25d54dd896
* auto fixes * auto fix pt2 and transitive deps and undefined var checking locals() * manual fixes (ignored or letta-code fixed) * fix circular import
336 lines
14 KiB
Python
336 lines
14 KiB
Python
from collections.abc import AsyncGenerator
|
|
from datetime import datetime, timezone
|
|
|
|
from letta.agents.base_agent import BaseAgent
|
|
from letta.agents.letta_agent import LettaAgent
|
|
from letta.constants import DEFAULT_MAX_STEPS
|
|
from letta.groups.helpers import stringify_message
|
|
from letta.otel.tracing import trace_method
|
|
from letta.schemas.enums import JobStatus
|
|
from letta.schemas.group import Group, ManagerType
|
|
from letta.schemas.job import JobUpdate
|
|
from letta.schemas.letta_message import MessageType
|
|
from letta.schemas.letta_message_content import TextContent
|
|
from letta.schemas.letta_response import LettaResponse
|
|
from letta.schemas.message import Message, MessageCreate
|
|
from letta.schemas.run import Run
|
|
from letta.schemas.user import User
|
|
from letta.services.agent_manager import AgentManager
|
|
from letta.services.block_manager import BlockManager
|
|
from letta.services.group_manager import GroupManager
|
|
from letta.services.job_manager import JobManager
|
|
from letta.services.message_manager import MessageManager
|
|
from letta.services.passage_manager import PassageManager
|
|
from letta.services.step_manager import NoopStepManager, StepManager
|
|
from letta.services.telemetry_manager import NoopTelemetryManager, TelemetryManager
|
|
from letta.utils import safe_create_task
|
|
|
|
|
|
class SleeptimeMultiAgentV2(BaseAgent):
|
|
def __init__(
|
|
self,
|
|
agent_id: str,
|
|
message_manager: MessageManager,
|
|
agent_manager: AgentManager,
|
|
block_manager: BlockManager,
|
|
passage_manager: PassageManager,
|
|
group_manager: GroupManager,
|
|
job_manager: JobManager,
|
|
actor: User,
|
|
step_manager: StepManager = NoopStepManager(),
|
|
telemetry_manager: TelemetryManager = NoopTelemetryManager(),
|
|
group: Group | None = None,
|
|
current_run_id: str | None = None,
|
|
):
|
|
super().__init__(
|
|
agent_id=agent_id,
|
|
openai_client=None,
|
|
message_manager=message_manager,
|
|
agent_manager=agent_manager,
|
|
actor=actor,
|
|
)
|
|
self.block_manager = block_manager
|
|
self.passage_manager = passage_manager
|
|
self.group_manager = group_manager
|
|
self.job_manager = job_manager
|
|
self.step_manager = step_manager
|
|
self.telemetry_manager = telemetry_manager
|
|
self.current_run_id = current_run_id
|
|
# Group settings
|
|
assert group.manager_type == ManagerType.sleeptime, f"Expected group manager type to be 'sleeptime', got {group.manager_type}"
|
|
self.group = group
|
|
|
|
@trace_method
|
|
async def step(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
max_steps: int = DEFAULT_MAX_STEPS,
|
|
run_id: str | None = None,
|
|
use_assistant_message: bool = True,
|
|
request_start_timestamp_ns: int | None = None,
|
|
include_return_message_types: list[MessageType] | None = None,
|
|
) -> LettaResponse:
|
|
run_ids = []
|
|
|
|
# Prepare new messages
|
|
new_messages = []
|
|
for message in input_messages:
|
|
if isinstance(message.content, str):
|
|
message.content = [TextContent(text=message.content)]
|
|
message.group_id = self.group.id
|
|
new_messages.append(message)
|
|
|
|
# Load foreground agent
|
|
foreground_agent = LettaAgent(
|
|
agent_id=self.agent_id,
|
|
message_manager=self.message_manager,
|
|
agent_manager=self.agent_manager,
|
|
block_manager=self.block_manager,
|
|
job_manager=self.job_manager,
|
|
passage_manager=self.passage_manager,
|
|
actor=self.actor,
|
|
step_manager=self.step_manager,
|
|
telemetry_manager=self.telemetry_manager,
|
|
current_run_id=self.current_run_id,
|
|
)
|
|
# Perform foreground agent step
|
|
response = await foreground_agent.step(
|
|
input_messages=new_messages,
|
|
max_steps=max_steps,
|
|
run_id=run_id,
|
|
use_assistant_message=use_assistant_message,
|
|
include_return_message_types=include_return_message_types,
|
|
)
|
|
|
|
# Get last response messages
|
|
last_response_messages = foreground_agent.response_messages
|
|
|
|
# Update turns counter
|
|
if self.group.sleeptime_agent_frequency is not None and self.group.sleeptime_agent_frequency > 0:
|
|
turns_counter = await self.group_manager.bump_turns_counter_async(group_id=self.group.id, actor=self.actor)
|
|
|
|
# Perform participant steps
|
|
if self.group.sleeptime_agent_frequency is None or (
|
|
turns_counter is not None and turns_counter % self.group.sleeptime_agent_frequency == 0
|
|
):
|
|
last_processed_message_id = await self.group_manager.get_last_processed_message_id_and_update_async(
|
|
group_id=self.group.id, last_processed_message_id=last_response_messages[-1].id, actor=self.actor
|
|
)
|
|
for participant_agent_id in self.group.agent_ids:
|
|
try:
|
|
run_id = await self._issue_background_task(
|
|
participant_agent_id,
|
|
last_response_messages,
|
|
last_processed_message_id,
|
|
use_assistant_message,
|
|
)
|
|
run_ids.append(run_id)
|
|
|
|
except Exception as e:
|
|
# Individual task failures
|
|
print(f"Agent processing failed: {e!s}")
|
|
raise e
|
|
|
|
response.usage.run_ids = run_ids
|
|
return response
|
|
|
|
@trace_method
|
|
async def step_stream_no_tokens(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
max_steps: int = DEFAULT_MAX_STEPS,
|
|
use_assistant_message: bool = True,
|
|
request_start_timestamp_ns: int | None = None,
|
|
include_return_message_types: list[MessageType] | None = None,
|
|
):
|
|
response = await self.step(
|
|
input_messages=input_messages,
|
|
max_steps=max_steps,
|
|
use_assistant_message=use_assistant_message,
|
|
request_start_timestamp_ns=request_start_timestamp_ns,
|
|
include_return_message_types=include_return_message_types,
|
|
)
|
|
|
|
for message in response.messages:
|
|
yield f"data: {message.model_dump_json()}\n\n"
|
|
|
|
for finish_chunk in self.get_finish_chunks_for_stream(response.usage):
|
|
yield f"data: {finish_chunk}\n\n"
|
|
|
|
@trace_method
|
|
async def step_stream(
|
|
self,
|
|
input_messages: list[MessageCreate],
|
|
max_steps: int = DEFAULT_MAX_STEPS,
|
|
use_assistant_message: bool = True,
|
|
request_start_timestamp_ns: int | None = None,
|
|
include_return_message_types: list[MessageType] | None = None,
|
|
) -> AsyncGenerator[str, None]:
|
|
# Prepare new messages
|
|
new_messages = []
|
|
for message in input_messages:
|
|
if isinstance(message.content, str):
|
|
message.content = [TextContent(text=message.content)]
|
|
message.group_id = self.group.id
|
|
new_messages.append(message)
|
|
|
|
# Load foreground agent
|
|
foreground_agent = LettaAgent(
|
|
agent_id=self.agent_id,
|
|
message_manager=self.message_manager,
|
|
agent_manager=self.agent_manager,
|
|
block_manager=self.block_manager,
|
|
job_manager=self.job_manager,
|
|
passage_manager=self.passage_manager,
|
|
actor=self.actor,
|
|
step_manager=self.step_manager,
|
|
telemetry_manager=self.telemetry_manager,
|
|
current_run_id=self.current_run_id,
|
|
)
|
|
# Perform foreground agent step
|
|
async for chunk in foreground_agent.step_stream(
|
|
input_messages=new_messages,
|
|
max_steps=max_steps,
|
|
use_assistant_message=use_assistant_message,
|
|
request_start_timestamp_ns=request_start_timestamp_ns,
|
|
include_return_message_types=include_return_message_types,
|
|
):
|
|
yield chunk
|
|
|
|
# Get response messages
|
|
last_response_messages = foreground_agent.response_messages
|
|
|
|
# Update turns counter
|
|
if self.group.sleeptime_agent_frequency is not None and self.group.sleeptime_agent_frequency > 0:
|
|
turns_counter = await self.group_manager.bump_turns_counter_async(group_id=self.group.id, actor=self.actor)
|
|
|
|
# Perform participant steps
|
|
if self.group.sleeptime_agent_frequency is None or (
|
|
turns_counter is not None and turns_counter % self.group.sleeptime_agent_frequency == 0
|
|
):
|
|
last_processed_message_id = await self.group_manager.get_last_processed_message_id_and_update_async(
|
|
group_id=self.group.id, last_processed_message_id=last_response_messages[-1].id, actor=self.actor
|
|
)
|
|
for sleeptime_agent_id in self.group.agent_ids:
|
|
run_id = await self._issue_background_task(
|
|
sleeptime_agent_id,
|
|
last_response_messages,
|
|
last_processed_message_id,
|
|
use_assistant_message,
|
|
)
|
|
|
|
async def _issue_background_task(
|
|
self,
|
|
sleeptime_agent_id: str,
|
|
response_messages: list[Message],
|
|
last_processed_message_id: str,
|
|
use_assistant_message: bool = True,
|
|
) -> str:
|
|
run = Run(
|
|
user_id=self.actor.id,
|
|
status=JobStatus.created,
|
|
metadata={
|
|
"job_type": "sleeptime_agent_send_message_async", # is this right?
|
|
"agent_id": sleeptime_agent_id,
|
|
},
|
|
)
|
|
run = await self.job_manager.create_job_async(pydantic_job=run, actor=self.actor)
|
|
|
|
safe_create_task(
|
|
self._participant_agent_step(
|
|
foreground_agent_id=self.agent_id,
|
|
sleeptime_agent_id=sleeptime_agent_id,
|
|
response_messages=response_messages,
|
|
last_processed_message_id=last_processed_message_id,
|
|
run_id=run.id,
|
|
use_assistant_message=True,
|
|
),
|
|
label=f"participant_agent_step_{sleeptime_agent_id}",
|
|
)
|
|
return run.id
|
|
|
|
async def _participant_agent_step(
|
|
self,
|
|
foreground_agent_id: str,
|
|
sleeptime_agent_id: str,
|
|
response_messages: list[Message],
|
|
last_processed_message_id: str,
|
|
run_id: str,
|
|
use_assistant_message: bool = True,
|
|
) -> str:
|
|
try:
|
|
# Update job status
|
|
job_update = JobUpdate(status=JobStatus.running)
|
|
await self.job_manager.update_job_by_id_async(job_id=run_id, job_update=job_update, actor=self.actor)
|
|
|
|
# Create conversation transcript
|
|
prior_messages = []
|
|
if self.group.sleeptime_agent_frequency:
|
|
try:
|
|
prior_messages = await self.message_manager.list_messages(
|
|
agent_id=foreground_agent_id,
|
|
actor=self.actor,
|
|
after=last_processed_message_id,
|
|
before=response_messages[0].id,
|
|
)
|
|
except Exception:
|
|
pass # continue with just latest messages
|
|
|
|
transcript_summary = [stringify_message(message) for message in prior_messages + response_messages]
|
|
transcript_summary = [summary for summary in transcript_summary if summary is not None]
|
|
message_text = "\n".join(transcript_summary)
|
|
|
|
sleeptime_agent_messages = [
|
|
MessageCreate(
|
|
role="user",
|
|
content=[TextContent(text=message_text)],
|
|
id=Message.generate_id(),
|
|
agent_id=sleeptime_agent_id,
|
|
group_id=self.group.id,
|
|
)
|
|
]
|
|
|
|
# Load sleeptime agent
|
|
sleeptime_agent = LettaAgent(
|
|
agent_id=sleeptime_agent_id,
|
|
message_manager=self.message_manager,
|
|
agent_manager=self.agent_manager,
|
|
block_manager=self.block_manager,
|
|
job_manager=self.job_manager,
|
|
passage_manager=self.passage_manager,
|
|
actor=self.actor,
|
|
step_manager=self.step_manager,
|
|
telemetry_manager=self.telemetry_manager,
|
|
current_run_id=self.current_run_id,
|
|
message_buffer_limit=20, # TODO: Make this configurable
|
|
message_buffer_min=8, # TODO: Make this configurable
|
|
enable_summarization=False, # TODO: Make this configurable
|
|
)
|
|
|
|
# Perform sleeptime agent step
|
|
result = await sleeptime_agent.step(
|
|
input_messages=sleeptime_agent_messages,
|
|
use_assistant_message=use_assistant_message,
|
|
run_id=run_id,
|
|
)
|
|
|
|
# Update job status
|
|
job_update = JobUpdate(
|
|
status=JobStatus.completed,
|
|
completed_at=datetime.now(timezone.utc).replace(tzinfo=None),
|
|
metadata={
|
|
"result": result.model_dump(mode="json"),
|
|
"agent_id": sleeptime_agent_id,
|
|
},
|
|
)
|
|
await self.job_manager.update_job_by_id_async(job_id=run_id, job_update=job_update, actor=self.actor)
|
|
return result
|
|
except Exception as e:
|
|
job_update = JobUpdate(
|
|
status=JobStatus.failed,
|
|
completed_at=datetime.now(timezone.utc).replace(tzinfo=None),
|
|
metadata={"error": str(e)},
|
|
)
|
|
await self.job_manager.update_job_by_id_async(job_id=run_id, job_update=job_update, actor=self.actor)
|
|
raise
|