9471fab2cf
The LettaAgentV3 (and LettaAgentV2) agents inherit from BaseAgentV2, which unlike the original BaseAgent class, did not expose an agent_id attribute. This caused AttributeError: 'LettaAgentV3' object has no attribute 'agent_id' when code attempted to access self.agent_id. This fix adds an agent_id property to BaseAgentV2 that returns self.agent_state.id, maintaining backward compatibility with code that expects the self.agent_id interface from the original BaseAgent. Closes #8805 🤖 Generated with [Letta Code](https://letta.com) Co-authored-by: letta-code <248085862+letta-code@users.noreply.github.com> Co-authored-by: Letta <noreply@letta.com>
92 lines
3.6 KiB
Python
92 lines
3.6 KiB
Python
from abc import ABC, abstractmethod
|
|
from typing import TYPE_CHECKING, AsyncGenerator
|
|
|
|
from letta.constants import DEFAULT_MAX_STEPS
|
|
from letta.log import get_logger
|
|
from letta.schemas.agent import AgentState
|
|
from letta.schemas.enums import MessageStreamStatus
|
|
from letta.schemas.letta_message import LegacyLettaMessage, LettaMessage, MessageType
|
|
from letta.schemas.letta_response import LettaResponse
|
|
from letta.schemas.message import MessageCreate
|
|
from letta.schemas.user import User
|
|
|
|
if TYPE_CHECKING:
|
|
from letta.schemas.letta_request import ClientToolSchema
|
|
|
|
|
|
class BaseAgentV2(ABC):
|
|
"""
|
|
Abstract base class for the main agent execution loop for letta agents, handling
|
|
message management, llm api request, tool execution, and context tracking.
|
|
"""
|
|
|
|
def __init__(self, agent_state: AgentState, actor: User):
|
|
self.agent_state = agent_state
|
|
self.actor = actor
|
|
self.logger = get_logger(agent_state.id)
|
|
|
|
@property
|
|
def agent_id(self) -> str:
|
|
"""Return the agent ID for backward compatibility with code expecting self.agent_id."""
|
|
return self.agent_state.id
|
|
|
|
@abstractmethod
|
|
async def build_request(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
) -> dict:
|
|
"""
|
|
Execute the agent loop in dry_run mode, returning just the generated request
|
|
payload sent to the underlying llm provider.
|
|
"""
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
async def step(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
max_steps: int = DEFAULT_MAX_STEPS,
|
|
run_id: str | None = None,
|
|
use_assistant_message: bool = True,
|
|
include_return_message_types: list[MessageType] | None = None,
|
|
request_start_timestamp_ns: int | None = None,
|
|
client_tools: list["ClientToolSchema"] | None = None,
|
|
include_compaction_messages: bool = False, # Not used in V2, but accepted for API compatibility
|
|
) -> LettaResponse:
|
|
"""
|
|
Execute the agent loop in blocking mode, returning all messages at once.
|
|
|
|
Args:
|
|
client_tools: Optional list of client-side tools. When called, execution pauses
|
|
for client to provide tool returns.
|
|
include_compaction_messages: Not used in V2, but accepted for API compatibility.
|
|
"""
|
|
raise NotImplementedError
|
|
|
|
@abstractmethod
|
|
async def stream(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
max_steps: int = DEFAULT_MAX_STEPS,
|
|
stream_tokens: bool = False,
|
|
run_id: str | None = None,
|
|
use_assistant_message: bool = True,
|
|
include_return_message_types: list[MessageType] | None = None,
|
|
request_start_timestamp_ns: int | None = None,
|
|
conversation_id: str | None = None,
|
|
client_tools: list["ClientToolSchema"] | None = None,
|
|
include_compaction_messages: bool = False, # Not used in V2, but accepted for API compatibility
|
|
) -> AsyncGenerator[LettaMessage | LegacyLettaMessage | MessageStreamStatus, None]:
|
|
"""
|
|
Execute the agent loop in streaming mode, yielding chunks as they become available.
|
|
If stream_tokens is True, individual tokens are streamed as they arrive from the LLM,
|
|
providing the lowest latency experience, otherwise each complete step (reasoning +
|
|
tool call + tool return) is yielded as it completes.
|
|
|
|
Args:
|
|
client_tools: Optional list of client-side tools. When called, execution pauses
|
|
for client to provide tool returns.
|
|
include_compaction_messages: Not used in V2, but accepted for API compatibility.
|
|
"""
|
|
raise NotImplementedError
|