cloud_model.rs

  1use std::fmt;
  2use std::sync::Arc;
  3
  4use anyhow::Result;
  5use client::Client;
  6use gpui::{
  7    App, AppContext as _, AsyncApp, Context, Entity, EventEmitter, Global, ReadGlobal as _,
  8};
  9use icons::IconName;
 10use proto::{Plan, TypedEnvelope};
 11use schemars::JsonSchema;
 12use serde::{Deserialize, Serialize};
 13use smol::lock::{RwLock, RwLockUpgradableReadGuard, RwLockWriteGuard};
 14use strum::EnumIter;
 15use thiserror::Error;
 16
 17use crate::{LanguageModelAvailability, LanguageModelToolSchemaFormat};
 18
 19#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema)]
 20#[serde(tag = "provider", rename_all = "lowercase")]
 21pub enum CloudModel {
 22    Anthropic(anthropic::Model),
 23    OpenAi(open_ai::Model),
 24    Google(google_ai::Model),
 25}
 26
 27#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, JsonSchema, EnumIter)]
 28pub enum ZedModel {
 29    #[serde(rename = "Qwen/Qwen2-7B-Instruct")]
 30    Qwen2_7bInstruct,
 31}
 32
 33impl Default for CloudModel {
 34    fn default() -> Self {
 35        Self::Anthropic(anthropic::Model::default())
 36    }
 37}
 38
 39impl CloudModel {
 40    pub fn id(&self) -> &str {
 41        match self {
 42            Self::Anthropic(model) => model.id(),
 43            Self::OpenAi(model) => model.id(),
 44            Self::Google(model) => model.id(),
 45        }
 46    }
 47
 48    pub fn display_name(&self) -> &str {
 49        match self {
 50            Self::Anthropic(model) => model.display_name(),
 51            Self::OpenAi(model) => model.display_name(),
 52            Self::Google(model) => model.display_name(),
 53        }
 54    }
 55
 56    pub fn icon(&self) -> Option<IconName> {
 57        match self {
 58            Self::Anthropic(_) => Some(IconName::AiAnthropicHosted),
 59            _ => None,
 60        }
 61    }
 62
 63    pub fn max_token_count(&self) -> usize {
 64        match self {
 65            Self::Anthropic(model) => model.max_token_count(),
 66            Self::OpenAi(model) => model.max_token_count(),
 67            Self::Google(model) => model.max_token_count(),
 68        }
 69    }
 70
 71    /// Returns the availability of this model.
 72    pub fn availability(&self) -> LanguageModelAvailability {
 73        match self {
 74            Self::Anthropic(model) => match model {
 75                anthropic::Model::Claude3_5Sonnet
 76                | anthropic::Model::Claude3_7Sonnet
 77                | anthropic::Model::Claude3_7SonnetThinking => {
 78                    LanguageModelAvailability::RequiresPlan(Plan::Free)
 79                }
 80                anthropic::Model::Claude3Opus
 81                | anthropic::Model::Claude3Sonnet
 82                | anthropic::Model::Claude3Haiku
 83                | anthropic::Model::Claude3_5Haiku
 84                | anthropic::Model::Custom { .. } => {
 85                    LanguageModelAvailability::RequiresPlan(Plan::ZedPro)
 86                }
 87            },
 88            Self::OpenAi(model) => match model {
 89                open_ai::Model::ThreePointFiveTurbo
 90                | open_ai::Model::Four
 91                | open_ai::Model::FourTurbo
 92                | open_ai::Model::FourOmni
 93                | open_ai::Model::FourOmniMini
 94                | open_ai::Model::O1Mini
 95                | open_ai::Model::O1Preview
 96                | open_ai::Model::O1
 97                | open_ai::Model::O3Mini
 98                | open_ai::Model::Custom { .. } => {
 99                    LanguageModelAvailability::RequiresPlan(Plan::ZedPro)
100                }
101            },
102            Self::Google(model) => match model {
103                google_ai::Model::Gemini15Pro
104                | google_ai::Model::Gemini15Flash
105                | google_ai::Model::Gemini20Pro
106                | google_ai::Model::Gemini20Flash
107                | google_ai::Model::Gemini20FlashThinking
108                | google_ai::Model::Gemini20FlashLite
109                | google_ai::Model::Gemini25ProExp0325
110                | google_ai::Model::Custom { .. } => {
111                    LanguageModelAvailability::RequiresPlan(Plan::ZedPro)
112                }
113            },
114        }
115    }
116
117    pub fn tool_input_format(&self) -> LanguageModelToolSchemaFormat {
118        match self {
119            Self::Anthropic(_) | Self::OpenAi(_) => LanguageModelToolSchemaFormat::JsonSchema,
120            Self::Google(_) => LanguageModelToolSchemaFormat::JsonSchemaSubset,
121        }
122    }
123}
124
125#[derive(Error, Debug)]
126pub struct PaymentRequiredError;
127
128impl fmt::Display for PaymentRequiredError {
129    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
130        write!(
131            f,
132            "Payment required to use this language model. Please upgrade your account."
133        )
134    }
135}
136
137#[derive(Error, Debug)]
138pub struct MaxMonthlySpendReachedError;
139
140impl fmt::Display for MaxMonthlySpendReachedError {
141    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
142        write!(
143            f,
144            "Maximum spending limit reached for this month. For more usage, increase your spending limit."
145        )
146    }
147}
148
149#[derive(Clone, Default)]
150pub struct LlmApiToken(Arc<RwLock<Option<String>>>);
151
152impl LlmApiToken {
153    pub async fn acquire(&self, client: &Arc<Client>) -> Result<String> {
154        let lock = self.0.upgradable_read().await;
155        if let Some(token) = lock.as_ref() {
156            Ok(token.to_string())
157        } else {
158            Self::fetch(RwLockUpgradableReadGuard::upgrade(lock).await, client).await
159        }
160    }
161
162    pub async fn refresh(&self, client: &Arc<Client>) -> Result<String> {
163        Self::fetch(self.0.write().await, client).await
164    }
165
166    async fn fetch(
167        mut lock: RwLockWriteGuard<'_, Option<String>>,
168        client: &Arc<Client>,
169    ) -> Result<String> {
170        let response = client.request(proto::GetLlmToken {}).await?;
171        *lock = Some(response.token.clone());
172        Ok(response.token.clone())
173    }
174}
175
176struct GlobalRefreshLlmTokenListener(Entity<RefreshLlmTokenListener>);
177
178impl Global for GlobalRefreshLlmTokenListener {}
179
180pub struct RefreshLlmTokenEvent;
181
182pub struct RefreshLlmTokenListener {
183    _llm_token_subscription: client::Subscription,
184}
185
186impl EventEmitter<RefreshLlmTokenEvent> for RefreshLlmTokenListener {}
187
188impl RefreshLlmTokenListener {
189    pub fn register(client: Arc<Client>, cx: &mut App) {
190        let listener = cx.new(|cx| RefreshLlmTokenListener::new(client, cx));
191        cx.set_global(GlobalRefreshLlmTokenListener(listener));
192    }
193
194    pub fn global(cx: &App) -> Entity<Self> {
195        GlobalRefreshLlmTokenListener::global(cx).0.clone()
196    }
197
198    fn new(client: Arc<Client>, cx: &mut Context<Self>) -> Self {
199        Self {
200            _llm_token_subscription: client
201                .add_message_handler(cx.weak_entity(), Self::handle_refresh_llm_token),
202        }
203    }
204
205    async fn handle_refresh_llm_token(
206        this: Entity<Self>,
207        _: TypedEnvelope<proto::RefreshLlmToken>,
208        mut cx: AsyncApp,
209    ) -> Result<()> {
210        this.update(&mut cx, |_this, cx| cx.emit(RefreshLlmTokenEvent))
211    }
212}