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Abhay Singh 2026-08-04 19:57:21 -07:00 • committed by GitHub
commit 89c34fcc8e
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2 changed files with 149 additions and 12 deletions

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@ -387,8 +387,14 @@ class SupermemoryCartesiaAgent:
Yields:
Output events from the wrapped agent.
"""
try:
if type(event).__name__ == "UserTurnEnded":
# Memory enrichment must never prevent the agent from running, so it
# gets its own guard. The agent iteration stays outside of it: with
# the old whole-body try/except, an agent error raised mid-stream
# (after some chunks were already yielded) triggered a fallback that
# re-ran the entire agent — duplicating the visible response and the
# LLM call.
if type(event).__name__ == "UserTurnEnded":
try:
logger.info("[Supermemory] Processing UserTurnEnded event")
event, memory_context = await self._enrich_event_with_memories(event)
@ -433,17 +439,13 @@ class SupermemoryCartesiaAgent:
self._background_tasks.add(task)
task.add_done_callback(self._background_tasks.discard)
self._messages_sent_count = 1 # CRITICAL: Increment counter to prevent duplicate storage
except Exception as e:
logger.error(f"[Supermemory] Error in memory enrichment: {e}")
async for output in self.agent.process(env, event):
yield output
else:
async for output in self.agent.process(env, event):
yield output
except Exception as e:
logger.error(f"[Supermemory] Error in process: {e}")
async for output in self.agent.process(env, event):
yield output
# Run the wrapped agent exactly once; its errors propagate to the
# caller instead of triggering a duplicate run.
async for output in self.agent.process(env, event):
yield output
def reset_memory_tracking(self) -> None:
"""Reset memory tracking for a new conversation."""

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@ -0,0 +1,135 @@
"""Regression tests: the wrapped agent must run exactly once per event.
The whole body of process() used to sit in one try/except whose fallback
re-invoked self.agent.process(). An agent error raised mid-stream — after
chunks had already been yielded to the caller — therefore re-ran the entire
agent: duplicated visible output and a duplicate LLM call. Memory-enrichment
failures are the only thing the fallback was meant to absorb.
"""
from __future__ import annotations
import sys
import types
import unittest
from types import SimpleNamespace
from unittest.mock import AsyncMock
def _install_test_stubs() -> None:
if "loguru" not in sys.modules:
loguru_module = types.ModuleType("loguru")
class _Logger:
def info(self, *_args, **_kwargs):
return None
def debug(self, *_args, **_kwargs):
return None
def warning(self, *_args, **_kwargs):
return None
def error(self, *_args, **_kwargs):
return None
loguru_module.logger = _Logger()
sys.modules["loguru"] = loguru_module
if "pydantic" not in sys.modules:
pydantic_module = types.ModuleType("pydantic")
class BaseModel:
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
def Field(*, default=None, **_kwargs):
return default
pydantic_module.BaseModel = BaseModel
pydantic_module.Field = Field
sys.modules["pydantic"] = pydantic_module
_install_test_stubs()
from supermemory_cartesia.agent import SupermemoryCartesiaAgent
class _StreamingAgent:
"""Inner agent that yields chunks; optionally dies mid-stream."""
def __init__(self, fail_after_chunks: bool = False):
self.fail_after_chunks = fail_after_chunks
self.run_count = 0
async def process(self, env, event):
self.run_count += 1
yield "chunk-1"
yield "chunk-2"
if self.fail_after_chunks:
raise RuntimeError("stream dropped")
def _wrap(inner):
return SupermemoryCartesiaAgent(
agent=inner,
api_key="mock_key",
container_tag="user-123",
custom_id="conversation-456",
)
def _user_turn_ended_event():
return type("UserTurnEnded", (), {})()
class TestSingleAgentRun(unittest.IsolatedAsyncioTestCase):
async def test_mid_stream_agent_error_is_not_retried(self) -> None:
inner = _StreamingAgent(fail_after_chunks=True)
wrapper = _wrap(inner)
outputs = []
with self.assertRaises(RuntimeError):
async for out in wrapper.process(None, SimpleNamespace()):
outputs.append(out)
# The caller saw each chunk exactly once and the agent ran once —
# no duplicated response, no duplicate LLM call.
self.assertEqual(outputs, ["chunk-1", "chunk-2"])
self.assertEqual(inner.run_count, 1)
async def test_mid_stream_error_on_user_turn_is_not_retried(self) -> None:
inner = _StreamingAgent(fail_after_chunks=True)
wrapper = _wrap(inner)
wrapper._enrich_event_with_memories = AsyncMock(
side_effect=lambda event: (event, None)
)
outputs = []
with self.assertRaises(RuntimeError):
async for out in wrapper.process(None, _user_turn_ended_event()):
outputs.append(out)
self.assertEqual(outputs, ["chunk-1", "chunk-2"])
self.assertEqual(inner.run_count, 1)
async def test_enrichment_failure_still_runs_agent_once(self) -> None:
inner = _StreamingAgent()
wrapper = _wrap(inner)
wrapper._enrich_event_with_memories = AsyncMock(
side_effect=RuntimeError("enrichment exploded")
)
outputs = [
out async for out in wrapper.process(None, _user_turn_ended_event())
]
# Memory failure is absorbed; the agent still runs, exactly once.
self.assertEqual(outputs, ["chunk-1", "chunk-2"])
self.assertEqual(inner.run_count, 1)
if __name__ == "__main__":
unittest.main()