mirror of
https://github.com/openai/codex.git
synced 2026-05-01 01:47:18 +00:00
- use `skills_for_cwd` lookup to scope allowed skills and build invocation context for downstream processing - add detection in `stream_events_utils` to classify tool calls as implicit skill invocations per the proposal (script runners, extensions, `scripts` dirs, and SKILL.md reads) - deduplicate invocations per turn and emit analytics/OTEL events on the same background queue as explicit invokes
671 lines
20 KiB
Rust
671 lines
20 KiB
Rust
use crate::AuthManager;
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use crate::config::Config;
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use crate::default_client::create_client;
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use crate::git_info::collect_git_info;
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use crate::git_info::get_git_repo_root;
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use codex_protocol::protocol::SkillScope;
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use serde::Serialize;
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use sha1::Digest;
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use sha1::Sha1;
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use std::collections::HashSet;
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use std::path::Path;
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use std::path::PathBuf;
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use std::sync::Arc;
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use std::sync::Mutex;
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use std::time::Duration;
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use tokio::sync::mpsc;
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#[derive(Clone)]
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pub(crate) struct TrackEventsContext {
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pub(crate) model_slug: String,
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pub(crate) thread_id: String,
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pub(crate) turn_id: String,
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}
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pub(crate) fn build_track_events_context(
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model_slug: String,
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thread_id: String,
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turn_id: String,
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) -> TrackEventsContext {
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TrackEventsContext {
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model_slug,
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thread_id,
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turn_id,
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}
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}
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#[derive(Clone, Debug)]
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pub(crate) struct SkillInvocation {
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pub(crate) skill_name: String,
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pub(crate) skill_scope: SkillScope,
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pub(crate) skill_path: PathBuf,
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pub(crate) invocation_type: InvocationType,
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}
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#[derive(Clone, Copy, Debug, Serialize)]
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#[serde(rename_all = "lowercase")]
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pub(crate) enum InvocationType {
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Explicit,
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Implicit,
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}
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pub(crate) struct AppInvocation {
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pub(crate) connector_id: Option<String>,
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pub(crate) app_name: Option<String>,
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pub(crate) invocation_type: Option<InvocationType>,
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}
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#[derive(Clone)]
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pub(crate) struct AnalyticsEventsQueue {
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sender: mpsc::Sender<TrackEventsJob>,
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app_used_emitted_keys: Arc<Mutex<HashSet<(String, String)>>>,
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}
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pub(crate) struct AnalyticsEventsClient {
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queue: AnalyticsEventsQueue,
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config: Arc<Config>,
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}
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impl AnalyticsEventsQueue {
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pub(crate) fn new(auth_manager: Arc<AuthManager>) -> Self {
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let (sender, mut receiver) = mpsc::channel(ANALYTICS_EVENTS_QUEUE_SIZE);
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tokio::spawn(async move {
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while let Some(job) = receiver.recv().await {
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match job {
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TrackEventsJob::SkillInvocations(job) => {
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send_track_skill_invocations(&auth_manager, job).await;
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}
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TrackEventsJob::AppMentioned(job) => {
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send_track_app_mentioned(&auth_manager, job).await;
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}
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TrackEventsJob::AppUsed(job) => {
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send_track_app_used(&auth_manager, job).await;
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}
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}
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}
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});
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Self {
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sender,
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app_used_emitted_keys: Arc::new(Mutex::new(HashSet::new())),
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}
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}
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fn try_send(&self, job: TrackEventsJob) {
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if self.sender.try_send(job).is_err() {
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//TODO: add a metric for this
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tracing::warn!("dropping analytics events: queue is full");
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}
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}
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fn should_enqueue_app_used(&self, tracking: &TrackEventsContext, app: &AppInvocation) -> bool {
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let Some(connector_id) = app.connector_id.as_ref() else {
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return true;
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};
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let mut emitted = self
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.app_used_emitted_keys
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.lock()
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.unwrap_or_else(std::sync::PoisonError::into_inner);
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if emitted.len() >= ANALYTICS_APP_USED_DEDUPE_MAX_KEYS {
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emitted.clear();
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}
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emitted.insert((tracking.turn_id.clone(), connector_id.clone()))
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}
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}
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impl AnalyticsEventsClient {
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pub(crate) fn new(config: Arc<Config>, auth_manager: Arc<AuthManager>) -> Self {
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Self {
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queue: AnalyticsEventsQueue::new(Arc::clone(&auth_manager)),
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config,
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}
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}
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pub(crate) fn track_skill_invocations(
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&self,
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tracking: TrackEventsContext,
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invocations: Vec<SkillInvocation>,
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) {
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track_skill_invocations(
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&self.queue,
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Arc::clone(&self.config),
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Some(tracking),
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invocations,
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);
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}
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pub(crate) fn track_app_mentioned(
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&self,
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tracking: TrackEventsContext,
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mentions: Vec<AppInvocation>,
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) {
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track_app_mentioned(
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&self.queue,
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Arc::clone(&self.config),
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Some(tracking),
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mentions,
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);
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}
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pub(crate) fn track_app_used(&self, tracking: TrackEventsContext, app: AppInvocation) {
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track_app_used(&self.queue, Arc::clone(&self.config), Some(tracking), app);
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}
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}
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enum TrackEventsJob {
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SkillInvocations(TrackSkillInvocationsJob),
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AppMentioned(TrackAppMentionedJob),
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AppUsed(TrackAppUsedJob),
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}
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struct TrackSkillInvocationsJob {
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config: Arc<Config>,
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tracking: TrackEventsContext,
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invocations: Vec<SkillInvocation>,
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}
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struct TrackAppMentionedJob {
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config: Arc<Config>,
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tracking: TrackEventsContext,
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mentions: Vec<AppInvocation>,
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}
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struct TrackAppUsedJob {
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config: Arc<Config>,
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tracking: TrackEventsContext,
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app: AppInvocation,
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}
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const ANALYTICS_EVENTS_QUEUE_SIZE: usize = 256;
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const ANALYTICS_EVENTS_TIMEOUT: Duration = Duration::from_secs(10);
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const ANALYTICS_APP_USED_DEDUPE_MAX_KEYS: usize = 4096;
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#[derive(Serialize)]
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struct TrackEventsRequest {
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events: Vec<TrackEventRequest>,
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}
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#[derive(Serialize)]
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#[serde(untagged)]
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enum TrackEventRequest {
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SkillInvocation(SkillInvocationEventRequest),
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AppMentioned(CodexAppMentionedEventRequest),
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AppUsed(CodexAppUsedEventRequest),
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}
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#[derive(Serialize)]
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struct SkillInvocationEventRequest {
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event_type: &'static str,
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skill_id: String,
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skill_name: String,
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event_params: SkillInvocationEventParams,
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}
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#[derive(Serialize)]
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struct SkillInvocationEventParams {
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product_client_id: Option<String>,
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skill_scope: Option<String>,
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repo_url: Option<String>,
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thread_id: Option<String>,
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invoke_type: Option<InvocationType>,
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model_slug: Option<String>,
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}
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#[derive(Serialize)]
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struct CodexAppMetadata {
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connector_id: Option<String>,
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thread_id: Option<String>,
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turn_id: Option<String>,
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app_name: Option<String>,
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product_client_id: Option<String>,
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invoke_type: Option<InvocationType>,
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model_slug: Option<String>,
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}
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#[derive(Serialize)]
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struct CodexAppMentionedEventRequest {
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event_type: &'static str,
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event_params: CodexAppMetadata,
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}
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#[derive(Serialize)]
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struct CodexAppUsedEventRequest {
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event_type: &'static str,
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event_params: CodexAppMetadata,
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}
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pub(crate) fn track_skill_invocations(
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queue: &AnalyticsEventsQueue,
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config: Arc<Config>,
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tracking: Option<TrackEventsContext>,
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invocations: Vec<SkillInvocation>,
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) {
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if config.analytics_enabled == Some(false) {
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return;
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}
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let Some(tracking) = tracking else {
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return;
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};
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if invocations.is_empty() {
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return;
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}
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let job = TrackEventsJob::SkillInvocations(TrackSkillInvocationsJob {
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config,
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tracking,
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invocations,
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});
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queue.try_send(job);
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}
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pub(crate) fn track_app_mentioned(
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queue: &AnalyticsEventsQueue,
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config: Arc<Config>,
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tracking: Option<TrackEventsContext>,
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mentions: Vec<AppInvocation>,
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) {
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if config.analytics_enabled == Some(false) {
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return;
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}
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let Some(tracking) = tracking else {
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return;
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};
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if mentions.is_empty() {
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return;
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}
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let job = TrackEventsJob::AppMentioned(TrackAppMentionedJob {
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config,
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tracking,
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mentions,
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});
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queue.try_send(job);
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}
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pub(crate) fn track_app_used(
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queue: &AnalyticsEventsQueue,
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config: Arc<Config>,
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tracking: Option<TrackEventsContext>,
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app: AppInvocation,
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) {
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if config.analytics_enabled == Some(false) {
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return;
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}
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let Some(tracking) = tracking else {
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return;
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};
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if !queue.should_enqueue_app_used(&tracking, &app) {
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return;
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}
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let job = TrackEventsJob::AppUsed(TrackAppUsedJob {
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config,
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tracking,
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app,
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});
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queue.try_send(job);
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}
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async fn send_track_skill_invocations(auth_manager: &AuthManager, job: TrackSkillInvocationsJob) {
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let TrackSkillInvocationsJob {
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config,
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tracking,
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invocations,
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} = job;
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let mut events = Vec::with_capacity(invocations.len());
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for invocation in invocations {
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let skill_scope = match invocation.skill_scope {
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SkillScope::User => "user",
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SkillScope::Repo => "repo",
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SkillScope::System => "system",
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SkillScope::Admin => "admin",
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};
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let repo_root = get_git_repo_root(invocation.skill_path.as_path());
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let repo_url = if let Some(root) = repo_root.as_ref() {
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collect_git_info(root)
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.await
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.and_then(|info| info.repository_url)
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} else {
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None
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};
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let skill_id = skill_id_for_local_skill(
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repo_url.as_deref(),
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repo_root.as_deref(),
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invocation.skill_path.as_path(),
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invocation.skill_name.as_str(),
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);
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events.push(TrackEventRequest::SkillInvocation(
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SkillInvocationEventRequest {
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event_type: "skill_invocation",
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skill_id,
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skill_name: invocation.skill_name.clone(),
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event_params: SkillInvocationEventParams {
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thread_id: Some(tracking.thread_id.clone()),
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invoke_type: Some(invocation.invocation_type),
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model_slug: Some(tracking.model_slug.clone()),
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product_client_id: Some(crate::default_client::originator().value),
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repo_url,
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skill_scope: Some(skill_scope.to_string()),
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},
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},
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));
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}
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send_track_events(auth_manager, config, events).await;
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}
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async fn send_track_app_mentioned(auth_manager: &AuthManager, job: TrackAppMentionedJob) {
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let TrackAppMentionedJob {
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config,
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tracking,
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mentions,
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} = job;
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let events = mentions
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.into_iter()
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.map(|mention| {
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let event_params = codex_app_metadata(&tracking, mention);
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TrackEventRequest::AppMentioned(CodexAppMentionedEventRequest {
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event_type: "codex_app_mentioned",
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event_params,
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})
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})
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.collect::<Vec<_>>();
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send_track_events(auth_manager, config, events).await;
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}
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async fn send_track_app_used(auth_manager: &AuthManager, job: TrackAppUsedJob) {
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let TrackAppUsedJob {
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config,
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tracking,
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app,
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} = job;
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let event_params = codex_app_metadata(&tracking, app);
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let events = vec![TrackEventRequest::AppUsed(CodexAppUsedEventRequest {
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event_type: "codex_app_used",
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event_params,
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})];
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send_track_events(auth_manager, config, events).await;
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}
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fn codex_app_metadata(tracking: &TrackEventsContext, app: AppInvocation) -> CodexAppMetadata {
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CodexAppMetadata {
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connector_id: app.connector_id,
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thread_id: Some(tracking.thread_id.clone()),
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turn_id: Some(tracking.turn_id.clone()),
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app_name: app.app_name,
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product_client_id: Some(crate::default_client::originator().value),
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invoke_type: app.invocation_type,
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model_slug: Some(tracking.model_slug.clone()),
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}
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}
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async fn send_track_events(
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auth_manager: &AuthManager,
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config: Arc<Config>,
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events: Vec<TrackEventRequest>,
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) {
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if events.is_empty() {
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return;
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}
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let Some(auth) = auth_manager.auth().await else {
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return;
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};
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if !auth.is_chatgpt_auth() {
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return;
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}
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let access_token = match auth.get_token() {
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Ok(token) => token,
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Err(_) => return,
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};
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let Some(account_id) = auth.get_account_id() else {
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return;
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};
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let base_url = config.chatgpt_base_url.trim_end_matches('/');
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let url = format!("{base_url}/codex/analytics-events/events");
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let payload = TrackEventsRequest { events };
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let response = create_client()
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.post(&url)
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.timeout(ANALYTICS_EVENTS_TIMEOUT)
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.bearer_auth(&access_token)
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.header("chatgpt-account-id", &account_id)
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.header("Content-Type", "application/json")
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.json(&payload)
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.send()
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.await;
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match response {
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Ok(response) if response.status().is_success() => {}
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Ok(response) => {
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let status = response.status();
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let body = response.text().await.unwrap_or_default();
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tracing::warn!("events failed with status {status}: {body}");
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}
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Err(err) => {
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tracing::warn!("failed to send events request: {err}");
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}
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}
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}
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pub(crate) fn skill_id_for_local_skill(
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repo_url: Option<&str>,
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repo_root: Option<&Path>,
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skill_path: &Path,
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skill_name: &str,
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) -> String {
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let path = normalize_path_for_skill_id(repo_url, repo_root, skill_path);
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let prefix = if let Some(url) = repo_url {
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format!("repo_{url}")
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} else {
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"personal".to_string()
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};
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let raw_id = format!("{prefix}_{path}_{skill_name}");
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let mut hasher = Sha1::new();
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hasher.update(raw_id.as_bytes());
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format!("{:x}", hasher.finalize())
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}
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/// Returns a normalized path for skill ID construction.
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///
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/// - Repo-scoped skills use a path relative to the repo root.
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/// - User/admin/system skills use an absolute path.
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fn normalize_path_for_skill_id(
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repo_url: Option<&str>,
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repo_root: Option<&Path>,
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skill_path: &Path,
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) -> String {
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let resolved_path =
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std::fs::canonicalize(skill_path).unwrap_or_else(|_| skill_path.to_path_buf());
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match (repo_url, repo_root) {
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(Some(_), Some(root)) => {
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let resolved_root = std::fs::canonicalize(root).unwrap_or_else(|_| root.to_path_buf());
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resolved_path
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.strip_prefix(&resolved_root)
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.unwrap_or(resolved_path.as_path())
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.to_string_lossy()
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.replace('\\', "/")
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}
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_ => resolved_path.to_string_lossy().replace('\\', "/"),
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}
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}
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|
|
#[cfg(test)]
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mod tests {
|
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use super::AnalyticsEventsQueue;
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use super::AppInvocation;
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use super::CodexAppMentionedEventRequest;
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use super::CodexAppUsedEventRequest;
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use super::InvocationType;
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use super::TrackEventRequest;
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use super::TrackEventsContext;
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use super::codex_app_metadata;
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use super::normalize_path_for_skill_id;
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use pretty_assertions::assert_eq;
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use serde_json::json;
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use std::collections::HashSet;
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use std::path::PathBuf;
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use std::sync::Arc;
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use std::sync::Mutex;
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use tokio::sync::mpsc;
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|
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fn expected_absolute_path(path: &PathBuf) -> String {
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std::fs::canonicalize(path)
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.unwrap_or_else(|_| path.to_path_buf())
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.to_string_lossy()
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.replace('\\', "/")
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}
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#[test]
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fn normalize_path_for_skill_id_repo_scoped_uses_relative_path() {
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let repo_root = PathBuf::from("/repo/root");
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let skill_path = PathBuf::from("/repo/root/.codex/skills/doc/SKILL.md");
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let path = normalize_path_for_skill_id(
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Some("https://example.com/repo.git"),
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Some(repo_root.as_path()),
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skill_path.as_path(),
|
|
);
|
|
|
|
assert_eq!(path, ".codex/skills/doc/SKILL.md");
|
|
}
|
|
|
|
#[test]
|
|
fn normalize_path_for_skill_id_user_scoped_uses_absolute_path() {
|
|
let skill_path = PathBuf::from("/Users/abc/.codex/skills/doc/SKILL.md");
|
|
|
|
let path = normalize_path_for_skill_id(None, None, skill_path.as_path());
|
|
let expected = expected_absolute_path(&skill_path);
|
|
|
|
assert_eq!(path, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn normalize_path_for_skill_id_admin_scoped_uses_absolute_path() {
|
|
let skill_path = PathBuf::from("/etc/codex/skills/doc/SKILL.md");
|
|
|
|
let path = normalize_path_for_skill_id(None, None, skill_path.as_path());
|
|
let expected = expected_absolute_path(&skill_path);
|
|
|
|
assert_eq!(path, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn normalize_path_for_skill_id_repo_root_not_in_skill_path_uses_absolute_path() {
|
|
let repo_root = PathBuf::from("/repo/root");
|
|
let skill_path = PathBuf::from("/other/path/.codex/skills/doc/SKILL.md");
|
|
|
|
let path = normalize_path_for_skill_id(
|
|
Some("https://example.com/repo.git"),
|
|
Some(repo_root.as_path()),
|
|
skill_path.as_path(),
|
|
);
|
|
let expected = expected_absolute_path(&skill_path);
|
|
|
|
assert_eq!(path, expected);
|
|
}
|
|
|
|
#[test]
|
|
fn app_mentioned_event_serializes_expected_shape() {
|
|
let tracking = TrackEventsContext {
|
|
model_slug: "gpt-5".to_string(),
|
|
thread_id: "thread-1".to_string(),
|
|
turn_id: "turn-1".to_string(),
|
|
};
|
|
let event = TrackEventRequest::AppMentioned(CodexAppMentionedEventRequest {
|
|
event_type: "codex_app_mentioned",
|
|
event_params: codex_app_metadata(
|
|
&tracking,
|
|
AppInvocation {
|
|
connector_id: Some("calendar".to_string()),
|
|
app_name: Some("Calendar".to_string()),
|
|
invocation_type: Some(InvocationType::Explicit),
|
|
},
|
|
),
|
|
});
|
|
|
|
let payload = serde_json::to_value(&event).expect("serialize app mentioned event");
|
|
|
|
assert_eq!(
|
|
payload,
|
|
json!({
|
|
"event_type": "codex_app_mentioned",
|
|
"event_params": {
|
|
"connector_id": "calendar",
|
|
"thread_id": "thread-1",
|
|
"turn_id": "turn-1",
|
|
"app_name": "Calendar",
|
|
"product_client_id": crate::default_client::originator().value,
|
|
"invoke_type": "explicit",
|
|
"model_slug": "gpt-5"
|
|
}
|
|
})
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn app_used_event_serializes_expected_shape() {
|
|
let tracking = TrackEventsContext {
|
|
model_slug: "gpt-5".to_string(),
|
|
thread_id: "thread-2".to_string(),
|
|
turn_id: "turn-2".to_string(),
|
|
};
|
|
let event = TrackEventRequest::AppUsed(CodexAppUsedEventRequest {
|
|
event_type: "codex_app_used",
|
|
event_params: codex_app_metadata(
|
|
&tracking,
|
|
AppInvocation {
|
|
connector_id: Some("drive".to_string()),
|
|
app_name: Some("Google Drive".to_string()),
|
|
invocation_type: Some(InvocationType::Implicit),
|
|
},
|
|
),
|
|
});
|
|
|
|
let payload = serde_json::to_value(&event).expect("serialize app used event");
|
|
|
|
assert_eq!(
|
|
payload,
|
|
json!({
|
|
"event_type": "codex_app_used",
|
|
"event_params": {
|
|
"connector_id": "drive",
|
|
"thread_id": "thread-2",
|
|
"turn_id": "turn-2",
|
|
"app_name": "Google Drive",
|
|
"product_client_id": crate::default_client::originator().value,
|
|
"invoke_type": "implicit",
|
|
"model_slug": "gpt-5"
|
|
}
|
|
})
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn app_used_dedupe_is_keyed_by_turn_and_connector() {
|
|
let (sender, _receiver) = mpsc::channel(1);
|
|
let queue = AnalyticsEventsQueue {
|
|
sender,
|
|
app_used_emitted_keys: Arc::new(Mutex::new(HashSet::new())),
|
|
};
|
|
let app = AppInvocation {
|
|
connector_id: Some("calendar".to_string()),
|
|
app_name: Some("Calendar".to_string()),
|
|
invocation_type: Some(InvocationType::Implicit),
|
|
};
|
|
|
|
let turn_1 = TrackEventsContext {
|
|
model_slug: "gpt-5".to_string(),
|
|
thread_id: "thread-1".to_string(),
|
|
turn_id: "turn-1".to_string(),
|
|
};
|
|
let turn_2 = TrackEventsContext {
|
|
model_slug: "gpt-5".to_string(),
|
|
thread_id: "thread-1".to_string(),
|
|
turn_id: "turn-2".to_string(),
|
|
};
|
|
|
|
assert_eq!(queue.should_enqueue_app_used(&turn_1, &app), true);
|
|
assert_eq!(queue.should_enqueue_app_used(&turn_1, &app), false);
|
|
assert_eq!(queue.should_enqueue_app_used(&turn_2, &app), true);
|
|
}
|
|
}
|