use anyhow::Result;use collections::BTreeMap;use credentials_provider::CredentialsProvider;use futures::{FutureExt, StreamExt, future::BoxFuture};use gpui::{AnyView, App, AsyncApp, Context, Entity, SharedString, Task, Window};use http_client::HttpClient;use language_model::{    ApiKeyState, AuthenticateError, EnvVar, IconOrSvg, LanguageModel, LanguageModelCompletionError,    LanguageModelCompletionEvent, LanguageModelId, LanguageModelName, LanguageModelProvider,    LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,    LanguageModelRequest, LanguageModelToolChoice, RateLimiter, Role, env_var,};use opencode::{ApiProtocol, OPENCODE_API_URL};pub use settings::OpenCodeAvailableModel 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 crate::provider::anthropic::{AnthropicEventMapper, into_anthropic};use crate::provider::google::{GoogleEventMapper, into_google};use crate::provider::open_ai::{    OpenAiEventMapper, OpenAiResponseEventMapper, into_open_ai, into_open_ai_response,}; const PROVIDER_ID: LanguageModelProviderId = LanguageModelProviderId::new("opencode");const PROVIDER_NAME: LanguageModelProviderName = LanguageModelProviderName::new("OpenCode Zen"); const API_KEY_ENV_VAR_NAME: &str = "OPENCODE_API_KEY";static API_KEY_ENV_VAR: LazyLock<EnvVar> = env_var!(API_KEY_ENV_VAR_NAME); #[derive(Default, Clone, Debug, PartialEq)]pub struct OpenCodeSettings {    pub api_url: String,    pub available_models: Vec<AvailableModel>,} pub struct OpenCodeLanguageModelProvider {    http_client: Arc<dyn HttpClient>,    state: Entity<State>,} pub struct State {    api_key_state: ApiKeyState,    credentials_provider: Arc<dyn CredentialsProvider>,} 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 = OpenCodeLanguageModelProvider::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 = OpenCodeLanguageModelProvider::api_url(cx);        self.api_key_state.load_if_needed(            api_url,            |this| &mut this.api_key_state,            credentials_provider,            cx,        )    }} impl OpenCodeLanguageModelProvider {    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: opencode::Model) -> Arc<dyn LanguageModel> {        Arc::new(OpenCodeLanguageModel {            id: LanguageModelId::from(model.id().to_string()),            model,            state: self.state.clone(),            http_client: self.http_client.clone(),            request_limiter: RateLimiter::new(4),        })    }     pub fn settings(cx: &App) -> &OpenCodeSettings {        &crate::AllLanguageModelSettings::get_global(cx).opencode    }     fn api_url(cx: &App) -> SharedString {        let api_url = &Self::settings(cx).api_url;        if api_url.is_empty() {            OPENCODE_API_URL.into()        } else {            SharedString::new(api_url.as_str())        }    }} impl LanguageModelProviderState for OpenCodeLanguageModelProvider {    type ObservableEntity = State;     fn observable_entity(&self) -> Option<Entity<Self::ObservableEntity>> {        Some(self.state.clone())    }} impl LanguageModelProvider for OpenCodeLanguageModelProvider {    fn id(&self) -> LanguageModelProviderId {        PROVIDER_ID    }     fn name(&self) -> LanguageModelProviderName {        PROVIDER_NAME    }     fn icon(&self) -> IconOrSvg {        IconOrSvg::Icon(IconName::AiOpenCode)    }     fn default_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(opencode::Model::default()))    }     fn default_fast_model(&self, _cx: &App) -> Option<Arc<dyn LanguageModel>> {        Some(self.create_language_model(opencode::Model::default_fast()))    }     fn provided_models(&self, cx: &App) -> Vec<Arc<dyn LanguageModel>> {        let mut models = BTreeMap::default();         for model in opencode::Model::iter() {            if !matches!(model, opencode::Model::Custom { .. }) {                models.insert(model.id().to_string(), model);            }        }         for model in &Self::settings(cx).available_models {            let protocol = match model.protocol.as_str() {                "anthropic" => ApiProtocol::Anthropic,                "openai_responses" => ApiProtocol::OpenAiResponses,                "openai_chat" => ApiProtocol::OpenAiChat,                "google" => ApiProtocol::Google,                _ => ApiProtocol::OpenAiChat, // default fallback            };            models.insert(                model.name.clone(),                opencode::Model::Custom {                    name: model.name.clone(),                    display_name: model.display_name.clone(),                    max_tokens: model.max_tokens,                    max_output_tokens: model.max_output_tokens,                    protocol,                },            );        }         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,        _target_agent: language_model::ConfigurationViewTargetAgent,        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.set_api_key(None, cx))    }} pub struct OpenCodeLanguageModel {    id: LanguageModelId,    model: opencode::Model,    state: Entity<State>,    http_client: Arc<dyn HttpClient>,    request_limiter: RateLimiter,} impl OpenCodeLanguageModel {    /// Returns the base API URL (e.g., "https://opencode.ai/zen").    fn base_api_url(&self, cx: &AsyncApp) -> SharedString {        self.state            .read_with(cx, |_, cx| OpenCodeLanguageModelProvider::api_url(cx))    }     fn api_key(&self, cx: &AsyncApp) -> Option<Arc<str>> {        self.state.read_with(cx, |state, cx| {            let api_url = OpenCodeLanguageModelProvider::api_url(cx);            state.api_key_state.key(&api_url)        })    }     fn stream_anthropic(        &self,        request: anthropic::Request,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<            futures::stream::BoxStream<                'static,                Result<anthropic::Event, anthropic::AnthropicError>,            >,            LanguageModelCompletionError,        >,    > {        let http_client = self.http_client.clone();        // Anthropic crate appends /v1/messages to api_url        let api_url = self.base_api_url(cx);        let api_key = self.api_key(cx);         let future = self.request_limiter.stream(async move {            let Some(api_key) = api_key else {                return Err(LanguageModelCompletionError::NoApiKey {                    provider: PROVIDER_NAME,                });            };            let request = anthropic::stream_completion(                http_client.as_ref(),                &api_url,                &api_key,                request,                None,            );            let response = request.await?;            Ok(response)        });         async move { Ok(future.await?.boxed()) }.boxed()    }     fn stream_openai_chat(        &self,        request: open_ai::Request,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<futures::stream::BoxStream<'static, Result<open_ai::ResponseStreamEvent>>>,    > {        let http_client = self.http_client.clone();        // OpenAI crate appends /chat/completions to api_url, so we pass base + "/v1"        let base_url = self.base_api_url(cx);        let api_url: SharedString = format!("{base_url}/v1").into();        let api_key = self.api_key(cx);        let provider_name = PROVIDER_NAME.0.to_string();         let future = self.request_limiter.stream(async move {            let Some(api_key) = api_key else {                return Err(LanguageModelCompletionError::NoApiKey {                    provider: PROVIDER_NAME,                });            };            let request = open_ai::stream_completion(                http_client.as_ref(),                &provider_name,                &api_url,                &api_key,                request,            );            let response = request.await?;            Ok(response)        });         async move { Ok(future.await?.boxed()) }.boxed()    }     fn stream_openai_response(        &self,        request: open_ai::responses::Request,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<futures::stream::BoxStream<'static, Result<open_ai::responses::StreamEvent>>>,    > {        let http_client = self.http_client.clone();        // Responses crate appends /responses to api_url, so we pass base + "/v1"        let base_url = self.base_api_url(cx);        let api_url: SharedString = format!("{base_url}/v1").into();        let api_key = self.api_key(cx);        let provider_name = PROVIDER_NAME.0.to_string();         let future = self.request_limiter.stream(async move {            let Some(api_key) = api_key else {                return Err(LanguageModelCompletionError::NoApiKey {                    provider: PROVIDER_NAME,                });            };            let request = open_ai::responses::stream_response(                http_client.as_ref(),                &provider_name,                &api_url,                &api_key,                request,            );            let response = request.await?;            Ok(response)        });         async move { Ok(future.await?.boxed()) }.boxed()    }     fn stream_google_zen(        &self,        request: google_ai::GenerateContentRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<futures::stream::BoxStream<'static, Result<google_ai::GenerateContentResponse>>>,    > {        let http_client = self.http_client.clone();        let api_url = self.base_api_url(cx);        let api_key = self.api_key(cx);         let future = self.request_limiter.stream(async move {            let Some(api_key) = api_key else {                return Err(LanguageModelCompletionError::NoApiKey {                    provider: PROVIDER_NAME,                });            };            let request = opencode::stream_generate_content_zen(                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 OpenCodeLanguageModel {    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_tool_choice(&self, choice: LanguageModelToolChoice) -> bool {        match choice {            LanguageModelToolChoice::Auto | LanguageModelToolChoice::Any => true,            LanguageModelToolChoice::None => {                // Google models don't support None tool choice                self.model.protocol() != ApiProtocol::Google            }        }    }     fn telemetry_id(&self) -> String {        format!("opencode/{}", 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>> {        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_rs::num_tokens_from_messages("gpt-4o", &messages).map(|tokens| tokens as u64)        })        .boxed()    }     fn stream_completion(        &self,        request: LanguageModelRequest,        cx: &AsyncApp,    ) -> BoxFuture<        'static,        Result<            futures::stream::BoxStream<                'static,                Result<LanguageModelCompletionEvent, LanguageModelCompletionError>,            >,            LanguageModelCompletionError,        >,    > {        match self.model.protocol() {            ApiProtocol::Anthropic => {                let anthropic_request = into_anthropic(                    request,                    self.model.id().to_string(),                    1.0,                    self.model.max_output_tokens().unwrap_or(8192),                    anthropic::AnthropicModelMode::Default,                );                let stream = self.stream_anthropic(anthropic_request, cx);                async move {                    let mapper = AnthropicEventMapper::new();                    Ok(mapper.map_stream(stream.await?).boxed())                }                .boxed()            }            ApiProtocol::OpenAiChat => {                let openai_request = into_open_ai(                    request,                    self.model.id(),                    false,                    false,                    self.model.max_output_tokens(),                    None,                );                let stream = self.stream_openai_chat(openai_request, cx);                async move {                    let mapper = OpenAiEventMapper::new();                    Ok(mapper.map_stream(stream.await?).boxed())                }                .boxed()            }

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