PARTIAL feat: Integrate Anthropic models via Vertex AI

This commit introduces a new language model provider,
`anthropic_vertex_ai`, that integrates Anthropic's models via the Google
Cloud Vertex AI platform. The implementation uses Google Cloud's
Application Default Credentials (ADC) for authentication and fetches
`project_id` and `location_id` from the user's settings.

crates/language_models/Cargo.toml

@@ -33,6 +33,7 @@ fs.workspace = true
 futures.workspace = true
 google_ai = { workspace = true, features = ["schemars"] }
 google_vertex_ai = { workspace = true, features = ["schemars"] }
+anthropic_vertex_ai = { workspace = true, features = ["schemars"] }
 gpui.workspace = true
 gpui_tokio.workspace = true
 http_client.workspace = true

crates/language_models/src/language_models.rs

@@ -10,6 +10,7 @@ mod settings;
 pub mod ui;
 
 use crate::provider::anthropic::AnthropicLanguageModelProvider;
+use crate::provider::anthropic_vertex::AnthropicVertexLanguageModelProvider;
 use crate::provider::bedrock::BedrockLanguageModelProvider;
 use crate::provider::cloud::CloudLanguageModelProvider;
 use crate::provider::copilot_chat::CopilotChatLanguageModelProvider;
@@ -72,6 +73,11 @@ fn register_language_model_providers(
         GoogleVertexLanguageModelProvider::new(client.http_client(), cx),
         cx,
     );
+    registry.register_provider(
+        // NEW REGISTRATION BY DIAB
+        AnthropicVertexLanguageModelProvider::new(client.http_client(), cx),
+        cx,
+    );
     registry.register_provider(
         MistralLanguageModelProvider::new(client.http_client(), cx),
         cx,

crates/language_models/src/provider.rs

@@ -1,4 +1,5 @@
 pub mod anthropic;
+pub mod anthropic_vertex;
 pub mod bedrock;
 pub mod cloud;
 pub mod copilot_chat;

crates/language_models/src/settings.rs

@@ -7,6 +7,7 @@ use settings::{Settings, SettingsSources};
 use crate::provider::{
     self,
     anthropic::AnthropicSettings,
+    anthropic_vertex::AnthropicVertexSettings,
     bedrock::AmazonBedrockSettings,
     cloud::{self, ZedDotDevSettings},
     deepseek::DeepSeekSettings,
@@ -33,6 +34,7 @@ pub struct AllLanguageModelSettings {
     pub deepseek: DeepSeekSettings,
     pub google: GoogleSettings,
     pub google_vertex: GoogleVertexSettings,
+    pub anthropic_vertex: AnthropicVertexSettings,
     pub lmstudio: LmStudioSettings,
     pub mistral: MistralSettings,
     pub ollama: OllamaSettings,
@@ -50,6 +52,7 @@ pub struct AllLanguageModelSettingsContent {
     pub deepseek: Option<DeepseekSettingsContent>,
     pub google: Option<GoogleSettingsContent>,
     pub google_vertex: Option<GoogleVertexSettingsContent>,
+    pub anthropic_vertex: Option<AnthropicVertexSettingsContent>,
     pub lmstudio: Option<LmStudioSettingsContent>,
     pub mistral: Option<MistralSettingsContent>,
     pub ollama: Option<OllamaSettingsContent>,
@@ -126,6 +129,14 @@ pub struct GoogleVertexSettingsContent {
     pub available_models: Option<Vec<provider::google_vertex::AvailableModel>>,
 }
 
+#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
+pub struct AnthropicVertexSettingsContent {
+    pub api_url: Option<String>,
+    pub project_id: Option<String>,  // ADDED
+    pub location_id: Option<String>, // ADDED
+    pub available_models: Option<Vec<provider::anthropic_vertex::AvailableModel>>,
+}
+
 #[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
 pub struct XAiSettingsContent {
     pub api_url: Option<String>,
@@ -322,6 +333,29 @@ impl settings::Settings for AllLanguageModelSettings {
                     .as_ref()
                     .and_then(|s| s.location_id.clone()),
             );
+
+            // Anthropic Vertex AI
+            merge(
+                &mut settings.anthropic_vertex.api_url,
+                value
+                    .anthropic_vertex
+                    .as_ref()
+                    .and_then(|s| s.api_url.clone()),
+            );
+            merge(
+                &mut settings.anthropic_vertex.project_id,
+                value
+                    .anthropic_vertex
+                    .as_ref()
+                    .and_then(|s| s.project_id.clone()),
+            );
+            merge(
+                &mut settings.anthropic_vertex.location_id,
+                value
+                    .anthropic_vertex
+                    .as_ref()
+                    .and_then(|s| s.location_id.clone()),
+            );
         }
 
         Ok(settings)