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Disable analytics, GrowthBook, and telemetry egress

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This commit is contained in:
YoVinchen
2026-04-03 23:17:26 +08:00
parent 9e7338d54c
commit 497f81f4f9
8 changed files with 124 additions and 1800 deletions
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7
README.md
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@@ -45,10 +45,11 @@ Removed in this repository:
- Remote Control / Bridge registration fields that sent machine name, git branch, and git repository URL, plus git source/outcome data in bridge session creation.
- Trusted-device enrollment and trusted-device token header emission for bridge requests.
- `/insights` automatic S3 upload; reports now stay local via `file://` paths only.
- Datadog analytics and Anthropic 1P event-logging egress.
- GrowthBook remote evaluation/network fetches; local env/config overrides and cached values remain available for compatibility.
- OpenTelemetry initialization and event export paths.
Still present:
- Normal Claude API requests are still part of product functionality; this fork only removes extra local metadata injection, not core model/network access.
- Datadog and Anthropic 1P analytics codepaths still exist and can emit environment/process metadata unless disabled by runtime privacy settings.
- GrowthBook remote evaluation still exists and still prepares remote-eval user attributes.
- Optional OpenTelemetry export still exists behind telemetry configuration flags.
- Compatibility scaffolding for analytics, GrowthBook, and telemetry still exists in the tree as local no-op or cache-only code.

108
src/entrypoints/init.ts
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@@ -87,22 +87,8 @@ export const init = memoize(async (): Promise<void> => {
setupGracefulShutdown()
profileCheckpoint('init_after_graceful_shutdown')
// Initialize 1P event logging (no security concerns, but deferred to avoid
// loading OpenTelemetry sdk-logs at startup). growthbook.js is already in
// the module cache by this point (firstPartyEventLogger imports it), so the
// second dynamic import adds no load cost.
void Promise.all([
import('../services/analytics/firstPartyEventLogger.js'),
import('../services/analytics/growthbook.js'),
]).then(([fp, gb]) => {
fp.initialize1PEventLogging()
// Rebuild the logger provider if tengu_1p_event_batch_config changes
// mid-session. Change detection (isEqual) is inside the handler so
// unchanged refreshes are no-ops.
gb.onGrowthBookRefresh(() => {
void fp.reinitialize1PEventLoggingIfConfigChanged()
})
})
// Telemetry/log export is disabled in this build. Keep the startup
// checkpoint so callers depending on the init timeline still see it.
profileCheckpoint('init_after_1p_event_logging')
// Populate OAuth account info if it is not already cached in config. This is needed since the
@@ -245,96 +231,14 @@ export const init = memoize(async (): Promise<void> => {
* This should only be called once, after the trust dialog has been accepted.
*/
export function initializeTelemetryAfterTrust(): void {
if (isEligibleForRemoteManagedSettings()) {
// For SDK/headless mode with beta tracing, initialize eagerly first
// to ensure the tracer is ready before the first query runs.
// The async path below will still run but doInitializeTelemetry() guards against double init.
if (getIsNonInteractiveSession() && isBetaTracingEnabled()) {
void doInitializeTelemetry().catch(error => {
logForDebugging(
`[3P telemetry] Eager telemetry init failed (beta tracing): ${errorMessage(error)}`,
{ level: 'error' },
)
})
}
logForDebugging(
'[3P telemetry] Waiting for remote managed settings before telemetry init',
)
void waitForRemoteManagedSettingsToLoad()
.then(async () => {
logForDebugging(
'[3P telemetry] Remote managed settings loaded, initializing telemetry',
)
// Re-apply env vars to pick up remote settings before initializing telemetry.
applyConfigEnvironmentVariables()
await doInitializeTelemetry()
})
.catch(error => {
logForDebugging(
`[3P telemetry] Telemetry init failed (remote settings path): ${errorMessage(error)}`,
{ level: 'error' },
)
})
} else {
void doInitializeTelemetry().catch(error => {
logForDebugging(
`[3P telemetry] Telemetry init failed: ${errorMessage(error)}`,
{ level: 'error' },
)
})
}
return
}
async function doInitializeTelemetry(): Promise<void> {
if (telemetryInitialized) {
// Already initialized, nothing to do
return
}
// Set flag before init to prevent double initialization
telemetryInitialized = true
try {
await setMeterState()
} catch (error) {
// Reset flag on failure so subsequent calls can retry
telemetryInitialized = false
throw error
}
void telemetryInitialized
return
}
async function setMeterState(): Promise<void> {
// Lazy-load instrumentation to defer ~400KB of OpenTelemetry + protobuf
const { initializeTelemetry } = await import(
'../utils/telemetry/instrumentation.js'
)
// Initialize customer OTLP telemetry (metrics, logs, traces)
const meter = await initializeTelemetry()
if (meter) {
// Create factory function for attributed counters
const createAttributedCounter = (
name: string,
options: MetricOptions,
): AttributedCounter => {
const counter = meter?.createCounter(name, options)
return {
add(value: number, additionalAttributes: Attributes = {}) {
// Always fetch fresh telemetry attributes to ensure they're up to date
const currentAttributes = getTelemetryAttributes()
const mergedAttributes = {
...currentAttributes,
...additionalAttributes,
}
counter?.add(value, mergedAttributes)
},
}
}
setMeter(meter, createAttributedCounter)
// Increment session counter here because the startup telemetry path
// runs before this async initialization completes, so the counter
// would be null there.
getSessionCounter()?.add(1)
}
return
}

311
src/services/analytics/datadog.ts
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@@ -1,307 +1,20 @@
import axios from 'axios'
import { createHash } from 'crypto'
import memoize from 'lodash-es/memoize.js'
import { getOrCreateUserID } from '../../utils/config.js'
import { logError } from '../../utils/log.js'
import { getCanonicalName } from '../../utils/model/model.js'
import { getAPIProvider } from '../../utils/model/providers.js'
import { MODEL_COSTS } from '../../utils/modelCost.js'
import { isAnalyticsDisabled } from './config.js'
import { getEventMetadata } from './metadata.js'
const DATADOG_LOGS_ENDPOINT =
'https://http-intake.logs.us5.datadoghq.com/api/v2/logs'
const DATADOG_CLIENT_TOKEN = 'pubbbf48e6d78dae54bceaa4acf463299bf'
const DEFAULT_FLUSH_INTERVAL_MS = 15000
const MAX_BATCH_SIZE = 100
const NETWORK_TIMEOUT_MS = 5000
const DATADOG_ALLOWED_EVENTS = new Set([
'chrome_bridge_connection_succeeded',
'chrome_bridge_connection_failed',
'chrome_bridge_disconnected',
'chrome_bridge_tool_call_completed',
'chrome_bridge_tool_call_error',
'chrome_bridge_tool_call_started',
'chrome_bridge_tool_call_timeout',
'tengu_api_error',
'tengu_api_success',
'tengu_brief_mode_enabled',
'tengu_brief_mode_toggled',
'tengu_brief_send',
'tengu_cancel',
'tengu_compact_failed',
'tengu_exit',
'tengu_flicker',
'tengu_init',
'tengu_model_fallback_triggered',
'tengu_oauth_error',
'tengu_oauth_success',
'tengu_oauth_token_refresh_failure',
'tengu_oauth_token_refresh_success',
'tengu_oauth_token_refresh_lock_acquiring',
'tengu_oauth_token_refresh_lock_acquired',
'tengu_oauth_token_refresh_starting',
'tengu_oauth_token_refresh_completed',
'tengu_oauth_token_refresh_lock_releasing',
'tengu_oauth_token_refresh_lock_released',
'tengu_query_error',
'tengu_session_file_read',
'tengu_started',
'tengu_tool_use_error',
'tengu_tool_use_granted_in_prompt_permanent',
'tengu_tool_use_granted_in_prompt_temporary',
'tengu_tool_use_rejected_in_prompt',
'tengu_tool_use_success',
'tengu_uncaught_exception',
'tengu_unhandled_rejection',
'tengu_voice_recording_started',
'tengu_voice_toggled',
'tengu_team_mem_sync_pull',
'tengu_team_mem_sync_push',
'tengu_team_mem_sync_started',
'tengu_team_mem_entries_capped',
])
const TAG_FIELDS = [
'arch',
'clientType',
'errorType',
'http_status_range',
'http_status',
'kairosActive',
'model',
'platform',
'provider',
'skillMode',
'subscriptionType',
'toolName',
'userBucket',
'userType',
'version',
'versionBase',
]
function camelToSnakeCase(str: string): string {
return str.replace(/[A-Z]/g, letter => `_${letter.toLowerCase()}`)
}
type DatadogLog = {
ddsource: string
ddtags: string
message: string
service: string
hostname: string
[key: string]: unknown
}
let logBatch: DatadogLog[] = []
let flushTimer: NodeJS.Timeout | null = null
let datadogInitialized: boolean | null = null
async function flushLogs(): Promise<void> {
if (logBatch.length === 0) return
const logsToSend = logBatch
logBatch = []
try {
await axios.post(DATADOG_LOGS_ENDPOINT, logsToSend, {
headers: {
'Content-Type': 'application/json',
'DD-API-KEY': DATADOG_CLIENT_TOKEN,
},
timeout: NETWORK_TIMEOUT_MS,
})
} catch (error) {
logError(error)
}
}
function scheduleFlush(): void {
if (flushTimer) return
flushTimer = setTimeout(() => {
flushTimer = null
void flushLogs()
}, getFlushIntervalMs()).unref()
}
export const initializeDatadog = memoize(async (): Promise<boolean> => {
if (isAnalyticsDisabled()) {
datadogInitialized = false
return false
}
try {
datadogInitialized = true
return true
} catch (error) {
logError(error)
datadogInitialized = false
return false
}
})
/**
* Flush remaining Datadog logs and shut down.
* Called from gracefulShutdown() before process.exit() since
* forceExit() prevents the beforeExit handler from firing.
* Datadog analytics egress is disabled in this build.
*
* The exported functions remain so existing call sites do not need to branch.
*/
export async function initializeDatadog(): Promise<boolean> {
return false
}
export async function shutdownDatadog(): Promise<void> {
if (flushTimer) {
clearTimeout(flushTimer)
flushTimer = null
}
await flushLogs()
return
}
// NOTE: use via src/services/analytics/index.ts > logEvent
export async function trackDatadogEvent(
eventName: string,
properties: { [key: string]: boolean | number | undefined },
_eventName: string,
_properties: { [key: string]: boolean | number | undefined },
): Promise<void> {
if (process.env.NODE_ENV !== 'production') {
return
}
// Don't send events for 3P providers (Bedrock, Vertex, Foundry)
if (getAPIProvider() !== 'firstParty') {
return
}
// Fast path: use cached result if available to avoid await overhead
let initialized = datadogInitialized
if (initialized === null) {
initialized = await initializeDatadog()
}
if (!initialized || !DATADOG_ALLOWED_EVENTS.has(eventName)) {
return
}
try {
const metadata = await getEventMetadata({
model: properties.model,
betas: properties.betas,
})
// Destructure to avoid duplicate envContext (once nested, once flattened)
const { envContext, ...restMetadata } = metadata
const allData: Record<string, unknown> = {
...restMetadata,
...envContext,
...properties,
userBucket: getUserBucket(),
}
// Normalize MCP tool names to "mcp" for cardinality reduction
if (
typeof allData.toolName === 'string' &&
allData.toolName.startsWith('mcp__')
) {
allData.toolName = 'mcp'
}
// Normalize model names for cardinality reduction (external users only)
if (process.env.USER_TYPE !== 'ant' && typeof allData.model === 'string') {
const shortName = getCanonicalName(allData.model.replace(/\[1m]$/i, ''))
allData.model = shortName in MODEL_COSTS ? shortName : 'other'
}
// Truncate dev version to base + date (remove timestamp and sha for cardinality reduction)
// e.g. "2.0.53-dev.20251124.t173302.sha526cc6a" -> "2.0.53-dev.20251124"
if (typeof allData.version === 'string') {
allData.version = allData.version.replace(
/^(\d+\.\d+\.\d+-dev\.\d{8})\.t\d+\.sha[a-f0-9]+$/,
'$1',
)
}
// Transform status to http_status and http_status_range to avoid Datadog reserved field
if (allData.status !== undefined && allData.status !== null) {
const statusCode = String(allData.status)
allData.http_status = statusCode
// Determine status range (1xx, 2xx, 3xx, 4xx, 5xx)
const firstDigit = statusCode.charAt(0)
if (firstDigit >= '1' && firstDigit <= '5') {
allData.http_status_range = `${firstDigit}xx`
}
// Remove original status field to avoid conflict with Datadog's reserved field
delete allData.status
}
// Build ddtags with high-cardinality fields for filtering.
// event:<name> is prepended so the event name is searchable via the
// log search API — the `message` field (where eventName also lives)
// is a DD reserved field and is NOT queryable from dashboard widget
// queries or the aggregation API. See scripts/release/MONITORING.md.
const allDataRecord = allData
const tags = [
`event:${eventName}`,
...TAG_FIELDS.filter(
field =>
allDataRecord[field] !== undefined && allDataRecord[field] !== null,
).map(field => `${camelToSnakeCase(field)}:${allDataRecord[field]}`),
]
const log: DatadogLog = {
ddsource: 'nodejs',
ddtags: tags.join(','),
message: eventName,
service: 'claude-code',
hostname: 'claude-code',
env: process.env.USER_TYPE,
}
// Add all fields as searchable attributes (not duplicated in tags)
for (const [key, value] of Object.entries(allData)) {
if (value !== undefined && value !== null) {
log[camelToSnakeCase(key)] = value
}
}
logBatch.push(log)
// Flush immediately if batch is full, otherwise schedule
if (logBatch.length >= MAX_BATCH_SIZE) {
if (flushTimer) {
clearTimeout(flushTimer)
flushTimer = null
}
void flushLogs()
} else {
scheduleFlush()
}
} catch (error) {
logError(error)
}
}
const NUM_USER_BUCKETS = 30
/**
* Gets a 'bucket' that the user ID falls into.
*
* For alerting purposes, we want to alert on the number of users impacted
* by an issue, rather than the number of events- often a small number of users
* can generate a large number of events (e.g. due to retries). To approximate
* this without ruining cardinality by counting user IDs directly, we hash the user ID
* and assign it to one of a fixed number of buckets.
*
* This allows us to estimate the number of unique users by counting unique buckets,
* while preserving user privacy and reducing cardinality.
*/
const getUserBucket = memoize((): number => {
const userId = getOrCreateUserID()
const hash = createHash('sha256').update(userId).digest('hex')
return parseInt(hash.slice(0, 8), 16) % NUM_USER_BUCKETS
})
function getFlushIntervalMs(): number {
// Allow tests to override to not block on the default flush interval.
return (
parseInt(process.env.CLAUDE_CODE_DATADOG_FLUSH_INTERVAL_MS || '', 10) ||
DEFAULT_FLUSH_INTERVAL_MS
)
return
}

429
src/services/analytics/firstPartyEventLogger.ts
View File

@@ -1,237 +1,41 @@
import type { AnyValueMap, Logger, logs } from '@opentelemetry/api-logs'
import { resourceFromAttributes } from '@opentelemetry/resources'
import {
BatchLogRecordProcessor,
LoggerProvider,
} from '@opentelemetry/sdk-logs'
import {
ATTR_SERVICE_NAME,
ATTR_SERVICE_VERSION,
} from '@opentelemetry/semantic-conventions'
import { randomUUID } from 'crypto'
import { isEqual } from 'lodash-es'
import { getOrCreateUserID } from '../../utils/config.js'
import { logForDebugging } from '../../utils/debug.js'
import { logError } from '../../utils/log.js'
import { getPlatform, getWslVersion } from '../../utils/platform.js'
import { jsonStringify } from '../../utils/slowOperations.js'
import { profileCheckpoint } from '../../utils/startupProfiler.js'
import { getCoreUserData } from '../../utils/user.js'
import { isAnalyticsDisabled } from './config.js'
import { FirstPartyEventLoggingExporter } from './firstPartyEventLoggingExporter.js'
import type { GrowthBookUserAttributes } from './growthbook.js'
import { getDynamicConfig_CACHED_MAY_BE_STALE } from './growthbook.js'
import { getEventMetadata } from './metadata.js'
import { isSinkKilled } from './sinkKillswitch.js'
/**
* Configuration for sampling individual event types.
* Each event name maps to an object containing sample_rate (0-1).
* Events not in the config are logged at 100% rate.
* Anthropic 1P event logging egress is disabled in this build.
*
* The module keeps its public API so the rest of the app can call into it
* without conditional imports.
*/
import type { GrowthBookUserAttributes } from './growthbook.js'
export type EventSamplingConfig = {
[eventName: string]: {
sample_rate: number
}
}
const EVENT_SAMPLING_CONFIG_NAME = 'tengu_event_sampling_config'
/**
* Get the event sampling configuration from GrowthBook.
* Uses cached value if available, updates cache in background.
*/
export function getEventSamplingConfig(): EventSamplingConfig {
return getDynamicConfig_CACHED_MAY_BE_STALE<EventSamplingConfig>(
EVENT_SAMPLING_CONFIG_NAME,
{},
)
return {}
}
/**
* Determine if an event should be sampled based on its sample rate.
* Returns the sample rate if sampled, null if not sampled.
*
* @param eventName - Name of the event to check
* @returns The sample_rate if event should be logged, null if it should be dropped
*/
export function shouldSampleEvent(eventName: string): number | null {
const config = getEventSamplingConfig()
const eventConfig = config[eventName]
// If no config for this event, log at 100% rate (no sampling)
if (!eventConfig) {
return null
}
const sampleRate = eventConfig.sample_rate
// Validate sample rate is in valid range
if (typeof sampleRate !== 'number' || sampleRate < 0 || sampleRate > 1) {
return null
}
// Sample rate of 1 means log everything (no need to add metadata)
if (sampleRate >= 1) {
return null
}
// Sample rate of 0 means drop everything
if (sampleRate <= 0) {
return 0
}
// Randomly decide whether to sample this event
return Math.random() < sampleRate ? sampleRate : 0
export function shouldSampleEvent(_eventName: string): number | null {
return null
}
const BATCH_CONFIG_NAME = 'tengu_1p_event_batch_config'
type BatchConfig = {
scheduledDelayMillis?: number
maxExportBatchSize?: number
maxQueueSize?: number
skipAuth?: boolean
maxAttempts?: number
path?: string
baseUrl?: string
}
function getBatchConfig(): BatchConfig {
return getDynamicConfig_CACHED_MAY_BE_STALE<BatchConfig>(
BATCH_CONFIG_NAME,
{},
)
}
// Module-local state for event logging (not exposed globally)
let firstPartyEventLogger: ReturnType<typeof logs.getLogger> | null = null
let firstPartyEventLoggerProvider: LoggerProvider | null = null
// Last batch config used to construct the provider — used by
// reinitialize1PEventLoggingIfConfigChanged to decide whether a rebuild is
// needed when GrowthBook refreshes.
let lastBatchConfig: BatchConfig | null = null
/**
* Flush and shutdown the 1P event logger.
* This should be called as the final step before process exit to ensure
* all events (including late ones from API responses) are exported.
*/
export async function shutdown1PEventLogging(): Promise<void> {
if (!firstPartyEventLoggerProvider) {
return
}
try {
await firstPartyEventLoggerProvider.shutdown()
if (process.env.USER_TYPE === 'ant') {
logForDebugging('1P event logging: final shutdown complete')
}
} catch {
// Ignore shutdown errors
}
return
}
/**
* Check if 1P event logging is enabled.
* Respects the same opt-outs as other analytics sinks:
* - Test environment
* - Third-party cloud providers (Bedrock/Vertex)
* - Global telemetry opt-outs
* - Non-essential traffic disabled
*
* Note: Unlike BigQuery metrics, event logging does NOT check organization-level
* metrics opt-out via API. It follows the same pattern as Statsig event logging.
*/
export function is1PEventLoggingEnabled(): boolean {
// Respect standard analytics opt-outs
return !isAnalyticsDisabled()
return false
}
/**
* Log a 1st-party event for internal analytics (async version).
* Events are batched and exported to /api/event_logging/batch
*
* This enriches the event with core metadata (model, session, env context, etc.)
* at log time, similar to logEventToStatsig.
*
* @param eventName - Name of the event (e.g., 'tengu_api_query')
* @param metadata - Additional metadata for the event (intentionally no strings, to avoid accidentally logging code/filepaths)
*/
async function logEventTo1PAsync(
firstPartyEventLogger: Logger,
eventName: string,
metadata: Record<string, number | boolean | undefined> = {},
): Promise<void> {
try {
// Enrich with core metadata at log time (similar to Statsig pattern)
const coreMetadata = await getEventMetadata({
model: metadata.model,
betas: metadata.betas,
})
// Build attributes - OTel supports nested objects natively via AnyValueMap
// Cast through unknown since our nested objects are structurally compatible
// with AnyValue but TS doesn't recognize it due to missing index signatures
const attributes = {
event_name: eventName,
event_id: randomUUID(),
// Pass objects directly - no JSON serialization needed
core_metadata: coreMetadata,
user_metadata: getCoreUserData(true),
event_metadata: metadata,
} as unknown as AnyValueMap
// Add user_id if available
const userId = getOrCreateUserID()
if (userId) {
attributes.user_id = userId
}
// Debug logging when debug mode is enabled
if (process.env.USER_TYPE === 'ant') {
logForDebugging(
`[ANT-ONLY] 1P event: ${eventName} ${jsonStringify(metadata, null, 0)}`,
)
}
// Emit log record
firstPartyEventLogger.emit({
body: eventName,
attributes,
})
} catch (e) {
if (process.env.NODE_ENV === 'development') {
throw e
}
if (process.env.USER_TYPE === 'ant') {
logError(e as Error)
}
// swallow
}
}
/**
* Log a 1st-party event for internal analytics.
* Events are batched and exported to /api/event_logging/batch
*
* @param eventName - Name of the event (e.g., 'tengu_api_query')
* @param metadata - Additional metadata for the event (intentionally no strings, to avoid accidentally logging code/filepaths)
*/
export function logEventTo1P(
eventName: string,
metadata: Record<string, number | boolean | undefined> = {},
_eventName: string,
_metadata: Record<string, number | boolean | undefined> = {},
): void {
if (!is1PEventLoggingEnabled()) {
return
}
if (!firstPartyEventLogger || isSinkKilled('firstParty')) {
return
}
// Fire and forget - don't block on metadata enrichment
void logEventTo1PAsync(firstPartyEventLogger, eventName, metadata)
return
}
/**
* GrowthBook experiment event data for logging
*/
export type GrowthBookExperimentData = {
experimentId: string
variationId: number
@@ -239,211 +43,16 @@ export type GrowthBookExperimentData = {
experimentMetadata?: Record<string, unknown>
}
// api.anthropic.com only serves the "production" GrowthBook environment
// (see starling/starling/cli/cli.py DEFAULT_ENVIRONMENTS). Staging and
// development environments are not exported to the prod API.
function getEnvironmentForGrowthBook(): string {
return 'production'
}
/**
* Log a GrowthBook experiment assignment event to 1P.
* Events are batched and exported to /api/event_logging/batch
*
* @param data - GrowthBook experiment assignment data
*/
export function logGrowthBookExperimentTo1P(
data: GrowthBookExperimentData,
_data: GrowthBookExperimentData,
): void {
if (!is1PEventLoggingEnabled()) {
return
}
if (!firstPartyEventLogger || isSinkKilled('firstParty')) {
return
}
const userId = getOrCreateUserID()
const { accountUuid, organizationUuid } = getCoreUserData(true)
// Build attributes for GrowthbookExperimentEvent
const attributes = {
event_type: 'GrowthbookExperimentEvent',
event_id: randomUUID(),
experiment_id: data.experimentId,
variation_id: data.variationId,
...(userId && { device_id: userId }),
...(accountUuid && { account_uuid: accountUuid }),
...(organizationUuid && { organization_uuid: organizationUuid }),
...(data.userAttributes && {
session_id: data.userAttributes.sessionId,
user_attributes: jsonStringify(data.userAttributes),
}),
...(data.experimentMetadata && {
experiment_metadata: jsonStringify(data.experimentMetadata),
}),
environment: getEnvironmentForGrowthBook(),
}
if (process.env.USER_TYPE === 'ant') {
logForDebugging(
`[ANT-ONLY] 1P GrowthBook experiment: ${data.experimentId} variation=${data.variationId}`,
)
}
firstPartyEventLogger.emit({
body: 'growthbook_experiment',
attributes,
})
return
}
const DEFAULT_LOGS_EXPORT_INTERVAL_MS = 10000
const DEFAULT_MAX_EXPORT_BATCH_SIZE = 200
const DEFAULT_MAX_QUEUE_SIZE = 8192
/**
* Initialize 1P event logging infrastructure.
* This creates a separate LoggerProvider for internal event logging,
* independent of customer OTLP telemetry.
*
* This uses its own minimal resource configuration with just the attributes
* we need for internal analytics (service name, version, platform info).
*/
export function initialize1PEventLogging(): void {
profileCheckpoint('1p_event_logging_start')
const enabled = is1PEventLoggingEnabled()
if (!enabled) {
if (process.env.USER_TYPE === 'ant') {
logForDebugging('1P event logging not enabled')
}
return
}
// Fetch batch processor configuration from GrowthBook dynamic config
// Uses cached value if available, refreshes in background
const batchConfig = getBatchConfig()
lastBatchConfig = batchConfig
profileCheckpoint('1p_event_after_growthbook_config')
const scheduledDelayMillis =
batchConfig.scheduledDelayMillis ||
parseInt(
process.env.OTEL_LOGS_EXPORT_INTERVAL ||
DEFAULT_LOGS_EXPORT_INTERVAL_MS.toString(),
)
const maxExportBatchSize =
batchConfig.maxExportBatchSize || DEFAULT_MAX_EXPORT_BATCH_SIZE
const maxQueueSize = batchConfig.maxQueueSize || DEFAULT_MAX_QUEUE_SIZE
// Build our own resource for 1P event logging with minimal attributes
const platform = getPlatform()
const attributes: Record<string, string> = {
[ATTR_SERVICE_NAME]: 'claude-code',
[ATTR_SERVICE_VERSION]: MACRO.VERSION,
}
// Add WSL-specific attributes if running on WSL
if (platform === 'wsl') {
const wslVersion = getWslVersion()
if (wslVersion) {
attributes['wsl.version'] = wslVersion
}
}
const resource = resourceFromAttributes(attributes)
// Create a new LoggerProvider with the EventLoggingExporter
// NOTE: This is kept separate from customer telemetry logs to ensure
// internal events don't leak to customer endpoints and vice versa.
// We don't register this globally - it's only used for internal event logging.
const eventLoggingExporter = new FirstPartyEventLoggingExporter({
maxBatchSize: maxExportBatchSize,
skipAuth: batchConfig.skipAuth,
maxAttempts: batchConfig.maxAttempts,
path: batchConfig.path,
baseUrl: batchConfig.baseUrl,
isKilled: () => isSinkKilled('firstParty'),
})
firstPartyEventLoggerProvider = new LoggerProvider({
resource,
processors: [
new BatchLogRecordProcessor(eventLoggingExporter, {
scheduledDelayMillis,
maxExportBatchSize,
maxQueueSize,
}),
],
})
// Initialize event logger from our internal provider (NOT from global API)
// IMPORTANT: We must get the logger from our local provider, not logs.getLogger()
// because logs.getLogger() returns a logger from the global provider, which is
// separate and used for customer telemetry.
firstPartyEventLogger = firstPartyEventLoggerProvider.getLogger(
'com.anthropic.claude_code.events',
MACRO.VERSION,
)
return
}
/**
* Rebuild the 1P event logging pipeline if the batch config changed.
* Register this with onGrowthBookRefresh so long-running sessions pick up
* changes to batch size, delay, endpoint, etc.
*
* Event-loss safety:
* 1. Null the logger first — concurrent logEventTo1P() calls hit the
* !firstPartyEventLogger guard and bail during the swap window. This drops
* a handful of events but prevents emitting to a draining provider.
* 2. forceFlush() drains the old BatchLogRecordProcessor buffer to the
* exporter. Export failures go to disk at getCurrentBatchFilePath() which
* is keyed by module-level BATCH_UUID + sessionId — unchanged across
* reinit — so the NEW exporter's disk-backed retry picks them up.
* 3. Swap to new provider/logger; old provider shutdown runs in background
* (buffer already drained, just cleanup).
*/
export async function reinitialize1PEventLoggingIfConfigChanged(): Promise<void> {
if (!is1PEventLoggingEnabled() || !firstPartyEventLoggerProvider) {
return
}
const newConfig = getBatchConfig()
if (isEqual(newConfig, lastBatchConfig)) {
return
}
if (process.env.USER_TYPE === 'ant') {
logForDebugging(
`1P event logging: ${BATCH_CONFIG_NAME} changed, reinitializing`,
)
}
const oldProvider = firstPartyEventLoggerProvider
const oldLogger = firstPartyEventLogger
firstPartyEventLogger = null
try {
await oldProvider.forceFlush()
} catch {
// Export failures are already on disk; new exporter will retry them.
}
firstPartyEventLoggerProvider = null
try {
initialize1PEventLogging()
} catch (e) {
// Restore so the next GrowthBook refresh can retry. oldProvider was
// only forceFlush()'d, not shut down — it's still functional. Without
// this, both stay null and the !firstPartyEventLoggerProvider gate at
// the top makes recovery impossible.
firstPartyEventLoggerProvider = oldProvider
firstPartyEventLogger = oldLogger
logError(e)
return
}
void oldProvider.shutdown().catch(() => {})
return
}

76
src/services/analytics/growthbook.ts
View File

@@ -21,7 +21,6 @@ import {
getUserForGrowthBook,
} from '../../utils/user.js'
import {
is1PEventLoggingEnabled,
logGrowthBookExperimentTo1P,
} from './firstPartyEventLogger.js'
@@ -219,6 +218,19 @@ function getConfigOverrides(): Record<string, unknown> | undefined {
}
}
function getCachedGrowthBookFeature<T>(feature: string): T | undefined {
if (remoteEvalFeatureValues.has(feature)) {
return remoteEvalFeatureValues.get(feature) as T
}
try {
const cached = getGlobalConfig().cachedGrowthBookFeatures?.[feature]
return cached !== undefined ? (cached as T) : undefined
} catch {
return undefined
}
}
/**
* Enumerate all known GrowthBook features and their current resolved values
* (not including overrides). In-memory payload first, disk cache fallback —
@@ -420,8 +432,9 @@ function syncRemoteEvalToDisk(): void {
* Check if GrowthBook operations should be enabled
*/
function isGrowthBookEnabled(): boolean {
// GrowthBook depends on 1P event logging.
return is1PEventLoggingEnabled()
// Network-backed GrowthBook egress is disabled in this build. Callers still
// read local cache and explicit overrides through the helpers below.
return false
}
/**
@@ -682,6 +695,11 @@ async function getFeatureValueInternal<T>(
return configOverrides[feature] as T
}
const cached = getCachedGrowthBookFeature<T>(feature)
if (cached !== undefined) {
return cached
}
if (!isGrowthBookEnabled()) {
return defaultValue
}
@@ -745,6 +763,11 @@ export function getFeatureValue_CACHED_MAY_BE_STALE<T>(
return configOverrides[feature] as T
}
const cached = getCachedGrowthBookFeature<T>(feature)
if (cached !== undefined) {
return cached
}
if (!isGrowthBookEnabled()) {
return defaultValue
}
@@ -814,6 +837,16 @@ export function checkStatsigFeatureGate_CACHED_MAY_BE_STALE(
return Boolean(configOverrides[gate])
}
const cached = getCachedGrowthBookFeature<boolean>(gate)
if (cached !== undefined) {
return Boolean(cached)
}
const statsigCached = getGlobalConfig().cachedStatsigGates?.[gate]
if (statsigCached !== undefined) {
return Boolean(statsigCached)
}
if (!isGrowthBookEnabled()) {
return false
}
@@ -861,6 +894,16 @@ export async function checkSecurityRestrictionGate(
return Boolean(configOverrides[gate])
}
const cached = getCachedGrowthBookFeature<boolean>(gate)
if (cached !== undefined) {
return Boolean(cached)
}
const statsigCached = getGlobalConfig().cachedStatsigGates?.[gate]
if (statsigCached !== undefined) {
return Boolean(statsigCached)
}
if (!isGrowthBookEnabled()) {
return false
}
@@ -871,19 +914,6 @@ export async function checkSecurityRestrictionGate(
await reinitializingPromise
}
// Check Statsig cache first - it may have correct value from previous logged-in session
const config = getGlobalConfig()
const statsigCached = config.cachedStatsigGates?.[gate]
if (statsigCached !== undefined) {
return Boolean(statsigCached)
}
// Then check GrowthBook cache
const gbCached = config.cachedGrowthBookFeatures?.[gate]
if (gbCached !== undefined) {
return Boolean(gbCached)
}
// No cache - return false (don't block on init for uncached gates)
return false
}
@@ -914,13 +944,23 @@ export async function checkGate_CACHED_OR_BLOCKING(
return Boolean(configOverrides[gate])
}
const cached = getCachedGrowthBookFeature<boolean>(gate)
if (cached !== undefined) {
return Boolean(cached)
}
const statsigCached = getGlobalConfig().cachedStatsigGates?.[gate]
if (statsigCached !== undefined) {
return Boolean(statsigCached)
}
if (!isGrowthBookEnabled()) {
return false
}
// Fast path: disk cache already says true — trust it
const cached = getGlobalConfig().cachedGrowthBookFeatures?.[gate]
if (cached === true) {
const diskCached = getGlobalConfig().cachedGrowthBookFeatures?.[gate]
if (diskCached === true) {
// Log experiment exposure if data is available, otherwise defer
if (experimentDataByFeature.has(gate)) {
logExposureForFeature(gate)

101
src/services/analytics/sink.ts
View File

@@ -1,111 +1,32 @@
/**
* Analytics sink implementation
*
* This module contains the actual analytics routing logic and should be
* initialized during app startup. It routes events to Datadog and 1P event
* logging.
*
* Usage: Call initializeAnalyticsSink() during app startup to attach the sink.
* This open build keeps the analytics sink boundary for compatibility, but
* drops all queued analytics events locally instead of routing them onward.
*/
import { trackDatadogEvent } from './datadog.js'
import { logEventTo1P, shouldSampleEvent } from './firstPartyEventLogger.js'
import { checkStatsigFeatureGate_CACHED_MAY_BE_STALE } from './growthbook.js'
import { attachAnalyticsSink, stripProtoFields } from './index.js'
import { isSinkKilled } from './sinkKillswitch.js'
import { attachAnalyticsSink } from './index.js'
// Local type matching the logEvent metadata signature
type LogEventMetadata = { [key: string]: boolean | number | undefined }
const DATADOG_GATE_NAME = 'tengu_log_datadog_events'
// Module-level gate state - starts undefined, initialized during startup
let isDatadogGateEnabled: boolean | undefined = undefined
/**
* Check if Datadog tracking is enabled.
* Falls back to cached value from previous session if not yet initialized.
*/
function shouldTrackDatadog(): boolean {
if (isSinkKilled('datadog')) {
return false
}
if (isDatadogGateEnabled !== undefined) {
return isDatadogGateEnabled
}
// Fallback to cached value from previous session
try {
return checkStatsigFeatureGate_CACHED_MAY_BE_STALE(DATADOG_GATE_NAME)
} catch {
return false
}
function logEventImpl(
_eventName: string,
_metadata: LogEventMetadata,
): void {
return
}
/**
* Log an event (synchronous implementation)
*/
function logEventImpl(eventName: string, metadata: LogEventMetadata): void {
// Check if this event should be sampled
const sampleResult = shouldSampleEvent(eventName)
// If sample result is 0, the event was not selected for logging
if (sampleResult === 0) {
return
}
// If sample result is a positive number, add it to metadata
const metadataWithSampleRate =
sampleResult !== null
? { ...metadata, sample_rate: sampleResult }
: metadata
if (shouldTrackDatadog()) {
// Datadog is a general-access backend — strip _PROTO_* keys
// (unredacted PII-tagged values meant only for the 1P privileged column).
void trackDatadogEvent(eventName, stripProtoFields(metadataWithSampleRate))
}
// 1P receives the full payload including _PROTO_* — the exporter
// destructures and routes those keys to proto fields itself.
logEventTo1P(eventName, metadataWithSampleRate)
}
/**
* Log an event (asynchronous implementation)
*
* With Segment removed the two remaining sinks are fire-and-forget, so this
* just wraps the sync impl — kept to preserve the sink interface contract.
*/
function logEventAsyncImpl(
eventName: string,
metadata: LogEventMetadata,
_eventName: string,
_metadata: LogEventMetadata,
): Promise<void> {
logEventImpl(eventName, metadata)
return Promise.resolve()
}
/**
* Initialize analytics gates during startup.
*
* Updates gate values from server. Early events use cached values from previous
* session to avoid data loss during initialization.
*
* Called from main.tsx during setupBackend().
*/
export function initializeAnalyticsGates(): void {
isDatadogGateEnabled =
checkStatsigFeatureGate_CACHED_MAY_BE_STALE(DATADOG_GATE_NAME)
return
}
/**
* Initialize the analytics sink.
*
* Call this during app startup to attach the analytics backend.
* Any events logged before this is called will be queued and drained.
*
* Idempotent: safe to call multiple times (subsequent calls are no-ops).
*/
export function initializeAnalyticsSink(): void {
attachAnalyticsSink({
logEvent: logEventImpl,

77
src/utils/telemetry/events.ts
View File

@@ -1,75 +1,14 @@
import type { Attributes } from '@opentelemetry/api'
import { getEventLogger, getPromptId } from 'src/bootstrap/state.js'
import { logForDebugging } from '../debug.js'
import { isEnvTruthy } from '../envUtils.js'
import { getTelemetryAttributes } from '../telemetryAttributes.js'
/**
* OpenTelemetry event egress is disabled in this build.
*/
// Monotonically increasing counter for ordering events within a session
let eventSequence = 0
// Track whether we've already warned about a null event logger to avoid spamming
let hasWarnedNoEventLogger = false
function isUserPromptLoggingEnabled() {
return isEnvTruthy(process.env.OTEL_LOG_USER_PROMPTS)
}
export function redactIfDisabled(content: string): string {
return isUserPromptLoggingEnabled() ? content : '<REDACTED>'
export function redactIfDisabled(_content: string): string {
return '<REDACTED>'
}
export async function logOTelEvent(
eventName: string,
metadata: { [key: string]: string | undefined } = {},
_eventName: string,
_metadata: { [key: string]: string | undefined } = {},
): Promise<void> {
const eventLogger = getEventLogger()
if (!eventLogger) {
if (!hasWarnedNoEventLogger) {
hasWarnedNoEventLogger = true
logForDebugging(
`[3P telemetry] Event dropped (no event logger initialized): ${eventName}`,
{ level: 'warn' },
)
}
return
}
// Skip logging in test environment
if (process.env.NODE_ENV === 'test') {
return
}
const attributes: Attributes = {
...getTelemetryAttributes(),
'event.name': eventName,
'event.timestamp': new Date().toISOString(),
'event.sequence': eventSequence++,
}
// Add prompt ID to events (but not metrics, where it would cause unbounded cardinality)
const promptId = getPromptId()
if (promptId) {
attributes['prompt.id'] = promptId
}
// Workspace directory from the desktop app (host path). Events only —
// filesystem paths are too high-cardinality for metric dimensions, and
// the BQ metrics pipeline must never see them.
const workspaceDir = process.env.CLAUDE_CODE_WORKSPACE_HOST_PATHS
if (workspaceDir) {
attributes['workspace.host_paths'] = workspaceDir.split('|')
}
// Add metadata as attributes - all values are already strings
for (const [key, value] of Object.entries(metadata)) {
if (value !== undefined) {
attributes[key] = value
}
}
// Emit log record as an event
eventLogger.emit({
body: `claude_code.${eventName}`,
attributes,
})
return
}

815
src/utils/telemetry/instrumentation.ts
View File

@@ -1,123 +1,5 @@
import { DiagLogLevel, diag, trace } from '@opentelemetry/api'
import { logs } from '@opentelemetry/api-logs'
// OTLP/Prometheus exporters are dynamically imported inside the protocol
// switch statements below. A process uses at most one protocol variant per
// signal, but static imports would load all 6 (~1.2MB) on every startup.
import {
envDetector,
hostDetector,
osDetector,
resourceFromAttributes,
} from '@opentelemetry/resources'
import {
BatchLogRecordProcessor,
ConsoleLogRecordExporter,
LoggerProvider,
} from '@opentelemetry/sdk-logs'
import {
ConsoleMetricExporter,
MeterProvider,
PeriodicExportingMetricReader,
} from '@opentelemetry/sdk-metrics'
import {
BasicTracerProvider,
BatchSpanProcessor,
ConsoleSpanExporter,
} from '@opentelemetry/sdk-trace-base'
import {
ATTR_SERVICE_NAME,
ATTR_SERVICE_VERSION,
SEMRESATTRS_HOST_ARCH,
} from '@opentelemetry/semantic-conventions'
import { HttpsProxyAgent } from 'https-proxy-agent'
import {
getLoggerProvider,
getMeterProvider,
getTracerProvider,
setEventLogger,
setLoggerProvider,
setMeterProvider,
setTracerProvider,
} from 'src/bootstrap/state.js'
import {
getOtelHeadersFromHelper,
getSubscriptionType,
is1PApiCustomer,
isClaudeAISubscriber,
} from 'src/utils/auth.js'
import { getPlatform, getWslVersion } from 'src/utils/platform.js'
export function bootstrapTelemetry(): void {}
import { getCACertificates } from '../caCerts.js'
import { registerCleanup } from '../cleanupRegistry.js'
import { getHasFormattedOutput, logForDebugging } from '../debug.js'
import { isEnvTruthy } from '../envUtils.js'
import { errorMessage } from '../errors.js'
import { getMTLSConfig } from '../mtls.js'
import { getProxyUrl, shouldBypassProxy } from '../proxy.js'
import { getSettings_DEPRECATED } from '../settings/settings.js'
import { jsonStringify } from '../slowOperations.js'
import { profileCheckpoint } from '../startupProfiler.js'
import { isBetaTracingEnabled } from './betaSessionTracing.js'
import { BigQueryMetricsExporter } from './bigqueryExporter.js'
import { ClaudeCodeDiagLogger } from './logger.js'
import { initializePerfettoTracing } from './perfettoTracing.js'
import {
endInteractionSpan,
isEnhancedTelemetryEnabled,
} from './sessionTracing.js'
const DEFAULT_METRICS_EXPORT_INTERVAL_MS = 60000
const DEFAULT_LOGS_EXPORT_INTERVAL_MS = 5000
const DEFAULT_TRACES_EXPORT_INTERVAL_MS = 5000
class TelemetryTimeoutError extends Error {}
function telemetryTimeout(ms: number, message: string): Promise<never> {
return new Promise((_, reject) => {
setTimeout(
(rej: (e: Error) => void, msg: string) =>
rej(new TelemetryTimeoutError(msg)),
ms,
reject,
message,
).unref()
})
}
export function bootstrapTelemetry() {
if (process.env.USER_TYPE === 'ant') {
// Read from ANT_ prefixed variables that are defined at build time
if (process.env.ANT_OTEL_METRICS_EXPORTER) {
process.env.OTEL_METRICS_EXPORTER = process.env.ANT_OTEL_METRICS_EXPORTER
}
if (process.env.ANT_OTEL_LOGS_EXPORTER) {
process.env.OTEL_LOGS_EXPORTER = process.env.ANT_OTEL_LOGS_EXPORTER
}
if (process.env.ANT_OTEL_TRACES_EXPORTER) {
process.env.OTEL_TRACES_EXPORTER = process.env.ANT_OTEL_TRACES_EXPORTER
}
if (process.env.ANT_OTEL_EXPORTER_OTLP_PROTOCOL) {
process.env.OTEL_EXPORTER_OTLP_PROTOCOL =
process.env.ANT_OTEL_EXPORTER_OTLP_PROTOCOL
}
if (process.env.ANT_OTEL_EXPORTER_OTLP_ENDPOINT) {
process.env.OTEL_EXPORTER_OTLP_ENDPOINT =
process.env.ANT_OTEL_EXPORTER_OTLP_ENDPOINT
}
if (process.env.ANT_OTEL_EXPORTER_OTLP_HEADERS) {
process.env.OTEL_EXPORTER_OTLP_HEADERS =
process.env.ANT_OTEL_EXPORTER_OTLP_HEADERS
}
}
// Set default tempoality to 'delta' because it's the more sane default
if (!process.env.OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE) {
process.env.OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE = 'delta'
}
}
// Per OTEL spec, "none" means "no automatically configured exporter for this signal".
// https://opentelemetry.io/docs/specs/otel/configuration/sdk-environment-variables/#exporter-selection
export function parseExporterTypes(value: string | undefined): string[] {
return (value || '')
.trim()
@@ -127,699 +9,14 @@ export function parseExporterTypes(value: string | undefined): string[] {
.filter(t => t !== 'none')
}
async function getOtlpReaders() {
const exporterTypes = parseExporterTypes(process.env.OTEL_METRICS_EXPORTER)
const exportInterval = parseInt(
process.env.OTEL_METRIC_EXPORT_INTERVAL ||
DEFAULT_METRICS_EXPORT_INTERVAL_MS.toString(),
)
const exporters = []
for (const exporterType of exporterTypes) {
if (exporterType === 'console') {
// Custom console exporter that shows resource attributes
const consoleExporter = new ConsoleMetricExporter()
const originalExport = consoleExporter.export.bind(consoleExporter)
consoleExporter.export = (metrics, callback) => {
// Log resource attributes once at the start
if (metrics.resource && metrics.resource.attributes) {
// The console exporter is for debugging, so console output is intentional here
logForDebugging('\n=== Resource Attributes ===')
logForDebugging(jsonStringify(metrics.resource.attributes))
logForDebugging('===========================\n')
}
return originalExport(metrics, callback)
}
exporters.push(consoleExporter)
} else if (exporterType === 'otlp') {
const protocol =
process.env.OTEL_EXPORTER_OTLP_METRICS_PROTOCOL?.trim() ||
process.env.OTEL_EXPORTER_OTLP_PROTOCOL?.trim()
const httpConfig = getOTLPExporterConfig()
switch (protocol) {
case 'grpc': {
// Lazy-import to keep @grpc/grpc-js (~700KB) out of the telemetry chunk
// when the protocol is http/protobuf (ant default) or http/json.
const { OTLPMetricExporter } = await import(
'@opentelemetry/exporter-metrics-otlp-grpc'
)
exporters.push(new OTLPMetricExporter())
break
}
case 'http/json': {
const { OTLPMetricExporter } = await import(
'@opentelemetry/exporter-metrics-otlp-http'
)
exporters.push(new OTLPMetricExporter(httpConfig))
break
}
case 'http/protobuf': {
const { OTLPMetricExporter } = await import(
'@opentelemetry/exporter-metrics-otlp-proto'
)
exporters.push(new OTLPMetricExporter(httpConfig))
break
}
default:
throw new Error(
`Unknown protocol set in OTEL_EXPORTER_OTLP_METRICS_PROTOCOL or OTEL_EXPORTER_OTLP_PROTOCOL env var: ${protocol}`,
)
}
} else if (exporterType === 'prometheus') {
const { PrometheusExporter } = await import(
'@opentelemetry/exporter-prometheus'
)
exporters.push(new PrometheusExporter())
} else {
throw new Error(
`Unknown exporter type set in OTEL_EXPORTER_OTLP_METRICS_PROTOCOL or OTEL_EXPORTER_OTLP_PROTOCOL env var: ${exporterType}`,
)
}
}
return exporters.map(exporter => {
if ('export' in exporter) {
return new PeriodicExportingMetricReader({
exporter,
exportIntervalMillis: exportInterval,
})
}
return exporter
})
export function isTelemetryEnabled(): boolean {
return false
}
async function getOtlpLogExporters() {
const exporterTypes = parseExporterTypes(process.env.OTEL_LOGS_EXPORTER)
const protocol =
process.env.OTEL_EXPORTER_OTLP_LOGS_PROTOCOL?.trim() ||
process.env.OTEL_EXPORTER_OTLP_PROTOCOL?.trim()
const endpoint = process.env.OTEL_EXPORTER_OTLP_ENDPOINT
logForDebugging(
`[3P telemetry] getOtlpLogExporters: types=${jsonStringify(exporterTypes)}, protocol=${protocol}, endpoint=${endpoint}`,
)
const exporters = []
for (const exporterType of exporterTypes) {
if (exporterType === 'console') {
exporters.push(new ConsoleLogRecordExporter())
} else if (exporterType === 'otlp') {
const httpConfig = getOTLPExporterConfig()
switch (protocol) {
case 'grpc': {
const { OTLPLogExporter } = await import(
'@opentelemetry/exporter-logs-otlp-grpc'
)
exporters.push(new OTLPLogExporter())
break
}
case 'http/json': {
const { OTLPLogExporter } = await import(
'@opentelemetry/exporter-logs-otlp-http'
)
exporters.push(new OTLPLogExporter(httpConfig))
break
}
case 'http/protobuf': {
const { OTLPLogExporter } = await import(
'@opentelemetry/exporter-logs-otlp-proto'
)
exporters.push(new OTLPLogExporter(httpConfig))
break
}
default:
throw new Error(
`Unknown protocol set in OTEL_EXPORTER_OTLP_LOGS_PROTOCOL or OTEL_EXPORTER_OTLP_PROTOCOL env var: ${protocol}`,
)
}
} else {
throw new Error(
`Unknown exporter type set in OTEL_LOGS_EXPORTER env var: ${exporterType}`,
)
}
}
return exporters
export async function initializeTelemetry(): Promise<null> {
return null
}
async function getOtlpTraceExporters() {
const exporterTypes = parseExporterTypes(process.env.OTEL_TRACES_EXPORTER)
const exporters = []
for (const exporterType of exporterTypes) {
if (exporterType === 'console') {
exporters.push(new ConsoleSpanExporter())
} else if (exporterType === 'otlp') {
const protocol =
process.env.OTEL_EXPORTER_OTLP_TRACES_PROTOCOL?.trim() ||
process.env.OTEL_EXPORTER_OTLP_PROTOCOL?.trim()
const httpConfig = getOTLPExporterConfig()
switch (protocol) {
case 'grpc': {
const { OTLPTraceExporter } = await import(
'@opentelemetry/exporter-trace-otlp-grpc'
)
exporters.push(new OTLPTraceExporter())
break
}
case 'http/json': {
const { OTLPTraceExporter } = await import(
'@opentelemetry/exporter-trace-otlp-http'
)
exporters.push(new OTLPTraceExporter(httpConfig))
break
}
case 'http/protobuf': {
const { OTLPTraceExporter } = await import(
'@opentelemetry/exporter-trace-otlp-proto'
)
exporters.push(new OTLPTraceExporter(httpConfig))
break
}
default:
throw new Error(
`Unknown protocol set in OTEL_EXPORTER_OTLP_TRACES_PROTOCOL or OTEL_EXPORTER_OTLP_PROTOCOL env var: ${protocol}`,
)
}
} else {
throw new Error(
`Unknown exporter type set in OTEL_TRACES_EXPORTER env var: ${exporterType}`,
)
}
}
return exporters
}
export function isTelemetryEnabled() {
return isEnvTruthy(process.env.CLAUDE_CODE_ENABLE_TELEMETRY)
}
function getBigQueryExportingReader() {
const bigqueryExporter = new BigQueryMetricsExporter()
return new PeriodicExportingMetricReader({
exporter: bigqueryExporter,
exportIntervalMillis: 5 * 60 * 1000, // 5mins for BigQuery metrics exporter to reduce load
})
}
function isBigQueryMetricsEnabled() {
// BigQuery metrics are enabled for:
// 1. API customers (excluding Claude.ai subscribers and Bedrock/Vertex)
// 2. Claude for Enterprise (C4E) users
// 3. Claude for Teams users
const subscriptionType = getSubscriptionType()
const isC4EOrTeamUser =
isClaudeAISubscriber() &&
(subscriptionType === 'enterprise' || subscriptionType === 'team')
return is1PApiCustomer() || isC4EOrTeamUser
}
/**
* Initialize beta tracing - a separate code path for detailed debugging.
* Uses BETA_TRACING_ENDPOINT instead of OTEL_EXPORTER_OTLP_ENDPOINT.
*/
async function initializeBetaTracing(
resource: ReturnType<typeof resourceFromAttributes>,
): Promise<void> {
const endpoint = process.env.BETA_TRACING_ENDPOINT
if (!endpoint) {
return
}
const [{ OTLPTraceExporter }, { OTLPLogExporter }] = await Promise.all([
import('@opentelemetry/exporter-trace-otlp-http'),
import('@opentelemetry/exporter-logs-otlp-http'),
])
const httpConfig = {
url: `${endpoint}/v1/traces`,
}
const logHttpConfig = {
url: `${endpoint}/v1/logs`,
}
// Initialize trace exporter
const traceExporter = new OTLPTraceExporter(httpConfig)
const spanProcessor = new BatchSpanProcessor(traceExporter, {
scheduledDelayMillis: DEFAULT_TRACES_EXPORT_INTERVAL_MS,
})
const tracerProvider = new BasicTracerProvider({
resource,
spanProcessors: [spanProcessor],
})
trace.setGlobalTracerProvider(tracerProvider)
setTracerProvider(tracerProvider)
// Initialize log exporter
const logExporter = new OTLPLogExporter(logHttpConfig)
const loggerProvider = new LoggerProvider({
resource,
processors: [
new BatchLogRecordProcessor(logExporter, {
scheduledDelayMillis: DEFAULT_LOGS_EXPORT_INTERVAL_MS,
}),
],
})
logs.setGlobalLoggerProvider(loggerProvider)
setLoggerProvider(loggerProvider)
// Initialize event logger
const eventLogger = logs.getLogger(
'com.anthropic.claude_code.events',
MACRO.VERSION,
)
setEventLogger(eventLogger)
// Setup flush handlers - flush both logs AND traces
process.on('beforeExit', async () => {
await loggerProvider?.forceFlush()
await tracerProvider?.forceFlush()
})
process.on('exit', () => {
void loggerProvider?.forceFlush()
void tracerProvider?.forceFlush()
})
}
export async function initializeTelemetry() {
profileCheckpoint('telemetry_init_start')
bootstrapTelemetry()
// Console exporters call console.dir on a timer (5s logs/traces, 60s
// metrics), writing pretty-printed objects to stdout. In stream-json
// mode stdout is the SDK message channel; the first line (`{`) breaks
// the SDK's line reader. Stripped here (not main.tsx) because init.ts
// re-runs applyConfigEnvironmentVariables() inside initializeTelemetry-
// AfterTrust for remote-managed-settings users, and bootstrapTelemetry
// above copies ANT_OTEL_* for ant users — both would undo an earlier strip.
if (getHasFormattedOutput()) {
for (const key of [
'OTEL_METRICS_EXPORTER',
'OTEL_LOGS_EXPORTER',
'OTEL_TRACES_EXPORTER',
] as const) {
const v = process.env[key]
if (v?.includes('console')) {
process.env[key] = v
.split(',')
.map(s => s.trim())
.filter(s => s !== 'console')
.join(',')
}
}
}
diag.setLogger(new ClaudeCodeDiagLogger(), DiagLogLevel.ERROR)
// Initialize Perfetto tracing (independent of OTEL)
// Enable via CLAUDE_CODE_PERFETTO_TRACE=1 or CLAUDE_CODE_PERFETTO_TRACE=<path>
initializePerfettoTracing()
const readers = []
// Add customer exporters (if enabled)
const telemetryEnabled = isTelemetryEnabled()
logForDebugging(
`[3P telemetry] isTelemetryEnabled=${telemetryEnabled} (CLAUDE_CODE_ENABLE_TELEMETRY=${process.env.CLAUDE_CODE_ENABLE_TELEMETRY})`,
)
if (telemetryEnabled) {
readers.push(...(await getOtlpReaders()))
}
// Add BigQuery exporter (for API customers, C4E users, and internal users)
if (isBigQueryMetricsEnabled()) {
readers.push(getBigQueryExportingReader())
}
// Create base resource with service attributes
const platform = getPlatform()
const baseAttributes: Record<string, string> = {
[ATTR_SERVICE_NAME]: 'claude-code',
[ATTR_SERVICE_VERSION]: MACRO.VERSION,
}
// Add WSL-specific attributes if running on WSL
if (platform === 'wsl') {
const wslVersion = getWslVersion()
if (wslVersion) {
baseAttributes['wsl.version'] = wslVersion
}
}
const baseResource = resourceFromAttributes(baseAttributes)
// Use OpenTelemetry detectors
const osResource = resourceFromAttributes(
osDetector.detect().attributes || {},
)
// Extract only host.arch from hostDetector
const hostDetected = hostDetector.detect()
const hostArchAttributes = hostDetected.attributes?.[SEMRESATTRS_HOST_ARCH]
? {
[SEMRESATTRS_HOST_ARCH]: hostDetected.attributes[SEMRESATTRS_HOST_ARCH],
}
: {}
const hostArchResource = resourceFromAttributes(hostArchAttributes)
const envResource = resourceFromAttributes(
envDetector.detect().attributes || {},
)
// Merge resources - later resources take precedence
const resource = baseResource
.merge(osResource)
.merge(hostArchResource)
.merge(envResource)
// Check if beta tracing is enabled - this is a separate code path
// Available to all users who set ENABLE_BETA_TRACING_DETAILED=1 and BETA_TRACING_ENDPOINT
if (isBetaTracingEnabled()) {
void initializeBetaTracing(resource).catch(e =>
logForDebugging(`Beta tracing init failed: ${e}`, { level: 'error' }),
)
// Still set up meter provider for metrics (but skip regular logs/traces setup)
const meterProvider = new MeterProvider({
resource,
views: [],
readers,
})
setMeterProvider(meterProvider)
// Register shutdown for beta tracing
const shutdownTelemetry = async () => {
const timeoutMs = parseInt(
process.env.CLAUDE_CODE_OTEL_SHUTDOWN_TIMEOUT_MS || '2000',
)
try {
endInteractionSpan()
// Force flush + shutdown together inside the timeout. Previously forceFlush
// was awaited unbounded BEFORE the race, blocking exit on slow OTLP endpoints.
// Each provider's flush→shutdown is chained independently so a slow logger
// flush doesn't delay meterProvider/tracerProvider shutdown (no waterfall).
const loggerProvider = getLoggerProvider()
const tracerProvider = getTracerProvider()
const chains: Promise<void>[] = [meterProvider.shutdown()]
if (loggerProvider) {
chains.push(
loggerProvider.forceFlush().then(() => loggerProvider.shutdown()),
)
}
if (tracerProvider) {
chains.push(
tracerProvider.forceFlush().then(() => tracerProvider.shutdown()),
)
}
await Promise.race([
Promise.all(chains),
telemetryTimeout(timeoutMs, 'OpenTelemetry shutdown timeout'),
])
} catch {
// Ignore shutdown errors
}
}
registerCleanup(shutdownTelemetry)
return meterProvider.getMeter('com.anthropic.claude_code', MACRO.VERSION)
}
const meterProvider = new MeterProvider({
resource,
views: [],
readers,
})
// Store reference in state for flushing
setMeterProvider(meterProvider)
// Initialize logs if telemetry is enabled
if (telemetryEnabled) {
const logExporters = await getOtlpLogExporters()
logForDebugging(
`[3P telemetry] Created ${logExporters.length} log exporter(s)`,
)
if (logExporters.length > 0) {
const loggerProvider = new LoggerProvider({
resource,
// Add batch processors for each exporter
processors: logExporters.map(
exporter =>
new BatchLogRecordProcessor(exporter, {
scheduledDelayMillis: parseInt(
process.env.OTEL_LOGS_EXPORT_INTERVAL ||
DEFAULT_LOGS_EXPORT_INTERVAL_MS.toString(),
),
}),
),
})
// Register the logger provider globally
logs.setGlobalLoggerProvider(loggerProvider)
setLoggerProvider(loggerProvider)
// Initialize event logger
const eventLogger = logs.getLogger(
'com.anthropic.claude_code.events',
MACRO.VERSION,
)
setEventLogger(eventLogger)
logForDebugging('[3P telemetry] Event logger set successfully')
// 'beforeExit' is emitted when Node.js empties its event loop and has no additional work to schedule.
// Unlike 'exit', it allows us to perform async operations, so it works well for letting
// network requests complete before the process exits naturally.
process.on('beforeExit', async () => {
await loggerProvider?.forceFlush()
// Also flush traces - they use BatchSpanProcessor which needs explicit flush
const tracerProvider = getTracerProvider()
await tracerProvider?.forceFlush()
})
process.on('exit', () => {
// Final attempt to flush logs and traces
void loggerProvider?.forceFlush()
void getTracerProvider()?.forceFlush()
})
}
}
// Initialize tracing if enhanced telemetry is enabled (BETA)
if (telemetryEnabled && isEnhancedTelemetryEnabled()) {
const traceExporters = await getOtlpTraceExporters()
if (traceExporters.length > 0) {
// Create span processors for each exporter
const spanProcessors = traceExporters.map(
exporter =>
new BatchSpanProcessor(exporter, {
scheduledDelayMillis: parseInt(
process.env.OTEL_TRACES_EXPORT_INTERVAL ||
DEFAULT_TRACES_EXPORT_INTERVAL_MS.toString(),
),
}),
)
const tracerProvider = new BasicTracerProvider({
resource,
spanProcessors,
})
// Register the tracer provider globally
trace.setGlobalTracerProvider(tracerProvider)
setTracerProvider(tracerProvider)
}
}
// Shutdown metrics and logs on exit (flushes and closes exporters)
const shutdownTelemetry = async () => {
const timeoutMs = parseInt(
process.env.CLAUDE_CODE_OTEL_SHUTDOWN_TIMEOUT_MS || '2000',
)
try {
// End any active interaction span before shutdown
endInteractionSpan()
const shutdownPromises = [meterProvider.shutdown()]
const loggerProvider = getLoggerProvider()
if (loggerProvider) {
shutdownPromises.push(loggerProvider.shutdown())
}
const tracerProvider = getTracerProvider()
if (tracerProvider) {
shutdownPromises.push(tracerProvider.shutdown())
}
await Promise.race([
Promise.all(shutdownPromises),
telemetryTimeout(timeoutMs, 'OpenTelemetry shutdown timeout'),
])
} catch (error) {
if (error instanceof Error && error.message.includes('timeout')) {
logForDebugging(
`
OpenTelemetry telemetry flush timed out after ${timeoutMs}ms
To resolve this issue, you can:
1. Increase the timeout by setting CLAUDE_CODE_OTEL_SHUTDOWN_TIMEOUT_MS env var (e.g., 5000 for 5 seconds)
2. Check if your OpenTelemetry backend is experiencing scalability issues
3. Disable OpenTelemetry by unsetting CLAUDE_CODE_ENABLE_TELEMETRY env var
Current timeout: ${timeoutMs}ms
`,
{ level: 'error' },
)
}
throw error
}
}
// Always register shutdown (internal metrics are always enabled)
registerCleanup(shutdownTelemetry)
return meterProvider.getMeter('com.anthropic.claude_code', MACRO.VERSION)
}
/**
* Flush all pending telemetry data immediately.
* This should be called before logout or org switching to prevent data leakage.
*/
export async function flushTelemetry(): Promise<void> {
const meterProvider = getMeterProvider()
if (!meterProvider) {
return
}
const timeoutMs = parseInt(
process.env.CLAUDE_CODE_OTEL_FLUSH_TIMEOUT_MS || '5000',
)
try {
const flushPromises = [meterProvider.forceFlush()]
const loggerProvider = getLoggerProvider()
if (loggerProvider) {
flushPromises.push(loggerProvider.forceFlush())
}
const tracerProvider = getTracerProvider()
if (tracerProvider) {
flushPromises.push(tracerProvider.forceFlush())
}
await Promise.race([
Promise.all(flushPromises),
telemetryTimeout(timeoutMs, 'OpenTelemetry flush timeout'),
])
logForDebugging('Telemetry flushed successfully')
} catch (error) {
if (error instanceof TelemetryTimeoutError) {
logForDebugging(
`Telemetry flush timed out after ${timeoutMs}ms. Some metrics may not be exported.`,
{ level: 'warn' },
)
} else {
logForDebugging(`Telemetry flush failed: ${errorMessage(error)}`, {
level: 'error',
})
}
// Don't throw - allow logout to continue even if flush fails
}
}
function parseOtelHeadersEnvVar(): Record<string, string> {
const headers: Record<string, string> = {}
const envHeaders = process.env.OTEL_EXPORTER_OTLP_HEADERS
if (envHeaders) {
for (const pair of envHeaders.split(',')) {
const [key, ...valueParts] = pair.split('=')
if (key && valueParts.length > 0) {
headers[key.trim()] = valueParts.join('=').trim()
}
}
}
return headers
}
/**
* Get configuration for OTLP exporters including:
* - HTTP agent options (proxy, mTLS)
* - Dynamic headers via otelHeadersHelper or static headers from env var
*/
function getOTLPExporterConfig() {
const proxyUrl = getProxyUrl()
const mtlsConfig = getMTLSConfig()
const settings = getSettings_DEPRECATED()
// Build base config
const config: Record<string, unknown> = {}
// Parse static headers from env var once (doesn't change at runtime)
const staticHeaders = parseOtelHeadersEnvVar()
// If otelHeadersHelper is configured, use async headers function for dynamic refresh
// Otherwise just return static headers if any exist
if (settings?.otelHeadersHelper) {
config.headers = async (): Promise<Record<string, string>> => {
const dynamicHeaders = getOtelHeadersFromHelper()
return { ...staticHeaders, ...dynamicHeaders }
}
} else if (Object.keys(staticHeaders).length > 0) {
config.headers = async (): Promise<Record<string, string>> => staticHeaders
}
// Check if we should bypass proxy for OTEL endpoint
const otelEndpoint = process.env.OTEL_EXPORTER_OTLP_ENDPOINT
if (!proxyUrl || (otelEndpoint && shouldBypassProxy(otelEndpoint))) {
// No proxy configured or OTEL endpoint should bypass proxy
const caCerts = getCACertificates()
if (mtlsConfig || caCerts) {
config.httpAgentOptions = {
...mtlsConfig,
...(caCerts && { ca: caCerts }),
}
}
return config
}
// Return an HttpAgentFactory function that creates our proxy agent
const caCerts = getCACertificates()
const agentFactory = (_protocol: string) => {
// Create and return the proxy agent with mTLS and CA cert config
const proxyAgent =
mtlsConfig || caCerts
? new HttpsProxyAgent(proxyUrl, {
...(mtlsConfig && {
cert: mtlsConfig.cert,
key: mtlsConfig.key,
passphrase: mtlsConfig.passphrase,
}),
...(caCerts && { ca: caCerts }),
})
: new HttpsProxyAgent(proxyUrl)
return proxyAgent
}
config.httpAgentOptions = agentFactory
return config
return
}