chore: mini-openclaw 初始版本

Next.js 前端 + FastAPI/LangChain 后端透明 agent平台
- 含 .gitignore, 敏感文件(sessions数据/.env/venv等)已排除
- 待后续添加 trajectory 自进化机制

backend/api/compress.py

@@ -0,0 +1,71 @@
+"""POST /api/sessions/{session_id}/compress — Compress conversation history."""
+
+import os
+import traceback
+from typing import Any
+
+from fastapi import APIRouter, HTTPException
+from langchain_core.messages import HumanMessage
+
+from graph.session_manager import session_manager
+
+router = APIRouter()
+
+
+async def _generate_summary(messages: list[dict[str, Any]]) -> str:
+    """Use DeepSeek to generate a compressed summary of messages."""
+    from langchain_deepseek import ChatDeepSeek
+
+    llm = ChatDeepSeek(
+        model=os.getenv("DEEPSEEK_MODEL", "deepseek-chat"),
+        api_key=os.getenv("DEEPSEEK_API_KEY"),
+        api_base=os.getenv("DEEPSEEK_BASE_URL", "https://api.deepseek.com"),
+        temperature=0.3,
+    )
+
+    # Format messages for summary
+    formatted = []
+    for msg in messages:
+        role = msg.get("role", "unknown")
+        content = msg.get("content", "")
+        if content:
+            formatted.append(f"{role}: {content[:500]}")
+
+    conversation_text = "\n".join(formatted)
+
+    prompt = (
+        "请将以下对话历史压缩为简洁的中文摘要，保留关键信息、决策和结论。"
+        "摘要不超过500字。只输出摘要内容，不要添加额外说明。\n\n"
+        f"{conversation_text}"
+    )
+
+    result = await llm.ainvoke([HumanMessage(content=prompt)])
+    return result.content.strip()
+
+
+@router.post("/sessions/{session_id}/compress")
+async def compress_session(session_id: str) -> dict[str, Any]:
+    """Compress the first 50% of conversation history into a summary."""
+    messages = session_manager.load_session(session_id)
+    if len(messages) < 4:
+        raise HTTPException(
+            status_code=400,
+            detail="Not enough messages to compress (need at least 4)",
+        )
+
+    # Take the first 50% of messages
+    num_to_remove = max(4, len(messages) // 2)
+
+    messages_to_compress = messages[:num_to_remove]
+
+    try:
+        summary = await _generate_summary(messages_to_compress)
+        session_manager.compress_history(session_id, summary, num_to_remove)
+        remaining = len(messages) - num_to_remove
+        return {
+            "archived_count": num_to_remove,
+            "remaining_count": remaining,
+        }
+    except Exception as e:
+        traceback.print_exc()
+        raise HTTPException(status_code=500, detail=f"Compression failed: {str(e)}")