feat(agent): add learn action flow and grounding guards

agent_chat/app.py

@@ -83,9 +83,24 @@ app.config['MAX_CONTENT_LENGTH'] = 50 * 1024 * 1024  # 50 MB max upload (sécuri
 _ALLOWED_ORIGINS = [
     "http://localhost:3002",
     "http://localhost:5002",
+    "http://localhost:5004",
     "https://vwb.labs.laurinebazin.design",
     "https://lea.labs.laurinebazin.design",
+    # LAN local : serveur Linux (192.168.1.40) + Léa Windows (192.168.1.11).
+    # Sans ces origines, engineio rejette la ChatWindow tkinter Windows et
+    # même les requêtes self-loopback (cf. journal 2026-05-24 11:00:47).
+    "http://192.168.1.40:5004",
+    "http://192.168.1.40:5005",
+    "http://192.168.1.11:5004",
+    "http://192.168.1.11:5005",
 ]
+# Override possible via LEA_CORS_ALLOWED_ORIGINS=comma,separated,list pour
+# environnements non-LAN. Vide ou absent → garde la liste par défaut ci-dessus.
+_extra_origins = os.environ.get("LEA_CORS_ALLOWED_ORIGINS", "").strip()
+if _extra_origins:
+    _ALLOWED_ORIGINS.extend(
+        o.strip() for o in _extra_origins.split(",") if o.strip()
+    )
 socketio = SocketIO(app, cors_allowed_origins=_ALLOWED_ORIGINS)
 
 
@@ -199,6 +214,9 @@ _pending_imports: Dict[str, Dict[str, Any]] = {}
 # Copilot state — suivi du mode pas-à-pas
 _copilot_sessions: Dict[str, Dict[str, Any]] = {}
 
+# LearnActionOrchestrator — P1-LEA SHADOW (apprentissage Léa-first)
+learn_action_orchestrator = None  # injecté par init_system()
+
 _COPILOT_KEYWORDS = [
     "copilot", "co-pilot",
     "pas à pas", "pas-à-pas", "pas a pas",
@@ -278,8 +296,24 @@ def init_system():
     if EXECUTION_AVAILABLE:
         try:
             # Pipeline de workflow (matching + actions)
-            workflow_pipeline = WorkflowPipeline()
-            logger.info("✓ WorkflowPipeline initialisé")
+            # Depuis C1c 2026-05-25 : désactiver UI detection (OWL/VLM côté
+            # UIDetector via DetectionConfig) par défaut pour économiser
+            # ~900 MiB VRAM au boot du chat service. Le chemin SocketIO 5004
+            # / narration ChatWindow / ExecutionLoop n'utilise pas
+            # workflow_pipeline.ui_detector (grep confirmé). Activation
+            # explicite : AGENT_CHAT_ENABLE_UI_DETECTION=1.
+            _ui_detection_enabled = os.environ.get(
+                "AGENT_CHAT_ENABLE_UI_DETECTION", "0"
+            ).strip() in ("1", "true", "yes")
+            workflow_pipeline = WorkflowPipeline(
+                enable_ui_detection=_ui_detection_enabled,
+                enable_vlm=_ui_detection_enabled,
+            )
+            logger.info(
+                f"✓ WorkflowPipeline initialisé "
+                f"(ui_detection={_ui_detection_enabled}, "
+                f"économie ~900 MiB VRAM si False)"
+            )
 
             # Capture d'écran
             screen_capturer = ScreenCapturer()
@@ -356,6 +390,26 @@ def init_system():
     else:
         logger.info("ℹ Import Excel non disponible (openpyxl manquant ?)")
 
+    # 8. LearnActionOrchestrator (P1-LEA SHADOW) — apprentissage Léa-first
+    global learn_action_orchestrator
+    try:
+        from .handlers.learn_action import get_learn_action_orchestrator
+
+        def _learn_emit(event: str, payload: Dict[str, Any]) -> None:
+            try:
+                socketio.emit(event, payload)
+            except Exception:
+                logger.debug("learn emit silenced", exc_info=True)
+
+        learn_action_orchestrator = get_learn_action_orchestrator(emit=_learn_emit)
+        resumed = learn_action_orchestrator.resume_sessions()
+        logger.info(
+            f"✓ LearnActionOrchestrator initialisé (sessions reprises: {len(resumed)})"
+        )
+    except Exception as e:
+        logger.warning(f"⚠ LearnActionOrchestrator: {e}")
+        learn_action_orchestrator = None
+
 
 # =============================================================================
 # Routes Web
@@ -768,6 +822,24 @@ def api_chat():
     if not message:
         return jsonify({"error": "Message vide"}), 400
 
+    # 0. Routage P1-LEA : si une session d'apprentissage est active pour ce
+    # session_id, l'orchestrateur traite le message ; sinon on tombe sur le
+    # flux normal (intent_parser / matcher / confirmation).
+    if learn_action_orchestrator is not None and session_id:
+        try:
+            learn_reply = learn_action_orchestrator.handle_chat_message(
+                session_id, message
+            )
+        except Exception:
+            logger.exception("learn_action_orchestrator error")
+            learn_reply = None
+        if learn_reply is not None:
+            return jsonify({
+                "session_id": session_id,
+                "response": learn_reply,
+                "handler": "learn_action",
+            })
+
     # 1. Obtenir ou créer la session
     session = conversation_manager.get_or_create_session(session_id=session_id)
 
@@ -1834,7 +1906,13 @@ def _poll_replay_progress(replay_id: str, workflow_name: str, total_actions: int
                     "completed": completed,
                     "total": total_actions,
                     "failed_action": data.get("failed_action"),
-                    "reason": data.get("error") or "Action incertaine",
+                    "reason": (
+                        data.get("pause_message")
+                        or data.get("message")
+                        or data.get("error")
+                        or "Action incertaine"
+                    ),
+                    "safety_checks": data.get("safety_checks") or [],
                 })
                 was_paused = True
                 elapsed = 0
@@ -2713,6 +2791,72 @@ def urgences_list():
     return jsonify({"orchestrations": list_orchestrations()})
 
 
+# =============================================================================
+# P1-LEA SHADOW — déclenchement d'apprentissage depuis l'extérieur
+# =============================================================================
+
+@app.route('/api/learn/start', methods=['POST'])
+def api_learn_start():
+    """Déclenche une session d'apprentissage Léa-first.
+
+    Endpoint utilisé par le bouton Windows (ChatWindow tkinter) ou tout autre
+    client externe pour démarrer le cycle Shadow → Persist côté agent-chat.
+
+    Payload JSON :
+        - machine_id (str, obligatoire) : identifiant de la machine où
+          l'apprentissage est en cours (sera repris pour le persist).
+        - session_name (str | None, optionnel) : nom d'affichage de la
+          session (ignoré pour l'instant — réservé futur).
+        - user_id (str | None, optionnel) : défaut "default".
+        - trigger_source (str, optionnel) : défaut "windows_button".
+          Utilisé pour distinguer du "magic_phrase" ou "proactive".
+
+    Retours :
+        - 200 : {"session_id": str, "state": str, "message": str}
+        - 400 : machine_id absent ou vide
+        - 503 : orchestrateur non initialisé (init_system pas appelé)
+        - 500 : exception interne (shadow_start, état illégal, etc.)
+
+    Auth/CORS : suit le pattern des autres routes API du module (pas d'auth
+    Flask explicite — l'API est en LAN derrière le reverse proxy /
+    SocketIO cors_allowed_origins).
+    """
+    if learn_action_orchestrator is None:
+        return jsonify({
+            "error": "LearnActionOrchestrator non initialisé",
+        }), 503
+
+    data = request.get_json(silent=True) or {}
+    machine_id = (data.get("machine_id") or "").strip()
+    if not machine_id:
+        return jsonify({
+            "error": "machine_id requis (str non vide)",
+        }), 400
+
+    user_id = (data.get("user_id") or "default").strip() or "default"
+    trigger_source = (data.get("trigger_source") or "windows_button").strip() or "windows_button"
+    # session_name reçu mais non utilisé pour l'instant (réservé futur)
+    _session_name = data.get("session_name")
+
+    try:
+        st, reply = learn_action_orchestrator.start_session(
+            user_id=user_id,
+            trigger_source=trigger_source,
+            machine_id=machine_id,
+        )
+    except Exception as exc:
+        logger.exception("api_learn_start failed")
+        return jsonify({
+            "error": f"démarrage apprentissage impossible: {exc}",
+        }), 500
+
+    return jsonify({
+        "session_id": st.session_id,
+        "state": st.state.value if hasattr(st.state, "value") else str(st.state),
+        "message": reply,
+    })
+
+
 # =============================================================================
 # Main
 # =============================================================================

agent_chat/autonomous_planner.py

@@ -137,11 +137,31 @@ class AutonomousPlanner:
         logger.info(f"AutonomousPlanner initialized (LLM: {self.llm_model}, available: {self.llm_available}, visual: {self._owl_detector is not None}, vlm: {self._vlm_client is not None})")
 
     def _init_visual_detection(self):
-        """Initialise le détecteur visuel OWL-v2."""
+        """Initialise le détecteur visuel OWL-v2.
+
+        Désactivé par défaut depuis 2026-05-25 (C1b) : OWL-v2 chargeait sur
+        CUDA au boot et retenait ~600 MiB VRAM même en cas d'OOM silencieux,
+        fausssant les benchs perf et contribuant à l'offload Ollama VLM.
+        Comme `autonomous_planner` est largement non-wired au runtime actif
+        (cf. mémoire projet : HTTP 410 dépréciés), le défaut est skip.
+
+        Activation : `AGENT_CHAT_ENABLE_OWL=1` (env var).
+        Device : `AGENT_CHAT_OWL_DEVICE=cuda|cpu` (override l'auto-détect).
+        """
+        if os.environ.get("AGENT_CHAT_ENABLE_OWL", "0").strip() not in ("1", "true", "yes"):
+            logger.info(
+                "OWL-v2 visual detector skipped at boot "
+                "(AGENT_CHAT_ENABLE_OWL!=1, économie ~600 MiB VRAM)"
+            )
+            return
         if VISUAL_DETECTION_AVAILABLE and OwlDetector:
             try:
-                self._owl_detector = OwlDetector(confidence_threshold=0.1)
-                logger.info("OWL-v2 visual detector initialized")
+                device = os.environ.get("AGENT_CHAT_OWL_DEVICE", "").strip() or None
+                self._owl_detector = OwlDetector(
+                    confidence_threshold=0.1,
+                    device=device,
+                )
+                logger.info(f"OWL-v2 visual detector initialized (device={device or 'auto'})")
             except Exception as e:
                 logger.warning(f"Could not initialize OWL detector: {e}")
                 self._owl_detector = None

agent_chat/handlers/__init__.py

@@ -0,0 +1,29 @@
+"""Agent-chat handlers package.
+
+Contient les orchestrateurs spécialisés (apprentissage Léa, etc.) appelés
+par `agent_chat.app` quand le routage normal d'intent ne suffit pas.
+"""
+
+from .learn_action import (
+    LearnActionOrchestrator,
+    LearnState,
+    LearnIntent,
+    LearnIntentParser,
+    OptionCFormatter,
+    StreamingClient,
+    StateStore,
+    PersistPayloadBuilder,
+    get_learn_action_orchestrator,
+)
+
+__all__ = [
+    "LearnActionOrchestrator",
+    "LearnState",
+    "LearnIntent",
+    "LearnIntentParser",
+    "OptionCFormatter",
+    "StreamingClient",
+    "StateStore",
+    "PersistPayloadBuilder",
+    "get_learn_action_orchestrator",
+]

agent_v0/agent_v1/config.py

@@ -56,6 +56,13 @@ OLLAMA_HOST = os.getenv("RPA_OLLAMA_HOST", "localhost")
 # Configurable via variable d'environnement RPA_API_TOKEN
 API_TOKEN = os.environ.get("RPA_API_TOKEN", "")
 
+# --- Orchestrateur Léa-first (agent-chat Linux) ---
+# Endpoint racine du service agent-chat qui héberge POST /api/learn/start
+# (P1-LEA-SHADOW). Configurable via RPA_AGENT_CHAT_URL.
+# Défaut : localhost:5004 (même machine en dev). En POC clinique, doit
+# pointer vers le DGX Spark (ex. http://agent-chat.dgx-local:5004).
+AGENT_CHAT_URL = os.environ.get("RPA_AGENT_CHAT_URL", "http://localhost:5004")
+
 # Paramètres de session
 MAX_SESSION_DURATION_S = 60 * 60  # 1 heure
 SESSIONS_ROOT = BASE_DIR / "sessions"

agent_v0/agent_v1/core/captor.py

@@ -56,6 +56,8 @@ class EventCaptorV1:
 
         # État des touches modificatrices
         self.modifiers = set()
+        self._pending_standalone_win = False
+        self._suppress_release_only_win_combo = False
 
         # Tracking du focus fenêtre
         self.last_window = None
@@ -327,6 +329,56 @@ class EventCaptorV1:
             return {"kind": "key", "name": key.name}
         return {"kind": "unknown", "str": str(key)}
 
+    @staticmethod
+    def _raw_key_name(raw_key: Dict[str, Any]) -> Optional[str]:
+        """Nom lisible depuis un raw_key sérialisé."""
+        if raw_key.get("kind") == "vk":
+            char = raw_key.get("char")
+            if char and len(str(char)) == 1:
+                return str(char).lower()
+        if raw_key.get("kind") == "key":
+            name = raw_key.get("name")
+            return str(name).lower() if name else None
+        return None
+
+    def _emit_release_only_windows_combo(self) -> bool:
+        """Infère Win+<touche> si Windows/NoMachine n'a livré que les releases.
+
+        Certaines sessions ne remontent pas les press de Win+S via pynput,
+        mais livrent ensuite release('s') puis release('cmd'). Sans cette
+        inférence ciblée, le geste système est perdu et les releases polluent
+        le prochain text_input.
+        """
+        with self._text_lock:
+            raw_keys = list(self._raw_key_buffer)
+            if len(raw_keys) < 2:
+                return False
+            cmd_names = {"cmd", "cmd_l", "cmd_r"}
+            last = raw_keys[-1]
+            if last.get("action") != "release" or self._raw_key_name(last) not in cmd_names:
+                return False
+            combo_key = None
+            for raw in reversed(raw_keys[:-1]):
+                if raw.get("action") != "release":
+                    continue
+                name = self._raw_key_name(raw)
+                if name and name not in self._MODIFIER_KEY_NAMES:
+                    combo_key = name
+                    break
+            if not combo_key:
+                return False
+            self._raw_key_buffer.clear()
+
+        event = {
+            "type": "key_combo",
+            "keys": ["win", combo_key],
+            "raw_keys": raw_keys,
+            "timestamp": time.time(),
+        }
+        self._inject_screen_metadata(event)
+        self.on_event(event)
+        return True
+
     def _on_press(self, key):
         # TOUJOURS enregistrer le press brut dans le buffer raw_keys
         with self._text_lock:
@@ -344,6 +396,7 @@ class EventCaptorV1:
             self.modifiers.add("shift")
         elif key in (Key.cmd, Key.cmd_l, Key.cmd_r):
             self.modifiers.add("win")
+            self._pending_standalone_win = True
 
         # --- Combos avec modificateur (sauf Shift seul) ---
         # Shift seul n'est pas un « vrai » modificateur pour les combos :
@@ -369,6 +422,9 @@ class EventCaptorV1:
             # Ne PAS émettre de combo si c'est un modificateur seul
             # (ex: appui sur Ctrl sans autre touche = pas de combo)
             if key_name and key_name not in self._MODIFIER_KEY_NAMES:
+                self._pending_standalone_win = False
+                if "win" in self.modifiers:
+                    self._suppress_release_only_win_combo = True
                 # Un combo interrompt la saisie texte en cours
                 self._flush_text_buffer()
                 # Attacher les raw_keys accumulés (press des modificateurs + press de la touche)
@@ -400,6 +456,7 @@ class EventCaptorV1:
         - Enter / Tab : flush immédiat + émission de l'événement
         - Escape : vide le buffer sans émettre
         """
+        escape_raw_keys = None
         with self._text_lock:
             # --- Touches spéciales ---
             if key == Key.backspace:
@@ -411,12 +468,14 @@ class EventCaptorV1:
             if key == Key.esc:
                 # Annuler la saisie en cours
                 self._text_buffer.clear()
-                self._raw_key_buffer.clear()
                 self._text_start_pos = None
                 self._cancel_flush_timer()
-                return
+                escape_raw_keys = list(self._raw_key_buffer)
+                self._raw_key_buffer.clear()
+                # Émettre hors lock après le bloc critique.
+                pass
 
-            if key in (Key.enter, Key.tab):
+            elif key in (Key.enter, Key.tab):
                 # Flush immédiat — on relâche le lock avant d'appeler
                 # _flush_text_buffer (qui prend aussi le lock)
                 pass  # on sort du with et on flush après
@@ -454,6 +513,18 @@ class EventCaptorV1:
                 # Touche spéciale non gérée (F1, Insert, etc.) — on ignore
                 return
 
+        if escape_raw_keys is not None:
+            event = {
+                "type": "key_combo",
+                "keys": ["escape"],
+                "timestamp": time.time(),
+            }
+            if escape_raw_keys:
+                event["raw_keys"] = escape_raw_keys
+            self._inject_screen_metadata(event)
+            self.on_event(event)
+            return
+
         # Si on arrive ici, c'est Enter ou Tab → flush le buffer en cours
         # puis émettre le caractère spécial comme text_input séparé
         self._flush_text_buffer()
@@ -551,6 +622,35 @@ class EventCaptorV1:
                 **self._encode_key(key),
             })
 
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._suppress_release_only_win_combo:
+            with self._text_lock:
+                self._raw_key_buffer.clear()
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+            self.modifiers.discard("win")
+            return
+
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._emit_release_only_windows_combo():
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+            self.modifiers.discard("win")
+            return
+
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._pending_standalone_win:
+            with self._text_lock:
+                raw_keys = list(self._raw_key_buffer)
+                self._raw_key_buffer.clear()
+            event = {
+                "type": "key_combo",
+                "keys": ["win"],
+                "raw_keys": raw_keys,
+                "timestamp": time.time(),
+            }
+            self._inject_screen_metadata(event)
+            self.on_event(event)
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+
         if key in (Key.ctrl, Key.ctrl_l, Key.ctrl_r):
             self.modifiers.discard("ctrl")
         elif key in (Key.alt, Key.alt_l, Key.alt_r):
@@ -559,6 +659,8 @@ class EventCaptorV1:
             self.modifiers.discard("shift")
         elif key in (Key.cmd, Key.cmd_l, Key.cmd_r):
             self.modifiers.discard("win")
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
 
     # ----------------------------------------------------------------
     # Métadonnées système

agent_v0/agent_v1/core/grounding.py

@@ -84,6 +84,15 @@ class GroundingEngine:
         if by_role in {"start_button"}:
             return False
 
+        has_anchor = bool(target_spec.get("anchor_image_base64"))
+        context_hints = target_spec.get("context_hints") or {}
+        has_window_or_text_hint = any(
+            str(target_spec.get(key, "") or "").strip()
+            for key in ("window_title", "by_text", "vlm_description")
+        ) or bool(str(context_hints.get("window_title", "") or "").strip())
+        if has_anchor and not has_window_or_text_hint and not by_role:
+            return False
+
         return True
 
     @staticmethod
@@ -174,6 +183,26 @@ class GroundingEngine:
                     hints.append(variant)
         return hints
 
+    @staticmethod
+    def _server_rejects_text_fallback(raw: Optional[Dict[str, Any]]) -> bool:
+        """Dire si un rejet serveur doit bloquer le fallback texte local.
+
+        Un rejet explicite n'est pas un simple "non trouvé": le serveur a vu
+        un candidat et l'a refusé pour une raison de qualité/zone. Refaire une
+        recherche OCR large côté client contournerait ce garde-fou.
+        """
+        if not raw or raw.get("resolved"):
+            return False
+
+        reason = str(raw.get("reason") or "")
+        method = str(raw.get("method") or "")
+        return (
+            method.startswith("rejected_")
+            or reason.startswith("close_tab_")
+            or reason.startswith("drift_")
+            or "below_threshold" in reason
+        )
+
     def _window_crop_matches_target_visually(
         self,
         screenshot_b64: str,
@@ -331,11 +360,31 @@ class GroundingEngine:
         cap_w = window_rect["width"] if window_rect else screen_width
         cap_h = window_rect["height"] if window_rect else screen_height
 
+        skip_text_fallback_after_server_reject = False
         for strategy in strategies:
+            if (
+                strategy == "vlm_local"
+                and skip_text_fallback_after_server_reject
+                and target_spec.get("by_text")
+            ):
+                by_text = target_spec.get("by_text", "")
+                logger.info(
+                    "[GROUNDING] Rejet serveur explicite pour '%s' — "
+                    "skip fallback local hybrid_text_direct",
+                    by_text,
+                )
+                print(
+                    f"    [GROUNDING] Rejet serveur explicite pour '{by_text}' "
+                    "→ pas de fallback texte local"
+                )
+                continue
+
             result = self._try_strategy(
                 strategy, server_url, screenshot_b64, target_spec,
                 fallback_x, fallback_y, cap_w, cap_h,
             )
+            if strategy == "server" and self._server_rejects_text_fallback(result.raw):
+                skip_text_fallback_after_server_reject = True
             if result.found:
                 # ── Conversion coords fenêtre → coords écran ──
                 if window_rect:
@@ -429,6 +478,14 @@ class GroundingEngine:
                     detail=raw.get("matched_element", {}).get("label", ""),
                     raw=raw,
                 )
+            if raw:
+                return GroundingResult(
+                    found=False,
+                    method=raw.get("method", "server"),
+                    score=raw.get("score", 0.0),
+                    detail=raw.get("reason", "server: pas trouvé"),
+                    raw=raw,
+                )
 
         elif strategy == "template":
             anchor_b64 = target_spec.get("anchor_image_base64", "")

agent_v0/agent_v1/main.py

@@ -121,10 +121,7 @@ class AgentV1:
         # Wiring ChatWindow → Executor pour Plan B (pause_message → bulle interactive)
         # Permet à l'executor d'afficher une bulle paused dans la fenêtre Léa V1
         # quand le serveur signale replay_paused=True via /replay/next.
-        try:
-            self._executor._chat_window_ref = self._chat_window
-        except Exception:
-            logger.debug("Wiring chat_window→executor échoué (non bloquant)", exc_info=True)
+        self._wire_chat_window_to_executor()
 
         # Boucles permanentes (pas besoin de session active)
         self.running = True
@@ -154,6 +151,15 @@ class AgentV1:
             shared_state=self._state,
         )
 
+    def _wire_chat_window_to_executor(self) -> None:
+        """Relie l'executor courant à la ChatWindow pour les pauses supervisees."""
+        if self._executor is None or self._chat_window is None:
+            return
+        try:
+            self._executor._chat_window_ref = self._chat_window
+        except Exception:
+            logger.debug("Wiring chat_window->executor echoue (non bloquant)", exc_info=True)
+
     def _delayed_cleanup(self):
         """Nettoyage en arrière-plan après 30s pour ne pas bloquer le démarrage."""
         time.sleep(30)
@@ -224,6 +230,7 @@ class AgentV1:
 
         # Initialiser l'executeur partage
         self._executor = ActionExecutorV1()
+        self._wire_chat_window_to_executor()
 
         self.shot_counter = 0
         self.running = True

agent_v0/agent_v1/network/lea_orchestrator_client.py

@@ -0,0 +1,147 @@
+"""
+Client HTTP minimal pour l'orchestrateur Léa-first (agent-chat Linux).
+
+Rebranchement P1-LEA-SHADOW : le bouton "Apprenez-moi" côté Windows déclenche
+la création d'une session d'apprentissage côté agent-chat (REST) AVANT de
+lancer la capture locale. Le pipeline streaming (capture frames/événements
+via start_recording) n'est PAS modifié — seule la prise de contact initiale
+avec Léa change.
+
+Contrat :
+    POST {AGENT_CHAT_URL}/api/learn/start
+    Headers : Authorization: Bearer <RPA_API_TOKEN>, Content-Type: application/json
+    Body    : { machine_id, session_name, user_id?, trigger_source }
+    Réponse : { session_id, state, message }
+
+Politique :
+    - Timeout 10s (connect + read)
+    - Retry x2 avec backoff 0.5s puis 1.0s
+    - En cas d'échec définitif : lève LeaOrchestratorError (le caller doit
+      basculer en mode dégradé : start_recording local sans assistance).
+"""
+
+from __future__ import annotations
+
+import logging
+import time
+from dataclasses import dataclass
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+
+# Timeout HTTP (connect + read) — 10s comme spec
+_HTTP_TIMEOUT_S = 10.0
+# Nombre de tentatives totales (1 + 2 retry)
+_MAX_ATTEMPTS = 3
+# Backoff progressif entre les tentatives
+_BACKOFF_S = (0.5, 1.0)
+
+
+@dataclass(frozen=True)
+class LearnStartResponse:
+    """Réponse normalisée de POST /api/learn/start."""
+
+    session_id: str
+    state: str
+    message: str
+
+
+class LeaOrchestratorError(RuntimeError):
+    """Erreur définitive de communication avec l'orchestrateur Léa."""
+
+
+def start_learning_session(
+    base_url: str,
+    *,
+    machine_id: str,
+    session_name: str,
+    api_token: str = "",
+    user_id: Optional[str] = None,
+    trigger_source: str = "windows_button",
+    timeout_s: float = _HTTP_TIMEOUT_S,
+    max_attempts: int = _MAX_ATTEMPTS,
+    backoff_s: tuple = _BACKOFF_S,
+) -> LearnStartResponse:
+    """Démarre une session d'apprentissage via l'orchestrateur agent-chat.
+
+    Args:
+        base_url: URL racine de l'agent-chat (ex. http://localhost:5004).
+        machine_id: Identifiant unique du poste Windows.
+        session_name: Nom humain de la tâche (saisi par l'utilisateur).
+        api_token: Bearer token (RPA_API_TOKEN). Vide => header omis.
+        user_id: Identifiant utilisateur optionnel.
+        trigger_source: Source du déclenchement (windows_button, tray, ...).
+        timeout_s: Timeout total connect+read par tentative.
+        max_attempts: Nombre total de tentatives (1 + retry).
+        backoff_s: Tuple des délais en secondes entre tentatives (len = max_attempts-1).
+
+    Returns:
+        LearnStartResponse normalisée.
+
+    Raises:
+        LeaOrchestratorError: si toutes les tentatives échouent.
+    """
+    # Import local : httpx peut ne pas être installé sur tous les postes
+    # Windows historiques. On veut un message d'erreur clair plutôt qu'un
+    # ImportError en chaîne au moment du clic bouton.
+    try:
+        import httpx
+    except ImportError as exc:  # pragma: no cover (dépend du venv)
+        raise LeaOrchestratorError(
+            "httpx non disponible — installer httpx>=0.27 sur le poste Windows."
+        ) from exc
+
+    url = base_url.rstrip("/") + "/api/learn/start"
+    payload = {
+        "machine_id": machine_id,
+        "session_name": session_name,
+        "trigger_source": trigger_source,
+    }
+    if user_id:
+        payload["user_id"] = user_id
+
+    headers = {"Content-Type": "application/json"}
+    if api_token:
+        headers["Authorization"] = f"Bearer {api_token}"
+
+    last_exc: Optional[Exception] = None
+    for attempt in range(max_attempts):
+        try:
+            logger.info(
+                "POST %s (tentative %d/%d) machine_id=%s session=%s",
+                url, attempt + 1, max_attempts, machine_id, session_name,
+            )
+            with httpx.Client(timeout=timeout_s) as client:
+                resp = client.post(url, json=payload, headers=headers)
+            resp.raise_for_status()
+            data = resp.json()
+            session_id = data.get("session_id", "")
+            state = data.get("state", "")
+            message = data.get("message", "")
+            if not session_id:
+                raise LeaOrchestratorError(
+                    f"Réponse invalide (pas de session_id) : {data!r}"
+                )
+            logger.info(
+                "Session Léa démarrée : session_id=%s state=%s",
+                session_id, state,
+            )
+            return LearnStartResponse(
+                session_id=str(session_id),
+                state=str(state),
+                message=str(message),
+            )
+        except Exception as exc:  # noqa: BLE001 — on retry sur toute erreur réseau/HTTP
+            last_exc = exc
+            logger.warning(
+                "Echec tentative %d/%d POST %s : %s",
+                attempt + 1, max_attempts, url, exc,
+            )
+            if attempt < max_attempts - 1:
+                delay = backoff_s[attempt] if attempt < len(backoff_s) else backoff_s[-1]
+                time.sleep(delay)
+
+    raise LeaOrchestratorError(
+        f"Echec définitif POST {url} après {max_attempts} tentatives : {last_exc}"
+    )

agent_v0/agent_v1/network/streamer.py

@@ -63,8 +63,14 @@ JPEG_QUALITY = 85
 # Taille max de la queue (backpressure)
 QUEUE_MAX_SIZE = 100
 
-# Types d'événements à ne jamais dropper
-PRIORITY_EVENT_TYPES = {"click", "key", "scroll", "action", "screenshot"}
+# Types d'événements à ne jamais dropper.
+# Les noms historiques sont conservés, mais les événements réels du captor
+# Agent V1 sont mouse_click/key_combo/text_input/mouse_scroll.
+PRIORITY_EVENT_TYPES = {
+    "click", "key", "scroll", "action", "screenshot",
+    "mouse_click", "double_click", "key_combo", "key_press",
+    "text_input", "mouse_scroll",
+}
 
 # Purge locale après ACK serveur (Partie A de l'audit)
 # Activé par défaut : le serveur conserve déjà les screenshots 180 jours

agent_v0/agent_v1/ui/chat_window.py

@@ -9,6 +9,7 @@ Tourne dans son propre thread daemon pour ne pas bloquer pystray.
 
 import logging
 import os
+import math
 import threading
 import time
 from datetime import datetime
@@ -121,7 +122,7 @@ def _tpl_done(payload: Dict[str, Any]) -> tuple:
 def _tpl_need_confirm(payload: Dict[str, Any]) -> tuple:
     action = payload.get("action") or {}
     desc = action.get("description") if isinstance(action, dict) else None
-    title = desc or "Validation requise"
+    title = desc or "J'attends ton accord avant de continuer"
     return ("?", ACTION_ICON_RUN, str(title))
 
 
@@ -867,11 +868,19 @@ class ChatWindow:
                     pass
             except Exception:
                 logger.debug("force-show chat_window silenced", exc_info=True)
-            # UX fix mai 2026 : repartir d'un chat vide pour focaliser
-            # l'attention sur la question (clear visuel uniquement,
-            # self._messages reste intact pour la traçabilité debug).
-            self._clear_chat_history()
-            self._render_paused_bubble(payload)
+            try:
+                # UX fix mai 2026 : repartir d'un chat vide pour focaliser
+                # l'attention sur la question (clear visuel uniquement,
+                # self._messages reste intact pour la traçabilité debug).
+                self._clear_chat_history()
+                self._render_paused_bubble(payload)
+            except Exception:
+                logger.exception("render paused bubble failed; using fallback")
+                try:
+                    self._clear_chat_history()
+                    self._render_paused_fallback_bubble(payload)
+                except Exception:
+                    logger.debug("render paused fallback silenced", exc_info=True)
 
         self._root.after(0, _show_and_render)
 
@@ -895,7 +904,11 @@ class ChatWindow:
             logger.debug("clear chat history silenced", exc_info=True)
 
     @staticmethod
-    def _compute_paused_bubble_height(reason_str: str) -> tuple:
+    def _compute_paused_bubble_height(
+        reason_str: str,
+        chars_per_line: int = 52,
+        max_rows: int = 14,
+    ) -> tuple:
         """Calcule la hauteur du Text (en lignes) + si une scrollbar est
         nécessaire pour le message d'une bulle paused.
 
@@ -910,11 +923,11 @@ class ChatWindow:
         if not reason_str:
             return 2, False
         text = str(reason_str)
-        # Estimation : ~60 chars/ligne effectifs avec wraplength.
-        wrapped_lines = (len(text) // 60) + 1
-        explicit_lines = text.count("\n") + 1
-        estimated = max(wrapped_lines, explicit_lines)
-        cap = 12
+        chars_per_line = max(24, int(chars_per_line or 52))
+        estimated = 0
+        for raw_line in text.splitlines() or [""]:
+            estimated += max(1, math.ceil(len(raw_line) / chars_per_line))
+        cap = max(2, int(max_rows or 14))
         height = max(2, min(cap, estimated))
         # Scrollbar dès que le cap est atteint OU contenu long (filet
         # textuel : ≥ 200 chars implique souvent un débordement visuel
@@ -922,6 +935,46 @@ class ChatWindow:
         needs_scroll = (estimated >= cap) or (len(text) > 200)
         return height, needs_scroll
 
+    def _paused_text_layout(self) -> tuple:
+        """Retourne ``(wrap_px, chars_per_line, max_rows)`` pour la bulle pause.
+
+        La fenêtre Léa est souvent redimensionnée à ~380px de large sur le
+        poste Windows. Les anciennes estimations fixes calculaient trop peu
+        de lignes et tronquaient le message. On part donc des dimensions
+        réelles du canvas et de la métrique de la police Tk.
+        """
+        canvas_w = 0
+        canvas_h = 0
+        try:
+            canvas_w = int(self._canvas.winfo_width()) if self._canvas is not None else 0
+            canvas_h = int(self._canvas.winfo_height()) if self._canvas is not None else 0
+        except Exception:
+            canvas_w = canvas_h = 0
+
+        # Marges: container + padding inner + petite marge droite. La bulle
+        # de pause est une alerte critique, elle utilise donc presque toute
+        # la largeur disponible sur les fenêtres étroites.
+        wrap_px = max(220, canvas_w - (2 * MARGIN) - 52) if canvas_w else 360
+
+        avg_char = 8
+        line_px = 22
+        try:
+            from tkinter import font as tkfont
+            font = tkfont.Font(font=FONT_MSG)
+            avg_char = max(6, font.measure("n"))
+            line_px = max(18, font.metrics("linespace"))
+        except Exception:
+            pass
+
+        chars_per_line = max(24, int(wrap_px / avg_char))
+        # Réserver titre, metadata, boutons, feedback et padding. Même sur
+        # une petite fenêtre, on garde assez de lignes pour ne pas couper un
+        # message d'erreur standard.
+        max_rows = 14
+        if canvas_h:
+            max_rows = max(5, min(18, int((canvas_h - 145) / line_px)))
+        return wrap_px, chars_per_line, max_rows
+
     def _render_paused_bubble(self, payload: Dict[str, Any]) -> None:
         tk = self._tk
         if getattr(self, "_msg_frame", None) is None:
@@ -941,7 +994,7 @@ class ChatWindow:
             container, bg=PAUSED_BG, padx=14, pady=12,
             highlightbackground=PAUSED_BORDER, highlightthickness=2,
         )
-        inner.pack(anchor=tk.W, padx=(0, 50), fill=tk.X)
+        inner.pack(anchor=tk.W, padx=(0, 12), fill=tk.X)
 
         tk.Label(
             inner, text=f"⏸  Pause supervisée • {now}",
@@ -949,31 +1002,44 @@ class ChatWindow:
             font=("Segoe UI", 12, "bold"), anchor="w",
         ).pack(fill=tk.X, anchor=tk.W)
 
-        # Message scrollable pour les longs reasons (ex: 200+ chars depuis le serveur).
-        # On utilise un Text en mode read-only avec hauteur calculée selon la longueur.
-        # Patch 22 mai 2026 : prendre en compte les \n explicites (titres
-        # fenêtre / patterns) et activer la scrollbar dès que le cap de
-        # hauteur est atteint — sinon les bulles de pause étaient
-        # tronquées visuellement sans aucun ascenseur visible.
+        # Message borné et scrollable : sur une fenêtre Léa étroite, une
+        # bulle trop haute fait disparaître le début du diagnostic hors du
+        # viewport. On garde donc la bulle compacte et on scrolle le texte.
         reason_str = str(reason)
-        height_lines, needs_scroll = self._compute_paused_bubble_height(reason_str)
-        msg_frame = tk.Frame(inner, bg=PAUSED_BG)
-        msg_frame.pack(fill=tk.X, anchor=tk.W, pady=(6, 0))
-        reason_text = tk.Text(
-            msg_frame, bg=PAUSED_BG, fg=PAUSED_FG,
-            font=FONT_MSG, wrap=tk.WORD, bd=0, height=height_lines,
-            highlightthickness=0, relief=tk.FLAT, cursor="arrow",
+        _wrap_px, chars_per_line, max_rows = self._paused_text_layout()
+        text_rows, needs_text_scroll = self._compute_paused_bubble_height(
+            reason_str,
+            chars_per_line=chars_per_line,
+            max_rows=max_rows,
         )
-        reason_text.insert("1.0", reason_str)
-        reason_text.configure(state="disabled")
-        reason_text.pack(side=tk.LEFT, fill=tk.X, expand=True)
-        if needs_scroll:
-            reason_scroll = tk.Scrollbar(
-                msg_frame, orient=tk.VERTICAL,
-                command=reason_text.yview, width=8,
+        text_frame = tk.Frame(inner, bg=PAUSED_BG)
+        text_frame.pack(fill=tk.X, anchor=tk.W, pady=(6, 0))
+        reason_msg = tk.Text(
+            text_frame,
+            height=text_rows,
+            wrap=tk.WORD,
+            bg=PAUSED_BG,
+            fg=PAUSED_FG,
+            font=FONT_MSG,
+            bd=0,
+            highlightthickness=0,
+            relief=tk.FLAT,
+            padx=0,
+            pady=0,
+            cursor="arrow",
+        )
+        reason_msg.insert("1.0", reason_str)
+        reason_msg.configure(state="disabled")
+        reason_msg.pack(side=tk.LEFT, fill=tk.X, expand=True)
+        if needs_text_scroll:
+            scrollbar = tk.Scrollbar(
+                text_frame,
+                orient=tk.VERTICAL,
+                command=reason_msg.yview,
+                width=12,
             )
-            reason_text.configure(yscrollcommand=reason_scroll.set)
-            reason_scroll.pack(side=tk.RIGHT, fill=tk.Y)
+            reason_msg.configure(yscrollcommand=scrollbar.set)
+            scrollbar.pack(side=tk.RIGHT, fill=tk.Y, padx=(6, 0))
 
         tk.Label(
             inner, text=f"{workflow} — étape {completed}/{total}",
@@ -1018,6 +1084,89 @@ class ChatWindow:
         # Scroll automatique vers la nouvelle bulle (visible immédiatement)
         self._scroll_to_bottom()
 
+    def _render_paused_fallback_bubble(self, payload: Dict[str, Any]) -> None:
+        """Rendu minimal de secours si la bulle riche echoue."""
+        tk = self._tk
+        if getattr(self, "_msg_frame", None) is None:
+            return
+
+        replay_id = str(payload.get("replay_id", "") or "")
+        workflow = payload.get("workflow", "?")
+        reason = str(
+            payload.get("reason")
+            or "Action incertaine - j'ai besoin de votre validation."
+        )
+        completed = payload.get("completed", 0)
+        total = payload.get("total", "?")
+        now = datetime.now().strftime("%H:%M")
+
+        container = tk.Frame(self._msg_frame, bg=BG_COLOR)
+        container.pack(fill=tk.X, padx=MARGIN, pady=6)
+
+        inner = tk.Frame(
+            container, bg=PAUSED_BG, padx=14, pady=12,
+            highlightbackground=PAUSED_BORDER, highlightthickness=2,
+        )
+        inner.pack(anchor=tk.W, padx=(0, 12), fill=tk.X)
+
+        tk.Label(
+            inner, text=f"Pause supervisee - {now}",
+            bg=PAUSED_BG, fg=PAUSED_FG,
+            font=("Segoe UI", 12, "bold"), anchor="w",
+        ).pack(fill=tk.X, anchor=tk.W)
+
+        wrap_px = 360
+        try:
+            if self._canvas is not None:
+                wrap_px = max(220, int(self._canvas.winfo_width()) - 80)
+        except Exception:
+            pass
+        tk.Label(
+            inner, text=reason, bg=PAUSED_BG, fg=PAUSED_FG,
+            font=FONT_MSG, wraplength=wrap_px, justify=tk.LEFT,
+            anchor=tk.W,
+        ).pack(fill=tk.X, anchor=tk.W, pady=(6, 0))
+
+        tk.Label(
+            inner, text=f"{workflow} - etape {completed}/{total}",
+            bg=PAUSED_BG, fg=TIMESTAMP_FG, font=FONT_TIMESTAMP, anchor="w",
+        ).pack(fill=tk.X, anchor=tk.W, pady=(4, 8))
+
+        btn_frame = tk.Frame(inner, bg=PAUSED_BG)
+        btn_frame.pack(fill=tk.X, anchor=tk.W)
+
+        btn_resume = tk.Button(
+            btn_frame, text="Continuer",
+            bg=PAUSED_BTN_RESUME_BG, fg="white", font=FONT_QUICK_BTN,
+            padx=14, pady=4, bd=0, cursor="hand2",
+            activebackground=PAUSED_BTN_RESUME_HOVER, activeforeground="white",
+            command=lambda: self._on_paused_resume(replay_id),
+        )
+        btn_resume.pack(side=tk.LEFT, padx=(0, 8))
+
+        btn_abort = tk.Button(
+            btn_frame, text="Annuler",
+            bg=PAUSED_BTN_ABORT_BG, fg="white", font=FONT_QUICK_BTN,
+            padx=14, pady=4, bd=0, cursor="hand2",
+            activebackground=PAUSED_BTN_ABORT_HOVER, activeforeground="white",
+            command=lambda: self._on_paused_abort(replay_id),
+        )
+        btn_abort.pack(side=tk.LEFT)
+
+        feedback_label = tk.Label(
+            inner, text="", bg=PAUSED_BG, fg=PAUSED_FG,
+            font=FONT_TIMESTAMP, anchor="w",
+        )
+        feedback_label.pack(fill=tk.X, anchor=tk.W, pady=(6, 0))
+
+        self._active_paused_bubble = {
+            "container": container, "inner": inner,
+            "btn_resume": btn_resume, "btn_abort": btn_abort,
+            "feedback_label": feedback_label,
+            "replay_id": replay_id,
+        }
+        self._scroll_to_bottom()
+
     def _close_active_paused_bubble(self, reason: str) -> None:
         if self._active_paused_bubble is None or self._root is None:
             return
@@ -1524,8 +1673,19 @@ class ChatWindow:
             self._add_lea_message(
                 f"C'est parti ! Montrez-moi comment faire \u00ab {name} \u00bb."
             )
+
+            # --- P1-LEA-SHADOW : d\u00e9clencher d'abord l'orchestrateur L\u00e9a Linux ---
+            # On contacte agent-chat AVANT la capture locale : si la session
+            # serveur d\u00e9marre, on r\u00e9cup\u00e8re un session_id + un message d'accueil
+            # de L\u00e9a qu'on affiche dans le chat. Si \u00e9chec : mode d\u00e9grad\u00e9
+            # (capture locale uniquement, sans assistance conversationnelle).
+            self._start_lea_orchestrator_session(name)
+
+            # --- Comportement historique pr\u00e9serv\u00e9 : capture locale ---
+            # Le pipeline streaming (frames/\u00e9v\u00e9nements) reste pilot\u00e9 par
+            # agent_v1 local. L'orchestrateur Linux ne touche PAS \u00e0 la
+            # capture, il pilote uniquement le dialogue de fin de session.
             try:
-                # Utiliser l'etat partage si disponible (synchronise le systray)
                 if self._shared_state is not None:
                     self._shared_state.start_recording(name)
                 elif self._on_start_callback is not None:
@@ -1533,6 +1693,60 @@ class ChatWindow:
             except Exception as e:
                 self._add_lea_message(f"Oups, un probl\u00e8me : {e}")
 
+    def _start_lea_orchestrator_session(self, session_name: str) -> None:
+        """Appelle POST /api/learn/start c\u00f4t\u00e9 agent-chat Linux (P1-LEA-SHADOW).
+
+        Fail-safe : toute erreur (config absente, httpx manquant, timeout,
+        500 serveur...) bascule en mode d\u00e9grad\u00e9 sans bloquer la capture
+        locale. Un message clair est affich\u00e9 dans le chat.
+        """
+        try:
+            from ..config import AGENT_CHAT_URL, API_TOKEN, MACHINE_ID
+            from ..network.lea_orchestrator_client import (
+                LeaOrchestratorError,
+                start_learning_session,
+            )
+        except Exception as exc:  # pragma: no cover (import-time)
+            logger.error("Impossible de charger le client orchestrateur L\u00e9a : %s", exc)
+            self._add_lea_message(
+                "\u26a0 Impossible de joindre L\u00e9a serveur. "
+                "L'apprentissage continue localement, mais sans assistance "
+                "conversationnelle."
+            )
+            return
+
+        try:
+            resp = start_learning_session(
+                AGENT_CHAT_URL,
+                machine_id=MACHINE_ID,
+                session_name=session_name,
+                api_token=API_TOKEN,
+                trigger_source="windows_button",
+            )
+        except LeaOrchestratorError as exc:
+            logger.error("Orchestrateur L\u00e9a injoignable : %s", exc)
+            self._add_lea_message(
+                "\u26a0 Impossible de joindre L\u00e9a serveur. "
+                "L'apprentissage continue localement, mais sans assistance "
+                "conversationnelle."
+            )
+            return
+        except Exception as exc:  # noqa: BLE001 \u2014 d\u00e9fensif
+            logger.exception("Erreur inattendue orchestrateur L\u00e9a")
+            self._add_lea_message(
+                f"\u26a0 Erreur orchestrateur L\u00e9a : {exc}. "
+                "L'apprentissage continue localement."
+            )
+            return
+
+        # Affichage du message d'accueil renvoy\u00e9 par L\u00e9a (si pr\u00e9sent)
+        if resp.message:
+            self._add_lea_message(resp.message)
+        logger.info(
+            "Session orchestrateur L\u00e9a OK : id=%s state=%s",
+            resp.session_id, resp.state,
+        )
+
     def _on_quick_tasks(self) -> None:
         """Bouton Lancer — demande ce que L\u00e9a sait faire."""
         self._add_user_message("Qu'est-ce que vous savez faire ?")

agent_v0/agent_v1/ui/message_contract.py

@@ -0,0 +1,484 @@
+"""Contrat de lisibilite des messages visibles par l'humain.
+
+Ce module ne branche encore aucun point runtime. Il fournit une brique pure et
+testable pour que les sorties UI de Lea puissent refuser les messages trop
+generiques ou trop techniques avant affichage.
+"""
+
+from __future__ import annotations
+
+import logging
+import re
+import unicodedata
+from dataclasses import dataclass
+from typing import Iterable, Mapping
+
+
+logger = logging.getLogger(__name__)
+
+SUPERVISED_PAUSE_LABELS = (
+    "J'essaie de",
+    "J'attendais",
+    "Je vois",
+    "Peux-tu",
+)
+
+MAX_VISIBLE_MESSAGE_CHARS = 720
+MAX_FIELD_CHARS = 180
+MIN_FIELD_CHARS = 4
+
+_GENERIC_PHRASES = (
+    "un element",
+    "un élément",
+    "l'element",
+    "l'élément",
+    "element inconnu",
+    "élément inconnu",
+    "cette action",
+    "cette cible",
+    "cible inconnue",
+    "validation requise",
+    "action requise",
+)
+
+_ACTIONABLE_FRENCH_HINTS = (
+    "peux-tu",
+    "cliquer",
+    "ouvrir",
+    "selectionner",
+    "sélectionner",
+    "choisir",
+    "saisir",
+    "corriger",
+    "montrer",
+    "indiquer",
+    "valider",
+    "fermer",
+    "placer",
+    "mettre",
+    "reprendre",
+)
+
+_TECHNICAL_ENGLISH_TERMS = (
+    "target_not_found",
+    "target not found",
+    "no_screen_change",
+    "no screen change",
+    "wrong_window",
+    "wrong window",
+    "validation required",
+    "retry",
+    "fallback",
+    "timeout",
+    "screenshot",
+    "validator",
+    "failure",
+    "failed",
+    "resolve target",
+    "postcondition",
+    "please",
+    "click",
+    "button",
+    "target",
+    "expected",
+    "actual",
+    "observed",
+)
+
+_TECHNICAL_FIELD_RE = re.compile(
+    r"\b(?:"
+    r"action_id|replay_id|session_id|workflow_id|machine_id|target_spec|"
+    r"vlm_description|resolution_method|resolution_score|retry_count|"
+    r"x_pct|y_pct|screenshot_b64|expected_window_title|current_action_index"
+    r")\b",
+    re.IGNORECASE,
+)
+_TECHNICAL_IDENTIFIER_RE = re.compile(
+    r"\b(?:action|replay|session|sess|workflow|node|edge|target|retry|"
+    r"precheck|wait|trace|event|machine|run)_[A-Za-z0-9][A-Za-z0-9_.:-]{3,}\b"
+)
+_UUID_RE = re.compile(
+    r"\b[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}\b",
+    re.IGNORECASE,
+)
+_LONG_HEX_RE = re.compile(r"\b[0-9a-f]{16,}\b", re.IGNORECASE)
+_PIXEL_TUPLE_RE = re.compile(r"\(\s*\d{2,5}\s*,\s*\d{2,5}\s*\)")
+_PIXEL_FIELD_RE = re.compile(
+    r"\b(?:x|y|left|top|width|height|w|h|x_pct|y_pct)\s*[=:]\s*-?\d+(?:[.,]\d+)?",
+    re.IGNORECASE,
+)
+_PX_RE = re.compile(r"\b\d{2,5}\s*px\b", re.IGNORECASE)
+_SCORE_RE = re.compile(
+    r"\b(?:score|confidence|confiance|similarit[eé]|threshold|seuil|"
+    r"probabilit[eé])\s*[:=]\s*\d+(?:[.,]\d+)?%?\b",
+    re.IGNORECASE,
+)
+
+@dataclass(frozen=True)
+class MessageValidationIssue:
+    """Un probleme detecte dans un message visible par l'humain."""
+
+    code: str
+    detail: str
+
+
+@dataclass(frozen=True)
+class MessageValidationResult:
+    """Resultat de validation d'un message utilisateur."""
+
+    issues: tuple[MessageValidationIssue, ...] = ()
+
+    @property
+    def valid(self) -> bool:
+        return not self.issues
+
+    def raise_for_errors(self) -> None:
+        if not self.valid:
+            raise MessageContractError(self)
+
+
+class MessageContractError(ValueError):
+    """Erreur levee quand un message ne respecte pas le contrat humain."""
+
+    def __init__(self, result: MessageValidationResult):
+        self.result = result
+        details = "; ".join(f"{issue.code}: {issue.detail}" for issue in result.issues)
+        super().__init__(f"Message humain invalide: {details}")
+
+
+@dataclass(frozen=True)
+class SupervisedPauseFields:
+    """Champs obligatoires pour expliquer une pause supervisee."""
+
+    intention: str
+    attendu: str
+    vu: str
+    demande: str
+
+
+DEFAULT_SUPERVISED_PAUSE_FIELDS = SupervisedPauseFields(
+    intention="continuer une etape supervisee",
+    attendu="un accord humain clair avant de continuer",
+    vu="je suis sur une etape qui demande une verification humaine",
+    demande="indiquer si je peux continuer ou corriger l'action attendue",
+)
+
+
+def format_supervised_pause_message(
+    *,
+    intention: str,
+    attendu: str,
+    vu: str,
+    demande: str,
+) -> str:
+    """Formatter une pause supervisee claire et actionnable.
+
+    Le message retourne exactement quatre lignes. Si un champ reste vague ou
+    technique, la fonction leve ``MessageContractError`` au lieu de produire un
+    message degradant pour l'utilisateur.
+    """
+
+    fields = SupervisedPauseFields(
+        intention=_one_line(intention),
+        attendu=_one_line(attendu),
+        vu=_one_line(vu),
+        demande=_one_line(demande),
+    )
+    message = "\n".join(
+        (
+            f"J'essaie de : {fields.intention}",
+            f"J'attendais : {fields.attendu}",
+            f"Je vois     : {fields.vu}",
+            f"Peux-tu     : {fields.demande}",
+        )
+    )
+    validate_supervised_pause_message(message).raise_for_errors()
+    return message
+
+
+def format_supervised_pause_from_mapping(payload: Mapping[str, object]) -> str:
+    """Formatter depuis un mapping runtime avec noms de champs explicites.
+
+    Alias acceptes pour faciliter l'integration progressive:
+    ``intention|trying_to``, ``attendu|expected``, ``vu|observed``,
+    ``demande|request``.
+    """
+
+    return format_supervised_pause_message(
+        intention=_mapping_text(payload, "intention", "trying_to"),
+        attendu=_mapping_text(payload, "attendu", "expected"),
+        vu=_mapping_text(payload, "vu", "observed"),
+        demande=_mapping_text(payload, "demande", "request"),
+    )
+
+
+def coerce_supervised_pause_message(
+    message: object = "",
+    *,
+    intention: object = "",
+    attendu: object = "",
+    vu: object = "",
+    demande: object = "",
+) -> str:
+    """Retourner une pause supervisee valide, meme depuis un ancien message.
+
+    Si ``message`` respecte deja le contrat strict, il est conserve. Sinon on
+    compose les quatre champs avec les valeurs explicites disponibles. Les
+    valeurs trop vagues ou techniques sont remplacees par des fallbacks clairs.
+    """
+
+    raw_message = _one_line(message)
+    if raw_message and validate_supervised_pause_message(raw_message).valid:
+        return raw_message
+
+    defaults = DEFAULT_SUPERVISED_PAUSE_FIELDS
+    candidates = SupervisedPauseFields(
+        intention=_safe_field_text(intention, defaults.intention),
+        attendu=_safe_field_text(attendu, defaults.attendu),
+        vu=_safe_field_text(vu, defaults.vu),
+        demande=_safe_field_text(demande or raw_message, defaults.demande),
+    )
+
+    try:
+        return format_supervised_pause_message(
+            intention=candidates.intention,
+            attendu=candidates.attendu,
+            vu=candidates.vu,
+            demande=candidates.demande,
+        )
+    except MessageContractError:
+        return format_supervised_pause_message(
+            intention=defaults.intention,
+            attendu=defaults.attendu,
+            vu=defaults.vu,
+            demande=defaults.demande,
+        )
+
+
+def warn_visible_message(
+    message: object,
+    *,
+    source: str,
+    supervised_pause: bool = False,
+) -> str:
+    """Log contract violations without modifying the visible message."""
+
+    text = str(message or "")
+    validator = validate_supervised_pause_message if supervised_pause else validate_visible_message
+    result = validator(text)
+    if not result.valid:
+        logger.warning(
+            "[message_contract] invalid_message source=%s codes=%s",
+            source,
+            [issue.code for issue in result.issues],
+        )
+    return text
+
+
+def validate_supervised_pause_message(message: str) -> MessageValidationResult:
+    """Valider le contrat strict d'une pause supervisee."""
+
+    issues = list(validate_visible_message(message).issues)
+    fields, structure_issues = _parse_supervised_pause(message)
+    issues.extend(structure_issues)
+
+    if fields:
+        for name, value in fields.items():
+            if len(value) < MIN_FIELD_CHARS:
+                issues.append(
+                    MessageValidationIssue(
+                        "field_too_short",
+                        f"{name} doit etre explicite",
+                    )
+                )
+            if len(value) > MAX_FIELD_CHARS:
+                issues.append(
+                    MessageValidationIssue(
+                        "field_too_long",
+                        f"{name} depasse {MAX_FIELD_CHARS} caracteres",
+                    )
+                )
+        demande = fields.get("demande", "")
+        if not _contains_actionable_french(demande) or len(demande.split()) < 4:
+            issues.append(
+                MessageValidationIssue(
+                    "not_actionable",
+                    "la demande doit contenir une action concrete en francais",
+                )
+            )
+
+    return _dedupe_issues(issues)
+
+
+def validate_visible_message(message: str) -> MessageValidationResult:
+    """Valider qu'un message visible n'est ni generique ni technique."""
+
+    text = str(message or "").strip()
+    issues: list[MessageValidationIssue] = []
+
+    if not text:
+        return MessageValidationResult(
+            (MessageValidationIssue("empty_message", "message vide"),)
+        )
+
+    if len(text) > MAX_VISIBLE_MESSAGE_CHARS:
+        issues.append(
+            MessageValidationIssue(
+                "message_too_long",
+                f"message au-dela de {MAX_VISIBLE_MESSAGE_CHARS} caracteres",
+            )
+        )
+
+    folded = _fold(text)
+    seen_generic_phrases: set[str] = set()
+    for phrase in _GENERIC_PHRASES:
+        folded_phrase = _fold(phrase)
+        if folded_phrase in seen_generic_phrases:
+            continue
+        seen_generic_phrases.add(folded_phrase)
+        if folded_phrase in folded:
+            issues.append(
+                MessageValidationIssue(
+                    "generic_phrase",
+                    f"formulation trop generique: {phrase}",
+                )
+            )
+
+    for term in _TECHNICAL_ENGLISH_TERMS:
+        if _fold(term) in folded:
+            issues.append(
+                MessageValidationIssue(
+                    "technical_english",
+                    f"anglais technique visible: {term}",
+                )
+            )
+
+    for code, pattern, detail in (
+        ("technical_field", _TECHNICAL_FIELD_RE, "champ technique brut"),
+        ("technical_identifier", _TECHNICAL_IDENTIFIER_RE, "identifiant technique brut"),
+        ("technical_identifier", _UUID_RE, "UUID brut"),
+        ("technical_identifier", _LONG_HEX_RE, "hash technique brut"),
+        ("raw_coordinates", _PIXEL_TUPLE_RE, "coordonnees pixel brutes"),
+        ("raw_coordinates", _PIXEL_FIELD_RE, "coordonnees techniques brutes"),
+        ("raw_coordinates", _PX_RE, "coordonnees pixel brutes"),
+        ("raw_score", _SCORE_RE, "score ou confiance brut"),
+    ):
+        if pattern.search(text):
+            issues.append(MessageValidationIssue(code, detail))
+
+    return _dedupe_issues(issues)
+
+
+def is_valid_visible_message(message: str) -> bool:
+    """Raccourci booleen pour les points d'integration UI."""
+
+    return validate_visible_message(message).valid
+
+
+def is_valid_supervised_pause_message(message: str) -> bool:
+    """Raccourci booleen pour les pauses supervisees."""
+
+    return validate_supervised_pause_message(message).valid
+
+
+def _parse_supervised_pause(
+    message: str,
+) -> tuple[dict[str, str], list[MessageValidationIssue]]:
+    lines = [line.rstrip() for line in str(message or "").splitlines() if line.strip()]
+    issues: list[MessageValidationIssue] = []
+
+    if len(lines) != 4:
+        issues.append(
+            MessageValidationIssue(
+                "invalid_structure",
+                "une pause supervisee doit contenir exactement 4 lignes",
+            )
+        )
+        return {}, issues
+
+    specs = (
+        ("intention", r"^J'essaie de\s*:\s*(.+)$"),
+        ("attendu", r"^J'attendais\s*:\s*(.+)$"),
+        ("vu", r"^Je vois\s*:\s*(.+)$"),
+        ("demande", r"^Peux-tu\s*:\s*(.+)$"),
+    )
+    fields: dict[str, str] = {}
+    for line, (name, pattern) in zip(lines, specs):
+        match = re.match(pattern, line)
+        if not match:
+            issues.append(
+                MessageValidationIssue(
+                    "invalid_structure",
+                    f"ligne {len(fields) + 1} doit commencer par {SUPERVISED_PAUSE_LABELS[len(fields)]}",
+                )
+            )
+            continue
+        fields[name] = match.group(1).strip()
+
+    if len(fields) != 4:
+        return {}, issues
+
+    return fields, issues
+
+
+def _contains_actionable_french(text: str) -> bool:
+    folded = _fold(text)
+    return any(_fold(hint) in folded for hint in _ACTIONABLE_FRENCH_HINTS)
+
+
+def _one_line(value: object) -> str:
+    return re.sub(r"\s+", " ", str(value or "")).strip()
+
+
+def _mapping_text(payload: Mapping[str, object], *keys: str) -> str:
+    for key in keys:
+        value = payload.get(key)
+        if value is not None:
+            return str(value)
+    return ""
+
+
+def _safe_field_text(value: object, fallback: str) -> str:
+    text = _one_line(value)
+    if len(text) < MIN_FIELD_CHARS or len(text) > MAX_FIELD_CHARS:
+        return fallback
+    if not validate_visible_message(text).valid:
+        return fallback
+    return text
+
+
+def _fold(text: str) -> str:
+    normalized = unicodedata.normalize("NFKD", str(text or ""))
+    ascii_text = "".join(ch for ch in normalized if not unicodedata.combining(ch))
+    return ascii_text.casefold()
+
+
+def _dedupe_issues(issues: Iterable[MessageValidationIssue]) -> MessageValidationResult:
+    seen: set[tuple[str, str]] = set()
+    deduped: list[MessageValidationIssue] = []
+    for issue in issues:
+        key = (issue.code, issue.detail)
+        if key in seen:
+            continue
+        seen.add(key)
+        deduped.append(issue)
+    return MessageValidationResult(tuple(deduped))
+
+
+__all__ = [
+    "MAX_FIELD_CHARS",
+    "MAX_VISIBLE_MESSAGE_CHARS",
+    "MessageContractError",
+    "MessageValidationIssue",
+    "MessageValidationResult",
+    "SUPERVISED_PAUSE_LABELS",
+    "SupervisedPauseFields",
+    "coerce_supervised_pause_message",
+    "format_supervised_pause_from_mapping",
+    "format_supervised_pause_message",
+    "is_valid_supervised_pause_message",
+    "is_valid_visible_message",
+    "validate_supervised_pause_message",
+    "validate_visible_message",
+    "warn_visible_message",
+]

agent_v0/agent_v1/ui/messages.py

@@ -82,6 +82,12 @@ ICONE_PAR_NIVEAU: dict[NiveauMessage, str] = {
     NiveauMessage.BLOCAGE: "?",
 }
 
+# Les pauses supervisees peuvent contenir une raison precise, parfois longue
+# (fenetre observee, fenetre attendue, action en cours). On garde l'information
+# utile et on laisse les widgets UI gerer le wrap/scroll.
+MAX_TARGET_DESCRIPTION_CHARS = 1024
+MAX_GENERIC_TECHNICAL_MESSAGE_CHARS = 1024
+
 
 @dataclass
 class MessageUtilisateur:
@@ -147,9 +153,9 @@ def _nettoyer_description_cible(description: str) -> str:
     desc = description.strip()
     # Retirer les guillemets encapsulants
     desc = desc.strip("'\"`")
-    # Limiter la longueur
-    if len(desc) > 80:
-        desc = desc[:77] + "..."
+    # Limiter la longueur sans perdre les details utiles a la supervision.
+    if len(desc) > MAX_TARGET_DESCRIPTION_CHARS:
+        desc = desc[: MAX_TARGET_DESCRIPTION_CHARS - 3] + "..."
     return desc
 
 
@@ -566,8 +572,8 @@ def formatter_erreur_generique(
 
     # Fallback : message technique tronqué
     msg_tronque = message_technique.strip()
-    if len(msg_tronque) > 120:
-        msg_tronque = msg_tronque[:117] + "..."
+    if len(msg_tronque) > MAX_GENERIC_TECHNICAL_MESSAGE_CHARS:
+        msg_tronque = msg_tronque[: MAX_GENERIC_TECHNICAL_MESSAGE_CHARS - 3] + "..."
 
     return MessageUtilisateur(
         niveau=NiveauMessage.ATTENTION,

agent_v0/agent_v1/ui/smart_tray.py

@@ -371,7 +371,13 @@ class SmartTrayV1:
             )
             if name and name.strip():
                 name = name.strip()
-                # Utiliser l'etat partage si disponible
+
+                # --- P1-LEA-SHADOW : d\u00e9clencher d'abord l'orchestrateur L\u00e9a Linux ---
+                # On contacte agent-chat AVANT la capture locale. Si \u00e9chec,
+                # bascule en mode d\u00e9grad\u00e9 (capture locale sans assistance).
+                self._start_lea_orchestrator_session(name)
+
+                # --- Comportement historique pr\u00e9serv\u00e9 : capture locale ---
                 if self._shared_state is not None:
                     try:
                         self._shared_state.start_recording(name)
@@ -393,6 +399,55 @@ class SmartTrayV1:
 
         threading.Thread(target=_dialog, daemon=True).start()
 
+    def _start_lea_orchestrator_session(self, session_name: str) -> None:
+        """Appelle POST /api/learn/start côté agent-chat Linux (P1-LEA-SHADOW).
+
+        Fail-safe : toute erreur (config absente, httpx manquant, timeout,
+        5xx serveur...) bascule en mode dégradé sans bloquer la capture
+        locale. L'utilisateur est informé via le NotificationManager.
+        """
+        try:
+            from ..config import AGENT_CHAT_URL, API_TOKEN, MACHINE_ID
+            from ..network.lea_orchestrator_client import (
+                LeaOrchestratorError,
+                start_learning_session,
+            )
+        except Exception as exc:  # pragma: no cover (import-time)
+            logger.error("Impossible de charger le client orchestrateur Léa : %s", exc)
+            self._notifier.notify(
+                "Léa",
+                "Serveur injoignable — apprentissage local uniquement.",
+            )
+            return
+
+        try:
+            resp = start_learning_session(
+                AGENT_CHAT_URL,
+                machine_id=MACHINE_ID,
+                session_name=session_name,
+                api_token=API_TOKEN,
+                trigger_source="tray_button",
+            )
+        except LeaOrchestratorError as exc:
+            logger.error("Orchestrateur Léa injoignable : %s", exc)
+            self._notifier.notify(
+                "Léa",
+                "Serveur injoignable — apprentissage local uniquement.",
+            )
+            return
+        except Exception:  # noqa: BLE001 — défensif
+            logger.exception("Erreur inattendue orchestrateur Léa")
+            self._notifier.notify(
+                "Léa",
+                "Erreur orchestrateur — apprentissage local uniquement.",
+            )
+            return
+
+        logger.info(
+            "Session orchestrateur Léa OK : id=%s state=%s",
+            resp.session_id, resp.state,
+        )
+
     def _on_stop_session(self, _icon=None, _item=None) -> None:
         """Termine la session en cours et envoie les donnees."""
         count = self.actions_count

agent_v0/deploy/windows_client/agent_v1/core/captor.py

@@ -43,6 +43,9 @@ class EventCaptorV1:
 
         # État des touches modificatrices
         self.modifiers = set()
+        self._pending_standalone_win = False
+        self._suppress_release_only_win_combo = False
+        self._raw_key_buffer: List[Dict[str, Any]] = []
 
         # Tracking du focus fenêtre
         self.last_window = None
@@ -91,6 +94,7 @@ class EventCaptorV1:
         # Flush du buffer texte restant avant arrêt
         self._flush_text_buffer()
         # Annuler le timer s'il est en cours
+        emit_escape = False
         with self._text_lock:
             if self._text_flush_timer is not None:
                 self._text_flush_timer.cancel()
@@ -159,7 +163,80 @@ class EventCaptorV1:
     # Clavier
     # ----------------------------------------------------------------
 
+    @staticmethod
+    def _get_key_name(key) -> Optional[str]:
+        """Convertit un objet pynput Key/KeyCode en nom lisible."""
+        if isinstance(key, KeyCode):
+            return key.char if key.char else None
+        if isinstance(key, Key):
+            return key.name
+        return str(key)
+
+    @staticmethod
+    def _encode_key(key) -> Dict[str, Any]:
+        if isinstance(key, KeyCode):
+            return {"kind": "vk", "vk": key.vk, "char": key.char}
+        if isinstance(key, Key):
+            return {"kind": "key", "name": key.name}
+        return {"kind": "unknown", "str": str(key)}
+
+    @staticmethod
+    def _raw_key_name(raw_key: Dict[str, Any]) -> Optional[str]:
+        if raw_key.get("kind") == "vk":
+            char = raw_key.get("char")
+            if char and len(str(char)) == 1:
+                return str(char).lower()
+        if raw_key.get("kind") == "key":
+            name = raw_key.get("name")
+            return str(name).lower() if name else None
+        return None
+
+    def _emit_release_only_windows_combo(self) -> bool:
+        """Infère Win+<touche> quand seuls les releases sont capturés."""
+        with self._text_lock:
+            raw_keys = list(getattr(self, "_raw_key_buffer", []))
+            if len(raw_keys) < 2:
+                return False
+            cmd_names = {"cmd", "cmd_l", "cmd_r"}
+            last = raw_keys[-1]
+            if last.get("action") != "release" or self._raw_key_name(last) not in cmd_names:
+                return False
+            combo_key = None
+            modifier_names = {
+                "ctrl", "ctrl_l", "ctrl_r",
+                "alt", "alt_l", "alt_r",
+                "shift", "shift_l", "shift_r",
+                "cmd", "cmd_l", "cmd_r",
+            }
+            for raw in reversed(raw_keys[:-1]):
+                if raw.get("action") != "release":
+                    continue
+                name = self._raw_key_name(raw)
+                if name and name not in modifier_names:
+                    combo_key = name
+                    break
+            if not combo_key:
+                return False
+            self._raw_key_buffer.clear()
+
+        event = {
+            "type": "key_combo",
+            "keys": ["win", combo_key],
+            "raw_keys": raw_keys,
+            "timestamp": time.time(),
+        }
+        self.on_event(event)
+        return True
+
     def _on_press(self, key):
+        with self._text_lock:
+            if not hasattr(self, "_raw_key_buffer"):
+                self._raw_key_buffer = []
+            self._raw_key_buffer.append({
+                "action": "press",
+                **self._encode_key(key),
+            })
+
         # Gestion des touches modificatrices
         if key in (Key.ctrl, Key.ctrl_l, Key.ctrl_r):
             self.modifiers.add("ctrl")
@@ -167,15 +244,26 @@ class EventCaptorV1:
             self.modifiers.add("alt")
         elif key in (Key.shift, Key.shift_l, Key.shift_r):
             self.modifiers.add("shift")
+        elif key in (Key.cmd, Key.cmd_l, Key.cmd_r):
+            self.modifiers.add("win")
+            self._pending_standalone_win = True
 
         # --- Combos avec modificateur (sauf Shift seul) ---
         # Shift seul n'est pas un « vrai » modificateur pour les combos :
         # Shift+a = 'A' = saisie texte, pas un raccourci.
-        # On considère un combo seulement si Ctrl ou Alt est enfoncé.
-        has_real_modifier = self.modifiers & {"ctrl", "alt"}
+        # On considère un combo seulement si Ctrl, Alt ou Win est enfoncé.
+        has_real_modifier = self.modifiers & {"ctrl", "alt", "win"}
         if has_real_modifier:
             key_name = self._get_key_name(key)
-            if key_name and key_name not in ("ctrl", "alt", "shift"):
+            if key_name and key_name not in (
+                "ctrl", "ctrl_l", "ctrl_r",
+                "alt", "alt_l", "alt_r",
+                "shift", "shift_l", "shift_r",
+                "cmd", "cmd_l", "cmd_r",
+            ):
+                self._pending_standalone_win = False
+                if "win" in self.modifiers:
+                    self._suppress_release_only_win_combo = True
                 # Un combo interrompt la saisie texte en cours
                 self._flush_text_buffer()
                 event = {
@@ -205,14 +293,18 @@ class EventCaptorV1:
                 self._reset_flush_timer()
                 return
 
-            if key == Key.escape:
+            escape_keys = [Key.esc]
+            key_escape = getattr(Key, "escape", None)
+            if key_escape is not None:
+                escape_keys.append(key_escape)
+            if key in escape_keys:
                 # Annuler la saisie en cours
                 self._text_buffer.clear()
                 self._text_start_pos = None
                 self._cancel_flush_timer()
-                return
+                emit_escape = True
 
-            if key in (Key.enter, Key.tab):
+            elif key in (Key.enter, Key.tab):
                 # Flush immédiat — on relâche le lock avant d'appeler
                 # _flush_text_buffer (qui prend aussi le lock)
                 pass  # on sort du with et on flush après
@@ -238,6 +330,15 @@ class EventCaptorV1:
                 # Touche spéciale non gérée (F1, Insert, etc.) — on ignore
                 return
 
+        if emit_escape:
+            event = {
+                "type": "key_combo",
+                "keys": ["escape"],
+                "timestamp": time.time(),
+            }
+            self.on_event(event)
+            return
+
         # Si on arrive ici, c'est Enter ou Tab → flush immédiat
         self._flush_text_buffer()
 
@@ -290,12 +391,46 @@ class EventCaptorV1:
         self.on_event(event)
 
     def _on_release(self, key):
+        with self._text_lock:
+            self._raw_key_buffer.append({
+                "action": "release",
+                **self._encode_key(key),
+            })
+
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._suppress_release_only_win_combo:
+            with self._text_lock:
+                self._raw_key_buffer.clear()
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+            self.modifiers.discard("win")
+            return
+
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._emit_release_only_windows_combo():
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+            self.modifiers.discard("win")
+            return
+
+        if key in (Key.cmd, Key.cmd_l, Key.cmd_r) and self._pending_standalone_win:
+            event = {
+                "type": "key_combo",
+                "keys": ["win"],
+                "timestamp": time.time(),
+            }
+            self.on_event(event)
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
+
         if key in (Key.ctrl, Key.ctrl_l, Key.ctrl_r):
             self.modifiers.discard("ctrl")
         elif key in (Key.alt, Key.alt_l, Key.alt_r):
             self.modifiers.discard("alt")
         elif key in (Key.shift, Key.shift_l, Key.shift_r):
             self.modifiers.discard("shift")
+        elif key in (Key.cmd, Key.cmd_l, Key.cmd_r):
+            self.modifiers.discard("win")
+            self._pending_standalone_win = False
+            self._suppress_release_only_win_combo = False
 
     def _watch_window_focus(self):
         """Surveille proactivement le changement de fenêtre pour le stagiaire."""

core/execution/input_handler.py

@@ -171,13 +171,17 @@ def handle_detected_pattern(pattern: Dict[str, Any]) -> bool:
                 screenshot = sct.grab(monitor)
                 screen = Image.frombytes('RGB', screenshot.size, screenshot.bgra, 'raw', 'BGRX')
 
-            # EasyOCR (rapide, bonne qualité GUI) avec fallback docTR.
-            # gpu=True : harmonisé avec dialog_handler.py et title_verifier.py.
-            # Coût VRAM ~0.5 GB, sous le budget RTX 5070 (cf. deploy/VRAM_BUDGET.md).
+            # EasyOCR (bonne qualité GUI) avec fallback docTR. Par défaut CPU :
+            # le replay server réserve la VRAM à Ollama.
             words = []
             try:
                 import easyocr
-                _reader = easyocr.Reader(['fr', 'en'], gpu=True, verbose=False)
+                from core.llm.ocr_extractor import easyocr_gpu_enabled
+                _reader = easyocr.Reader(
+                    ['fr', 'en'],
+                    gpu=easyocr_gpu_enabled(default=False),
+                    verbose=False,
+                )
                 results = _reader.readtext(np.array(screen))
                 for (bbox_pts, text, conf) in results:
                     if not text or len(text.strip()) < 1:

core/grounding/dialog_handler.py

@@ -248,8 +248,10 @@ class DialogHandler:
 
         try:
             import easyocr
+            from core.llm.ocr_extractor import easyocr_gpu_enabled
+            gpu = easyocr_gpu_enabled(default=False)
             self._easyocr_reader = easyocr.Reader(
-                ['fr', 'en'], gpu=True, verbose=False
+                ['fr', 'en'], gpu=gpu, verbose=False
             )
             return self._easyocr_reader
         except ImportError:

core/grounding/fast_detector.py

@@ -144,19 +144,21 @@ class FastDetector:
     _easyocr_reader = None  # Singleton EasyOCR (chargé une fois)
 
     def _ocr_extract(self, image) -> List[Dict[str, Any]]:
-        """Extrait les mots visibles via EasyOCR (GPU, ~500ms).
+        """Extrait les mots visibles via EasyOCR.
 
         Fallback sur docTR si EasyOCR non disponible.
         """
         try:
             import numpy as np
             import easyocr
+            from core.llm.ocr_extractor import easyocr_gpu_enabled
 
             # Singleton : charger le reader une seule fois
             if FastDetector._easyocr_reader is None:
-                print(f"🔍 [FAST/ocr] Chargement EasyOCR (GPU)...")
+                gpu = easyocr_gpu_enabled(default=False)
+                print(f"🔍 [FAST/ocr] Chargement EasyOCR ({'GPU' if gpu else 'CPU'})...")
                 FastDetector._easyocr_reader = easyocr.Reader(
-                    ['fr', 'en'], gpu=True, verbose=False
+                    ['fr', 'en'], gpu=gpu, verbose=False
                 )
 
             results = FastDetector._easyocr_reader.readtext(np.array(image))

core/grounding/title_verifier.py

@@ -148,10 +148,16 @@ class TitleVerifier:
         try:
             import easyocr
             import numpy as np
+            from core.llm.ocr_extractor import easyocr_gpu_enabled
 
             if TitleVerifier._easyocr_reader is None:
+                gpu = easyocr_gpu_enabled(default=False)
                 TitleVerifier._easyocr_reader = easyocr.Reader(
-                    ['fr', 'en'], gpu=True, verbose=False
+                    ['fr', 'en'], gpu=gpu, verbose=False
+                )
+                logger.info(
+                    "TitleVerifier EasyOCR initialisé (fr+en, %s)",
+                    "GPU" if gpu else "CPU",
                 )
 
             def _easyocr_extract_text(img):

tests/conftest.py

@@ -12,6 +12,7 @@ Ce fichier garantit que:
 - Le GPU est vérifié avant les tests qui en ont besoin
 """
 import sys
+import types
 from pathlib import Path
 
 import pytest
@@ -31,6 +32,42 @@ except ImportError as e:
     print(f"   sys.path: {sys.path[:3]}...")
 
 
+# Certains tests HTTP d'agent_chat n'ont pas besoin du transport SocketIO reel.
+# Le service de production garde Flask-SocketIO comme dependance, mais l'env de
+# test local peut etre minimal. On fournit alors un shim strictement pytest.
+try:
+    import flask_socketio  # noqa: F401
+except ModuleNotFoundError:
+    flask_socketio = types.ModuleType("flask_socketio")
+
+    class _FakeSocketIO:
+        def __init__(self, app=None, *args, **kwargs):
+            self.app = app
+            self.args = args
+            self.kwargs = kwargs
+            self.handlers = {}
+            self.emitted = []
+
+        def on(self, event):
+            def decorator(func):
+                self.handlers[event] = func
+                return func
+            return decorator
+
+        def emit(self, event, payload=None, **kwargs):
+            self.emitted.append((event, payload, kwargs))
+
+        def run(self, *args, **kwargs):
+            return None
+
+    def _fake_emit(*_args, **_kwargs):
+        return None
+
+    flask_socketio.SocketIO = _FakeSocketIO
+    flask_socketio.emit = _fake_emit
+    sys.modules["flask_socketio"] = flask_socketio
+
+
 # =============================================================================
 # GPU Preflight — vérification avant les tests GPU
 # =============================================================================

tests/integration/test_agent_chat_learn_action_integration.py

@@ -0,0 +1,254 @@
+"""Tests integration pour agent_chat.handlers.learn_action.
+
+Mocks HTTP uniquement — pas de lancement du streaming server réel.
+"""
+
+from __future__ import annotations
+
+import json
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from agent_chat.handlers.learn_action import (
+    LearnActionOrchestrator,
+    LearnIntentParser,
+    LearnState,
+    StateStore,
+    StreamingClient,
+)
+
+
+@pytest.fixture
+def fake_http_client():
+    """Mock httpx.Client (méthode request)."""
+    client = MagicMock()
+    return client
+
+
+def _mk_response(status: int = 200, body: dict | None = None):
+    resp = MagicMock()
+    resp.status_code = status
+    resp.json.return_value = body or {}
+    resp.text = json.dumps(body or {})
+    return resp
+
+
+class TestStreamingClient:
+    def test_shadow_start_calls_correct_endpoint(self, fake_http_client):
+        fake_http_client.request.return_value = _mk_response(200, {"ok": True})
+        client = StreamingClient(
+            base_url="http://stream:5005",
+            token="abc",
+            http_client=fake_http_client,
+            retries=0,
+        )
+        out = client.shadow_start("sid_xyz", user_id="dom")
+        assert out == {"ok": True}
+        call = fake_http_client.request.call_args
+        assert call[0][0] == "POST"
+        assert call[0][1] == "http://stream:5005/api/v1/shadow/start"
+        assert call[1]["json"]["session_id"] == "sid_xyz"
+        assert "Authorization" in call[1]["headers"]
+        assert call[1]["headers"]["Authorization"] == "Bearer abc"
+
+    def test_retry_on_failure(self, fake_http_client):
+        # 1ere tentative : exception, 2eme : succès
+        fake_http_client.request.side_effect = [
+            Exception("conn refused"),
+            _mk_response(200, {"ok": True}),
+        ]
+        client = StreamingClient(
+            base_url="http://stream:5005",
+            token="",
+            http_client=fake_http_client,
+            retries=1,
+        )
+        out = client.shadow_stop("sid")
+        assert out == {"ok": True}
+        assert fake_http_client.request.call_count == 2
+
+    def test_retry_exhausted_raises(self, fake_http_client):
+        fake_http_client.request.side_effect = Exception("boom")
+        client = StreamingClient(
+            base_url="http://stream:5005",
+            token="",
+            http_client=fake_http_client,
+            retries=2,
+        )
+        with pytest.raises(RuntimeError, match="unreachable"):
+            client.shadow_stop("sid")
+
+
+class TestFullFlowIntegration:
+    def test_end_to_end_with_http_mock(self, tmp_path, fake_http_client):
+        # Mock séquence HTTP : start, stop, understanding, build, persist
+        understanding_body = {
+            "understanding": [
+                {"action_type": "click", "target_label": "Patient", "widget_type": "Fenêtre"},
+                {
+                    "action_type": "type",
+                    "target_label": "IPP",
+                    "widget_type": "Champ",
+                    "value": "25003284",
+                },
+            ]
+        }
+        fake_http_client.request.side_effect = [
+            _mk_response(200, {"ok": True}),       # shadow_start
+            _mk_response(200, {"ok": True}),       # shadow_stop
+            _mk_response(200, understanding_body), # shadow_understanding
+            _mk_response(200, {"ok": True}),       # shadow_build
+            _mk_response(200, {"slug": "facture_urg"}),  # persist
+        ]
+        client = StreamingClient(
+            base_url="http://stream:5005",
+            token="t",
+            http_client=fake_http_client,
+            retries=0,
+        )
+        orch = LearnActionOrchestrator(
+            streaming_client=client,
+            intent_parser=LearnIntentParser(use_llm_fallback=False),
+            state_store=StateStore(tmp_path),
+            emit=MagicMock(),
+        )
+
+        st, _ = orch.start_session(user_id="dom", machine_id="m1")
+        sid = st.session_id
+        assert st.state == LearnState.WAITING_USER_STOP
+
+        # Stop
+        orch.handle_chat_message(sid, "c'est bon")
+        assert orch._sessions[sid].state == LearnState.ITERATING_FEEDBACK
+
+        # Validation globale
+        orch.handle_chat_message(sid, "parfait")
+        assert orch._sessions[sid].state == LearnState.NAMING
+
+        # Nom
+        orch.handle_chat_message(sid, "facturation urgences")
+
+        # Marquer IPP comme paramètre
+        reply = orch.handle_chat_message(sid, "ça change à chaque fois")
+        assert orch._sessions[sid].state == LearnState.DONE
+        assert "facture_urg" in (reply or "")
+
+    def test_streaming_down_during_stop(self, tmp_path, fake_http_client):
+        # shadow_start OK, shadow_stop échoue
+        fake_http_client.request.side_effect = [
+            _mk_response(200, {"ok": True}),  # shadow_start
+            Exception("boom 1"),              # shadow_stop attempt 1
+            Exception("boom 2"),              # shadow_stop attempt 2 (retry)
+            Exception("boom 3"),              # shadow_stop attempt 3 (retry)
+        ]
+        client = StreamingClient(
+            base_url="http://stream:5005",
+            token="",
+            http_client=fake_http_client,
+            retries=2,
+        )
+        orch = LearnActionOrchestrator(
+            streaming_client=client,
+            intent_parser=LearnIntentParser(use_llm_fallback=False),
+            state_store=StateStore(tmp_path),
+            emit=MagicMock(),
+        )
+        st, _ = orch.start_session(user_id="dom")
+        sid = st.session_id
+        reply = orch.handle_chat_message(sid, "stop")
+        assert "n'arrive pas à clôturer" in (reply or "") or "réessaie" in (reply or "").lower()
+
+
+# ============================================================
+# POST /api/learn/start (Correction #4)
+# ============================================================
+class TestApiLearnStart:
+    """Tests integration de la route HTTP POST /api/learn/start."""
+
+    def _make_orchestrator(self, tmp_path):
+        client_http = MagicMock()
+        client_http.request.return_value = _mk_response(200, {"ok": True})
+        stream = StreamingClient(
+            base_url="http://stream:5005",
+            token="",
+            http_client=client_http,
+            retries=0,
+        )
+        return LearnActionOrchestrator(
+            streaming_client=stream,
+            intent_parser=LearnIntentParser(use_llm_fallback=False),
+            state_store=StateStore(tmp_path),
+            emit=MagicMock(),
+        )
+
+    def test_api_learn_start_creates_session(self, tmp_path):
+        from agent_chat import app as app_module
+
+        orch = self._make_orchestrator(tmp_path)
+        app_module.learn_action_orchestrator = orch
+        try:
+            client = app_module.app.test_client()
+            resp = client.post(
+                "/api/learn/start",
+                json={
+                    "machine_id": "DESKTOP-58D5CAC_windows",
+                    "user_id": "dom",
+                    "trigger_source": "windows_button",
+                },
+            )
+            assert resp.status_code == 200
+            data = resp.get_json()
+            assert "session_id" in data
+            assert data["state"] == LearnState.WAITING_USER_STOP.value
+            assert data["message"]
+            # Vérifie que la session existe bien côté orchestrateur
+            sid = data["session_id"]
+            assert orch._sessions[sid].machine_id == "DESKTOP-58D5CAC_windows"
+            assert orch._sessions[sid].trigger_source == "windows_button"
+        finally:
+            app_module.learn_action_orchestrator = None
+
+    def test_api_learn_start_400_without_machine_id(self, tmp_path):
+        from agent_chat import app as app_module
+
+        orch = self._make_orchestrator(tmp_path)
+        app_module.learn_action_orchestrator = orch
+        try:
+            client = app_module.app.test_client()
+            resp = client.post("/api/learn/start", json={"user_id": "dom"})
+            assert resp.status_code == 400
+            data = resp.get_json()
+            assert "machine_id" in (data.get("error") or "").lower()
+        finally:
+            app_module.learn_action_orchestrator = None
+
+    def test_api_learn_start_400_with_empty_machine_id(self, tmp_path):
+        from agent_chat import app as app_module
+
+        orch = self._make_orchestrator(tmp_path)
+        app_module.learn_action_orchestrator = orch
+        try:
+            client = app_module.app.test_client()
+            resp = client.post(
+                "/api/learn/start",
+                json={"machine_id": "   "},
+            )
+            assert resp.status_code == 400
+        finally:
+            app_module.learn_action_orchestrator = None
+
+    def test_api_learn_start_503_if_orchestrator_not_initialized(self):
+        from agent_chat import app as app_module
+
+        prev = app_module.learn_action_orchestrator
+        app_module.learn_action_orchestrator = None
+        try:
+            client = app_module.app.test_client()
+            resp = client.post(
+                "/api/learn/start",
+                json={"machine_id": "m1"},
+            )
+            assert resp.status_code == 503
+        finally:
+            app_module.learn_action_orchestrator = prev

tests/integration/test_agents_enroll_api.py

@@ -15,8 +15,10 @@ garantit que l'env est defini AVANT tout import.
 from __future__ import annotations
 
 import os
+import sqlite3
 import sys
 import tempfile
+import time
 from pathlib import Path
 
 import pytest
@@ -273,6 +275,107 @@ def test_reenroll_after_uninstall_reactivates(agents_client):
     assert agent["version"] == "1.1.0"
 
 
+def test_reenroll_after_admin_revoke_is_forbidden(agents_client):
+    client, token, _ = agents_client
+
+    client.post(
+        "/api/v1/agents/enroll",
+        json={"machine_id": "revoked-001", "user_name": "Revoked"},
+        headers=_auth_headers(token),
+    )
+    revoke = client.post(
+        "/api/v1/agents/uninstall",
+        json={"machine_id": "revoked-001", "reason": "admin_revoke"},
+        headers=_auth_headers(token),
+    )
+    assert revoke.status_code == 200
+
+    resp = client.post(
+        "/api/v1/agents/enroll",
+        json={"machine_id": "revoked-001", "user_name": "Revoked Again"},
+        headers=_auth_headers(token),
+    )
+
+    assert resp.status_code == 403, resp.text
+    detail = resp.json()["detail"]
+    assert detail["error"] == "agent_revoked"
+    assert detail["existing"]["machine_id"] == "revoked-001"
+    assert detail["existing"]["uninstall_reason"] == "admin_revoke"
+
+
+def test_revoked_agent_cannot_stream_or_poll(agents_client):
+    client, token, _ = agents_client
+
+    client.post(
+        "/api/v1/agents/enroll",
+        json={"machine_id": "revoked-runtime-001", "user_name": "Runtime"},
+        headers=_auth_headers(token),
+    )
+    client.post(
+        "/api/v1/agents/uninstall",
+        json={"machine_id": "revoked-runtime-001", "reason": "admin_revoke"},
+        headers=_auth_headers(token),
+    )
+
+    event_resp = client.post(
+        "/api/v1/traces/stream/event",
+        json={
+            "session_id": "sess_revoked_runtime",
+            "timestamp": time.time(),
+            "event": {"type": "heartbeat"},
+            "machine_id": "revoked-runtime-001",
+        },
+        headers=_auth_headers(token),
+    )
+    assert event_resp.status_code == 403, event_resp.text
+    assert event_resp.json()["detail"]["error"] == "agent_not_active"
+
+    next_resp = client.get(
+        "/api/v1/traces/stream/replay/next",
+        params={
+            "session_id": "sess_revoked_runtime",
+            "machine_id": "revoked-runtime-001",
+        },
+        headers=_auth_headers(token),
+    )
+    assert next_resp.status_code == 403, next_resp.text
+    assert next_resp.json()["detail"]["error"] == "agent_not_active"
+
+
+def test_active_agent_stream_updates_last_seen(agents_client):
+    client, token, registry = agents_client
+    machine_id = "last-seen-001"
+
+    client.post(
+        "/api/v1/agents/enroll",
+        json={"machine_id": machine_id, "user_name": "Seen"},
+        headers=_auth_headers(token),
+    )
+    stale = "2000-01-01T00:00:00+00:00"
+    with sqlite3.connect(str(registry.db_path)) as conn:
+        conn.execute(
+            "UPDATE enrolled_agents SET last_seen_at = ? WHERE machine_id = ?",
+            (stale, machine_id),
+        )
+        conn.commit()
+
+    resp = client.post(
+        "/api/v1/traces/stream/event",
+        json={
+            "session_id": "sess_last_seen",
+            "timestamp": time.time(),
+            "event": {"type": "heartbeat"},
+            "machine_id": machine_id,
+        },
+        headers=_auth_headers(token),
+    )
+
+    assert resp.status_code == 200, resp.text
+    row = registry.get(machine_id)
+    assert row is not None
+    assert row["last_seen_at"] != stale
+
+
 # ---------------------------------------------------------------------------
 # GET /api/v1/agents/fleet
 # ---------------------------------------------------------------------------

tests/integration/test_build_replay_perf.py

@@ -0,0 +1,198 @@
+"""Mesure du gain perf RPA_SKIP_INTENTION_ENRICHMENT sur build_replay.
+
+Harnais lecture seule : charge une fixture raw events réelle (smoke Bloc-notes
+2026-05-20 - même session que replay_sess_e96e5822 18/18 du 2026-05-25) et
+appelle directement build_replay_from_raw_events() sans déclencher dispatch
+ni replay live.
+
+Ne pas lancer en CI standard : test perf, run manuel uniquement.
+
+Run :
+    .venv/bin/python -m pytest tests/integration/test_build_replay_perf.py \
+        -m performance -s -v
+
+Référence : inbox_claude/2026-05-25_1244_codex-to-claude_recadrage-demo-1juin.md
+(mission C2) et plan docs/plans/PLAN_STABILISATION_DEMO_2026-06-01.md
+(P0 performance mesurable).
+"""
+from __future__ import annotations
+
+import json
+import sys
+import time
+from pathlib import Path
+
+import pytest
+
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+SESSION_DIR = (
+    ROOT
+    / "data"
+    / "training"
+    / "live_sessions"
+    / "DESKTOP-58D5CAC_windows"
+    / "sess_20260520T102916_066851"
+)
+FIXTURE = SESSION_DIR / "live_events.jsonl"
+
+
+def _load_raw_events() -> list:
+    """Charge la fixture raw events réelle (55 events bruts, 16 actions utiles)."""
+    if not FIXTURE.exists():
+        pytest.skip(f"Fixture absente : {FIXTURE}")
+    with FIXTURE.open() as f:
+        return [json.loads(line) for line in f if line.strip()]
+
+
+@pytest.fixture
+def raw_events():
+    return _load_raw_events()
+
+
+@pytest.fixture
+def session_dir() -> str:
+    """Chemin vers session_dir (déclenche l'enrichissement gemma4 si présent)."""
+    if not SESSION_DIR.exists():
+        pytest.skip(f"Session dir absent : {SESSION_DIR}")
+    return str(SESSION_DIR)
+
+
+def _extract_perf_breakdown(caplog) -> list[tuple[str, float]]:
+    """Extrait les spans [PERF] build.step* des logs capturés.
+
+    Format attendu : "[PERF] build.<step_name> session=<sid> elapsed_ms=<X>"
+    Retourne [(step_name, elapsed_ms)] dans l'ordre d'apparition.
+    """
+    import re
+    pattern = re.compile(r"\[PERF\] build\.(\S+) session=\S+ elapsed_ms=([\d.]+)")
+    out = []
+    for record in caplog.records:
+        m = pattern.search(record.getMessage())
+        if m:
+            out.append((m.group(1), float(m.group(2))))
+    return out
+
+
+@pytest.mark.performance
+def test_build_replay_perf_skip_enrichment(monkeypatch, raw_events, session_dir, caplog):
+    """Mesure build_replay_from_raw_events avec et sans RPA_SKIP_INTENTION_ENRICHMENT.
+
+    Asserts :
+        - skip enrichissement est au moins 3x plus rapide
+        - même nombre d'actions produites dans les 2 modes
+        - skip → 0 actions avec intention non-vide
+        - full → au moins 1 action avec intention (preuve que gemma4 a tourné)
+
+    Print [PERF] explicite des deux mesures (capturé via -s).
+    """
+    import logging
+    from agent_v0.server_v1.stream_processor import build_replay_from_raw_events
+
+    # Capter les logs INFO du stream_processor pour récupérer les spans [PERF]
+    caplog.set_level(logging.INFO, logger="agent_v0.server_v1.stream_processor")
+
+    # Premier run : enrichissement actif (comportement legacy)
+    monkeypatch.delenv("RPA_SKIP_INTENTION_ENRICHMENT", raising=False)
+    monkeypatch.delenv("RPA_SKIP_ENRICHMENT", raising=False)
+    t0 = time.perf_counter()
+    actions_full = build_replay_from_raw_events(
+        raw_events, session_id="perf_full", session_dir=session_dir
+    )
+    elapsed_full_ms = (time.perf_counter() - t0) * 1000
+    breakdown_full = _extract_perf_breakdown(caplog)
+    caplog.clear()
+
+    # Second run : skip enrichissement activé (Phase 1 Codex 2026-05-25)
+    monkeypatch.setenv("RPA_SKIP_INTENTION_ENRICHMENT", "1")
+    t0 = time.perf_counter()
+    actions_skip = build_replay_from_raw_events(
+        raw_events, session_id="perf_skip", session_dir=session_dir
+    )
+    elapsed_skip_ms = (time.perf_counter() - t0) * 1000
+    breakdown_skip = _extract_perf_breakdown(caplog)
+
+    speedup = elapsed_full_ms / max(1.0, elapsed_skip_ms)
+    intentions_full = sum(1 for a in actions_full if a.get("intention"))
+    intentions_skip = sum(1 for a in actions_skip if a.get("intention"))
+
+    print(
+        f"\n[PERF] build_replay events={len(raw_events)} "
+        f"actions_full={len(actions_full)} actions_skip={len(actions_skip)} "
+        f"full_ms={elapsed_full_ms:.0f} skip_ms={elapsed_skip_ms:.0f} "
+        f"speedup={speedup:.1f}x "
+        f"intentions_full={intentions_full} intentions_skip={intentions_skip}"
+    )
+
+    # Décomposition par étape (C2b) — utile pour identifier les vraies cibles
+    # d'optimisation post-skip enrichissement.
+    def _format_breakdown(label: str, b: list[tuple[str, float]]) -> str:
+        if not b:
+            return f"  {label}: (aucun span [PERF] capturé)"
+        lines = [f"  {label}:"]
+        for step, ms in b:
+            bar = "█" * max(1, int(ms / 500))  # 1 char par 500ms
+            lines.append(f"    {step:40s} {ms:>7.0f} ms  {bar}")
+        return "\n".join(lines)
+
+    print(_format_breakdown("Décomposition FULL", breakdown_full))
+    print(_format_breakdown("Décomposition SKIP", breakdown_skip))
+
+    # Invariants — même nombre d'actions, juste les champs intention en moins
+    assert len(actions_skip) == len(actions_full), (
+        f"Le skip ne doit pas changer le nombre d'actions "
+        f"(full={len(actions_full)}, skip={len(actions_skip)})"
+    )
+
+    # Skip → 0 actions avec intention enrichie
+    assert intentions_skip == 0, (
+        f"Skip enrichment doit produire 0 intention non-vide "
+        f"(observé : {intentions_skip})"
+    )
+
+    # Full → au moins 1 action avec intention (sinon gemma4 a planté ou la
+    # fixture n'a pas d'action eligible). Si 0, c'est anormal et on échoue
+    # bruyamment.
+    assert intentions_full > 0, (
+        f"Full enrichment doit produire au moins 1 intention non-vide "
+        f"sur fixture {FIXTURE.name}. Si 0 → gemma4 indisponible ou fixture "
+        f"non éligible (toutes les actions filtrées avant enrichissement)."
+    )
+
+    # Gain perf minimum : 3x.
+    # Mesure réelle observée (2026-05-25 sur fixture 16 actions, 9 enrichies) :
+    #   full=93.8s, skip=24.1s, speedup=3.9x.
+    # Le mode skip n'est pas instantané (~24s) car d'autres étapes consomment
+    # du temps : extraction crops d'ancrage pour clics visual_mode, consolidation
+    # avec ReplayLearner, normalisation des waits, etc. Seul gemma4 est skippé.
+    # Estimation initiale 215x était basée sur l'hypothèse "gemma4 seul gros
+    # coût" — invalidée par la mesure.
+    assert speedup >= 3.0, (
+        f"Gain insuffisant : {speedup:.1f}x (attendu ≥ 3x). "
+        f"Soit gemma4 cache-hit, soit la fixture n'a pas d'action éligible, "
+        f"soit Ollama indisponible (fallback rapide). full_ms={elapsed_full_ms:.0f}, "
+        f"skip_ms={elapsed_skip_ms:.0f}."
+    )
+
+
+@pytest.mark.performance
+def test_build_replay_skip_alias_works(monkeypatch, raw_events, session_dir):
+    """Vérifie que l'alias RPA_SKIP_ENRICHMENT a le même effet."""
+    from agent_v0.server_v1.stream_processor import build_replay_from_raw_events
+
+    monkeypatch.delenv("RPA_SKIP_INTENTION_ENRICHMENT", raising=False)
+    monkeypatch.setenv("RPA_SKIP_ENRICHMENT", "1")
+    actions = build_replay_from_raw_events(
+        raw_events, session_id="perf_alias", session_dir=session_dir
+    )
+    intentions = sum(1 for a in actions if a.get("intention"))
+
+    print(f"\n[PERF] alias RPA_SKIP_ENRICHMENT actions={len(actions)} intentions={intentions}")
+    assert intentions == 0, (
+        f"L'alias RPA_SKIP_ENRICHMENT doit aussi désactiver l'enrichissement "
+        f"(observé : {intentions} intentions)"
+    )

tests/integration/test_chat_window_templates.py

@@ -65,7 +65,7 @@ def test_tpl_need_confirm_extracts_action_description():
 
 def test_tpl_need_confirm_fallback():
     _, _, title = cw._tpl_need_confirm({})
-    assert "Validation" in title
+    assert "accord" in title
 
 
 def test_tpl_step_result_ok():

tests/integration/test_replay_resume_preserves_original_action.py

@@ -24,15 +24,19 @@ class TestReplayResumePreservesOriginalAction:
             monkeypatch.setattr(api_stream_mod, "API_TOKEN", self._TEST_API_TOKEN)
 
     @pytest.fixture
-    def client(self, monkeypatch):
+    def client(self, monkeypatch, tmp_path):
         from fastapi.testclient import TestClient
         from agent_v0.server_v1 import api_stream
+        from agent_v0.server_v1.agent_registry import AgentRegistry
 
         monkeypatch.setattr(api_stream, "API_TOKEN", self._TEST_API_TOKEN)
 
         saved_states = dict(api_stream._replay_states)
         saved_queues = dict(api_stream._replay_queues)
         saved_retry = dict(api_stream._retry_pending)
+        original_registry = api_stream.agent_registry
+        empty_registry = AgentRegistry(db_path=str(tmp_path / "empty_agents.db"))
+        monkeypatch.setattr(api_stream, "agent_registry", empty_registry)
 
         api_stream._replay_states.clear()
         api_stream._replay_queues.clear()
@@ -47,6 +51,7 @@ class TestReplayResumePreservesOriginalAction:
         api_stream._replay_queues.update(saved_queues)
         api_stream._retry_pending.clear()
         api_stream._retry_pending.update(saved_retry)
+        monkeypatch.setattr(api_stream, "agent_registry", original_registry)
 
     def test_resume_reinjects_full_original_action_from_failed_action(self, client):
         http_client, api_stream, token = client
@@ -144,6 +149,7 @@ class TestReplayResumePreservesOriginalAction:
         next_resp = http_client.get(
             "/api/v1/traces/stream/replay/next",
             params={"session_id": "sess_resume_watchdog", "machine_id": "pc-watchdog"},
+            headers={"Authorization": f"Bearer {token}"},
         )
 
         assert next_resp.status_code == 200

tests/integration/test_replay_session_trim_neutral.py

@@ -104,11 +104,12 @@ def test_replay_session_pipeline_skips_redundant_tab_switch(tmp_path):
 
     # 1) Setup auto reconnaît Notepad et génère ses actions
     assert app_info.get("primary_app") == "Notepad.exe"
+    assert app_info.get("has_neutral_window_title") is True
     setup_actions = _generate_setup_actions(app_info, setup_id_prefix="setup_sess")
     assert setup_actions, "le setup auto doit injecter des actions Notepad"
-    action_ids = {a.get("action_id", "") for a in setup_actions}
-    assert any("click_start" in aid for aid in action_ids)
-    assert any("click_result" in aid for aid in action_ids)
+    setup_steps = [a.get("_setup_step", "") for a in setup_actions]
+    assert "open_run_dialog" in setup_steps
+    assert "ensure_fresh_document" in setup_steps
 
     # 2) Trim : le clic intra-Notepad redondant doit disparaître
     trimmed = _trim_redundant_setup_events(raw_events, app_info)

tests/integration/test_t2a_extract.py

@@ -213,6 +213,24 @@ def test_edge_to_action_extract_text():
     assert a["parameters"]["paragraph"] is True
 
 
+def test_edge_to_action_extract_table_accepts_tesseract_engine_and_variable_name():
+    edge = _FakeEdge(_FakeAction(
+        "extract_table",
+        parameters={
+            "variable_name": "t_extraction_liste",
+            "pattern": r"^25\d{6}$",
+            "engine": "tesseract",
+        },
+    ))
+    actions = _edge_to_normalized_actions(edge, params={})
+    assert len(actions) == 1
+    a = actions[0]
+    assert a["type"] == "extract_table"
+    assert a["parameters"]["output_var"] == "t_extraction_liste"
+    assert a["parameters"]["pattern"] == r"^25\d{6}$"
+    assert a["parameters"]["engine"] == "tesseract"
+
+
 def test_edge_to_action_t2a_decision():
     edge = _FakeEdge(_FakeAction(
         "t2a_decision",

tests/unit/test_agent_chat_cors_lan.py

@@ -0,0 +1,86 @@
+"""Tests de non-régression pour le fix CORS engineio sur le service
+rpa-agent-chat (port 5004).
+
+Avant fix : les origines `http://192.168.1.40:5004` (self loopback) et
+`http://192.168.1.11:5004` (Léa Windows) étaient rejetées par engineio,
+provoquant `is not an accepted origin` dans le journal (24 mai 2026).
+
+Fix : élargissement de `_ALLOWED_ORIGINS` dans agent_chat/app.py l. 83-99,
+plus override possible via `LEA_CORS_ALLOWED_ORIGINS=comma,separated`.
+
+Référence : inbox_codex/2026-05-25_1235_..._enquete-feedbackbus-5004.md
+"""
+from __future__ import annotations
+
+import importlib
+import sys
+from pathlib import Path
+
+import pytest
+
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+@pytest.mark.unit
+def test_lan_self_loopback_origin_allowed():
+    """Le serveur doit accepter sa propre origine `http://192.168.1.40:5004`."""
+    from agent_chat import app
+    assert "http://192.168.1.40:5004" in app._ALLOWED_ORIGINS, (
+        "Origine self loopback 5004 absente — engineio va rejeter les "
+        "connexions SocketIO depuis le serveur lui-même (cf. journal "
+        "2026-05-24 11:00:47)."
+    )
+
+
+@pytest.mark.unit
+def test_lan_lea_windows_origin_allowed():
+    """Le serveur doit accepter l'origine Léa Windows `http://192.168.1.11:5004`."""
+    from agent_chat import app
+    assert "http://192.168.1.11:5004" in app._ALLOWED_ORIGINS, (
+        "Origine Léa Windows 5004 absente — la ChatWindow tkinter ne peut "
+        "pas établir une session SocketIO."
+    )
+
+
+@pytest.mark.unit
+def test_legacy_origins_preserved():
+    """Les origines historiques doivent rester acceptées (pas de régression)."""
+    from agent_chat import app
+    for origin in [
+        "http://localhost:3002",
+        "http://localhost:5002",
+        "https://vwb.labs.laurinebazin.design",
+        "https://lea.labs.laurinebazin.design",
+    ]:
+        assert origin in app._ALLOWED_ORIGINS, f"Origine historique perdue : {origin}"
+
+
+@pytest.mark.unit
+def test_env_override_extends_allowed_origins(monkeypatch):
+    """`LEA_CORS_ALLOWED_ORIGINS=...` étend la liste par défaut."""
+    monkeypatch.setenv(
+        "LEA_CORS_ALLOWED_ORIGINS",
+        "https://demo.client.example,http://10.0.0.5:5004",
+    )
+    # Re-import du module pour relire l'env
+    import agent_chat.app as app_module
+    importlib.reload(app_module)
+    assert "https://demo.client.example" in app_module._ALLOWED_ORIGINS
+    assert "http://10.0.0.5:5004" in app_module._ALLOWED_ORIGINS
+    # Origines par défaut toujours présentes
+    assert "http://192.168.1.40:5004" in app_module._ALLOWED_ORIGINS
+
+
+@pytest.mark.unit
+def test_env_override_empty_keeps_defaults(monkeypatch):
+    """`LEA_CORS_ALLOWED_ORIGINS=''` ne casse rien — défauts conservés."""
+    monkeypatch.setenv("LEA_CORS_ALLOWED_ORIGINS", "")
+    import agent_chat.app as app_module
+    importlib.reload(app_module)
+    assert "http://192.168.1.40:5004" in app_module._ALLOWED_ORIGINS
+    assert len(app_module._ALLOWED_ORIGINS) >= 9, (
+        "Liste tronquée : attendu au moins 9 origines par défaut"
+    )

tests/unit/test_agent_chat_learn_action.py

@@ -0,0 +1,526 @@
+"""Tests unit pour agent_chat.handlers.learn_action.
+
+Couvre :
+- LearnIntentParser (regex)
+- OptionCFormatter
+- StateStore (write atomique + reprise)
+- LearnActionOrchestrator (transitions, garde-fous, persistance)
+- PersistPayloadBuilder
+"""
+
+from __future__ import annotations
+
+import json
+import os
+from pathlib import Path
+from typing import Any, Dict, List
+from unittest.mock import MagicMock
+
+import pytest
+
+from agent_chat.handlers.learn_action import (
+    LearnActionOrchestrator,
+    LearnIntent,
+    LearnIntentParser,
+    LearnState,
+    OptionCFormatter,
+    PersistPayloadBuilder,
+    SessionState,
+    StateStore,
+)
+
+
+# ============================================================
+# LearnIntentParser
+# ============================================================
+class TestLearnIntentParser:
+    def setup_method(self):
+        # Désactive le LLM fallback pour isoler les tests regex
+        self.parser = LearnIntentParser(use_llm_fallback=False)
+
+    @pytest.mark.parametrize(
+        "msg",
+        [
+            "apprends-moi",
+            "Apprends moi",
+            "regarde-moi faire",
+            "observe",
+            "enregistre",
+            "on apprend",
+            "tu vas apprendre",
+            "Léa apprends",
+        ],
+    )
+    def test_start_observe(self, msg):
+        r = self.parser.parse(msg, current_state=LearnState.IDLE)
+        assert r.intent == LearnIntent.START_OBSERVE
+        assert r.confidence >= 0.9
+
+    @pytest.mark.parametrize(
+        "msg",
+        [
+            "stop",
+            "c'est bon",
+            "j'ai fini",
+            "voilà c'est tout",
+            "fini",
+            "arrête",
+            "termine",
+        ],
+    )
+    def test_user_stop_observe(self, msg):
+        r = self.parser.parse(msg, current_state=LearnState.WAITING_USER_STOP)
+        assert r.intent == LearnIntent.USER_STOP_OBSERVE
+
+    def test_correct_step_with_index(self):
+        r = self.parser.parse(
+            "Corrige l'étape 3 : il faut cliquer sur Valider",
+            current_state=LearnState.ITERATING_FEEDBACK,
+        )
+        assert r.intent == LearnIntent.CORRECT_STEP
+        assert r.step_index == 3
+        assert "valider" in (r.extra.get("new_intent") or "").lower()
+
+    def test_undo_step(self):
+        r = self.parser.parse(
+            "Retire l'étape 2", current_state=LearnState.ITERATING_FEEDBACK
+        )
+        assert r.intent == LearnIntent.UNDO_STEP
+        assert r.step_index == 2
+
+    def test_merge_next(self):
+        r = self.parser.parse(
+            "Fusionne avec la suivante", current_state=LearnState.ITERATING_FEEDBACK
+        )
+        assert r.intent == LearnIntent.MERGE_NEXT
+
+    def test_split_step(self):
+        r = self.parser.parse(
+            "Coupe l'étape 4", current_state=LearnState.ITERATING_FEEDBACK
+        )
+        assert r.intent == LearnIntent.SPLIT_STEP
+        assert r.step_index == 4
+
+    def test_cancel(self):
+        r = self.parser.parse("annule tout", current_state=LearnState.LISTENING)
+        assert r.intent == LearnIntent.CANCEL
+
+    def test_validate_in_iterating(self):
+        r = self.parser.parse(
+            "c'est parfait", current_state=LearnState.ITERATING_FEEDBACK
+        )
+        assert r.intent == LearnIntent.VALIDATE_STEP
+
+    def test_mark_parameter_variable(self):
+        r = self.parser.parse(
+            "ça change à chaque fois", current_state=LearnState.NAMING
+        )
+        assert r.intent == LearnIntent.MARK_PARAMETER
+        assert r.extra.get("is_parameter") is True
+
+    def test_mark_parameter_constant(self):
+        r = self.parser.parse(
+            "toujours pareil", current_state=LearnState.NAMING
+        )
+        assert r.intent == LearnIntent.MARK_PARAMETER
+        assert r.extra.get("is_parameter") is False
+
+    def test_name_competence_when_naming(self):
+        r = self.parser.parse(
+            "facturation urgences", current_state=LearnState.NAMING
+        )
+        assert r.intent == LearnIntent.NAME_COMPETENCE
+        assert "facturation" in (r.extra.get("name") or "")
+
+    def test_unknown_in_idle(self):
+        r = self.parser.parse(
+            "blabla random", current_state=LearnState.IDLE
+        )
+        assert r.intent == LearnIntent.UNKNOWN
+
+    def test_llm_fallback_disabled_after_failure(self, monkeypatch):
+        # Active le LLM mais simule une erreur réseau
+        parser = LearnIntentParser(use_llm_fallback=True)
+        # Force exception sur httpx
+        parser._parse_llm = lambda *args, **kwargs: None  # type: ignore[method-assign]
+        r = parser.parse("zorglub blabla truc", current_state=LearnState.IDLE)
+        # Doit retomber gracieusement sur UNKNOWN sans crasher
+        assert r.intent == LearnIntent.UNKNOWN
+
+
+# ============================================================
+# OptionCFormatter
+# ============================================================
+class TestOptionCFormatter:
+    def setup_method(self):
+        self.fmt = OptionCFormatter()
+
+    def test_empty(self):
+        assert "aucune étape" in self.fmt.format([])
+
+    def test_simple_click(self):
+        understanding = [
+            {"action_type": "click", "target_label": "Valider", "widget_type": "Bouton"}
+        ]
+        out = self.fmt.format(understanding)
+        assert "1." in out
+        assert "« Valider »" in out
+        assert "cliqué" in out
+
+    def test_type_with_value(self):
+        understanding = [
+            {
+                "action_type": "type",
+                "target_label": "IPP",
+                "widget_type": "Champ",
+                "value": "25003284",
+            }
+        ]
+        out = self.fmt.format(understanding)
+        assert "« IPP »" in out
+        assert "« 25003284 »" in out
+        assert "saisi" in out
+
+    def test_low_confidence_suffix(self):
+        understanding = [
+            {
+                "action_type": "click",
+                "target_label": "Patient",
+                "widget_type": "Fenêtre",
+                "confidence_ocr": 0.4,
+            }
+        ]
+        out = self.fmt.format(understanding)
+        assert "(à confirmer)" in out
+
+    def test_unknown_action_fallback(self):
+        understanding = [{"action_type": "wibble", "target_label": "X"}]
+        out = self.fmt.format(understanding)
+        assert "effectuée" in out
+
+    def test_closing_question(self):
+        q = self.fmt.closing_question()
+        assert "trompée" in q or "trompee" in q.lower().replace("é", "e")
+
+
+# ============================================================
+# StateStore
+# ============================================================
+class TestStateStore:
+    def test_save_and_load(self, tmp_path):
+        store = StateStore(tmp_path)
+        st = SessionState(
+            session_id="abc123",
+            user_id="dom",
+            state=LearnState.ITERATING_FEEDBACK,
+        )
+        store.save(st)
+        loaded = store.load("abc123")
+        assert loaded is not None
+        assert loaded.session_id == "abc123"
+        assert loaded.user_id == "dom"
+        assert loaded.state == LearnState.ITERATING_FEEDBACK
+
+    def test_atomic_write_no_partial(self, tmp_path):
+        store = StateStore(tmp_path)
+        st = SessionState(session_id="atomic1")
+        store.save(st)
+        # Pas de fichier .tmp restant
+        tmp_files = list(tmp_path.glob("*.tmp"))
+        assert tmp_files == []
+
+    def test_list_active_filters_done(self, tmp_path):
+        store = StateStore(tmp_path)
+        store.save(SessionState(session_id="s1", state=LearnState.ITERATING_FEEDBACK))
+        store.save(SessionState(session_id="s2", state=LearnState.DONE))
+        store.save(SessionState(session_id="s3", state=LearnState.ABORTED))
+        active = store.list_active()
+        ids = {s.session_id for s in active}
+        assert ids == {"s1"}
+
+    def test_session_id_sanitized(self, tmp_path):
+        store = StateStore(tmp_path)
+        st = SessionState(session_id="../../etc/passwd")
+        store.save(st)
+        # Aucun fichier hors tmp_path
+        files = list(tmp_path.glob("*.json"))
+        assert len(files) == 1
+        assert files[0].parent == tmp_path
+
+    def test_delete(self, tmp_path):
+        store = StateStore(tmp_path)
+        store.save(SessionState(session_id="del_me"))
+        store.delete("del_me")
+        assert store.load("del_me") is None
+
+
+# ============================================================
+# PersistPayloadBuilder
+# ============================================================
+class TestPersistPayloadBuilder:
+    def test_build_with_parameters(self):
+        st = SessionState(
+            session_id="sX",
+            competence_name="Test compétence",
+            user_id="dom",
+            parameters_marked=[
+                {
+                    "step_index": 3,
+                    "is_parameter": True,
+                    "name": "ipp",
+                    "example_value": "25003284",
+                    "field_label": "IPP",
+                },
+                {
+                    "step_index": 4,
+                    "is_parameter": False,
+                    "name": "type",
+                    "example_value": "C2",
+                    "field_label": "Type",
+                },
+            ],
+        )
+        payload = PersistPayloadBuilder().build(st)
+        assert payload["name"] == "Test compétence"
+        assert payload["session_id"] == "sX"
+        assert payload["user_id"] == "dom"
+        # Seul le param flagué is_parameter=True doit apparaître
+        assert len(payload["parameters"]) == 1
+        assert payload["parameters"][0]["name"] == "ipp"
+
+    def test_persist_payload_includes_machine_id(self):
+        """Correction #1 — payload doit inclure machine_id."""
+        st = SessionState(
+            session_id="sM",
+            competence_name="X",
+            machine_id="DESKTOP-58D5CAC_windows",
+        )
+        payload = PersistPayloadBuilder().build(st)
+        assert "machine_id" in payload
+        assert payload["machine_id"] == "DESKTOP-58D5CAC_windows"
+
+    def test_persist_payload_machine_id_none_when_absent(self):
+        """Quand non fourni, machine_id reste présent à None dans le payload."""
+        st = SessionState(session_id="sM2", competence_name="X")
+        payload = PersistPayloadBuilder().build(st)
+        assert "machine_id" in payload
+        assert payload["machine_id"] is None
+
+
+# ============================================================
+# LearnActionOrchestrator (avec StreamingClient mocké)
+# ============================================================
+@pytest.fixture
+def mock_streaming():
+    """StreamingClient simulé."""
+    m = MagicMock()
+    m.shadow_start.return_value = {"ok": True}
+    m.shadow_stop.return_value = {"ok": True}
+    m.shadow_understanding.return_value = {
+        "understanding": [
+            {"action_type": "click", "target_label": "Patient", "widget_type": "Fenêtre"},
+            {
+                "action_type": "type",
+                "target_label": "IPP",
+                "widget_type": "Champ",
+                "value": "25003284",
+            },
+        ]
+    }
+    m.shadow_feedback.return_value = {"ok": True}
+    m.shadow_build.return_value = {"ok": True}
+    m.competence_persist.return_value = {"slug": "facturation_urgences"}
+    return m
+
+
+@pytest.fixture
+def orchestrator(tmp_path, mock_streaming):
+    parser = LearnIntentParser(use_llm_fallback=False)
+    store = StateStore(tmp_path)
+    return LearnActionOrchestrator(
+        streaming_client=mock_streaming,
+        intent_parser=parser,
+        state_store=store,
+        emit=MagicMock(),
+    )
+
+
+class TestLearnActionOrchestrator:
+    def test_start_session_transitions(self, orchestrator, mock_streaming):
+        st, reply = orchestrator.start_session(user_id="dom", trigger_source="button")
+        assert st.state == LearnState.WAITING_USER_STOP
+        mock_streaming.shadow_start.assert_called_once()
+        assert "je te regarde" in reply.lower() or "regarde" in reply.lower()
+
+    def test_full_happy_path(self, orchestrator, mock_streaming):
+        st, _ = orchestrator.start_session(user_id="dom", machine_id="m1")
+        sid = st.session_id
+
+        # Utilisateur dit stop
+        reply = orchestrator.handle_chat_message(sid, "c'est bon")
+        assert reply is not None
+        assert "j'ai compris" in reply.lower()
+        assert orchestrator._sessions[sid].state == LearnState.ITERATING_FEEDBACK
+
+        # Utilisateur valide globalement → NAMING
+        reply = orchestrator.handle_chat_message(sid, "c'est parfait")
+        assert orchestrator._sessions[sid].state == LearnState.NAMING
+
+        # Nomination
+        reply = orchestrator.handle_chat_message(sid, "facturation urgences")
+        # Maintenant Léa doit poser une question sur le paramètre IPP
+        assert "25003284" in (reply or "")
+        assert orchestrator._sessions[sid].competence_name == "facturation urgences"
+
+        # Marquer le paramètre comme variable
+        reply = orchestrator.handle_chat_message(sid, "ça change à chaque fois")
+        # Plus de pending → persist
+        mock_streaming.shadow_build.assert_called_once()
+        mock_streaming.competence_persist.assert_called_once()
+        assert orchestrator._sessions[sid].state == LearnState.DONE
+
+    def test_emergency_exit_after_3_corrections(self, orchestrator, mock_streaming):
+        st, _ = orchestrator.start_session(user_id="dom")
+        sid = st.session_id
+        orchestrator.handle_chat_message(sid, "c'est bon")  # stop
+
+        for i in range(3):
+            r = orchestrator.handle_chat_message(
+                sid, "corrige l'étape 3 : clique sur Valider"
+            )
+            assert orchestrator._sessions[sid].state == LearnState.ITERATING_FEEDBACK
+
+        # 4e correction → ABORTED
+        r = orchestrator.handle_chat_message(
+            sid, "corrige l'étape 3 : clique sur Valider"
+        )
+        assert orchestrator._sessions[sid].state == LearnState.ABORTED
+        assert "n°3" in (r or "")
+
+    def test_cancel_anywhere(self, orchestrator, mock_streaming):
+        st, _ = orchestrator.start_session(user_id="dom")
+        sid = st.session_id
+        reply = orchestrator.handle_chat_message(sid, "annule tout")
+        assert orchestrator._sessions[sid].state == LearnState.ABORTED
+        assert "annule" in (reply or "").lower()
+
+    def test_idle_message_returns_none(self, orchestrator):
+        # Aucune session ouverte → None (laisser le flux normal gérer)
+        r = orchestrator.handle_chat_message("nonexistent", "Bonjour")
+        assert r is None
+
+    def test_state_persistence_across_reload(self, tmp_path, mock_streaming):
+        store = StateStore(tmp_path)
+        parser = LearnIntentParser(use_llm_fallback=False)
+        orch1 = LearnActionOrchestrator(
+            streaming_client=mock_streaming,
+            intent_parser=parser,
+            state_store=store,
+            emit=MagicMock(),
+        )
+        st, _ = orch1.start_session(user_id="dom")
+        sid = st.session_id
+        orch1.handle_chat_message(sid, "c'est bon")  # passe en ITERATING_FEEDBACK
+
+        # Simule un crash + redémarrage
+        orch2 = LearnActionOrchestrator(
+            streaming_client=mock_streaming,
+            intent_parser=parser,
+            state_store=store,
+            emit=MagicMock(),
+        )
+        resumed = orch2.resume_sessions()
+        assert sid in resumed
+        assert orch2._sessions[sid].state == LearnState.ITERATING_FEEDBACK
+
+    def test_proactive_signal_cooldown(self, orchestrator):
+        r1 = orchestrator.handle_proactive_signal("action_repeat", {})
+        assert r1 is not None
+        # Deuxième signal immédiat → ignoré
+        r2 = orchestrator.handle_proactive_signal("action_repeat", {})
+        assert r2 is None
+
+    def test_illegal_transition_ignored(self, orchestrator, mock_streaming):
+        st, _ = orchestrator.start_session(user_id="dom")
+        # Tentative de passer directement de WAITING_USER_STOP à DONE
+        prev = orchestrator._sessions[st.session_id].state
+        orchestrator._transition(
+            orchestrator._sessions[st.session_id], LearnState.DONE
+        )
+        assert orchestrator._sessions[st.session_id].state == prev
+
+    # ============================================================
+    # Corrections P1-LEA-SHADOW 2026-06-01 (NO-GO Qwen)
+    # ============================================================
+    def test_start_session_stores_machine_id(self, orchestrator):
+        """Correction #1 — machine_id transmis à start_session est stocké."""
+        st, _ = orchestrator.start_session(
+            user_id="dom",
+            trigger_source="windows_button",
+            machine_id="DESKTOP-58D5CAC_windows",
+        )
+        assert st.machine_id == "DESKTOP-58D5CAC_windows"
+        # Et la session en mémoire aussi
+        assert (
+            orchestrator._sessions[st.session_id].machine_id
+            == "DESKTOP-58D5CAC_windows"
+        )
+
+    def test_persist_blocked_without_machine_id(self, orchestrator, mock_streaming):
+        """Correction #1 — persist refusé conversationnellement sans machine_id."""
+        st, _ = orchestrator.start_session(user_id="dom")  # pas de machine_id
+        sid = st.session_id
+        orchestrator.handle_chat_message(sid, "c'est bon")  # → ITERATING
+        orchestrator.handle_chat_message(sid, "c'est parfait")  # → NAMING
+        orchestrator.handle_chat_message(sid, "ma competence")  # nom
+        # Marquer paramètre → tentative persist
+        reply = orchestrator.handle_chat_message(sid, "ça change à chaque fois")
+        # competence_persist NE doit PAS avoir été appelée
+        mock_streaming.competence_persist.assert_not_called()
+        # Message métier explicite côté Léa
+        assert reply is not None
+        assert "machine" in reply.lower()
+
+    def test_datetime_uses_timezone_aware(self):
+        """Correction #2 — created_at / last_transition_at sont timezone-aware."""
+        st = SessionState(session_id="tz1")
+        # Le format ISO doit contenir un offset (+00:00 ou Z) — tzinfo présent
+        # après reparse via fromisoformat (Python 3.11+).
+        from datetime import datetime as _dt
+        parsed_created = _dt.fromisoformat(st.created_at)
+        parsed_transition = _dt.fromisoformat(st.last_transition_at)
+        assert parsed_created.tzinfo is not None
+        assert parsed_transition.tzinfo is not None
+        # Sanity check : c'est bien UTC.
+        assert "+00:00" in st.created_at or st.created_at.endswith("Z")
+
+    def test_confirm_blocked_when_name_missing(self, orchestrator, mock_streaming):
+        """Correction #3 — CONFIRM en NAMING avec competence_name=None reste NAMING."""
+        st, _ = orchestrator.start_session(
+            user_id="dom", machine_id="machine_x"
+        )
+        sid = st.session_id
+        orchestrator.handle_chat_message(sid, "c'est bon")
+        orchestrator.handle_chat_message(sid, "c'est parfait")  # → NAMING
+        # Forcer competence_name à None et envoyer un CONFIRM
+        orchestrator._sessions[sid].competence_name = None
+        reply = orchestrator.handle_chat_message(sid, "ok")  # CONFIRM
+        assert orchestrator._sessions[sid].state == LearnState.NAMING
+        assert reply is not None
+        assert "nom" in reply.lower() or "appeler" in reply.lower()
+        mock_streaming.competence_persist.assert_not_called()
+
+    def test_confirm_blocked_when_name_empty(self, orchestrator, mock_streaming):
+        """Correction #3 — CONFIRM en NAMING avec competence_name='' reste NAMING."""
+        st, _ = orchestrator.start_session(
+            user_id="dom", machine_id="machine_x"
+        )
+        sid = st.session_id
+        orchestrator.handle_chat_message(sid, "c'est bon")
+        orchestrator.handle_chat_message(sid, "c'est parfait")  # → NAMING
+        orchestrator._sessions[sid].competence_name = "   "  # vide après strip
+        reply = orchestrator.handle_chat_message(sid, "ok")
+        assert orchestrator._sessions[sid].state == LearnState.NAMING
+        assert reply is not None
+        assert "nom" in reply.lower() or "appeler" in reply.lower()
+        mock_streaming.competence_persist.assert_not_called()

tests/unit/test_autonomous_planner_owl_flag.py

@@ -0,0 +1,121 @@
+"""Tests pour le feature flag AGENT_CHAT_ENABLE_OWL (C1b).
+
+Contexte : depuis 2026-05-25, OWL-v2 ne se charge plus au boot du service
+rpa-agent-chat par défaut (économie ~600 MiB VRAM constatée par Codex après
+restart C1). Activation via AGENT_CHAT_ENABLE_OWL=1.
+
+Référence : inbox_claude/2026-05-25_1327_codex-to-claude_C1-post-restart-ok-c1b-vram.md
+Fix : agent_chat/autonomous_planner.py _init_visual_detection() l. 139-...
+"""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+import pytest
+
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+@pytest.mark.unit
+def test_owl_skipped_by_default(monkeypatch):
+    """Sans AGENT_CHAT_ENABLE_OWL, OWL ne doit PAS se charger au boot."""
+    monkeypatch.delenv("AGENT_CHAT_ENABLE_OWL", raising=False)
+    from agent_chat.autonomous_planner import AutonomousPlanner
+
+    planner = AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert planner._owl_detector is None, (
+        f"OWL chargé alors que flag OFF (économie VRAM perdue) : "
+        f"{planner._owl_detector}"
+    )
+
+
+@pytest.mark.unit
+def test_owl_skipped_when_flag_zero(monkeypatch):
+    """AGENT_CHAT_ENABLE_OWL=0 → OWL skip."""
+    monkeypatch.setenv("AGENT_CHAT_ENABLE_OWL", "0")
+    from agent_chat.autonomous_planner import AutonomousPlanner
+
+    planner = AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert planner._owl_detector is None
+
+
+@pytest.mark.unit
+def test_owl_skipped_when_flag_false(monkeypatch):
+    """AGENT_CHAT_ENABLE_OWL=false → OWL skip (alias accepté)."""
+    monkeypatch.setenv("AGENT_CHAT_ENABLE_OWL", "false")
+    from agent_chat.autonomous_planner import AutonomousPlanner
+
+    planner = AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert planner._owl_detector is None
+
+
+@pytest.mark.unit
+def test_owl_init_attempted_when_flag_one(monkeypatch):
+    """AGENT_CHAT_ENABLE_OWL=1 → tentative d'init (succès ou échec rattrapé).
+
+    Le test ne valide PAS que OWL charge effectivement (dépend GPU + modèle
+    HF disponible), juste que le code passe la garde du flag et tente l'init.
+    On mocke OwlDetector pour vérifier qu'il est instancié.
+    """
+    monkeypatch.setenv("AGENT_CHAT_ENABLE_OWL", "1")
+    from agent_chat import autonomous_planner as ap_module
+
+    calls = []
+
+    class FakeOwl:
+        def __init__(self, **kwargs):
+            calls.append(kwargs)
+
+    monkeypatch.setattr(ap_module, "OwlDetector", FakeOwl)
+    monkeypatch.setattr(ap_module, "VISUAL_DETECTION_AVAILABLE", True)
+
+    planner = ap_module.AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert planner._owl_detector is not None, (
+        "OWL doit être instancié quand AGENT_CHAT_ENABLE_OWL=1"
+    )
+    assert len(calls) == 1
+    assert calls[0].get("confidence_threshold") == 0.1
+
+
+@pytest.mark.unit
+def test_owl_device_override(monkeypatch):
+    """AGENT_CHAT_OWL_DEVICE=cpu force le device CPU même si CUDA dispo."""
+    monkeypatch.setenv("AGENT_CHAT_ENABLE_OWL", "1")
+    monkeypatch.setenv("AGENT_CHAT_OWL_DEVICE", "cpu")
+    from agent_chat import autonomous_planner as ap_module
+
+    calls = []
+
+    class FakeOwl:
+        def __init__(self, **kwargs):
+            calls.append(kwargs)
+
+    monkeypatch.setattr(ap_module, "OwlDetector", FakeOwl)
+    monkeypatch.setattr(ap_module, "VISUAL_DETECTION_AVAILABLE", True)
+
+    ap_module.AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert calls[0].get("device") == "cpu"
+
+
+@pytest.mark.unit
+def test_owl_init_exception_caught(monkeypatch):
+    """Si OWL crash à l'init (OOM CUDA, modèle absent, etc.), AutonomousPlanner
+    doit continuer à booter avec _owl_detector=None."""
+    monkeypatch.setenv("AGENT_CHAT_ENABLE_OWL", "1")
+    from agent_chat import autonomous_planner as ap_module
+
+    class CrashOwl:
+        def __init__(self, **kwargs):
+            raise RuntimeError("CUDA out of memory (simulation)")
+
+    monkeypatch.setattr(ap_module, "OwlDetector", CrashOwl)
+    monkeypatch.setattr(ap_module, "VISUAL_DETECTION_AVAILABLE", True)
+
+    planner = ap_module.AutonomousPlanner(llm_model="qwen2.5:7b")
+    assert planner._owl_detector is None, (
+        "L'exception doit être catchée — AutonomousPlanner ne doit pas crash"
+    )

tests/unit/test_chat_window_paused_dispatch.py

@@ -120,7 +120,7 @@ class TestDispatchPausedAction:
 
 
 class TestPausedBubbleHeight:
-    """Couvre _compute_paused_bubble_height — patch troncature 22 mai 2026."""
+    """Couvre _compute_paused_bubble_height — anti-troncature pause UI."""
 
     def test_empty_message_uses_minimum_height(self):
         h, scroll = ChatWindow._compute_paused_bubble_height("")
@@ -133,10 +133,27 @@ class TestPausedBubbleHeight:
         assert scroll is False
 
     def test_long_single_line_triggers_scrollbar(self):
-        # ~600 chars sans \n → wrapped_lines = 600 // 60 + 1 = 11
         msg = "x" * 600
         h, scroll = ChatWindow._compute_paused_bubble_height(msg)
-        assert h == 11
+        assert h == 12
+        assert scroll is True
+
+    def test_narrow_window_estimate_keeps_wrong_window_message_visible(self):
+        """Cas observé sur Windows : fenêtre Léa ~380px, message wrong_window
+        coupé après "attendu". Avec ~34 caractères par ligne, il faut
+        prévoir assez de lignes pour afficher le détail."""
+        msg = (
+            "Je m'attendais à voir la bonne fenêtre mais je vois autre chose. "
+            "Peux-tu vérifier que l'application est au premier plan ? "
+            "(Fenêtre incorrecte : attendu "
+            "'http192.168.1.408765dossier.htmlid=.txt - Bloc-notes', "
+            "actuel 'Program Manager')"
+        )
+        h, scroll = ChatWindow._compute_paused_bubble_height(
+            msg,
+            chars_per_line=34,
+        )
+        assert h >= 7
         assert scroll is True
 
     def test_message_with_many_newlines_uses_explicit_count(self):
@@ -150,11 +167,11 @@ class TestPausedBubbleHeight:
         assert scroll is False
 
     def test_cap_reached_triggers_scrollbar_even_if_short(self):
-        """Quand on dépasse le cap (12 lignes), la scrollbar DOIT
+        """Quand on dépasse le cap, la scrollbar DOIT
         s'afficher quel que soit la longueur en caractères."""
         msg = "\n".join([f"l{i}" for i in range(20)])
         h, scroll = ChatWindow._compute_paused_bubble_height(msg)
-        assert h == 12  # plafond
+        assert h == 14  # plafond
         assert scroll is True
 
     def test_long_content_triggers_scrollbar_at_200_chars(self):
@@ -163,3 +180,18 @@ class TestPausedBubbleHeight:
         msg = "x" * 220
         h, scroll = ChatWindow._compute_paused_bubble_height(msg)
         assert scroll is True
+
+    def test_dynamic_small_viewport_caps_rows_and_scrolls(self):
+        msg = (
+            "Je m'attendais à voir la bonne fenêtre mais je vois autre chose. "
+            "Peux-tu vérifier que l'application est au premier plan ? "
+            "(Post-vérif échouée : fenêtre '*test – Bloc-notes' au lieu de "
+            "'Enregistrer sous')"
+        )
+        h, scroll = ChatWindow._compute_paused_bubble_height(
+            msg,
+            chars_per_line=32,
+            max_rows=5,
+        )
+        assert h == 5
+        assert scroll is True

tests/unit/test_enrich_click_skip_build_vision.py

@@ -0,0 +1,269 @@
+"""Tests C2d-bis : short-circuit SomEngine + _gemma4_read_element au build.
+
+Niveau A : si vision_info.text non vide → SomEngine pas appelé (faible risque,
+            comportement par défaut depuis 2026-05-25).
+Niveau B : flag RPA_SKIP_BUILD_VISION (ou alias RPA_SKIP_BUILD_VLM) actif →
+            SomEngine + _gemma4_read_element jamais appelés, même si
+            vision_info.text vide.
+
+Référence : inbox_claude/2026-05-25_1700_codex-to-claude_AMEND-C2d-bis-gemini-short-circuit.md
+Découverte C2c : inbox_codex/2026-05-25_1500_claude-to-codex_C2c-analyse-step4-crops.md
+"""
+from __future__ import annotations
+
+import sys
+import tempfile
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+
+ROOT = Path(__file__).resolve().parents[2]
+if str(ROOT) not in sys.path:
+    sys.path.insert(0, str(ROOT))
+
+
+@pytest.fixture
+def fake_screenshot(tmp_path):
+    """Crée un screenshot PNG bidon (1920x1080 gris) pour les tests."""
+    from PIL import Image
+    img = Image.new("RGB", (1920, 1080), color=(128, 128, 128))
+    path = tmp_path / "shots" / "shot_0001_full.png"
+    path.parent.mkdir(parents=True, exist_ok=True)
+    img.save(path, "PNG")
+    return path
+
+
+def _make_session_dir(tmp_path):
+    """Session dir contenant shots/ vide (pour passer le check Path.is_dir)."""
+    session = tmp_path / "session"
+    (session / "shots").mkdir(parents=True, exist_ok=True)
+    return session
+
+
+# ────────────────────────────────────────────────────────────────────────────
+# Niveau A — short-circuit vision_info.text
+# ────────────────────────────────────────────────────────────────────────────
+
+
+@pytest.mark.unit
+def test_niveau_a_vision_info_text_skips_som_and_gemma4(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """vision_info.text non vide → SomEngine et _gemma4_read_element JAMAIS appelés."""
+    monkeypatch.delenv("RPA_SKIP_BUILD_VISION", raising=False)
+    monkeypatch.delenv("RPA_SKIP_BUILD_VLM", raising=False)
+    from agent_v0.server_v1 import stream_processor as sp
+
+    # Mocks : SomEngine et gemma4 ne doivent PAS être appelés
+    som_calls = []
+    gemma_calls = []
+
+    def fake_som(*args, **kwargs):
+        som_calls.append(args)
+        return {"label": "should_not_be_used", "source": "som"}
+
+    def fake_gemma(*args, **kwargs):
+        gemma_calls.append(args)
+        return "should_not_be_used"
+
+    monkeypatch.setattr(sp, "_som_identify_clicked_element", fake_som)
+    monkeypatch.setattr(sp, "_gemma4_read_element", fake_gemma)
+
+    result = sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=500,
+        click_y=300,
+        screen_w=1920,
+        screen_h=1080,
+        window_title="Bloc-notes",
+        vision_info={"text": "Enregistrer", "type": "button"},
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+
+    # Assertions
+    assert len(som_calls) == 0, f"SomEngine appelé alors que vision_info.text présent : {som_calls}"
+    assert len(gemma_calls) == 0, f"_gemma4_read_element appelé : {gemma_calls}"
+    # L'action garde tous les champs critiques
+    assert result["by_text"] == "Enregistrer"
+    assert result["by_text_source"] == "ocr"
+    assert result["by_role"] == "button"
+    assert result["window_title"] == "Bloc-notes"
+    assert result["anchor_image_base64"]  # crop calculé
+    assert result["by_position"] == [round(500 / 1920, 6), round(300 / 1080, 6)]
+
+
+@pytest.mark.unit
+def test_niveau_a_vision_info_text_empty_calls_som(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """vision_info.text vide ET flag absent → SomEngine appelé (comportement legacy)."""
+    monkeypatch.delenv("RPA_SKIP_BUILD_VISION", raising=False)
+    monkeypatch.delenv("RPA_SKIP_BUILD_VLM", raising=False)
+    from agent_v0.server_v1 import stream_processor as sp
+
+    som_calls = []
+    gemma_calls = []
+
+    def fake_som(*args, **kwargs):
+        som_calls.append(args)
+        return {"label": "label_from_som", "source": "som"}
+
+    def fake_gemma(*args, **kwargs):
+        gemma_calls.append(args)
+        return ""  # gemma trouve rien
+
+    monkeypatch.setattr(sp, "_som_identify_clicked_element", fake_som)
+    monkeypatch.setattr(sp, "_gemma4_read_element", fake_gemma)
+
+    result = sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=500,
+        click_y=300,
+        screen_w=1920,
+        screen_h=1080,
+        window_title="App",
+        vision_info={"text": "", "type": ""},  # vide
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+
+    # SomEngine doit être appelé (comportement legacy préservé)
+    assert len(som_calls) == 1
+    # Gemma appelé aussi car SomEngine label utilisé comme element_text → on
+    # n'entre PAS dans le bloc gemma4
+    # (cf. ligne 974-981 : si som_elem.label → element_text = som_elem.label)
+    assert len(gemma_calls) == 0
+    # by_text vient de SomEngine
+    assert result["by_text"] == "label_from_som"
+    assert result["by_text_source"] == "ocr"
+
+
+# ────────────────────────────────────────────────────────────────────────────
+# Niveau B — flag RPA_SKIP_BUILD_VISION
+# ────────────────────────────────────────────────────────────────────────────
+
+
+@pytest.mark.unit
+def test_niveau_b_flag_skip_build_vision_blocks_all(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """RPA_SKIP_BUILD_VISION=true → SomEngine et gemma4 jamais appelés, même
+    si vision_info.text est vide."""
+    monkeypatch.setenv("RPA_SKIP_BUILD_VISION", "true")
+    monkeypatch.delenv("RPA_SKIP_BUILD_VLM", raising=False)
+    from agent_v0.server_v1 import stream_processor as sp
+
+    som_calls = []
+    gemma_calls = []
+    monkeypatch.setattr(sp, "_som_identify_clicked_element",
+                         lambda *a, **kw: som_calls.append(a) or {"label": "X"})
+    monkeypatch.setattr(sp, "_gemma4_read_element",
+                         lambda *a, **kw: gemma_calls.append(a) or "X")
+
+    result = sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=100, click_y=100,
+        screen_w=1920, screen_h=1080,
+        window_title="App",
+        vision_info={"text": "", "type": ""},
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+
+    assert len(som_calls) == 0, f"SomEngine appelé malgré flag actif : {som_calls}"
+    assert len(gemma_calls) == 0, f"gemma4 appelé malgré flag actif : {gemma_calls}"
+    # Action conservée avec canaux fallback
+    assert result["anchor_image_base64"]  # crop préservé
+    assert result["window_title"] == "App"
+    assert result["by_position"]  # position préservée
+    # by_text vide acceptable (le replay tombera sur anchor/position)
+    assert result["by_text"] == ""
+
+
+@pytest.mark.unit
+def test_niveau_b_alias_skip_build_vlm_works(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """Alias RPA_SKIP_BUILD_VLM=true accepté (compat message Codex 1650)."""
+    monkeypatch.delenv("RPA_SKIP_BUILD_VISION", raising=False)
+    monkeypatch.setenv("RPA_SKIP_BUILD_VLM", "true")
+    from agent_v0.server_v1 import stream_processor as sp
+
+    som_calls = []
+    monkeypatch.setattr(sp, "_som_identify_clicked_element",
+                         lambda *a, **kw: som_calls.append(a))
+    monkeypatch.setattr(sp, "_gemma4_read_element",
+                         lambda *a, **kw: "should_not_be_called")
+
+    sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=100, click_y=100,
+        screen_w=1920, screen_h=1080,
+        window_title="App",
+        vision_info={"text": ""},
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+    assert len(som_calls) == 0
+
+
+@pytest.mark.unit
+def test_flag_off_calls_som_when_no_vision_text(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """Flag explicitement OFF + vision_info.text vide → comportement legacy."""
+    monkeypatch.setenv("RPA_SKIP_BUILD_VISION", "0")
+    monkeypatch.delenv("RPA_SKIP_BUILD_VLM", raising=False)
+    from agent_v0.server_v1 import stream_processor as sp
+
+    som_calls = []
+    monkeypatch.setattr(sp, "_som_identify_clicked_element",
+                         lambda *a, **kw: som_calls.append(a) or None)
+    monkeypatch.setattr(sp, "_gemma4_read_element",
+                         lambda *a, **kw: "from_gemma")
+
+    result = sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=100, click_y=100,
+        screen_w=1920, screen_h=1080,
+        window_title="App",
+        vision_info={"text": ""},
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+    assert len(som_calls) == 1, "Flag OFF doit conserver SomEngine"
+    # gemma4 appelé car SomEngine retourne None
+    assert result["by_text"] == "from_gemma"
+    assert result["by_text_source"] == "vlm"
+
+
+@pytest.mark.unit
+def test_niveau_b_priority_over_niveau_a(
+    monkeypatch, fake_screenshot, tmp_path
+):
+    """Flag actif + vision_info.text non vide → log skip_som flag, pas vision_info."""
+    monkeypatch.setenv("RPA_SKIP_BUILD_VISION", "true")
+    from agent_v0.server_v1 import stream_processor as sp
+
+    som_calls = []
+    monkeypatch.setattr(sp, "_som_identify_clicked_element",
+                         lambda *a, **kw: som_calls.append(a))
+    monkeypatch.setattr(sp, "_gemma4_read_element",
+                         lambda *a, **kw: "should_not")
+
+    result = sp.enrich_click_from_screenshot(
+        screenshot_path=fake_screenshot,
+        click_x=100, click_y=100,
+        screen_w=1920, screen_h=1080,
+        window_title="App",
+        vision_info={"text": "Save", "type": "button"},
+        session_dir=_make_session_dir(tmp_path),
+        screenshot_id="shot_0001",
+    )
+    assert len(som_calls) == 0
+    # vision_info.text reste utilisé (priorité ligne 974-981 préservée)
+    assert result["by_text"] == "Save"
+    assert result["by_text_source"] == "ocr"

tests/unit/test_executor_verify_window_guard.py

@@ -15,6 +15,7 @@ On teste deux choses :
 from __future__ import annotations
 
 import sys
+import types
 from pathlib import Path
 from types import SimpleNamespace
 from unittest.mock import patch, MagicMock
@@ -22,6 +23,95 @@ from unittest.mock import patch, MagicMock
 ROOT = Path(__file__).parent.parent.parent
 sys.path.insert(0, str(ROOT))
 
+
+def _install_fake_pynput_if_missing():
+    try:
+        import pynput  # noqa: F401
+        return
+    except ModuleNotFoundError:
+        pass
+
+    class FakeKeyValue:
+        def __init__(self, name):
+            self.name = name
+
+        def __repr__(self):
+            return f"Key.{self.name}"
+
+        def __hash__(self):
+            return hash(("key", self.name))
+
+        def __eq__(self, other):
+            return isinstance(other, FakeKeyValue) and self.name == other.name
+
+    class FakeKey:
+        pass
+
+    for name in (
+        "enter", "tab", "esc", "backspace", "delete", "space",
+        "up", "down", "left", "right", "home", "end",
+        "page_up", "page_down", "f1", "f2", "f3", "f4", "f5", "f6",
+        "f7", "f8", "f9", "f10", "f11", "f12", "ctrl", "ctrl_l",
+        "ctrl_r", "alt", "alt_l", "alt_r", "shift", "shift_l",
+        "shift_r", "cmd", "insert", "print_screen", "caps_lock",
+        "num_lock",
+    ):
+        setattr(FakeKey, name, FakeKeyValue(name))
+
+    class FakeKeyCode:
+        def __init__(self, char=None, vk=None):
+            self.char = char
+            self.vk = vk
+
+        @classmethod
+        def from_char(cls, char):
+            return cls(char=char)
+
+        @classmethod
+        def from_vk(cls, vk):
+            return cls(vk=vk)
+
+        def __hash__(self):
+            return hash(("keycode", self.char, self.vk))
+
+        def __eq__(self, other):
+            return (
+                isinstance(other, FakeKeyCode)
+                and self.char == other.char
+                and self.vk == other.vk
+            )
+
+    class FakeController:
+        def press(self, *_args, **_kwargs):
+            return None
+
+        def release(self, *_args, **_kwargs):
+            return None
+
+        def click(self, *_args, **_kwargs):
+            return None
+
+    class FakeButton:
+        left = "left"
+        right = "right"
+
+    pynput = types.ModuleType("pynput")
+    mouse = types.ModuleType("pynput.mouse")
+    keyboard = types.ModuleType("pynput.keyboard")
+    mouse.Button = FakeButton
+    mouse.Controller = FakeController
+    keyboard.Controller = FakeController
+    keyboard.Key = FakeKey
+    keyboard.KeyCode = FakeKeyCode
+    pynput.mouse = mouse
+    pynput.keyboard = keyboard
+    sys.modules["pynput"] = pynput
+    sys.modules["pynput.mouse"] = mouse
+    sys.modules["pynput.keyboard"] = keyboard
+
+
+_install_fake_pynput_if_missing()
+
 from agent_v0.agent_v1.core.executor import ActionExecutorV1  # noqa: E402
 
 
@@ -184,6 +274,44 @@ class TestPostVerifyWindowTransition:
             expected_after="test – Bloc-notes",
         )
 
+    def test_enrich_target_context_marks_transition_and_generic_button(self):
+        spec = ActionExecutorV1._enrich_target_context_from_action(
+            {
+                "expected_window_before": "*test – Bloc-notes",
+                "expected_window_title": "Enregistrer sous",
+            },
+            {
+                "by_text": "Enregistrer",
+                "by_role": "button",
+                "window_title": "*test – Bloc-notes",
+            },
+        )
+
+        hints = spec["context_hints"]
+        assert hints["requires_window_transition"] is True
+        assert hints["expected_window_before"] == "*test – Bloc-notes"
+        assert hints["expected_window_after"] == "Enregistrer sous"
+        assert hints["generic_button_text"] == "Enregistrer"
+        assert hints["button_expected_after_window"] == "Enregistrer sous"
+
+    def test_enrich_target_context_keeps_same_window_non_transition(self):
+        spec = ActionExecutorV1._enrich_target_context_from_action(
+            {
+                "expected_window_before": "*test – Bloc-notes",
+                "expected_window_title": "test – Bloc-notes",
+            },
+            {
+                "by_text": "test",
+                "by_role": "tab",
+                "window_title": "*test – Bloc-notes",
+            },
+        )
+
+        hints = spec["context_hints"]
+        assert hints["expected_window_before"] == "*test – Bloc-notes"
+        assert hints["expected_window_after"] == "test – Bloc-notes"
+        assert "requires_window_transition" not in hints
+
 
 # =========================================================================
 # Routage de la garde dans verify_screen

tests/unit/test_grounding_engine.py

@@ -44,3 +44,80 @@ def test_template_strategy_passes_fallback_coords_to_anchor_drift_guard():
         fallback_x_pct=0.708594,
         fallback_y_pct=0.35,
     )
+
+
+def test_server_explicit_reject_skips_local_text_fallback():
+    executor = MagicMock()
+    executor._server_resolve_target = MagicMock(
+        return_value={
+            "resolved": False,
+            "method": "rejected_close_tab_zone_hybrid_text_direct",
+            "reason": "close_tab_out_of_recorded_zone",
+            "score": 0.8,
+        }
+    )
+    executor._hybrid_vlm_resolve = MagicMock(
+        return_value={
+            "resolved": True,
+            "x_pct": 0.1,
+            "y_pct": 0.13,
+            "method": "hybrid_text_direct",
+            "score": 0.9,
+        }
+    )
+
+    engine = GroundingEngine(executor)
+    engine._capture_window_or_screen = MagicMock(return_value="shot")
+
+    result = engine.locate(
+        "http://server",
+        {
+            "by_text": "test",
+            "context_hints": {"interaction": "close_tab"},
+            "screen_scope": "full_screen",
+        },
+        fallback_x=0.7,
+        fallback_y=0.04,
+        screen_width=2560,
+        screen_height=1600,
+    )
+
+    assert result.found is False
+    executor._hybrid_vlm_resolve.assert_not_called()
+
+
+def test_server_plain_not_found_allows_local_text_fallback():
+    executor = MagicMock()
+    executor._server_resolve_target = MagicMock(
+        return_value={
+            "resolved": False,
+            "method": "server_no_match",
+            "reason": "not_found",
+            "score": 0.0,
+        }
+    )
+    executor._hybrid_vlm_resolve = MagicMock(
+        return_value={
+            "resolved": True,
+            "x_pct": 0.45,
+            "y_pct": 0.5,
+            "method": "hybrid_text_direct",
+            "score": 0.9,
+        }
+    )
+
+    engine = GroundingEngine(executor)
+    engine._capture_window_or_screen = MagicMock(return_value="shot")
+
+    result = engine.locate(
+        "http://server",
+        {"by_text": "Enregistrer", "screen_scope": "full_screen"},
+        fallback_x=0.5,
+        fallback_y=0.5,
+        screen_width=1920,
+        screen_height=1080,
+    )
+
+    assert result.found is True
+    assert result.method == "hybrid_text_direct"
+    executor._hybrid_vlm_resolve.assert_called_once()

tests/unit/test_keyboard_system_keys.py

@@ -0,0 +1,162 @@
+import importlib
+import sys
+import types
+
+
+def _install_fake_pynput(monkeypatch):
+    class FakeKey:
+        def __init__(self, name):
+            self.name = name
+
+        def __repr__(self):
+            return f"Key.{self.name}"
+
+    for name in (
+        "ctrl",
+        "ctrl_l",
+        "ctrl_r",
+        "alt",
+        "alt_l",
+        "alt_r",
+        "shift",
+        "shift_l",
+        "shift_r",
+        "cmd",
+        "cmd_l",
+        "cmd_r",
+        "esc",
+        "enter",
+        "tab",
+        "space",
+        "backspace",
+    ):
+        setattr(FakeKey, name, FakeKey(name))
+
+    class FakeKeyCode:
+        def __init__(self, char=None, vk=None):
+            self.char = char
+            self.vk = vk
+
+    pynput = types.ModuleType("pynput")
+    mouse = types.ModuleType("pynput.mouse")
+    keyboard = types.ModuleType("pynput.keyboard")
+
+    class FakeButton:
+        pass
+
+    mouse.Button = FakeButton
+    mouse.Listener = object
+    keyboard.Key = FakeKey
+    keyboard.KeyCode = FakeKeyCode
+    keyboard.Listener = object
+    pynput.mouse = mouse
+    pynput.keyboard = keyboard
+
+    monkeypatch.setitem(sys.modules, "pynput", pynput)
+    monkeypatch.setitem(sys.modules, "pynput.mouse", mouse)
+    monkeypatch.setitem(sys.modules, "pynput.keyboard", keyboard)
+    sys.modules.pop("agent_v0.agent_v1.core.captor", None)
+    return FakeKey, FakeKeyCode
+
+
+def _load_captor(monkeypatch):
+    fake_key, fake_key_code = _install_fake_pynput(monkeypatch)
+    module = importlib.import_module("agent_v0.agent_v1.core.captor")
+    return module, fake_key, fake_key_code
+
+
+def test_standalone_windows_key_is_emitted_on_release(monkeypatch):
+    captor_module, key, _key_code = _load_captor(monkeypatch)
+    events = []
+    captor = captor_module.EventCaptorV1(events.append)
+    captor._inject_screen_metadata = lambda _event: None
+
+    captor._on_press(key.cmd)
+    assert events == []
+
+    captor._on_release(key.cmd)
+
+    assert [event["keys"] for event in events] == [["win"]]
+    assert [raw["action"] for raw in events[0]["raw_keys"]] == ["press", "release"]
+    assert "win" not in captor.modifiers
+
+
+def test_windows_shortcut_cancels_standalone_windows_key(monkeypatch):
+    captor_module, key, key_code = _load_captor(monkeypatch)
+    events = []
+    captor = captor_module.EventCaptorV1(events.append)
+    captor._inject_screen_metadata = lambda _event: None
+
+    captor._on_press(key.cmd)
+    captor._on_press(key_code(char="s", vk=83))
+    captor._on_release(key_code(char="s", vk=83))
+    captor._on_release(key.cmd)
+
+    assert [event["keys"] for event in events] == [["win", "s"]]
+
+
+def test_release_only_windows_shortcut_is_inferred(monkeypatch):
+    captor_module, key, key_code = _load_captor(monkeypatch)
+    events = []
+    captor = captor_module.EventCaptorV1(events.append)
+    captor._inject_screen_metadata = lambda _event: None
+
+    # Windows/NoMachine can swallow press events for Win+S and only deliver
+    # release('s') then release('cmd').
+    captor._on_release(key_code(char="s", vk=83))
+    captor._on_release(key.cmd)
+
+    assert [event["keys"] for event in events] == [["win", "s"]]
+    assert [raw["action"] for raw in events[0]["raw_keys"]] == ["release", "release"]
+
+
+def test_escape_key_is_emitted_as_key_combo(monkeypatch):
+    captor_module, key, _key_code = _load_captor(monkeypatch)
+    events = []
+    captor = captor_module.EventCaptorV1(events.append)
+    captor._inject_screen_metadata = lambda _event: None
+
+    captor._on_press(key.esc)
+
+    assert [event["keys"] for event in events] == [["escape"]]
+
+
+def test_stream_processor_keeps_win_but_filters_other_modifiers():
+    from agent_v0.server_v1.stream_processor import (
+        _is_parasitic_event,
+        _needs_post_wait,
+        clean_compound_steps,
+        clean_enriched_actions,
+    )
+
+    assert _is_parasitic_event({"type": "key_combo", "keys": ["ctrl"]}) is True
+    assert _is_parasitic_event({"type": "key_combo", "keys": ["win"]}) is False
+
+    assert clean_enriched_actions(
+        [
+            {"type": "key_combo", "keys": ["ctrl"]},
+            {"type": "key_combo", "keys": ["win"]},
+        ]
+    ) == [{"type": "key_combo", "keys": ["win"]}]
+
+    assert clean_compound_steps(
+        [
+            {"type": "key_combo", "keys": ["shift"]},
+            {"type": "key_combo", "keys": ["win"]},
+        ]
+    ) == [{"type": "key_combo", "keys": ["win"]}]
+
+    assert _needs_post_wait({"type": "key_combo", "keys": ["win"]}) >= 1500
+    assert _needs_post_wait({"type": "key_combo", "keys": ["win", "s"]}) >= 1500
+    assert _needs_post_wait({"type": "key_combo", "keys": ["escape"]}) >= 500
+
+
+def test_streamer_prioritizes_real_captor_event_types():
+    from agent_v0.agent_v1.network.streamer import TraceStreamer
+
+    streamer = TraceStreamer("sess_keyboard_priority")
+
+    assert streamer._is_priority_item("event", {"type": "key_combo"}) is True
+    assert streamer._is_priority_item("event", {"type": "text_input"}) is True
+    assert streamer._is_priority_item("event", {"type": "mouse_click"}) is True
+    assert streamer._is_priority_item("event", {"type": "heartbeat"}) is False

tests/unit/test_lea_message_contract.py

@@ -0,0 +1,280 @@
+"""Tests du contrat de messages humains pour Lea."""
+
+from __future__ import annotations
+
+import pytest
+
+from agent_v0.agent_v1.ui.message_contract import (
+    MAX_FIELD_CHARS,
+    MessageContractError,
+    coerce_supervised_pause_message,
+    format_supervised_pause_from_mapping,
+    format_supervised_pause_message,
+    validate_supervised_pause_message,
+    validate_visible_message,
+    warn_visible_message,
+)
+
+
+def _valid_pause(**overrides: str) -> str:
+    fields = {
+        "intention": "ouvrir le dossier patient dans Aiva Urgence",
+        "attendu": "voir la fiche du patient ouverte avec la liste des passages",
+        "vu": "la page d'accueil Aiva Urgence sans le dossier patient",
+        "demande": "ouvrir le dossier patient puis me rendre la main",
+    }
+    fields.update(overrides)
+    return format_supervised_pause_message(**fields)
+
+
+def _raw_pause(**overrides: str) -> str:
+    fields = {
+        "intention": "ouvrir le dossier patient dans Aiva Urgence",
+        "attendu": "voir la fiche du patient ouverte avec la liste des passages",
+        "vu": "la page d'accueil Aiva Urgence sans le dossier patient",
+        "demande": "ouvrir le dossier patient puis me rendre la main",
+    }
+    fields.update(overrides)
+    return "\n".join(
+        [
+            f"J'essaie de : {fields['intention']}",
+            f"J'attendais : {fields['attendu']}",
+            f"Je vois     : {fields['vu']}",
+            f"Peux-tu     : {fields['demande']}",
+        ]
+    )
+
+
+def _issue_codes(message: str) -> set[str]:
+    return {issue.code for issue in validate_supervised_pause_message(message).issues}
+
+
+def test_format_supervised_pause_has_exact_four_field_structure():
+    message = _valid_pause()
+
+    assert message.splitlines() == [
+        "J'essaie de : ouvrir le dossier patient dans Aiva Urgence",
+        "J'attendais : voir la fiche du patient ouverte avec la liste des passages",
+        "Je vois     : la page d'accueil Aiva Urgence sans le dossier patient",
+        "Peux-tu     : ouvrir le dossier patient puis me rendre la main",
+    ]
+    assert validate_supervised_pause_message(message).valid
+
+
+def test_format_from_mapping_accepts_runtime_aliases():
+    message = format_supervised_pause_from_mapping(
+        {
+            "trying_to": "selectionner le passage aux urgences",
+            "expected": "voir le formulaire de codage du passage",
+            "observed": "la liste des passages reste affichee",
+            "request": "selectionner le bon passage puis me rendre la main",
+        }
+    )
+
+    assert "J'essaie de : selectionner le passage aux urgences" in message
+    assert validate_supervised_pause_message(message).valid
+
+
+@pytest.mark.parametrize(
+    "bad_phrase",
+    [
+        "un element",
+        "un élément",
+        "cette action",
+        "Validation requise",
+        "cible inconnue",
+    ],
+)
+def test_blacklist_refuses_generic_formulations(bad_phrase):
+    message = _raw_pause(vu=f"je vois {bad_phrase}")
+
+    result = validate_supervised_pause_message(message)
+
+    assert not result.valid
+    assert "generic_phrase" in {issue.code for issue in result.issues}
+
+
+@pytest.mark.parametrize(
+    "technical_text",
+    [
+        "action_click_12ab34",
+        "replay_9f8e7d6c",
+        "session_id",
+        "target_spec.by_text",
+        "550e8400-e29b-41d4-a716-446655440000",
+        "a3f6c9d8e1b24567",
+    ],
+)
+def test_refuses_raw_technical_identifiers(technical_text):
+    message = _raw_pause(attendu=f"voir le dossier patient apres {technical_text}")
+
+    assert "technical_identifier" in _issue_codes(message) or "technical_field" in _issue_codes(message)
+
+
+@pytest.mark.parametrize(
+    "technical_text",
+    [
+        "(123, 456)",
+        "x=120 y=340",
+        "340px",
+        "score=0.87",
+        "confidence=0.91",
+        "similarité=0.42",
+    ],
+)
+def test_refuses_pixels_and_raw_scores(technical_text):
+    message = _raw_pause(vu=f"la page Aiva avec {technical_text}")
+
+    codes = _issue_codes(message)
+
+    assert "raw_coordinates" in codes or "raw_score" in codes
+
+
+@pytest.mark.parametrize(
+    "technical_english",
+    [
+        "target_not_found",
+        "no_screen_change",
+        "wrong_window",
+        "validation required",
+        "retry",
+        "screenshot",
+    ],
+)
+def test_refuses_technical_english(technical_english):
+    message = _raw_pause(vu=f"le message {technical_english} est affiche")
+
+    assert "technical_english" in _issue_codes(message)
+
+
+def test_refuses_raw_english_instruction():
+    message = _raw_pause(demande="please click the target button")
+
+    codes = _issue_codes(message)
+
+    assert "technical_english" in codes
+    assert "not_actionable" in codes
+
+
+def test_refuses_messages_without_four_required_lines():
+    result = validate_supervised_pause_message("Je ne trouve pas le dossier patient.")
+
+    assert not result.valid
+    assert "invalid_structure" in {issue.code for issue in result.issues}
+
+
+def test_refuses_wrong_label_order():
+    message = "\n".join(
+        [
+            "J'attendais : voir la fiche patient",
+            "J'essaie de : ouvrir le dossier patient",
+            "Je vois     : la page d'accueil",
+            "Peux-tu     : ouvrir le dossier puis me rendre la main",
+        ]
+    )
+
+    assert "invalid_structure" in _issue_codes(message)
+
+
+def test_demande_must_be_actionable_in_french():
+    message = "\n".join(
+        [
+            "J'essaie de : ouvrir le dossier patient",
+            "J'attendais : voir la fiche patient ouverte",
+            "Je vois     : la page d'accueil Aiva Urgence",
+            "Peux-tu     : merci beaucoup",
+        ]
+    )
+
+    assert "not_actionable" in _issue_codes(message)
+
+
+def test_visible_message_validator_accepts_clear_french_actionable_text():
+    message = (
+        "Je ne trouve pas le dossier patient dans Aiva Urgence. "
+        "Peux-tu ouvrir le dossier puis me rendre la main ?"
+    )
+
+    assert validate_visible_message(message).valid
+
+
+def test_formatter_raises_instead_of_emitting_generic_message():
+    with pytest.raises(MessageContractError):
+        format_supervised_pause_message(
+            intention="faire cette action",
+            attendu="validation requise",
+            vu="un element",
+            demande="corriger",
+        )
+
+
+def test_formatter_raises_on_too_short_request():
+    with pytest.raises(MessageContractError):
+        format_supervised_pause_message(
+            intention="ouvrir le dossier patient dans Aiva Urgence",
+            attendu="voir la fiche du patient ouverte",
+            vu="la page d'accueil Aiva Urgence",
+            demande="corriger",
+        )
+
+
+def test_coerce_turns_legacy_validation_required_into_structured_pause():
+    message = coerce_supervised_pause_message("Validation requise")
+
+    assert validate_supervised_pause_message(message).valid
+    assert "Validation requise" not in message
+    assert message.splitlines()[0].startswith("J'essaie de :")
+
+
+def test_coerce_keeps_clear_legacy_request_as_demande():
+    message = coerce_supervised_pause_message(
+        "Valider le dossier patient avant enregistrement",
+        intention="enregistrer le dossier patient",
+        attendu="avoir ton accord avant l'enregistrement",
+        vu="le formulaire patient est pret a etre enregistre",
+    )
+
+    assert validate_supervised_pause_message(message).valid
+    assert "Valider le dossier patient avant enregistrement" in message
+
+
+def test_warn_visible_message_logs_without_modifying_message(caplog):
+    raw = "Validation requise"
+
+    returned = warn_visible_message(raw, source="unit.raw")
+
+    assert returned == raw
+    assert "invalid_message source=unit.raw" in caplog.text
+    assert "generic_phrase" in caplog.text
+
+
+def test_warn_visible_message_accepts_supervised_pause_without_log(caplog):
+    message = _valid_pause()
+
+    returned = warn_visible_message(
+        message,
+        source="unit.final",
+        supervised_pause=True,
+    )
+
+    assert returned == message
+    assert "invalid_message" not in caplog.text
+
+
+def test_refuses_overlong_fields_and_messages():
+    long_field = "ouvrir " + ("le dossier patient " * 45)
+    assert len(long_field) > MAX_FIELD_CHARS
+
+    message = "\n".join(
+        [
+            f"J'essaie de : {long_field}",
+            "J'attendais : voir la fiche patient ouverte",
+            "Je vois     : la page d'accueil Aiva Urgence",
+            "Peux-tu     : ouvrir le dossier patient puis me rendre la main",
+        ]
+    )
+
+    codes = _issue_codes(message)
+
+    assert "field_too_long" in codes
+    assert "message_too_long" in codes

tests/unit/test_lea_micro_preflight.py

@@ -0,0 +1,109 @@
+import json
+import sys
+from pathlib import Path
+
+
+ROOT = Path(__file__).parent.parent.parent
+sys.path.insert(0, str(ROOT))
+
+from tools import lea_micro_preflight as preflight
+
+
+FREE_OUTPUT = """\
+               total        used        free      shared  buff/cache   available
+Mem:           64202       15500       32000         123       16702       47000
+Swap:           8192        1024        7168
+"""
+
+
+def test_parse_free_m_extracts_ram_and_swap():
+    parsed = preflight.parse_free_m(FREE_OUTPUT)
+
+    assert parsed["mem"]["total"] == 64202
+    assert parsed["mem"]["available"] == 47000
+    assert parsed["swap"] == {"total": 8192, "used": 1024, "free": 7168}
+
+
+def test_parse_free_m_accepts_french_locale_labels():
+    output = """\
+               total     utilisé       libre     partagé  tamp/cache  disponible
+Mem:          126365       60425        2919       12847       77071       65939
+Échange:       8191        3397        4794
+"""
+
+    parsed = preflight.parse_free_m(output)
+
+    assert parsed["mem"]["used"] == 60425
+    assert parsed["mem"]["available"] == 65939
+    assert parsed["swap"] == {"total": 8191, "used": 3397, "free": 4794}
+
+
+def test_parse_nvidia_smi_memory_multiple_gpus():
+    parsed = preflight.parse_nvidia_smi_memory("8123, 24576\n3999 MiB, 12288 MiB\n")
+
+    assert parsed == [
+        {"free_mib": 8123, "total_mib": 24576},
+        {"free_mib": 3999, "total_mib": 12288},
+    ]
+
+
+def test_extract_ollama_tags_accepts_name_and_model_keys():
+    tags = preflight.extract_ollama_tags(
+        {
+            "models": [
+                {"name": "qwen2.5vl:7b-rpa"},
+                {"model": "qwen2.5:7b"},
+                {"name": ""},
+                "ignored",
+            ]
+        }
+    )
+
+    assert tags == {"qwen2.5vl:7b-rpa", "qwen2.5:7b"}
+
+
+def _install_fakes(monkeypatch, *, resident=True, tags_ok=True, swap_used=1024):
+    free_output = FREE_OUTPUT.replace("1024", str(swap_used), 1)
+
+    def fake_run_command(args, timeout=5.0):
+        if args[0] == "nvidia-smi":
+            return 0, "8123, 24576", ""
+        if args[0] == "free":
+            return 0, free_output, ""
+        raise AssertionError(f"unexpected command: {args!r}")
+
+    def fake_http_json(url, timeout=2.0):
+        if url.endswith("/api/tags"):
+            models = [{"name": "qwen2.5vl:7b-rpa"}]
+            if tags_ok:
+                models.append({"name": "qwen2.5:7b"})
+            return True, {"models": models}, ""
+        if url.endswith("/api/ps"):
+            models = [{"name": "qwen2.5vl:7b-rpa"}] if resident else []
+            return True, {"models": models}, ""
+        raise AssertionError(f"unexpected url: {url!r}")
+
+    monkeypatch.setattr(preflight, "run_command", fake_run_command)
+    monkeypatch.setattr(preflight, "http_json", fake_http_json)
+
+
+def test_main_returns_zero_when_all_checks_ok(monkeypatch, capsys):
+    _install_fakes(monkeypatch)
+
+    assert preflight.main(["--json"]) == 0
+    report = json.loads(capsys.readouterr().out)
+    assert report["overall"] == "ok"
+    assert report["warmup"] == "disabled"
+
+
+def test_main_warns_when_vlm_not_resident_and_strict_exits_one(monkeypatch):
+    _install_fakes(monkeypatch, resident=False)
+
+    assert preflight.main([]) == 0
+    assert preflight.main(["--strict"]) == 1
+
+
+def test_main_fails_when_required_model_missing(monkeypatch):
+    _install_fakes(monkeypatch, tags_ok=False)
+
+    assert preflight.main([]) == 2

tests/unit/test_lea_notifications.py

@@ -88,9 +88,9 @@ class TestExtraction:
         assert _nettoyer_description_cible(None) == ""
 
     def test_nettoyer_description_tronque(self):
-        longue = "x" * 200
+        longue = "x" * 1100
         resultat = _nettoyer_description_cible(longue)
-        assert len(resultat) <= 80
+        assert len(resultat) <= 1024
         assert resultat.endswith("...")
 
 
@@ -345,9 +345,10 @@ class TestFormatterErreurGenerique:
         assert msg.niveau == NiveauMessage.ATTENTION
 
     def test_message_inconnu_tronque(self):
-        long_msg = "erreur très longue " * 20
+        long_msg = "erreur très longue " * 80
         msg = formatter_erreur_generique(long_msg)
-        assert len(msg.corps) <= 200  # tronqué avec "..."
+        assert len(msg.corps) <= len("J'ai rencontré un souci : ") + 1024
+        assert msg.corps.endswith("...")
 
     def test_pas_de_code_technique_dans_message_utilisateur(self):
         """Les messages présentés à l'utilisateur ne doivent pas contenir de