62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
from typing import List, Optional, Union
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from letta.agent import Agent, AgentState, save_agent
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from letta.interface import AgentInterface
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from letta.orm import User
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from letta.schemas.message import Message
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from letta.schemas.openai.chat_completion_response import UsageStatistics
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from letta.schemas.usage import LettaUsageStatistics
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class SleeptimeAgent(Agent):
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def __init__(
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self,
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interface: AgentInterface,
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agent_state: AgentState,
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user: User = None,
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# extras
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first_message_verify_mono: bool = False,
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max_memory_rethinks: int = 10,
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):
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super().__init__(interface, agent_state, user)
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self.first_message_verify_mono = first_message_verify_mono
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self.max_memory_rethinks = max_memory_rethinks
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def step(
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self,
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messages: Union[Message, List[Message]],
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chaining: bool = True,
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max_chaining_steps: Optional[int] = None,
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**kwargs,
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) -> LettaUsageStatistics:
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"""Go through what is currently in memory core memory and integrate information."""
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next_input_message = messages if isinstance(messages, list) else [messages]
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counter = 0
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total_usage = UsageStatistics()
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step_count = 0
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while counter < self.max_memory_rethinks:
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if counter > 0:
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next_input_message = []
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kwargs["first_message"] = False
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step_response = self.inner_step(
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messages=next_input_message,
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**kwargs,
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)
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for message in step_response.messages:
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if message.tool_calls:
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for tool_call in message.tool_calls:
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# check if the function name is "finish_rethinking_memory"
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if tool_call.function.name == "finish_rethinking_memory":
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counter = self.max_memory_rethinks
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break
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usage = step_response.usage
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step_count += 1
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total_usage += usage
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counter += 1
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self.interface.step_complete()
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save_agent(self)
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return LettaUsageStatistics(**total_usage.model_dump(), step_count=step_count)
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