import uuid from functools import partial from fastapi import APIRouter, Depends, Body from pydantic import BaseModel, Field from memgpt.server.rest_api.auth_token import get_current_user from memgpt.server.rest_api.interface import QueuingInterface from memgpt.server.server import SyncServer router = APIRouter() class CoreMemory(BaseModel): human: str | None = Field(None, description="Human element of the core memory.") persona: str | None = Field(None, description="Persona element of the core memory.") class GetAgentMemoryResponse(BaseModel): core_memory: CoreMemory = Field(..., description="The state of the agent's core memory.") recall_memory: int = Field(..., description="Size of the agent's recall memory.") archival_memory: int = Field(..., description="Size of the agent's archival memory.") # NOTE not subclassing CoreMemory since in the request both field are optional class UpdateAgentMemoryRequest(BaseModel): agent_id: str = Field(..., description="The unique identifier of the agent.") human: str = Field(None, description="Human element of the core memory.") persona: str = Field(None, description="Persona element of the core memory.") class UpdateAgentMemoryResponse(BaseModel): old_core_memory: CoreMemory = Field(..., description="The previous state of the agent's core memory.") new_core_memory: CoreMemory = Field(..., description="The updated state of the agent's core memory.") def setup_agents_memory_router(server: SyncServer, interface: QueuingInterface, password: str): get_current_user_with_server = partial(partial(get_current_user, server), password) @router.get("/agents/{agent_id}/memory", tags=["agents"], response_model=GetAgentMemoryResponse) def get_agent_memory( agent_id: uuid.UUID, user_id: uuid.UUID = Depends(get_current_user_with_server), ): """ Retrieve the memory state of a specific agent. This endpoint fetches the current memory state of the agent identified by the user ID and agent ID. """ interface.clear() memory = server.get_agent_memory(user_id=user_id, agent_id=agent_id) return GetAgentMemoryResponse(**memory) @router.post("/agents/{agent_id}/memory", tags=["agents"], response_model=UpdateAgentMemoryResponse) def update_agent_memory( agent_id: uuid.UUID, request: UpdateAgentMemoryRequest = Body(...), user_id: uuid.UUID = Depends(get_current_user_with_server), ): """ Update the core memory of a specific agent. This endpoint accepts new memory contents (human and persona) and updates the core memory of the agent identified by the user ID and agent ID. """ agent_id = uuid.UUID(request.agent_id) if request.agent_id else None interface.clear() new_memory_contents = {"persona": request.persona, "human": request.human} response = server.update_agent_core_memory(user_id=user_id, agent_id=agent_id, new_memory_contents=new_memory_contents) return UpdateAgentMemoryResponse(**response) return router