fix clippy errors

integration/cli/build.rs

@@ -25,7 +25,7 @@ fn run_build() -> io::Result<()> {
     let output_path = out_dir.join("client-cli");
 
     let bun_tgt = BunTarget::from_cargo_env()
-        .map_err(|e| io::Error::new(io::ErrorKind::Other, e.to_string()))?;
+        .map_err(|e| io::Error::other(e.to_string()))?;
 
     // Optional: warn if using a Bun target that’s marked unsupported in your chart
     if matches!(bun_tgt, BunTarget::WindowsArm64) {
@@ -54,13 +54,12 @@ fn run_build() -> io::Result<()> {
 
     if !install_status.success() {
         let code = install_status.code().unwrap_or(1);
-        return Err(io::Error::new(
-            io::ErrorKind::Other,
+        return Err(io::Error::other(
             format!("bun install failed with status {code}"),
         ));
     }
 
-    let target = env::var("TARGET").unwrap();
+    let _target = env::var("TARGET").unwrap();
 
     // --- bun build (in ./package), emit to OUT_DIR, keep temps inside OUT_DIR ---
     let mut build = Command::new("bun")
@@ -87,7 +86,7 @@ fn run_build() -> io::Result<()> {
     } else {
         let code = status.code().unwrap_or(1);
         warn(&format!("bun build failed with status: {code}"));
-        return Err(io::Error::new(io::ErrorKind::Other, "bun build failed"));
+        return Err(io::Error::other("bun build failed"));
     }
 
     // Ensure the output is executable (after it exists)

integration/gemma-runner/src/gemma_api.rs

@@ -191,8 +191,6 @@ impl TextGeneration {
         // Make sure stdout isn't holding anything (if caller also prints).
         std::io::stdout().flush()?;
 
-        let mut _generated_tokens = 0usize;
-
         let eos_token = match self.tokenizer.get_token("<eos>") {
             Some(token) => token,
             None => anyhow::bail!("cannot find the <eos> token"),
@@ -207,7 +205,7 @@ impl TextGeneration {
 
         let start_gen = std::time::Instant::now();
 
-        for index in 0..sample_len {
+        for (_generated_tokens, index) in (0..sample_len).enumerate() {
             let context_size = if index > 0 { 1 } else { tokens.len() };
             let start_pos = tokens.len().saturating_sub(context_size);
             let ctxt = &tokens[start_pos..];
@@ -229,7 +227,6 @@ impl TextGeneration {
 
             let next_token = self.logits_processor.sample(&logits)?;
             tokens.push(next_token);
-            _generated_tokens += 1;
 
             if next_token == eos_token || next_token == eot_token {
                 break;

integration/gemma-runner/src/gemma_cli.rs

@@ -67,7 +67,7 @@ pub fn run_cli() -> anyhow::Result<()> {
     let cfg = GemmaInferenceConfig {
         tracing: args.tracing,
         prompt: args.prompt,
-        model: args.model,
+        model: Some(args.model),
         cpu: args.cpu,
         dtype: args.dtype,
         model_id: args.model_id,

integration/llama-runner/src/lib.rs

@@ -1,6 +1,5 @@
 pub mod llama_api;
 
-use clap::ValueEnum;
 pub use llama_api::{run_llama_inference, LlamaInferenceConfig, WhichModel};
 
 // Re-export constants and types that might be needed

integration/utils/src/lib.rs

@@ -126,7 +126,7 @@ pub fn hub_load_safetensors(
         .iter()
         .map(|v| {
             repo.get(v)
-                .map_err(|e| std::io::Error::new(std::io::ErrorKind::Other, e))
+                .map_err(|e| std::io::Error::other(e))
         })
         .collect::<Result<Vec<_>, std::io::Error>>()?;
     Ok(safetensors_files)