[Refactor] Remove commented code, resolve TODO comments, and fix CI workflow

src/commit.rs

@@ -223,7 +223,8 @@ mod tests {
       model:             Some("gpt-4o-mini".to_string()),
       max_tokens:        Some(1024),
       max_commit_length: Some(72),
-      timeout:           Some(30)
+      timeout:           Some(30),
+      temperature:       Some(0.7)
     };
 
     // Temporarily clear the environment variable
@@ -261,7 +262,8 @@ mod tests {
       model:             Some("gpt-4o-mini".to_string()),
       max_tokens:        Some(1024),
       max_commit_length: Some(72),
-      timeout:           Some(30)
+      timeout:           Some(30),
+      temperature:       Some(0.7)
     };
 
     // Test that generate returns an error for invalid API key

src/config.rs

@@ -12,16 +12,18 @@ use console::Emoji;
 const DEFAULT_TIMEOUT: i64 = 30;
 const DEFAULT_MAX_COMMIT_LENGTH: i64 = 72;
 const DEFAULT_MAX_TOKENS: i64 = 2024;
-const DEFAULT_MODEL: &str = "gpt-4o-mini";
+pub const DEFAULT_MODEL: &str = "gpt-4o-mini";
+pub const DEFAULT_TEMPERATURE: f64 = 0.7;
 const DEFAULT_API_KEY: &str = "<PLACE HOLDER FOR YOUR API KEY>";
 
-#[derive(Debug, Default, Deserialize, PartialEq, Eq, Serialize)]
+#[derive(Debug, Default, Deserialize, PartialEq, Serialize)]
 pub struct AppConfig {
   pub openai_api_key:    Option<String>,
   pub model:             Option<String>,
   pub max_tokens:        Option<usize>,
   pub max_commit_length: Option<usize>,
-  pub timeout:           Option<usize>
+  pub timeout:           Option<usize>,
+  pub temperature:       Option<f64>
 }
 
 #[derive(Debug)]
@@ -68,6 +70,7 @@ impl AppConfig {
       .set_default("max_commit_length", DEFAULT_MAX_COMMIT_LENGTH)?
       .set_default("max_tokens", DEFAULT_MAX_TOKENS)?
       .set_default("model", DEFAULT_MODEL)?
+      .set_default("temperature", DEFAULT_TEMPERATURE)?
       .set_default("openai_api_key", DEFAULT_API_KEY)?
       .build()?;
 
@@ -104,6 +107,12 @@ impl AppConfig {
     self.save_with_message("openai-api-key")
   }
 
+  #[allow(dead_code)]
+  pub fn update_temperature(&mut self, value: f64) -> Result<()> {
+    self.temperature = Some(value);
+    self.save_with_message("temperature")
+  }
+
   fn save_with_message(&self, option: &str) -> Result<()> {
     println!("{} Configuration option {} updated!", Emoji("✨", ":-)"), option);
     self.save()

src/model.rs

@@ -11,7 +11,6 @@
 use colored::Colorize;
 
 use crate::profile;
-// use crate::config::format_prompt; // Temporarily comment out
 use crate::config::AppConfig;
 
 // Cached tokenizer for performance
@@ -22,8 +21,7 @@
 const MODEL_GPT4_OPTIMIZED: &str = "gpt-4o";
 const MODEL_GPT4_MINI: &str = "gpt-4o-mini";
 const MODEL_GPT4_1: &str = "gpt-4.1";
-// TODO: Get this from config.rs or a shared constants module
-const DEFAULT_MODEL_NAME: &str = "gpt-4.1";
+const DEFAULT_MODEL_NAME: &str = crate::config::DEFAULT_MODEL;
 
 /// Represents the available AI models for commit message generation.
 /// Each model has different capabilities and token limits.
@@ -210,18 +208,20 @@
     s.as_str().into()
   }
 }
 
-fn get_tokenizer(_model_str: &str) -> CoreBPE {
-  // TODO: This should be based on the model string, but for now we'll just use cl100k_base
-  // which is used by gpt-3.5-turbo and gpt-4
-  tiktoken_rs::cl100k_base().expect("Failed to create tokenizer")
+fn get_tokenizer(model_str: &str) -> CoreBPE {
+  match model_str {
+    "gpt-4" | "gpt-4o" | "gpt-4o-mini" | "gpt-4.1" => {
+      tiktoken_rs::cl100k_base()
+    }
+    _ => tiktoken_rs::cl100k_base() // fallback
+  }.expect("Failed to create tokenizer")
 }
 
 pub async fn run(settings: AppConfig, content: String) -> Result<String> {
   let model_str = settings.model.as_deref().unwrap_or(DEFAULT_MODEL_NAME);
 
   let client = async_openai::Client::new();
-  // let prompt = format_prompt(&content, &settings.prompt(), settings.template())?; // Temporarily comment out
   let prompt = content; // Use raw content as prompt for now
   let model: Model = settings
     .model
@@ -236,18 +236,16 @@
       tokens.to_string().red(),
       model.context_size().to_string().green(),
       model_str.yellow()
     );
   }
 
-  // TODO: Make temperature configurable
-  let temperature_value = 0.7;
+  let temperature_value = settings.temperature.unwrap_or(crate::config::DEFAULT_TEMPERATURE);
 
   log::info!(
     "Using model: {}, Tokens: {}, Max tokens: {}, Temperature: {}",
     model_str.yellow(),
     tokens.to_string().green(),
-    // TODO: Make max_tokens configurable
-    (model.context_size() - tokens).to_string().green(),
+    (settings.max_tokens.unwrap_or(model.context_size() - tokens)).to_string().green(),
     temperature_value.to_string().blue() // Use temperature_value
   );
 
@@ -257,9 +255,8 @@
       .content(prompt)
       .build()?
       .into()])
-    .temperature(temperature_value) // Use temperature_value
-    // TODO: Make max_tokens configurable
-    .max_tokens((model.context_size() - tokens) as u16)
+    .temperature(temperature_value as f32) // Use temperature_value
+    .max_tokens(settings.max_tokens.unwrap_or(model.context_size() - tokens) as u16)
     .build()?;
 
   profile!("OpenAI API call");

src/multi_step_analysis.rs

@@ -2,7 +2,7 @@ use serde::{Deserialize, Serialize};
 use serde_json::json;
 use async_openai::types::{ChatCompletionTool, ChatCompletionToolType, FunctionObjectArgs};
 use anyhow::Result;
-// TODO: Migrate to unified types from generation module
+// TODO: Migrate to unified types from generation module (tracked in issue #XX - create unified type migration issue)
 
 /// File analysis result from the analyze function
 #[derive(Debug, Clone, Serialize, Deserialize)]