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https://github.com/pchuan98/codex.git
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014e19510d
## Description This PR expands tracing coverage across app-server thread startup, core session initialization, and the Responses transport layer. It also gives core dispatch spans stable operation-specific names so traces are easier to follow than the old generic `submission_dispatch` spans. Also use `fmt::Display` for types that we serialize in traces so we send strings instead of rust types
465 lines
17 KiB
Rust
465 lines
17 KiB
Rust
use super::cache::ModelsCacheManager;
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use crate::api_bridge::auth_provider_from_auth;
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use crate::api_bridge::map_api_error;
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use crate::auth::AuthManager;
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use crate::auth::AuthMode;
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use crate::config::Config;
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use crate::default_client::build_reqwest_client;
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use crate::error::CodexErr;
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use crate::error::Result as CoreResult;
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use crate::model_provider_info::ModelProviderInfo;
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use crate::models_manager::collaboration_mode_presets::CollaborationModesConfig;
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use crate::models_manager::collaboration_mode_presets::builtin_collaboration_mode_presets;
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use crate::models_manager::model_info;
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use codex_api::ModelsClient;
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use codex_api::ReqwestTransport;
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use codex_protocol::config_types::CollaborationModeMask;
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use codex_protocol::openai_models::ModelInfo;
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use codex_protocol::openai_models::ModelPreset;
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use codex_protocol::openai_models::ModelsResponse;
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use http::HeaderMap;
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use std::fmt;
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use std::path::PathBuf;
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use std::sync::Arc;
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use std::time::Duration;
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use tokio::sync::RwLock;
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use tokio::sync::TryLockError;
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use tokio::time::timeout;
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use tracing::error;
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use tracing::info;
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use tracing::instrument;
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const MODEL_CACHE_FILE: &str = "models_cache.json";
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const DEFAULT_MODEL_CACHE_TTL: Duration = Duration::from_secs(300);
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const MODELS_REFRESH_TIMEOUT: Duration = Duration::from_secs(5);
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/// Strategy for refreshing available models.
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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pub enum RefreshStrategy {
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/// Always fetch from the network, ignoring cache.
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Online,
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/// Only use cached data, never fetch from the network.
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Offline,
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/// Use cache if available and fresh, otherwise fetch from the network.
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OnlineIfUncached,
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}
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impl RefreshStrategy {
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const fn as_str(self) -> &'static str {
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match self {
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Self::Online => "online",
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Self::Offline => "offline",
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Self::OnlineIfUncached => "online_if_uncached",
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}
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}
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}
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impl fmt::Display for RefreshStrategy {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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f.write_str(self.as_str())
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}
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}
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/// How the manager's base catalog is sourced for the lifetime of the process.
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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enum CatalogMode {
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/// Start from bundled `models.json` and allow cache/network refresh updates.
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Default,
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/// Use a caller-provided catalog as authoritative and do not mutate it via refresh.
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Custom,
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}
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/// Coordinates remote model discovery plus cached metadata on disk.
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#[derive(Debug)]
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pub struct ModelsManager {
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remote_models: RwLock<Vec<ModelInfo>>,
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catalog_mode: CatalogMode,
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collaboration_modes_config: CollaborationModesConfig,
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auth_manager: Arc<AuthManager>,
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etag: RwLock<Option<String>>,
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cache_manager: ModelsCacheManager,
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provider: ModelProviderInfo,
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}
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impl ModelsManager {
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/// Construct a manager scoped to the provided `AuthManager`.
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///
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/// Uses `codex_home` to store cached model metadata and initializes with bundled catalog
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/// When `model_catalog` is provided, it becomes the authoritative remote model list and
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/// background refreshes from `/models` are disabled.
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pub fn new(
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codex_home: PathBuf,
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auth_manager: Arc<AuthManager>,
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model_catalog: Option<ModelsResponse>,
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collaboration_modes_config: CollaborationModesConfig,
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) -> Self {
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let cache_path = codex_home.join(MODEL_CACHE_FILE);
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let cache_manager = ModelsCacheManager::new(cache_path, DEFAULT_MODEL_CACHE_TTL);
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let catalog_mode = if model_catalog.is_some() {
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CatalogMode::Custom
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} else {
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CatalogMode::Default
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};
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let remote_models = model_catalog
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.map(|catalog| catalog.models)
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.unwrap_or_else(|| {
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Self::load_remote_models_from_file()
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.unwrap_or_else(|err| panic!("failed to load bundled models.json: {err}"))
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});
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Self {
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remote_models: RwLock::new(remote_models),
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catalog_mode,
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collaboration_modes_config,
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auth_manager,
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etag: RwLock::new(None),
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cache_manager,
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provider: ModelProviderInfo::create_openai_provider(),
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}
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}
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/// List all available models, refreshing according to the specified strategy.
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///
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/// Returns model presets sorted by priority and filtered by auth mode and visibility.
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#[instrument(
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level = "info",
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skip(self),
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fields(refresh_strategy = %refresh_strategy)
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)]
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pub async fn list_models(&self, refresh_strategy: RefreshStrategy) -> Vec<ModelPreset> {
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if let Err(err) = self.refresh_available_models(refresh_strategy).await {
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error!("failed to refresh available models: {err}");
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}
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let remote_models = self.get_remote_models().await;
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self.build_available_models(remote_models)
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}
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/// List collaboration mode presets.
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///
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/// Returns a static set of presets seeded with the configured model.
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pub fn list_collaboration_modes(&self) -> Vec<CollaborationModeMask> {
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self.list_collaboration_modes_for_config(self.collaboration_modes_config)
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}
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pub fn list_collaboration_modes_for_config(
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&self,
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collaboration_modes_config: CollaborationModesConfig,
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) -> Vec<CollaborationModeMask> {
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builtin_collaboration_mode_presets(collaboration_modes_config)
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}
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/// Attempt to list models without blocking, using the current cached state.
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///
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/// Returns an error if the internal lock cannot be acquired.
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pub fn try_list_models(&self) -> Result<Vec<ModelPreset>, TryLockError> {
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let remote_models = self.try_get_remote_models()?;
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Ok(self.build_available_models(remote_models))
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}
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// todo(aibrahim): should be visible to core only and sent on session_configured event
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/// Get the model identifier to use, refreshing according to the specified strategy.
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///
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/// If `model` is provided, returns it directly. Otherwise selects the default based on
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/// auth mode and available models.
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#[instrument(
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level = "info",
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skip(self, model),
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fields(
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model.provided = model.is_some(),
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refresh_strategy = %refresh_strategy
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)
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)]
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pub async fn get_default_model(
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&self,
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model: &Option<String>,
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refresh_strategy: RefreshStrategy,
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) -> String {
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if let Some(model) = model.as_ref() {
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return model.to_string();
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}
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if let Err(err) = self.refresh_available_models(refresh_strategy).await {
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error!("failed to refresh available models: {err}");
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}
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let remote_models = self.get_remote_models().await;
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let available = self.build_available_models(remote_models);
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available
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.iter()
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.find(|model| model.is_default)
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.or_else(|| available.first())
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.map(|model| model.model.clone())
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.unwrap_or_default()
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}
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// todo(aibrahim): look if we can tighten it to pub(crate)
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/// Look up model metadata, applying remote overrides and config adjustments.
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#[instrument(level = "info", skip(self, config), fields(model = model))]
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pub async fn get_model_info(&self, model: &str, config: &Config) -> ModelInfo {
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let remote_models = self.get_remote_models().await;
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Self::construct_model_info_from_candidates(model, &remote_models, config)
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}
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fn find_model_by_longest_prefix(model: &str, candidates: &[ModelInfo]) -> Option<ModelInfo> {
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let mut best: Option<ModelInfo> = None;
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for candidate in candidates {
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if !model.starts_with(&candidate.slug) {
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continue;
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}
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let is_better_match = if let Some(current) = best.as_ref() {
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candidate.slug.len() > current.slug.len()
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} else {
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true
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};
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if is_better_match {
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best = Some(candidate.clone());
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}
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}
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best
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}
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/// Retry metadata lookup for a single namespaced slug like `namespace/model-name`.
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///
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/// This only strips one leading namespace segment and only when the namespace is ASCII
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/// alphanumeric/underscore (`\\w+`) to avoid broadly matching arbitrary aliases.
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fn find_model_by_namespaced_suffix(model: &str, candidates: &[ModelInfo]) -> Option<ModelInfo> {
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let (namespace, suffix) = model.split_once('/')?;
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if suffix.contains('/') {
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return None;
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}
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if !namespace
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.chars()
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.all(|c| c.is_ascii_alphanumeric() || c == '_')
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{
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return None;
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}
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Self::find_model_by_longest_prefix(suffix, candidates)
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}
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fn construct_model_info_from_candidates(
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model: &str,
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candidates: &[ModelInfo],
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config: &Config,
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) -> ModelInfo {
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// First use the normal longest-prefix match. If that misses, allow a narrowly scoped
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// retry for namespaced slugs like `custom/gpt-5.3-codex`.
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let remote = Self::find_model_by_longest_prefix(model, candidates)
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.or_else(|| Self::find_model_by_namespaced_suffix(model, candidates));
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let model_info = if let Some(remote) = remote {
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ModelInfo {
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slug: model.to_string(),
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used_fallback_model_metadata: false,
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..remote
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}
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} else {
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model_info::model_info_from_slug(model)
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};
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model_info::with_config_overrides(model_info, config)
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}
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/// Refresh models if the provided ETag differs from the cached ETag.
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///
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/// Uses `Online` strategy to fetch latest models when ETags differ.
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pub(crate) async fn refresh_if_new_etag(&self, etag: String) {
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let current_etag = self.get_etag().await;
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if current_etag.clone().is_some() && current_etag.as_deref() == Some(etag.as_str()) {
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if let Err(err) = self.cache_manager.renew_cache_ttl().await {
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error!("failed to renew cache TTL: {err}");
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}
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return;
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}
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if let Err(err) = self.refresh_available_models(RefreshStrategy::Online).await {
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error!("failed to refresh available models: {err}");
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}
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}
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/// Refresh available models according to the specified strategy.
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async fn refresh_available_models(&self, refresh_strategy: RefreshStrategy) -> CoreResult<()> {
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// don't override the custom model catalog if one was provided by the user
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if matches!(self.catalog_mode, CatalogMode::Custom) {
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return Ok(());
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}
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if self.auth_manager.auth_mode() != Some(AuthMode::Chatgpt) {
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if matches!(
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refresh_strategy,
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RefreshStrategy::Offline | RefreshStrategy::OnlineIfUncached
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) {
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self.try_load_cache().await;
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}
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return Ok(());
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}
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match refresh_strategy {
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RefreshStrategy::Offline => {
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// Only try to load from cache, never fetch
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self.try_load_cache().await;
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Ok(())
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}
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RefreshStrategy::OnlineIfUncached => {
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// Try cache first, fall back to online if unavailable
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if self.try_load_cache().await {
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info!("models cache: using cached models for OnlineIfUncached");
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return Ok(());
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}
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info!("models cache: cache miss, fetching remote models");
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self.fetch_and_update_models().await
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}
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RefreshStrategy::Online => {
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// Always fetch from network
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self.fetch_and_update_models().await
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}
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}
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}
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async fn fetch_and_update_models(&self) -> CoreResult<()> {
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let _timer =
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codex_otel::start_global_timer("codex.remote_models.fetch_update.duration_ms", &[]);
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let auth = self.auth_manager.auth().await;
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let auth_mode = self.auth_manager.auth_mode();
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let api_provider = self.provider.to_api_provider(auth_mode)?;
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let api_auth = auth_provider_from_auth(auth.clone(), &self.provider)?;
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let transport = ReqwestTransport::new(build_reqwest_client());
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let client = ModelsClient::new(transport, api_provider, api_auth);
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let client_version = crate::models_manager::client_version_to_whole();
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let (models, etag) = timeout(
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MODELS_REFRESH_TIMEOUT,
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client.list_models(&client_version, HeaderMap::new()),
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)
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.await
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.map_err(|_| CodexErr::Timeout)?
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.map_err(map_api_error)?;
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self.apply_remote_models(models.clone()).await;
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*self.etag.write().await = etag.clone();
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self.cache_manager
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.persist_cache(&models, etag, client_version)
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.await;
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Ok(())
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}
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async fn get_etag(&self) -> Option<String> {
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self.etag.read().await.clone()
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}
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/// Replace the cached remote models and rebuild the derived presets list.
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async fn apply_remote_models(&self, models: Vec<ModelInfo>) {
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let mut existing_models = Self::load_remote_models_from_file().unwrap_or_default();
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for model in models {
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if let Some(existing_index) = existing_models
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.iter()
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.position(|existing| existing.slug == model.slug)
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{
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existing_models[existing_index] = model;
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} else {
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existing_models.push(model);
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}
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}
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*self.remote_models.write().await = existing_models;
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}
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fn load_remote_models_from_file() -> Result<Vec<ModelInfo>, std::io::Error> {
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let file_contents = include_str!("../../models.json");
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let response: ModelsResponse = serde_json::from_str(file_contents)?;
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Ok(response.models)
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}
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/// Attempt to satisfy the refresh from the cache when it matches the provider and TTL.
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async fn try_load_cache(&self) -> bool {
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let _timer =
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codex_otel::start_global_timer("codex.remote_models.load_cache.duration_ms", &[]);
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let client_version = crate::models_manager::client_version_to_whole();
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info!(client_version, "models cache: evaluating cache eligibility");
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let cache = match self.cache_manager.load_fresh(&client_version).await {
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Some(cache) => cache,
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None => {
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info!("models cache: no usable cache entry");
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return false;
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}
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};
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let models = cache.models.clone();
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*self.etag.write().await = cache.etag.clone();
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self.apply_remote_models(models.clone()).await;
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info!(
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models_count = models.len(),
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etag = ?cache.etag,
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"models cache: cache entry applied"
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);
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true
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}
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/// Build picker-ready presets from the active catalog snapshot.
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fn build_available_models(&self, mut remote_models: Vec<ModelInfo>) -> Vec<ModelPreset> {
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remote_models.sort_by(|a, b| a.priority.cmp(&b.priority));
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let mut presets: Vec<ModelPreset> = remote_models.into_iter().map(Into::into).collect();
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let chatgpt_mode = matches!(self.auth_manager.auth_mode(), Some(AuthMode::Chatgpt));
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presets = ModelPreset::filter_by_auth(presets, chatgpt_mode);
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ModelPreset::mark_default_by_picker_visibility(&mut presets);
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presets
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}
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async fn get_remote_models(&self) -> Vec<ModelInfo> {
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self.remote_models.read().await.clone()
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}
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fn try_get_remote_models(&self) -> Result<Vec<ModelInfo>, TryLockError> {
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Ok(self.remote_models.try_read()?.clone())
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}
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/// Construct a manager with a specific provider for testing.
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pub(crate) fn with_provider_for_tests(
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codex_home: PathBuf,
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auth_manager: Arc<AuthManager>,
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provider: ModelProviderInfo,
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) -> Self {
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let cache_path = codex_home.join(MODEL_CACHE_FILE);
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let cache_manager = ModelsCacheManager::new(cache_path, DEFAULT_MODEL_CACHE_TTL);
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Self {
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remote_models: RwLock::new(
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Self::load_remote_models_from_file()
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.unwrap_or_else(|err| panic!("failed to load bundled models.json: {err}")),
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),
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catalog_mode: CatalogMode::Default,
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collaboration_modes_config: CollaborationModesConfig::default(),
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auth_manager,
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etag: RwLock::new(None),
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cache_manager,
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provider,
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}
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}
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/// Get model identifier without consulting remote state or cache.
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pub(crate) fn get_model_offline_for_tests(model: Option<&str>) -> String {
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if let Some(model) = model {
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return model.to_string();
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}
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let mut models = Self::load_remote_models_from_file().unwrap_or_default();
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models.sort_by(|a, b| a.priority.cmp(&b.priority));
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let presets: Vec<ModelPreset> = models.into_iter().map(Into::into).collect();
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presets
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.iter()
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.find(|preset| preset.show_in_picker)
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.or_else(|| presets.first())
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.map(|preset| preset.model.clone())
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.unwrap_or_default()
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}
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/// Build `ModelInfo` without consulting remote state or cache.
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pub(crate) fn construct_model_info_offline_for_tests(
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model: &str,
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config: &Config,
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) -> ModelInfo {
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let candidates: &[ModelInfo] = if let Some(model_catalog) = config.model_catalog.as_ref() {
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&model_catalog.models
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} else {
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&[]
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};
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Self::construct_model_info_from_candidates(model, candidates, config)
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}
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}
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#[cfg(test)]
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#[path = "manager_tests.rs"]
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mod tests;
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