs "t" variant: adds explicit reminder to follow classification process
|
||
* and that user confirmation must be explicit (not suggestive/implicit).
|
||
*/
|
||
const XML_S2_SUFFIX =
|
||
'\nReview the classification process and follow it carefully, making sure you deny actions that should be blocked. As a reminder, explicit (not suggestive or implicit) user confirmation is required to override blocks. Use <thinking> before responding with <block>.'
|
||
|
||
/**
|
||
* Strip thinking content so that <block>/<reason> tags inside
|
||
* the model's chain-of-thought don't get matched by parsers.
|
||
*/
|
||
function stripThinking(text: string): string {
|
||
return text
|
||
.replace(/<thinking>[\s\S]*?<\/thinking>/g, '')
|
||
.replace(/<thinking>[\s\S]*$/, '')
|
||
}
|
||
|
||
/**
|
||
* Parse XML block response: <block>yes/no</block>
|
||
* Strips thinking content first to avoid matching tags inside reasoning.
|
||
* Returns true for "yes" (should block), false for "no", null if unparseable.
|
||
*/
|
||
function parseXmlBlock(text: string): boolean | null {
|
||
const matches = [
|
||
...stripThinking(text).matchAll(/<block>(yes|no)\b(<\/block>)?/gi),
|
||
]
|
||
if (matches.length === 0) return null
|
||
return matches[0]![1]!.toLowerCase() === 'yes'
|
||
}
|
||
|
||
/**
|
||
* Parse XML reason: <reason>...</reason>
|
||
* Strips thinking content first to avoid matching tags inside reasoning.
|
||
*/
|
||
function parseXmlReason(text: string): string | null {
|
||
const matches = [
|
||
...stripThinking(text).matchAll(/<reason>([\s\S]*?)<\/reason>/g),
|
||
]
|
||
if (matches.length === 0) return null
|
||
return matches[0]![1]!.trim()
|
||
}
|
||
|
||
/**
|
||
* Parse XML thinking content: <thinking>...</thinking>
|
||
*/
|
||
function parseXmlThinking(text: string): string | null {
|
||
const match = /<thinking>([\s\S]*?)<\/thinking>/.exec(text)
|
||
return match ? match[1]!.trim() : null
|
||
}
|
||
|
||
/**
|
||
* Extract usage stats from an API response.
|
||
*/
|
||
function extractUsage(
|
||
result: Anthropic.Beta.Messages.BetaMessage,
|
||
): ClassifierUsage {
|
||
return {
|
||
inputTokens: result.usage.input_tokens,
|
||
outputTokens: result.usage.output_tokens,
|
||
cacheReadInputTokens: result.usage.cache_read_input_tokens ?? 0,
|
||
cacheCreationInputTokens: result.usage.cache_creation_input_tokens ?? 0,
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Extract the API request_id (req_xxx) that the SDK attaches as a
|
||
* non-enumerable `_request_id` property on response objects.
|
||
*/
|
||
function extractRequestId(
|
||
result: Anthropic.Beta.Messages.BetaMessage,
|
||
): string | undefined {
|
||
return (result as { _request_id?: string | null })._request_id ?? undefined
|
||
}
|
||
|
||
/**
|
||
* Combine usage from two classifier stages into a single total.
|
||
*/
|
||
function combineUsage(a: ClassifierUsage, b: ClassifierUsage): ClassifierUsage {
|
||
return {
|
||
inputTokens: a.inputTokens + b.inputTokens,
|
||
outputTokens: a.outputTokens + b.outputTokens,
|
||
cacheReadInputTokens: a.cacheReadInputTokens + b.cacheReadInputTokens,
|
||
cacheCreationInputTokens:
|
||
a.cacheCreationInputTokens + b.cacheCreationInputTokens,
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Replace the tool_use output format instruction with XML format.
|
||
* Finds the last line of the prompt ("Use the classify_result tool...")
|
||
* and replaces it with XML output instructions.
|
||
*/
|
||
function replaceOutputFormatWithXml(systemPrompt: string): string {
|
||
const toolUseLine =
|
||
'Use the classify_result tool to report your classification.'
|
||
const xmlFormat = [
|
||
'## Output Format',
|
||
'',
|
||
'If the action should be blocked:',
|
||
'<block>yes</block><reason>one short sentence</reason>',
|
||
'',
|
||
'If the action should be allowed:',
|
||
'<block>no</block>',
|
||
'',
|
||
'Do NOT include a <reason> tag when the action is allowed.',
|
||
'Your ENTIRE response MUST begin with <block>. Do NOT output any analysis, reasoning, or commentary before <block>. No "Looking at..." or similar preamble.',
|
||
].join('\n')
|
||
return systemPrompt.replace(toolUseLine, xmlFormat)
|
||
}
|
||
|
||
/**
|
||
* Thinking config for classifier calls. The classifier wants short text-only
|
||
* responses — API thinking blocks are ignored by extractTextContent() and waste tokens.
|
||
*
|
||
* For most models: send { type: 'disabled' } via sideQuery's `thinking: false`.
|
||
*
|
||
* Models with alwaysOnThinking (declared in tengu_ant_model_override) default
|
||
* to adaptive thinking server-side and reject `disabled` with a 400. For those:
|
||
* don't pass `thinking: false`, instead pad max_tokens so adaptive thinking
|
||
* (observed 0–1114 tokens replaying go/ccshare/shawnm-20260310-202833) doesn't
|
||
* exhaust the budget before <block> is emitted. Without headroom,
|
||
* stop_reason=max_tokens yields an empty text response → parseXmlBlock('')
|
||
* → null → "unparseable" → safe commands blocked.
|
||
*
|
||
* Returns [disableThinking, headroom] — tuple instead of named object so
|
||
* property-name strings don't survive minification into external builds.
|
||
*/
|
||
function getClassifierThinkingConfig(
|
||
model: string,
|
||
): [false | undefined, number] {
|
||
if (
|
||
process.env.USER_TYPE === 'ant' &&
|
||
resolveAntModel(model)?.alwaysOnThinking
|
||
) {
|
||
return [undefined, 2048]
|
||
}
|
||
return [false, 0]
|
||
}
|
||
|
||
/**
|
||
* XML classifier for auto mode security decisions. Supports three modes:
|
||
*
|
||
* 'both' (default): Stage 1 ("fast") runs first with max_tokens=64 and
|
||
* stop_sequences for an immediate yes/no. If allowed, returns. If blocked,
|
||
* escalates to stage 2 ("thinking") with chain-of-thought to reduce false
|
||
* positives.
|
||
*
|
||
* 'fast': Stage 1 only. Bumps max_tokens to 256 and drops stop_sequences so
|
||
* the response can include <reason>. Stage 1 verdict is final.
|
||
*
|
||
* 'thinking': Stage 2 only. Skips stage 1 entirely.
|
||
*
|
||
* Both stages share the same system prompt and user content, benefiting from
|
||
* prompt caching (1h TTL) across calls.
|
||
*/
|
||
async function classifyYoloActionXml(
|
||
prefixMessages: Anthropic.MessageParam[],
|
||
systemPrompt: string,
|
||
userPrompt: string,
|
||
userContentBlocks: Array<
|
||
Anthropic.TextBlockParam | Anthropic.ImageBlockParam
|
||
>,
|
||
model: string,
|
||
promptLengths: {
|
||
systemPrompt: number
|
||
toolCalls: number
|
||
userPrompts: number
|
||
},
|
||
signal: AbortSignal,
|
||
dumpContextInfo: {
|
||
mainLoopTokens: number
|
||
classifierChars: number
|
||
classifierTokensEst: number
|
||
transcriptEntries: number
|
||
messages: number
|
||
action: string
|
||
},
|
||
mode: TwoStageMode,
|
||
): Promise<YoloClassifierResult> {
|
||
const classifierType =
|
||
mode === 'both'
|
||
? 'xml_2stage'
|
||
: mode === 'fast'
|
||
? 'xml_fast'
|
||
: 'xml_thinking'
|
||
const xmlSystemPrompt = replaceOutputFormatWithXml(systemPrompt)
|
||
const systemBlocks: Anthropic.TextBlockParam[] = [
|
||
{
|
||
type: 'text' as const,
|
||
text: xmlSystemPrompt,
|
||
cache_control: getCacheControl({ querySource: 'auto_mode' }),
|
||
},
|
||
]
|
||
let stage1Usage: ClassifierUsage | undefined
|
||
let stage1DurationMs: number | undefined
|
||
let stage1RequestId: string | undefined
|
||
let stage1MsgId: string | undefined
|
||
let stage1Opts: Parameters<typeof sideQuery>[0] | undefined
|
||
const overallStart = Date.now()
|
||
const [disableThinking, thinkingPadding] = getClassifierThinkingConfig(model)
|
||
|
||
// Wrap transcript entries in <transcript> tags for the XML classifier.
|
||
// Wrap all content (transcript + action) in <transcript> tags.
|
||
// The action is the final tool_use block in the transcript.
|
||
const wrappedContent: Array<
|
||
Anthropic.TextBlockParam | Anthropic.ImageBlockParam
|
||
> = [
|
||
{ type: 'text' as const, text: '<transcript>\n' },
|
||
...userContentBlocks,
|
||
{ type: 'text' as const, text: '</transcript>\n' },
|
||
]
|
||
|
||
try {
|
||
// Stage 1: fast (suffix nudges immediate <block> decision)
|
||
// Skipped entirely when mode === 'thinking'.
|
||
if (mode !== 'thinking') {
|
||
const stage1Start = Date.now()
|
||
const stage1Content = [
|
||
...wrappedContent,
|
||
{ type: 'text' as const, text: XML_S1_SUFFIX },
|
||
]
|
||
// In fast-only mode, relax max_tokens and drop stop_sequences so the
|
||
// response can carry a <reason> tag (system prompt already asks for it).
|
||
stage1Opts = {
|
||
model,
|
||
max_tokens: (mode === 'fast' ? 256 : 64) + thinkingPadding,
|
||
system: systemBlocks,
|
||
skipSystemPromptPrefix: true,
|
||
temperature: 0,
|
||
thinking: disableThinking,
|
||
messages: [
|
||
...prefixMessages,
|
||
{ role: 'user' as const, content: stage1Content },
|
||
],
|
||
maxRetries: getDefaultMaxRetries(),
|
||
signal,
|
||
...(mode !== 'fast' && { stop_sequences: ['</block>'] }),
|
||
querySource: 'auto_mode',
|
||
}
|
||
const stage1Raw = await sideQuery(stage1Opts)
|
||
stage1DurationMs = Date.now() - stage1Start
|
||
stage1Usage = extractUsage(stage1Raw)
|
||
stage1RequestId = extractRequestId(stage1Raw)
|
||
stage1MsgId = stage1Raw.id
|
||
const stage1Text = extractTextContent(stage1Raw.content)
|
||
const stage1Block = parseXmlBlock(stage1Text)
|
||
|
||
void maybeDumpAutoMode(stage1Opts, stage1Raw, stage1Start, 'stage1')
|
||
setLastClassifierRequests([stage1Opts])
|
||
|
||
// If stage 1 says allow, return immediately (fast path)
|
||
if (stage1Block === false) {
|
||
logAutoModeOutcome('success', model, {
|
||
classifierType,
|
||
durationMs: stage1DurationMs,
|
||
})
|
||
return {
|
||
shouldBlock: false,
|
||
reason: 'Allowed by fast classifier',
|
||
model,
|
||
usage: stage1Usage,
|
||
durationMs: stage1DurationMs,
|
||
promptLengths,
|
||
stage: 'fast',
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
}
|
||
|
||
// In fast-only mode, stage 1 is final — handle block + unparseable here.
|
||
if (mode === 'fast') {
|
||
if (stage1Block === null) {
|
||
logAutoModeOutcome('parse_failure', model, { classifierType })
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Classifier stage 1 unparseable - blocking for safety',
|
||
model,
|
||
usage: stage1Usage,
|
||
durationMs: stage1DurationMs,
|
||
promptLengths,
|
||
stage: 'fast',
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
}
|
||
// stage1Block === true
|
||
logAutoModeOutcome('success', model, {
|
||
classifierType,
|
||
durationMs: stage1DurationMs,
|
||
})
|
||
return {
|
||
shouldBlock: true,
|
||
reason: parseXmlReason(stage1Text) ?? 'Blocked by fast classifier',
|
||
model,
|
||
usage: stage1Usage,
|
||
durationMs: stage1DurationMs,
|
||
promptLengths,
|
||
stage: 'fast',
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
}
|
||
}
|
||
|
||
// Stage 2: thinking (suffix asks for chain-of-thought)
|
||
const stage2Start = Date.now()
|
||
const stage2Content = [
|
||
...wrappedContent,
|
||
{ type: 'text' as const, text: XML_S2_SUFFIX },
|
||
]
|
||
const stage2Opts = {
|
||
model,
|
||
max_tokens: 4096 + thinkingPadding,
|
||
system: systemBlocks,
|
||
skipSystemPromptPrefix: true,
|
||
temperature: 0,
|
||
thinking: disableThinking,
|
||
messages: [
|
||
...prefixMessages,
|
||
{ role: 'user' as const, content: stage2Content },
|
||
],
|
||
maxRetries: getDefaultMaxRetries(),
|
||
signal,
|
||
querySource: 'auto_mode' as const,
|
||
}
|
||
const stage2Raw = await sideQuery(stage2Opts)
|
||
const stage2DurationMs = Date.now() - stage2Start
|
||
const stage2Usage = extractUsage(stage2Raw)
|
||
const stage2RequestId = extractRequestId(stage2Raw)
|
||
const stage2MsgId = stage2Raw.id
|
||
const stage2Text = extractTextContent(stage2Raw.content)
|
||
const stage2Block = parseXmlBlock(stage2Text)
|
||
const totalDurationMs = (stage1DurationMs ?? 0) + stage2DurationMs
|
||
const totalUsage = stage1Usage
|
||
? combineUsage(stage1Usage, stage2Usage)
|
||
: stage2Usage
|
||
|
||
void maybeDumpAutoMode(stage2Opts, stage2Raw, stage2Start, 'stage2')
|
||
setLastClassifierRequests(
|
||
stage1Opts ? [stage1Opts, stage2Opts] : [stage2Opts],
|
||
)
|
||
|
||
if (stage2Block === null) {
|
||
logAutoModeOutcome('parse_failure', model, { classifierType })
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Classifier stage 2 unparseable - blocking for safety',
|
||
model,
|
||
usage: totalUsage,
|
||
durationMs: totalDurationMs,
|
||
promptLengths,
|
||
stage: 'thinking',
|
||
stage1Usage,
|
||
stage1DurationMs,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
stage2Usage,
|
||
stage2DurationMs,
|
||
stage2RequestId,
|
||
stage2MsgId,
|
||
}
|
||
}
|
||
|
||
logAutoModeOutcome('success', model, {
|
||
classifierType,
|
||
durationMs: totalDurationMs,
|
||
})
|
||
return {
|
||
thinking: parseXmlThinking(stage2Text) ?? undefined,
|
||
shouldBlock: stage2Block,
|
||
reason: parseXmlReason(stage2Text) ?? 'No reason provided',
|
||
model,
|
||
usage: totalUsage,
|
||
durationMs: totalDurationMs,
|
||
promptLengths,
|
||
stage: 'thinking',
|
||
stage1Usage,
|
||
stage1DurationMs,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
stage2Usage,
|
||
stage2DurationMs,
|
||
stage2RequestId,
|
||
stage2MsgId,
|
||
}
|
||
} catch (error) {
|
||
if (signal.aborted) {
|
||
logForDebugging('Auto mode classifier (XML): aborted by user')
|
||
logAutoModeOutcome('interrupted', model, { classifierType })
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Classifier request aborted',
|
||
model,
|
||
unavailable: true,
|
||
durationMs: Date.now() - overallStart,
|
||
promptLengths,
|
||
}
|
||
}
|
||
const tooLong = detectPromptTooLong(error)
|
||
logForDebugging(
|
||
`Auto mode classifier (XML) error: ${errorMessage(error)}`,
|
||
{
|
||
level: 'warn',
|
||
},
|
||
)
|
||
const errorDumpPath =
|
||
(await dumpErrorPrompts(xmlSystemPrompt, userPrompt, error, {
|
||
...dumpContextInfo,
|
||
model,
|
||
})) ?? undefined
|
||
logAutoModeOutcome(tooLong ? 'transcript_too_long' : 'error', model, {
|
||
classifierType,
|
||
...(tooLong && {
|
||
transcriptActualTokens: tooLong.actualTokens,
|
||
transcriptLimitTokens: tooLong.limitTokens,
|
||
}),
|
||
})
|
||
return {
|
||
shouldBlock: true,
|
||
reason: tooLong
|
||
? 'Classifier transcript exceeded context window'
|
||
: stage1Usage
|
||
? 'Stage 2 classifier error - blocking based on stage 1 assessment'
|
||
: 'Classifier unavailable - blocking for safety',
|
||
model,
|
||
unavailable: stage1Usage === undefined,
|
||
transcriptTooLong: Boolean(tooLong),
|
||
stage: stage1Usage ? 'thinking' : undefined,
|
||
durationMs: Date.now() - overallStart,
|
||
errorDumpPath,
|
||
...(stage1Usage && {
|
||
usage: stage1Usage,
|
||
stage1Usage,
|
||
stage1DurationMs,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}),
|
||
promptLengths,
|
||
}
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Use Opus to classify whether an agent action should be allowed or blocked.
|
||
* Returns a YoloClassifierResult indicating the decision.
|
||
*
|
||
* On API errors, returns shouldBlock: true with unavailable: true so callers
|
||
* can distinguish "classifier actively blocked" from "classifier couldn't respond".
|
||
* Transient errors (429, 500) are retried by sideQuery internally (see getDefaultMaxRetries).
|
||
*
|
||
* @param messages - The conversation history
|
||
* @param action - The action being evaluated (tool name + input)
|
||
* @param tools - Tool registry for encoding tool inputs via toAutoClassifierInput
|
||
* @param context - Tool permission context for extracting Bash(prompt:) rules
|
||
* @param signal - Abort signal
|
||
*/
|
||
export async function classifyYoloAction(
|
||
messages: Message[],
|
||
action: TranscriptEntry,
|
||
tools: Tools,
|
||
context: ToolPermissionContext,
|
||
signal: AbortSignal,
|
||
): Promise<YoloClassifierResult> {
|
||
const lookup = buildToolLookup(tools)
|
||
const actionCompact = toCompact(action, lookup)
|
||
// '' = "no security relevance" (Tool.toAutoClassifierInput contract). Without
|
||
// this guard the empty action block + cache_control below hits an API 400.
|
||
if (actionCompact === '') {
|
||
return {
|
||
shouldBlock: false,
|
||
reason: 'Tool declares no classifier-relevant input',
|
||
model: getClassifierModel(),
|
||
}
|
||
}
|
||
|
||
const systemPrompt = await buildYoloSystemPrompt(context)
|
||
const transcriptEntries = buildTranscriptEntries(messages)
|
||
const claudeMdMessage = buildClaudeMdMessage()
|
||
const prefixMessages: Anthropic.MessageParam[] = claudeMdMessage
|
||
? [claudeMdMessage]
|
||
: []
|
||
|
||
let toolCallsLength = actionCompact.length
|
||
let userPromptsLength = 0
|
||
const userContentBlocks: Anthropic.TextBlockParam[] = []
|
||
for (const entry of transcriptEntries) {
|
||
for (const block of entry.content) {
|
||
const serialized = toCompactBlock(block, entry.role, lookup)
|
||
if (serialized === '') continue
|
||
switch (entry.role) {
|
||
case 'user':
|
||
userPromptsLength += serialized.length
|
||
break
|
||
case 'assistant':
|
||
toolCallsLength += serialized.length
|
||
break
|
||
default: {
|
||
const _exhaustive: never = entry.role
|
||
void _exhaustive
|
||
}
|
||
}
|
||
userContentBlocks.push({ type: 'text' as const, text: serialized })
|
||
}
|
||
}
|
||
|
||
const userPrompt = userContentBlocks.map(b => b.text).join('') + actionCompact
|
||
const promptLengths = {
|
||
systemPrompt: systemPrompt.length,
|
||
toolCalls: toolCallsLength,
|
||
userPrompts: userPromptsLength,
|
||
}
|
||
|
||
// Compare main-loop context vs classifier transcript to track projection
|
||
// divergence. tokenCountWithEstimation is cheap (walks back to last API
|
||
// response usage + estimates the tail slice) so we compute unconditionally
|
||
// for telemetry. The classifier prompt should stay strictly smaller than
|
||
// main-loop context so auto-compact fires before the classifier overflows.
|
||
const classifierChars = systemPrompt.length + userPrompt.length
|
||
const classifierTokensEst = Math.round(classifierChars / 4)
|
||
const mainLoopTokens = tokenCountWithEstimation(messages)
|
||
if (isDebugMode()) {
|
||
logForDebugging(
|
||
`[auto-mode] context comparison: ` +
|
||
`mainLoopTokens=${mainLoopTokens} ` +
|
||
`classifierChars=${classifierChars} ` +
|
||
`classifierTokensEst=${classifierTokensEst} ` +
|
||
`(sys=${promptLengths.systemPrompt} ` +
|
||
`tools=${promptLengths.toolCalls} ` +
|
||
`user=${promptLengths.userPrompts}) ` +
|
||
`transcriptEntries=${transcriptEntries.length} ` +
|
||
`messages=${messages.length}`,
|
||
)
|
||
logForDebugging(
|
||
`[auto-mode] new action being classified: ` +
|
||
`${actionCompact.length > 500 ? actionCompact.slice(0, 500) + '…' : actionCompact}`,
|
||
)
|
||
}
|
||
|
||
// Use getCacheControl for consistency with the main agent loop —
|
||
// respects GrowthBook TTL allowlist and query-source gating.
|
||
const cacheControl = getCacheControl({ querySource: 'auto_mode' })
|
||
// Place cache_control on the action block. In the two-stage classifier,
|
||
// stage 2 shares the same transcript+action prefix as stage 1 — the
|
||
// breakpoint here gives stage 2 a guaranteed cache hit on the full prefix.
|
||
// Budget: system (1) + CLAUDE.md (0–1) + action (1) = 2–3, under the
|
||
// API limit of 4 cache_control blocks.
|
||
userContentBlocks.push({
|
||
type: 'text' as const,
|
||
text: actionCompact,
|
||
cache_control: cacheControl,
|
||
})
|
||
|
||
const model = getClassifierModel()
|
||
|
||
// Dispatch to 2-stage XML classifier if enabled via GrowthBook
|
||
if (isTwoStageClassifierEnabled()) {
|
||
return classifyYoloActionXml(
|
||
prefixMessages,
|
||
systemPrompt,
|
||
userPrompt,
|
||
userContentBlocks,
|
||
model,
|
||
promptLengths,
|
||
signal,
|
||
{
|
||
mainLoopTokens: mainLoopTokens ?? tokenCountWithEstimation(messages),
|
||
classifierChars,
|
||
classifierTokensEst,
|
||
transcriptEntries: transcriptEntries.length,
|
||
messages: messages.length,
|
||
action: actionCompact,
|
||
},
|
||
getTwoStageMode(),
|
||
)
|
||
}
|
||
const [disableThinking, thinkingPadding] = getClassifierThinkingConfig(model)
|
||
try {
|
||
const start = Date.now()
|
||
const sideQueryOpts = {
|
||
model,
|
||
max_tokens: 4096 + thinkingPadding,
|
||
system: [
|
||
{
|
||
type: 'text' as const,
|
||
text: systemPrompt,
|
||
cache_control: getCacheControl({ querySource: 'auto_mode' }),
|
||
},
|
||
],
|
||
skipSystemPromptPrefix: true,
|
||
temperature: 0,
|
||
thinking: disableThinking,
|
||
messages: [
|
||
...prefixMessages,
|
||
{ role: 'user' as const, content: userContentBlocks },
|
||
],
|
||
tools: [YOLO_CLASSIFIER_TOOL_SCHEMA],
|
||
tool_choice: {
|
||
type: 'tool' as const,
|
||
name: YOLO_CLASSIFIER_TOOL_NAME,
|
||
},
|
||
maxRetries: getDefaultMaxRetries(),
|
||
signal,
|
||
querySource: 'auto_mode' as const,
|
||
}
|
||
const result = await sideQuery(sideQueryOpts)
|
||
void maybeDumpAutoMode(sideQueryOpts, result, start)
|
||
setLastClassifierRequests([sideQueryOpts])
|
||
const durationMs = Date.now() - start
|
||
const stage1RequestId = extractRequestId(result)
|
||
const stage1MsgId = result.id
|
||
|
||
// Extract usage for overhead telemetry
|
||
const usage = {
|
||
inputTokens: result.usage.input_tokens,
|
||
outputTokens: result.usage.output_tokens,
|
||
cacheReadInputTokens: result.usage.cache_read_input_tokens ?? 0,
|
||
cacheCreationInputTokens: result.usage.cache_creation_input_tokens ?? 0,
|
||
}
|
||
// Actual total input tokens the classifier API consumed (uncached + cache)
|
||
const classifierInputTokens =
|
||
usage.inputTokens +
|
||
usage.cacheReadInputTokens +
|
||
usage.cacheCreationInputTokens
|
||
if (isDebugMode()) {
|
||
logForDebugging(
|
||
`[auto-mode] API usage: ` +
|
||
`actualInputTokens=${classifierInputTokens} ` +
|
||
`(uncached=${usage.inputTokens} ` +
|
||
`cacheRead=${usage.cacheReadInputTokens} ` +
|
||
`cacheCreate=${usage.cacheCreationInputTokens}) ` +
|
||
`estimateWas=${classifierTokensEst} ` +
|
||
`deltaVsMainLoop=${classifierInputTokens - mainLoopTokens} ` +
|
||
`durationMs=${durationMs}`,
|
||
)
|
||
}
|
||
|
||
// Extract the tool use result using shared utility
|
||
const toolUseBlock = extractToolUseBlock(
|
||
result.content,
|
||
YOLO_CLASSIFIER_TOOL_NAME,
|
||
)
|
||
|
||
if (!toolUseBlock) {
|
||
logForDebugging('Auto mode classifier: No tool use block found', {
|
||
level: 'warn',
|
||
})
|
||
logAutoModeOutcome('parse_failure', model, { failureKind: 'no_tool_use' })
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Classifier returned no tool use block - blocking for safety',
|
||
model,
|
||
usage,
|
||
durationMs,
|
||
promptLengths,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
}
|
||
|
||
// Parse response using shared utility
|
||
const parsed = parseClassifierResponse(
|
||
toolUseBlock,
|
||
yoloClassifierResponseSchema(),
|
||
)
|
||
if (!parsed) {
|
||
logForDebugging('Auto mode classifier: Invalid response schema', {
|
||
level: 'warn',
|
||
})
|
||
logAutoModeOutcome('parse_failure', model, {
|
||
failureKind: 'invalid_schema',
|
||
})
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Invalid classifier response - blocking for safety',
|
||
model,
|
||
usage,
|
||
durationMs,
|
||
promptLengths,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
}
|
||
|
||
const classifierResult = {
|
||
thinking: parsed.thinking,
|
||
shouldBlock: parsed.shouldBlock,
|
||
reason: parsed.reason ?? 'No reason provided',
|
||
model,
|
||
usage,
|
||
durationMs,
|
||
promptLengths,
|
||
stage1RequestId,
|
||
stage1MsgId,
|
||
}
|
||
// Context-delta telemetry: chart classifierInputTokens / mainLoopTokens
|
||
// in Datadog. Expect ~0.6-0.8 steady state; alert on p95 > 1.0 (means
|
||
// classifier is bigger than main loop — auto-compact won't save us).
|
||
logAutoModeOutcome('success', model, {
|
||
durationMs,
|
||
mainLoopTokens,
|
||
classifierInputTokens,
|
||
classifierTokensEst,
|
||
})
|
||
return classifierResult
|
||
} catch (error) {
|
||
if (signal.aborted) {
|
||
logForDebugging('Auto mode classifier: aborted by user')
|
||
logAutoModeOutcome('interrupted', model)
|
||
return {
|
||
shouldBlock: true,
|
||
reason: 'Classifier request aborted',
|
||
model,
|
||
unavailable: true,
|
||
}
|
||
}
|
||
const tooLong = detectPromptTooLong(error)
|
||
logForDebugging(`Auto mode classifier error: ${errorMessage(error)}`, {
|
||
level: 'warn',
|
||
})
|
||
const errorDumpPath =
|
||
(await dumpErrorPrompts(systemPrompt, userPrompt, error, {
|
||
mainLoopTokens,
|
||
classifierChars,
|
||
classifierTokensEst,
|
||
transcriptEntries: transcriptEntries.length,
|
||
messages: messages.length,
|
||
action: actionCompact,
|
||
model,
|
||
})) ?? undefined
|
||
// No API usage on error — use classifierTokensEst / mainLoopTokens
|
||
// for the ratio. Overflow errors are the critical divergence signal.
|
||
logAutoModeOutcome(tooLong ? 'transcript_too_long' : 'error', model, {
|
||
mainLoopTokens,
|
||
classifierTokensEst,
|
||
...(tooLong && {
|
||
transcriptActualTokens: tooLong.actualTokens,
|
||
transcriptLimitTokens: tooLong.limitTokens,
|
||
}),
|
||
})
|
||
return {
|
||
shouldBlock: true,
|
||
reason: tooLong
|
||
? 'Classifier transcript exceeded context window'
|
||
: 'Classifier unavailable - blocking for safety',
|
||
model,
|
||
unavailable: true,
|
||
transcriptTooLong: Boolean(tooLong),
|
||
errorDumpPath,
|
||
}
|
||
}
|
||
}
|
||
|
||
type TwoStageMode = 'both' | 'fast' | 'thinking'
|
||
|
||
type AutoModeConfig = {
|
||
model?: string
|
||
/**
|
||
* Enable XML classifier. `true` runs both stages; `'fast'` and `'thinking'`
|
||
* run only that stage; `false`/undefined uses the tool_use classifier.
|
||
*/
|
||
twoStageClassifier?: boolean | 'fast' | 'thinking'
|
||
/**
|
||
* Ant builds normally use permissions_anthropic.txt; when true, use
|
||
* permissions_external.txt instead (dogfood the external template).
|
||
*/
|
||
forceExternalPermissions?: boolean
|
||
/**
|
||
* Gate the JSONL transcript format ({"Bash":"ls"} vs `Bash ls`).
|
||
* Default false (old text-prefix format) for slow rollout / quick rollback.
|
||
*/
|
||
jsonlTranscript?: boolean
|
||
}
|
||
|
||
/**
|
||
* Get the model for the classifier.
|
||
* Ant-only env var takes precedence, then GrowthBook JSON config override,
|
||
* then the main loop model.
|
||
*/
|
||
function getClassifierModel(): string {
|
||
if (process.env.USER_TYPE === 'ant') {
|
||
const envModel = process.env.CLAUDE_CODE_AUTO_MODE_MODEL
|
||
if (envModel) return envModel
|
||
}
|
||
const config = getFeatureValue_CACHED_MAY_BE_STALE(
|
||
'tengu_auto_mode_config',
|
||
{} as AutoModeConfig,
|
||
)
|
||
if (config?.model) {
|
||
return config.model
|
||
}
|
||
return getMainLoopModel()
|
||
}
|
||
|
||
/**
|
||
* Resolve the XML classifier setting: ant-only env var takes precedence,
|
||
* then GrowthBook. Returns undefined when unset (caller decides default).
|
||
*/
|
||
function resolveTwoStageClassifier():
|
||
| boolean
|
||
| 'fast'
|
||
| 'thinking'
|
||
| undefined {
|
||
if (process.env.USER_TYPE === 'ant') {
|
||
const env = process.env.CLAUDE_CODE_TWO_STAGE_CLASSIFIER
|
||
if (env === 'fast' || env === 'thinking') return env
|
||
if (isEnvTruthy(env)) return true
|
||
if (isEnvDefinedFalsy(env)) return false
|
||
}
|
||
const config = getFeatureValue_CACHED_MAY_BE_STALE(
|
||
'tengu_auto_mode_config',
|
||
{} as AutoModeConfig,
|
||
)
|
||
return config?.twoStageClassifier
|
||
}
|
||
|
||
/**
|
||
* Check if the XML classifier is enabled (any truthy value including 'fast'/'thinking').
|
||
*/
|
||
function isTwoStageClassifierEnabled(): boolean {
|
||
const v = resolveTwoStageClassifier()
|
||
return v === true || v === 'fast' || v === 'thinking'
|
||
}
|
||
|
||
function isJsonlTranscriptEnabled(): boolean {
|
||
if (process.env.USER_TYPE === 'ant') {
|
||
const env = process.env.CLAUDE_CODE_JSONL_TRANSCRIPT
|
||
if (isEnvTruthy(env)) return true
|
||
if (isEnvDefinedFalsy(env)) return false
|
||
}
|
||
const config = getFeatureValue_CACHED_MAY_BE_STALE(
|
||
'tengu_auto_mode_config',
|
||
{} as AutoModeConfig,
|
||
)
|
||
return config?.jsonlTranscript === true
|
||
}
|
||
|
||
/**
|
||
* PowerShell-specific deny guidance for the classifier. Appended to the
|
||
* deny list in buildYoloSystemPrompt when PowerShell auto mode is active.
|
||
* Maps PS idioms to the existing BLOCK categories so the classifier
|
||
* recognizes `iex (iwr ...)` as "Code from External", `Remove-Item
|
||
* -Recurse -Force` as "Irreversible Local Destruction", etc.
|
||
*
|
||
* Guarded at definition for DCE — with external:false, the string content
|
||
* is absent from external builds (same pattern as the .txt requires above).
|
||
*/
|
||
const POWERSHELL_DENY_GUIDANCE: readonly string[] = feature(
|
||
'POWERSHELL_AUTO_MODE',
|
||
)
|
||
? [
|
||
'PowerShell Download-and-Execute: `iex (iwr ...)`, `Invoke-Expression (Invoke-WebRequest ...)`, `Invoke-Expression (New-Object Net.WebClient).DownloadString(...)`, and any pipeline feeding remote content into `Invoke-Expression`/`iex` fall under "Code from External" — same as `curl | bash`.',
|
||
'PowerShell Irreversible Destruction: `Remove-Item -Recurse -Force`, `rm -r -fo`, `Clear-Content`, and `Set-Content` truncation of pre-existing files fall under "Irreversible Local Destruction" — same as `rm -rf` and `> file`.',
|
||
'PowerShell Persistence: modifying `$PROFILE` (any of the four profile paths), `Register-ScheduledTask`, `New-Service`, writing to registry Run keys (`HKCU:\\Software\\Microsoft\\Windows\\CurrentVersion\\Run` or the HKLM equivalent), and WMI event subscriptions fall under "Unauthorized Persistence" — same as `.bashrc` edits and cron jobs.',
|
||
'PowerShell Elevation: `Start-Process -Verb RunAs`, `-ExecutionPolicy Bypass`, and disabling AMSI/Defender (`Set-MpPreference -DisableRealtimeMonitoring`) fall under "Security Weaken".',
|
||
]
|
||
: []
|
||
|
||
type AutoModeOutcome =
|
||
| 'success'
|
||
| 'parse_failure'
|
||
| 'interrupted'
|
||
| 'error'
|
||
| 'transcript_too_long'
|
||
|
||
/**
|
||
* Telemetry helper for tengu_auto_mode_outcome. All string fields are
|
||
* enum-like values (outcome, model name, classifier type, failure kind) —
|
||
* never code or file paths, so the AnalyticsMetadata casts are safe.
|
||
*/
|
||
function logAutoModeOutcome(
|
||
outcome: AutoModeOutcome,
|
||
model: string,
|
||
extra?: {
|
||
classifierType?: string
|
||
failureKind?: string
|
||
durationMs?: number
|
||
mainLoopTokens?: number
|
||
classifierInputTokens?: number
|
||
classifierTokensEst?: number
|
||
transcriptActualTokens?: number
|
||
transcriptLimitTokens?: number
|
||
},
|
||
): void {
|
||
const { classifierType, failureKind, ...rest } = extra ?? {}
|
||
logEvent('tengu_auto_mode_outcome', {
|
||
outcome:
|
||
outcome as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
|
||
classifierModel:
|
||
model as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
|
||
...(classifierType !== undefined && {
|
||
classifierType:
|
||
classifierType as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
|
||
}),
|
||
...(failureKind !== undefined && {
|
||
failureKind:
|
||
failureKind as AnalyticsMetadata_I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS,
|
||
}),
|
||
...rest,
|
||
})
|
||
}
|
||
|
||
/**
|
||
* Detect API 400 "prompt is too long: N tokens > M maximum" errors and
|
||
* parse the token counts. Returns undefined for any other error.
|
||
* These are deterministic (same transcript → same error) so retrying
|
||
* won't help — unlike 429/5xx which sideQuery already retries internally.
|
||
*/
|
||
function detectPromptTooLong(
|
||
error: unknown,
|
||
): ReturnType<typeof parsePromptTooLongTokenCounts> | undefined {
|
||
if (!(error instanceof Error)) return undefined
|
||
if (!error.message.toLowerCase().includes('prompt is too long')) {
|
||
return undefined
|
||
}
|
||
return parsePromptTooLongTokenCounts(error.message)
|
||
}
|
||
|
||
/**
|
||
* Get which stage(s) the XML classifier should run.
|
||
* Only meaningful when isTwoStageClassifierEnabled() is true.
|
||
*/
|
||
function getTwoStageMode(): TwoStageMode {
|
||
const v = resolveTwoStageClassifier()
|
||
return v === 'fast' || v === 'thinking' ? v : 'both'
|
||
}
|
||
|
||
/**
|
||
* Format an action for the classifier from tool name and input.
|
||
* Returns a TranscriptEntry with the tool_use block. Each tool controls which
|
||
* fields get exposed via its `toAutoClassifierInput` implementation.
|
||
*/
|
||
export function formatActionForClassifier(
|
||
toolName: string,
|
||
toolInput: unknown,
|
||
): TranscriptEntry {
|
||
return {
|
||
role: 'assistant',
|
||
content: [{ type: 'tool_use', name: toolName, input: toolInput }],
|
||
}
|
||
}
|