Add memory system session context API

skills/memory-system-api/references/api.md

@@ -72,6 +72,68 @@ curl -s -X POST <MEMORY_SYSTEM_BASE_URL>/memory-system/sessions/<SESSION_ID>/ext
   -d '{"user_id": "<USER_ID>", "user_key": "<USER_KEY>"}'
 ```
 
+## Session Context
+
+Use this when the caller needs the OpenViking working-memory context for one session plus related EverOS recall for the same user/session.
+
+```bash
+curl -s -X POST <MEMORY_SYSTEM_BASE_URL>/memory-system/sessions/<SESSION_ID>/context \
+  -H "Content-Type: application/json" \
+  -d '{
+    "user_id": "<USER_ID>",
+    "user_key": "<USER_KEY>",
+    "query": "我喜欢喝什么？",
+    "limit": 10
+  }'
+```
+
+Equivalent GET form:
+
+```bash
+curl -s "<MEMORY_SYSTEM_BASE_URL>/memory-system/sessions/<SESSION_ID>/context?user_id=<USER_ID>&user_key=<USER_KEY>&query=我喜欢喝什么？&limit=10"
+```
+
+Response shape:
+
+```json
+{
+  "status": "success",
+  "context": {
+    "latest_archive_overview": "# Working Memory\n...",
+    "pre_archive_abstracts": [],
+    "messages": [],
+    "estimatedTokens": 342,
+    "stats": {"totalArchives": 3}
+  },
+  "items": [
+    {
+      "source_backend": "everos",
+      "memory_type": "episode",
+      "id": "episode-1",
+      "summary": "userB 在对话中表示自己喜欢拿铁。",
+      "score": 0.72
+    }
+  ],
+  "backends": {
+    "openviking": {
+      "status": "success",
+      "result": {
+        "status": "ok",
+        "estimatedTokens": 342,
+        "has_latest_archive_overview": true,
+        "message_count": 0
+      }
+    },
+    "everos": {
+      "status": "success",
+      "result": {
+        "counts": {"episodes": 1, "profiles": 0, "raw_messages": 0}
+      }
+    }
+  }
+}
+```
+
 ## Search
 
 Without LLM planning: