diff --git a/memgpt/client/client.py b/memgpt/client/client.py index 5dbf8c0456..2ff951d7c8 100644 --- a/memgpt/client/client.py +++ b/memgpt/client/client.py @@ -1,24 +1,18 @@ import time import uuid -from typing import Dict, List, Optional, Tuple, Union, TYPE_CHECKING +from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union + import httpx from memgpt.config import MemGPTConfig -from memgpt.log import get_logger from memgpt.constants import BASE_TOOLS -from memgpt.settings import settings from memgpt.data_sources.connectors import DataConnector from memgpt.functions.functions import parse_source_code +from memgpt.log import get_logger from memgpt.memory import get_memory_functions - -# This is a hack for now, should be using new schemas -from memgpt.server.schemas.humans import ListHumansResponse -from memgpt.server.schemas.personas import ListPersonasResponse -from memgpt.server.schemas.config import ConfigResponse +from memgpt.schemas.agent import AgentState, CreateAgent, UpdateAgentState # new schemas -from memgpt.schemas.block import Human, Persona -from memgpt.schemas.agent import AgentState, CreateAgent, UpdateAgentState from memgpt.schemas.block import ( Block, CreateBlock, @@ -40,23 +34,22 @@ from memgpt.schemas.memgpt_response import MemGPTResponse from memgpt.schemas.memory import ( ArchivalMemorySummary, - ChatMemory, BlockChatMemory, Memory, RecallMemorySummary, ) -from memgpt.schemas.job import Job -from memgpt.schemas.enums import JobStatus -from memgpt.schemas.message import ( - Message, - MessageCreate -) +from memgpt.schemas.message import Message, MessageCreate from memgpt.schemas.passage import Passage from memgpt.schemas.source import Source, SourceCreate, SourceUpdate from memgpt.schemas.tool import Tool, ToolCreate, ToolUpdate -from memgpt.schemas.user import UserCreate from memgpt.server.rest_api.interface import QueuingInterface +from memgpt.server.schemas.config import ConfigResponse + +# This is a hack for now, should be using new schemas +from memgpt.server.schemas.humans import ListHumansResponse +from memgpt.server.schemas.personas import ListPersonasResponse from memgpt.server.server import SyncServer +from memgpt.settings import settings from memgpt.utils import get_human_text, get_persona_text if TYPE_CHECKING: @@ -64,11 +57,14 @@ logger = get_logger(__name__) -def create_client(base_url: Optional[str] = None, - token: Optional[str] = None, - config: Optional[MemGPTConfig] = None, - app: Optional[str] = None, - debug: Optional[bool] = False) -> Union["RESTClient", "LocalClient"]: + +def create_client( + base_url: Optional[str] = None, + token: Optional[str] = None, + config: Optional[MemGPTConfig] = None, + app: Optional[str] = None, + debug: Optional[bool] = False, +) -> Union["RESTClient", "LocalClient"]: """factory method to create either a local or rest api enabled client. _TODO: link to docs on the difference between the two._ @@ -238,7 +234,7 @@ def __init__( base_url: str, token: str, debug: bool = False, - app: Optional[Union["WSGITransport","ASGITransport"]] = None, + app: Optional[Union["WSGITransport", "ASGITransport"]] = None, ): super().__init__(debug=debug) httpx_client_args = { @@ -266,7 +262,6 @@ async def agent_exists(self, agent_id: Optional[str] = None, agent_name: Optiona return True return False - def get_tool(self, tool_name: str): response = self.httpx_client.get(f"/tools/{tool_name}/") if response.status_code != 200: @@ -280,7 +275,12 @@ async def create_agent( embedding_config: Optional[EmbeddingConfig] = None, llm_config: Optional[LLMConfig] = None, # memory - memory: Memory = BlockChatMemory(blocks=[Block(name="human block", value=get_human_text(settings.human), label="human"), Block(name="persona block", value=get_persona_text(settings.persona), label="persona")]), + memory: Memory = BlockChatMemory( + blocks=[ + Block(name="human block", value=get_human_text(settings.human), label="human"), + Block(name="persona block", value=get_persona_text(settings.persona), label="persona"), + ] + ), # tools tools: Optional[List[str]] = None, include_base_tools: Optional[bool] = True, @@ -327,12 +327,8 @@ async def create_agent( return AgentState(**response.json()) - async def rename_agent(self, agent_id: str, new_name: str): - response = await self.httpx_client.patch(f"/agents/{agent_id}/rename/", json={"agent_name": new_name}) - assert response.status_code == 200, f"Failed to rename agent: {response.text}" - - return AgentState(**response.json()) + return await self.update_agent(agent_id, name=new_name) async def update_agent( self, @@ -466,7 +462,9 @@ async def get_messages( return [Message(**message) for message in response.json()] async def send_message(self, agent_id: str, message: str, role: str, stream: Optional[bool] = False) -> MemGPTResponse: - request = MemGPTRequest(messages=[MessageCreate(text=message, role=role)], run_async=False, stream_steps=stream, stream_tokens=stream) + request = MemGPTRequest( + messages=[MessageCreate(text=message, role=role)], run_async=False, stream_steps=stream, stream_tokens=stream + ) response = await self.httpx_client.post(f"/agents/{agent_id}/messages", json=request.model_dump(exclude_none=True)) if response.status_code != 200: raise ValueError(f"Failed to send message: {response.text}") @@ -741,10 +739,11 @@ async def create_tool( # make REST request request = ToolCreate(source_type=source_type, source_code=source_code, name=tool_name, json_schema=json_schema, tags=tags) - response = await self.httpx_client.post("/tools/", - json=request.model_dump(exclude_none=True), - params={"update": update}, - ) + response = await self.httpx_client.post( + "/tools/", + json=request.model_dump(exclude_none=True), + params={"update": update}, + ) if response.status_code != 200: raise ValueError(f"Failed to create tool: {response.text}") return Tool(**response.json()) @@ -818,6 +817,8 @@ def __init__( self.interface = QueuingInterface(debug=debug) self.server = SyncServer(default_interface_factory=lambda: self.interface) + self.user_id = self.server.get_current_user() + print(f"User ID: {self.user_id}") if user_id: self.user_id = user_id @@ -847,7 +848,12 @@ def create_agent( embedding_config: Optional[EmbeddingConfig] = None, llm_config: Optional[LLMConfig] = None, # memory - memory: Memory = BlockChatMemory(blocks=[Block(name="human block", value=get_human_text(settings.human), label="human"), Block(name="persona block", value=get_persona_text(settings.persona), label="persona")]), + memory: Memory = BlockChatMemory( + blocks=[ + Block(name="human block", value=get_human_text(settings.human), label="human"), + Block(name="persona block", value=get_persona_text(settings.persona), label="persona"), + ] + ), # system system: Optional[str] = None, # tools diff --git a/memgpt/metadata.py b/memgpt/metadata.py index 7a1629e83f..93d386a6d7 100644 --- a/memgpt/metadata.py +++ b/memgpt/metadata.py @@ -1,49 +1,50 @@ """ Metadata store for user/agent/data_source information""" -from typing import TYPE_CHECKING + import uuid -from typing import List, Optional +from importlib import import_module +from typing import TYPE_CHECKING, List, Optional + from humps import pascalize from sqlalchemy.exc import NoResultFound -from importlib import import_module from memgpt.log import get_logger -from memgpt.orm.errors import NoResultFound -from memgpt.orm.utilities import get_db_session -from memgpt.orm.token import Token from memgpt.orm.agent import Agent +from memgpt.orm.block import Block +from memgpt.orm.enums import JobStatus +from memgpt.orm.errors import NoResultFound from memgpt.orm.job import Job -from memgpt.orm.source import Source from memgpt.orm.memory_templates import HumanMemoryTemplate, PersonaMemoryTemplate -from memgpt.orm.user import User as SQLUser -from memgpt.orm.tool import Tool as SQLTool -from memgpt.orm.organization import Organization as SQLOrganization from memgpt.orm.message import Message as SQLMessage - +from memgpt.orm.organization import Organization as SQLOrganization +from memgpt.orm.source import Source +from memgpt.orm.token import Token +from memgpt.orm.tool import Tool as SQLTool +from memgpt.orm.user import User as SQLUser +from memgpt.orm.utilities import get_db_session from memgpt.schemas.agent import AgentState as DataAgentState -from memgpt.orm.enums import JobStatus from memgpt.schemas.block import Human, Persona from memgpt.schemas.enums import JobStatus from memgpt.schemas.job import Job +from memgpt.schemas.message import Message from memgpt.schemas.source import Source from memgpt.schemas.tool import Tool from memgpt.schemas.user import User -from memgpt.schemas.message import Message if TYPE_CHECKING: from sqlalchemy.orm import Session logger = get_logger(__name__) + class MetadataStore: """Metadatastore acts as a bridge between the ORM and the rest of the application. Ideally it will be removed in coming PRs and Allow requests to handle sessions atomically (this is how FastAPI really wants things to work, and will drastically reduce the mucking of the ORM layer). For now, all CRUD methods are invoked here instead of the ORM layer directly. """ + db_session: "Session" = None - def __init__(self, - db_session: Optional["Session"] = None, - actor: Optional["User"] = None): + def __init__(self, db_session: Optional["Session"] = None, actor: Optional["User"] = None): """ Args: db_session: the database session to use. @@ -53,10 +54,7 @@ def __init__(self, self.db_session = db_session or get_db_session() self.actor = actor - def create_api_key(self, - user_id: uuid.UUID, - name: Optional[str] = None, - actor: Optional["User"] = None) -> str: + def create_api_key(self, user_id: uuid.UUID, name: Optional[str] = None, actor: Optional["User"] = None) -> str: """Create an API key for a user Args: user_id: the user raw id as a UUID (legacy accessor) @@ -65,37 +63,30 @@ def create_api_key(self, Returns: api_key: the generated API key string starting with 'sk-' """ - token = Token( - _user_id=actor.id or user_id, - name=name - ).create(self.db_session) + token = Token(_user_id=actor.id or user_id, name=name).create(self.db_session) return token.api_key - def delete_api_key(self, - api_key: str) -> None: + def delete_api_key(self, api_key: str) -> None: """(soft) Delete an API key from the database Args: api_key: the API key to delete Raises: NotFoundError: if the API key does not exist or the user does not have access to it. """ - #TODO: this is a temporary shim. the long-term solution (next PR) will be to look up the token ID partial, check access, and soft delete. + # TODO: this is a temporary shim. the long-term solution (next PR) will be to look up the token ID partial, check access, and soft delete. logger.info(f"User %s is deleting API key %s", self.actor.id, api_key) Token.get_by_api_key(api_key).delete(self.db_session) - def get_api_key(self, - api_key: str, - actor: Optional["User"] = None) -> Optional[Token]: - """legacy token lookup. - Note: auth should remove this completely - there is no reason to look up a token without a user context. - """ - return Token.get_by_api_key(self.db_session, api_key).to_pydantic() + def get_api_key(self, api_key: str, actor: Optional["User"] = None) -> Optional[Token]: + """legacy token lookup. + Note: auth should remove this completely - there is no reason to look up a token without a user context. + """ + return Token.get_by_api_key(self.db_session, api_key).to_pydantic() - def get_all_api_keys_for_user(self, - user_id: uuid.UUID) -> List[Token]: - """""" - user = SQLUser.read(self.db_session, user_id) - return [r.to_pydantic() for r in user.tokens] + def get_all_api_keys_for_user(self, user_id: uuid.UUID) -> List[Token]: + """""" + user = SQLUser.read(self.db_session, user_id) + return [r.to_pydantic() for r in user.tokens] def get_user_from_api_key(self, api_key: str) -> Optional[User]: """Get the user associated with a given API key""" @@ -103,16 +94,29 @@ def get_user_from_api_key(self, api_key: str) -> Optional[User]: def _clean_agent_state(self, agent_state: DataAgentState, action: str = "create") -> DataAgentState: """Clean an agent state before creating or updating it in DB""" - excluded_fields = ["user_id", "memory", "created_at", "tools", "message_ids", "messages",] + excluded_fields = [ + "user_id", + "memory", + "created_at", + "tools", + "message_ids", + "messages", + ] if action == "create": excluded_fields.append("id") splatted_pydantic = agent_state.model_dump(exclude_none=True, exclude=excluded_fields) if agent_state.tools: - splatted_pydantic["tools"] = [SQLTool.read(self.db_session, name=r) if not isinstance(r, Tool) else r.to_sqlalchemy() for r in agent_state.tools] + splatted_pydantic["tools"] = [ + SQLTool.read(self.db_session, name=r) if not isinstance(r, Tool) else r.to_sqlalchemy(self.db_session) + for r in agent_state.tools + ] if agent_state.message_ids and action == "create": - splatted_pydantic["messages"] = [SQLMessage.read(self.db_session, identifier=r) if not isinstance(r, Message) else r.to_sqlalchemy() for r in agent_state.message_ids] + splatted_pydantic["messages"] = [ + SQLMessage.read(self.db_session, identifier=r) if not isinstance(r, Message) else r.to_sqlalchemy(self.db_session) + for r in agent_state.message_ids + ] # Blocks/Memory are a bit more complex, so we'll handle them separately in controller @@ -123,8 +127,9 @@ def create_agent(self, agent_state: DataAgentState): *Note* There is not currently a clear SQL <> Pydantic mapping for this object. Args: agent: the agent to create""" - return Agent(created_by_id=self.actor.id, - **self._clean_agent_state(agent_state=agent_state, action="create")).create(self.db_session) + return Agent(created_by_id=self.actor.id, **self._clean_agent_state(agent_state=agent_state, action="create")).create( + self.db_session + ) def update_agent(self, agent_state: DataAgentState): """Create an agent from a DataAgentState @@ -133,7 +138,7 @@ def update_agent(self, agent_state: DataAgentState): agent: the agent to create""" instance = Agent.read(self.db_session, agent_state.id) splatted_pydantic = self._clean_agent_state(agent_state=agent_state, action="update") - for k,v in splatted_pydantic.items(): + for k, v in splatted_pydantic.items(): setattr(instance, k, v) instance.update(self.db_session) @@ -145,7 +150,10 @@ def list_agents(self, **kwargs) -> List[DataAgentState]: def list_tools(self, **kwargs) -> List[Tool]: return self.list_tool(**kwargs) - def get_tool(self, id: Optional[str]=None, name: Optional[str]=None, user_id: uuid.UUID=None) -> Optional[Tool]: + def list_blocks(self, **kwargs) -> List[Block]: + return self.list_block(**kwargs) + + def get_tool(self, id: Optional[str] = None, name: Optional[str] = None, user_id: uuid.UUID = None) -> Optional[Tool]: try: if id: return SQLTool.read_by_id(self.db_session, id=id).to_pydantic() @@ -164,7 +172,7 @@ def __getattr__(self, name): __getattr__ is always the last-ditch effort, so you can override it by declaring any method (ie `get_hamburger`) to handle the call instead. """ - action, raw_model_name = name.split("_",1) + action, raw_model_name = name.split("_", 1) Model = getattr(import_module("memgpt.orm.__all__"), pascalize(raw_model_name).capitalize()) if Model is None: raise AttributeError(f"Model {raw_model_name} action {action} not found") @@ -174,32 +182,39 @@ def pluralize(name): match action: case "add": - return self.getattr("_".join(["create",raw_model_name])) + return self.getattr("_".join(["create", raw_model_name])) case "get": # this has no support for scoping, but we won't keep this pattern long try: - def get(id, user_id = None): + + def get(id, user_id=None): return Model.read(self.db_session, id).to_pydantic() + return get except IndexError: raise NoResultFound(f"No {raw_model_name} found with id {id}") case "create": + def create(schema): splatted_pydantic = schema.model_dump(exclude_none=True) return Model(created_by_id=self.actor.id, **splatted_pydantic).create(self.db_session).to_pydantic() + return create case "update": + def update(schema): instance = Model.read(self.db_session, schema.id) splatted_pydantic = schema.model_dump(exclude_none=True, exclude=["id"]) - for k,v in splatted_pydantic.items(): + for k, v in splatted_pydantic.items(): setattr(instance, k, v) instance.update(self.db_session) return instance.to_pydantic() + return update case "delete": + def delete(*args): - # hacky temp. look up the org for the user, get all the plural (related set) for that org and delete by name + # hacky temp. look up the org for the user, get all the plural (related set) for that org and delete by name if user_uuid := (args[1] if len(args) > 1 else None): org = SQLUser.read(self.db_session, user_uuid).organization related_set = getattr(org, pluralize(raw_model_name)) or [] @@ -207,6 +222,7 @@ def delete(*args): return instance = Model.read(self.db_session, args[0]) instance.delete(self.db_session) + return delete case "list": # hacky temp. look up the org for the user, get all the plural (related set) for that org @@ -216,6 +232,7 @@ def list(*args, **kwargs): filters["_organization_id"] = SQLUser.read(self.db_session, user_uuid).organization._id # TODO: this has no scoping, no pagination, and no filtering. it's a placeholder. return [r.to_pydantic() for r in Model.list(db_session=self.db_session, **filters)] + return list case _: raise AttributeError(f"Method {name} not found") @@ -229,8 +246,8 @@ def update_persona(self, persona: Persona) -> "Persona": return sql_persona.to_pydantic() def get_all_users(self, cursor: Optional[uuid.UUID] = None, limit: Optional[int] = 50) -> (Optional[uuid.UUID], List[User]): - del limit # TODO: implement pagination as part of predicate - return None , [u.to_pydantic() for u in SQLUser.list(self.db_session)] + del limit # TODO: implement pagination as part of predicate + return None, [u.to_pydantic() for u in SQLUser.list(self.db_session)] # agent source metadata def attach_source(self, user_id: uuid.UUID, agent_id: uuid.UUID, source_id: uuid.UUID) -> None: diff --git a/memgpt/server/server.py b/memgpt/server/server.py index 5282a9bf8e..8f1231195e 100644 --- a/memgpt/server/server.py +++ b/memgpt/server/server.py @@ -1,25 +1,37 @@ -from typing import TYPE_CHECKING, Callable, List, Optional, Tuple, Union +# inspecting tools +import importlib +import inspect +import os +import traceback import warnings from abc import abstractmethod from datetime import datetime -import uuid +from typing import Callable, List, Optional, Tuple, Union from fastapi import HTTPException -from memgpt.functions.schema_generator import generate_schema -from memgpt.orm.utilities import get_db_session import memgpt.constants as constants import memgpt.server.utils as server_utils import memgpt.system as system -from memgpt.utils import json_dumps, json_loads from memgpt.agent import Agent, save_agent -from memgpt.agent_store.storage import StorageConnector +from memgpt.agent_store.storage import StorageConnector, TableType from memgpt.cli.cli_config import get_model_options from memgpt.config import MemGPTConfig from memgpt.credentials import MemGPTCredentials from memgpt.data_sources.connectors import DataConnector, load_data -from memgpt.orm.user import User as SQLUser -from memgpt.orm.agent import Agent as SQLAgent + +# from memgpt.data_types import ( +# AgentState, +# EmbeddingConfig, +# LLMConfig, +# Message, +# Preset, +# Source, +# Token, +# User, +# ) +from memgpt.functions.functions import generate_schema, load_function_set +from memgpt.functions.schema_generator import generate_schema # TODO use custom interface from memgpt.interface import AgentInterface # abstract @@ -38,7 +50,6 @@ ) from memgpt.schemas.document import Document from memgpt.schemas.embedding_config import EmbeddingConfig -from memgpt.schemas.enums import TableType # openai schemas from memgpt.schemas.enums import JobStatus @@ -54,8 +65,8 @@ from memgpt.schemas.user import User, UserCreate from memgpt.utils import create_random_username, json_dumps, json_loads -if TYPE_CHECKING: - from sqlalchemy.orm import Session +# from memgpt.llm_api_tools import openai_get_model_list, azure_openai_get_model_list, smart_urljoin + logger = get_logger(__name__) @@ -130,12 +141,12 @@ def __init__( chaining: bool = True, max_chaining_steps: bool = None, default_interface_factory: Callable[[], AgentInterface] = lambda: CLIInterface(), - # test hooks - config: Optional["MemGPTConfig"] = None, - db_session: Optional["Session"] = None, + # default_interface: AgentInterface = CLIInterface(), + # default_persistence_manager_cls: PersistenceManager = LocalStateManager, + # auth_mode: str = "none", # "none, "jwt", "external" ): """Server process holds in-memory agents that are being run""" - self.db_session = db_session or get_db_session() + # List of {'user_id': user_id, 'agent_id': agent_id, 'agent': agent_obj} dicts self.active_agents = [] @@ -152,10 +163,23 @@ def __init__( # self.default_interface = default_interface_cls() # Initialize the connection to the DB - self.config = config or MemGPTConfig.load() - msg = "server :: loading configuration as passed" if config else \ - f"server :: loading configuration from '{self.config.config_path}'" - print(msg) + try: + self.config = MemGPTConfig.load() + assert self.config.default_llm_config is not None, "default_llm_config must be set in the config" + assert self.config.default_embedding_config is not None, "default_embedding_config must be set in the config" + except Exception as e: + # TODO: very hacky - need to improve model config for docker container + if os.getenv("OPENAI_API_KEY") is None: + logger.error("No OPENAI_API_KEY environment variable set and no ~/.memgpt/config") + raise e + + from memgpt.cli.cli import QuickstartChoice, quickstart + + quickstart(backend=QuickstartChoice.openai, debug=False, terminal=False, latest=False) + self.config = MemGPTConfig.load() + self.config.save() + + logger.debug(f"loading configuration from '{self.config.config_path}'") assert self.config.persona is not None, "Persona must be set in the config" assert self.config.human is not None, "Human must be set in the config" @@ -181,15 +205,11 @@ def __init__( assert self.server_embedding_config.embedding_model is not None, vars(self.server_embedding_config) # Initialize the metadata store - self.ms = MetadataStore(db_session=self.db_session, actor = self.get_current_user()) - - def get_current_user(self) -> SQLUser: - """ returns the currently authed user. - since server is the core gateway this needs to pass through server as the - first touchpoint. - """ - return SQLUser.default(self.db_session).to_pydantic() + self.ms = MetadataStore(self.config) + # TODO: this should be removed + # add global default tools (for admin) + self.add_default_tools(module_name="base") def save_agents(self): """Saves all the agents that are in the in-memory object store""" @@ -210,7 +230,7 @@ def _get_agent(self, user_id: str, agent_id: str) -> Union[Agent, None]: def _add_agent(self, user_id: str, agent_id: str, agent_obj: Agent) -> None: """Put an agent object inside the in-memory object store""" # Make sure the agent doesn't already exist - if self._get_agent(user_id, agent_id=agent_id) is not None: + if self._get_agent(user_id=user_id, agent_id=agent_id) is not None: # Can be triggered on concucrent request, so don't throw a full error logger.exception(f"Agent (user={user_id}, agent={agent_id}) is already loaded") return @@ -225,42 +245,56 @@ def _add_agent(self, user_id: str, agent_id: str, agent_obj: Agent) -> None: def _load_agent(self, user_id: str, agent_id: str, interface: Union[AgentInterface, None] = None) -> Agent: """Loads a saved agent into memory (if it doesn't exist, throw an error)""" + assert isinstance(user_id, str), user_id + assert isinstance(agent_id, str), agent_id + # If an interface isn't specified, use the default if interface is None: interface = self.default_interface_factory() try: - logger.info(f"Grabbing agent {user_id=} {agent_id=} from database") - agent_state = self.ms.get_agent(id=agent_id, user_id=user_id) + logger.info(f"Grabbing agent user_id={user_id} agent_id={agent_id} from database") + agent_state = self.ms.get_agent(agent_id=agent_id, user_id=user_id) if not agent_state: - logger.exception(f"{agent_id=} does not exist") - raise ValueError(f"{agent_id=} does not exist") + logger.exception(f"agent_id {agent_id} does not exist") + raise ValueError(f"agent_id {agent_id} does not exist") + + # Instantiate an agent object using the state retrieved + logger.info(f"Creating an agent object") + tool_objs = [] + for name in agent_state.tools: + tool_obj = self.ms.get_tool(tool_name=name, user_id=user_id) + if not tool_obj: + logger.exception(f"Tool {name} does not exist for user {user_id}") + raise ValueError(f"Tool {name} does not exist for user {user_id}") + tool_objs.append(tool_obj) - tool_objs = agent_state.tools - agent_state.tools = [t.name for t in tool_objs] # Make sure the memory is a memory object assert isinstance(agent_state.memory, Memory) - # Instantiate an agent object using the state retrieved - logger.info(f"Creating an agent object in memory") memgpt_agent = Agent(agent_state=agent_state, interface=interface, tools=tool_objs) # Add the agent to the in-memory store and return its reference - logger.info(f"Adding agent to the agent cache: {user_id=}, {agent_id=}") - self._add_agent(user_id, agent_id=agent_id, agent_obj=memgpt_agent) + logger.info(f"Adding agent to the agent cache: user_id={user_id}, agent_id={agent_id}") + self._add_agent(user_id=user_id, agent_id=agent_id, agent_obj=memgpt_agent) return memgpt_agent except Exception as e: logger.exception(f"Error occurred while trying to get agent {agent_id}:\n{e}") raise - def _get_or_load_agent(self, agent_id: str, user_id: Optional[str] = None) -> Agent: + def _get_or_load_agent(self, agent_id: str) -> Agent: """Check if the agent is in-memory, then load""" - logger.debug(f"Checking for agent {user_id=} {agent_id=}") + agent_state = self.ms.get_agent(agent_id=agent_id) + if not agent_state: + raise ValueError(f"Agent does not exist") + user_id = agent_state.user_id + + logger.debug(f"Checking for agent user_id={user_id} agent_id={agent_id}") # TODO: consider disabling loading cached agents due to potential concurrency issues memgpt_agent = self._get_agent(user_id=user_id, agent_id=agent_id) if not memgpt_agent: - logger.debug(f"Agent not loaded, loading agent {user_id=} {agent_id=}") + logger.debug(f"Agent not loaded, loading agent user_id={user_id} agent_id={agent_id}") memgpt_agent = self._load_agent(user_id=user_id, agent_id=agent_id) return memgpt_agent @@ -360,7 +394,7 @@ def _command(self, user_id: str, agent_id: str, command: str) -> MemGPTUsageStat raise ValueError(command) # attach data to agent from source - source_connector = StorageConnector().get_storage_connector(TableType.PASSAGES, self.config, user_id=user_id, db_session=self.ms.db_session) + source_connector = StorageConnector.get_storage_connector(TableType.PASSAGES, self.config, user_id=user_id) memgpt_agent.attach_source(data_source, source_connector, self.ms) elif command.lower() == "dump" or command.lower().startswith("dump "): @@ -431,9 +465,7 @@ def _command(self, user_id: str, agent_id: str, command: str) -> MemGPTUsageStat text = command[len("rewrite ") :].strip() args = json_loads(memgpt_agent.messages[x].get("function_call").get("arguments")) args["message"] = text - memgpt_agent.messages[x].get("function_call").update( - {"arguments": json_dumps(args)} - ) + memgpt_agent.messages[x].get("function_call").update({"arguments": json_dumps(args)}) break # No skip options @@ -443,11 +475,11 @@ def _command(self, user_id: str, agent_id: str, command: str) -> MemGPTUsageStat elif command.lower() == "heartbeat": input_message = system.get_heartbeat() - self._step(user_id, agent_id=agent_id, input_message=input_message) + usage = self._step(user_id=user_id, agent_id=agent_id, input_message=input_message) elif command.lower() == "memorywarning": input_message = system.get_token_limit_warning() - self._step(user_id, agent_id=agent_id, input_message=input_message) + usage = self._step(user_id=user_id, agent_id=agent_id, input_message=input_message) if not usage: usage = MemGPTUsageStatistics() @@ -462,9 +494,9 @@ def user_message( timestamp: Optional[datetime] = None, ) -> MemGPTUsageStatistics: """Process an incoming user message and feed it through the MemGPT agent""" - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Basic input sanitization @@ -500,7 +532,7 @@ def user_message( ) # Run the agent state forward - usage = self._step(user_id, agent_id=agent_id, input_message=packaged_user_message, timestamp=timestamp) + usage = self._step(user_id=user_id, agent_id=agent_id, input_message=packaged_user_message, timestamp=timestamp) return usage def system_message( @@ -511,9 +543,9 @@ def system_message( timestamp: Optional[datetime] = None, ) -> MemGPTUsageStatistics: """Process an incoming system message and feed it through the MemGPT agent""" - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Basic input sanitization @@ -567,16 +599,16 @@ def system_message( # @LockingServer.agent_lock_decorator def run_command(self, user_id: str, agent_id: str, command: str) -> MemGPTUsageStatistics: """Run a command on the agent""" - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # If the input begins with a command prefix, attempt to process it as a command if command.startswith("/"): if len(command) > 1: command = command[1:] # strip the prefix - return self._command(user_id, agent_id=agent_id, command=command) + return self._command(user_id=user_id, agent_id=agent_id, command=command) def list_users_paginated(self, cursor: str, limit: int) -> List[User]: """List all users""" @@ -586,21 +618,10 @@ def list_users_paginated(self, cursor: str, limit: int) -> List[User]: def create_user(self, request: UserCreate) -> User: """Create a new user using a config""" - if not isinstance(user_config, dict): - raise ValueError(f"user_config must be provided as a dictionary") - - if "id" in user_config: - existing_user = self.ms.get_user(user_config["id"]) - if existing_user: - if exists_ok: - # presets.add_default_humans_and_personas(existing_user.id, self.ms) - return existing_user - else: - raise ValueError(f"User with ID {existing_user.id} already exists") - - user = User( - id=user_config["id"] if "id" in user_config else None, - ) + if not request.name: + # auto-generate a name + request.name = create_random_username() + user = User(name=request.name) self.ms.create_user(user) logger.info(f"Created new user from config: {user}") @@ -619,8 +640,8 @@ def create_agent( interface: Union[AgentInterface, None] = None, ) -> AgentState: """Create a new agent using a config""" - # if user := self.ms.get_user(user_id): - # raise ValueError(f"cannot find user with associated id: {user_id}") + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") if interface is None: interface = self.default_interface_factory() @@ -634,7 +655,11 @@ def create_agent( # TODO: don't hardcode request.system = gpt_system.get_system_text("memgpt_chat") - agent = None + logger.debug(f"Attempting to find user: {user_id}") + user = self.ms.get_user(user_id=user_id) + if not user: + raise ValueError(f"cannot find user with associated client id: {user_id}") + try: # model configuration llm_config = request.llm_config if request.llm_config else self.server_llm_config @@ -643,14 +668,15 @@ def create_agent( # get tools + make sure they exist tool_objs = [] for tool_name in request.tools: - tool_obj = self.ms.get_tool(name=tool_name, user_id=user_id) + tool_obj = self.ms.get_tool(tool_name=tool_name, user_id=user_id) assert tool_obj, f"Tool {tool_name} does not exist" tool_objs.append(tool_obj) + # TODO: save the agent state agent_state = AgentState( name=request.name, user_id=user_id, - tools=request.tools, + tools=request.tools, # name=id for tools llm_config=llm_config, embedding_config=embedding_config, system=request.system, @@ -658,14 +684,6 @@ def create_agent( description=request.description, metadata_=request.metadata_, ) - - try: - sql_state = self.ms.create_agent(agent_state) - agent_state.id = sql_state._id - except Exception as e: - logger.exception(e) - raise e - agent = Agent( interface=interface, agent_state=agent_state, @@ -673,9 +691,13 @@ def create_agent( # gpt-3.5-turbo tends to omit inner monologue, relax this requirement for now first_message_verify_mono=True if (llm_config.model is not None and "gpt-4" in llm_config.model) else False, ) - - logger.info(f"Created new agent from config: {agent}") - save_agent(agent, self.ms) + # rebuilding agent memory on agent create in case shared memory blocks + # were specified in the new agent's memory config. we're doing this for two reasons: + # 1. if only the ID of the shared memory block was specified, we can fetch its most recent value + # 2. if the shared block state changed since this agent initialization started, we can be sure to have the latest value + agent.rebuild_memory(force=True, ms=self.ms) + # FIXME: this is a hacky way to get the system prompts injected into agent into the DB + # self.ms.update_agent(agent.agent_state) except Exception as e: logger.exception(e) try: @@ -685,8 +707,12 @@ def create_agent( logger.exception(f"Failed to delete_agent:\n{delete_e}") raise e - assert isinstance(agent.agent_state.memory, Memory), f"Invalid memory type: {type(agent_state.memory)}" + # save agent + save_agent(agent, self.ms) + logger.info(f"Created new agent from config: {agent}") + assert isinstance(agent.agent_state.memory, Memory), f"Invalid memory type: {type(agent_state.memory)}" + # return AgentState return agent.agent_state def update_agent( @@ -695,9 +721,9 @@ def update_agent( user_id: str, ): """Update the agents core memory block, return the new state""" - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") - if self.ms.get_agent(id=request.id) is None: + if self.ms.get_agent(agent_id=request.id) is None: raise ValueError(f"Agent agent_id={request.id} does not exist") # Get the agent object (loaded in memory) @@ -727,7 +753,7 @@ def update_agent( # (1) get tools + make sure they exist tool_objs = [] for tool_name in request.tools: - tool_obj = self.ms.get_tool(name=tool_name, user_id=user_id) + tool_obj = self.ms.get_tool(tool_name=tool_name, user_id=user_id) assert tool_obj, f"Tool {tool_name} does not exist" tool_objs.append(tool_obj) @@ -768,9 +794,16 @@ def _agent_state_to_config(self, agent_state: AgentState) -> dict: } return agent_config - def list_agents(self, user_id: str = None) -> List[AgentState]: + def list_agents( + self, + user_id: str, + ) -> List[AgentState]: """List all available agents to a user""" - return self.ms.list_agents(id=user_id) + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + + agents_states = self.ms.list_agents(user_id=user_id) + return agents_states # TODO make return type pydantic def list_agents_legacy( @@ -778,8 +811,12 @@ def list_agents_legacy( user_id: str, ) -> dict: """List all available agents to a user""" - if self.ms.get_user(id=user_id) is None: - raise ValueError(f"User {user_id} does not exist") + + if user_id is None: + agents_states = self.ms.list_all_agents() + else: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") agents_states = self.ms.list_agents(user_id=user_id) @@ -787,13 +824,13 @@ def list_agents_legacy( # TODO add a get_message_obj_from_message_id(...) function # this would allow grabbing Message.created_by without having to load the agent object - # all_available_tools = self.ms.list_tools(user_id) # TODO: add back when user-specific - all_available_tools = self.ms.list_tools() + # all_available_tools = self.ms.list_tools(user_id=user_id) # TODO: add back when user-specific + self.ms.list_tools() for agent_state, return_dict in zip(agents_states, agents_states_dicts): # Get the agent object (loaded in memory) - memgpt_agent = self._get_or_load_agent(user_id=user_id, agent_id=agent_state.id) + memgpt_agent = self._get_or_load_agent(user_id=agent_state.user_id, agent_id=agent_state.id) # TODO remove this eventually when return type get pydanticfied # this is to add persona_name and human_name so that the columns in UI can populate @@ -811,7 +848,7 @@ def list_agents_legacy( # get tool info from agent state tools = [] for tool_name in agent_state.tools: - tool = self.ms.get_tool(name=tool_name, user_id=user_id) + tool = self.ms.get_tool(tool_name=tool_name, user_id=user_id) tools.append(tool) return_dict["tools"] = tools @@ -834,7 +871,7 @@ def list_agents_legacy( # Add information about attached sources sources_ids = self.ms.list_attached_sources(agent_id=agent_state.id) - sources = [self.ms.get_source(id=s_id) for s_id in sources_ids] + sources = [self.ms.get_source(source_id=s_id) for s_id in sources_ids] return_dict["sources"] = [vars(s) for s in sources] # Sort agents by "last_run" in descending order, most recent first @@ -857,7 +894,8 @@ def get_blocks( id: Optional[str] = None, ): - return self.ms.get_blocks(user_id=user_id, label=label, template=template, name=name, id=id) + # return self.ms.get_blocks(user_id=user_id, label=label, template=template, name=name, id=id) + return self.ms.list_blocks(user_id=user_id, label=label, template=template, name=name, id=id) def get_block(self, block_id: str): @@ -903,7 +941,7 @@ def get_agent_id(self, name: str, user_id: str): return agent_state.id def get_source(self, source_id: str, user_id: str) -> Source: - existing_source = self.ms.get_source(id=source_id, user_id=user_id) + existing_source = self.ms.get_source(source_id=source_id, user_id=user_id) if not existing_source: raise ValueError("Source does not exist") return existing_source @@ -916,16 +954,16 @@ def get_source_id(self, source_name: str, user_id: str) -> str: def get_agent(self, user_id: str, agent_id: str, agent_name: Optional[str] = None): """Get the agent state""" - return self.ms.get_agent(id=agent_id, user_id=user_id) + return self.ms.get_agent(agent_id=agent_id, user_id=user_id) def get_user(self, user_id: str) -> User: """Get the user""" return self.ms.get_user(user_id) - + def get_user_default(self) -> User: """Get the user""" return SQLUser.default(db_session=self.ms.db_session) - + def get_agent_memory(self, agent_id: str) -> Memory: """Return the memory of an agent (core memory)""" agent = self._get_or_load_agent(agent_id=agent_id) @@ -1005,14 +1043,13 @@ def get_agent_messages(self, agent_id: str, start: int, count: int) -> List[Mess def get_agent_archival(self, user_id: str, agent_id: str, start: int, count: int) -> List[Passage]: """Paginated query of all messages in agent archival memory""" - if self.ms.get_user(id=user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) memgpt_agent = self._get_or_load_agent(agent_id=agent_id) - memgpt_agent = self._get_or_load_agent(agent_id=agent_id) # iterate over records db_iterator = memgpt_agent.persistence_manager.archival_memory.storage.get_all_paginated(page_size=count, offset=start) @@ -1031,9 +1068,9 @@ def get_agent_archival_cursor( order_by: Optional[str] = "created_at", reverse: Optional[bool] = False, ) -> List[Passage]: - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) @@ -1046,27 +1083,13 @@ def get_agent_archival_cursor( return records def insert_archival_memory(self, user_id: str, agent_id: str, memory_contents: str) -> List[Passage]: - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) - memgpt_agent = self._get_or_load_agent(user_id=user_id, agent_id=agent_id) - - # Assume passages - records = memgpt_agent.persistence_manager.archival_memory.storage.get_all() - - return [dict(id=str(r.id), contents=r.text) for r in records] - - def insert_archival_memory(self, user_id: uuid.UUID, agent_id: uuid.UUID, memory_contents: str) -> uuid.UUID: - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: - raise ValueError(f"Agent agent_id={agent_id} does not exist") - - # Get the agent object (loaded in memory) - memgpt_agent = self._get_or_load_agent(user_id=user_id, agent_id=agent_id) + memgpt_agent = self._get_or_load_agent(agent_id=agent_id) # Insert into archival memory passage_ids = memgpt_agent.persistence_manager.archival_memory.insert(memory_string=memory_contents, return_ids=True) @@ -1075,9 +1098,9 @@ def insert_archival_memory(self, user_id: uuid.UUID, agent_id: uuid.UUID, memory return [memgpt_agent.persistence_manager.archival_memory.storage.get(id=passage_id) for passage_id in passage_ids] def delete_archival_memory(self, user_id: str, agent_id: str, memory_id: str): - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # TODO: should return a passage @@ -1102,9 +1125,9 @@ def get_agent_recall_cursor( order: Optional[str] = "asc", reverse: Optional[bool] = False, ) -> List[Message]: - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) @@ -1118,10 +1141,10 @@ def get_agent_recall_cursor( def get_agent_state(self, user_id: str, agent_id: Optional[str], agent_name: Optional[str] = None) -> Optional[AgentState]: """Return the config of an agent""" - if self.ms.get_user(id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: raise ValueError(f"User user_id={user_id} does not exist") if agent_id: - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: return None else: agent_state = self.ms.get_agent(agent_name=agent_name, user_id=user_id) @@ -1184,17 +1207,15 @@ def get_available_models(self) -> List[LLMConfig]: def update_agent_core_memory(self, user_id: str, agent_id: str, new_memory_contents: dict) -> Memory: """Update the agents core memory block, return the new state""" - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) - memgpt_agent = self._get_or_load_agent(user_id=user_id, agent_id=agent_id) + memgpt_agent = self._get_or_load_agent(agent_id=agent_id) - # TODO: - # old_core_memory = self.get_agent_memory(agent_id=agent_id)["core_memory"] - # new_core_memory = old_core_memory.copy() + # old_core_memory = self.get_agent_memory(agent_id=agent_id) modified = False for key, value in new_memory_contents.items(): @@ -1213,13 +1234,13 @@ def update_agent_core_memory(self, user_id: str, agent_id: str, new_memory_conte # save agent save_agent(memgpt_agent, self.ms) - return self.ms.get_agent(id=agent_id).memory + return self.ms.get_agent(agent_id=agent_id).memory def rename_agent(self, user_id: str, agent_id: str, new_agent_name: str) -> AgentState: """Update the name of the agent in the database""" - if self.ms.get_user(user_id) is None: - raise ValueError(f"User {user_id} does not exist") - if self.ms.get_agent(id=agent_id, user_id=user_id) is None: + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: raise ValueError(f"Agent agent_id={agent_id} does not exist") # Get the agent object (loaded in memory) @@ -1245,15 +1266,17 @@ def delete_user(self, user_id: str): def delete_agent(self, user_id: str, agent_id: str): """Delete an agent in the database""" - if self.ms.get_user(id=user_id) is None: - raise ValueError(f"{user_id=} does not exist") - - # Raises a NoResultFound error if not found - agent_state = self.ms.get_agent(id=agent_id, user_id=user_id) + if self.ms.get_user(user_id=user_id) is None: + raise ValueError(f"User user_id={user_id} does not exist") + if self.ms.get_agent(agent_id=agent_id, user_id=user_id) is None: + raise ValueError(f"Agent agent_id={agent_id} does not exist") - # TODO: create_agent via RESTClient never passes in user_id - # if agent_state.user_id != user_id: - # raise ValueError(f"Could not authorize {agent_id=} with {user_id=}") + # Verify that the agent exists and is owned by the user + agent_state = self.ms.get_agent(agent_id=agent_id, user_id=user_id) + if not agent_state: + raise ValueError(f"Could not find agent_id={agent_id} under user_id={user_id}") + if agent_state.user_id != user_id: + raise ValueError(f"Could not authorize agent_id={agent_id} with user_id={user_id}") # First, if the agent is in the in-memory cache we should remove it # List of {'user_id': user_id, 'agent_id': agent_id, 'agent': agent_obj} dicts @@ -1265,7 +1288,7 @@ def delete_agent(self, user_id: str, agent_id: str): # Next, attempt to delete it from the actual database try: - agent_state.to_sqlalchemy(self.ms.db_session).delete(self.ms.db_session) + self.ms.delete_agent(agent_id=agent_id) except Exception as e: logger.exception(f"Failed to delete agent {agent_id} via ID with:\n{str(e)}") raise ValueError(f"Failed to delete agent {agent_id} in database") @@ -1284,7 +1307,9 @@ def api_key_to_user(self, api_key: str) -> str: def create_api_key(self, request: APIKeyCreate) -> APIKey: # TODO: add other fields """Create a new API key for a user""" - token = self.ms.create_api_key(request.user_id) + if request.name is None: + request.name = f"API Key {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}" + token = self.ms.create_api_key(user_id=request.user_id, name=request.name) return token def list_api_keys(self, user_id: str) -> List[APIKey]: @@ -1314,7 +1339,7 @@ def update_source(self, request: SourceUpdate, user_id: str) -> Source: if not request.id: existing_source = self.ms.get_source(source_name=request.name, user_id=user_id) else: - existing_source = self.ms.get_source(id=request.id) + existing_source = self.ms.get_source(source_id=request.id) if not existing_source: raise ValueError("Source does not exist") @@ -1331,7 +1356,7 @@ def update_source(self, request: SourceUpdate, user_id: str) -> Source: def delete_source(self, source_id: str, user_id: str): """Delete a data source""" - source = self.ms.get_source(id=source_id, user_id=user_id) + source = self.ms.get_source(source_id=source_id, user_id=user_id) self.ms.delete_source(source_id) # delete data from passage store @@ -1376,7 +1401,7 @@ def load_file_to_source(self, source_id: str, file_path: str, job_id: str) -> Jo # try: from memgpt.data_sources.connectors import DirectoryConnector - source = self.ms.get_source(id=source_id) + source = self.ms.get_source(source_id=source_id) connector = DirectoryConnector(input_files=[file_path]) num_passages, num_documents = self.load_data(user_id=source.user_id, source_name=source.name, connector=connector) # except Exception as e: @@ -1414,7 +1439,7 @@ def load_data( raise ValueError(f"Data source {source_name} does not exist for user {user_id}") # get the data connectors - passage_store = StorageConnector.get_storage_connector(TableType.PASSAGES, self.config, user_id=user_id, db_session=self.ms.db_session) + passage_store = StorageConnector.get_storage_connector(TableType.PASSAGES, self.config, user_id=user_id) # TODO: add document store support document_store = None # StorageConnector.get_storage_connector(TableType.DOCUMENTS, self.config, user_id=user_id) @@ -1431,7 +1456,7 @@ def attach_source_to_agent( source_name: Optional[str] = None, ) -> Source: # attach a data source to an agent - data_source = self.ms.get_source(id=source_id, user_id=user_id, source_name=source_name) + data_source = self.ms.get_source(source_id=source_id, user_id=user_id, source_name=source_name) if data_source is None: raise ValueError(f"Data source id={source_id} name={source_name} does not exist for user_id {user_id}") @@ -1455,7 +1480,18 @@ def detach_source_from_agent( source_name: Optional[str] = None, ) -> Source: # TODO: remove all passages coresponding to source from agent's archival memory - raise NotImplementedError + if not source_id: + assert source_name is not None, "source_name must be provided if source_id is not" + source = self.ms.get_source(source_name=source_name, user_id=user_id) + source_id = source.id + else: + source = self.ms.get_source(source_id=source_id) + + # delete all Passage objects with source_id==source_id from agent's archival memory + agent = self._get_or_load_agent(agent_id=agent_id) + archival_memory = agent.persistence_manager.archival_memory + archival_memory.storage.delete({"source_id": source_id}) + return source def list_attached_sources(self, agent_id: str) -> List[Source]: # list all attached sources to an agent @@ -1472,7 +1508,7 @@ def list_data_source_documents(self, user_id: str, source_id: str) -> List[Docum def list_all_sources(self, user_id: str) -> List[Source]: """List all sources (w/ extra metadata) belonging to a user""" - sources = self.ms.list_sources(user_id) + sources = self.ms.list_sources(user_id=user_id) # Add extra metadata to the sources sources_with_metadata = [] @@ -1480,7 +1516,12 @@ def list_all_sources(self, user_id: str) -> List[Source]: # count number of passages passage_conn = StorageConnector.get_storage_connector(TableType.PASSAGES, self.config, user_id=user_id) - num_passages = passage_conn.size({"data_source": source.name}) + num_passages = passage_conn.size({"source_id": source.id}) + + # TODO: add when documents table implemented + ## count number of documents + # document_conn = StorageConnector.get_storage_connector(TableType.DOCUMENTS, self.config, user_id=user_id) + # num_documents = document_conn.size({"data_source": source.name}) num_documents = 0 agent_ids = self.ms.list_attached_agents(source_id=source.id) @@ -1488,7 +1529,7 @@ def list_all_sources(self, user_id: str) -> List[Source]: attached_agents = [ { "id": str(a_id), - "name": self.ms.get_agent(id=a_id).name, + "name": self.ms.get_agent(user_id=user_id, agent_id=a_id).name, } for a_id in agent_ids ] @@ -1506,11 +1547,11 @@ def list_all_sources(self, user_id: str) -> List[Source]: def get_tool(self, tool_id: str) -> Tool: """Get tool by ID.""" - return self.ms.get_tool(id=tool_id) + return self.ms.get_tool(tool_id=tool_id) def get_tool_id(self, name: str, user_id: str) -> str: """Get tool ID from name and user_id.""" - tool = self.ms.get_tool(name=name, user_id=user_id) + tool = self.ms.get_tool(tool_name=name, user_id=user_id) if not tool: return None return tool.id @@ -1520,7 +1561,24 @@ def update_tool( request: ToolUpdate, ) -> Tool: """Update an existing tool""" - return self.ms.update_tool(request) + existing_tool = self.ms.get_tool(tool_id=request.id) + if not existing_tool: + raise ValueError(f"Tool does not exist") + + # override updated fields + if request.source_code: + existing_tool.source_code = request.source_code + if request.source_type: + existing_tool.source_type = request.source_type + if request.tags: + existing_tool.tags = request.tags + if request.json_schema: + existing_tool.json_schema = request.json_schema + if request.name: + existing_tool.name = request.name + + self.ms.update_tool(existing_tool) + return self.ms.get_tool(tool_id=request.id) def create_tool(self, request: ToolCreate, user_id: Optional[str] = None, update: bool = True) -> Tool: # TODO: add other fields """Create a new tool""" @@ -1557,8 +1615,7 @@ def create_tool(self, request: ToolCreate, user_id: Optional[str] = None, update assert request.name, f"Tool name must be provided in json_schema {json_schema}. This should never happen." # check if already exists: - tool_name = request.json_schema["name"] - existing_tool = self.ms.get_tool(name=tool_name, user_id=user_id) + existing_tool = self.ms.get_tool(tool_name=request.name, user_id=user_id) if existing_tool: if update: updated_tool = self.update_tool(ToolUpdate(id=existing_tool.id, **vars(request))) @@ -1588,20 +1645,59 @@ def list_tools(self, user_id: str) -> List[Tool]: tools = self.ms.list_tools(user_id) return tools + def add_default_tools(self, module_name="base", user_id: Optional[str] = None): + """Add default tools in {module_name}.py""" + full_module_name = f"memgpt.functions.function_sets.{module_name}" + try: + module = importlib.import_module(full_module_name) + except Exception as e: + # Handle other general exceptions + raise e + + try: + # Load the function set + functions_to_schema = load_function_set(module) + except ValueError as e: + err = f"Error loading function set '{module_name}': {e}" + + # create tool in db + for name, schema in functions_to_schema.items(): + # print([str(inspect.getsource(line)) for line in schema["imports"]]) + source_code = inspect.getsource(schema["python_function"]) + tags = [module_name] + if module_name == "base": + tags.append("memgpt-base") + + # create to tool + self.create_tool( + ToolCreate( + name=name, + tags=tags, + source_type="python", + module=schema["module"], + source_code=source_code, + json_schema=schema["json_schema"], + user_id=user_id, + ), + update=True, + ) + def add_default_blocks(self, user_id: str): - from memgpt.utils import list_human_files, list_persona_files, get_human_text, get_persona_text + from memgpt.utils import list_human_files, list_persona_files assert user_id is not None, "User ID must be provided" for persona_file in list_persona_files(): - text = get_persona_text(persona_file.stem) - self.create_block(CreatePersona(user_id=user_id, name=persona_file.stem, value=text, template=True), user_id=user_id, update=True) + text = open(persona_file, "r", encoding="utf-8").read() + name = os.path.basename(persona_file).replace(".txt", "") + self.create_block(CreatePersona(user_id=user_id, name=name, value=text, template=True), user_id=user_id, update=True) for human_file in list_human_files(): - text = get_human_text(human_file.stem) - self.create_block(CreateHuman(user_id=user_id, name=human_file.stem, value=text, template=True), user_id=user_id, update=True) + text = open(human_file, "r", encoding="utf-8").read() + name = os.path.basename(human_file).replace(".txt", "") + self.create_block(CreateHuman(user_id=user_id, name=name, value=text, template=True), user_id=user_id, update=True) -def get_agent_message(self, agent_id: str, message_id: str) -> Message: + def get_agent_message(self, agent_id: str, message_id: str) -> Message: """Get a single message from the agent's memory""" # Get the agent object (loaded in memory) memgpt_agent = self._get_or_load_agent(agent_id=agent_id) diff --git a/poetry.lock b/poetry.lock index 334507a6b0..513dbf5b55 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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