Initial lightweight AI agent admin

backend/app/services/collaboration.py

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+import time
+
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.models import Agent, AgentTeam, CollaborationRun
+from app.services.llm import LLMService
+
+
+class CollaborationService:
+    def __init__(self, db: AsyncSession):
+        self.db = db
+        self.llm = LLMService(db)
+
+    async def run(self, team: AgentTeam, task: str) -> CollaborationRun:
+        started = time.time()
+        run = CollaborationRun(team_id=team.id, task=task, status="running", messages=[], final_answer="")
+        self.db.add(run)
+        await self.db.flush()
+
+        messages = []
+        context = task
+        for member in team.members or []:
+            agent_id = member.get("agent_id")
+            role = member.get("role", "member")
+            agent = await self.db.get(Agent, agent_id) if agent_id else None
+            if not agent:
+                content = f"{role}: 未配置有效智能体，跳过。"
+            else:
+                content = await self.llm.complete(agent, f"你的协作角色是 {role}。请基于上下文完成任务：{context}")
+            messages.append({"role": role, "agent_id": agent_id, "agent_name": agent.name if agent else "", "content": content})
+            context = f"{context}\n\n[{role}] {content}"
+
+        run.messages = messages
+        run.final_answer = messages[-1]["content"] if messages else "团队暂无成员，无法执行协作任务。"
+        run.status = "completed"
+        run.elapsed_time = int((time.time() - started) * 1000)
+        await self.db.commit()
+        await self.db.refresh(run)
+        return run