use anyhow::{Context as _, Result};use collections::BTreeMap;use credentials_provider::CredentialsProvider;use futures::{FutureExt, StreamExt, future::BoxFuture};pub use google_ai::completion::{GoogleEventMapper, count_google_tokens, into_google};use google_ai::{GenerateContentResponse, GoogleModelMode};use gpui::{AnyView, App, AsyncApp, Context, Entity, SharedString, Task, Window};use http_client::HttpClient;use language_model::{    AuthenticateError, ConfigurationViewTargetAgent, EnvVar, LanguageModelCompletionError,    LanguageModelCompletionEvent, LanguageModelToolChoice, LanguageModelToolSchemaFormat,};use language_model::{    GOOGLE_PROVIDER_ID, GOOGLE_PROVIDER_NAME, IconOrSvg, LanguageModel, LanguageModelId,    LanguageModelName, LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,    LanguageModelProviderState, LanguageModelRequest, RateLimiter,};use schemars::JsonSchema;use serde::{Deserialize, Serialize};pub use settings::GoogleAvailableModel as AvailableModel;use settings::{Settings, SettingsStore};use std::sync::{Arc, LazyLock};use strum::IntoEnumIterator;use ui::{ButtonLink, ConfiguredApiCard, List, ListBulletItem, prelude::*};use ui_input::InputField;use util::ResultExt; use language_model::ApiKeyState; const PROVIDER_ID: LanguageModelProviderId = GOOGLE_PROVIDER_ID;const PROVIDER_NAME: LanguageModelProviderName = GOOGLE_PROVIDER_NAME; #[derive(Default, Clone, Debug, PartialEq)]pub struct GoogleSettings {    pub api_url: String,    pub available_models: Vec<AvailableModel>,} #[derive(Clone, Copy, Debug, Default, PartialEq, Serialize, Deserialize, JsonSchema)]#[serde(tag = "type", rename_all = "lowercase")]pub enum ModelMode {    #[default]    Default,    Thinking {        /// The maximum number of tokens to use for reasoning. Must be lower than the model's `max_output_tokens`.        budget_tokens: Option<u32>,    },} pub struct GoogleLanguageModelProvider {    http_client: Arc<dyn HttpClient>,    state: Entity<State>,} pub struct State {    api_key_state: ApiKeyState,    credentials_provider: Arc<dyn CredentialsProvider>,} const GEMINI_API_KEY_VAR_NAME: &str = "GEMINI_API_KEY";const GOOGLE_AI_API_KEY_VAR_NAME: &str = "GOOGLE_AI_API_KEY"; static API_KEY_ENV_VAR: LazyLock<EnvVar> = LazyLock::new(|| {    // Try GEMINI_API_KEY first as primary, fallback to GOOGLE_AI_API_KEY    EnvVar::new(GEMINI_API_KEY_VAR_NAME.into()).or(EnvVar::new(GOOGLE_AI_API_KEY_VAR_NAME.into()))}); impl State {    fn is_authenticated(&self) -> bool {        self.api_key_state.has_key()    }     fn set_api_key(&mut self, api_key: Option<String>, cx: &mut Context<Self>) -> Task<Result<()>> {        let credentials_provider = self.credentials_provider.clone();        let api_url = GoogleLanguageModelProvider::api_url(cx);        self.api_key_state.store(            api_url,            api_key,            |this| &mut this.api_key_state,            credentials_provider,            cx,        )    }     fn authenticate(&mut self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {        let credentials_provider = self.credentials_provider.clone();        let api_url = GoogleLanguageModelProvider::api_url(cx);        self.api_key_state.load_if_needed(            api_url,            |this| &mut this.api_key_state,            credentials_provider,            cx,        )    }} impl GoogleLanguageModelProvider {    pub fn new(        http_client: Arc<dyn HttpClient>,        credentials_provider: Arc<dyn CredentialsProvider>,        cx: &mut App,    ) -> Self {        let state = cx.new(|cx| {            cx.observe_global::<SettingsStore>(|this: &mut State, cx| {                let credentials_provider = this.credentials_provider.clone();                let api_url = Self::api_url(cx);                this.api_key_state.handle_url_change(                    api_url,                    |this| &mut this.api_key_state,                    credentials_provider,                    cx,                );                cx.notify();            })            .detach();            State {                api_key_state: ApiKeyState::new(Self::api_url(cx), (*API_KEY_ENV_VAR).clone()),                credentials_provider,            }        });         Self { http_client, state }    }     fn create_language_model(&self, model: google_ai::Model) -> Arc<dyn LanguageModel> {        Arc::new(GoogleLanguageModel {            id: LanguageModelId::from(model.id().to_string()),            model,            state: self.state.clone(),            http_client: self.http_client.clone(),            request_limiter: RateLimiter::new(4),        })    }     fn settings(cx: &App) -> &GoogleSettings {        &crate::AllLanguageModelSettings::get_global(cx).google    }     fn api_url(cx: &App) -> SharedString {        let api_url = &Self::settings(cx).api_url;        if api_url.is_empty() {            google_ai::API_URL.into()        } else {            SharedString::new(api_url.as_str())        }    }} impl LanguageModelProviderState for GoogleLanguageModelProvider {    type ObservableEntity = State;     fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {        Some(self.state.clone())    }} impl LanguageModelProvider for GoogleLanguageModelProvider {    fn id(&self) -> LanguageModelProviderId {        PROVIDER_ID    }     fn name(&self) -> LanguageModelProviderName {        PROVIDER_NAME    }     fn icon(&self) -> IconOrSvg {        IconOrSvg::Icon(IconName::AiGoogle)    }     fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(google_ai::Model::default()))    }     fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(google_ai::Model::default_fast()))    }     fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {        let mut models = BTreeMap::default();         // Add base models from google_ai::Model::iter()        for model in google_ai::Model::iter() {            if !matches!(model, google_ai::Model::Custom { .. }) {                models.insert(model.id().to_string(), model);            }        }         // Override with available models from settings        for model in &GoogleLanguageModelProvider::settings(cx).available_models {            models.insert(                model.name.clone(),                google_ai::Model::Custom {                    name: model.name.clone(),                    display_name: model.display_name.clone(),                    max_tokens: model.max_tokens,                    mode: model.mode.unwrap_or_default(),                },            );        }         models            .into_values()            .map(|model| {                Arc::new(GoogleLanguageModel {                    id: LanguageModelId::from(model.id().to_string()),                    model,                    state: self.state.clone(),                    http_client: self.http_client.clone(),                    request_limiter: RateLimiter::new(4),                }) as Arc<dyn LanguageModel>            })            .collect()    }     fn is_authenticated(&self, cx: &App) -> bool {        self.state.read(cx).is_authenticated()    }     fn authenticate(&self, cx: &mut App) -> Task<Result<(), AuthenticateError>> {        self.state.update(cx, |state, cx| state.authenticate(cx))    }     fn configuration_view(        &self,        target_agent: language_model::ConfigurationViewTargetAgent,        window: &mut Window,        cx: &mut App,    ) -> AnyView {        cx.new(|cx| ConfigurationView::new(self.state.clone(), target_agent, window, cx))            .into()    }     fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {        self.state            .update(cx, |state, cx| state.set_api_key(None, cx))    }} pub struct GoogleLanguageModel {    id: LanguageModelId,    model: google_ai::Model,    state: Entity<State>,    http_client: Arc<dyn HttpClient>,    request_limiter: RateLimiter,} impl GoogleLanguageModel {    fn stream_completion(        &self,        request: google_ai::GenerateContentRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<futures::stream::BoxStream<'static, Result<GenerateContentResponse>>>,    > {        let http_client = self.http_client.clone();         let (api_key, api_url) = self.state.read_with(cx, |state, cx| {            let api_url = GoogleLanguageModelProvider::api_url(cx);            (state.api_key_state.key(&api_url), api_url)        });         async move {            let api_key = api_key.context("Missing Google API key")?;            let request = google_ai::stream_generate_content(                http_client.as_ref(),                &api_url,                &api_key,                request,            );            request.await.context("failed to stream completion")        }        .boxed()    }} impl LanguageModel for GoogleLanguageModel {    fn id(&self) -> LanguageModelId {        self.id.clone()    }     fn name(&self) -> LanguageModelName {        LanguageModelName::from(self.model.display_name().to_string())    }     fn provider_id(&self) -> LanguageModelProviderId {        PROVIDER_ID    }     fn provider_name(&self) -> LanguageModelProviderName {        PROVIDER_NAME    }     fn supports_tools(&self) -> bool {        self.model.supports_tools()    }     fn supports_images(&self) -> bool {        self.model.supports_images()    }     fn supports_thinking(&self) -> bool {        matches!(self.model.mode(), GoogleModelMode::Thinking { .. })    }     fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {        match choice {            LanguageModelToolChoice::Auto            | LanguageModelToolChoice::Any            | LanguageModelToolChoice::None => true,        }    }     fn tool_input_format(&self) -> LanguageModelToolSchemaFormat {        LanguageModelToolSchemaFormat::JsonSchemaSubset    }     fn telemetry_id(&self) -> String {        format!("google/{}", self.model.request_id())    }     fn max_token_count(&self) -> u64 {        self.model.max_token_count()    }     fn max_output_tokens(&self) -> Option<u64> {        self.model.max_output_tokens()    }     fn count_tokens(        &self,        request: LanguageModelRequest,        cx: &App,    ) -> BoxFuture<'static, Result<u64>> {        let model_id = self.model.request_id().to_string();        let request = into_google(request, model_id, self.model.mode());        let http_client = self.http_client.clone();        let api_url = GoogleLanguageModelProvider::api_url(cx);        let api_key = self.state.read(cx).api_key_state.key(&api_url);         async move {            let Some(api_key) = api_key else {                return Err(LanguageModelCompletionError::NoApiKey {                    provider: PROVIDER_NAME,                }                .into());            };            let response = google_ai::count_tokens(                http_client.as_ref(),                &api_url,                &api_key,                google_ai::CountTokensRequest {                    generate_content_request: request,                },            )            .await?;            Ok(response.total_tokens)        }        .boxed()    }     fn stream_completion(        &self,        request: LanguageModelRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<            futures::stream::BoxStream<                'static,                Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,            >,            LanguageModelCompletionError,        >,    > {        let request = into_google(            request,            self.model.request_id().to_string(),            self.model.mode(),        );        let request = self.stream_completion(request, cx);        let future = self.request_limiter.stream(async move {            let response = request.await.map_err(LanguageModelCompletionError::from)?;            Ok(GoogleEventMapper::new().map_stream(response))        });        async move { Ok(future.await?.boxed()) }.boxed()    }} struct ConfigurationView {    api_key_editor: Entity<InputField>,    state: Entity<State>,    target_agent: language_model::ConfigurationViewTargetAgent,    load_credentials_task: Option<Task<()>>,} impl ConfigurationView {    fn new(        state: Entity<State>,        target_agent: language_model::ConfigurationViewTargetAgent,        window: &mut Window,        cx: &mut Context<Self>,    ) -> Self {        cx.observe(&state, |_, _, cx| {            cx.notify();        })        .detach();         let load_credentials_task = Some(cx.spawn_in(window, {            let state = state.clone();            async move |this, cx| {                if let Some(task) = Some(state.update(cx, |state, cx| state.authenticate(cx))) {                    // We don't log an error, because "not signed in" is also an error.                    let _ = task.await;                }                this.update(cx, |this, cx| {                    this.load_credentials_task = None;                    cx.notify();                })                .log_err();            }        }));         Self {            api_key_editor: cx.new(|cx| InputField::new(window, cx, "AIzaSy...")),            target_agent,            state,            load_credentials_task,        }    }     fn save_api_key(&mut self, _: &menu::Confirm, window: &mut Window, cx: &mut Context<Self>) {        let api_key = self.api_key_editor.read(cx).text(cx).trim().to_string();        if api_key.is_empty() {            return;        }         // url changes can cause the editor to be displayed again        self.api_key_editor            .update(cx, |editor, cx| editor.set_text("", window, cx));         let state = self.state.clone();        cx.spawn_in(window, async move |_, cx| {            state                .update(cx, |state, cx| state.set_api_key(Some(api_key), cx))                .await        })        .detach_and_log_err(cx);    }     fn reset_api_key(&mut self, window: &mut Window, cx: &mut Context<Self>) {        self.api_key_editor            .update(cx, |editor, cx| editor.set_text("", window, cx));         let state = self.state.clone();        cx.spawn_in(window, async move |_, cx| {            state                .update(cx, |state, cx| state.set_api_key(None, cx))                .await        })        .detach_and_log_err(cx);    }     fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {        !self.state.read(cx).is_authenticated()    }} impl Render for ConfigurationView {    fn render(&mut self, _: &mut Window, cx: &mut Context<Self>) -> impl IntoElement {        let env_var_set = self.state.read(cx).api_key_state.is_from_env_var();        let configured_card_label = if env_var_set {            format!(                "API key set in {} environment variable",                API_KEY_ENV_VAR.name            )        } else {            let api_url = GoogleLanguageModelProvider::api_url(cx);            if api_url == google_ai::API_URL {                "API key configured".to_string()            } else {                format!("API key configured for {}", api_url)            }        };         if self.load_credentials_task.is_some() {            div()                .child(Label::new("Loading credentials..."))                .into_any_element()        } else if self.should_render_editor(cx) {            v_flex()                .size_full()                .on_action(cx.listener(Self::save_api_key))                .child(Label::new(format!("To use {}, you need to add an API key. Follow these steps:", match &self.target_agent {                    ConfigurationViewTargetAgent::ZedAgent => "Zed's agent with Google AI".into(),                    ConfigurationViewTargetAgent::Other(agent) => agent.clone(),                })))                .child(                    List::new()                        .child(

Lines 1–500 of 527. Load more