1259 lines
46 KiB
Rust
1259 lines
46 KiB
Rust
use warpui::App;
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use super::*;
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use crate::ai::execution_profiles::profiles::AIExecutionProfilesModel;
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use crate::ai::mcp::TemplatableMCPServerManager;
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use crate::auth::auth_manager::AuthManager;
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use crate::auth::AuthStateProvider;
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use crate::cloud_object::model::persistence::CloudModel;
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use crate::network::NetworkStatus;
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use crate::server::cloud_objects::update_manager::UpdateManager;
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use crate::server::server_api::ServerApiProvider;
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use crate::server::sync_queue::SyncQueue;
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use crate::settings::{
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AcpAgentSettings, AcpConfigOptionSettings, AcpConfigValueSettings, AcpProviderConfig,
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BedrockModelConfig, OpenAIModelConfig, OpenAIProviderConfig, OpenAIProviderKind,
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};
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use crate::test_util::settings::initialize_settings_for_tests;
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use crate::workspaces::team_tester::TeamTesterStatus;
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use crate::workspaces::user_workspaces::UserWorkspaces;
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use crate::LaunchMode;
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// -- DisableReason::should_clear_preference tests --
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#[test]
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fn should_clear_preference_admin_disabled() {
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// AdminDisabled always clears, regardless of BYOK status.
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assert!(DisableReason::AdminDisabled.should_clear_preference(false));
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assert!(DisableReason::AdminDisabled.should_clear_preference(true));
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}
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#[test]
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fn should_clear_preference_unavailable() {
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assert!(DisableReason::Unavailable.should_clear_preference(false));
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assert!(DisableReason::Unavailable.should_clear_preference(true));
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}
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#[test]
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fn should_not_clear_preference_out_of_requests() {
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// Transient — never clears.
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assert!(!DisableReason::OutOfRequests.should_clear_preference(false));
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assert!(!DisableReason::OutOfRequests.should_clear_preference(true));
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}
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#[test]
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fn should_not_clear_preference_provider_outage() {
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// Transient — never clears.
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assert!(!DisableReason::ProviderOutage.should_clear_preference(false));
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assert!(!DisableReason::ProviderOutage.should_clear_preference(true));
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}
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#[test]
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fn should_clear_preference_requires_upgrade_without_byok() {
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// No BYOK key → server will reject → clear.
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assert!(DisableReason::RequiresUpgrade.should_clear_preference(false));
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}
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#[test]
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fn should_not_clear_preference_requires_upgrade_with_byok() {
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// BYOK key present → server allows → keep.
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assert!(!DisableReason::RequiresUpgrade.should_clear_preference(true));
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}
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#[test]
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fn llm_info_deserializes_without_base_model_name() {
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let raw = r#"{
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"display_name": "gpt-4o",
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"id": "gpt-4o",
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"usage_metadata": {
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"request_multiplier": 1,
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"credit_multiplier": null
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},
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"description": null,
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"disable_reason": null,
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"vision_supported": false,
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"spec": null,
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"provider": "Unknown"
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}"#;
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let info: LLMInfo = serde_json::from_str(raw).expect("should deserialize");
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assert_eq!(info.display_name, "gpt-4o");
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assert_eq!(info.base_model_name, "gpt-4o");
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}
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#[test]
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fn llm_info_deserializes_host_configs_as_vec() {
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// Wire format from server: host_configs is a Vec
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let raw = r#"{
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"display_name": "gpt-4o",
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"id": "gpt-4o",
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"usage_metadata": { "request_multiplier": 1, "credit_multiplier": null },
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"provider": "OpenAI",
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"host_configs": [
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{ "enabled": true, "model_routing_host": "DirectApi" },
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{ "enabled": false, "model_routing_host": "AwsBedrock" }
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]
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}"#;
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let info: LLMInfo = serde_json::from_str(raw).expect("should deserialize vec format");
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assert_eq!(info.display_name, "gpt-4o");
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assert_eq!(info.host_configs.len(), 2);
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assert!(
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info.host_configs
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.get(&LLMModelHost::DirectApi)
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.unwrap()
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.enabled
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);
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assert!(
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!info
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.host_configs
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.get(&LLMModelHost::AwsBedrock)
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.unwrap()
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.enabled
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);
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}
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#[test]
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fn llm_info_round_trip_serializes_and_deserializes() {
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// Start with wire format (Vec)
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let wire_json = r#"{
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"display_name": "claude-3",
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"base_model_name": "claude-3",
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"id": "claude-3",
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"usage_metadata": { "request_multiplier": 2, "credit_multiplier": 1.5 },
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"description": "A powerful model",
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"vision_supported": true,
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"provider": "Anthropic",
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"host_configs": [
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{ "enabled": true, "model_routing_host": "DirectApi" }
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]
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}"#;
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// Deserialize from wire format
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let info: LLMInfo = serde_json::from_str(wire_json).expect("should deserialize");
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// Serialize (produces HashMap format)
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let serialized = serde_json::to_string(&info).expect("should serialize");
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// Deserialize again (from HashMap format)
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let round_tripped: LLMInfo =
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serde_json::from_str(&serialized).expect("should deserialize after round trip");
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assert_eq!(info, round_tripped);
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}
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fn openai_model(model_id: &str) -> OpenAIModelConfig {
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OpenAIModelConfig {
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model_id: model_id.to_string(),
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display_name: model_id.to_string(),
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vision_supported: false,
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context_size: 200_000,
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max_input_tokens: None,
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default_context_size: None,
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max_output_tokens: None,
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provider: None,
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supports_system_messages: None,
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capability_overrides: std::collections::HashMap::new(),
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reasoning_efforts: Vec::new(),
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enabled: true,
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}
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}
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fn bedrock_model(model_id: &str) -> BedrockModelConfig {
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BedrockModelConfig {
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enabled: true,
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access_verified: true,
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model_id: model_id.to_string(),
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display_name: model_id.to_string(),
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vision_supported: false,
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}
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}
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fn acp_select_option(
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id: &str,
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category: &str,
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current_value: &str,
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values: &[(&str, &str)],
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) -> AcpConfigOptionSettings {
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AcpConfigOptionSettings {
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id: id.to_owned(),
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name: id.to_owned(),
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description: None,
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category: Some(category.to_owned()),
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kind: "select".to_owned(),
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current_value: serde_json::json!(current_value),
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options: values
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.iter()
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.map(|(value, name)| AcpConfigValueSettings {
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value: serde_json::json!(value),
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name: (*name).to_owned(),
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description: None,
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})
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.collect(),
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}
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}
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fn acp_agent(
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id: &str,
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name: &str,
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config_options: Vec<AcpConfigOptionSettings>,
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) -> AcpAgentSettings {
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AcpAgentSettings {
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id: id.to_owned(),
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name: name.to_owned(),
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version: None,
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description: None,
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icon_url: None,
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capabilities: Vec::new(),
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config_options,
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discovery_timestamp: None,
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discovery_source: None,
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discovery_error: None,
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}
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}
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fn empty_preferences() -> LLMPreferences {
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// Production defaults include a UI placeholder; inventory tests start empty.
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let mut models_by_feature = ModelsByFeature::default();
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models_by_feature.agent_mode.choices.clear();
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models_by_feature.coding.choices.clear();
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if let Some(cli) = &mut models_by_feature.cli_agent {
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cli.choices.clear();
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}
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if let Some(computer_use) = &mut models_by_feature.computer_use {
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computer_use.choices.clear();
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}
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LLMPreferences {
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models_by_feature,
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last_update: None,
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base_llm_for_terminal_view: HashMap::new(),
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custom_llms: Vec::new(),
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custom_model_routers: Vec::new(),
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openai_provider_routing: HashMap::new(),
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fetched_openai_models: Vec::new(),
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litellm_connections: Vec::new(),
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catalog_refresh_generations: HashMap::new(),
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chatgpt_subscription_models_refresh_in_flight: false,
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bedrock_models_refresh_in_flight: false,
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bedrock_verified_config: None,
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bedrock_verified_model_ids: HashSet::new(),
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acp_selections: HashMap::new(),
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}
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}
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#[test]
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fn computer_use_picker_includes_vision_models_without_duplicate_entries() {
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App::test((), |mut app| async move {
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initialize_settings_for_tests(&mut app);
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let mut preferences = empty_preferences();
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let auto = default_computer_use_llms().choices[0].clone();
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let mut visual = auto.clone();
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visual.id = "visual-model".into();
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visual.display_name = "Visual model".to_owned();
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visual.vision_supported = true;
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let mut text_only = auto.clone();
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text_only.id = "text-only-model".into();
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text_only.display_name = "Text-only model".to_owned();
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preferences.models_by_feature.agent_mode.choices = vec![visual.clone(), text_only];
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preferences.models_by_feature.computer_use = Some(AvailableLLMs {
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default_id: "computer-use-agent-auto".into(),
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choices: vec![auto, visual],
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preferred_codex_model_id: None,
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});
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app.read(|ctx| {
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let ids = preferences
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.get_computer_use_llm_choices(ctx)
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.map(|info| info.id.as_str())
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.collect::<Vec<_>>();
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assert_eq!(ids, ["computer-use-agent-auto", "visual-model"]);
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});
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});
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}
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#[test]
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fn bedrock_and_openai_provider_models_coexist_in_picker() {
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App::test((), |mut app| async move {
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initialize_settings_for_tests(&mut app);
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AISettings::handle(&app).update(&mut app, |settings, ctx| {
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settings
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.openai_enabled
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.set_value(true, ctx)
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.expect("OpenAI setting should update");
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settings
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.openai_providers
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.set_value(
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vec![OpenAIProviderConfig {
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kind: OpenAIProviderKind::OpenAI,
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enabled: true,
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name: "OpenAI Test".to_owned(),
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base_url: "https://api.openai.test/v1".to_owned(),
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api_key: Some("test-key".to_owned()),
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project_id: None,
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location: None,
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models: vec![openai_model("gpt-test")],
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}],
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ctx,
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)
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.expect("OpenAI providers should update");
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settings
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.bedrock_enabled
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.set_value(true, ctx)
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.expect("Bedrock setting should update");
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settings
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.bedrock_models
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.set_value(vec![bedrock_model("anthropic.claude-test")], ctx)
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.expect("Bedrock models should update");
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});
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let mut preferences = empty_preferences();
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app.read(|ctx| {
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preferences.inject_openai_models(ctx);
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preferences.bedrock_verified_config =
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Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
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preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
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.bedrock_models
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.value()
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.iter()
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.map(|model| model.model_id.clone())
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.collect();
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preferences.inject_bedrock_models(ctx);
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});
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let agent_models = &preferences.models_by_feature.agent_mode.choices;
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assert!(
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agent_models
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.iter()
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.any(|model| model.id.as_str() == "gpt-test"
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&& model.provider == LLMProvider::LiteLLM)
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);
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assert!(agent_models.iter().any(|model| {
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model.id.as_str() == "anthropic.claude-test" && model.provider == LLMProvider::Bedrock
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}));
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assert!(preferences
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.openai_client_config_for_model("gpt-test")
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.is_some());
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let mut preferences = empty_preferences();
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app.read(|ctx| {
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preferences.bedrock_verified_config =
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Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
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preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
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.bedrock_models
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.value()
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.iter()
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.map(|model| model.model_id.clone())
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.collect();
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preferences.inject_bedrock_models(ctx);
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preferences.inject_openai_models(ctx);
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});
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let agent_models = &preferences.models_by_feature.agent_mode.choices;
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assert!(
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agent_models
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.iter()
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.any(|model| model.id.as_str() == "gpt-test"
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&& model.provider == LLMProvider::LiteLLM)
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);
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assert!(agent_models.iter().any(|model| {
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model.id.as_str() == "anthropic.claude-test" && model.provider == LLMProvider::Bedrock
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}));
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assert!(preferences
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.openai_client_config_for_model("gpt-test")
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.is_some());
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});
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}
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#[test]
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fn provider_discovery_preserves_local_model_overrides() {
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let mut existing = openai_model("codex-gpt-5.6-sol-xhigh");
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existing.display_name = "My Codex".to_string();
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existing.context_size = 100_000;
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existing.provider = Some("openai".to_string());
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// Even stale or incorrect endpoint metadata must not opt ChatGPT-backed
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// Codex models back into the system role.
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existing.supports_system_messages = Some(true);
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let mut discovered = openai_model("codex-gpt-5.6-sol-xhigh");
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discovered.display_name = "Codex from endpoint".to_string();
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discovered.context_size = 400_000;
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discovered.max_output_tokens = Some(32_000);
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discovered.supports_system_messages = Some(true);
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let merged = merge_discovered_provider_models(&[existing], vec![discovered]);
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assert_eq!(merged.len(), 1);
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assert_eq!(merged[0].display_name, "My Codex");
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assert_eq!(merged[0].context_size, 400_000);
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assert_eq!(merged[0].max_output_tokens, Some(32_000));
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assert_eq!(merged[0].supports_system_messages, Some(false));
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assert_eq!(merged[0].provider.as_deref(), Some("openai"));
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}
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|
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#[test]
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fn codex_models_reject_system_messages_even_with_stale_true_metadata() {
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let mut model = openai_model("codex-gpt-5.6-sol-xhigh");
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model.supports_system_messages = Some(true);
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assert!(!model.supports_system_messages());
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}
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|
|
#[test]
|
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fn acp_models_are_injected_only_while_acp_is_enabled() {
|
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App::test((), |mut app| async move {
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initialize_settings_for_tests(&mut app);
|
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AISettings::handle(&app).update(&mut app, |settings, ctx| {
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settings
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.acp_enabled
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.set_value(true, ctx)
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.expect("ACP setting should update");
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settings
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.acp_agents
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.set_value(
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vec![AcpAgentSettings {
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id: "codex".to_owned(),
|
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name: "Codex".to_owned(),
|
|
version: None,
|
|
description: None,
|
|
icon_url: None,
|
|
capabilities: Vec::new(),
|
|
config_options: vec![AcpConfigOptionSettings {
|
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id: "model".to_owned(),
|
|
name: "Model".to_owned(),
|
|
description: None,
|
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category: Some("model".to_owned()),
|
|
kind: "select".to_owned(),
|
|
current_value: serde_json::json!("gpt-test"),
|
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options: vec![AcpConfigValueSettings {
|
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value: serde_json::json!("gpt-test"),
|
|
name: "GPT Test".to_owned(),
|
|
description: None,
|
|
}],
|
|
}],
|
|
discovery_timestamp: None,
|
|
discovery_source: None,
|
|
discovery_error: None,
|
|
}],
|
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ctx,
|
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)
|
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.expect("ACP agents should update");
|
|
});
|
|
|
|
let mut preferences = LLMPreferences {
|
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models_by_feature: ModelsByFeature::default(),
|
|
last_update: None,
|
|
base_llm_for_terminal_view: HashMap::new(),
|
|
custom_llms: Vec::new(),
|
|
custom_model_routers: Vec::new(),
|
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openai_provider_routing: HashMap::new(),
|
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fetched_openai_models: Vec::new(),
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litellm_connections: Vec::new(),
|
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catalog_refresh_generations: HashMap::new(),
|
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chatgpt_subscription_models_refresh_in_flight: false,
|
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bedrock_models_refresh_in_flight: false,
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bedrock_verified_config: None,
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bedrock_verified_model_ids: HashSet::new(),
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acp_selections: HashMap::new(),
|
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};
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app.read(|ctx| preferences.inject_acp_models(ctx));
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app.read(|ctx| preferences.inject_acp_models(ctx));
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|
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assert_eq!(preferences.acp_selections.len(), 1);
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assert_eq!(
|
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preferences
|
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.models_by_feature
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.agent_mode
|
|
.choices
|
|
.iter()
|
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.filter(|model| model.id.as_str().starts_with("acp:"))
|
|
.count(),
|
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1
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);
|
|
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.acp_enabled
|
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.set_value(false, ctx)
|
|
.expect("ACP setting should update");
|
|
});
|
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app.read(|ctx| preferences.inject_acp_models(ctx));
|
|
|
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assert!(preferences.acp_selections.is_empty());
|
|
assert!(preferences
|
|
.models_by_feature
|
|
.agent_mode
|
|
.choices
|
|
.iter()
|
|
.all(|model| !model.id.as_str().starts_with("acp:")));
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn acp_is_selectable_before_protocol_model_discovery_completes() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.acp_enabled
|
|
.set_value(true, ctx)
|
|
.expect("ACP setting should update");
|
|
settings
|
|
.acp_agent_id
|
|
.set_value("opencode".to_owned(), ctx)
|
|
.expect("ACP agent should update");
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(false, ctx)
|
|
.expect("Bedrock setting should update");
|
|
settings
|
|
.acp_agents
|
|
.set_value(Vec::new(), ctx)
|
|
.expect("ACP discovery cache should update");
|
|
});
|
|
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| {
|
|
preferences.bedrock_verified_config =
|
|
Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
|
|
preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
|
|
.bedrock_models
|
|
.value()
|
|
.iter()
|
|
.map(|model| model.model_id.clone())
|
|
.collect();
|
|
preferences.inject_bedrock_models(ctx);
|
|
preferences.inject_acp_models(ctx);
|
|
});
|
|
|
|
let models = &preferences.models_by_feature.agent_mode.choices;
|
|
assert_eq!(models.len(), 1);
|
|
assert_eq!(models[0].display_name, "OpenCode");
|
|
assert_eq!(models[0].provider, LLMProvider::Acp);
|
|
assert_eq!(
|
|
preferences
|
|
.acp_selections
|
|
.get(&models[0].id)
|
|
.map(|selection| selection.agent_id.as_str()),
|
|
Some("opencode")
|
|
);
|
|
assert!(preferences.has_any_provider_models());
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn acp_models_expand_reasoning_levels_for_only_the_configured_agent() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.acp_enabled
|
|
.set_value(true, ctx)
|
|
.expect("ACP setting should update");
|
|
settings
|
|
.acp_agent_id
|
|
.set_value("opencode".to_owned(), ctx)
|
|
.expect("ACP agent should update");
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(false, ctx)
|
|
.expect("Bedrock setting should update");
|
|
settings
|
|
.acp_agents
|
|
.set_value(
|
|
vec![
|
|
acp_agent(
|
|
"codex",
|
|
"Codex",
|
|
vec![acp_select_option(
|
|
"model",
|
|
"model",
|
|
"stale-model",
|
|
&[("stale-model", "Stale Model")],
|
|
)],
|
|
),
|
|
acp_agent(
|
|
"opencode",
|
|
"OpenCode",
|
|
vec![
|
|
acp_select_option(
|
|
"model",
|
|
"model",
|
|
"gpt-test",
|
|
&[("gpt-test", "GPT Test")],
|
|
),
|
|
acp_select_option(
|
|
"mode",
|
|
"mode",
|
|
"read-only",
|
|
&[("read-only", "Read-only")],
|
|
),
|
|
acp_select_option(
|
|
"thought_level",
|
|
"thought_level",
|
|
"xhigh",
|
|
&[("high", "High"), ("xhigh", "Xhigh")],
|
|
),
|
|
],
|
|
),
|
|
],
|
|
ctx,
|
|
)
|
|
.expect("ACP agents should update");
|
|
});
|
|
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| {
|
|
preferences.bedrock_verified_config =
|
|
Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
|
|
preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
|
|
.bedrock_models
|
|
.value()
|
|
.iter()
|
|
.map(|model| model.model_id.clone())
|
|
.collect();
|
|
preferences.inject_bedrock_models(ctx);
|
|
preferences.inject_acp_models(ctx);
|
|
});
|
|
|
|
let models = &preferences.models_by_feature.agent_mode.choices;
|
|
assert_eq!(models.len(), 2);
|
|
assert_eq!(
|
|
models
|
|
.iter()
|
|
.map(|model| model.display_name.as_str())
|
|
.collect::<HashSet<_>>(),
|
|
HashSet::from(["GPT Test (High) · OpenCode", "GPT Test (Xhigh) · OpenCode"])
|
|
);
|
|
assert!(models.iter().all(|model| {
|
|
model.provider == LLMProvider::Acp && !model.display_name.contains("Read-only")
|
|
}));
|
|
assert!(preferences.acp_selections.values().all(|selection| {
|
|
selection.agent_id == "opencode"
|
|
&& selection.config_values.get("mode") == Some(&serde_json::json!("read-only"))
|
|
}));
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn acp_models_are_scoped_to_each_configured_provider() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
let config_options = vec![acp_select_option(
|
|
"model",
|
|
"model",
|
|
"gpt-test",
|
|
&[("gpt-test", "GPT Test")],
|
|
)];
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.acp_enabled
|
|
.set_value(true, ctx)
|
|
.expect("ACP setting should update");
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(false, ctx)
|
|
.expect("Bedrock setting should update");
|
|
settings
|
|
.acp_providers
|
|
.set_value(
|
|
vec![
|
|
AcpProviderConfig {
|
|
id: "work".to_owned(),
|
|
enabled: true,
|
|
name: "Codex Work".to_owned(),
|
|
agent_id: "codex".to_owned(),
|
|
command: String::new(),
|
|
args: Vec::new(),
|
|
config_options: config_options.clone(),
|
|
},
|
|
AcpProviderConfig {
|
|
id: "personal".to_owned(),
|
|
enabled: true,
|
|
name: "Codex Personal".to_owned(),
|
|
agent_id: "codex".to_owned(),
|
|
command: String::new(),
|
|
args: Vec::new(),
|
|
config_options,
|
|
},
|
|
],
|
|
ctx,
|
|
)
|
|
.expect("ACP providers should update");
|
|
});
|
|
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| preferences.inject_acp_models(ctx));
|
|
|
|
let models = preferences
|
|
.models_by_feature
|
|
.agent_mode
|
|
.choices
|
|
.iter()
|
|
.filter(|model| model.provider == LLMProvider::Acp)
|
|
.collect::<Vec<_>>();
|
|
assert_eq!(models.len(), 2);
|
|
assert_eq!(
|
|
models
|
|
.iter()
|
|
.map(|model| model.display_name.as_str())
|
|
.collect::<HashSet<_>>(),
|
|
HashSet::from(["GPT Test · Codex Work", "GPT Test · Codex Personal"])
|
|
);
|
|
assert_eq!(
|
|
preferences
|
|
.acp_selections
|
|
.values()
|
|
.map(|selection| selection.provider_id.as_str())
|
|
.collect::<HashSet<_>>(),
|
|
HashSet::from(["work", "personal"])
|
|
);
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn acp_bedrock_models_are_hidden_while_bedrock_is_disabled() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.acp_enabled
|
|
.set_value(true, ctx)
|
|
.expect("ACP setting should update");
|
|
settings
|
|
.acp_agent_id
|
|
.set_value("opencode".to_owned(), ctx)
|
|
.expect("ACP agent should update");
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(false, ctx)
|
|
.expect("Bedrock setting should update");
|
|
settings
|
|
.acp_agents
|
|
.set_value(
|
|
vec![acp_agent(
|
|
"opencode",
|
|
"OpenCode",
|
|
vec![acp_select_option(
|
|
"model",
|
|
"model",
|
|
"openai/gpt-test",
|
|
&[
|
|
("amazon-bedrock/claude-test", "Bedrock Claude"),
|
|
("openai/gpt-test", "GPT Test"),
|
|
],
|
|
)],
|
|
)],
|
|
ctx,
|
|
)
|
|
.expect("ACP agents should update");
|
|
});
|
|
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| {
|
|
preferences.bedrock_verified_config =
|
|
Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
|
|
preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
|
|
.bedrock_models
|
|
.value()
|
|
.iter()
|
|
.map(|model| model.model_id.clone())
|
|
.collect();
|
|
preferences.inject_bedrock_models(ctx);
|
|
preferences.inject_acp_models(ctx);
|
|
});
|
|
assert_eq!(preferences.models_by_feature.agent_mode.choices.len(), 1);
|
|
assert_eq!(
|
|
preferences.models_by_feature.agent_mode.choices[0].display_name,
|
|
"GPT Test · OpenCode"
|
|
);
|
|
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(true, ctx)
|
|
.expect("Bedrock setting should update");
|
|
});
|
|
app.read(|ctx| preferences.inject_acp_models(ctx));
|
|
assert_eq!(preferences.models_by_feature.agent_mode.choices.len(), 2);
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn disabled_providers_do_not_leave_models_in_the_runtime_inventory() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings
|
|
.bedrock_enabled
|
|
.set_value(false, ctx)
|
|
.expect("Bedrock setting should update");
|
|
settings
|
|
.openai_enabled
|
|
.set_value(false, ctx)
|
|
.expect("OpenAI setting should update");
|
|
settings
|
|
.acp_enabled
|
|
.set_value(false, ctx)
|
|
.expect("ACP setting should update");
|
|
});
|
|
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| {
|
|
preferences.bedrock_verified_config =
|
|
Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
|
|
preferences.bedrock_verified_model_ids = AISettings::as_ref(ctx)
|
|
.bedrock_models
|
|
.value()
|
|
.iter()
|
|
.map(|model| model.model_id.clone())
|
|
.collect();
|
|
preferences.inject_bedrock_models(ctx);
|
|
preferences.inject_openai_models(ctx);
|
|
});
|
|
|
|
assert!(preferences.models_by_feature.agent_mode.choices.is_empty());
|
|
assert!(preferences.models_by_feature.coding.choices.is_empty());
|
|
assert!(preferences
|
|
.models_by_feature
|
|
.cli_agent
|
|
.as_ref()
|
|
.is_none_or(|models| models.choices.is_empty()));
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn provider_discovery_keeps_new_and_manual_models() {
|
|
let manual = openai_model("manual-model");
|
|
let discovered = openai_model("codex-gpt-new");
|
|
|
|
let merged = merge_discovered_provider_models(&[manual], vec![discovered]);
|
|
|
|
assert_eq!(merged.len(), 2);
|
|
assert_eq!(merged[0].model_id, "codex-gpt-new");
|
|
assert_eq!(merged[0].supports_system_messages, Some(false));
|
|
assert_eq!(merged[1].model_id, "manual-model");
|
|
}
|
|
|
|
#[test]
|
|
fn codex_release_json_yields_client_version() {
|
|
let release = serde_json::json!({
|
|
"tag_name": "rust-v0.147.0",
|
|
"name": "0.147.0"
|
|
});
|
|
|
|
assert_eq!(
|
|
codex_client_version_from_release_json(&release).as_deref(),
|
|
Some("0.147.0")
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn chatgpt_codex_models_parse_visible_catalog_entries() {
|
|
let body = serde_json::json!({
|
|
"models": [
|
|
{
|
|
"slug": "gpt-5.6-sol",
|
|
"display_name": "GPT-5.6-Sol",
|
|
"visibility": "list",
|
|
"context_window": 272000,
|
|
"max_context_window": 872000,
|
|
"effective_context_window_percent": 95,
|
|
"input_modalities": ["text", "image"],
|
|
"supported_reasoning_levels": [
|
|
{"effort": "low", "description": "Fast"},
|
|
{"effort": "xhigh", "description": "Deep"},
|
|
{"effort": "ultra", "description": "Delegated"}
|
|
]
|
|
},
|
|
{
|
|
"slug": "hidden",
|
|
"display_name": "Hidden",
|
|
"visibility": "hide",
|
|
"context_window": 128000,
|
|
"input_modalities": ["text"],
|
|
"supported_reasoning_levels": []
|
|
},
|
|
{
|
|
"slug": "gpt-text-only",
|
|
"display_name": "GPT Text Only",
|
|
"visibility": "list",
|
|
"max_context_window": 128000,
|
|
"effective_context_window_percent": 90,
|
|
"input_modalities": ["text"],
|
|
"supported_reasoning_levels": [{"effort": "medium"}]
|
|
}
|
|
]
|
|
});
|
|
|
|
let models = chatgpt_models_from_codex_response(&body);
|
|
|
|
assert_eq!(models.len(), 2);
|
|
assert_eq!(models[0].model_id, "gpt-5.6-sol");
|
|
assert_eq!(models[0].display_name, "GPT-5.6-Sol");
|
|
assert!(models[0].vision_supported);
|
|
assert_eq!(models[0].context_size, 258_400);
|
|
assert_eq!(models[0].max_input_tokens, None);
|
|
assert_eq!(models[0].default_context_size, Some(258_400));
|
|
assert_eq!(models[0].reasoning_efforts, ["low", "xhigh", "ultra"]);
|
|
assert_eq!(models[0].provider.as_deref(), Some("openai"));
|
|
assert_eq!(models[0].supports_system_messages, Some(true));
|
|
|
|
assert_eq!(models[1].model_id, "gpt-text-only");
|
|
assert!(!models[1].vision_supported);
|
|
assert_eq!(models[1].context_size, 115_200);
|
|
assert_eq!(models[1].max_input_tokens, None);
|
|
assert_eq!(models[1].default_context_size, Some(115_200));
|
|
|
|
let configurable = openai_model_context_window(
|
|
&models[0],
|
|
crate::settings::OpenAIProviderKind::ChatGPTSubscription,
|
|
);
|
|
assert!(!configurable.is_configurable);
|
|
assert_eq!(configurable.min, 258_400);
|
|
assert_eq!(configurable.default_max, 258_400);
|
|
assert_eq!(configurable.max, 258_400);
|
|
|
|
let fixed =
|
|
openai_model_context_window(&models[0], crate::settings::OpenAIProviderKind::LiteLLM);
|
|
assert!(!fixed.is_configurable);
|
|
assert_eq!(fixed.min, 258_400);
|
|
assert_eq!(fixed.default_max, 258_400);
|
|
assert_eq!(fixed.max, 258_400);
|
|
}
|
|
|
|
#[test]
|
|
fn chatgpt_catalog_merge_drops_stale_models_but_preserves_overrides() {
|
|
let mut existing = openai_model("gpt-5.6-sol");
|
|
existing.enabled = false;
|
|
existing.context_size = 272_000;
|
|
existing.max_input_tokens = Some(272_000);
|
|
existing.capability_overrides.insert(
|
|
"vision".to_string(),
|
|
crate::settings::ModelCapabilityOverride::Unsupported,
|
|
);
|
|
let stale = openai_model("stale-model");
|
|
|
|
let mut discovered = openai_model("gpt-5.6-sol");
|
|
discovered.display_name = "GPT-5.6-Sol".to_string();
|
|
discovered.vision_supported = true;
|
|
discovered.context_size = 828_400;
|
|
discovered.default_context_size = Some(258_400);
|
|
|
|
let merged = merge_discovered_chatgpt_subscription_models(&[existing, stale], vec![discovered]);
|
|
|
|
assert_eq!(merged.len(), 1);
|
|
assert_eq!(merged[0].model_id, "gpt-5.6-sol");
|
|
assert_eq!(merged[0].context_size, 828_400);
|
|
assert_eq!(merged[0].max_input_tokens, None);
|
|
assert_eq!(merged[0].default_context_size, Some(258_400));
|
|
assert!(!merged[0].enabled);
|
|
assert_eq!(
|
|
merged[0].capability_override("vision"),
|
|
crate::settings::ModelCapabilityOverride::Unsupported
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn provider_context_budget_respects_hard_input_and_total_limits() {
|
|
let mut model = openai_model("limited-model");
|
|
model.context_size = 872_000;
|
|
model.max_input_tokens = Some(272_000);
|
|
let window = openai_model_context_window(&model, OpenAIProviderKind::LiteLLM);
|
|
assert_eq!(window.max, 272_000);
|
|
assert_eq!(window.default_max, 272_000);
|
|
assert!(!window.is_configurable);
|
|
|
|
model.max_input_tokens = Some(1_000_000);
|
|
assert_eq!(
|
|
openai_model_context_size(&model, OpenAIProviderKind::LiteLLM),
|
|
872_000
|
|
);
|
|
|
|
model.default_context_size = Some(272_000);
|
|
model.max_input_tokens = Some(400_000);
|
|
let window = openai_model_context_window(&model, OpenAIProviderKind::ChatGPTSubscription);
|
|
assert_eq!(window.min, 272_000);
|
|
assert_eq!(window.max, 272_000);
|
|
assert_eq!(
|
|
openai_model_context_size(&model, OpenAIProviderKind::ChatGPTSubscription),
|
|
window.max
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn legacy_chatgpt_default_limits_routing() {
|
|
let mut model = openai_model("legacy-model");
|
|
model.context_size = 872_000;
|
|
model.max_input_tokens = Some(272_000);
|
|
let window = openai_model_context_window(&model, OpenAIProviderKind::ChatGPTSubscription);
|
|
assert_eq!(window.min, 272_000);
|
|
assert_eq!(window.max, 272_000);
|
|
assert_eq!(window.default_max, 272_000);
|
|
assert!(!window.is_configurable);
|
|
assert_eq!(
|
|
openai_model_context_size(&model, OpenAIProviderKind::ChatGPTSubscription),
|
|
window.max
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn subscription_and_litellm_connections_keep_overlapping_models_and_independent_toggles() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings.openai_enabled.set_value(true, ctx).unwrap();
|
|
settings
|
|
.openai_base_url
|
|
.set_value("https://legacy.test/v1".to_owned(), ctx)
|
|
.unwrap();
|
|
settings
|
|
.openai_models
|
|
.set_value(vec![openai_model("legacy-only")], ctx)
|
|
.unwrap();
|
|
settings
|
|
.openai_providers
|
|
.set_value(
|
|
vec![
|
|
OpenAIProviderConfig {
|
|
kind: OpenAIProviderKind::ChatGPTSubscription,
|
|
enabled: true,
|
|
name: "Subscription".to_owned(),
|
|
base_url: String::new(),
|
|
api_key: None,
|
|
project_id: None,
|
|
location: None,
|
|
models: vec![openai_model("shared-model")],
|
|
},
|
|
OpenAIProviderConfig {
|
|
kind: OpenAIProviderKind::LiteLLM,
|
|
enabled: true,
|
|
name: "LiteLLM".to_owned(),
|
|
base_url: "https://proxy.test/v1".to_owned(),
|
|
api_key: None,
|
|
project_id: None,
|
|
location: None,
|
|
models: vec![openai_model("shared-model")],
|
|
},
|
|
],
|
|
ctx,
|
|
)
|
|
.unwrap();
|
|
});
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| preferences.inject_openai_models(ctx));
|
|
let models = &preferences.models_by_feature.agent_mode.choices;
|
|
assert_eq!(models.len(), 3);
|
|
for (label, kind) in [
|
|
("Subscription", OpenAIProviderKind::ChatGPTSubscription),
|
|
("LiteLLM", OpenAIProviderKind::LiteLLM),
|
|
] {
|
|
let model = models
|
|
.iter()
|
|
.find(|model| model.description.as_deref() == Some(label))
|
|
.unwrap();
|
|
let route = preferences
|
|
.openai_client_config_for_model(model.id.as_str())
|
|
.unwrap();
|
|
assert_eq!(route.kind, kind);
|
|
assert_eq!(route.model.as_deref(), Some("shared-model"));
|
|
}
|
|
assert!(models
|
|
.iter()
|
|
.any(|model| model.id.as_str() == "legacy-only"));
|
|
let litellm_id = models
|
|
.iter()
|
|
.find(|model| model.description.as_deref() == Some("LiteLLM"))
|
|
.unwrap()
|
|
.id
|
|
.clone();
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
let mut providers = settings.openai_providers.value().clone();
|
|
providers[0].models[0].enabled = false;
|
|
settings.openai_providers.set_value(providers, ctx).unwrap();
|
|
});
|
|
app.read(|ctx| preferences.inject_openai_models(ctx));
|
|
let models = &preferences.models_by_feature.agent_mode.choices;
|
|
assert_eq!(models.len(), 2);
|
|
assert!(models
|
|
.iter()
|
|
.all(|model| model.description.as_deref() != Some("Subscription")));
|
|
assert!(models
|
|
.iter()
|
|
.any(|model| model.description.as_deref() == Some("LiteLLM")));
|
|
assert!(models.iter().any(|model| model.id == litellm_id));
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn provider_registry_overrides_legacy_endpoint_for_duplicate_models() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
AISettings::handle(&app).update(&mut app, |settings, ctx| {
|
|
settings.openai_enabled.set_value(true, ctx).unwrap();
|
|
settings
|
|
.openai_base_url
|
|
.set_value("https://stale.test/v1".to_owned(), ctx)
|
|
.unwrap();
|
|
settings
|
|
.openai_models
|
|
.set_value(vec![openai_model("shared-model")], ctx)
|
|
.unwrap();
|
|
settings
|
|
.openai_providers
|
|
.set_value(
|
|
vec![OpenAIProviderConfig {
|
|
kind: OpenAIProviderKind::LiteLLM,
|
|
enabled: true,
|
|
name: "Current LiteLLM".to_owned(),
|
|
base_url: "https://current.test/v1".to_owned(),
|
|
api_key: Some("current-key".to_owned()),
|
|
project_id: None,
|
|
location: None,
|
|
models: vec![openai_model("shared-model")],
|
|
}],
|
|
ctx,
|
|
)
|
|
.unwrap();
|
|
});
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| preferences.inject_openai_models(ctx));
|
|
let config = preferences
|
|
.openai_client_config_for_model("shared-model")
|
|
.unwrap();
|
|
assert_eq!(config.base_url, "https://current.test/v1");
|
|
assert_eq!(config.api_key.as_deref(), Some("current-key"));
|
|
});
|
|
}
|
|
|
|
#[test]
|
|
fn chatgpt_default_window_limits_routing_without_a_separate_input_limit() {
|
|
let mut model = openai_model("subscription-model");
|
|
model.context_size = 872_000;
|
|
model.default_context_size = Some(272_000);
|
|
model.max_input_tokens = None;
|
|
let window = openai_model_context_window(&model, OpenAIProviderKind::ChatGPTSubscription);
|
|
assert_eq!(window.default_max, 272_000);
|
|
assert_eq!(window.max, 272_000);
|
|
assert!(!window.is_configurable);
|
|
assert_eq!(
|
|
openai_model_context_size(&model, OpenAIProviderKind::ChatGPTSubscription),
|
|
272_000
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn litellm_refresh_replaces_membership_and_preserves_preferences() {
|
|
let mut retained = openai_model("retained");
|
|
retained.enabled = false;
|
|
retained.display_name = "My model".to_string();
|
|
retained.capability_overrides.insert(
|
|
"vision".to_string(),
|
|
crate::settings::ModelCapabilityOverride::Unsupported,
|
|
);
|
|
let removed = openai_model("removed");
|
|
let mut updated = openai_model("retained");
|
|
updated.context_size = 300_000;
|
|
let models = replace_litellm_catalog(&[retained, removed], vec![updated, openai_model("new")]);
|
|
assert_eq!(models.len(), 2);
|
|
assert_eq!(models[0].model_id, "retained");
|
|
assert_eq!(models[0].context_size, 300_000);
|
|
assert_eq!(models[0].display_name, "My model");
|
|
assert!(!models[0].enabled);
|
|
assert_eq!(
|
|
models[0].capability_override("vision"),
|
|
crate::settings::ModelCapabilityOverride::Unsupported
|
|
);
|
|
assert_eq!(models[1].model_id, "new");
|
|
assert!(replace_litellm_catalog(&models, vec![]).is_empty());
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn litellm_models_endpoint_owns_membership_even_with_extra_metadata_models() {
|
|
let mut server = mockito::Server::new_async().await;
|
|
let catalog = server
|
|
.mock("GET", "/models")
|
|
.with_status(200)
|
|
.with_header("content-type", "application/json")
|
|
.with_body(r#"{"data":[{"id":"current"}]}"#)
|
|
.create_async()
|
|
.await;
|
|
let metadata = server.mock("GET", "/model/info")
|
|
.with_status(200).with_header("content-type", "application/json")
|
|
.with_body(r#"{"data":[{"model_name":"removed","model_info":{"max_input_tokens":100000}},{"model_name":"current","model_info":{"max_input_tokens":128000}}]}"#)
|
|
.create_async().await;
|
|
let models = fetch_litellm_catalog(&server.url(), None, &reqwest::Client::new())
|
|
.await
|
|
.unwrap();
|
|
assert_eq!(models.len(), 1);
|
|
assert_eq!(models[0].model_id, "current");
|
|
catalog.assert_async().await;
|
|
metadata.assert_async().await;
|
|
}
|
|
|
|
#[tokio::test]
|
|
async fn model_refresh_distinguishes_empty_catalog_from_failure() {
|
|
let mut server = mockito::Server::new_async().await;
|
|
for (status, body, succeeds) in [
|
|
(200, r#"{"data":[]}"#, true),
|
|
(200, r#"{"error":"unavailable"}"#, false),
|
|
(200, r#"{"data":[{}]}"#, false),
|
|
(401, r#"{"error":"unauthorized"}"#, false),
|
|
] {
|
|
let response = server
|
|
.mock("GET", "/models")
|
|
.with_status(status)
|
|
.with_header("content-type", "application/json")
|
|
.with_body(body)
|
|
.create_async()
|
|
.await;
|
|
let result = fetch_litellm_catalog(&server.url(), None, &reqwest::Client::new()).await;
|
|
assert_eq!(result.is_ok(), succeeds);
|
|
if let Ok(models) = result {
|
|
assert!(models.is_empty());
|
|
}
|
|
response.assert_async().await;
|
|
response.remove_async().await;
|
|
}
|
|
}
|
|
|
|
#[test]
|
|
fn bedrock_verification_survives_settings_reload_but_not_connection_changes() {
|
|
App::test((), |mut app| async move {
|
|
initialize_settings_for_tests(&mut app);
|
|
let model = bedrock_model("anthropic.claude-test");
|
|
let reloaded: BedrockModelConfig =
|
|
serde_json::from_value(serde_json::to_value(&model).unwrap()).unwrap();
|
|
assert!(!reloaded.access_verified);
|
|
let mut preferences = empty_preferences();
|
|
app.read(|ctx| {
|
|
preferences.bedrock_verified_config =
|
|
Some(super::bedrock_discovery_config(AISettings::as_ref(ctx)));
|
|
preferences
|
|
.bedrock_verified_model_ids
|
|
.insert(model.model_id.clone());
|
|
});
|
|
app.update(|ctx| {
|
|
AISettings::handle(ctx).update(ctx, |settings, ctx| {
|
|
settings
|
|
.bedrock_models
|
|
.set_value(vec![reloaded], ctx)
|
|
.unwrap();
|
|
})
|
|
});
|
|
app.read(|ctx| assert!(preferences.bedrock_model_is_verified(&model.model_id, ctx)));
|
|
// Another process/startup cannot inherit an in-memory approval.
|
|
app.read(|ctx| {
|
|
assert!(!empty_preferences().bedrock_model_is_verified(&model.model_id, ctx))
|
|
});
|
|
app.update(|ctx| {
|
|
AISettings::handle(ctx).update(ctx, |settings, ctx| {
|
|
settings
|
|
.bedrock_region
|
|
.set_value("different-region".to_owned(), ctx)
|
|
.unwrap();
|
|
})
|
|
});
|
|
app.read(|ctx| assert!(!preferences.bedrock_model_is_verified(&model.model_id, ctx)));
|
|
});
|
|
}
|