use anyhow::{Context as _, Result, anyhow};use collections::BTreeMap;use credentials_provider::CredentialsProvider;use futures::{FutureExt, StreamExt, future::BoxFuture};use gpui::{AnyView, App, AsyncApp, Context, Entity, Subscription, Task, Window};use http_client::HttpClient;use language_model::{    AuthenticateError, LanguageModel, LanguageModelCompletionError, LanguageModelCompletionEvent,    LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,    LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest,    LanguageModelToolChoice, RateLimiter, Role,};use menu;use open_ai::ResponseStreamEvent;use schemars::JsonSchema;use serde::{Deserialize, Serialize};use settings::{Settings, SettingsStore};use std::sync::Arc;use strum::IntoEnumIterator;use vercel::Model; use ui::{ElevationIndex, List, Tooltip, prelude::*};use ui_input::SingleLineInput;use util::ResultExt; use crate::{AllLanguageModelSettings, ui::InstructionListItem}; const PROVIDER_ID: &str = "vercel";const PROVIDER_NAME: &str = "Vercel"; #[derive(Default, Clone, Debug, PartialEq)]pub struct VercelSettings {    pub api_url: String,    pub available_models: Vec<AvailableModel>,} #[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]pub struct AvailableModel {    pub name: String,    pub display_name: Option<String>,    pub max_tokens: u64,    pub max_output_tokens: Option<u64>,    pub max_completion_tokens: Option<u64>,} pub struct VercelLanguageModelProvider {    http_client: Arc<dyn HttpClient>,    state: gpui::Entity<State>,} pub struct State {    api_key: Option<String>,    api_key_from_env: bool,    _subscription: Subscription,} const VERCEL_API_KEY_VAR: &str = "VERCEL_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 settings = &AllLanguageModelSettings::get_global(cx).vercel;        let api_url = if settings.api_url.is_empty() {            vercel::VERCEL_API_URL.to_string()        } else {            settings.api_url.clone()        };        cx.spawn(async move |this, cx| {            credentials_provider                .delete_credentials(&api_url, &cx)                .await                .log_err();            this.update(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 settings = &AllLanguageModelSettings::get_global(cx).vercel;        let api_url = if settings.api_url.is_empty() {            vercel::VERCEL_API_URL.to_string()        } else {            settings.api_url.clone()        };        cx.spawn(async move |this, cx| {            credentials_provider                .write_credentials(&api_url, "Bearer", api_key.as_bytes(), &cx)                .await                .log_err();            this.update(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 settings = &AllLanguageModelSettings::get_global(cx).vercel;        let api_url = if settings.api_url.is_empty() {            vercel::VERCEL_API_URL.to_string()        } else {            settings.api_url.clone()        };        cx.spawn(async move |this, cx| {            let (api_key, from_env) = if let Ok(api_key) = std::env::var(VERCEL_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(cx, |this, cx| {                this.api_key = Some(api_key);                this.api_key_from_env = from_env;                cx.notify();            })?;             Ok(())        })    }} impl VercelLanguageModelProvider {    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>(|_this: &mut State, cx| {                cx.notify();            }),        });         Self { http_client, state }    }     fn create_language_model(&self, model: vercel::Model) -> Arc<dyn LanguageModel> {        Arc::new(VercelLanguageModel {            id: LanguageModelId::from(model.id().to_string()),            model,            state: self.state.clone(),            http_client: self.http_client.clone(),            request_limiter: RateLimiter::new(4),        })    }} impl LanguageModelProviderState for VercelLanguageModelProvider {    type ObservableEntity = State;     fn observable_entity(&self) -> Option<gpui::Entity<Self::ObservableEntity>> {        Some(self.state.clone())    }} impl LanguageModelProvider for VercelLanguageModelProvider {    fn id(&self) -> LanguageModelProviderId {        LanguageModelProviderId(PROVIDER_ID.into())    }     fn name(&self) -> LanguageModelProviderName {        LanguageModelProviderName(PROVIDER_NAME.into())    }     fn icon(&self) -> IconName {        IconName::AiVZero    }     fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(vercel::Model::default()))    }     fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(vercel::Model::default_fast()))    }     fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {        let mut models = BTreeMap::default();         for model in vercel::Model::iter() {            if !matches!(model, vercel::Model::Custom { .. }) {                models.insert(model.id().to_string(), model);            }        }         for model in &AllLanguageModelSettings::get_global(cx)            .vercel            .available_models        {            models.insert(                model.name.clone(),                vercel::Model::Custom {                    name: model.name.clone(),                    display_name: model.display_name.clone(),                    max_tokens: model.max_tokens,                    max_output_tokens: model.max_output_tokens,                    max_completion_tokens: model.max_completion_tokens,                },            );        }         models            .into_values()            .map(|model| self.create_language_model(model))            .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 VercelLanguageModel {    id: LanguageModelId,    model: vercel::Model,    state: gpui::Entity<State>,    http_client: Arc<dyn HttpClient>,    request_limiter: RateLimiter,} impl VercelLanguageModel {    fn stream_completion(        &self,        request: open_ai::Request,        cx: &AsyncApp,    ) -> BoxFuture<'static, Result<futures::stream::BoxStream<'static, Result<ResponseStreamEvent>>>>    {        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).vercel;            let api_url = if settings.api_url.is_empty() {                vercel::VERCEL_API_URL.to_string()            } else {                settings.api_url.clone()            };            (state.api_key.clone(), api_url)        }) else {            return futures::future::ready(Err(anyhow!("App state dropped"))).boxed();        };         let future = self.request_limiter.stream(async move {            let api_key = api_key.context("Missing Vercel API Key")?;            let request =                open_ai::stream_completion(http_client.as_ref(), &api_url, &api_key, request);            let response = request.await?;            Ok(response)        });         async move { Ok(future.await?.boxed()) }.boxed()    }} impl LanguageModel for VercelLanguageModel {    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 supports_tools(&self) -> bool {        true    }     fn supports_images(&self) -> bool {        true    }     fn supports_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {        match choice {            LanguageModelToolChoice::Auto            | LanguageModelToolChoice::Any            | LanguageModelToolChoice::None => true,        }    }     fn telemetry_id(&self) -> String {        format!("vercel/{}", self.model.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>> {        count_vercel_tokens(request, self.model.clone(), cx)    }     fn stream_completion(        &self,        request: LanguageModelRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<            futures::stream::BoxStream<                'static,                Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,            >,            LanguageModelCompletionError,        >,    > {        let request = crate::provider::open_ai::into_open_ai(            request,            self.model.id(),            self.model.supports_parallel_tool_calls(),            self.max_output_tokens(),        );        let completions = self.stream_completion(request, cx);        async move {            let mapper = crate::provider::open_ai::OpenAiEventMapper::new();            Ok(mapper.map_stream(completions.await?).boxed())        }        .boxed()    }} pub fn count_vercel_tokens(    request: LanguageModelRequest,    model: Model,    cx: &App,) -> BoxFuture<'static, Result<u64>> {    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<_>>();         match model {            Model::Custom { max_tokens, .. } => {                let model = if max_tokens >= 100_000 {                    // If the max tokens is 100k or more, it is likely the o200k_base tokenizer from gpt4o                    "gpt-4o"                } else {                    // Otherwise fallback to gpt-4, since only cl100k_base and o200k_base are                    // supported with this tiktoken method                    "gpt-4"                };                tiktoken_rs::num_tokens_from_messages(model, &messages)            }            // Map Vercel models to appropriate OpenAI models for token counting            // since Vercel uses OpenAI-compatible API            Model::VZeroOnePointFiveMedium => {                // Vercel v0 is similar to GPT-4o, so use gpt-4o for token counting                tiktoken_rs::num_tokens_from_messages("gpt-4o", &messages)            }        }        .map(|tokens| tokens as u64)    })    .boxed()} struct ConfigurationView {    api_key_editor: Entity<SingleLineInput>,    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 {        let api_key_editor = cx.new(|cx| {            SingleLineInput::new(                window,                cx,                "v1:0000000000000000000000000000000000000000000000000",            )            .label("API key")        });         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) = state                    .update(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(cx, |this, cx| {                    this.load_credentials_task = None;                    cx.notify();                })                .log_err();            }        }));         Self {            api_key_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)            .editor()            .read(cx)            .text(cx)            .trim()            .to_string();         // Don't proceed if no API key is provided and we're not authenticated        if api_key.is_empty() && !self.state.read(cx).is_authenticated() {            return;        }         let state = self.state.clone();        cx.spawn_in(window, async move |_, cx| {            state                .update(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, |input, cx| {            input.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.reset_api_key(cx))?.await        })        .detach_and_log_err(cx);         cx.notify();    }     fn should_render_editor(&self, cx: &mut Context<Self>) -> bool {        !self.state.read(cx).is_authenticated()

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