Add language_models crate to house language model providers (#20945)

This PR adds a new `language_models` crate to house the various language
model providers.

By extracting the provider definitions out of `language_model`, we're
able to remove `language_model`'s dependency on `editor`, which improves
incremental compilation when changing `editor`.

Release Notes:

- N/A

Cargo.lock

@@ -402,6 +402,7 @@ dependencies = [
  "indoc",
  "language",
  "language_model",
+ "language_models",
  "languages",
  "log",
  "lsp",
@@ -6520,27 +6521,48 @@ dependencies = [
  "anthropic",
  "anyhow",
  "base64 0.22.1",
- "client",
  "collections",
- "copilot",
- "ctor",
- "editor",
- "env_logger 0.11.5",
- "feature_flags",
  "futures 0.3.31",
  "google_ai",
  "gpui",
  "http_client",
  "image",
- "language",
  "log",
- "menu",
  "ollama",
  "open_ai",
  "parking_lot",
+ "proto",
+ "schemars",
+ "serde",
+ "serde_json",
+ "smol",
+ "strum 0.25.0",
+ "ui",
+ "util",
+]
+
+[[package]]
+name = "language_models"
+version = "0.1.0"
+dependencies = [
+ "anthropic",
+ "anyhow",
+ "client",
+ "collections",
+ "copilot",
+ "editor",
+ "feature_flags",
+ "fs",
+ "futures 0.3.31",
+ "google_ai",
+ "gpui",
+ "http_client",
+ "language_model",
+ "menu",
+ "ollama",
+ "open_ai",
  "project",
  "proto",
- "rand 0.8.5",
  "schemars",
  "serde",
  "serde_json",
@@ -6548,12 +6570,10 @@ dependencies = [
  "smol",
  "strum 0.25.0",
  "telemetry_events",
- "text",
  "theme",
  "thiserror 1.0.69",
  "tiktoken-rs",
  "ui",
- "unindent",
  "util",
 ]
 
@@ -15481,6 +15501,7 @@ dependencies = [
  "journal",
  "language",
  "language_model",
+ "language_models",
  "language_selector",
  "language_tools",
  "languages",

Cargo.toml

@@ -55,6 +55,7 @@ members = [
     "crates/journal",
     "crates/language",
     "crates/language_model",
+    "crates/language_models",
     "crates/language_selector",
     "crates/language_tools",
     "crates/languages",
@@ -228,6 +229,7 @@ install_cli = { path = "crates/install_cli" }
 journal = { path = "crates/journal" }
 language = { path = "crates/language" }
 language_model = { path = "crates/language_model" }
+language_models = { path = "crates/language_models" }
 language_selector = { path = "crates/language_selector" }
 language_tools = { path = "crates/language_tools" }
 languages = { path = "crates/languages" }

crates/assistant/Cargo.toml

@@ -50,6 +50,7 @@ indexed_docs.workspace = true
 indoc.workspace = true
 language.workspace = true
 language_model.workspace = true
+language_models.workspace = true
 log.workspace = true
 lsp.workspace = true
 markdown.workspace = true

crates/assistant/src/assistant_panel.rs

@@ -50,11 +50,11 @@ use indexed_docs::IndexedDocsStore;
 use language::{
     language_settings::SoftWrap, BufferSnapshot, LanguageRegistry, LspAdapterDelegate, ToOffset,
 };
-use language_model::{
-    provider::cloud::PROVIDER_ID, LanguageModelProvider, LanguageModelProviderId,
-    LanguageModelRegistry, Role,
-};
 use language_model::{LanguageModelImage, LanguageModelToolUse};
+use language_model::{
+    LanguageModelProvider, LanguageModelProviderId, LanguageModelRegistry, Role,
+    ZED_CLOUD_PROVIDER_ID,
+};
 use multi_buffer::MultiBufferRow;
 use picker::{Picker, PickerDelegate};
 use project::lsp_store::LocalLspAdapterDelegate;
@@ -664,7 +664,7 @@ impl AssistantPanel {
         // If we're signed out and don't have a provider configured, or we're signed-out AND Zed.dev is
         // the provider, we want to show a nudge to sign in.
         let show_zed_ai_notice = client_status.is_signed_out()
-            && active_provider.map_or(true, |provider| provider.id().0 == PROVIDER_ID);
+            && active_provider.map_or(true, |provider| provider.id().0 == ZED_CLOUD_PROVIDER_ID);
 
         self.show_zed_ai_notice = show_zed_ai_notice;
         cx.notify();

crates/assistant/src/assistant_settings.rs

@@ -5,13 +5,12 @@ use anthropic::Model as AnthropicModel;
 use feature_flags::FeatureFlagAppExt;
 use fs::Fs;
 use gpui::{AppContext, Pixels};
-use language_model::provider::open_ai;
-use language_model::settings::{
-    AnthropicSettingsContent, AnthropicSettingsContentV1, OllamaSettingsContent,
-    OpenAiSettingsContent, OpenAiSettingsContentV1, VersionedAnthropicSettingsContent,
-    VersionedOpenAiSettingsContent,
+use language_model::{CloudModel, LanguageModel};
+use language_models::{
+    provider::open_ai, AllLanguageModelSettings, AnthropicSettingsContent,
+    AnthropicSettingsContentV1, OllamaSettingsContent, OpenAiSettingsContent,
+    OpenAiSettingsContentV1, VersionedAnthropicSettingsContent, VersionedOpenAiSettingsContent,
 };
-use language_model::{settings::AllLanguageModelSettings, CloudModel, LanguageModel};
 use ollama::Model as OllamaModel;
 use schemars::{schema::Schema, JsonSchema};
 use serde::{Deserialize, Serialize};

crates/assistant/src/context.rs

@@ -25,13 +25,15 @@ use gpui::{
 
 use language::{AnchorRangeExt, Bias, Buffer, LanguageRegistry, OffsetRangeExt, Point, ToOffset};
 use language_model::{
-    logging::report_assistant_event,
-    provider::cloud::{MaxMonthlySpendReachedError, PaymentRequiredError},
     LanguageModel, LanguageModelCacheConfiguration, LanguageModelCompletionEvent,
     LanguageModelImage, LanguageModelRegistry, LanguageModelRequest, LanguageModelRequestMessage,
     LanguageModelRequestTool, LanguageModelToolResult, LanguageModelToolUse, MessageContent, Role,
     StopReason,
 };
+use language_models::{
+    provider::cloud::{MaxMonthlySpendReachedError, PaymentRequiredError},
+    report_assistant_event,
+};
 use open_ai::Model as OpenAiModel;
 use paths::contexts_dir;
 use project::Project;

crates/assistant/src/inline_assistant.rs

@@ -30,9 +30,10 @@ use gpui::{
 };
 use language::{Buffer, IndentKind, Point, Selection, TransactionId};
 use language_model::{
-    logging::report_assistant_event, LanguageModel, LanguageModelRegistry, LanguageModelRequest,
-    LanguageModelRequestMessage, LanguageModelTextStream, Role,
+    LanguageModel, LanguageModelRegistry, LanguageModelRequest, LanguageModelRequestMessage,
+    LanguageModelTextStream, Role,
 };
+use language_models::report_assistant_event;
 use multi_buffer::MultiBufferRow;
 use parking_lot::Mutex;
 use project::{CodeAction, ProjectTransaction};

crates/assistant/src/terminal_inline_assistant.rs

@@ -17,9 +17,9 @@ use gpui::{
 };
 use language::Buffer;
 use language_model::{
-    logging::report_assistant_event, LanguageModelRegistry, LanguageModelRequest,
-    LanguageModelRequestMessage, Role,
+    LanguageModelRegistry, LanguageModelRequest, LanguageModelRequestMessage, Role,
 };
+use language_models::report_assistant_event;
 use settings::Settings;
 use std::{
     cmp,

crates/language_model/Cargo.toml

@@ -13,56 +13,30 @@ path = "src/language_model.rs"
 doctest = false
 
 [features]
-test-support = [
-    "editor/test-support",
-    "language/test-support",
-    "project/test-support",
-    "text/test-support",
-]
+test-support = []
 
 [dependencies]
 anthropic = { workspace = true, features = ["schemars"] }
 anyhow.workspace = true
-client.workspace = true
+base64.workspace = true
 collections.workspace = true
-copilot = { workspace = true, features = ["schemars"] }
-editor.workspace = true
-feature_flags.workspace = true
 futures.workspace = true
 google_ai = { workspace = true, features = ["schemars"] }
 gpui.workspace = true
 http_client.workspace = true
+image.workspace = true
 log.workspace = true
-menu.workspace = true
 ollama = { workspace = true, features = ["schemars"] }
 open_ai = { workspace = true, features = ["schemars"] }
 parking_lot.workspace = true
 proto.workspace = true
-project.workspace = true
 schemars.workspace = true
 serde.workspace = true
 serde_json.workspace = true
-settings.workspace = true
 smol.workspace = true
 strum.workspace = true
-telemetry_events.workspace = true
-theme.workspace = true
-thiserror.workspace = true
-tiktoken-rs.workspace = true
 ui.workspace = true
 util.workspace = true
-base64.workspace = true
-image.workspace = true
-
 
 [dev-dependencies]
-ctor.workspace = true
-editor = { workspace = true, features = ["test-support"] }
-env_logger.workspace = true
-language = { workspace = true, features = ["test-support"] }
-log.workspace = true
-project = { workspace = true, features = ["test-support"] }
-proto = { workspace = true, features = ["test-support"] }
-rand.workspace = true
-text = { workspace = true, features = ["test-support"] }
-unindent.workspace = true
+gpui = { workspace = true, features = ["test-support"] }

crates/language_model/src/language_model.rs

@@ -1,23 +1,19 @@
-pub mod logging;
 mod model;
-pub mod provider;
 mod rate_limiter;
 mod registry;
 mod request;
 mod role;
-pub mod settings;
+
+#[cfg(any(test, feature = "test-support"))]
+pub mod fake_provider;
 
 use anyhow::Result;
-use client::{Client, UserStore};
 use futures::FutureExt;
 use futures::{future::BoxFuture, stream::BoxStream, StreamExt, TryStreamExt as _};
-use gpui::{
-    AnyElement, AnyView, AppContext, AsyncAppContext, Model, SharedString, Task, WindowContext,
-};
+use gpui::{AnyElement, AnyView, AppContext, AsyncAppContext, SharedString, Task, WindowContext};
 pub use model::*;
-use project::Fs;
 use proto::Plan;
-pub(crate) use rate_limiter::*;
+pub use rate_limiter::*;
 pub use registry::*;
 pub use request::*;
 pub use role::*;
@@ -27,14 +23,10 @@ use std::fmt;
 use std::{future::Future, sync::Arc};
 use ui::IconName;
 
-pub fn init(
-    user_store: Model<UserStore>,
-    client: Arc<Client>,
-    fs: Arc<dyn Fs>,
-    cx: &mut AppContext,
-) {
-    settings::init(fs, cx);
-    registry::init(user_store, client, cx);
+pub const ZED_CLOUD_PROVIDER_ID: &str = "zed.dev";
+
+pub fn init(cx: &mut AppContext) {
+    registry::init(cx);
 }
 
 /// The availability of a [`LanguageModel`].
@@ -184,7 +176,7 @@ pub trait LanguageModel: Send + Sync {
     }
 
     #[cfg(any(test, feature = "test-support"))]
-    fn as_fake(&self) -> &provider::fake::FakeLanguageModel {
+    fn as_fake(&self) -> &fake_provider::FakeLanguageModel {
         unimplemented!()
     }
 }

crates/language_model/src/registry.rs

@@ -1,76 +1,17 @@
-use crate::provider::cloud::RefreshLlmTokenListener;
 use crate::{
-    provider::{
-        anthropic::AnthropicLanguageModelProvider, cloud::CloudLanguageModelProvider,
-        copilot_chat::CopilotChatLanguageModelProvider, google::GoogleLanguageModelProvider,
-        ollama::OllamaLanguageModelProvider, open_ai::OpenAiLanguageModelProvider,
-    },
     LanguageModel, LanguageModelId, LanguageModelProvider, LanguageModelProviderId,
     LanguageModelProviderState,
 };
-use client::{Client, UserStore};
 use collections::BTreeMap;
 use gpui::{AppContext, EventEmitter, Global, Model, ModelContext};
 use std::sync::Arc;
 use ui::Context;
 
-pub fn init(user_store: Model<UserStore>, client: Arc<Client>, cx: &mut AppContext) {
-    let registry = cx.new_model(|cx| {
-        let mut registry = LanguageModelRegistry::default();
-        register_language_model_providers(&mut registry, user_store, client, cx);
-        registry
-    });
+pub fn init(cx: &mut AppContext) {
+    let registry = cx.new_model(|_cx| LanguageModelRegistry::default());
     cx.set_global(GlobalLanguageModelRegistry(registry));
 }
 
-fn register_language_model_providers(
-    registry: &mut LanguageModelRegistry,
-    user_store: Model<UserStore>,
-    client: Arc<Client>,
-    cx: &mut ModelContext<LanguageModelRegistry>,
-) {
-    use feature_flags::FeatureFlagAppExt;
-
-    RefreshLlmTokenListener::register(client.clone(), cx);
-
-    registry.register_provider(
-        AnthropicLanguageModelProvider::new(client.http_client(), cx),
-        cx,
-    );
-    registry.register_provider(
-        OpenAiLanguageModelProvider::new(client.http_client(), cx),
-        cx,
-    );
-    registry.register_provider(
-        OllamaLanguageModelProvider::new(client.http_client(), cx),
-        cx,
-    );
-    registry.register_provider(
-        GoogleLanguageModelProvider::new(client.http_client(), cx),
-        cx,
-    );
-    registry.register_provider(CopilotChatLanguageModelProvider::new(cx), cx);
-
-    cx.observe_flag::<feature_flags::LanguageModels, _>(move |enabled, cx| {
-        let user_store = user_store.clone();
-        let client = client.clone();
-        LanguageModelRegistry::global(cx).update(cx, move |registry, cx| {
-            if enabled {
-                registry.register_provider(
-                    CloudLanguageModelProvider::new(user_store.clone(), client.clone(), cx),
-                    cx,
-                );
-            } else {
-                registry.unregister_provider(
-                    LanguageModelProviderId::from(crate::provider::cloud::PROVIDER_ID.to_string()),
-                    cx,
-                );
-            }
-        });
-    })
-    .detach();
-}
-
 struct GlobalLanguageModelRegistry(Model<LanguageModelRegistry>);
 
 impl Global for GlobalLanguageModelRegistry {}
@@ -106,8 +47,8 @@ impl LanguageModelRegistry {
     }
 
     #[cfg(any(test, feature = "test-support"))]
-    pub fn test(cx: &mut AppContext) -> crate::provider::fake::FakeLanguageModelProvider {
-        let fake_provider = crate::provider::fake::FakeLanguageModelProvider;
+    pub fn test(cx: &mut AppContext) -> crate::fake_provider::FakeLanguageModelProvider {
+        let fake_provider = crate::fake_provider::FakeLanguageModelProvider;
         let registry = cx.new_model(|cx| {
             let mut registry = Self::default();
             registry.register_provider(fake_provider.clone(), cx);
@@ -148,7 +89,7 @@ impl LanguageModelRegistry {
     }
 
     pub fn providers(&self) -> Vec<Arc<dyn LanguageModelProvider>> {
-        let zed_provider_id = LanguageModelProviderId(crate::provider::cloud::PROVIDER_ID.into());
+        let zed_provider_id = LanguageModelProviderId("zed.dev".into());
         let mut providers = Vec::with_capacity(self.providers.len());
         if let Some(provider) = self.providers.get(&zed_provider_id) {
             providers.push(provider.clone());
@@ -269,7 +210,7 @@ impl LanguageModelRegistry {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use crate::provider::fake::FakeLanguageModelProvider;
+    use crate::fake_provider::FakeLanguageModelProvider;
 
     #[gpui::test]
     fn test_register_providers(cx: &mut AppContext) {
@@ -281,10 +222,10 @@ mod tests {
 
         let providers = registry.read(cx).providers();
         assert_eq!(providers.len(), 1);
-        assert_eq!(providers[0].id(), crate::provider::fake::provider_id());
+        assert_eq!(providers[0].id(), crate::fake_provider::provider_id());
 
         registry.update(cx, |registry, cx| {
-            registry.unregister_provider(crate::provider::fake::provider_id(), cx);
+            registry.unregister_provider(crate::fake_provider::provider_id(), cx);
         });
 
         let providers = registry.read(cx).providers();

crates/language_models/Cargo.toml

@@ -0,0 +1,49 @@
+[package]
+name = "language_models"
+version = "0.1.0"
+edition = "2021"
+publish = false
+license = "GPL-3.0-or-later"
+
+[lints]
+workspace = true
+
+[lib]
+path = "src/language_models.rs"
+
+[dependencies]
+anthropic = { workspace = true, features = ["schemars"] }
+anyhow.workspace = true
+client.workspace = true
+collections.workspace = true
+copilot = { workspace = true, features = ["schemars"] }
+editor.workspace = true
+feature_flags.workspace = true
+fs.workspace = true
+futures.workspace = true
+google_ai = { workspace = true, features = ["schemars"] }
+gpui.workspace = true
+http_client.workspace = true
+language_model.workspace = true
+menu.workspace = true
+ollama = { workspace = true, features = ["schemars"] }
+open_ai = { workspace = true, features = ["schemars"] }
+project.workspace = true
+proto.workspace = true
+schemars.workspace = true
+serde.workspace = true
+serde_json.workspace = true
+settings.workspace = true
+smol.workspace = true
+strum.workspace = true
+telemetry_events.workspace = true
+theme.workspace = true
+thiserror.workspace = true
+tiktoken-rs.workspace = true
+ui.workspace = true
+util.workspace = true
+
+[dev-dependencies]
+editor = { workspace = true, features = ["test-support"] }
+language_model = { workspace = true, features = ["test-support"] }
+project = { workspace = true, features = ["test-support"] }

crates/language_models/LICENSE-GPL

@@ -0,0 +1 @@
+../../LICENSE-GPL

crates/language_models/src/language_models.rs

@@ -0,0 +1,80 @@
+use std::sync::Arc;
+
+use client::{Client, UserStore};
+use fs::Fs;
+use gpui::{AppContext, Model, ModelContext};
+use language_model::{LanguageModelProviderId, LanguageModelRegistry, ZED_CLOUD_PROVIDER_ID};
+
+mod logging;
+pub mod provider;
+mod settings;
+
+use crate::provider::anthropic::AnthropicLanguageModelProvider;
+use crate::provider::cloud::{CloudLanguageModelProvider, RefreshLlmTokenListener};
+use crate::provider::copilot_chat::CopilotChatLanguageModelProvider;
+use crate::provider::google::GoogleLanguageModelProvider;
+use crate::provider::ollama::OllamaLanguageModelProvider;
+use crate::provider::open_ai::OpenAiLanguageModelProvider;
+pub use crate::settings::*;
+pub use logging::report_assistant_event;
+
+pub fn init(
+    user_store: Model<UserStore>,
+    client: Arc<Client>,
+    fs: Arc<dyn Fs>,
+    cx: &mut AppContext,
+) {
+    crate::settings::init(fs, cx);
+    let registry = LanguageModelRegistry::global(cx);
+    registry.update(cx, |registry, cx| {
+        register_language_model_providers(registry, user_store, client, cx);
+    });
+}
+
+fn register_language_model_providers(
+    registry: &mut LanguageModelRegistry,
+    user_store: Model<UserStore>,
+    client: Arc<Client>,
+    cx: &mut ModelContext<LanguageModelRegistry>,
+) {
+    use feature_flags::FeatureFlagAppExt;
+
+    RefreshLlmTokenListener::register(client.clone(), cx);
+
+    registry.register_provider(
+        AnthropicLanguageModelProvider::new(client.http_client(), cx),
+        cx,
+    );
+    registry.register_provider(
+        OpenAiLanguageModelProvider::new(client.http_client(), cx),
+        cx,
+    );
+    registry.register_provider(
+        OllamaLanguageModelProvider::new(client.http_client(), cx),
+        cx,
+    );
+    registry.register_provider(
+        GoogleLanguageModelProvider::new(client.http_client(), cx),
+        cx,
+    );
+    registry.register_provider(CopilotChatLanguageModelProvider::new(cx), cx);
+
+    cx.observe_flag::<feature_flags::LanguageModels, _>(move |enabled, cx| {
+        let user_store = user_store.clone();
+        let client = client.clone();
+        LanguageModelRegistry::global(cx).update(cx, move |registry, cx| {
+            if enabled {
+                registry.register_provider(
+                    CloudLanguageModelProvider::new(user_store.clone(), client.clone(), cx),
+                    cx,
+                );
+            } else {
+                registry.unregister_provider(
+                    LanguageModelProviderId::from(ZED_CLOUD_PROVIDER_ID.to_string()),
+                    cx,
+                );
+            }
+        });
+    })
+    .detach();
+}

crates/language_models/src/provider.rs

@@ -1,8 +1,6 @@
 pub mod anthropic;
 pub mod cloud;
 pub mod copilot_chat;
-#[cfg(any(test, feature = "test-support"))]
-pub mod fake;
 pub mod google;
 pub mod ollama;
 pub mod open_ai;

crates/language_models/src/provider/anthropic.rs

@@ -1,9 +1,4 @@
-use crate::{
-    settings::AllLanguageModelSettings, LanguageModel, LanguageModelCacheConfiguration,
-    LanguageModelId, LanguageModelName, LanguageModelProvider, LanguageModelProviderId,
-    LanguageModelProviderName, LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
-};
-use crate::{LanguageModelCompletionEvent, LanguageModelToolUse, StopReason};
+use crate::AllLanguageModelSettings;
 use anthropic::{AnthropicError, ContentDelta, Event, ResponseContent};
 use anyhow::{anyhow, Context as _, Result};
 use collections::{BTreeMap, HashMap};
@@ -15,6 +10,12 @@ use gpui::{
     View, WhiteSpace,
 };
 use http_client::HttpClient;
+use language_model::{
+    LanguageModel, LanguageModelCacheConfiguration, LanguageModelId, LanguageModelName,
+    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
+    LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
+};
+use language_model::{LanguageModelCompletionEvent, LanguageModelToolUse, StopReason};
 use schemars::JsonSchema;
 use serde::{Deserialize, Serialize};
 use settings::{Settings, SettingsStore};
@@ -256,7 +257,7 @@ pub fn count_anthropic_tokens(
             let mut string_messages = Vec::with_capacity(messages.len());
 
             for message in messages {
-                use crate::MessageContent;
+                use language_model::MessageContent;
 
                 let mut string_contents = String::new();
 

crates/language_models/src/provider/cloud.rs

@@ -1,10 +1,4 @@
 use super::open_ai::count_open_ai_tokens;
-use crate::provider::anthropic::map_to_language_model_completion_events;
-use crate::{
-    settings::AllLanguageModelSettings, CloudModel, LanguageModel, LanguageModelCacheConfiguration,
-    LanguageModelId, LanguageModelName, LanguageModelProviderId, LanguageModelProviderName,
-    LanguageModelProviderState, LanguageModelRequest, RateLimiter,
-};
 use anthropic::AnthropicError;
 use anyhow::{anyhow, Result};
 use client::{
@@ -22,6 +16,14 @@ use gpui::{
     ModelContext, ReadGlobal, Subscription, Task,
 };
 use http_client::{AsyncBody, HttpClient, Method, Response, StatusCode};
+use language_model::{
+    CloudModel, LanguageModel, LanguageModelCacheConfiguration, LanguageModelId, LanguageModelName,
+    LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
+    LanguageModelRequest, RateLimiter, ZED_CLOUD_PROVIDER_ID,
+};
+use language_model::{
+    LanguageModelAvailability, LanguageModelCompletionEvent, LanguageModelProvider,
+};
 use proto::TypedEnvelope;
 use schemars::JsonSchema;
 use serde::{de::DeserializeOwned, Deserialize, Serialize};
@@ -40,11 +42,11 @@ use strum::IntoEnumIterator;
 use thiserror::Error;
 use ui::{prelude::*, TintColor};
 
-use crate::{LanguageModelAvailability, LanguageModelCompletionEvent, LanguageModelProvider};
+use crate::provider::anthropic::map_to_language_model_completion_events;
+use crate::AllLanguageModelSettings;
 
 use super::anthropic::count_anthropic_tokens;
 
-pub const PROVIDER_ID: &str = "zed.dev";
 pub const PROVIDER_NAME: &str = "Zed";
 
 const ZED_CLOUD_PROVIDER_ADDITIONAL_MODELS_JSON: Option<&str> =
@@ -255,7 +257,7 @@ impl LanguageModelProviderState for CloudLanguageModelProvider {
 
 impl LanguageModelProvider for CloudLanguageModelProvider {
     fn id(&self) -> LanguageModelProviderId {
-        LanguageModelProviderId(PROVIDER_ID.into())
+        LanguageModelProviderId(ZED_CLOUD_PROVIDER_ID.into())
     }
 
     fn name(&self) -> LanguageModelProviderName {
@@ -535,7 +537,7 @@ impl LanguageModel for CloudLanguageModel {
     }
 
     fn provider_id(&self) -> LanguageModelProviderId {
-        LanguageModelProviderId(PROVIDER_ID.into())
+        LanguageModelProviderId(ZED_CLOUD_PROVIDER_ID.into())
     }
 
     fn provider_name(&self) -> LanguageModelProviderName {

crates/language_models/src/provider/copilot_chat.rs

@@ -14,6 +14,11 @@ use gpui::{
     percentage, svg, Animation, AnimationExt, AnyView, AppContext, AsyncAppContext, Model, Render,
     Subscription, Task, Transformation,
 };
+use language_model::{
+    LanguageModel, LanguageModelCompletionEvent, LanguageModelId, LanguageModelName,
+    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
+    LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
+};
 use settings::SettingsStore;
 use std::time::Duration;
 use strum::IntoEnumIterator;
@@ -23,12 +28,6 @@ use ui::{
     ViewContext, VisualContext, WindowContext,
 };
 
-use crate::{
-    LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,
-    LanguageModelProviderId, LanguageModelProviderName, LanguageModelRequest, RateLimiter, Role,
-};
-use crate::{LanguageModelCompletionEvent, LanguageModelProviderState};
-
 use super::anthropic::count_anthropic_tokens;
 use super::open_ai::count_open_ai_tokens;
 

crates/language_models/src/provider/google.rs

@@ -8,6 +8,12 @@ use gpui::{
     View, WhiteSpace,
 };
 use http_client::HttpClient;
+use language_model::LanguageModelCompletionEvent;
+use language_model::{
+    LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,
+    LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
+    LanguageModelRequest, RateLimiter,
+};
 use schemars::JsonSchema;
 use serde::{Deserialize, Serialize};
 use settings::{Settings, SettingsStore};
@@ -17,12 +23,7 @@ use theme::ThemeSettings;
 use ui::{prelude::*, Icon, IconName, Tooltip};
 use util::ResultExt;
 
-use crate::LanguageModelCompletionEvent;
-use crate::{
-    settings::AllLanguageModelSettings, LanguageModel, LanguageModelId, LanguageModelName,
-    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
-    LanguageModelProviderState, LanguageModelRequest, RateLimiter,
-};
+use crate::AllLanguageModelSettings;
 
 const PROVIDER_ID: &str = "google";
 const PROVIDER_NAME: &str = "Google AI";

crates/language_models/src/provider/ollama.rs

@@ -2,6 +2,12 @@ use anyhow::{anyhow, bail, Result};
 use futures::{future::BoxFuture, stream::BoxStream, FutureExt, StreamExt};
 use gpui::{AnyView, AppContext, AsyncAppContext, ModelContext, Subscription, Task};
 use http_client::HttpClient;
+use language_model::LanguageModelCompletionEvent;
+use language_model::{
+    LanguageModel, LanguageModelId, LanguageModelName, LanguageModelProvider,
+    LanguageModelProviderId, LanguageModelProviderName, LanguageModelProviderState,
+    LanguageModelRequest, RateLimiter, Role,
+};
 use ollama::{
     get_models, preload_model, stream_chat_completion, ChatMessage, ChatOptions, ChatRequest,
     ChatResponseDelta, KeepAlive, OllamaToolCall,
@@ -13,12 +19,7 @@ use std::{collections::BTreeMap, sync::Arc};
 use ui::{prelude::*, ButtonLike, Indicator};
 use util::ResultExt;
 
-use crate::LanguageModelCompletionEvent;
-use crate::{
-    settings::AllLanguageModelSettings, LanguageModel, LanguageModelId, LanguageModelName,
-    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
-    LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
-};
+use crate::AllLanguageModelSettings;
 
 const OLLAMA_DOWNLOAD_URL: &str = "https://ollama.com/download";
 const OLLAMA_LIBRARY_URL: &str = "https://ollama.com/library";

crates/language_models/src/provider/open_ai.rs

@@ -7,6 +7,11 @@ use gpui::{
     View, WhiteSpace,
 };
 use http_client::HttpClient;
+use language_model::{
+    LanguageModel, LanguageModelCompletionEvent, LanguageModelId, LanguageModelName,
+    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
+    LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
+};
 use open_ai::{
     stream_completion, FunctionDefinition, ResponseStreamEvent, ToolChoice, ToolDefinition,
 };
@@ -19,12 +24,7 @@ use theme::ThemeSettings;
 use ui::{prelude::*, Icon, IconName, Tooltip};
 use util::ResultExt;
 
-use crate::LanguageModelCompletionEvent;
-use crate::{
-    settings::AllLanguageModelSettings, LanguageModel, LanguageModelId, LanguageModelName,
-    LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
-    LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
-};
+use crate::AllLanguageModelSettings;
 
 const PROVIDER_ID: &str = "openai";
 const PROVIDER_NAME: &str = "OpenAI";

crates/language_models/src/settings.rs

@@ -2,22 +2,20 @@ use std::sync::Arc;
 
 use anyhow::Result;
 use gpui::AppContext;
+use language_model::LanguageModelCacheConfiguration;
 use project::Fs;
 use schemars::JsonSchema;
 use serde::{Deserialize, Serialize};
 use settings::{update_settings_file, Settings, SettingsSources};
 
-use crate::{
-    provider::{
-        self,
-        anthropic::AnthropicSettings,
-        cloud::{self, ZedDotDevSettings},
-        copilot_chat::CopilotChatSettings,
-        google::GoogleSettings,
-        ollama::OllamaSettings,
-        open_ai::OpenAiSettings,
-    },
-    LanguageModelCacheConfiguration,
+use crate::provider::{
+    self,
+    anthropic::AnthropicSettings,
+    cloud::{self, ZedDotDevSettings},
+    copilot_chat::CopilotChatSettings,
+    google::GoogleSettings,
+    ollama::OllamaSettings,
+    open_ai::OpenAiSettings,
 };
 
 /// Initializes the language model settings.

crates/zed/Cargo.toml

@@ -61,6 +61,7 @@ install_cli.workspace = true
 journal.workspace = true
 language.workspace = true
 language_model.workspace = true
+language_models.workspace = true
 language_selector.workspace = true
 language_tools.workspace = true
 languages = { workspace = true, features = ["load-grammars"] }

crates/zed/src/main.rs

@@ -387,7 +387,8 @@ fn main() {
             cx,
         );
         supermaven::init(app_state.client.clone(), cx);
-        language_model::init(
+        language_model::init(cx);
+        language_models::init(
             app_state.user_store.clone(),
             app_state.client.clone(),
             app_state.fs.clone(),

crates/zed/src/zed.rs

@@ -3504,7 +3504,8 @@ mod tests {
                 app_state.client.http_client().clone(),
                 cx,
             );
-            language_model::init(
+            language_model::init(cx);
+            language_models::init(
                 app_state.user_store.clone(),
                 app_state.client.clone(),
                 app_state.fs.clone(),