fmt: cargo fmt

worker/examples/llm_client_gemini.rs

@@ -111,8 +111,8 @@ impl Handler<UsageKind> for UsageTracker {
 #[tokio::main]
 async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // APIキーを環境変数から取得
-    let api_key = std::env::var("GEMINI_API_KEY")
-        .expect("GEMINI_API_KEY environment variable must be set");
+    let api_key =
+        std::env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable must be set");
 
     println!("=== Gemini LLM Client + Timeline Integration Example ===\n");
 

worker/examples/record_test_fixtures/main.rs

@@ -16,9 +16,6 @@
 //! ANTHROPIC_API_KEY=your-key cargo run --example record_test_fixtures -- --all
 //! ```
 
-
-
-
 mod recorder;
 mod scenarios;
 
@@ -82,7 +79,8 @@ async fn run_scenario_with_openai(
     subdir: &str,
     model: Option<String>,
 ) -> Result<(), Box<dyn std::error::Error>> {
-    let api_key = std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY environment variable must be set");
+    let api_key =
+        std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY environment variable must be set");
     let model = model.as_deref().unwrap_or("gpt-4o");
     let client = OpenAIClient::new(&api_key, model);
 
@@ -125,8 +123,8 @@ async fn run_scenario_with_gemini(
     subdir: &str,
     model: Option<String>,
 ) -> Result<(), Box<dyn std::error::Error>> {
-    let api_key = std::env::var("GEMINI_API_KEY")
-        .expect("GEMINI_API_KEY environment variable must be set");
+    let api_key =
+        std::env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable must be set");
     let model = model.as_deref().unwrap_or("gemini-2.0-flash");
     let client = GeminiClient::new(&api_key, model);
 
@@ -142,9 +140,6 @@ async fn run_scenario_with_gemini(
     Ok(())
 }
 
-
-
-
 #[tokio::main]
 async fn main() -> Result<(), Box<dyn std::error::Error>> {
     dotenv::dotenv().ok();
@@ -173,13 +168,13 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
             .collect();
 
         if found.is_empty() {
-             eprintln!("Error: Unknown scenario '{}'", scenario_name);
-             // Verify correct name by listing
-             println!("Available scenarios:");
-             for s in scenarios::scenarios() {
-                 println!("  {}", s.output_name);
-             }
-             std::process::exit(1);
+            eprintln!("Error: Unknown scenario '{}'", scenario_name);
+            // Verify correct name by listing
+            println!("Available scenarios:");
+            for s in scenarios::scenarios() {
+                println!("  {}", s.output_name);
+            }
+            std::process::exit(1);
         }
         found
     };
@@ -201,12 +196,20 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // シナリオのフィルタリングは main.rs のロジックで実行済み
     // ここでは単純なループで実行
     for scenario in scenarios_to_run {
-         match args.client {
-             ClientType::Anthropic => run_scenario_with_anthropic(&scenario, subdir, args.model.clone()).await?,
-             ClientType::Gemini => run_scenario_with_gemini(&scenario, subdir, args.model.clone()).await?,
-             ClientType::Openai => run_scenario_with_openai(&scenario, subdir, args.model.clone()).await?,
-             ClientType::Ollama => run_scenario_with_ollama(&scenario, subdir, args.model.clone()).await?,
-         }
+        match args.client {
+            ClientType::Anthropic => {
+                run_scenario_with_anthropic(&scenario, subdir, args.model.clone()).await?
+            }
+            ClientType::Gemini => {
+                run_scenario_with_gemini(&scenario, subdir, args.model.clone()).await?
+            }
+            ClientType::Openai => {
+                run_scenario_with_openai(&scenario, subdir, args.model.clone()).await?
+            }
+            ClientType::Ollama => {
+                run_scenario_with_ollama(&scenario, subdir, args.model.clone()).await?
+            }
+        }
     }
 
     println!("\n✅ Done!");

worker/examples/worker_cli.rs

@@ -38,14 +38,14 @@ use tracing_subscriber::EnvFilter;
 
 use clap::{Parser, ValueEnum};
 use worker::{
+    Handler, TextBlockEvent, TextBlockKind, ToolUseBlockEvent, ToolUseBlockKind, Worker,
     llm_client::{
+        LlmClient,
         providers::{
             anthropic::AnthropicClient, gemini::GeminiClient, ollama::OllamaClient,
             openai::OpenAIClient,
         },
-        LlmClient,
     },
-    Handler, TextBlockEvent, TextBlockKind, ToolUseBlockEvent, ToolUseBlockKind, Worker,
 };
 use worker_macros::tool_registry;
 use worker_types::Message;
@@ -310,9 +310,8 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // ロギング初期化
     // RUST_LOG=debug cargo run --example worker_cli ... で詳細ログ表示
     // デフォルトは warn レベル、RUST_LOG 環境変数で上書き可能
-    let filter = EnvFilter::try_from_default_env()
-        .unwrap_or_else(|_| EnvFilter::new("warn"));
-    
+    let filter = EnvFilter::try_from_default_env().unwrap_or_else(|_| EnvFilter::new("warn"));
+
     tracing_subscriber::fmt()
         .with_env_filter(filter)
         .with_target(true)
@@ -320,7 +319,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
 
     // CLI引数をパース
     let args = Args::parse();
-    
+
     info!(
         provider = ?args.provider,
         model = ?args.model,