feat(ai): Add comprehensive pre-commit AI code review

Introduces a robust system for running automated, staged diff reviews against various large language models. This feature allows users to submit their changes to external AI services and receive structured feedback on potential bugs, security issues, and maintainability risks before committing.

The implementation covers the entire stack:
*   Backend logic was added to handle API communication with OpenAI, Anthropic, and custom endpoints.
*   A dedicated parser ensures that complex JSON outputs from LLMs are reliably converted into structured findings (severity, title, description).
*   New components and UI elements provide a clear visualization of the AI's assessment and actionable suggestions.

- Supports multiple major LLM providers (OpenAI, Anthropic)
- Parses structured JSON output for consistent review results
- Adds dedicated UI dialog to display AI findings and risk level

src-tauri/crates/commit_ai/src/cloud.rs

@@ -2,7 +2,7 @@ use std::time::Duration;
 
 use serde::{Deserialize, Serialize};
 
-use crate::{build_messages, looks_like_diff_echo, sanitize_message};
+use crate::{build_messages, build_review_messages, looks_like_diff_echo, sanitize_message};
 
 // Generous sizing so a detailed body with bullet points isn't cut off.
 const DEFAULT_MAX_TOKENS: u32 = 1500;
@@ -139,6 +139,82 @@ pub async fn generate_custom(
     openai_compatible_request(url, api_key, model, diff, notes).await
 }
 
+async fn openai_compatible_review_request(
+    url: String,
+    bearer: Option<&str>,
+    model: &str,
+    diff: &str,
+) -> Result<String, String> {
+    let (system, user) = build_review_messages(diff)?;
+    let body = OpenAiRequest {
+        model: model.to_string(),
+        messages: vec![
+            OpenAiMessage {
+                role: "system",
+                content: system,
+            },
+            OpenAiMessage {
+                role: "user",
+                content: user,
+            },
+        ],
+        temperature: 0.1,
+    };
+    let client = http_client()?;
+    let mut request = client.post(url).json(&body);
+    if let Some(key) = bearer.filter(|key| !key.trim().is_empty()) {
+        request = request.bearer_auth(key);
+    }
+    let response = request
+        .send()
+        .await
+        .map_err(|err| format!("Request to the AI model failed: {err}"))?;
+    let status = response.status();
+    let text = response
+        .text()
+        .await
+        .map_err(|err| format!("Could not read response: {err}"))?;
+    if !status.is_success() {
+        return Err(format!("API error ({status}): {text}"));
+    }
+    let parsed: OpenAiResponse =
+        serde_json::from_str(&text).map_err(|err| format!("Could not process response: {err}"))?;
+    parsed
+        .choices
+        .into_iter()
+        .next()
+        .and_then(|choice| choice.message.content)
+        .map(|content| sanitize_message(&content))
+        .filter(|content| !content.is_empty())
+        .ok_or_else(|| "The model did not return a review.".to_string())
+}
+
+pub async fn review_openai(api_key: &str, model: &str, diff: &str) -> Result<String, String> {
+    if api_key.trim().is_empty() {
+        return Err("OpenAI API key is missing.".to_string());
+    }
+    openai_compatible_review_request(
+        "https://api.openai.com/v1/chat/completions".to_string(),
+        Some(api_key),
+        model,
+        diff,
+    )
+    .await
+}
+
+pub async fn review_custom(
+    base_url: &str,
+    api_key: Option<&str>,
+    model: &str,
+    diff: &str,
+) -> Result<String, String> {
+    if base_url.trim().is_empty() {
+        return Err("Endpoint URL is missing.".to_string());
+    }
+    let url = format!("{}/chat/completions", base_url.trim_end_matches('/'));
+    openai_compatible_review_request(url, api_key, model, diff).await
+}
+
 #[derive(Serialize)]
 struct AnthropicMessage {
     role: &'static str,
@@ -220,3 +296,45 @@ pub async fn generate_anthropic(
     }
     Ok(message)
 }
+
+pub async fn review_anthropic(api_key: &str, model: &str, diff: &str) -> Result<String, String> {
+    if api_key.trim().is_empty() {
+        return Err("Anthropic API key is missing.".to_string());
+    }
+    let (system, user) = build_review_messages(diff)?;
+    let body = AnthropicRequest {
+        model: model.to_string(),
+        max_tokens: 2400,
+        system,
+        messages: vec![AnthropicMessage {
+            role: "user",
+            content: user,
+        }],
+    };
+    let client = http_client()?;
+    let response = client
+        .post("https://api.anthropic.com/v1/messages")
+        .header("x-api-key", api_key)
+        .header("anthropic-version", "2023-06-01")
+        .json(&body)
+        .send()
+        .await
+        .map_err(|err| format!("Request to Anthropic failed: {err}"))?;
+    let status = response.status();
+    let text = response
+        .text()
+        .await
+        .map_err(|err| format!("Could not read response: {err}"))?;
+    if !status.is_success() {
+        return Err(format!("API error ({status}): {text}"));
+    }
+    let parsed: AnthropicResponse =
+        serde_json::from_str(&text).map_err(|err| format!("Could not process response: {err}"))?;
+    parsed
+        .content
+        .into_iter()
+        .find_map(|block| block.text)
+        .map(|text| sanitize_message(&text))
+        .filter(|text| !text.is_empty())
+        .ok_or_else(|| "The model did not return a review.".to_string())
+}