fix: add win32 native binary to optionalDependencies, fix embedder crashes

- Add @optave/codegraph-win32-x64-msvc to optionalDependencies (was missing,
  causing fallback to WASM on Windows)
- Pin all native binary packages to 2.4.0
- Add bounds check in extractLeadingComment to prevent crash on stale graph
  data where node line numbers exceed file length
- Route model loading messages through logger (stderr) instead of console.log
  (stdout) to fix pipe-clean JSON output for search --json

Closes #113
Closes #114
Closes #115

Impact: 2 functions changed, 9 affected

Author: github-actions[bot]

package.json

@@ -69,9 +69,10 @@
   },
   "optionalDependencies": {
     "@modelcontextprotocol/sdk": "^1.0.0",
-    "@optave/codegraph-darwin-arm64": "2.3.0",
-    "@optave/codegraph-darwin-x64": "2.3.0",
-    "@optave/codegraph-linux-x64-gnu": "2.3.0"
+    "@optave/codegraph-darwin-arm64": "2.4.0",
+    "@optave/codegraph-darwin-x64": "2.4.0",
+    "@optave/codegraph-linux-x64-gnu": "2.4.0",
+    "@optave/codegraph-win32-x64-msvc": "2.4.0"
   },
   "devDependencies": {
     "@biomejs/biome": "^2.4.4",

src/embedder.js

@@ -4,7 +4,7 @@ import path from 'node:path';
 import { createInterface } from 'node:readline';
 import Database from 'better-sqlite3';
 import { findDbPath, openReadonlyOrFail } from './db.js';
-import { warn } from './logger.js';
+import { info, warn } from './logger.js';
 
 /**
  * Split an identifier into readable words.
@@ -135,8 +135,10 @@ export function estimateTokens(text) {
  * Returns the cleaned comment text or null if none found.
  */
 function extractLeadingComment(lines, fnLineIndex) {
+  if (fnLineIndex > lines.length) return null;
   const raw = [];
   for (let i = fnLineIndex - 1; i >= Math.max(0, fnLineIndex - 15); i--) {
+    if (i >= lines.length) continue;
     const trimmed = lines[i].trim();
     if (/^(\/\/|\/\*|\*\/|\*|#|\/\/\/)/.test(trimmed)) {
       raw.unshift(trimmed);
@@ -298,7 +300,7 @@ async function loadModel(modelKey) {
   pipeline = transformers.pipeline;
   _cos_sim = transformers.cos_sim;
 
-  console.log(`Loading embedding model: ${config.name} (${config.dim}d)...`);
+  info(`Loading embedding model: ${config.name} (${config.dim}d)...`);
   const pipelineOpts = config.quantized ? { quantized: true } : {};
   try {
     extractor = await pipeline('feature-extraction', config.name, pipelineOpts);
@@ -321,7 +323,7 @@ async function loadModel(modelKey) {
     process.exit(1);
   }
   activeModel = config.name;
-  console.log('Model loaded.');
+  info('Model loaded.');
   return { extractor, config };
 }