53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
from abc import ABC, abstractmethod
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from typing import Any, AsyncGenerator, Optional
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import openai
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from letta.schemas.letta_message import UserMessage
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from letta.schemas.letta_response import LettaResponse
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from letta.schemas.user import User
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from letta.services.agent_manager import AgentManager
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from letta.services.message_manager import MessageManager
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class BaseAgent(ABC):
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"""
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Abstract base class for AI agents, handling message management, tool execution,
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and context tracking.
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"""
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def __init__(
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self,
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agent_id: str,
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# TODO: Make required once client refactor hits
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openai_client: Optional[openai.AsyncClient],
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message_manager: MessageManager,
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agent_manager: AgentManager,
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actor: User,
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):
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self.agent_id = agent_id
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self.openai_client = openai_client
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self.message_manager = message_manager
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self.agent_manager = agent_manager
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self.actor = actor
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@abstractmethod
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async def step(self, input_message: UserMessage, max_steps: int = 10) -> LettaResponse:
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"""
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Main execution loop for the agent.
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"""
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raise NotImplementedError
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@abstractmethod
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async def step_stream(self, input_message: UserMessage, max_steps: int = 10) -> AsyncGenerator[str, None]:
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"""
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Main async execution loop for the agent. Implementations must yield messages as SSE events.
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"""
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raise NotImplementedError
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def pre_process_input_message(self, input_message: UserMessage) -> Any:
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"""
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Pre-process function to run on the input_message.
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"""
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return input_message.model_dump()
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