diff --git a/internal/jean/backend_buildfilter_test.go b/internal/jean/backend_buildfilter_test.go
index 90df685..f1d93b1 100644
--- a/internal/jean/backend_buildfilter_test.go
+++ b/internal/jean/backend_buildfilter_test.go
@@ -8,12 +8,12 @@ func TestCompiledFile(t *testing.T) {
 		`    ggml-threading.cpp`: "ggml-threading.cpp",
 		`    ggml-quants.c`:      "ggml-quants.c",
 		// Make (Linux) et Ninja.
-		`[ 45%] Building CXX object src/CMakeFiles/llama.dir/llama.cpp.o`:               "llama.cpp",
+		`[ 45%] Building CXX object src/CMakeFiles/llama.dir/llama.cpp.o`:                     "llama.cpp",
 		`[123/456] Building CUDA object ggml/src/ggml-cuda/CMakeFiles/ggml-cuda.dir/acc.cu.o`: "acc.cu",
 		// La ligne de commande nvcc géante ne doit PAS être prise pour un fichier.
 		`  C:\...\nvcc.exe -x cu ... -o ggml-cuda.dir\Release\acc.obj "C:\...\acc.cu"`: "",
-		`Building Custom Rule C:/ProgramData/jean/...`:                                "",
-		`-- UI: running npm install`:                                                  "",
+		`Building Custom Rule C:/ProgramData/jean/...`:                                 "",
+		`-- UI: running npm install`:                                                   "",
 	}
 	for in, want := range cases {
 		if got := compiledFile(in); got != want {
diff --git a/internal/jean/llm_bench.go b/internal/jean/llm_bench.go
index 2c2b8c0..dfe647e 100644
--- a/internal/jean/llm_bench.go
+++ b/internal/jean/llm_bench.go
@@ -14,13 +14,13 @@ import (
 
 // benchResult captures the timings llama.cpp returns from /completion.
 type benchResult struct {
-	PromptN          int     `json:"prompt_n"`
-	PromptMs         float64 `json:"prompt_ms"`
-	PromptPerSecond  float64 `json:"prompt_per_second"`
-	PredictedN       int     `json:"predicted_n"`
-	PredictedMs      float64 `json:"predicted_ms"`
-	PredictedPerSec  float64 `json:"predicted_per_second"`
-	Elapsed          float64 `json:"elapsed_sec"`
+	PromptN         int     `json:"prompt_n"`
+	PromptMs        float64 `json:"prompt_ms"`
+	PromptPerSecond float64 `json:"prompt_per_second"`
+	PredictedN      int     `json:"predicted_n"`
+	PredictedMs     float64 `json:"predicted_ms"`
+	PredictedPerSec float64 `json:"predicted_per_second"`
+	Elapsed         float64 `json:"elapsed_sec"`
 }
 
 // benchCorpus is a varied passage used to defeat speculative decoding
@@ -71,12 +71,12 @@ func runBench(nPrompt, nPredict int) (*benchResult, error) {
 	// Use the same endpoint your real chat hits, so the comparison is honest
 	// (chat template, reasoning, OpenAI-compat layer all included).
 	payload := map[string]any{
-		"model":         "jean",
-		"messages":      []Message{{Role: "user", Content: prompt + "\n\nContinue this passage with another 1000+ words of original varied prose, mixing French and English narrative paragraphs on different topics."}},
-		"max_tokens":    nPredict,
-		"stream":        false,
-		"temperature":   0.7,
-		"cache_prompt":  false,
+		"model":        "jean",
+		"messages":     []Message{{Role: "user", Content: prompt + "\n\nContinue this passage with another 1000+ words of original varied prose, mixing French and English narrative paragraphs on different topics."}},
+		"max_tokens":   nPredict,
+		"stream":       false,
+		"temperature":  0.7,
+		"cache_prompt": false,
 	}
 	body, _ := json.Marshal(payload)
 	url := fmt.Sprintf("http://localhost:%d/v1/chat/completions", port)
@@ -92,12 +92,12 @@ func runBench(nPrompt, nPredict int) (*benchResult, error) {
 	defer resp.Body.Close()
 	var parsed struct {
 		Timings struct {
-			PromptN          int     `json:"prompt_n"`
-			PromptMs         float64 `json:"prompt_ms"`
-			PromptPerSecond  float64 `json:"prompt_per_second"`
-			PredictedN       int     `json:"predicted_n"`
-			PredictedMs      float64 `json:"predicted_ms"`
-			PredictedPerSec  float64 `json:"predicted_per_second"`
+			PromptN         int     `json:"prompt_n"`
+			PromptMs        float64 `json:"prompt_ms"`
+			PromptPerSecond float64 `json:"prompt_per_second"`
+			PredictedN      int     `json:"predicted_n"`
+			PredictedMs     float64 `json:"predicted_ms"`
+			PredictedPerSec float64 `json:"predicted_per_second"`
 		} `json:"timings"`
 		Usage struct {
 			PromptTokens     int `json:"prompt_tokens"`
diff --git a/internal/jean/relay_link.go b/internal/jean/relay_link.go
index 710312b..c5bf90a 100644
--- a/internal/jean/relay_link.go
+++ b/internal/jean/relay_link.go
@@ -466,4 +466,3 @@ func demuxTunnelStream(stream net.Conn, httpLn, oaiLn *chanListener) {
 	}
 	httpLn.push(pc)
 }
-
diff --git a/internal/jean/sys_proc_windows.go b/internal/jean/sys_proc_windows.go
index 0cd6943..6d99d5d 100644
--- a/internal/jean/sys_proc_windows.go
+++ b/internal/jean/sys_proc_windows.go
@@ -17,9 +17,9 @@ import (
 
 func relaunchDetachedApp() {
 	const (
-		detachedProcess   = 0x00000008
-		createNoWindow    = 0x08000000
-		createNewProcGrp  = 0x00000200
+		detachedProcess  = 0x00000008
+		createNoWindow   = 0x08000000
+		createNewProcGrp = 0x00000200
 	)
 	exe, err := os.Executable()
 	if err != nil {
diff --git a/internal/jean/sys_tray_windows.go b/internal/jean/sys_tray_windows.go
index 72f6850..15e47b6 100644
--- a/internal/jean/sys_tray_windows.go
+++ b/internal/jean/sys_tray_windows.go
@@ -105,17 +105,17 @@ func trayIcon() []byte {
 
 	// Conteneur ICO : ICONDIR (6) + 1 ICONDIRENTRY (16) + PNG.
 	var ico bytes.Buffer
-	binary.Write(&ico, binary.LittleEndian, uint16(0)) // réservé
-	binary.Write(&ico, binary.LittleEndian, uint16(1)) // type = icône
-	binary.Write(&ico, binary.LittleEndian, uint16(1)) // nombre d'images
-	ico.WriteByte(n)                                   // largeur
-	ico.WriteByte(n)                                   // hauteur
-	ico.WriteByte(0)                                   // couleurs
-	ico.WriteByte(0)                                   // réservé
-	binary.Write(&ico, binary.LittleEndian, uint16(1))         // plans
-	binary.Write(&ico, binary.LittleEndian, uint16(32))        // bits/pixel
-	binary.Write(&ico, binary.LittleEndian, uint32(len(p)))    // taille données
-	binary.Write(&ico, binary.LittleEndian, uint32(6+16))      // offset données
+	binary.Write(&ico, binary.LittleEndian, uint16(0))      // réservé
+	binary.Write(&ico, binary.LittleEndian, uint16(1))      // type = icône
+	binary.Write(&ico, binary.LittleEndian, uint16(1))      // nombre d'images
+	ico.WriteByte(n)                                        // largeur
+	ico.WriteByte(n)                                        // hauteur
+	ico.WriteByte(0)                                        // couleurs
+	ico.WriteByte(0)                                        // réservé
+	binary.Write(&ico, binary.LittleEndian, uint16(1))      // plans
+	binary.Write(&ico, binary.LittleEndian, uint16(32))     // bits/pixel
+	binary.Write(&ico, binary.LittleEndian, uint32(len(p))) // taille données
+	binary.Write(&ico, binary.LittleEndian, uint32(6+16))   // offset données
 	ico.Write(p)
 	return ico.Bytes()
 }
diff --git a/internal/jean/web_server.go b/internal/jean/web_server.go
index 0fd092d..09e3ef6 100644
--- a/internal/jean/web_server.go
+++ b/internal/jean/web_server.go
@@ -116,12 +116,12 @@ func newWebMux() *http.ServeMux {
 	api("/api/restart", svcHandler("restart"))
 	api("/api/bench", handleBench)
 	api("/api/bench/last", handleBenchLast)
-	api("/api/chat", handleChat)                 // flux d'ABONNEMENT (SSE) : rejoue + suit le fil
-	api("/api/chat/send", handleChatSend)        // envoie un message (lance la génération détachée)
-	api("/api/chat/stop", handleChatStop)        // interrompt la génération en cours
-	api("/api/chat/reset", handleChatReset)      // nouvelle conversation (pour tous les appareils)
-	api("/api/chat/state", handleChatState)      // instantané léger {seq, generating, ctx_used}
-	api("/api/e2e/chat", handleE2EChat)          // même flux mais chiffré E2E (boîte noire via le relais)
+	api("/api/chat", handleChat)            // flux d'ABONNEMENT (SSE) : rejoue + suit le fil
+	api("/api/chat/send", handleChatSend)   // envoie un message (lance la génération détachée)
+	api("/api/chat/stop", handleChatStop)   // interrompt la génération en cours
+	api("/api/chat/reset", handleChatReset) // nouvelle conversation (pour tous les appareils)
+	api("/api/chat/state", handleChatState) // instantané léger {seq, generating, ctx_used}
+	api("/api/e2e/chat", handleE2EChat)     // même flux mais chiffré E2E (boîte noire via le relais)
 	return mux
 }
 
@@ -537,6 +537,7 @@ func handleAgentToggle(w http.ResponseWriter, r *http.Request) {
 //
 //	GET  → {enabled, url, reachable}
 //	POST {enabled, url} → enregistre CRAWL4AI_URL + le drapeau .internet_enabled
+//
 // handleAPIKey expose et pilote la clé d'accès à l'endpoint compatible OpenAI
 // (llama-server /v1). GET renvoie l'état ; POST {action:"generate"|"set"|"clear",
 // key?} l'écrit puis redémarre le service (llama-server lit --api-key au lancement).