use anyhow::{anyhow, Context as _, Result};use collections::BTreeMap;use credentials_provider::CredentialsProvider;use editor::{Editor, EditorElement, EditorStyle};use futures::{future::BoxFuture, FutureExt, StreamExt};use google_ai::stream_generate_content;use gpui::{    AnyView, App, AsyncApp, Context, Entity, FontStyle, Subscription, Task, TextStyle, WhiteSpace,};use http_client::HttpClient;use language_model::{AuthenticateError, LanguageModelCompletionEvent};use language_model::{    LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,    LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,    LanguageModelRequest, RateLimiter, Role,};use schemars::JsonSchema;use serde::{Deserialize, Serialize};use settings::{Settings, SettingsStore};use std::{future, sync::Arc};use strum::IntoEnumIterator;use theme::ThemeSettings;use ui::{prelude::*, Icon, IconName, List, Tooltip};use util::ResultExt; use crate::ui::InstructionListItem;use crate::AllLanguageModelSettings; const PROVIDER_ID: &str = "google";const PROVIDER_NAME: &str = "Google AI"; #[derive(Default, Clone, Debug, PartialEq)]pub struct GoogleSettings {    pub api_url: String,    pub available_models: Vec<AvailableModel>,} #[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]pub struct AvailableModel {    name: String,    display_name: Option<String>,    max_tokens: usize,} pub struct GoogleLanguageModelProvider {    http_client: Arc<dyn HttpClient>,    state: gpui::Entity<State>,} pub struct State {    api_key: Option<String>,    api_key_from_env: bool,    _subscription: Subscription,} const GOOGLE_AI_API_KEY_VAR: &str = "GOOGLE_AI_API_KEY"; impl State {    fn is_authenticated(&self) -> bool {        self.api_key.is_some()    }     fn reset_api_key(&self, cx: &mut Context<Self>) -> Task<Result<()>> {        let credentials_provider = <dyn CredentialsProvider>::global(cx);        let api_url = AllLanguageModelSettings::get_global(cx)            .google            .api_url            .clone();        cx.spawn(|this, mut cx| async move {            credentials_provider                .delete_credentials(&api_url, &cx)                .await                .log_err();            this.update(&mut cx, |this, cx| {                this.api_key = None;                this.api_key_from_env = false;                cx.notify();            })        })    }     fn set_api_key(&mut self, api_key: String, cx: &mut Context<Self>) -> Task<Result<()>> {        let credentials_provider = <dyn CredentialsProvider>::global(cx);        let api_url = AllLanguageModelSettings::get_global(cx)            .google            .api_url            .clone();        cx.spawn(|this, mut cx| async move {            credentials_provider                .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)                .await?;            this.update(&mut cx, |this, cx| {                this.api_key = Some(api_key);                cx.notify();            })        })    }     fn authenticate(&self, cx: &mut Context<Self>) -> Task<Result<(), AuthenticateError>> {        if self.is_authenticated() {            return Task::ready(Ok(()));        }         let credentials_provider = <dyn CredentialsProvider>::global(cx);        let api_url = AllLanguageModelSettings::get_global(cx)            .google            .api_url            .clone();         cx.spawn(|this, mut cx| async move {            let (api_key, from_env) = if let Ok(api_key) = std::env::var(GOOGLE_AI_API_KEY_VAR) {                (api_key, true)            } else {                let (_, api_key) = credentials_provider                    .read_credentials(&api_url, &cx)                    .await?                    .ok_or(AuthenticateError::CredentialsNotFound)?;                (                    String::from_utf8(api_key).context("invalid {PROVIDER_NAME} API key")?,                    false,                )            };             this.update(&mut cx, |this, cx| {                this.api_key = Some(api_key);                this.api_key_from_env = from_env;                cx.notify();            })?;             Ok(())        })    }} impl GoogleLanguageModelProvider {    pub fn new(http_client: Arc<dyn HttpClient>, cx: &mut App) -> Self {        let state = cx.new(|cx| State {            api_key: None,            api_key_from_env: false,            _subscription: cx.observe_global::<SettingsStore>(|_, cx| {                cx.notify();            }),        });         Self { http_client, state }    }} impl LanguageModelProviderState for GoogleLanguageModelProvider {    type ObservableEntity = State;     fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {        Some(self.state.clone())    }} impl LanguageModelProvider for GoogleLanguageModelProvider {    fn id(&self) -> LanguageModelProviderId {        LanguageModelProviderId(PROVIDER_ID.into())    }     fn name(&self) -> LanguageModelProviderName {        LanguageModelProviderName(PROVIDER_NAME.into())    }     fn icon(&self) -> IconName {        IconName::AiGoogle    }     fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        let model = google_ai::Model::default();        Some(Arc::new(GoogleLanguageModel {            id: LanguageModelId::from(model.id().to_string()),            model,            state: self.state.clone(),            http_client: self.http_client.clone(),            rate_limiter: RateLimiter::new(4),        }))    }     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 &AllLanguageModelSettings::get_global(cx)            .google            .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,                },            );        }         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(),                    rate_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, window: &mut Window, cx: &mut App) -> AnyView {        cx.new(|cx| ConfigurationView::new(self.state.clone(), window, cx))            .into()    }     fn reset_credentials(&self, cx: &mut App) -> Task<Result<()>> {        self.state.update(cx, |state, cx| state.reset_api_key(cx))    }} pub struct GoogleLanguageModel {    id: LanguageModelId,    model: google_ai::Model,    state: gpui::Entity<State>,    http_client: Arc<dyn HttpClient>,    rate_limiter: RateLimiter,} 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 {        LanguageModelProviderId(PROVIDER_ID.into())    }     fn provider_name(&self) -> LanguageModelProviderName {        LanguageModelProviderName(PROVIDER_NAME.into())    }     fn telemetry_id(&self) -> String {        format!("google/{}", self.model.id())    }     fn max_token_count(&self) -> usize {        self.model.max_token_count()    }     fn count_tokens(        &self,        request: LanguageModelRequest,        cx: &App,    ) -> BoxFuture<'static, Result<usize>> {        let request = into_google(request, self.model.id().to_string());        let http_client = self.http_client.clone();        let api_key = self.state.read(cx).api_key.clone();         let settings = &AllLanguageModelSettings::get_global(cx).google;        let api_url = settings.api_url.clone();         async move {            let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API key"))?;            let response = google_ai::count_tokens(                http_client.as_ref(),                &api_url,                &api_key,                google_ai::CountTokensRequest {                    contents: request.contents,                },            )            .await?;            Ok(response.total_tokens)        }        .boxed()    }     fn stream_completion(        &self,        request: LanguageModelRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<futures::stream::BoxStream<'static, Result<LanguageModelCompletionEvent>>>,    > {        let request = into_google(request, self.model.id().to_string());         let http_client = self.http_client.clone();        let Ok((api_key, api_url)) = cx.read_entity(&self.state, |state, cx| {            let settings = &AllLanguageModelSettings::get_global(cx).google;            (state.api_key.clone(), settings.api_url.clone())        }) else {            return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();        };         let future = self.rate_limiter.stream(async move {            let api_key = api_key.ok_or_else(|| anyhow!("Missing Google API Key"))?;            let response =                stream_generate_content(http_client.as_ref(), &api_url, &api_key, request);            let events = response.await?;            Ok(google_ai::extract_text_from_events(events).boxed())        });        async move {            Ok(future                .await?                .map(|result| result.map(LanguageModelCompletionEvent::Text))                .boxed())        }        .boxed()    }     fn use_any_tool(        &self,        _request: LanguageModelRequest,        _name: String,        _description: String,        _schema: serde_json::Value,        _cx: &AsyncApp,    ) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<String>>>> {        future::ready(Err(anyhow!("not implemented"))).boxed()    }} pub fn into_google(    request: LanguageModelRequest,    model: String,) -> google_ai::GenerateContentRequest {    google_ai::GenerateContentRequest {        model,        contents: request            .messages            .into_iter()            .map(|msg| google_ai::Content {                parts: vec![google_ai::Part::TextPart(google_ai::TextPart {                    text: msg.string_contents(),                })],                role: match msg.role {                    Role::User => google_ai::Role::User,                    Role::Assistant => google_ai::Role::Model,                    Role::System => google_ai::Role::User, // Google AI doesn't have a system role                },            })            .collect(),        generation_config: Some(google_ai::GenerationConfig {            candidate_count: Some(1),            stop_sequences: Some(request.stop),            max_output_tokens: None,            temperature: request.temperature.map(|t| t as f64).or(Some(1.0)),            top_p: None,            top_k: None,        }),        safety_settings: None,    }} pub fn count_google_tokens(    request: LanguageModelRequest,    cx: &App,) -> BoxFuture<'static, Result<usize>> {    // We couldn't use the GoogleLanguageModelProvider to count tokens because the github copilot doesn't have the access to google_ai directly.    // So we have to use tokenizer from tiktoken_rs to count tokens.    cx.background_spawn(async move {        let messages = request            .messages            .into_iter()            .map(|message| tiktoken_rs::ChatCompletionRequestMessage {                role: match message.role {                    Role::User => "user".into(),                    Role::Assistant => "assistant".into(),                    Role::System => "system".into(),                },                content: Some(message.string_contents()),                name: None,                function_call: None,            })            .collect::<Vec<_>>();         // Tiktoken doesn't yet support these models, so we manually use the        // same tokenizer as GPT-4.        tiktoken_rs::num_tokens_from_messages("gpt-4", &messages)    })    .boxed()} struct ConfigurationView {    api_key_editor: Entity<Editor>,    state: gpui::Entity<State>,    load_credentials_task: Option<Task<()>>,} impl ConfigurationView {    fn new(state: gpui::Entity<State>, 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();            |this, mut cx| async move {                if let Some(task) = state                    .update(&mut cx, |state, cx| state.authenticate(cx))                    .log_err()                {                    // We don't log an error, because "not signed in" is also an error.                    let _ = task.await;                }                this.update(&mut cx, |this, cx| {                    this.load_credentials_task = None;                    cx.notify();                })                .log_err();            }        }));         Self {            api_key_editor: cx.new(|cx| {                let mut editor = Editor::single_line(window, cx);                editor.set_placeholder_text("AIzaSy...", cx);                editor            }),            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);        if api_key.is_empty() {            return;        }         let state = self.state.clone();        cx.spawn_in(window, |_, mut cx| async move {            state                .update(&mut cx, |state, cx| state.set_api_key(api_key, cx))?                .await        })        .detach_and_log_err(cx);         cx.notify();    }     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, |_, mut cx| async move {            state                .update(&mut cx, |state, cx| state.reset_api_key(cx))?                .await        })        .detach_and_log_err(cx);         cx.notify();    }     fn render_api_key_editor(&self, cx: &mut Context<Self>) -> impl IntoElement {        let settings = ThemeSettings::get_global(cx);        let text_style = TextStyle {            color: cx.theme().colors().text,            font_family: settings.ui_font.family.clone(),            font_features: settings.ui_font.features.clone(),            font_fallbacks: settings.ui_font.fallbacks.clone(),            font_size: rems(0.875).into(),            font_weight: settings.ui_font.weight,            font_style: FontStyle::Normal,            line_height: relative(1.3),            white_space: WhiteSpace::Normal,            ..Default::default()        };        EditorElement::new(            &self.api_key_editor,            EditorStyle {                background: cx.theme().colors().editor_background,                local_player: cx.theme().players().local(),                text: text_style,                ..Default::default()

Lines 1–500 of 579. Load more