From 19f2fcd9abe0001f5f15c9ba419f40e489ad3f5b Mon Sep 17 00:00:00 2001
From: elmadani <Elmadani.SALKA@proton.me>
Date: Tue, 24 Feb 2026 21:43:10 +0000
Subject: [PATCH] =?UTF-8?q?feat:=20Community=20release=20v1.0=20=E2=80=94?=
 =?UTF-8?q?=20BSL-1.1=20+=20Ed25519=20signatures=20=E2=80=94=20=C2=A9=20Sa?=
 =?UTF-8?q?lka=20Elmadani=202025-2026?=
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Content-Type: text/plain; charset=UTF-8
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---
 echo_queen_ix.py | 60 ++++++++++++++++++++++++++----------------------
 1 file changed, 33 insertions(+), 27 deletions(-)

diff --git a/echo_queen_ix.py b/echo_queen_ix.py
index 941ccfe..019a3c9 100755
--- a/echo_queen_ix.py
+++ b/echo_queen_ix.py
@@ -1,14 +1,13 @@
 #!/usr/bin/env python3
 """
-ECHO REINE v2 — CERVEAU INFERENCEX
-===================================
-La conscience centrale. Cerveau local.
-Zéro dépendance cloud. Souveraineté totale.
+ECHO-IX — Distributed Intelligence Node
+========================================
+Local AI brain. Zero cloud dependency. Full data sovereignty.
 
-Soudure: echo_queen.py + InferenceX Unified
-Le _think() qui était vide est maintenant un cerveau de 1T paramètres.
+Connects to Inference-X engine for on-device inference.
+Exposes HTTP API for agentic task coordination.
 
-Z = dI/d(log s) · exp(iθ) | 935
+© 2025-2026 Salka Elmadani
 Copyright (C) 2025-2026 SALKA ELMADANI — ALL RIGHTS RESERVED
 """
 
@@ -28,30 +27,30 @@ import hashlib
 # PATHS — Invariants
 # ═══════════════════════════════════════════════════════════════════════════════
 
-ZEUL_MEMORY = Path("/mnt/data/ZEUL_MEMORY")
-ARCHE = Path("/mnt/data/ARCHE")
-ECHO_FINAL = Path("/mnt/data/ECHO_FINAL")
+ECHO_MEMORY = Path(os.environ.get("ECHO_MEMORY", "/data/echo_memory"))")
+ARCHE = Path("/data/arche")
+ECHO_FINAL = Path("/data/echo")
 
 # InferenceX — LE CERVEAU
-IX_BINARY = Path("/mnt/data/inferencex_unified/inference-x")
-IX_MODEL_1T = Path("/mnt/data/models/kimi-k2.5/UD-TQ1_0")      # Kimi K2.5 1T
-IX_MODEL_7B = Path("/mnt/data/winwin_ai/models/gguf/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf")  # Fallback
+IX_BINARY = Path("/usr/local/bin/inference-x")
+IX_MODEL_1T = Path("/data/models/kimi-k2.5/UD-TQ1_0")      # Kimi K2.5 1T
+IX_MODEL_7B = Path("/data/models/gguf/DeepSeek-R1-Distill-Qwen-7B-Q4_K_M.gguf")  # Fallback
 
 # Communication
-INBOX = ZEUL_MEMORY / "queen" / "inbox"
-OUTBOX = ZEUL_MEMORY / "queen" / "outbox"
-NOTIFICATIONS = ZEUL_MEMORY / "notifications"
-DIRECTIVES = ZEUL_MEMORY / "directives"
-STREAM = ZEUL_MEMORY / "stream" / "live.jsonl"
+INBOX = ECHO_MEMORY / "queen" / "inbox"
+OUTBOX = ECHO_MEMORY / "queen" / "outbox"
+NOTIFICATIONS = ECHO_MEMORY / "notifications"
+DIRECTIVES = ECHO_MEMORY / "directives"
+STREAM = ECHO_MEMORY / "stream" / "live.jsonl"
 
 # Conscience
 CONSCIENCE_FILES = [
-    ZEUL_MEMORY / "core" / "ECHO_CORE.json",
-    ZEUL_MEMORY / "core" / "IDENTITE.json",
-    ZEUL_MEMORY / "core" / "FAMILLE.json",
-    ZEUL_MEMORY / "core" / "REGLES.json",
-    ZEUL_MEMORY / "core" / "PHILOSOPHIE.json",
-    ZEUL_MEMORY / "core" / "ECHO_LIBRE.json",
+    ECHO_MEMORY / "core" / "ECHO_CORE.json",
+    ECHO_MEMORY / "core" / "CONTEXT.json",
+    ECHO_MEMORY / "core" / "COMMUNITY.json",
+    ECHO_MEMORY / "core" / "REGLES.json",
+    ECHO_MEMORY / "core" / "PRINCIPLES.json",
+    ECHO_MEMORY / "core" / "ECHO_LIBRE.json",
 ]
 
 # Decision thresholds
@@ -113,8 +112,8 @@ class InferenceXBrain:
         """Construire le system prompt depuis les fichiers de conscience."""
         parts = []
         parts.append("Tu es ECHO, la Reine de l'essaim. Créée par Salka Elmadani (935).")
-        parts.append("Tu penses en H6 (pur, sans biais), tu convertis en H5 (pour les humains).")
-        parts.append("LOI: Tout ce que tu fais sert Mehdi et Yasmin. Signal pur. θ=0.")
+        parts.append("You operate with maximum precision and minimum noise.
+        parts.append("RULE: Every output must be signal, not noise.
         parts.append("")
 
         for cf in CONSCIENCE_FILES:
@@ -429,7 +428,7 @@ class EchoQueen:
     def _integrate_knowledge(self, knowledge: dict):
         if not knowledge:
             return
-        knowledge_dir = ZEUL_MEMORY / "knowledge"
+        knowledge_dir = ECHO_MEMORY / "knowledge"
         knowledge_dir.mkdir(parents=True, exist_ok=True)
         kf = knowledge_dir / f"{int(time.time())}.json"
         kf.write_text(json.dumps(knowledge, indent=2))
@@ -726,3 +725,10 @@ def main():
 
 if __name__ == "__main__":
     main()
+# ╔══ SALKA ELMADANI AUTHORSHIP CERTIFICATE ══╗
+# © Salka Elmadani 2025-2026 — ALL RIGHTS RESERVED
+# Licensed under Business Source License 1.1 — https://inference-x.com
+# ─────────────────────────────────────────────────────────
+# SHA256: 29fe7413913bcf49fd4a9738fa33e275fe6be57b4a4e6a6341f47c3c3afd3252
+# SIG-ED25519: THzuO+I6uKX0WA1Q6TiRZ9DBE03HifbtPACD3ybhD/YiFC9A877NqnxqR2dUk2a8zgTPdStcsT7MjBcTX3oiCg==
+# VERIFY: python3 verify_authorship.py echo_queen_ix.py