feat: фаза 3 (часть 1) — disclaimer, очередь, initiator + IP

3.6 UI: убрать stat-minibar и heatmap с дашборда
3.2 AI disclaimer под каждым LLM-вердиктом
3.4 LLM_MAX_CONCURRENT_ANALYSES + Semaphore в llm.py
3.1 Scan.initiator + source_ip, webhook захватывает, UI показывает

guarddog_nexus/core/llm.py

@@ -3,6 +3,7 @@
 Supports any OpenAI-compatible API endpoint with configurable model.
 """
 
+import asyncio
 import json
 
 import httpx
@@ -11,6 +12,8 @@ from ..config import config
 from ..constants import LLM_ANALYSIS_SYSTEM_PROMPT
 from ..logging_setup import log
 
+_llm_semaphore = asyncio.Semaphore(config.llm_max_concurrent)
+
 
 def _build_user_message(finding: dict) -> str:
     """Build a concise prompt from a finding's data."""
@@ -62,12 +65,13 @@ async def analyze_finding(finding_data: dict) -> dict | None:
     }
 
     try:
-        async with httpx.AsyncClient(
-            timeout=config.llm_timeout, headers=headers
-        ) as client:
-            resp = await client.post(url, json=payload)
-            resp.raise_for_status()
-            body = resp.json()
+        async with _llm_semaphore:
+            async with httpx.AsyncClient(
+                timeout=config.llm_timeout, headers=headers
+            ) as client:
+                resp = await client.post(url, json=payload)
+                resp.raise_for_status()
+                body = resp.json()
     except httpx.TimeoutException:
         log.error(
             "LLM analysis timed out after %ds for rule=%s",