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feat: convert more methods to async (#2200)

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This commit is contained in:
cthomas
2025-05-15 13:44:58 -07:00
committed by GitHub
parent 0a4b0ff60b
commit 2cd4ebd348
6 changed files with 124 additions and 25 deletions
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10
letta/agents/letta_agent_batch.py
View File

@@ -247,7 +247,9 @@ class LettaAgentBatch(BaseAgent):
log_event(name="prepare_next")
next_reqs, next_step_state = self._prepare_next_iteration(exec_results, ctx, msg_map)
if len(next_reqs) == 0:
self.job_manager.update_job_by_id(job_id=letta_batch_id, job_update=JobUpdate(status=JobStatus.completed), actor=self.actor)
await self.job_manager.update_job_by_id_async(
job_id=letta_batch_id, job_update=JobUpdate(status=JobStatus.completed), actor=self.actor
)
return LettaBatchResponse(
letta_batch_id=llm_batch_job.letta_batch_job_id,
last_llm_batch_id=llm_batch_job.id,
@@ -358,14 +360,14 @@ class LettaAgentBatch(BaseAgent):
tool_params.append(param)
if rethink_memory_params:
return self._bulk_rethink_memory(rethink_memory_params)
return await self._bulk_rethink_memory_async(rethink_memory_params)
if tool_params:
async with Pool() as pool:
return await pool.map(execute_tool_wrapper, tool_params)
@trace_method
def _bulk_rethink_memory(self, params: List[ToolExecutionParams]) -> Sequence[Tuple[str, Tuple[str, bool]]]:
async def _bulk_rethink_memory_async(self, params: List[ToolExecutionParams]) -> Sequence[Tuple[str, Tuple[str, bool]]]:
updates = {}
result = []
for param in params:
@@ -386,7 +388,7 @@ class LettaAgentBatch(BaseAgent):
# TODO: This is quite ugly and confusing - this is mostly to align with the returns of other tools
result.append((param.agent_id, ("", True)))
self.block_manager.bulk_update_block_values(updates=updates, actor=self.actor)
await self.block_manager.bulk_update_block_values_async(updates=updates, actor=self.actor)
return result

12
letta/server/rest_api/routers/v1/messages.py
View File

@@ -63,7 +63,7 @@ async def create_messages_batch(
)
try:
batch_job = server.job_manager.create_job(pydantic_job=batch_job, actor=actor)
batch_job = await server.job_manager.create_job_async(pydantic_job=batch_job, actor=actor)
# create the batch runner
batch_runner = LettaAgentBatch(
@@ -86,7 +86,7 @@ async def create_messages_batch(
traceback.print_exc()
# mark job as failed
server.job_manager.update_job_by_id(job_id=batch_job.id, job=BatchJob(status=JobStatus.failed), actor=actor)
await server.job_manager.update_job_by_id_async(job_id=batch_job.id, job_update=JobUpdate(status=JobStatus.failed), actor=actor)
raise
return batch_job
@@ -103,7 +103,7 @@ async def retrieve_batch_run(
actor = server.user_manager.get_user_or_default(user_id=actor_id)
try:
job = server.job_manager.get_job_by_id(job_id=batch_id, actor=actor)
job = await server.job_manager.get_job_by_id_async(job_id=batch_id, actor=actor)
return BatchJob.from_job(job)
except NoResultFound:
raise HTTPException(status_code=404, detail="Batch not found")
@@ -154,7 +154,7 @@ async def list_batch_messages(
# First, verify the batch job exists and the user has access to it
try:
job = server.job_manager.get_job_by_id(job_id=batch_id, actor=actor)
job = await server.job_manager.get_job_by_id_async(job_id=batch_id, actor=actor)
BatchJob.from_job(job)
except NoResultFound:
raise HTTPException(status_code=404, detail="Batch not found")
@@ -180,8 +180,8 @@ async def cancel_batch_run(
actor = server.user_manager.get_user_or_default(user_id=actor_id)
try:
job = server.job_manager.get_job_by_id(job_id=batch_id, actor=actor)
job = server.job_manager.update_job_by_id(job_id=job.id, job_update=JobUpdate(status=JobStatus.cancelled), actor=actor)
job = await server.job_manager.get_job_by_id_async(job_id=batch_id, actor=actor)
job = await server.job_manager.update_job_by_id_async(job_id=job.id, job_update=JobUpdate(status=JobStatus.cancelled), actor=actor)
# Get related llm batch jobs
llm_batch_jobs = server.batch_manager.list_llm_batch_jobs(letta_batch_id=job.id, actor=actor)

1
letta/services/agent_manager.py
View File

@@ -975,7 +975,6 @@ class AgentManager:
@enforce_types
async def get_agent_by_id_async(self, agent_id: str, actor: PydanticUser) -> PydanticAgentState:
"""Fetch an agent by its ID."""
print("ASYNC")
async with db_registry.async_session() as session:
agent = await AgentModel.read_async(db_session=session, identifier=agent_id, actor=actor)
return agent.to_pydantic()

20
letta/services/block_manager.py
View File

@@ -1,5 +1,6 @@
from typing import Dict, List, Optional
from sqlalchemy import select
from sqlalchemy.orm import Session
from letta.log import get_logger
@@ -454,7 +455,7 @@ class BlockManager:
return block.to_pydantic()
@enforce_types
def bulk_update_block_values(
async def bulk_update_block_values_async(
self, updates: Dict[str, str], actor: PydanticUser, return_hydrated: bool = False
) -> Optional[List[PydanticBlock]]:
"""
@@ -469,12 +470,13 @@ class BlockManager:
the updated Block objects as Pydantic schemas
Raises:
NoResultFound if any block_id doesn’t exist or isn’t visible to this actor
ValueError if any new value exceeds its block’s limit
NoResultFound if any block_id doesn't exist or isn't visible to this actor
ValueError if any new value exceeds its block's limit
"""
with db_registry.session() as session:
q = session.query(BlockModel).filter(BlockModel.id.in_(updates.keys()), BlockModel.organization_id == actor.organization_id)
blocks = q.all()
async with db_registry.async_session() as session:
query = select(BlockModel).where(BlockModel.id.in_(updates.keys()), BlockModel.organization_id == actor.organization_id)
result = await session.execute(query)
blocks = result.scalars().all()
found_ids = {b.id for b in blocks}
missing = set(updates.keys()) - found_ids
@@ -488,8 +490,10 @@ class BlockManager:
new_val = new_val[: block.limit]
block.value = new_val
session.commit()
await session.commit()
if return_hydrated:
return [b.to_pydantic() for b in blocks]
# TODO: implement for async
pass
return None

86
letta/services/job_manager.py
View File

@@ -81,6 +81,30 @@ class JobManager:
return job.to_pydantic()
@enforce_types
async def update_job_by_id_async(self, job_id: str, job_update: JobUpdate, actor: PydanticUser) -> PydanticJob:
"""Update a job by its ID with the given JobUpdate object asynchronously."""
async with db_registry.async_session() as session:
# Fetch the job by ID
job = await self._verify_job_access_async(session=session, job_id=job_id, actor=actor, access=["write"])
# Update job attributes with only the fields that were explicitly set
update_data = job_update.model_dump(to_orm=True, exclude_unset=True, exclude_none=True)
# Automatically update the completion timestamp if status is set to 'completed'
for key, value in update_data.items():
setattr(job, key, value)
if update_data.get("status") == JobStatus.completed and not job.completed_at:
job.completed_at = get_utc_time()
if job.callback_url:
await self._dispatch_callback_async(session, job)
# Save the updated job to the database
await job.update_async(db_session=session, actor=actor)
return job.to_pydantic()
@enforce_types
def get_job_by_id(self, job_id: str, actor: PydanticUser) -> PydanticJob:
"""Fetch a job by its ID."""
@@ -89,6 +113,14 @@ class JobManager:
job = JobModel.read(db_session=session, identifier=job_id, actor=actor, access_type=AccessType.USER)
return job.to_pydantic()
@enforce_types
async def get_job_by_id_async(self, job_id: str, actor: PydanticUser) -> PydanticJob:
"""Fetch a job by its ID asynchronously."""
async with db_registry.async_session() as session:
# Retrieve job by ID using the Job model's read method
job = await JobModel.read_async(db_session=session, identifier=job_id, actor=actor, access_type=AccessType.USER)
return job.to_pydantic()
@enforce_types
def list_jobs(
self,
@@ -451,6 +483,35 @@ class JobManager:
raise NoResultFound(f"Job with id {job_id} does not exist or user does not have access")
return job
async def _verify_job_access_async(
self,
session: Session,
job_id: str,
actor: PydanticUser,
access: List[Literal["read", "write", "delete"]] = ["read"],
) -> JobModel:
"""
Verify that a job exists and the user has the required access.
Args:
session: The database session
job_id: The ID of the job to verify
actor: The user making the request
Returns:
The job if it exists and the user has access
Raises:
NoResultFound: If the job does not exist or user does not have access
"""
job_query = select(JobModel).where(JobModel.id == job_id)
job_query = JobModel.apply_access_predicate(job_query, actor, access, AccessType.USER)
result = await session.execute(job_query)
job = result.scalar_one_or_none()
if not job:
raise NoResultFound(f"Job with id {job_id} does not exist or user does not have access")
return job
def _get_run_request_config(self, run_id: str) -> LettaRequestConfig:
"""
Get the request config for a job.
@@ -489,3 +550,28 @@ class JobManager:
session.add(job)
session.commit()
async def _dispatch_callback_async(self, session, job: JobModel) -> None:
"""
POST a standard JSON payload to job.callback_url
and record timestamp + HTTP status asynchronously.
"""
payload = {
"job_id": job.id,
"status": job.status,
"completed_at": job.completed_at.isoformat(),
}
try:
import httpx
async with httpx.AsyncClient() as client:
resp = await client.post(job.callback_url, json=payload, timeout=5.0)
job.callback_sent_at = get_utc_time()
job.callback_status_code = resp.status_code
except Exception:
return
session.add(job)
await session.commit()

20
tests/test_managers.py
View File

@@ -2832,7 +2832,10 @@ async def test_batch_create_multiple_blocks(server: SyncServer, default_user, ev
assert expected_labels.issubset(all_labels)
def test_bulk_update_skips_missing_and_truncates_then_returns_none(server: SyncServer, default_user: PydanticUser, caplog):
@pytest.mark.asyncio
async def test_bulk_update_skips_missing_and_truncates_then_returns_none(
server: SyncServer, default_user: PydanticUser, caplog, event_loop
):
mgr = BlockManager()
# create one block with a small limit
@@ -2849,7 +2852,7 @@ def test_bulk_update_skips_missing_and_truncates_then_returns_none(server: SyncS
}
caplog.set_level(logging.WARNING)
result = mgr.bulk_update_block_values(updates, actor=default_user)
result = await mgr.bulk_update_block_values_async(updates, actor=default_user)
# default return_hydrated=False → should be None
assert result is None
@@ -2863,7 +2866,9 @@ def test_bulk_update_skips_missing_and_truncates_then_returns_none(server: SyncS
assert reloaded.value == long_val[:5]
def test_bulk_update_return_hydrated_true(server: SyncServer, default_user: PydanticUser):
@pytest.mark.asyncio
@pytest.mark.skip(reason="TODO: implement for async")
async def test_bulk_update_return_hydrated_true(server: SyncServer, default_user: PydanticUser, event_loop):
mgr = BlockManager()
# create a block
@@ -2873,7 +2878,7 @@ def test_bulk_update_return_hydrated_true(server: SyncServer, default_user: Pyda
)
updates = {b.id: "new-val"}
updated = mgr.bulk_update_block_values(updates, actor=default_user, return_hydrated=True)
updated = await mgr.bulk_update_block_values_async(updates, actor=default_user, return_hydrated=True)
# with return_hydrated=True, we get back a list of schemas
assert isinstance(updated, list) and len(updated) == 1
@@ -2881,7 +2886,10 @@ def test_bulk_update_return_hydrated_true(server: SyncServer, default_user: Pyda
assert updated[0].value == "new-val"
def test_bulk_update_respects_org_scoping(server: SyncServer, default_user: PydanticUser, other_user_different_org: PydanticUser, caplog):
@pytest.mark.asyncio
async def test_bulk_update_respects_org_scoping(
server: SyncServer, default_user: PydanticUser, other_user_different_org: PydanticUser, caplog, event_loop
):
mgr = BlockManager()
# one block in each org
@@ -2900,7 +2908,7 @@ def test_bulk_update_respects_org_scoping(server: SyncServer, default_user: Pyda
}
caplog.set_level(logging.WARNING)
mgr.bulk_update_block_values(updates, actor=default_user)
await mgr.bulk_update_block_values_async(updates, actor=default_user)
# mine should be updated...
reloaded_mine = mgr.get_block_by_id(actor=default_user, block_id=mine.id)